merged with beta and fixed confilcts

This commit is contained in:
Sandro La Bruzzo 2024-12-06 14:30:20 +01:00
commit 2fc458dbd4
333 changed files with 12513 additions and 4056 deletions

1
.gitignore vendored
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@ -28,3 +28,4 @@ spark-warehouse
/**/.scalafmt.conf
/.java-version
/dhp-shade-package/dependency-reduced-pom.xml
/**/job.properties

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@ -10,6 +10,11 @@ public class Constants {
public static final Map<String, String> accessRightsCoarMap = Maps.newHashMap();
public static final Map<String, String> coarCodeLabelMap = Maps.newHashMap();
public static final String RAID_NS_PREFIX = "raid________";
public static final String END_DATE = "endDate";
public static final String START_DATE = "startDate";
public static final String ROR_NS_PREFIX = "ror_________";
public static final String ROR_OPENAIRE_ID = "10|openaire____::993a7ae7a863813cf95028b50708e222";

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@ -212,11 +212,11 @@ public class HttpConnector2 {
.format(
"Unexpected status code: %s errors: %s", urlConn.getResponseCode(),
MAPPER.writeValueAsString(report)));
} catch (MalformedURLException | UnknownHostException e) {
} catch (MalformedURLException e) {
log.error(e.getMessage(), e);
report.put(e.getClass().getName(), e.getMessage());
throw new CollectorException(e.getMessage(), e);
} catch (SocketTimeoutException | SocketException e) {
} catch (SocketTimeoutException | SocketException | UnknownHostException e) {
log.error(e.getMessage(), e);
report.put(e.getClass().getName(), e.getMessage());
backoffAndSleep(getClientParams().getRetryDelay() * retryNumber * 1000);

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@ -0,0 +1,82 @@
package eu.dnetlib.dhp.common.person;
import java.util.Arrays;
import java.util.Iterator;
import java.util.List;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.Person;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import eu.dnetlib.dhp.utils.DHPUtils;
public class CoAuthorshipIterator implements Iterator<Relation> {
private int firstIndex;
private int secondIndex;
private boolean firstRelation;
private List<String> authors;
private static final String PERSON_PREFIX = ModelSupport.getIdPrefix(Person.class) + "|orcid_______::";
private static final String OPENAIRE_PREFIX = "openaire____";
private static final String SEPARATOR = "::";
private static final String ORCID_KEY = "10|" + OPENAIRE_PREFIX + SEPARATOR
+ DHPUtils.md5(ModelConstants.ORCID.toLowerCase());
public static final String ORCID_AUTHORS_CLASSID = "sysimport:crosswalk:orcid";
public static final String ORCID_AUTHORS_CLASSNAME = "Imported from ORCID";
@Override
public boolean hasNext() {
return firstIndex < authors.size() - 1;
}
@Override
public Relation next() {
Relation rel = null;
if (firstRelation) {
rel = getRelation(authors.get(firstIndex), authors.get(secondIndex));
firstRelation = Boolean.FALSE;
} else {
rel = getRelation(authors.get(secondIndex), authors.get(firstIndex));
firstRelation = Boolean.TRUE;
secondIndex += 1;
if (secondIndex >= authors.size()) {
firstIndex += 1;
secondIndex = firstIndex + 1;
}
}
return rel;
}
public CoAuthorshipIterator(List<String> authors) {
this.authors = authors;
this.firstIndex = 0;
this.secondIndex = 1;
this.firstRelation = Boolean.TRUE;
}
private Relation getRelation(String orcid1, String orcid2) {
String source = PERSON_PREFIX + IdentifierFactory.md5(orcid1);
String target = PERSON_PREFIX + IdentifierFactory.md5(orcid2);
Relation relation = OafMapperUtils
.getRelation(
source, target, ModelConstants.PERSON_PERSON_RELTYPE,
ModelConstants.PERSON_PERSON_SUBRELTYPE,
ModelConstants.PERSON_PERSON_HASCOAUTHORED,
Arrays.asList(OafMapperUtils.keyValue(ORCID_KEY, ModelConstants.ORCID_DS)),
OafMapperUtils
.dataInfo(
false, null, false, false,
OafMapperUtils
.qualifier(
ORCID_AUTHORS_CLASSID, ORCID_AUTHORS_CLASSNAME,
ModelConstants.DNET_PROVENANCE_ACTIONS, ModelConstants.DNET_PROVENANCE_ACTIONS),
"0.91"),
null);
relation.setValidated(true);
return relation;
}
}

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@ -0,0 +1,17 @@
package eu.dnetlib.dhp.common.person;
import java.io.Serializable;
import java.util.List;
public class Coauthors implements Serializable {
private List<String> coauthors;
public List<String> getCoauthors() {
return coauthors;
}
public void setCoauthors(List<String> coauthors) {
this.coauthors = coauthors;
}
}

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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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@ -65,7 +65,13 @@ public class RunSQLSparkJob {
for (String statement : sql.split(";\\s*/\\*\\s*EOS\\s*\\*/\\s*")) {
log.info("executing: {}", statement);
long startTime = System.currentTimeMillis();
spark.sql(statement).show();
try {
spark.sql(statement).show();
} catch (Exception e) {
log.error("Error executing statement: {}", statement, e);
System.err.println("Error executing statement: " + statement + "\n" + e);
throw e;
}
log
.info(
"executed in {}",

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@ -0,0 +1,70 @@
/*
* Copyright (c) 2024.
* SPDX-FileCopyrightText: © 2023 Consiglio Nazionale delle Ricerche
* SPDX-License-Identifier: AGPL-3.0-or-later
*/
package eu.dnetlib.dhp.schema.oaf;
import org.apache.commons.lang3.builder.EqualsBuilder;
import org.apache.commons.lang3.builder.HashCodeBuilder;
public class HashableStructuredProperty extends StructuredProperty {
private static final long serialVersionUID = 8371670185221126045L;
public static HashableStructuredProperty newInstance(String value, Qualifier qualifier, DataInfo dataInfo) {
if (value == null) {
return null;
}
final HashableStructuredProperty sp = new HashableStructuredProperty();
sp.setValue(value);
sp.setQualifier(qualifier);
sp.setDataInfo(dataInfo);
return sp;
}
public static HashableStructuredProperty newInstance(StructuredProperty sp) {
HashableStructuredProperty hsp = new HashableStructuredProperty();
hsp.setQualifier(sp.getQualifier());
hsp.setValue(sp.getValue());
hsp.setQualifier(sp.getQualifier());
return hsp;
}
public static StructuredProperty toStructuredProperty(HashableStructuredProperty hsp) {
StructuredProperty sp = new StructuredProperty();
sp.setQualifier(hsp.getQualifier());
sp.setValue(hsp.getValue());
sp.setQualifier(hsp.getQualifier());
return sp;
}
@Override
public int hashCode() {
return new HashCodeBuilder(11, 91)
.append(getQualifier().getClassid())
.append(getQualifier().getSchemeid())
.append(getValue())
.hashCode();
}
@Override
public boolean equals(Object obj) {
if (obj == null) {
return false;
}
if (obj == this) {
return true;
}
if (obj.getClass() != getClass()) {
return false;
}
final HashableStructuredProperty rhs = (HashableStructuredProperty) obj;
return new EqualsBuilder()
.append(getQualifier().getClassid(), rhs.getQualifier().getClassid())
.append(getQualifier().getSchemeid(), rhs.getQualifier().getSchemeid())
.append(getValue(), rhs.getValue())
.isEquals();
}
}

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@ -43,34 +43,4 @@ public class CleaningFunctions {
return !PidBlacklistProvider.getBlacklist(s.getQualifier().getClassid()).contains(pidValue);
}
/**
* Utility method that normalises PID values on a per-type basis.
* @param pid the PID whose value will be normalised.
* @return the PID containing the normalised value.
*/
public static StructuredProperty normalizePidValue(StructuredProperty pid) {
pid
.setValue(
normalizePidValue(
pid.getQualifier().getClassid(),
pid.getValue()));
return pid;
}
public static String normalizePidValue(String pidType, String pidValue) {
String value = Optional
.ofNullable(pidValue)
.map(String::trim)
.orElseThrow(() -> new IllegalArgumentException("PID value cannot be empty"));
switch (pidType) {
// TODO add cleaning for more PID types as needed
case "doi":
return value.toLowerCase().replaceFirst(DOI_PREFIX_REGEX, DOI_PREFIX);
}
return value;
}
}

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@ -6,18 +6,11 @@ import org.apache.commons.lang3.StringUtils;
public class DoiCleaningRule {
public static String clean(final String doi) {
return doi
.toLowerCase()
.replaceAll("\\s", "")
.replaceAll("^doi:", "")
.replaceFirst(CleaningFunctions.DOI_PREFIX_REGEX, CleaningFunctions.DOI_PREFIX);
}
public static String normalizeDoi(final String input) {
if (input == null)
if (doi == null)
return null;
final String replaced = input
final String replaced = doi
.replaceAll("\\n|\\r|\\t|\\s", "")
.replaceAll("^doi:", "")
.toLowerCase()
.replaceFirst(CleaningFunctions.DOI_PREFIX_REGEX, CleaningFunctions.DOI_PREFIX);
if (StringUtils.isEmpty(replaced))
@ -32,7 +25,6 @@ public class DoiCleaningRule {
return null;
return ret;
}
}

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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;
@ -363,6 +362,8 @@ public class GraphCleaningFunctions extends CleaningFunctions {
// nothing to clean here
} else if (value instanceof Project) {
// nothing to clean here
} else if (value instanceof Person) {
// nothing to clean here
} else if (value instanceof Organization) {
Organization o = (Organization) value;
if (Objects.isNull(o.getCountry()) || StringUtils.isBlank(o.getCountry().getClassid())) {
@ -563,12 +564,24 @@ public class GraphCleaningFunctions extends CleaningFunctions {
Optional
.ofNullable(i.getPid())
.ifPresent(pid -> {
final Set<StructuredProperty> pids = Sets.newHashSet(pid);
final Set<HashableStructuredProperty> pids = pid
.stream()
.map(HashableStructuredProperty::newInstance)
.collect(Collectors.toCollection(HashSet::new));
Optional
.ofNullable(i.getAlternateIdentifier())
.ifPresent(altId -> {
final Set<StructuredProperty> altIds = Sets.newHashSet(altId);
i.setAlternateIdentifier(Lists.newArrayList(Sets.difference(altIds, pids)));
final Set<HashableStructuredProperty> altIds = altId
.stream()
.map(HashableStructuredProperty::newInstance)
.collect(Collectors.toCollection(HashSet::new));
i
.setAlternateIdentifier(
Sets
.difference(altIds, pids)
.stream()
.map(HashableStructuredProperty::toStructuredProperty)
.collect(Collectors.toList()));
});
});
@ -682,6 +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());
@ -738,6 +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) {
@ -796,7 +844,7 @@ public class GraphCleaningFunctions extends CleaningFunctions {
return author;
}
private static Optional<String> cleanDateField(Field<String> dateofacceptance) {
public static Optional<String> cleanDateField(Field<String> dateofacceptance) {
return Optional
.ofNullable(dateofacceptance)
.map(Field::getValue)

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@ -175,7 +175,7 @@ public class IdentifierFactory implements Serializable {
return entity
.getPid()
.stream()
.map(CleaningFunctions::normalizePidValue)
.map(PidCleaner::normalizePidValue)
.filter(CleaningFunctions::pidFilter)
.collect(
Collectors
@ -204,10 +204,11 @@ public class IdentifierFactory implements Serializable {
.map(
pp -> pp
.stream()
.filter(p -> StringUtils.isNotBlank(p.getValue()))
// filter away PIDs provided by a DS that is not considered an authority for the
// given PID Type
.filter(p -> shouldFilterPidByCriteria(collectedFrom, p, mapHandles))
.map(CleaningFunctions::normalizePidValue)
.map(PidCleaner::normalizePidValue)
.filter(p -> isNotFromDelegatedAuthority(collectedFrom, p))
.filter(CleaningFunctions::pidFilter))
.orElse(Stream.empty());

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@ -0,0 +1,106 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import java.util.*;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Oaf;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Result;
public class MergeEntitiesComparator implements Comparator<Oaf> {
static final List<String> PID_AUTHORITIES = Arrays
.asList(
ModelConstants.ARXIV_ID,
ModelConstants.PUBMED_CENTRAL_ID,
ModelConstants.EUROPE_PUBMED_CENTRAL_ID,
ModelConstants.DATACITE_ID,
ModelConstants.CROSSREF_ID);
static final List<String> RESULT_TYPES = Arrays
.asList(
ModelConstants.ORP_RESULTTYPE_CLASSID,
ModelConstants.SOFTWARE_RESULTTYPE_CLASSID,
ModelConstants.DATASET_RESULTTYPE_CLASSID,
ModelConstants.PUBLICATION_RESULTTYPE_CLASSID);
public static final Comparator<Oaf> INSTANCE = new MergeEntitiesComparator();
@Override
public int compare(Oaf left, Oaf right) {
if (left == null && right == null)
return 0;
if (left == null)
return -1;
if (right == null)
return 1;
int res = 0;
// pid authority
int cfp1 = Optional
.ofNullable(left.getCollectedfrom())
.map(
cf -> cf
.stream()
.map(kv -> PID_AUTHORITIES.indexOf(kv.getKey()))
.max(Integer::compare)
.orElse(-1))
.orElse(-1);
int cfp2 = Optional
.ofNullable(right.getCollectedfrom())
.map(
cf -> cf
.stream()
.map(kv -> PID_AUTHORITIES.indexOf(kv.getKey()))
.max(Integer::compare)
.orElse(-1))
.orElse(-1);
if (cfp1 >= 0 && cfp1 > cfp2) {
return 1;
} else if (cfp2 >= 0 && cfp2 > cfp1) {
return -1;
}
// trust
if (left.getDataInfo() != null && right.getDataInfo() != null) {
res = left.getDataInfo().getTrust().compareTo(right.getDataInfo().getTrust());
}
// result type
if (res == 0) {
if (left instanceof Result && right instanceof Result) {
Result r1 = (Result) left;
Result r2 = (Result) right;
if (r1.getResulttype() == null || r1.getResulttype().getClassid() == null) {
if (r2.getResulttype() != null && r2.getResulttype().getClassid() != null) {
return -1;
}
} else if (r2.getResulttype() == null || r2.getResulttype().getClassid() == null) {
return 1;
}
int rt1 = RESULT_TYPES.indexOf(r1.getResulttype().getClassid());
int rt2 = RESULT_TYPES.indexOf(r2.getResulttype().getClassid());
if (rt1 >= 0 && rt1 > rt2) {
return 1;
} else if (rt2 >= 0 && rt2 > rt1) {
return -1;
}
}
}
// id
if (res == 0) {
if (left instanceof OafEntity && right instanceof OafEntity) {
res = ((OafEntity) right).getId().compareTo(((OafEntity) left).getId());
}
}
return res;
}
}

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@ -23,53 +23,87 @@ import org.apache.commons.lang3.tuple.Pair;
import com.github.sisyphsu.dateparser.DateParserUtils;
import com.google.common.base.Joiner;
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
import eu.dnetlib.dhp.oa.merge.AuthorMerger;
import eu.dnetlib.dhp.schema.common.AccessRightComparator;
import eu.dnetlib.dhp.schema.common.EntityType;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport;
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) {
TreeSet<T> sortedEntities = new TreeSet<>((o1, o2) -> {
int res = 0;
public static <T extends Oaf> T mergeGroup(Iterator<T> oafEntityIterator, boolean checkDelegateAuthority) {
return mergeGroup(oafEntityIterator, checkDelegateAuthority, null);
}
if (o1.getDataInfo() != null && o2.getDataInfo() != null) {
res = o1.getDataInfo().getTrust().compareTo(o2.getDataInfo().getTrust());
}
public static <T extends Oaf> T mergeGroup(Iterator<T> oafEntityIterator,
boolean checkDelegateAuthority, VocabularyGroup vocs) {
if (res == 0) {
if (o1 instanceof Result && o2 instanceof Result) {
return ResultTypeComparator.INSTANCE.compare((Result) o1, (Result) o2);
}
}
ArrayList<T> sortedEntities = new ArrayList<>();
oafEntityIterator.forEachRemaining(sortedEntities::add);
sortedEntities.sort(MergeEntitiesComparator.INSTANCE.reversed());
return res;
});
while (oafEntityIterator.hasNext()) {
sortedEntities.add(oafEntityIterator.next());
}
Iterator<T> it = sortedEntities.descendingIterator();
Iterator<T> it = sortedEntities.iterator();
T merged = it.next();
while (it.hasNext()) {
merged = checkedMerge(merged, it.next(), checkDelegateAuthority);
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 String expectedResultType = Optional
.ofNullable(
vocs
.lookupTermBySynonym(
ModelConstants.DNET_RESULT_TYPOLOGIES, i.getInstancetype().getClassid()))
.orElse(ModelConstants.ORP_DEFAULT_RESULTTYPE)
.getClassid();
// there is a clash among the result types
if (!expectedResultType.equals(mergedResult.getResulttype().getClassid())) {
Result result = (Result) Optional
.ofNullable(ModelSupport.oafTypes.get(expectedResultType))
.map(r -> {
try {
return r.newInstance();
} catch (InstantiationException | IllegalAccessException e) {
throw new IllegalStateException(e);
}
})
.orElse(new OtherResearchProduct());
result.setId(mergedResult.getId());
return (T) mergeResultFields(result, mergedResult);
} 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);
}
@ -103,7 +137,7 @@ public class MergeUtils {
private static Oaf mergeEntities(Oaf left, Oaf right, boolean checkDelegatedAuthority) {
if (sameClass(left, right, Result.class)) {
if (!left.getClass().equals(right.getClass()) || checkDelegatedAuthority) {
if (checkDelegatedAuthority) {
return mergeResultsOfDifferentTypes((Result) left, (Result) right);
}
@ -120,7 +154,7 @@ 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);
@ -143,7 +177,7 @@ public class MergeUtils {
* https://graph.openaire.eu/docs/data-model/pids-and-identifiers#delegated-authorities and in that case it prefers
* such version.
* <p>
* Otherwise, it considers a resulttype priority order implemented in {@link ResultTypeComparator}
* Otherwise, it considers a resulttype priority order implemented in {@link MergeEntitiesComparator}
* and proceeds with the canonical property merging.
*
* @param left
@ -161,8 +195,9 @@ public class MergeUtils {
if (!leftFromDelegatedAuthority && rightFromDelegatedAuthority) {
return right;
}
// TODO: raise trust to have preferred fields from one or the other??
if (new ResultTypeComparator().compare(left, right) < 0) {
if (MergeEntitiesComparator.INSTANCE.compare(left, right) > 0) {
return mergeResultFields(left, right);
} else {
return mergeResultFields(right, left);
@ -225,9 +260,9 @@ public class MergeUtils {
private static <T, K> List<T> mergeLists(final List<T> left, final List<T> right, int trust,
Function<T, K> keyExtractor, BinaryOperator<T> merger) {
if (left == null) {
return right;
} else if (right == null) {
if (left == null || left.isEmpty()) {
return right != null ? right : new ArrayList<>();
} else if (right == null || right.isEmpty()) {
return left;
}
@ -342,7 +377,7 @@ public class MergeUtils {
final T merged = mergeOafFields(original, enrich, trust);
merged.setOriginalId(unionDistinctListOfString(merged.getOriginalId(), enrich.getOriginalId()));
merged.setPid(unionDistinctLists(merged.getPid(), enrich.getPid(), trust));
merged.setPid(mergeLists(merged.getPid(), enrich.getPid(), trust, MergeUtils::spKeyExtractor, (p1, p2) -> p1));
merged.setDateofcollection(LocalDateTime.now().toString());
merged
.setDateoftransformation(
@ -405,7 +440,7 @@ public class MergeUtils {
}
// should be an instance attribute, get the first non-null value
merge.setLanguage(coalesce(merge.getLanguage(), enrich.getLanguage()));
merge.setLanguage(coalesceQualifier(merge.getLanguage(), enrich.getLanguage()));
// distinct countries, do not manage datainfo
merge.setCountry(mergeQualifiers(merge.getCountry(), enrich.getCountry(), trust));
@ -478,6 +513,10 @@ public class MergeUtils {
merge.setIsInDiamondJournal(booleanOR(merge.getIsInDiamondJournal(), enrich.getIsInDiamondJournal()));
merge.setPubliclyFunded(booleanOR(merge.getPubliclyFunded(), enrich.getPubliclyFunded()));
if (StringUtils.isBlank(merge.getTransformativeAgreement())) {
merge.setTransformativeAgreement(enrich.getTransformativeAgreement());
}
return merge;
}
@ -575,6 +614,13 @@ public class MergeUtils {
return m != null ? m : e;
}
private static Qualifier coalesceQualifier(Qualifier m, Qualifier e) {
if (m == null || m.getClassid() == null || StringUtils.isBlank(m.getClassid())) {
return e;
}
return m;
}
private static List<Author> mergeAuthors(List<Author> author, List<Author> author1, int trust) {
List<List<Author>> authors = new ArrayList<>();
if (author != null) {
@ -587,6 +633,10 @@ public class MergeUtils {
}
private static String instanceKeyExtractor(Instance i) {
// three levels of concatenating:
// 1. ::
// 2. @@
// 3. ||
return String
.join(
"::",
@ -594,10 +644,10 @@ public class MergeUtils {
kvKeyExtractor(i.getCollectedfrom()),
qualifierKeyExtractor(i.getAccessright()),
qualifierKeyExtractor(i.getInstancetype()),
Optional.ofNullable(i.getUrl()).map(u -> String.join("::", u)).orElse(null),
Optional.ofNullable(i.getUrl()).map(u -> String.join("@@", u)).orElse(null),
Optional
.ofNullable(i.getPid())
.map(pp -> pp.stream().map(MergeUtils::spKeyExtractor).collect(Collectors.joining("::")))
.map(pp -> pp.stream().map(MergeUtils::spKeyExtractor).collect(Collectors.joining("@@")))
.orElse(null));
}
@ -652,9 +702,9 @@ public class MergeUtils {
}
private static Field<String> selectOldestDate(Field<String> d1, Field<String> d2) {
if (d1 == null || StringUtils.isBlank(d1.getValue())) {
if (!GraphCleaningFunctions.cleanDateField(d1).isPresent()) {
return d2;
} else if (d2 == null || StringUtils.isBlank(d2.getValue())) {
} else if (!GraphCleaningFunctions.cleanDateField(d2).isPresent()) {
return d1;
}
@ -706,7 +756,11 @@ public class MergeUtils {
private static String spKeyExtractor(StructuredProperty sp) {
return Optional
.ofNullable(sp)
.map(s -> Joiner.on("::").join(s, qualifierKeyExtractor(s.getQualifier())))
.map(
s -> Joiner
.on("||")
.useForNull("")
.join(qualifierKeyExtractor(s.getQualifier()), s.getValue()))
.orElse(null);
}
@ -963,7 +1017,7 @@ public class MergeUtils {
private static String extractKeyFromPid(final StructuredProperty pid) {
if (pid == null)
return null;
final StructuredProperty normalizedPid = CleaningFunctions.normalizePidValue(pid);
final StructuredProperty normalizedPid = PidCleaner.normalizePidValue(pid);
return String.format("%s::%s", normalizedPid.getQualifier().getClassid(), normalizedPid.getValue());
}

View File

@ -1,6 +1,12 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import java.util.Map;
import com.google.common.collect.Maps;
import eu.dnetlib.dhp.schema.common.ModelConstants;
public class ModelHardLimits {
private ModelHardLimits() {
@ -12,6 +18,7 @@ public class ModelHardLimits {
public static final int MAX_EXTERNAL_ENTITIES = 50;
public static final int MAX_AUTHORS = 200;
public static final int MAX_RELATED_AUTHORS = 20;
public static final int MAX_AUTHOR_FULLNAME_LENGTH = 1000;
public static final int MAX_TITLE_LENGTH = 5000;
public static final int MAX_TITLES = 10;
@ -19,6 +26,12 @@ public class ModelHardLimits {
public static final int MAX_ABSTRACT_LENGTH = 150000;
public static final int MAX_RELATED_ABSTRACT_LENGTH = 500;
public static final int MAX_INSTANCES = 10;
public static final Map<String, Long> MAX_RELATIONS_BY_RELCLASS = Maps.newHashMap();
static {
MAX_RELATIONS_BY_RELCLASS.put(ModelConstants.PERSON_PERSON_HASCOAUTHORED, 500L);
MAX_RELATIONS_BY_RELCLASS.put(ModelConstants.RESULT_PERSON_HASAUTHORED, 500L);
}
public static String getCollectionName(String format) {
return format + SEPARATOR + LAYOUT + SEPARATOR + INTERPRETATION;

View File

@ -26,7 +26,7 @@ public class PidCleaner {
String value = Optional
.ofNullable(pidValue)
.map(String::trim)
.orElseThrow(() -> new IllegalArgumentException("PID value cannot be empty"));
.orElseThrow(() -> new IllegalArgumentException("PID (" + pidType + ") value cannot be empty"));
switch (pidType) {

View File

@ -18,8 +18,8 @@ public class PidValueComparator implements Comparator<StructuredProperty> {
if (right == null)
return -1;
StructuredProperty l = CleaningFunctions.normalizePidValue(left);
StructuredProperty r = CleaningFunctions.normalizePidValue(right);
StructuredProperty l = PidCleaner.normalizePidValue(left);
StructuredProperty r = PidCleaner.normalizePidValue(right);
return Optional
.ofNullable(l.getValue())

View File

@ -1,87 +0,0 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import static eu.dnetlib.dhp.schema.common.ModelConstants.CROSSREF_ID;
import java.util.Comparator;
import java.util.HashSet;
import java.util.Optional;
import java.util.stream.Collectors;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.KeyValue;
import eu.dnetlib.dhp.schema.oaf.Result;
public class ResultTypeComparator implements Comparator<Result> {
public static final ResultTypeComparator INSTANCE = new ResultTypeComparator();
@Override
public int compare(Result left, Result right) {
if (left == null && right == null)
return 0;
if (left == null)
return 1;
if (right == null)
return -1;
HashSet<String> lCf = getCollectedFromIds(left);
HashSet<String> rCf = getCollectedFromIds(right);
if (lCf.contains(CROSSREF_ID) && !rCf.contains(CROSSREF_ID)) {
return -1;
}
if (!lCf.contains(CROSSREF_ID) && rCf.contains(CROSSREF_ID)) {
return 1;
}
if (left.getResulttype() == null || left.getResulttype().getClassid() == null) {
if (right.getResulttype() == null || right.getResulttype().getClassid() == null) {
return 0;
}
return 1;
} else if (right.getResulttype() == null || right.getResulttype().getClassid() == null) {
return -1;
}
String lClass = left.getResulttype().getClassid();
String rClass = right.getResulttype().getClassid();
if (!lClass.equals(rClass)) {
if (lClass.equals(ModelConstants.PUBLICATION_RESULTTYPE_CLASSID))
return -1;
if (rClass.equals(ModelConstants.PUBLICATION_RESULTTYPE_CLASSID))
return 1;
if (lClass.equals(ModelConstants.DATASET_RESULTTYPE_CLASSID))
return -1;
if (rClass.equals(ModelConstants.DATASET_RESULTTYPE_CLASSID))
return 1;
if (lClass.equals(ModelConstants.SOFTWARE_RESULTTYPE_CLASSID))
return -1;
if (rClass.equals(ModelConstants.SOFTWARE_RESULTTYPE_CLASSID))
return 1;
if (lClass.equals(ModelConstants.ORP_RESULTTYPE_CLASSID))
return -1;
if (rClass.equals(ModelConstants.ORP_RESULTTYPE_CLASSID))
return 1;
}
// Else (but unlikely), lexicographical ordering will do.
return lClass.compareTo(rClass);
}
protected HashSet<String> getCollectedFromIds(Result left) {
return Optional
.ofNullable(left.getCollectedfrom())
.map(
cf -> cf
.stream()
.map(KeyValue::getKey)
.collect(Collectors.toCollection(HashSet::new)))
.orElse(new HashSet<>());
}
}

View File

@ -28,6 +28,7 @@ import com.jayway.jsonpath.JsonPath;
import eu.dnetlib.dhp.schema.mdstore.MDStoreWithInfo;
import eu.dnetlib.dhp.schema.oaf.utils.CleaningFunctions;
import eu.dnetlib.dhp.schema.oaf.utils.PidCleaner;
import net.minidev.json.JSONArray;
import scala.collection.JavaConverters;
import scala.collection.Seq;
@ -104,7 +105,7 @@ public class DHPUtils {
public static String generateUnresolvedIdentifier(final String pid, final String pidType) {
final String cleanedPid = CleaningFunctions.normalizePidValue(pidType, pid);
final String cleanedPid = PidCleaner.normalizePidValue(pidType, pid);
return String.format("unresolved::%s::%s", cleanedPid, pidType.toLowerCase().trim());
}

View File

@ -29,7 +29,7 @@ class IdentifierFactoryTest {
"publication_doi2.json", "50|doi_________::79dbc7a2a56dc1532659f9038843256e", true);
verifyIdentifier(
"publication_doi3.json", "50|pmc_________::94e4cb08c93f8733b48e2445d04002ac", true);
"publication_doi3.json", "50|pmc_________::e2a339e0e11bfbf55462e14a07f1b304", true);
verifyIdentifier(
"publication_doi4.json", "50|od______2852::38861c44e6052a8d49f59a4c39ba5e66", true);
@ -41,7 +41,7 @@ class IdentifierFactoryTest {
"publication_pmc1.json", "50|DansKnawCris::0829b5191605bdbea36d6502b8c1ce1f", true);
verifyIdentifier(
"publication_pmc2.json", "50|pmc_________::94e4cb08c93f8733b48e2445d04002ac", true);
"publication_pmc2.json", "50|pmc_________::e2a339e0e11bfbf55462e14a07f1b304", true);
verifyIdentifier(
"publication_openapc.json", "50|doi_________::79dbc7a2a56dc1532659f9038843256e", true);

View File

@ -179,7 +179,7 @@ class OafMapperUtilsTest {
assertEquals(
ModelConstants.DATASET_RESULTTYPE_CLASSID,
((Result) MergeUtils
.merge(p2, d1))
.merge(p2, d1, true))
.getResulttype()
.getClassid());
}

View File

@ -29,7 +29,7 @@
},
{
"qualifier": {"classid": "pmc"},
"value": "21459329"
"value": "PMC21459329"
}
]
}

View File

@ -13,7 +13,7 @@
},
{
"qualifier":{"classid":"pmc"},
"value":"21459329"
"value":"PMC21459329"
}
]
}

View File

@ -2,31 +2,41 @@
package eu.dnetlib.pace.clustering;
import java.util.*;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import java.util.stream.Collectors;
import org.apache.commons.lang3.StringUtils;
import eu.dnetlib.pace.config.Config;
@ClusteringClass("keywordsclustering")
public class KeywordsClustering extends AbstractClusteringFunction {
@ClusteringClass("legalnameclustering")
public class LegalnameClustering extends AbstractClusteringFunction {
public KeywordsClustering(Map<String, Object> params) {
private static final Pattern CITY_CODE_PATTERN = Pattern.compile("city::\\d+");
private static final Pattern KEYWORD_CODE_PATTERN = Pattern.compile("key::\\d+");
public LegalnameClustering(Map<String, Object> params) {
super(params);
}
public Set<String> getRegexList(String input, Pattern codeRegex) {
Matcher matcher = codeRegex.matcher(input);
Set<String> cities = new HashSet<>();
while (matcher.find()) {
cities.add(matcher.group());
}
return cities;
}
@Override
protected Collection<String> doApply(final Config conf, String s) {
// takes city codes and keywords codes without duplicates
Set<String> keywords = getKeywords(s, conf.translationMap(), paramOrDefault("windowSize", 4));
Set<String> cities = getCities(s, paramOrDefault("windowSize", 4));
// list of combination to return as result
final Collection<String> combinations = new LinkedHashSet<String>();
for (String keyword : keywordsToCodes(keywords, conf.translationMap())) {
for (String city : citiesToCodes(cities)) {
for (String keyword : getRegexList(s, KEYWORD_CODE_PATTERN)) {
for (String city : getRegexList(s, CITY_CODE_PATTERN)) {
combinations.add(keyword + "-" + city);
if (combinations.size() >= paramOrDefault("max", 2)) {
return combinations;
@ -42,9 +52,6 @@ public class KeywordsClustering extends AbstractClusteringFunction {
return fields
.stream()
.filter(f -> !f.isEmpty())
.map(KeywordsClustering::cleanup)
.map(KeywordsClustering::normalize)
.map(s -> filterAllStopWords(s))
.map(s -> doApply(conf, s))
.map(c -> filterBlacklisted(c, ngramBlacklist))
.flatMap(c -> c.stream())

View File

@ -38,7 +38,7 @@ public class NumAuthorsTitleSuffixPrefixChain extends AbstractClusteringFunction
@Override
protected Collection<String> doApply(Config conf, String s) {
return suffixPrefixChain(cleanup(s), param("mod"));
return suffixPrefixChain(cleanup(s), paramOrDefault("mod", 10));
}
private Collection<String> suffixPrefixChain(String s, int mod) {

View File

@ -27,6 +27,14 @@ public class AbstractPaceFunctions extends PaceCommonUtils {
private static Map<String, String> cityMap = AbstractPaceFunctions
.loadMapFromClasspath("/eu/dnetlib/pace/config/city_map.csv");
// keywords map to be used when translating the keyword names into codes
private static Map<String, String> keywordMap = AbstractPaceFunctions
.loadMapFromClasspath("/eu/dnetlib/pace/config/translation_map.csv");
// country map to be used when inferring the country from the city name
private static Map<String, String> countryMap = AbstractPaceFunctions
.loadCountryMapFromClasspath("/eu/dnetlib/pace/config/country_map.csv");
// list of stopwords in different languages
protected static Set<String> stopwords_gr = loadFromClasspath("/eu/dnetlib/pace/config/stopwords_gr.txt");
protected static Set<String> stopwords_en = loadFromClasspath("/eu/dnetlib/pace/config/stopwords_en.txt");
@ -74,6 +82,64 @@ public class AbstractPaceFunctions extends PaceCommonUtils {
return s12;
}
public static String countryInference(final String original, String inferFrom) {
if (!original.equalsIgnoreCase("unknown"))
return original;
inferFrom = cleanup(inferFrom);
inferFrom = normalize(inferFrom);
inferFrom = filterAllStopWords(inferFrom);
Set<String> cities = getCities(inferFrom, 4);
return citiesToCountry(cities).stream().filter(Objects::nonNull).findFirst().orElse("UNKNOWN");
}
public static String cityInference(String original) {
original = cleanup(original);
original = normalize(original);
original = filterAllStopWords(original);
Set<String> cities = getCities(original, 4);
for (String city : cities) {
original = original.replaceAll(city, cityMap.get(city));
}
return original;
}
public static String keywordInference(String original) {
original = cleanup(original);
original = normalize(original);
original = filterAllStopWords(original);
Set<String> keywords = getKeywords(original, keywordMap, 4);
for (String keyword : keywords) {
original = original.replaceAll(keyword, keywordMap.get(keyword));
}
return original;
}
public static String cityKeywordInference(String original) {
original = cleanup(original);
original = normalize(original);
original = filterAllStopWords(original);
Set<String> keywords = getKeywords(original, keywordMap, 4);
Set<String> cities = getCities(original, 4);
for (String keyword : keywords) {
original = original.replaceAll(keyword, keywordMap.get(keyword));
}
for (String city : cities) {
original = original.replaceAll(city, cityMap.get(city));
}
return original;
}
protected static String fixXML(final String a) {
return a
@ -208,6 +274,30 @@ public class AbstractPaceFunctions extends PaceCommonUtils {
return m;
}
public static Map<String, String> loadCountryMapFromClasspath(final String classpath) {
Transliterator transliterator = Transliterator.getInstance("Any-Eng");
final Map<String, String> m = new HashMap<>();
try {
for (final String s : IOUtils
.readLines(AbstractPaceFunctions.class.getResourceAsStream(classpath), StandardCharsets.UTF_8)) {
// string is like this: country_code;city1;city2;city3
String[] line = s.split(";");
String value = line[0];
for (int i = 1; i < line.length; i++) {
String city = fixAliases(transliterator.transliterate(line[i].toLowerCase()));
String code = cityMap.get(city);
m.put(code, value);
}
}
} catch (final Throwable e) {
return new HashMap<>();
}
return m;
}
public static String removeKeywords(String s, Set<String> keywords) {
s = " " + s + " ";
@ -237,6 +327,10 @@ public class AbstractPaceFunctions extends PaceCommonUtils {
return toCodes(keywords, cityMap);
}
public static Set<String> citiesToCountry(Set<String> cities) {
return toCodes(toCodes(cities, cityMap), countryMap);
}
protected static String firstLC(final String s) {
return StringUtils.substring(s, 0, 1).toLowerCase();
}

View File

@ -47,9 +47,37 @@ public class FieldDef implements Serializable {
private String clean;
private String infer;
private String inferenceFrom;
public FieldDef() {
}
public FieldDef clone() {
FieldDef fieldDef = new FieldDef();
fieldDef.setName(this.name);
fieldDef.setPath(this.path);
fieldDef.setType(this.type);
fieldDef.setOverrideMatch(this.overrideMatch);
fieldDef.setSize(this.size);
fieldDef.setLength(this.length);
fieldDef.setFilter(this.filter);
fieldDef.setSorted(this.sorted);
fieldDef.setClean(this.clean);
fieldDef.setInfer(this.infer);
fieldDef.setInferenceFrom(this.inferenceFrom);
return fieldDef;
}
public String getInferenceFrom() {
return inferenceFrom;
}
public void setInferenceFrom(final String inferenceFrom) {
this.inferenceFrom = inferenceFrom;
}
public String getName() {
return name;
}
@ -126,6 +154,14 @@ public class FieldDef implements Serializable {
this.clean = clean;
}
public String getInfer() {
return infer;
}
public void setInfer(String infer) {
this.infer = infer;
}
@Override
public String toString() {
try {

View File

@ -19,48 +19,10 @@ case class SparkDeduper(conf: DedupConfig) extends Serializable {
val model: SparkModel = SparkModel(conf)
val dedup: (Dataset[Row] => Dataset[Row]) = df => {
df.transform(filterAndCleanup)
.transform(generateClustersWithCollect)
df.transform(generateClustersWithCollect)
.transform(processBlocks)
}
val filterAndCleanup: (Dataset[Row] => Dataset[Row]) = df => {
val df_with_filters = conf.getPace.getModel.asScala.foldLeft(df)((res, fdef) => {
if (conf.blacklists.containsKey(fdef.getName)) {
res.withColumn(
fdef.getName + "_filtered",
filterColumnUDF(fdef).apply(new Column(fdef.getName))
)
} else {
res
}
})
df_with_filters
}
def filterColumnUDF(fdef: FieldDef): UserDefinedFunction = {
val blacklist: Predicate[String] = conf.blacklists().get(fdef.getName)
if (blacklist == null) {
throw new IllegalArgumentException("Column: " + fdef.getName + " does not have any filter")
} else {
fdef.getType match {
case Type.List | Type.JSON =>
udf[Array[String], Array[String]](values => {
values.filter((v: String) => !blacklist.test(v))
})
case _ =>
udf[String, String](v => {
if (blacklist.test(v)) ""
else v
})
}
}
}
val generateClustersWithCollect: (Dataset[Row] => Dataset[Row]) = df_with_filters => {
var df_with_clustering_keys: Dataset[Row] = null

View File

@ -5,12 +5,12 @@ import eu.dnetlib.pace.common.AbstractPaceFunctions
import eu.dnetlib.pace.config.{DedupConfig, Type}
import eu.dnetlib.pace.util.{MapDocumentUtil, SparkCompatUtils}
import org.apache.commons.lang3.StringUtils
import org.apache.spark.sql.catalyst.encoders.RowEncoder
import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
import org.apache.spark.sql.types.{DataTypes, Metadata, StructField, StructType}
import org.apache.spark.sql.{Dataset, Row}
import java.util.Locale
import java.util.function.Predicate
import java.util.regex.Pattern
import scala.collection.JavaConverters._
@ -29,8 +29,20 @@ case class SparkModel(conf: DedupConfig) {
identifier.setName(identifierFieldName)
identifier.setType(Type.String)
// create fields for blacklist
val filtered = conf.getPace.getModel.asScala.flatMap(fdef => {
if (conf.blacklists().containsKey(fdef.getName)) {
val fdef_filtered = fdef.clone()
fdef_filtered.setName(fdef.getName + "_filtered")
Seq(fdef, fdef_filtered)
}
else {
Seq(fdef)
}
})
// Construct a Spark StructType representing the schema of the model
(Seq(identifier) ++ conf.getPace.getModel.asScala)
(Seq(identifier) ++ filtered)
.foldLeft(
new StructType()
)((resType, fieldDef) => {
@ -44,7 +56,6 @@ case class SparkModel(conf: DedupConfig) {
})
})
}
val identityFieldPosition: Int = schema.fieldIndex(identifierFieldName)
@ -52,7 +63,8 @@ case class SparkModel(conf: DedupConfig) {
val orderingFieldPosition: Int = schema.fieldIndex(orderingFieldName)
val parseJsonDataset: (Dataset[String] => Dataset[Row]) = df => {
df.map(r => rowFromJson(r))(SparkCompatUtils.encoderFor(schema))
df
.map(r => rowFromJson(r))(SparkCompatUtils.encoderFor(schema))
}
def rowFromJson(json: String): Row = {
@ -64,41 +76,63 @@ case class SparkModel(conf: DedupConfig) {
schema.fieldNames.zipWithIndex.foldLeft(values) {
case ((res, (fname, index))) =>
val fdef = conf.getPace.getModelMap.get(fname)
val fdef = conf.getPace.getModelMap.get(fname.split("_filtered")(0))
if (fdef != null) {
res(index) = fdef.getType match {
case Type.String | Type.Int =>
MapDocumentUtil.truncateValue(
MapDocumentUtil.getJPathString(fdef.getPath, documentContext),
fdef.getLength
)
if (!fname.contains("_filtered")) { //process fields with no blacklist
res(index) = fdef.getType match {
case Type.String | Type.Int =>
MapDocumentUtil.truncateValue(
MapDocumentUtil.getJPathString(fdef.getPath, documentContext),
fdef.getLength
)
case Type.URL =>
var uv = MapDocumentUtil.getJPathString(fdef.getPath, documentContext)
if (!URL_REGEX.matcher(uv).matches)
uv = ""
uv
case Type.URL =>
var uv = MapDocumentUtil.getJPathString(fdef.getPath, documentContext)
if (!URL_REGEX.matcher(uv).matches)
uv = ""
uv
case Type.List | Type.JSON =>
MapDocumentUtil.truncateList(
MapDocumentUtil.getJPathList(fdef.getPath, documentContext, fdef.getType),
fdef.getSize
).asScala
case Type.List | Type.JSON =>
MapDocumentUtil.truncateList(
MapDocumentUtil.getJPathList(fdef.getPath, documentContext, fdef.getType),
fdef.getSize
).asScala
case Type.StringConcat =>
val jpaths = CONCAT_REGEX.split(fdef.getPath)
case Type.StringConcat =>
val jpaths = CONCAT_REGEX.split(fdef.getPath)
MapDocumentUtil.truncateValue(
jpaths
.map(jpath => MapDocumentUtil.getJPathString(jpath, documentContext))
.mkString(" "),
fdef.getLength
)
MapDocumentUtil.truncateValue(
jpaths
.map(jpath => MapDocumentUtil.getJPathString(jpath, documentContext))
.mkString(" "),
fdef.getLength
)
case Type.DoubleArray =>
MapDocumentUtil.getJPathArray(fdef.getPath, json)
case Type.DoubleArray =>
MapDocumentUtil.getJPathArray(fdef.getPath, json)
}
}
else { //process fields with blacklist
val blacklist: Predicate[String] = conf.blacklists().get(fdef.getName)
res(index) = fdef.getType match {
case Type.List | Type.JSON =>
MapDocumentUtil.truncateList(
MapDocumentUtil.getJPathList(fdef.getPath, documentContext, fdef.getType),
fdef.getSize
).asScala.filter((v: String) => !blacklist.test(v))
case _ =>
val value: String = MapDocumentUtil.truncateValue(
MapDocumentUtil.getJPathString(fdef.getPath, documentContext),
fdef.getLength
)
if (blacklist.test(value)) "" else value
}
}
val filter = fdef.getFilter
@ -123,12 +157,22 @@ case class SparkModel(conf: DedupConfig) {
case _ => res(index)
}
}
if (StringUtils.isNotBlank(fdef.getInfer)) {
val inferFrom: String = if (StringUtils.isNotBlank(fdef.getInferenceFrom)) fdef.getInferenceFrom else fdef.getPath
res(index) = res(index) match {
case x: Seq[String] => x.map(inference(_, MapDocumentUtil.getJPathString(inferFrom, documentContext), fdef.getInfer))
case _ => inference(res(index).toString, MapDocumentUtil.getJPathString(inferFrom, documentContext), fdef.getInfer)
}
}
}
res
}
new GenericRowWithSchema(values, schema)
}
def clean(value: String, cleantype: String) : String = {
@ -146,5 +190,17 @@ case class SparkModel(conf: DedupConfig) {
res
}
def inference(value: String, inferfrom: String, infertype: String) : String = {
val res = infertype match {
case "country" => AbstractPaceFunctions.countryInference(value, inferfrom)
case "city" => AbstractPaceFunctions.cityInference(value)
case "keyword" => AbstractPaceFunctions.keywordInference(value)
case "city_keyword" => AbstractPaceFunctions.cityKeywordInference(value)
case _ => value
}
res
}
}

View File

@ -1,48 +0,0 @@
package eu.dnetlib.pace.tree;
import java.util.Map;
import java.util.Set;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("cityMatch")
public class CityMatch extends AbstractStringComparator {
private Map<String, String> params;
public CityMatch(Map<String, String> params) {
super(params);
this.params = params;
}
@Override
public double distance(final String a, final String b, final Config conf) {
String ca = cleanup(a);
String cb = cleanup(b);
ca = normalize(ca);
cb = normalize(cb);
ca = filterAllStopWords(ca);
cb = filterAllStopWords(cb);
Set<String> cities1 = getCities(ca, Integer.parseInt(params.getOrDefault("windowSize", "4")));
Set<String> cities2 = getCities(cb, Integer.parseInt(params.getOrDefault("windowSize", "4")));
Set<String> codes1 = citiesToCodes(cities1);
Set<String> codes2 = citiesToCodes(cities2);
// if no cities are detected, the comparator gives 1.0
if (codes1.isEmpty() && codes2.isEmpty())
return 1.0;
else {
if (codes1.isEmpty() ^ codes2.isEmpty())
return -1; // undefined if one of the two has no cities
return commonElementsPercentage(codes1, codes2);
}
}
}

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@ -0,0 +1,51 @@
package eu.dnetlib.pace.tree;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("codeMatch")
public class CodeMatch extends AbstractStringComparator {
private Map<String, String> params;
private Pattern CODE_REGEX;
public CodeMatch(Map<String, String> params) {
super(params);
this.params = params;
this.CODE_REGEX = Pattern.compile(params.getOrDefault("codeRegex", "[a-zA-Z]+::\\d+"));
}
public Set<String> getRegexList(String input) {
Matcher matcher = this.CODE_REGEX.matcher(input);
Set<String> cities = new HashSet<>();
while (matcher.find()) {
cities.add(matcher.group());
}
return cities;
}
@Override
public double distance(final String a, final String b, final Config conf) {
Set<String> codes1 = getRegexList(a);
Set<String> codes2 = getRegexList(b);
// if no codes are detected, the comparator gives 1.0
if (codes1.isEmpty() && codes2.isEmpty())
return 1.0;
else {
if (codes1.isEmpty() ^ codes2.isEmpty())
return -1; // undefined if one of the two has no codes
return commonElementsPercentage(codes1, codes2);
}
}
}

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@ -0,0 +1,54 @@
package eu.dnetlib.pace.tree;
import java.util.Map;
import java.util.Set;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("countryMatch")
public class CountryMatch extends AbstractStringComparator {
private Map<String, String> params;
public CountryMatch(Map<String, String> params) {
super(params, new com.wcohen.ss.JaroWinkler());
this.params = params;
}
public CountryMatch(final double weight) {
super(weight, new com.wcohen.ss.JaroWinkler());
}
protected CountryMatch(final double weight, final AbstractStringDistance ssalgo) {
super(weight, ssalgo);
}
@Override
public double distance(final String a, final String b, final Config conf) {
if (a.isEmpty() || b.isEmpty()) {
return -1.0; // return -1 if a field is missing
}
if (a.equalsIgnoreCase("unknown") || b.equalsIgnoreCase("unknown")) {
return -1.0; // return -1 if a country is UNKNOWN
}
return a.equals(b) ? 1.0 : 0;
}
@Override
public double getWeight() {
return super.weight;
}
@Override
protected double normalize(final double d) {
return d;
}
}

View File

@ -0,0 +1,67 @@
package eu.dnetlib.pace.tree;
import java.time.DateTimeException;
import java.time.LocalDate;
import java.time.Period;
import java.time.format.DateTimeFormatter;
import java.util.Locale;
import java.util.Map;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("dateRange")
public class DateRange extends AbstractStringComparator {
int YEAR_RANGE;
public DateRange(Map<String, String> params) {
super(params, new com.wcohen.ss.JaroWinkler());
YEAR_RANGE = Integer.parseInt(params.getOrDefault("year_range", "3"));
}
public DateRange(final double weight) {
super(weight, new com.wcohen.ss.JaroWinkler());
}
protected DateRange(final double weight, final AbstractStringDistance ssalgo) {
super(weight, ssalgo);
}
public static boolean isNumeric(String str) {
return str.matches("\\d+"); // match a number with optional '-' and decimal.
}
@Override
public double distance(final String a, final String b, final Config conf) {
if (a.isEmpty() || b.isEmpty()) {
return -1.0; // return -1 if a field is missing
}
try {
DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd", Locale.ENGLISH);
LocalDate d1 = LocalDate.parse(a, formatter);
LocalDate d2 = LocalDate.parse(b, formatter);
Period period = Period.between(d1, d2);
return period.getYears() <= YEAR_RANGE ? 1.0 : 0.0;
} catch (DateTimeException e) {
return -1.0;
}
}
@Override
public double getWeight() {
return super.weight;
}
@Override
protected double normalize(final double d) {
return d;
}
}

View File

@ -0,0 +1,59 @@
package eu.dnetlib.pace.tree;
import java.util.Map;
import java.util.Set;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("jaroWinklerLegalname")
public class JaroWinklerLegalname extends AbstractStringComparator {
private Map<String, String> params;
private final String CITY_CODE_REGEX = "city::\\d+";
private final String KEYWORD_CODE_REGEX = "key::\\d+";
public JaroWinklerLegalname(Map<String, String> params) {
super(params, new com.wcohen.ss.JaroWinkler());
this.params = params;
}
public JaroWinklerLegalname(double weight) {
super(weight, new com.wcohen.ss.JaroWinkler());
}
protected JaroWinklerLegalname(double weight, AbstractStringDistance ssalgo) {
super(weight, ssalgo);
}
@Override
public double distance(String a, String b, final Config conf) {
String ca = a.replaceAll(CITY_CODE_REGEX, "").replaceAll(KEYWORD_CODE_REGEX, " ");
String cb = b.replaceAll(CITY_CODE_REGEX, "").replaceAll(KEYWORD_CODE_REGEX, " ");
ca = ca.replaceAll("[ ]{2,}", " ");
cb = cb.replaceAll("[ ]{2,}", " ");
if (ca.isEmpty() && cb.isEmpty())
return 1.0;
else
return normalize(ssalgo.score(ca, cb));
}
@Override
public double getWeight() {
return super.weight;
}
@Override
protected double normalize(double d) {
return d;
}
}

View File

@ -1,74 +0,0 @@
package eu.dnetlib.pace.tree;
import java.util.Map;
import java.util.Set;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("jaroWinklerNormalizedName")
public class JaroWinklerNormalizedName extends AbstractStringComparator {
private Map<String, String> params;
public JaroWinklerNormalizedName(Map<String, String> params) {
super(params, new com.wcohen.ss.JaroWinkler());
this.params = params;
}
public JaroWinklerNormalizedName(double weight) {
super(weight, new com.wcohen.ss.JaroWinkler());
}
protected JaroWinklerNormalizedName(double weight, AbstractStringDistance ssalgo) {
super(weight, ssalgo);
}
@Override
public double distance(String a, String b, final Config conf) {
String ca = cleanup(a);
String cb = cleanup(b);
ca = normalize(ca);
cb = normalize(cb);
ca = filterAllStopWords(ca);
cb = filterAllStopWords(cb);
Set<String> keywords1 = getKeywords(
ca, conf.translationMap(), Integer.parseInt(params.getOrDefault("windowSize", "4")));
Set<String> keywords2 = getKeywords(
cb, conf.translationMap(), Integer.parseInt(params.getOrDefault("windowSize", "4")));
Set<String> cities1 = getCities(ca, Integer.parseInt(params.getOrDefault("windowSize", "4")));
Set<String> cities2 = getCities(cb, Integer.parseInt(params.getOrDefault("windowSize", "4")));
ca = removeKeywords(ca, keywords1);
ca = removeKeywords(ca, cities1);
cb = removeKeywords(cb, keywords2);
cb = removeKeywords(cb, cities2);
ca = ca.replaceAll("[ ]{2,}", " ");
cb = cb.replaceAll("[ ]{2,}", " ");
if (ca.isEmpty() && cb.isEmpty())
return 1.0;
else
return normalize(ssalgo.score(ca, cb));
}
@Override
public double getWeight() {
return super.weight;
}
@Override
protected double normalize(double d) {
return d;
}
}

View File

@ -41,21 +41,38 @@ public class JsonListMatch extends AbstractListComparator {
return -1;
}
final Set<String> ca = sa.stream().map(this::toComparableString).collect(Collectors.toSet());
final Set<String> cb = sb.stream().map(this::toComparableString).collect(Collectors.toSet());
Set<String> ca = sa.stream().map(this::toComparableString).collect(Collectors.toSet());
Set<String> cb = sb.stream().map(this::toComparableString).collect(Collectors.toSet());
int incommon = Sets.intersection(ca, cb).size();
int simDiff = Sets.symmetricDifference(ca, cb).size();
switch (MODE) {
case "count":
return Sets.intersection(ca, cb).size();
if (incommon + simDiff == 0) {
return 0.0;
case "percentage":
int incommon = Sets.intersection(ca, cb).size();
int simDiff = Sets.symmetricDifference(ca, cb).size();
if (incommon + simDiff == 0) {
return 0.0;
}
return (double) incommon / (incommon + simDiff);
case "type":
Set<String> typesA = ca.stream().map(s -> s.split("::")[0]).collect(Collectors.toSet());
Set<String> typesB = cb.stream().map(s -> s.split("::")[0]).collect(Collectors.toSet());
Set<String> types = Sets.intersection(typesA, typesB);
if (types.isEmpty()) // if no common type, it is impossible to compare
return -1;
ca = ca.stream().filter(s -> types.contains(s.split("::")[0])).collect(Collectors.toSet());
cb = cb.stream().filter(s -> types.contains(s.split("::")[0])).collect(Collectors.toSet());
return (double) Sets.intersection(ca, cb).size() / types.size();
default:
return -1;
}
if (MODE.equals("percentage"))
return (double) incommon / (incommon + simDiff);
else
return incommon;
}
// converts every json into a comparable string basing on parameters
@ -69,7 +86,7 @@ public class JsonListMatch extends AbstractListComparator {
// for each path in the param list
for (String key : params.keySet().stream().filter(k -> k.contains("jpath")).collect(Collectors.toList())) {
String path = params.get(key);
String value = MapDocumentUtil.getJPathString(path, documentContext);
String value = MapDocumentUtil.getJPathString(path, documentContext).toLowerCase();
if (value == null || value.isEmpty())
value = "";
st.append(value);

View File

@ -1,50 +0,0 @@
package eu.dnetlib.pace.tree;
import java.util.Map;
import java.util.Set;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("keywordMatch")
public class KeywordMatch extends AbstractStringComparator {
Map<String, String> params;
public KeywordMatch(Map<String, String> params) {
super(params);
this.params = params;
}
@Override
public double distance(final String a, final String b, final Config conf) {
String ca = cleanup(a);
String cb = cleanup(b);
ca = normalize(ca);
cb = normalize(cb);
ca = filterAllStopWords(ca);
cb = filterAllStopWords(cb);
Set<String> keywords1 = getKeywords(
ca, conf.translationMap(), Integer.parseInt(params.getOrDefault("windowSize", "4")));
Set<String> keywords2 = getKeywords(
cb, conf.translationMap(), Integer.parseInt(params.getOrDefault("windowSize", "4")));
Set<String> codes1 = toCodes(keywords1, conf.translationMap());
Set<String> codes2 = toCodes(keywords2, conf.translationMap());
// if no cities are detected, the comparator gives 1.0
if (codes1.isEmpty() && codes2.isEmpty())
return 1.0;
else {
if (codes1.isEmpty() ^ codes2.isEmpty())
return -1.0; // undefined if one of the two has no keywords
return commonElementsPercentage(codes1, codes2);
}
}
}

File diff suppressed because one or more lines are too long

View File

@ -8,6 +8,7 @@ import org.junit.jupiter.api.Test;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
import com.mongodb.connection.Cluster;
import eu.dnetlib.pace.AbstractPaceTest;
import eu.dnetlib.pace.common.AbstractPaceFunctions;
@ -177,41 +178,16 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
}
@Test
public void testKeywordsClustering() {
public void legalnameClustering() {
final ClusteringFunction cf = new KeywordsClustering(params);
final String s = "Polytechnic University of Turin";
final ClusteringFunction cf = new LegalnameClustering(params);
String s = "key::1 key::2 city::1";
System.out.println(s);
System.out.println(cf.apply(conf, Lists.newArrayList(s)));
final String s1 = "POLITECNICO DI TORINO";
System.out.println(s1);
System.out.println(cf.apply(conf, Lists.newArrayList(s1)));
final String s2 = "Universita farmaceutica culturale di milano bergamo";
System.out.println("s2 = " + s2);
System.out.println(cf.apply(conf, Lists.newArrayList(s2)));
final String s3 = "universita universita milano milano";
System.out.println("s3 = " + s3);
System.out.println(cf.apply(conf, Lists.newArrayList(s3)));
final String s4 = "Politechniki Warszawskiej (Warsaw University of Technology)";
System.out.println("s4 = " + s4);
System.out.println(cf.apply(conf, Lists.newArrayList(s4)));
final String s5 = "İstanbul Ticarət Universiteti";
System.out.println("s5 = " + s5);
System.out.println(cf.apply(conf, Lists.newArrayList(s5)));
final String s6 = "National and Kapodistrian University of Athens";
System.out.println("s6 = " + s6);
System.out.println(cf.apply(conf, Lists.newArrayList(s6)));
final String s7 = "Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών";
System.out.println("s7 = " + s7);
System.out.println(cf.apply(conf, Lists.newArrayList(s7)));
s = "key::1 key::2 city::1 city::2";
System.out.println(s);
System.out.println(cf.apply(conf, Lists.newArrayList(s)));
}
@Test
@ -251,4 +227,17 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
System.out.println(cf.apply(conf, Lists.newArrayList(s)));
}
@Test
public void testNumAuthorsTitleSuffixPrefixChain() {
final ClusteringFunction cf = new NumAuthorsTitleSuffixPrefixChain(params);
params.put("mod", 10);
final String title = "PARP-2 Regulates SIRT1 Expression and Whole-Body Energy Expenditure";
final String num_authors = "10";
System.out.println("title = " + title);
System.out.println("num_authors = " + num_authors);
System.out.println(cf.apply(conf, Lists.newArrayList(num_authors, title)));
}
}

View File

@ -1,8 +1,7 @@
package eu.dnetlib.pace.common;
import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertTrue;
import static org.junit.jupiter.api.Assertions.*;
import org.junit.jupiter.api.*;
@ -54,4 +53,56 @@ public class PaceFunctionTest extends AbstractPaceFunctions {
System.out.println("Fixed aliases : " + fixAliases(TEST_STRING));
}
@Test()
public void countryInferenceTest_NPE() {
assertThrows(
NullPointerException.class,
() -> countryInference("UNKNOWN", null),
"Expected countryInference() to throw an NPE");
}
@Test
public void countryInferenceTest() {
assertEquals("UNKNOWN", countryInference("UNKNOWN", ""));
assertEquals("IT", countryInference("UNKNOWN", "Università di Bologna"));
assertEquals("UK", countryInference("UK", "Università di Bologna"));
assertEquals("IT", countryInference("UNKNOWN", "Universiteé de Naples"));
assertEquals("UNKNOWN", countryInference("UNKNOWN", "Università del Lavoro"));
}
@Test
public void cityInferenceTest() {
assertEquals("universita city::3181928", cityInference("Università di Bologna"));
assertEquals("university city::3170647", cityInference("University of Pisa"));
assertEquals("universita", cityInference("Università del lavoro"));
assertEquals("universita city::3173331 city::3169522", cityInference("Università di Modena e Reggio Emilia"));
}
@Test
public void keywordInferenceTest() {
assertEquals("key::41 turin", keywordInference("Polytechnic University of Turin"));
assertEquals("key::41 torino", keywordInference("POLITECNICO DI TORINO"));
assertEquals(
"key::1 key::60 key::81 milano bergamo",
keywordInference("Universita farmaceutica culturale di milano bergamo"));
assertEquals("key::1 key::1 milano milano", keywordInference("universita universita milano milano"));
assertEquals(
"key::10 kapodistriako panepistemio athenon",
keywordInference("Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών"));
}
@Test
public void cityKeywordInferenceTest() {
assertEquals("key::41 city::3165524", cityKeywordInference("Polytechnic University of Turin"));
assertEquals("key::41 city::3165524", cityKeywordInference("POLITECNICO DI TORINO"));
assertEquals(
"key::1 key::60 key::81 city::3173435 city::3182164",
cityKeywordInference("Universita farmaceutica culturale di milano bergamo"));
assertEquals(
"key::1 key::1 city::3173435 city::3173435", cityKeywordInference("universita universita milano milano"));
assertEquals(
"key::10 kapodistriako panepistemio city::264371",
cityKeywordInference("Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών"));
}
}

View File

@ -35,6 +35,7 @@ public class ComparatorTest extends AbstractPaceTest {
params.put("name_th", "0.95");
params.put("jpath_value", "$.value");
params.put("jpath_classid", "$.qualifier.classid");
params.put("codeRegex", "key::\\d+");
}
@Test
@ -44,53 +45,61 @@ public class ComparatorTest extends AbstractPaceTest {
}
@Test
public void cityMatchTest() {
final CityMatch cityMatch = new CityMatch(params);
public void codeMatchTest() {
CodeMatch codeMatch = new CodeMatch(params);
// both names with no cities
assertEquals(1.0, cityMatch.distance("Università", "Centro di ricerca", conf));
// both names with no codes
assertEquals(1.0, codeMatch.distance("testing1", "testing2", conf));
// one of the two names with no cities
assertEquals(-1.0, cityMatch.distance("Università di Bologna", "Centro di ricerca", conf));
// one of the two names with no codes
assertEquals(-1.0, codeMatch.distance("testing1 key::1", "testing", conf));
// both names with cities (same)
assertEquals(1.0, cityMatch.distance("Universita di Bologna", "Biblioteca di Bologna", conf));
// both names with codes (same)
assertEquals(1.0, codeMatch.distance("testing1 key::1", "testing2 key::1", conf));
// both names with cities (different)
assertEquals(0.0, cityMatch.distance("Universita di Bologna", "Universita di Torino", conf));
assertEquals(0.0, cityMatch.distance("Franklin College", "Concordia College", conf));
// both names with codes (different)
assertEquals(0.0, codeMatch.distance("testing1 key::1", "testing2 key::2", conf));
// particular cases
assertEquals(1.0, cityMatch.distance("Free University of Bozen-Bolzano", "Università di Bolzano", conf));
assertEquals(
1.0,
cityMatch
.distance(
"Politechniki Warszawskiej (Warsaw University of Technology)", "Warsaw University of Technology",
conf));
// both names with codes (1 same, 1 different)
assertEquals(0.5, codeMatch.distance("key::1 key::2 testing1", "key::1 testing", conf));
// failing becasuse 'Allen' is a transliterrated greek stopword
// assertEquals(-1.0, cityMatch.distance("Allen (United States)", "United States Military Academy", conf));
assertEquals(-1.0, cityMatch.distance("Washington (United States)", "United States Military Academy", conf));
}
@Test
public void keywordMatchTest() {
params.put("threshold", "0.5");
public void datasetVersionCodeMatchTest() {
final KeywordMatch keywordMatch = new KeywordMatch(params);
params.put("codeRegex", "(?=[\\w-]*[a-zA-Z])(?=[\\w-]*\\d)[\\w-]+");
CodeMatch codeMatch = new CodeMatch(params);
// names have different codes
assertEquals(
0.5, keywordMatch.distance("Biblioteca dell'Universita di Bologna", "Università di Bologna", conf));
assertEquals(1.0, keywordMatch.distance("Universita degli studi di Pisa", "Universita di Pisa", conf));
assertEquals(1.0, keywordMatch.distance("Polytechnic University of Turin", "POLITECNICO DI TORINO", conf));
assertEquals(1.0, keywordMatch.distance("Istanbul Commerce University", "İstanbul Ticarət Universiteti", conf));
assertEquals(1.0, keywordMatch.distance("Franklin College", "Concordia College", conf));
assertEquals(2.0 / 3.0, keywordMatch.distance("University of Georgia", "Georgia State University", conf));
assertEquals(0.5, keywordMatch.distance("University College London", "University of London", conf));
assertEquals(0.5, keywordMatch.distance("Washington State University", "University of Washington", conf));
assertEquals(-1.0, keywordMatch.distance("Allen (United States)", "United States Military Academy", conf));
0.0,
codeMatch
.distance(
"physical oceanography at ctd station june 1998 ev02a",
"physical oceanography at ctd station june 1998 ir02", conf));
// names have same code
assertEquals(
1.0,
codeMatch
.distance(
"physical oceanography at ctd station june 1998 ev02a",
"physical oceanography at ctd station june 1998 ev02a", conf));
// code is not in both names
assertEquals(
-1,
codeMatch
.distance(
"physical oceanography at ctd station june 1998",
"physical oceanography at ctd station june 1998 ev02a", conf));
assertEquals(
1.0,
codeMatch
.distance(
"physical oceanography at ctd station june 1998", "physical oceanography at ctd station june 1998",
conf));
}
@Test
@ -155,15 +164,15 @@ public class ComparatorTest extends AbstractPaceTest {
}
@Test
public void jaroWinklerNormalizedNameTest() {
public void jaroWinklerLegalnameTest() {
final JaroWinklerNormalizedName jaroWinklerNormalizedName = new JaroWinklerNormalizedName(params);
final JaroWinklerLegalname jaroWinklerLegalname = new JaroWinklerLegalname(params);
double result = jaroWinklerNormalizedName
.distance("AT&T (United States)", "United States Military Academy", conf);
double result = jaroWinklerLegalname
.distance("AT&T (United States)", "United States key::2 key::1", conf);
System.out.println("result = " + result);
result = jaroWinklerNormalizedName.distance("NOAA - Servicio Meteorol\\u00f3gico Nacional", "NOAA - NWS", conf);
result = jaroWinklerLegalname.distance("NOAA - Servicio Meteorol\\u00f3gico Nacional", "NOAA - NWS", conf);
System.out.println("result = " + result);
}
@ -285,15 +294,15 @@ public class ComparatorTest extends AbstractPaceTest {
List<String> a = createFieldList(
Arrays
.asList(
"{\"datainfo\":{\"deletedbyinference\":false,\"inferenceprovenance\":null,\"inferred\":false,\"invisible\":false,\"provenanceaction\":{\"classid\":\"sysimport:actionset\",\"classname\":\"Harvested\",\"schemeid\":\"dnet:provenanceActions\",\"schemename\":\"dnet:provenanceActions\"},\"trust\":\"0.9\"},\"qualifier\":{\"classid\":\"doi\",\"classname\":\"Digital Object Identifier\",\"schemeid\":\"dnet:pid_types\",\"schemename\":\"dnet:pid_types\"},\"value\":\"10.1111/pbi.12655\"}"),
"{\"datainfo\":{\"deletedbyinference\":false,\"inferenceprovenance\":null,\"inferred\":false,\"invisible\":false,\"provenanceaction\":{\"classid\":\"sysimport:actionset\",\"classname\":\"Harvested\",\"schemeid\":\"dnet:provenanceActions\",\"schemename\":\"dnet:provenanceActions\"},\"trust\":\"0.9\"},\"qualifier\":{\"classid\":\"grid\",\"classname\":\"GRID Identifier\",\"schemeid\":\"dnet:pid_types\",\"schemename\":\"dnet:pid_types\"},\"value\":\"grid_1\"}",
"{\"datainfo\":{\"deletedbyinference\":false,\"inferenceprovenance\":null,\"inferred\":false,\"invisible\":false,\"provenanceaction\":{\"classid\":\"sysimport:actionset\",\"classname\":\"Harvested\",\"schemeid\":\"dnet:provenanceActions\",\"schemename\":\"dnet:provenanceActions\"},\"trust\":\"0.9\"},\"qualifier\":{\"classid\":\"ror\",\"classname\":\"Research Organization Registry\",\"schemeid\":\"dnet:pid_types\",\"schemename\":\"dnet:pid_types\"},\"value\":\"ror_1\"}"),
"authors");
List<String> b = createFieldList(
Arrays
.asList(
"{\"datainfo\":{\"deletedbyinference\":false,\"inferenceprovenance\":\"\",\"inferred\":false,\"invisible\":false,\"provenanceaction\":{\"classid\":\"sysimport:crosswalk:repository\",\"classname\":\"Harvested\",\"schemeid\":\"dnet:provenanceActions\",\"schemename\":\"dnet:provenanceActions\"},\"trust\":\"0.9\"},\"qualifier\":{\"classid\":\"pmc\",\"classname\":\"PubMed Central ID\",\"schemeid\":\"dnet:pid_types\",\"schemename\":\"dnet:pid_types\"},\"value\":\"PMC5399005\"}",
"{\"datainfo\":{\"deletedbyinference\":false,\"inferenceprovenance\":\"\",\"inferred\":false,\"invisible\":false,\"provenanceaction\":{\"classid\":\"sysimport:crosswalk:repository\",\"classname\":\"Harvested\",\"schemeid\":\"dnet:provenanceActions\",\"schemename\":\"dnet:provenanceActions\"},\"trust\":\"0.9\"},\"qualifier\":{\"classid\":\"pmid\",\"classname\":\"PubMed ID\",\"schemeid\":\"dnet:pid_types\",\"schemename\":\"dnet:pid_types\"},\"value\":\"27775869\"}",
"{\"datainfo\":{\"deletedbyinference\":false,\"inferenceprovenance\":\"\",\"inferred\":false,\"invisible\":false,\"provenanceaction\":{\"classid\":\"user:claim\",\"classname\":\"Linked by user\",\"schemeid\":\"dnet:provenanceActions\",\"schemename\":\"dnet:provenanceActions\"},\"trust\":\"0.9\"},\"qualifier\":{\"classid\":\"doi\",\"classname\":\"Digital Object Identifier\",\"schemeid\":\"dnet:pid_types\",\"schemename\":\"dnet:pid_types\"},\"value\":\"10.1111/pbi.12655\"}",
"{\"datainfo\":{\"deletedbyinference\":false,\"inferenceprovenance\":\"\",\"inferred\":false,\"invisible\":false,\"provenanceaction\":{\"classid\":\"sysimport:crosswalk:repository\",\"classname\":\"Harvested\",\"schemeid\":\"dnet:provenanceActions\",\"schemename\":\"dnet:provenanceActions\"},\"trust\":\"0.9\"},\"qualifier\":{\"classid\":\"handle\",\"classname\":\"Handle\",\"schemeid\":\"dnet:pid_types\",\"schemename\":\"dnet:pid_types\"},\"value\":\"1854/LU-8523529\"}"),
"{\"datainfo\":{\"deletedbyinference\":false,\"inferenceprovenance\":\"\",\"inferred\":false,\"invisible\":false,\"provenanceaction\":{\"classid\":\"sysimport:crosswalk:repository\",\"classname\":\"Harvested\",\"schemeid\":\"dnet:provenanceActions\",\"schemename\":\"dnet:provenanceActions\"},\"trust\":\"0.9\"},\"qualifier\":{\"classid\":\"grid\",\"classname\":\"GRID Identifier\",\"schemeid\":\"dnet:pid_types\",\"schemename\":\"dnet:pid_types\"},\"value\":\"grid_1\"}",
"{\"datainfo\":{\"deletedbyinference\":false,\"inferenceprovenance\":\"\",\"inferred\":false,\"invisible\":false,\"provenanceaction\":{\"classid\":\"sysimport:crosswalk:repository\",\"classname\":\"Harvested\",\"schemeid\":\"dnet:provenanceActions\",\"schemename\":\"dnet:provenanceActions\"},\"trust\":\"0.9\"},\"qualifier\":{\"classid\":\"ror\",\"classname\":\"Research Organization Registry\",\"schemeid\":\"dnet:pid_types\",\"schemename\":\"dnet:pid_types\"},\"value\":\"ror_2\"}",
"{\"datainfo\":{\"deletedbyinference\":false,\"inferenceprovenance\":\"\",\"inferred\":false,\"invisible\":false,\"provenanceaction\":{\"classid\":\"user:claim\",\"classname\":\"Linked by user\",\"schemeid\":\"dnet:provenanceActions\",\"schemename\":\"dnet:provenanceActions\"},\"trust\":\"0.9\"},\"qualifier\":{\"classid\":\"isni\",\"classname\":\"ISNI Identifier\",\"schemeid\":\"dnet:pid_types\",\"schemename\":\"dnet:pid_types\"},\"value\":\"isni_1\"}"),
"authors");
double result = jsonListMatch.compare(a, b, conf);
@ -305,6 +314,13 @@ public class ComparatorTest extends AbstractPaceTest {
result = jsonListMatch.compare(a, b, conf);
assertEquals(1.0, result);
params.put("mode", "type");
jsonListMatch = new JsonListMatch(params);
result = jsonListMatch.compare(a, b, conf);
assertEquals(0.5, result);
}
@Test
@ -336,4 +352,53 @@ public class ComparatorTest extends AbstractPaceTest {
System.out.println("compare = " + compare);
}
@Test
public void countryMatch() {
CountryMatch countryMatch = new CountryMatch(params);
double result = countryMatch.distance("UNKNOWN", "UNKNOWN", conf);
assertEquals(-1.0, result);
result = countryMatch.distance("CL", "UNKNOWN", conf);
assertEquals(-1.0, result);
result = countryMatch.distance("CL", "IT", conf);
assertEquals(0.0, result);
result = countryMatch.distance("CL", "CL", conf);
assertEquals(1.0, result);
}
@Test
public void dateMatch() {
DateRange dateRange = new DateRange(params);
double result = dateRange.distance("2021-05-13", "2023-05-13", conf);
assertEquals(1.0, result);
result = dateRange.distance("2021-05-13", "2025-05-13", conf);
assertEquals(0.0, result);
result = dateRange.distance("", "2020-05-05", conf);
assertEquals(-1.0, result);
result = dateRange.distance("invalid date", "2021-05-02", conf);
assertEquals(-1.0, result);
}
@Test
public void titleVersionMatchTest() {
TitleVersionMatch titleVersionMatch = new TitleVersionMatch(params);
double result = titleVersionMatch
.compare(
"parp 2 regulates sirt 1 expression and whole body energy expenditure",
"parp 2 regulates sirt 1 expression and whole body energy expenditure", conf);
assertEquals(1.0, result);
}
}

View File

@ -12,7 +12,6 @@ import org.junit.jupiter.api.Test;
import eu.dnetlib.pace.model.Person;
public class UtilTest {
static Map<String, String> params;

View File

@ -0,0 +1,113 @@
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
<parent>
<artifactId>dhp</artifactId>
<groupId>eu.dnetlib.dhp</groupId>
<version>1.2.5-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>dhp-shade-package</artifactId>
<description>This module create a jar of all module dependencies</description>
<build>
<plugins>
<plugin>
<artifactId>maven-shade-plugin</artifactId>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<transformers>
<transformer>
<mainClass>eu.dnetlib.dhp.oa.dedup.SparkCreateSimRels</mainClass>
</transformer>
<transformer />
<transformer>
<resource>META-INF/cxf/bus-extensions.txt</resource>
</transformer>
</transformers>
<filters>
<filter>
<artifact>*:*</artifact>
<excludes>
<exclude>META-INF/maven/**</exclude>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
<relocations>
<relocation>
<pattern>com</pattern>
<shadedPattern>repackaged.com.google.common</shadedPattern>
<includes>
<include>com.google.common.**</include>
</includes>
</relocation>
</relocations>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
<dependencies>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>1.18.28</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.junit.jupiter</groupId>
<artifactId>junit-jupiter</artifactId>
<version>5.6.1</version>
<scope>test</scope>
<exclusions>
<exclusion>
<artifactId>junit-jupiter-api</artifactId>
<groupId>org.junit.jupiter</groupId>
</exclusion>
<exclusion>
<artifactId>junit-jupiter-params</artifactId>
<groupId>org.junit.jupiter</groupId>
</exclusion>
<exclusion>
<artifactId>junit-jupiter-engine</artifactId>
<groupId>org.junit.jupiter</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.mockito</groupId>
<artifactId>mockito-core</artifactId>
<version>3.3.3</version>
<scope>test</scope>
<exclusions>
<exclusion>
<artifactId>byte-buddy</artifactId>
<groupId>net.bytebuddy</groupId>
</exclusion>
<exclusion>
<artifactId>byte-buddy-agent</artifactId>
<groupId>net.bytebuddy</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.mockito</groupId>
<artifactId>mockito-junit-jupiter</artifactId>
<version>3.3.3</version>
<scope>test</scope>
</dependency>
</dependencies>
<distributionManagement>
<site>
<id>DHPSite</id>
<url>${dhp.site.stage.path}/dhp-common</url>
</site>
</distributionManagement>
</project>

View File

@ -26,16 +26,16 @@
<dependencies>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-actionmanager</artifactId>
<version>${project.version}</version>
</dependency>
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-aggregation</artifactId>-->
<!-- <artifactId>dhp-actionmanager</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-aggregation</artifactId>
<version>${project.version}</version>
</dependency>
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-blacklist</artifactId>-->
@ -56,61 +56,61 @@
<!-- <artifactId>dhp-enrichment</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-graph-mapper</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-graph-provision</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-impact-indicators</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-stats-actionsets</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-stats-hist-snaps</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-stats-monitor-irish</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-stats-promote</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-stats-update</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-swh</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-usage-raw-data-update</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-usage-stats-build</artifactId>
<version>${project.version}</version>
</dependency>
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-graph-mapper</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-graph-provision</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-impact-indicators</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-stats-actionsets</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-stats-hist-snaps</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-stats-monitor-irish</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-stats-promote</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-stats-update</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-swh</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-usage-raw-data-update</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-usage-stats-build</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
</dependencies>

View File

@ -51,48 +51,5 @@
<artifactId>hadoop-distcp</artifactId>
</dependency>
<dependency>
<groupId>eu.dnetlib</groupId>
<artifactId>dnet-actionmanager-api</artifactId>
</dependency>
<dependency>
<groupId>eu.dnetlib</groupId>
<artifactId>dnet-actionmanager-common</artifactId>
<exclusions>
<exclusion>
<groupId>eu.dnetlib</groupId>
<artifactId>dnet-openaireplus-mapping-utils</artifactId>
</exclusion>
<exclusion>
<groupId>saxonica</groupId>
<artifactId>saxon</artifactId>
</exclusion>
<exclusion>
<groupId>saxonica</groupId>
<artifactId>saxon-dom</artifactId>
</exclusion>
<exclusion>
<groupId>jgrapht</groupId>
<artifactId>jgrapht</artifactId>
</exclusion>
<exclusion>
<groupId>net.sf.ehcache</groupId>
<artifactId>ehcache</artifactId>
</exclusion>
<exclusion>
<groupId>org.springframework</groupId>
<artifactId>spring-test</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.*</groupId>
<artifactId>*</artifactId>
</exclusion>
<exclusion>
<groupId>apache</groupId>
<artifactId>*</artifactId>
</exclusion>
</exclusions>
</dependency>
</dependencies>
</project>

View File

@ -4,7 +4,6 @@ package eu.dnetlib.dhp.actionmanager;
import java.io.Serializable;
import java.io.StringReader;
import java.util.List;
import java.util.NoSuchElementException;
import java.util.Optional;
import java.util.Set;
import java.util.stream.Collectors;
@ -22,7 +21,6 @@ import com.google.common.base.Splitter;
import com.google.common.collect.Iterables;
import com.google.common.collect.Sets;
import eu.dnetlib.actionmanager.rmi.ActionManagerException;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
@ -65,7 +63,7 @@ public class ISClient implements Serializable {
.map(t -> buildDirectory(basePath, t))
.collect(Collectors.toList()))
.orElseThrow(() -> new IllegalStateException("empty set list"));
} catch (ActionManagerException | ISLookUpException e) {
} catch (ISLookUpException e) {
throw new IllegalStateException("unable to query ActionSets info from the IS");
}
}
@ -89,31 +87,18 @@ public class ISClient implements Serializable {
return Joiner.on("/").join(basePath, t.getMiddle(), t.getRight());
}
private String getBasePathHDFS(ISLookUpService isLookup) throws ActionManagerException {
private String getBasePathHDFS(ISLookUpService isLookup) throws ISLookUpException {
return queryServiceProperty(isLookup, "basePath");
}
private String queryServiceProperty(ISLookUpService isLookup, final String propertyName)
throws ActionManagerException {
throws ISLookUpException {
final String q = "for $x in /RESOURCE_PROFILE[.//RESOURCE_TYPE/@value='ActionManagerServiceResourceType'] return $x//SERVICE_PROPERTIES/PROPERTY[./@ key='"
+ propertyName
+ "']/@value/string()";
log.debug("quering for service property: {}", q);
try {
final List<String> value = isLookup.quickSearchProfile(q);
return Iterables.getOnlyElement(value);
} catch (ISLookUpException e) {
String msg = "Error accessing service profile, using query: " + q;
log.error(msg, e);
throw new ActionManagerException(msg, e);
} catch (NoSuchElementException e) {
String msg = "missing service property: " + propertyName;
log.error(msg, e);
throw new ActionManagerException(msg, e);
} catch (IllegalArgumentException e) {
String msg = "found more than one service property: " + propertyName;
log.error(msg, e);
throw new ActionManagerException(msg, e);
}
final List<String> value = isLookup.quickSearchProfile(q);
return Iterables.getOnlyElement(value);
}
}

View File

@ -151,12 +151,17 @@ public class PromoteActionPayloadForGraphTableJob {
SparkSession spark, String path, Class<G> rowClazz) {
logger.info("Reading graph table from path: {}", path);
return spark
.read()
.textFile(path)
.map(
(MapFunction<String, G>) value -> OBJECT_MAPPER.readValue(value, rowClazz),
Encoders.bean(rowClazz));
if (HdfsSupport.exists(path, spark.sparkContext().hadoopConfiguration())) {
return spark
.read()
.textFile(path)
.map(
(MapFunction<String, G>) value -> OBJECT_MAPPER.readValue(value, rowClazz),
Encoders.bean(rowClazz));
} else {
logger.info("Found empty graph table from path: {}", path);
return spark.emptyDataset(Encoders.bean(rowClazz));
}
}
private static <A extends Oaf> Dataset<A> readActionPayload(
@ -223,7 +228,7 @@ public class PromoteActionPayloadForGraphTableJob {
rowClazz,
actionPayloadClazz);
if (shouldGroupById) {
if (Boolean.TRUE.equals(shouldGroupById)) {
return PromoteActionPayloadFunctions
.groupGraphTableByIdAndMerge(
joinedAndMerged, rowIdFn, mergeRowsAndGetFn, zeroFn, isNotZeroFn, rowClazz);
@ -250,6 +255,8 @@ public class PromoteActionPayloadForGraphTableJob {
return () -> clazz.cast(new eu.dnetlib.dhp.schema.oaf.Relation());
case "eu.dnetlib.dhp.schema.oaf.Software":
return () -> clazz.cast(new eu.dnetlib.dhp.schema.oaf.Software());
case "eu.dnetlib.dhp.schema.oaf.Person":
return () -> clazz.cast(new eu.dnetlib.dhp.schema.oaf.Person());
default:
throw new RuntimeException("unknown class: " + clazz.getCanonicalName());
}

View File

@ -50,7 +50,7 @@ public class PromoteActionPayloadFunctions {
PromoteAction.Strategy promoteActionStrategy,
Class<G> rowClazz,
Class<A> actionPayloadClazz) {
if (!isSubClass(rowClazz, actionPayloadClazz)) {
if (Boolean.FALSE.equals(isSubClass(rowClazz, actionPayloadClazz))) {
throw new RuntimeException(
"action payload type must be the same or be a super type of table row type");
}

View File

@ -103,6 +103,7 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
@ -156,6 +157,7 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}

View File

@ -95,6 +95,7 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}

View File

@ -7,3 +7,4 @@ promote_action_payload_for_project_table classpath eu/dnetlib/dhp/actionmanager/
promote_action_payload_for_publication_table classpath eu/dnetlib/dhp/actionmanager/wf/publication/oozie_app
promote_action_payload_for_relation_table classpath eu/dnetlib/dhp/actionmanager/wf/relation/oozie_app
promote_action_payload_for_software_table classpath eu/dnetlib/dhp/actionmanager/wf/software/oozie_app
promote_action_payload_for_person_table classpath eu/dnetlib/dhp/actionmanager/wf/person/oozie_app

View File

@ -125,6 +125,7 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
@ -134,21 +135,10 @@
<arg>--outputPath</arg><arg>${workingDir}/action_payload_by_type</arg>
<arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
</spark>
<ok to="ForkPromote"/>
<ok to="PromoteActionPayloadForDatasetTable"/>
<error to="Kill"/>
</action>
<fork name="ForkPromote">
<path start="PromoteActionPayloadForDatasetTable"/>
<path start="PromoteActionPayloadForDatasourceTable"/>
<path start="PromoteActionPayloadForOrganizationTable"/>
<path start="PromoteActionPayloadForOtherResearchProductTable"/>
<path start="PromoteActionPayloadForProjectTable"/>
<path start="PromoteActionPayloadForPublicationTable"/>
<path start="PromoteActionPayloadForRelationTable"/>
<path start="PromoteActionPayloadForSoftwareTable"/>
</fork>
<action name="PromoteActionPayloadForDatasetTable">
<sub-workflow>
<app-path>${wf:appPath()}/promote_action_payload_for_dataset_table</app-path>
@ -160,7 +150,7 @@
</property>
</configuration>
</sub-workflow>
<ok to="JoinPromote"/>
<ok to="PromoteActionPayloadForDatasourceTable"/>
<error to="Kill"/>
</action>
@ -175,7 +165,7 @@
</property>
</configuration>
</sub-workflow>
<ok to="JoinPromote"/>
<ok to="PromoteActionPayloadForOrganizationTable"/>
<error to="Kill"/>
</action>
@ -190,7 +180,7 @@
</property>
</configuration>
</sub-workflow>
<ok to="JoinPromote"/>
<ok to="PromoteActionPayloadForOtherResearchProductTable"/>
<error to="Kill"/>
</action>
@ -205,7 +195,7 @@
</property>
</configuration>
</sub-workflow>
<ok to="JoinPromote"/>
<ok to="PromoteActionPayloadForProjectTable"/>
<error to="Kill"/>
</action>
@ -220,7 +210,7 @@
</property>
</configuration>
</sub-workflow>
<ok to="JoinPromote"/>
<ok to="PromoteActionPayloadForPublicationTable"/>
<error to="Kill"/>
</action>
@ -235,7 +225,7 @@
</property>
</configuration>
</sub-workflow>
<ok to="JoinPromote"/>
<ok to="PromoteActionPayloadForRelationTable"/>
<error to="Kill"/>
</action>
@ -250,7 +240,7 @@
</property>
</configuration>
</sub-workflow>
<ok to="JoinPromote"/>
<ok to="PromoteActionPayloadForSoftwareTable"/>
<error to="Kill"/>
</action>
@ -265,11 +255,9 @@
</property>
</configuration>
</sub-workflow>
<ok to="JoinPromote"/>
<ok to="End"/>
<error to="Kill"/>
</action>
<join name="JoinPromote" to="End"/>
<end name="End"/>
</workflow-app>

View File

@ -95,6 +95,7 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}

View File

@ -103,6 +103,7 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
@ -155,11 +156,12 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=2560
--conf spark.sql.shuffle.partitions=8000
</spark-opts>
<arg>--inputGraphTablePath</arg><arg>${workingDir}/otherresearchproduct</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>

View File

@ -0,0 +1,129 @@
<workflow-app name="promote_action_payload_for_person_table" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>activePromotePersonActionPayload</name>
<description>when true will promote actions with eu.dnetlib.dhp.schema.oaf.Person payload</description>
</property>
<property>
<name>inputGraphRootPath</name>
<description>root location of input materialized graph</description>
</property>
<property>
<name>inputActionPayloadRootPath</name>
<description>root location of action payloads to promote</description>
</property>
<property>
<name>outputGraphRootPath</name>
<description>root location for output materialized graph</description>
</property>
<property>
<name>mergeAndGetStrategy</name>
<description>strategy for merging graph table objects with action payload instances, MERGE_FROM_AND_GET or SELECT_NEWER_AND_GET</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>oozie.action.sharelib.for.spark</name>
<value>${oozieActionShareLibForSpark2}</value>
</property>
</configuration>
</global>
<start to="DecisionPromotePersonActionPayload"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<decision name="DecisionPromotePersonActionPayload">
<switch>
<case to="PromotePersonActionPayloadForPersonTable">
${(activePromotePersonActionPayload eq "true") and
(fs:exists(concat(concat(concat(concat(wf:conf('nameNode'),'/'),wf:conf('inputActionPayloadRootPath')),'/'),'clazz=eu.dnetlib.dhp.schema.oaf.Person')) eq "true")}
</case>
<default to="SkipPromotePersonActionPayloadForPersonTable"/>
</switch>
</decision>
<action name="PromotePersonActionPayloadForPersonTable">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn-cluster</master>
<mode>cluster</mode>
<name>PromotePersonActionPayloadForPersonTable</name>
<class>eu.dnetlib.dhp.actionmanager.promote.PromoteActionPayloadForGraphTableJob</class>
<jar>dhp-actionmanager-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
</spark-opts>
<arg>--inputGraphTablePath</arg><arg>${inputGraphRootPath}/person</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Person</arg>
<arg>--inputActionPayloadPath</arg><arg>${inputActionPayloadRootPath}/clazz=eu.dnetlib.dhp.schema.oaf.Person</arg>
<arg>--actionPayloadClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Person</arg>
<arg>--outputGraphTablePath</arg><arg>${outputGraphRootPath}/person</arg>
<arg>--mergeAndGetStrategy</arg><arg>${mergeAndGetStrategy}</arg>
<arg>--promoteActionStrategy</arg><arg>${promoteActionStrategy}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<action name="SkipPromotePersonActionPayloadForPersonTable">
<distcp xmlns="uri:oozie:distcp-action:0.2">
<prepare>
<delete path="${outputGraphRootPath}/person"/>
</prepare>
<arg>-pb</arg>
<arg>${inputGraphRootPath}/person</arg>
<arg>${outputGraphRootPath}/person</arg>
</distcp>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

View File

@ -95,6 +95,7 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}

View File

@ -103,11 +103,12 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=7000
--conf spark.sql.shuffle.partitions=15000
</spark-opts>
<arg>--inputGraphTablePath</arg><arg>${inputGraphRootPath}/publication</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
@ -156,11 +157,12 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=7000
--conf spark.sql.shuffle.partitions=15000
</spark-opts>
<arg>--inputGraphTablePath</arg><arg>${workingDir}/publication</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>

View File

@ -95,11 +95,12 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=10000
--conf spark.sql.shuffle.partitions=15000
</spark-opts>
<arg>--inputGraphTablePath</arg><arg>${inputGraphRootPath}/relation</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Relation</arg>

View File

@ -103,6 +103,7 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
@ -155,11 +156,12 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=2560
--conf spark.sql.shuffle.partitions=4000
</spark-opts>
<arg>--inputGraphTablePath</arg><arg>${workingDir}/software</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>

View File

@ -0,0 +1,210 @@
/*
* Copyright (c) 2024.
* SPDX-FileCopyrightText: © 2023 Consiglio Nazionale delle Ricerche
* SPDX-License-Identifier: AGPL-3.0-or-later
*/
package eu.dnetlib.dhp.actionmanager.promote;
import static eu.dnetlib.dhp.common.FunctionalInterfaceSupport.*;
import static eu.dnetlib.dhp.schema.common.ModelSupport.isSubClass;
import static org.apache.spark.sql.functions.*;
import static org.junit.jupiter.api.Assertions.*;
import java.io.IOException;
import java.nio.file.DirectoryStream;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.HashSet;
import java.util.List;
import java.util.function.BiFunction;
import java.util.function.Function;
import java.util.stream.Collectors;
import org.apache.commons.io.FileUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.sql.*;
import org.apache.spark.sql.Dataset;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.google.common.collect.Lists;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
public class PromoteResultWithMeasuresTest {
private static final Logger log = LoggerFactory.getLogger(PromoteResultWithMeasuresTest.class);
private static SparkSession spark;
private static Path tempDir;
public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
@BeforeAll
public static void beforeAll() throws IOException {
tempDir = Files.createTempDirectory(PromoteResultWithMeasuresTest.class.getSimpleName());
log.info("using work dir {}", tempDir);
SparkConf conf = new SparkConf();
conf.setMaster("local[*]");
conf.setAppName(PromoteResultWithMeasuresTest.class.getSimpleName());
conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false");
conf.set("spark.sql.warehouse.dir", tempDir.toString());
conf.set("hive.metastore.warehouse.dir", tempDir.resolve("warehouse").toString());
spark = SparkSession.builder().config(conf).getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
spark.stop();
FileUtils.deleteDirectory(tempDir.toFile());
}
@Test
void testPromoteResultWithMeasures_job() throws Exception {
final String inputGraphTablePath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/promote/measures/graph")
.getPath();
final String inputActionPayloadPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/promote/measures/actionPayloads")
.getPath();
final String actionPayloadsPath = tempDir.resolve("actionPayloads").toString();
spark
.read()
.text(inputActionPayloadPath)
.withColumn("payload", col("value"))
.select("payload")
.write()
.parquet(actionPayloadsPath);
final Path outputGraphTablePath = tempDir.resolve("outputGraphTablePath");
PromoteActionPayloadForGraphTableJob
.main(new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--graphTableClassName", Publication.class.getCanonicalName(),
"--inputGraphTablePath", inputGraphTablePath,
"--inputActionPayloadPath", actionPayloadsPath,
"--actionPayloadClassName", Result.class.getCanonicalName(),
"--outputGraphTablePath", outputGraphTablePath.toString(),
"--mergeAndGetStrategy", MergeAndGet.Strategy.MERGE_FROM_AND_GET.toString(),
"--promoteActionStrategy", PromoteAction.Strategy.ENRICH.toString(),
"--shouldGroupById", "true"
});
assertFalse(isDirEmpty(outputGraphTablePath));
final Encoder<Publication> pubEncoder = Encoders.bean(Publication.class);
List<Publication> results = spark
.read()
.schema(pubEncoder.schema())
.json(outputGraphTablePath.toString())
.as(pubEncoder)
.collectAsList();
verify(results);
}
@Test
void testPromoteResultWithMeasures_internal() throws JsonProcessingException {
Dataset<Publication> rowDS = spark
.read()
.schema(Encoders.bean(Publication.class).schema())
.json("src/test/resources/eu/dnetlib/dhp/actionmanager/promote/measures/graph")
.as(Encoders.bean(Publication.class));
Dataset<Result> actionPayloadDS = spark
.read()
.schema(Encoders.bean(Result.class).schema())
.json("src/test/resources/eu/dnetlib/dhp/actionmanager/promote/measures/actionPayloads")
.as(Encoders.bean(Result.class));
final MergeAndGet.Strategy mergeFromAndGet = MergeAndGet.Strategy.MERGE_FROM_AND_GET;
final SerializableSupplier<Function<Publication, String>> rowIdFn = ModelSupport::idFn;
final SerializableSupplier<BiFunction<Publication, Result, Publication>> mergeAndGetFn = MergeAndGet
.functionFor(mergeFromAndGet);
final SerializableSupplier<Publication> zeroFn = () -> Publication.class
.cast(new eu.dnetlib.dhp.schema.oaf.Publication());
final SerializableSupplier<Function<Publication, Boolean>> isNotZeroFn = PromoteResultWithMeasuresTest::isNotZeroFnUsingIdOrSourceAndTarget;
Dataset<Publication> joinedResults = PromoteActionPayloadFunctions
.joinGraphTableWithActionPayloadAndMerge(
rowDS,
actionPayloadDS,
rowIdFn,
ModelSupport::idFn,
mergeAndGetFn,
PromoteAction.Strategy.ENRICH,
Publication.class,
Result.class);
SerializableSupplier<BiFunction<Publication, Publication, Publication>> mergeRowsAndGetFn = MergeAndGet
.functionFor(mergeFromAndGet);
Dataset<Publication> mergedResults = PromoteActionPayloadFunctions
.groupGraphTableByIdAndMerge(
joinedResults, rowIdFn, mergeRowsAndGetFn, zeroFn, isNotZeroFn, Publication.class);
verify(mergedResults.collectAsList());
}
private static void verify(List<Publication> results) throws JsonProcessingException {
assertNotNull(results);
assertEquals(1, results.size());
Result r = results.get(0);
log.info(OBJECT_MAPPER.writeValueAsString(r));
assertNotNull(r.getMeasures());
assertFalse(r.getMeasures().isEmpty());
assertTrue(
r
.getMeasures()
.stream()
.map(Measure::getId)
.collect(Collectors.toCollection(HashSet::new))
.containsAll(
Lists
.newArrayList(
"downloads", "views", "influence", "popularity", "influence_alt", "popularity_alt",
"impulse")));
}
private static <T extends Oaf> Function<T, Boolean> isNotZeroFnUsingIdOrSourceAndTarget() {
return t -> {
if (isSubClass(t, Relation.class)) {
final Relation rel = (Relation) t;
return StringUtils.isNotBlank(rel.getSource()) && StringUtils.isNotBlank(rel.getTarget());
}
return StringUtils.isNotBlank(((OafEntity) t).getId());
};
}
private static boolean isDirEmpty(final Path directory) throws IOException {
try (DirectoryStream<Path> dirStream = Files.newDirectoryStream(directory)) {
return !dirStream.iterator().hasNext();
}
}
}

View File

@ -0,0 +1,3 @@
{"collectedfrom":null,"dataInfo":null,"lastupdatetimestamp":null,"id":"50|doi_dedup___::02317b7093277ec8aa0311d5c6a25b9b","originalId":null,"pid":null,"dateofcollection":null,"dateoftransformation":null,"extraInfo":null,"oaiprovenance":null,"measures":[{"id":"downloads","unit":[{"key":"opendoar____::358aee4cc897452c00244351e4d91f69||ZENODO","value":"125","dataInfo":{"invisible":false,"inferred":true,"deletedbyinference":false,"trust":"","inferenceprovenance":"update","provenanceaction":{"classid":"measure:usage_counts","classname":"Inferred by OpenAIRE","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}}}]},{"id":"views","unit":[{"key":"opendoar____::358aee4cc897452c00244351e4d91f69||ZENODO","value":"35","dataInfo":{"invisible":false,"inferred":true,"deletedbyinference":false,"trust":"","inferenceprovenance":"update","provenanceaction":{"classid":"measure:usage_counts","classname":"Inferred by OpenAIRE","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}}}]}],"context":null,"processingchargeamount":null,"processingchargecurrency":null,"author":null,"resulttype":null,"metaResourceType":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,"externalReference":null,"instance":null,"eoscifguidelines":null,"openAccessColor":null,"publiclyFunded":null,"transformativeAgreement":null,"isGreen":null,"isInDiamondJournal":null}
{"collectedfrom":null,"dataInfo":null,"lastupdatetimestamp":null,"id":"50|doi_dedup___::02317b7093277ec8aa0311d5c6a25b9b","originalId":null,"pid":null,"dateofcollection":null,"dateoftransformation":null,"extraInfo":null,"oaiprovenance":null,"measures":[{"id":"influence","unit":[{"key":"score","value":"3.1167566E-9","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":"C5","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":"7.335433E-9","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":"C4","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":"4","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":"C5","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":"2.96","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":"C4","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":"4","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":"C5","dataInfo":{"invisible":false,"inferred":true,"deletedbyinference":false,"trust":"","inferenceprovenance":"update","provenanceaction":{"classid":"measure:bip","classname":"Inferred by OpenAIRE","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}}}]}],"context":null,"processingchargeamount":null,"processingchargecurrency":null,"author":null,"resulttype":null,"metaResourceType":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,"externalReference":null,"instance":null,"eoscifguidelines":null,"openAccessColor":null,"publiclyFunded":null,"transformativeAgreement":null,"isGreen":null,"isInDiamondJournal":null}
{"collectedfrom":null,"dataInfo":null,"lastupdatetimestamp":null,"id":"50|doi_dedup___::02317b7093277ec8aa0311d5c6a25b9b","originalId":null,"pid":null,"dateofcollection":null,"dateoftransformation":null,"extraInfo":null,"oaiprovenance":null,"measures":null,"context":null,"processingchargeamount":null,"processingchargecurrency":null,"author":null,"resulttype":null,"metaResourceType":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,"externalReference":null,"instance":null,"eoscifguidelines":null,"openAccessColor":"hybrid","publiclyFunded":false,"transformativeAgreement":null,"isGreen":true,"isInDiamondJournal":false}

View File

@ -13,6 +13,8 @@ import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Instance;
import eu.dnetlib.dhp.schema.oaf.Qualifier;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
import eu.dnetlib.dhp.schema.oaf.Subject;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
@ -42,6 +44,9 @@ public class Constants {
public static final String NULL = "NULL";
public static final String NA = "N/A";
public static final String WEB_CRAWL_ID = "10|openaire____::fb98a192f6a055ba495ef414c330834b";
public static final String WEB_CRAWL_NAME = "Web Crawl";
public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private Constants() {

View File

@ -10,7 +10,6 @@ import java.util.List;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.BZip2Codec;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
@ -29,21 +28,26 @@ import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.utils.CleaningFunctions;
import eu.dnetlib.dhp.schema.oaf.utils.DoiCleaningRule;
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import scala.Tuple2;
/**
* Creates action sets for Crossref affiliation relations inferred by BIP!
* Creates action sets for Crossref affiliation relations inferred by OpenAIRE
*/
public class PrepareAffiliationRelations implements Serializable {
private static final Logger log = LoggerFactory.getLogger(PrepareAffiliationRelations.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static final String ID_PREFIX = "50|doi_________::";
public static final String BIP_AFFILIATIONS_CLASSID = "result:organization:bipinference";
public static final String BIP_AFFILIATIONS_CLASSNAME = "Affiliation relation inferred by BIP!";
public static final String BIP_INFERENCE_PROVENANCE = "bip:affiliation:crossref";
public static final String BIP_AFFILIATIONS_CLASSID = "result:organization:openaireinference";
public static final String BIP_AFFILIATIONS_CLASSNAME = "Affiliation relation inferred by OpenAIRE";
public static final String BIP_INFERENCE_PROVENANCE = "openaire:affiliation";
public static final String OPENAIRE_DATASOURCE_ID = "10|infrastruct_::f66f1bd369679b5b077dcdf006089556";
public static final String OPENAIRE_DATASOURCE_NAME = "OpenAIRE";
public static final String DOI_URL_PREFIX = "https://doi.org/";
public static final int DOI_URL_PREFIX_LENGTH = 16;
public static <I extends Result> void main(String[] args) throws Exception {
@ -71,6 +75,12 @@ public class PrepareAffiliationRelations implements Serializable {
final String dataciteInputPath = parser.get("dataciteInputPath");
log.info("dataciteInputPath: {}", dataciteInputPath);
final String webcrawlInputPath = parser.get("webCrawlInputPath");
log.info("webcrawlInputPath: {}", webcrawlInputPath);
final String publisherInputPath = parser.get("publisherInputPath");
log.info("publisherInputPath: {}", publisherInputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
@ -81,47 +91,107 @@ public class PrepareAffiliationRelations implements Serializable {
isSparkSessionManaged,
spark -> {
Constants.removeOutputDir(spark, outputPath);
List<KeyValue> collectedFromCrossref = OafMapperUtils
.listKeyValues(ModelConstants.CROSSREF_ID, "Crossref");
JavaPairRDD<Text, Text> crossrefRelations = prepareAffiliationRelations(
spark, crossrefInputPath, collectedFromCrossref);
List<KeyValue> collectedFromPubmed = OafMapperUtils
.listKeyValues(ModelConstants.PUBMED_CENTRAL_ID, "Pubmed");
JavaPairRDD<Text, Text> pubmedRelations = prepareAffiliationRelations(
spark, pubmedInputPath, collectedFromPubmed);
List<KeyValue> collectedFromOpenAPC = OafMapperUtils
.listKeyValues(ModelConstants.OPEN_APC_ID, "OpenAPC");
JavaPairRDD<Text, Text> openAPCRelations = prepareAffiliationRelations(
spark, openapcInputPath, collectedFromOpenAPC);
List<KeyValue> collectedFromDatacite = OafMapperUtils
.listKeyValues(ModelConstants.DATACITE_ID, "Datacite");
JavaPairRDD<Text, Text> dataciteRelations = prepareAffiliationRelations(
spark, dataciteInputPath, collectedFromDatacite);
crossrefRelations
.union(pubmedRelations)
.union(openAPCRelations)
.union(dataciteRelations)
.saveAsHadoopFile(
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, BZip2Codec.class);
createActionSet(
spark, crossrefInputPath, pubmedInputPath, openapcInputPath, dataciteInputPath, webcrawlInputPath,
publisherInputPath, outputPath);
});
}
private static void createActionSet(SparkSession spark, String crossrefInputPath, String pubmedInputPath,
String openapcInputPath, String dataciteInputPath, String webcrawlInputPath, String publisherlInputPath,
String outputPath) {
List<KeyValue> collectedfromOpenAIRE = OafMapperUtils
.listKeyValues(OPENAIRE_DATASOURCE_ID, OPENAIRE_DATASOURCE_NAME);
JavaPairRDD<Text, Text> crossrefRelations = prepareAffiliationRelationsNewModel(
spark, crossrefInputPath, collectedfromOpenAIRE, BIP_INFERENCE_PROVENANCE + ":crossref");
JavaPairRDD<Text, Text> pubmedRelations = prepareAffiliationRelations(
spark, pubmedInputPath, collectedfromOpenAIRE, BIP_INFERENCE_PROVENANCE + ":pubmed");
JavaPairRDD<Text, Text> openAPCRelations = prepareAffiliationRelationsNewModel(
spark, openapcInputPath, collectedfromOpenAIRE, BIP_INFERENCE_PROVENANCE + ":openapc");
JavaPairRDD<Text, Text> dataciteRelations = prepareAffiliationRelationsNewModel(
spark, dataciteInputPath, collectedfromOpenAIRE, BIP_INFERENCE_PROVENANCE + ":datacite");
JavaPairRDD<Text, Text> webCrawlRelations = prepareAffiliationRelationsNewModel(
spark, webcrawlInputPath, collectedfromOpenAIRE, BIP_INFERENCE_PROVENANCE + ":rawaff");
JavaPairRDD<Text, Text> publisherRelations = prepareAffiliationRelationFromPublisherNewModel(
spark, publisherlInputPath, collectedfromOpenAIRE, BIP_INFERENCE_PROVENANCE + ":webcrawl");
crossrefRelations
.union(pubmedRelations)
.union(openAPCRelations)
.union(dataciteRelations)
.union(webCrawlRelations)
.union(publisherRelations)
.saveAsHadoopFile(
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, BZip2Codec.class);
}
private static JavaPairRDD<Text, Text> prepareAffiliationRelationFromPublisherNewModel(SparkSession spark,
String inputPath,
List<KeyValue> collectedfrom,
String dataprovenance) {
Dataset<Row> df = spark
.read()
.schema(
"`DOI` STRING, `Organizations` ARRAY<STRUCT<`PID`:STRING, `Value`:STRING,`Confidence`:DOUBLE, `Status`:STRING>>")
.json(inputPath)
.where("DOI is not null");
return getTextTextJavaPairRDDNew(
collectedfrom, df.selectExpr("DOI", "Organizations as Matchings"), dataprovenance);
}
private static JavaPairRDD<Text, Text> prepareAffiliationRelationFromPublisher(SparkSession spark, String inputPath,
List<KeyValue> collectedfrom, String dataprovenance) {
Dataset<Row> df = spark
.read()
.schema("`DOI` STRING, `Organizations` ARRAY<STRUCT<`RORid`:STRING,`Confidence`:DOUBLE>>")
.json(inputPath)
.where("DOI is not null");
return getTextTextJavaPairRDD(
collectedfrom, df.selectExpr("DOI", "Organizations as Matchings"), dataprovenance);
}
private static <I extends Result> JavaPairRDD<Text, Text> prepareAffiliationRelations(SparkSession spark,
String inputPath,
List<KeyValue> collectedfrom) {
List<KeyValue> collectedfrom, String dataprovenance) {
// load and parse affiliation relations from HDFS
Dataset<Row> df = spark
.read()
.schema("`DOI` STRING, `Matchings` ARRAY<STRUCT<`RORid`:STRING,`Confidence`:DOUBLE>>")
.json(inputPath);
.json(inputPath)
.where("DOI is not null");
return getTextTextJavaPairRDD(collectedfrom, df, dataprovenance);
}
private static <I extends Result> JavaPairRDD<Text, Text> prepareAffiliationRelationsNewModel(SparkSession spark,
String inputPath,
List<KeyValue> collectedfrom, String dataprovenance) {
// load and parse affiliation relations from HDFS
Dataset<Row> df = spark
.read()
.schema(
"`DOI` STRING, `Matchings` ARRAY<STRUCT<`PID`:STRING, `Value`:STRING,`Confidence`:DOUBLE, `Status`:STRING>>")
.json(inputPath)
.where("DOI is not null");
return getTextTextJavaPairRDDNew(collectedfrom, df, dataprovenance);
}
private static JavaPairRDD<Text, Text> getTextTextJavaPairRDD(List<KeyValue> collectedfrom, Dataset<Row> df,
String dataprovenance) {
// unroll nested arrays
df = df
.withColumn("matching", functions.explode(new Column("Matchings")))
@ -137,7 +207,7 @@ public class PrepareAffiliationRelations implements Serializable {
// DOI to OpenAIRE id
final String paperId = ID_PREFIX
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", row.getAs("doi")));
+ IdentifierFactory.md5(DoiCleaningRule.clean(removePrefix(row.getAs("doi"))));
// ROR id to OpenAIRE id
final String affId = GenerateRorActionSetJob.calculateOpenaireId(row.getAs("rorid"));
@ -153,7 +223,7 @@ public class PrepareAffiliationRelations implements Serializable {
DataInfo dataInfo = OafMapperUtils
.dataInfo(
false,
BIP_INFERENCE_PROVENANCE,
dataprovenance,
true,
false,
qualifier,
@ -169,6 +239,70 @@ public class PrepareAffiliationRelations implements Serializable {
new Text(OBJECT_MAPPER.writeValueAsString(aa))));
}
private static JavaPairRDD<Text, Text> getTextTextJavaPairRDDNew(List<KeyValue> collectedfrom, Dataset<Row> df,
String dataprovenance) {
// unroll nested arrays
df = df
.withColumn("matching", functions.explode(new Column("Matchings")))
.select(
new Column("DOI").as("doi"),
new Column("matching.PID").as("pidtype"),
new Column("matching.Value").as("pidvalue"),
new Column("matching.Confidence").as("confidence"),
new Column("matching.Status").as("status"))
.where("status = 'active'");
// prepare action sets for affiliation relations
return df
.toJavaRDD()
.flatMap((FlatMapFunction<Row, Relation>) row -> {
// DOI to OpenAIRE id
final String paperId = ID_PREFIX
+ IdentifierFactory.md5(DoiCleaningRule.clean(removePrefix(row.getAs("doi"))));
// Organization to OpenAIRE identifier
String affId = null;
if (row.getAs("pidtype").equals("ROR"))
// ROR id to OpenIARE id
affId = GenerateRorActionSetJob.calculateOpenaireId(row.getAs("pidvalue"));
else
// getting the OpenOrgs identifier for the organization
affId = row.getAs("pidvalue");
Qualifier qualifier = OafMapperUtils
.qualifier(
BIP_AFFILIATIONS_CLASSID,
BIP_AFFILIATIONS_CLASSNAME,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS);
// format data info; setting `confidence` into relation's `trust`
DataInfo dataInfo = OafMapperUtils
.dataInfo(
false,
dataprovenance,
true,
false,
qualifier,
Double.toString(row.getAs("confidence")));
// return bi-directional relations
return getAffiliationRelationPair(paperId, affId, collectedfrom, dataInfo).iterator();
})
.map(p -> new AtomicAction(Relation.class, p))
.mapToPair(
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
new Text(OBJECT_MAPPER.writeValueAsString(aa))));
}
private static String removePrefix(String doi) {
if (doi.startsWith(DOI_URL_PREFIX))
return doi.substring(DOI_URL_PREFIX_LENGTH);
return doi;
}
private static List<Relation> getAffiliationRelationPair(String paperId, String affId, List<KeyValue> collectedfrom,
DataInfo dataInfo) {
return Arrays

View File

@ -115,19 +115,7 @@ public class PrepareFOSSparkJob implements Serializable {
.forEach(
l -> add(sbjs, getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID, true)));
r.setSubject(sbjs);
r
.setDataInfo(
OafMapperUtils
.dataInfo(
false, null, true,
false,
OafMapperUtils
.qualifier(
ModelConstants.PROVENANCE_ENRICH,
null,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
null));
return r;
}

View File

@ -6,26 +6,23 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
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.api.java.function.MapGroupsFunction;
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.apache.spark.sql.*;
import org.jetbrains.annotations.NotNull;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.SDGDataModel;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
import eu.dnetlib.dhp.schema.oaf.Subject;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import eu.dnetlib.dhp.utils.DHPUtils;
public class PrepareSDGSparkJob implements Serializable {
@ -52,54 +49,91 @@ public class PrepareSDGSparkJob implements Serializable {
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final Boolean distributeDOI = Optional
.ofNullable(parser.get("distributeDoi"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("distribute doi {}", distributeDOI);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
doPrepare(
spark,
sourcePath,
if (distributeDOI)
doPrepare(
spark,
sourcePath,
outputPath);
else
doPrepareoaid(spark, sourcePath, outputPath);
outputPath);
});
}
private static void doPrepare(SparkSession spark, String sourcePath, String outputPath) {
Dataset<SDGDataModel> sdgDataset = readPath(spark, sourcePath, SDGDataModel.class);
Dataset<Row> sdgDataset = spark
.read()
.format("csv")
.option("sep", DEFAULT_DELIMITER)
.option("inferSchema", "true")
.option("header", "true")
.option("quotes", "\"")
.load(sourcePath);
sdgDataset
.groupByKey((MapFunction<SDGDataModel, String>) r -> r.getDoi().toLowerCase(), Encoders.STRING())
.mapGroups((MapGroupsFunction<String, SDGDataModel, Result>) (k, it) -> {
Result r = new Result();
r.setId(DHPUtils.generateUnresolvedIdentifier(k, DOI));
SDGDataModel first = it.next();
List<Subject> sbjs = new ArrayList<>();
sbjs.add(getSubject(first.getSbj(), SDG_CLASS_ID, SDG_CLASS_NAME, UPDATE_SUBJECT_SDG_CLASS_ID));
it
.forEachRemaining(
s -> sbjs
.add(getSubject(s.getSbj(), SDG_CLASS_ID, SDG_CLASS_NAME, UPDATE_SUBJECT_SDG_CLASS_ID)));
r.setSubject(sbjs);
r
.setDataInfo(
OafMapperUtils
.dataInfo(
false, null, true,
false,
OafMapperUtils
.qualifier(
ModelConstants.PROVENANCE_ENRICH,
null,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
null));
return r;
}, Encoders.bean(Result.class))
.groupByKey((MapFunction<Row, String>) v -> ((String) v.getAs("doi")).toLowerCase(), Encoders.STRING())
.mapGroups(
(MapGroupsFunction<String, Row, Result>) (k,
it) -> getResult(
DHPUtils
.generateUnresolvedIdentifier(
ModelSupport.entityIdPrefix.get(Result.class.getSimpleName().toLowerCase()) + "|" + k,
DOI),
it),
Encoders.bean(Result.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath + "/sdg");
}
private static void doPrepareoaid(SparkSession spark, String sourcePath, String outputPath) {
Dataset<Row> sdgDataset = spark
.read()
.format("csv")
.option("sep", DEFAULT_DELIMITER)
.option("inferSchema", "true")
.option("header", "true")
.option("quotes", "\"")
.load(sourcePath);
;
sdgDataset
.groupByKey((MapFunction<Row, String>) r -> "50|" + ((String) r.getAs("oaid")), Encoders.STRING())
.mapGroups(
(MapGroupsFunction<String, Row, Result>) PrepareSDGSparkJob::getResult, Encoders.bean(Result.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath + "/sdg");
}
private static @NotNull Result getResult(String id, Iterator<Row> it) {
Result r = new Result();
r.setId(id);
Row first = it.next();
List<Subject> sbjs = new ArrayList<>();
sbjs.add(getSubject(first.getAs("sdg"), SDG_CLASS_ID, SDG_CLASS_NAME, UPDATE_SUBJECT_SDG_CLASS_ID));
it
.forEachRemaining(
s -> sbjs
.add(getSubject(s.getAs("sdg"), SDG_CLASS_ID, SDG_CLASS_NAME, UPDATE_SUBJECT_SDG_CLASS_ID)));
r.setSubject(sbjs);
return r;
}
}

View File

@ -13,9 +13,6 @@ import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
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.sql.Encoders;
import org.apache.spark.sql.SparkSession;
@ -24,13 +21,9 @@ import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.opencitations.model.COCI;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.utils.*;
import scala.Tuple2;
public class CreateActionSetSparkJob implements Serializable {

View File

@ -46,6 +46,9 @@ public class GetOpenCitationsRefs implements Serializable {
final String outputPath = parser.get("outputPath");
log.info("outputPath {}", outputPath);
final String backupPath = parser.get("backupPath");
log.info("backupPath {}", backupPath);
Configuration conf = new Configuration();
conf.set("fs.defaultFS", hdfsNameNode);
@ -53,11 +56,11 @@ public class GetOpenCitationsRefs implements Serializable {
GetOpenCitationsRefs ocr = new GetOpenCitationsRefs();
ocr.doExtract(inputPath, outputPath, fileSystem);
ocr.doExtract(inputPath, outputPath, backupPath, fileSystem);
}
private void doExtract(String inputPath, String outputPath, FileSystem fileSystem)
private void doExtract(String inputPath, String outputPath, String backupPath, FileSystem fileSystem)
throws IOException {
RemoteIterator<LocatedFileStatus> fileStatusListIterator = fileSystem
@ -89,6 +92,7 @@ public class GetOpenCitationsRefs implements Serializable {
}
}
fileSystem.rename(fileStatus.getPath(), new Path(backupPath));
}
}

View File

@ -107,7 +107,8 @@ public class ReadCOCI implements Serializable {
.mode(SaveMode.Append)
.option("compression", "gzip")
.json(outputPath);
fileSystem.rename(fileStatus.getPath(), new Path("/tmp/miriam/OC/DONE"));
fileSystem.delete(fileStatus.getPath());
}
}

View File

@ -0,0 +1,40 @@
package eu.dnetlib.dhp.actionmanager.personentity;
import java.io.Serializable;
import eu.dnetlib.dhp.schema.oaf.Person;
import eu.dnetlib.dhp.schema.oaf.Relation;
import scala.Tuple2;
public class Couples implements Serializable {
Person p;
Relation r;
public Couples() {
}
public Person getP() {
return p;
}
public void setP(Person p) {
this.p = p;
}
public Relation getR() {
return r;
}
public void setR(Relation r) {
this.r = r;
}
public static <Tuples> Couples newInstance(Tuple2<Person, Relation> couple) {
Couples c = new Couples();
c.p = couple._1();
c.r = couple._2();
return c;
}
}

View File

@ -0,0 +1,527 @@
package eu.dnetlib.dhp.actionmanager.personentity;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.BufferedWriter;
import java.io.IOException;
import java.io.OutputStreamWriter;
import java.io.Serializable;
import java.nio.charset.StandardCharsets;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.util.*;
import java.util.stream.Collectors;
import org.apache.commons.cli.ParseException;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.BZip2Codec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.*;
import org.apache.spark.sql.*;
import org.apache.spark.sql.Dataset;
import org.jetbrains.annotations.NotNull;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.collection.orcid.model.Author;
import eu.dnetlib.dhp.collection.orcid.model.Employment;
import eu.dnetlib.dhp.collection.orcid.model.Work;
import eu.dnetlib.dhp.common.DbClient;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.common.person.CoAuthorshipIterator;
import eu.dnetlib.dhp.common.person.Coauthors;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import eu.dnetlib.dhp.schema.oaf.utils.PidCleaner;
import eu.dnetlib.dhp.schema.oaf.utils.PidType;
import eu.dnetlib.dhp.utils.DHPUtils;
import scala.Tuple2;
public class ExtractPerson implements Serializable {
private static final Logger log = LoggerFactory.getLogger(ExtractPerson.class);
private static final String QUERY = "SELECT * FROM project_person WHERE pid_type = 'ORCID'";
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static final String OPENAIRE_PREFIX = "openaire____";
private static final String SEPARATOR = "::";
private static final String orcidKey = "10|" + OPENAIRE_PREFIX + SEPARATOR
+ DHPUtils.md5(ModelConstants.ORCID.toLowerCase());
private static final String DOI_PREFIX = "50|doi_________::";
private static final String PMID_PREFIX = "50|pmid________::";
private static final String ARXIV_PREFIX = "50|arXiv_______::";
private static final String PMCID_PREFIX = "50|pmcid_______::";
private static final String ROR_PREFIX = "20|ror_________::";
private static final String PERSON_PREFIX = ModelSupport.getIdPrefix(Person.class)
+ IdentifierFactory.ID_PREFIX_SEPARATOR + ModelConstants.ORCID + "_______";
private static final String PROJECT_ID_PREFIX = ModelSupport.getIdPrefix(Project.class)
+ IdentifierFactory.ID_PREFIX_SEPARATOR;
public static final String ORCID_AUTHORS_CLASSID = "sysimport:crosswalk:orcid";
public static final String ORCID_AUTHORS_CLASSNAME = "Imported from ORCID";
public static final String FUNDER_AUTHORS_CLASSID = "sysimport:crosswalk:funderdatabase";
public static final String FUNDER_AUTHORS_CLASSNAME = "Imported from Funder Database";
public static final String OPENAIRE_DATASOURCE_ID = "10|infrastruct_::f66f1bd369679b5b077dcdf006089556";
public static final String OPENAIRE_DATASOURCE_NAME = "OpenAIRE";
public static List<KeyValue> collectedfromOpenAIRE = OafMapperUtils
.listKeyValues(OPENAIRE_DATASOURCE_ID, OPENAIRE_DATASOURCE_NAME);
public static final DataInfo ORCIDDATAINFO = OafMapperUtils
.dataInfo(
false,
null,
false,
false,
OafMapperUtils
.qualifier(
ORCID_AUTHORS_CLASSID,
ORCID_AUTHORS_CLASSNAME,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
"0.91");
public static final DataInfo FUNDERDATAINFO = OafMapperUtils
.dataInfo(
false,
null,
false,
false,
OafMapperUtils
.qualifier(
FUNDER_AUTHORS_CLASSID,
FUNDER_AUTHORS_CLASSNAME,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
"0.91");
public static void main(final String[] args) throws IOException, ParseException {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
Objects
.requireNonNull(
ExtractPerson.class
.getResourceAsStream(
"/eu/dnetlib/dhp/actionmanager/personentity/as_parameters.json"))));
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("inputPath");
log.info("inputPath {}", inputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath {}", outputPath);
final String workingDir = parser.get("workingDir");
log.info("workingDir {}", workingDir);
final String dbUrl = parser.get("postgresUrl");
final String dbUser = parser.get("postgresUser");
final String dbPassword = parser.get("postgresPassword");
final String hdfsNameNode = parser.get("hdfsNameNode");
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
HdfsSupport.remove(outputPath, spark.sparkContext().hadoopConfiguration());
extractInfoForActionSetFromORCID(spark, inputPath, workingDir);
extractInfoForActionSetFromProjects(
spark, inputPath, workingDir, dbUrl, dbUser, dbPassword, workingDir + "/project", hdfsNameNode);
createActionSet(spark, outputPath, workingDir);
});
}
private static void extractInfoForActionSetFromProjects(SparkSession spark, String inputPath, String workingDir,
String dbUrl, String dbUser, String dbPassword, String hdfsPath, String hdfsNameNode) throws IOException {
Configuration conf = new Configuration();
conf.set("fs.defaultFS", hdfsNameNode);
FileSystem fileSystem = FileSystem.get(conf);
Path hdfsWritePath = new Path(hdfsPath);
FSDataOutputStream fos = fileSystem.create(hdfsWritePath);
try (DbClient dbClient = new DbClient(dbUrl, dbUser, dbPassword)) {
try (BufferedWriter writer = new BufferedWriter(new OutputStreamWriter(fos, StandardCharsets.UTF_8))) {
dbClient.processResults(QUERY, rs -> writeRelation(getRelationWithProject(rs), writer));
}
} catch (IOException e) {
throw new RuntimeException(e);
}
}
public static Relation getRelationWithProject(ResultSet rs) {
try {
return getProjectRelation(
rs.getString("project"), rs.getString("pid"),
rs.getString("role"));
} catch (final SQLException e) {
throw new RuntimeException(e);
}
}
private static Relation getProjectRelation(String project, String orcid, String role) {
String source = PERSON_PREFIX + "::" + IdentifierFactory.md5(orcid);
String target = PROJECT_ID_PREFIX + StringUtils.substringBefore(project, "::") + "::"
+ IdentifierFactory.md5(StringUtils.substringAfter(project, "::"));
List<KeyValue> properties = new ArrayList<>();
Relation relation = OafMapperUtils
.getRelation(
source, target, ModelConstants.PROJECT_PERSON_RELTYPE, ModelConstants.PROJECT_PERSON_SUBRELTYPE,
ModelConstants.PROJECT_PERSON_PARTICIPATES,
collectedfromOpenAIRE,
FUNDERDATAINFO,
null);
relation.setValidated(true);
if (StringUtils.isNotBlank(role)) {
KeyValue kv = new KeyValue();
kv.setKey("role");
kv.setValue(role);
properties.add(kv);
}
if (!properties.isEmpty())
relation.setProperties(properties);
return relation;
}
protected static void writeRelation(final Relation relation, BufferedWriter writer) {
try {
writer.write(OBJECT_MAPPER.writeValueAsString(relation));
writer.newLine();
} catch (final IOException e) {
throw new RuntimeException(e);
}
}
private static void createActionSet(SparkSession spark, String outputPath, String workingDir) {
Dataset<Person> people;
people = spark
.read()
.textFile(workingDir + "/people")
.map(
(MapFunction<String, Person>) value -> OBJECT_MAPPER
.readValue(value, Person.class),
Encoders.bean(Person.class));
people
.toJavaRDD()
.map(p -> new AtomicAction(p.getClass(), p))
.union(
getRelations(spark, workingDir + "/authorship").toJavaRDD().map(r -> new AtomicAction(r.getClass(), r)))
.union(
getRelations(spark, workingDir + "/coauthorship")
.toJavaRDD()
.map(r -> new AtomicAction(r.getClass(), r)))
.union(
getRelations(spark, workingDir + "/affiliation")
.toJavaRDD()
.map(r -> new AtomicAction(r.getClass(), r)))
.union(
getRelations(spark, workingDir + "/project")
.toJavaRDD()
.map(r -> new AtomicAction(r.getClass(), r)))
.mapToPair(
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
new Text(OBJECT_MAPPER.writeValueAsString(aa))))
.saveAsHadoopFile(
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, BZip2Codec.class);
}
private static void extractInfoForActionSetFromORCID(SparkSession spark, String inputPath, String workingDir) {
Dataset<Author> authors = spark
.read()
.parquet(inputPath + "Authors")
.as(Encoders.bean(Author.class));
Dataset<Work> works = spark
.read()
.parquet(inputPath + "Works")
.as(Encoders.bean(Work.class))
.filter(
(FilterFunction<Work>) w -> Optional.ofNullable(w.getPids()).isPresent() &&
w
.getPids()
.stream()
.anyMatch(
p -> p.getSchema().equalsIgnoreCase("doi") ||
p.getSchema().equalsIgnoreCase("pmc") ||
p.getSchema().equalsIgnoreCase("pmid") ||
p.getSchema().equalsIgnoreCase("arxiv")));
Dataset<Employment> employmentDataset = spark
.read()
.parquet(inputPath + "Employments")
.as(Encoders.bean(Employment.class));
Dataset<Employment> employment = employmentDataset
.joinWith(authors, employmentDataset.col("orcid").equalTo(authors.col("orcid")))
.map((MapFunction<Tuple2<Employment, Author>, Employment>) t2 -> t2._1(), Encoders.bean(Employment.class));
// Mapping all the orcid profiles even if the profile has no visible works
authors.map((MapFunction<Author, Person>) op -> {
Person person = new Person();
person.setId(DHPUtils.generateIdentifier(op.getOrcid(), PERSON_PREFIX));
person
.setBiography(
Optional
.ofNullable(op.getBiography())
.orElse(""));
KeyValue kv = OafMapperUtils.keyValue(orcidKey, ModelConstants.ORCID_DS);
kv.setDataInfo(null);
person.setCollectedfrom(Arrays.asList(kv));
person
.setAlternativeNames(
Optional
.ofNullable(op.getOtherNames())
.orElse(new ArrayList<>()));
person
.setFamilyName(
Optional
.ofNullable(op.getFamilyName())
.orElse(""));
person
.setGivenName(
Optional
.ofNullable(op.getGivenName())
.orElse(""));
person
.setPid(
Optional
.ofNullable(op.getOtherPids())
.map(
v -> v
.stream()
.map(
p -> OafMapperUtils
.structuredProperty(
p.getValue(), p.getSchema(), p.getSchema(), ModelConstants.DNET_PID_TYPES,
ModelConstants.DNET_PID_TYPES, null))
.collect(Collectors.toList()))
.orElse(new ArrayList<>()));
person
.getPid()
.add(
OafMapperUtils
.structuredProperty(
op.getOrcid(), ModelConstants.ORCID, ModelConstants.ORCID_CLASSNAME,
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);
return person;
}, Encoders.bean(Person.class))
.write()
.option("compression", "gzip")
.mode(SaveMode.Overwrite)
.json(workingDir + "/people");
works
.flatMap(
(FlatMapFunction<Work, Relation>) ExtractPerson::getAuthorshipRelationIterator,
Encoders.bean(Relation.class))
.write()
.option("compression", "gzip")
.mode(SaveMode.Overwrite)
.json(workingDir + "/authorship");
Dataset<Relation> coauthorship = works
.flatMap((FlatMapFunction<Work, Tuple2<String, String>>) w -> {
List<Tuple2<String, String>> lista = new ArrayList<>();
w.getPids().stream().forEach(p -> {
if (p.getSchema().equalsIgnoreCase("doi") || p.getSchema().equalsIgnoreCase("pmc")
|| p.getSchema().equalsIgnoreCase("pmid") || p.getSchema().equalsIgnoreCase("arxiv"))
lista.add(new Tuple2<>(p.getValue(), w.getOrcid()));
});
return lista.iterator();
}, Encoders.tuple(Encoders.STRING(), Encoders.STRING()))
.groupByKey((MapFunction<Tuple2<String, String>, String>) Tuple2::_1, Encoders.STRING())
.mapGroups(
(MapGroupsFunction<String, Tuple2<String, String>, Coauthors>) (k, it) -> extractCoAuthors(it),
Encoders.bean(Coauthors.class))
.flatMap(
(FlatMapFunction<Coauthors, Relation>) c -> new CoAuthorshipIterator(c.getCoauthors()),
Encoders.bean(Relation.class))
.groupByKey((MapFunction<Relation, String>) r -> r.getSource() + r.getTarget(), Encoders.STRING())
.mapGroups(
(MapGroupsFunction<String, Relation, Relation>) (k, it) -> it.next(), Encoders.bean(Relation.class));
coauthorship
.write()
.option("compression", "gzip")
.mode(SaveMode.Overwrite)
.json(workingDir + "/coauthorship");
employment
.filter((FilterFunction<Employment>) e -> Optional.ofNullable(e.getAffiliationId()).isPresent())
.filter((FilterFunction<Employment>) e -> e.getAffiliationId().getSchema().equalsIgnoreCase("ror"))
.map(
(MapFunction<Employment, Relation>) ExtractPerson::getAffiliationRelation,
Encoders.bean(Relation.class))
.write()
.option("compression", "gzip")
.mode(SaveMode.Overwrite)
.json(workingDir + "/affiliation");
}
private static Dataset<Relation> getRelations(SparkSession spark, String path) {
return spark
.read()
.textFile(path)
.map(
(MapFunction<String, Relation>) value -> OBJECT_MAPPER
.readValue(value, Relation.class),
Encoders.bean(Relation.class));// spark.read().json(path).as(Encoders.bean(Relation.class));
}
private static Coauthors extractCoAuthors(Iterator<Tuple2<String, String>> it) {
Coauthors coauth = new Coauthors();
List<String> coauthors = new ArrayList<>();
while (it.hasNext())
coauthors.add(it.next()._2());
coauth.setCoauthors(coauthors);
return coauth;
}
private static Relation getAffiliationRelation(Employment row) {
String source = PERSON_PREFIX + "::" + IdentifierFactory.md5(row.getOrcid());
String target = ROR_PREFIX
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("ROR", row.getAffiliationId().getValue()));
List<KeyValue> properties = new ArrayList<>();
Relation relation = OafMapperUtils
.getRelation(
source, target, ModelConstants.ORG_PERSON_RELTYPE, ModelConstants.ORG_PERSON_SUBRELTYPE,
ModelConstants.ORG_PERSON_PARTICIPATES,
Arrays.asList(OafMapperUtils.keyValue(orcidKey, ModelConstants.ORCID_DS)),
ORCIDDATAINFO,
null);
relation.setValidated(true);
if (Optional.ofNullable(row.getStartDate()).isPresent() && StringUtils.isNotBlank(row.getStartDate())) {
KeyValue kv = new KeyValue();
kv.setKey("startDate");
kv.setValue(row.getStartDate());
properties.add(kv);
}
if (Optional.ofNullable(row.getEndDate()).isPresent() && StringUtils.isNotBlank(row.getEndDate())) {
KeyValue kv = new KeyValue();
kv.setKey("endDate");
kv.setValue(row.getEndDate());
properties.add(kv);
}
if (properties.size() > 0)
relation.setProperties(properties);
return relation;
}
private static @NotNull Iterator<Relation> getAuthorshipRelationIterator(Work w) {
if (Optional.ofNullable(w.getPids()).isPresent())
return w
.getPids()
.stream()
.map(pid -> getRelation(w.getOrcid(), pid))
.filter(Objects::nonNull)
.collect(Collectors.toList())
.iterator();
List<Relation> ret = new ArrayList<>();
return ret.iterator();
}
private static Relation getRelation(String orcid, eu.dnetlib.dhp.collection.orcid.model.Pid pid) {
String target;
String source = PERSON_PREFIX + "::" + IdentifierFactory.md5(orcid);
switch (pid.getSchema()) {
case "doi":
target = DOI_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.doi.toString(), pid.getValue()));
break;
case "pmid":
target = PMID_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.pmid.toString(), pid.getValue()));
break;
case "arxiv":
target = ARXIV_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.arXiv.toString(), pid.getValue()));
break;
case "pmcid":
target = PMCID_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.pmc.toString(), pid.getValue()));
break;
default:
return null;
}
Relation relation = OafMapperUtils
.getRelation(
source, target, ModelConstants.RESULT_PERSON_RELTYPE,
ModelConstants.RESULT_PERSON_SUBRELTYPE,
ModelConstants.RESULT_PERSON_HASAUTHORED,
Arrays.asList(OafMapperUtils.keyValue(orcidKey, ModelConstants.ORCID_DS)),
ORCIDDATAINFO,
null);
relation.setValidated(true);
return relation;
}
}

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@ -0,0 +1,25 @@
package eu.dnetlib.dhp.actionmanager.personentity;
import java.io.Serializable;
import java.util.ArrayList;
import org.apache.hadoop.yarn.webapp.hamlet.Hamlet;
import eu.dnetlib.dhp.collection.orcid.model.Work;
public class WorkList implements Serializable {
private ArrayList<Work> workArrayList;
public ArrayList<Work> getWorkArrayList() {
return workArrayList;
}
public void setWorkArrayList(ArrayList<Work> workArrayList) {
this.workArrayList = workArrayList;
}
public WorkList() {
workArrayList = new ArrayList<>();
}
}

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@ -0,0 +1,203 @@
package eu.dnetlib.dhp.actionmanager.raid;
import static eu.dnetlib.dhp.actionmanager.personentity.ExtractPerson.OPENAIRE_DATASOURCE_ID;
import static eu.dnetlib.dhp.actionmanager.personentity.ExtractPerson.OPENAIRE_DATASOURCE_NAME;
import static eu.dnetlib.dhp.common.Constants.*;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import static eu.dnetlib.dhp.schema.common.ModelConstants.*;
import static eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils.*;
import java.util.*;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.raid.model.RAiDEntity;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import eu.dnetlib.dhp.utils.DHPUtils;
import scala.Tuple2;
public class GenerateRAiDActionSetJob {
private static final Logger log = LoggerFactory
.getLogger(eu.dnetlib.dhp.actionmanager.raid.GenerateRAiDActionSetJob.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static final List<KeyValue> RAID_COLLECTED_FROM = listKeyValues(
OPENAIRE_DATASOURCE_ID, OPENAIRE_DATASOURCE_NAME);
private static final Qualifier RAID_QUALIFIER = qualifier(
"0049", "Research Activity Identifier", DNET_PUBLICATION_RESOURCE, DNET_PUBLICATION_RESOURCE);
private static final Qualifier RAID_INFERENCE_QUALIFIER = qualifier(
"raid:openaireinference", "Inferred by OpenAIRE", DNET_PROVENANCE_ACTIONS, DNET_PROVENANCE_ACTIONS);
private static final DataInfo RAID_DATA_INFO = dataInfo(
false, OPENAIRE_DATASOURCE_NAME, true, false, RAID_INFERENCE_QUALIFIER, "0.92");
public static void main(final String[] args) throws Exception {
final String jsonConfiguration = IOUtils
.toString(
eu.dnetlib.dhp.actionmanager.raid.GenerateRAiDActionSetJob.class
.getResourceAsStream("/eu/dnetlib/dhp/actionmanager/raid/action_set_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
final Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String inputPath = parser.get("inputPath");
log.info("inputPath: {}", inputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath {}: ", outputPath);
final SparkConf conf = new SparkConf();
runWithSparkSession(conf, isSparkSessionManaged, spark -> {
removeOutputDir(spark, outputPath);
processRAiDEntities(spark, inputPath, outputPath);
});
}
private static void removeOutputDir(final SparkSession spark, final String path) {
HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
}
static void processRAiDEntities(final SparkSession spark,
final String inputPath,
final String outputPath) {
readInputPath(spark, inputPath)
.map(GenerateRAiDActionSetJob::prepareRAiD)
.flatMap(List::iterator)
.mapToPair(
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
new Text(OBJECT_MAPPER.writeValueAsString(aa))))
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class);
}
protected static List<AtomicAction<? extends Oaf>> prepareRAiD(final RAiDEntity r) {
final Date now = new Date();
final OtherResearchProduct orp = new OtherResearchProduct();
final List<AtomicAction<? extends Oaf>> res = new ArrayList<>();
String raidId = calculateOpenaireId(r.getRaid());
orp.setId(raidId);
orp.setCollectedfrom(RAID_COLLECTED_FROM);
orp.setDataInfo(RAID_DATA_INFO);
orp
.setTitle(
Collections
.singletonList(
structuredProperty(
r.getTitle(),
qualifier("main title", "main title", DNET_DATACITE_TITLE, DNET_DATACITE_TITLE),
RAID_DATA_INFO)));
orp.setDescription(listFields(RAID_DATA_INFO, r.getSummary()));
Instance instance = new Instance();
instance.setInstancetype(RAID_QUALIFIER);
orp.setInstance(Collections.singletonList(instance));
orp
.setSubject(
r
.getSubjects()
.stream()
.map(
s -> subject(
s,
qualifier(
DNET_SUBJECT_KEYWORD, DNET_SUBJECT_KEYWORD, DNET_SUBJECT_TYPOLOGIES,
DNET_SUBJECT_TYPOLOGIES),
RAID_DATA_INFO))
.collect(Collectors.toList()));
orp
.setRelevantdate(
Arrays
.asList(
structuredProperty(
r.getEndDate(), qualifier(END_DATE, END_DATE, DNET_DATACITE_DATE, DNET_DATACITE_DATE),
RAID_DATA_INFO),
structuredProperty(
r.getStartDate(),
qualifier(START_DATE, START_DATE, DNET_DATACITE_DATE, DNET_DATACITE_DATE),
RAID_DATA_INFO)));
orp.setLastupdatetimestamp(now.getTime());
orp.setDateofacceptance(field(r.getStartDate(), RAID_DATA_INFO));
res.add(new AtomicAction<>(OtherResearchProduct.class, orp));
for (String resultId : r.getIds()) {
Relation rel1 = OafMapperUtils
.getRelation(
raidId,
resultId,
ModelConstants.RESULT_RESULT,
PART,
HAS_PART,
orp);
Relation rel2 = OafMapperUtils
.getRelation(
resultId,
raidId,
ModelConstants.RESULT_RESULT,
PART,
IS_PART_OF,
orp);
res.add(new AtomicAction<>(Relation.class, rel1));
res.add(new AtomicAction<>(Relation.class, rel2));
}
return res;
}
public static String calculateOpenaireId(final String raid) {
return String.format("50|%s::%s", RAID_NS_PREFIX, DHPUtils.md5(raid));
}
public static List<Author> createAuthors(final List<String> author) {
return author.stream().map(s -> {
Author a = new Author();
a.setFullname(s);
return a;
}).collect(Collectors.toList());
}
private static JavaRDD<RAiDEntity> readInputPath(
final SparkSession spark,
final String path) {
return spark
.read()
.json(path)
.as(Encoders.bean(RAiDEntity.class))
.toJavaRDD();
}
}

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@ -0,0 +1,5 @@
package eu.dnetlib.dhp.actionmanager.raid.model;
public class GenerateRAiDActionSetJob {
}

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@ -0,0 +1,106 @@
package eu.dnetlib.dhp.actionmanager.raid.model;
import java.io.Serializable;
import java.util.List;
public class RAiDEntity implements Serializable {
String raid;
List<String> authors;
String startDate;
String endDate;
List<String> subjects;
List<String> titles;
List<String> ids;
String title;
String summary;
public RAiDEntity() {
}
public RAiDEntity(String raid, List<String> authors, String startDate, String endDate, List<String> subjects,
List<String> titles, List<String> ids, String title, String summary) {
this.raid = raid;
this.authors = authors;
this.startDate = startDate;
this.endDate = endDate;
this.subjects = subjects;
this.titles = titles;
this.ids = ids;
this.title = title;
this.summary = summary;
}
public String getRaid() {
return raid;
}
public void setRaid(String raid) {
this.raid = raid;
}
public List<String> getAuthors() {
return authors;
}
public void setAuthors(List<String> authors) {
this.authors = authors;
}
public String getStartDate() {
return startDate;
}
public void setStartDate(String startDate) {
this.startDate = startDate;
}
public String getEndDate() {
return endDate;
}
public void setEndDate(String endDate) {
this.endDate = endDate;
}
public List<String> getSubjects() {
return subjects;
}
public void setSubjects(List<String> subjects) {
this.subjects = subjects;
}
public List<String> getTitles() {
return titles;
}
public void setTitles(List<String> titles) {
this.titles = titles;
}
public List<String> getIds() {
return ids;
}
public void setIds(List<String> ids) {
this.ids = ids;
}
public String getTitle() {
return title;
}
public void setTitle(String title) {
this.title = title;
}
public String getSummary() {
return summary;
}
public void setSummary(String summary) {
this.summary = summary;
}
}

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@ -44,13 +44,7 @@ import eu.dnetlib.dhp.common.Constants;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.DataInfo;
import eu.dnetlib.dhp.schema.oaf.Field;
import eu.dnetlib.dhp.schema.oaf.KeyValue;
import eu.dnetlib.dhp.schema.oaf.Oaf;
import eu.dnetlib.dhp.schema.oaf.Organization;
import eu.dnetlib.dhp.schema.oaf.Qualifier;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.utils.DHPUtils;
import scala.Tuple2;

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@ -0,0 +1,91 @@
package eu.dnetlib.dhp.actionmanager.sdgnodoi;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.IOException;
import java.io.Serializable;
import java.util.Objects;
import java.util.Optional;
import org.apache.commons.cli.ParseException;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.fs.Hdfs;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.oaf.Result;
import scala.Tuple2;
public class CreateActionSetSparkJob implements Serializable {
private static final Logger log = LoggerFactory.getLogger(CreateActionSetSparkJob.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
public static void main(final String[] args) throws IOException, ParseException {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
Objects
.requireNonNull(
CreateActionSetSparkJob.class
.getResourceAsStream(
"/eu/dnetlib/dhp/actionmanager/fosnodoi/as_parameters.json"))));
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);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
HdfsSupport.remove(outputPath, spark.sparkContext().hadoopConfiguration());
createActionSet(spark, inputPath, outputPath);
});
}
private static void createActionSet(SparkSession spark, String inputPath, String outputPath) {
spark
.read()
.textFile(inputPath)
.map(
(MapFunction<String, Result>) value -> OBJECT_MAPPER.readValue(value, Result.class),
Encoders.bean(Result.class))
.toJavaRDD()
.map(p -> new AtomicAction(p.getClass(), p))
.mapToPair(
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
new Text(OBJECT_MAPPER.writeValueAsString(aa))))
.saveAsHadoopFile(
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
}
}

View File

@ -5,11 +5,10 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;
import java.util.*;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.io.compress.BZip2Codec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
@ -21,6 +20,7 @@ import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.Constants;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelConstants;
@ -44,8 +44,7 @@ public class CreateActionSetFromWebEntries implements Serializable {
private static final String PMID_PREFIX = "50|pmid________::";
private static final String PMCID_PREFIX = "50|pmc_________::";
private static final String WEB_CRAWL_ID = "10|openaire____::fb98a192f6a055ba495ef414c330834b";
private static final String WEB_CRAWL_NAME = "Web Crawl";
public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
public static void main(String[] args) throws Exception {
@ -104,8 +103,6 @@ public class CreateActionSetFromWebEntries implements Serializable {
final String ror = ROR_PREFIX
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("ROR", row.getAs("ror")));
ret.addAll(createAffiliationRelationPairDOI(row.getAs("doi"), ror));
ret.addAll(createAffiliationRelationPairPMID(row.getAs("pmid"), ror));
ret.addAll(createAffiliationRelationPairPMCID(row.getAs("pmcid"), ror));
return ret
.iterator();
@ -115,7 +112,7 @@ public class CreateActionSetFromWebEntries implements Serializable {
.mapToPair(
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
new Text(OBJECT_MAPPER.writeValueAsString(aa))))
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, BZip2Codec.class);
}
@ -139,8 +136,9 @@ public class CreateActionSetFromWebEntries implements Serializable {
"institution", functions
.explode(
functions.col("institutions")))
.selectExpr(
"id", "doi", "ids.pmcid as pmcid", "ids.pmid as pmid", "institution.ror as ror",
"id", "doi", "institution.ror as ror",
"institution.country_code as country_code", "publication_year")
.distinct();
@ -150,8 +148,7 @@ public class CreateActionSetFromWebEntries implements Serializable {
return spark
.read()
.option("header", true)
.csv(inputPath)
.json(inputPath)
.select("OpenAlexId");
}
@ -214,7 +211,7 @@ public class CreateActionSetFromWebEntries implements Serializable {
ModelConstants.IS_AUTHOR_INSTITUTION_OF,
Arrays
.asList(
OafMapperUtils.keyValue(WEB_CRAWL_ID, WEB_CRAWL_NAME)),
OafMapperUtils.keyValue(Constants.WEB_CRAWL_ID, Constants.WEB_CRAWL_NAME)),
OafMapperUtils
.dataInfo(
false, null, false, false,
@ -233,7 +230,7 @@ public class CreateActionSetFromWebEntries implements Serializable {
ModelConstants.HAS_AUTHOR_INSTITUTION,
Arrays
.asList(
OafMapperUtils.keyValue(WEB_CRAWL_ID, WEB_CRAWL_NAME)),
OafMapperUtils.keyValue(Constants.WEB_CRAWL_ID, Constants.WEB_CRAWL_NAME)),
OafMapperUtils
.dataInfo(
false, null, false, false,

View File

@ -0,0 +1,158 @@
package eu.dnetlib.dhp.actionmanager.webcrawl;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import static org.apache.spark.sql.functions.*;
import java.io.File;
import java.io.Serializable;
import java.util.Arrays;
import java.util.Optional;
import org.apache.commons.io.FileUtils;
import org.apache.commons.io.IOUtils;
import org.apache.commons.io.filefilter.DirectoryFileFilter;
import org.apache.commons.io.filefilter.FileFileFilter;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.BZip2Codec;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.*;
import org.apache.spark.sql.types.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
import scala.Tuple2;
public class RemoveRelationFromActionSet
implements Serializable {
private static final Logger log = LoggerFactory.getLogger(CreateActionSetFromWebEntries.class);
private static final ObjectMapper MAPPER = new ObjectMapper();
private static final StructType KV_SCHEMA = StructType$.MODULE$
.apply(
Arrays
.asList(
StructField$.MODULE$.apply("key", DataTypes.StringType, false, Metadata.empty()),
StructField$.MODULE$.apply("value", DataTypes.StringType, false, Metadata.empty())));
private static final StructType ATOMIC_ACTION_SCHEMA = StructType$.MODULE$
.apply(
Arrays
.asList(
StructField$.MODULE$.apply("clazz", DataTypes.StringType, false, Metadata.empty()),
StructField$.MODULE$
.apply(
"payload", DataTypes.StringType, false, Metadata.empty())));
public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
CreateActionSetFromWebEntries.class
.getResourceAsStream(
"/eu/dnetlib/dhp/actionmanager/webcrawl/as_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);
// the actionSet path
final String inputPath = parser.get("sourcePath");
log.info("inputPath: {}", inputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final String blackListInputPath = parser.get("blackListPath");
log.info("blackListInputPath: {}", blackListInputPath);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
removeFromActionSet(spark, inputPath, outputPath, blackListInputPath);
});
}
private static void removeFromActionSet(SparkSession spark, String inputPath, String outputPath,
String blackListInputPath) {
// read the blacklist
Dataset<String> blackList = readBlackList(spark, blackListInputPath)
.map(
(MapFunction<Row, String>) r -> IdentifierFactory
.idFromPid("50", "doi", ((String) r.getAs("doi")).substring(16), true),
Encoders.STRING());
// read the old actionset and get the relations in the payload
JavaPairRDD<Text, Text> seq = JavaSparkContext
.fromSparkContext(spark.sparkContext())
.sequenceFile(inputPath, Text.class, Text.class);
JavaRDD<Row> rdd = seq
.map(x -> RowFactory.create(x._1().toString(), x._2().toString()));
Dataset<Row> actionSet = spark
.createDataFrame(rdd, KV_SCHEMA)
.withColumn("atomic_action", from_json(col("value"), ATOMIC_ACTION_SCHEMA))
.select(expr("atomic_action.*"));
Dataset<Relation> relation = actionSet
.map(
(MapFunction<Row, Relation>) r -> MAPPER.readValue((String) r.getAs("payload"), Relation.class),
Encoders.bean(Relation.class));
// select only the relation not matching any pid in the blacklist as source for the relation
Dataset<Relation> relNoSource = relation
.joinWith(blackList, relation.col("source").equalTo(blackList.col("value")), "left")
.filter((FilterFunction<Tuple2<Relation, String>>) t2 -> t2._2() == null)
.map((MapFunction<Tuple2<Relation, String>, Relation>) t2 -> t2._1(), Encoders.bean(Relation.class));
// select only the relation not matching any pid in the blacklist as target of the relation
relNoSource
.joinWith(blackList, relNoSource.col("target").equalTo(blackList.col("value")), "left")
.filter((FilterFunction<Tuple2<Relation, String>>) t2 -> t2._2() == null)
.map((MapFunction<Tuple2<Relation, String>, Relation>) t2 -> t2._1(), Encoders.bean(Relation.class))
.toJavaRDD()
.map(p -> new AtomicAction(p.getClass(), p))
.mapToPair(
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
new Text(OBJECT_MAPPER.writeValueAsString(aa))))
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, BZip2Codec.class);
;
}
private static Dataset<Row> readBlackList(SparkSession spark, String inputPath) {
return spark
.read()
.json(inputPath)
.select("doi");
}
}

View File

@ -22,10 +22,13 @@ import eu.dnetlib.dhp.collection.plugin.CollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.base.BaseCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.file.FileCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.file.FileGZipCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.gtr2.Gtr2PublicationsCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.mongodb.MDStoreCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.mongodb.MongoDbDumpCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.oai.OaiCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.osf.OsfPreprintsCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.rest.RestCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.zenodo.CollectZenodoDumpCollectorPlugin;
import eu.dnetlib.dhp.common.aggregation.AggregatorReport;
import eu.dnetlib.dhp.common.collection.CollectorException;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
@ -58,7 +61,7 @@ public class CollectorWorker extends ReportingJob {
public void collect() throws UnknownCollectorPluginException, CollectorException, IOException {
final String outputPath = mdStoreVersion.getHdfsPath() + SEQUENCE_FILE_NAME;
final String outputPath = this.mdStoreVersion.getHdfsPath() + SEQUENCE_FILE_NAME;
log.info("outputPath path is {}", outputPath);
final CollectorPlugin plugin = getCollectorPlugin();
@ -68,36 +71,36 @@ public class CollectorWorker extends ReportingJob {
try (SequenceFile.Writer writer = SequenceFile
.createWriter(
fileSystem.getConf(),
SequenceFile.Writer.file(new Path(outputPath)),
SequenceFile.Writer.keyClass(IntWritable.class),
SequenceFile.Writer.valueClass(Text.class),
this.fileSystem.getConf(), SequenceFile.Writer.file(new Path(outputPath)), SequenceFile.Writer
.keyClass(IntWritable.class),
SequenceFile.Writer
.valueClass(Text.class),
SequenceFile.Writer.compression(SequenceFile.CompressionType.BLOCK, new DeflateCodec()))) {
final IntWritable key = new IntWritable(counter.get());
final Text value = new Text();
plugin
.collect(api, report)
.forEach(
content -> {
key.set(counter.getAndIncrement());
value.set(content);
try {
writer.append(key, value);
} catch (Throwable e) {
throw new RuntimeException(e);
}
});
} catch (Throwable e) {
report.put(e.getClass().getName(), e.getMessage());
.collect(this.api, this.report)
.forEach(content -> {
key.set(counter.getAndIncrement());
value.set(content);
try {
writer.append(key, value);
} catch (final Throwable e) {
throw new RuntimeException(e);
}
});
} catch (final Throwable e) {
this.report.put(e.getClass().getName(), e.getMessage());
throw new CollectorException(e);
} finally {
shutdown();
report.ongoing(counter.longValue(), counter.longValue());
this.report.ongoing(counter.longValue(), counter.longValue());
}
}
private void scheduleReport(AtomicInteger counter) {
private void scheduleReport(final AtomicInteger counter) {
schedule(new ReporterCallback() {
@Override
public Long getCurrent() {
return counter.longValue();
@ -112,33 +115,39 @@ public class CollectorWorker extends ReportingJob {
private CollectorPlugin getCollectorPlugin() throws UnknownCollectorPluginException {
switch (CollectorPlugin.NAME.valueOf(api.getProtocol())) {
switch (CollectorPlugin.NAME.valueOf(this.api.getProtocol())) {
case oai:
return new OaiCollectorPlugin(clientParams);
return new OaiCollectorPlugin(this.clientParams);
case rest_json2xml:
return new RestCollectorPlugin(clientParams);
return new RestCollectorPlugin(this.clientParams);
case file:
return new FileCollectorPlugin(fileSystem);
return new FileCollectorPlugin(this.fileSystem);
case fileGzip:
return new FileGZipCollectorPlugin(fileSystem);
return new FileGZipCollectorPlugin(this.fileSystem);
case baseDump:
return new BaseCollectorPlugin(this.fileSystem);
case gtr2Publications:
return new Gtr2PublicationsCollectorPlugin(this.clientParams);
case osfPreprints:
return new OsfPreprintsCollectorPlugin(this.clientParams);
case zenodoDump:
return new CollectZenodoDumpCollectorPlugin();
case other:
final CollectorPlugin.NAME.OTHER_NAME plugin = Optional
.ofNullable(api.getParams().get("other_plugin_type"))
.ofNullable(this.api.getParams().get("other_plugin_type"))
.map(CollectorPlugin.NAME.OTHER_NAME::valueOf)
.orElseThrow(() -> new IllegalArgumentException("invalid other_plugin_type"));
switch (plugin) {
case mdstore_mongodb_dump:
return new MongoDbDumpCollectorPlugin(fileSystem);
return new MongoDbDumpCollectorPlugin(this.fileSystem);
case mdstore_mongodb:
return new MDStoreCollectorPlugin();
default:
throw new UnknownCollectorPluginException("plugin is not managed: " + plugin);
}
default:
throw new UnknownCollectorPluginException("protocol is not managed: " + api.getProtocol());
throw new UnknownCollectorPluginException("protocol is not managed: " + this.api.getProtocol());
}
}

View File

@ -154,14 +154,13 @@ public class ORCIDExtractor extends Thread {
extractedItem++;
if (extractedItem % 100000 == 0) {
log.info("Thread {}: Extracted {} items", id, extractedItem);
break;
}
}
}
}
} finally {
for (SequenceFile.Writer k : fileMap.values()) {
log.info("Thread {}: Completed processed {} items", id, extractedItem);
log.info("Thread {}: Completed processed {} items", id, extractedItem);
k.hflush();
k.close();
}

View File

@ -20,6 +20,9 @@ public class Author extends ORCIDItem {
private String lastModifiedDate;
public Author() {
}
public String getBiography() {
return biography;
}

View File

@ -11,4 +11,7 @@ public class ORCIDItem {
public void setOrcid(String orcid) {
this.orcid = orcid;
}
public ORCIDItem() {
}
}

View File

@ -32,4 +32,6 @@ public class Work extends ORCIDItem {
pids.add(pid);
}
public Work() {
}
}

View File

@ -11,7 +11,7 @@ public interface CollectorPlugin {
enum NAME {
oai, other, rest_json2xml, file, fileGzip, baseDump;
oai, other, rest_json2xml, file, fileGzip, baseDump, gtr2Publications, osfPreprints, zenodoDump;
public enum OTHER_NAME {
mdstore_mongodb_dump, mdstore_mongodb

View File

@ -0,0 +1,43 @@
package eu.dnetlib.dhp.collection.plugin.gtr2;
import java.util.Iterator;
import java.util.Spliterator;
import java.util.Spliterators;
import java.util.stream.Stream;
import java.util.stream.StreamSupport;
import eu.dnetlib.dhp.collection.ApiDescriptor;
import eu.dnetlib.dhp.collection.plugin.CollectorPlugin;
import eu.dnetlib.dhp.common.aggregation.AggregatorReport;
import eu.dnetlib.dhp.common.collection.CollectorException;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
public class Gtr2PublicationsCollectorPlugin implements CollectorPlugin {
private final HttpClientParams clientParams;
public Gtr2PublicationsCollectorPlugin(final HttpClientParams clientParams) {
this.clientParams = clientParams;
}
@Override
public Stream<String> collect(final ApiDescriptor api, final AggregatorReport report) throws CollectorException {
final String baseUrl = api.getBaseUrl();
final String startPage = api.getParams().get("startPage");
final String endPage = api.getParams().get("endPage");
final String fromDate = api.getParams().get("fromDate");
if ((fromDate != null) && !fromDate.matches("\\d{4}-\\d{2}-\\d{2}")) {
throw new CollectorException("Invalid date (YYYY-MM-DD): " + fromDate);
}
final Iterator<String> iterator = new Gtr2PublicationsIterator(baseUrl, fromDate, startPage, endPage,
this.clientParams);
final Spliterator<String> spliterator = Spliterators.spliteratorUnknownSize(iterator, Spliterator.ORDERED);
return StreamSupport.stream(spliterator, false);
}
}

View File

@ -0,0 +1,215 @@
package eu.dnetlib.dhp.collection.plugin.gtr2;
import java.nio.charset.StandardCharsets;
import java.time.LocalDate;
import java.time.format.DateTimeFormatter;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.Iterator;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import java.util.Queue;
import java.util.function.Function;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.lang3.math.NumberUtils;
import org.dom4j.Document;
import org.dom4j.DocumentException;
import org.dom4j.DocumentHelper;
import org.dom4j.Element;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.common.collection.CollectorException;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
import eu.dnetlib.dhp.common.collection.HttpConnector2;
public class Gtr2PublicationsIterator implements Iterator<String> {
public static final int PAGE_SIZE = 20;
private static final Logger log = LoggerFactory.getLogger(Gtr2PublicationsIterator.class);
private final HttpConnector2 connector;
private static final DateTimeFormatter simpleDateTimeFormatter = DateTimeFormatter.ofPattern("yyyy-MM-dd");
private static final int MAX_ATTEMPTS = 10;
private final String baseUrl;
private int currPage;
private int endPage;
private boolean incremental = false;
private LocalDate fromDate;
private final Map<String, String> cache = new HashMap<>();
private final Queue<String> queue = new LinkedList<>();
private String nextElement;
public Gtr2PublicationsIterator(final String baseUrl, final String fromDate, final String startPage,
final String endPage,
final HttpClientParams clientParams)
throws CollectorException {
this.baseUrl = baseUrl;
this.currPage = NumberUtils.toInt(startPage, 1);
this.endPage = NumberUtils.toInt(endPage, Integer.MAX_VALUE);
this.incremental = StringUtils.isNotBlank(fromDate);
this.connector = new HttpConnector2(clientParams);
if (this.incremental) {
this.fromDate = parseDate(fromDate);
}
prepareNextElement();
}
@Override
public boolean hasNext() {
return this.nextElement != null;
}
@Override
public String next() {
try {
return this.nextElement;
} finally {
prepareNextElement();
}
}
@Override
public void remove() {
throw new UnsupportedOperationException();
}
private void prepareNextElement() {
while ((this.currPage <= this.endPage) && this.queue.isEmpty()) {
log.debug("FETCHING PAGE + " + this.currPage + "/" + this.endPage);
this.queue.addAll(fetchPage(this.currPage++));
}
this.nextElement = this.queue.poll();
}
private List<String> fetchPage(final int pageNumber) {
final List<String> res = new ArrayList<>();
try {
final Document doc = loadURL(cleanURL(this.baseUrl + "/outcomes/publications?p=" + pageNumber), 0);
if (this.endPage == Integer.MAX_VALUE) {
this.endPage = NumberUtils.toInt(doc.valueOf("/*/@*[local-name() = 'totalPages']"));
}
for (final Object po : doc.selectNodes("//*[local-name() = 'publication']")) {
final Element mainEntity = (Element) ((Element) po).detach();
if (filterIncremental(mainEntity)) {
res.add(expandMainEntity(mainEntity));
} else {
log.debug("Skipped entity");
}
}
} catch (final Throwable e) {
log.error("Exception fetching page " + pageNumber, e);
throw new RuntimeException("Exception fetching page " + pageNumber, e);
}
return res;
}
private void addLinkedEntities(final Element master, final String relType, final Element newRoot,
final Function<Document, Element> mapper) {
for (final Object o : master.selectNodes(".//*[local-name()='link']")) {
final String rel = ((Element) o).valueOf("@*[local-name()='rel']");
final String href = ((Element) o).valueOf("@*[local-name()='href']");
if (relType.equals(rel) && StringUtils.isNotBlank(href)) {
final String cacheKey = relType + "#" + href;
if (this.cache.containsKey(cacheKey)) {
try {
log.debug(" * from cache (" + relType + "): " + href);
newRoot.add(DocumentHelper.parseText(this.cache.get(cacheKey)).getRootElement());
} catch (final DocumentException e) {
log.error("Error retrieving cache element: " + cacheKey, e);
throw new RuntimeException("Error retrieving cache element: " + cacheKey, e);
}
} else {
final Document doc = loadURL(cleanURL(href), 0);
final Element elem = mapper.apply(doc);
newRoot.add(elem);
this.cache.put(cacheKey, elem.asXML());
}
}
}
}
private boolean filterIncremental(final Element e) {
if (!this.incremental || isAfter(e.valueOf("@*[local-name() = 'created']"), this.fromDate)
|| isAfter(e.valueOf("@*[local-name() = 'updated']"), this.fromDate)) {
return true;
}
return false;
}
private String expandMainEntity(final Element mainEntity) {
final Element newRoot = DocumentHelper.createElement("doc");
newRoot.add(mainEntity);
addLinkedEntities(mainEntity, "PROJECT", newRoot, this::asProjectElement);
return DocumentHelper.createDocument(newRoot).asXML();
}
private Element asProjectElement(final Document doc) {
final Element newOrg = DocumentHelper.createElement("project");
newOrg.addElement("id").setText(doc.valueOf("/*/@*[local-name()='id']"));
newOrg
.addElement("code")
.setText(doc.valueOf("//*[local-name()='identifier' and @*[local-name()='type'] = 'RCUK']"));
newOrg.addElement("title").setText(doc.valueOf("//*[local-name()='title']"));
return newOrg;
}
private static String cleanURL(final String url) {
String cleaned = url;
if (cleaned.contains("gtr.gtr")) {
cleaned = cleaned.replace("gtr.gtr", "gtr");
}
if (cleaned.startsWith("http://")) {
cleaned = cleaned.replaceFirst("http://", "https://");
}
return cleaned;
}
private Document loadURL(final String cleanUrl, final int attempt) {
try {
log.debug(" * Downloading Url: {}", cleanUrl);
final byte[] bytes = this.connector.getInputSource(cleanUrl).getBytes(StandardCharsets.UTF_8);
return DocumentHelper.parseText(new String(bytes));
} catch (final Throwable e) {
log.error("Error dowloading url: {}, attempt = {}", cleanUrl, attempt, e);
if (attempt >= MAX_ATTEMPTS) {
throw new RuntimeException("Error downloading url: " + cleanUrl, e);
}
try {
Thread.sleep(60000); // I wait for a minute
} catch (final InterruptedException e1) {
throw new RuntimeException("Error downloading url: " + cleanUrl, e);
}
return loadURL(cleanUrl, attempt + 1);
}
}
private LocalDate parseDate(final String s) {
return LocalDate.parse(s.contains("T") ? s.substring(0, s.indexOf("T")) : s, simpleDateTimeFormatter);
}
private boolean isAfter(final String d, final LocalDate fromDate) {
return StringUtils.isNotBlank(d) && parseDate(d).isAfter(fromDate);
}
}

View File

@ -0,0 +1,52 @@
package eu.dnetlib.dhp.collection.plugin.osf;
import java.util.Optional;
import java.util.Spliterator;
import java.util.Spliterators;
import java.util.stream.Stream;
import java.util.stream.StreamSupport;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.lang3.math.NumberUtils;
import eu.dnetlib.dhp.collection.ApiDescriptor;
import eu.dnetlib.dhp.collection.plugin.CollectorPlugin;
import eu.dnetlib.dhp.common.aggregation.AggregatorReport;
import eu.dnetlib.dhp.common.collection.CollectorException;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
public class OsfPreprintsCollectorPlugin implements CollectorPlugin {
public static final int PAGE_SIZE_VALUE_DEFAULT = 100;
private final HttpClientParams clientParams;
public OsfPreprintsCollectorPlugin(final HttpClientParams clientParams) {
this.clientParams = clientParams;
}
@Override
public Stream<String> collect(final ApiDescriptor api, final AggregatorReport report) throws CollectorException {
final String baseUrl = api.getBaseUrl();
final int pageSize = Optional
.ofNullable(api.getParams().get("pageSize"))
.filter(StringUtils::isNotBlank)
.map(s -> NumberUtils.toInt(s, PAGE_SIZE_VALUE_DEFAULT))
.orElse(PAGE_SIZE_VALUE_DEFAULT);
if (StringUtils.isBlank(baseUrl)) {
throw new CollectorException("Param 'baseUrl' is null or empty");
}
final OsfPreprintsIterator it = new OsfPreprintsIterator(baseUrl, pageSize, getClientParams());
return StreamSupport
.stream(Spliterators.spliteratorUnknownSize(it, Spliterator.ORDERED), false);
}
public HttpClientParams getClientParams() {
return this.clientParams;
}
}

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@ -0,0 +1,151 @@
package eu.dnetlib.dhp.collection.plugin.osf;
import java.util.Iterator;
import java.util.Queue;
import java.util.concurrent.PriorityBlockingQueue;
import org.apache.commons.lang3.StringUtils;
import org.dom4j.Document;
import org.dom4j.DocumentHelper;
import org.dom4j.Element;
import org.dom4j.Node;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.collection.plugin.utils.JsonUtils;
import eu.dnetlib.dhp.common.collection.CollectorException;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
import eu.dnetlib.dhp.common.collection.HttpConnector2;
public class OsfPreprintsIterator implements Iterator<String> {
private static final Logger log = LoggerFactory.getLogger(OsfPreprintsIterator.class);
private static final int MAX_ATTEMPTS = 5;
private final HttpClientParams clientParams;
private final String baseUrl;
private final int pageSize;
private String currentUrl;
private final Queue<String> recordQueue = new PriorityBlockingQueue<>();
public OsfPreprintsIterator(
final String baseUrl,
final int pageSize,
final HttpClientParams clientParams) {
this.clientParams = clientParams;
this.baseUrl = baseUrl;
this.pageSize = pageSize;
initQueue();
}
private void initQueue() {
this.currentUrl = this.baseUrl + "?filter:is_published:d=true&format=json&page[size]=" + this.pageSize;
log.info("REST calls starting with {}", this.currentUrl);
}
@Override
public boolean hasNext() {
synchronized (this.recordQueue) {
while (this.recordQueue.isEmpty() && StringUtils.isNotBlank(this.currentUrl)
&& this.currentUrl.startsWith("http")) {
try {
this.currentUrl = downloadPage(this.currentUrl);
} catch (final CollectorException e) {
log.debug("CollectorPlugin.next()-Exception: {}", e);
throw new RuntimeException(e);
}
}
if (!this.recordQueue.isEmpty()) {
return true;
}
return false;
}
}
@Override
public String next() {
synchronized (this.recordQueue) {
return this.recordQueue.poll();
}
}
private String downloadPage(final String url) throws CollectorException {
final Document doc = downloadUrl(url, 0);
for (final Object o : doc.selectNodes("/*/data")) {
final Element n = (Element) ((Element) o).detach();
final Element group = DocumentHelper.createElement("group");
group.addAttribute("id", n.valueOf("./id"));
group.addElement("preprint").add(n);
for (final Object o1 : n.selectNodes(".//contributors//href")) {
final String href = ((Node) o1).getText();
if (StringUtils.isNotBlank(href) && href.startsWith("http")) {
final Document doc1 = downloadUrl(href, 0);
group.addElement("contributors").add(doc1.getRootElement().detach());
}
}
for (final Object o1 : n.selectNodes(".//primary_file//href")) {
final String href = ((Node) o1).getText();
if (StringUtils.isNotBlank(href) && href.startsWith("http")) {
final Document doc1 = downloadUrl(href, 0);
group.addElement("primary_file").add(doc1.getRootElement().detach());
}
}
this.recordQueue.add(DocumentHelper.createDocument(group).asXML());
}
return doc.valueOf("/*/links/next");
}
private Document downloadUrl(final String url, final int attempt) throws CollectorException {
if (attempt > MAX_ATTEMPTS) {
throw new CollectorException("Max Number of attempts reached, url:" + url);
}
if (attempt > 0) {
final int delay = (attempt * 5000);
log.debug("Attempt {} with delay {}", attempt, delay);
try {
Thread.sleep(delay);
} catch (final InterruptedException e) {
new CollectorException(e);
}
}
try {
log.info("requesting URL [{}]", url);
final HttpConnector2 connector = new HttpConnector2(this.clientParams);
final String json = connector.getInputSource(url);
final String xml = JsonUtils.convertToXML(json);
return DocumentHelper.parseText(xml);
} catch (final Throwable e) {
log.warn(e.getMessage(), e);
if ((e instanceof CollectorException) && e.getMessage().contains("401")) {
final Element root = DocumentHelper.createElement("error_401_authorization_required");
return DocumentHelper.createDocument(root);
}
return downloadUrl(url, attempt + 1);
}
}
}

View File

@ -0,0 +1,76 @@
package eu.dnetlib.dhp.collection.plugin.researchfi;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import java.util.Spliterator;
import java.util.Spliterators;
import java.util.stream.Stream;
import java.util.stream.StreamSupport;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.http.NameValuePair;
import org.apache.http.client.entity.UrlEncodedFormEntity;
import org.apache.http.client.methods.CloseableHttpResponse;
import org.apache.http.client.methods.HttpPost;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.message.BasicNameValuePair;
import org.json.JSONObject;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.collection.ApiDescriptor;
import eu.dnetlib.dhp.collection.plugin.CollectorPlugin;
import eu.dnetlib.dhp.common.aggregation.AggregatorReport;
import eu.dnetlib.dhp.common.collection.CollectorException;
public class ResearchFiCollectorPlugin implements CollectorPlugin {
private static final Logger log = LoggerFactory.getLogger(ResearchFiCollectorPlugin.class);
@Override
public Stream<String> collect(final ApiDescriptor api, final AggregatorReport report)
throws CollectorException {
final String authUrl = api.getParams().get("auth_url");
final String clientId = api.getParams().get("auth_client_id");
final String clientSecret = api.getParams().get("auth_client_secret");
final String authToken = authenticate(authUrl, clientId, clientSecret);
final Iterator<String> iter = new ResearchFiIterator(api.getBaseUrl(), authToken);
return StreamSupport.stream(Spliterators.spliteratorUnknownSize(iter, Spliterator.ORDERED), false);
}
private String authenticate(final String authUrl, final String clientId, final String clientSecret)
throws CollectorException {
try (final CloseableHttpClient client = HttpClients.createDefault()) {
final HttpPost req = new HttpPost(authUrl);
final List<NameValuePair> params = new ArrayList<>();
params.add(new BasicNameValuePair("grant_type", "client_credentials"));
params.add(new BasicNameValuePair("client_id", clientId));
params.add(new BasicNameValuePair("client_secret", clientSecret));
req.setEntity(new UrlEncodedFormEntity(params, "UTF-8"));
try (final CloseableHttpResponse response = client.execute(req)) {
final String content = IOUtils.toString(response.getEntity().getContent());
final JSONObject obj = new JSONObject(content);
final String token = obj.getString("access_token");
if (StringUtils.isNotBlank(token)) {
return token;
}
}
} catch (final Throwable e) {
log.warn("Error obtaining access token", e);
throw new CollectorException("Error obtaining access token", e);
}
throw new CollectorException("Access token is missing");
}
}

View File

@ -0,0 +1,117 @@
package eu.dnetlib.dhp.collection.plugin.researchfi;
import java.util.Iterator;
import java.util.Queue;
import java.util.concurrent.PriorityBlockingQueue;
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.http.Header;
import org.apache.http.client.methods.CloseableHttpResponse;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClients;
import org.json.JSONArray;
import eu.dnetlib.dhp.collection.plugin.utils.JsonUtils;
import eu.dnetlib.dhp.common.collection.CollectorException;
public class ResearchFiIterator implements Iterator<String> {
private static final Log log = LogFactory.getLog(ResearchFiIterator.class);
private static final int PAGE_SIZE = 100;
private final String baseUrl;
private final String authToken;
private String nextUrl;
private int nCalls = 0;
private final Queue<String> queue = new PriorityBlockingQueue<>();
public ResearchFiIterator(final String baseUrl, final String authToken) {
this.baseUrl = baseUrl;
this.authToken = authToken;
this.nextUrl = null;
}
private void verifyStarted() {
try {
if (this.nCalls == 0) {
this.nextUrl = invokeUrl(this.baseUrl);
}
} catch (final CollectorException e) {
throw new IllegalStateException(e);
}
}
@Override
public boolean hasNext() {
synchronized (this.queue) {
verifyStarted();
return !this.queue.isEmpty();
}
}
@Override
public String next() {
synchronized (this.queue) {
verifyStarted();
final String res = this.queue.poll();
while (this.queue.isEmpty() && StringUtils.isNotBlank(this.nextUrl)) {
try {
this.nextUrl = invokeUrl(this.nextUrl);
} catch (final CollectorException e) {
throw new IllegalStateException(e);
}
}
return res;
}
}
private String invokeUrl(final String url) throws CollectorException {
this.nCalls += 1;
String next = null;
log.info("Calling url: " + url);
try (final CloseableHttpClient client = HttpClients.createDefault()) {
final HttpGet req = new HttpGet(url);
req.addHeader("Authorization", "Bearer " + this.authToken);
try (final CloseableHttpResponse response = client.execute(req)) {
for (final Header header : response.getAllHeaders()) {
log.debug("HEADER: " + header.getName() + " = " + header.getValue());
if ("link".equals(header.getName())) {
final String s = StringUtils.substringBetween(header.getValue(), "<", ">");
final String token = StringUtils
.substringBefore(StringUtils.substringAfter(s, "NextPageToken="), "&");
if (this.baseUrl.contains("?")) {
next = this.baseUrl + "&NextPageToken=" + token;
} else {
next = this.baseUrl + "?NextPageToken=" + token;
}
}
}
final String content = IOUtils.toString(response.getEntity().getContent());
final JSONArray jsonArray = new JSONArray(content);
jsonArray.forEach(obj -> this.queue.add(JsonUtils.convertToXML(obj.toString())));
}
return next;
} catch (final Throwable e) {
log.warn("Error calling url: " + url, e);
throw new CollectorException("Error calling url: " + url, e);
}
}
}

View File

@ -12,6 +12,8 @@ import java.util.Iterator;
import java.util.Map;
import java.util.Queue;
import java.util.concurrent.PriorityBlockingQueue;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import javax.xml.transform.OutputKeys;
import javax.xml.transform.Transformer;
@ -19,16 +21,10 @@ import javax.xml.transform.TransformerConfigurationException;
import javax.xml.transform.TransformerFactory;
import javax.xml.transform.dom.DOMSource;
import javax.xml.transform.stream.StreamResult;
import javax.xml.xpath.XPath;
import javax.xml.xpath.XPathConstants;
import javax.xml.xpath.XPathExpression;
import javax.xml.xpath.XPathExpressionException;
import javax.xml.xpath.XPathFactory;
import javax.xml.xpath.*;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.http.HttpHeaders;
import org.apache.http.entity.ContentType;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.w3c.dom.Node;
@ -51,7 +47,6 @@ import eu.dnetlib.dhp.common.collection.HttpClientParams;
*
*/
public class RestIterator implements Iterator<String> {
private static final Logger log = LoggerFactory.getLogger(RestIterator.class);
public static final String UTF_8 = "UTF-8";
private static final int MAX_ATTEMPTS = 5;
@ -60,11 +55,15 @@ public class RestIterator implements Iterator<String> {
private final String AUTHBASIC = "basic";
private static final String XML_HEADER = "<?xml version=\"1.0\" encoding=\"UTF-8\"?>";
private static final String EMPTY_XML = XML_HEADER + "<" + JsonUtils.XML_WRAP_TAG + "></" + JsonUtils.XML_WRAP_TAG
+ ">";
private final String baseUrl;
private final String resumptionType;
private final String resumptionParam;
private final String resultFormatValue;
private String queryParams;
private String queryParams = "";
private final int resultSizeValue;
private int resumptionInt = 0; // integer resumption token (first record to harvest)
private int resultTotal = -1;
@ -158,7 +157,12 @@ public class RestIterator implements Iterator<String> {
}
private void initQueue() {
this.query = this.baseUrl + "?" + this.queryParams + this.querySize + this.queryFormat;
if (queryParams.equals("") && querySize.equals("") && queryFormat.equals("")) {
query = baseUrl;
} else {
query = baseUrl + "?" + queryParams + querySize + queryFormat;
}
log.info("REST calls starting with {}", this.query);
}
@ -172,19 +176,6 @@ public class RestIterator implements Iterator<String> {
*/
@Override
public boolean hasNext() {
if (this.recordQueue.isEmpty() && this.query.isEmpty()) {
disconnect();
return false;
}
return true;
}
/*
* (non-Javadoc)
* @see java.util.Iterator#next()
*/
@Override
public String next() {
synchronized (this.recordQueue) {
while (this.recordQueue.isEmpty() && !this.query.isEmpty()) {
try {
@ -194,6 +185,23 @@ public class RestIterator implements Iterator<String> {
throw new RuntimeException(e);
}
}
if (!this.recordQueue.isEmpty()) {
return true;
}
disconnect();
return false;
}
}
/*
* (non-Javadoc)
* @see java.util.Iterator#next()
*/
@Override
public String next() {
synchronized (this.recordQueue) {
return this.recordQueue.poll();
}
}
@ -219,9 +227,8 @@ public class RestIterator implements Iterator<String> {
try {
String resultJson;
String resultXml = "<?xml version=\"1.0\" encoding=\"UTF-8\"?>";
String resultXml = XML_HEADER;
String nextQuery = "";
final String emptyXml = resultXml + "<" + JsonUtils.XML_WRAP_TAG + "></" + JsonUtils.XML_WRAP_TAG + ">";
Node resultNode = null;
NodeList nodeList = null;
String qUrlArgument = "";
@ -236,6 +243,22 @@ public class RestIterator implements Iterator<String> {
}
}
// find pagination page start number in queryParam and remove before start the first query
if ((resumptionType.toLowerCase().equals("pagination") || resumptionType.toLowerCase().equals("page"))
&& (query.contains("paginationStart="))) {
final Matcher m = Pattern.compile("paginationStart=([0-9]+)").matcher(query);
m.find(); // guaranteed to be true for this regex
String[] pageVal = m.group(0).split("=");
pagination = Integer.parseInt(pageVal[1]);
// remove page start number from query and queryParams
queryParams = queryParams.replaceFirst("&?paginationStart=[0-9]+", "");
query = query.replaceFirst("&?paginationStart=[0-9]+", "");
}
try {
log.info("requesting URL [{}]", query);
@ -261,7 +284,7 @@ public class RestIterator implements Iterator<String> {
this.resultStream = IOUtils.toInputStream(resultXml, UTF_8);
}
if (!(emptyXml).equalsIgnoreCase(resultXml)) {
if (!isEmptyXml(resultXml)) {
resultNode = (Node) this.xpath
.evaluate("/", new InputSource(this.resultStream), XPathConstants.NODE);
nodeList = (NodeList) this.xprEntity.evaluate(resultNode, XPathConstants.NODESET);
@ -270,8 +293,7 @@ public class RestIterator implements Iterator<String> {
final StringWriter sw = new StringWriter();
this.transformer.transform(new DOMSource(nodeList.item(i)), new StreamResult(sw));
final String toEnqueue = sw.toString();
if ((toEnqueue == null) || StringUtils.isBlank(toEnqueue)
|| emptyXml.equalsIgnoreCase(toEnqueue)) {
if ((toEnqueue == null) || StringUtils.isBlank(toEnqueue) || isEmptyXml(toEnqueue)) {
log
.warn(
"The following record resulted in empty item for the feeding queue: {}", resultXml);
@ -299,6 +321,7 @@ public class RestIterator implements Iterator<String> {
throw new CollectorException("Mode: discover, Param 'resultSizeValue' is less than 2");
}
qUrlArgument = qUrl.getQuery();
final String[] arrayQUrlArgument = qUrlArgument.split("&");
for (final String arrayUrlArgStr : arrayQUrlArgument) {
if (arrayUrlArgStr.startsWith(this.resumptionParam)) {
@ -312,7 +335,7 @@ public class RestIterator implements Iterator<String> {
}
}
if (((emptyXml).equalsIgnoreCase(resultXml))
if (isEmptyXml(resultXml)
|| ((nodeList != null) && (nodeList.getLength() < this.resultSizeValue))) {
// resumptionStr = "";
if (nodeList != null) {
@ -331,13 +354,13 @@ public class RestIterator implements Iterator<String> {
case "pagination":
case "page": // pagination, iterate over page numbers
this.pagination += 1;
if (nodeList != null) {
if (nodeList != null && nodeList.getLength() > 0) {
this.discoverResultSize += nodeList.getLength();
} else {
this.resultTotal = this.discoverResultSize;
this.pagination = this.discoverResultSize;
}
this.pagination += 1;
this.resumptionInt = this.pagination;
this.resumptionStr = Integer.toString(this.resumptionInt);
break;
@ -415,6 +438,10 @@ public class RestIterator implements Iterator<String> {
}
private boolean isEmptyXml(String s) {
return EMPTY_XML.equalsIgnoreCase(s);
}
private boolean isInteger(final String s) {
boolean isValidInteger = false;
try {

View File

@ -0,0 +1,96 @@
package eu.dnetlib.dhp.collection.plugin.zenodo;
import static eu.dnetlib.dhp.utils.DHPUtils.getHadoopConfiguration;
import java.io.IOException;
import java.io.InputStream;
import java.util.stream.Stream;
import java.util.stream.StreamSupport;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.compress.CompressionCodec;
import org.apache.hadoop.io.compress.CompressionCodecFactory;
import org.apache.http.client.config.RequestConfig;
import org.apache.http.client.methods.CloseableHttpResponse;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClientBuilder;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.collection.ApiDescriptor;
import eu.dnetlib.dhp.collection.plugin.CollectorPlugin;
import eu.dnetlib.dhp.common.aggregation.AggregatorReport;
import eu.dnetlib.dhp.common.collection.CollectorException;
public class CollectZenodoDumpCollectorPlugin implements CollectorPlugin {
final private Logger log = LoggerFactory.getLogger(getClass());
private void downloadItem(final String name, final String itemURL, final String basePath,
final FileSystem fileSystem) {
try {
final Path hdfsWritePath = new Path(String.format("%s/%s", basePath, name));
final FSDataOutputStream fsDataOutputStream = fileSystem.create(hdfsWritePath, true);
final HttpGet request = new HttpGet(itemURL);
final int timeout = 60; // seconds
final RequestConfig config = RequestConfig
.custom()
.setConnectTimeout(timeout * 1000)
.setConnectionRequestTimeout(timeout * 1000)
.setSocketTimeout(timeout * 1000)
.build();
log.info("Downloading url {} into {}", itemURL, hdfsWritePath.getName());
try (CloseableHttpClient client = HttpClientBuilder.create().setDefaultRequestConfig(config).build();
CloseableHttpResponse response = client.execute(request)) {
int responseCode = response.getStatusLine().getStatusCode();
log.info("Response code is {}", responseCode);
if (responseCode >= 200 && responseCode < 400) {
IOUtils.copy(response.getEntity().getContent(), fsDataOutputStream);
}
} catch (Throwable eu) {
throw new RuntimeException(eu);
}
} catch (Throwable e) {
throw new RuntimeException(e);
}
}
@Override
public Stream<String> collect(ApiDescriptor api, AggregatorReport report) throws CollectorException {
try {
final String zenodoURL = api.getBaseUrl();
final String hdfsURI = api.getParams().get("hdfsURI");
final FileSystem fileSystem = FileSystem.get(getHadoopConfiguration(hdfsURI));
downloadItem("zenodoDump.tar.gz", zenodoURL, "/tmp", fileSystem);
CompressionCodecFactory factory = new CompressionCodecFactory(fileSystem.getConf());
Path sourcePath = new Path("/tmp/zenodoDump.tar.gz");
CompressionCodec codec = factory.getCodec(sourcePath);
InputStream gzipInputStream = null;
try {
gzipInputStream = codec.createInputStream(fileSystem.open(sourcePath));
return iterateTar(gzipInputStream);
} catch (IOException e) {
throw new CollectorException(e);
} finally {
log.info("Closing gzip stream");
org.apache.hadoop.io.IOUtils.closeStream(gzipInputStream);
}
} catch (Exception e) {
throw new CollectorException(e);
}
}
private Stream<String> iterateTar(InputStream gzipInputStream) throws Exception {
Iterable<String> iterable = () -> new ZenodoTarIterator(gzipInputStream);
return StreamSupport.stream(iterable.spliterator(), false);
}
}

View File

@ -0,0 +1,59 @@
package eu.dnetlib.dhp.collection.plugin.zenodo;
import java.io.Closeable;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.util.Iterator;
import org.apache.commons.compress.archivers.tar.TarArchiveEntry;
import org.apache.commons.compress.archivers.tar.TarArchiveInputStream;
import org.apache.commons.io.IOUtils;
public class ZenodoTarIterator implements Iterator<String>, Closeable {
private final InputStream gzipInputStream;
private final StringBuilder currentItem = new StringBuilder();
private TarArchiveInputStream tais;
private boolean hasNext;
public ZenodoTarIterator(InputStream gzipInputStream) {
this.gzipInputStream = gzipInputStream;
tais = new TarArchiveInputStream(gzipInputStream);
hasNext = getNextItem();
}
private boolean getNextItem() {
try {
TarArchiveEntry entry;
while ((entry = tais.getNextTarEntry()) != null) {
if (entry.isFile()) {
currentItem.setLength(0);
currentItem.append(IOUtils.toString(new InputStreamReader(tais)));
return true;
}
}
return false;
} catch (Throwable e) {
throw new RuntimeException(e);
}
}
@Override
public boolean hasNext() {
return hasNext;
}
@Override
public String next() {
final String data = currentItem.toString();
hasNext = getNextItem();
return data;
}
@Override
public void close() throws IOException {
gzipInputStream.close();
}
}

View File

@ -0,0 +1,39 @@
package eu.dnetlib.dhp.sx.bio.pubmed;
/**
* The type Pubmed Affiliation.
*
* @author Sandro La Bruzzo
*/
public class PMAffiliation {
private String name;
private PMIdentifier identifier;
public PMAffiliation() {
}
public PMAffiliation(String name, PMIdentifier identifier) {
this.name = name;
this.identifier = identifier;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public PMIdentifier getIdentifier() {
return identifier;
}
public void setIdentifier(PMIdentifier identifier) {
this.identifier = identifier;
}
}

View File

@ -8,259 +8,115 @@ import java.util.List;
/**
* This class represent an instance of Pubmed Article extracted from the native XML
*
* @author Sandro La Bruzzo
*/
public class PMArticle implements Serializable {
/**
* the Pubmed Identifier
*/
private String pmid;
private String pmcId;
/**
* the DOI
*/
private String doi;
/**
* the Pubmed Date extracted from <PubmedPubDate> Specifies a date significant to either the article's history or the citation's processing.
* All <History> dates will have a <Year>, <Month>, and <Day> elements. Some may have an <Hour>, <Minute>, and <Second> element(s).
*/
private String date;
/**
* This is an 'envelop' element that contains various elements describing the journal cited; i.e., ISSN, Volume, Issue, and PubDate and author name(s), however, it does not contain data itself.
*/
private PMJournal journal;
/**
* 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. The NLM journal title abbreviation is exported in the <MedlineTA> element.
*/
private String title;
/**
* 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.
*/
private String description;
/**
* the language in which an article was published is recorded in <Language>.
* All entries are three letter abbreviations stored in lower case, such as eng, fre, ger, jpn, etc. When a single
* record contains more than one language value the XML export program extracts the languages in alphabetic order by the 3-letter language value.
* Some records provided by collaborating data producers may contain the value und to identify articles whose language is undetermined.
*/
private String language;
/**
* NLM controlled vocabulary, Medical Subject Headings (MeSH®), is used to characterize the content of the articles represented by MEDLINE citations. *
*/
private final List<PMSubject> subjects = new ArrayList<>();
/**
* This element is used to identify the type of article indexed for MEDLINE;
* it characterizes the nature of the information or the manner in which it is conveyed as well as the type of
* research support received (e.g., Review, Letter, Retracted Publication, Clinical Conference, Research Support, N.I.H., Extramural).
*/
private final List<PMSubject> publicationTypes = new ArrayList<>();
/**
* Personal and collective (corporate) author names published with the article are found in <AuthorList>.
*/
private List<PMSubject> subjects;
private List<PMSubject> publicationTypes = new ArrayList<>();
private List<PMAuthor> authors = new ArrayList<>();
private List<PMGrant> grants = new ArrayList<>();
/**
* <GrantID> contains the research grant or contract number (or both) that designates financial support by any agency of the United States Public Health Service
* or any institute of the National Institutes of Health. Additionally, beginning in late 2005, grant numbers are included for many other US and non-US funding agencies and organizations.
*/
private final List<PMGrant> grants = new ArrayList<>();
/**
* get the DOI
* @return a DOI
*/
public String getDoi() {
return doi;
}
/**
* Set the DOI
* @param doi a DOI
*/
public void setDoi(String doi) {
this.doi = doi;
}
/**
* get the Pubmed Identifier
* @return the PMID
*/
public String getPmid() {
return pmid;
}
/**
* set the Pubmed Identifier
* @param pmid the Pubmed Identifier
*/
public void setPmid(String pmid) {
this.pmid = pmid;
}
/**
* the Pubmed Date extracted from <PubmedPubDate> Specifies a date significant to either the article's history or the citation's processing.
* All <History> dates will have a <Year>, <Month>, and <Day> elements. Some may have an <Hour>, <Minute>, and <Second> element(s).
*
* @return the Pubmed Date
*/
public String getDate() {
return date;
}
/**
* Set the pubmed Date
* @param date
*/
public void setDate(String date) {
this.date = date;
}
/**
* 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.
* The NLM journal title abbreviation is exported in the <MedlineTA> element.
*
* @return the pubmed Journal Extracted
*/
public PMJournal getJournal() {
return journal;
}
/**
* Set the mapped pubmed Journal
* @param journal
*/
public void setJournal(PMJournal journal) {
this.journal = journal;
}
/**
* <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
*/
public String getTitle() {
return title;
}
/**
* set the pubmed title
* @param title
*/
public void setTitle(String title) {
this.title = title;
}
/**
* 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.
*
* @return the Mapped Pubmed Article Abstracts
*/
public String getDescription() {
return description;
}
/**
* Set the Mapped Pubmed Article Abstracts
* @param description
*/
public void setDescription(String description) {
this.description = description;
}
/**
* Personal and collective (corporate) author names published with the article are found in <AuthorList>.
*
* @return get the Mapped Authors lists
*/
public List<PMAuthor> getAuthors() {
return authors;
}
/**
* Set the Mapped Authors lists
* @param authors
*/
public void setAuthors(List<PMAuthor> authors) {
this.authors = authors;
}
/**
* This element is used to identify the type of article indexed for MEDLINE;
* it characterizes the nature of the information or the manner in which it is conveyed as well as the type of
* research support received (e.g., Review, Letter, Retracted Publication, Clinical Conference, Research Support, N.I.H., Extramural).
*
* @return the mapped Subjects
*/
public List<PMSubject> getSubjects() {
return subjects;
}
/**
*
* the language in which an article was published is recorded in <Language>.
* All entries are three letter abbreviations stored in lower case, such as eng, fre, ger, jpn, etc. When a single
* record contains more than one language value the XML export program extracts the languages in alphabetic order by the 3-letter language value.
* Some records provided by collaborating data producers may contain the value und to identify articles whose language is undetermined.
*
* @return The mapped Language
*/
public String getLanguage() {
return language;
}
/**
*
* Set The mapped Language
*
* @param language the mapped Language
*/
public void setLanguage(String language) {
this.language = language;
}
/**
* This element is used to identify the type of article indexed for MEDLINE;
* it characterizes the nature of the information or the manner in which it is conveyed as well as the type of
* research support received (e.g., Review, Letter, Retracted Publication, Clinical Conference, Research Support, N.I.H., Extramural).
*
* @return the mapped Publication Type
*/
public List<PMSubject> getPublicationTypes() {
return publicationTypes;
}
/**
* <GrantID> contains the research grant or contract number (or both) that designates financial support by any agency of the United States Public Health Service
* or any institute of the National Institutes of Health. Additionally, beginning in late 2005, grant numbers are included for many other US and non-US funding agencies and organizations.
* @return the mapped grants
*/
public List<PMGrant> getGrants() {
return grants;
}
public String getPmcId() {
return pmcId;
}
public PMArticle setPmcId(String pmcId) {
public void setPmcId(String pmcId) {
this.pmcId = pmcId;
return this;
}
public String getDoi() {
return doi;
}
public void setDoi(String doi) {
this.doi = doi;
}
public String getDate() {
return date;
}
public void setDate(String date) {
this.date = date;
}
public PMJournal getJournal() {
return journal;
}
public void setJournal(PMJournal journal) {
this.journal = journal;
}
public String getTitle() {
return title;
}
public void setTitle(String title) {
this.title = title;
}
public String getDescription() {
return description;
}
public void setDescription(String description) {
this.description = description;
}
public String getLanguage() {
return language;
}
public void setLanguage(String language) {
this.language = language;
}
public List<PMSubject> getSubjects() {
return subjects;
}
public void setSubjects(List<PMSubject> subjects) {
this.subjects = subjects;
}
public List<PMSubject> getPublicationTypes() {
return publicationTypes;
}
public void setPublicationTypes(List<PMSubject> publicationTypes) {
this.publicationTypes = publicationTypes;
}
public List<PMAuthor> getAuthors() {
return authors;
}
public void setAuthors(List<PMAuthor> authors) {
this.authors = authors;
}
public List<PMGrant> getGrants() {
return grants;
}
public void setGrants(List<PMGrant> grants) {
this.grants = grants;
}
}

View File

@ -12,6 +12,8 @@ public class PMAuthor implements Serializable {
private String lastName;
private String foreName;
private PMIdentifier identifier;
private PMAffiliation affiliation;
/**
* Gets last name.
@ -59,4 +61,40 @@ public class PMAuthor implements Serializable {
.format("%s, %s", this.foreName != null ? this.foreName : "", this.lastName != null ? this.lastName : "");
}
/**
* Gets identifier.
*
* @return the identifier
*/
public PMIdentifier getIdentifier() {
return identifier;
}
/**
* Sets identifier.
*
* @param identifier the identifier
*/
public void setIdentifier(PMIdentifier identifier) {
this.identifier = identifier;
}
/**
* Gets affiliation.
*
* @return the affiliation
*/
public PMAffiliation getAffiliation() {
return affiliation;
}
/**
* Sets affiliation.
*
* @param affiliation the affiliation
*/
public void setAffiliation(PMAffiliation affiliation) {
this.affiliation = affiliation;
}
}

View File

@ -0,0 +1,53 @@
package eu.dnetlib.dhp.sx.bio.pubmed;
public class PMIdentifier {
private String pid;
private String type;
public PMIdentifier(String pid, String type) {
this.pid = cleanPid(pid);
this.type = type;
}
public PMIdentifier() {
}
private String cleanPid(String pid) {
if (pid == null) {
return null;
}
// clean ORCID ID in the form 0000000163025705 to 0000-0001-6302-5705
if (pid.matches("[0-9]{15}[0-9X]")) {
return pid.replaceAll("(.{4})(.{4})(.{4})(.{4})", "$1-$2-$3-$4");
}
// clean ORCID in the form http://orcid.org/0000-0001-8567-3543 to 0000-0001-8567-3543
if (pid.matches("http://orcid.org/[0-9]{4}-[0-9]{4}-[0-9]{4}-[0-9]{4}")) {
return pid.replaceAll("http://orcid.org/", "");
}
return pid;
}
public String getPid() {
return pid;
}
public PMIdentifier setPid(String pid) {
this.pid = cleanPid(pid);
return this;
}
public String getType() {
return type;
}
public PMIdentifier setType(String type) {
this.type = type;
return this;
}
}

View File

@ -29,6 +29,18 @@
"paramDescription": "the path to get the input data from Datacite",
"paramRequired": true
},
{
"paramName": "wip",
"paramLongName": "webCrawlInputPath",
"paramDescription": "the path to get the input data from Web Crawl",
"paramRequired": true
},
{
"paramName": "pub",
"paramLongName": "publisherInputPath",
"paramDescription": "the path to get the input data from publishers",
"paramRequired": true
},
{
"paramName": "o",
"paramLongName": "outputPath",

View File

@ -31,9 +31,11 @@ spark2SqlQueryExecutionListeners=com.cloudera.spark.lineage.NavigatorQueryListen
# The following is needed as a property of a workflow
oozie.wf.application.path=${oozieTopWfApplicationPath}
crossrefInputPath=/data/bip-affiliations/crossref-data.json
pubmedInputPath=/data/bip-affiliations/pubmed-data.json
openapcInputPath=/data/bip-affiliations/openapc-data.json
dataciteInputPath=/data/bip-affiliations/datacite-data.json
crossrefInputPath=/data/openaire-affiliations/crossref-data.json
pubmedInputPath=/data/openaire-affiliations/pubmed-data-v4.json
openapcInputPath=/data/openaire-affiliations/openapc-data.json
dataciteInputPath=/data/openaire-affiliations/datacite-data.json
webCrawlInputPath=/data/openaire-affiliations/webCrawl
publisherInputPath=/data/openaire-affiliations/publishers
outputPath=/tmp/crossref-affiliations-output-v5
outputPath=/tmp/affRoAS

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