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Merge branch 'beta' of code-repo.d4science.org:D-Net/dnet-hadoop into beta

This commit is contained in:
Michele Artini 2024-04-03 09:50:41 +02:00
commit 71d6e02886
208 changed files with 109053 additions and 2426 deletions

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@ -1,6 +1,24 @@
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 java.util.Map;
import java.util.Optional;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ForkJoinPool;
import java.util.stream.Collectors;
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.ReduceFunction;
import org.apache.spark.sql.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
@ -12,25 +30,8 @@ import eu.dnetlib.dhp.schema.oaf.utils.MergeUtils;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
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.ReduceFunction;
import org.apache.spark.sql.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import scala.Tuple2;
import java.util.Map;
import java.util.Optional;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ForkJoinPool;
import java.util.stream.Collectors;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import static org.apache.spark.sql.functions.col;
import static org.apache.spark.sql.functions.when;
/**
* Groups the graph content by entity identifier to ensure ID uniqueness
*/

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@ -0,0 +1,76 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import java.util.HashSet;
import java.util.Objects;
import java.util.Optional;
import java.util.Set;
import org.apache.commons.lang3.StringUtils;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
public class CleaningFunctions {
public static final String DOI_PREFIX_REGEX = "(^10\\.|\\/10\\.)";
public static final String DOI_PREFIX = "10.";
public static final Set<String> PID_BLACKLIST = new HashSet<>();
static {
PID_BLACKLIST.add("none");
PID_BLACKLIST.add("na");
}
public CleaningFunctions() {
}
/**
* Utility method that filter PID values on a per-type basis.
* @param s the PID whose value will be checked.
* @return false if the pid matches the filter criteria, true otherwise.
*/
public static boolean pidFilter(StructuredProperty s) {
final String pidValue = s.getValue();
if (Objects.isNull(s.getQualifier()) ||
StringUtils.isBlank(pidValue) ||
StringUtils.isBlank(pidValue.replaceAll("(?:\\n|\\r|\\t|\\s)", ""))) {
return false;
}
if (CleaningFunctions.PID_BLACKLIST.contains(pidValue)) {
return false;
}
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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@ -506,6 +506,8 @@ public class GraphCleaningFunctions extends CleaningFunctions {
.filter(Objects::nonNull)
.filter(sp -> StringUtils.isNotBlank(sp.getValue()))
.map(GraphCleaningFunctions::cleanValue)
.sorted((s1, s2) -> s2.getValue().length() - s1.getValue().length())
.limit(ModelHardLimits.MAX_ABSTRACTS)
.collect(Collectors.toList()));
}
if (Objects.isNull(r.getResourcetype()) || StringUtils.isBlank(r.getResourcetype().getClassid())) {

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@ -0,0 +1,294 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import static com.google.common.base.Preconditions.checkArgument;
import static eu.dnetlib.dhp.schema.common.ModelConstants.*;
import java.io.Serializable;
import java.nio.charset.StandardCharsets;
import java.security.MessageDigest;
import java.util.*;
import java.util.function.Function;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import org.apache.commons.codec.binary.Hex;
import org.apache.commons.lang3.StringUtils;
import com.google.common.collect.HashBiMap;
import com.google.common.collect.Maps;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
/**
* Factory class for OpenAIRE identifiers in the Graph
*/
public class IdentifierFactory implements Serializable {
public static final String ID_SEPARATOR = "::";
public static final String ID_PREFIX_SEPARATOR = "|";
public static final int ID_PREFIX_LEN = 12;
/**
* Declares the associations PID_TYPE -> [DATASOURCE ID, NAME] considered authoritative for that PID_TYPE.
* The id of the record (source_::id) will be rewritten as pidType_::id)
*/
public static final Map<PidType, HashBiMap<String, String>> PID_AUTHORITY = Maps.newHashMap();
static {
PID_AUTHORITY.put(PidType.doi, HashBiMap.create());
PID_AUTHORITY.get(PidType.doi).put(CROSSREF_ID, "Crossref");
PID_AUTHORITY.get(PidType.doi).put(DATACITE_ID, "Datacite");
PID_AUTHORITY.get(PidType.doi).put(ZENODO_OD_ID, "ZENODO");
PID_AUTHORITY.get(PidType.doi).put(ZENODO_R3_ID, "Zenodo");
PID_AUTHORITY.put(PidType.pmc, HashBiMap.create());
PID_AUTHORITY.get(PidType.pmc).put(EUROPE_PUBMED_CENTRAL_ID, "Europe PubMed Central");
PID_AUTHORITY.get(PidType.pmc).put(PUBMED_CENTRAL_ID, "PubMed Central");
PID_AUTHORITY.put(PidType.pmid, HashBiMap.create());
PID_AUTHORITY.get(PidType.pmid).put(EUROPE_PUBMED_CENTRAL_ID, "Europe PubMed Central");
PID_AUTHORITY.get(PidType.pmid).put(PUBMED_CENTRAL_ID, "PubMed Central");
PID_AUTHORITY.put(PidType.arXiv, HashBiMap.create());
PID_AUTHORITY.get(PidType.arXiv).put(ARXIV_ID, "arXiv.org e-Print Archive");
PID_AUTHORITY.put(PidType.w3id, HashBiMap.create());
PID_AUTHORITY.get(PidType.w3id).put(ROHUB_ID, "ROHub");
}
/**
* Declares the associations PID_TYPE -> [DATASOURCE ID, PID SUBSTRING] considered as delegated authority for that
* PID_TYPE. Example, Zenodo is delegated to forge DOIs that contain the 'zenodo' word.
*
* If a record with the same id (same pid) comes from 2 data sources, the one coming from a delegated source wins. E.g. Zenodo records win over those from Datacite.
* See also https://code-repo.d4science.org/D-Net/dnet-hadoop/pulls/187 and the class dhp-common/src/main/java/eu/dnetlib/dhp/schema/oaf/utils/OafMapperUtils.java
*/
public static final Map<PidType, Map<String, String>> DELEGATED_PID_AUTHORITY = Maps.newHashMap();
static {
DELEGATED_PID_AUTHORITY.put(PidType.doi, new HashMap<>());
DELEGATED_PID_AUTHORITY.get(PidType.doi).put(ZENODO_OD_ID, "zenodo");
DELEGATED_PID_AUTHORITY.get(PidType.doi).put(ZENODO_R3_ID, "zenodo");
DELEGATED_PID_AUTHORITY.put(PidType.w3id, new HashMap<>());
DELEGATED_PID_AUTHORITY.get(PidType.w3id).put(ROHUB_ID, "ro-id");
}
/**
* Declares the associations PID_TYPE -> [DATASOURCE ID, NAME] whose records are considered enrichment for the graph.
* Their OpenAIRE ID is built from the declared PID type. Are merged with their corresponding record, identified by
* the same OpenAIRE id.
*/
public static final Map<PidType, HashBiMap<String, String>> ENRICHMENT_PROVIDER = Maps.newHashMap();
static {
ENRICHMENT_PROVIDER.put(PidType.doi, HashBiMap.create());
ENRICHMENT_PROVIDER.get(PidType.doi).put(OPEN_APC_ID, OPEN_APC_NAME);
}
public static Set<String> delegatedAuthorityDatasourceIds() {
return DELEGATED_PID_AUTHORITY
.values()
.stream()
.flatMap(m -> m.keySet().stream())
.collect(Collectors.toCollection(HashSet::new));
}
public static List<StructuredProperty> getPids(List<StructuredProperty> pid, KeyValue collectedFrom) {
return pidFromInstance(pid, collectedFrom, true).distinct().collect(Collectors.toList());
}
public static <T extends Result> String createDOIBoostIdentifier(T entity) {
if (entity == null)
return null;
StructuredProperty pid = null;
if (entity.getPid() != null) {
pid = entity
.getPid()
.stream()
.filter(Objects::nonNull)
.filter(s -> s.getQualifier() != null && "doi".equalsIgnoreCase(s.getQualifier().getClassid()))
.filter(CleaningFunctions::pidFilter)
.findAny()
.orElse(null);
} else {
if (entity.getInstance() != null) {
pid = entity
.getInstance()
.stream()
.filter(i -> i.getPid() != null)
.flatMap(i -> i.getPid().stream())
.filter(CleaningFunctions::pidFilter)
.findAny()
.orElse(null);
}
}
if (pid != null)
return idFromPid(entity, pid, true);
return null;
}
/**
* Creates an identifier from the most relevant PID (if available) provided by a known PID authority in the given
* entity T. Returns entity.id when none of the PIDs meet the selection criteria is available.
*
* @param entity the entity providing PIDs and a default ID.
* @param <T> the specific entity type. Currently Organization and Result subclasses are supported.
* @param md5 indicates whether should hash the PID value or not.
* @return an identifier from the most relevant PID, entity.id otherwise
*/
public static <T extends OafEntity> String createIdentifier(T entity, boolean md5) {
checkArgument(StringUtils.isNoneBlank(entity.getId()), "missing entity identifier");
final Map<String, Set<StructuredProperty>> pids = extractPids(entity);
return pids
.values()
.stream()
.flatMap(Set::stream)
.min(new PidComparator<>(entity))
.map(
min -> Optional
.ofNullable(pids.get(min.getQualifier().getClassid()))
.map(
p -> p
.stream()
.sorted(new PidValueComparator())
.findFirst()
.map(s -> idFromPid(entity, s, md5))
.orElseGet(entity::getId))
.orElseGet(entity::getId))
.orElseGet(entity::getId);
}
private static <T extends OafEntity> Map<String, Set<StructuredProperty>> extractPids(T entity) {
if (entity instanceof Result) {
return Optional
.ofNullable(((Result) entity).getInstance())
.map(IdentifierFactory::mapPids)
.orElse(new HashMap<>());
} else {
return entity
.getPid()
.stream()
.map(CleaningFunctions::normalizePidValue)
.filter(CleaningFunctions::pidFilter)
.collect(
Collectors
.groupingBy(
p -> p.getQualifier().getClassid(),
Collectors.mapping(p -> p, Collectors.toCollection(HashSet::new))));
}
}
private static Map<String, Set<StructuredProperty>> mapPids(List<Instance> instance) {
return instance
.stream()
.map(i -> pidFromInstance(i.getPid(), i.getCollectedfrom(), false))
.flatMap(Function.identity())
.collect(
Collectors
.groupingBy(
p -> p.getQualifier().getClassid(),
Collectors.mapping(p -> p, Collectors.toCollection(HashSet::new))));
}
private static Stream<StructuredProperty> pidFromInstance(List<StructuredProperty> pid, KeyValue collectedFrom,
boolean mapHandles) {
return Optional
.ofNullable(pid)
.map(
pp -> pp
.stream()
// 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)
.filter(p -> isNotFromDelegatedAuthority(collectedFrom, p))
.filter(CleaningFunctions::pidFilter))
.orElse(Stream.empty());
}
private static boolean shouldFilterPidByCriteria(KeyValue collectedFrom, StructuredProperty p, boolean mapHandles) {
final PidType pType = PidType.tryValueOf(p.getQualifier().getClassid());
if (Objects.isNull(collectedFrom)) {
return false;
}
boolean isEnrich = Optional
.ofNullable(ENRICHMENT_PROVIDER.get(pType))
.map(
enrich -> enrich.containsKey(collectedFrom.getKey())
|| enrich.containsValue(collectedFrom.getValue()))
.orElse(false);
boolean isAuthority = Optional
.ofNullable(PID_AUTHORITY.get(pType))
.map(
authorities -> authorities.containsKey(collectedFrom.getKey())
|| authorities.containsValue(collectedFrom.getValue()))
.orElse(false);
return (mapHandles && pType.equals(PidType.handle)) || isEnrich || isAuthority;
}
private static boolean isNotFromDelegatedAuthority(KeyValue collectedFrom, StructuredProperty p) {
final PidType pType = PidType.tryValueOf(p.getQualifier().getClassid());
final Map<String, String> da = DELEGATED_PID_AUTHORITY.get(pType);
if (Objects.isNull(da)) {
return true;
}
if (!da.containsKey(collectedFrom.getKey())) {
return true;
}
return StringUtils.contains(p.getValue(), da.get(collectedFrom.getKey()));
}
/**
* @see {@link IdentifierFactory#createIdentifier(OafEntity, boolean)}
*/
public static <T extends OafEntity> String createIdentifier(T entity) {
return createIdentifier(entity, true);
}
private static <T extends OafEntity> String idFromPid(T entity, StructuredProperty s, boolean md5) {
return idFromPid(ModelSupport.getIdPrefix(entity.getClass()), s.getQualifier().getClassid(), s.getValue(), md5);
}
public static String idFromPid(String numericPrefix, String pidType, String pidValue, boolean md5) {
return new StringBuilder()
.append(numericPrefix)
.append(ID_PREFIX_SEPARATOR)
.append(createPrefix(pidType))
.append(ID_SEPARATOR)
.append(md5 ? md5(pidValue) : pidValue)
.toString();
}
// create the prefix (length = 12)
private static String createPrefix(String pidType) {
StringBuilder prefix = new StringBuilder(StringUtils.left(pidType, ID_PREFIX_LEN));
while (prefix.length() < ID_PREFIX_LEN) {
prefix.append("_");
}
return prefix.substring(0, ID_PREFIX_LEN);
}
public static String md5(final String s) {
try {
final MessageDigest md = MessageDigest.getInstance("MD5");
md.update(s.getBytes(StandardCharsets.UTF_8));
return new String(Hex.encodeHex(md.digest()));
} catch (final Exception e) {
return null;
}
}
}

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@ -1,22 +1,21 @@
package eu.dnetlib.dhp.schema.oaf.utils;
//
// Source code recreated from a .class file by IntelliJ IDEA
// (powered by FernFlower decompiler)
//
import eu.dnetlib.dhp.schema.common.EntityType;
import eu.dnetlib.dhp.schema.oaf.KeyValue;
import eu.dnetlib.dhp.schema.oaf.Oaf;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Result;
import java.util.Comparator;
import java.util.HashSet;
import java.util.Optional;
import java.util.stream.Collectors;
//
// Source code recreated from a .class file by IntelliJ IDEA
// (powered by FernFlower decompiler)
//
import eu.dnetlib.dhp.schema.common.EntityType;
import eu.dnetlib.dhp.schema.oaf.KeyValue;
import eu.dnetlib.dhp.schema.oaf.Oaf;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Result;
public class MergeComparator implements Comparator<Oaf> {
public MergeComparator() {
}
@ -41,14 +40,14 @@ public class MergeComparator implements Comparator<Oaf> {
// collectedfrom
HashSet<String> lCf = getCollectedFromIds(left);
HashSet<String> rCf = getCollectedFromIds(right);
if (lCf.contains("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2") && !rCf.contains("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")) {
if (lCf.contains("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")
&& !rCf.contains("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")) {
return -1;
} else if (!lCf.contains("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2") && rCf.contains("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")) {
} else if (!lCf.contains("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")
&& rCf.contains("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")) {
return 1;
}
SubEntityType lClass = SubEntityType.fromClass(left.getClass());
SubEntityType rClass = SubEntityType.fromClass(right.getClass());
return lClass.ordinal() - rClass.ordinal();

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@ -1,21 +1,28 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import static com.google.common.base.Preconditions.checkArgument;
import static org.apache.commons.lang3.ObjectUtils.firstNonNull;
import java.text.ParseException;
import java.time.ZoneId;
import java.util.*;
import java.util.function.BinaryOperator;
import java.util.function.Function;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.lang3.tuple.ImmutablePair;
import org.apache.commons.lang3.tuple.Pair;
import com.github.sisyphsu.dateparser.DateParserUtils;
import com.google.common.base.Joiner;
import eu.dnetlib.dhp.schema.common.AccessRightComparator;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.lang3.tuple.ImmutablePair;
import org.apache.commons.lang3.tuple.Pair;
import java.text.ParseException;
import java.util.*;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import static com.google.common.base.Objects.firstNonNull;
import static com.google.common.base.Preconditions.checkArgument;
public class MergeUtils {
@ -49,7 +56,7 @@ public class MergeUtils {
if (sameClass(left, right, Result.class)) {
if (!left.getClass().equals(right.getClass()) || checkDelegatedAuthority) {
return mergeResultsOfDifferentTypes((Result)left, (Result) right);
return mergeResultsOfDifferentTypes((Result) left, (Result) right);
}
if (sameClass(left, right, Publication.class)) {
@ -106,7 +113,7 @@ public class MergeUtils {
if (!leftFromDelegatedAuthority && rightFromDelegatedAuthority) {
return right;
}
//TODO: raise trust to have preferred fields from one or the other??
// TODO: raise trust to have preferred fields from one or the other??
if (new ResultTypeComparator().compare(left, right) < 0) {
return mergeResult(left, right);
} else {
@ -168,8 +175,8 @@ public class MergeUtils {
return a || b;
}
private static <T> List<T> unionDistinctLists(final List<T> left, final List<T> right, int trust) {
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) {
@ -179,7 +186,26 @@ public class MergeUtils {
List<T> h = trust >= 0 ? left : right;
List<T> l = trust >= 0 ? right : left;
return Stream.concat(h.stream(), l.stream())
return new ArrayList<>(Stream
.concat(h.stream(), l.stream())
.filter(Objects::nonNull)
.distinct()
.collect(Collectors.toMap(keyExtractor, v -> v, merger))
.values());
}
private static <T, K> List<T> unionDistinctLists(final List<T> left, final List<T> right, int trust) {
if (left == null) {
return right;
} else if (right == null) {
return left;
}
List<T> h = trust >= 0 ? left : right;
List<T> l = trust >= 0 ? right : left;
return Stream
.concat(h.stream(), l.stream())
.filter(Objects::nonNull)
.distinct()
.collect(Collectors.toList());
@ -192,13 +218,14 @@ public class MergeUtils {
return l;
}
return Stream.concat(l.stream(), r.stream())
return Stream
.concat(l.stream(), r.stream())
.filter(StringUtils::isNotBlank)
.distinct()
.collect(Collectors.toList());
}
//TODO review
// TODO review
private static List<KeyValue> mergeKeyValue(List<KeyValue> left, List<KeyValue> right, int trust) {
if (trust < 0) {
List<KeyValue> s = left;
@ -213,7 +240,8 @@ public class MergeUtils {
return new ArrayList<>(values.values());
}
private static List<StructuredProperty> unionTitle(List<StructuredProperty> left, List<StructuredProperty> right, int trust) {
private static List<StructuredProperty> unionTitle(List<StructuredProperty> left, List<StructuredProperty> right,
int trust) {
if (left == null) {
return right;
} else if (right == null) {
@ -223,7 +251,8 @@ public class MergeUtils {
List<StructuredProperty> h = trust >= 0 ? left : right;
List<StructuredProperty> l = trust >= 0 ? right : left;
return Stream.concat(h.stream(), l.stream())
return Stream
.concat(h.stream(), l.stream())
.filter(Objects::isNull)
.distinct()
.collect(Collectors.toList());
@ -239,7 +268,7 @@ public class MergeUtils {
*/
private static <T extends Oaf> T mergeOafFields(T merged, T enrich, int trust) {
//TODO: union of all values, but what does it mean with KeyValue pairs???
// TODO: union of all values, but what does it mean with KeyValue pairs???
merged.setCollectedfrom(mergeKeyValue(merged.getCollectedfrom(), enrich.getCollectedfrom(), trust));
merged.setDataInfo(chooseDataInfo(merged.getDataInfo(), enrich.getDataInfo(), trust));
merged.setLastupdatetimestamp(max(merged.getLastupdatetimestamp(), enrich.getLastupdatetimestamp()));
@ -263,17 +292,18 @@ public class MergeUtils {
// dateofcollection mettere today quando si fa merge
merged.setDateofcollection(chooseString(merged.getDateofcollection(), enrich.getDateofcollection(), trust));
// setDateoftransformation mettere vuota in dedup, nota per Claudio
merged.setDateoftransformation(chooseString(merged.getDateoftransformation(), enrich.getDateoftransformation(), trust));
merged
.setDateoftransformation(
chooseString(merged.getDateoftransformation(), enrich.getDateoftransformation(), trust));
// TODO: was missing in OafEntity.merge
merged.setExtraInfo(unionDistinctLists(merged.getExtraInfo(), enrich.getExtraInfo(), trust));
//oaiprovenanze da mettere a null quando si genera merge
// oaiprovenanze da mettere a null quando si genera merge
merged.setOaiprovenance(chooseReference(merged.getOaiprovenance(), enrich.getOaiprovenance(), trust));
merged.setMeasures(unionDistinctLists(merged.getMeasures(), enrich.getMeasures(), trust));
return merged;
}
public static <T extends Relation> T mergeRelation(T original, T enrich) {
int trust = compareTrust(original, enrich);
T merge = mergeOafFields(original, enrich, trust);
@ -285,9 +315,9 @@ public class MergeUtils {
Objects.equals(merge.getSubRelType(), enrich.getSubRelType()), "subRelType(s) must be equal");
checkArgument(Objects.equals(merge.getRelClass(), enrich.getRelClass()), "relClass(es) must be equal");
//merge.setProvenance(mergeLists(merge.getProvenance(), enrich.getProvenance()));
// merge.setProvenance(mergeLists(merge.getProvenance(), enrich.getProvenance()));
//TODO: trust ??
// TODO: trust ??
merge.setValidated(booleanOR(merge.getValidated(), enrich.getValidated()));
try {
merge.setValidationDate(ModelSupport.oldest(merge.getValidationDate(), enrich.getValidationDate()));
@ -309,7 +339,8 @@ public class MergeUtils {
final int trust = compareTrust(original, enrich);
T merge = mergeOafEntityFields(original, enrich, trust);
if (merge.getProcessingchargeamount() == null || StringUtils.isBlank(merge.getProcessingchargeamount().getValue())) {
if (merge.getProcessingchargeamount() == null
|| StringUtils.isBlank(merge.getProcessingchargeamount().getValue())) {
merge.setProcessingchargeamount(enrich.getProcessingchargeamount());
merge.setProcessingchargecurrency(enrich.getProcessingchargecurrency());
}
@ -324,11 +355,11 @@ public class MergeUtils {
merge.setLanguage(chooseReference(merge.getLanguage(), enrich.getLanguage(), trust));
// country lasicamo,o cosi' -> parentesi sul datainfo
merge.setCountry(unionDistinctLists(merge.getCountry(), enrich.getCountry(), trust));
//ok
// ok
merge.setSubject(unionDistinctLists(merge.getSubject(), enrich.getSubject(), trust));
// union per priority quindi vanno in append
merge.setTitle(unionTitle(merge.getTitle(), enrich.getTitle(), trust));
//ok
// ok
merge.setRelevantdate(unionDistinctLists(merge.getRelevantdate(), enrich.getRelevantdate(), trust));
// prima trust e poi longest list
merge.setDescription(longestLists(merge.getDescription(), enrich.getDescription()));
@ -350,6 +381,7 @@ public class MergeUtils {
// prima prendo l'higher trust, su questo prendo il valore migliore nelle istanze TODO
// trust maggiore ma a parita' di trust il piu' specifico (base del vocabolario)
// vedi note
// cannot use com.google.common.base.Objects.firstNonNull as it throws NPE when both terms are null
merge.setResourcetype(firstNonNull(merge.getResourcetype(), enrich.getResourcetype()));
// ok
@ -365,13 +397,20 @@ public class MergeUtils {
// TODO merge of datainfo given same id
merge.setContext(unionDistinctLists(merge.getContext(), enrich.getContext(), trust));
//ok
merge.setExternalReference(unionDistinctLists(merge.getExternalReference(), enrich.getExternalReference(), trust));
// ok
merge
.setExternalReference(
unionDistinctLists(merge.getExternalReference(), enrich.getExternalReference(), trust));
//instance enrichment or union
// instance enrichment or union
// review instance equals => add pid to comparision
if (!isAnEnrichment(merge) && !isAnEnrichment(enrich))
merge.setInstance(unionDistinctLists(merge.getInstance(), enrich.getInstance(), trust));
merge
.setInstance(
mergeLists(
merge.getInstance(), enrich.getInstance(), trust,
MergeUtils::instanceKeyExtractor,
MergeUtils::instanceMerger));
else {
final List<Instance> enrichmentInstances = isAnEnrichment(merge) ? merge.getInstance()
: enrich.getInstance();
@ -392,6 +431,125 @@ public class MergeUtils {
return merge;
}
private static String instanceKeyExtractor(Instance i) {
return String
.join(
"::",
kvKeyExtractor(i.getHostedby()),
kvKeyExtractor(i.getCollectedfrom()),
qualifierKeyExtractor(i.getAccessright()),
qualifierKeyExtractor(i.getInstancetype()),
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("::")))
.orElse(null));
}
private static Instance instanceMerger(Instance i1, Instance i2) {
Instance i = new Instance();
i.setHostedby(i1.getHostedby());
i.setCollectedfrom(i1.getCollectedfrom());
i.setAccessright(i1.getAccessright());
i.setInstancetype(i1.getInstancetype());
i.setPid(mergeLists(i1.getPid(), i2.getPid(), 0, MergeUtils::spKeyExtractor, (sp1, sp2) -> sp1));
i
.setAlternateIdentifier(
mergeLists(
i1.getAlternateIdentifier(), i2.getAlternateIdentifier(), 0, MergeUtils::spKeyExtractor,
(sp1, sp2) -> sp1));
i
.setRefereed(
Collections
.min(
Stream.of(i1.getRefereed(), i2.getRefereed()).collect(Collectors.toList()),
new RefereedComparator()));
i
.setInstanceTypeMapping(
mergeLists(
i1.getInstanceTypeMapping(), i2.getInstanceTypeMapping(), 0,
MergeUtils::instanceTypeMappingKeyExtractor, (itm1, itm2) -> itm1));
i.setFulltext(selectFulltext(i1.getFulltext(), i2.getFulltext()));
i.setDateofacceptance(selectOldestDate(i1.getDateofacceptance(), i2.getDateofacceptance()));
i.setLicense(firstNonNull(i1.getLicense(), i2.getLicense()));
i.setProcessingchargeamount(firstNonNull(i1.getProcessingchargeamount(), i2.getProcessingchargeamount()));
i.setProcessingchargecurrency(firstNonNull(i1.getProcessingchargecurrency(), i2.getProcessingchargecurrency()));
i
.setMeasures(
mergeLists(i1.getMeasures(), i2.getMeasures(), 0, MergeUtils::measureKeyExtractor, (m1, m2) -> m1));
i.setUrl(unionDistinctListOfString(i1.getUrl(), i2.getUrl()));
return i;
}
private static String measureKeyExtractor(Measure m) {
return String
.join(
"::",
m.getId(),
m
.getUnit()
.stream()
.map(KeyValue::getKey)
.collect(Collectors.joining("::")));
}
private static Field<String> selectOldestDate(Field<String> d1, Field<String> d2) {
return Stream
.of(d1, d2)
.filter(Objects::nonNull)
.min(
Comparator
.comparing(
f -> DateParserUtils
.parseDate(f.getValue())
.toInstant()
.atZone(ZoneId.systemDefault())
.toLocalDate()))
.orElse(d1);
}
private static String selectFulltext(String ft1, String ft2) {
if (StringUtils.endsWith(ft1, "pdf")) {
return ft1;
}
if (StringUtils.endsWith(ft2, "pdf")) {
return ft2;
}
return firstNonNull(ft1, ft2);
}
private static String instanceTypeMappingKeyExtractor(InstanceTypeMapping itm) {
return String
.join(
"::",
itm.getOriginalType(),
itm.getTypeCode(),
itm.getTypeLabel(),
itm.getVocabularyName());
}
private static String kvKeyExtractor(KeyValue kv) {
return Optional.ofNullable(kv).map(KeyValue::getKey).orElse(null);
}
private static String qualifierKeyExtractor(Qualifier q) {
return Optional.ofNullable(q).map(Qualifier::getClassid).orElse(null);
}
private static <T> T fieldKeyExtractor(Field<T> f) {
return Optional.ofNullable(f).map(Field::getValue).orElse(null);
}
private static String spKeyExtractor(StructuredProperty sp) {
return Optional
.ofNullable(sp)
.map(s -> Joiner.on("::").join(s, qualifierKeyExtractor(s.getQualifier())))
.orElse(null);
}
private static <T extends OtherResearchProduct> T mergeORP(T original, T enrich) {
int trust = compareTrust(original, enrich);
final T merge = mergeResult(original, enrich);
@ -410,7 +568,9 @@ public class MergeUtils {
merge.setDocumentationUrl(unionDistinctLists(merge.getDocumentationUrl(), enrich.getDocumentationUrl(), trust));
merge.setLicense(unionDistinctLists(merge.getLicense(), enrich.getLicense(), trust));
merge.setCodeRepositoryUrl(chooseReference(merge.getCodeRepositoryUrl(), enrich.getCodeRepositoryUrl(), trust));
merge.setProgrammingLanguage(chooseReference(merge.getProgrammingLanguage(), enrich.getProgrammingLanguage(), trust));
merge
.setProgrammingLanguage(
chooseReference(merge.getProgrammingLanguage(), enrich.getProgrammingLanguage(), trust));
return merge;
}
@ -423,8 +583,12 @@ public class MergeUtils {
merge.setDevice(chooseReference(merge.getDevice(), enrich.getDevice(), trust));
merge.setSize(chooseReference(merge.getSize(), enrich.getSize(), trust));
merge.setVersion(chooseReference(merge.getVersion(), enrich.getVersion(), trust));
merge.setLastmetadataupdate(chooseReference(merge.getLastmetadataupdate(), enrich.getLastmetadataupdate(), trust));
merge.setMetadataversionnumber(chooseReference(merge.getMetadataversionnumber(), enrich.getMetadataversionnumber(), trust));
merge
.setLastmetadataupdate(
chooseReference(merge.getLastmetadataupdate(), enrich.getLastmetadataupdate(), trust));
merge
.setMetadataversionnumber(
chooseReference(merge.getMetadataversionnumber(), enrich.getMetadataversionnumber(), trust));
merge.setGeolocation(unionDistinctLists(merge.getGeolocation(), enrich.getGeolocation(), trust));
return merge;
@ -445,16 +609,27 @@ public class MergeUtils {
merged.setLegalshortname(chooseReference(merged.getLegalshortname(), enrich.getLegalshortname(), trust));
merged.setLegalname(chooseReference(merged.getLegalname(), enrich.getLegalname(), trust));
merged.setAlternativeNames(unionDistinctLists(enrich.getAlternativeNames(), merged.getAlternativeNames(), trust));
merged
.setAlternativeNames(unionDistinctLists(enrich.getAlternativeNames(), merged.getAlternativeNames(), trust));
merged.setWebsiteurl(chooseReference(merged.getWebsiteurl(), enrich.getWebsiteurl(), trust));
merged.setLogourl(chooseReference(merged.getLogourl(), enrich.getLogourl(), trust));
merged.setEclegalbody(chooseReference(merged.getEclegalbody(), enrich.getEclegalbody(), trust));
merged.setEclegalperson(chooseReference(merged.getEclegalperson(), enrich.getEclegalperson(), trust));
merged.setEcnonprofit(chooseReference(merged.getEcnonprofit(), enrich.getEcnonprofit(), trust));
merged.setEcresearchorganization(chooseReference(merged.getEcresearchorganization(), enrich.getEcresearchorganization(), trust));
merged.setEchighereducation(chooseReference(merged.getEchighereducation(), enrich.getEchighereducation(), trust));
merged.setEcinternationalorganizationeurinterests(chooseReference(merged.getEcinternationalorganizationeurinterests(), enrich.getEcinternationalorganizationeurinterests(), trust));
merged.setEcinternationalorganization(chooseReference(merged.getEcinternationalorganization(), enrich.getEcinternationalorganization(), trust));
merged
.setEcresearchorganization(
chooseReference(merged.getEcresearchorganization(), enrich.getEcresearchorganization(), trust));
merged
.setEchighereducation(chooseReference(merged.getEchighereducation(), enrich.getEchighereducation(), trust));
merged
.setEcinternationalorganizationeurinterests(
chooseReference(
merged.getEcinternationalorganizationeurinterests(),
enrich.getEcinternationalorganizationeurinterests(), trust));
merged
.setEcinternationalorganization(
chooseReference(
merged.getEcinternationalorganization(), enrich.getEcinternationalorganization(), trust));
merged.setEcenterprise(chooseReference(merged.getEcenterprise(), enrich.getEcenterprise(), trust));
merged.setEcsmevalidated(chooseReference(merged.getEcsmevalidated(), enrich.getEcsmevalidated(), trust));
merged.setEcnutscode(chooseReference(merged.getEcnutscode(), enrich.getEcnutscode(), trust));
@ -477,7 +652,9 @@ public class MergeUtils {
merged.setKeywords(chooseReference(merged.getKeywords(), enrich.getKeywords(), trust));
merged.setDuration(chooseReference(merged.getDuration(), enrich.getDuration(), trust));
merged.setEcsc39(chooseReference(merged.getEcsc39(), enrich.getEcsc39(), trust));
merged.setOamandatepublications(chooseReference(merged.getOamandatepublications(), enrich.getOamandatepublications(), trust));
merged
.setOamandatepublications(
chooseReference(merged.getOamandatepublications(), enrich.getOamandatepublications(), trust));
merged.setEcarticle29_3(chooseReference(merged.getEcarticle29_3(), enrich.getEcarticle29_3(), trust));
merged.setSubjects(unionDistinctLists(merged.getSubjects(), enrich.getSubjects(), trust));
merged.setFundingtree(unionDistinctLists(merged.getFundingtree(), enrich.getFundingtree(), trust));
@ -492,7 +669,7 @@ public class MergeUtils {
merged.setSummary(chooseReference(merged.getSummary(), enrich.getSummary(), trust));
merged.setCurrency(chooseReference(merged.getCurrency(), enrich.getCurrency(), trust));
//missin in Project.merge
// missin in Project.merge
merged.setTotalcost(chooseReference(merged.getTotalcost(), enrich.getTotalcost(), trust));
merged.setFundedamount(chooseReference(merged.getFundedamount(), enrich.getFundedamount(), trust));
@ -502,12 +679,13 @@ public class MergeUtils {
merged.setH2020topicdescription(enrich.getH2020topicdescription());
}
merged.setH2020classification(unionDistinctLists(merged.getH2020classification(), enrich.getH2020classification(), trust));
merged
.setH2020classification(
unionDistinctLists(merged.getH2020classification(), enrich.getH2020classification(), trust));
return merged;
}
/**
* Longest lists list.
*
@ -679,12 +857,18 @@ public class MergeUtils {
merge.setInstanceTypeMapping(firstNonNull(merge.getInstanceTypeMapping(), enrichment.getInstanceTypeMapping()));
merge.setHostedby(firstNonNull(merge.getHostedby(), enrichment.getHostedby()));
merge.setUrl(unionDistinctLists(merge.getUrl(), enrichment.getUrl(), 0));
merge.setDistributionlocation(firstNonNull(merge.getDistributionlocation(), enrichment.getDistributionlocation()));
merge
.setDistributionlocation(
firstNonNull(merge.getDistributionlocation(), enrichment.getDistributionlocation()));
merge.setCollectedfrom(firstNonNull(merge.getCollectedfrom(), enrichment.getCollectedfrom()));
// pid and alternateId are used for matching
merge.setDateofacceptance(firstNonNull(merge.getDateofacceptance(), enrichment.getDateofacceptance()));
merge.setProcessingchargeamount(firstNonNull(merge.getProcessingchargeamount(), enrichment.getProcessingchargeamount()));
merge.setProcessingchargecurrency(firstNonNull(merge.getProcessingchargecurrency(), enrichment.getProcessingchargecurrency()));
merge
.setProcessingchargeamount(
firstNonNull(merge.getProcessingchargeamount(), enrichment.getProcessingchargeamount()));
merge
.setProcessingchargecurrency(
firstNonNull(merge.getProcessingchargecurrency(), enrichment.getProcessingchargecurrency()));
merge.setRefereed(firstNonNull(merge.getRefereed(), enrichment.getRefereed()));
merge.setMeasures(unionDistinctLists(merge.getMeasures(), enrichment.getMeasures(), 0));
merge.setFulltext(firstNonNull(merge.getFulltext(), enrichment.getFulltext()));

View File

@ -0,0 +1,27 @@
package eu.dnetlib.dhp.schema.oaf.utils;
public class ModelHardLimits {
private ModelHardLimits() {
}
public static final String LAYOUT = "index";
public static final String INTERPRETATION = "openaire";
public static final String SEPARATOR = "-";
public static final int MAX_EXTERNAL_ENTITIES = 50;
public static final int MAX_AUTHORS = 200;
public static final int MAX_AUTHOR_FULLNAME_LENGTH = 1000;
public static final int MAX_TITLE_LENGTH = 5000;
public static final int MAX_TITLES = 10;
public static final int MAX_ABSTRACTS = 10;
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 String getCollectionName(String format) {
return format + SEPARATOR + LAYOUT + SEPARATOR + INTERPRETATION;
}
}

View File

@ -0,0 +1,38 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import java.util.Comparator;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
public class OrganizationPidComparator implements Comparator<StructuredProperty> {
@Override
public int compare(StructuredProperty left, StructuredProperty right) {
PidType lClass = PidType.tryValueOf(left.getQualifier().getClassid());
PidType rClass = PidType.tryValueOf(right.getQualifier().getClassid());
if (lClass.equals(PidType.openorgs))
return -1;
if (rClass.equals(PidType.openorgs))
return 1;
if (lClass.equals(PidType.GRID))
return -1;
if (rClass.equals(PidType.GRID))
return 1;
if (lClass.equals(PidType.mag_id))
return -1;
if (rClass.equals(PidType.mag_id))
return 1;
if (lClass.equals(PidType.urn))
return -1;
if (rClass.equals(PidType.urn))
return 1;
return 0;
}
}

View File

@ -0,0 +1,8 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import java.util.HashMap;
import java.util.HashSet;
public class PidBlacklist extends HashMap<String, HashSet<String>> {
}

View File

@ -0,0 +1,40 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import java.io.IOException;
import java.util.HashSet;
import java.util.Optional;
import java.util.Set;
import org.apache.commons.io.IOUtils;
import com.fasterxml.jackson.databind.ObjectMapper;
public class PidBlacklistProvider {
private static final PidBlacklist blacklist;
static {
try {
String json = IOUtils.toString(IdentifierFactory.class.getResourceAsStream("pid_blacklist.json"));
blacklist = new ObjectMapper().readValue(json, PidBlacklist.class);
} catch (IOException e) {
throw new RuntimeException(e);
}
}
public static PidBlacklist getBlacklist() {
return blacklist;
}
public static Set<String> getBlacklist(String pidType) {
return Optional
.ofNullable(getBlacklist().get(pidType))
.orElse(new HashSet<>());
}
private PidBlacklistProvider() {
}
}

View File

@ -0,0 +1,48 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import java.util.Comparator;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Organization;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
public class PidComparator<T extends OafEntity> implements Comparator<StructuredProperty> {
private final T entity;
public PidComparator(T entity) {
this.entity = entity;
}
@Override
public int compare(StructuredProperty left, StructuredProperty right) {
if (left == null && right == null)
return 0;
if (left == null)
return 1;
if (right == null)
return -1;
if (ModelSupport.isSubClass(entity, Result.class)) {
return compareResultPids(left, right);
}
if (ModelSupport.isSubClass(entity, Organization.class)) {
return compareOrganizationtPids(left, right);
}
// Else (but unlikely), lexicographical ordering will do.
return left.getQualifier().getClassid().compareTo(right.getQualifier().getClassid());
}
private int compareResultPids(StructuredProperty left, StructuredProperty right) {
return new ResultPidComparator().compare(left, right);
}
private int compareOrganizationtPids(StructuredProperty left, StructuredProperty right) {
return new OrganizationPidComparator().compare(left, right);
}
}

View File

@ -0,0 +1,79 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import org.apache.commons.lang3.EnumUtils;
public enum PidType {
/**
* The DOI syntax shall be made up of a DOI prefix and a DOI suffix separated by a forward slash.
*
* There is no defined limit on the length of the DOI name, or of the DOI prefix or DOI suffix.
*
* The DOI name is case-insensitive and can incorporate any printable characters from the legal graphic characters
* of Unicode. Further constraints on character use (e.g. use of language-specific alphanumeric characters) can be
* defined for an application by the ISO 26324 Registration Authority.
*
*
* DOI prefix: The DOI prefix shall be composed of a directory indicator followed by a registrant code.
* These two components shall be separated by a full stop (period). The directory indicator shall be "10" and
* distinguishes the entire set of character strings (prefix and suffix) as digital object identifiers within the
* resolution system.
*
* Registrant code: The second element of the DOI prefix shall be the registrant code. The registrant code is a
* unique string assigned to a registrant.
*
* DOI suffix: The DOI suffix shall consist of a character string of any length chosen by the registrant.
* Each suffix shall be unique to the prefix element that precedes it. The unique suffix can be a sequential number,
* or it might incorporate an identifier generated from or based on another system used by the registrant
* (e.g. ISAN, ISBN, ISRC, ISSN, ISTC, ISNI; in such cases, a preferred construction for such a suffix can be
* specified, as in Example 1).
*
* Source: https://www.doi.org/doi_handbook/2_Numbering.html#2.2
*/
doi,
/**
* PubMed Unique Identifier (PMID)
*
* This field is a 1-to-8 digit accession number with no leading zeros. It is present on all records and is the
* accession number for managing and disseminating records. PMIDs are not reused after records are deleted.
*
* Beginning in February 2012 PMIDs include extensions following a decimal point to account for article versions
* (e.g., 21804956.2). All citations are considered version 1 until replaced. The extended PMID is not displayed
* on the MEDLINE format.
*
* View the citation in abstract format in PubMed to access additional versions when available (see the article in
* the Jan-Feb 2012 NLM Technical Bulletin).
*
* Source: https://www.nlm.nih.gov/bsd/mms/medlineelements.html#pmid
*/
pmid,
/**
* This field contains the unique identifier for the cited article in PubMed Central. The identifier begins with the
* prefix PMC.
*
* Source: https://www.nlm.nih.gov/bsd/mms/medlineelements.html#pmc
*/
pmc, handle, arXiv, nct, pdb, w3id,
// Organization
openorgs, ROR, GRID, PIC, ISNI, Wikidata, FundRef, corda, corda_h2020, mag_id, urn,
// Used by dedup
undefined, original;
public static boolean isValid(String type) {
return EnumUtils.isValidEnum(PidType.class, type);
}
public static PidType tryValueOf(String s) {
try {
return PidType.valueOf(s);
} catch (Exception e) {
return PidType.original;
}
}
}

View File

@ -0,0 +1,33 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import java.util.Comparator;
import java.util.Optional;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
public class PidValueComparator implements Comparator<StructuredProperty> {
@Override
public int compare(StructuredProperty left, StructuredProperty right) {
if (left == null && right == null)
return 0;
if (left == null)
return 1;
if (right == null)
return -1;
StructuredProperty l = CleaningFunctions.normalizePidValue(left);
StructuredProperty r = CleaningFunctions.normalizePidValue(right);
return Optional
.ofNullable(l.getValue())
.map(
lv -> Optional
.ofNullable(r.getValue())
.map(rv -> lv.compareTo(rv))
.orElse(-1))
.orElse(1);
}
}

View File

@ -0,0 +1,39 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import java.util.Comparator;
import eu.dnetlib.dhp.schema.oaf.Qualifier;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
/**
* Comparator for sorting the values from the dnet:review_levels vocabulary, implements the following ordering
*
* peerReviewed (0001) > nonPeerReviewed (0002) > UNKNOWN (0000)
*/
public class RefereedComparator implements Comparator<Qualifier> {
@Override
public int compare(Qualifier left, Qualifier right) {
String lClass = left.getClassid();
String rClass = right.getClassid();
if ("0001".equals(lClass))
return -1;
if ("0001".equals(rClass))
return 1;
if ("0002".equals(lClass))
return -1;
if ("0002".equals(rClass))
return 1;
if ("0000".equals(lClass))
return -1;
if ("0000".equals(rClass))
return 1;
return 0;
}
}

View File

@ -0,0 +1,53 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import java.util.Comparator;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
public class ResultPidComparator implements Comparator<StructuredProperty> {
@Override
public int compare(StructuredProperty left, StructuredProperty right) {
PidType lClass = PidType.tryValueOf(left.getQualifier().getClassid());
PidType rClass = PidType.tryValueOf(right.getQualifier().getClassid());
if (lClass.equals(PidType.doi))
return -1;
if (rClass.equals(PidType.doi))
return 1;
if (lClass.equals(PidType.pmid))
return -1;
if (rClass.equals(PidType.pmid))
return 1;
if (lClass.equals(PidType.pmc))
return -1;
if (rClass.equals(PidType.pmc))
return 1;
if (lClass.equals(PidType.handle))
return -1;
if (rClass.equals(PidType.handle))
return 1;
if (lClass.equals(PidType.arXiv))
return -1;
if (rClass.equals(PidType.arXiv))
return 1;
if (lClass.equals(PidType.nct))
return -1;
if (rClass.equals(PidType.nct))
return 1;
if (lClass.equals(PidType.pdb))
return -1;
if (rClass.equals(PidType.pdb))
return 1;
return 0;
}
}

View File

@ -0,0 +1,77 @@
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> {
@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;
}
String lClass = left.getResulttype().getClassid();
String rClass = right.getResulttype().getClassid();
if (lClass.equals(rClass))
return 0;
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<>());
}
}

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@ -0,0 +1,21 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import java.util.Set;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.Test;
class BlackListProviderTest {
@Test
void blackListTest() {
Assertions.assertNotNull(PidBlacklistProvider.getBlacklist());
Assertions.assertNotNull(PidBlacklistProvider.getBlacklist().get("doi"));
Assertions.assertTrue(PidBlacklistProvider.getBlacklist().get("doi").size() > 0);
final Set<String> xxx = PidBlacklistProvider.getBlacklist("xxx");
Assertions.assertNotNull(xxx);
Assertions.assertEquals(0, xxx.size());
}
}

View File

@ -0,0 +1,87 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertNotNull;
import java.io.IOException;
import org.apache.commons.io.IOUtils;
import org.junit.jupiter.api.Test;
import com.fasterxml.jackson.databind.DeserializationFeature;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.schema.oaf.Publication;
class IdentifierFactoryTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper()
.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
@Test
void testCreateIdentifierForPublication() throws IOException {
verifyIdentifier(
"publication_doi1.json", "50|doi_________::79dbc7a2a56dc1532659f9038843256e", true);
verifyIdentifier(
"publication_doi2.json", "50|doi_________::79dbc7a2a56dc1532659f9038843256e", true);
verifyIdentifier(
"publication_doi3.json", "50|pmc_________::94e4cb08c93f8733b48e2445d04002ac", true);
verifyIdentifier(
"publication_doi4.json", "50|od______2852::38861c44e6052a8d49f59a4c39ba5e66", true);
verifyIdentifier(
"publication_doi5.json", "50|doi_________::3bef95c0ca26dd55451fc8839ea69d27", true);
verifyIdentifier(
"publication_pmc1.json", "50|DansKnawCris::0829b5191605bdbea36d6502b8c1ce1f", true);
verifyIdentifier(
"publication_pmc2.json", "50|pmc_________::94e4cb08c93f8733b48e2445d04002ac", true);
verifyIdentifier(
"publication_openapc.json", "50|doi_________::79dbc7a2a56dc1532659f9038843256e", true);
final String defaultID = "50|DansKnawCris::0829b5191605bdbea36d6502b8c1ce1f";
verifyIdentifier("publication_3.json", defaultID, true);
verifyIdentifier("publication_4.json", defaultID, true);
verifyIdentifier("publication_5.json", defaultID, true);
}
@Test
void testCreateIdentifierForPublicationNoHash() throws IOException {
verifyIdentifier("publication_doi1.json", "50|doi_________::10.1016/j.cmet.2010.03.013", false);
verifyIdentifier("publication_doi2.json", "50|doi_________::10.1016/j.cmet.2010.03.013", false);
verifyIdentifier("publication_pmc1.json", "50|DansKnawCris::0829b5191605bdbea36d6502b8c1ce1f", false);
verifyIdentifier(
"publication_urn1.json", "50|DansKnawCris::0829b5191605bdbea36d6502b8c1ce1f", false);
final String defaultID = "50|DansKnawCris::0829b5191605bdbea36d6502b8c1ce1f";
verifyIdentifier("publication_3.json", defaultID, false);
verifyIdentifier("publication_4.json", defaultID, false);
verifyIdentifier("publication_5.json", defaultID, false);
}
@Test
void testCreateIdentifierForROHub() throws IOException {
verifyIdentifier(
"orp-rohub.json", "50|w3id________::afc7592914ae190a50570db90f55f9c2", true);
}
protected void verifyIdentifier(String filename, String expectedID, boolean md5) throws IOException {
final String json = IOUtils.toString(getClass().getResourceAsStream(filename));
final Publication pub = OBJECT_MAPPER.readValue(json, Publication.class);
String id = IdentifierFactory.createIdentifier(pub, md5);
System.out.println(id);
assertNotNull(id);
assertEquals(expectedID, id);
}
}

View File

@ -5,28 +5,47 @@ import static org.junit.jupiter.api.Assertions.*;
import static org.junit.jupiter.api.Assertions.assertEquals;
import java.io.IOException;
import java.lang.reflect.InvocationTargetException;
import java.util.HashSet;
import java.util.List;
import java.util.stream.Collectors;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import org.apache.commons.beanutils.BeanUtils;
import org.apache.commons.io.IOUtils;
import org.junit.jupiter.api.Test;
import com.fasterxml.jackson.databind.DeserializationFeature;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.google.common.collect.Lists;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Dataset;
import eu.dnetlib.dhp.schema.oaf.KeyValue;
import eu.dnetlib.dhp.schema.oaf.Publication;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
public class MergeUtilsTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper()
.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
@Test
void testMergePubs_new() throws IOException {
Publication pt = read("publication_test.json", Publication.class);
Publication p1 = read("publication_test.json", Publication.class);
assertEquals(1, pt.getCollectedfrom().size());
assertEquals(ModelConstants.CROSSREF_ID, pt.getCollectedfrom().get(0).getKey());
Instance i = new Instance();
i.setUrl(Lists.newArrayList("https://..."));
p1.getInstance().add(i);
Publication ptp1 = MergeUtils.mergePublication(pt, p1);
assertNotNull(ptp1.getInstance());
assertEquals(2, ptp1.getInstance().size());
}
@Test
void testMergePubs() throws IOException {
Publication p1 = read("publication_1.json", Publication.class);

View File

@ -178,8 +178,8 @@ class OafMapperUtilsTest {
assertEquals(
ModelConstants.DATASET_RESULTTYPE_CLASSID,
MergeUtils
.mergeResult(p2, d1)
((Result) MergeUtils
.merge(p2, d1))
.getResulttype()
.getClassid());
}

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@ -0,0 +1,12 @@
{"dataInfo":{"deletedbyinference":false,"inferred":true,"invisible":false,"provenanceaction":{"classid":"sysimport:enrich","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}},"id":"unresolved::10.0000/ra.v2i3.114::doi","instance":[{"measures":[{"id":"influence","unit":[{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"update","inferred":true,"invisible":false,"provenanceaction":{"classid":"measure:bip","classname":"Inferred by OpenAIRE","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":""},"key":"score","value":"5.91019644836e-09"}]},{"id":"popularity_alt","unit":[{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"update","inferred":true,"invisible":false,"provenanceaction":{"classid":"measure:bip","classname":"Inferred by OpenAIRE","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":""},"key":"score","value":"0.0"}]},{"id":"popularity","unit":[{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"update","inferred":true,"invisible":false,"provenanceaction":{"classid":"measure:bip","classname":"Inferred by OpenAIRE","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":""},"key":"score","value":"4.65008652949e-09"}]}],"pid":[{"qualifier":{"classid":"doi","classname":"Digital Object Identifier","schemeid":"dnet:pid_types","schemename":"dnet:pid_types"},"value":"10.0000/ra.v2i3.114"}]}]}
{"dataInfo":{"deletedbyinference":false,"inferred":true,"invisible":false,"provenanceaction":{"classid":"sysimport:enrich","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}},"id":"unresolved::10.0001/(aj).v3i6.458::doi","instance":[{"measures":[{"id":"influence","unit":[{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"update","inferred":true,"invisible":false,"provenanceaction":{"classid":"measure:bip","classname":"Inferred by OpenAIRE","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":""},"key":"score","value":"5.91019644836e-09"}]},{"id":"popularity_alt","unit":[{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"update","inferred":true,"invisible":false,"provenanceaction":{"classid":"measure:bip","classname":"Inferred by OpenAIRE","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":""},"key":"score","value":"0.0"}]},{"id":"popularity","unit":[{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"update","inferred":true,"invisible":false,"provenanceaction":{"classid":"measure:bip","classname":"Inferred by OpenAIRE","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":""},"key":"score","value":"4.01810569717e-09"}]}],"pid":[{"qualifier":{"classid":"doi","classname":"Digital Object Identifier","schemeid":"dnet:pid_types","schemename":"dnet:pid_types"},"value":"10.0001/(aj).v3i6.458"}]}]}
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{"id":"50|DansKnawCris::0829b5191605bdbea36d6502b8c1ce1f","pid":[]}

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{"id":"50|DansKnawCris::0829b5191605bdbea36d6502b8c1ce1f"}

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@ -0,0 +1,33 @@
{
"id": "50|DansKnawCris::0829b5191605bdbea36d6502b8c1ce1f",
"instance": [
{
"collectedfrom": {
"key": "10|openaire____::081b82f96300b6a6e3d282bad31cb6e2",
"value": "Crossref"
},
"pid": [
{
"qualifier": {"classid": "doi"},
"value": "10.1016/j.cmet.2010.03.013"
}
]
},
{
"pid": [
{
"qualifier": {"classid": "urn"},
"value": "urn:nbn:nl:ui:29-f3ed5f9e-edf6-457e-8848-61b58a4075e2"
},
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@ -1,14 +1,14 @@
package eu.dnetlib.dhp.actionmanager.promote;
import static eu.dnetlib.dhp.schema.common.ModelSupport.isSubClass;
import java.util.function.BiFunction;
import eu.dnetlib.dhp.common.FunctionalInterfaceSupport.SerializableSupplier;
import eu.dnetlib.dhp.schema.oaf.Oaf;
import eu.dnetlib.dhp.schema.oaf.utils.MergeUtils;
import java.util.function.BiFunction;
import static eu.dnetlib.dhp.schema.common.ModelSupport.isSubClass;
/** OAF model merging support. */
public class MergeAndGet {

View File

@ -8,6 +8,7 @@ import static org.mockito.Mockito.*;
import java.util.function.BiFunction;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Nested;
import org.junit.jupiter.api.Test;
@ -85,6 +86,7 @@ public class MergeAndGetTest {
}
@Test
@Disabled
void shouldBehaveProperlyForRelationAndRelation() {
// given
Relation a = mock(Relation.class);
@ -96,7 +98,9 @@ public class MergeAndGetTest {
// then
Oaf x = fn.get().apply(a, b);
assertTrue(Relation.class.isAssignableFrom(x.getClass()));
verify(a).mergeFrom(b);
// TODO should be reimplemented
// verify(a).mergeFrom(b);
assertEquals(a, x);
}
@ -145,6 +149,7 @@ public class MergeAndGetTest {
}
@Test
@Disabled
void shouldBehaveProperlyForOafEntityAndOafEntity() {
// given
OafEntity a = mock(OafEntity.class);
@ -156,7 +161,9 @@ public class MergeAndGetTest {
// then
Oaf x = fn.get().apply(a, b);
assertTrue(OafEntity.class.isAssignableFrom(x.getClass()));
verify(a).mergeFrom(b);
// TODO should be reimplemented
// verify(a).mergeFrom(b);
assertEquals(a, x);
}
}

View File

@ -64,6 +64,12 @@ public class PrepareAffiliationRelations implements Serializable {
final String pubmedInputPath = parser.get("pubmedInputPath");
log.info("pubmedInputPath: {}", pubmedInputPath);
final String openapcInputPath = parser.get("openapcInputPath");
log.info("openapcInputPath: {}", openapcInputPath);
final String dataciteInputPath = parser.get("dataciteInputPath");
log.info("dataciteInputPath: {}", dataciteInputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
@ -85,8 +91,20 @@ public class PrepareAffiliationRelations implements Serializable {
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, GzipCodec.class);

View File

@ -38,7 +38,6 @@ public class BipProjectModel {
return projectId;
}
// each project bip measure has exactly one value, hence one key-value pair
private Measure createMeasure(String measureId, String measureValue) {

View File

@ -75,6 +75,7 @@ public class GetFOSSparkJob implements Serializable {
fosData.map((MapFunction<Row, FOSDataModel>) r -> {
FOSDataModel fosDataModel = new FOSDataModel();
fosDataModel.setDoi(r.getString(0).toLowerCase());
fosDataModel.setOaid(r.getString(1).toLowerCase());
fosDataModel.setLevel1(r.getString(2));
fosDataModel.setLevel2(r.getString(3));
fosDataModel.setLevel3(r.getString(4));

View File

@ -16,12 +16,14 @@ 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.jetbrains.annotations.NotNull;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.FOSDataModel;
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;
@ -52,28 +54,46 @@ public class PrepareFOSSparkJob 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);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
if (distributeDOI)
distributeFOSdois(
spark,
sourcePath,
outputPath);
else
distributeFOSoaid(spark, sourcePath, outputPath);
});
}
private static void distributeFOSdois(SparkSession spark, String sourcePath, String outputPath) {
private static void distributeFOSoaid(SparkSession spark, String sourcePath, String outputPath) {
Dataset<FOSDataModel> fosDataset = readPath(spark, sourcePath, FOSDataModel.class);
fosDataset
.groupByKey((MapFunction<FOSDataModel, String>) v -> v.getDoi().toLowerCase(), Encoders.STRING())
.groupByKey((MapFunction<FOSDataModel, String>) v -> v.getOaid().toLowerCase(), Encoders.STRING())
.mapGroups((MapGroupsFunction<String, FOSDataModel, Result>) (k, it) -> {
return getResult(ModelSupport.getIdPrefix(Result.class) + "|" + k, it);
}, Encoders.bean(Result.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath + "/fos");
}
@NotNull
private static Result getResult(String k, Iterator<FOSDataModel> it) {
Result r = new Result();
FOSDataModel first = it.next();
r.setId(DHPUtils.generateUnresolvedIdentifier(k, DOI));
r.setId(k);
HashSet<String> level1 = new HashSet<>();
HashSet<String> level2 = new HashSet<>();
@ -107,7 +127,17 @@ public class PrepareFOSSparkJob implements Serializable {
ModelConstants.DNET_PROVENANCE_ACTIONS),
null));
return r;
}, Encoders.bean(Result.class))
}
private static void distributeFOSdois(SparkSession spark, String sourcePath, String outputPath) {
Dataset<FOSDataModel> fosDataset = readPath(spark, sourcePath, FOSDataModel.class);
fosDataset
.groupByKey((MapFunction<FOSDataModel, String>) v -> v.getDoi().toLowerCase(), Encoders.STRING())
.mapGroups(
(MapGroupsFunction<String, FOSDataModel, Result>) (k,
it) -> getResult(DHPUtils.generateUnresolvedIdentifier(k, DOI), it),
Encoders.bean(Result.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")

View File

@ -0,0 +1,92 @@
package eu.dnetlib.dhp.actionmanager.fosnodoi;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.IOException;
import java.io.Serializable;
import java.util.*;
import org.apache.commons.cli.ParseException;
import org.apache.commons.io.IOUtils;
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;
import org.slf4j.Logger;
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 {
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 -> 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

@ -22,12 +22,14 @@ import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.core.JsonProcessingException;
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.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.utils.*;
import eu.dnetlib.dhp.utils.DHPUtils;
@ -37,16 +39,12 @@ public class CreateActionSetSparkJob implements Serializable {
public static final String OPENCITATIONS_CLASSID = "sysimport:crosswalk:opencitations";
public static final String OPENCITATIONS_CLASSNAME = "Imported from OpenCitations";
// DOI-to-DOI citations
public static final String COCI = "COCI";
// PMID-to-PMID citations
public static final String POCI = "POCI";
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 TRUST = "0.91";
private static final Logger log = LoggerFactory.getLogger(CreateActionSetSparkJob.class);
@ -79,38 +77,30 @@ public class CreateActionSetSparkJob implements Serializable {
final String outputPath = parser.get("outputPath");
log.info("outputPath {}", outputPath);
final boolean shouldDuplicateRels = Optional
.ofNullable(parser.get("shouldDuplicateRels"))
.map(Boolean::valueOf)
.orElse(Boolean.FALSE);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> extractContent(spark, inputPath, outputPath, shouldDuplicateRels));
spark -> extractContent(spark, inputPath, outputPath));
}
private static void extractContent(SparkSession spark, String inputPath, String outputPath,
boolean shouldDuplicateRels) {
private static void extractContent(SparkSession spark, String inputPath, String outputPath) {
getTextTextJavaPairRDD(spark, inputPath, shouldDuplicateRels, COCI)
.union(getTextTextJavaPairRDD(spark, inputPath, shouldDuplicateRels, POCI))
getTextTextJavaPairRDD(spark, inputPath)
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
}
private static JavaPairRDD<Text, Text> getTextTextJavaPairRDD(SparkSession spark, String inputPath,
boolean shouldDuplicateRels, String prefix) {
private static JavaPairRDD<Text, Text> getTextTextJavaPairRDD(SparkSession spark, String inputPath) {
return spark
.read()
.textFile(inputPath + "/" + prefix + "/" + prefix + "_JSON/*")
.textFile(inputPath)
.map(
(MapFunction<String, COCI>) value -> OBJECT_MAPPER.readValue(value, COCI.class),
Encoders.bean(COCI.class))
.flatMap(
(FlatMapFunction<COCI, Relation>) value -> createRelation(
value, shouldDuplicateRels, prefix)
value)
.iterator(),
Encoders.bean(Relation.class))
.filter((FilterFunction<Relation>) Objects::nonNull)
@ -121,34 +111,68 @@ public class CreateActionSetSparkJob implements Serializable {
new Text(OBJECT_MAPPER.writeValueAsString(aa))));
}
private static List<Relation> createRelation(COCI value, boolean duplicate, String p) {
private static List<Relation> createRelation(COCI value) throws JsonProcessingException {
List<Relation> relationList = new ArrayList<>();
String prefix;
String citing;
String cited;
switch (p) {
case COCI:
prefix = DOI_PREFIX;
citing = prefix
switch (value.getCiting_pid()) {
case "doi":
citing = DOI_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.doi.toString(), value.getCiting()));
cited = prefix
break;
case "pmid":
citing = PMID_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.pmid.toString(), value.getCiting()));
break;
case "arxiv":
citing = ARXIV_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.arXiv.toString(), value.getCiting()));
break;
case "pmcid":
citing = PMCID_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.pmc.toString(), value.getCiting()));
break;
case "isbn":
case "issn":
return relationList;
default:
throw new IllegalStateException("Invalid prefix: " + new ObjectMapper().writeValueAsString(value));
}
switch (value.getCited_pid()) {
case "doi":
cited = DOI_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.doi.toString(), value.getCited()));
break;
case POCI:
prefix = PMID_PREFIX;
citing = prefix
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.pmid.toString(), value.getCiting()));
cited = prefix
case "pmid":
cited = PMID_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.pmid.toString(), value.getCited()));
break;
case "arxiv":
cited = ARXIV_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.arXiv.toString(), value.getCited()));
break;
case "pmcid":
cited = PMCID_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.pmc.toString(), value.getCited()));
break;
case "isbn":
case "issn":
return relationList;
default:
throw new IllegalStateException("Invalid prefix: " + p);
throw new IllegalStateException("Invalid prefix: " + new ObjectMapper().writeValueAsString(value));
}
if (!citing.equals(cited)) {
@ -157,15 +181,6 @@ public class CreateActionSetSparkJob implements Serializable {
getRelation(
citing,
cited, ModelConstants.CITES));
if (duplicate && value.getCiting().endsWith(".refs")) {
citing = prefix + IdentifierFactory
.md5(
CleaningFunctions
.normalizePidValue(
"doi", value.getCiting().substring(0, value.getCiting().indexOf(".refs"))));
relationList.add(getRelation(citing, cited, ModelConstants.CITES));
}
}
return relationList;

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@ -12,10 +12,7 @@ import java.util.zip.ZipInputStream;
import org.apache.commons.cli.ParseException;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.fs.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@ -37,17 +34,17 @@ public class GetOpenCitationsRefs implements Serializable {
parser.parseArgument(args);
final String[] inputFile = parser.get("inputFile").split(";");
log.info("inputFile {}", Arrays.asList(inputFile));
// final String[] inputFile = parser.get("inputFile").split(";");
// log.info("inputFile {}", Arrays.asList(inputFile));
final String workingPath = parser.get("workingPath");
log.info("workingPath {}", workingPath);
final String inputPath = parser.get("inputPath");
log.info("inputPath {}", inputPath);
final String hdfsNameNode = parser.get("hdfsNameNode");
log.info("hdfsNameNode {}", hdfsNameNode);
final String prefix = parser.get("prefix");
log.info("prefix {}", prefix);
final String outputPath = parser.get("outputPath");
log.info("outputPath {}", outputPath);
Configuration conf = new Configuration();
conf.set("fs.defaultFS", hdfsNameNode);
@ -56,20 +53,20 @@ public class GetOpenCitationsRefs implements Serializable {
GetOpenCitationsRefs ocr = new GetOpenCitationsRefs();
for (String file : inputFile) {
ocr.doExtract(workingPath + "/Original/" + file, workingPath, fileSystem, prefix);
}
ocr.doExtract(inputPath, outputPath, fileSystem);
}
private void doExtract(String inputFile, String workingPath, FileSystem fileSystem, String prefix)
private void doExtract(String inputPath, String outputPath, FileSystem fileSystem)
throws IOException {
final Path path = new Path(inputFile);
FSDataInputStream oc_zip = fileSystem.open(path);
// int count = 1;
RemoteIterator<LocatedFileStatus> fileStatusListIterator = fileSystem
.listFiles(
new Path(inputPath), true);
while (fileStatusListIterator.hasNext()) {
LocatedFileStatus fileStatus = fileStatusListIterator.next();
// do stuff with the file like ...
FSDataInputStream oc_zip = fileSystem.open(fileStatus.getPath());
try (ZipInputStream zis = new ZipInputStream(oc_zip)) {
ZipEntry entry = null;
while ((entry = zis.getNextEntry()) != null) {
@ -81,7 +78,7 @@ public class GetOpenCitationsRefs implements Serializable {
// count++;
try (
FSDataOutputStream out = fileSystem
.create(new Path(workingPath + "/" + prefix + "/" + fileName + ".gz"));
.create(new Path(outputPath + "/" + fileName + ".gz"));
GZIPOutputStream gzipOs = new GZIPOutputStream(new BufferedOutputStream(out))) {
IOUtils.copy(zis, gzipOs);
@ -92,6 +89,7 @@ public class GetOpenCitationsRefs implements Serializable {
}
}
}
}

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@ -0,0 +1,171 @@
package eu.dnetlib.dhp.actionmanager.opencitations;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.IOException;
import java.io.Serializable;
import java.util.Arrays;
import java.util.Objects;
import java.util.Optional;
import java.util.stream.Collectors;
import java.util.zip.ZipEntry;
import java.util.zip.ZipInputStream;
import org.apache.commons.cli.ParseException;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.ForeachFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.*;
import org.slf4j.Logger;
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 scala.Tuple2;
/**
* @author miriam.baglioni
* @Date 29/02/24
*/
public class MapOCIdsInPids implements Serializable {
private static final Logger log = LoggerFactory.getLogger(CreateActionSetSparkJob.class);
private static final String DELIMITER = ",";
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(
MapOCIdsInPids.class
.getResourceAsStream(
"/eu/dnetlib/dhp/actionmanager/opencitations/remap_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 nameNode = parser.get("nameNode");
log.info("nameNode {}", nameNode);
unzipCorrespondenceFile(inputPath, nameNode);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> mapIdentifiers(spark, inputPath, outputPath));
}
private static void unzipCorrespondenceFile(String inputPath, String hdfsNameNode) throws IOException {
Configuration conf = new Configuration();
conf.set("fs.defaultFS", hdfsNameNode);
final Path path = new Path(inputPath + "/correspondence/omid.zip");
FileSystem fileSystem = FileSystem.get(conf);
FSDataInputStream project_zip = fileSystem.open(path);
try (ZipInputStream zis = new ZipInputStream(project_zip)) {
ZipEntry entry = null;
while ((entry = zis.getNextEntry()) != null) {
if (!entry.isDirectory()) {
String fileName = entry.getName();
byte buffer[] = new byte[1024];
int count;
try (
FSDataOutputStream out = fileSystem
.create(new Path(inputPath + "/correspondence/omid.csv"))) {
while ((count = zis.read(buffer, 0, buffer.length)) != -1)
out.write(buffer, 0, count);
}
}
}
}
}
private static void mapIdentifiers(SparkSession spark, String inputPath, String outputPath) {
Dataset<COCI> coci = spark
.read()
.textFile(inputPath + "/JSON")
.map(
(MapFunction<String, COCI>) value -> OBJECT_MAPPER.readValue(value, COCI.class),
Encoders.bean(COCI.class));
Dataset<Tuple2<String, String>> correspondenceData = spark
.read()
.format("csv")
.option("sep", DELIMITER)
.option("inferSchema", "true")
.option("header", "true")
.option("quotes", "\"")
.load(inputPath + "/correspondence/omid.csv")
.repartition(5000)
.flatMap((FlatMapFunction<Row, Tuple2<String, String>>) r -> {
String ocIdentifier = r.getAs("omid");
String[] correspondentIdentifiers = ((String) r.getAs("id")).split(" ");
return Arrays
.stream(correspondentIdentifiers)
.map(ci -> new Tuple2<String, String>(ocIdentifier, ci))
.collect(Collectors.toList())
.iterator();
}, Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
Dataset<COCI> mappedCitingDataset = coci
.joinWith(correspondenceData, coci.col("citing").equalTo(correspondenceData.col("_1")))
.map((MapFunction<Tuple2<COCI, Tuple2<String, String>>, COCI>) t2 -> {
String correspondent = t2._2()._2();
t2._1().setCiting_pid(correspondent.substring(0, correspondent.indexOf(":")));
t2._1().setCiting(correspondent.substring(correspondent.indexOf(":") + 1));
return t2._1();
}, Encoders.bean(COCI.class));
mappedCitingDataset
.joinWith(correspondenceData, mappedCitingDataset.col("cited").equalTo(correspondenceData.col("_1")))
.map((MapFunction<Tuple2<COCI, Tuple2<String, String>>, COCI>) t2 -> {
String correspondent = t2._2()._2();
t2._1().setCited_pid(correspondent.substring(0, correspondent.indexOf(":")));
t2._1().setCited(correspondent.substring(correspondent.indexOf(":") + 1));
return t2._1();
}, Encoders.bean(COCI.class))
.write()
.mode(SaveMode.Append)
.option("compression", "gzip")
.json(outputPath);
}
}

View File

@ -12,11 +12,9 @@ import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.LocatedFileStatus;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.fs.RemoteIterator;
import org.apache.hadoop.fs.*;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.*;
import org.slf4j.Logger;
@ -42,19 +40,21 @@ public class ReadCOCI implements Serializable {
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final String[] inputFile = parser.get("inputFile").split(";");
log.info("inputFile {}", Arrays.asList(inputFile));
final String hdfsNameNode = parser.get("hdfsNameNode");
log.info("hdfsNameNode {}", hdfsNameNode);
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String workingPath = parser.get("workingPath");
final String workingPath = parser.get("inputPath");
log.info("workingPath {}", workingPath);
final String format = parser.get("format");
log.info("format {}", format);
SparkConf sconf = new SparkConf();
Configuration conf = new Configuration();
conf.set("fs.defaultFS", hdfsNameNode);
FileSystem fileSystem = FileSystem.get(conf);
final String delimiter = Optional
.ofNullable(parser.get("delimiter"))
.orElse(DEFAULT_DELIMITER);
@ -66,20 +66,21 @@ public class ReadCOCI implements Serializable {
doRead(
spark,
workingPath,
inputFile,
fileSystem,
outputPath,
delimiter,
format);
delimiter);
});
}
private static void doRead(SparkSession spark, String workingPath, String[] inputFiles,
private static void doRead(SparkSession spark, String workingPath, FileSystem fileSystem,
String outputPath,
String delimiter, String format) {
for (String inputFile : inputFiles) {
String pString = workingPath + "/" + inputFile + ".gz";
String delimiter) throws IOException {
RemoteIterator<LocatedFileStatus> fileStatusListIterator = fileSystem
.listFiles(
new Path(workingPath), true);
while (fileStatusListIterator.hasNext()) {
LocatedFileStatus fileStatus = fileStatusListIterator.next();
log.info("extracting file {}", fileStatus.getPath().toString());
Dataset<Row> cociData = spark
.read()
.format("csv")
@ -87,26 +88,26 @@ public class ReadCOCI implements Serializable {
.option("inferSchema", "true")
.option("header", "true")
.option("quotes", "\"")
.load(pString)
.load(fileStatus.getPath().toString())
.repartition(100);
cociData.map((MapFunction<Row, COCI>) row -> {
COCI coci = new COCI();
if (format.equals("COCI")) {
coci.setCiting(row.getString(1));
coci.setCited(row.getString(2));
} else {
coci.setCiting(String.valueOf(row.getInt(1)));
coci.setCited(String.valueOf(row.getInt(2)));
}
coci.setOci(row.getString(0));
return coci;
}, Encoders.bean(COCI.class))
.filter((FilterFunction<COCI>) c -> c != null)
.write()
.mode(SaveMode.Overwrite)
.mode(SaveMode.Append)
.option("compression", "gzip")
.json(outputPath + inputFile);
.json(outputPath);
fileSystem.rename(fileStatus.getPath(), new Path("/tmp/miriam/OC/DONE"));
}
}

View File

@ -9,8 +9,10 @@ public class COCI implements Serializable {
private String oci;
private String citing;
private String citing_pid;
private String cited;
private String cited_pid;
public String getOci() {
return oci;
@ -25,6 +27,8 @@ public class COCI implements Serializable {
}
public void setCiting(String citing) {
if (citing != null && citing.startsWith("omid:"))
citing = citing.substring(5);
this.citing = citing;
}
@ -33,7 +37,24 @@ public class COCI implements Serializable {
}
public void setCited(String cited) {
if (cited != null && cited.startsWith("omid:"))
cited = cited.substring(5);
this.cited = cited;
}
public String getCiting_pid() {
return citing_pid;
}
public void setCiting_pid(String citing_pid) {
this.citing_pid = citing_pid;
}
public String getCited_pid() {
return cited_pid;
}
public void setCited_pid(String cited_pid) {
this.cited_pid = cited_pid;
}
}

View File

@ -1,7 +1,26 @@
package eu.dnetlib.dhp.actionmanager.project;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.Arrays;
import java.util.Objects;
import java.util.Optional;
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.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.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.project.utils.model.CSVProgramme;
import eu.dnetlib.dhp.actionmanager.project.utils.model.CSVProject;
import eu.dnetlib.dhp.actionmanager.project.utils.model.JsonTopic;
@ -15,25 +34,8 @@ import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Project;
import eu.dnetlib.dhp.schema.oaf.utils.MergeUtils;
import eu.dnetlib.dhp.utils.DHPUtils;
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.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.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import scala.Tuple2;
import java.util.Arrays;
import java.util.Objects;
import java.util.Optional;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
/**
* Class that makes the ActionSet. To prepare the AS two joins are needed
*

View File

@ -0,0 +1,195 @@
package eu.dnetlib.dhp.actionmanager.transformativeagreement;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.IOException;
import java.io.Serializable;
import java.util.*;
import org.apache.commons.cli.ParseException;
import org.apache.commons.io.IOUtils;
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.JavaRDD;
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;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.transformativeagreement.model.TransformativeAgreementModel;
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.Country;
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 {
private static final Logger log = LoggerFactory.getLogger(CreateActionSetSparkJob.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static final String IREL_PROJECT = "40|100018998___::1e5e62235d094afd01cd56e65112fc63";
private static final String TRANSFORMATIVE_AGREEMENT = "openapc::transformativeagreement";
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/transformativeagreement/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);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> createActionSet(spark, inputPath, outputPath));
}
private static void createActionSet(SparkSession spark, String inputPath, String outputPath) {
JavaRDD<AtomicAction> relations = spark
.read()
.textFile(inputPath)
.map(
(MapFunction<String, TransformativeAgreementModel>) value -> OBJECT_MAPPER
.readValue(value, TransformativeAgreementModel.class),
Encoders.bean(TransformativeAgreementModel.class))
.flatMap(
(FlatMapFunction<TransformativeAgreementModel, Relation>) value -> createRelation(
value)
.iterator(),
Encoders.bean(Relation.class))
.filter((FilterFunction<Relation>) Objects::nonNull)
.toJavaRDD()
.map(p -> new AtomicAction(p.getClass(), p));
//TODO relations in stand-by waiting to know if we need to create them or not In case we need just make a union before saving the sequence file
spark
.read()
.textFile(inputPath)
.map(
(MapFunction<String, TransformativeAgreementModel>) value -> OBJECT_MAPPER
.readValue(value, TransformativeAgreementModel.class),
Encoders.bean(TransformativeAgreementModel.class))
.map(
(MapFunction<TransformativeAgreementModel, Result>) value -> createResult(
value),
Encoders.bean(Result.class))
.filter((FilterFunction<Result>) r -> r != null)
.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);
}
private static Result createResult(TransformativeAgreementModel value) {
Result r = new Result();
r
.setId(
"50|doi_________::"
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.doi.toString(), value.getDoi())));
r.setTransformativeAgreement(value.getAgreement());
Country country = new Country();
country.setClassid(value.getCountry());
country.setClassname(value.getCountry());
country
.setDataInfo(
OafMapperUtils
.dataInfo(
false, ModelConstants.SYSIMPORT_ACTIONSET, false, false,
OafMapperUtils
.qualifier(
"openapc::transformativeagreement",
"Harvested from Trnasformative Agreement file from OpenAPC",
ModelConstants.DNET_PROVENANCE_ACTIONS, ModelConstants.DNET_PROVENANCE_ACTIONS),
"0.9"));
country.setSchemeid(ModelConstants.DNET_COUNTRY_TYPE);
country.setSchemename(ModelConstants.DNET_COUNTRY_TYPE);
r.setCountry(Arrays.asList(country));
return r;
}
private static List<Relation> createRelation(TransformativeAgreementModel value) {
List<Relation> relationList = new ArrayList<>();
if (value.getAgreement().startsWith("IReL")) {
String paper;
paper = "50|doi_________::"
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.doi.toString(), value.getDoi()));
relationList
.add(
getRelation(
paper,
IREL_PROJECT, ModelConstants.IS_PRODUCED_BY));
relationList.add(getRelation(IREL_PROJECT, paper, ModelConstants.PRODUCES));
}
return relationList;
}
public static Relation getRelation(
String source,
String target,
String relClass) {
return OafMapperUtils
.getRelation(
source,
target,
ModelConstants.RESULT_PROJECT,
ModelConstants.OUTCOME,
relClass,
Arrays
.asList(
OafMapperUtils.keyValue(ModelConstants.OPEN_APC_ID, ModelConstants.OPEN_APC_NAME)),
OafMapperUtils
.dataInfo(
false, null, false, false,
OafMapperUtils
.qualifier(
TRANSFORMATIVE_AGREEMENT, "Transformative Agreement",
ModelConstants.DNET_PROVENANCE_ACTIONS, ModelConstants.DNET_PROVENANCE_ACTIONS),
"0.9"),
null);
}
}

View File

@ -0,0 +1,51 @@
package eu.dnetlib.dhp.actionmanager.transformativeagreement.model;
import java.io.Serializable;
import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
/**
* @author miriam.baglioni
* @Date 18/12/23
*/
@JsonIgnoreProperties(ignoreUnknown = true)
public class TransformativeAgreementModel implements Serializable {
private String institution;
private String doi;
private String agreement;
private String country;
public String getCountry() {
return country;
}
public void setCountry(String country) {
this.country = country;
}
public String getInstitution() {
return institution;
}
public void setInstitution(String institution) {
this.institution = institution;
}
public String getDoi() {
return doi;
}
public void setDoi(String doi) {
this.doi = doi;
}
public String getAgreement() {
return agreement;
}
public void setAgreement(String agreement) {
this.agreement = agreement;
}
}

View File

@ -5,6 +5,7 @@ import static eu.dnetlib.dhp.actionmanager.Constants.*;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Optional;
@ -13,7 +14,9 @@ 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.function.FilterFunction;
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;
@ -68,18 +71,59 @@ public class SparkAtomicActionUsageJob implements Serializable {
final String workingPath = parser.get("workingPath");
final String datasourcePath = parser.get("datasourcePath");
runWithSparkHiveSession(
conf,
isSparkSessionManaged,
spark -> {
removeOutputDir(spark, outputPath);
prepareData(dbname, spark, workingPath + "/usageDb", "usage_stats", "result_id");
prepareResultData(
dbname, spark, workingPath + "/usageDb",
"usage_stats",
"result_id",
"repository_id",
datasourcePath);
prepareData(dbname, spark, workingPath + "/projectDb", "project_stats", "id");
prepareData(dbname, spark, workingPath + "/datasourceDb", "datasource_stats", "repository_id");
writeActionSet(spark, workingPath, outputPath);
});
}
private static void prepareResultData(String dbname, SparkSession spark, String workingPath, String tableName,
String resultAttributeName, String datasourceAttributeName,
String datasourcePath) {
Dataset<UsageStatsResultModel> resultModel = spark
.sql(
String
.format(
"select %s as id, %s as datasourceId, sum(downloads) as downloads, sum(views) as views " +
"from %s.%s group by %s, %s",
resultAttributeName, datasourceAttributeName, dbname, tableName, resultAttributeName,
datasourceAttributeName))
.as(Encoders.bean(UsageStatsResultModel.class));
Dataset<Datasource> datasource = readPath(spark, datasourcePath, Datasource.class)
.filter((FilterFunction<Datasource>) d -> !d.getDataInfo().getDeletedbyinference())
.map((MapFunction<Datasource, Datasource>) d -> {
d.setId(d.getId().substring(3));
return d;
}, Encoders.bean(Datasource.class));
resultModel
.joinWith(datasource, resultModel.col("datasourceId").equalTo(datasource.col("id")), "left")
.map((MapFunction<Tuple2<UsageStatsResultModel, Datasource>, UsageStatsResultModel>) t2 -> {
UsageStatsResultModel usrm = t2._1();
if(Optional.ofNullable(t2._2()).isPresent())
usrm.setDatasourceId(usrm.getDatasourceId() + "||" + t2._2().getOfficialname().getValue());
else
usrm.setDatasourceId(usrm.getDatasourceId() + "||NO_MATCH_FOUND");
return usrm;
}, Encoders.bean(UsageStatsResultModel.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingPath);
}
private static void prepareData(String dbname, SparkSession spark, String workingPath, String tableName,
String attribute_name) {
spark
@ -115,15 +159,62 @@ public class SparkAtomicActionUsageJob implements Serializable {
}
public static Measure newMeasureInstance(String id) {
Measure m = new Measure();
m.setId(id);
m.setUnit(new ArrayList<>());
return m;
}
private static Dataset<Result> getFinalIndicatorsResult(SparkSession spark, String inputPath) {
return readPath(spark, inputPath, UsageStatsModel.class)
.map((MapFunction<UsageStatsModel, Result>) usm -> {
return readPath(spark, inputPath, UsageStatsResultModel.class)
.groupByKey((MapFunction<UsageStatsResultModel, String>) usm -> usm.getId(), Encoders.STRING())
.mapGroups((MapGroupsFunction<String, UsageStatsResultModel, Result>) (k, it) -> {
Result r = new Result();
r.setId("50|" + usm.getId());
r.setMeasures(getMeasure(usm.getDownloads(), usm.getViews()));
r.setId("50|" + k);
// id = download or view and unit = list of key value pairs
Measure download = newMeasureInstance("downloads");
Measure view = newMeasureInstance("views");
UsageStatsResultModel first = it.next();
addCountForDatasource(download, first, view);
it.forEachRemaining(usm -> {
addCountForDatasource(download, usm, view);
});
r.setMeasures(Arrays.asList(download, view));
return r;
}, Encoders.bean(Result.class));
}, Encoders.bean(Result.class))
// .map((MapFunction<UsageStatsResultModel, Result>) usm -> {
// Result r = new Result();
// r.setId("50|" + usm.getId());
// r.setMeasures(getMeasure(usm.getDownloads(), usm.getViews()));
// return r;
// }, Encoders.bean(Result.class));
;
}
private static void addCountForDatasource(Measure download, UsageStatsResultModel usm, Measure view) {
DataInfo dataInfo = OafMapperUtils
.dataInfo(
false,
UPDATE_DATA_INFO_TYPE,
true,
false,
OafMapperUtils
.qualifier(
UPDATE_MEASURE_USAGE_COUNTS_CLASS_ID,
UPDATE_CLASS_NAME,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
"");
download
.getUnit()
.add(
OafMapperUtils
.newKeyValueInstance(usm.getDatasourceId(), String.valueOf(usm.getDownloads()), dataInfo));
view
.getUnit()
.add(OafMapperUtils.newKeyValueInstance(usm.getDatasourceId(), String.valueOf(usm.getViews()), dataInfo));
}
private static Dataset<Project> getFinalIndicatorsProject(SparkSession spark, String inputPath) {

View File

@ -0,0 +1,18 @@
package eu.dnetlib.dhp.actionmanager.usagestats;
/**
* @author miriam.baglioni
* @Date 30/06/23
*/
public class UsageStatsResultModel extends UsageStatsModel {
private String datasourceId;
public String getDatasourceId() {
return datasourceId;
}
public void setDatasourceId(String datasourceId) {
this.datasourceId = datasourceId;
}
}

View File

@ -48,7 +48,7 @@ public class XSLTTransformationFunction implements MapFunction<MetadataRecord, M
@Override
public MetadataRecord call(MetadataRecord value) {
aggregationCounter.getTotalItems().add(1);
try {
Processor processor = new Processor(false);
processor.registerExtensionFunction(cleanFunction);
@ -60,11 +60,18 @@ public class XSLTTransformationFunction implements MapFunction<MetadataRecord, M
comp.setParameter(datasourceIDParam, new XdmAtomicValue(value.getProvenance().getDatasourceId()));
QName datasourceNameParam = new QName(DATASOURCE_NAME_PARAM);
comp.setParameter(datasourceNameParam, new XdmAtomicValue(value.getProvenance().getDatasourceName()));
XsltExecutable xslt = comp
XsltExecutable xslt;
XdmNode source;
try {
xslt = comp
.compile(new StreamSource(IOUtils.toInputStream(transformationRule, StandardCharsets.UTF_8)));
XdmNode source = processor
source = processor
.newDocumentBuilder()
.build(new StreamSource(IOUtils.toInputStream(value.getBody(), StandardCharsets.UTF_8)));
} catch (Throwable e) {
throw new RuntimeException("Error on parsing xslt", e);
}
try {
XsltTransformer trans = xslt.load();
trans.setInitialContextNode(source);
final StringWriter output = new StringWriter();

View File

@ -17,6 +17,18 @@
"paramDescription": "the path to get the input data from Pubmed",
"paramRequired": true
},
{
"paramName": "oip",
"paramLongName": "openapcInputPath",
"paramDescription": "the path to get the input data from OpenAPC",
"paramRequired": true
},
{
"paramName": "dip",
"paramLongName": "dataciteInputPath",
"paramDescription": "the path to get the input data from Datacite",
"paramRequired": true
},
{
"paramName": "o",
"paramLongName": "outputPath",

View File

@ -31,6 +31,9 @@ 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/data.json
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
outputPath=/tmp/crossref-affiliations-output-v5

View File

@ -9,6 +9,14 @@
<name>pubmedInputPath</name>
<description>the path where to find the inferred affiliation relations from Pubmed</description>
</property>
<property>
<name>openapcInputPath</name>
<description>the path where to find the inferred affiliation relations from OpenAPC</description>
</property>
<property>
<name>dataciteInputPath</name>
<description>the path where to find the inferred affiliation relations from Datacite</description>
</property>
<property>
<name>outputPath</name>
<description>the path where to store the actionset</description>
@ -102,6 +110,9 @@
</spark-opts>
<arg>--crossrefInputPath</arg><arg>${crossrefInputPath}</arg>
<arg>--pubmedInputPath</arg><arg>${pubmedInputPath}</arg>
<arg>--openapcInputPath</arg><arg>${openapcInputPath}</arg>
<arg>--dataciteInputPath</arg><arg>${dataciteInputPath}</arg>
<arg>--outputPath</arg><arg>${outputPath}</arg>
</spark>
<ok to="End"/>

View File

@ -16,5 +16,10 @@
"paramLongName": "outputPath",
"paramDescription": "the path of the new ActionSet",
"paramRequired": true
}
}, {
"paramName": "fd",
"paramLongName": "distributeDoi",
"paramDescription": "the path of the new ActionSet",
"paramRequired": false
}
]

View File

@ -0,0 +1,20 @@
[
{
"paramName": "sp",
"paramLongName": "sourcePath",
"paramDescription": "the zipped opencitations file",
"paramRequired": true
},
{
"paramName": "op",
"paramLongName": "outputPath",
"paramDescription": "the working path",
"paramRequired": true
},
{
"paramName": "issm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "the hdfs name node",
"paramRequired": false
}
]

View File

@ -0,0 +1,30 @@
<configuration>
<property>
<name>jobTracker</name>
<value>yarnRM</value>
</property>
<property>
<name>nameNode</name>
<value>hdfs://nameservice1</value>
</property>
<property>
<name>oozie.use.system.libpath</name>
<value>true</value>
</property>
<property>
<name>hiveMetastoreUris</name>
<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
</property>
<property>
<name>hiveJdbcUrl</name>
<value>jdbc:hive2://iis-cdh5-test-m3.ocean.icm.edu.pl:10000</value>
</property>
<property>
<name>hiveDbName</name>
<value>openaire</value>
</property>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>

View File

@ -0,0 +1,153 @@
<workflow-app name="FOS no doi" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>fosPath</name>
<description>the input path of the resources to be extended</description>
</property>
<property>
<name>outputPath</name>
<description>the path where to store the actionset</description>
</property>
<property>
<name>sparkDriverMemory</name>
<description>memory for driver process</description>
</property>
<property>
<name>sparkExecutorMemory</name>
<description>memory for individual executor</description>
</property>
<property>
<name>sparkExecutorCores</name>
<description>number of cores used by single executor</description>
</property>
<property>
<name>oozieActionShareLibForSpark2</name>
<description>oozie action sharelib for spark 2.*</description>
</property>
<property>
<name>spark2ExtraListeners</name>
<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
<description>spark 2.* extra listeners classname</description>
</property>
<property>
<name>spark2SqlQueryExecutionListeners</name>
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
<description>spark 2.* sql query execution listeners classname</description>
</property>
<property>
<name>spark2YarnHistoryServerAddress</name>
<description>spark 2.* yarn history server address</description>
</property>
<property>
<name>spark2EventLogDir</name>
<description>spark 2.* event log dir location</description>
</property>
</parameters>
<global>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>mapreduce.job.queuename</name>
<value>${queueName}</value>
</property>
<property>
<name>oozie.launcher.mapred.job.queue.name</name>
<value>${oozieLauncherQueueName}</value>
</property>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>${oozieActionShareLibForSpark2}</value>
</property>
</configuration>
</global>
<start to="getFOS"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="getFOS">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Gets Data from FOS csv file</name>
<class>eu.dnetlib.dhp.actionmanager.createunresolvedentities.GetFOSSparkJob</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${fosPath}</arg>
<arg>--outputPath</arg><arg>${workingDir}/input/fos</arg>
<arg>--delimiter</arg><arg>${delimiter}</arg>
</spark>
<ok to="prepareFos"/>
<error to="Kill"/>
</action>
<action name="prepareFos">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Produces the results from FOS</name>
<class>eu.dnetlib.dhp.actionmanager.createunresolvedentities.PrepareFOSSparkJob</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/input/fos</arg>
<arg>--outputPath</arg><arg>${workingDir}/prepared</arg>
<arg>--distributeDoi</arg><arg>false</arg>
</spark>
<ok to="produceActionSet"/>
<error to="Kill"/>
</action>
<action name="produceActionSet">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Save the action set grouping results with the same id</name>
<class>eu.dnetlib.dhp.actionmanager.fosnodoi.CreateActionSetSparkJob</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/prepared/fos</arg>
<arg>--outputPath</arg><arg>${outputPath}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

View File

@ -1,13 +1,13 @@
[
{
"paramName": "if",
"paramLongName": "inputFile",
"paramName": "ip",
"paramLongName": "inputPath",
"paramDescription": "the zipped opencitations file",
"paramRequired": true
},
{
"paramName": "wp",
"paramLongName": "workingPath",
"paramName": "op",
"paramLongName": "outputPath",
"paramDescription": "the working path",
"paramRequired": true
},
@ -16,11 +16,5 @@
"paramLongName": "hdfsNameNode",
"paramDescription": "the hdfs name node",
"paramRequired": true
},
{
"paramName": "p",
"paramLongName": "prefix",
"paramDescription": "COCI or POCI",
"paramRequired": true
}
]

View File

@ -1,7 +1,7 @@
[
{
"paramName": "wp",
"paramLongName": "workingPath",
"paramName": "ip",
"paramLongName": "inputPath",
"paramDescription": "the zipped opencitations file",
"paramRequired": true
},
@ -24,15 +24,9 @@
"paramLongName": "outputPath",
"paramDescription": "the hdfs name node",
"paramRequired": true
},
{
"paramName": "if",
"paramLongName": "inputFile",
"paramDescription": "the hdfs name node",
"paramRequired": true
}, {
"paramName": "f",
"paramLongName": "format",
"paramName": "nn",
"paramLongName": "hdfsNameNode",
"paramDescription": "the hdfs name node",
"paramRequired": true
}

View File

@ -27,7 +27,9 @@
<case to="download">${wf:conf('resumeFrom') eq 'DownloadDump'}</case>
<case to="extract">${wf:conf('resumeFrom') eq 'ExtractContent'}</case>
<case to="read">${wf:conf('resumeFrom') eq 'ReadContent'}</case>
<default to="create_actionset"/> <!-- first action to be done when downloadDump is to be performed -->
<case to="remap">${wf:conf('resumeFrom') eq 'MapContent'}</case>
<case to="create_actionset">${wf:conf('resumeFrom') eq 'CreateAS'}</case>
<default to="deleteoutputpath"/> <!-- first action to be done when downloadDump is to be performed -->
</switch>
</decision>
@ -35,6 +37,15 @@
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="deleteoutputpath">
<fs>
<delete path='${inputPath}'/>
<mkdir path='${inputPath}'/>
</fs>
<ok to="download"/>
<error to="Kill"/>
</action>
<action name="download">
<shell xmlns="uri:oozie:shell-action:0.2">
<job-tracker>${jobTracker}</job-tracker>
@ -47,7 +58,28 @@
</configuration>
<exec>download.sh</exec>
<argument>${filelist}</argument>
<argument>${workingPath}/${prefix}/Original</argument>
<argument>${inputPath}/Original</argument>
<env-var>HADOOP_USER_NAME=${wf:user()}</env-var>
<file>download.sh</file>
<capture-output/>
</shell>
<ok to="download_correspondence"/>
<error to="Kill"/>
</action>
<!-- downloads the correspondence from the omid and the pid (doi, pmid etc)-->
<action name="download_correspondence">
<shell xmlns="uri:oozie:shell-action:0.2">
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>mapred.job.queue.name</name>
<value>${queueName}</value>
</property>
</configuration>
<exec>download_corr.sh</exec>
<argument>${filecorrespondence}</argument>
<argument>${inputPath}/correspondence</argument>
<env-var>HADOOP_USER_NAME=${wf:user()}</env-var>
<file>download.sh</file>
<capture-output/>
@ -60,9 +92,19 @@
<java>
<main-class>eu.dnetlib.dhp.actionmanager.opencitations.GetOpenCitationsRefs</main-class>
<arg>--hdfsNameNode</arg><arg>${nameNode}</arg>
<arg>--inputFile</arg><arg>${inputFile}</arg>
<arg>--workingPath</arg><arg>${workingPath}/${prefix}</arg>
<arg>--prefix</arg><arg>${prefix}</arg>
<arg>--inputPath</arg><arg>${inputPath}/Original</arg>
<arg>--outputPath</arg><arg>${inputPath}/Extracted</arg>
</java>
<ok to="read"/>
<error to="Kill"/>
</action>
<action name="extract_correspondence">
<java>
<main-class>eu.dnetlib.dhp.actionmanager.opencitations.GetOpenCitationsRefs</main-class>
<arg>--hdfsNameNode</arg><arg>${nameNode}</arg>
<arg>--inputPath</arg><arg>${inputPath}/correspondence</arg>
<arg>--outputPath</arg><arg>${inputPath}/correspondence_extracted</arg>
</java>
<ok to="read"/>
<error to="Kill"/>
@ -85,11 +127,35 @@
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--workingPath</arg><arg>${workingPath}/${prefix}/${prefix}</arg>
<arg>--outputPath</arg><arg>${workingPath}/${prefix}/${prefix}_JSON/</arg>
<arg>--inputPath</arg><arg>${inputPath}/Extracted</arg>
<arg>--outputPath</arg><arg>${inputPath}/JSON</arg>
<arg>--delimiter</arg><arg>${delimiter}</arg>
<arg>--inputFile</arg><arg>${inputFileCoci}</arg>
<arg>--format</arg><arg>${prefix}</arg>
<arg>--hdfsNameNode</arg><arg>${nameNode}</arg>
</spark>
<ok to="remap"/>
<error to="Kill"/>
</action>
<action name="remap">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Produces the AS for OC</name>
<class>eu.dnetlib.dhp.actionmanager.opencitations.MapOCIdsInPids</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--inputPath</arg><arg>${inputPath}</arg>
<arg>--outputPath</arg><arg>${outputPathExtraction}</arg>
<arg>--nameNode</arg><arg>${nameNode}</arg>
</spark>
<ok to="create_actionset"/>
<error to="Kill"/>
@ -112,7 +178,7 @@
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--inputPath</arg><arg>${workingPath}</arg>
<arg>--inputPath</arg><arg>${outputPathExtraction}</arg>
<arg>--outputPath</arg><arg>${outputPath}</arg>
</spark>
<ok to="End"/>

View File

@ -0,0 +1,25 @@
[
{
"paramName": "ip",
"paramLongName": "inputPath",
"paramDescription": "the zipped opencitations file",
"paramRequired": true
},
{
"paramName": "op",
"paramLongName": "outputPath",
"paramDescription": "the working path",
"paramRequired": true
},
{
"paramName": "issm",
"paramLongName": "isSparkSessionManged",
"paramDescription": "the hdfs name node",
"paramRequired": false
},{
"paramName": "nn",
"paramLongName": "nameNode",
"paramDescription": "the hdfs name node",
"paramRequired": true
}
]

View File

@ -0,0 +1,20 @@
[
{
"paramName": "ip",
"paramLongName": "inputPath",
"paramDescription": "the zipped opencitations file",
"paramRequired": true
},
{
"paramName": "op",
"paramLongName": "outputPath",
"paramDescription": "the working path",
"paramRequired": true
},
{
"paramName": "issm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "the hdfs name node",
"paramRequired": false
}
]

View File

@ -0,0 +1,30 @@
[
{
"paramName": "issm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "the hdfs name node",
"paramRequired": false
},
{
"paramName": "d",
"paramLongName": "delimiter",
"paramDescription": "the hdfs name node",
"paramRequired": false
},
{
"paramName": "op",
"paramLongName": "outputPath",
"paramDescription": "the hdfs name node",
"paramRequired": true
},
{
"paramName": "if",
"paramLongName": "inputFile",
"paramDescription": "the hdfs name node",
"paramRequired": true
}
]

View File

@ -0,0 +1,58 @@
<configuration>
<property>
<name>jobTracker</name>
<value>yarnRM</value>
</property>
<property>
<name>nameNode</name>
<value>hdfs://nameservice1</value>
</property>
<property>
<name>oozie.use.system.libpath</name>
<value>true</value>
</property>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>spark2</value>
</property>
<property>
<name>hive_metastore_uris</name>
<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
</property>
<property>
<name>spark2YarnHistoryServerAddress</name>
<value>http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089</value>
</property>
<property>
<name>spark2ExtraListeners</name>
<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
</property>
<property>
<name>spark2SqlQueryExecutionListeners</name>
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
</property>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
<property>
<name>sparkExecutorNumber</name>
<value>4</value>
</property>
<property>
<name>spark2EventLogDir</name>
<value>/user/spark/spark2ApplicationHistory</value>
</property>
<property>
<name>sparkDriverMemory</name>
<value>15G</value>
</property>
<property>
<name>sparkExecutorMemory</name>
<value>6G</value>
</property>
<property>
<name>sparkExecutorCores</name>
<value>1</value>
</property>
</configuration>

View File

@ -0,0 +1,2 @@
#!/bin/bash
curl -L $1 | hdfs dfs -put - $2

View File

@ -0,0 +1,82 @@
<workflow-app name="Transfomative Agreement Integration" xmlns="uri:oozie:workflow:0.5">
<global>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>mapreduce.job.queuename</name>
<value>${queueName}</value>
</property>
<property>
<name>oozie.launcher.mapred.job.queue.name</name>
<value>${oozieLauncherQueueName}</value>
</property>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>${oozieActionShareLibForSpark2}</value>
</property>
</configuration>
</global>
<start to="resume_from"/>
<decision name="resume_from">
<switch>
<case to="download">${wf:conf('resumeFrom') eq 'DownloadDump'}</case>
<default to="create_actionset"/> <!-- first action to be done when downloadDump is to be performed -->
</switch>
</decision>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="download">
<shell xmlns="uri:oozie:shell-action:0.2">
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>mapred.job.queue.name</name>
<value>${queueName}</value>
</property>
</configuration>
<exec>download.sh</exec>
<argument>${inputFile}</argument>
<argument>${workingDir}/transformativeagreement/transformativeAgreement.json</argument>
<env-var>HADOOP_USER_NAME=${wf:user()}</env-var>
<file>download.sh</file>
<capture-output/>
</shell>
<ok to="create_actionset"/>
<error to="Kill"/>
</action>
<action name="create_actionset">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Produces the AS for the Transformative Agreement</name>
<class>eu.dnetlib.dhp.actionmanager.transformativeagreement.CreateActionSetSparkJob</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--inputPath</arg><arg>${workingDir}/transformativeagreement/</arg>
<arg>--outputPath</arg><arg>${outputPath}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

View File

@ -28,5 +28,11 @@
"paramLongName": "workingPath",
"paramDescription": "the workingPath where to save the content of the usage_stats table",
"paramRequired": true
},
{
"paramName": "dp",
"paramLongName": "datasourcePath",
"paramDescription": "the workingPath where to save the content of the usage_stats table",
"paramRequired": true
}
]

View File

@ -90,6 +90,7 @@
<arg>--outputPath</arg><arg>${outputPath}</arg>
<arg>--usagestatsdb</arg><arg>${usagestatsdb}</arg>
<arg>--workingPath</arg><arg>${workingDir}</arg>
<arg>--datasourcePath</arg><arg>${datasourcePath}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>

View File

@ -78,10 +78,6 @@ public class PrepareAffiliationRelationsTest {
.getResource("/eu/dnetlib/dhp/actionmanager/bipaffiliations/doi_to_ror.json")
.getPath();
String pubmedAffiliationRelationsPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/bipaffiliations/doi_to_ror.json")
.getPath();
String outputPath = workingDir.toString() + "/actionSet";
PrepareAffiliationRelations
@ -89,7 +85,9 @@ public class PrepareAffiliationRelationsTest {
new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(),
"-crossrefInputPath", crossrefAffiliationRelationPath,
"-pubmedInputPath", pubmedAffiliationRelationsPath,
"-pubmedInputPath", crossrefAffiliationRelationPath,
"-openapcInputPath", crossrefAffiliationRelationPath,
"-dataciteInputPath", crossrefAffiliationRelationPath,
"-outputPath", outputPath
});
@ -106,7 +104,7 @@ public class PrepareAffiliationRelationsTest {
// );
// }
// count the number of relations
assertEquals(40, tmp.count());
assertEquals(80, tmp.count());
Dataset<Relation> dataset = spark.createDataset(tmp.rdd(), Encoders.bean(Relation.class));
dataset.createOrReplaceTempView("result");
@ -117,7 +115,7 @@ public class PrepareAffiliationRelationsTest {
// verify that we have equal number of bi-directional relations
Assertions
.assertEquals(
20, execVerification
40, execVerification
.filter(
"relClass='" + ModelConstants.HAS_AUTHOR_INSTITUTION + "'")
.collectAsList()
@ -125,7 +123,7 @@ public class PrepareAffiliationRelationsTest {
Assertions
.assertEquals(
20, execVerification
40, execVerification
.filter(
"relClass='" + ModelConstants.IS_AUTHOR_INSTITUTION_OF + "'")
.collectAsList()

View File

@ -0,0 +1,104 @@
package eu.dnetlib.dhp.actionmanager.fosnodoi;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import org.apache.commons.io.FileUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.LocalFileSystem;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.GetFOSSparkJob;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.PrepareTest;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.ProduceTest;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.FOSDataModel;
/**
* @author miriam.baglioni
* @Date 13/02/23
*/
public class GetFosTest {
private static final Logger log = LoggerFactory.getLogger(ProduceTest.class);
private static Path workingDir;
private static SparkSession spark;
private static LocalFileSystem fs;
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files.createTempDirectory(PrepareTest.class.getSimpleName());
fs = FileSystem.getLocal(new Configuration());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(ProduceTest.class.getSimpleName());
conf.setMaster("local[*]");
conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false");
conf.set("spark.sql.warehouse.dir", workingDir.toString());
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession
.builder()
.appName(PrepareTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
@Disabled
void test3() throws Exception {
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/fosnodoi/fosnodoi.csv")
.getPath();
final String outputPath = workingDir.toString() + "/fos.json";
GetFOSSparkJob
.main(
new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", sourcePath,
"-outputPath", outputPath,
"-delimiter", ","
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<FOSDataModel> tmp = sc
.textFile(outputPath)
.map(item -> OBJECT_MAPPER.readValue(item, FOSDataModel.class));
tmp.foreach(t -> Assertions.assertTrue(t.getOaid() != null));
tmp.foreach(t -> Assertions.assertTrue(t.getLevel1() != null));
tmp.foreach(t -> Assertions.assertTrue(t.getLevel2() != null));
tmp.foreach(t -> Assertions.assertTrue(t.getLevel3() != null));
tmp.foreach(t -> System.out.println(new ObjectMapper().writeValueAsString(t)));
}
}

View File

@ -0,0 +1,99 @@
package eu.dnetlib.dhp.actionmanager.fosnodoi;
import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertTrue;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import org.apache.commons.io.FileUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.LocalFileSystem;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.PrepareFOSSparkJob;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.PrepareSDGSparkJob;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.ProduceTest;
import eu.dnetlib.dhp.schema.oaf.Result;
public class PrepareTest {
private static final Logger log = LoggerFactory.getLogger(ProduceTest.class);
private static Path workingDir;
private static SparkSession spark;
private static LocalFileSystem fs;
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files.createTempDirectory(PrepareTest.class.getSimpleName());
fs = FileSystem.getLocal(new Configuration());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(ProduceTest.class.getSimpleName());
conf.setMaster("local[*]");
conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false");
conf.set("spark.sql.warehouse.dir", workingDir.toString());
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession
.builder()
.appName(PrepareTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
void fosPrepareTest() throws Exception {
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/fosnodoi/fosnodoi.json")
.getPath();
PrepareFOSSparkJob
.main(
new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", sourcePath,
"-outputPath", workingDir.toString() + "/work",
"-distributeDoi", Boolean.FALSE.toString()
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Result> tmp = sc
.textFile(workingDir.toString() + "/work/fos")
.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
tmp.foreach(t -> System.out.println(new ObjectMapper().writeValueAsString(t)));
}
}

View File

@ -76,7 +76,7 @@ public class CreateOpenCitationsASTest {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
"/eu/dnetlib/dhp/actionmanager/opencitations/COCI/inputremap/jsonforas")
.getPath();
CreateActionSetSparkJob
@ -84,8 +84,6 @@ public class CreateOpenCitationsASTest {
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-shouldDuplicateRels",
Boolean.TRUE.toString(),
"-inputPath",
inputPath,
"-outputPath",
@ -99,9 +97,10 @@ public class CreateOpenCitationsASTest {
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
assertEquals(31, tmp.count());
Assertions.assertEquals(27, tmp.count());
tmp.foreach(r -> Assertions.assertEquals(1, r.getCollectedfrom().size()));
// tmp.foreach(r -> System.out.println(OBJECT_MAPPER.writeValueAsString(r)));
tmp.foreach(r -> System.out.println(OBJECT_MAPPER.writeValueAsString(r)));
}

View File

@ -0,0 +1,90 @@
package eu.dnetlib.dhp.actionmanager.opencitations;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import org.apache.commons.io.FileUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.LocalFileSystem;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.opencitations.model.COCI;
/**
* @author miriam.baglioni
* @Date 07/03/24
*/
public class RemapTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
private static final Logger log = LoggerFactory
.getLogger(RemapTest.class);
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files
.createTempDirectory(RemapTest.class.getSimpleName());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(RemapTest.class.getSimpleName());
conf.setMaster("local[*]");
conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false");
conf.set("spark.sql.warehouse.dir", workingDir.toString());
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession
.builder()
.appName(RemapTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
void testRemap() throws Exception {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/opencitations/COCI/inputremap")
.getPath();
MapOCIdsInPids
.main(
new String[] {
"-isSparkSessionManged",
Boolean.FALSE.toString(),
"-inputPath",
inputPath,
"-outputPath",
workingDir.toString() + "/out/",
"-nameNode", "input1;input2;input3;input4;input5"
});
}
}

View File

@ -0,0 +1,324 @@
package eu.dnetlib.dhp.actionmanager.transformativeagreement;
import static org.junit.jupiter.api.Assertions.assertEquals;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import org.apache.commons.io.FileUtils;
import org.apache.hadoop.io.Text;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.SparkSession;
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.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.opencitations.CreateActionSetSparkJob;
import eu.dnetlib.dhp.actionmanager.opencitations.CreateOpenCitationsASTest;
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.utils.CleaningFunctions;
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
/**
* @author miriam.baglioni
* @Date 13/02/24
*/
public class CreateTAActionSetTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
private static final Logger log = LoggerFactory
.getLogger(CreateOpenCitationsASTest.class);
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files
.createTempDirectory(CreateTAActionSetTest.class.getSimpleName());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(CreateTAActionSetTest.class.getSimpleName());
conf.setMaster("local[*]");
conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false");
conf.set("spark.sql.warehouse.dir", workingDir.toString());
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession
.builder()
.appName(CreateTAActionSetTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
void createActionSet() throws Exception {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/transformativeagreement/facts.json")
.getPath();
eu.dnetlib.dhp.actionmanager.transformativeagreement.CreateActionSetSparkJob
.main(
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputPath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet1"
});
}
@Test
void testNumberofRelations2() throws Exception {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
.getPath();
eu.dnetlib.dhp.actionmanager.opencitations.CreateActionSetSparkJob
.main(
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputPath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet2"
});
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Relation> tmp = sc
.sequenceFile(workingDir.toString() + "/actionSet2", Text.class, Text.class)
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
assertEquals(23, tmp.count());
// tmp.foreach(r -> System.out.println(OBJECT_MAPPER.writeValueAsString(r)));
}
@Test
void testRelationsCollectedFrom() throws Exception {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
.getPath();
eu.dnetlib.dhp.actionmanager.opencitations.CreateActionSetSparkJob
.main(
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputPath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet3"
});
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Relation> tmp = sc
.sequenceFile(workingDir.toString() + "/actionSet3", Text.class, Text.class)
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
tmp.foreach(r -> {
assertEquals(ModelConstants.OPENOCITATIONS_NAME, r.getCollectedfrom().get(0).getValue());
assertEquals(ModelConstants.OPENOCITATIONS_ID, r.getCollectedfrom().get(0).getKey());
});
}
@Test
void testRelationsDataInfo() throws Exception {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
.getPath();
eu.dnetlib.dhp.actionmanager.opencitations.CreateActionSetSparkJob
.main(
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputPath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet4"
});
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Relation> tmp = sc
.sequenceFile(workingDir.toString() + "/actionSet4", Text.class, Text.class)
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
tmp.foreach(r -> {
assertEquals(false, r.getDataInfo().getInferred());
assertEquals(false, r.getDataInfo().getDeletedbyinference());
assertEquals("0.91", r.getDataInfo().getTrust());
assertEquals(
eu.dnetlib.dhp.actionmanager.opencitations.CreateActionSetSparkJob.OPENCITATIONS_CLASSID,
r.getDataInfo().getProvenanceaction().getClassid());
assertEquals(
eu.dnetlib.dhp.actionmanager.opencitations.CreateActionSetSparkJob.OPENCITATIONS_CLASSNAME,
r.getDataInfo().getProvenanceaction().getClassname());
assertEquals(ModelConstants.DNET_PROVENANCE_ACTIONS, r.getDataInfo().getProvenanceaction().getSchemeid());
assertEquals(ModelConstants.DNET_PROVENANCE_ACTIONS, r.getDataInfo().getProvenanceaction().getSchemename());
});
}
@Test
void testRelationsSemantics() throws Exception {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
.getPath();
eu.dnetlib.dhp.actionmanager.opencitations.CreateActionSetSparkJob
.main(
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputPath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet5"
});
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Relation> tmp = sc
.sequenceFile(workingDir.toString() + "/actionSet5", Text.class, Text.class)
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
tmp.foreach(r -> {
assertEquals("citation", r.getSubRelType());
assertEquals("resultResult", r.getRelType());
});
assertEquals(23, tmp.filter(r -> r.getRelClass().equals("Cites")).count());
assertEquals(0, tmp.filter(r -> r.getRelClass().equals("IsCitedBy")).count());
}
@Test
void testRelationsSourceTargetPrefix() throws Exception {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
.getPath();
eu.dnetlib.dhp.actionmanager.opencitations.CreateActionSetSparkJob
.main(
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputPath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet6"
});
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Relation> tmp = sc
.sequenceFile(workingDir.toString() + "/actionSet6", Text.class, Text.class)
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
tmp.foreach(r -> {
assertEquals("50|doi_________::", r.getSource().substring(0, 17));
assertEquals("50|doi_________::", r.getTarget().substring(0, 17));
});
}
@Test
void testRelationsSourceTargetCouple() throws Exception {
final String doi1 = "50|doi_________::"
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1007/s10854-015-3684-x"));
final String doi2 = "50|doi_________::"
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1111/j.1551-2916.2008.02408.x"));
final String doi3 = "50|doi_________::"
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1007/s10854-014-2114-9"));
final String doi4 = "50|doi_________::"
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1016/j.ceramint.2013.09.069"));
final String doi5 = "50|doi_________::"
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1007/s10854-009-9913-4"));
final String doi6 = "50|doi_________::"
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1016/0038-1098(72)90370-5"));
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
.getPath();
CreateActionSetSparkJob
.main(
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputPath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet7"
});
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Relation> tmp = sc
.sequenceFile(workingDir.toString() + "/actionSet7", Text.class, Text.class)
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
JavaRDD<Relation> check = tmp.filter(r -> r.getSource().equals(doi1) || r.getTarget().equals(doi1));
assertEquals(5, check.count());
// check.foreach(r -> {
// if (r.getSource().equals(doi2) || r.getSource().equals(doi3) || r.getSource().equals(doi4) ||
// r.getSource().equals(doi5) || r.getSource().equals(doi6)) {
// assertEquals(ModelConstants.IS_CITED_BY, r.getRelClass());
// assertEquals(doi1, r.getTarget());
// }
// });
assertEquals(5, check.filter(r -> r.getSource().equals(doi1)).count());
check.filter(r -> r.getSource().equals(doi1)).foreach(r -> assertEquals(ModelConstants.CITES, r.getRelClass()));
}
}

View File

@ -24,6 +24,7 @@ import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.oaf.Measure;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Result;
@ -66,10 +67,380 @@ public class SparkAtomicActionCountJobTest {
spark.stop();
}
@Test
void testUsageStatsDb2() {
String usageScoresPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/usagestats/test2")
.getPath();
SparkAtomicActionUsageJob.writeActionSet(spark, usageScoresPath, workingDir.toString() + "/actionSet");
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<AtomicAction> tmp = sc
.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
.map(usm -> OBJECT_MAPPER.readValue(usm._2.getBytes(), AtomicAction.class));
// .map(aa -> (Result) aa.getPayload());
Assertions.assertEquals(7, tmp.filter(aa -> ((OafEntity) aa.getPayload()).getId().startsWith("50|")).count());
Assertions.assertEquals(9, tmp.filter(aa -> ((OafEntity) aa.getPayload()).getId().startsWith("10|")).count());
Assertions.assertEquals(9, tmp.filter(aa -> ((OafEntity) aa.getPayload()).getId().startsWith("40|")).count());
tmp.foreach(r -> Assertions.assertEquals(2, ((OafEntity) r.getPayload()).getMeasures().size()));
tmp
.foreach(
r -> ((OafEntity) r.getPayload())
.getMeasures()
.stream()
.forEach(
m -> m
.getUnit()
.stream()
.forEach(u -> Assertions.assertFalse(u.getDataInfo().getDeletedbyinference()))));
tmp
.foreach(
r -> ((OafEntity) r.getPayload())
.getMeasures()
.stream()
.forEach(
m -> m.getUnit().stream().forEach(u -> Assertions.assertTrue(u.getDataInfo().getInferred()))));
tmp
.foreach(
r -> ((OafEntity) r.getPayload())
.getMeasures()
.stream()
.forEach(
m -> m
.getUnit()
.stream()
.forEach(u -> Assertions.assertFalse(u.getDataInfo().getInvisible()))));
tmp
.foreach(
r -> ((OafEntity) r.getPayload())
.getMeasures()
.stream()
.forEach(
m -> m
.getUnit()
.stream()
.forEach(
u -> Assertions
.assertEquals(
"measure:usage_counts",
u.getDataInfo().getProvenanceaction().getClassid()))));
tmp
.foreach(
r -> ((OafEntity) r.getPayload())
.getMeasures()
.stream()
.forEach(
m -> m
.getUnit()
.stream()
.forEach(
u -> Assertions
.assertEquals(
"Inferred by OpenAIRE",
u.getDataInfo().getProvenanceaction().getClassname()))));
tmp
.filter(aa -> ((OafEntity) aa.getPayload()).getId().startsWith("40|"))
.foreach(
r -> ((OafEntity) r.getPayload())
.getMeasures()
.stream()
.forEach(
m -> m
.getUnit()
.stream()
.forEach(
u -> Assertions
.assertEquals(
"count",
u.getKey()))));
Assertions
.assertEquals(
1,
tmp
.filter(
r -> ((OafEntity) r.getPayload())
.getId()
.equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6"))
.count());
OafEntity entity = (OafEntity) tmp
.filter(
aa -> ((OafEntity) aa.getPayload()).getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6"))
.first()
.getPayload();
entity
.getMeasures()
.stream()
.forEach(
m -> Assertions.assertEquals(3, m.getUnit().size()));
Measure downloads = entity
.getMeasures()
.stream()
.filter(m -> m.getId().equals("downloads"))
.findFirst()
.get();
Assertions
.assertEquals(
String.valueOf(0),
downloads.getUnit().stream().filter(u -> u.getKey().equals("10|fake1")).findFirst().get().getValue());
Assertions
.assertEquals(
String.valueOf(0),
downloads.getUnit().stream().filter(u -> u.getKey().equals("10|fake2")).findFirst().get().getValue());
Assertions
.assertEquals(
String.valueOf(1),
downloads.getUnit().stream().filter(u -> u.getKey().equals("10|fake3")).findFirst().get().getValue());
Measure views = entity
.getMeasures()
.stream()
.filter(m -> m.getId().equals("views"))
.findFirst()
.get();
Assertions
.assertEquals(
String.valueOf(5),
views.getUnit().stream().filter(u -> u.getKey().equals("10|fake1")).findFirst().get().getValue());
Assertions
.assertEquals(
String.valueOf(1),
views.getUnit().stream().filter(u -> u.getKey().equals("10|fake2")).findFirst().get().getValue());
Assertions
.assertEquals(
String.valueOf(3),
views.getUnit().stream().filter(u -> u.getKey().equals("10|fake3")).findFirst().get().getValue());
tmp
.filter(aa -> ((OafEntity) aa.getPayload()).getId().startsWith("10|"))
.foreach(
r -> ((OafEntity) r.getPayload())
.getMeasures()
.stream()
.forEach(
m -> m
.getUnit()
.stream()
.forEach(
u -> Assertions
.assertEquals(
"count",
u.getKey()))));
Assertions
.assertEquals(
"0",
tmp
.map(r -> ((OafEntity) r.getPayload()))
.filter(r -> r.getId().equals("40|f1__________::53575dc69e9ace947e02d47ecd54a7a6"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("downloads"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"5",
tmp
.map(r -> ((OafEntity) r.getPayload()))
.filter(r -> r.getId().equals("40|f1__________::53575dc69e9ace947e02d47ecd54a7a6"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("views"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"0",
tmp
.map(r -> ((OafEntity) r.getPayload()))
.filter(r -> r.getId().equals("40|f11_________::17eda2ff77407538fbe5d3d719b9d1c0"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("downloads"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"1",
tmp
.map(r -> ((OafEntity) r.getPayload()))
.filter(r -> r.getId().equals("40|f11_________::17eda2ff77407538fbe5d3d719b9d1c0"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("views"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"2",
tmp
.map(r -> ((OafEntity) r.getPayload()))
.filter(r -> r.getId().equals("40|f12_________::3085e4c6e051378ca6157fe7f0430c1f"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("downloads"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"6",
tmp
.map(r -> ((OafEntity) r.getPayload()))
.filter(r -> r.getId().equals("40|f12_________::3085e4c6e051378ca6157fe7f0430c1f"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("views"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"0",
tmp
.map(r -> ((OafEntity) r.getPayload()))
.filter(r -> r.getId().equals("10|d1__________::53575dc69e9ace947e02d47ecd54a7a6"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("downloads"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"5",
tmp
.map(r -> ((OafEntity) r.getPayload()))
.filter(r -> r.getId().equals("10|d1__________::53575dc69e9ace947e02d47ecd54a7a6"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("views"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"0",
tmp
.map(r -> ((OafEntity) r.getPayload()))
.filter(r -> r.getId().equals("10|d11_________::17eda2ff77407538fbe5d3d719b9d1c0"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("downloads"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"1",
tmp
.map(r -> ((OafEntity) r.getPayload()))
.filter(r -> r.getId().equals("10|d11_________::17eda2ff77407538fbe5d3d719b9d1c0"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("views"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"2",
tmp
.map(r -> ((OafEntity) r.getPayload()))
.filter(r -> r.getId().equals("10|d12_________::3085e4c6e051378ca6157fe7f0430c1f"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("downloads"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"6",
tmp
.map(r -> ((OafEntity) r.getPayload()))
.filter(r -> r.getId().equals("10|d12_________::3085e4c6e051378ca6157fe7f0430c1f"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("views"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
}
@Test
void testMatch() {
String usageScoresPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/usagestats")
.getResource("/eu/dnetlib/dhp/actionmanager/usagestats/test1")
.getPath();
SparkAtomicActionUsageJob.writeActionSet(spark, usageScoresPath, workingDir.toString() + "/actionSet");
@ -144,6 +515,39 @@ public class SparkAtomicActionCountJobTest {
u.getDataInfo().getProvenanceaction().getClassname()))));
tmp
.filter(aa -> ((OafEntity) aa.getPayload()).getId().startsWith("40|"))
.foreach(
r -> ((OafEntity) r.getPayload())
.getMeasures()
.stream()
.forEach(
m -> m
.getUnit()
.stream()
.forEach(
u -> Assertions
.assertEquals(
"count",
u.getKey()))));
tmp
.filter(aa -> ((OafEntity) aa.getPayload()).getId().startsWith("50|"))
.foreach(
r -> ((OafEntity) r.getPayload())
.getMeasures()
.stream()
.forEach(
m -> m
.getUnit()
.stream()
.forEach(
u -> Assertions
.assertEquals(
"10|fake1",
u.getKey()))));
tmp
.filter(aa -> ((OafEntity) aa.getPayload()).getId().startsWith("10|"))
.foreach(
r -> ((OafEntity) r.getPayload())
.getMeasures()
@ -465,5 +869,4 @@ public class SparkAtomicActionCountJobTest {
.get(0)
.getValue());
}
}

View File

@ -3,6 +3,7 @@ package eu.dnetlib.dhp.transformation;
import static eu.dnetlib.dhp.common.Constants.MDSTORE_DATA_PATH;
import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertThrows;
import java.io.IOException;
import java.nio.file.Path;
@ -279,6 +280,19 @@ class TransformationJobTest extends AbstractVocabularyTest {
// TODO Create significant Assert
}
@Test
public void testInvalidXSLT() throws Exception {
final MetadataRecord mr = new MetadataRecord();
mr.setProvenance(new Provenance("openaire____::cnr_explora", "CNR ExploRA", "cnr_________"));
mr.setBody(IOUtils.toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/transform/input_cnr_explora.xml")));
// We Load the XSLT transformation Rule from the classpath
final XSLTTransformationFunction tr = loadTransformationRule("/eu/dnetlib/dhp/transform/invalid.xslt");
assertThrows(RuntimeException.class, () -> tr.call(mr));
}
private XSLTTransformationFunction loadTransformationRule(final String path) throws Exception {
final String trValue = IOUtils.toString(this.getClass().getResourceAsStream(path));
final LongAccumulator la = new LongAccumulator();

View File

@ -0,0 +1,19 @@
DOI,OAID,level1,level2,level3,level4,score_for_L3,score_for_L4
N/A,78975075580c::e680668c98366c9cd6349afc62486a7f,03 medical and health sciences,0301 basic medicine,030104 developmental biology,N/A,0.5,0.0
N/A,78975075580c::e680668c98366c9cd6349afc62486a7f,03 medical and health sciences,0303 health sciences,030304 developmental biology,N/A,0.5,0.0
N/A,od______2806::a1da9d2678b12969a9ab5f50b5e71d0a,05 social sciences,0501 psychology and cognitive sciences,050109 social psychology,05010904 Group processes/Collective identity,0.5589094161987305,0.5166763067245483
N/A,od______2806::a1da9d2678b12969a9ab5f50b5e71d0a,05 social sciences,0501 psychology and cognitive sciences,050105 experimental psychology,05010501 Emotion/Affective science,0.44109055399894714,0.4833236634731293
N/A,doajarticles::76535d77fd2a5fe9810aefafffb8ef6c,05 social sciences,0502 economics and business,050203 business & management,05020302 Supply chain management/Business terms,0.5459638833999634,0.5460261106491089
N/A,doajarticles::76535d77fd2a5fe9810aefafffb8ef6c,05 social sciences,0502 economics and business,050211 marketing,05021102 Services marketing/Retailing,0.4540362060070038,0.4539738595485687
N/A,od_______156::a3a0119c6d9d3a66943f8da042e97a5e,01 natural sciences,0105 earth and related environmental sciences,010504 meteorology & atmospheric sciences,01050407 Geomagnetism/Ionosphere,0.5131047964096069,0.4990350902080536
N/A,od_______156::a3a0119c6d9d3a66943f8da042e97a5e,01 natural sciences,0105 earth and related environmental sciences,010502 geochemistry & geophysics,01050203 Seismology/Seismology measurement,0.4868951737880707,0.500964879989624
N/A,od______2806::4b9a664dd6b8b04204cb613e7bc9c873,03 medical and health sciences,0302 clinical medicine,030220 oncology & carcinogenesis,03022002 Medical imaging/Medical physics,0.5068133473396301,0.10231181626910052
N/A,od______2806::4b9a664dd6b8b04204cb613e7bc9c873,03 medical and health sciences,0302 clinical medicine,030204 cardiovascular system & hematology,N/A,0.49318668246269226,0.0
N/A,od______3341::ef754de29464abf9bc9b99664630ce74,03 medical and health sciences,0302 clinical medicine,030220 oncology & carcinogenesis,03022012 Oncology/Infectious causes of cancer,0.5,0.5
N/A,od______3341::ef754de29464abf9bc9b99664630ce74,03 medical and health sciences,0302 clinical medicine,030220 oncology & carcinogenesis,03022012 Oncology/Infectious causes of cancer,0.5,0.5
N/A,od______3978::6704dcced0fe3dd6fbf985dc2507f61c,03 medical and health sciences,0302 clinical medicine,030217 neurology & neurosurgery,03021702 Aging-associated diseases/Cognitive disorders,0.5134317874908447,0.09614889098529535
N/A,od______3978::6704dcced0fe3dd6fbf985dc2507f61c,03 medical and health sciences,0301 basic medicine,030104 developmental biology,N/A,0.48656824231147766,0.0
N/A,dedup_wf_001::b77264819800b90c0328c4d17eea5c1a,02 engineering and technology,0209 industrial biotechnology,020901 industrial engineering & automation,02090105 Control theory/Advanced driver assistance systems,0.5178514122962952,0.5198937654495239
N/A,dedup_wf_001::b77264819800b90c0328c4d17eea5c1a,02 engineering and technology,"0202 electrical engineering, electronic engineering, information engineering",020201 artificial intelligence & image processing,02020108 Fuzzy logic/Artificial neural networks/Computational neuroscience,0.48214852809906006,0.4801062345504761
N/A,od______2806::a938609e9f36ada6629a1bcc50c88230,03 medical and health sciences,0302 clinical medicine,030217 neurology & neurosurgery,03021708 Neurotrauma/Stroke,0.5014800429344177,0.5109656453132629
N/A,od______2806::a938609e9f36ada6629a1bcc50c88230,02 engineering and technology,0206 medical engineering,020601 biomedical engineering,02060102 Medical terminology/Patient,0.4985199570655823,0.4890343248844147
1 DOI OAID level1 level2 level3 level4 score_for_L3 score_for_L4
2 N/A 78975075580c::e680668c98366c9cd6349afc62486a7f 03 medical and health sciences 0301 basic medicine 030104 developmental biology N/A 0.5 0.0
3 N/A 78975075580c::e680668c98366c9cd6349afc62486a7f 03 medical and health sciences 0303 health sciences 030304 developmental biology N/A 0.5 0.0
4 N/A od______2806::a1da9d2678b12969a9ab5f50b5e71d0a 05 social sciences 0501 psychology and cognitive sciences 050109 social psychology 05010904 Group processes/Collective identity 0.5589094161987305 0.5166763067245483
5 N/A od______2806::a1da9d2678b12969a9ab5f50b5e71d0a 05 social sciences 0501 psychology and cognitive sciences 050105 experimental psychology 05010501 Emotion/Affective science 0.44109055399894714 0.4833236634731293
6 N/A doajarticles::76535d77fd2a5fe9810aefafffb8ef6c 05 social sciences 0502 economics and business 050203 business & management 05020302 Supply chain management/Business terms 0.5459638833999634 0.5460261106491089
7 N/A doajarticles::76535d77fd2a5fe9810aefafffb8ef6c 05 social sciences 0502 economics and business 050211 marketing 05021102 Services marketing/Retailing 0.4540362060070038 0.4539738595485687
8 N/A od_______156::a3a0119c6d9d3a66943f8da042e97a5e 01 natural sciences 0105 earth and related environmental sciences 010504 meteorology & atmospheric sciences 01050407 Geomagnetism/Ionosphere 0.5131047964096069 0.4990350902080536
9 N/A od_______156::a3a0119c6d9d3a66943f8da042e97a5e 01 natural sciences 0105 earth and related environmental sciences 010502 geochemistry & geophysics 01050203 Seismology/Seismology measurement 0.4868951737880707 0.500964879989624
10 N/A od______2806::4b9a664dd6b8b04204cb613e7bc9c873 03 medical and health sciences 0302 clinical medicine 030220 oncology & carcinogenesis 03022002 Medical imaging/Medical physics 0.5068133473396301 0.10231181626910052
11 N/A od______2806::4b9a664dd6b8b04204cb613e7bc9c873 03 medical and health sciences 0302 clinical medicine 030204 cardiovascular system & hematology N/A 0.49318668246269226 0.0
12 N/A od______3341::ef754de29464abf9bc9b99664630ce74 03 medical and health sciences 0302 clinical medicine 030220 oncology & carcinogenesis 03022012 Oncology/Infectious causes of cancer 0.5 0.5
13 N/A od______3341::ef754de29464abf9bc9b99664630ce74 03 medical and health sciences 0302 clinical medicine 030220 oncology & carcinogenesis 03022012 Oncology/Infectious causes of cancer 0.5 0.5
14 N/A od______3978::6704dcced0fe3dd6fbf985dc2507f61c 03 medical and health sciences 0302 clinical medicine 030217 neurology & neurosurgery 03021702 Aging-associated diseases/Cognitive disorders 0.5134317874908447 0.09614889098529535
15 N/A od______3978::6704dcced0fe3dd6fbf985dc2507f61c 03 medical and health sciences 0301 basic medicine 030104 developmental biology N/A 0.48656824231147766 0.0
16 N/A dedup_wf_001::b77264819800b90c0328c4d17eea5c1a 02 engineering and technology 0209 industrial biotechnology 020901 industrial engineering & automation 02090105 Control theory/Advanced driver assistance systems 0.5178514122962952 0.5198937654495239
17 N/A dedup_wf_001::b77264819800b90c0328c4d17eea5c1a 02 engineering and technology 0202 electrical engineering, electronic engineering, information engineering 020201 artificial intelligence & image processing 02020108 Fuzzy logic/Artificial neural networks/Computational neuroscience 0.48214852809906006 0.4801062345504761
18 N/A od______2806::a938609e9f36ada6629a1bcc50c88230 03 medical and health sciences 0302 clinical medicine 030217 neurology & neurosurgery 03021708 Neurotrauma/Stroke 0.5014800429344177 0.5109656453132629
19 N/A od______2806::a938609e9f36ada6629a1bcc50c88230 02 engineering and technology 0206 medical engineering 020601 biomedical engineering 02060102 Medical terminology/Patient 0.4985199570655823 0.4890343248844147

View File

@ -0,0 +1,18 @@
{"doi":"n/a","oaid":"od______3341::ef754de29464abf9bc9b99664630ce74","level1":"03 medical and health sciences","level2":"0302 clinical medicine","level3":"030220 oncology & carcinogenesis","level4":"03022012 Oncology/Infectious causes of cancer","scoreL3":"0.5","scoreL4":"0.5"}
{"doi":"n/a","oaid":"78975075580c::e680668c98366c9cd6349afc62486a7f","level1":"03 medical and health sciences","level2":"0301 basic medicine","level3":"030104 developmental biology","level4":"N/A","scoreL3":"0.5","scoreL4":"0.0"}
{"doi":"n/a","oaid":"od______3341::ef754de29464abf9bc9b99664630ce74","level1":"03 medical and health sciences","level2":"0302 clinical medicine","level3":"030220 oncology & carcinogenesis","level4":"03022012 Oncology/Infectious causes of cancer","scoreL3":"0.5","scoreL4":"0.5"}
{"doi":"n/a","oaid":"78975075580c::e680668c98366c9cd6349afc62486a7f","level1":"03 medical and health sciences","level2":"0303 health sciences","level3":"030304 developmental biology","level4":"N/A","scoreL3":"0.5","scoreL4":"0.0"}
{"doi":"n/a","oaid":"od______3978::6704dcced0fe3dd6fbf985dc2507f61c","level1":"03 medical and health sciences","level2":"0302 clinical medicine","level3":"030217 neurology & neurosurgery","level4":"03021702 Aging-associated diseases/Cognitive disorders","scoreL3":"0.5134317874908447","scoreL4":"0.09614889098529535"}
{"doi":"n/a","oaid":"od______2806::a1da9d2678b12969a9ab5f50b5e71d0a","level1":"05 social sciences","level2":"0501 psychology and cognitive sciences","level3":"050109 social psychology","level4":"05010904 Group processes/Collective identity","scoreL3":"0.5589094161987305","scoreL4":"0.5166763067245483"}
{"doi":"n/a","oaid":"od______3978::6704dcced0fe3dd6fbf985dc2507f61c","level1":"03 medical and health sciences","level2":"0301 basic medicine","level3":"030104 developmental biology","level4":"N/A","scoreL3":"0.48656824231147766","scoreL4":"0.0"}
{"doi":"n/a","oaid":"od______2806::a1da9d2678b12969a9ab5f50b5e71d0a","level1":"05 social sciences","level2":"0501 psychology and cognitive sciences","level3":"050105 experimental psychology","level4":"05010501 Emotion/Affective science","scoreL3":"0.44109055399894714","scoreL4":"0.4833236634731293"}
{"doi":"n/a","oaid":"dedup_wf_001::b77264819800b90c0328c4d17eea5c1a","level1":"02 engineering and technology","level2":"0209 industrial biotechnology","level3":"020901 industrial engineering & automation","level4":"02090105 Control theory/Advanced driver assistance systems","scoreL3":"0.5178514122962952","scoreL4":"0.5198937654495239"}
{"doi":"n/a","oaid":"doajarticles::76535d77fd2a5fe9810aefafffb8ef6c","level1":"05 social sciences","level2":"0502 economics and business","level3":"050203 business & management","level4":"05020302 Supply chain management/Business terms","scoreL3":"0.5459638833999634","scoreL4":"0.5460261106491089"}
{"doi":"n/a","oaid":"doajarticles::76535d77fd2a5fe9810aefafffb8ef6c","level1":"05 social sciences","level2":"0502 economics and business","level3":"050211 marketing","level4":"05021102 Services marketing/Retailing","scoreL3":"0.4540362060070038","scoreL4":"0.4539738595485687"}
{"doi":"n/a","oaid":"dedup_wf_001::b77264819800b90c0328c4d17eea5c1a","level1":"02 engineering and technology","level2":"0202 electrical engineering, electronic engineering, information engineering","level3":"020201 artificial intelligence & image processing","level4":"02020108 Fuzzy logic/Artificial neural networks/Computational neuroscience","scoreL3":"0.48214852809906006","scoreL4":"0.4801062345504761"}
{"doi":"n/a","oaid":"od_______156::a3a0119c6d9d3a66943f8da042e97a5e","level1":"01 natural sciences","level2":"0105 earth and related environmental sciences","level3":"010504 meteorology & atmospheric sciences","level4":"01050407 Geomagnetism/Ionosphere","scoreL3":"0.5131047964096069","scoreL4":"0.4990350902080536"}
{"doi":"n/a","oaid":"od______2806::a938609e9f36ada6629a1bcc50c88230","level1":"03 medical and health sciences","level2":"0302 clinical medicine","level3":"030217 neurology & neurosurgery","level4":"03021708 Neurotrauma/Stroke","scoreL3":"0.5014800429344177","scoreL4":"0.5109656453132629"}
{"doi":"n/a","oaid":"od_______156::a3a0119c6d9d3a66943f8da042e97a5e","level1":"01 natural sciences","level2":"0105 earth and related environmental sciences","level3":"010502 geochemistry & geophysics","level4":"01050203 Seismology/Seismology measurement","scoreL3":"0.4868951737880707","scoreL4":"0.500964879989624"}
{"doi":"n/a","oaid":"od______2806::a938609e9f36ada6629a1bcc50c88230","level1":"02 engineering and technology","level2":"0206 medical engineering","level3":"020601 biomedical engineering","level4":"02060102 Medical terminology/Patient","scoreL3":"0.4985199570655823","scoreL4":"0.4890343248844147"}
{"doi":"n/a","oaid":"od______2806::4b9a664dd6b8b04204cb613e7bc9c873","level1":"03 medical and health sciences","level2":"0302 clinical medicine","level3":"030220 oncology & carcinogenesis","level4":"03022002 Medical imaging/Medical physics","scoreL3":"0.5068133473396301","scoreL4":"0.10231181626910052"}
{"doi":"n/a","oaid":"od______2806::4b9a664dd6b8b04204cb613e7bc9c873","level1":"03 medical and health sciences","level2":"0302 clinical medicine","level3":"030204 cardiovascular system & hematology","level4":"N/A","scoreL3":"0.49318668246269226","scoreL4":"0.0"}

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@ -0,0 +1,31 @@
{"cited":"br/061201599020", "citing":"br/06203041400","oci":"oci:06701327944-06504326071"}
{"cited":"br/061201599020","citing":"br/06502272390","oci":"oci:06502272390-061301355525"}
{"cited":"br/061201599020", "citing":"br/06120941789","oci":"oci:0670804699-067055659"}
{"cited":"br/06210273177","citing":"br/06203041400","oci":"oci:061502003994-062201281456"}
{"cited":"br/06210273177", "citing":"br/06502272390","oci":"oci:06502272390-0660806688"}
{"cited":"br/06210273177", "citing":"br/06120941789","oci":"oci:06502307119-0620223645"}
{"cited":"br/0660613430","citing":"br/06203041400","oci":"oci:061502004011-061902692285"}
{"cited":"br/0660613430", "citing":"br/06502272390","oci":"oci:0660549063-0610398792"}
{"cited":"br/0660613430", "citing":"br/06120941789","oci":"oci:06420189324-06301543046"}
{"cited":"br/062602732073","citing":"br/06203041400","oci":"oci:06380130275-061502004367"}
{"cited":"br/062602732073","citing":"br/06502272390","oci":"oci:062403449086-062501448395"}
{"cited":"br/062602732073","citing":"br/06120941789","oci":"oci:06420189328-061202007182"}
{"cited":"br/061103703697","citing":"br/06203041400","oci":"oci:062603906965-061701362658"}
{"cited":"br/061103703697", "citing":"br/06502272390","oci":"oci:0670294309-06104327031"}
{"cited":"br/061103703697","citing":"br/06120941789","oci":"oci:061702060228-061301712529"}
{"cited":"br/06230199640", "citing":"br/0670517081","oci":"oci:06901104174-06503692526"}
{"cited":"br/061703513967","citing":"br/061702310822","oci":"oci:061702310822-061703513967"}
{"cited":"br/062104002953","citing":"br/061702311472","oci":"oci:061702311472-062104002953"}
{"cited":"br/061101204417","citing":"br/062102701590","oci":"oci:062102701590-061101204417"}
{"cited":"br/062403787088","citing":"br/061401499173","oci":"oci:061401499173-062403787088"}
{"cited":"br/061203576338","citing":"br/06110279619","oci":"oci:06110279619-061203576338"}
{"cited":"br/061601962207","citing":"br/061502004018","oci":"oci:061502004018-061601962207"}
{"cited":"br/06101014588", "citing":"br/061502004027","oci":"oci:061502004027-06101014588"}
{"cited":"br/06704040804", "citing":"br/06220799044","oci":"oci:06220799044-06704040804"}
{"cited":"br/061401105151","citing":"br/061502004037","oci":"oci:061502004037-061401105151"}
{"cited":"br/0640821079", "citing":"br/061702311537","oci":"oci:061702311537-0640821079"}
{"cited":"br/06604165310", "citing":"br/062501970289","oci":"oci:062501970289-06604165310"}
{"cited":"br/061501351689","citing":"br/061203895786","oci":"oci:061203895786-061501351689"}
{"cited":"br/06202223692", "citing":"br/06110298832","oci":"oci:06110298832-06202223692"}
{"cited":"br/06104310727", "citing":"br/0660439086","oci":"oci:0660439086-06104310727"}
{"cited":"br/06150216214", "citing":"br/06340150329","oci":"oci:06340150329-06150216214"}

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@ -0,0 +1,48 @@
omid,id
br/061201599020,doi:10.1142/s0219887817501687
br/06203041400,doi:10.1111/j.1523-5378.2005.00327.x pmid:16104945
br/06210273177,doi:10.1090/qam/20394
br/06502272390,pmid:32235596 doi:10.3390/nano10040644
br/0660613430,doi:10.1007/bf00470411
br/06120941789,doi:10.1098/rspa.2006.1747
br/062602732073,doi:10.1007/978-3-642-38844-6_25
br/06230199640,pmid:25088780 doi:10.1016/j.ymeth.2014.07.008
br/061103703697,pmid:2682767
br/0670517081,doi:10.1016/j.foodpol.2021.102189
br/06502310477,doi:10.1142/s0218127416500450
br/06520113284,doi:10.1109/cfasta57821.2023.10243367
br/062303652439,pmid:5962654 doi:10.1016/0020-708x(66)90001-9
br/06250691436,doi:10.1042/bst20150052 pmid:26009172
br/061201665577,doi:10.1097/00115550-200205000-00018
br/06503490336,pmid:34689254 doi:10.1007/s10072-021-05687-0
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<xsl:if test="//dc:relation[starts-with(., 'http')] and //dc:rights[.='info:eu-repo/semantics/openAccess']">
<oaf:fulltext>
<xsl:value-of select="//dc:relation[starts-with(., 'http')]" />
</oaf:fulltext>
</xsl:if>
<oaf:hostedBy name="{$varOfficialName}" id="{$varDataSourceId}" />
<oaf:collectedFrom name="{$varOfficialName}" id="{$varDataSourceId}" />
<xsl:variable name="varKnownFileEndings" select="('.bmp', '.doc', '.docx', '.epub', '.flv', '.jpeg', '.jpg', '.m4v', '.mp4', '.mpg', '.odp', '.pdf', '.png', '.ppt', '.tiv', '.txt', '.xls', '.xlsx', '.zip')" />
<xsl:variable name="varIdDoi" select="distinct-values((//dc:identifier[starts-with(., '10.')][matches(., '(10[.][0-9]{4,}[^\s/&gt;]*/[^\s&gt;]+)')], //dc:identifier[starts-with(., 'http') and (contains(., '://dx.doi.org/10.') or contains(., '://doi.org/10.'))]/substring-after(., 'doi.org/'), //dc:identifier[starts-with(lower-case(.), 'doi:10.')]/substring-after(lower-case(.), 'doi:')))" />
<xsl:for-each select="$varIdDoi">
<oaf:identifier identifierType="doi">
<xsl:value-of select="." />
</oaf:identifier>
</xsl:for-each>
<xsl:variable name="varIdHdl" select="distinct-values(//dc:identifier[starts-with(., 'http') and contains(., '://hdl.handle.net/')]/substring-after(., 'hdl.handle.net/'))" />
<xsl:for-each select="$varIdHdl" >
<oaf:identifier identifierType="handle">
<xsl:value-of select="." />
</oaf:identifier>
</xsl:for-each>
<xsl:variable name="varIdUrn" select="distinct-values(//dc:identifier[starts-with(., 'urn:nbn:nl:') or starts-with(., 'URN:NBN:NL:')])" />
<xsl:for-each select="$varIdUrn">
<oaf:identifier identifierType="urn">
<xsl:value-of select="." />
</oaf:identifier>
</xsl:for-each>
<xsl:variable name="varOrigBaseUrl" select="//*[local-name() = 'about']/*[local-name() = 'provenance']//*[local-name() = 'originDescription' and not(./*[local-name() = 'originDescription'])]/*[local-name() = 'baseURL']" />
<xsl:variable name="varIdLdpg" select="distinct-values(//dc:identifier[(contains(substring-after(., '://'), '/') and contains($varOrigBaseUrl, substring-before(substring-after(., '://'), '/'))) or (contains(substring-after(., '://'), ':') and contains($varOrigBaseUrl, substring-before(substring-after(., '://'), ':')))][not(replace(lower-case(.), '.*(\.[a-z]*)$', '$1') = $varKnownFileEndings)])" />
<xsl:for-each select="$varIdLdpg">
<oaf:identifier identifierType="landingPage">
<xsl:value-of select="." />
</oaf:identifier>
</xsl:for-each>
<xsl:variable name="varIdUrl" select="distinct-values(//dc:identifier[starts-with(., 'http')][not(contains(., '://dx.doi.org/') or contains(., '://doi.org/') or contains(., '://hdl.handle.net/'))][count(index-of($varIdLdpg, .)) = 0])" />
<xsl:for-each select="$varIdUrl">
<oaf:identifier identifierType="url">
<xsl:value-of select="." />
</oaf:identifier>
</xsl:for-each>
<xsl:for-each select="//oai:setSpec">
<xsl:variable name="rorDsId" select="vocabulary:clean(., 'cnr:institutes')" />
<xsl:if test="contains($rorDsId, '/ror.org/')">
<oaf:relation relType="resultOrganization" subRelType="affiliation" relClass="hasAuthorInstitution">
<xsl:value-of select="concat('ror_________::', $rorDsId)" />
</oaf:relation>
</xsl:if>
</xsl:for-each>
</metadata>
<xsl:copy-of select="//*[local-name() = 'about']" />
</record>
</xsl:template>
<xsl:template name="allElements">
<xsl:param name="sourceElement" />
<xsl:param name="targetElement" />
<xsl:for-each select="$sourceElement">
<xsl:element name="{$targetElement}">
<xsl:value-of select="normalize-space(.)" />
</xsl:element>
</xsl:for-each>
</xsl:template>
<xsl:template match="//*[local-name() = 'header']">
<xsl:copy>
<xsl:apply-templates select="node()|@*" />
<xsl:element name="dr:dateOfTransformation">
<xsl:value-of select="$transDate" />
</xsl:element>
</xsl:copy>
</xsl:template>
<xsl:template match="node()|@*">
<xsl:copy>
<xsl:apply-templates select="node()|@*" />
</xsl:copy>
</xsl:template>
</xsl:stylesheet>

View File

@ -4,7 +4,6 @@ package eu.dnetlib.dhp.oa.dedup;
import java.util.*;
import java.util.stream.Stream;
import eu.dnetlib.dhp.schema.oaf.utils.MergeUtils;
import org.apache.commons.beanutils.BeanUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.api.java.function.FlatMapFunction;
@ -15,11 +14,11 @@ import org.apache.spark.sql.*;
import eu.dnetlib.dhp.oa.dedup.model.Identifier;
import eu.dnetlib.dhp.oa.merge.AuthorMerger;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.utils.MergeUtils;
import eu.dnetlib.dhp.schema.oaf.Author;
import eu.dnetlib.dhp.schema.oaf.DataInfo;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.utils.MergeUtils;
import scala.Tuple2;
import scala.Tuple3;
import scala.collection.JavaConversions;

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