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dnet-hadoop
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Code Pull Requests Activity

made the project compilable

This commit is contained in:
Sandro La Bruzzo 2023-07-11 11:37:32 +02:00
parent d80f12da06
commit acf947442a
16 changed files with 178 additions and 160 deletions
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5
dhp-workflows/dhp-aggregation/pom.xml
View File

@ -77,6 +77,11 @@
<groupId>dom4j</groupId>
<artifactId>dom4j</artifactId>
</dependency>
<dependency>
<groupId>org.scala-lang.modules</groupId>
<artifactId>scala-xml_2.12</artifactId>
<version>2.1.0</version>
</dependency>
<dependency>
<groupId>xml-apis</groupId>

4
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/project/utils/EXCELParser.java
View File

@ -7,8 +7,8 @@ import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import org.apache.commons.lang.StringUtils;
import org.apache.commons.lang.reflect.FieldUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.lang3.reflect.FieldUtils;
import org.apache.poi.openxml4j.exceptions.InvalidFormatException;
import org.apache.poi.openxml4j.opc.OPCPackage;
import org.apache.poi.ss.usermodel.Cell;

27
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/project/utils/ReadProjects.java
View File

@ -1,13 +1,11 @@
package eu.dnetlib.dhp.actionmanager.project.utils;
import java.io.*;
import java.nio.charset.StandardCharsets;
import java.util.ArrayList;
import java.util.List;
import java.util.zip.ZipEntry;
import java.util.zip.ZipInputStream;
import com.fasterxml.jackson.core.type.TypeReference;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.project.PrepareProjects;
import eu.dnetlib.dhp.actionmanager.project.utils.model.Project;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataInputStream;
@ -17,12 +15,13 @@ import org.apache.hadoop.fs.Path;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.core.type.TypeReference;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.project.PrepareProjects;
import eu.dnetlib.dhp.actionmanager.project.utils.model.Project;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import java.io.BufferedWriter;
import java.io.IOException;
import java.io.OutputStreamWriter;
import java.io.Serializable;
import java.nio.charset.StandardCharsets;
import java.util.ArrayList;
import java.util.List;
/**
* @author miriam.baglioni
@ -66,7 +65,7 @@ public class ReadProjects implements Serializable {
FSDataInputStream inputStream = fs.open(hdfsreadpath);
ArrayList<Project> projects = OBJECT_MAPPER
List<Project> projects = OBJECT_MAPPER
.readValue(
IOUtils.toString(inputStream, "UTF-8"),
new TypeReference<List<Project>>() {

2
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/project/utils/ReadTopics.java
View File

@ -68,7 +68,7 @@ public class ReadTopics implements Serializable {
FSDataInputStream inputStream = fs.open(hdfsreadpath);
ArrayList<JsonTopic> topics = OBJECT_MAPPER
List<JsonTopic> topics = OBJECT_MAPPER
.readValue(
IOUtils.toString(inputStream, "UTF-8"),
new TypeReference<List<JsonTopic>>() {

2
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/collection/plugin/oai/OaiIterator.java
View File

@ -9,7 +9,7 @@ import java.util.Iterator;
import java.util.Queue;
import java.util.concurrent.PriorityBlockingQueue;
import org.apache.commons.lang.StringUtils;
import org.apache.commons.lang3.StringUtils;
import org.dom4j.Document;
import org.dom4j.DocumentException;
import org.dom4j.DocumentHelper;

8
dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/ebi/SparkCreateBaselineDataFrame.scala
View File

@ -18,9 +18,9 @@ import org.apache.spark.sql.expressions.Aggregator
import org.apache.spark.sql._
import org.slf4j.{Logger, LoggerFactory}
import java.io.InputStream
import java.io.{ByteArrayInputStream, InputStream}
import scala.io.Source
import scala.xml.pull.XMLEventReader
//import scala.xml.pull.XMLEventReader
object SparkCreateBaselineDataFrame {
@ -197,8 +197,8 @@ object SparkCreateBaselineDataFrame {
val ds: Dataset[PMArticle] = spark.createDataset(
k.filter(i => i._1.endsWith(".gz"))
.flatMap(i => {
val xml = new XMLEventReader(Source.fromBytes(i._2.getBytes()))
new PMParser(xml)
// val xml = new XMLEventReader(Source.fromBytes(i._2.getBytes()))
new PMParser(new ByteArrayInputStream(i._2.getBytes()))
})
)
ds.map(p => (p.getPmid, p))(Encoders.tuple(Encoders.STRING, PMEncoder))

170
dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/pubmed/PMParser.scala
View File

@ -1,11 +1,12 @@
package eu.dnetlib.dhp.sx.bio.pubmed
import javax.xml.stream.{ XMLInputFactory, XMLEventReader, XMLStreamConstants }
import scala.xml.MetaData
import scala.xml.pull.{EvElemEnd, EvElemStart, EvText, XMLEventReader}
//import scala.xml.pull.{EvElemEnd, EvElemStart, EvText, XMLEventReader}
/** @param xml
*/
class PMParser(xml: XMLEventReader) extends Iterator[PMArticle] {
class PMParser(stream: java.io.InputStream) extends Iterator[PMArticle] {
var currentArticle: PMArticle = generateNextArticle()
@ -17,6 +18,12 @@ class PMParser(xml: XMLEventReader) extends Iterator[PMArticle] {
tmp
}
private val reader: XMLEventReader = {
val factory = XMLInputFactory.newInstance()
factory.createXMLEventReader(stream)
}
def extractAttributes(attrs: MetaData, key: String): String = {
val res = attrs.get(key)
@ -50,83 +57,92 @@ class PMParser(xml: XMLEventReader) extends Iterator[PMArticle] {
var currentDay = "01"
var currentArticleType: String = null
while (xml.hasNext) {
xml.next match {
case EvElemStart(_, label, attrs, _) =>
currNode = label
while (reader.hasNext) {
label match {
case "PubmedArticle" => currentArticle = new PMArticle
case "Author" => currentAuthor = new PMAuthor
case "Journal" => currentJournal = new PMJournal
case "Grant" => currentGrant = new PMGrant
case "PublicationType" | "DescriptorName" =>
currentSubject = new PMSubject
currentSubject.setMeshId(extractAttributes(attrs, "UI"))
case "ArticleId" => currentArticleType = extractAttributes(attrs, "IdType")
case _ =>
}
case EvElemEnd(_, label) =>
label match {
case "PubmedArticle" => return currentArticle
case "Author" => currentArticle.getAuthors.add(currentAuthor)
case "Journal" => currentArticle.setJournal(currentJournal)
case "Grant" => currentArticle.getGrants.add(currentGrant)
case "PubMedPubDate" =>
if (currentArticle.getDate == null)
currentArticle.setDate(validate_Date(currentYear, currentMonth, currentDay))
case "PubDate" => currentJournal.setDate(s"$currentYear-$currentMonth-$currentDay")
case "DescriptorName" => currentArticle.getSubjects.add(currentSubject)
case "PublicationType" => currentArticle.getPublicationTypes.add(currentSubject)
case _ =>
}
case EvText(text) =>
if (currNode != null && text.trim.nonEmpty)
currNode match {
case "ArticleTitle" => {
if (currentArticle.getTitle == null)
currentArticle.setTitle(text.trim)
else
currentArticle.setTitle(currentArticle.getTitle + text.trim)
}
case "AbstractText" => {
if (currentArticle.getDescription == null)
currentArticle.setDescription(text.trim)
else
currentArticle.setDescription(currentArticle.getDescription + text.trim)
}
case "PMID" => currentArticle.setPmid(text.trim)
case "ArticleId" =>
if ("doi".equalsIgnoreCase(currentArticleType)) currentArticle.setDoi(text.trim)
if ("pmc".equalsIgnoreCase(currentArticleType)) currentArticle.setPmcId(text.trim)
case "Language" => currentArticle.setLanguage(text.trim)
case "ISSN" => currentJournal.setIssn(text.trim)
case "GrantID" => currentGrant.setGrantID(text.trim)
case "Agency" => currentGrant.setAgency(text.trim)
case "Country" => if (currentGrant != null) currentGrant.setCountry(text.trim)
case "Year" => currentYear = text.trim
case "Month" => currentMonth = text.trim
case "Day" => currentDay = text.trim
case "Volume" => currentJournal.setVolume(text.trim)
case "Issue" => currentJournal.setIssue(text.trim)
case "PublicationType" | "DescriptorName" => currentSubject.setValue(text.trim)
case "LastName" => {
if (currentAuthor != null)
currentAuthor.setLastName(text.trim)
}
case "ForeName" =>
if (currentAuthor != null)
currentAuthor.setForeName(text.trim)
case "Title" =>
if (currentJournal.getTitle == null)
currentJournal.setTitle(text.trim)
else
currentJournal.setTitle(currentJournal.getTitle + text.trim)
case _ =>
val next = reader.nextEvent()
}
case _ =>
}
//
//
// reader.next match {
//
// case
//
// case EvElemStart(_, label, attrs, _) =>
// currNode = label
//
// label match {
// case "PubmedArticle" => currentArticle = new PMArticle
// case "Author" => currentAuthor = new PMAuthor
// case "Journal" => currentJournal = new PMJournal
// case "Grant" => currentGrant = new PMGrant
// case "PublicationType" | "DescriptorName" =>
// currentSubject = new PMSubject
// currentSubject.setMeshId(extractAttributes(attrs, "UI"))
// case "ArticleId" => currentArticleType = extractAttributes(attrs, "IdType")
// case _ =>
// }
// case EvElemEnd(_, label) =>
// label match {
// case "PubmedArticle" => return currentArticle
// case "Author" => currentArticle.getAuthors.add(currentAuthor)
// case "Journal" => currentArticle.setJournal(currentJournal)
// case "Grant" => currentArticle.getGrants.add(currentGrant)
// case "PubMedPubDate" =>
// if (currentArticle.getDate == null)
// currentArticle.setDate(validate_Date(currentYear, currentMonth, currentDay))
// case "PubDate" => currentJournal.setDate(s"$currentYear-$currentMonth-$currentDay")
// case "DescriptorName" => currentArticle.getSubjects.add(currentSubject)
// case "PublicationType" => currentArticle.getPublicationTypes.add(currentSubject)
// case _ =>
// }
// case EvText(text) =>
// if (currNode != null && text.trim.nonEmpty)
// currNode match {
// case "ArticleTitle" => {
// if (currentArticle.getTitle == null)
// currentArticle.setTitle(text.trim)
// else
// currentArticle.setTitle(currentArticle.getTitle + text.trim)
// }
// case "AbstractText" => {
// if (currentArticle.getDescription == null)
// currentArticle.setDescription(text.trim)
// else
// currentArticle.setDescription(currentArticle.getDescription + text.trim)
// }
// case "PMID" => currentArticle.setPmid(text.trim)
// case "ArticleId" =>
// if ("doi".equalsIgnoreCase(currentArticleType)) currentArticle.setDoi(text.trim)
// if ("pmc".equalsIgnoreCase(currentArticleType)) currentArticle.setPmcId(text.trim)
// case "Language" => currentArticle.setLanguage(text.trim)
// case "ISSN" => currentJournal.setIssn(text.trim)
// case "GrantID" => currentGrant.setGrantID(text.trim)
// case "Agency" => currentGrant.setAgency(text.trim)
// case "Country" => if (currentGrant != null) currentGrant.setCountry(text.trim)
// case "Year" => currentYear = text.trim
// case "Month" => currentMonth = text.trim
// case "Day" => currentDay = text.trim
// case "Volume" => currentJournal.setVolume(text.trim)
// case "Issue" => currentJournal.setIssue(text.trim)
// case "PublicationType" | "DescriptorName" => currentSubject.setValue(text.trim)
// case "LastName" => {
// if (currentAuthor != null)
// currentAuthor.setLastName(text.trim)
// }
// case "ForeName" =>
// if (currentAuthor != null)
// currentAuthor.setForeName(text.trim)
// case "Title" =>
// if (currentJournal.getTitle == null)
// currentJournal.setTitle(text.trim)
// else
// currentJournal.setTitle(currentJournal.getTitle + text.trim)
// case _ =>
//
// }
// case _ =>
// }
}
null

63
dhp-workflows/dhp-aggregation/src/test/scala/eu/dnetlib/dhp/sx/bio/BioScholixTest.scala
View File

@ -5,7 +5,7 @@ import eu.dnetlib.dhp.aggregation.AbstractVocabularyTest
import eu.dnetlib.dhp.schema.oaf.utils.PidType
import eu.dnetlib.dhp.schema.oaf.{Oaf, Publication, Relation, Result}
import eu.dnetlib.dhp.sx.bio.BioDBToOAF.ScholixResolved
import eu.dnetlib.dhp.sx.bio.pubmed.{PMArticle, PMParser, PMSubject, PubMedToOaf}
import eu.dnetlib.dhp.sx.bio.pubmed.{PMArticle, PMSubject, PubMedToOaf}
import org.json4s.DefaultFormats
import org.json4s.JsonAST.{JField, JObject, JString}
import org.json4s.jackson.JsonMethods.parse
@ -17,9 +17,8 @@ import org.mockito.junit.jupiter.MockitoExtension
import java.io.{BufferedReader, InputStream, InputStreamReader}
import java.util.zip.GZIPInputStream
import scala.collection.JavaConverters._
import scala.collection.mutable.ListBuffer
import scala.io.Source
import scala.xml.pull.XMLEventReader
@ExtendWith(Array(classOf[MockitoExtension]))
class BioScholixTest extends AbstractVocabularyTest {
@ -47,14 +46,14 @@ class BioScholixTest extends AbstractVocabularyTest {
}
}
@Test
def testEBIData() = {
val inputXML = Source
.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
.mkString
val xml = new XMLEventReader(Source.fromBytes(inputXML.getBytes()))
new PMParser(xml).foreach(s => println(mapper.writeValueAsString(s)))
}
// @Test
// def testEBIData() = {
// val inputXML = Source
// .fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
// .mkString
// val xml = new XMLEventReader(Source.fromBytes(inputXML.getBytes()))
// new PMParser(xml).foreach(s => println(mapper.writeValueAsString(s)))
// }
@Test
def testPubmedToOaf(): Unit = {
@ -89,14 +88,14 @@ class BioScholixTest extends AbstractVocabularyTest {
}
@Test
def testParsingPubmedXML(): Unit = {
val xml = new XMLEventReader(
Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
)
val parser = new PMParser(xml)
parser.foreach(checkPMArticle)
}
// @Test
// def testParsingPubmedXML(): Unit = {
// val xml = new XMLEventReader(
// Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
// )
// val parser = new PMParser(xml)
// parser.foreach(checkPMArticle)
// }
private def checkPubmedPublication(o: Oaf): Unit = {
assertTrue(o.isInstanceOf[Publication])
@ -153,19 +152,19 @@ class BioScholixTest extends AbstractVocabularyTest {
assertTrue(hasOldOpenAIREID)
}
@Test
def testPubmedMapping(): Unit = {
val xml = new XMLEventReader(
Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
)
val parser = new PMParser(xml)
val results = ListBuffer[Oaf]()
parser.foreach(x => results += PubMedToOaf.convert(x, vocabularies))
results.foreach(checkPubmedPublication)
}
// @Test
// def testPubmedMapping(): Unit = {
//
// val xml = new XMLEventReader(
// Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
// )
// val parser = new PMParser(xml)
// val results = ListBuffer[Oaf]()
// parser.foreach(x => results += PubMedToOaf.convert(x, vocabularies))
//
// results.foreach(checkPubmedPublication)
//
// }
@Test
def testPDBToOAF(): Unit = {

2
dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/CheckDuplictedIdsJob.java
View File

@ -2,7 +2,7 @@
package eu.dnetlib.dhp.broker.oa;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang.StringUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.MapFunction;

4
dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/util/TrustUtils.java
View File

@ -47,8 +47,8 @@ public class TrustUtils {
}
try {
final Row doc1 = sparkDedupConfig.rowFromJson().apply(mapper.writeValueAsString(r1));
final Row doc2 = sparkDedupConfig.rowFromJson().apply(mapper.writeValueAsString(r2));
final Row doc1 = sparkDedupConfig.rowFromJson(mapper.writeValueAsString(r2));
final Row doc2 = sparkDedupConfig.rowFromJson(mapper.writeValueAsString(r2));
final double score = new TreeProcessor(dedupConfig).computeScore(doc1, doc2);

2
dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/util/aggregators/stats/StatsAggregator.java
View File

@ -1,7 +1,7 @@
package eu.dnetlib.dhp.broker.oa.util.aggregators.stats;
import org.apache.commons.lang.StringUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.sql.Encoder;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.expressions.Aggregator;

9
dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/samples/SimpleVariableJobTest.java
View File

@ -12,6 +12,7 @@ import java.util.stream.Collectors;
import org.apache.commons.io.FileUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
@ -82,8 +83,8 @@ public class SimpleVariableJobTest {
final long n = spark
.createDataset(inputList, Encoders.STRING())
.filter(s -> filter(map.get(s)))
.map((MapFunction<String, String>) s -> s.toLowerCase(), Encoders.STRING())
.filter((FilterFunction<String>) s -> filter(map.get(s)))
.map((MapFunction<String, String>) String::toLowerCase, Encoders.STRING())
.count();
System.out.println(n);
@ -96,8 +97,8 @@ public class SimpleVariableJobTest {
final long n = spark
.createDataset(inputList, Encoders.STRING())
.filter(s -> filter(staticMap.get(s)))
.map((MapFunction<String, String>) s -> s.toLowerCase(), Encoders.STRING())
.filter((FilterFunction<String>) s -> filter(staticMap.get(s)))
.map((MapFunction<String, String>) String::toLowerCase, Encoders.STRING())
.count();
System.out.println(n);

16
dhp-workflows/dhp-enrichment/src/test/java/eu/dnetlib/dhp/orcidtoresultfromsemrel/OrcidPropagationJobTest.java
View File

@ -1,10 +1,9 @@
package eu.dnetlib.dhp.orcidtoresultfromsemrel;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Dataset;
import org.apache.commons.io.FileUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
@ -19,12 +18,9 @@ import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.cloudera.org.codehaus.jackson.map.jsontype.impl.ClassNameIdResolver;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.PropagationConstant;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Dataset;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
public class OrcidPropagationJobTest {

4
dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/XmlIndexingJob.java
View File

@ -14,6 +14,7 @@ import javax.xml.transform.TransformerException;
import javax.xml.transform.stream.StreamResult;
import javax.xml.transform.stream.StreamSource;
import com.lucidworks.spark.BatchSizeType;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.hadoop.io.Text;
@ -156,7 +157,8 @@ public class XmlIndexingJob {
switch (outputFormat) {
case SOLR:
final String collection = ProvisionConstants.getCollectionName(format);
SolrSupport.indexDocs(zkHost, collection, batchSize, docs.rdd());
BatchSizeType bt = BatchSizeType.NUM_DOCS;
SolrSupport.indexDocs(zkHost, collection, batchSize, bt,docs.rdd());
break;
case HDFS:
spark

18
dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/utils/XmlRecordFactory.java
View File

@ -31,7 +31,7 @@ import org.dom4j.Node;
import org.dom4j.io.OutputFormat;
import org.dom4j.io.SAXReader;
import org.dom4j.io.XMLWriter;
import org.json4s.Xml;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.google.common.base.Joiner;
@ -1065,7 +1065,7 @@ public class XmlRecordFactory implements Serializable {
metadata
.add(XmlSerializationUtils.asXmlElement("coderepositoryurl", re.getCodeRepositoryUrl()));
}
if (re.getResulttype() != null && re.getResulttype().isBlank()) {
if (re.getResulttype() != null && re.getResulttype().hasBlankValues()) {
metadata.add(XmlSerializationUtils.mapQualifier("resulttype", re.getResulttype()));
}
if (re.getCollectedfrom() != null) {
@ -1092,13 +1092,13 @@ public class XmlRecordFactory implements Serializable {
if (isNotBlank(re.getOfficialname())) {
metadata.add(XmlSerializationUtils.asXmlElement("officialname", re.getOfficialname()));
}
if (re.getDatasourcetype() != null && !re.getDatasourcetype().isBlank()) {
if (re.getDatasourcetype() != null && !re.getDatasourcetype().hasBlankValues()) {
metadata.add(XmlSerializationUtils.mapQualifier("datasourcetype", re.getDatasourcetype()));
}
if (re.getDatasourcetypeui() != null && !re.getDatasourcetypeui().isBlank()) {
if (re.getDatasourcetypeui() != null && !re.getDatasourcetypeui().hasBlankValues()) {
metadata.add(XmlSerializationUtils.mapQualifier("datasourcetypeui", re.getDatasourcetypeui()));
}
if (re.getOpenairecompatibility() != null && !re.getOpenairecompatibility().isBlank()) {
if (re.getOpenairecompatibility() != null && !re.getOpenairecompatibility().hasBlankValues()) {
metadata
.add(
XmlSerializationUtils
@ -1113,7 +1113,7 @@ public class XmlRecordFactory implements Serializable {
metadata
.add(XmlSerializationUtils.asXmlElement("legalshortname", re.getLegalshortname()));
}
if (re.getCountry() != null && !re.getCountry().isBlank()) {
if (re.getCountry() != null && !re.getCountry().hasBlankValues()) {
metadata.add(XmlSerializationUtils.mapQualifier("country", re.getCountry()));
}
break;
@ -1127,7 +1127,7 @@ public class XmlRecordFactory implements Serializable {
if (isNotBlank(re.getAcronym())) {
metadata.add(XmlSerializationUtils.asXmlElement("acronym", re.getAcronym()));
}
if (re.getContracttype() != null && !re.getContracttype().isBlank()) {
if (re.getContracttype() != null && !re.getContracttype().hasBlankValues()) {
metadata.add(XmlSerializationUtils.mapQualifier("contracttype", re.getContracttype()));
}
if (re.getFundingtree() != null && contexts != null) {
@ -1202,7 +1202,7 @@ public class XmlRecordFactory implements Serializable {
groupInstancesByUrl(((Result) entity).getInstance()).forEach(instance -> {
final List<String> fields = Lists.newArrayList();
if (instance.getAccessright() != null && !instance.getAccessright().isBlank()) {
if (instance.getAccessright() != null && !instance.getAccessright().hasBlankValues()) {
fields
.add(XmlSerializationUtils.mapQualifier("accessright", instance.getAccessright()));
}
@ -1243,7 +1243,7 @@ public class XmlRecordFactory implements Serializable {
instance
.getInstancetype()
.stream()
.filter(t -> !t.isBlank())
.filter(t -> !t.hasBlankValues())
.map(t -> XmlSerializationUtils.mapQualifier("instancetype", t))
.collect(Collectors.toList()));
}

2
dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/utils/XmlSerializationUtils.java
View File

@ -142,7 +142,7 @@ public class XmlSerializationUtils {
}
public static String getAttributes(final Qualifier q) {
if (q == null || q.isBlank())
if (q == null || q.hasBlankValues())
return "";
return new StringBuilder(" ")