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merged conflicts on beta

This commit is contained in:
sandro.labruzzo 2024-11-13 09:43:16 +01:00
commit b0478c380e
12 changed files with 331 additions and 239 deletions

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@ -2,8 +2,7 @@
package eu.dnetlib.dhp.oa.merge;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import static org.apache.spark.sql.functions.col;
import static org.apache.spark.sql.functions.when;
import static org.apache.spark.sql.functions.*;
import java.util.Map;
import java.util.Optional;
@ -135,7 +134,9 @@ public class GroupEntitiesSparkJob {
.applyCoarVocabularies(entity, vocs),
OAFENTITY_KRYO_ENC)
.groupByKey((MapFunction<OafEntity, String>) OafEntity::getId, Encoders.STRING())
.mapGroups((MapGroupsFunction<String, OafEntity, OafEntity>) MergeUtils::mergeById, OAFENTITY_KRYO_ENC)
.mapGroups(
(MapGroupsFunction<String, OafEntity, OafEntity>) (key, group) -> MergeUtils.mergeById(group, vocs),
OAFENTITY_KRYO_ENC)
.map(
(MapFunction<OafEntity, Tuple2<String, OafEntity>>) t -> new Tuple2<>(
t.getClass().getName(), t),

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@ -2,7 +2,6 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import static eu.dnetlib.dhp.schema.common.ModelConstants.*;
import static eu.dnetlib.dhp.schema.common.ModelConstants.OPENAIRE_META_RESOURCE_TYPE;
import static eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils.getProvenance;
import java.net.MalformedURLException;
@ -696,6 +695,7 @@ public class GraphCleaningFunctions extends CleaningFunctions {
}
}
// set ORCID_PENDING to all orcid values that are not coming from ORCID provenance
for (Author a : r.getAuthor()) {
if (Objects.isNull(a.getPid())) {
a.setPid(Lists.newArrayList());
@ -752,6 +752,40 @@ public class GraphCleaningFunctions extends CleaningFunctions {
.collect(Collectors.toList()));
}
}
// Identify clashing ORCIDS:that is same ORCID associated to multiple authors in this result
Map<String, Integer> clashing_orcid = new HashMap<>();
for (Author a : r.getAuthor()) {
a
.getPid()
.stream()
.filter(
p -> StringUtils
.contains(StringUtils.lowerCase(p.getQualifier().getClassid()), ORCID_PENDING))
.map(StructuredProperty::getValue)
.distinct()
.forEach(orcid -> clashing_orcid.compute(orcid, (k, v) -> (v == null) ? 1 : v + 1));
}
Set<String> clashing = clashing_orcid
.entrySet()
.stream()
.filter(ee -> ee.getValue() > 1)
.map(Map.Entry::getKey)
.collect(Collectors.toSet());
// filter out clashing orcids
for (Author a : r.getAuthor()) {
a
.setPid(
a
.getPid()
.stream()
.filter(p -> !clashing.contains(p.getValue()))
.collect(Collectors.toList()));
}
}
if (value instanceof Publication) {

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@ -16,6 +16,8 @@ import java.util.function.Function;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
import eu.dnetlib.dhp.schema.common.EntityType;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.lang3.tuple.ImmutablePair;
import org.apache.commons.lang3.tuple.Pair;
@ -31,16 +33,20 @@ import eu.dnetlib.dhp.schema.oaf.*;
public class MergeUtils {
public static <T extends Oaf> T mergeById(String s, Iterator<T> oafEntityIterator) {
return mergeGroup(s, oafEntityIterator, true);
public static <T extends Oaf> T mergeById(Iterator<T> oafEntityIterator, VocabularyGroup vocs) {
return mergeGroup(oafEntityIterator, true, vocs);
}
public static <T extends Oaf> T mergeGroup(String s, Iterator<T> oafEntityIterator) {
return mergeGroup(s, oafEntityIterator, false);
public static <T extends Oaf> T mergeGroup(Iterator<T> oafEntityIterator) {
return mergeGroup(oafEntityIterator, false);
}
public static <T extends Oaf> T mergeGroup(String s, Iterator<T> oafEntityIterator,
boolean checkDelegateAuthority) {
public static <T extends Oaf> T mergeGroup(Iterator<T> oafEntityIterator, boolean checkDelegateAuthority) {
return mergeGroup(oafEntityIterator, checkDelegateAuthority, null);
}
public static <T extends Oaf> T mergeGroup(Iterator<T> oafEntityIterator,
boolean checkDelegateAuthority, VocabularyGroup vocs) {
ArrayList<T> sortedEntities = new ArrayList<>();
oafEntityIterator.forEachRemaining(sortedEntities::add);
@ -49,13 +55,54 @@ public class MergeUtils {
Iterator<T> it = sortedEntities.iterator();
T merged = it.next();
if (!it.hasNext() && merged instanceof Result && vocs != null) {
return enforceResultType(vocs, (Result) merged);
} else {
while (it.hasNext()) {
merged = checkedMerge(merged, it.next(), checkDelegateAuthority);
}
}
return merged;
}
private static <T extends Oaf> T enforceResultType(VocabularyGroup vocs, Result mergedResult) {
if (Optional.ofNullable(mergedResult.getInstance()).map(List::isEmpty).orElse(true)) {
return (T) mergedResult;
} else {
final Instance i = mergedResult.getInstance().get(0);
if (!vocs.vocabularyExists(ModelConstants.DNET_RESULT_TYPOLOGIES)) {
return (T) mergedResult;
} else {
final Qualifier expectedResultType = vocs.lookupTermBySynonym(
ModelConstants.DNET_RESULT_TYPOLOGIES,
i.getInstancetype().getClassid());
if (Objects.isNull(expectedResultType)) {
throw new IllegalArgumentException(
"instance type not bound to any result type in dnet:result_typologies: " +
i.getInstancetype().getClassid());
}
// there is a clash among the result types
if (!expectedResultType.getClassid().equals(mergedResult.getResulttype().getClassid())) {
try {
String resulttype = expectedResultType.getClassid();
if (EntityType.otherresearchproduct.toString().equals(resulttype)) {
resulttype = "other";
}
Result result = (Result) ModelSupport.oafTypes.get(resulttype).newInstance();
return (T) mergeResultFields(result, mergedResult);
} catch (InstantiationException | IllegalAccessException e) {
throw new IllegalStateException(e);
}
} else {
return (T) mergedResult;
}
}
}
}
public static <T extends Oaf> T checkedMerge(final T left, final T right, boolean checkDelegateAuthority) {
return (T) merge(left, right, checkDelegateAuthority);
}
@ -106,7 +153,7 @@ public class MergeUtils {
return mergeSoftware((Software) left, (Software) right);
}
return mergeResultFields((Result) left, (Result) right);
return left;
} else if (sameClass(left, right, Datasource.class)) {
// TODO
final int trust = compareTrust(left, right);

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@ -104,22 +104,22 @@ public class PrepareAffiliationRelations implements Serializable {
.listKeyValues(OPENAIRE_DATASOURCE_ID, OPENAIRE_DATASOURCE_NAME);
JavaPairRDD<Text, Text> crossrefRelations = prepareAffiliationRelationsNewModel(
spark, crossrefInputPath, collectedfromOpenAIRE, BIP_INFERENCE_PROVENANCE + "::crossref");
spark, crossrefInputPath, collectedfromOpenAIRE, BIP_INFERENCE_PROVENANCE + ":crossref");
JavaPairRDD<Text, Text> pubmedRelations = prepareAffiliationRelations(
spark, pubmedInputPath, collectedfromOpenAIRE, BIP_INFERENCE_PROVENANCE + "::pubmed");
spark, pubmedInputPath, collectedfromOpenAIRE, BIP_INFERENCE_PROVENANCE + ":pubmed");
JavaPairRDD<Text, Text> openAPCRelations = prepareAffiliationRelationsNewModel(
spark, openapcInputPath, collectedfromOpenAIRE, BIP_INFERENCE_PROVENANCE + "::openapc");
spark, openapcInputPath, collectedfromOpenAIRE, BIP_INFERENCE_PROVENANCE + ":openapc");
JavaPairRDD<Text, Text> dataciteRelations = prepareAffiliationRelationsNewModel(
spark, dataciteInputPath, collectedfromOpenAIRE, BIP_INFERENCE_PROVENANCE + "::datacite");
spark, dataciteInputPath, collectedfromOpenAIRE, BIP_INFERENCE_PROVENANCE + ":datacite");
JavaPairRDD<Text, Text> webCrawlRelations = prepareAffiliationRelationsNewModel(
spark, webcrawlInputPath, collectedfromOpenAIRE, BIP_INFERENCE_PROVENANCE + "::rawaff");
spark, webcrawlInputPath, collectedfromOpenAIRE, BIP_INFERENCE_PROVENANCE + ":rawaff");
JavaPairRDD<Text, Text> publisherRelations = prepareAffiliationRelationFromPublisherNewModel(
spark, publisherlInputPath, collectedfromOpenAIRE, BIP_INFERENCE_PROVENANCE + "::webcrawl");
spark, publisherlInputPath, collectedfromOpenAIRE, BIP_INFERENCE_PROVENANCE + ":webcrawl");
crossrefRelations
.union(pubmedRelations)

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@ -193,8 +193,8 @@ public class ExtractPerson implements Serializable {
private static Relation getProjectRelation(String project, String orcid, String role) {
String source = PERSON_PREFIX + "::" + IdentifierFactory.md5(orcid);
String target = PROJECT_ID_PREFIX + project.substring(0, 14)
+ IdentifierFactory.md5(project.substring(15));
String target = PROJECT_ID_PREFIX + StringUtils.substringBefore(project, "::") + "::"
+ IdentifierFactory.md5(StringUtils.substringAfter(project, "::"));
List<KeyValue> properties = new ArrayList<>();
Relation relation = OafMapperUtils
@ -345,7 +345,16 @@ public class ExtractPerson implements Serializable {
OafMapperUtils
.structuredProperty(
op.getOrcid(), ModelConstants.ORCID, ModelConstants.ORCID_CLASSNAME,
ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES, null));
ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES,
OafMapperUtils.dataInfo(false,
null,
false,
false,
OafMapperUtils.qualifier(ModelConstants.SYSIMPORT_CROSSWALK_ENTITYREGISTRY,
ModelConstants.SYSIMPORT_CROSSWALK_ENTITYREGISTRY,
ModelConstants.DNET_PID_TYPES,
ModelConstants.DNET_PID_TYPES),
"0.91")));
person.setDateofcollection(op.getLastModifiedDate());
person.setOriginalId(Arrays.asList(op.getOrcid()));
person.setDataInfo(ORCIDDATAINFO);

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@ -135,7 +135,7 @@ public class DedupRecordFactory {
return Collections.emptyIterator();
}
OafEntity mergedEntity = MergeUtils.mergeGroup(dedupId, cliques.iterator());
OafEntity mergedEntity = MergeUtils.mergeGroup(cliques.iterator());
// dedup records do not have date of transformation attribute
mergedEntity.setDateoftransformation(null);
mergedEntity

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@ -69,6 +69,7 @@ public class SparkPropagateRelation extends AbstractSparkAction {
Dataset<Relation> mergeRels = spark
.read()
.schema(REL_BEAN_ENC.schema())
.load(DedupUtility.createMergeRelPath(workingPath, "*", "*"))
.as(REL_BEAN_ENC);

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@ -46,8 +46,8 @@ class DatasetMergerTest implements Serializable {
}
@Test
void datasetMergerTest() throws InstantiationException, IllegalAccessException, InvocationTargetException {
Dataset pub_merged = MergeUtils.mergeGroup(dedupId, datasets.stream().map(Tuple2::_2).iterator());
void datasetMergerTest() {
Dataset pub_merged = MergeUtils.mergeGroup(datasets.stream().map(Tuple2::_2).iterator());
// verify id
assertEquals(dedupId, pub_merged.getId());

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@ -155,7 +155,7 @@ public abstract class AbstractMdRecordToOafMapper {
final List<Instance> instances = prepareInstances(doc, entityInfo, collectedFrom, hostedBy);
final String type = getResultType(doc, instances);
final String type = getResultType(instances);
return createOafs(doc, type, instances, collectedFrom, entityInfo, lastUpdateTimestamp);
} catch (final DocumentException e) {
@ -164,10 +164,9 @@ public abstract class AbstractMdRecordToOafMapper {
}
}
protected String getResultType(final Document doc, final List<Instance> instances) {
final String type = doc.valueOf("//dr:CobjCategory/@type");
protected String getResultType(final List<Instance> instances) {
if (StringUtils.isBlank(type) && this.vocs.vocabularyExists(ModelConstants.DNET_RESULT_TYPOLOGIES)) {
if (this.vocs.vocabularyExists(ModelConstants.DNET_RESULT_TYPOLOGIES)) {
final String instanceType = instances
.stream()
.map(i -> i.getInstancetype().getClassid())
@ -178,9 +177,9 @@ public abstract class AbstractMdRecordToOafMapper {
.ofNullable(this.vocs.getSynonymAsQualifier(ModelConstants.DNET_RESULT_TYPOLOGIES, instanceType))
.map(Qualifier::getClassid)
.orElse("0000");
} else {
throw new IllegalStateException("Missing vocabulary: " + ModelConstants.DNET_RESULT_TYPOLOGIES);
}
return type;
}
private KeyValue getProvenanceDatasource(final Document doc, final String xpathId, final String xpathName) {

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@ -133,7 +133,7 @@ public class GenerateEntitiesApplication extends AbstractMigrationApplication {
inputRdd
.keyBy(oaf -> ModelSupport.idFn().apply(oaf))
.groupByKey()
.map(t -> MergeUtils.mergeGroup(t._1, t._2.iterator())),
.map(t -> MergeUtils.mergeGroup(t._2.iterator())),
// .mapToPair(oaf -> new Tuple2<>(ModelSupport.idFn().apply(oaf), oaf))
// .reduceByKey(MergeUtils::merge)
// .map(Tuple2::_2),

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@ -51,6 +51,7 @@
<arg>--orcidPath</arg><arg>${orcidPath}</arg>
<arg>--targetPath</arg><arg>${targetPath}</arg>
<arg>--graphPath</arg><arg>${graphPath}</arg>
<arg>--workingDir</arg><arg>${workingDir}</arg>
<arg>--master</arg><arg>yarn</arg>
</spark>
<ok to="reset_outputpath"/>

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@ -133,7 +133,7 @@ object SparkCreateInputGraph {
val ds: Dataset[T] = spark.read.load(sourcePath).as[T]
ds.groupByKey(_.getId)
.mapGroups { (id, it) => MergeUtils.mergeGroup(id, it.asJava).asInstanceOf[T] }
.mapGroups { (id, it) => MergeUtils.mergeGroup(it.asJava).asInstanceOf[T] }
// .reduceGroups { (x: T, y: T) => MergeUtils.merge(x, y).asInstanceOf[T] }
// .map(_)
.write