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Merge branch 'beta' into project_organization_contribution

This commit is contained in:
Claudio Atzori 2022-07-28 09:49:59 +02:00
parent a8773af0cb 67525076ec
commit 09ccc7b472
78 changed files with 4309 additions and 747 deletions
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22
dhp-common/src/main/java/eu/dnetlib/dhp/common/api/ZenodoAPIClient.java
View File

@ -191,7 +191,7 @@ public class ZenodoAPIClient implements Serializable {
* @throws MissingConceptDoiException
*/
public int newVersion(String concept_rec_id) throws IOException, MissingConceptDoiException {
setDepositionId(concept_rec_id);
setDepositionId(concept_rec_id, 1);
String json = "{}";
OkHttpClient httpClient = new OkHttpClient.Builder().connectTimeout(600, TimeUnit.SECONDS).build();
@ -253,9 +253,10 @@ public class ZenodoAPIClient implements Serializable {
}
private void setDepositionId(String concept_rec_id) throws IOException, MissingConceptDoiException {
private void setDepositionId(String concept_rec_id, Integer page) throws IOException, MissingConceptDoiException {
ZenodoModelList zenodoModelList = new Gson().fromJson(getPrevDepositions(), ZenodoModelList.class);
ZenodoModelList zenodoModelList = new Gson()
.fromJson(getPrevDepositions(String.valueOf(page)), ZenodoModelList.class);
for (ZenodoModel zm : zenodoModelList) {
if (zm.getConceptrecid().equals(concept_rec_id)) {
@ -263,16 +264,23 @@ public class ZenodoAPIClient implements Serializable {
return;
}
}
throw new MissingConceptDoiException("The concept record id specified was missing in the list of depositions");
if (zenodoModelList.size() == 0)
throw new MissingConceptDoiException(
"The concept record id specified was missing in the list of depositions");
setDepositionId(concept_rec_id, page + 1);
}
private String getPrevDepositions() throws IOException {
private String getPrevDepositions(String page) throws IOException {
OkHttpClient httpClient = new OkHttpClient.Builder().connectTimeout(600, TimeUnit.SECONDS).build();
HttpUrl.Builder urlBuilder = HttpUrl.parse(urlString).newBuilder();
urlBuilder.addQueryParameter("page", page);
String url = urlBuilder.build().toString();
Request request = new Request.Builder()
.url(urlString)
.url(url)
.addHeader(HttpHeaders.CONTENT_TYPE, ContentType.APPLICATION_JSON.toString()) // add request headers
.addHeader(HttpHeaders.AUTHORIZATION, "Bearer " + access_token)
.get()

5
dhp-common/src/main/java/eu/dnetlib/dhp/utils/DHPUtils.java
View File

@ -75,9 +75,14 @@ public class DHPUtils {
final HttpGet req = new HttpGet(url);
log.info("MDStoreManager request: {}", req);
try (final CloseableHttpClient client = HttpClients.createDefault()) {
try (final CloseableHttpResponse response = client.execute(req)) {
final String json = IOUtils.toString(response.getEntity().getContent());
log.info("MDStoreManager response: {}", json);
final MDStoreWithInfo[] mdstores = objectMapper.readValue(json, MDStoreWithInfo[].class);
return Arrays
.stream(mdstores)

55
dhp-workflows/dhp-actionmanager/src/test/java/eu/dnetlib/dhp/actionmanager/promote/PromoteActionPayloadForGraphTableJobTest.java
View File

@ -172,6 +172,61 @@ public class PromoteActionPayloadForGraphTableJobTest {
}
}
@Test
void shouldPromoteActionPayload_custom() throws Exception {
Class<? extends Oaf> rowClazz = Publication.class;
Class<? extends Oaf> actionPayloadClazz = Result.class;
MergeAndGet.Strategy strategy = MergeAndGet.Strategy.MERGE_FROM_AND_GET;
// given
Path inputGraphTableDir = createGraphTable(inputGraphRootDir, rowClazz);
Path inputActionPayloadDir = createActionPayload(inputActionPayloadRootDir, rowClazz, actionPayloadClazz);
Path outputGraphTableDir = outputDir.resolve("graph").resolve(rowClazz.getSimpleName().toLowerCase());
// when
PromoteActionPayloadForGraphTableJob
.main(
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputGraphTablePath",
inputGraphTableDir.toString(),
"-graphTableClassName",
rowClazz.getCanonicalName(),
"-inputActionPayloadPath",
inputActionPayloadDir.toString(),
"-actionPayloadClassName",
actionPayloadClazz.getCanonicalName(),
"-outputGraphTablePath",
outputGraphTableDir.toString(),
"-mergeAndGetStrategy",
strategy.name(),
"--shouldGroupById",
"true"
});
// then
assertTrue(Files.exists(outputGraphTableDir));
List<? extends Oaf> actualOutputRows = readGraphTableFromJobOutput(outputGraphTableDir.toString(), rowClazz)
.collectAsList()
.stream()
.sorted(Comparator.comparingInt(Object::hashCode))
.collect(Collectors.toList());
Publication p = actualOutputRows
.stream()
.map(o -> (Publication) o)
.filter(o -> "50|4ScienceCRIS::6a67ed3daba1c380bf9de3c13ed9c879".equals(o.getId()))
.findFirst()
.get();
assertNotNull(p.getMeasures());
assertTrue(p.getMeasures().size() > 0);
}
public static Stream<Arguments> promoteJobTestParams() {
return Stream
.of(

3
dhp-workflows/dhp-actionmanager/src/test/resources/eu/dnetlib/dhp/actionmanager/promote/input/action_payload/publication_table/result.json
View File

@ -17,4 +17,5 @@
{"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}},"lastupdatetimestamp":1572018243405,"id":"50|CSC_________::00019460865d6cc381b36076131a5bc1","originalId":[],"collectedfrom":[],"pid":[],"dateofcollection":"","dateoftransformation":"","extraInfo":[],"oaiprovenance":null,"author":[],"resulttype":{"classid":"","classname":"","schemeid":"","schemename":""},"language":{"classid":"","classname":"","schemeid":"","schemename":""},"country":[],"subject":[{"value":"Computer Science::Networking and Internet Architecture","qualifier":{"classid":"arxiv","classname":"arxiv","schemeid":"dnet:subject_classification_typologies","schemename":"dnet:subject_classification_typologies"},"dataInfo":{"invisible":false,"inferred":true,"deletedbyinference":false,"trust":"0.7416","inferenceprovenance":"iis::document_classes","provenanceaction":{"classid":"iis","classname":"iis","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}}}],"title":[],"relevantdate":[],"description":[],"dateofacceptance":{"value":"","dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},"publisher":{"value":"","dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},"embargoenddate":{"value":"","dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},"source":[],"fulltext":[],"format":[],"contributor":[],"resourcetype":{"classid":"","classname":"","schemeid":"","schemename":""},"coverage":[],"bestaccessright":{"classid":"UNKNOWN","classname":"not available","schemeid":"dnet:access_modes","schemename":"dnet:access_modes"},"context":[],"externalReference":null,"instance":[]}
{"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}},"lastupdatetimestamp":1572018243405,"id":"50|CSC_________::00019460865d6cc381b36076131a5bc1","originalId":[],"collectedfrom":[],"pid":[],"dateofcollection":"","dateoftransformation":"","extraInfo":[],"oaiprovenance":null,"author":[],"resulttype":{"classid":"","classname":"","schemeid":"","schemename":""},"language":{"classid":"","classname":"","schemeid":"","schemename":""},"country":[],"subject":[{"value":"Computer Science::Networking and Internet Architecture","qualifier":{"classid":"arxiv","classname":"arxiv","schemeid":"dnet:subject_classification_typologies","schemename":"dnet:subject_classification_typologies"},"dataInfo":{"invisible":false,"inferred":true,"deletedbyinference":false,"trust":"0.7416","inferenceprovenance":"iis::document_classes","provenanceaction":{"classid":"iis","classname":"iis","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}}}],"title":[],"relevantdate":[],"description":[],"dateofacceptance":{"value":"","dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},"publisher":{"value":"","dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},"embargoenddate":{"value":"","dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},"source":[],"fulltext":[],"format":[],"contributor":[],"resourcetype":{"classid":"","classname":"","schemeid":"","schemename":""},"coverage":[],"bestaccessright":{"classid":"UNKNOWN","classname":"not available","schemeid":"dnet:access_modes","schemename":"dnet:access_modes"},"context":[],"externalReference":null,"instance":[]}
{"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}},"lastupdatetimestamp":1572018240982,"id":"50|CSC_________::0001d663c95c4132355e1765375a5275","originalId":[],"collectedfrom":[],"pid":[],"dateofcollection":"","dateoftransformation":"","extraInfo":[],"oaiprovenance":null,"author":[],"resulttype":{"classid":"","classname":"","schemeid":"","schemename":""},"language":{"classid":"","classname":"","schemeid":"","schemename":""},"country":[],"subject":[{"value":"animal diseases","qualifier":{"classid":"mesheuropmc","classname":"mesheuropmc","schemeid":"dnet:subject_classification_typologies","schemename":"dnet:subject_classification_typologies"},"dataInfo":{"invisible":false,"inferred":true,"deletedbyinference":false,"trust":"0.7461","inferenceprovenance":"iis::document_classes","provenanceaction":{"classid":"iis","classname":"iis","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}}}],"title":[],"relevantdate":[],"description":[],"dateofacceptance":{"value":"","dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},"publisher":{"value":"","dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},"embargoenddate":{"value":"","dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},"source":[],"fulltext":[],"format":[],"contributor":[],"resourcetype":{"classid":"","classname":"","schemeid":"","schemename":""},"coverage":[],"bestaccessright":{"classid":"UNKNOWN","classname":"not available","schemeid":"dnet:access_modes","schemename":"dnet:access_modes"},"context":[],"externalReference":null,"instance":[]}
{"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}},"lastupdatetimestamp":1572018240982,"id":"50|CSC_________::0001d663c95c4132355e1765375a5275","originalId":[],"collectedfrom":[],"pid":[],"dateofcollection":"","dateoftransformation":"","extraInfo":[],"oaiprovenance":null,"author":[],"resulttype":{"classid":"","classname":"","schemeid":"","schemename":""},"language":{"classid":"","classname":"","schemeid":"","schemename":""},"country":[],"subject":[{"value":"animal diseases","qualifier":{"classid":"mesheuropmc","classname":"mesheuropmc","schemeid":"dnet:subject_classification_typologies","schemename":"dnet:subject_classification_typologies"},"dataInfo":{"invisible":false,"inferred":true,"deletedbyinference":false,"trust":"0.7461","inferenceprovenance":"iis::document_classes","provenanceaction":{"classid":"iis","classname":"iis","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}}}],"title":[],"relevantdate":[],"description":[],"dateofacceptance":{"value":"","dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},"publisher":{"value":"","dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},"embargoenddate":{"value":"","dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},"source":[],"fulltext":[],"format":[],"contributor":[],"resourcetype":{"classid":"","classname":"","schemeid":"","schemename":""},"coverage":[],"bestaccessright":{"classid":"UNKNOWN","classname":"not available","schemeid":"dnet:access_modes","schemename":"dnet:access_modes"},"context":[],"externalReference":null,"instance":[]}
{"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}},"lastupdatetimestamp":1572018240982,"id":"50|CSC_________::0001d663c95c4132355e1765375a5275","originalId":[],"collectedfrom":[],"pid":[],"dateofcollection":"","dateoftransformation":"","extraInfo":[],"oaiprovenance":null,"author":[],"resulttype":{"classid":"","classname":"","schemeid":"","schemename":""},"language":{"classid":"","classname":"","schemeid":"","schemename":""},"country":[],"subject":[{"value":"animal diseases","qualifier":{"classid":"mesheuropmc","classname":"mesheuropmc","schemeid":"dnet:subject_classification_typologies","schemename":"dnet:subject_classification_typologies"},"dataInfo":{"invisible":false,"inferred":true,"deletedbyinference":false,"trust":"0.7461","inferenceprovenance":"iis::document_classes","provenanceaction":{"classid":"iis","classname":"iis","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}}}],"title":[],"relevantdate":[],"description":[],"dateofacceptance":{"value":"","dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},"publisher":{"value":"","dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},"embargoenddate":{"value":"","dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},"source":[],"fulltext":[],"format":[],"contributor":[],"resourcetype":{"classid":"","classname":"","schemeid":"","schemename":""},"coverage":[],"bestaccessright":{"classid":"UNKNOWN","classname":"not available","schemeid":"dnet:access_modes","schemename":"dnet:access_modes"},"context":[],"externalReference":null,"instance":[]}
{"collectedfrom":null,"dataInfo":null,"lastupdatetimestamp":null,"id":"50|4ScienceCRIS::6a67ed3daba1c380bf9de3c13ed9c879","originalId":null,"pid":null,"dateofcollection":null,"dateoftransformation":null,"extraInfo":null,"oaiprovenance":null,"processingchargeamount":null,"processingchargecurrency":null,"measures":[{"id":"influence","unit":[{"key":"score","value":"1.64385446761e-08","dataInfo":{"invisible":false,"inferred":true,"deletedbyinference":false,"trust":"","inferenceprovenance":"update","provenanceaction":{"classid":"measure:bip","classname":"Inferred by OpenAIRE","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}}}]},{"id":"popularity_alt","unit":[{"key":"score","value":"18.9590813696","dataInfo":{"invisible":false,"inferred":true,"deletedbyinference":false,"trust":"","inferenceprovenance":"update","provenanceaction":{"classid":"measure:bip","classname":"Inferred by OpenAIRE","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}}}]},{"id":"popularity","unit":[{"key":"score","value":"6.00577981643e-08","dataInfo":{"invisible":false,"inferred":true,"deletedbyinference":false,"trust":"","inferenceprovenance":"update","provenanceaction":{"classid":"measure:bip","classname":"Inferred by OpenAIRE","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}}}]}],"author":null,"resulttype":null,"language":null,"country":null,"subject":null,"title":null,"relevantdate":null,"description":null,"dateofacceptance":null,"publisher":null,"embargoenddate":null,"source":null,"fulltext":null,"format":null,"contributor":null,"resourcetype":null,"coverage":null,"bestaccessright":null,"context":null,"externalReference":null,"instance":null}

24
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/sx/bio/pubmed/PMArticle.java
View File

@ -17,6 +17,9 @@ public class PMArticle implements Serializable {
* the Pubmed Identifier
*/
private String pmid;
private String pmcId;
/**
* the DOI
*/
@ -122,7 +125,7 @@ public class PMArticle implements Serializable {
/**
* The full journal title (taken from NLM cataloging data following NLM rules for how to compile a serial name) is exported in this element.
* Some characters that are not part of the NLM MEDLINE/PubMed Character Set reside in a relatively small number of full journal titles.
* Some characters that are not part of the NLM MEDLINE/PubMed Character Set reside in a relatively small number of full journal titles.
* The NLM journal title abbreviation is exported in the <MedlineTA> element.
*
* @return the pubmed Journal Extracted
@ -140,10 +143,11 @@ public class PMArticle implements Serializable {
}
/**
* English-language abstracts are taken directly from the published article.
* If the article does not have a published abstract, the National Library of Medicine does not create one,
* thus the record lacks the <Abstract> and <AbstractText> elements. However, in the absence of a formally
* labeled abstract in the published article, text from a substantive "summary", "summary and conclusions" or "conclusions and summary" may be used.
* <ArticleTitle> contains the entire title of the journal article. <ArticleTitle> is always in English;
* those titles originally published in a non-English language and translated for <ArticleTitle> are enclosed in square brackets.
* All titles end with a period unless another punctuation mark such as a question mark or bracket is present.
* Explanatory information about the title itself is enclosed in parentheses, e.g.: (author's transl).
* Corporate/collective authors may appear at the end of <ArticleTitle> for citations up to about the year 2000.
*
* @return the extracted pubmed Title
*/
@ -250,4 +254,14 @@ public class PMArticle implements Serializable {
public List<PMGrant> getGrants() {
return grants;
}
public String getPmcId() {
return pmcId;
}
public PMArticle setPmcId(String pmcId) {
this.pmcId = pmcId;
return this;
}
}

1
dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/pubmed/PMParser.scala
View File

@ -98,6 +98,7 @@ class PMParser(xml: XMLEventReader) extends Iterator[PMArticle] {
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)

48
dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/pubmed/PubMedToOaf.scala
View File

@ -4,9 +4,12 @@ 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 collection.JavaConverters._
import eu.dnetlib.dhp.utils.DHPUtils
import org.apache.commons.lang3.StringUtils
import collection.JavaConverters._
import java.util.regex.Pattern
import scala.collection.mutable.ListBuffer
/**
*/
@ -14,6 +17,9 @@ object PubMedToOaf {
val SUBJ_CLASS = "keywords"
val OAI_HEADER = "oai:pubmedcentral.nih.gov:"
val OLD_PMC_PREFIX = "od_______267::"
val urlMap = Map(
"pmid" -> "https://pubmed.ncbi.nlm.nih.gov/",
"doi" -> "https://dx.doi.org/"
@ -50,6 +56,17 @@ object PubMedToOaf {
null
}
def createOriginalOpenaireId(article:PMArticle) :String = {
if (StringUtils.isNotEmpty(article.getPmcId)) {
val md5 = DHPUtils.md5(s"$OAI_HEADER${article.getPmcId.replace("PMC","")}")
s"$OLD_PMC_PREFIX$md5"
}
else
null
}
/** Create an instance of class extends Result
* starting from OAF instanceType value
*
@ -122,8 +139,9 @@ object PubMedToOaf {
return null
// MAP PMID into pid with classid = classname = pmid
val pidList: List[StructuredProperty] = List(
OafMapperUtils.structuredProperty(
val pidList = ListBuffer[StructuredProperty]()
pidList += OafMapperUtils.structuredProperty(
article.getPmid,
PidType.pmid.toString,
PidType.pmid.toString,
@ -131,7 +149,19 @@ object PubMedToOaf {
ModelConstants.DNET_PID_TYPES,
dataInfo
)
)
if (StringUtils.isNotBlank(article.getPmcId))
{
pidList += OafMapperUtils.structuredProperty(
article.getPmcId,
PidType.pmc.toString,
PidType.pmc.toString,
ModelConstants.DNET_PID_TYPES,
ModelConstants.DNET_PID_TYPES,
dataInfo
)
}
if (pidList == null)
return null
@ -186,6 +216,7 @@ object PubMedToOaf {
val urlLists: List[String] = pidList
.map(s => (urlMap.getOrElse(s.getQualifier.getClassid, ""), s.getValue))
.filter(t => t._1.nonEmpty)
.toList
.map(t => t._1 + t._2)
if (urlLists != null)
pubmedInstance.setUrl(urlLists.asJava)
@ -262,7 +293,14 @@ object PubMedToOaf {
if (authors != null && authors.nonEmpty)
result.setAuthor(authors.asJava)
result.setOriginalId(pidList.map(s => s.getValue).asJava)
if (StringUtils.isNotEmpty(article.getPmcId)) {
val originalIDS = ListBuffer[String]()
originalIDS += createOriginalOpenaireId(article)
pidList.map(s => s.getValue).foreach(p =>originalIDS += p)
result.setOriginalId(originalIDS.asJava)
} else
result.setOriginalId(pidList.map(s => s.getValue).asJava)
result.setId(article.getPmid)

22
dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/ror/GenerateRorActionSetJobTest.java
View File

@ -2,6 +2,7 @@
package eu.dnetlib.dhp.actionmanager.ror;
import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertNotNull;
import java.io.FileInputStream;
import java.util.List;
@ -38,25 +39,20 @@ class GenerateRorActionSetJobTest {
.readValue(IOUtils.toString(getClass().getResourceAsStream("ror_org.json")), RorOrganization.class);
final List<AtomicAction<? extends Oaf>> aas = GenerateRorActionSetJob.convertRorOrg(r);
Assertions.assertEquals(3, aas.size());
Assertions.assertEquals(1, aas.size());
assertEquals(Organization.class, aas.get(0).getClazz());
assertEquals(Relation.class, aas.get(1).getClazz());
assertEquals(Relation.class, aas.get(2).getClazz());
final Organization o = (Organization) aas.get(0).getPayload();
final Relation r1 = (Relation) aas.get(1).getPayload();
final Relation r2 = (Relation) aas.get(2).getPayload();
assertEquals(o.getId(), r1.getSource());
assertEquals(r1.getSource(), r2.getTarget());
assertEquals(r2.getSource(), r1.getTarget());
assertEquals(ModelConstants.IS_PARENT_OF, r1.getRelClass());
assertEquals(ModelConstants.IS_CHILD_OF, r2.getRelClass());
assertNotNull(o);
assertNotNull(o.getCountry());
assertEquals("AU", o.getCountry().getClassid());
assertNotNull(o.getLegalname());
assertEquals("Mount Stromlo Observatory", o.getLegalname().getValue());
System.out.println(mapper.writeValueAsString(o));
System.out.println(mapper.writeValueAsString(r1));
System.out.println(mapper.writeValueAsString(r2));
}
@Test

47
dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/transformation/TransformationJobTest.java
View File

@ -19,7 +19,9 @@ import org.apache.spark.sql.Encoder;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.apache.spark.util.LongAccumulator;
import org.junit.jupiter.api.*;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.DisplayName;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.extension.ExtendWith;
import org.junit.jupiter.api.io.TempDir;
import org.mockito.junit.jupiter.MockitoExtension;
@ -50,7 +52,7 @@ class TransformationJobTest extends AbstractVocabularyTest {
@Test
@DisplayName("Test Date cleaner")
void testDateCleaner() throws Exception {
DateCleaner dc = new DateCleaner();
final DateCleaner dc = new DateCleaner();
assertEquals("1982-09-20", dc.clean("20/09/1982"));
assertEquals("2002-09-20", dc.clean("20-09-2002"));
assertEquals("2002-09-20", dc.clean("2002-09-20"));
@ -68,9 +70,9 @@ class TransformationJobTest extends AbstractVocabularyTest {
mr.setProvenance(new Provenance("DSID", "DSNAME", "PREFIX"));
mr.setBody(IOUtils.toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/transform/input_zenodo.xml")));
// We Load the XSLT transformation Rule from the classpath
XSLTTransformationFunction tr = loadTransformationRule("/eu/dnetlib/dhp/transform/zenodo_tr.xslt");
final XSLTTransformationFunction tr = loadTransformationRule("/eu/dnetlib/dhp/transform/zenodo_tr.xslt");
MetadataRecord result = tr.call(mr);
final MetadataRecord result = tr.call(mr);
// Print the record
System.out.println(result.getBody());
@ -86,9 +88,9 @@ class TransformationJobTest extends AbstractVocabularyTest {
mr.setProvenance(new Provenance("DSID", "DSNAME", "PREFIX"));
mr.setBody(IOUtils.toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/transform/input_itgv4.xml")));
// We Load the XSLT transformation Rule from the classpath
XSLTTransformationFunction tr = loadTransformationRule("/eu/dnetlib/dhp/transform/zenodo_tr.xslt");
final XSLTTransformationFunction tr = loadTransformationRule("/eu/dnetlib/dhp/transform/zenodo_tr.xslt");
MetadataRecord result = tr.call(mr);
final MetadataRecord result = tr.call(mr);
// Print the record
System.out.println(result.getBody());
@ -108,9 +110,9 @@ class TransformationJobTest extends AbstractVocabularyTest {
mr.setProvenance(new Provenance("DSID", "DSNAME", "PREFIX"));
mr.setBody(IOUtils.toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/transform/input_itgv4.xml")));
// We Load the XSLT transformation Rule from the classpath
XSLTTransformationFunction tr = loadTransformationRule(xslTransformationScript);
final XSLTTransformationFunction tr = loadTransformationRule(xslTransformationScript);
MetadataRecord result = tr.call(mr);
final MetadataRecord result = tr.call(mr);
// Print the record
System.out.println(result.getBody());
@ -129,9 +131,9 @@ class TransformationJobTest extends AbstractVocabularyTest {
mr.setProvenance(new Provenance("DSID", "DSNAME", "PREFIX"));
mr.setBody(IOUtils.toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/transform/input_omicsdi.xml")));
// We Load the XSLT transformation Rule from the classpath
XSLTTransformationFunction tr = loadTransformationRule(xslTransformationScript);
final XSLTTransformationFunction tr = loadTransformationRule(xslTransformationScript);
MetadataRecord result = tr.call(mr);
final MetadataRecord result = tr.call(mr);
// Print the record
System.out.println(result.getBody());
@ -140,7 +142,8 @@ class TransformationJobTest extends AbstractVocabularyTest {
@Test
@DisplayName("Test TransformSparkJobNode.main with oaiOpenaire_datacite (v4)")
void transformTestITGv4OAIdatacite(@TempDir Path testDir) throws Exception {
void transformTestITGv4OAIdatacite(@TempDir
final Path testDir) throws Exception {
try (SparkSession spark = SparkSession.builder().config(sparkConf).getOrCreate()) {
@ -203,7 +206,8 @@ class TransformationJobTest extends AbstractVocabularyTest {
@Test
@DisplayName("Test TransformSparkJobNode.main")
void transformTest(@TempDir Path testDir) throws Exception {
void transformTest(@TempDir
final Path testDir) throws Exception {
try (SparkSession spark = SparkSession.builder().config(sparkConf).getOrCreate()) {
@ -256,6 +260,25 @@ class TransformationJobTest extends AbstractVocabularyTest {
}
}
@Test
@DisplayName("Test Transform Single XML using cnr_explora_tr XSLTTransformator")
void testCnrExploraTransformSaxonHE() throws Exception {
// We Set the input Record getting the XML from the classpath
final MetadataRecord mr = new MetadataRecord();
mr.setProvenance(new Provenance("openaire____::cnr_explora", "CNR ExploRA", "cnr_________"));
mr.setBody(IOUtils.toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/transform/input_cnr_explora.xml")));
// We Load the XSLT transformation Rule from the classpath
final XSLTTransformationFunction tr = loadTransformationRule("/eu/dnetlib/dhp/transform/cnr_explora_tr.xslt");
final MetadataRecord result = tr.call(mr);
// Print the record
System.out.println(result.getBody());
// TODO Create significant Assert
}
private XSLTTransformationFunction loadTransformationRule(final String path) throws Exception {
final String trValue = IOUtils.toString(this.getClass().getResourceAsStream(path));
final LongAccumulator la = new LongAccumulator();

257
dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml
View File

@ -195,7 +195,9 @@
<Title>Biochemical and biophysical research communications</Title>
<ISOAbbreviation>Biochem Biophys Res Commun</ISOAbbreviation>
</Journal>
<ArticleTitle>Delineation of the intimate details of the backbone conformation of pyridine nucleotide coenzymes in aqueous solution.</ArticleTitle>
<ArticleTitle>Delineation of the intimate details of the backbone conformation of pyridine nucleotide
coenzymes in aqueous solution.
</ArticleTitle>
<Pagination>
<MedlinePgn>1173-9</MedlinePgn>
</Pagination>
@ -473,7 +475,9 @@
<Title>Biochemical and biophysical research communications</Title>
<ISOAbbreviation>Biochem Biophys Res Commun</ISOAbbreviation>
</Journal>
<ArticleTitle>Effect of chloroquine on cultured fibroblasts: release of lysosomal hydrolases and inhibition of their uptake.</ArticleTitle>
<ArticleTitle>Effect of chloroquine on cultured fibroblasts: release of lysosomal hydrolases and
inhibition of their uptake.
</ArticleTitle>
<Pagination>
<MedlinePgn>1338-43</MedlinePgn>
</Pagination>
@ -657,7 +661,8 @@
<Title>Biochemical and biophysical research communications</Title>
<ISOAbbreviation>Biochem Biophys Res Commun</ISOAbbreviation>
</Journal>
<ArticleTitle>Atomic models for the polypeptide backbones of myohemerythrin and hemerythrin.</ArticleTitle>
<ArticleTitle>Atomic models for the polypeptide backbones of myohemerythrin and hemerythrin.
</ArticleTitle>
<Pagination>
<MedlinePgn>1349-56</MedlinePgn>
</Pagination>
@ -1627,7 +1632,9 @@
<Title>Biochemical pharmacology</Title>
<ISOAbbreviation>Biochem Pharmacol</ISOAbbreviation>
</Journal>
<ArticleTitle>Comparison between procaine and isocarboxazid metabolism in vitro by a liver microsomal amidase-esterase.</ArticleTitle>
<ArticleTitle>Comparison between procaine and isocarboxazid metabolism in vitro by a liver microsomal
amidase-esterase.
</ArticleTitle>
<Pagination>
<MedlinePgn>1517-21</MedlinePgn>
</Pagination>
@ -2030,7 +2037,9 @@
<Title>Biochemical pharmacology</Title>
<ISOAbbreviation>Biochem Pharmacol</ISOAbbreviation>
</Journal>
<ArticleTitle>Radiochemical assay of glutathione S-epoxide transferase and its enhancement by phenobarbital in rat liver in vivo.</ArticleTitle>
<ArticleTitle>Radiochemical assay of glutathione S-epoxide transferase and its enhancement by
phenobarbital in rat liver in vivo.
</ArticleTitle>
<Pagination>
<MedlinePgn>1569-72</MedlinePgn>
</Pagination>
@ -2350,7 +2359,9 @@
<Title>Biochemical pharmacology</Title>
<ISOAbbreviation>Biochem Pharmacol</ISOAbbreviation>
</Journal>
<ArticleTitle>Identification of adenylate cyclase-coupled beta-adrenergic receptors with radiolabeled beta-adrenergic antagonists.</ArticleTitle>
<ArticleTitle>Identification of adenylate cyclase-coupled beta-adrenergic receptors with radiolabeled
beta-adrenergic antagonists.
</ArticleTitle>
<Pagination>
<MedlinePgn>1651-8</MedlinePgn>
</Pagination>
@ -2598,7 +2609,9 @@
<Title>Biochemical pharmacology</Title>
<ISOAbbreviation>Biochem Pharmacol</ISOAbbreviation>
</Journal>
<ArticleTitle>The effect of adrenaline and of alpha- and beta-adrenergic blocking agents on ATP concentration and on incorporation of 32Pi into ATP in rat fat cells.</ArticleTitle>
<ArticleTitle>The effect of adrenaline and of alpha- and beta-adrenergic blocking agents on ATP
concentration and on incorporation of 32Pi into ATP in rat fat cells.
</ArticleTitle>
<Pagination>
<MedlinePgn>1659-62</MedlinePgn>
</Pagination>
@ -2851,7 +2864,9 @@
<Title>Biochemical pharmacology</Title>
<ISOAbbreviation>Biochem Pharmacol</ISOAbbreviation>
</Journal>
<ArticleTitle>Action of propranolol on mitochondrial functions--effects on energized ion fluxes in the presence of valinomycin.</ArticleTitle>
<ArticleTitle>Action of propranolol on mitochondrial functions--effects on energized ion fluxes in the
presence of valinomycin.
</ArticleTitle>
<Pagination>
<MedlinePgn>1701-5</MedlinePgn>
</Pagination>
@ -3265,7 +3280,8 @@
</Chemical>
<Chemical>
<RegistryNumber>EC 2.6.1.16</RegistryNumber>
<NameOfSubstance UI="D005945">Glutamine-Fructose-6-Phosphate Transaminase (Isomerizing)</NameOfSubstance>
<NameOfSubstance UI="D005945">Glutamine-Fructose-6-Phosphate Transaminase (Isomerizing)
</NameOfSubstance>
</Chemical>
<Chemical>
<RegistryNumber>EC 2.7.-</RegistryNumber>
@ -3324,7 +3340,9 @@
<DescriptorName UI="D005944" MajorTopicYN="N">Glucosamine</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005945" MajorTopicYN="N">Glutamine-Fructose-6-Phosphate Transaminase (Isomerizing)</DescriptorName>
<DescriptorName UI="D005945" MajorTopicYN="N">Glutamine-Fructose-6-Phosphate Transaminase
(Isomerizing)
</DescriptorName>
<QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName>
</MeshHeading>
<MeshHeading>
@ -3463,7 +3481,8 @@
<Title>Biochemical pharmacology</Title>
<ISOAbbreviation>Biochem Pharmacol</ISOAbbreviation>
</Journal>
<ArticleTitle>Inhibition of aldehyde reductase by acidic metabolites of the biogenic amines.</ArticleTitle>
<ArticleTitle>Inhibition of aldehyde reductase by acidic metabolites of the biogenic amines.
</ArticleTitle>
<Pagination>
<MedlinePgn>1731-3</MedlinePgn>
</Pagination>
@ -3696,7 +3715,9 @@
<Title>Biochemical pharmacology</Title>
<ISOAbbreviation>Biochem Pharmacol</ISOAbbreviation>
</Journal>
<ArticleTitle>Effects of 5,6-dihydroxytryptamine on tyrosine-hydroxylase activity in central catecholaminergic neurons of the rat.</ArticleTitle>
<ArticleTitle>Effects of 5,6-dihydroxytryptamine on tyrosine-hydroxylase activity in central
catecholaminergic neurons of the rat.
</ArticleTitle>
<Pagination>
<MedlinePgn>1739-42</MedlinePgn>
</Pagination>
@ -4602,12 +4623,19 @@
<Title>Arzneimittel-Forschung</Title>
<ISOAbbreviation>Arzneimittelforschung</ISOAbbreviation>
</Journal>
<ArticleTitle>[Biochemical studies on camomile components/III. In vitro studies about the antipeptic activity of (--)-alpha-bisabolol (author's transl)].</ArticleTitle>
<ArticleTitle>[Biochemical studies on camomile components/III. In vitro studies about the antipeptic
activity of (--)-alpha-bisabolol (author's transl)].
</ArticleTitle>
<Pagination>
<MedlinePgn>1352-4</MedlinePgn>
</Pagination>
<Abstract>
<AbstractText>(--)-alpha-Bisabolol has a primary antipeptic action depending on dosage, which is not caused by an alteration of the pH-value. The proteolytic activity of pepsin is reduced by 50 percent through addition of bisabolol in the ratio of 1/0.5. The antipeptic action of bisabolol only occurs in case of direct contact. In case of a previous contact with the substrate, the inhibiting effect is lost.</AbstractText>
<AbstractText>(--)-alpha-Bisabolol has a primary antipeptic action depending on dosage, which is not
caused by an alteration of the pH-value. The proteolytic activity of pepsin is reduced by 50
percent through addition of bisabolol in the ratio of 1/0.5. The antipeptic action of bisabolol
only occurs in case of direct contact. In case of a previous contact with the substrate, the
inhibiting effect is lost.
</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
@ -4626,7 +4654,9 @@
<PublicationType UI="D004740">English Abstract</PublicationType>
<PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<VernacularTitle>Biochemische Untersuchungen von Kamilleninhaltsstoffen. III. In-vitro-Versuche über die antipeptische Wirkung des (-)-alpha-Bisabolols</VernacularTitle>
<VernacularTitle>Biochemische Untersuchungen von Kamilleninhaltsstoffen. III. In-vitro-Versuche über die
antipeptische Wirkung des (-)-alpha-Bisabolols
</VernacularTitle>
</Article>
<MedlineJournalInfo>
<Country>Germany</Country>
@ -4753,12 +4783,37 @@
<Title>Arzneimittel-Forschung</Title>
<ISOAbbreviation>Arzneimittelforschung</ISOAbbreviation>
</Journal>
<ArticleTitle>[Demonstration of tumor inhibiting properties of a strongly immunostimulating low-molecular weight substance. Comparative studies with ifosfamide on the immuno-labile DS carcinosarcoma. Stimulation of the autoimmune activity for approx. 20 days by BA 1, a N-(2-cyanoethylene)-urea. Novel prophylactic possibilities].</ArticleTitle>
<ArticleTitle>[Demonstration of tumor inhibiting properties of a strongly immunostimulating
low-molecular weight substance. Comparative studies with ifosfamide on the immuno-labile DS
carcinosarcoma. Stimulation of the autoimmune activity for approx. 20 days by BA 1, a
N-(2-cyanoethylene)-urea. Novel prophylactic possibilities].
</ArticleTitle>
<Pagination>
<MedlinePgn>1369-79</MedlinePgn>
</Pagination>
<Abstract>
<AbstractText>A report is given on the recent discovery of outstanding immunological properties in BA 1 [N-(2-cyanoethylene)-urea] having a (low) molecular mass M = 111.104. Experiments in 214 DS carcinosarcoma bearing Wistar rats have shown that BA 1, at a dosage of only about 12 percent LD50 (150 mg kg) and negligible lethality (1.7 percent), results in a recovery rate of 40 percent without hyperglycemia and, in one test, of 80 percent with hyperglycemia. Under otherwise unchanged conditions the reference substance ifosfamide (IF) -- a further development of cyclophosphamide -- applied without hyperglycemia in its most efficient dosage of 47 percent LD50 (150 mg kg) brought about a recovery rate of 25 percent at a lethality of 18 percent. (Contrary to BA 1, 250-min hyperglycemia caused no further improvement of the recovery rate.) However this comparison is characterized by the fact that both substances exhibit two quite different (complementary) mechanisms of action. Leucocyte counts made after application of the said cancerostatics and dosages have shown a pronounced stimulation with BA 1 and with ifosfamide, the known suppression in the post-therapeutic interval usually found with standard cancerostatics. In combination with the cited plaque test for BA 1, blood pictures then allow conclusions on the immunity status. Since IF can be taken as one of the most efficient cancerostatics--there is no other chemotherapeutic known up to now that has a more significant effect on the DS carcinosarcoma in rats -- these findings are of special importance. Finally, the total amount of leucocytes and lymphocytes as well as their time behaviour was determined from the blood picture of tumour-free rats after i.v. application of BA 1. The thus obtained numerical values clearly show that further research work on the prophylactic use of this substance seems to be necessary and very promising.</AbstractText>
<AbstractText>A report is given on the recent discovery of outstanding immunological properties in
BA 1 [N-(2-cyanoethylene)-urea] having a (low) molecular mass M = 111.104. Experiments in 214 DS
carcinosarcoma bearing Wistar rats have shown that BA 1, at a dosage of only about 12 percent
LD50 (150 mg kg) and negligible lethality (1.7 percent), results in a recovery rate of 40
percent without hyperglycemia and, in one test, of 80 percent with hyperglycemia. Under
otherwise unchanged conditions the reference substance ifosfamide (IF) -- a further development
of cyclophosphamide -- applied without hyperglycemia in its most efficient dosage of 47 percent
LD50 (150 mg kg) brought about a recovery rate of 25 percent at a lethality of 18 percent.
(Contrary to BA 1, 250-min hyperglycemia caused no further improvement of the recovery rate.)
However this comparison is characterized by the fact that both substances exhibit two quite
different (complementary) mechanisms of action. Leucocyte counts made after application of the
said cancerostatics and dosages have shown a pronounced stimulation with BA 1 and with
ifosfamide, the known suppression in the post-therapeutic interval usually found with standard
cancerostatics. In combination with the cited plaque test for BA 1, blood pictures then allow
conclusions on the immunity status. Since IF can be taken as one of the most efficient
cancerostatics--there is no other chemotherapeutic known up to now that has a more significant
effect on the DS carcinosarcoma in rats -- these findings are of special importance. Finally,
the total amount of leucocytes and lymphocytes as well as their time behaviour was determined
from the blood picture of tumour-free rats after i.v. application of BA 1. The thus obtained
numerical values clearly show that further research work on the prophylactic use of this
substance seems to be necessary and very promising.
</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
@ -4778,7 +4833,11 @@
<PublicationType UI="D004740">English Abstract</PublicationType>
<PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<VernacularTitle>Nachweis krebshemmender Eigenschaften einer stark immunstimulierenden Verbindung kleiner Molekülmasse. Versuche am immunlabilen DS-Karzinosarkom im Vergleich mit Ifosfamid. Stimulierung der körpereigenen Abwehr über etwa 20 Tage durch BA 1, einen N-(2-Cyanthylen)-harnstoff. Neue prophylaktische Möglichkeiten</VernacularTitle>
<VernacularTitle>Nachweis krebshemmender Eigenschaften einer stark immunstimulierenden Verbindung
kleiner Molekülmasse. Versuche am immunlabilen DS-Karzinosarkom im Vergleich mit Ifosfamid.
Stimulierung der körpereigenen Abwehr über etwa 20 Tage durch BA 1, einen
N-(2-Cyanthylen)-harnstoff. Neue prophylaktische Möglichkeiten
</VernacularTitle>
</Article>
<MedlineJournalInfo>
<Country>Germany</Country>
@ -5016,7 +5075,20 @@
<MedlinePgn>1400-3</MedlinePgn>
</Pagination>
<Abstract>
<AbstractText>The distribution of blood flow to the subendocardial, medium and subepicardial layers of the left ventricular free wall was studied in anaesthetized dogs under normoxic (A), hypoxic (B) conditions and under pharmacologically induced (etafenone) coronary vasodilation (C). Regional myocardial blood flow was determined by means of the particle distribution method. In normoxia a transmural gradient of flow was observed, with the subendocardial layers receiving a significantly higher flow rate compared with the subepicardial layers. In hypoxia induced vasodilation this transmural gradient of flow was persistent. In contrast a marked redistribution of regional flow was observed under pharmacologically induced vasodilation. The transmural gradient decreased. In contrast to some findings these experiments demonstrate that a considerable vasodilatory capacity exists in all layers of the myocardium and can be utilized by drugs. The differences observed for the intramural distribution pattern of flow under hypoxia and drug induced vasodilation support the hypothesis that this pattern reflects corresponding gradients of regional myocardial metabolism.</AbstractText>
<AbstractText>The distribution of blood flow to the subendocardial, medium and subepicardial layers
of the left ventricular free wall was studied in anaesthetized dogs under normoxic (A), hypoxic
(B) conditions and under pharmacologically induced (etafenone) coronary vasodilation (C).
Regional myocardial blood flow was determined by means of the particle distribution method. In
normoxia a transmural gradient of flow was observed, with the subendocardial layers receiving a
significantly higher flow rate compared with the subepicardial layers. In hypoxia induced
vasodilation this transmural gradient of flow was persistent. In contrast a marked
redistribution of regional flow was observed under pharmacologically induced vasodilation. The
transmural gradient decreased. In contrast to some findings these experiments demonstrate that a
considerable vasodilatory capacity exists in all layers of the myocardium and can be utilized by
drugs. The differences observed for the intramural distribution pattern of flow under hypoxia
and drug induced vasodilation support the hypothesis that this pattern reflects corresponding
gradients of regional myocardial metabolism.
</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
@ -5185,4 +5257,151 @@
</ReferenceList>
</PubmedData>
</PubmedArticle>
<PubmedArticle>
<MedlineCitation Status="MEDLINE" Owner="NLM">
<PMID Version="1">4917185</PMID>
<DateCompleted>
<Year>1970</Year>
<Month>10</Month>
<Day>27</Day>
</DateCompleted>
<DateRevised>
<Year>2018</Year>
<Month>11</Month>
<Day>13</Day>
</DateRevised>
<Article PubModel="Print">
<Journal>
<ISSN IssnType="Print">0003-6919</ISSN>
<JournalIssue CitedMedium="Print">
<Volume>19</Volume>
<Issue>6</Issue>
<PubDate>
<Year>1970</Year>
<Month>Jun</Month>
</PubDate>
</JournalIssue>
<Title>Applied microbiology</Title>
<ISOAbbreviation>Appl Microbiol</ISOAbbreviation>
</Journal>
<ArticleTitle>Bactericidal activity of a broad-spectrum illumination source.</ArticleTitle>
<Pagination>
<MedlinePgn>1013-4</MedlinePgn>
</Pagination>
<Abstract>
<AbstractText>Several hours of exposure to Vita-Lite lamps, which have a unique spectral
distribution, give significant killing of cells of Staphylococcus aureus.
</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Himmelfarb</LastName>
<ForeName>P</ForeName>
<Initials>P</Initials>
</Author>
<Author ValidYN="Y">
<LastName>Scott</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
</Author>
<Author ValidYN="Y">
<LastName>Thayer</LastName>
<ForeName>P S</ForeName>
<Initials>PS</Initials>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList>
<PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
</Article>
<MedlineJournalInfo>
<Country>United States</Country>
<MedlineTA>Appl Microbiol</MedlineTA>
<NlmUniqueID>7605802</NlmUniqueID>
<ISSNLinking>0003-6919</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList>
<MeshHeading>
<DescriptorName UI="D001431" MajorTopicYN="N">Bacteriological Techniques</DescriptorName>
<QualifierName UI="Q000295" MajorTopicYN="Y">instrumentation</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008027" MajorTopicYN="Y">Light</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D011830" MajorTopicYN="N">Radiation Effects</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012706" MajorTopicYN="N">Serratia marcescens</DescriptorName>
<QualifierName UI="Q000254" MajorTopicYN="N">growth &amp; development</QualifierName>
<QualifierName UI="Q000528" MajorTopicYN="Y">radiation effects</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D013210" MajorTopicYN="N">Staphylococcus</DescriptorName>
<QualifierName UI="Q000254" MajorTopicYN="N">growth &amp; development</QualifierName>
<QualifierName UI="Q000528" MajorTopicYN="Y">radiation effects</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D013242" MajorTopicYN="N">Sterilization</DescriptorName>
</MeshHeading>
</MeshHeadingList>
</MedlineCitation>
<PubmedData>
<History>
<PubMedPubDate PubStatus="pubmed">
<Year>1970</Year>
<Month>6</Month>
<Day>1</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline">
<Year>1970</Year>
<Month>6</Month>
<Day>1</Day>
<Hour>0</Hour>
<Minute>1</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez">
<Year>1970</Year>
<Month>6</Month>
<Day>1</Day>
<Hour>0</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList>
<ArticleId IdType="pubmed">4917185</ArticleId>
<ArticleId IdType="pmc">PMC376844</ArticleId>
</ArticleIdList>
<ReferenceList>
<Reference>
<Citation>Photochem Photobiol. 1969 Jan;9(1):99-102</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">4889809</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Endocrinology. 1969 Dec;85(6):1218-21</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">5347623</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Arch Mikrobiol. 1956;24(1):60-79</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">13327987</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>J Bacteriol. 1941 Sep;42(3):353-66</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">16560457</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</PubmedArticle>
</PubmedArticleSet>

214
dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/transform/cnr_explora_tr.xslt Normal file
View File

@ -0,0 +1,214 @@
<xsl:stylesheet
xmlns:xsl="http://www.w3.org/1999/XSL/Transform"
xmlns:oaire="http://namespace.openaire.eu/schema/oaire/"
xmlns:vocabulary="http://eu/dnetlib/transform/clean"
xmlns:dateCleaner="http://eu/dnetlib/transform/dateISO"
xmlns:oaf="http://namespace.openaire.eu/oaf"
xmlns:oai="http://www.openarchives.org/OAI/2.0/"
xmlns:datacite="http://datacite.org/schema/kernel-4"
xmlns:dri="http://www.driver-repository.eu/namespace/dri"
xmlns:xs="http://www.w3.org/2001/XMLSchema"
xmlns:dr="http://www.driver-repository.eu/namespace/dr"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:dc="http://purl.org/dc/elements/1.1/"
exclude-result-prefixes="xsl vocabulary dateCleaner" version="2.0">
<xsl:param name="varOfficialName" />
<xsl:param name="varDataSourceId" />
<xsl:param name="varFP7" select="'corda_______::'" />
<xsl:param name="varH2020" select="'corda__h2020::'" />
<xsl:param name="repoCode"
select="substring-before(//*[local-name() = 'header']/*[local-name()='recordIdentifier'], ':')" />
<xsl:param name="index" select="0" />
<xsl:param name="transDate" select="current-dateTime()" />
<xsl:template match="/">
<record>
<xsl:apply-templates select="//*[local-name() = 'header']" />
<metadata>
<xsl:call-template name="allElements">
<xsl:with-param name="sourceElement" select="//dc:title" />
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<dc:language>
<xsl:value-of select="vocabulary:clean( //dc:language, 'dnet:languages')" />
</dc:language>
<xsl:call-template name="allElements">
<xsl:with-param name="sourceElement" select="//dc:rights" />
<xsl:with-param name="targetElement" select="'dc:rights'" />
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<xsl:with-param name="sourceElement" select="//dc:relation[not(starts-with(.,'info:cnr-pdr'))]" />
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<oaf:projectid>
<xsl:value-of select="concat($varFP7, replace(normalize-space(.), '(info:eu-repo/grantagreement/ec/fp7/)(\d\d\d\d\d\d)(.*)', '$2', 'i'))" />
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<xsl:value-of select="vocabulary:clean( //dc:rights, 'dnet:access_modes')" />
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<xsl:variable name="varCobjCategory" select="vocabulary:clean( //dc:type, 'dnet:publication_resource')" />
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<dr:CobjCategory type="{$varSuperType}"><xsl:value-of select="$varCobjCategory" /></dr:CobjCategory>
<xsl:variable name="varRefereedConvt" select="for $i in (//dc:type, //dc:description, //oai:setSpec) return vocabulary:clean( normalize-space($i), 'dnet:review_levels')" />
<xsl:variable name="varRefereedIdntf" select="(//*[string(node-name(.)) = 'dc:identifier' and matches(lower-case(.), '(^|.*[\.\-_/\s\(\)%\d#])pre[\.\-_/\s\(\)%\d#]?prints?([\.\-_/\s\(\)%\d#].*)?$')][count(//dc:identifier) = 1]/'0002', //*[string(node-name(.)) = 'dc:identifier' and matches(lower-case(.), '(^|.*[\.\-_/\s\(\)%\d#])refereed([\.\-_/\s\(\)\d%\d#].*)?$')]/'0001', //*[string(node-name(.)) = 'dc:identifier' and matches(lower-case(.), '.*-peer-reviewed-(fulltext-)?article-.*')]/'0001')" />
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<xsl:variable name="varRefereedDescr" select="(//dc:description[matches(lower-case(.), '.*(this\s*book|this\s*volume|it)\s*constitutes\s*the\s*(thoroughly\s*)?refereed') or matches(lower-case(.), '.*peer[\.\-_/\s\(\)]?review\s*under\s*responsibility\s*of.*') or matches(lower-case(.), '(this|a)\s*(article|preprint)\s*(has\s*been\s*)?(peer[\-\s]*)?reviewed\s*and\s*recommended\s*by\s*peer[\-\s]*community')]/'0001', //dc:description[matches(., '^version\s*(préliminaire.*|preliminary.*|0$)')]/'0002')" />
<xsl:variable name="varRefereedTitle" select="(//dc:title[matches(lower-case(.), '.*\[.*peer[\s\-\._]*review\s*:.*\]\s*$')]/'0001', //dc:title[matches(lower-case(.), '.*\(\s*pre[\s\-\._]*prints?\s*\)\s*$')]/'0002')" />
<xsl:variable name="varRefereedSubjt" select="(//dc:subject[matches(lower-case(.), '^\s*refereed\s*$')][//oaf:datasourceprefix = 'narcis______']/'0001', //dc:subject[matches(lower-case(.), '^\s*no[nt].{0,3}refereed\s*$')][//oaf:datasourceprefix = 'narcis______']/'0002')" />
<xsl:variable name="varRefereed" select="($varRefereedConvt, $varRefereedIdntf, $varRefereedSourc, $varRefereedDescr, $varRefereedTitle, $varRefereedSubjt)" />
<xsl:choose>
<xsl:when test="count($varRefereed[. = '0001']) &gt; 0">
<oaf:refereed>
<xsl:value-of select="'0001'" />
</oaf:refereed>
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<xsl:when test="count($varRefereed[. = '0002']) &gt; 0">
<oaf:refereed>
<xsl:value-of select="'0002'" />
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<oaf:dateAccepted>
<xsl:value-of select="dateCleaner:dateISO( //dc:date[1] )" />
</oaf:dateAccepted>
<xsl:if test="//dc:relation[starts-with(., 'http')] and //dc:rights[.='info:eu-repo/semantics/openAccess']">
<oaf:fulltext>
<xsl:value-of select="//dc:relation[starts-with(., 'http')]" />
</oaf:fulltext>
</xsl:if>
<oaf:hostedBy name="{$varOfficialName}" id="{$varDataSourceId}" />
<oaf:collectedFrom name="{$varOfficialName}" id="{$varDataSourceId}ß" />
<xsl:variable name="varKnownFileEndings" select="('.bmp', '.doc', '.docx', '.epub', '.flv', '.jpeg', '.jpg', '.m4v', '.mp4', '.mpg', '.odp', '.pdf', '.png', '.ppt', '.tiv', '.txt', '.xls', '.xlsx', '.zip')" />
<xsl:variable name="varIdDoi" select="distinct-values((//dc:identifier[starts-with(., '10.')][matches(., '(10[.][0-9]{4,}[^\s/&gt;]*/[^\s&gt;]+)')], //dc:identifier[starts-with(., 'http') and (contains(., '://dx.doi.org/10.') or contains(., '://doi.org/10.'))]/substring-after(., 'doi.org/'), //dc:identifier[starts-with(lower-case(.), 'doi:10.')]/substring-after(lower-case(.), 'doi:')))" />
<xsl:for-each select="$varIdDoi">
<oaf:identifier identifierType="doi">
<xsl:value-of select="." />
</oaf:identifier>
</xsl:for-each>
<xsl:variable name="varIdHdl" select="distinct-values(//dc:identifier[starts-with(., 'http') and contains(., '://hdl.handle.net/')]/substring-after(., 'hdl.handle.net/'))" />
<xsl:for-each select="$varIdHdl" >
<oaf:identifier identifierType="handle">
<xsl:value-of select="." />
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<xsl:variable name="varIdUrn" select="distinct-values(//dc:identifier[starts-with(., 'urn:nbn:nl:') or starts-with(., 'URN:NBN:NL:')])" />
<xsl:for-each select="$varIdUrn">
<oaf:identifier identifierType="urn">
<xsl:value-of select="." />
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<xsl:variable name="varOrigBaseUrl" select="//*[local-name() = 'about']/*[local-name() = 'provenance']//*[local-name() = 'originDescription' and not(./*[local-name() = 'originDescription'])]/*[local-name() = 'baseURL']" />
<xsl:variable name="varIdLdpg" select="distinct-values(//dc:identifier[(contains(substring-after(., '://'), '/') and contains($varOrigBaseUrl, substring-before(substring-after(., '://'), '/'))) or (contains(substring-after(., '://'), ':') and contains($varOrigBaseUrl, substring-before(substring-after(., '://'), ':')))][not(replace(lower-case(.), '.*(\.[a-z]*)$', '$1') = $varKnownFileEndings)])" />
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57
dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/transform/input_cnr_explora.xml Normal file
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@ -0,0 +1,57 @@
<?xml version="1.0" encoding="UTF-8"?>
<record xmlns="http://www.openarchives.org/OAI/2.0/">
<header>
<identifier><![CDATA[oai:it.cnr:prodotti:433382]]></identifier>
<datestamp><![CDATA[2020-11-30T15:32:03Z]]></datestamp>
<setSpec><![CDATA[openaire]]></setSpec>
<setSpec><![CDATA[CDS027]]></setSpec>
<setSpec><![CDATA[CDS080]]></setSpec>
</header>
<metadata>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dc:type><![CDATA[info:eu-repo/semantics/conferenceObject]]></dc:type>
<dc:type><![CDATA[Presentazione]]></dc:type>
<dc:title><![CDATA[A multiscale observing approach for understanding acidification process in a marginal sea (northern Adriatic)]]></dc:title>
<dc:creator><![CDATA[Cantoni C.]]></dc:creator>
<dc:creator><![CDATA[Barba L.]]></dc:creator>
<dc:creator><![CDATA[Bastianini M.]]></dc:creator>
<dc:creator><![CDATA[Bortoluzzi G.]]></dc:creator>
<dc:creator><![CDATA[Celio M.]]></dc:creator>
<dc:creator><![CDATA[Chiggiato J.]]></dc:creator>
<dc:creator><![CDATA[Cozzi S.]]></dc:creator>
<dc:creator><![CDATA[Luchetta A.]]></dc:creator>
<dc:creator><![CDATA[Ravaioli M.]]></dc:creator>
<dc:creator><![CDATA[Sparnocchia S.]]></dc:creator>
<dc:language><![CDATA[eng]]></dc:language>
<dc:description><![CDATA[The Northern Adriatic is a shallow, semi-enclosed industrialized sub-basin of the Mediterranean affected by significant ecosystem
changes, which are studied through several research activities including the long-term monitoring of ILTER international network.
Changes of pHT (-0.06) and TA (+74 ?mol/kg) in dense winter waters over the last 25 years already showed that this area is prone to
acidification process under a complex inorganic carbon chemistry variability. To understand these changes, monthly sampling of the
main biogeochemical and biological parameters has been carrying out since 2008 by a fixed station (PALOMA, Gulf of Trieste). In 2013
the site has been implemented with continuous pCO2 measurements at 3 m depth and has been regularly visiting during basin wide
surveys for the last two years. The combination of automated in situ measurements, monthly samplings and basin scale
oceanographic cruises is used to better understand the processes controlling air-sea CO2 fluxes and inorganic carbon chemistry under
three different scenarios: an extreme event of dense water formation, the phytoplankton blooms associated with riverine inputs and
the late-summer marked oxygen under saturation in the deeper waters.]]></dc:description>
<dc:source><![CDATA[ASLO - Aquatic Sciences Meeting, Granada, Spagna, 22-27/02/2015]]></dc:source>
<dc:source><![CDATA[info:cnr-pdr/source/autori:Cantoni C., Barba L., Bastianini M., Bortoluzzi G., Celio M., Chiggiato J., Cozzi S., Luchetta A., Ravaioli M., Sparnocchia S./congresso_nome:ASLO - Aquatic Sciences Meeting/congresso_luogo:Granada, Spagna/congresso_data:22-27%2F02%2F2015/anno:2015/pagina_da:/pagina_a:/intervallo_pagine:]]></dc:source>
<dc:date><![CDATA[2015]]></dc:date>
<dc:identifier><![CDATA[http://www.cnr.it/prodotto/i/433382]]></dc:identifier>
<dc:identifier><![CDATA[https://publications.cnr.it/doc/433382]]></dc:identifier>
<dc:identifier><![CDATA[http://sgmeet.com/aslo/granada2015/]]></dc:identifier>
<dc:relation><![CDATA[info:eu-repo/grantAgreement/EC/FP7/211574//Integrated Carbon Observation System/ICOS]]></dc:relation>
<dc:relation><![CDATA[info:cnr-pdr/author/matricola:502/SPARNOCCHIA/STEFANIA]]></dc:relation>
<dc:relation><![CDATA[info:cnr-pdr/author/matricola:990/BASTIANINI/MAURO]]></dc:relation>
<dc:relation><![CDATA[info:cnr-pdr/author/matricola:5185/BARBA/LUISA]]></dc:relation>
<dc:relation><![CDATA[info:cnr-pdr/author/matricola:5453/COZZI/STEFANO]]></dc:relation>
<dc:relation><![CDATA[info:cnr-pdr/author/matricola:12491/LUCHETTA/ANNA]]></dc:relation>
<dc:relation><![CDATA[info:cnr-pdr/author/matricola:12837/CANTONI/CAROLINA]]></dc:relation>
<dc:relation><![CDATA[info:cnr-pdr/author/matricola:18161/RAVAIOLI/MARIANGELA]]></dc:relation>
<dc:rights><![CDATA[info:eu-repo/semantics/openAccess]]></dc:rights>
<dc:subject><![CDATA[ocean acidification]]></dc:subject>
<dc:subject><![CDATA[Northern Adriatic Sea]]></dc:subject>
<dc:subject><![CDATA[inorganic carbon system]]></dc:subject>
<dc:subject><![CDATA[PALOMA]]></dc:subject>
</oai_dc:dc>
</metadata>
</record>

266
dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/transform/synonyms.txt
View File

@ -1232,4 +1232,268 @@ dnet:review_levels @=@ 0001 @=@ 印刷物/電子媒体-学術雑誌論文（査
dnet:review_levels @=@ 0001 @=@ 印刷物/電子媒体-紀要論文（査読有り）
dnet:review_levels @=@ 0001 @=@ 印刷物/電子媒体-雑誌記事（査読有り）
dnet:review_levels @=@ 0001 @=@ 原著論文（査読有り）
dnet:review_levels @=@ 0001 @=@ 査読論文
dnet:review_levels @=@ 0001 @=@ 査読論文
cnr:institutes @=@ https://ror.org/00brf2d87 @=@ CDS001
cnr:institutes @=@ https://ror.org/00brf2d87 @=@ IDASC - Istituto di Acustica e Sensoristica \"Orso Mario Corbino\"
cnr:institutes @=@ https://ror.org/006qkqr45 @=@ CDS002
cnr:institutes @=@ https://ror.org/006qkqr45 @=@ IAMC - Istituto per l'ambiente marino costiero
cnr:institutes @=@ https://ror.org/054ye0e45 @=@ CDS003
cnr:institutes @=@ https://ror.org/054ye0e45 @=@ IASI - Istituto di analisi dei sistemi ed informatica \"Antonio Ruberti\"
cnr:institutes @=@ https://ror.org/00ygy3d85 @=@ CDS004
cnr:institutes @=@ https://ror.org/00ygy3d85 @=@ IAC - Istituto per le applicazioni del calcolo \"Mauro Picone\"
cnr:institutes @=@ https://ror.org/000sy1f36 @=@ CDS005
cnr:institutes @=@ https://ror.org/000sy1f36 @=@ IASF - Istituto di astrofisica spaziale e fisica cosmica
cnr:institutes @=@ https://ror.org/00x5wpm25 @=@ CDS006
cnr:institutes @=@ https://ror.org/00x5wpm25 @=@ IBAM - Istituto per i beni archeologici e monumentali
cnr:institutes @=@ https://ror.org/03eqeqg74 @=@ CDS007
cnr:institutes @=@ https://ror.org/03eqeqg74 @=@ IBP - Istituto di biochimica delle proteine
cnr:institutes @=@ https://ror.org/041xzk838 @=@ CDS008
cnr:institutes @=@ https://ror.org/041xzk838 @=@ IBF - Istituto di biofisica
cnr:institutes @=@ https://ror.org/00s2j5046 @=@ CDS009
cnr:institutes @=@ https://ror.org/00s2j5046 @=@ IBFM - Istituto di bioimmagini e fisiologia molecolare
cnr:institutes @=@ __CDS010__ @=@ CDS010
cnr:institutes @=@ __CDS010__ @=@ IBAF - Istituto di biologia agro-ambientale e forestale
cnr:institutes @=@ __CDS011__ @=@ CDS011
cnr:institutes @=@ __CDS011__ @=@ IBC - Istituto di biologia cellulare
cnr:institutes @=@ https://ror.org/02e5sbe24 @=@ CDS012
cnr:institutes @=@ https://ror.org/02e5sbe24 @=@ IBBA - Istituto di biologia e biotecnologia agraria
cnr:institutes @=@ https://ror.org/01nyatq71 @=@ CDS013
cnr:institutes @=@ https://ror.org/01nyatq71 @=@ IBPM - Istituto di biologia e patologia molecolari
cnr:institutes @=@ https://ror.org/01dy2q607 @=@ CDS014
cnr:institutes @=@ https://ror.org/01dy2q607 @=@ IBIM - Istituto di biomedicina e di immunologia molecolare \"Alberto Monroy\"
cnr:institutes @=@ https://ror.org/05nzf7q96 @=@ CDS015
cnr:institutes @=@ https://ror.org/05nzf7q96 @=@ IBIOM - Istituto di Biomembrane, Bioenergetica e Biotecnologie Molecolari
cnr:institutes @=@ https://ror.org/05m1yqp60 @=@ CDS016
cnr:institutes @=@ https://ror.org/05m1yqp60 @=@ IBIMET - Istituto di biometeorologia
cnr:institutes @=@ https://ror.org/03rqtqb02 @=@ CDS017
cnr:institutes @=@ https://ror.org/03rqtqb02 @=@ IBB - Istituto di biostrutture e bioimmagini
cnr:institutes @=@ https://ror.org/04r5fge26 @=@ CDS018
cnr:institutes @=@ https://ror.org/04r5fge26 @=@ ICAR - Istituto di calcolo e reti ad alte prestazioni
cnr:institutes @=@ https://ror.org/03wyf0g15 @=@ CDS019
cnr:institutes @=@ https://ror.org/03wyf0g15 @=@ ICB - Istituto di chimica biomolecolare
cnr:institutes @=@ https://ror.org/02fkw1114 @=@ CDS020
cnr:institutes @=@ https://ror.org/02fkw1114 @=@ ICCOM - Istituto di chimica dei composti organo metallici
cnr:institutes @=@ https://ror.org/0141vn777 @=@ CDS021
cnr:institutes @=@ https://ror.org/0141vn777 @=@ ICRM - Istituto di chimica del riconoscimento molecolare
cnr:institutes @=@ __CDS022__ @=@ CDS022
cnr:institutes @=@ __CDS022__ @=@ ICTP - Istituto di chimica e tecnologia dei polimeri
cnr:institutes @=@ __CDS023__ @=@ CDS023
cnr:institutes @=@ __CDS023__ @=@ ICIS - Istituto di chimica inorganica e delle superfici
cnr:institutes @=@ https://ror.org/00be3zh53 @=@ CDS024
cnr:institutes @=@ https://ror.org/00be3zh53 @=@ ISASI - Istituto di Scienze Applicate e Sistemi Intelligenti \"Eduardo Caianiello\"
cnr:institutes @=@ __CDS025__ @=@ CDS025
cnr:institutes @=@ __CDS025__ @=@ ICEVO - Istituto di Studi sulle Civiltà dell'Egeo e del Vicino Oriente
cnr:institutes @=@ https://ror.org/02ynrme92 @=@ CDS026
cnr:institutes @=@ https://ror.org/02ynrme92 @=@ ICVBC - Istituto per la conservazione e valorizzazione dei beni culturali
cnr:institutes @=@ https://ror.org/05wba8r86 @=@ CDS027
cnr:institutes @=@ https://ror.org/05wba8r86 @=@ IC - Istituto di cristallografia
cnr:institutes @=@ https://ror.org/03z58xd74 @=@ CDS028
cnr:institutes @=@ https://ror.org/03z58xd74 @=@ IDPA - Istituto per la dinamica dei processi ambientali
cnr:institutes @=@ https://ror.org/00n4jbh84 @=@ CDS029
cnr:institutes @=@ https://ror.org/00n4jbh84 @=@ IEIIT - Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
cnr:institutes @=@ https://ror.org/04sn06036 @=@ CDS030
cnr:institutes @=@ https://ror.org/04sn06036 @=@ IEOS - Istituto per l'endocrinologia e l'oncologia \"Gaetano Salvatore\"
cnr:institutes @=@ https://ror.org/01rg40y89 @=@ CDS031
cnr:institutes @=@ https://ror.org/01rg40y89 @=@ ICMATE - Istituto di Chimica della Materia Condensata e di Tecnologie per l'Energia
cnr:institutes @=@ https://ror.org/00dqega85 @=@ CDS032
cnr:institutes @=@ https://ror.org/00dqega85 @=@ IFAC - Istituto di fisica applicata \"Nello Carrara\"
cnr:institutes @=@ https://ror.org/02n2bgz18 @=@ CDS033
cnr:institutes @=@ https://ror.org/02n2bgz18 @=@ IFP - Istituto di fisica del plasma \"Piero Caldirola\"
cnr:institutes @=@ __CDS034__ @=@ CDS034
cnr:institutes @=@ __CDS034__ @=@ IFSI - Istituto di fisica dello spazio interplanetario
cnr:institutes @=@ https://ror.org/01kdj2848 @=@ CDS035
cnr:institutes @=@ https://ror.org/01kdj2848 @=@ IFC - Istituto di fisiologia clinica
cnr:institutes @=@ https://ror.org/049ebw417 @=@ CDS036
cnr:institutes @=@ https://ror.org/049ebw417 @=@ IFN - Istituto di fotonica e nanotecnologie
cnr:institutes @=@ https://ror.org/01f5tnx94 @=@ CDS037
cnr:institutes @=@ https://ror.org/01f5tnx94 @=@ IGI - Istituto gas ionizzati
cnr:institutes @=@ __CDS038__ @=@ CDS038
cnr:institutes @=@ __CDS038__ @=@ IGP - Istituto di genetica delle popolazioni
cnr:institutes @=@ https://ror.org/04hadk112 @=@ CDS039
cnr:institutes @=@ https://ror.org/04hadk112 @=@ IGB - Istituto di genetica e biofisica \"Adriano Buzzati Traverso\"
cnr:institutes @=@ https://ror.org/03qpd8w66 @=@ CDS040
cnr:institutes @=@ https://ror.org/03qpd8w66 @=@ IGM - Istituto di genetica molecolare \"Luigi Luca Cavalli Sforza\"
cnr:institutes @=@ https://ror.org/01gtsa866 @=@ CDS041
cnr:institutes @=@ https://ror.org/01gtsa866 @=@ IBBR - Istituto di Bioscienze e Biorisorse
cnr:institutes @=@ https://ror.org/00ytw6m58 @=@ CDS042
cnr:institutes @=@ https://ror.org/00ytw6m58 @=@ IGAG - Istituto di geologia ambientale e geoingegneria
cnr:institutes @=@ https://ror.org/015bmra78 @=@ CDS043
cnr:institutes @=@ https://ror.org/015bmra78 @=@ IGG - Istituto di geoscienze e georisorse
cnr:institutes @=@ https://ror.org/02gdcn153 @=@ CDS044
cnr:institutes @=@ https://ror.org/02gdcn153 @=@ IIT - Istituto di informatica e telematica
cnr:institutes @=@ __CDS045__ @=@ CDS045
cnr:institutes @=@ __CDS045__ @=@ ISIB - Istituto di ingegneria biomedica
cnr:institutes @=@ https://ror.org/05hky6p02 @=@ CDS046
cnr:institutes @=@ https://ror.org/05hky6p02 @=@ IIA - Istituto sull'inquinamento atmosferico
cnr:institutes @=@ https://ror.org/011n2hw53 @=@ CDS047
cnr:institutes @=@ https://ror.org/011n2hw53 @=@ ILIESI - Istituto per il lessico intellettuale europeo e storia delle idee
cnr:institutes @=@ https://ror.org/028g3pe33 @=@ CDS048
cnr:institutes @=@ https://ror.org/028g3pe33 @=@ ILC - Istituto di linguistica computazionale \"Antonio Zampolli\"
cnr:institutes @=@ __CDS049__ @=@ CDS049
cnr:institutes @=@ __CDS049__ @=@ IMAMOTER - Istituto per le macchine agricole e movimento terra
cnr:institutes @=@ https://ror.org/03m0n3c07 @=@ CDS050
cnr:institutes @=@ https://ror.org/03m0n3c07 @=@ IMATI - Istituto di matematica applicata e tecnologie informatiche \"Enrico Magenes\"
cnr:institutes @=@ __CDS051__ @=@ CDS051
cnr:institutes @=@ __CDS051__ @=@ IMCB - Istituto per i materiali compositi e biomedici
cnr:institutes @=@ https://ror.org/00z8ws214 @=@ CDS052
cnr:institutes @=@ https://ror.org/00z8ws214 @=@ IMEM - Istituto dei materiali per l'elettronica ed il magnetismo
cnr:institutes @=@ __CDS053__ @=@ CDS053
cnr:institutes @=@ __CDS053__ @=@ ISB - Istituto per i Sistemi Biologici
cnr:institutes @=@ https://ror.org/00bc51d88 @=@ CDS054
cnr:institutes @=@ https://ror.org/00bc51d88 @=@ NANOTEC - Istituto di Nanotecnologia
cnr:institutes @=@ https://ror.org/024ye7w89 @=@ CDS055
cnr:institutes @=@ https://ror.org/024ye7w89 @=@ IMAA - Istituto di metodologie per l'analisi ambientale
cnr:institutes @=@ __CDS056__ @=@ CDS056
cnr:institutes @=@ __CDS056__ @=@ IMGC - Istituto di metrologia \"Gustavo Colonnetti\"
cnr:institutes @=@ https://ror.org/05vk2g845 @=@ CDS057
cnr:institutes @=@ https://ror.org/05vk2g845 @=@ IMM - Istituto per la microelettronica e microsistemi
cnr:institutes @=@ https://ror.org/02qwy8e97 @=@ CDS058
cnr:institutes @=@ https://ror.org/02qwy8e97 @=@ IM - Istituto motori
cnr:institutes @=@ __CDS059__ @=@ CDS059
cnr:institutes @=@ __CDS059__ @=@ INMM - Istituto di neurobiologia e medicina molecolare
cnr:institutes @=@ https://ror.org/02dr63s31 @=@ CDS060
cnr:institutes @=@ https://ror.org/02dr63s31 @=@ IRGB - Istituto di Ricerca Genetica e Biomedica
cnr:institutes @=@ https://ror.org/0240rwx68 @=@ CDS061
cnr:institutes @=@ https://ror.org/0240rwx68 @=@ IN - Istituto di neuroscienze
cnr:institutes @=@ https://ror.org/02rzxrg25 @=@ CDS062
cnr:institutes @=@ https://ror.org/02rzxrg25 @=@ OVI - Istituto opera del vocabolario italiano
cnr:institutes @=@ https://ror.org/05patmk97 @=@ CDS063
cnr:institutes @=@ https://ror.org/05patmk97 @=@ IPCF - Istituto per i processi chimico-fisici
cnr:institutes @=@ __CDS064__ @=@ CDS064
cnr:institutes @=@ __CDS064__ @=@ IPP - Istituto per la protezione delle piante
cnr:institutes @=@ https://ror.org/029st3z03 @=@ CDS065
cnr:institutes @=@ https://ror.org/029st3z03 @=@ IRA - Istituto di radioastronomia
cnr:institutes @=@ https://ror.org/0040zx077 @=@ CDS066
cnr:institutes @=@ https://ror.org/0040zx077 @=@ IRPI - Istituto di ricerca per la protezione idrogeologica
cnr:institutes @=@ https://ror.org/044bfsy89 @=@ CDS067
cnr:institutes @=@ https://ror.org/044bfsy89 @=@ IRCRES - Istituto di Ricerca sulla Crescita Economica Sostenibile
cnr:institutes @=@ https://ror.org/01n1ayq61 @=@ CDS068
cnr:institutes @=@ https://ror.org/01n1ayq61 @=@ IRPPS - Istituto di ricerche sulla popolazione e le politiche sociali
cnr:institutes @=@ https://ror.org/02db0kh50 @=@ CDS069
cnr:institutes @=@ https://ror.org/02db0kh50 @=@ IRSA - Istituto di ricerca sulle acque
cnr:institutes @=@ https://ror.org/05813wx75 @=@ CDS070
cnr:institutes @=@ https://ror.org/05813wx75 @=@ IRC - Istituto di ricerche sulla combustione
cnr:institutes @=@ https://ror.org/04vnwke91 @=@ CDS071
cnr:institutes @=@ https://ror.org/04vnwke91 @=@ IRISS - Istituto di Ricerca su Innovazione e Servizi per lo Sviluppo
cnr:institutes @=@ https://ror.org/02wxw4x45 @=@ CDS072
cnr:institutes @=@ https://ror.org/02wxw4x45 @=@ IREA - Istituto per il rilevamento elettromagnetico dell'ambiente
cnr:institutes @=@ https://ror.org/01j6drw72 @=@ CDS073
cnr:institutes @=@ https://ror.org/01j6drw72 @=@ ISTEC - Istituto di scienza e tecnologia dei materiali ceramici
cnr:institutes @=@ https://ror.org/05kacka20 @=@ CDS074
cnr:institutes @=@ https://ror.org/05kacka20 @=@ ISTI - Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\"
cnr:institutes @=@ https://ror.org/00n8ttd98 @=@ CDS075
cnr:institutes @=@ https://ror.org/00n8ttd98 @=@ ISAC - Istituto di scienze dell'atmosfera e del clima
cnr:institutes @=@ https://ror.org/0013zhk30 @=@ CDS076
cnr:institutes @=@ https://ror.org/0013zhk30 @=@ ISA - Istituto di Scienze dell'Alimentazione
cnr:institutes @=@ https://ror.org/03x7xkr71 @=@ CDS077
cnr:institutes @=@ https://ror.org/03x7xkr71 @=@ ISPA - Istituto di scienze delle produzioni alimentari
cnr:institutes @=@ https://ror.org/05w9g2j85 @=@ CDS078
cnr:institutes @=@ https://ror.org/05w9g2j85 @=@ ISTC - Istituto di scienze e tecnologie della cognizione
cnr:institutes @=@ https://ror.org/032tyv240 @=@ CDS079
cnr:institutes @=@ https://ror.org/032tyv240 @=@ ISTM - Istituto di scienze e tecnologie molecolari
cnr:institutes @=@ https://ror.org/02hdf6119 @=@ CDS080
cnr:institutes @=@ https://ror.org/02hdf6119 @=@ ISMAR - Istituto di scienze marine
cnr:institutes @=@ https://ror.org/01yg57d71 @=@ CDS081
cnr:institutes @=@ https://ror.org/01yg57d71 @=@ ISN - Istituto di scienze neurologiche
cnr:institutes @=@ https://ror.org/021z1mz76 @=@ CDS082
cnr:institutes @=@ https://ror.org/021z1mz76 @=@ ISOF - Istituto per la sintesi organica e la fotoreattività
cnr:institutes @=@ https://ror.org/01wqae691 @=@ CDS083
cnr:institutes @=@ https://ror.org/01wqae691 @=@ ISPAAM - Istituto per il sistema produzione animale in ambiente Mediterraneo
cnr:institutes @=@ __CDS084__ @=@ CDS084
cnr:institutes @=@ __CDS084__ @=@ ISAFoM - Istituto per i sistemi agricoli e forestali del mediterraneo
cnr:institutes @=@ https://ror.org/00awwz417 @=@ CDS085
cnr:institutes @=@ https://ror.org/00awwz417 @=@ ISPF - Istituto per la storia del pensiero filosofico e scientifico moderno
cnr:institutes @=@ https://ror.org/03a111314 @=@ CDS086
cnr:institutes @=@ https://ror.org/03a111314 @=@ ISEM - Istituto di storia dell'Europa mediterranea
cnr:institutes @=@ https://ror.org/01zz9wh30 @=@ CDS087
cnr:institutes @=@ https://ror.org/01zz9wh30 @=@ ISM - Istituto di struttura della materia
cnr:institutes @=@ https://ror.org/035y5td47 @=@ CDS088
cnr:institutes @=@ https://ror.org/035y5td47 @=@ ISGI - Istituto di studi giuridici internazionali
cnr:institutes @=@ __CDS089__ @=@ CDS089
cnr:institutes @=@ __CDS089__ @=@ ISPRI - Istituto sperimentale di studi socio - economici sull'innovazione e le politiche della ricerca
cnr:institutes @=@ https://ror.org/051t1q308 @=@ CDS090
cnr:institutes @=@ https://ror.org/051t1q308 @=@ ISSIA - Istituto di studi sui sistemi intelligenti per l'automazione
cnr:institutes @=@ https://ror.org/05k3cs357 @=@ CDS091
cnr:institutes @=@ https://ror.org/05k3cs357 @=@ ISSIRFA - Istituto di studi sui sistemi regionali federali e sulle autonomie \"Massimo Severo Giannini\"
cnr:institutes @=@ https://ror.org/02gcxw165 @=@ CDS092
cnr:institutes @=@ https://ror.org/02gcxw165 @=@ ISMA - Istituto di Studi sul Mediterraneo Antico
cnr:institutes @=@ https://ror.org/05db0es39 @=@ CDS093
cnr:institutes @=@ https://ror.org/05db0es39 @=@ ISMed - Istituto di studi sul Mediterraneo
cnr:institutes @=@ https://ror.org/029k6t707 @=@ CDS094
cnr:institutes @=@ https://ror.org/029k6t707 @=@ ISE - Istituto per lo studio degli ecosistemi
cnr:institutes @=@ https://ror.org/00w6r1881 @=@ CDS095
cnr:institutes @=@ https://ror.org/00w6r1881 @=@ ISMN - Istituto per lo studio dei materiali nanostrutturati
cnr:institutes @=@ https://ror.org/01mfmr054 @=@ CDS096
cnr:institutes @=@ https://ror.org/01mfmr054 @=@ ISMAC - Istituto per lo studio delle macromolecole
cnr:institutes @=@ https://ror.org/058nrs650 @=@ CDS097
cnr:institutes @=@ https://ror.org/058nrs650 @=@ ITM - Istituto per la tecnologia delle membrane
cnr:institutes @=@ https://ror.org/0331xj092 @=@ CDS098
cnr:institutes @=@ https://ror.org/0331xj092 @=@ ITABC - Istituto per le tecnologie applicate ai beni culturali
cnr:institutes @=@ https://ror.org/052q58629 @=@ CDS099
cnr:institutes @=@ https://ror.org/052q58629 @=@ ITAE - Istituto di tecnologie avanzate per l'energia \"Nicola Giordano\"
cnr:institutes @=@ https://ror.org/04ehykb85 @=@ CDS100
cnr:institutes @=@ https://ror.org/04ehykb85 @=@ ITB - Istituto di tecnologie biomediche
cnr:institutes @=@ https://ror.org/0221agg28 @=@ CDS101
cnr:institutes @=@ https://ror.org/0221agg28 @=@ ITC - Istituto per le tecnologie della costruzione
cnr:institutes @=@ https://ror.org/02xz4xc25 @=@ CDS102
cnr:institutes @=@ https://ror.org/02xz4xc25 @=@ ITD - Istituto per le tecnologie didattiche
cnr:institutes @=@ __CDS103__ @=@ CDS103
cnr:institutes @=@ __CDS103__ @=@ STIIMA - Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato
cnr:institutes @=@ https://ror.org/01as2bh37 @=@ CDS104
cnr:institutes @=@ https://ror.org/01as2bh37 @=@ ITTIG - Istituto di teoria e tecniche dell'informazione giuridica
cnr:institutes @=@ https://ror.org/01y5w6t76 @=@ CDS105
cnr:institutes @=@ https://ror.org/01y5w6t76 @=@ ITOI - Istituto per i trapianti d'organo e immunocitologia
cnr:institutes @=@ https://ror.org/04xy2mq71 @=@ CDS106
cnr:institutes @=@ https://ror.org/04xy2mq71 @=@ IVALSA - Istituto per la valorizzazione del legno e delle specie arboree
cnr:institutes @=@ __CDS107__ @=@ CDS107
cnr:institutes @=@ __CDS107__ @=@ IVV - Istituto di virologia vegetale
cnr:institutes @=@ https://ror.org/013nxtf56 @=@ CDS108
cnr:institutes @=@ https://ror.org/013nxtf56 @=@ IRSIG - Istituto di ricerca sui sistemi giudiziari
cnr:institutes @=@ https://ror.org/05rcgef49 @=@ CDS109
cnr:institutes @=@ https://ror.org/05rcgef49 @=@ ISC - Istituto dei sistemi complessi
cnr:institutes @=@ __CDS110__ @=@ CDS110
cnr:institutes @=@ __CDS110__ @=@ INFM - Centro di responsabilità scientifica INFM
cnr:institutes @=@ https://ror.org/02dp3a879 @=@ CDS111
cnr:institutes @=@ https://ror.org/02dp3a879 @=@ INO - Istituto nazionale di ottica
cnr:institutes @=@ __CDS112__ @=@ CDS112
cnr:institutes @=@ __CDS112__ @=@ IDAIC - Centro di responsabilità di attività scientifica IDAIC
cnr:institutes @=@ https://ror.org/00p03yg71 @=@ CDS113
cnr:institutes @=@ https://ror.org/00p03yg71 @=@ SPIN - Istituto superconduttori, materiali innovativi e dispositivi
cnr:institutes @=@ https://ror.org/00yfw2296 @=@ CDS114
cnr:institutes @=@ https://ror.org/00yfw2296 @=@ IOM - Istituto officina dei materiali
cnr:institutes @=@ https://ror.org/0042e5975 @=@ CDS115
cnr:institutes @=@ https://ror.org/0042e5975 @=@ NANO - Istituto Nanoscienze
cnr:institutes @=@ https://ror.org/03ta8pf33 @=@ CDS116
cnr:institutes @=@ https://ror.org/03ta8pf33 @=@ IFT - Istituto di Farmacologia Traslazionale
cnr:institutes @=@ https://ror.org/040xhth73 @=@ CDS117
cnr:institutes @=@ https://ror.org/040xhth73 @=@ IBCN - Istituto di Biologia Cellulare e Neurobiologia
cnr:institutes @=@ https://ror.org/02qnx8e75 @=@ CDS118
cnr:institutes @=@ https://ror.org/02qnx8e75 @=@ INM - Istituto di iNgegneria del Mare
cnr:institutes @=@ https://ror.org/05nr7xa08 @=@ CDS119
cnr:institutes @=@ https://ror.org/05nr7xa08 @=@ IPCB - Istituto per i Polimeri, Compositi e Biomateriali
cnr:institutes @=@ https://ror.org/008fjbg42 @=@ CDS121
cnr:institutes @=@ https://ror.org/008fjbg42 @=@ IPSP - Istituto per la Protezione Sostenibile delle Piante
cnr:institutes @=@ __CDS122__ @=@ CDS122
cnr:institutes @=@ __CDS122__ @=@ IRBIM - Istituto per le Risorse Biologiche e le Biotecnologie Marine
cnr:institutes @=@ __CDS123__ @=@ CDS123
cnr:institutes @=@ __CDS123__ @=@ ISPC - Istituto di Scienze del Patrimonio Culturale
cnr:institutes @=@ __CDS124__ @=@ CDS124
cnr:institutes @=@ __CDS124__ @=@ IAS - Istituto per lo studio degli impatti Antropici e Sostenibilità in ambiente marino
cnr:institutes @=@ __CDS125__ @=@ CDS125
cnr:institutes @=@ __CDS125__ @=@ IRET - Istituto di Ricerca sugli Ecosistemi Terrestri
cnr:institutes @=@ https://ror.org/03a0vt050 @=@ CDS126
cnr:institutes @=@ https://ror.org/03a0vt050 @=@ ISTP - Istituto per la Scienza e Tecnologia dei Plasmi
cnr:institutes @=@ __CDS127__ @=@ CDS127
cnr:institutes @=@ __CDS127__ @=@ ISP - Istituto di Scienze Polari
cnr:institutes @=@ https://ror.org/03byxpq91 @=@ CDS128
cnr:institutes @=@ https://ror.org/03byxpq91 @=@ IRIB - Istituto per la Ricerca e l'Innovazione Biomedica
cnr:institutes @=@ __CDS129__ @=@ CDS129
cnr:institutes @=@ __CDS129__ @=@ IGSG - Istituto di Informatica Giuridica e Sistemi Giudiziari
cnr:institutes @=@ __CDS130__ @=@ CDS130
cnr:institutes @=@ __CDS130__ @=@ IBBC - Istituto di Biochimica e Biologia Cellulare
cnr:institutes @=@ __CDS131__ @=@ CDS131
cnr:institutes @=@ __CDS131__ @=@ IBE - Istituto per la BioEconomia
cnr:institutes @=@ https://ror.org/0263zy895 @=@ CDS132
cnr:institutes @=@ https://ror.org/0263zy895 @=@ SCITEC - Istituto di Scienze e Tecnologie Chimiche \"Giulio Natta\"
cnr:institutes @=@ __CDS133__ @=@ CDS133
cnr:institutes @=@ __CDS133__ @=@ STEMS - Istituto di Scienze e Tecnologie per l'Energia e la Mobilità Sostenibili

135
dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/transform/terms.txt
View File

@ -1077,4 +1077,137 @@ dnet:topic_types @=@ dnet:topic_types @=@ ENRICH/MISSING/DATASET/IS_SUPPLEMENTED
dnet:topic_types @=@ dnet:topic_types @=@ ENRICH/MISSING/AUTHOR/ORCID @=@ An Open Researcher and Contributor ID (ORCID) that can be associated to an author of your publications
dnet:review_levels @=@ dnet:review_levels @=@ 0000 @=@ Unknown
dnet:review_levels @=@ dnet:review_levels @=@ 0002 @=@ nonPeerReviewed
dnet:review_levels @=@ dnet:review_levels @=@ 0001 @=@ peerReviewed
dnet:review_levels @=@ dnet:review_levels @=@ 0001 @=@ peerReviewed
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/00brf2d87 @=@ https://ror.org/00brf2d87
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/006qkqr45 @=@ https://ror.org/006qkqr45
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/054ye0e45 @=@ https://ror.org/054ye0e45
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/00ygy3d85 @=@ https://ror.org/00ygy3d85
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/000sy1f36 @=@ https://ror.org/000sy1f36
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/00x5wpm25 @=@ https://ror.org/00x5wpm25
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/03eqeqg74 @=@ https://ror.org/03eqeqg74
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/041xzk838 @=@ https://ror.org/041xzk838
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/00s2j5046 @=@ https://ror.org/00s2j5046
cnr:institutes @=@ cnr:institutes @=@ __CDS010__ @=@ __CDS010__
cnr:institutes @=@ cnr:institutes @=@ __CDS011__ @=@ __CDS011__
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/02e5sbe24 @=@ https://ror.org/02e5sbe24
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/01nyatq71 @=@ https://ror.org/01nyatq71
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/01dy2q607 @=@ https://ror.org/01dy2q607
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/05nzf7q96 @=@ https://ror.org/05nzf7q96
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/05m1yqp60 @=@ https://ror.org/05m1yqp60
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/03rqtqb02 @=@ https://ror.org/03rqtqb02
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/04r5fge26 @=@ https://ror.org/04r5fge26
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/03wyf0g15 @=@ https://ror.org/03wyf0g15
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/02fkw1114 @=@ https://ror.org/02fkw1114
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/0141vn777 @=@ https://ror.org/0141vn777
cnr:institutes @=@ cnr:institutes @=@ __CDS022__ @=@ __CDS022__
cnr:institutes @=@ cnr:institutes @=@ __CDS023__ @=@ __CDS023__
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/00be3zh53 @=@ https://ror.org/00be3zh53
cnr:institutes @=@ cnr:institutes @=@ __CDS025__ @=@ __CDS025__
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/02ynrme92 @=@ https://ror.org/02ynrme92
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/05wba8r86 @=@ https://ror.org/05wba8r86
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/03z58xd74 @=@ https://ror.org/03z58xd74
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/00n4jbh84 @=@ https://ror.org/00n4jbh84
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/04sn06036 @=@ https://ror.org/04sn06036
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/01rg40y89 @=@ https://ror.org/01rg40y89
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/00dqega85 @=@ https://ror.org/00dqega85
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/02n2bgz18 @=@ https://ror.org/02n2bgz18
cnr:institutes @=@ cnr:institutes @=@ __CDS034__ @=@ __CDS034__
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/01kdj2848 @=@ https://ror.org/01kdj2848
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cnr:institutes @=@ cnr:institutes @=@ __CDS038__ @=@ __CDS038__
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cnr:institutes @=@ cnr:institutes @=@ __CDS045__ @=@ __CDS045__
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cnr:institutes @=@ cnr:institutes @=@ __CDS053__ @=@ __CDS053__
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cnr:institutes @=@ cnr:institutes @=@ __CDS056__ @=@ __CDS056__
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cnr:institutes @=@ cnr:institutes @=@ https://ror.org/0331xj092 @=@ https://ror.org/0331xj092
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cnr:institutes @=@ cnr:institutes @=@ https://ror.org/04ehykb85 @=@ https://ror.org/04ehykb85
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cnr:institutes @=@ cnr:institutes @=@ https://ror.org/02xz4xc25 @=@ https://ror.org/02xz4xc25
cnr:institutes @=@ cnr:institutes @=@ __CDS103__ @=@ __CDS103__
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cnr:institutes @=@ cnr:institutes @=@ https://ror.org/01y5w6t76 @=@ https://ror.org/01y5w6t76
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17
dhp-workflows/dhp-aggregation/src/test/scala/eu/dnetlib/dhp/datacite/DataciteToOAFTest.scala
View File

@ -2,11 +2,14 @@ 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 eu.dnetlib.dhp.schema.oaf.{Dataset => OafDataset, _}
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.json4s.DefaultFormats
import org.json4s.JsonAST.{JField, JObject, JString}
import org.json4s.jackson.JsonMethods.parse
import org.junit.jupiter.api.Assertions._
import org.junit.jupiter.api.extension.ExtendWith
import org.junit.jupiter.api.{AfterEach, BeforeEach, Test}
@ -45,6 +48,9 @@ class DataciteToOAFTest extends AbstractVocabularyTest {
}
@Test
def testConvert(): Unit = {
@ -70,17 +76,18 @@ class DataciteToOAFTest extends AbstractVocabularyTest {
assertEquals(100, nativeSize)
spark.read.load(targetPath).printSchema();
val result: Dataset[String] = spark.read.text(targetPath).as[String].map(DataciteUtilityTest.convertToOAF)(Encoders.STRING)
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()
val t = spark.read.text(targetPath).as[String].count()
assertTrue(t > 0)

31
dhp-workflows/dhp-aggregation/src/test/scala/eu/dnetlib/dhp/datacite/DataciteUtilityTest.scala Normal file
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@ -0,0 +1,31 @@
package eu.dnetlib.dhp.datacite
import org.json4s.DefaultFormats
import org.json4s.JsonAST.{JField, JObject, JString}
import org.json4s.jackson.JsonMethods.parse
object DataciteUtilityTest {
def convertToOAF(input:String) : String = {
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
lazy val json = parse(input)
val isRelation:String = (json \\ "source").extractOrElse("NULL")
if (isRelation != "NULL") {
return "Relation"
}
val iType: List[String] = for {
JObject(instance) <- json \\ "instance"
JField("instancetype", JObject(instancetype)) <- instance
JField("classname", JString(classname)) <- instancetype
} yield classname
val l:String =iType.head.toLowerCase()
l
}
}

102
dhp-workflows/dhp-aggregation/src/test/scala/eu/dnetlib/dhp/sx/bio/BioScholixTest.scala
View File

@ -2,9 +2,10 @@ package eu.dnetlib.dhp.sx.bio
import com.fasterxml.jackson.databind.{DeserializationFeature, ObjectMapper, SerializationFeature}
import eu.dnetlib.dhp.aggregation.AbstractVocabularyTest
import eu.dnetlib.dhp.schema.oaf.{Oaf, Relation, Result}
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, PubMedToOaf}
import eu.dnetlib.dhp.sx.bio.pubmed.{PMArticle, PMParser, PMSubject, PubMedToOaf}
import org.json4s.DefaultFormats
import org.json4s.JsonAST.{JField, JObject, JString}
import org.json4s.jackson.JsonMethods.parse
@ -16,6 +17,7 @@ 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
@ -72,6 +74,102 @@ class BioScholixTest extends AbstractVocabularyTest {
)
println(mapper.writeValueAsString(r.head))
}
private def checkPMArticle(article:PMArticle): Unit = {
assertNotNull(article.getPmid)
assertNotNull(article.getTitle)
assertNotNull(article.getAuthors)
article.getAuthors.asScala.foreach{a =>
assertNotNull(a)
assertNotNull(a.getFullName)
}
}
@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])
val p:Publication = o.asInstanceOf[Publication]
assertNotNull(p.getId)
assertNotNull(p.getTitle)
p.getTitle.asScala.foreach(t =>assertNotNull(t.getValue))
p.getAuthor.asScala.foreach(a =>assertNotNull(a.getFullname))
assertNotNull(p.getInstance())
p.getInstance().asScala.foreach { i =>
assertNotNull(i.getCollectedfrom)
assertNotNull(i.getPid)
assertNotNull(i.getInstancetype)
}
assertNotNull(p.getOriginalId)
p.getOriginalId.asScala.foreach(oId => assertNotNull(oId))
val hasPMC = p.getInstance().asScala.exists(i => i.getPid.asScala.exists(pid => pid.getQualifier.getClassid.equalsIgnoreCase(PidType.pmc.toString)))
if (hasPMC) {
assertTrue(p.getOriginalId.asScala.exists(oId => oId.startsWith("od_______267::")))
}
}
@Test
def testPubmedOriginalID():Unit = {
val article:PMArticle = new PMArticle
article.setPmid("1234")
article.setTitle("a Title")
// VERIFY PUBLICATION IS NOT NULL
article.getPublicationTypes.add( new PMSubject("article",null, null))
var publication = PubMedToOaf.convert(article, vocabularies).asInstanceOf[Publication]
assertNotNull(publication)
assertEquals("50|pmid________::81dc9bdb52d04dc20036dbd8313ed055", publication.getId)
// VERIFY PUBLICATION ID DOES NOT CHANGE ALSO IF SETTING PMC IDENTIFIER
article.setPmcId("PMC1517292")
publication = PubMedToOaf.convert(article, vocabularies).asInstanceOf[Publication]
assertNotNull(publication)
assertEquals("50|pmid________::81dc9bdb52d04dc20036dbd8313ed055", publication.getId)
// VERIFY ORIGINAL ID GENERATE IN OLD WAY USING PMC IDENTIFIER EXISTS
val oldOpenaireID ="od_______267::0000072375bc0e68fa09d4e6b7658248"
val hasOldOpenAIREID = publication.getOriginalId.asScala.exists(o => o.equalsIgnoreCase(oldOpenaireID))
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

368
dhp-workflows/dhp-doiboost/src/test/resources/eu/dnetlib/doiboost/crossref/article_nojournal.json Normal file
View File

@ -0,0 +1,368 @@
{
"indexed": {
"date-parts": [
[
2022,
4,
22
]
],
"date-time": "2022-04-22T15:30:54Z",
"timestamp": 1650641454218
},
"reference-count": 31,
"publisher": "Cambridge University Press (CUP)",
"issue": "2",
"license": [
{
"start": {
"date-parts": [
[
2017,
8,
22
]
],
"date-time": "2017-08-22T00:00:00Z",
"timestamp": 1503360000000
},
"content-version": "unspecified",
"delay-in-days": 21,
"URL": "https://www.cambridge.org/core/terms"
}
],
"content-domain": {
"domain": [
],
"crossmark-restriction": false
},
"short-container-title": [
"Dance Res. J."
],
"published-print": {
"date-parts": [
[
2017,
8
]
]
},
"abstract": "<jats:p>Gaga, a practice developed by Israeli choreographer Ohad Naharin, is one of the most popular training methods on the global dance market. Structured as a metatechnique, or a system for negotiating techniques within one's body, Gaga teaches students to both draw on and reject multiple movement techniques to create their own movement. I consider how the paradigms of choreography, technique, and improvisation are blurred together in the pedagogical model of a metatechnique and how training dancers to shift between choreographer, dancer, and improviser has significant ramifications for understanding their agency. The metatechnique model of Gaga falls in line with neoliberal values of efficiency and a wide range of skills and knowledge; this analysis provides an understanding of recent trends in dance training in relation to contemporary political and socioeconomic structures.</jats:p>",
"DOI": "10.1017/s0149767717000183",
"type": "journal-article",
"created": {
"date-parts": [
[
2017,
8,
22
]
],
"date-time": "2017-08-22T13:32:38Z",
"timestamp": 1503408758000
},
"page": "26-43",
"source": "Crossref",
"is-referenced-by-count": 10,
"title": [
"Gaga as Metatechnique: Negotiating Choreography, Improvisation, and Technique in a Neoliberal Dance Market"
],
"prefix": "10.1017",
"volume": "49",
"author": [
{
"given": "Meghan",
"family": "Quinlan",
"sequence": "first",
"affiliation": [
]
}
],
"member": "56",
"published-online": {
"date-parts": [
[
2017,
8,
22
]
]
},
"reference": [
{
"key": "S0149767717000183_ref22",
"first-page": "38",
"article-title": "‘I Don't Want to do African … What About My Technique?’: Transforming Dancing Places into Spaces in the Academy",
"volume": "4",
"author": "Monroe",
"year": "2011",
"journal-title": "The Journal of Pan African Studies"
},
{
"key": "S0149767717000183_ref8",
"volume-title": "Discipline and Punish: The Birth of the Prison",
"author": "Foucault",
"year": "1995"
},
{
"key": "S0149767717000183_ref24",
"volume-title": "Sharing the Dance: Contact Improvisation and American Culture",
"author": "Novack",
"year": "1990"
},
{
"key": "S0149767717000183_ref26",
"doi-asserted-by": "publisher",
"DOI": "10.1215/9780822387879"
},
{
"key": "S0149767717000183_ref10",
"doi-asserted-by": "publisher",
"DOI": "10.1080/01472526.2015.1085759"
},
{
"key": "S0149767717000183_ref4",
"doi-asserted-by": "crossref",
"first-page": "235",
"volume-title": "Meaning in Motion",
"author": "Foster",
"year": "1997",
"DOI": "10.1215/9780822397281-013"
},
{
"key": "S0149767717000183_ref17",
"doi-asserted-by": "publisher",
"DOI": "10.1093/acprof:oso/9780199360369.001.0001"
},
{
"key": "S0149767717000183_ref30",
"volume-title": "The Precariat: The New Dangerous Class",
"author": "Standing",
"year": "2011"
},
{
"key": "S0149767717000183_ref7",
"volume-title": "Choreographing Empathy: Kinesthesia in Performance",
"author": "Foster",
"year": "2011"
},
{
"key": "S0149767717000183_ref14",
"volume-title": "A Brief History of Neoliberalism",
"author": "Harvey",
"year": "2007"
},
{
"key": "S0149767717000183_ref27",
"unstructured": "Quinlan Meghan . 2016. “Gaga as Politics: A Case Study of Contemporary Dance Training.” PhD diss., University of California, Riverside."
},
{
"key": "S0149767717000183_ref11",
"first-page": "xiii",
"volume-title": "Taken by Surprise: A Dance Improvisation Reader",
"author": "Gere",
"year": "2003"
},
{
"key": "S0149767717000183_ref13",
"volume-title": "Declaration",
"author": "Hardt",
"year": "2012"
},
{
"key": "S0149767717000183_ref29",
"doi-asserted-by": "publisher",
"DOI": "10.1057/9780230236844_9"
},
{
"key": "S0149767717000183_ref5",
"doi-asserted-by": "publisher",
"DOI": "10.1057/9780230236844_6"
},
{
"key": "S0149767717000183_ref28",
"doi-asserted-by": "publisher",
"DOI": "10.1017/S0149767700000528"
},
{
"key": "S0149767717000183_ref12",
"doi-asserted-by": "publisher",
"DOI": "10.3998/mpub.287881"
},
{
"key": "S0149767717000183_ref18",
"first-page": "135",
"volume-title": "Taken by Surprise: A Dance Improvisation Reader",
"author": "Marks",
"year": "2003"
},
{
"key": "S0149767717000183_ref3",
"doi-asserted-by": "crossref",
"volume-title": "Bodies That Matter: On the Discursive Limits of Sex",
"author": "Butler",
"year": "2011",
"DOI": "10.4324/9780203828274"
},
{
"key": "S0149767717000183_ref32",
"volume-title": "Choreographing Difference: The Body and Identity in Contemporary Dance",
"author": "Albright",
"year": "1997"
},
{
"key": "S0149767717000183_ref16",
"doi-asserted-by": "publisher",
"DOI": "10.1017/S0149767714000163"
},
{
"key": "S0149767717000183_ref15",
"doi-asserted-by": "publisher",
"DOI": "10.2307/1477803"
},
{
"key": "S0149767717000183_ref21",
"first-page": "455",
"volume-title": "Incorporations",
"author": "Mauss",
"year": "1992"
},
{
"key": "S0149767717000183_ref1",
"volume-title": "The Body Eclectic: Evolving Practices in Dance Training",
"author": "Bales",
"year": "2008"
},
{
"key": "S0149767717000183_ref9",
"unstructured": "Gaga Movement Ltd. 2016. Gaga People. Dancers. Accessed June 28, 2016. http://gagapeople.com/english/."
},
{
"key": "S0149767717000183_ref19",
"volume-title": "Critical Moves: Dance Studies in Theory and Politics",
"author": "Martin",
"year": "1998"
},
{
"key": "S0149767717000183_ref2",
"volume-title": "Undoing the Demos: Neoliberalism's Stealth Revolution",
"author": "Brown",
"year": "2015"
},
{
"key": "S0149767717000183_ref20",
"doi-asserted-by": "publisher",
"DOI": "10.1162/DRAM_a_00214"
},
{
"key": "S0149767717000183_ref6",
"doi-asserted-by": "publisher",
"DOI": "10.1215/01610775-2009-016"
},
{
"key": "S0149767717000183_ref23",
"doi-asserted-by": "publisher",
"DOI": "10.1093/acprof:oso/9780190201661.001.0001"
},
{
"key": "S0149767717000183_ref25",
"volume-title": "Flexible Citizenship: The Cultural Logics of Transnationality",
"author": "Ong",
"year": "1999"
}
],
"container-title": [
"Dance Research Journal"
],
"original-title": [
],
"language": "en",
"link": [
{
"URL": "https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0149767717000183",
"content-type": "unspecified",
"content-version": "vor",
"intended-application": "similarity-checking"
}
],
"deposited": {
"date-parts": [
[
2020,
10,
16
]
],
"date-time": "2020-10-16T01:00:32Z",
"timestamp": 1602810032000
},
"score": 1,
"resource": {
"primary": {
"URL": "https://www.cambridge.org/core/product/identifier/S0149767717000183/type/journal_article"
}
},
"subtitle": [
],
"short-title": [
],
"issued": {
"date-parts": [
[
2017,
8
]
]
},
"references-count": 31,
"journal-issue": {
"issue": "2",
"published-print": {
"date-parts": [
[
2017,
8
]
]
}
},
"alternative-id": [
"S0149767717000183"
],
"URL": "http://dx.doi.org/10.1017/s0149767717000183",
"relation": {
},
"ISSN": [
"0149-7677",
"1940-509X"
],
"issn-type": [
{
"value": "0149-7677",
"type": "print"
},
{
"value": "1940-509X",
"type": "electronic"
}
],
"subject": [
"Visual Arts and Performing Arts"
],
"published": {
"date-parts": [
[
2017,
8
]
]
}
}

25
dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/crossref/CrossrefMappingTest.scala
View File

@ -475,6 +475,31 @@ class CrossrefMappingTest {
}
@Test
def testConvertFromCrossRef2OafIssue(): Unit = {
val json = Source
.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/article_nojournal.json"))
.mkString
assertNotNull(json)
assertFalse(json.isEmpty);
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
assertTrue(resultList.nonEmpty)
val items = resultList.filter(p => p.isInstanceOf[Publication])
assert(items.nonEmpty)
assert(items.size == 1)
val pub: Publication = items.head.asInstanceOf[Publication]
assertNotNull(pub.getJournal.getIssnPrinted)
assertNotNull(pub.getJournal.getIssnOnline)
assertNotNull(pub.getJournal.getName)
}
@Test
def testSetDateOfAcceptanceCrossRef2Oaf(): Unit = {

2
dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/SparkBulkTagJob.java
View File

@ -5,6 +5,7 @@ import static eu.dnetlib.dhp.PropagationConstant.removeOutputDir;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.ArrayList;
import java.util.Objects;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
@ -102,6 +103,7 @@ public class SparkBulkTagJob {
ResultTagger resultTagger = new ResultTagger();
readPath(spark, inputPath, resultClazz)
.map(patchResult(), Encoders.bean(resultClazz))
.filter(Objects::nonNull)
.map(
(MapFunction<R, R>) value -> resultTagger
.enrichContextCriteria(

29
dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/eosc/DatasourceMaster.java Normal file
View File

@ -0,0 +1,29 @@
package eu.dnetlib.dhp.bulktag.eosc;
import java.io.Serializable;
/**
* @author miriam.baglioni
* @Date 21/07/22
*/
public class DatasourceMaster implements Serializable {
private String datasource;
private String master;
public String getDatasource() {
return datasource;
}
public void setDatasource(String datasource) {
this.datasource = datasource;
}
public String getMaster() {
return master;
}
public void setMaster(String master) {
this.master = master;
}
}

136
dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/eosc/ReadMasterDatasourceFromDB.java Normal file
View File

@ -0,0 +1,136 @@
package eu.dnetlib.dhp.bulktag.eosc;
import java.io.BufferedWriter;
import java.io.Closeable;
import java.io.IOException;
import java.io.OutputStreamWriter;
import java.nio.charset.StandardCharsets;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.util.Arrays;
import java.util.List;
import java.util.function.Consumer;
import java.util.function.Function;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
/**
* @author miriam.baglioni
* @Date 21/07/22
*/
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.DbClient;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.common.RelationInverse;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
public class ReadMasterDatasourceFromDB implements Closeable {
private final DbClient dbClient;
private static final Log log = LogFactory.getLog(ReadMasterDatasourceFromDB.class);
private final BufferedWriter writer;
private final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static final String QUERY = "SELECT dso.id datasource, d.id master FROM " +
"(SELECT id FROM dsm_services WHERE id like 'eosc%') dso " +
"FULL JOIN " +
"(SELECT id, duplicate FROM dsm_dedup_services WHERE duplicate like 'eosc%')d " +
"ON dso.id = d.duplicate";
public static void main(final String[] args) throws Exception {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
ReadMasterDatasourceFromDB.class
.getResourceAsStream(
"/eu/dnetlib/dhp/bulktag/datasourcemaster_parameters.json")));
parser.parseArgument(args);
final String dbUrl = parser.get("postgresUrl");
final String dbUser = parser.get("postgresUser");
final String dbPassword = parser.get("postgresPassword");
final String hdfsPath = parser.get("hdfsPath");
final String hdfsNameNode = parser.get("hdfsNameNode");
try (
final ReadMasterDatasourceFromDB rmd = new ReadMasterDatasourceFromDB(hdfsPath, hdfsNameNode, dbUrl, dbUser,
dbPassword)) {
log.info("Processing datasources...");
rmd.execute(QUERY, rmd::datasourceMasterMap);
}
}
public void execute(final String sql, final Function<ResultSet, DatasourceMaster> producer) {
dbClient.processResults(sql, rs -> writeMap(producer.apply(rs)));
}
public DatasourceMaster datasourceMasterMap(ResultSet rs) {
try {
DatasourceMaster dm = new DatasourceMaster();
String datasource = rs.getString("datasource");
dm.setDatasource(datasource);
String master = rs.getString("master");
if (StringUtils.isNotBlank(master))
dm.setMaster(OafMapperUtils.createOpenaireId(10, master, true));
else
dm.setMaster(OafMapperUtils.createOpenaireId(10, datasource, true));
return dm;
} catch (final SQLException e) {
throw new RuntimeException(e);
}
}
@Override
public void close() throws IOException {
dbClient.close();
writer.close();
}
public ReadMasterDatasourceFromDB(
final String hdfsPath, String hdfsNameNode, final String dbUrl, final String dbUser, final String dbPassword)
throws IOException {
this.dbClient = new DbClient(dbUrl, dbUser, dbPassword);
Configuration conf = new Configuration();
conf.set("fs.defaultFS", hdfsNameNode);
FileSystem fileSystem = FileSystem.get(conf);
Path hdfsWritePath = new Path(hdfsPath);
FSDataOutputStream fsDataOutputStream = null;
if (fileSystem.exists(hdfsWritePath)) {
fsDataOutputStream = fileSystem.append(hdfsWritePath);
} else {
fsDataOutputStream = fileSystem.create(hdfsWritePath);
}
this.writer = new BufferedWriter(new OutputStreamWriter(fsDataOutputStream, StandardCharsets.UTF_8));
}
protected void writeMap(final DatasourceMaster dm) {
try {
writer.write(OBJECT_MAPPER.writeValueAsString(dm));
writer.newLine();
} catch (final IOException e) {
throw new RuntimeException(e);
}
}
}

170
dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/eosc/SparkEoscBulkTag.java Normal file
View File

@ -0,0 +1,170 @@
package eu.dnetlib.dhp.bulktag.eosc;
import static eu.dnetlib.dhp.PropagationConstant.readPath;
import static eu.dnetlib.dhp.PropagationConstant.removeOutputDir;
import static eu.dnetlib.dhp.bulktag.community.TaggingConstants.*;
import static eu.dnetlib.dhp.bulktag.community.TaggingConstants.TAGGING_TRUST;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import static eu.dnetlib.dhp.schema.common.ModelConstants.DNET_PROVENANCE_ACTIONS;
import java.io.Serializable;
import java.util.*;
import java.util.stream.Collectors;
import javax.print.attribute.DocAttributeSet;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.ForeachFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.google.gson.Gson;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.bulktag.SparkBulkTagJob;
import eu.dnetlib.dhp.bulktag.community.*;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
/**
* @author miriam.baglioni
* @Date 21/07/22
*/
public class SparkEoscBulkTag implements Serializable {
private static final Logger log = LoggerFactory.getLogger(SparkEoscBulkTag.class);
public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
SparkEoscBulkTag.class
.getResourceAsStream(
"/eu/dnetlib/dhp/bulktag/input_eosc_bulkTag_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String inputPath = parser.get("sourcePath");
log.info("inputPath: {}", inputPath);
final String workingPath = parser.get("workingPath");
log.info("workingPath: {}", workingPath);
String datasourceMapPath = parser.get("datasourceMapPath");
log.info("datasourceMapPath: {}", datasourceMapPath);
final String resultClassName = parser.get("resultTableName");
log.info("resultTableName: {}", resultClassName);
Class<? extends Result> resultClazz = (Class<? extends Result>) Class.forName(resultClassName);
SparkConf conf = new SparkConf();
CommunityConfiguration cc;
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
removeOutputDir(spark, workingPath);
execBulkTag(spark, inputPath, workingPath, datasourceMapPath, resultClazz);
});
}
private static <R extends Result> void execBulkTag(
SparkSession spark,
String inputPath,
String workingPath,
String datasourceMapPath,
Class<R> resultClazz) {
List<String> hostedByList = readPath(spark, datasourceMapPath, DatasourceMaster.class)
.map((MapFunction<DatasourceMaster, String>) dm -> dm.getMaster(), Encoders.STRING())
.collectAsList();
readPath(spark, inputPath, resultClazz)
.map(patchResult(), Encoders.bean(resultClazz))
.filter(Objects::nonNull)
.map(
(MapFunction<R, R>) value -> enrich(value, hostedByList),
Encoders.bean(resultClazz))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingPath);
readPath(spark, workingPath, resultClazz)
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(inputPath);
}
private static <R extends Result> R enrich(R value, List<String> hostedByList) {
if (value
.getInstance()
.stream()
.anyMatch(
i -> (hostedByList.contains(i.getHostedby().getKey())) ||
(value.getEoscifguidelines() != null && value.getEoscifguidelines().size() > 0))
&&
!value.getContext().stream().anyMatch(c -> c.getId().equals("eosc"))) {
Context context = new Context();
context.setId("eosc");
context
.setDataInfo(
Arrays
.asList(
OafMapperUtils
.dataInfo(
false, BULKTAG_DATA_INFO_TYPE, true, false,
OafMapperUtils
.qualifier(
CLASS_ID_DATASOURCE, CLASS_NAME_BULKTAG_DATASOURCE,
DNET_PROVENANCE_ACTIONS, DNET_PROVENANCE_ACTIONS),
TAGGING_TRUST)));
value.getContext().add(context);
}
return value;
}
public static <R> Dataset<R> readPath(
SparkSession spark, String inputPath, Class<R> clazz) {
return spark
.read()
.textFile(inputPath)
.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
}
// TODO remove this hack as soon as the values fixed by this method will be provided as NON null
private static <R extends Result> MapFunction<R, R> patchResult() {
return r -> {
if (r.getDataInfo().getDeletedbyinference() == null) {
r.getDataInfo().setDeletedbyinference(false);
}
if (r.getContext() == null) {
r.setContext(new ArrayList<>());
}
return r;
};
}
}

105
dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/SparkEoscTag.java → dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/eosc/SparkEoscTag.java
View File

@ -1,13 +1,10 @@
package eu.dnetlib.dhp.bulktag;
package eu.dnetlib.dhp.bulktag.eosc;
import static eu.dnetlib.dhp.PropagationConstant.readPath;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.*;
import java.util.function.Function;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
@ -21,35 +18,11 @@ import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
public class SparkEoscTag {
private static final Logger log = LoggerFactory.getLogger(SparkEoscTag.class);
public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
public static final Qualifier EOSC_QUALIFIER = OafMapperUtils
.qualifier(
"EOSC",
"European Open Science Cloud",
ModelConstants.DNET_SUBJECT_TYPOLOGIES, ModelConstants.DNET_SUBJECT_TYPOLOGIES);
public static final DataInfo EOSC_DATAINFO = OafMapperUtils
.dataInfo(
false, "propagation", true, false,
OafMapperUtils
.qualifier(
"propagation:subject", "Inferred by OpenAIRE",
ModelConstants.DNET_PROVENANCE_ACTIONS, ModelConstants.DNET_PROVENANCE_ACTIONS),
"0.9");
public final static StructuredProperty EOSC_NOTEBOOK = OafMapperUtils
.structuredProperty(
"EOSC::Jupyter Notebook", EOSC_QUALIFIER, EOSC_DATAINFO);
public final static StructuredProperty EOSC_GALAXY = OafMapperUtils
.structuredProperty(
"EOSC::Galaxy Workflow", EOSC_QUALIFIER, EOSC_DATAINFO);
public final static StructuredProperty EOSC_TWITTER = OafMapperUtils
.structuredProperty(
"EOSC::Twitter Data", EOSC_QUALIFIER, EOSC_DATAINFO);
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
@ -84,29 +57,35 @@ public class SparkEoscTag {
});
}
public static EoscIfGuidelines newInstance(String code, String label, String url, String semantics) {
EoscIfGuidelines eig = new EoscIfGuidelines();
eig.setCode(code);
eig.setLabel(label);
eig.setUrl(url);
eig.setSemanticRelation(semantics);
return eig;
}
private static void execEoscTag(SparkSession spark, String inputPath, String workingPath) {
readPath(spark, inputPath + "/software", Software.class)
.map((MapFunction<Software, Software>) s -> {
List<StructuredProperty> sbject;
if (!Optional.ofNullable(s.getSubject()).isPresent())
s.setSubject(new ArrayList<>());
sbject = s.getSubject();
if (containsCriteriaNotebook(s)) {
sbject.add(EOSC_NOTEBOOK);
if (sbject.stream().anyMatch(sb -> sb.getValue().equals("EOSC Jupyter Notebook"))) {
sbject = sbject.stream().map(sb -> {
if (sb.getValue().equals("EOSC Jupyter Notebook")) {
return null;
}
return sb;
}).filter(Objects::nonNull).collect(Collectors.toList());
s.setSubject(sbject);
}
if (!Optional.ofNullable(s.getEoscifguidelines()).isPresent())
s.setEoscifguidelines(new ArrayList<>());
addEIG(
s.getEoscifguidelines(), "EOSC::Jupyter Notebook", "EOSC::Jupyter Notebook", "",
"compliesWith");
}
if (containsCriteriaGalaxy(s)) {
sbject.add(EOSC_GALAXY);
if (!Optional.ofNullable(s.getEoscifguidelines()).isPresent())
s.setEoscifguidelines(new ArrayList<>());
addEIG(
s.getEoscifguidelines(), "EOSC::Galaxy Workflow", "EOSC::Galaxy Workflow", "", "compliesWith");
}
return s;
}, Encoders.bean(Software.class))
@ -123,15 +102,17 @@ public class SparkEoscTag {
readPath(spark, inputPath + "/otherresearchproduct", OtherResearchProduct.class)
.map((MapFunction<OtherResearchProduct, OtherResearchProduct>) orp -> {
List<StructuredProperty> sbject;
if (!Optional.ofNullable(orp.getSubject()).isPresent())
orp.setSubject(new ArrayList<>());
sbject = orp.getSubject();
if (!Optional.ofNullable(orp.getEoscifguidelines()).isPresent())
orp.setEoscifguidelines(new ArrayList<>());
if (containsCriteriaGalaxy(orp)) {
sbject.add(EOSC_GALAXY);
addEIG(
orp.getEoscifguidelines(), "EOSC::Galaxy Workflow", "EOSC::Galaxy Workflow", "",
"compliesWith");
}
if (containscriteriaTwitter(orp)) {
sbject.add(EOSC_TWITTER);
addEIG(orp.getEoscifguidelines(), "EOSC::Twitter Data", "EOSC::Twitter Data", "", "compliesWith");
}
return orp;
}, Encoders.bean(OtherResearchProduct.class))
@ -148,12 +129,11 @@ public class SparkEoscTag {
readPath(spark, inputPath + "/dataset", Dataset.class)
.map((MapFunction<Dataset, Dataset>) d -> {
List<StructuredProperty> sbject;
if (!Optional.ofNullable(d.getSubject()).isPresent())
d.setSubject(new ArrayList<>());
sbject = d.getSubject();
if (!Optional.ofNullable(d.getEoscifguidelines()).isPresent())
d.setEoscifguidelines(new ArrayList<>());
if (containscriteriaTwitter(d)) {
sbject.add(EOSC_TWITTER);
addEIG(d.getEoscifguidelines(), "EOSC::Twitter Data", "EOSC::Twitter Data", "", "compliesWith");
}
return d;
}, Encoders.bean(Dataset.class))
@ -169,6 +149,12 @@ public class SparkEoscTag {
.json(inputPath + "/dataset");
}
private static void addEIG(List<EoscIfGuidelines> eoscifguidelines, String code, String label, String url,
String sem) {
if (!eoscifguidelines.stream().anyMatch(eig -> eig.getCode().equals(code)))
eoscifguidelines.add(newInstance(code, label, url, sem));
}
private static boolean containscriteriaTwitter(Result r) {
Set<String> words = getWordsSP(r.getTitle());
words.addAll(getWordsF(r.getDescription()));
@ -212,13 +198,6 @@ public class SparkEoscTag {
return false;
}
private static Set<String> getSubjects(List<StructuredProperty> s) {
Set<String> subjects = new HashSet<>();
s.stream().forEach(sbj -> subjects.addAll(Arrays.asList(sbj.getValue().toLowerCase().split(" "))));
s.stream().forEach(sbj -> subjects.add(sbj.getValue().toLowerCase()));
return subjects;
}
private static Set<String> getWordsSP(List<StructuredProperty> elem) {
Set<String> words = new HashSet<>();
Optional
@ -242,9 +221,7 @@ public class SparkEoscTag {
t -> words
.addAll(
Arrays.asList(t.getValue().toLowerCase().replaceAll("[^a-zA-Z ]", "").split(" ")))));
// elem
// .forEach(
// t -> words.addAll(Arrays.asList(t.getValue().toLowerCase().replaceAll("[^a-zA-Z ]", "").split(" "))));
return words;
}

3
dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/countrypropagation/PrepareDatasourceCountryAssociation.java
View File

@ -6,6 +6,7 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.Arrays;
import java.util.List;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
@ -87,6 +88,8 @@ public class PrepareDatasourceCountryAssociation {
Dataset<Datasource> datasource = readPath(spark, inputPath + "/datasource", Datasource.class)
.filter(
(FilterFunction<Datasource>) ds -> !ds.getDataInfo().getDeletedbyinference() &&
Optional.ofNullable(ds.getDatasourcetype()).isPresent() &&
Optional.ofNullable(ds.getDatasourcetype().getClassid()).isPresent() &&
(allowedtypes.contains(ds.getDatasourcetype().getClassid()) ||
whitelist.contains(ds.getId())));

32
dhp-workflows/dhp-enrichment/src/main/resources/eu/dnetlib/dhp/bulktag/datasourcemaster_parameters.json Normal file
View File

@ -0,0 +1,32 @@
[
{
"paramName": "p",
"paramLongName": "hdfsPath",
"paramDescription": "the path where storing the sequential file",
"paramRequired": true
},
{
"paramName": "nn",
"paramLongName": "hdfsNameNode",
"paramDescription": "the name node on hdfs",
"paramRequired": true
},
{
"paramName": "pgurl",
"paramLongName": "postgresUrl",
"paramDescription": "postgres url, example: jdbc:postgresql://localhost:5432/testdb",
"paramRequired": true
},
{
"paramName": "pguser",
"paramLongName": "postgresUser",
"paramDescription": "postgres user",
"paramRequired": false
},
{
"paramName": "pgpasswd",
"paramLongName": "postgresPassword",
"paramDescription": "postgres password",
"paramRequired": false
}
]

34
dhp-workflows/dhp-enrichment/src/main/resources/eu/dnetlib/dhp/bulktag/input_eosc_bulkTag_parameters.json Normal file
View File

@ -0,0 +1,34 @@
[
{
"paramName":"s",
"paramLongName":"sourcePath",
"paramDescription": "the path of the sequencial file to read",
"paramRequired": true
},
{
"paramName": "dmp",
"paramLongName":"datasourceMapPath",
"paramDescription": "the path where the association datasource master has been stored",
"paramRequired": true
},
{
"paramName":"tn",
"paramLongName":"resultTableName",
"paramDescription": "the name of the result table we are currently working on",
"paramRequired": true
},
{
"paramName": "wp",
"paramLongName": "workingPath",
"paramDescription": "the path used to store temporary output files",
"paramRequired": true
},
{
"paramName": "ssm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "true if the spark session is managed, false otherwise",
"paramRequired": false
}
]

141
dhp-workflows/dhp-enrichment/src/main/resources/eu/dnetlib/dhp/bulktag/oozie_app/workflow.xml
View File

@ -16,6 +16,21 @@
<name>outputPath</name>
<description>the output path</description>
</property>
<property>
<name>postgresURL</name>
<description>the url of the postgress server to query</description>
</property>
<property>
<name>postgresUser</name>
<description>the username to access the postgres db</description>
</property>
<property>
<name>postgresPassword</name>
<description>the postgres password</description>
</property>
</parameters>
<global>
@ -211,7 +226,7 @@
<master>yarn-cluster</master>
<mode>cluster</mode>
<name>EOSC_tagging</name>
<class>eu.dnetlib.dhp.bulktag.SparkEoscTag</class>
<class>eu.dnetlib.dhp.bulktag.eosc.SparkEoscTag</class>
<jar>dhp-enrichment-${projectVersion}.jar</jar>
<spark-opts>
--num-executors=${sparkExecutorNumber}
@ -226,10 +241,132 @@
<arg>--sourcePath</arg><arg>${outputPath}</arg>
<arg>--workingPath</arg><arg>${workingDir}/eoscTag</arg>
</spark>
<ok to="End"/>
<ok to="eosc_get_datasource_master"/>
<error to="Kill"/>
</action>
<action name="eosc_get_datasource_master">
<java>
<main-class>eu.dnetlib.dhp.bulktag.eosc.ReadMasterDatasourceFromDB</main-class>
<arg>--hdfsPath</arg><arg>${workingDir}/datasourcemaster</arg>
<arg>--hdfsNameNode</arg><arg>${nameNode}</arg>
<arg>--postgresUrl</arg><arg>${postgresURL}</arg>
<arg>--postgresUser</arg><arg>${postgresUser}</arg>
<arg>--postgresPassword</arg><arg>${postgresPassword}</arg>
</java>
<ok to="fork_eosc_context_tag"/>
<error to="Kill"/>
</action>
<fork name="fork_eosc_context_tag">
<path start="eosc_context_tag_publication"/>
<path start="eosc_context_tag_dataset"/>
<path start="eosc_context_tag_otherresearchproduct"/>
<path start="eosc_context_tag_software"/>
</fork>
<action name="eosc_context_tag_publication">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn-cluster</master>
<mode>cluster</mode>
<name>EOSC_tagging</name>
<class>eu.dnetlib.dhp.bulktag.eosc.SparkEoscBulkTag</class>
<jar>dhp-enrichment-${projectVersion}.jar</jar>
<spark-opts>
--num-executors=${sparkExecutorNumber}
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${outputPath}/publication</arg>
<arg>--workingPath</arg><arg>${workingDir}/eoscContextTag/publication</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
<arg>--datasourceMapPath</arg><arg>${workingDir}/datasourcemaster</arg>
</spark>
<ok to="wait_eosc_context_tag"/>
<error to="Kill"/>
</action>
<action name="eosc_context_tag_dataset">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn-cluster</master>
<mode>cluster</mode>
<name>EOSC_tagging</name>
<class>eu.dnetlib.dhp.bulktag.eosc.SparkEoscBulkTag</class>
<jar>dhp-enrichment-${projectVersion}.jar</jar>
<spark-opts>
--num-executors=${sparkExecutorNumber}
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${outputPath}/dataset</arg>
<arg>--workingPath</arg><arg>${workingDir}/eoscContextTag/dataset</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
<arg>--datasourceMapPath</arg><arg>${workingDir}/datasourcemaster</arg>
</spark>
<ok to="wait_eosc_context_tag"/>
<error to="Kill"/>
</action>
<action name="eosc_context_tag_software">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn-cluster</master>
<mode>cluster</mode>
<name>EOSC_tagging</name>
<class>eu.dnetlib.dhp.bulktag.eosc.SparkEoscBulkTag</class>
<jar>dhp-enrichment-${projectVersion}.jar</jar>
<spark-opts>
--num-executors=${sparkExecutorNumber}
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${outputPath}/software</arg>
<arg>--workingPath</arg><arg>${workingDir}/eoscContextTag/software</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
<arg>--datasourceMapPath</arg><arg>${workingDir}/datasourcemaster</arg>
</spark>
<ok to="wait_eosc_context_tag"/>
<error to="Kill"/>
</action>
<action name="eosc_context_tag_otherresearchproduct">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn-cluster</master>
<mode>cluster</mode>
<name>EOSC_tagging</name>
<class>eu.dnetlib.dhp.bulktag.eosc.SparkEoscBulkTag</class>
<jar>dhp-enrichment-${projectVersion}.jar</jar>
<spark-opts>
--num-executors=${sparkExecutorNumber}
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${outputPath}/otherresearchproduct</arg>
<arg>--workingPath</arg><arg>${workingDir}/eoscContextTag/otherresearchproduct</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
<arg>--datasourceMapPath</arg><arg>${workingDir}/datasourcemaster</arg>
</spark>
<ok to="wait_eosc_context_tag"/>
<error to="Kill"/>
</action>
<join name="wait_eosc_context_tag" to="End"/>
<end name="End"/>
</workflow-app>

162
dhp-workflows/dhp-enrichment/src/test/java/eu/dnetlib/dhp/bulktag/EOSCContextTaggingTest.java Normal file
View File

@ -0,0 +1,162 @@
package eu.dnetlib.dhp.bulktag;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.List;
import org.apache.commons.io.FileUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* @author miriam.baglioni
* @Date 22/07/22
*/
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.bulktag.eosc.SparkEoscBulkTag;
import eu.dnetlib.dhp.schema.oaf.Dataset;
import eu.dnetlib.dhp.schema.oaf.OtherResearchProduct;
import eu.dnetlib.dhp.schema.oaf.Software;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
//"50|475c1990cbb2::0fecfb874d9395aa69d2f4d7cd1acbea" has instance hostedby eosc
//"50|475c1990cbb2::3185cd5d8a2b0a06bb9b23ef11748eb1" has instance hostedby eosc
//"50|475c1990cbb2::449f28eefccf9f70c04ad70d61e041c7" has two instance one hostedby eosc
//"50|475c1990cbb2::3894c94123e96df8a21249957cf160cb" has EoscTag
public class EOSCContextTaggingTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
private static final Logger log = LoggerFactory.getLogger(EOSCContextTaggingTest.class);
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files.createTempDirectory(EOSCContextTaggingTest.class.getSimpleName());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(EOSCContextTaggingTest.class.getSimpleName());
conf.setMaster("local[*]");
conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false");
conf.set("spark.sql.warehouse.dir", workingDir.toString());
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession
.builder()
.appName(EOSCTagJobTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
void EoscContextTagTest() throws Exception {
spark
.read()
.textFile(getClass().getResource("/eu/dnetlib/dhp/bulktag/eosc/dataset/dataset_10.json").getPath())
.map(
(MapFunction<String, Dataset>) value -> OBJECT_MAPPER.readValue(value, Dataset.class),
Encoders.bean(Dataset.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingDir.toString() + "/input/dataset");
SparkEoscBulkTag
.main(
new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(),
"-sourcePath",
workingDir.toString() + "/input/dataset",
"-workingPath", workingDir.toString() + "/working/dataset",
"-datasourceMapPath",
getClass()
.getResource("/eu/dnetlib/dhp/bulktag/eosc/datasourceMasterAssociation/datasourceMaster")
.getPath(),
"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Dataset"
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Dataset> tmp = sc
.textFile(workingDir.toString() + "/input/dataset")
.map(item -> OBJECT_MAPPER.readValue(item, Dataset.class));
Assertions.assertEquals(10, tmp.count());
Assertions
.assertEquals(
4,
tmp
.filter(
s -> s.getContext().stream().anyMatch(c -> c.getId().equals("eosc")))
.count());
Assertions
.assertEquals(
1,
tmp
.filter(
d -> d.getId().equals("50|475c1990cbb2::0fecfb874d9395aa69d2f4d7cd1acbea")
&&
d.getContext().stream().anyMatch(c -> c.getId().equals("eosc")))
.count());
Assertions
.assertEquals(
1,
tmp
.filter(
d -> d.getId().equals("50|475c1990cbb2::3185cd5d8a2b0a06bb9b23ef11748eb1")
&&
d.getContext().stream().anyMatch(c -> c.getId().equals("eosc")))
.count());
Assertions
.assertEquals(
1,
tmp
.filter(
d -> d.getId().equals("50|475c1990cbb2::3894c94123e96df8a21249957cf160cb")
&&
d.getContext().stream().anyMatch(c -> c.getId().equals("eosc")))
.count());
Assertions
.assertEquals(
1,
tmp
.filter(
d -> d.getId().equals("50|475c1990cbb2::3894c94123e96df8a21249957cf160cb")
&&
d.getContext().stream().anyMatch(c -> c.getId().equals("eosc")))
.count());
}
}

215
dhp-workflows/dhp-enrichment/src/test/java/eu/dnetlib/dhp/bulktag/EOSCTagJobTest.java
View File

@ -1,21 +1,18 @@
package eu.dnetlib.dhp.bulktag;
import static eu.dnetlib.dhp.bulktag.community.TaggingConstants.ZENODO_COMMUNITY_INDICATOR;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.List;
import eu.dnetlib.dhp.bulktag.eosc.SparkEoscTag;
import org.apache.commons.io.FileUtils;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
@ -126,10 +123,23 @@ public class EOSCTagJobTest {
.assertEquals(
4,
tmp
.filter(s -> s.getEoscifguidelines() != null)
.filter(
s -> s.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Jupyter Notebook")))
s -> s
.getEoscifguidelines()
.stream()
.anyMatch(eig -> eig.getCode().equals("EOSC::Jupyter Notebook")))
.count());
Assertions
.assertEquals(
1, tmp
.filter(sw -> sw.getId().equals("50|od______1582::4132f5ec9496f0d6adc7b00a50a56ff4"))
.collect()
.get(0)
.getEoscifguidelines()
.size());
Assertions
.assertEquals(
1, tmp
@ -140,6 +150,16 @@ public class EOSCTagJobTest {
.size());
Assertions
.assertTrue(
tmp
.filter(sw -> sw.getId().equals("50|od______1582::4132f5ec9496f0d6adc7b00a50a56ff4"))
.collect()
.get(0)
.getEoscifguidelines()
.stream()
.anyMatch(s -> s.getCode().equals("EOSC::Jupyter Notebook")));
Assertions
.assertFalse(
tmp
.filter(sw -> sw.getId().equals("50|od______1582::4132f5ec9496f0d6adc7b00a50a56ff4"))
.collect()
@ -166,16 +186,24 @@ public class EOSCTagJobTest {
.stream()
.anyMatch(s -> s.getValue().equals("EOSC::Jupyter Notebook")));
Assertions
.assertTrue(
tmp
.filter(sw -> sw.getId().equals("50|od______1582::501b25d420f808c8eddcd9b16e917f11"))
.collect()
.get(0)
.getEoscifguidelines() == null);
Assertions
.assertEquals(
9, tmp
8, tmp
.filter(sw -> sw.getId().equals("50|od______1582::581621232a561b7e8b4952b18b8b0e56"))
.collect()
.get(0)
.getSubject()
.size());
Assertions
.assertTrue(
.assertFalse(
tmp
.filter(sw -> sw.getId().equals("50|od______1582::581621232a561b7e8b4952b18b8b0e56"))
.collect()
@ -183,6 +211,23 @@ public class EOSCTagJobTest {
.getSubject()
.stream()
.anyMatch(s -> s.getValue().equals("EOSC::Jupyter Notebook")));
Assertions
.assertEquals(
1, tmp
.filter(sw -> sw.getId().equals("50|od______1582::581621232a561b7e8b4952b18b8b0e56"))
.collect()
.get(0)
.getEoscifguidelines()
.size());
Assertions
.assertTrue(
tmp
.filter(sw -> sw.getId().equals("50|od______1582::581621232a561b7e8b4952b18b8b0e56"))
.collect()
.get(0)
.getEoscifguidelines()
.stream()
.anyMatch(s -> s.getCode().equals("EOSC::Jupyter Notebook")));
Assertions
.assertEquals(
@ -201,17 +246,24 @@ public class EOSCTagJobTest {
.getSubject()
.stream()
.anyMatch(s -> s.getValue().equals("EOSC::Jupyter Notebook")));
Assertions
.assertTrue(
tmp
.filter(sw -> sw.getId().equals("50|od______1582::5aec1186054301b66c0c5dc35972a589"))
.collect()
.get(0)
.getEoscifguidelines() == null);
Assertions
.assertEquals(
9, tmp
8, tmp
.filter(sw -> sw.getId().equals("50|od______1582::639909adfad9d708308f2aedb733e4a0"))
.collect()
.get(0)
.getSubject()
.size());
Assertions
.assertTrue(
.assertFalse(
tmp
.filter(sw -> sw.getId().equals("50|od______1582::639909adfad9d708308f2aedb733e4a0"))
.collect()
@ -219,14 +271,31 @@ public class EOSCTagJobTest {
.getSubject()
.stream()
.anyMatch(s -> s.getValue().equals("EOSC::Jupyter Notebook")));
Assertions
.assertEquals(
1,
tmp
.filter(sw -> sw.getId().equals("50|od______1582::639909adfad9d708308f2aedb733e4a0"))
.collect()
.get(0)
.getEoscifguidelines()
.size());
Assertions
.assertTrue(
tmp
.filter(sw -> sw.getId().equals("50|od______1582::639909adfad9d708308f2aedb733e4a0"))
.collect()
.get(0)
.getEoscifguidelines()
.stream()
.anyMatch(s -> s.getCode().equals("EOSC::Jupyter Notebook")));
List<StructuredProperty> subjects = tmp
.filter(sw -> sw.getId().equals("50|od______1582::6e7a9b21a2feef45673890432af34244"))
.collect()
.get(0)
.getSubject();
Assertions.assertEquals(8, subjects.size());
Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("EOSC::Jupyter Notebook")));
Assertions.assertEquals(7, subjects.size());
Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("jupyter")));
Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("Modeling and Simulation")));
Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("structure granulaire")));
@ -250,6 +319,17 @@ public class EOSCTagJobTest {
.filter(
ds -> ds.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Jupyter Notebook")))
.count());
Assertions
.assertEquals(
0, sc
.textFile(workingDir.toString() + "/input/dataset")
.map(item -> OBJECT_MAPPER.readValue(item, Dataset.class))
.filter(
ds -> ds
.getEoscifguidelines()
.stream()
.anyMatch(eig -> eig.getCode().equals("EOSC::Jupyter Notebook")))
.count());
Assertions
.assertEquals(
@ -264,7 +344,22 @@ public class EOSCTagJobTest {
.textFile(workingDir.toString() + "/input/otherresearchproduct")
.map(item -> OBJECT_MAPPER.readValue(item, OtherResearchProduct.class))
.filter(
ds -> ds.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Jupyter Notebook")))
orp -> orp
.getSubject()
.stream()
.anyMatch(sbj -> sbj.getValue().equals("EOSC::Jupyter Notebook")))
.count());
Assertions
.assertEquals(
0, sc
.textFile(workingDir.toString() + "/input/otherresearchproduct")
.map(item -> OBJECT_MAPPER.readValue(item, OtherResearchProduct.class))
.filter(
orp -> orp
.getSubject()
.stream()
.anyMatch(eig -> eig.getValue().equals("EOSC::Jupyter Notebook")))
.count());
// spark.stop();
@ -326,22 +421,41 @@ public class EOSCTagJobTest {
Assertions
.assertEquals(
1,
0,
tmp
.filter(
s -> s.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Galaxy Workflow")))
.count());
Assertions
.assertEquals(
1,
tmp
.filter(
s -> s.getEoscifguidelines() != null)
.count());
Assertions
.assertEquals(
1,
tmp
.filter(
s -> s.getEoscifguidelines() != null)
.filter(
s -> s
.getEoscifguidelines()
.stream()
.anyMatch(eig -> eig.getCode().equals("EOSC::Galaxy Workflow")))
.count());
Assertions
.assertEquals(
2, tmp
1, tmp
.filter(sw -> sw.getId().equals("50|od______1582::4132f5ec9496f0d6adc7b00a50a56ff4"))
.collect()
.get(0)
.getSubject()
.size());
Assertions
.assertTrue(
.assertFalse(
tmp
.filter(sw -> sw.getId().equals("50|od______1582::4132f5ec9496f0d6adc7b00a50a56ff4"))
.collect()
@ -350,6 +464,24 @@ public class EOSCTagJobTest {
.stream()
.anyMatch(s -> s.getValue().equals("EOSC::Galaxy Workflow")));
Assertions
.assertEquals(
1, tmp
.filter(sw -> sw.getId().equals("50|od______1582::4132f5ec9496f0d6adc7b00a50a56ff4"))
.collect()
.get(0)
.getEoscifguidelines()
.size());
Assertions
.assertTrue(
tmp
.filter(sw -> sw.getId().equals("50|od______1582::4132f5ec9496f0d6adc7b00a50a56ff4"))
.collect()
.get(0)
.getEoscifguidelines()
.stream()
.anyMatch(eig -> eig.getCode().equals("EOSC::Galaxy Workflow")));
Assertions
.assertEquals(
5, tmp
@ -385,22 +517,34 @@ public class EOSCTagJobTest {
Assertions
.assertEquals(
1,
0,
orp
.filter(
s -> s.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Galaxy Workflow")))
.count());
orp.foreach(o -> System.out.println(OBJECT_MAPPER.writeValueAsString(o)));
Assertions
.assertEquals(
3, orp
1, orp
.filter(o -> o.getEoscifguidelines() != null)
.filter(
o -> o
.getEoscifguidelines()
.stream()
.anyMatch(eig -> eig.getCode().equals("EOSC::Galaxy Workflow")))
.count());
Assertions
.assertEquals(
2, orp
.filter(sw -> sw.getId().equals("50|od______2017::0750a4d0782265873d669520f5e33c07"))
.collect()
.get(0)
.getSubject()
.size());
Assertions
.assertTrue(
.assertFalse(
orp
.filter(sw -> sw.getId().equals("50|od______2017::0750a4d0782265873d669520f5e33c07"))
.collect()
@ -408,6 +552,23 @@ public class EOSCTagJobTest {
.getSubject()
.stream()
.anyMatch(s -> s.getValue().equals("EOSC::Galaxy Workflow")));
Assertions
.assertEquals(
1, orp
.filter(sw -> sw.getId().equals("50|od______2017::0750a4d0782265873d669520f5e33c07"))
.collect()
.get(0)
.getEoscifguidelines()
.size());
Assertions
.assertTrue(
orp
.filter(sw -> sw.getId().equals("50|od______2017::0750a4d0782265873d669520f5e33c07"))
.collect()
.get(0)
.getEoscifguidelines()
.stream()
.anyMatch(s -> s.getCode().equals("EOSC::Galaxy Workflow")));
Assertions
.assertEquals(
@ -516,10 +677,20 @@ public class EOSCTagJobTest {
Assertions
.assertEquals(
3,
0,
orp
.filter(s -> s.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Twitter Data")))
.count());
Assertions
.assertEquals(
3,
orp
.filter(
s -> s
.getEoscifguidelines()
.stream()
.anyMatch(eig -> eig.getCode().equals("EOSC::Twitter Data")))
.count());
JavaRDD<Dataset> dats = sc
.textFile(workingDir.toString() + "/input/dataset")
@ -531,7 +702,11 @@ public class EOSCTagJobTest {
.assertEquals(
3,
dats
.filter(s -> s.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Twitter Data")))
.filter(
s -> s
.getEoscifguidelines()
.stream()
.anyMatch(eig -> eig.getCode().equals("EOSC::Twitter Data")))
.count());
}

10
dhp-workflows/dhp-enrichment/src/test/resources/eu/dnetlib/dhp/bulktag/eosc/dataset/dataset_10.json Normal file
View File

File diff suppressed because one or more lines are too long

318
dhp-workflows/dhp-enrichment/src/test/resources/eu/dnetlib/dhp/bulktag/eosc/datasourceMasterAssociation/datasourceMaster Normal file
View File

@ -0,0 +1,318 @@
{"datasource":"eosc________::100percentit::100percentit.100_percent_it_trusted_cloud","master":"10|eosc________::7ef2576047f040612b983a27347471fc"}
{"datasource":"eosc________::altec::altec.space-vis_adn_service","master":"10|eosc________::2946c48bbcc514ad76bbbf727d5d8fbc"}
{"datasource":"eosc________::astron::astron.","master":"10|eosc________::acb262d4bfdeb6aa9b463a4a6d0d662a"}
{"datasource":"eosc________::athena::athena.atmo-flud","master":"10|eosc________::ac448975e1d7f8b0266c8bb3b3992029"}
{"datasource":"eosc________::athena::athena.uw-map","master":"10|eosc________::5f2a401cf8ce9dc22a3776cea519b594"}
{"datasource":"eosc________::athena::athena.verbal_aggression_analyser_va_analyser","master":"10|eosc________::8b26233e89a50e3754972b1341130494"}
{"datasource":"eosc________::authenix::authenix.authenix","master":"10|eosc________::3cd84764da5728473593a580efb29a40"}
{"datasource":"eosc________::bineo::bineo.cos4bio","master":"10|eosc________::903e0526a6e56eeaf0e4561aa862ecb8"}
{"datasource":"eosc________::blue-cloud::blue-cloud.phytoplankton_eovs","master":"10|eosc________::c2438d79b48baf817956f3856877b3b8"}
{"datasource":"eosc________::bsc-es::bsc-es.bdrc_-_barcelona_dust_regional_center","master":"10|eosc________::756664ca614118315840eb8e985e4377"}
{"datasource":"eosc________::bsc-es::bsc-es.openebench","master":"10|eosc________::69ed72b873b803feed5ba6ae47548419"}
{"datasource":"eosc________::capsh::capsh.dissemin","master":"10|eosc________::e81587742e4107ce83723df17c27cb40"}
{"datasource":"eosc________::carlzeissm::carlzeissm.aper","master":"10|eosc________::f3beb9ee5ee293b723e2edd6f990fde3"}
{"datasource":"eosc________::ccsd::ccsd.episciences","master":"10|eosc________::e1e9de0dbf4bce79c49338d7cf9327e2"}
{"datasource":"eosc________::cds::cds.simbad_simbad_astronomical_database_provides_basic_data_cross-identifications_bibliography_and_measurements_for_astronomical_objects_outside_the_solar_system","master":"10|eosc________::a1e41e71453ac32161f4ac3f5c0e0421"}
{"datasource":"eosc________::centerdata::centerdata.surveycodingsorg","master":"10|eosc________::72db73ab253727c889905da50f506d10"}
{"datasource":"eosc________::cesga::cesga.finisterrae","master":"10|eosc________::6af4303d93f72744cc4c3c815ed2c9a0"}
{"datasource":"eosc________::cesnet::cesnet.metacentrum_cloud","master":"10|eosc________::cebfaa2d0b93502d56a8fbeb6b66cfbe"}
{"datasource":"eosc________::cesnet::cesnet.object_based_storage","master":"10|eosc________::1c5b55339bb86ff997a256d42d7be4b0"}
{"datasource":"eosc________::cesnet::cesnet.umsa_-_untargeted_mass_spectrometry_data_analysis","master":"10|eosc________::d928868211759352cb1604713e0347ec"}
{"datasource":"eosc________::cessda-eric::cessda-eric.cessda_data_catalogue","master":"10|fairsharing_::936824c0191953647ec609b4f49bc964"}
{"datasource":"eosc________::cessda-eric::cessda-eric.data_management_expert_guide_dmeg","master":"10|eosc________::22c14aaf31fc64424fa97adffe6380b9"}
{"datasource":"eosc________::cessda-eric::cessda-eric.elsst__european_language_social_science_thesaurus","master":"10|eosc________::5b30e057381cf0200dc2cdc7b562f570"}
{"datasource":"eosc________::cines::cines.etdr","master":"10|eosc________::3b7f7d6aafb0154025330183d59ce670"}
{"datasource":"eosc________::clarin-eric::clarin-eric.language_resource_switchboard","master":"10|eosc________::3531aa80dbe2b1018133b510a933de40"}
{"datasource":"eosc________::clarin-eric::clarin-eric.virtual_collection_registry","master":"10|eosc________::454e4f7f9f53d9dacf9dc3ba27902f16"}
{"datasource":"eosc________::clarin-eric::clarin-eric.virtual_language_observatory","master":"10|eosc________::4db0c877190783461728c6714cb66cbc"}
{"datasource":"eosc________::cloudferro::cloudferro.data_collections_catalog","master":"10|eosc________::eba1540eb9e87231fdf366eb23d16c3a"}
{"datasource":"eosc________::cloudferro::cloudferro.data_related_services_-_eo_browser","master":"10|eosc________::c24ebda20485c08293b72561ee3c634b"}
{"datasource":"eosc________::cloudferro::cloudferro.data_related_services_-_eo_finder","master":"10|eosc________::3d68186239b6c0f0d677ff55d9b549d1"}
{"datasource":"eosc________::cloudferro::cloudferro.infrastructure","master":"10|eosc________::ac7e3c0151fa3f11d3a7739dddaa3416"}
{"datasource":"eosc________::cmcc::cmcc.enes_data_space","master":"10|eosc________::2925e4df4147819e5b5d2f886f40e3a2"}
{"datasource":"eosc________::cnb-csic::cnb-csic.3dbionotes-ws_web_application_to_annotate_biochemical_and_biomedical_information_onto_structural_models","master":"10|eosc________::77fe0a66415f2440ab60d47dcee678a5"}
{"datasource":"eosc________::cnb-csic::cnb-csic.scipioncloud","master":"10|eosc________::7f09b7fee99363813f24aca9ebdecf61"}
{"datasource":"eosc________::cnr-iia::cnr-iia.geo_dab","master":"10|eosc________::108b0148352c15ee1ce935699e09add3"}
{"datasource":"eosc________::collabwith::collabwith.collabwith_marketplace","master":"10|eosc________::894a0ffa7768b228c1b46793670c85e6"}
{"datasource":"eosc________::coronis_computing_sl::coronis_computing_sl.uw-mos","master":"10|eosc________::9cbf0a75d817e291771b8bce6440f5f4"}
{"datasource":"eosc________::coronis_computing_sl::coronis_computing_sl.vd-maps","master":"10|eosc________::b5af1514b39d8e021554a73076a694d9"}
{"datasource":"eosc________::creaf::creaf.nimmbus_geospatial_user_feedback","master":"10|eosc________::86c325db16448760b3390dda7e46631a"}
{"datasource":"eosc________::creatis::creatis.virtual_imaging_platform","master":"10|eosc________::01a45ac2677f89414af91e651735846d"}
{"datasource":"eosc________::cs_group::cs_group.ai4geo_engine","master":"10|eosc________::c61211295d27e5e08f4c64f3e3098294"}
{"datasource":"eosc________::csc-fi::csc-fi.chipster","master":"10|eosc________::61549f785a2c93939be011b0453a6981"}
{"datasource":"eosc________::csc-fi::csc-fi.cpouta","master":"10|eosc________::d71c843b4e00eff17db07bf9d10769f9"}
{"datasource":"eosc________::csc-fi::csc-fi.csc_epouta","master":"10|eosc________::4493bd6a93e5b8465fda8cf7ab2dfdea"}
{"datasource":"eosc________::csc-fi::csc-fi.rahti_container_cloud","master":"10|eosc________::cc60eb9fc76f9598ee581eff0792573b"}
{"datasource":"eosc________::cscs::cscs.object_storage","master":"10|eosc________::3da6a817fe85ef43f7d97ef07e467d45"}
{"datasource":"eosc________::csi_piemonte::csi_piemonte.nivola2","master":"10|eosc________::ac6483be3e556c8652b8595680795983"}
{"datasource":"eosc________::csic::csic.csic_cloud_infrastructure","master":"10|eosc________::05ea2eb193382e22f32b32fbe9a4d961"}
{"datasource":"eosc________::cyberbotics::cyberbotics.robotbenchmark","master":"10|eosc________::27ee094c68b7a758ca2915aca6215a1d"}
{"datasource":"eosc________::d4science::d4science.alien_and_invasive_species_vre","master":"10|eosc________::b5cff6d55dcf6c20e78a0f1f847b3005"}
{"datasource":"eosc________::d4science::d4science.rprototypinglab_virtual_research_environment","master":"10|eosc________::8073ab0dbb22dc3b9f17627a7b25903f"}
{"datasource":"eosc________::d4science::d4science.visual_media_service_vre","master":"10|eosc________::eabf459f53c2bfe6247f006fcc0f4db7"}
{"datasource":"eosc________::dariah_eric::dariah_eric.dariah-campus","master":"10|eosc________::9c63075d6642a2d269776c2b90c2f976"}
{"datasource":"eosc________::dariah_eric::dariah_eric.ssh_open_marketplace","master":"10|eosc________::91fe494a3c21805febb03353152f1212"}
{"datasource":"eosc________::datacite::datacite.datacite_doi_registration_service","master":"10|eosc________::c146a470f01ee7ded3b55acda9362e7f"}
{"datasource":"eosc________::dcc-uk::dcc-uk.dmponline","master":"10|eosc________::fe480090e0739dab86b24a11177eeffd"}
{"datasource":"eosc________::denbi::denbi.cloud","master":"10|eosc________::59399e560967488c0ae0329e0d37f5b4"}
{"datasource":"eosc________::desy::desy.pan_data","master":"10|eosc________::52008fe404bf2e939140109162f9233f"}
{"datasource":"eosc________::desy::desy.pan_faas","master":"10|eosc________::026939c4b12d7d71e2b05bc5acde804e"}
{"datasource":"eosc________::desy::desy.pan_gitlab","master":"10|eosc________::f13cefc9f3207cb82f3285b05f190f78"}
{"datasource":"eosc________::desy::desy.pan_notebook","master":"10|eosc________::500fe61cce6562797cd43797aab12be5"}
{"datasource":"eosc________::digitalglobe::digitalglobe.earthwatch","master":"10|eosc________::020d905260267066c1926f526bb86f30"}
{"datasource":"eosc________::dkrz::dkrz.enes_climate_analytics_service","master":"10|eosc________::1d7a1fea6694d15d9e67f08e1e77082b"}
{"datasource":"eosc________::doabf::doabf.operas_certification","master":"10|eosc________::79b9748edeffb872a28660a9d238dcec"}
{"datasource":"eosc________::ds-wizard::ds-wizard.data_stewardship_wizard","master":"10|eosc________::fc6bad963e15e218efc62c7befd122af"}
{"datasource":"eosc________::egi-fed::egi-fed.check-in","master":"10|eosc________::baa3c497b9499b3d8c87ea8d2b37a44f"}
{"datasource":"eosc________::egi-fed::egi-fed.cloud_compute","master":"10|eosc________::b1179384a336d409fc909fe3711d3d1f"}
{"datasource":"eosc________::egi-fed::egi-fed.cloud_container_compute","master":"10|eosc________::a66bb1ac56a3bcf2c24b0ef85ed2bdfc"}
{"datasource":"eosc________::egi-fed::egi-fed.data_transfer","master":"10|eosc________::6c0bf38e885c42161b88093517f6cd3e"}
{"datasource":"eosc________::egi-fed::egi-fed.egi_datahub","master":"10|eosc________::5a260dae80795584ac08df133adb1fad"}
{"datasource":"eosc________::egi-fed::egi-fed.fitsm_training","master":"10|eosc________::927b4455c0a21692d2a9f634bccd8309"}
{"datasource":"eosc________::egi-fed::egi-fed.high-throughput_compute","master":"10|eosc________::e27ec11ac7b7d6ffbbce668b7d1f81d5"}
{"datasource":"eosc________::egi-fed::egi-fed.iso_27001_training","master":"10|eosc________::98a6655b6421166c5c29baa2f5815de3"}
{"datasource":"eosc________::egi-fed::egi-fed.notebook","master":"10|eosc________::1d37909a6a31147a09ee9f2e579a6706"}
{"datasource":"eosc________::egi-fed::egi-fed.online_storage","master":"10|eosc________::d8b94284582d3e2185a782ae2ba42186"}
{"datasource":"eosc________::egi-fed::egi-fed.training_infrastructure","master":"10|eosc________::38cdb8e44638f2e561c466f0dd26cf96"}
{"datasource":"eosc________::egi-fed::egi-fed.workload_manager","master":"10|eosc________::ff515071cd88afb40599edcb6637f47e"}
{"datasource":"eosc________::ehri::ehri.begrenzte_flucht","master":"10|eosc________::01d1445605fc1d25e6a7f21ba995d724"}
{"datasource":"eosc________::ehri::ehri.diplomatic_reports","master":"10|eosc________::11714353d2ed069ca30b177d4b4d9e0f"}
{"datasource":"eosc________::ehri::ehri.early_holocaust_testimony","master":"10|eosc________::0a4974b0bb295b98f88cb7c793f91c17"}
{"datasource":"eosc________::ehri::ehri.ehri_document_blog","master":"10|eosc________::fb9291f8dac099986eafe957b169ed97"}
{"datasource":"eosc________::ehri::ehri.international_research_portal_for_records_related_to_nazi-era_cultural_property","master":"10|eosc________::01c5b10e57f9cbb4f3125f427375487e"}
{"datasource":"eosc________::ehri::ehri.the_ehri_portal","master":"10|eosc________::6ad4d5352fd192b5fecd76bbd7a7e8b7"}
{"datasource":"eosc________::eiscat::eiscat.eiscat_data_access_portal","master":"10|eosc________::0f06a55c8333ae4d197c1d263b2be6ba"}
{"datasource":"eosc________::elixir-italy::elixir-italy.laniakea_recas","master":"10|eosc________::01e84abe377339ea57ed521ac39130e9"}
{"datasource":"eosc________::elixir-uk::elixir-uk.cyverse_uk","master":"10|eosc________::6a6a05847befec6587bef7673112f5e5"}
{"datasource":"eosc________::elixir-uk::elixir-uk.workflowhub","master":"10|fairsharing_::c8cd63e1bf13c5016881652983fb615a"}
{"datasource":"eosc________::elsevier::elsevier.digital_commons","master":"10|eosc________::67d38b6a1f43184676b113369554676b"}
{"datasource":"eosc________::embl-ebi::embl-ebi.embassy_cloud","master":"10|eosc________::7f8b24797312b851916ee1be0f836de6"}
{"datasource":"eosc________::embl-ebi::embl-ebi.identifiersorg","master":"10|eosc________::564e9f467aad251143e12e2e6ec19768"}
{"datasource":"eosc________::embl-ebi::embl-ebi.identifiersorg_central_registry","master":"10|eosc________::441caf7eaa4a6602aceae36b2697b924"}
{"datasource":"eosc________::embl-ebi::embl-ebi.identifiersorg_resolution_services","master":"10|eosc________::8df6273a1cb2289dbbe3a4b5fe05aa53"}
{"datasource":"eosc________::emso_eric::emso_eric.emso_eric_data_portal","master":"10|eosc________::94a41630bd9ddea4a88ec0bfba1b9d95"}
{"datasource":"eosc________::enermaps::enermaps.enermaps_data_management_tool","master":"10|eosc________::11496ee8a69b4b955200da7f2c12fe3b"}
{"datasource":"eosc________::enhancer::enhancer.openrdmeu","master":"10|eosc________::04820bece2545235144903dec056bcbd"}
{"datasource":"eosc________::enhancer::enhancer.swiss_escience_grid_certificates","master":"10|eosc________::4968516eb3b1ad6d883e74a84827e963"}
{"datasource":"eosc________::eodc::eodc.data_catalogue_service","master":"10|eosc________::21c44a2b6946e02300dbe36a8edec650"}
{"datasource":"eosc________::eodc::eodc.jupyterhub_for_global_copernicus_data","master":"10|eosc________::f99ccd68bf3de6a0a3b0db3441a41bbd"}
{"datasource":"eosc________::eosc-dih::eosc-dih.piloting_and_co-design_of_the_business_pilots","master":"10|eosc________::178f3e4832afe9e477d761d2f3d95f85"}
{"datasource":"eosc________::eox::eox.edc_eoxhub_workspace","master":"10|eosc________::d71468878e069cf484fc988d276c6d9a"}
{"datasource":"eosc________::esa-int::esa-int.geoss_web_portal","master":"10|eosc________::d7bac1ce234c20e3ab43a74eefa34782"}
{"datasource":"eosc________::esrf::esrf.the_european_synchrotron_radiation_facility_data_portal","master":"10|fairsharing_::2996962656838a97af4c5f926fe6f1b0"}
{"datasource":"eosc________::ess::ess.pan-learning-org","master":"10|eosc________::1298286d3a7cc48fa525b118218c7836"}
{"datasource":"eosc________::ess_eric::ess_eric.european_social_survey_ess_as_a_service","master":"10|eosc________::faa60b95b602690861be9305812a5c07"}
{"datasource":"eosc________::eudat::eudat.b2access","master":"10|eosc________::4dee0695b946b545dc8d52c56598fbbf"}
{"datasource":"eosc________::eudat::eudat.b2drop","master":"10|eosc________::4c6a514f1392ac1d159214e61785849a"}
{"datasource":"eosc________::eudat::eudat.b2find","master":"10|eosc________::6069f46dfcc89ccf8043581c9034558e"}
{"datasource":"eosc________::eudat::eudat.b2handle","master":"10|eosc________::a23be7f6265fd1ad957eed16b5c8bdc4"}
{"datasource":"eosc________::eudat::eudat.b2note","master":"10|eosc________::dfd1d6816b4182e25e84f6cf10d108ed"}
{"datasource":"eosc________::eudat::eudat.b2safe","master":"10|re3data_____::a632666349a0bb9a36096c9e152d34cc"}
{"datasource":"eosc________::eudat::eudat.b2share","master":"10|eosc________::f959324bdb00f052d547b95da205062f"}
{"datasource":"eosc________::eurac::eurac.edp-portal_-_metadata_catalogue_of_eurac_research","master":"10|eosc________::274d73061a925a29d8743b3e1022d0dc"}
{"datasource":"eosc________::europeana::europeana.europeana_apis","master":"10|eosc________::91de8c90ebde3dc1c8d41f339fe3fac7"}
{"datasource":"eosc________::exoscale::exoscale.european_cloud_hosting","master":"10|eosc________::12b7e6fef784084b817a42f2990fe3f2"}
{"datasource":"eosc________::expertai::expertai.document_enrichment_api","master":"10|eosc________::6812b902471f12506c8e6441195aff57"}
{"datasource":"eosc________::expertai::expertai.recommender_api","master":"10|eosc________::c40634543c1217686f0a8f5e8592d100"}
{"datasource":"eosc________::expertai::expertai.search_api","master":"10|eosc________::79440bc8082949f56cbabef796cec7f1"}
{"datasource":"eosc________::fairdi::fairdi.nomad_repository","master":"10|eosc________::b9000c95a6fde9930ae74f4071e14cb2"}
{"datasource":"eosc________::figshare::figshare.figshare","master":"10|eosc________::5e6bd062c6b85e2d176b2e61636b8971"}
{"datasource":"eosc________::forschungsdaten::forschungsdaten.forschungsdateninfo","master":"10|eosc________::c9185fdb68af7d515e56054da546bc94"}
{"datasource":"eosc________::forth::forth.openbioeu","master":"10|eosc________::2db71171816e994877fb960b9fcd89f2"}
{"datasource":"eosc________::fssda::fssda.data_service_portal_aila","master":"10|eosc________::ef1f75ea6d244563bc6cfb0c3d3affa4"}
{"datasource":"eosc________::fssda::fssda.kuha2_metadata_server","master":"10|eosc________::b6af28d7c292dbbe816cd0d6a9a66f16"}
{"datasource":"eosc________::gbif-es::gbif-es.collections_registry","master":"10|eosc________::ac6da0cfbd07f8605c57a799c41dc947"}
{"datasource":"eosc________::gbif-es::gbif-es.e-Learning_platform","master":"10|eosc________::9059ca88ca8292881ffba9ad8d943d04"}
{"datasource":"eosc________::gbif-es::gbif-es.images_portal","master":"10|eosc________::6991e5dd230956156129669934798cd8"}
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{"datasource":"eosc________::seadatanet::seadatanet.european_directory_of_marine_environmental_data_edmed","master":"10|eosc________::d79706389f0b864306feb47aac1f5766"}
{"datasource":"eosc________::seadatanet::seadatanet.european_directory_of_marine_environmental_research_projects","master":"10|eosc________::baa9d2d6cdd8507fcbf76242e4c25d76"}
{"datasource":"eosc________::seadatanet::seadatanet.european_directory_of_marine_organisations_edmo","master":"10|eosc________::5d23c66c26e0df209fc415c1e9ad0316"}
{"datasource":"eosc________::seadatanet::seadatanet.european_directory_of_the_cruise_summary_reports_csr","master":"10|eosc________::fd70912c66037dc11f710587e281eeaf"}
{"datasource":"eosc________::seadatanet::seadatanet.european_directory_of_the_initial_ocean-observing_systems_edios","master":"10|eosc________::846016e987d1feaf2a36083f88dba1f2"}
{"datasource":"eosc________::seadatanet::seadatanet.seadatanet_cdi","master":"10|eosc________::36cd158d6b1bbdbfb443c68b8da00335"}
{"datasource":"eosc________::seadatanet::seadatanet.vocabulary_services_-_underpinned_by_the_nerc_vocabulary_server_nvs","master":"10|eosc________::4416d18ec7a57e553979fbfa4d862483"}
{"datasource":"eosc________::sinergise::sinergise.sentinel_hub","master":"10|eosc________::d36ae944fa207461bcb7b2b3a6c94de8"}
{"datasource":"eosc________::sixsq::sixsq.nuvla_multi-cloud_application_management_platform","master":"10|eosc________::38438cc3190a3815359efb53b9dd98eb"}
{"datasource":"eosc________::sks::sks.digital_production_for_conferences_workshops_roundtables_and_other_academic_and_professional_events","master":"10|eosc________::f6b51bef4a5f1478e980673339f2b2f3"}
{"datasource":"eosc________::smartsmear::smartsmear.smartsmear","master":"10|eosc________::d17a9325ca64ffad59e04659ed5404f7"}
{"datasource":"eosc________::sobigdata::sobigdata.tagme","master":"10|eosc________::0c3b8b80d9d6d38effd28bfa6a140a12"}
{"datasource":"eosc________::suite5::suite5.furniture_enterprise_analytics","master":"10|eosc________::29ed60070bd91bdc19c9f278b104465c"}
{"datasource":"eosc________::switch::switch.switchengines","master":"10|eosc________::d4143918a810115206640cfeb11e0ba6"}
{"datasource":"eosc________::t-systems::t-systems.open_telekom_cloud","master":"10|eosc________::c489ef6564a47922359f7b833919d642"}
{"datasource":"eosc________::terradue::terradue.eo_services_for_earthquake_response_and_landslides_analysis","master":"10|eosc________::ab3140d145deb5fdb02eeefbc5ebc471"}
{"datasource":"eosc________::tib::tib.open_research_knowledge_graph_orkg","master":"10|eosc________::ed6bd695c7a99297f360bc2fc915be90"}
{"datasource":"eosc________::ubora::ubora.ubora","master":"10|eosc________::bacf05aff1c6dcf3133a0352d5eb14c4"}
{"datasource":"eosc________::ubora::ubora.ubora_e-platform","master":"10|eosc________::947fde33605ba61216a07135ee1551f2"}
{"datasource":"eosc________::ugr-es::ugr-es.glacier_lagoons_of_sierra_nevada","master":"10|eosc________::8a966c0efca298ad5ec130d323c29935"}
{"datasource":"eosc________::uit::uit.dataverseno","master":"10|eosc________::92b76aa81a5b8443fcf17d3ae3c34211"}
{"datasource":"eosc________::uit::uit.the_troms_repository_of_language_and_linguistics_trolling","master":"10|fairsharing_::a36b0dcd1e6384abc0e1867860ad3ee3"}
{"datasource":"eosc________::ukaea::ukaea.prominence","master":"10|eosc________::06ce999c7cf77ea5a65f87bb563cd625"}
{"datasource":"eosc________::ukri_-_stfc::ukri_-_stfc.cvmfs_test","master":"10|eosc________::53aaa0a24d0edc47c23e722135c29dde"}
{"datasource":"eosc________::ukri_-_stfc::ukri_-_stfc.rucio","master":"10|eosc________::c19a8251c6bf563365c555572ace903e"}
{"datasource":"eosc________::uni-freiburg::uni-freiburg.european_galaxy_server","master":"10|eosc________::cc00fc2385475b80accec001dfb85efb"}
{"datasource":"eosc________::unibo::unibo.opencitations","master":"10|eosc________::573c29ecaf76ab961743bfc8a7d911ec"}
{"datasource":"eosc________::unifl::unifl.snap4city","master":"10|eosc________::9a55c40c3c082b7a8352ecbc56a87996"}
{"datasource":"eosc________::unige::unige.astronomical_online_data_analysis_astrooda","master":"10|eosc________::63f6119d3170cccf979daada3c5b524e"}
{"datasource":"eosc________::unitartu::unitartu.ut.rocket","master":"10|eosc________::da3450589a9d56212963b20cf729974c"}
{"datasource":"eosc________::upv-es::upv-es.lemonade","master":"10|eosc________::afdd227beada491f77d7944d7a0eafc9"}
{"datasource":"eosc________::vamdc::vamdc.portal","master":"10|eosc________::4dab2bb6e9a9ad223cd63c62c2ea804e"}
{"datasource":"eosc________::vamdc::vamdc.query_store","master":"10|eosc________::33f18bfe544c3c84ac28be6a3292d166"}
{"datasource":"eosc________::vamdc::vamdc.species_database","master":"10|eosc________::ae3587682dec5663a1b3b625036d15d0"}
{"datasource":"eosc________::vilnius-university::vilnius-university.the_national_open_access_research_data_archive_midas","master":"10|eosc________::4987ee0d071f68cf88f6b1a834b6733f"}
{"datasource":"eosc________::wenmr::wenmr.amber-based_portal_server_for_nmr_structures_amps-nmr","master":"10|eosc________::c6cca9747ef3ce296bd626bcbc4e480a"}
{"datasource":"eosc________::wenmr::wenmr.disvis_web_portal","master":"10|eosc________::2539ec693b683284c4e243b969ae3fc0"}
{"datasource":"eosc________::wenmr::wenmr.fanten_finding_anisotropy_tensor","master":"10|eosc________::99c793e3f3b856c48eaaa36682038b28"}
{"datasource":"eosc________::wenmr::wenmr.haddock24_web_portal","master":"10|eosc________::0f198f6a0885105809f420be23614be3"}
{"datasource":"eosc________::wenmr::wenmr.metalpdb","master":"10|eosc________::84676bc3d2ce17de70309dc58f428296"}
{"datasource":"eosc________::wenmr::wenmr.pdb-tools_web","master":"10|eosc________::b37eed45624ac30f3476f71640e59a61"}
{"datasource":"eosc________::wenmr::wenmr.powerfit_web_portal","master":"10|eosc________::93d4d621ed1da378c0e7dc891cefc007"}
{"datasource":"eosc________::wenmr::wenmr.spoton","master":"10|eosc________::76e7e0552f9c6b89db94b31ddc366b9f"}

6
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/community/SparkPrepareResultProject.java
View File

@ -10,6 +10,7 @@ import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
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.api.java.function.MapGroupsFunction;
import org.apache.spark.sql.Dataset;
@ -81,8 +82,9 @@ public class SparkPrepareResultProject implements Serializable {
Dataset<Relation> relation = Utils
.readPath(spark, inputPath + "/relation", Relation.class)
.filter(
"dataInfo.deletedbyinference = false and lower(relClass) = '"
+ ModelConstants.IS_PRODUCED_BY.toLowerCase() + "'");
(FilterFunction<Relation>) r -> !r.getDataInfo().getDeletedbyinference() &&
r.getRelClass().equalsIgnoreCase(ModelConstants.IS_PRODUCED_BY));
Dataset<eu.dnetlib.dhp.schema.oaf.Project> projects = Utils
.readPath(spark, inputPath + "/project", eu.dnetlib.dhp.schema.oaf.Project.class);

109
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/funderresults/SparkDumpFunderResults.java
View File

@ -7,17 +7,22 @@ import java.io.Serializable;
import java.util.List;
import java.util.Objects;
import java.util.Optional;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.ForeachFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.*;
import org.jetbrains.annotations.NotNull;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.oa.graph.dump.Utils;
import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityResult;
import eu.dnetlib.dhp.schema.dump.oaf.community.Funder;
import eu.dnetlib.dhp.schema.dump.oaf.community.Project;
/**
@ -33,87 +38,83 @@ public class SparkDumpFunderResults implements Serializable {
SparkDumpFunderResults.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/graph/dump/funder_result_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String inputPath = parser.get("sourcePath");
log.info("inputPath: {}", inputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final String graphPath = parser.get("graphPath");
log.info("relationPath: {}", graphPath);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
Utils.removeOutputDir(spark, outputPath);
writeResultProjectList(spark, inputPath, outputPath, graphPath);
writeResultProjectList(spark, inputPath, outputPath);
});
}
private static void writeResultProjectList(SparkSession spark, String inputPath, String outputPath,
String graphPath) {
Dataset<eu.dnetlib.dhp.schema.oaf.Project> project = Utils
.readPath(spark, graphPath + "/project", eu.dnetlib.dhp.schema.oaf.Project.class);
private static void writeResultProjectList(SparkSession spark, String inputPath, String outputPath) {
Dataset<CommunityResult> result = Utils
.readPath(spark, inputPath + "/publication", CommunityResult.class)
.union(Utils.readPath(spark, inputPath + "/dataset", CommunityResult.class))
.union(Utils.readPath(spark, inputPath + "/orp", CommunityResult.class))
.union(Utils.readPath(spark, inputPath + "/otherresearchproduct", CommunityResult.class))
.union(Utils.readPath(spark, inputPath + "/software", CommunityResult.class));
List<String> funderList = project
.select("id")
.map((MapFunction<Row, String>) value -> value.getString(0).substring(0, 15), Encoders.STRING())
.distinct()
.collectAsList();
log.info("Number of result {}", result.count());
Dataset<String> tmp = result
.flatMap((FlatMapFunction<CommunityResult, String>) cr -> cr.getProjects().stream().map(p -> {
return getFunderName(p);
}).collect(Collectors.toList()).iterator(), Encoders.STRING())
.distinct();
List<String> funderList = tmp.collectAsList();
funderList.forEach(funder -> {
String fundernsp = funder.substring(3);
String funderdump;
if (fundernsp.startsWith("corda")) {
funderdump = "EC_";
if (fundernsp.endsWith("h2020")) {
funderdump += "H2020";
} else {
funderdump += "FP7";
}
} else {
funderdump = fundernsp.substring(0, fundernsp.indexOf("_")).toUpperCase();
}
writeFunderResult(funder, result, outputPath, funderdump);
dumpResults(funder, result, outputPath);
});
}
private static void dumpResults(String nsp, Dataset<CommunityResult> results, String outputPath,
String funderName) {
@NotNull
private static String getFunderName(Project p) {
Optional<Funder> ofunder = Optional.ofNullable(p.getFunder());
if (ofunder.isPresent()) {
String fName = ofunder.get().getShortName();
if (fName.equalsIgnoreCase("ec")) {
fName += "_" + ofunder.get().getFundingStream();
}
return fName;
} else {
String fName = p.getId().substring(3, p.getId().indexOf("_")).toUpperCase();
if (fName.equalsIgnoreCase("ec")) {
if (p.getId().contains("h2020")) {
fName += "_H2020";
} else {
fName += "_FP7";
}
} else if (fName.equalsIgnoreCase("conicytf")) {
fName = "CONICYT";
} else if (fName.equalsIgnoreCase("dfgf")) {
fName = "DFG";
} else if (fName.equalsIgnoreCase("tubitakf")) {
fName = "TUBITAK";
} else if (fName.equalsIgnoreCase("euenvagency")) {
fName = "EEA";
}
return fName;
}
}
private static void dumpResults(String funder, Dataset<CommunityResult> results, String outputPath) {
results.map((MapFunction<CommunityResult, CommunityResult>) r -> {
if (!Optional.ofNullable(r.getProjects()).isPresent()) {
return null;
}
for (Project p : r.getProjects()) {
if (p.getId().startsWith(nsp)) {
if (nsp.startsWith("40|irb")) {
if (p.getFunder().getShortName().equals(funderName))
return r;
else
return null;
}
String fName = getFunderName(p);
if (fName.equalsIgnoreCase(funder)) {
return r;
}
}
@ -123,18 +124,6 @@ public class SparkDumpFunderResults implements Serializable {
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath + "/" + funderName);
.json(outputPath + "/" + funder);
}
private static void writeFunderResult(String funder, Dataset<CommunityResult> results, String outputPath,
String funderDump) {
if (funder.startsWith("40|irb")) {
dumpResults(funder, results, outputPath, "HRZZ");
dumpResults(funder, results, outputPath, "MZOS");
} else
dumpResults(funder, results, outputPath, funderDump);
}
}

66
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/funderresults/SparkResultLinkedToProject.java
View File

@ -5,9 +5,12 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;
import java.util.Optional;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.MapGroupsFunction;
import org.apache.spark.sql.Dataset;
@ -18,11 +21,18 @@ import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.oa.graph.dump.Constants;
import eu.dnetlib.dhp.oa.graph.dump.DumpProducts;
import eu.dnetlib.dhp.oa.graph.dump.ResultMapper;
import eu.dnetlib.dhp.oa.graph.dump.Utils;
import eu.dnetlib.dhp.oa.graph.dump.community.CommunityMap;
import eu.dnetlib.dhp.oa.graph.dump.community.ResultProject;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityResult;
import eu.dnetlib.dhp.schema.oaf.Project;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.schema.oaf.Result;
import scala.Tuple2;
/**
* Selects the results linked to projects. Only for these results the dump will be performed.
@ -58,8 +68,10 @@ public class SparkResultLinkedToProject implements Serializable {
final String resultClassName = parser.get("resultTableName");
log.info("resultTableName: {}", resultClassName);
final String graphPath = parser.get("graphPath");
log.info("graphPath: {}", graphPath);
final String resultProjectsPath = parser.get("graphPath");
log.info("graphPath: {}", resultProjectsPath);
String communityMapPath = parser.get("communityMapPath");
@SuppressWarnings("unchecked")
Class<? extends Result> inputClazz = (Class<? extends Result>) Class.forName(resultClassName);
@ -70,43 +82,33 @@ public class SparkResultLinkedToProject implements Serializable {
isSparkSessionManaged,
spark -> {
Utils.removeOutputDir(spark, outputPath);
writeResultsLinkedToProjects(spark, inputClazz, inputPath, outputPath, graphPath);
writeResultsLinkedToProjects(
communityMapPath, spark, inputClazz, inputPath, outputPath, resultProjectsPath);
});
}
private static <R extends Result> void writeResultsLinkedToProjects(SparkSession spark, Class<R> inputClazz,
String inputPath, String outputPath, String graphPath) {
private static <R extends Result> void writeResultsLinkedToProjects(String communityMapPath, SparkSession spark,
Class<R> inputClazz,
String inputPath, String outputPath, String resultProjectsPath) {
Dataset<R> results = Utils
.readPath(spark, inputPath, inputClazz)
.filter("dataInfo.deletedbyinference = false and datainfo.invisible = false");
Dataset<Relation> relations = Utils
.readPath(spark, graphPath + "/relation", Relation.class)
.filter(
"dataInfo.deletedbyinference = false and lower(relClass) = '"
+ ModelConstants.IS_PRODUCED_BY.toLowerCase() + "'");
Dataset<Project> project = Utils.readPath(spark, graphPath + "/project", Project.class);
results.createOrReplaceTempView("result");
relations.createOrReplaceTempView("relation");
project.createOrReplaceTempView("project");
Dataset<R> tmp = spark
.sql(
"Select res.* " +
"from relation rel " +
"join result res " +
"on rel.source = res.id " +
"join project p " +
"on rel.target = p.id " +
"")
.as(Encoders.bean(inputClazz));
tmp
.groupByKey(
(MapFunction<R, String>) value -> value
.getId(),
Encoders.STRING())
.mapGroups((MapGroupsFunction<String, R, R>) (k, it) -> it.next(), Encoders.bean(inputClazz))
(FilterFunction<R>) r -> !r.getDataInfo().getDeletedbyinference() &&
!r.getDataInfo().getInvisible());
Dataset<ResultProject> resultProjectDataset = Utils
.readPath(spark, resultProjectsPath, ResultProject.class);
CommunityMap communityMap = Utils.getCommunityMap(spark, communityMapPath);
results
.joinWith(resultProjectDataset, results.col("id").equalTo(resultProjectDataset.col("resultId")))
.map((MapFunction<Tuple2<R, ResultProject>, CommunityResult>) t2 -> {
CommunityResult cr = (CommunityResult) ResultMapper
.map(
t2._1(),
communityMap, Constants.DUMPTYPE.FUNDER.getType());
cr.setProjects(t2._2().getProjectsList());
return cr;
}, Encoders.bean(CommunityResult.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")

82
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/projectssubset/ProjectsSubsetSparkJob.java Normal file
View File

@ -0,0 +1,82 @@
package eu.dnetlib.dhp.oa.graph.dump.projectssubset;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;
import java.util.Objects;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.oa.graph.dump.Utils;
import eu.dnetlib.dhp.schema.dump.oaf.graph.Project;
import scala.Tuple2;
public class ProjectsSubsetSparkJob implements Serializable {
private static final Logger log = LoggerFactory.getLogger(ProjectsSubsetSparkJob.class);
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
ProjectsSubsetSparkJob.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/graph/dump/project_subset_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String inputPath = parser.get("sourcePath");
log.info("inputPath: {}", inputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final String projectListPath = parser.get("projectListPath");
log.info("projectListPath: {}", projectListPath);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
Utils.removeOutputDir(spark, outputPath);
getNewProjectList(spark, inputPath, outputPath, projectListPath);
});
}
private static void getNewProjectList(SparkSession spark, String inputPath, String outputPath,
String projectListPath) {
Dataset<String> projectList = spark.read().textFile(projectListPath);
Dataset<Project> projects;
projects = Utils.readPath(spark, inputPath, Project.class);
projects
.joinWith(projectList, projects.col("id").equalTo(projectList.col("value")), "left")
.map((MapFunction<Tuple2<Project, String>, Project>) t2 -> {
if (Optional.ofNullable(t2._2()).isPresent())
return null;
return t2._1();
}, Encoders.bean(Project.class))
.filter(Objects::nonNull)
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath);
Utils
.readPath(spark, outputPath, Project.class)
.map((MapFunction<Project, String>) p -> p.getId(), Encoders.STRING())
.write()
.mode(SaveMode.Append)
.option("compression", "gzip")
.text(projectListPath);
}
}

2
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/AbstractMdRecordToOafMapper.java
View File

@ -355,7 +355,7 @@ public abstract class AbstractMdRecordToOafMapper {
r.setPublisher(preparePublisher(doc, info));
r.setEmbargoenddate(prepareField(doc, "//oaf:embargoenddate", info));
r.setSource(prepareSources(doc, info));
r.setFulltext(new ArrayList<>()); // NOT PRESENT IN MDSTORES
r.setFulltext(prepareListFields(doc, "//oaf:fulltext", info));
r.setFormat(prepareFormats(doc, info));
r.setContributor(prepareContributors(doc, info));
r.setResourcetype(prepareResourceType(doc, info));

10
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/MigrateHdfsMdstoresApplication.java
View File

@ -65,11 +65,19 @@ public class MigrateHdfsMdstoresApplication extends AbstractMigrationApplication
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String mdstoreManagerUrl = parser.get("mdstoreManagerUrl");
log.info("mdstoreManagerUrl: {}", mdstoreManagerUrl);
final String mdFormat = parser.get("mdFormat");
log.info("mdFormat: {}", mdFormat);
final String mdLayout = parser.get("mdLayout");
log.info("mdLayout: {}", mdLayout);
final String mdInterpretation = parser.get("mdInterpretation");
log.info("mdInterpretation: {}", mdInterpretation);
final String hdfsPath = parser.get("hdfsPath");
log.info("hdfsPath: {}", hdfsPath);
final Set<String> paths = mdstorePaths(mdstoreManagerUrl, mdFormat, mdLayout, mdInterpretation);
@ -95,6 +103,8 @@ public class MigrateHdfsMdstoresApplication extends AbstractMigrationApplication
.filter(p -> HdfsSupport.exists(p, sc.hadoopConfiguration()))
.toArray(size -> new String[size]);
log.info("Processing existing paths {}", Arrays.asList(validPaths));
if (validPaths.length > 0) {
spark
.read()

12
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/funder_result_parameters.json
View File

@ -17,10 +17,10 @@
"paramDescription": "true if the spark session is managed, false otherwise",
"paramRequired": false
},
{
"paramName": "gp",
"paramLongName": "graphPath",
"paramDescription": "the relationPath",
"paramRequired": true
}
{
"paramName": "gp",
"paramLongName": "graphPath",
"paramDescription": "the relationPath",
"paramRequired": false
}
]

20
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/input_parameter_select_relation.json Normal file
View File

@ -0,0 +1,20 @@
[
{
"paramName":"s",
"paramLongName":"sourcePath",
"paramDescription": "the path of the sequencial file to read",
"paramRequired": true
},
{
"paramName": "out",
"paramLongName": "outputPath",
"paramDescription": "the path used to store temporary output files",
"paramRequired": true
},
{
"paramName": "ssm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "true if the spark session is managed, false otherwise",
"paramRequired": false
}
]

6
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/input_parameters_link_prj.json
View File

@ -28,6 +28,12 @@
"paramLongName":"graphPath",
"paramDescription": "the path to the relations",
"paramRequired": true
},
{
"paramName":"cmp",
"paramLongName":"communityMapPath",
"paramDescription": "the path to the relations",
"paramRequired": true
}
]

27
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/project_subset_parameters.json Normal file
View File

@ -0,0 +1,27 @@
[
{
"paramName":"s",
"paramLongName":"sourcePath",
"paramDescription": "the path of the sequencial file to read",
"paramRequired": true
},
{
"paramName": "out",
"paramLongName": "outputPath",
"paramDescription": "the path used to store temporary output files",
"paramRequired": true
},
{
"paramName": "ssm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "true if the spark session is managed, false otherwise",
"paramRequired": false
},
{
"paramName": "pl",
"paramLongName": "projectListPath",
"paramDescription": "the path of the association result projectlist",
"paramRequired": true
}
]

2
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/wf/subworkflows/commoncommunityfunder/oozie_app/config-default.xml → dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/projectsubset/oozie_app/config-default.xml
View File

@ -27,4 +27,4 @@
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>
</configuration>

171
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/projectsubset/oozie_app/workflow.xml Normal file
View File

@ -0,0 +1,171 @@
<workflow-app name="dump_graph" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>sourcePath</name>
<description>the source path</description>
</property>
<property>
<name>projectListPath</name>
<description>the path to the project list</description>
</property>
<property>
<name>outputPath</name>
<description>the output path</description>
</property>
<property>
<name>accessToken</name>
<description>the access token used for the deposition in Zenodo</description>
</property>
<property>
<name>connectionUrl</name>
<description>the connection url for Zenodo</description>
</property>
<property>
<name>metadata</name>
<description> the metadata associated to the deposition</description>
</property>
<property>
<name>depositionType</name>
<description>the type of deposition we want to perform. "new" for brand new deposition, "version" for a new version of a published deposition (in this case the concept record id must be provided), "upload" to upload content to an open deposition for which we already have the deposition id (in this case the deposition id should be provided)</description>
</property>
<property>
<name>conceptRecordId</name>
<description>for new version, the id of the record for the old deposition</description>
</property>
<property>
<name>depositionId</name>
<description>the depositionId of a deposition open that has to be added content</description>
</property>
<property>
<name>sparkDriverMemory</name>
<description>memory for driver process</description>
</property>
<property>
<name>sparkExecutorMemory</name>
<description>memory for individual executor</description>
</property>
<property>
<name>sparkExecutorCores</name>
<description>number of cores used by single executor</description>
</property>
<property>
<name>oozieActionShareLibForSpark2</name>
<description>oozie action sharelib for spark 2.*</description>
</property>
<property>
<name>spark2ExtraListeners</name>
<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
<description>spark 2.* extra listeners classname</description>
</property>
<property>
<name>spark2SqlQueryExecutionListeners</name>
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
<description>spark 2.* sql query execution listeners classname</description>
</property>
<property>
<name>spark2YarnHistoryServerAddress</name>
<description>spark 2.* yarn history server address</description>
</property>
<property>
<name>spark2EventLogDir</name>
<description>spark 2.* event log dir location</description>
</property>
</parameters>
<global>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>mapreduce.job.queuename</name>
<value>${queueName}</value>
</property>
<property>
<name>oozie.launcher.mapred.job.queue.name</name>
<value>${oozieLauncherQueueName}</value>
</property>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>${oozieActionShareLibForSpark2}</value>
</property>
</configuration>
</global>
<start to="dump_project"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="dump_project">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table project </name>
<class>eu.dnetlib.dhp.oa.graph.dump.complete.SparkDumpEntitiesJob</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/project</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Project</arg>
<arg>--outputPath</arg><arg>${workingDir}/project</arg>
<arg>--communityMapPath</arg><arg>noneed</arg>
</spark>
<ok to="get_new_projects"/>
<error to="Kill"/>
</action>
<action name="get_new_projects">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table project </name>
<class>eu.dnetlib.dhp.oa.graph.dump.projectssubset.ProjectsSubsetSparkJob</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/project</arg>
<arg>--outputPath</arg><arg>${workingDir}/tar/project</arg>
<arg>--projectListPath</arg><arg>${projectListPath}</arg>
</spark>
<ok to="make_archive"/>
<error to="Kill"/>
</action>
<action name="make_archive">
<java>
<main-class>eu.dnetlib.dhp.oa.graph.dump.MakeTar</main-class>
<arg>--hdfsPath</arg><arg>${outputPath}</arg>
<arg>--nameNode</arg><arg>${nameNode}</arg>
<arg>--sourcePath</arg><arg>${workingDir}/tar</arg>
</java>
<ok to="send_zenodo"/>
<error to="Kill"/>
</action>
<action name="send_zenodo">
<java>
<main-class>eu.dnetlib.dhp.oa.graph.dump.SendToZenodoHDFS</main-class>
<arg>--hdfsPath</arg><arg>${outputPath}</arg>
<arg>--nameNode</arg><arg>${nameNode}</arg>
<arg>--accessToken</arg><arg>${accessToken}</arg>
<arg>--connectionUrl</arg><arg>${connectionUrl}</arg>
<arg>--metadata</arg><arg>${metadata}</arg>
<arg>--conceptRecordId</arg><arg>${conceptRecordId}</arg>
<arg>--depositionType</arg><arg>${depositionType}</arg>
<arg>--depositionId</arg><arg>${depositionId}</arg>
</java>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

347
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/wf/subworkflows/commoncommunityfunder/oozie_app/workflow.xml
View File

@ -1,347 +0,0 @@
<workflow-app name="sub_dump_community_funder_results" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>sourcePath</name>
<description>the source path</description>
</property>
<property>
<name>outputPath</name>
<description>the output path</description>
</property>
<property>
<name>communityMapPath</name>
<description>the path to the community map</description>
</property>
<property>
<name>selectedResults</name>
<description>the path the the possible subset ot results to be dumped</description>
</property>
<property>
<name>hiveDbName</name>
<description>the target hive database name</description>
</property>
<property>
<name>hiveJdbcUrl</name>
<description>hive server jdbc url</description>
</property>
<property>
<name>hiveMetastoreUris</name>
<description>hive server metastore URIs</description>
</property>
<property>
<name>sparkDriverMemory</name>
<description>memory for driver process</description>
</property>
<property>
<name>sparkExecutorMemory</name>
<description>memory for individual executor</description>
</property>
<property>
<name>sparkExecutorCores</name>
<description>number of cores used by single executor</description>
</property>
<property>
<name>oozieActionShareLibForSpark2</name>
<description>oozie action sharelib for spark 2.*</description>
</property>
<property>
<name>spark2ExtraListeners</name>
<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
<description>spark 2.* extra listeners classname</description>
</property>
<property>
<name>spark2SqlQueryExecutionListeners</name>
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
<description>spark 2.* sql query execution listeners classname</description>
</property>
<property>
<name>spark2YarnHistoryServerAddress</name>
<description>spark 2.* yarn history server address</description>
</property>
<property>
<name>spark2EventLogDir</name>
<description>spark 2.* event log dir location</description>
</property>
</parameters>
<global>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>mapreduce.job.queuename</name>
<value>${queueName}</value>
</property>
<property>
<name>oozie.launcher.mapred.job.queue.name</name>
<value>${oozieLauncherQueueName}</value>
</property>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>${oozieActionShareLibForSpark2}</value>
</property>
</configuration>
</global>
<start to="fork_dump"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<fork name="fork_dump">
<path start="dump_publication"/>
<path start="dump_dataset"/>
<path start="dump_orp"/>
<path start="dump_software"/>
</fork>
<action name="dump_publication">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table publication for community/funder related products</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${selectedResults}/publication</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
<arg>--outputPath</arg><arg>${workingDir}/dump/publication</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
<arg>--dumpType</arg><arg>${dumpType}</arg>
</spark>
<ok to="join_dump"/>
<error to="Kill"/>
</action>
<action name="dump_dataset">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table dataset for community/funder related products</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${selectedResults}/dataset</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
<arg>--outputPath</arg><arg>${workingDir}/dump/dataset</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_dump"/>
<error to="Kill"/>
</action>
<action name="dump_orp">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table ORP for community related products</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${selectedResults}/otherresearchproduct</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
<arg>--outputPath</arg><arg>${workingDir}/dump/otherresearchproduct</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_dump"/>
<error to="Kill"/>
</action>
<action name="dump_software">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table software for community related products</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${selectedResults}/software</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
<arg>--outputPath</arg><arg>${workingDir}/dump/software</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_dump"/>
<error to="Kill"/>
</action>
<join name="join_dump" to="prepareResultProject"/>
<action name="prepareResultProject">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Prepare association result subset of project info</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkPrepareResultProject</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}</arg>
<arg>--outputPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="fork_extendWithProject"/>
<error to="Kill"/>
</action>
<fork name="fork_extendWithProject">
<path start="extend_publication"/>
<path start="extend_dataset"/>
<path start="extend_orp"/>
<path start="extend_software"/>
</fork>
<action name="extend_publication">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Extend dumped publications with information about project</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/dump/publication</arg>
<arg>--outputPath</arg><arg>${outputPath}/ext/publication</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="join_extend"/>
<error to="Kill"/>
</action>
<action name="extend_dataset">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Extend dumped dataset with information about project</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/dump/dataset</arg>
<arg>--outputPath</arg><arg>${outputPath}/ext/dataset</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="join_extend"/>
<error to="Kill"/>
</action>
<action name="extend_orp">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Extend dumped ORP with information about project</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/dump/otherresearchproduct</arg>
<arg>--outputPath</arg><arg>${outputPath}/ext/orp</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="join_extend"/>
<error to="Kill"/>
</action>
<action name="extend_software">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Extend dumped software with information about project</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/dump/software</arg>
<arg>--outputPath</arg><arg>${outputPath}/ext/software</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="join_extend"/>
<error to="Kill"/>
</action>
<join name="join_extend" to="End"/>
<end name="End"/>
</workflow-app>

2
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/wf/subworkflows/community/oozie_app/import.txt
View File

@ -1,2 +0,0 @@
## This is a classpath-based import file (this header is required)
dump_common classpath eu/dnetlib/dhp/oa/graph/dump/wf/subworkflows/commoncommunityfunder/oozie_app

273
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/wf/subworkflows/community/oozie_app/workflow.xml
View File

@ -77,42 +77,259 @@
</configuration>
</global>
<start to="common_action_community_funder"/>
<start to="fork_dump"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="common_action_community_funder">
<sub-workflow>
<app-path>${wf:appPath()}/dump_common
</app-path>
<propagate-configuration/>
<configuration>
<property>
<name>sourcePath</name>
<value>${sourcePath}</value>
</property>
<property>
<name>selectedResults</name>
<value>${sourcePath}</value>
</property>
<property>
<name>communityMapPath</name>
<value>${workingDir}/communityMap</value>
</property>
<property>
<name>outputPath</name>
<value>${workingDir}</value>
</property>
</configuration>
</sub-workflow>
<ok to="splitForCommunities" />
<error to="Kill" />
<fork name="fork_dump">
<path start="dump_publication"/>
<path start="dump_dataset"/>
<path start="dump_orp"/>
<path start="dump_software"/>
</fork>
<action name="dump_publication">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table publication for community/funder related products</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/publication</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
<arg>--outputPath</arg><arg>${workingDir}/dump/publication</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
<arg>--dumpType</arg><arg>${dumpType}</arg>
</spark>
<ok to="join_dump"/>
<error to="Kill"/>
</action>
<action name="dump_dataset">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table dataset for community/funder related products</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/dataset</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
<arg>--outputPath</arg><arg>${workingDir}/dump/dataset</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_dump"/>
<error to="Kill"/>
</action>
<action name="dump_orp">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table ORP for community related products</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/otherresearchproduct</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
<arg>--outputPath</arg><arg>${workingDir}/dump/otherresearchproduct</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_dump"/>
<error to="Kill"/>
</action>
<action name="dump_software">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table software for community related products</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/software</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
<arg>--outputPath</arg><arg>${workingDir}/dump/software</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_dump"/>
<error to="Kill"/>
</action>
<join name="join_dump" to="prepareResultProject"/>
<action name="prepareResultProject">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Prepare association result subset of project info</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkPrepareResultProject</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}</arg>
<arg>--outputPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="fork_extendWithProject"/>
<error to="Kill"/>
</action>
<fork name="fork_extendWithProject">
<path start="extend_publication"/>
<path start="extend_dataset"/>
<path start="extend_orp"/>
<path start="extend_software"/>
</fork>
<action name="extend_publication">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Extend dumped publications with information about project</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/dump/publication</arg>
<arg>--outputPath</arg><arg>${workingDir}/ext/publication</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="join_extend"/>
<error to="Kill"/>
</action>
<action name="extend_dataset">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Extend dumped dataset with information about project</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/dump/dataset</arg>
<arg>--outputPath</arg><arg>${workingDir}/ext/dataset</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="join_extend"/>
<error to="Kill"/>
</action>
<action name="extend_orp">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Extend dumped ORP with information about project</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/dump/otherresearchproduct</arg>
<arg>--outputPath</arg><arg>${workingDir}/ext/orp</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="join_extend"/>
<error to="Kill"/>
</action>
<action name="extend_software">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Extend dumped software with information about project</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/dump/software</arg>
<arg>--outputPath</arg><arg>${workingDir}/ext/software</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="join_extend"/>
<error to="Kill"/>
</action>
<join name="join_extend" to="splitForCommunities"/>
<action name="splitForCommunities">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>

1
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/wf/subworkflows/complete/oozie_app/workflow.xml
View File

@ -298,6 +298,7 @@
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
--conf spark.sql.shuffle.partitions=3840
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}</arg>
<arg>--outputPath</arg><arg>${workingDir}/validrelation</arg>

2
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/wf/subworkflows/funder/oozie_app/import.txt
View File

@ -1,2 +0,0 @@
## This is a classpath-based import file (this header is required)
dump_common classpath eu/dnetlib/dhp/oa/graph/dump/wf/subworkflows/commoncommunityfunder/oozie_app

71
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/wf/subworkflows/funder/oozie_app/workflow.xml
View File

@ -77,12 +77,36 @@
</configuration>
</global>
<start to="fork_result_linked_to_projects"/>
<start to="prepareResultProject"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="prepareResultProject">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Prepare association result subset of project info</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkPrepareResultProject</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}</arg>
<arg>--outputPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="fork_result_linked_to_projects"/>
<error to="Kill"/>
</action>
<fork name="fork_result_linked_to_projects">
<path start="select_publication_linked_to_projects"/>
@ -111,7 +135,8 @@
<arg>--sourcePath</arg><arg>${sourcePath}/publication</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
<arg>--outputPath</arg><arg>${workingDir}/result/publication</arg>
<arg>--graphPath</arg><arg>${sourcePath}</arg>
<arg>--graphPath</arg><arg>${workingDir}/preparedInfo</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_link"/>
<error to="Kill"/>
@ -137,7 +162,8 @@
<arg>--sourcePath</arg><arg>${sourcePath}/dataset</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
<arg>--outputPath</arg><arg>${workingDir}/result/dataset</arg>
<arg>--graphPath</arg><arg>${sourcePath}</arg>
<arg>--graphPath</arg><arg>${workingDir}/preparedInfo</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_link"/>
<error to="Kill"/>
@ -163,7 +189,8 @@
<arg>--sourcePath</arg><arg>${sourcePath}/otherresearchproduct</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
<arg>--outputPath</arg><arg>${workingDir}/result/otherresearchproduct</arg>
<arg>--graphPath</arg><arg>${sourcePath}</arg>
<arg>--graphPath</arg><arg>${workingDir}/preparedInfo</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_link"/>
<error to="Kill"/>
@ -189,41 +216,14 @@
<arg>--sourcePath</arg><arg>${sourcePath}/software</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
<arg>--outputPath</arg><arg>${workingDir}/result/software</arg>
<arg>--graphPath</arg><arg>${sourcePath}</arg>
<arg>--graphPath</arg><arg>${workingDir}/preparedInfo</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_link"/>
<error to="Kill"/>
</action>
<join name="join_link" to="common_action_community_funder"/>
<action name="common_action_community_funder">
<sub-workflow>
<app-path>${wf:appPath()}/dump_common
</app-path>
<propagate-configuration/>
<configuration>
<property>
<name>sourcePath</name>
<value>${sourcePath}</value>
</property>
<property>
<name>selectedResults</name>
<value>${workingDir}/result</value>
</property>
<property>
<name>communityMapPath</name>
<value>${workingDir}/communityMap</value>
</property>
<property>
<name>outputPath</name>
<value>${workingDir}</value>
</property>
</configuration>
</sub-workflow>
<ok to="dump_funder_results" />
<error to="Kill" />
</action>
<join name="join_link" to="dump_funder_results"/>
<action name="dump_funder_results">
<spark xmlns="uri:oozie:spark-action:0.2">
@ -242,9 +242,8 @@
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/ext</arg>
<arg>--sourcePath</arg><arg>${workingDir}/result</arg>
<arg>--outputPath</arg><arg>${outputPath}</arg>
<arg>--graphPath</arg><arg>${sourcePath}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>

3
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/graph/convert_dataset_json_params.json
View File

@ -1,5 +1,6 @@
[
{"paramName":"mt", "paramLongName":"master", "paramDescription": "should be local or yarn", "paramRequired": true},
{"paramName":"s", "paramLongName":"sourcePath", "paramDescription": "the source Path", "paramRequired": true},
{"paramName":"t", "paramLongName":"targetPath", "paramDescription": "the path of the raw graph", "paramRequired": true}
{"paramName":"t", "paramLongName":"targetPath", "paramDescription": "the path of the raw graph", "paramRequired": true},
{"paramName":"r", "paramLongName":"filterRelation", "paramDescription": "the relation to filter", "paramRequired": false}
]

4
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/graph/convert_object_json_params.json
View File

@ -3,5 +3,7 @@
{"paramName":"s", "paramLongName":"sourcePath", "paramDescription": "the source Path", "paramRequired": true},
{"paramName":"su", "paramLongName":"scholixUpdatePath", "paramDescription": "the scholix updated Path", "paramRequired": false},
{"paramName":"t", "paramLongName":"targetPath", "paramDescription": "the path of the raw graph", "paramRequired": true},
{"paramName":"o", "paramLongName":"objectType", "paramDescription": "should be scholix or Summary", "paramRequired": true}
{"paramName":"o", "paramLongName":"objectType", "paramDescription": "should be scholix or Summary", "paramRequired": true},
{"paramName":"mp", "paramLongName":"maxPidNumberFilter", "paramDescription": "filter max number of pids in source/target", "paramRequired": false}
]

10
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/graph/dumpScholix/oozie_app/config-default.xml Normal file
View File

@ -0,0 +1,10 @@
<configuration>
<property>
<name>oozie.use.system.libpath</name>
<value>true</value>
</property>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>spark2</value>
</property>
</configuration>

145
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/graph/dumpScholix/oozie_app/workflow.xml Normal file
View File

@ -0,0 +1,145 @@
<workflow-app name="Create Scholix Dump" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>sourcePath</name>
<description>the working dir base path</description>
</property>
<property>
<name>targetPath</name>
<description>the final graph path</description>
</property>
<property>
<name>relationFilter</name>
<description>Filter relation semantic</description>
</property>
<property>
<name>maxNumberOfPid</name>
<description>filter relation with at least #maxNumberOfPid</description>
</property>
</parameters>
<start to="ImportDatasetEntities"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="ImportDatasetEntities">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Import JSONRDD to Dataset kryo</name>
<class>eu.dnetlib.dhp.sx.graph.SparkConvertRDDtoDataset</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.shuffle.partitions=3000
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
</spark-opts>
<arg>--master</arg><arg>yarn</arg>
<arg>--sourcePath</arg><arg>${sourcePath}</arg>
<arg>--targetPath</arg><arg>${targetPath}</arg>
<arg>--filterRelation</arg><arg>${relationFilter}</arg>
</spark>
<ok to="CreateSummaries"/>
<error to="Kill"/>
</action>
<action name="CreateSummaries">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Convert Entities to summaries</name>
<class>eu.dnetlib.dhp.sx.graph.SparkCreateSummaryObject</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.shuffle.partitions=20000
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
</spark-opts>
<arg>--master</arg><arg>yarn</arg>
<arg>--sourcePath</arg><arg>${targetPath}/entities</arg>
<arg>--targetPath</arg><arg>${targetPath}/provision/summaries</arg>
</spark>
<ok to="CreateScholix"/>
<error to="Kill"/>
</action>
<action name="CreateScholix">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Generate Scholix Dataset</name>
<class>eu.dnetlib.dhp.sx.graph.SparkCreateScholix</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.shuffle.partitions=30000
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
</spark-opts>
<arg>--master</arg><arg>yarn</arg>
<arg>--summaryPath</arg><arg>${targetPath}/provision/summaries</arg>
<arg>--targetPath</arg><arg>${targetPath}/provision/scholix</arg>
<arg>--relationPath</arg><arg>${targetPath}/relation</arg>
</spark>
<ok to="DropJSONPath"/>
<error to="Kill"/>
</action>
<action name="DropJSONPath">
<fs>
<delete path='${targetPath}/json'/>
<mkdir path='${targetPath}/json/'/>
</fs>
<ok to="SerializeScholix"/>
<error to="Kill"/>
</action>
<action name="SerializeScholix">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Serialize scholix to JSON</name>
<class>eu.dnetlib.dhp.sx.graph.SparkConvertObjectToJson</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.shuffle.partitions=6000
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
</spark-opts>
<arg>--master</arg><arg>yarn</arg>
<arg>--sourcePath</arg><arg>${targetPath}/provision/scholix/scholix</arg>
<arg>--targetPath</arg><arg>${targetPath}/json/scholix_json</arg>
<arg>--objectType</arg><arg>scholix</arg>
<arg>--maxPidNumberFilter</arg><arg>maxNumberOfPid</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

33
dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkConvertObjectToJson.scala
View File

@ -4,6 +4,7 @@ import com.fasterxml.jackson.databind.ObjectMapper
import eu.dnetlib.dhp.application.ArgumentApplicationParser
import eu.dnetlib.dhp.schema.sx.scholix.Scholix
import eu.dnetlib.dhp.schema.sx.summary.ScholixSummary
import eu.dnetlib.dhp.sx.graph.SparkConvertObjectToJson.toInt
import org.apache.commons.io.IOUtils
import org.apache.hadoop.io.compress.GzipCodec
import org.apache.spark.SparkConf
@ -12,6 +13,14 @@ import org.slf4j.{Logger, LoggerFactory}
object SparkConvertObjectToJson {
def toInt(s: String): Option[Int] = {
try {
Some(s.toInt)
} catch {
case e: Exception => None
}
}
def main(args: Array[String]): Unit = {
val log: Logger = LoggerFactory.getLogger(getClass)
val conf: SparkConf = new SparkConf()
@ -37,6 +46,8 @@ object SparkConvertObjectToJson {
log.info(s"objectType -> $objectType")
val scholixUpdatePath = parser.get("scholixUpdatePath")
log.info(s"scholixUpdatePath -> $scholixUpdatePath")
val maxPidNumberFilter = parser.get("maxPidNumberFilter")
log.info(s"maxPidNumberFilter -> $maxPidNumberFilter")
implicit val scholixEncoder: Encoder[Scholix] = Encoders.kryo[Scholix]
implicit val summaryEncoder: Encoder[ScholixSummary] = Encoders.kryo[ScholixSummary]
@ -47,12 +58,22 @@ object SparkConvertObjectToJson {
case "scholix" =>
log.info("Serialize Scholix")
val d: Dataset[Scholix] = spark.read.load(sourcePath).as[Scholix]
val u: Dataset[Scholix] = spark.read.load(s"$scholixUpdatePath/scholix").as[Scholix]
d.union(u)
.repartition(8000)
.map(s => mapper.writeValueAsString(s))(Encoders.STRING)
.rdd
.saveAsTextFile(targetPath, classOf[GzipCodec])
// val u: Dataset[Scholix] = spark.read.load(s"$scholixUpdatePath/scholix").as[Scholix]
if (maxPidNumberFilter != null && toInt(maxPidNumberFilter).isDefined) {
val mp = toInt(maxPidNumberFilter).get
d
.filter(s => (s.getSource.getIdentifier.size() <= mp) && (s.getTarget.getIdentifier.size() <= mp))
.map(s => mapper.writeValueAsString(s))(Encoders.STRING)
.rdd
.saveAsTextFile(targetPath, classOf[GzipCodec])
} else {
d
.repartition(8000)
.map(s => mapper.writeValueAsString(s))(Encoders.STRING)
.rdd
.saveAsTextFile(targetPath, classOf[GzipCodec])
}
case "summary" =>
log.info("Serialize Summary")
val d: Dataset[ScholixSummary] = spark.read.load(sourcePath).as[ScholixSummary]

59
dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/sx/graph/SparkConvertRDDtoDataset.scala
View File

@ -4,9 +4,11 @@ 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 org.apache.commons.io.IOUtils
import org.apache.commons.lang3.StringUtils
import org.apache.spark.SparkConf
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
import org.slf4j.{Logger, LoggerFactory}
import scala.collection.JavaConverters._
object SparkConvertRDDtoDataset {
@ -34,6 +36,9 @@ object SparkConvertRDDtoDataset {
val t = parser.get("targetPath")
log.info(s"targetPath -> $t")
val filterRelation = parser.get("filterRelation")
log.info(s"filterRelation -> $filterRelation")
val entityPath = s"$t/entities"
val relPath = s"$t/relation"
val mapper = new ObjectMapper()
@ -94,28 +99,44 @@ object SparkConvertRDDtoDataset {
log.info("Converting Relation")
val relationSemanticFilter = List(
// "cites",
// "iscitedby",
"merges",
"ismergedin",
"HasAmongTopNSimilarDocuments",
"IsAmongTopNSimilarDocuments"
)
if (filterRelation != null && StringUtils.isNoneBlank(filterRelation)) {
val rddRelation = spark.sparkContext
.textFile(s"$sourcePath/relation")
.map(s => mapper.readValue(s, classOf[Relation]))
.filter(r => r.getDataInfo != null && r.getDataInfo.getDeletedbyinference == false)
.filter(r => r.getSource.startsWith("50") && r.getTarget.startsWith("50"))
//filter OpenCitations relations
.filter(r =>
r.getCollectedfrom != null && r.getCollectedfrom.size() > 0 && !r.getCollectedfrom.asScala.exists(k =>
"opencitations".equalsIgnoreCase(k.getValue)
val rddRelation = spark.sparkContext
.textFile(s"$sourcePath/relation")
.map(s => mapper.readValue(s, classOf[Relation]))
.filter(r => r.getDataInfo != null && r.getDataInfo.getDeletedbyinference == false)
.filter(r => r.getSource.startsWith("50") && r.getTarget.startsWith("50"))
//filter OpenCitations relations
.filter(r =>
r.getCollectedfrom != null && r.getCollectedfrom.size() > 0 && !r.getCollectedfrom.asScala.exists(k =>
"opencitations".equalsIgnoreCase(k.getValue)
)
)
.filter(r => r.getSubRelType != null && r.getSubRelType.equalsIgnoreCase(filterRelation))
spark.createDataset(rddRelation).as[Relation].write.mode(SaveMode.Overwrite).save(s"$relPath")
} else {
val relationSemanticFilter = List(
"merges",
"ismergedin",
"HasAmongTopNSimilarDocuments",
"IsAmongTopNSimilarDocuments"
)
.filter(r => !relationSemanticFilter.exists(k => k.equalsIgnoreCase(r.getRelClass)))
spark.createDataset(rddRelation).as[Relation].write.mode(SaveMode.Overwrite).save(s"$relPath")
val rddRelation = spark.sparkContext
.textFile(s"$sourcePath/relation")
.map(s => mapper.readValue(s, classOf[Relation]))
.filter(r => r.getDataInfo != null && r.getDataInfo.getDeletedbyinference == false)
.filter(r => r.getSource.startsWith("50") && r.getTarget.startsWith("50"))
//filter OpenCitations relations
.filter(r =>
r.getCollectedfrom != null && r.getCollectedfrom.size() > 0 && !r.getCollectedfrom.asScala.exists(k =>
"opencitations".equalsIgnoreCase(k.getValue)
)
)
.filter(r => !relationSemanticFilter.exists(k => k.equalsIgnoreCase(r.getRelClass)))
spark.createDataset(rddRelation).as[Relation].write.mode(SaveMode.Overwrite).save(s"$relPath")
}
}
}

23
dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/PrepareResultProjectJobTest.java
View File

@ -321,4 +321,27 @@ public class PrepareResultProjectJobTest {
3, resultExplodedProvenance.filter("provenance = 'sysimport:crosswalk:entityregistry'").count());
}
@Test
void testMatchx() throws Exception {
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/match")
.getPath();
SparkPrepareResultProject.main(new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(),
"-outputPath", workingDir.toString() + "/preparedInfo",
"-sourcePath", sourcePath
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<ResultProject> tmp = sc
.textFile(workingDir.toString() + "/preparedInfo")
.map(item -> OBJECT_MAPPER.readValue(item, ResultProject.class));
tmp.foreach(r -> System.out.println(OBJECT_MAPPER.writeValueAsString(r)));
}
}

39
dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/funderresult/ResultLinkedToProjectTest.java
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@ -22,6 +22,7 @@ import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.oa.graph.dump.funderresults.SparkResultLinkedToProject;
import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityResult;
import eu.dnetlib.dhp.schema.oaf.Publication;
import eu.dnetlib.dhp.schema.oaf.Result;
@ -76,7 +77,11 @@ public class ResultLinkedToProjectTest {
.getPath();
final String graphPath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/nomatch")
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/preparedInfo")
.getPath();
final String communityMapPath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/communityMapPath")
.getPath();
SparkResultLinkedToProject.main(new String[] {
@ -84,20 +89,18 @@ public class ResultLinkedToProjectTest {
"-outputPath", workingDir.toString() + "/preparedInfo",
"-sourcePath", sourcePath,
"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Publication",
"-graphPath", graphPath
"-graphPath", graphPath,
"-communityMapPath", communityMapPath
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Result> tmp = sc
JavaRDD<CommunityResult> tmp = sc
.textFile(workingDir.toString() + "/preparedInfo")
.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
.map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class));
org.apache.spark.sql.Dataset<Result> verificationDataset = spark
.createDataset(tmp.rdd(), Encoders.bean(Result.class));
Assertions.assertEquals(0, verificationDataset.count());
Assertions.assertEquals(0, tmp.count());
}
@ -108,8 +111,12 @@ public class ResultLinkedToProjectTest {
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/match/papers.json")
.getPath();
final String relationPath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/match")
final String graphPath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/preparedInfo")
.getPath();
final String communityMapPath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/communityMapPath")
.getPath();
SparkResultLinkedToProject.main(new String[] {
@ -117,20 +124,18 @@ public class ResultLinkedToProjectTest {
"-outputPath", workingDir.toString() + "/preparedInfo",
"-sourcePath", sourcePath,
"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Publication",
"-graphPath", relationPath
"-graphPath", graphPath,
"-communityMapPath", communityMapPath
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Publication> tmp = sc
JavaRDD<CommunityResult> tmp = sc
.textFile(workingDir.toString() + "/preparedInfo")
.map(item -> OBJECT_MAPPER.readValue(item, Publication.class));
.map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class));
org.apache.spark.sql.Dataset<Publication> verificationDataset = spark
.createDataset(tmp.rdd(), Encoders.bean(Publication.class));
Assertions.assertEquals(1, verificationDataset.count());
Assertions.assertEquals(1, tmp.count());
}

18
dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/funderresult/SplitPerFunderTest.java
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@ -5,10 +5,14 @@ import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
// import eu.dnetlib.dhp.oa.graph.dump.funderresults.SparkDumpFunderResults2;
// import eu.dnetlib.dhp.oa.graph.dump.funderresults.SparkGetFunderList;
import org.apache.commons.io.FileUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.ForeachFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
@ -68,20 +72,19 @@ public class SplitPerFunderTest {
void test1() throws Exception {
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/extendeddump")
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/ext")
.getPath();
SparkDumpFunderResults.main(new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(),
"-outputPath", workingDir.toString() + "/split",
"-sourcePath", sourcePath,
"-graphPath", sourcePath
"-sourcePath", sourcePath
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
// FP7 3
// FP7 3 and H2020 3
JavaRDD<CommunityResult> tmp = sc
.textFile(workingDir.toString() + "/split/EC_FP7")
.map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class));
@ -143,11 +146,6 @@ public class SplitPerFunderTest {
.map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class));
Assertions.assertEquals(1, tmp.count());
// CONICYT 0
tmp = sc
.textFile(workingDir.toString() + "/split/CONICYTF")
.map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class));
Assertions.assertEquals(0, tmp.count());
}
}

125
dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/projectssubset/ProjectSubsetTest.java Normal file
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@ -0,0 +1,125 @@
package eu.dnetlib.dhp.oa.graph.dump.projectssubset;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.HashMap;
import org.apache.commons.io.FileUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.schema.dump.oaf.graph.Project;
public class ProjectSubsetTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
private static final Logger log = LoggerFactory
.getLogger(eu.dnetlib.dhp.oa.graph.dump.projectssubset.ProjectSubsetTest.class);
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files
.createTempDirectory(
eu.dnetlib.dhp.oa.graph.dump.projectssubset.ProjectSubsetTest.class.getSimpleName());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(eu.dnetlib.dhp.oa.graph.dump.projectssubset.ProjectSubsetTest.class.getSimpleName());
conf.setMaster("local[*]");
conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false");
conf.set("spark.sql.warehouse.dir", workingDir.toString());
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession
.builder()
.appName(eu.dnetlib.dhp.oa.graph.dump.projectssubset.ProjectSubsetTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
void testAllNew() throws Exception {
final String projectListPath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/projectsubset/projectId")
.getPath();
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/projectsubset/allnew/projects")
.getPath();
spark
.read()
.textFile(projectListPath)
.write()
.mode(SaveMode.Overwrite)
.text(workingDir.toString() + "/projectIds");
ProjectsSubsetSparkJob.main(new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(),
"-outputPath", workingDir.toString() + "/projects",
"-sourcePath", sourcePath,
"-projectListPath", workingDir.toString() + "/projectIds"
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Project> tmp = sc
.textFile(workingDir.toString() + "/projects")
.map(item -> OBJECT_MAPPER.readValue(item, Project.class));
Assertions.assertEquals(12, tmp.count());
Assertions.assertEquals(2, tmp.filter(p -> p.getId().substring(3, 15).equals("aka_________")).count());
Assertions.assertEquals(2, tmp.filter(p -> p.getId().substring(3, 15).equals("anr_________")).count());
Assertions.assertEquals(4, tmp.filter(p -> p.getId().substring(3, 15).equals("arc_________")).count());
Assertions.assertEquals(3, tmp.filter(p -> p.getId().substring(3, 15).equals("conicytf____")).count());
Assertions.assertEquals(1, tmp.filter(p -> p.getId().substring(3, 15).equals("corda_______")).count());
Assertions.assertEquals(40, sc.textFile(workingDir.toString() + "/projectIds").count());
}
@Test
void testMatchOne() throws Exception {
final String projectListPath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/projectsubset/projectId")
.getPath();
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/projectsubset/matchOne/projects")
.getPath();
spark
.read()
.textFile(projectListPath)
.write()
.mode(SaveMode.Overwrite)
.text(workingDir.toString() + "/projectIds");
ProjectsSubsetSparkJob.main(new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(),
"-outputPath", workingDir.toString() + "/projects",
"-sourcePath", sourcePath,
"-projectListPath", workingDir.toString() + "/projectIds"
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Project> tmp = sc
.textFile(workingDir.toString() + "/projects")
.map(item -> OBJECT_MAPPER.readValue(item, Project.class));
Assertions.assertEquals(11, tmp.count());
Assertions.assertEquals(2, tmp.filter(p -> p.getId().substring(3, 15).equals("aka_________")).count());
Assertions.assertEquals(2, tmp.filter(p -> p.getId().substring(3, 15).equals("anr_________")).count());
Assertions.assertEquals(4, tmp.filter(p -> p.getId().substring(3, 15).equals("arc_________")).count());
Assertions.assertEquals(3, tmp.filter(p -> p.getId().substring(3, 15).equals("conicytf____")).count());
Assertions.assertEquals(0, tmp.filter(p -> p.getId().substring(3, 15).equals("corda__h2020")).count());
Assertions.assertEquals(39, sc.textFile(workingDir.toString() + "/projectIds").count());
}
}

4
dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MappersTest.java
View File

@ -122,6 +122,10 @@ class MappersTest {
assertNotNull(p.getBestaccessright());
assertEquals("OPEN", p.getBestaccessright().getClassid());
assertNotNull(p.getFulltext());
assertEquals(1, p.getFulltext().size());
assertEquals("https://oneecosystem.pensoft.net/article/13718/", p.getFulltext().get(0).getValue());
// RESULT PROJECT
List<Relation> resultProject = list
.stream()

1
dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/communityMapPath/communityMap Normal file
View File

@ -0,0 +1 @@
{"ee":"SDSN - Greece","epos":"EPOS","enrmaps":"Energy Research","fet-h2020":"FET H2020","instruct":"Instruct-Eric","egi":"EGI Federation","euromarine":"Euromarine","covid-19":"COVID-19","dariah":"DARIAH EU","rda":"Research Data Alliance","clarin":"CLARIN","aginfra":"Agricultural and Food Sciences","risis":"RISI","fam":"Fisheries and Aquaculture Management","beopen":"Transport Research","elixir-gr":"ELIXIR GR","fet-fp7":"FET FP7","ifremer":"Ifremer","science-innovation-policy":"Science and Innovation Policy Studies","mes":"European Marine Scinece","oa-pg":"EC Post-Grant Open Access Pilot","ni":"Neuroinformatics","dh-ch":"Digital Humanities and Cultural Heritage"}

0
dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/extendeddump/orp → dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/ext/dataset
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0
dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/ext/otherresearchproduct Normal file
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12
dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/ext/project Normal file
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13
dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/ext/publication Normal file
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File diff suppressed because one or more lines are too long

0
dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/ext/software Normal file
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32
dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/extendeddump/otherresearchproduct Normal file
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File diff suppressed because one or more lines are too long

8
dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/fundersList/list Normal file
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@ -0,0 +1,8 @@
NSF
CIHR
NWO
NHMRC
NIH
MZOS
SNSF
EC

2
dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/nomatch/papers.json
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File diff suppressed because one or more lines are too long

1
dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/preparedInfo/resultProject Normal file
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@ -0,0 +1 @@
{"resultId":"50|a89337edbe55::43e8b61e5e8d682545cb867be8118585","projectsList":[{"id":"40|aka_________::01bb7b48e29d732a1c7bc5150b9195c4","code":"135027","acronym":null,"title":"Dynamic 3D resolution-enhanced low-coherence interferometric imaging / Consortium: Hi-Lo","funder":{"shortName":"AKA","name":"Academy of Finland","jurisdiction":"FI","fundingStream":null},"provenance":{"provenance":"Harvested","trust":"0.900000000000000022"},"validated":null},{"id":"40|aka_________::9d1af21dbd0f5bc719f71553d19a6b3a","code":"316061","acronym":null,"title":"Finnish Imaging of Degenerative Shoulder Study (FIMAGE): A study on the prevalence of degenerative imaging changes of the shoulder and their relevance to clinical symptoms in the general population.","funder":{"shortName":"AKA","name":"Academy of Finland","jurisdiction":"FI","fundingStream":null},"provenance":{"provenance":"Harvested","trust":"0.900000000000000022"},"validated":null}]}

12
dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/projectsubset/allnew/projects Normal file
View File

@ -0,0 +1,12 @@
{"id":"40|aka_________::01bb7b48e29d732a1c7bc5150b9195c4","websiteurl":null,"code":"135027","acronym":null,"title":"Dynamic 3D resolution-enhanced low-coherence interferometric imaging / Consortium: Hi-Lo","startdate":null,"enddate":null,"callidentifier":"Fotoniikka ja modernit kuvantamismenetelmät LT","keywords":null,"openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"AKA","name":"Academy of Finland","jurisdiction":"FI","funding_stream":null}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|aka_________::9d1af21dbd0f5bc719f71553d19a6b3a","websiteurl":null,"code":"316061","acronym":null,"title":"Finnish Imaging of Degenerative Shoulder Study (FIMAGE): A study on the prevalence of degenerative imaging changes of the shoulder and their relevance to clinical symptoms in the general population.","startdate":null,"enddate":null,"callidentifier":"Academy Project Funding TT","keywords":null,"openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"AKA","name":"Academy of Finland","jurisdiction":"FI","funding_stream":null}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|anr_________::1f21edc5c902be305ee47148955c6e50","websiteurl":null,"code":"ANR-17-CE05-0033","acronym":"MOISE","title":"METAL OXIDES AS LOW LOADED NANO-IRIDIUM SUPPORT FOR COMPETITIVE WATER ELECTROLYSIS","startdate":null,"enddate":null,"callidentifier":null,"keywords":null,"openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"ANR","name":"French National Research Agency (ANR)","jurisdiction":"FR","funding_stream":null}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|anr_________::547e78ffdcb7d72a1ef31058dede3a33","websiteurl":null,"code":"ANR-09-SEGI-0005","acronym":"GALAXY","title":"DEVELOPPEMENT COLLABORATIF DE SYSTEMES COMPLEXES SELON UNE APPROCHE GUIDEE PAR LES MODELES","startdate":null,"enddate":null,"callidentifier":null,"keywords":null,"openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"ANR","name":"French National Research Agency (ANR)","jurisdiction":"FR","funding_stream":null}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|arc_________::838e781a8d479e27a11101421fd8b296","websiteurl":"http://purl.org/au-research/grants/arc/LE0347462","code":"LE0347462","acronym":null,"title":"Femtosecond laser micromachining facility","startdate":"2003-01-01","enddate":"2003-12-31","callidentifier":null,"keywords":"biomedical nanostructures,femtosecond laser machining,laser manufacturing,laser micromachining,microphotonics,photonic bandgap structures","openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"ARC","name":"Australian Research Council (ARC)","jurisdiction":"AU","funding_stream":{"id":"ARC::Linkage Infrastructure, Equipment and Facilities","description":"Linkage Infrastructure, Equipment and Facilities"}}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|arc_________::a461f180f7b6700c0499d4d3d53e58c7","websiteurl":"http://purl.org/au-research/grants/arc/LP140100567","code":"LP140100567","acronym":null,"title":"Linkage Projects - Grant ID: LP140100567","startdate":"2014-01-01","enddate":"2017-12-31","callidentifier":null,"keywords":"EDUCATIONAL MEASUREMENT; EDUCATIONAL MEASUREMENT; HIGH-STAKES TESTING; HIGH-STAKES TESTING; PERFORMANCE ASSESSMENT; PERFORMANCE ASSESSMENT; PERFORMANCE ASSESSMENT","openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"ARC","name":"Australian Research Council (ARC)","jurisdiction":"AU","funding_stream":{"id":"ARC::Linkage Projects","description":"Linkage Projects"}}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|arc_________::b46b9e07d4cea67ccf497520a75ad0c8","websiteurl":"http://purl.org/au-research/grants/arc/DP180101235","code":"DP180101235","acronym":null,"title":"Discovery Projects - Grant ID: DP180101235","startdate":"2018-01-01","enddate":"2023-12-31","callidentifier":null,"keywords":null,"openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"ARC","name":"Australian Research Council (ARC)","jurisdiction":"AU","funding_stream":{"id":"ARC::Discovery Projects","description":"Discovery Projects"}}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|arc_________::c5f86314ce288f91a7f31c219b128fab","websiteurl":"http://purl.org/au-research/grants/arc/LE0989831","code":"LE0989831","acronym":null,"title":"The Australian Music Navigator: research infrastructure for discovering, accessing and analysing Australia's musical landscape","startdate":"2009-01-01","enddate":"2009-12-31","callidentifier":null,"keywords":"database metadata,digital sound,electroacoustic music,film music,music,music information retrieval","openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"ARC","name":"Australian Research Council (ARC)","jurisdiction":"AU","funding_stream":{"id":"ARC::Linkage Infrastructure, Equipment and Facilities","description":"Linkage Infrastructure, Equipment and Facilities"}}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|conicytf____::05539f3427ad605d7c1de0168f3e337f","websiteurl":"http://repositorio.conicyt.cl/handle/10533/183109","code":"3120023","acronym":null,"title":"SYNTHESIS AND STRUCTURE-ACTIVITY RELATIONSHIPS OF HETEROARYLISOQUINOLINE- AND PHENANTHRIDINEQUINONES AS ANTITUMOR AGENTS","startdate":"2011-01-01","enddate":"2014-01-28","callidentifier":null,"keywords":null,"openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"CONICYT","name":"Comisión Nacional de Investigación Científica y Tecnológica","jurisdiction":"CL","funding_stream":{"id":"CONICYT::FONDECYT::POSTDOCTORADO","description":"Fondecyt fundings - Fondecyt stream, POSTDOCTORADO"}}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|conicytf____::96b47b91a6c061e31f626612b1650c03","websiteurl":"http://repositorio.conicyt.cl/handle/10533/163340","code":"1040240","acronym":null,"title":"ESTUDIO TEORICO-EXPERIMENTAL DE LA PERMEACION DE FLUIDOS SUPERCRITICOS Y LA SEPARACION DE MEZCLAS A ALTA PRESION A TRAVES DE MEMBRANAS MICROPOROSAS.","startdate":"2004-01-15","enddate":"2007-01-15","callidentifier":null,"keywords":null,"openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"CONICYT","name":"Comisión Nacional de Investigación Científica y Tecnológica","jurisdiction":"CL","funding_stream":{"id":"CONICYT::FONDECYT::REGULAR","description":"Fondecyt fundings - Fondecyt stream, REGULAR"}}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|conicytf____::b122147e0a13f34cdb6311a9d714f9a5","websiteurl":"http://repositorio.conicyt.cl/handle/10533/162452","code":"1020683","acronym":null,"title":"SINTESIS Y CARACTERIZACION DE SALES CUATERNARIAS CON EL ANION CALCOFOSFATO [P2Qy]4- (Q=S,Se;y=6,7) PROPIEDADES FISICAS Y REACCIONES DE INCLUSION.","startdate":"2002-01-15","enddate":"2006-01-15","callidentifier":null,"keywords":null,"openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"CONICYT","name":"Comisión Nacional de Investigación Científica y Tecnológica","jurisdiction":"CL","funding_stream":{"id":"CONICYT::FONDECYT::REGULAR","description":"Fondecyt fundings - Fondecyt stream, REGULAR"}}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|corda_______::132bac68f17bb81c451d9071be6e4d6d","websiteurl":null,"code":"628405","acronym":"ANIM","title":"Precisely Defined, Surface-Engineered Nanostructures via Crystallization-Driven Self-Assembly of Linear-Dendritic Block Copolymers","startdate":"2014-05-01","enddate":"2016-04-30","callidentifier":"FP7-PEOPLE-2013-IIF","keywords":null,"openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"EC","name":"European Commission","jurisdiction":"EU","funding_stream":{"id":"EC::FP7::SP3::PEOPLE","description":"SEVENTH FRAMEWORK PROGRAMME - SP3-People - Marie-Curie Actions"}}],"summary":null,"granted":null,"h2020programme":[]}

12
dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/projectsubset/matchOne/projects Normal file
View File

@ -0,0 +1,12 @@
{"id":"40|aka_________::01bb7b48e29d732a1c7bc5150b9195c4","websiteurl":null,"code":"135027","acronym":null,"title":"Dynamic 3D resolution-enhanced low-coherence interferometric imaging / Consortium: Hi-Lo","startdate":null,"enddate":null,"callidentifier":"Fotoniikka ja modernit kuvantamismenetelmät LT","keywords":null,"openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"AKA","name":"Academy of Finland","jurisdiction":"FI","funding_stream":null}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|aka_________::9d1af21dbd0f5bc719f71553d19a6b3a","websiteurl":null,"code":"316061","acronym":null,"title":"Finnish Imaging of Degenerative Shoulder Study (FIMAGE): A study on the prevalence of degenerative imaging changes of the shoulder and their relevance to clinical symptoms in the general population.","startdate":null,"enddate":null,"callidentifier":"Academy Project Funding TT","keywords":null,"openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"AKA","name":"Academy of Finland","jurisdiction":"FI","funding_stream":null}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|anr_________::1f21edc5c902be305ee47148955c6e50","websiteurl":null,"code":"ANR-17-CE05-0033","acronym":"MOISE","title":"METAL OXIDES AS LOW LOADED NANO-IRIDIUM SUPPORT FOR COMPETITIVE WATER ELECTROLYSIS","startdate":null,"enddate":null,"callidentifier":null,"keywords":null,"openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"ANR","name":"French National Research Agency (ANR)","jurisdiction":"FR","funding_stream":null}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|anr_________::547e78ffdcb7d72a1ef31058dede3a33","websiteurl":null,"code":"ANR-09-SEGI-0005","acronym":"GALAXY","title":"DEVELOPPEMENT COLLABORATIF DE SYSTEMES COMPLEXES SELON UNE APPROCHE GUIDEE PAR LES MODELES","startdate":null,"enddate":null,"callidentifier":null,"keywords":null,"openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"ANR","name":"French National Research Agency (ANR)","jurisdiction":"FR","funding_stream":null}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|arc_________::838e781a8d479e27a11101421fd8b296","websiteurl":"http://purl.org/au-research/grants/arc/LE0347462","code":"LE0347462","acronym":null,"title":"Femtosecond laser micromachining facility","startdate":"2003-01-01","enddate":"2003-12-31","callidentifier":null,"keywords":"biomedical nanostructures,femtosecond laser machining,laser manufacturing,laser micromachining,microphotonics,photonic bandgap structures","openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"ARC","name":"Australian Research Council (ARC)","jurisdiction":"AU","funding_stream":{"id":"ARC::Linkage Infrastructure, Equipment and Facilities","description":"Linkage Infrastructure, Equipment and Facilities"}}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|arc_________::a461f180f7b6700c0499d4d3d53e58c7","websiteurl":"http://purl.org/au-research/grants/arc/LP140100567","code":"LP140100567","acronym":null,"title":"Linkage Projects - Grant ID: LP140100567","startdate":"2014-01-01","enddate":"2017-12-31","callidentifier":null,"keywords":"EDUCATIONAL MEASUREMENT; EDUCATIONAL MEASUREMENT; HIGH-STAKES TESTING; HIGH-STAKES TESTING; PERFORMANCE ASSESSMENT; PERFORMANCE ASSESSMENT; PERFORMANCE ASSESSMENT","openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"ARC","name":"Australian Research Council (ARC)","jurisdiction":"AU","funding_stream":{"id":"ARC::Linkage Projects","description":"Linkage Projects"}}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|arc_________::b46b9e07d4cea67ccf497520a75ad0c8","websiteurl":"http://purl.org/au-research/grants/arc/DP180101235","code":"DP180101235","acronym":null,"title":"Discovery Projects - Grant ID: DP180101235","startdate":"2018-01-01","enddate":"2023-12-31","callidentifier":null,"keywords":null,"openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"ARC","name":"Australian Research Council (ARC)","jurisdiction":"AU","funding_stream":{"id":"ARC::Discovery Projects","description":"Discovery Projects"}}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|arc_________::c5f86314ce288f91a7f31c219b128fab","websiteurl":"http://purl.org/au-research/grants/arc/LE0989831","code":"LE0989831","acronym":null,"title":"The Australian Music Navigator: research infrastructure for discovering, accessing and analysing Australia's musical landscape","startdate":"2009-01-01","enddate":"2009-12-31","callidentifier":null,"keywords":"database metadata,digital sound,electroacoustic music,film music,music,music information retrieval","openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"ARC","name":"Australian Research Council (ARC)","jurisdiction":"AU","funding_stream":{"id":"ARC::Linkage Infrastructure, Equipment and Facilities","description":"Linkage Infrastructure, Equipment and Facilities"}}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|conicytf____::05539f3427ad605d7c1de0168f3e337f","websiteurl":"http://repositorio.conicyt.cl/handle/10533/183109","code":"3120023","acronym":null,"title":"SYNTHESIS AND STRUCTURE-ACTIVITY RELATIONSHIPS OF HETEROARYLISOQUINOLINE- AND PHENANTHRIDINEQUINONES AS ANTITUMOR AGENTS","startdate":"2011-01-01","enddate":"2014-01-28","callidentifier":null,"keywords":null,"openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"CONICYT","name":"Comisión Nacional de Investigación Científica y Tecnológica","jurisdiction":"CL","funding_stream":{"id":"CONICYT::FONDECYT::POSTDOCTORADO","description":"Fondecyt fundings - Fondecyt stream, POSTDOCTORADO"}}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|conicytf____::96b47b91a6c061e31f626612b1650c03","websiteurl":"http://repositorio.conicyt.cl/handle/10533/163340","code":"1040240","acronym":null,"title":"ESTUDIO TEORICO-EXPERIMENTAL DE LA PERMEACION DE FLUIDOS SUPERCRITICOS Y LA SEPARACION DE MEZCLAS A ALTA PRESION A TRAVES DE MEMBRANAS MICROPOROSAS.","startdate":"2004-01-15","enddate":"2007-01-15","callidentifier":null,"keywords":null,"openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"CONICYT","name":"Comisión Nacional de Investigación Científica y Tecnológica","jurisdiction":"CL","funding_stream":{"id":"CONICYT::FONDECYT::REGULAR","description":"Fondecyt fundings - Fondecyt stream, REGULAR"}}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|conicytf____::b122147e0a13f34cdb6311a9d714f9a5","websiteurl":"http://repositorio.conicyt.cl/handle/10533/162452","code":"1020683","acronym":null,"title":"SINTESIS Y CARACTERIZACION DE SALES CUATERNARIAS CON EL ANION CALCOFOSFATO [P2Qy]4- (Q=S,Se;y=6,7) PROPIEDADES FISICAS Y REACCIONES DE INCLUSION.","startdate":"2002-01-15","enddate":"2006-01-15","callidentifier":null,"keywords":null,"openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"CONICYT","name":"Comisión Nacional de Investigación Científica y Tecnológica","jurisdiction":"CL","funding_stream":{"id":"CONICYT::FONDECYT::REGULAR","description":"Fondecyt fundings - Fondecyt stream, REGULAR"}}],"summary":null,"granted":null,"h2020programme":[]}
{"id":"40|corda__h2020::bf5d35ec8d24ae4abfb4a1c6a0af3856","websiteurl":null,"code":"628405","acronym":"ANIM","title":"Precisely Defined, Surface-Engineered Nanostructures via Crystallization-Driven Self-Assembly of Linear-Dendritic Block Copolymers","startdate":"2014-05-01","enddate":"2016-04-30","callidentifier":"FP7-PEOPLE-2013-IIF","keywords":null,"openaccessmandateforpublications":false,"openaccessmandatefordataset":false,"subject":[],"funding":[{"shortName":"EC","name":"European Commission","jurisdiction":"EU","funding_stream":{"id":"EC::FP7::SP3::PEOPLE","description":"SEVENTH FRAMEWORK PROGRAMME - SP3-People - Marie-Curie Actions"}}],"summary":null,"granted":null,"h2020programme":[]}

28
dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/projectsubset/projectId Normal file
View File

@ -0,0 +1,28 @@
40|nih_________::4c32cdbc4c9949853f02219fc4780a30
40|nih_________::b485512ef116af73bee79d50c8f9ca01
40|nih_________::b44d9bc8e99d9a0477ac06897e3e9c19
40|nih_________::7d2d2b7d1644a722a6bbcb031d82fec6
40|nsf_________::6b2674b0341e07b818a56c6f0daa2633
40|nih_________::96bb39aecc8f7b9f3b02ed36ef09538b
40|nsf_________::88d92bdf20ec2fac3ed9740f962b4fad
40|nih_________::4bb8c14729a0082378bb04db8321ce14
40|nih_________::08a8eed6c17c6d8e427afcfd29f87c7b
40|nsf_________::c314f3d35af1990121bf5b803937e112
40|nih_________::3ad6a2e6ebd561206f0da69468337f50
40|nih_________::d02c60c65a59629e69a30abcf2ceaed1
40|nih_________::d5a241cc94253feb72181cde15f51e96
40|nih_________::b5df718bbca69af50d4b7213e26af3f0
40|nih_________::bc90893c1be80503578e48f6ef6b7061
40|rcuk________::2c39b38c26c260b14a9816b88c91c132
40|nih_________::ab103ad117cd0579df66f7592a7d4adf
40|nih_________::147aa6ad8bd201e2a02c7b6cc3f68348
40|corda__h2020::bf5d35ec8d24ae4abfb4a1c6a0af3856
40|nih_________::b8083208156f2764d07c736ba9b49dd2
40|nih_________::f4d1e0aece0e6a9eff8d054c28e082db
40|nsf_________::56297da8b472a4be8ac3f09af813c9f6
40|nsf_________::6b6dc3398eeebb3de1ab66e6eb8c5cb3
40|nih_________::93289a36ebffb0bee3d6b01c6fc0a3d6
40|nih_________::6c3b00dd4ae9d43d6630ff18f189ebae
40|nih_________::1d983a87768f13bc8377b1b7d17290a2
40|nih_________::c3b56e91859b114644c1403e892eb80f
40|rcuk________::c1e15330fc7956063652f9c06e584548

16
dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/utils/XmlRecordFactory.java
View File

@ -999,17 +999,11 @@ public class XmlRecordFactory implements Serializable {
private List<String> measuresAsXml(List<Measure> measures) {
return measures
.stream()
.flatMap(
m -> m
.getUnit()
.stream()
.map(
u -> Lists
.newArrayList(
new Tuple2<>("id", m.getId()),
new Tuple2<>("key", u.getKey()),
new Tuple2<>("value", u.getValue())))
.map(l -> XmlSerializationUtils.asXmlElement("measure", l)))
.map(m -> {
List<Tuple2<String, String>> l = Lists.newArrayList(new Tuple2<>("id", m.getId()));
m.getUnit().forEach(kv -> l.add(new Tuple2<>(kv.getKey(), kv.getValue())));
return XmlSerializationUtils.asXmlElement("measure", l);
})
.collect(Collectors.toList());
}

15
dhp-workflows/dhp-graph-provision/src/test/java/eu/dnetlib/dhp/oa/provision/XmlRecordFactoryTest.java
View File

@ -73,11 +73,20 @@ public class XmlRecordFactoryTest {
assertEquals("EUR", doc.valueOf("//processingchargecurrency/text()"));
assertEquals(
"1.00889953098e-08", doc.valueOf("//*[local-name() = 'result']/measure[./@id = 'influence']/@value"));
"5.06690394631e-09", doc.valueOf("//*[local-name() = 'result']/measure[./@id = 'influence']/@score"));
assertEquals(
"30.6576853333", doc.valueOf("//*[local-name() = 'result']/measure[./@id = 'popularity_alt']/@value"));
"C", doc.valueOf("//*[local-name() = 'result']/measure[./@id = 'influence']/@class"));
assertEquals(
"4.62970429725e-08", doc.valueOf("//*[local-name() = 'result']/measure[./@id = 'popularity']/@value"));
"0.0", doc.valueOf("//*[local-name() = 'result']/measure[./@id = 'popularity_alt']/@score"));
assertEquals(
"C", doc.valueOf("//*[local-name() = 'result']/measure[./@id = 'popularity_alt']/@class"));
assertEquals(
"3.11855618382e-09", doc.valueOf("//*[local-name() = 'result']/measure[./@id = 'popularity']/@score"));
assertEquals(
"C", doc.valueOf("//*[local-name() = 'result']/measure[./@id = 'popularity']/@class"));
}
@Test

174
dhp-workflows/dhp-graph-provision/src/test/resources/eu/dnetlib/dhp/oa/provision/publication.json
View File

@ -5,7 +5,37 @@
"unit": [
{
"key": "score",
"value": "1.00889953098e-08"
"value": "5.06690394631e-09",
"dataInfo": {
"invisible": false,
"inferred": true,
"deletedbyinference": false,
"trust": "",
"inferenceprovenance": "update",
"provenanceaction": {
"classid": "measure:bip",
"classname": "Inferred by OpenAIRE",
"schemeid": "dnet:provenanceActions",
"schemename": "dnet:provenanceActions"
}
}
},
{
"key": "class",
"value": "C",
"dataInfo": {
"invisible": false,
"inferred": true,
"deletedbyinference": false,
"trust": "",
"inferenceprovenance": "update",
"provenanceaction": {
"classid": "measure:bip",
"classname": "Inferred by OpenAIRE",
"schemeid": "dnet:provenanceActions",
"schemename": "dnet:provenanceActions"
}
}
}
]
},
@ -14,7 +44,37 @@
"unit": [
{
"key": "score",
"value": "30.6576853333"
"value": "0.0",
"dataInfo": {
"invisible": false,
"inferred": true,
"deletedbyinference": false,
"trust": "",
"inferenceprovenance": "update",
"provenanceaction": {
"classid": "measure:bip",
"classname": "Inferred by OpenAIRE",
"schemeid": "dnet:provenanceActions",
"schemename": "dnet:provenanceActions"
}
}
},
{
"key": "class",
"value": "C",
"dataInfo": {
"invisible": false,
"inferred": true,
"deletedbyinference": false,
"trust": "",
"inferenceprovenance": "update",
"provenanceaction": {
"classid": "measure:bip",
"classname": "Inferred by OpenAIRE",
"schemeid": "dnet:provenanceActions",
"schemename": "dnet:provenanceActions"
}
}
}
]
},
@ -23,7 +83,115 @@
"unit": [
{
"key": "score",
"value": "4.62970429725e-08"
"value": "3.11855618382e-09",
"dataInfo": {
"invisible": false,
"inferred": true,
"deletedbyinference": false,
"trust": "",
"inferenceprovenance": "update",
"provenanceaction": {
"classid": "measure:bip",
"classname": "Inferred by OpenAIRE",
"schemeid": "dnet:provenanceActions",
"schemename": "dnet:provenanceActions"
}
}
},
{
"key": "class",
"value": "C",
"dataInfo": {
"invisible": false,
"inferred": true,
"deletedbyinference": false,
"trust": "",
"inferenceprovenance": "update",
"provenanceaction": {
"classid": "measure:bip",
"classname": "Inferred by OpenAIRE",
"schemeid": "dnet:provenanceActions",
"schemename": "dnet:provenanceActions"
}
}
}
]
},
{
"id": "influence_alt",
"unit": [
{
"key": "score",
"value": "0.0",
"dataInfo": {
"invisible": false,
"inferred": true,
"deletedbyinference": false,
"trust": "",
"inferenceprovenance": "update",
"provenanceaction": {
"classid": "measure:bip",
"classname": "Inferred by OpenAIRE",
"schemeid": "dnet:provenanceActions",
"schemename": "dnet:provenanceActions"
}
}
},
{
"key": "class",
"value": "C",
"dataInfo": {
"invisible": false,
"inferred": true,
"deletedbyinference": false,
"trust": "",
"inferenceprovenance": "update",
"provenanceaction": {
"classid": "measure:bip",
"classname": "Inferred by OpenAIRE",
"schemeid": "dnet:provenanceActions",
"schemename": "dnet:provenanceActions"
}
}
}
]
},
{
"id": "impulse",
"unit": [
{
"key": "score",
"value": "0.0",
"dataInfo": {
"invisible": false,
"inferred": true,
"deletedbyinference": false,
"trust": "",
"inferenceprovenance": "update",
"provenanceaction": {
"classid": "measure:bip",
"classname": "Inferred by OpenAIRE",
"schemeid": "dnet:provenanceActions",
"schemename": "dnet:provenanceActions"
}
}
},
{
"key": "class",
"value": "C",
"dataInfo": {
"invisible": false,
"inferred": true,
"deletedbyinference": false,
"trust": "",
"inferenceprovenance": "update",
"provenanceaction": {
"classid": "measure:bip",
"classname": "Inferred by OpenAIRE",
"schemeid": "dnet:provenanceActions",
"schemename": "dnet:provenanceActions"
}
}
}
]
}

2
pom.xml
View File

@ -801,7 +801,7 @@
<mockito-core.version>3.3.3</mockito-core.version>
<mongodb.driver.version>3.4.2</mongodb.driver.version>
<vtd.version>[2.12,3.0)</vtd.version>
<dhp-schemas.version>[2.12.0]</dhp-schemas.version>
<dhp-schemas.version>[2.12.2-SNAPSHOT]</dhp-schemas.version>
<dnet-actionmanager-api.version>[4.0.3]</dnet-actionmanager-api.version>
<dnet-actionmanager-common.version>[6.0.5]</dnet-actionmanager-common.version>
<dnet-openaire-broker-common.version>[3.1.6]</dnet-openaire-broker-common.version>