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178 changed files with 2643 additions and 7413 deletions

1
.gitignore vendored
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@ -27,4 +27,3 @@ spark-warehouse
/**/.factorypath
/**/.scalafmt.conf
/.java-version
/dhp-shade-package/dependency-reduced-pom.xml

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@ -80,15 +80,7 @@ class WritePredefinedProjectPropertiesTest {
mojo.outputFile = testFolder;
// execute
try {
mojo.execute();
Assertions.assertTrue(false); // not reached
} catch (Exception e) {
Assertions
.assertTrue(
MojoExecutionException.class.isAssignableFrom(e.getClass()) ||
IllegalArgumentException.class.isAssignableFrom(e.getClass()));
}
Assertions.assertThrows(MojoExecutionException.class, () -> mojo.execute());
}
@Test

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@ -38,7 +38,7 @@ public class PacePerson {
PacePerson.class
.getResourceAsStream(
"/eu/dnetlib/dhp/common/name_particles.txt")));
} catch (Exception e) {
} catch (IOException e) {
throw new RuntimeException(e);
}
}

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@ -12,7 +12,9 @@ import java.util.concurrent.TimeUnit;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.math.NumberUtils;
import org.apache.commons.lang3.time.DateUtils;
import org.apache.http.HttpHeaders;
import org.joda.time.Instant;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@ -212,11 +214,11 @@ public class HttpConnector2 {
.format(
"Unexpected status code: %s errors: %s", urlConn.getResponseCode(),
MAPPER.writeValueAsString(report)));
} catch (MalformedURLException e) {
} catch (MalformedURLException | UnknownHostException e) {
log.error(e.getMessage(), e);
report.put(e.getClass().getName(), e.getMessage());
throw new CollectorException(e.getMessage(), e);
} catch (SocketTimeoutException | SocketException | UnknownHostException e) {
} catch (SocketTimeoutException | SocketException e) {
log.error(e.getMessage(), e);
report.put(e.getClass().getName(), e.getMessage());
backoffAndSleep(getClientParams().getRetryDelay() * retryNumber * 1000);

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

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

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

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@ -563,24 +563,12 @@ public class GraphCleaningFunctions extends CleaningFunctions {
Optional
.ofNullable(i.getPid())
.ifPresent(pid -> {
final Set<HashableStructuredProperty> pids = pid
.stream()
.map(HashableStructuredProperty::newInstance)
.collect(Collectors.toCollection(HashSet::new));
final Set<StructuredProperty> pids = Sets.newHashSet(pid);
Optional
.ofNullable(i.getAlternateIdentifier())
.ifPresent(altId -> {
final Set<HashableStructuredProperty> altIds = altId
.stream()
.map(HashableStructuredProperty::newInstance)
.collect(Collectors.toCollection(HashSet::new));
i
.setAlternateIdentifier(
Sets
.difference(altIds, pids)
.stream()
.map(HashableStructuredProperty::toStructuredProperty)
.collect(Collectors.toList()));
final Set<StructuredProperty> altIds = Sets.newHashSet(altId);
i.setAlternateIdentifier(Lists.newArrayList(Sets.difference(altIds, pids)));
});
});

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@ -175,7 +175,7 @@ public class IdentifierFactory implements Serializable {
return entity
.getPid()
.stream()
.map(PidCleaner::normalizePidValue)
.map(CleaningFunctions::normalizePidValue)
.filter(CleaningFunctions::pidFilter)
.collect(
Collectors
@ -207,7 +207,7 @@ public class IdentifierFactory implements Serializable {
// 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(PidCleaner::normalizePidValue)
.map(CleaningFunctions::normalizePidValue)
.filter(p -> isNotFromDelegatedAuthority(collectedFrom, p))
.filter(CleaningFunctions::pidFilter))
.orElse(Stream.empty());

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@ -96,7 +96,7 @@ public class MergeEntitiesComparator implements Comparator<Oaf> {
// id
if (res == 0) {
if (left instanceof OafEntity && right instanceof OafEntity) {
res = ((OafEntity) right).getId().compareTo(((OafEntity) left).getId());
res = ((OafEntity) left).getId().compareTo(((OafEntity) right).getId());
}
}

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@ -30,7 +30,6 @@ import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
public class MergeUtils {
public static <T extends Oaf> T mergeById(String s, Iterator<T> oafEntityIterator) {
return mergeGroup(s, oafEntityIterator, true);
}
@ -89,7 +88,7 @@ public class MergeUtils {
private static Oaf mergeEntities(Oaf left, Oaf right, boolean checkDelegatedAuthority) {
if (sameClass(left, right, Result.class)) {
if (checkDelegatedAuthority) {
if (!left.getClass().equals(right.getClass()) || checkDelegatedAuthority) {
return mergeResultsOfDifferentTypes((Result) left, (Result) right);
}
@ -468,10 +467,6 @@ public class MergeUtils {
merge.setIsInDiamondJournal(booleanOR(merge.getIsInDiamondJournal(), enrich.getIsInDiamondJournal()));
merge.setPubliclyFunded(booleanOR(merge.getPubliclyFunded(), enrich.getPubliclyFunded()));
if (StringUtils.isBlank(merge.getTransformativeAgreement())) {
merge.setTransformativeAgreement(enrich.getTransformativeAgreement());
}
return merge;
}
@ -975,7 +970,7 @@ public class MergeUtils {
private static String extractKeyFromPid(final StructuredProperty pid) {
if (pid == null)
return null;
final StructuredProperty normalizedPid = PidCleaner.normalizePidValue(pid);
final StructuredProperty normalizedPid = CleaningFunctions.normalizePidValue(pid);
return String.format("%s::%s", normalizedPid.getQualifier().getClassid(), normalizedPid.getValue());
}

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

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

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@ -154,13 +154,5 @@
"unknown":{
"original":"Unknown",
"inverse":"Unknown"
},
"isamongtopnsimilardocuments": {
"original": "IsAmongTopNSimilarDocuments",
"inverse": "HasAmongTopNSimilarDocuments"
},
"hasamongtopnsimilardocuments": {
"original": "HasAmongTopNSimilarDocuments",
"inverse": "IsAmongTopNSimilarDocuments"
}
}

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@ -65,13 +65,12 @@ abstract class AbstractScalaApplication(
val conf: SparkConf = new SparkConf()
val master = parser.get("master")
log.info(s"Creating Spark session: Master: $master")
val b = SparkSession
SparkSession
.builder()
.config(conf)
.appName(getClass.getSimpleName)
if (master != null)
b.master(master)
b.getOrCreate()
.master(master)
.getOrCreate()
}
def reportTotalSize(targetPath: String, outputBasePath: String): Unit = {

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@ -65,11 +65,7 @@ object ScholixUtils extends Serializable {
}
def generateScholixResourceFromResult(r: Result): ScholixResource = {
val sum = ScholixUtils.resultToSummary(r)
if (sum != null)
generateScholixResourceFromSummary(ScholixUtils.resultToSummary(r))
else
null
generateScholixResourceFromSummary(ScholixUtils.resultToSummary(r))
}
val statsAggregator: Aggregator[(String, String, Long), RelatedEntities, RelatedEntities] =
@ -157,14 +153,6 @@ object ScholixUtils extends Serializable {
}
def invRel(rel: String): String = {
val semanticRelation = relations.getOrElse(rel.toLowerCase, null)
if (semanticRelation != null)
semanticRelation.inverse
else
null
}
def extractCollectedFrom(summary: ScholixResource): List[ScholixEntityId] = {
if (summary.getCollectedFrom != null && !summary.getCollectedFrom.isEmpty) {
val l: List[ScholixEntityId] = summary.getCollectedFrom.asScala.map { d =>
@ -389,7 +377,10 @@ object ScholixUtils extends Serializable {
if (persistentIdentifiers.isEmpty)
return null
s.setLocalIdentifier(persistentIdentifiers.asJava)
// s.setTypology(r.getResulttype.getClassid)
if (r.isInstanceOf[Publication])
s.setTypology(Typology.publication)
else
s.setTypology(Typology.dataset)
s.setSubType(r.getInstance().get(0).getInstancetype.getClassname)

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

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@ -177,7 +177,7 @@ class OafMapperUtilsTest {
assertTrue(cfId(d1.getCollectedfrom()).contains(ModelConstants.CROSSREF_ID));
assertEquals(
ModelConstants.PUBLICATION_RESULTTYPE_CLASSID,
ModelConstants.DATASET_RESULTTYPE_CLASSID,
((Result) MergeUtils
.merge(p2, d1))
.getResulttype()

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

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

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@ -24,7 +24,7 @@
<executions>
<execution>
<id>scala-compile-first</id>
<phase>process-resources</phase>
<phase>initialize</phase>
<goals>
<goal>add-source</goal>
<goal>compile</goal>
@ -59,6 +59,14 @@
<groupId>edu.cmu</groupId>
<artifactId>secondstring</artifactId>
</dependency>
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
</dependency>
<dependency>
<groupId>com.google.code.gson</groupId>
<artifactId>gson</artifactId>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-lang3</artifactId>
@ -83,6 +91,10 @@
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-math3</artifactId>
</dependency>
<dependency>
<groupId>com.jayway.jsonpath</groupId>
<artifactId>json-path</artifactId>
@ -101,90 +113,4 @@
</dependency>
</dependencies>
<profiles>
<profile>
<id>spark-24</id>
<activation>
<activeByDefault>true</activeByDefault>
</activation>
<build>
<plugins>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>build-helper-maven-plugin</artifactId>
<version>3.4.0</version>
<executions>
<execution>
<phase>generate-sources</phase>
<goals>
<goal>add-source</goal>
</goals>
<configuration>
<sources>
<source>src/main/spark-2</source>
</sources>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</profile>
<profile>
<id>spark-34</id>
<build>
<plugins>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>build-helper-maven-plugin</artifactId>
<version>3.4.0</version>
<executions>
<execution>
<phase>generate-sources</phase>
<goals>
<goal>add-source</goal>
</goals>
<configuration>
<sources>
<source>src/main/spark-2</source>
</sources>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</profile>
<profile>
<id>spark-35</id>
<build>
<plugins>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>build-helper-maven-plugin</artifactId>
<version>3.4.0</version>
<executions>
<execution>
<phase>generate-sources</phase>
<goals>
<goal>add-source</goal>
</goals>
<configuration>
<sources>
<source>src/main/spark-35</source>
</sources>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</profile>
</profiles>
</project>

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

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

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@ -47,21 +47,9 @@ public class FieldDef implements Serializable {
private String clean;
private String infer;
private String inferenceFrom;
public FieldDef() {
}
public String getInferenceFrom() {
return inferenceFrom;
}
public void setInferenceFrom(final String inferenceFrom) {
this.inferenceFrom = inferenceFrom;
}
public String getName() {
return name;
}
@ -138,14 +126,6 @@ public class FieldDef implements Serializable {
this.clean = clean;
}
public String getInfer() {
return infer;
}
public void setInfer(String infer) {
this.infer = infer;
}
@Override
public String toString() {
try {

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@ -3,7 +3,7 @@ package eu.dnetlib.pace.model
import com.jayway.jsonpath.{Configuration, JsonPath}
import eu.dnetlib.pace.common.AbstractPaceFunctions
import eu.dnetlib.pace.config.{DedupConfig, Type}
import eu.dnetlib.pace.util.{MapDocumentUtil, SparkCompatUtils}
import eu.dnetlib.pace.util.MapDocumentUtil
import org.apache.commons.lang3.StringUtils
import org.apache.spark.sql.catalyst.encoders.RowEncoder
import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
@ -52,7 +52,7 @@ case class SparkModel(conf: DedupConfig) {
val orderingFieldPosition: Int = schema.fieldIndex(orderingFieldName)
val parseJsonDataset: (Dataset[String] => Dataset[Row]) = df => {
df.map(r => rowFromJson(r))(SparkCompatUtils.encoderFor(schema))
df.map(r => rowFromJson(r))(RowEncoder(schema))
}
def rowFromJson(json: String): Row = {
@ -123,19 +123,9 @@ case class SparkModel(conf: DedupConfig) {
case _ => res(index)
}
}
if (StringUtils.isNotBlank(fdef.getInfer)) {
val inferFrom : String = if (StringUtils.isNotBlank(fdef.getInferenceFrom)) fdef.getInferenceFrom else fdef.getPath
res(index) = res(index) match {
case x: Seq[String] => x.map(inference(_, MapDocumentUtil.getJPathString(inferFrom, documentContext), fdef.getInfer))
case _ => inference(res(index).toString, MapDocumentUtil.getJPathString(inferFrom, documentContext), fdef.getInfer)
}
}
}
res
}
new GenericRowWithSchema(values, schema)
@ -156,17 +146,5 @@ case class SparkModel(conf: DedupConfig) {
res
}
def inference(value: String, inferfrom: String, infertype: String) : String = {
val res = infertype match {
case "country" => AbstractPaceFunctions.countryInference(value, inferfrom)
case "city" => AbstractPaceFunctions.cityInference(value)
case "keyword" => AbstractPaceFunctions.keywordInference(value)
case "city_keyword" => AbstractPaceFunctions.cityKeywordInference(value)
case _ => value
}
res
}
}

View File

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

View File

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

View File

@ -2,7 +2,6 @@
package eu.dnetlib.pace.tree;
import java.util.Map;
import java.util.Set;
import com.wcohen.ss.AbstractStringDistance;
@ -13,11 +12,8 @@ import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("countryMatch")
public class CountryMatch extends AbstractStringComparator {
private Map<String, String> params;
public CountryMatch(Map<String, String> params) {
super(params, new com.wcohen.ss.JaroWinkler());
this.params = params;
}
public CountryMatch(final double weight) {
@ -30,7 +26,6 @@ public class CountryMatch extends AbstractStringComparator {
@Override
public double distance(final String a, final String b, final Config conf) {
if (a.isEmpty() || b.isEmpty()) {
return -1.0; // return -1 if a field is missing
}
@ -50,5 +45,4 @@ public class CountryMatch extends AbstractStringComparator {
protected double normalize(final double d) {
return d;
}
}

View File

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

View File

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

View File

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

File diff suppressed because one or more lines are too long

View File

@ -1,12 +0,0 @@
package eu.dnetlib.pace.util
import org.apache.spark.sql.Row
import org.apache.spark.sql.catalyst.encoders.{ExpressionEncoder, RowEncoder}
import org.apache.spark.sql.types.StructType
object SparkCompatUtils {
def encoderFor(schema: StructType): ExpressionEncoder[Row] = {
RowEncoder(schema)
}
}

View File

@ -1,12 +0,0 @@
package eu.dnetlib.pace.util
import org.apache.spark.sql.Row
import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
import org.apache.spark.sql.types.StructType
object SparkCompatUtils {
def encoderFor(schema: StructType): ExpressionEncoder[Row] = {
ExpressionEncoder(schema)
}
}

View File

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

View File

@ -54,47 +54,4 @@ public class PaceFunctionTest extends AbstractPaceFunctions {
System.out.println("Fixed aliases : " + fixAliases(TEST_STRING));
}
@Test
public void countryInferenceTest() {
assertEquals("IT", countryInference("UNKNOWN", "Università di Bologna"));
assertEquals("UK", countryInference("UK", "Università di Bologna"));
assertEquals("IT", countryInference("UNKNOWN", "Universiteé de Naples"));
assertEquals("UNKNOWN", countryInference("UNKNOWN", "Università del Lavoro"));
}
@Test
public void cityInferenceTest() {
assertEquals("universita city::3181928", cityInference("Università di Bologna"));
assertEquals("university city::3170647", cityInference("University of Pisa"));
assertEquals("universita", cityInference("Università del lavoro"));
assertEquals("universita city::3173331 city::3169522", cityInference("Università di Modena e Reggio Emilia"));
}
@Test
public void keywordInferenceTest() {
assertEquals("key::41 turin", keywordInference("Polytechnic University of Turin"));
assertEquals("key::41 torino", keywordInference("POLITECNICO DI TORINO"));
assertEquals(
"key::1 key::60 key::81 milano bergamo",
keywordInference("Universita farmaceutica culturale di milano bergamo"));
assertEquals("key::1 key::1 milano milano", keywordInference("universita universita milano milano"));
assertEquals(
"key::10 kapodistriako panepistemio athenon",
keywordInference("Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών"));
}
@Test
public void cityKeywordInferenceTest() {
assertEquals("key::41 city::3165524", cityKeywordInference("Polytechnic University of Turin"));
assertEquals("key::41 city::3165524", cityKeywordInference("POLITECNICO DI TORINO"));
assertEquals(
"key::1 key::60 key::81 city::3173435 city::3182164",
cityKeywordInference("Universita farmaceutica culturale di milano bergamo"));
assertEquals(
"key::1 key::1 city::3173435 city::3173435", cityKeywordInference("universita universita milano milano"));
assertEquals(
"key::10 kapodistriako panepistemio city::264371",
cityKeywordInference("Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών"));
}
}

View File

@ -35,7 +35,6 @@ public class ComparatorTest extends AbstractPaceTest {
params.put("name_th", "0.95");
params.put("jpath_value", "$.value");
params.put("jpath_classid", "$.qualifier.classid");
params.put("codeRegex", "key::\\d+");
}
@Test
@ -45,23 +44,52 @@ public class ComparatorTest extends AbstractPaceTest {
}
@Test
public void codeMatchTest() {
CodeMatch codeMatch = new CodeMatch(params);
public void cityMatchTest() {
final CityMatch cityMatch = new CityMatch(params);
// both names with no codes
assertEquals(1.0, codeMatch.distance("testing1", "testing2", conf));
// both names with no cities
assertEquals(1.0, cityMatch.distance("Università", "Centro di ricerca", conf));
// one of the two names with no codes
assertEquals(-1.0, codeMatch.distance("testing1 key::1", "testing", conf));
// one of the two names with no cities
assertEquals(-1.0, cityMatch.distance("Università di Bologna", "Centro di ricerca", conf));
// both names with codes (same)
assertEquals(1.0, codeMatch.distance("testing1 key::1", "testing2 key::1", conf));
// both names with cities (same)
assertEquals(1.0, cityMatch.distance("Universita di Bologna", "Biblioteca di Bologna", conf));
// both names with codes (different)
assertEquals(0.0, codeMatch.distance("testing1 key::1", "testing2 key::2", conf));
// both names with cities (different)
assertEquals(0.0, cityMatch.distance("Universita di Bologna", "Universita di Torino", conf));
assertEquals(0.0, cityMatch.distance("Franklin College", "Concordia College", conf));
// both names with codes (1 same, 1 different)
assertEquals(0.5, codeMatch.distance("key::1 key::2 testing1", "key::1 testing", conf));
// particular cases
assertEquals(1.0, cityMatch.distance("Free University of Bozen-Bolzano", "Università di Bolzano", conf));
assertEquals(
1.0,
cityMatch
.distance(
"Politechniki Warszawskiej (Warsaw University of Technology)", "Warsaw University of Technology",
conf));
// failing becasuse 'Allen' is a transliterrated greek stopword
// assertEquals(-1.0, cityMatch.distance("Allen (United States)", "United States Military Academy", conf));
assertEquals(-1.0, cityMatch.distance("Washington (United States)", "United States Military Academy", conf));
}
@Test
public void keywordMatchTest() {
params.put("threshold", "0.5");
final KeywordMatch keywordMatch = new KeywordMatch(params);
assertEquals(
0.5, keywordMatch.distance("Biblioteca dell'Universita di Bologna", "Università di Bologna", conf));
assertEquals(1.0, keywordMatch.distance("Universita degli studi di Pisa", "Universita di Pisa", conf));
assertEquals(1.0, keywordMatch.distance("Polytechnic University of Turin", "POLITECNICO DI TORINO", conf));
assertEquals(1.0, keywordMatch.distance("Istanbul Commerce University", "İstanbul Ticarət Universiteti", conf));
assertEquals(1.0, keywordMatch.distance("Franklin College", "Concordia College", conf));
assertEquals(2.0 / 3.0, keywordMatch.distance("University of Georgia", "Georgia State University", conf));
assertEquals(0.5, keywordMatch.distance("University College London", "University of London", conf));
assertEquals(0.5, keywordMatch.distance("Washington State University", "University of Washington", conf));
assertEquals(-1.0, keywordMatch.distance("Allen (United States)", "United States Military Academy", conf));
}
@ -127,15 +155,15 @@ public class ComparatorTest extends AbstractPaceTest {
}
@Test
public void jaroWinklerLegalnameTest() {
public void jaroWinklerNormalizedNameTest() {
final JaroWinklerLegalname jaroWinklerLegalname = new JaroWinklerLegalname(params);
final JaroWinklerNormalizedName jaroWinklerNormalizedName = new JaroWinklerNormalizedName(params);
double result = jaroWinklerLegalname
.distance("AT&T (United States)", "United States key::2 key::1", conf);
double result = jaroWinklerNormalizedName
.distance("AT&T (United States)", "United States Military Academy", conf);
System.out.println("result = " + result);
result = jaroWinklerLegalname.distance("NOAA - Servicio Meteorol\\u00f3gico Nacional", "NOAA - NWS", conf);
result = jaroWinklerNormalizedName.distance("NOAA - Servicio Meteorol\\u00f3gico Nacional", "NOAA - NWS", conf);
System.out.println("result = " + result);
}
@ -316,13 +344,13 @@ public class ComparatorTest extends AbstractPaceTest {
double result = countryMatch.distance("UNKNOWN", "UNKNOWN", conf);
assertEquals(-1.0, result);
result = countryMatch.distance("CL", "UNKNOWN", conf);
result = countryMatch.distance("CHILE", "UNKNOWN", conf);
assertEquals(-1.0, result);
result = countryMatch.distance("CL", "IT", conf);
result = countryMatch.distance("CHILE", "ITALY", conf);
assertEquals(0.0, result);
result = countryMatch.distance("CL", "CL", conf);
result = countryMatch.distance("CHILE", "CHILE", conf);
assertEquals(1.0, result);
}

View File

@ -11,7 +11,6 @@ import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import eu.dnetlib.pace.model.Person;
import jdk.nashorn.internal.ir.annotations.Ignore;
public class UtilTest {

View File

@ -1,169 +0,0 @@
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp</artifactId>
<version>1.2.5-SNAPSHOT</version>
<relativePath>../pom.xml</relativePath>
</parent>
<artifactId>dhp-shade-package</artifactId>
<packaging>jar</packaging>
<distributionManagement>
<site>
<id>DHPSite</id>
<url>${dhp.site.stage.path}/dhp-common</url>
</site>
</distributionManagement>
<description>This module create a jar of all module dependencies</description>
<dependencies>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-actionmanager</artifactId>
<version>${project.version}</version>
</dependency>
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-aggregation</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-blacklist</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-broker-events</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-dedup-openaire</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-enrichment</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-graph-mapper</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-graph-provision</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-impact-indicators</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-stats-actionsets</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-stats-hist-snaps</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-stats-monitor-irish</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-stats-promote</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-stats-update</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-swh</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-usage-raw-data-update</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-usage-stats-build</artifactId>
<version>${project.version}</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<transformers>
<transformer
implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<mainClass>eu.dnetlib.dhp.oa.dedup.SparkCreateSimRels</mainClass>
</transformer>
<!-- This is needed if you have dependencies that use Service Loader. Most Google Cloud client libraries do. -->
<transformer
implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer"/>
<transformer
implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
<resource>META-INF/cxf/bus-extensions.txt</resource>
</transformer>
</transformers>
<filters>
<filter>
<artifact>*:*</artifact>
<excludes>
<exclude>META-INF/maven/**</exclude>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
<relocations>
<relocation>
<pattern>com</pattern>
<shadedPattern>repackaged.com.google.common</shadedPattern>
<includes>
<include>com.google.common.**</include>
</includes>
</relocation>
</relocations>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project>

View File

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

View File

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

View File

@ -135,10 +135,21 @@
<arg>--outputPath</arg><arg>${workingDir}/action_payload_by_type</arg>
<arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
</spark>
<ok to="PromoteActionPayloadForDatasetTable"/>
<ok to="ForkPromote"/>
<error to="Kill"/>
</action>
<fork name="ForkPromote">
<path start="PromoteActionPayloadForDatasetTable"/>
<path start="PromoteActionPayloadForDatasourceTable"/>
<path start="PromoteActionPayloadForOrganizationTable"/>
<path start="PromoteActionPayloadForOtherResearchProductTable"/>
<path start="PromoteActionPayloadForProjectTable"/>
<path start="PromoteActionPayloadForPublicationTable"/>
<path start="PromoteActionPayloadForRelationTable"/>
<path start="PromoteActionPayloadForSoftwareTable"/>
</fork>
<action name="PromoteActionPayloadForDatasetTable">
<sub-workflow>
<app-path>${wf:appPath()}/promote_action_payload_for_dataset_table</app-path>
@ -150,7 +161,7 @@
</property>
</configuration>
</sub-workflow>
<ok to="PromoteActionPayloadForDatasourceTable"/>
<ok to="JoinPromote"/>
<error to="Kill"/>
</action>
@ -165,7 +176,7 @@
</property>
</configuration>
</sub-workflow>
<ok to="PromoteActionPayloadForOrganizationTable"/>
<ok to="JoinPromote"/>
<error to="Kill"/>
</action>
@ -180,7 +191,7 @@
</property>
</configuration>
</sub-workflow>
<ok to="PromoteActionPayloadForOtherResearchProductTable"/>
<ok to="JoinPromote"/>
<error to="Kill"/>
</action>
@ -195,7 +206,7 @@
</property>
</configuration>
</sub-workflow>
<ok to="PromoteActionPayloadForProjectTable"/>
<ok to="JoinPromote"/>
<error to="Kill"/>
</action>
@ -210,7 +221,7 @@
</property>
</configuration>
</sub-workflow>
<ok to="PromoteActionPayloadForPublicationTable"/>
<ok to="JoinPromote"/>
<error to="Kill"/>
</action>
@ -225,7 +236,7 @@
</property>
</configuration>
</sub-workflow>
<ok to="PromoteActionPayloadForRelationTable"/>
<ok to="JoinPromote"/>
<error to="Kill"/>
</action>
@ -240,7 +251,7 @@
</property>
</configuration>
</sub-workflow>
<ok to="PromoteActionPayloadForSoftwareTable"/>
<ok to="JoinPromote"/>
<error to="Kill"/>
</action>
@ -255,9 +266,11 @@
</property>
</configuration>
</sub-workflow>
<ok to="End"/>
<ok to="JoinPromote"/>
<error to="Kill"/>
</action>
<join name="JoinPromote" to="End"/>
<end name="End"/>
</workflow-app>

View File

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

View File

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

View File

@ -10,6 +10,7 @@ import java.util.List;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.BZip2Codec;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
@ -28,7 +29,6 @@ import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.utils.CleaningFunctions;
import eu.dnetlib.dhp.schema.oaf.utils.DoiCleaningRule;
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import scala.Tuple2;
@ -44,10 +44,6 @@ public class PrepareAffiliationRelations implements Serializable {
public static final String BIP_AFFILIATIONS_CLASSID = "result:organization:openaireinference";
public static final String BIP_AFFILIATIONS_CLASSNAME = "Affiliation relation inferred by OpenAIRE";
public static final String BIP_INFERENCE_PROVENANCE = "openaire:affiliation";
public static final String OPENAIRE_DATASOURCE_ID = "10|infrastruct_::f66f1bd369679b5b077dcdf006089556";
public static final String OPENAIRE_DATASOURCE_NAME = "OpenAIRE";
public static final String DOI_URL_PREFIX = "https://doi.org/";
public static final int DOI_URL_PREFIX_LENGTH = 16;
public static <I extends Result> void main(String[] args) throws Exception {
@ -78,9 +74,6 @@ public class PrepareAffiliationRelations implements Serializable {
final String webcrawlInputPath = parser.get("webCrawlInputPath");
log.info("webcrawlInputPath: {}", webcrawlInputPath);
final String publisherInputPath = parser.get("publisherInputPath");
log.info("publisherInputPath: {}", publisherInputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
@ -91,74 +84,43 @@ public class PrepareAffiliationRelations implements Serializable {
isSparkSessionManaged,
spark -> {
Constants.removeOutputDir(spark, outputPath);
createActionSet(
spark, crossrefInputPath, pubmedInputPath, openapcInputPath, dataciteInputPath, webcrawlInputPath,
publisherInputPath, outputPath);
List<KeyValue> collectedFromCrossref = OafMapperUtils
.listKeyValues(ModelConstants.CROSSREF_ID, "Crossref");
JavaPairRDD<Text, Text> crossrefRelations = prepareAffiliationRelations(
spark, crossrefInputPath, collectedFromCrossref);
List<KeyValue> collectedFromPubmed = OafMapperUtils
.listKeyValues(ModelConstants.PUBMED_CENTRAL_ID, "Pubmed");
JavaPairRDD<Text, Text> pubmedRelations = prepareAffiliationRelations(
spark, pubmedInputPath, collectedFromPubmed);
List<KeyValue> collectedFromOpenAPC = OafMapperUtils
.listKeyValues(ModelConstants.OPEN_APC_ID, "OpenAPC");
JavaPairRDD<Text, Text> openAPCRelations = prepareAffiliationRelations(
spark, openapcInputPath, collectedFromOpenAPC);
List<KeyValue> collectedFromDatacite = OafMapperUtils
.listKeyValues(ModelConstants.DATACITE_ID, "Datacite");
JavaPairRDD<Text, Text> dataciteRelations = prepareAffiliationRelations(
spark, dataciteInputPath, collectedFromDatacite);
List<KeyValue> collectedFromWebCrawl = OafMapperUtils
.listKeyValues(Constants.WEB_CRAWL_ID, Constants.WEB_CRAWL_NAME);
JavaPairRDD<Text, Text> webCrawlRelations = prepareAffiliationRelations(
spark, webcrawlInputPath, collectedFromWebCrawl);
crossrefRelations
.union(pubmedRelations)
.union(openAPCRelations)
.union(dataciteRelations)
.union(webCrawlRelations)
.saveAsHadoopFile(
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, BZip2Codec.class);
});
}
private static void createActionSet(SparkSession spark, String crossrefInputPath, String pubmedInputPath,
String openapcInputPath, String dataciteInputPath, String webcrawlInputPath, String publisherlInputPath,
String outputPath) {
List<KeyValue> collectedfromOpenAIRE = OafMapperUtils
.listKeyValues(OPENAIRE_DATASOURCE_ID, OPENAIRE_DATASOURCE_NAME);
JavaPairRDD<Text, Text> crossrefRelations = prepareAffiliationRelationsNewModel(
spark, crossrefInputPath, collectedfromOpenAIRE);
JavaPairRDD<Text, Text> pubmedRelations = prepareAffiliationRelations(
spark, pubmedInputPath, collectedfromOpenAIRE);
JavaPairRDD<Text, Text> openAPCRelations = prepareAffiliationRelationsNewModel(
spark, openapcInputPath, collectedfromOpenAIRE);
JavaPairRDD<Text, Text> dataciteRelations = prepareAffiliationRelations(
spark, dataciteInputPath, collectedfromOpenAIRE);
JavaPairRDD<Text, Text> webCrawlRelations = prepareAffiliationRelations(
spark, webcrawlInputPath, collectedfromOpenAIRE);
JavaPairRDD<Text, Text> publisherRelations = prepareAffiliationRelationFromPublisher(
spark, publisherlInputPath, collectedfromOpenAIRE);
crossrefRelations
.union(pubmedRelations)
.union(openAPCRelations)
.union(dataciteRelations)
.union(webCrawlRelations)
.union(publisherRelations)
.saveAsHadoopFile(
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, BZip2Codec.class);
}
private static JavaPairRDD<Text, Text> prepareAffiliationRelationFromPublisherNewModel(SparkSession spark,
String inputPath,
List<KeyValue> collectedfrom) {
Dataset<Row> df = spark
.read()
.schema(
"`DOI` STRING, `Organizations` ARRAY<STRUCT<`PID`:STRING, `Value`:STRING,`Confidence`:DOUBLE, `Status`:STRING>>")
.json(inputPath)
.where("DOI is not null");
return getTextTextJavaPairRDD(collectedfrom, df.selectExpr("DOI", "Organizations as Matchings"));
}
private static JavaPairRDD<Text, Text> prepareAffiliationRelationFromPublisher(SparkSession spark, String inputPath,
List<KeyValue> collectedfrom) {
Dataset<Row> df = spark
.read()
.schema("`DOI` STRING, `Organizations` ARRAY<STRUCT<`RORid`:STRING,`Confidence`:DOUBLE>>")
.json(inputPath)
.where("DOI is not null");
return getTextTextJavaPairRDD(collectedfrom, df.selectExpr("DOI", "Organizations as Matchings"));
}
private static <I extends Result> JavaPairRDD<Text, Text> prepareAffiliationRelations(SparkSession spark,
String inputPath,
List<KeyValue> collectedfrom) {
@ -167,27 +129,8 @@ public class PrepareAffiliationRelations implements Serializable {
Dataset<Row> df = spark
.read()
.schema("`DOI` STRING, `Matchings` ARRAY<STRUCT<`RORid`:STRING,`Confidence`:DOUBLE>>")
.json(inputPath)
.where("DOI is not null");
.json(inputPath);
return getTextTextJavaPairRDD(collectedfrom, df);
}
private static <I extends Result> JavaPairRDD<Text, Text> prepareAffiliationRelationsNewModel(SparkSession spark,
String inputPath,
List<KeyValue> collectedfrom) {
// load and parse affiliation relations from HDFS
Dataset<Row> df = spark
.read()
.schema(
"`DOI` STRING, `Matchings` ARRAY<STRUCT<`PID`:STRING, `Value`:STRING,`Confidence`:DOUBLE, `Status`:STRING>>")
.json(inputPath)
.where("DOI is not null");
return getTextTextJavaPairRDDNew(collectedfrom, df);
}
private static JavaPairRDD<Text, Text> getTextTextJavaPairRDD(List<KeyValue> collectedfrom, Dataset<Row> df) {
// unroll nested arrays
df = df
.withColumn("matching", functions.explode(new Column("Matchings")))
@ -203,7 +146,7 @@ public class PrepareAffiliationRelations implements Serializable {
// DOI to OpenAIRE id
final String paperId = ID_PREFIX
+ IdentifierFactory.md5(DoiCleaningRule.clean(removePrefix(row.getAs("doi"))));
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", row.getAs("doi")));
// ROR id to OpenAIRE id
final String affId = GenerateRorActionSetJob.calculateOpenaireId(row.getAs("rorid"));
@ -235,69 +178,6 @@ public class PrepareAffiliationRelations implements Serializable {
new Text(OBJECT_MAPPER.writeValueAsString(aa))));
}
private static JavaPairRDD<Text, Text> getTextTextJavaPairRDDNew(List<KeyValue> collectedfrom, Dataset<Row> df) {
// unroll nested arrays
df = df
.withColumn("matching", functions.explode(new Column("Matchings")))
.select(
new Column("DOI").as("doi"),
new Column("matching.PID").as("pidtype"),
new Column("matching.Value").as("pidvalue"),
new Column("matching.Confidence").as("confidence"),
new Column("matching.Status").as("status"))
.where("status = 'active'");
// prepare action sets for affiliation relations
return df
.toJavaRDD()
.flatMap((FlatMapFunction<Row, Relation>) row -> {
// DOI to OpenAIRE id
final String paperId = ID_PREFIX
+ IdentifierFactory.md5(DoiCleaningRule.clean(removePrefix(row.getAs("doi"))));
// Organization to OpenAIRE identifier
String affId = null;
if (row.getAs("pidtype").equals("ROR"))
// ROR id to OpenIARE id
affId = GenerateRorActionSetJob.calculateOpenaireId(row.getAs("pidvalue"));
else
// getting the OpenOrgs identifier for the organization
affId = row.getAs("pidvalue");
Qualifier qualifier = OafMapperUtils
.qualifier(
BIP_AFFILIATIONS_CLASSID,
BIP_AFFILIATIONS_CLASSNAME,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS);
// format data info; setting `confidence` into relation's `trust`
DataInfo dataInfo = OafMapperUtils
.dataInfo(
false,
BIP_INFERENCE_PROVENANCE,
true,
false,
qualifier,
Double.toString(row.getAs("confidence")));
// return bi-directional relations
return getAffiliationRelationPair(paperId, affId, collectedfrom, dataInfo).iterator();
})
.map(p -> new AtomicAction(Relation.class, p))
.mapToPair(
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
new Text(OBJECT_MAPPER.writeValueAsString(aa))));
}
private static String removePrefix(String doi) {
if (doi.startsWith(DOI_URL_PREFIX))
return doi.substring(DOI_URL_PREFIX_LENGTH);
return doi;
}
private static List<Relation> getAffiliationRelationPair(String paperId, String affId, List<KeyValue> collectedfrom,
DataInfo dataInfo) {
return Arrays

View File

@ -10,7 +10,6 @@ import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.BZip2Codec;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
@ -84,7 +83,7 @@ public class SparkAtomicActionScoreJob implements Serializable {
resultsRDD
.union(projectsRDD)
.saveAsHadoopFile(
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, BZip2Codec.class);
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
});
}

View File

@ -6,23 +6,26 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.MapGroupsFunction;
import org.apache.spark.sql.*;
import org.jetbrains.annotations.NotNull;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.SDGDataModel;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
import eu.dnetlib.dhp.schema.oaf.Subject;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import eu.dnetlib.dhp.utils.DHPUtils;
public class PrepareSDGSparkJob implements Serializable {
@ -49,91 +52,42 @@ public class PrepareSDGSparkJob implements Serializable {
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final Boolean distributeDOI = Optional
.ofNullable(parser.get("distributeDoi"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("distribute doi {}", distributeDOI);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
if (distributeDOI)
doPrepare(
spark,
sourcePath,
outputPath);
else
doPrepareoaid(spark, sourcePath, outputPath);
doPrepare(
spark,
sourcePath,
outputPath);
});
}
private static void doPrepare(SparkSession spark, String sourcePath, String outputPath) {
Dataset<Row> sdgDataset = spark
.read()
.format("csv")
.option("sep", DEFAULT_DELIMITER)
.option("inferSchema", "true")
.option("header", "true")
.option("quotes", "\"")
.load(sourcePath);
Dataset<SDGDataModel> sdgDataset = readPath(spark, sourcePath, SDGDataModel.class);
sdgDataset
.groupByKey((MapFunction<Row, String>) v -> ((String) v.getAs("doi")).toLowerCase(), Encoders.STRING())
.mapGroups(
(MapGroupsFunction<String, Row, Result>) (k,
it) -> getResult(
DHPUtils
.generateUnresolvedIdentifier(
ModelSupport.entityIdPrefix.get(Result.class.getSimpleName().toLowerCase()) + "|" + k,
DOI),
it),
Encoders.bean(Result.class))
.groupByKey((MapFunction<SDGDataModel, String>) r -> r.getDoi().toLowerCase(), Encoders.STRING())
.mapGroups((MapGroupsFunction<String, SDGDataModel, Result>) (k, it) -> {
Result r = new Result();
r.setId(DHPUtils.generateUnresolvedIdentifier(k, DOI));
SDGDataModel first = it.next();
List<Subject> sbjs = new ArrayList<>();
sbjs.add(getSubject(first.getSbj(), SDG_CLASS_ID, SDG_CLASS_NAME, UPDATE_SUBJECT_SDG_CLASS_ID));
it
.forEachRemaining(
s -> sbjs
.add(getSubject(s.getSbj(), SDG_CLASS_ID, SDG_CLASS_NAME, UPDATE_SUBJECT_SDG_CLASS_ID)));
r.setSubject(sbjs);
return r;
}, Encoders.bean(Result.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath + "/sdg");
}
private static void doPrepareoaid(SparkSession spark, String sourcePath, String outputPath) {
Dataset<Row> sdgDataset = spark
.read()
.format("csv")
.option("sep", DEFAULT_DELIMITER)
.option("inferSchema", "true")
.option("header", "true")
.option("quotes", "\"")
.load(sourcePath);
;
sdgDataset
.groupByKey((MapFunction<Row, String>) r -> "50|" + ((String) r.getAs("oaid")), Encoders.STRING())
.mapGroups(
(MapGroupsFunction<String, Row, Result>) PrepareSDGSparkJob::getResult, Encoders.bean(Result.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath + "/sdg");
}
private static @NotNull Result getResult(String id, Iterator<Row> it) {
Result r = new Result();
r.setId(id);
Row first = it.next();
List<Subject> sbjs = new ArrayList<>();
sbjs.add(getSubject(first.getAs("sdg"), SDG_CLASS_ID, SDG_CLASS_NAME, UPDATE_SUBJECT_SDG_CLASS_ID));
it
.forEachRemaining(
s -> sbjs
.add(getSubject(s.getAs("sdg"), SDG_CLASS_ID, SDG_CLASS_NAME, UPDATE_SUBJECT_SDG_CLASS_ID)));
r.setSubject(sbjs);
return r;
}
}

View File

@ -13,6 +13,9 @@ 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;
@ -21,9 +24,13 @@ import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.opencitations.model.COCI;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.utils.*;
import scala.Tuple2;
public class CreateActionSetSparkJob implements Serializable {

View File

@ -49,9 +49,6 @@ public class ReadCOCI implements Serializable {
final String workingPath = parser.get("inputPath");
log.info("workingPath {}", workingPath);
final String backupPath = parser.get("backupPath");
log.info("backupPath {}", backupPath);
SparkConf sconf = new SparkConf();
Configuration conf = new Configuration();
@ -71,14 +68,12 @@ public class ReadCOCI implements Serializable {
workingPath,
fileSystem,
outputPath,
backupPath,
delimiter);
});
}
private static void doRead(SparkSession spark, String workingPath, FileSystem fileSystem,
String outputPath,
String backupPath,
String delimiter) throws IOException {
RemoteIterator<LocatedFileStatus> fileStatusListIterator = fileSystem
.listFiles(
@ -112,8 +107,7 @@ public class ReadCOCI implements Serializable {
.mode(SaveMode.Append)
.option("compression", "gzip")
.json(outputPath);
fileSystem.rename(fileStatus.getPath(), new Path(backupPath));
fileSystem.rename(fileStatus.getPath(), new Path("/tmp/miriam/OC/DONE"));
}
}

View File

@ -1,80 +0,0 @@
package eu.dnetlib.dhp.actionmanager.personentity;
import java.util.Arrays;
import java.util.Iterator;
import java.util.List;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.Person;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import eu.dnetlib.dhp.utils.DHPUtils;
public class CoAuthorshipIterator implements Iterator<Relation> {
private int firstIndex;
private int secondIndex;
private boolean firstRelation;
private List<String> authors;
private static final String PERSON_PREFIX = ModelSupport.getIdPrefix(Person.class) + "|orcid_______::";
private static final String OPENAIRE_PREFIX = "openaire____";
private static final String SEPARATOR = "::";
private static final String ORCID_KEY = "10|" + OPENAIRE_PREFIX + SEPARATOR
+ DHPUtils.md5(ModelConstants.ORCID.toLowerCase());
public static final String ORCID_AUTHORS_CLASSID = "sysimport:crosswalk:orcid";
public static final String ORCID_AUTHORS_CLASSNAME = "Imported from ORCID";
@Override
public boolean hasNext() {
return firstIndex < authors.size() - 1;
}
@Override
public Relation next() {
Relation rel = null;
if (firstRelation) {
rel = getRelation(authors.get(firstIndex), authors.get(secondIndex));
firstRelation = Boolean.FALSE;
} else {
rel = getRelation(authors.get(secondIndex), authors.get(firstIndex));
firstRelation = Boolean.TRUE;
secondIndex += 1;
if (secondIndex >= authors.size()) {
firstIndex += 1;
secondIndex = firstIndex + 1;
}
}
return rel;
}
public CoAuthorshipIterator(List<String> authors) {
this.authors = authors;
this.firstIndex = 0;
this.secondIndex = 1;
this.firstRelation = Boolean.TRUE;
}
private Relation getRelation(String orcid1, String orcid2) {
String source = PERSON_PREFIX + IdentifierFactory.md5(orcid1);
String target = PERSON_PREFIX + IdentifierFactory.md5(orcid2);
return OafMapperUtils
.getRelation(
source, target, ModelConstants.PERSON_PERSON_RELTYPE,
ModelConstants.PERSON_PERSON_SUBRELTYPE,
ModelConstants.PERSON_PERSON_HASCOAUTHORED,
Arrays.asList(OafMapperUtils.keyValue(ORCID_KEY, ModelConstants.ORCID_DS)),
OafMapperUtils
.dataInfo(
false, null, false, false,
OafMapperUtils
.qualifier(
ORCID_AUTHORS_CLASSID, ORCID_AUTHORS_CLASSNAME,
ModelConstants.DNET_PROVENANCE_ACTIONS, ModelConstants.DNET_PROVENANCE_ACTIONS),
"0.91"),
null);
}
}

View File

@ -1,20 +0,0 @@
package eu.dnetlib.dhp.actionmanager.personentity;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.List;
import eu.dnetlib.dhp.schema.oaf.Relation;
public class Coauthors implements Serializable {
private List<String> coauthors;
public List<String> getCoauthors() {
return coauthors;
}
public void setCoauthors(List<String> coauthors) {
this.coauthors = coauthors;
}
}

View File

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

View File

@ -1,437 +0,0 @@
package eu.dnetlib.dhp.actionmanager.personentity;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import static org.apache.spark.sql.functions.*;
import java.io.IOException;
import java.io.Serializable;
import java.util.*;
import java.util.stream.Collectors;
import org.apache.commons.cli.ParseException;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.BZip2Codec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.*;
import org.apache.spark.sql.*;
import org.jetbrains.annotations.NotNull;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.spark_project.jetty.util.StringUtil;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.collection.orcid.model.Author;
import eu.dnetlib.dhp.collection.orcid.model.Employment;
import eu.dnetlib.dhp.collection.orcid.model.Work;
import eu.dnetlib.dhp.common.HdfsSupport;
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.KeyValue;
import eu.dnetlib.dhp.schema.oaf.Person;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import eu.dnetlib.dhp.schema.oaf.utils.PidCleaner;
import eu.dnetlib.dhp.schema.oaf.utils.PidType;
import eu.dnetlib.dhp.utils.DHPUtils;
import scala.Tuple2;
public class ExtractPerson implements Serializable {
private static final Logger log = LoggerFactory.getLogger(ExtractPerson.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static final String OPENAIRE_PREFIX = "openaire____";
private static final String SEPARATOR = "::";
private static final String orcidKey = "10|" + OPENAIRE_PREFIX + SEPARATOR
+ DHPUtils.md5(ModelConstants.ORCID.toLowerCase());
private static final String DOI_PREFIX = "50|doi_________::";
private static final String PMID_PREFIX = "50|pmid________::";
private static final String ARXIV_PREFIX = "50|arXiv_______::";
private static final String PMCID_PREFIX = "50|pmcid_______::";
private static final String ROR_PREFIX = "20|ror_________::";
private static final String PERSON_PREFIX = ModelSupport.getIdPrefix(Person.class) + "|orcid_______";
public static final String ORCID_AUTHORS_CLASSID = "sysimport:crosswalk:orcid";
public static final String ORCID_AUTHORS_CLASSNAME = "Imported from ORCID";
public static void main(final String[] args) throws IOException, ParseException {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
Objects
.requireNonNull(
ExtractPerson.class
.getResourceAsStream(
"/eu/dnetlib/dhp/actionmanager/personentity/as_parameters.json"))));
parser.parseArgument(args);
Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String inputPath = parser.get("inputPath");
log.info("inputPath {}", inputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath {}", outputPath);
final String workingDir = parser.get("workingDir");
log.info("workingDir {}", workingDir);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
HdfsSupport.remove(outputPath, spark.sparkContext().hadoopConfiguration());
createActionSet(spark, inputPath, outputPath, workingDir);
});
}
private static void createActionSet(SparkSession spark, String inputPath, String outputPath, String workingDir) {
Dataset<Author> authors = spark
.read()
.parquet(inputPath + "Authors")
.as(Encoders.bean(Author.class));
Dataset<Work> works = spark
.read()
.parquet(inputPath + "Works")
.as(Encoders.bean(Work.class))
.filter(
(FilterFunction<Work>) w -> Optional.ofNullable(w.getPids()).isPresent() &&
w
.getPids()
.stream()
.anyMatch(
p -> p.getSchema().equalsIgnoreCase("doi") ||
p.getSchema().equalsIgnoreCase("pmc") ||
p.getSchema().equalsIgnoreCase("pmid") ||
p.getSchema().equalsIgnoreCase("arxiv")));
Dataset<Employment> employmentDataset = spark
.read()
.parquet(inputPath + "Employments")
.as(Encoders.bean(Employment.class));
Dataset<Author> peopleToMap = authors
.joinWith(works, authors.col("orcid").equalTo(works.col("orcid")))
.map((MapFunction<Tuple2<Author, Work>, Author>) t2 -> t2._1(), Encoders.bean(Author.class))
.groupByKey((MapFunction<Author, String>) a -> a.getOrcid(), Encoders.STRING())
.mapGroups((MapGroupsFunction<String, Author, Author>) (k, it) -> it.next(), Encoders.bean(Author.class));
Dataset<Employment> employment = employmentDataset
.joinWith(peopleToMap, employmentDataset.col("orcid").equalTo(peopleToMap.col("orcid")))
.map((MapFunction<Tuple2<Employment, Author>, Employment>) t2 -> t2._1(), Encoders.bean(Employment.class));
Dataset<Person> people;
peopleToMap.map((MapFunction<Author, Person>) op -> {
Person person = new Person();
person.setId(DHPUtils.generateIdentifier(op.getOrcid(), PERSON_PREFIX));
person
.setBiography(
Optional
.ofNullable(op.getBiography())
.orElse(""));
KeyValue kv = OafMapperUtils.keyValue(orcidKey, ModelConstants.ORCID_DS);
kv.setDataInfo(null);
person.setCollectedfrom(Arrays.asList(kv));
person
.setAlternativeNames(
Optional
.ofNullable(op.getOtherNames())
.orElse(new ArrayList<>()));
person
.setFamilyName(
Optional
.ofNullable(op.getFamilyName())
.orElse(""));
person
.setGivenName(
Optional
.ofNullable(op.getGivenName())
.orElse(""));
person
.setPid(
Optional
.ofNullable(op.getOtherPids())
.map(
v -> v
.stream()
.map(
p -> OafMapperUtils
.structuredProperty(
p.getValue(), p.getSchema(), p.getSchema(), ModelConstants.DNET_PID_TYPES,
ModelConstants.DNET_PID_TYPES, null))
.collect(Collectors.toList()))
.orElse(new ArrayList<>()));
person
.getPid()
.add(
OafMapperUtils
.structuredProperty(
op.getOrcid(), ModelConstants.ORCID, ModelConstants.ORCID_CLASSNAME,
ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES, null));
person.setDateofcollection(op.getLastModifiedDate());
person.setOriginalId(Arrays.asList(op.getOrcid()));
return person;
}, Encoders.bean(Person.class))
.write()
.option("compression", "gzip")
.mode(SaveMode.Overwrite)
.json(workingDir + "/people");
works
.flatMap(
(FlatMapFunction<Work, Relation>) ExtractPerson::getAuthorshipRelationIterator,
Encoders.bean(Relation.class))
.write()
.option("compression", "gzip")
.mode(SaveMode.Overwrite)
.json(workingDir + "/authorship");
Dataset<Relation> coauthorship = works
.flatMap((FlatMapFunction<Work, Tuple2<String, String>>) w -> {
List<Tuple2<String, String>> lista = new ArrayList<>();
w.getPids().stream().forEach(p -> {
if (p.getSchema().equalsIgnoreCase("doi") || p.getSchema().equalsIgnoreCase("pmc")
|| p.getSchema().equalsIgnoreCase("pmid") || p.getSchema().equalsIgnoreCase("arxiv"))
lista.add(new Tuple2<>(p.getValue(), w.getOrcid()));
});
return lista.iterator();
}, Encoders.tuple(Encoders.STRING(), Encoders.STRING()))
.groupByKey((MapFunction<Tuple2<String, String>, String>) Tuple2::_1, Encoders.STRING())
.mapGroups(
(MapGroupsFunction<String, Tuple2<String, String>, Coauthors>) (k, it) -> extractCoAuthors(it),
Encoders.bean(Coauthors.class))
.flatMap(
(FlatMapFunction<Coauthors, Relation>) c -> new CoAuthorshipIterator(c.getCoauthors()),
Encoders.bean(Relation.class))
.groupByKey((MapFunction<Relation, String>) r -> r.getSource() + r.getTarget(), Encoders.STRING())
.mapGroups(
(MapGroupsFunction<String, Relation, Relation>) (k, it) -> it.next(), Encoders.bean(Relation.class));
coauthorship
.write()
.option("compression", "gzip")
.mode(SaveMode.Overwrite)
.json(workingDir + "/coauthorship");
employment
.filter((FilterFunction<Employment>) e -> Optional.ofNullable(e.getAffiliationId()).isPresent())
.filter((FilterFunction<Employment>) e -> e.getAffiliationId().getSchema().equalsIgnoreCase("ror"))
.map(
(MapFunction<Employment, Relation>) ExtractPerson::getAffiliationRelation,
Encoders.bean(Relation.class))
.write()
.option("compression", "gzip")
.mode(SaveMode.Overwrite)
.json(workingDir + "/affiliation");
people = spark
.read()
.textFile(workingDir + "/people")
.map(
(MapFunction<String, Person>) value -> OBJECT_MAPPER
.readValue(value, Person.class),
Encoders.bean(Person.class));
people.show(false);
people
.toJavaRDD()
.map(p -> new AtomicAction(p.getClass(), p))
.union(
getRelations(spark, workingDir + "/authorship").toJavaRDD().map(r -> new AtomicAction(r.getClass(), r)))
.union(
getRelations(spark, workingDir + "/coauthorship")
.toJavaRDD()
.map(r -> new AtomicAction(r.getClass(), r)))
.union(
getRelations(spark, workingDir + "/affiliation")
.toJavaRDD()
.map(r -> new AtomicAction(r.getClass(), r)))
.mapToPair(
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
new Text(OBJECT_MAPPER.writeValueAsString(aa))))
.saveAsHadoopFile(
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, BZip2Codec.class);
}
private static Dataset<Relation> getRelations(SparkSession spark, String path) {
return spark
.read()
.textFile(path)
.map(
(MapFunction<String, Relation>) value -> OBJECT_MAPPER
.readValue(value, Relation.class),
Encoders.bean(Relation.class));// spark.read().json(path).as(Encoders.bean(Relation.class));
}
private static Coauthors extractCoAuthors(Iterator<Tuple2<String, String>> it) {
Coauthors coauth = new Coauthors();
List<String> coauthors = new ArrayList<>();
while (it.hasNext())
coauthors.add(it.next()._2());
coauth.setCoauthors(coauthors);
return coauth;
}
private static Relation getAffiliationRelation(Employment row) {
String source = PERSON_PREFIX + IdentifierFactory.md5(row.getOrcid());
String target = ROR_PREFIX
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("ROR", row.getAffiliationId().getValue()));
List<KeyValue> properties = new ArrayList<>();
Relation relation = OafMapperUtils
.getRelation(
source, target, ModelConstants.ORG_PERSON_RELTYPE, ModelConstants.ORG_PERSON_SUBRELTYPE,
ModelConstants.ORG_PERSON_PARTICIPATES,
Arrays.asList(OafMapperUtils.keyValue(orcidKey, ModelConstants.ORCID_DS)),
OafMapperUtils
.dataInfo(
false, null, false, false,
OafMapperUtils
.qualifier(
ORCID_AUTHORS_CLASSID, ORCID_AUTHORS_CLASSNAME, ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
"0.91"),
null);
if (Optional.ofNullable(row.getStartDate()).isPresent() && StringUtil.isNotBlank(row.getStartDate())) {
KeyValue kv = new KeyValue();
kv.setKey("startDate");
kv.setValue(row.getStartDate());
properties.add(kv);
}
if (Optional.ofNullable(row.getEndDate()).isPresent() && StringUtil.isNotBlank(row.getEndDate())) {
KeyValue kv = new KeyValue();
kv.setKey("endDate");
kv.setValue(row.getEndDate());
properties.add(kv);
}
if (properties.size() > 0)
relation.setProperties(properties);
return relation;
}
private static Collection<? extends Relation> getCoAuthorshipRelations(String orcid1, String orcid2) {
String source = PERSON_PREFIX + "::" + IdentifierFactory.md5(orcid1);
String target = PERSON_PREFIX + "::" + IdentifierFactory.md5(orcid2);
return Arrays
.asList(
OafMapperUtils
.getRelation(
source, target, ModelConstants.PERSON_PERSON_RELTYPE,
ModelConstants.PERSON_PERSON_SUBRELTYPE,
ModelConstants.PERSON_PERSON_HASCOAUTHORED,
Arrays.asList(OafMapperUtils.keyValue(orcidKey, ModelConstants.ORCID_DS)),
OafMapperUtils
.dataInfo(
false, null, false, false,
OafMapperUtils
.qualifier(
ORCID_AUTHORS_CLASSID, ORCID_AUTHORS_CLASSNAME,
ModelConstants.DNET_PROVENANCE_ACTIONS, ModelConstants.DNET_PROVENANCE_ACTIONS),
"0.91"),
null),
OafMapperUtils
.getRelation(
target, source, ModelConstants.PERSON_PERSON_RELTYPE,
ModelConstants.PERSON_PERSON_SUBRELTYPE,
ModelConstants.PERSON_PERSON_HASCOAUTHORED,
Arrays.asList(OafMapperUtils.keyValue(orcidKey, ModelConstants.ORCID_DS)),
OafMapperUtils
.dataInfo(
false, null, false, false,
OafMapperUtils
.qualifier(
ORCID_AUTHORS_CLASSID, ORCID_AUTHORS_CLASSNAME,
ModelConstants.DNET_PROVENANCE_ACTIONS, ModelConstants.DNET_PROVENANCE_ACTIONS),
"0.91"),
null));
}
private static @NotNull Iterator<Relation> getAuthorshipRelationIterator(Work w) {
if (Optional.ofNullable(w.getPids()).isPresent())
return w
.getPids()
.stream()
.map(pid -> getRelation(w.getOrcid(), pid))
.filter(Objects::nonNull)
.collect(Collectors.toList())
.iterator();
List<Relation> ret = new ArrayList<>();
return ret.iterator();
}
private static Relation getRelation(String orcid, eu.dnetlib.dhp.collection.orcid.model.Pid pid) {
String target;
String source = PERSON_PREFIX + "::" + IdentifierFactory.md5(orcid);
switch (pid.getSchema()) {
case "doi":
target = DOI_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.doi.toString(), pid.getValue()));
break;
case "pmid":
target = PMID_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.pmid.toString(), pid.getValue()));
break;
case "arxiv":
target = ARXIV_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.arXiv.toString(), pid.getValue()));
break;
case "pmcid":
target = PMCID_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.pmc.toString(), pid.getValue()));
break;
default:
return null;
}
return OafMapperUtils
.getRelation(
source, target, ModelConstants.RESULT_PERSON_RELTYPE,
ModelConstants.RESULT_PERSON_SUBRELTYPE,
ModelConstants.RESULT_PERSON_HASAUTHORED,
Arrays.asList(OafMapperUtils.keyValue(orcidKey, ModelConstants.ORCID_DS)),
OafMapperUtils
.dataInfo(
false, null, false, false,
OafMapperUtils
.qualifier(
ORCID_AUTHORS_CLASSID, ORCID_AUTHORS_CLASSNAME, ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
"0.91"),
null);
}
}

View File

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

View File

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

View File

@ -5,10 +5,11 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;
import java.util.*;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.BZip2Codec;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
@ -29,6 +30,7 @@ import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import eu.dnetlib.dhp.schema.oaf.utils.PidCleaner;
import eu.dnetlib.dhp.schema.oaf.utils.PidType;
import io.netty.util.Constant;
import scala.Tuple2;
/**
@ -103,6 +105,8 @@ public class CreateActionSetFromWebEntries implements Serializable {
final String ror = ROR_PREFIX
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("ROR", row.getAs("ror")));
ret.addAll(createAffiliationRelationPairDOI(row.getAs("doi"), ror));
// ret.addAll(createAffiliationRelationPairPMID(row.getAs("pmid"), ror));
// ret.addAll(createAffiliationRelationPairPMCID(row.getAs("pmcid"), ror));
return ret
.iterator();
@ -112,7 +116,7 @@ public class CreateActionSetFromWebEntries implements Serializable {
.mapToPair(
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
new Text(OBJECT_MAPPER.writeValueAsString(aa))))
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, BZip2Codec.class);
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
}
@ -142,13 +146,19 @@ public class CreateActionSetFromWebEntries implements Serializable {
"institution.country_code as country_code", "publication_year")
.distinct();
// .selectExpr(
// "id", "doi", "ids.pmcid as pmcid", "ids.pmid as pmid", "institution.ror as ror",
// "institution.country_code as country_code", "publication_year")
// .distinct();
}
private static Dataset<Row> readBlackList(SparkSession spark, String inputPath) {
return spark
.read()
.json(inputPath)
.option("header", true)
.csv(inputPath)
.select("OpenAlexId");
}

View File

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

View File

@ -22,11 +22,9 @@ import eu.dnetlib.dhp.collection.plugin.CollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.base.BaseCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.file.FileCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.file.FileGZipCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.gtr2.Gtr2PublicationsCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.mongodb.MDStoreCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.mongodb.MongoDbDumpCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.oai.OaiCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.osf.OsfPreprintsCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.rest.RestCollectorPlugin;
import eu.dnetlib.dhp.common.aggregation.AggregatorReport;
import eu.dnetlib.dhp.common.collection.CollectorException;
@ -60,7 +58,7 @@ public class CollectorWorker extends ReportingJob {
public void collect() throws UnknownCollectorPluginException, CollectorException, IOException {
final String outputPath = this.mdStoreVersion.getHdfsPath() + SEQUENCE_FILE_NAME;
final String outputPath = mdStoreVersion.getHdfsPath() + SEQUENCE_FILE_NAME;
log.info("outputPath path is {}", outputPath);
final CollectorPlugin plugin = getCollectorPlugin();
@ -70,36 +68,36 @@ public class CollectorWorker extends ReportingJob {
try (SequenceFile.Writer writer = SequenceFile
.createWriter(
this.fileSystem.getConf(), SequenceFile.Writer.file(new Path(outputPath)), SequenceFile.Writer
.keyClass(IntWritable.class),
SequenceFile.Writer
.valueClass(Text.class),
fileSystem.getConf(),
SequenceFile.Writer.file(new Path(outputPath)),
SequenceFile.Writer.keyClass(IntWritable.class),
SequenceFile.Writer.valueClass(Text.class),
SequenceFile.Writer.compression(SequenceFile.CompressionType.BLOCK, new DeflateCodec()))) {
final IntWritable key = new IntWritable(counter.get());
final Text value = new Text();
plugin
.collect(this.api, this.report)
.forEach(content -> {
key.set(counter.getAndIncrement());
value.set(content);
try {
writer.append(key, value);
} catch (final Throwable e) {
throw new RuntimeException(e);
}
});
} catch (final Throwable e) {
this.report.put(e.getClass().getName(), e.getMessage());
.collect(api, report)
.forEach(
content -> {
key.set(counter.getAndIncrement());
value.set(content);
try {
writer.append(key, value);
} catch (Throwable e) {
throw new RuntimeException(e);
}
});
} catch (Throwable e) {
report.put(e.getClass().getName(), e.getMessage());
throw new CollectorException(e);
} finally {
shutdown();
this.report.ongoing(counter.longValue(), counter.longValue());
report.ongoing(counter.longValue(), counter.longValue());
}
}
private void scheduleReport(final AtomicInteger counter) {
private void scheduleReport(AtomicInteger counter) {
schedule(new ReporterCallback() {
@Override
public Long getCurrent() {
return counter.longValue();
@ -114,37 +112,33 @@ public class CollectorWorker extends ReportingJob {
private CollectorPlugin getCollectorPlugin() throws UnknownCollectorPluginException {
switch (CollectorPlugin.NAME.valueOf(this.api.getProtocol())) {
switch (CollectorPlugin.NAME.valueOf(api.getProtocol())) {
case oai:
return new OaiCollectorPlugin(this.clientParams);
return new OaiCollectorPlugin(clientParams);
case rest_json2xml:
return new RestCollectorPlugin(this.clientParams);
return new RestCollectorPlugin(clientParams);
case file:
return new FileCollectorPlugin(this.fileSystem);
return new FileCollectorPlugin(fileSystem);
case fileGzip:
return new FileGZipCollectorPlugin(this.fileSystem);
return new FileGZipCollectorPlugin(fileSystem);
case baseDump:
return new BaseCollectorPlugin(this.fileSystem);
case gtr2Publications:
return new Gtr2PublicationsCollectorPlugin(this.clientParams);
case osfPreprints:
return new OsfPreprintsCollectorPlugin(this.clientParams);
case other:
final CollectorPlugin.NAME.OTHER_NAME plugin = Optional
.ofNullable(this.api.getParams().get("other_plugin_type"))
.ofNullable(api.getParams().get("other_plugin_type"))
.map(CollectorPlugin.NAME.OTHER_NAME::valueOf)
.orElseThrow(() -> new IllegalArgumentException("invalid other_plugin_type"));
switch (plugin) {
case mdstore_mongodb_dump:
return new MongoDbDumpCollectorPlugin(this.fileSystem);
return new MongoDbDumpCollectorPlugin(fileSystem);
case mdstore_mongodb:
return new MDStoreCollectorPlugin();
default:
throw new UnknownCollectorPluginException("plugin is not managed: " + plugin);
}
default:
throw new UnknownCollectorPluginException("protocol is not managed: " + this.api.getProtocol());
throw new UnknownCollectorPluginException("protocol is not managed: " + api.getProtocol());
}
}

View File

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

View File

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

View File

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

View File

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

View File

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

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@ -1,215 +0,0 @@
package eu.dnetlib.dhp.collection.plugin.gtr2;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.Iterator;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import java.util.Queue;
import java.util.function.Function;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.lang3.math.NumberUtils;
import org.dom4j.Document;
import org.dom4j.DocumentException;
import org.dom4j.DocumentHelper;
import org.dom4j.Element;
import org.joda.time.DateTime;
import org.joda.time.format.DateTimeFormat;
import org.joda.time.format.DateTimeFormatter;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.common.collection.CollectorException;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
import eu.dnetlib.dhp.common.collection.HttpConnector2;
public class Gtr2PublicationsIterator implements Iterator<String> {
public static final int PAGE_SIZE = 20;
private static final Logger log = LoggerFactory.getLogger(Gtr2PublicationsIterator.class);
private final HttpConnector2 connector;
private static final DateTimeFormatter simpleDateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd");
private static final int MAX_ATTEMPTS = 10;
private final String baseUrl;
private int currPage;
private int endPage;
private boolean incremental = false;
private DateTime fromDate;
private final Map<String, String> cache = new HashMap<>();
private final Queue<String> queue = new LinkedList<>();
private String nextElement;
public Gtr2PublicationsIterator(final String baseUrl, final String fromDate, final String startPage,
final String endPage,
final HttpClientParams clientParams)
throws CollectorException {
this.baseUrl = baseUrl;
this.currPage = NumberUtils.toInt(startPage, 1);
this.endPage = NumberUtils.toInt(endPage, Integer.MAX_VALUE);
this.incremental = StringUtils.isNotBlank(fromDate);
this.connector = new HttpConnector2(clientParams);
if (this.incremental) {
this.fromDate = parseDate(fromDate);
}
prepareNextElement();
}
@Override
public boolean hasNext() {
return this.nextElement != null;
}
@Override
public String next() {
try {
return this.nextElement;
} finally {
prepareNextElement();
}
}
@Override
public void remove() {
throw new UnsupportedOperationException();
}
private void prepareNextElement() {
while ((this.currPage <= this.endPage) && this.queue.isEmpty()) {
log.debug("FETCHING PAGE + " + this.currPage + "/" + this.endPage);
this.queue.addAll(fetchPage(this.currPage++));
}
this.nextElement = this.queue.poll();
}
private List<String> fetchPage(final int pageNumber) {
final List<String> res = new ArrayList<>();
try {
final Document doc = loadURL(cleanURL(this.baseUrl + "/outcomes/publications?p=" + pageNumber), 0);
if (this.endPage == Integer.MAX_VALUE) {
this.endPage = NumberUtils.toInt(doc.valueOf("/*/@*[local-name() = 'totalPages']"));
}
for (final Object po : doc.selectNodes("//*[local-name() = 'publication']")) {
final Element mainEntity = (Element) ((Element) po).detach();
if (filterIncremental(mainEntity)) {
res.add(expandMainEntity(mainEntity));
} else {
log.debug("Skipped entity");
}
}
} catch (final Throwable e) {
log.error("Exception fetching page " + pageNumber, e);
throw new RuntimeException("Exception fetching page " + pageNumber, e);
}
return res;
}
private void addLinkedEntities(final Element master, final String relType, final Element newRoot,
final Function<Document, Element> mapper) {
for (final Object o : master.selectNodes(".//*[local-name()='link']")) {
final String rel = ((Element) o).valueOf("@*[local-name()='rel']");
final String href = ((Element) o).valueOf("@*[local-name()='href']");
if (relType.equals(rel) && StringUtils.isNotBlank(href)) {
final String cacheKey = relType + "#" + href;
if (this.cache.containsKey(cacheKey)) {
try {
log.debug(" * from cache (" + relType + "): " + href);
newRoot.add(DocumentHelper.parseText(this.cache.get(cacheKey)).getRootElement());
} catch (final DocumentException e) {
log.error("Error retrieving cache element: " + cacheKey, e);
throw new RuntimeException("Error retrieving cache element: " + cacheKey, e);
}
} else {
final Document doc = loadURL(cleanURL(href), 0);
final Element elem = mapper.apply(doc);
newRoot.add(elem);
this.cache.put(cacheKey, elem.asXML());
}
}
}
}
private boolean filterIncremental(final Element e) {
if (!this.incremental || isAfter(e.valueOf("@*[local-name() = 'created']"), this.fromDate)
|| isAfter(e.valueOf("@*[local-name() = 'updated']"), this.fromDate)) {
return true;
}
return false;
}
private String expandMainEntity(final Element mainEntity) {
final Element newRoot = DocumentHelper.createElement("doc");
newRoot.add(mainEntity);
addLinkedEntities(mainEntity, "PROJECT", newRoot, this::asProjectElement);
return DocumentHelper.createDocument(newRoot).asXML();
}
private Element asProjectElement(final Document doc) {
final Element newOrg = DocumentHelper.createElement("project");
newOrg.addElement("id").setText(doc.valueOf("/*/@*[local-name()='id']"));
newOrg
.addElement("code")
.setText(doc.valueOf("//*[local-name()='identifier' and @*[local-name()='type'] = 'RCUK']"));
newOrg.addElement("title").setText(doc.valueOf("//*[local-name()='title']"));
return newOrg;
}
private static String cleanURL(final String url) {
String cleaned = url;
if (cleaned.contains("gtr.gtr")) {
cleaned = cleaned.replace("gtr.gtr", "gtr");
}
if (cleaned.startsWith("http://")) {
cleaned = cleaned.replaceFirst("http://", "https://");
}
return cleaned;
}
private Document loadURL(final String cleanUrl, final int attempt) {
try {
log.debug(" * Downloading Url: " + cleanUrl);
final byte[] bytes = this.connector.getInputSource(cleanUrl).getBytes("UTF-8");
return DocumentHelper.parseText(new String(bytes));
} catch (final Throwable e) {
log.error("Error dowloading url: " + cleanUrl + ", attempt = " + attempt, e);
if (attempt >= MAX_ATTEMPTS) {
throw new RuntimeException("Error dowloading url: " + cleanUrl, e);
}
try {
Thread.sleep(60000); // I wait for a minute
} catch (final InterruptedException e1) {
throw new RuntimeException("Error dowloading url: " + cleanUrl, e);
}
return loadURL(cleanUrl, attempt + 1);
}
}
private DateTime parseDate(final String s) {
return DateTime.parse(s.contains("T") ? s.substring(0, s.indexOf("T")) : s, simpleDateTimeFormatter);
}
private boolean isAfter(final String d, final DateTime fromDate) {
return StringUtils.isNotBlank(d) && parseDate(d).isAfter(fromDate);
}
}

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

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

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

View File

@ -1,117 +0,0 @@
package eu.dnetlib.dhp.collection.plugin.researchfi;
import java.util.Iterator;
import java.util.Queue;
import java.util.concurrent.PriorityBlockingQueue;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.math.NumberUtils;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.http.Header;
import org.apache.http.client.methods.CloseableHttpResponse;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClients;
import org.json.JSONArray;
import eu.dnetlib.dhp.collection.plugin.utils.JsonUtils;
import eu.dnetlib.dhp.common.collection.CollectorException;
public class ResearchFiIterator implements Iterator<String> {
private static final Log log = LogFactory.getLog(ResearchFiIterator.class);
private static final int PAGE_SIZE = 100;
private final String baseUrl;
private final String authToken;
private int currPage;
private int nPages;
private final Queue<String> queue = new PriorityBlockingQueue<>();
public ResearchFiIterator(final String baseUrl, final String authToken) {
this.baseUrl = baseUrl;
this.authToken = authToken;
this.currPage = 0;
this.nPages = 0;
}
private void verifyStarted() {
if (this.currPage == 0) {
try {
nextCall();
} catch (final CollectorException e) {
throw new IllegalStateException(e);
}
}
}
@Override
public boolean hasNext() {
synchronized (this.queue) {
verifyStarted();
return !this.queue.isEmpty();
}
}
@Override
public String next() {
synchronized (this.queue) {
verifyStarted();
final String res = this.queue.poll();
while (this.queue.isEmpty() && (this.currPage < this.nPages)) {
try {
nextCall();
} catch (final CollectorException e) {
throw new IllegalStateException(e);
}
}
return res;
}
}
private void nextCall() throws CollectorException {
this.currPage += 1;
final String url;
if (!this.baseUrl.contains("?")) {
url = String.format("%s?PageNumber=%d&PageSize=%d", this.baseUrl, this.currPage, PAGE_SIZE);
} else if (!this.baseUrl.contains("PageSize=")) {
url = String.format("%s&PageNumber=%d&PageSize=%d", this.baseUrl, this.currPage, PAGE_SIZE);
} else {
url = String.format("%s&PageNumber=%d", this.baseUrl, this.currPage);
}
log.info("Calling url: " + url);
try (final CloseableHttpClient client = HttpClients.createDefault()) {
final HttpGet req = new HttpGet(url);
req.addHeader("Authorization", "Bearer " + this.authToken);
try (final CloseableHttpResponse response = client.execute(req)) {
for (final Header header : response.getAllHeaders()) {
log.debug("HEADER: " + header.getName() + " = " + header.getValue());
if ("x-page-count".equals(header.getName())) {
final int totalPages = NumberUtils.toInt(header.getValue());
if (this.nPages != totalPages) {
this.nPages = NumberUtils.toInt(header.getValue());
log.info("Total pages: " + totalPages);
}
}
}
final String content = IOUtils.toString(response.getEntity().getContent());
final JSONArray jsonArray = new JSONArray(content);
jsonArray.forEach(obj -> this.queue.add(JsonUtils.convertToXML(obj.toString())));
}
} catch (final Throwable e) {
log.warn("Error calling url: " + url, e);
throw new CollectorException("Error calling url: " + url, e);
}
}
}

View File

@ -12,8 +12,6 @@ import java.util.Iterator;
import java.util.Map;
import java.util.Queue;
import java.util.concurrent.PriorityBlockingQueue;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import javax.xml.transform.OutputKeys;
import javax.xml.transform.Transformer;
@ -21,10 +19,16 @@ import javax.xml.transform.TransformerConfigurationException;
import javax.xml.transform.TransformerFactory;
import javax.xml.transform.dom.DOMSource;
import javax.xml.transform.stream.StreamResult;
import javax.xml.xpath.*;
import javax.xml.xpath.XPath;
import javax.xml.xpath.XPathConstants;
import javax.xml.xpath.XPathExpression;
import javax.xml.xpath.XPathExpressionException;
import javax.xml.xpath.XPathFactory;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.http.HttpHeaders;
import org.apache.http.entity.ContentType;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.w3c.dom.Node;
@ -47,6 +51,7 @@ import eu.dnetlib.dhp.common.collection.HttpClientParams;
*
*/
public class RestIterator implements Iterator<String> {
private static final Logger log = LoggerFactory.getLogger(RestIterator.class);
public static final String UTF_8 = "UTF-8";
private static final int MAX_ATTEMPTS = 5;
@ -55,15 +60,11 @@ public class RestIterator implements Iterator<String> {
private final String AUTHBASIC = "basic";
private static final String XML_HEADER = "<?xml version=\"1.0\" encoding=\"UTF-8\"?>";
private static final String EMPTY_XML = XML_HEADER + "<" + JsonUtils.XML_WRAP_TAG + "></" + JsonUtils.XML_WRAP_TAG
+ ">";
private final String baseUrl;
private final String resumptionType;
private final String resumptionParam;
private final String resultFormatValue;
private String queryParams = "";
private String queryParams;
private final int resultSizeValue;
private int resumptionInt = 0; // integer resumption token (first record to harvest)
private int resultTotal = -1;
@ -157,12 +158,7 @@ public class RestIterator implements Iterator<String> {
}
private void initQueue() {
if (queryParams.equals("") && querySize.equals("") && queryFormat.equals("")) {
query = baseUrl;
} else {
query = baseUrl + "?" + queryParams + querySize + queryFormat;
}
this.query = this.baseUrl + "?" + this.queryParams + this.querySize + this.queryFormat;
log.info("REST calls starting with {}", this.query);
}
@ -176,23 +172,11 @@ public class RestIterator implements Iterator<String> {
*/
@Override
public boolean hasNext() {
synchronized (this.recordQueue) {
while (this.recordQueue.isEmpty() && !this.query.isEmpty()) {
try {
this.query = downloadPage(this.query, 0);
} catch (final CollectorException e) {
log.debug("CollectorPlugin.next()-Exception: {}", e);
throw new RuntimeException(e);
}
}
if (!this.recordQueue.isEmpty()) {
return true;
}
if (this.recordQueue.isEmpty() && this.query.isEmpty()) {
disconnect();
return false;
}
return true;
}
/*
@ -202,6 +186,14 @@ public class RestIterator implements Iterator<String> {
@Override
public String next() {
synchronized (this.recordQueue) {
while (this.recordQueue.isEmpty() && !this.query.isEmpty()) {
try {
this.query = downloadPage(this.query, 0);
} catch (final CollectorException e) {
log.debug("CollectorPlugin.next()-Exception: {}", e);
throw new RuntimeException(e);
}
}
return this.recordQueue.poll();
}
}
@ -227,8 +219,9 @@ public class RestIterator implements Iterator<String> {
try {
String resultJson;
String resultXml = XML_HEADER;
String resultXml = "<?xml version=\"1.0\" encoding=\"UTF-8\"?>";
String nextQuery = "";
final String emptyXml = resultXml + "<" + JsonUtils.XML_WRAP_TAG + "></" + JsonUtils.XML_WRAP_TAG + ">";
Node resultNode = null;
NodeList nodeList = null;
String qUrlArgument = "";
@ -243,22 +236,6 @@ public class RestIterator implements Iterator<String> {
}
}
// find pagination page start number in queryParam and remove before start the first query
if ((resumptionType.toLowerCase().equals("pagination") || resumptionType.toLowerCase().equals("page"))
&& (query.contains("paginationStart="))) {
final Matcher m = Pattern.compile("paginationStart=([0-9]+)").matcher(query);
m.find(); // guaranteed to be true for this regex
String[] pageVal = m.group(0).split("=");
pagination = Integer.parseInt(pageVal[1]);
// remove page start number from query and queryParams
queryParams = queryParams.replaceFirst("&?paginationStart=[0-9]+", "");
query = query.replaceFirst("&?paginationStart=[0-9]+", "");
}
try {
log.info("requesting URL [{}]", query);
@ -284,7 +261,7 @@ public class RestIterator implements Iterator<String> {
this.resultStream = IOUtils.toInputStream(resultXml, UTF_8);
}
if (!isEmptyXml(resultXml)) {
if (!(emptyXml).equalsIgnoreCase(resultXml)) {
resultNode = (Node) this.xpath
.evaluate("/", new InputSource(this.resultStream), XPathConstants.NODE);
nodeList = (NodeList) this.xprEntity.evaluate(resultNode, XPathConstants.NODESET);
@ -293,7 +270,8 @@ public class RestIterator implements Iterator<String> {
final StringWriter sw = new StringWriter();
this.transformer.transform(new DOMSource(nodeList.item(i)), new StreamResult(sw));
final String toEnqueue = sw.toString();
if ((toEnqueue == null) || StringUtils.isBlank(toEnqueue) || isEmptyXml(toEnqueue)) {
if ((toEnqueue == null) || StringUtils.isBlank(toEnqueue)
|| emptyXml.equalsIgnoreCase(toEnqueue)) {
log
.warn(
"The following record resulted in empty item for the feeding queue: {}", resultXml);
@ -321,7 +299,6 @@ public class RestIterator implements Iterator<String> {
throw new CollectorException("Mode: discover, Param 'resultSizeValue' is less than 2");
}
qUrlArgument = qUrl.getQuery();
final String[] arrayQUrlArgument = qUrlArgument.split("&");
for (final String arrayUrlArgStr : arrayQUrlArgument) {
if (arrayUrlArgStr.startsWith(this.resumptionParam)) {
@ -335,7 +312,7 @@ public class RestIterator implements Iterator<String> {
}
}
if (isEmptyXml(resultXml)
if (((emptyXml).equalsIgnoreCase(resultXml))
|| ((nodeList != null) && (nodeList.getLength() < this.resultSizeValue))) {
// resumptionStr = "";
if (nodeList != null) {
@ -354,13 +331,13 @@ public class RestIterator implements Iterator<String> {
case "pagination":
case "page": // pagination, iterate over page numbers
if (nodeList != null && nodeList.getLength() > 0) {
this.pagination += 1;
if (nodeList != null) {
this.discoverResultSize += nodeList.getLength();
} else {
this.resultTotal = this.discoverResultSize;
this.pagination = this.discoverResultSize;
}
this.pagination += 1;
this.resumptionInt = this.pagination;
this.resumptionStr = Integer.toString(this.resumptionInt);
break;
@ -438,10 +415,6 @@ public class RestIterator implements Iterator<String> {
}
private boolean isEmptyXml(String s) {
return EMPTY_XML.equalsIgnoreCase(s);
}
private boolean isInteger(final String s) {
boolean isValidInteger = false;
try {

View File

@ -8,10 +8,7 @@ import java.io.StringWriter;
import java.nio.charset.Charset;
import java.nio.charset.CharsetDecoder;
import java.nio.charset.CodingErrorAction;
import java.util.Arrays;
import java.util.Iterator;
import java.util.List;
import java.util.stream.Collectors;
import javax.xml.stream.XMLEventFactory;
import javax.xml.stream.XMLEventReader;
@ -22,7 +19,6 @@ import javax.xml.stream.XMLStreamException;
import javax.xml.stream.events.StartElement;
import javax.xml.stream.events.XMLEvent;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
@ -62,23 +58,13 @@ public class XMLIterator implements Iterator<String> {
private String element;
private List<String> elements;
private InputStream inputStream;
public XMLIterator(final String element, final InputStream inputStream) {
super();
this.element = element;
if (element.contains(",")) {
elements = Arrays
.stream(element.split(","))
.filter(StringUtils::isNoneBlank)
.map(String::toLowerCase)
.collect(Collectors.toList());
}
this.inputStream = inputStream;
this.parser = getParser();
try {
this.current = findElement(parser);
} catch (XMLStreamException e) {
@ -127,7 +113,7 @@ public class XMLIterator implements Iterator<String> {
final XMLEvent event = parser.nextEvent();
// TODO: replace with depth tracking instead of close tag tracking.
if (event.isEndElement() && isCheckTag(event.asEndElement().getName().getLocalPart())) {
if (event.isEndElement() && event.asEndElement().getName().getLocalPart().equals(element)) {
writer.add(event);
break;
}
@ -156,16 +142,18 @@ public class XMLIterator implements Iterator<String> {
XMLEvent peek = parser.peek();
if (peek != null && peek.isStartElement()) {
String name = peek.asStartElement().getName().getLocalPart();
if (isCheckTag(name))
if (element.equals(name)) {
return peek;
}
}
while (parser.hasNext()) {
XMLEvent event = parser.nextEvent();
final XMLEvent event = parser.nextEvent();
if (event != null && event.isStartElement()) {
String name = event.asStartElement().getName().getLocalPart();
if (isCheckTag(name))
if (element.equals(name)) {
return event;
}
}
}
return null;
@ -173,31 +161,12 @@ public class XMLIterator implements Iterator<String> {
private XMLEventReader getParser() {
try {
XMLInputFactory xif = inputFactory.get();
xif.setProperty(XMLInputFactory.SUPPORT_DTD, false);
return xif.createXMLEventReader(sanitize(inputStream));
return inputFactory.get().createXMLEventReader(sanitize(inputStream));
} catch (XMLStreamException e) {
throw new RuntimeException(e);
}
}
private boolean isCheckTag(final String tagName) {
if (elements != null) {
final String found = elements
.stream()
.filter(e -> e.equalsIgnoreCase(tagName))
.findFirst()
.orElse(null);
if (found != null)
return true;
} else {
if (element.equalsIgnoreCase(tagName)) {
return true;
}
}
return false;
}
private Reader sanitize(final InputStream in) {
final CharsetDecoder charsetDecoder = Charset.forName(UTF_8).newDecoder();
charsetDecoder.onMalformedInput(CodingErrorAction.REPLACE);

View File

@ -28,19 +28,13 @@
"paramLongName": "dataciteInputPath",
"paramDescription": "the path to get the input data from Datacite",
"paramRequired": true
},
{
},{
"paramName": "wip",
"paramLongName": "webCrawlInputPath",
"paramDescription": "the path to get the input data from Web Crawl",
"paramRequired": true
},
{
"paramName": "pub",
"paramLongName": "publisherInputPath",
"paramDescription": "the path to get the input data from publishers",
"paramRequired": true
},
}
,
{
"paramName": "o",
"paramLongName": "outputPath",

View File

@ -21,10 +21,6 @@
<name>webCrawlInputPath</name>
<description>the path where to find the inferred affiliation relations from webCrawl</description>
</property>
<property>
<name>publisherInputPath</name>
<description>the path where to find the inferred affiliation relations from publisher websites</description>
</property>
<property>
<name>outputPath</name>
<description>the path where to store the actionset</description>
@ -121,7 +117,6 @@
<arg>--openapcInputPath</arg><arg>${openapcInputPath}</arg>
<arg>--dataciteInputPath</arg><arg>${dataciteInputPath}</arg>
<arg>--webCrawlInputPath</arg><arg>${webCrawlInputPath}</arg>
<arg>--publisherInputPath</arg><arg>${publisherInputPath}</arg>
<arg>--outputPath</arg><arg>${outputPath}</arg>
</spark>
<ok to="End"/>

View File

@ -24,19 +24,12 @@
"paramLongName": "outputPath",
"paramDescription": "the hdfs name node",
"paramRequired": true
},
{
"paramName": "nn",
"paramLongName": "hdfsNameNode",
"paramDescription": "the hdfs name node",
"paramRequired": true
},
{
"paramName": "bp",
"paramLongName": "backupPath",
"paramDescription": "the hdfs path to move the OC data after the extraction",
"paramRequired": true
}
}, {
"paramName": "nn",
"paramLongName": "hdfsNameNode",
"paramDescription": "the hdfs name node",
"paramRequired": true
}
]

View File

@ -129,7 +129,6 @@
</spark-opts>
<arg>--inputPath</arg><arg>${inputPath}/Extracted</arg>
<arg>--outputPath</arg><arg>${inputPath}/JSON</arg>
<arg>--backupPath</arg><arg>${inputPath}/backup</arg>
<arg>--delimiter</arg><arg>${delimiter}</arg>
<arg>--hdfsNameNode</arg><arg>${nameNode}</arg>
</spark>

View File

@ -16,11 +16,10 @@
"paramLongName": "isSparkSessionManged",
"paramDescription": "the hdfs name node",
"paramRequired": false
},
{
"paramName": "nn",
"paramLongName": "nameNode",
"paramDescription": "the hdfs name node",
"paramRequired": true
}
},{
"paramName": "nn",
"paramLongName": "nameNode",
"paramDescription": "the hdfs name node",
"paramRequired": true
}
]

View File

@ -1,25 +0,0 @@
[
{
"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
}, {
"paramName": "wd",
"paramLongName": "workingDir",
"paramDescription": "the hdfs name node",
"paramRequired": false
}
]

View File

@ -1,2 +0,0 @@
inputPath=/data/orcid_2023/tables/
outputPath=/user/miriam.baglioni/peopleAS

View File

@ -1,30 +0,0 @@
<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

@ -1,111 +0,0 @@
<workflow-app name="PersonEntity" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>inputPath</name>
<description>inputPath</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>${oozieActionShareLibForSpark2}</value>
</property>
</configuration>
</global>
<start to="deleteoutputpath"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="deleteoutputpath">
<fs>
<delete path="${outputPath}"/>
<mkdir path="${outputPath}"/>
<delete path="${workingDir}"/>
<mkdir path="${workingDir}"/>
</fs>
<ok to="atomicactions"/>
<error to="Kill"/>
</action>
<action name="atomicactions">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Produces the ActionSet for Person entity and relevant relations</name>
<class>eu.dnetlib.dhp.actionmanager.personentity.ExtractPerson</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=4
--executor-memory=4G
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=5G
--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}
--conf spark.sql.shuffle.partitions=15000
</spark-opts>
<arg>--inputPath</arg><arg>${inputPath}</arg>
<arg>--outputPath</arg><arg>${outputPath}</arg>
<arg>--workingDir</arg><arg>${workingDir}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

View File

@ -1,20 +0,0 @@
[
{
"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

@ -1,30 +0,0 @@
<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

@ -1,125 +0,0 @@
<workflow-app name="SDG no doi" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>sdgPath</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>${oozieActionShareLibForSpark2}</value>
</property>
</configuration>
</global>
<start to="prepareSDG"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="prepareSDG">
<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.PrepareSDGSparkJob</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>${sdgPath}</arg>
<arg>--outputPath</arg><arg>${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.sdgnodoi.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>${workingDir}/prepared/sdg</arg>
<arg>--outputPath</arg><arg>${outputPath}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

View File

@ -24,7 +24,7 @@
<decision name="resume_from">
<switch>
<case to="reset_workingDir">${wf:conf('resumeFrom') eq 'DownloadDump'}</case>
<case to="download">${wf:conf('resumeFrom') eq 'DownloadDump'}</case>
<default to="create_actionset"/> <!-- first action to be done when downloadDump is to be performed -->
</switch>
</decision>
@ -33,14 +33,6 @@
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="reset_workingDir">
<fs>
<delete path="${workingDir}"/>
<mkdir path="${workingDir}"/>
</fs>
<ok to="download"/>
<error to="Kill"/>
</action>
<action name="download">
<shell xmlns="uri:oozie:shell-action:0.2">
<job-tracker>${jobTracker}</job-tracker>

View File

@ -1,11 +1,3 @@
#PROPERTIES TO CREATE THE ACTION SET
#sourcePath=/user/miriam.baglioni/openalex-snapshot/data/works/
#outputPath=/tmp/miriam/webcrawlComplete/
#blackListPath=/user/miriam.baglioni/openalex-blackList
#resumeFrom=create
#PROPERTIES TO REMOVE FROM THE ACTION SET
sourcePath=/var/lib/dnet/actionManager_PROD/webcrawl/rawset_28247629-468b-478e-9a42-bc540877125d_1718121542061/
outputPath=/tmp/miriam/webcrawlRemoved/
blackListPath=/user/miriam.baglioni/oalexBlackListNormalized
resumeFrom=remove
sourcePath=/user/miriam.baglioni/openalex-snapshot/data/works/
outputPath=/tmp/miriam/webcrawlComplete/
blackListPath=/user/miriam.baglioni/openalex-blackList

View File

@ -20,19 +20,12 @@
</configuration>
</global>
<start to="resumeFrom"/>
<start to="create_actionset"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<decision name="resumeFrom">
<switch>
<case to="create_actionset">${wf:conf('resumeFrom') eq 'create'}</case>
<default to="remove_from_actionset"/>
</switch>
</decision>
<action name="create_actionset">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
@ -57,30 +50,5 @@
<ok to="End"/>
<error to="Kill"/>
</action>
<action name="remove_from_actionset">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Removes some relations found to be wrong from the AS</name>
<class>eu.dnetlib.dhp.actionmanager.webcrawl.RemoveRelationFromActionSet</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>${sourcePath}</arg>
<arg>--outputPath</arg><arg>${outputPath}</arg>
<arg>--blackListPath</arg><arg>${blackListPath}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

View File

@ -1,54 +1,44 @@
<RESOURCE_PROFILE>
<HEADER>
<RESOURCE_IDENTIFIER
value="2ad0cdd9-c96c-484c-8b0e-ed56d86891fe_VHJhbnNmb3JtYXRpb25SdWxlRFNSZXNvdXJjZXMvVHJhbnNmb3JtYXRpb25SdWxlRFNSZXNvdXJjZVR5cGU="/>
<RESOURCE_TYPE value="TransformationRuleDSResourceType"/>
<RESOURCE_KIND value="TransformationRuleDSResources"/>
<RESOURCE_URI value=""/>
<DATE_OF_CREATION value="2024-03-05T11:23:00+00:00"/>
</HEADER>
<BODY>
<CONFIGURATION>
<SOURCE_METADATA_FORMAT interpretation="cleaned" layout="store" name="dc"/>
<SINK_METADATA_FORMAT name="odf_hbase"/>
<IMPORTED/>
<SCRIPT>
<TITLE>xslt_base2odf_hadoop</TITLE>
<CODE>
<xsl:stylesheet xmlns:oaire="http://namespace.openaire.eu/schema/oaire/"
xmlns:dateCleaner="http://eu/dnetlib/transform/dateISO"
xmlns:base_dc="http://oai.base-search.net/base_dc/"
xmlns:datacite="http://datacite.org/schema/kernel-4"
xmlns:dr="http://www.driver-repository.eu/namespace/dr"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:xsl="http://www.w3.org/1999/XSL/Transform"
xmlns:vocabulary="http://eu/dnetlib/transform/clean"
xmlns:oaf="http://namespace.openaire.eu/oaf"
xmlns:oai="http://www.openarchives.org/OAI/2.0/"
xmlns:dri="http://www.driver-repository.eu/namespace/dri"
xmlns:xs="http://www.w3.org/2001/XMLSchema"
xmlns:dc="http://purl.org/dc/elements/1.1/"
exclude-result-prefixes="xsl vocabulary dateCleaner base_dc" version="2.0">
<xsl:param name="varOfficialName"/>
<xsl:param name="varDataSourceId"/>
<xsl:param name="varFP7" select="'corda_______::'"/>
<xsl:param name="varH2020" select="'corda__h2020::'"/>
<xsl:param name="repoCode"
select="substring-before(//*[local-name() = 'header']/*[local-name()='recordIdentifier'], ':')"/>
<xsl:param name="index" select="0"/>
<xsl:param name="transDate" select="current-dateTime()"/>
<HEADER>
<RESOURCE_IDENTIFIER value="2ad0cdd9-c96c-484c-8b0e-ed56d86891fe_VHJhbnNmb3JtYXRpb25SdWxlRFNSZXNvdXJjZXMvVHJhbnNmb3JtYXRpb25SdWxlRFNSZXNvdXJjZVR5cGU=" />
<RESOURCE_TYPE value="TransformationRuleDSResourceType" />
<RESOURCE_KIND value="TransformationRuleDSResources" />
<RESOURCE_URI value="" />
<DATE_OF_CREATION value="2024-03-05T11:23:00+00:00" />
</HEADER>
<BODY>
<CONFIGURATION>
<SOURCE_METADATA_FORMAT interpretation="cleaned" layout="store" name="dc" />
<SINK_METADATA_FORMAT name="odf_hbase" />
<IMPORTED />
<SCRIPT>
<TITLE>xslt_base2odf_hadoop</TITLE>
<CODE>
<xsl:stylesheet xmlns:oaire="http://namespace.openaire.eu/schema/oaire/" xmlns:dateCleaner="http://eu/dnetlib/transform/dateISO" xmlns:base_dc="http://oai.base-search.net/base_dc/"
xmlns:datacite="http://datacite.org/schema/kernel-4" xmlns:dr="http://www.driver-repository.eu/namespace/dr" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:xsl="http://www.w3.org/1999/XSL/Transform" xmlns:vocabulary="http://eu/dnetlib/transform/clean" xmlns:oaf="http://namespace.openaire.eu/oaf"
xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:dri="http://www.driver-repository.eu/namespace/dri" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:dc="http://purl.org/dc/elements/1.1/"
exclude-result-prefixes="xsl vocabulary dateCleaner base_dc" version="2.0">
<xsl:param name="varOfficialName" />
<xsl:param name="varDataSourceId" />
<xsl:param name="varFP7" select="'corda_______::'" />
<xsl:param name="varH2020" select="'corda__h2020::'" />
<xsl:param name="repoCode" select="substring-before(//*[local-name() = 'header']/*[local-name()='recordIdentifier'], ':')" />
<xsl:param name="index" select="0" />
<xsl:param name="transDate" select="current-dateTime()" />
<xsl:template name="terminate">
<xsl:message terminate="yes"> record is not compliant, transformation is
interrupted. </xsl:message>
</xsl:template>
<xsl:template name="terminate">
<xsl:message terminate="yes">
record is not compliant, transformation is interrupted.
</xsl:message>
</xsl:template>
<xsl:template match="/">
<record>
<xsl:apply-templates select="//*[local-name() = 'header']"/>
<xsl:template match="/">
<record>
<xsl:apply-templates select="//*[local-name() = 'header']" />
<!-- NOT USED
<!-- NOT USED
base_dc:global_id (I used oai:identifier)
base_dc:collection/text()
base_dc:continent
@ -61,481 +51,422 @@
base_dc:link (I used dc:identifier)
-->
<metadata>
<datacite:resource>
<metadata>
<datacite:resource>
<xsl:for-each select="//base_dc:doi">
<datacite:identifier identifierType="DOI">
<xsl:value-of select="."/>
</datacite:identifier>
</xsl:for-each>
<xsl:for-each select="//base_dc:doi">
<datacite:identifier identifierType="DOI">
<xsl:value-of select="." />
</datacite:identifier>
</xsl:for-each>
<datacite:alternateIdentifiers>
<xsl:for-each
select="distinct-values(//dc:identifier[starts-with(., 'http') and (not(contains(., '://dx.doi.org/') or contains(., '://doi.org/') or contains(., '://hdl.handle.net/')))])">
<datacite:identifier alternateIdentifierType="url">
<xsl:value-of select="."/>
</datacite:identifier>
</xsl:for-each>
<datacite:alternateIdentifiers>
<xsl:for-each
select="distinct-values(//dc:identifier[starts-with(., 'http') and (not(contains(., '://dx.doi.org/') or contains(., '://doi.org/') or contains(., '://hdl.handle.net/')))])">
<datacite:identifier alternateIdentifierType="url">
<xsl:value-of select="." />
</datacite:identifier>
</xsl:for-each>
<xsl:for-each
select="distinct-values(//dc:identifier[starts-with(., 'http') and contains(., '://hdl.handle.net/')]/substring-after(., 'hdl.handle.net/'))">
<datacite:identifier
alternateIdentifierType="handle">
<xsl:value-of select="."/>
</datacite:identifier>
</xsl:for-each>
<xsl:for-each select="distinct-values(//dc:identifier[starts-with(., 'http') and contains(., '://hdl.handle.net/')]/substring-after(., 'hdl.handle.net/'))">
<datacite:identifier alternateIdentifierType="handle">
<xsl:value-of select="." />
</datacite:identifier>
</xsl:for-each>
<xsl:for-each
select="distinct-values(//dc:identifier[starts-with(., 'urn:nbn:nl:') or starts-with(., 'URN:NBN:NL:')])">
<datacite:identifier alternateIdentifierType="urn">
<xsl:value-of select="."/>
</datacite:identifier>
</xsl:for-each>
<xsl:for-each select="distinct-values(//dc:identifier[starts-with(., 'urn:nbn:nl:') or starts-with(., 'URN:NBN:NL:')])">
<datacite:identifier alternateIdentifierType='urn'>
<xsl:value-of select="." />
</datacite:identifier>
</xsl:for-each>
<datacite:identifier
alternateIdentifierType="oai-original">
<xsl:value-of select="//oai:header/oai:identifier"/>
</datacite:identifier>
<datacite:identifier alternateIdentifierType="oai-original">
<xsl:value-of
select="//oai:header/oai:identifier" />
</datacite:identifier>
</datacite:alternateIdentifiers>
</datacite:alternateIdentifiers>
<datacite:relatedIdentifiers/>
<datacite:relatedIdentifiers />
<xsl:for-each select="//base_dc:typenorm">
<datacite:resourceType>
<xsl:value-of
select="vocabulary:clean(., 'base:normalized_types')"
/>
</datacite:resourceType>
</xsl:for-each>
<xsl:for-each select="//base_dc:typenorm">
<datacite:resourceType><xsl:value-of select="vocabulary:clean(., 'base:normalized_types')" /></datacite:resourceType>
</xsl:for-each>
<datacite:titles>
<xsl:for-each select="//dc:title">
<datacite:title>
<xsl:value-of select="normalize-space(.)"/>
</datacite:title>
</xsl:for-each>
</datacite:titles>
<datacite:titles>
<xsl:for-each select="//dc:title">
<datacite:title>
<xsl:value-of select="normalize-space(.)" />
</datacite:title>
</xsl:for-each>
</datacite:titles>
<datacite:creators>
<xsl:for-each select="//dc:creator">
<xsl:variable name="author"
select="normalize-space(.)"/>
<datacite:creator>
<datacite:creatorName>
<xsl:value-of select="$author"/>
</datacite:creatorName>
<xsl:for-each
select="//base_dc:authod_id[normalize-space(./base_dc:creator_name) = $author]/base_dc:creator_id ">
<xsl:if test="contains(.,'https://orcid.org/')">
<nameIdentifier schemeURI="https://orcid.org/"
nameIdentifierScheme="ORCID">
<xsl:value-of
select="substring-after(., 'https://orcid.org/')"
/>
</nameIdentifier>
</xsl:if>
</xsl:for-each>
</datacite:creator>
</xsl:for-each>
</datacite:creators>
<datacite:creators>
<xsl:for-each select="//dc:creator">
<xsl:variable name="author" select="normalize-space(.)" />
<datacite:creator>
<datacite:creatorName>
<xsl:value-of select="$author" />
</datacite:creatorName>
<xsl:for-each select="//base_dc:authod_id[normalize-space(./base_dc:creator_name) = $author]/base_dc:creator_id ">
<xsl:if test="contains(.,'https://orcid.org/')">
<nameIdentifier schemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">
<xsl:value-of select="substring-after(., 'https://orcid.org/')" />
</nameIdentifier>
</xsl:if>
</xsl:for-each>
</datacite:creator>
</xsl:for-each>
</datacite:creators>
<datacite:contributors>
<xsl:for-each select="//dc:contributor">
<datacite:contributor>
<datacite:contributorName>
<xsl:value-of select="normalize-space(.)"/>
</datacite:contributorName>
</datacite:contributor>
</xsl:for-each>
</datacite:contributors>
<datacite:contributors>
<xsl:for-each select="//dc:contributor">
<datacite:contributor>
<datacite:contributorName>
<xsl:value-of select="normalize-space(.)" />
</datacite:contributorName>
</datacite:contributor>
</xsl:for-each>
</datacite:contributors>
<datacite:descriptions>
<xsl:for-each select="//dc:description">
<datacite:description descriptionType="Abstract">
<xsl:value-of select="normalize-space(.)"/>
</datacite:description>
</xsl:for-each>
</datacite:descriptions>
<datacite:descriptions>
<xsl:for-each select="//dc:description">
<datacite:description descriptionType="Abstract">
<xsl:value-of select="normalize-space(.)" />
</datacite:description>
</xsl:for-each>
</datacite:descriptions>
<datacite:subjects>
<xsl:for-each select="//dc:subject">
<datacite:subject>
<xsl:value-of select="normalize-space(.)"/>
</datacite:subject>
</xsl:for-each>
<datacite:subjects>
<xsl:for-each select="//dc:subject">
<datacite:subject>
<xsl:value-of select="normalize-space(.)" />
</datacite:subject>
</xsl:for-each>
<xsl:for-each select="//base_dc:classcode|//base_dc:autoclasscode">
<datacite:subject subjectScheme="{@type}" classificationCode="{normalize-space(.)}">
<!-- TODO the value should be obtained by the Code -->
<xsl:value-of select="normalize-space(.)" />
</datacite:subject>
</xsl:for-each>
</datacite:subjects>
<xsl:for-each select="//dc:publisher">
<datacite:publisher>
<xsl:value-of select="normalize-space(.)" />
</datacite:publisher>
</xsl:for-each>
<xsl:for-each select="//base_dc:year">
<datacite:publicationYear>
<xsl:value-of select="normalize-space(.)" />
</datacite:publicationYear>
</xsl:for-each>
<datacite:formats>
<xsl:for-each select="//dc:format">
<datacite:format>
<xsl:value-of select="normalize-space(.)" />
</datacite:format>
</xsl:for-each>
</datacite:formats>
<datacite:language>
<xsl:value-of select="vocabulary:clean( //base_dc:lang, 'dnet:languages')" />
</datacite:language>
<xsl:for-each
select="//base_dc:classcode|//base_dc:autoclasscode">
<datacite:subject subjectScheme="{@type}"
classificationCode="{normalize-space(.)}">
<!-- TODO the value should be obtained by the Code -->
<xsl:value-of select="normalize-space(.)"/>
</datacite:subject>
</xsl:for-each>
</datacite:subjects>
<oaf:accessrights>
<xsl:if test="//base_dc:oa[.='0']">
<datacite:rights rightsURI="http://purl.org/coar/access_right/c_16ec">restricted access</datacite:rights>
</xsl:if>
<xsl:if test="//base_dc:oa[.='1']">
<datacite:rights rightsURI="http://purl.org/coar/access_right/c_abf2">open access</datacite:rights>
</xsl:if>
<xsl:for-each select="//dc:rights|//base_dc:rightsnorm">
<datacite:rights><xsl:value-of select="vocabulary:clean(., 'dnet:access_modes')" /></datacite:rights>
</xsl:for-each>
</oaf:accessrights>
<xsl:for-each select="//dc:publisher">
<datacite:publisher>
<xsl:value-of select="normalize-space(.)"/>
</datacite:publisher>
</xsl:for-each>
</datacite:resource>
<xsl:for-each select="//base_dc:year">
<datacite:publicationYear>
<xsl:value-of select="normalize-space(.)"/>
</datacite:publicationYear>
</xsl:for-each>
<xsl:for-each select="//dc:relation">
<xsl:if test="matches(normalize-space(.), '(info:eu-repo/grantagreement/ec/fp7/)(\d\d\d\d\d\d)(.*)', 'i')">
<oaf:projectid>
<xsl:value-of select="concat($varFP7, replace(normalize-space(.), '(info:eu-repo/grantagreement/ec/fp7/)(\d\d\d\d\d\d)(.*)', '$2', 'i'))" />
</oaf:projectid>
</xsl:if>
<xsl:if test="matches(normalize-space(.), '(info:eu-repo/grantagreement/ec/h2020/)(\d\d\d\d\d\d)(.*)', 'i')">
<oaf:projectid>
<xsl:value-of select="concat($varH2020, replace(normalize-space(.), '(info:eu-repo/grantagreement/ec/h2020/)(\d\d\d\d\d\d)(.*)', '$2', 'i'))" />
</oaf:projectid>
</xsl:if>
</xsl:for-each>
<datacite:formats>
<xsl:for-each select="//dc:format">
<datacite:format>
<xsl:value-of select="normalize-space(.)"/>
</datacite:format>
</xsl:for-each>
</datacite:formats>
<xsl:choose>
<!-- I used an inline mapping because the field typenorm could be repeated and I have to specify a list of priority -->
<!-- Book part -->
<xsl:when test="//base_dc:typenorm = '111'">
<dr:CobjCategory type="publication">0013</dr:CobjCategory>
</xsl:when>
<!-- Book -->
<xsl:when test="//base_dc:typenorm = '11'">
<dr:CobjCategory type="publication">0002</dr:CobjCategory>
</xsl:when>
<!-- Article contribution -->
<xsl:when test="//base_dc:typenorm = '121'">
<dr:CobjCategory type="publication">0001</dr:CobjCategory>
</xsl:when>
<!-- Journal/Newspaper -->
<xsl:when test="//base_dc:typenorm = '12'">
<dr:CobjCategory type="publication">0043</dr:CobjCategory>
</xsl:when>
<!-- Report -->
<xsl:when test="//base_dc:typenorm = '14'">
<dr:CobjCategory type="publication">0017</dr:CobjCategory>
</xsl:when>
<!-- Review -->
<xsl:when test="//base_dc:typenorm = '15'">
<dr:CobjCategory type="publication">0015</dr:CobjCategory>
</xsl:when>
<!-- Lecture -->
<xsl:when test="//base_dc:typenorm = '17'">
<dr:CobjCategory type="publication">0010</dr:CobjCategory>
</xsl:when>
<!-- Bachelor's thesis -->
<xsl:when test="//base_dc:typenorm = '181'">
<dr:CobjCategory type="publication">0008</dr:CobjCategory>
</xsl:when>
<!-- Master's thesis -->
<xsl:when test="//base_dc:typenorm = '182'">
<dr:CobjCategory type="publication">0007</dr:CobjCategory>
</xsl:when>
<!-- Doctoral and postdoctoral thesis -->
<xsl:when test="//base_dc:typenorm = '183'">
<dr:CobjCategory type="publication">0006</dr:CobjCategory>
</xsl:when>
<!-- Thesis -->
<xsl:when test="//base_dc:typenorm = '18'">
<dr:CobjCategory type="publication">0044</dr:CobjCategory>
</xsl:when>
<!-- Patent -->
<xsl:when test="//base_dc:typenorm = '1A'">
<dr:CobjCategory type="publication">0019</dr:CobjCategory>
</xsl:when>
<!-- Text -->
<xsl:when test="//base_dc:typenorm = '1'">
<dr:CobjCategory type="publication">0001</dr:CobjCategory>
</xsl:when>
<!-- Software -->
<xsl:when test="//base_dc:typenorm = '6'">
<dr:CobjCategory type="software">0029</dr:CobjCategory>
</xsl:when>
<!-- Dataset -->
<xsl:when test="//base_dc:typenorm = '7'">
<dr:CobjCategory type="dataset">0021</dr:CobjCategory>
</xsl:when>
<!-- Still image -->
<xsl:when test="//base_dc:typenorm = '51'">
<dr:CobjCategory type="other">0025</dr:CobjCategory>
</xsl:when>
<!-- Moving image/Video -->
<xsl:when test="//base_dc:typenorm = '52'">
<dr:CobjCategory type="other">0024</dr:CobjCategory>
</xsl:when>
<!-- Image/Video -->
<xsl:when test="//base_dc:typenorm = '5'">
<dr:CobjCategory type="other">0033</dr:CobjCategory>
</xsl:when>
<datacite:language>
<xsl:value-of
select="vocabulary:clean( //base_dc:lang, 'dnet:languages')"
/>
</datacite:language>
<!-- Audio -->
<xsl:when test="//base_dc:typenorm = '4'">
<dr:CobjCategory type="other">0030</dr:CobjCategory>
</xsl:when>
<!-- Musical notation -->
<xsl:when test="//base_dc:typenorm = '2'">
<dr:CobjCategory type="other">0020</dr:CobjCategory>
</xsl:when>
<!-- Map -->
<xsl:when test="//base_dc:typenorm = '3'">
<dr:CobjCategory type="other">0020</dr:CobjCategory>
</xsl:when>
<!-- Other non-article -->
<xsl:when test="//base_dc:typenorm = '122'">
<dr:CobjCategory type="publication">0038</dr:CobjCategory>
</xsl:when>
<!-- Course material -->
<xsl:when test="//base_dc:typenorm = '16'">
<dr:CobjCategory type="publication">0038</dr:CobjCategory>
</xsl:when>
<!-- Manuscript -->
<xsl:when test="//base_dc:typenorm = '19'">
<dr:CobjCategory type="publication">0038</dr:CobjCategory>
</xsl:when>
<!-- Conference object -->
<xsl:when test="//base_dc:typenorm = '13'">
<dr:CobjCategory type="publication">0004</dr:CobjCategory>
</xsl:when>
<!--<datacite:rightsList>
<xsl:if test="//base_dc:oa[.='0']">
<datacite:rights rightsURI="http://purl.org/coar/access_right/c_16ec">restricted access</datacite:rights>
</xsl:if>
<xsl:if test="//base_dc:oa[.='1']">
<datacite:rights rightsURI="http://purl.org/coar/access_right/c_abf2">open access</datacite:rights>
</xsl:if>
<xsl:for-each select="//dc:rights|//base_dc:rightsnorm">
<datacite:rights>
<xsl:value-of select="vocabulary:clean(., 'dnet:access_modes')"/>
</datacite:rights>
</xsl:for-each>
</datacite:rightsList>-->
<!-- Unknown -->
<xsl:when test="//base_dc:typenorm = 'F'">
<dr:CobjCategory type="other">0000</dr:CobjCategory>
</xsl:when>
<xsl:otherwise>
<dr:CobjCategory type="other">0000</dr:CobjCategory>
</xsl:otherwise>
</xsl:choose>
<oaf:accessrights>
<xsl:choose>
<xsl:when test="//base_dc:oa[.='0']">CLOSED</xsl:when>
<xsl:when test="//base_dc:oa[.='1']">OPEN</xsl:when>
<xsl:when test="//base_dc:oa[.='2']">UNKNOWN</xsl:when>
<xsl:when test="//base_dc:rightsnorm">
<xsl:value-of select="vocabulary:clean(//base_dc:rightsnorm, 'dnet:access_modes')" />
</xsl:when>
<xsl:when test="//dc:rights">
<xsl:value-of select="vocabulary:clean( //dc:rights, 'dnet:access_modes')" />
</xsl:when>
<xsl:otherwise>UNKNOWN</xsl:otherwise>
</xsl:choose>
</oaf:accessrights>
</datacite:resource>
<xsl:for-each select="//base_dc:doi">
<oaf:identifier identifierType="doi">
<xsl:value-of select="." />
</oaf:identifier>
</xsl:for-each>
<xsl:for-each select="//dc:relation">
<xsl:if
test="matches(normalize-space(.), '(info:eu-repo/grantagreement/ec/fp7/)(\d\d\d\d\d\d)(.*)', 'i')">
<oaf:projectid>
<xsl:value-of
select="concat($varFP7, replace(normalize-space(.), '(info:eu-repo/grantagreement/ec/fp7/)(\d\d\d\d\d\d)(.*)', '$2', 'i'))"
/>
</oaf:projectid>
</xsl:if>
<xsl:if
test="matches(normalize-space(.), '(info:eu-repo/grantagreement/ec/h2020/)(\d\d\d\d\d\d)(.*)', 'i')">
<oaf:projectid>
<xsl:value-of
select="concat($varH2020, replace(normalize-space(.), '(info:eu-repo/grantagreement/ec/h2020/)(\d\d\d\d\d\d)(.*)', '$2', 'i'))"
/>
</oaf:projectid>
</xsl:if>
</xsl:for-each>
<xsl:for-each
select="distinct-values(//dc:identifier[starts-with(., 'http') and ( not(contains(., '://dx.doi.org/') or contains(., '://doi.org/') or contains(., '://hdl.handle.net/')))])">
<oaf:identifier identifierType="url">
<xsl:value-of select="." />
</oaf:identifier>
</xsl:for-each>
<xsl:choose>
<!-- I used an inline mapping because the field typenorm could be repeated and I have to specify a list of priority -->
<xsl:for-each select="distinct-values(//dc:identifier[starts-with(., 'http') and contains(., '://hdl.handle.net/')]/substring-after(., 'hdl.handle.net/'))">
<oaf:identifier identifierType="handle">
<xsl:value-of select="." />
</oaf:identifier>
</xsl:for-each>
<!-- Book part -->
<xsl:when test="//base_dc:typenorm = '111'">
<dr:CobjCategory type="publication"
>0013</dr:CobjCategory>
</xsl:when>
<xsl:for-each select="distinct-values(//dc:identifier[starts-with(., 'urn:nbn:nl:') or starts-with(., 'URN:NBN:NL:')])">
<oaf:identifier identifierType='urn'>
<xsl:value-of select="." />
</oaf:identifier>
</xsl:for-each>
<!-- Book -->
<xsl:when test="//base_dc:typenorm = '11'">
<dr:CobjCategory type="publication"
>0002</dr:CobjCategory>
</xsl:when>
<oaf:identifier identifierType="oai-original">
<xsl:value-of
select="//oai:header/oai:identifier" />
</oaf:identifier>
<!-- Article contribution -->
<xsl:when test="//base_dc:typenorm = '121'">
<dr:CobjCategory type="publication"
>0001</dr:CobjCategory>
</xsl:when>
<oaf:hostedBy>
<xsl:attribute name="name">
<xsl:value-of select="//base_dc:collname" />
</xsl:attribute>
<xsl:attribute name="id">
<xsl:value-of select="concat('opendoar____::', //base_dc:collection/@opendoar_id)" />
</xsl:attribute>
</oaf:hostedBy>
<oaf:collectedFrom>
<xsl:attribute name="name">
<xsl:value-of select="$varOfficialName" />
</xsl:attribute>
<xsl:attribute name="id">
<xsl:value-of select="$varDataSourceId" />
</xsl:attribute>
</oaf:collectedFrom>
<!-- Journal/Newspaper -->
<xsl:when test="//base_dc:typenorm = '12'">
<dr:CobjCategory type="publication"
>0043</dr:CobjCategory>
</xsl:when>
<oaf:dateAccepted>
<xsl:value-of select="dateCleaner:dateISO( //dc:date[1] )" />
</oaf:dateAccepted>
<!-- Report -->
<xsl:when test="//base_dc:typenorm = '14'">
<dr:CobjCategory type="publication"
>0017</dr:CobjCategory>
</xsl:when>
<xsl:if test="//base_dc:oa[.='1']">
<xsl:for-each select="//dc:relation[starts-with(., 'http')]">
<oaf:fulltext>
<xsl:value-of select="normalize-space(.)" />
</oaf:fulltext>
</xsl:for-each>
</xsl:if>
<!-- Review -->
<xsl:when test="//base_dc:typenorm = '15'">
<dr:CobjCategory type="publication"
>0015</dr:CobjCategory>
</xsl:when>
<xsl:for-each select="//base_dc:collection/@ror_id">
<oaf:relation relType="resultOrganization" subRelType="affiliation" relClass="hasAuthorInstitution" targetType="organization">
<xsl:choose>
<xsl:when test="contains(.,'https://ror.org/')">
<xsl:value-of select="concat('ror_________::', normalize-space(.))" />
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="concat('ror_________::https://ror.org/', normalize-space(.))" />
</xsl:otherwise>
</xsl:choose>
</oaf:relation>
</xsl:for-each>
<oaf:datainfo>
<oaf:inferred>false</oaf:inferred>
<oaf:deletedbyinference>false</oaf:deletedbyinference>
<oaf:trust>0.89</oaf:trust>
<oaf:inferenceprovenance/>
<oaf:provenanceaction classid="sysimport:crosswalk:aggregator"
classname="sysimport:crosswalk:aggregator"
schemeid="dnet:provenanceActions"
schemename="dnet:provenanceActions"/>
</oaf:datainfo>
</metadata>
<xsl:copy-of select="//*[local-name() = 'about']" />
</record>
</xsl:template>
<!-- Lecture -->
<xsl:when test="//base_dc:typenorm = '17'">
<dr:CobjCategory type="publication"
>0010</dr:CobjCategory>
</xsl:when>
<xsl:template match="//*[local-name() = 'header']">
<xsl:if test="//oai:header/@status='deleted'">
<xsl:call-template name="terminate" />
</xsl:if>
<xsl:copy>
<xsl:apply-templates select="node()|@*" />
<xsl:element name="dr:dateOfTransformation">
<xsl:value-of select="$transDate" />
</xsl:element>
</xsl:copy>
</xsl:template>
<!-- Bachelor's thesis -->
<xsl:when test="//base_dc:typenorm = '181'">
<dr:CobjCategory type="publication"
>0008</dr:CobjCategory>
</xsl:when>
<!-- Master's thesis -->
<xsl:when test="//base_dc:typenorm = '182'">
<dr:CobjCategory type="publication"
>0007</dr:CobjCategory>
</xsl:when>
<!-- Doctoral and postdoctoral thesis -->
<xsl:when test="//base_dc:typenorm = '183'">
<dr:CobjCategory type="publication"
>0006</dr:CobjCategory>
</xsl:when>
<!-- Thesis -->
<xsl:when test="//base_dc:typenorm = '18'">
<dr:CobjCategory type="publication"
>0044</dr:CobjCategory>
</xsl:when>
<!-- Patent -->
<xsl:when test="//base_dc:typenorm = '1A'">
<dr:CobjCategory type="publication"
>0019</dr:CobjCategory>
</xsl:when>
<!-- Text -->
<xsl:when test="//base_dc:typenorm = '1'">
<dr:CobjCategory type="publication"
>0001</dr:CobjCategory>
</xsl:when>
<!-- Software -->
<xsl:when test="//base_dc:typenorm = '6'">
<dr:CobjCategory type="software">0029</dr:CobjCategory>
</xsl:when>
<!-- Dataset -->
<xsl:when test="//base_dc:typenorm = '7'">
<dr:CobjCategory type="dataset">0021</dr:CobjCategory>
</xsl:when>
<!-- Still image -->
<xsl:when test="//base_dc:typenorm = '51'">
<dr:CobjCategory type="other">0025</dr:CobjCategory>
</xsl:when>
<!-- Moving image/Video -->
<xsl:when test="//base_dc:typenorm = '52'">
<dr:CobjCategory type="other">0024</dr:CobjCategory>
</xsl:when>
<!-- Image/Video -->
<xsl:when test="//base_dc:typenorm = '5'">
<dr:CobjCategory type="other">0033</dr:CobjCategory>
</xsl:when>
<!-- Audio -->
<xsl:when test="//base_dc:typenorm = '4'">
<dr:CobjCategory type="other">0030</dr:CobjCategory>
</xsl:when>
<!-- Musical notation -->
<xsl:when test="//base_dc:typenorm = '2'">
<dr:CobjCategory type="other">0020</dr:CobjCategory>
</xsl:when>
<!-- Map -->
<xsl:when test="//base_dc:typenorm = '3'">
<dr:CobjCategory type="other">0020</dr:CobjCategory>
</xsl:when>
<!-- Other non-article -->
<xsl:when test="//base_dc:typenorm = '122'">
<dr:CobjCategory type="publication"
>0038</dr:CobjCategory>
</xsl:when>
<!-- Course material -->
<xsl:when test="//base_dc:typenorm = '16'">
<dr:CobjCategory type="publication"
>0038</dr:CobjCategory>
</xsl:when>
<!-- Manuscript -->
<xsl:when test="//base_dc:typenorm = '19'">
<dr:CobjCategory type="publication"
>0038</dr:CobjCategory>
</xsl:when>
<!-- Conference object -->
<xsl:when test="//base_dc:typenorm = '13'">
<dr:CobjCategory type="publication"
>0004</dr:CobjCategory>
</xsl:when>
<!-- Unknown -->
<xsl:when test="//base_dc:typenorm = 'F'">
<dr:CobjCategory type="other">0000</dr:CobjCategory>
</xsl:when>
<xsl:otherwise>
<dr:CobjCategory type="other">0000</dr:CobjCategory>
</xsl:otherwise>
</xsl:choose>
<oaf:accessrights>
<xsl:choose>
<xsl:when test="//base_dc:oa[.='0']">CLOSED</xsl:when>
<xsl:when test="//base_dc:oa[.='1']">OPEN</xsl:when>
<xsl:when test="//base_dc:oa[.='2']">UNKNOWN</xsl:when>
<xsl:when test="//base_dc:rightsnorm">
<xsl:value-of
select="vocabulary:clean(//base_dc:rightsnorm, 'dnet:access_modes')"
/>
</xsl:when>
<xsl:when test="//dc:rights">
<xsl:value-of
select="vocabulary:clean( //dc:rights, 'dnet:access_modes')"
/>
</xsl:when>
<xsl:otherwise>UNKNOWN</xsl:otherwise>
</xsl:choose>
</oaf:accessrights>
<xsl:if test="//base_dc:rightsnorm and not(contains(//base_dc:rightsnorm, ';'))">
<oaf:license><xsl:value-of select="vocabulary:clean(//base_dc:rightsnorm, 'dnet:licenses')" /></oaf:license>
</xsl:if>
<xsl:for-each select="//base_dc:doi">
<oaf:identifier identifierType="doi">
<xsl:value-of select="."/>
</oaf:identifier>
</xsl:for-each>
<xsl:for-each
select="distinct-values(//dc:identifier[starts-with(., 'http') and ( not(contains(., '://dx.doi.org/') or contains(., '://doi.org/') or contains(., '://hdl.handle.net/')))])">
<oaf:identifier identifierType="url">
<xsl:value-of select="."/>
</oaf:identifier>
</xsl:for-each>
<xsl:for-each
select="distinct-values(//dc:identifier[starts-with(., 'http') and contains(., '://hdl.handle.net/')]/substring-after(., 'hdl.handle.net/'))">
<oaf:identifier identifierType="handle">
<xsl:value-of select="."/>
</oaf:identifier>
</xsl:for-each>
<xsl:for-each
select="distinct-values(//dc:identifier[starts-with(., 'urn:nbn:nl:') or starts-with(., 'URN:NBN:NL:')])">
<oaf:identifier identifierType="urn">
<xsl:value-of select="."/>
</oaf:identifier>
</xsl:for-each>
<oaf:identifier identifierType="oai-original">
<xsl:value-of select="//oai:header/oai:identifier"/>
</oaf:identifier>
<oaf:hostedBy>
<xsl:attribute name="name">
<xsl:value-of select="//base_dc:collname"/>
</xsl:attribute>
<xsl:attribute name="id">
<xsl:value-of
select="concat('opendoar____::', //base_dc:collection/@opendoar_id)"
/>
</xsl:attribute>
</oaf:hostedBy>
<oaf:collectedFrom>
<xsl:attribute name="name">
<xsl:value-of select="$varOfficialName"/>
</xsl:attribute>
<xsl:attribute name="id">
<xsl:value-of select="$varDataSourceId"/>
</xsl:attribute>
</oaf:collectedFrom>
<oaf:dateAccepted>
<xsl:value-of select="dateCleaner:dateISO( //dc:date[1] )"/>
</oaf:dateAccepted>
<xsl:if test="//base_dc:oa[.='1']">
<xsl:for-each select="//dc:relation[starts-with(., 'http')]">
<oaf:fulltext>
<xsl:value-of select="normalize-space(.)"/>
</oaf:fulltext>
</xsl:for-each>
</xsl:if>
<xsl:for-each select="//base_dc:collection/@ror_id">
<oaf:relation relType="resultOrganization"
subRelType="affiliation" relClass="hasAuthorInstitution"
targetType="organization">
<xsl:choose>
<xsl:when test="contains(.,'https://ror.org/')">
<xsl:value-of
select="concat('ror_________::', normalize-space(.))"
/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of
select="concat('ror_________::https://ror.org/', normalize-space(.))"
/>
</xsl:otherwise>
</xsl:choose>
</oaf:relation>
</xsl:for-each>
<oaf:datainfo>
<oaf:inferred>false</oaf:inferred>
<oaf:deletedbyinference>false</oaf:deletedbyinference>
<oaf:trust>0.89</oaf:trust>
<oaf:inferenceprovenance/>
<oaf:provenanceaction
classid="sysimport:crosswalk:aggregator"
classname="sysimport:crosswalk:aggregator"
schemeid="dnet:provenanceActions"
schemename="dnet:provenanceActions"/>
</oaf:datainfo>
</metadata>
<xsl:copy-of select="//*[local-name() = 'about']"/>
</record>
</xsl:template>
<xsl:template match="//*[local-name() = 'header']">
<xsl:if test="//oai:header/@status='deleted'">
<xsl:call-template name="terminate"/>
</xsl:if>
<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>
</CODE>
</SCRIPT>
</CONFIGURATION>
<STATUS/>
<SECURITY_PARAMETERS/>
</BODY>
</RESOURCE_PROFILE>
<xsl:template match="node()|@*">
<xsl:copy>
<xsl:apply-templates select="node()|@*" />
</xsl:copy>
</xsl:template>
</xsl:stylesheet>
</CODE>
</SCRIPT>
</CONFIGURATION>
<STATUS />
<SECURITY_PARAMETERS />
</BODY>
</RESOURCE_PROFILE>

View File

@ -332,7 +332,7 @@ case object Crossref2Oaf {
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
//MAPPING Crossref DOI into PID
val doi: String = DoiCleaningRule.clean((json \ "DOI").extract[String])
val doi: String = DoiCleaningRule.normalizeDoi((json \ "DOI").extract[String])
result.setPid(
List(
structuredProperty(
@ -504,24 +504,6 @@ case object Crossref2Oaf {
)
}
val is_review = json \ "relation" \ "is-review-of" \ "id"
if (is_review != JNothing) {
instance.setInstancetype(
OafMapperUtils.qualifier(
"0015",
"peerReviewed",
ModelConstants.DNET_REVIEW_LEVELS,
ModelConstants.DNET_REVIEW_LEVELS
)
)
}
if (doi.startsWith("10.3410") || doi.startsWith("10.12703"))
instance.setHostedby(
OafMapperUtils.keyValue(OafMapperUtils.createOpenaireId(10, "openaire____::H1Connect", true), "H1Connect")
)
instance.setAccessright(
decideAccessRight(instance.getLicense, result.getDateofacceptance.getValue)
)
@ -673,7 +655,7 @@ case object Crossref2Oaf {
val doi = input.getString(0)
val rorId = input.getString(1)
val pubId = s"50|${PidType.doi.toString.padTo(12, "_")}::${DoiCleaningRule.clean(doi)}"
val pubId = s"50|${PidType.doi.toString.padTo(12, "_")}::${DoiCleaningRule.normalizeDoi(doi)}"
val affId = GenerateRorActionSetJob.calculateOpenaireId(rorId)
val r: Relation = new Relation
@ -906,11 +888,7 @@ case object Crossref2Oaf {
val targetId = getProjectId("cihr________", "1e5e62235d094afd01cd56e65112fc63")
queue += generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY)
queue += generateRelation(targetId, sourceId, ModelConstants.PRODUCES)
// Added mapping for DFG
case "10.13039/501100001659" =>
val targetId = getProjectId("dfgf________", "1e5e62235d094afd01cd56e65112fc63")
queue += generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY)
queue += generateRelation(targetId, sourceId, ModelConstants.PRODUCES)
case "10.13039/100020031" =>
val targetId = getProjectId("tara________", "1e5e62235d094afd01cd56e65112fc63")
queue += generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY)
@ -1047,7 +1025,6 @@ case object Crossref2Oaf {
tp._1 match {
case "electronic" => journal.setIssnOnline(tp._2)
case "print" => journal.setIssnPrinted(tp._2)
case _ =>
}
})
}

View File

@ -2,9 +2,12 @@ package eu.dnetlib.dhp.sx.bio.ebi
import eu.dnetlib.dhp.application.ArgumentApplicationParser
import eu.dnetlib.dhp.collection.CollectionUtils
import eu.dnetlib.dhp.common.Constants.{MDSTORE_DATA_PATH, MDSTORE_SIZE_PATH}
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
import eu.dnetlib.dhp.schema.oaf.Oaf
import eu.dnetlib.dhp.schema.mdstore.MDStoreVersion
import eu.dnetlib.dhp.schema.oaf.{Oaf, Result}
import eu.dnetlib.dhp.sx.bio.pubmed._
import eu.dnetlib.dhp.utils.DHPUtils.{MAPPER, writeHdfsFile}
import eu.dnetlib.dhp.utils.ISLookupClientFactory
import org.apache.commons.io.IOUtils
import org.apache.hadoop.conf.Configuration
@ -14,13 +17,13 @@ import org.apache.http.client.methods.HttpGet
import org.apache.http.impl.client.HttpClientBuilder
import org.apache.spark.SparkConf
import org.apache.spark.rdd.RDD
import org.apache.spark.sql._
import org.apache.spark.sql.expressions.Aggregator
import org.apache.spark.sql._
import org.slf4j.{Logger, LoggerFactory}
import java.io.{ByteArrayInputStream, InputStream}
import java.nio.charset.Charset
import javax.xml.stream.XMLInputFactory
import java.io.InputStream
import scala.io.Source
import scala.xml.pull.XMLEventReader
object SparkCreateBaselineDataFrame {
@ -83,7 +86,7 @@ object SparkCreateBaselineDataFrame {
if (response.getStatusLine.getStatusCode > 400) {
tries -= 1
} else
return IOUtils.toString(response.getEntity.getContent, Charset.defaultCharset())
return IOUtils.toString(response.getEntity.getContent)
} catch {
case e: Throwable =>
println(s"Error on requesting ${r.getURI}")
@ -155,8 +158,7 @@ object SparkCreateBaselineDataFrame {
IOUtils.toString(
SparkEBILinksToOaf.getClass.getResourceAsStream(
"/eu/dnetlib/dhp/sx/bio/ebi/baseline_to_oaf_params.json"
),
Charset.defaultCharset()
)
)
)
parser.parseArgument(args)
@ -165,11 +167,15 @@ object SparkCreateBaselineDataFrame {
val workingPath = parser.get("workingPath")
log.info("workingPath: {}", workingPath)
val targetPath = parser.get("targetPath")
log.info("targetPath: {}", targetPath)
val mdstoreOutputVersion = parser.get("mdstoreOutputVersion")
log.info("mdstoreOutputVersion: {}", mdstoreOutputVersion)
val cleanedMdStoreVersion = MAPPER.readValue(mdstoreOutputVersion, classOf[MDStoreVersion])
val outputBasePath = cleanedMdStoreVersion.getHdfsPath
log.info("outputBasePath: {}", outputBasePath)
val hdfsServerUri = parser.get("hdfsServerUri")
log.info("hdfsServerUri: {}", targetPath)
log.info("hdfsServerUri: {}", hdfsServerUri)
val skipUpdate = parser.get("skipUpdate")
log.info("skipUpdate: {}", skipUpdate)
@ -195,11 +201,10 @@ object SparkCreateBaselineDataFrame {
if (!"true".equalsIgnoreCase(skipUpdate)) {
downloadBaseLineUpdate(s"$workingPath/baseline", hdfsServerUri)
val k: RDD[(String, String)] = sc.wholeTextFiles(s"$workingPath/baseline", 2000)
val inputFactory = XMLInputFactory.newInstance
val ds: Dataset[PMArticle] = spark.createDataset(
k.filter(i => i._1.endsWith(".gz"))
.flatMap(i => {
val xml = inputFactory.createXMLEventReader(new ByteArrayInputStream(i._2.getBytes()))
val xml = new XMLEventReader(Source.fromBytes(i._2.getBytes()))
new PMParser(xml)
})
)
@ -218,8 +223,11 @@ object SparkCreateBaselineDataFrame {
.map(a => PubMedToOaf.convert(a, vocabularies))
.as[Oaf]
.filter(p => p != null),
targetPath
s"$outputBasePath/$MDSTORE_DATA_PATH"
)
val df = spark.read.text(s"$outputBasePath/$MDSTORE_DATA_PATH")
val mdStoreSize = df.count
writeHdfsFile(spark.sparkContext.hadoopConfiguration, s"$mdStoreSize", s"$outputBasePath/$MDSTORE_SIZE_PATH")
}
}

View File

@ -1,8 +1,7 @@
package eu.dnetlib.dhp.sx.bio.pubmed
import scala.xml.MetaData
import javax.xml.stream.XMLEventReader
import scala.xml.pull.{EvElemEnd, EvElemStart, EvText}
import scala.xml.pull.{EvElemEnd, EvElemStart, EvText, XMLEventReader}
/** @param xml
*/

View File

@ -30,7 +30,6 @@ 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;
import eu.dnetlib.dhp.schema.oaf.utils.PidCleaner;
public class PrepareAffiliationRelationsTest {
@ -75,20 +74,8 @@ public class PrepareAffiliationRelationsTest {
@Test
void testMatch() throws Exception {
String crossrefAffiliationRelationPathNew = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/bipaffiliations/doi_to_ror.json")
.getPath();
String crossrefAffiliationRelationPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/bipaffiliations/doi_to_ror_old.json")
.getPath();
String publisherAffiliationRelationPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/bipaffiliations/publishers")
.getPath();
String publisherAffiliationRelationOldPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/bipaffiliations/publichers_old")
.getResource("/eu/dnetlib/dhp/actionmanager/bipaffiliations/doi_to_ror.json")
.getPath();
String outputPath = workingDir.toString() + "/actionSet";
@ -97,12 +84,11 @@ public class PrepareAffiliationRelationsTest {
.main(
new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(),
"-crossrefInputPath", crossrefAffiliationRelationPathNew,
"-crossrefInputPath", crossrefAffiliationRelationPath,
"-pubmedInputPath", crossrefAffiliationRelationPath,
"-openapcInputPath", crossrefAffiliationRelationPathNew,
"-openapcInputPath", crossrefAffiliationRelationPath,
"-dataciteInputPath", crossrefAffiliationRelationPath,
"-webCrawlInputPath", crossrefAffiliationRelationPath,
"-publisherInputPath", publisherAffiliationRelationOldPath,
"-outputPath", outputPath
});
@ -113,8 +99,13 @@ public class PrepareAffiliationRelationsTest {
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
// for (Relation r : tmp.collect()) {
// System.out.println(
// r.getSource() + "\t" + r.getTarget() + "\t" + r.getRelType() + "\t" + r.getRelClass() + "\t" + r.getSubRelType() + "\t" + r.getValidationDate() + "\t" + r.getDataInfo().getTrust() + "\t" + r.getDataInfo().getInferred()
// );
// }
// count the number of relations
assertEquals(150, tmp.count());// 18 + 24 *3 + 30 * 2 =
assertEquals(120, tmp.count());
Dataset<Relation> dataset = spark.createDataset(tmp.rdd(), Encoders.bean(Relation.class));
dataset.createOrReplaceTempView("result");
@ -125,7 +116,7 @@ public class PrepareAffiliationRelationsTest {
// verify that we have equal number of bi-directional relations
Assertions
.assertEquals(
75, execVerification
60, execVerification
.filter(
"relClass='" + ModelConstants.HAS_AUTHOR_INSTITUTION + "'")
.collectAsList()
@ -133,56 +124,26 @@ public class PrepareAffiliationRelationsTest {
Assertions
.assertEquals(
75, execVerification
60, execVerification
.filter(
"relClass='" + ModelConstants.IS_AUTHOR_INSTITUTION_OF + "'")
.collectAsList()
.size());
// check confidence value of a specific relation
String sourceDOI = "10.1089/10872910260066679";
String sourceDOI = "10.1061/(asce)0733-9399(2002)128:7(759)";
final String sourceOpenaireId = ID_PREFIX
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("doi", sourceDOI));
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", sourceDOI));
Assertions
.assertEquals(
"1.0", execVerification
"0.7071067812", execVerification
.filter(
"source='" + sourceOpenaireId + "'")
.collectAsList()
.get(0)
.getString(4));
final String publisherid = ID_PREFIX
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("doi", "10.1089/10872910260066679"));
final String rorId = "20|ror_________::" + IdentifierFactory.md5("https://ror.org/05cf8a891");
Assertions
.assertEquals(
2, execVerification.filter("source = '" + publisherid + "' and target = '" + rorId + "'").count());
Assertions
.assertEquals(
1, execVerification
.filter(
"source = '" + ID_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue("doi", "10.1007/s00217-010-1268-9"))
+ "' and target = '" + "20|ror_________::"
+ IdentifierFactory.md5("https://ror.org/03265fv13") + "'")
.count());
Assertions
.assertEquals(
3, execVerification
.filter(
"source = '" + ID_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue("doi", "10.1007/3-540-47984-8_14"))
+ "' and target = '" + "20|ror_________::"
+ IdentifierFactory.md5("https://ror.org/00a0n9e72") + "'")
.count());
}
}

View File

@ -15,7 +15,10 @@ 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.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;

View File

@ -31,7 +31,6 @@ import eu.dnetlib.dhp.schema.oaf.Publication;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.schema.oaf.utils.CleaningFunctions;
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
import eu.dnetlib.dhp.schema.oaf.utils.PidCleaner;
public class CreateOpenCitationsASTest {
@ -281,17 +280,17 @@ public class CreateOpenCitationsASTest {
@Test
void testRelationsSourceTargetCouple() throws Exception {
final String doi1 = "50|doi_________::"
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("doi", "10.1007/s10854-015-3684-x"));
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1007/s10854-015-3684-x"));
final String doi2 = "50|doi_________::"
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("doi", "10.1111/j.1551-2916.2008.02408.x"));
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1111/j.1551-2916.2008.02408.x"));
final String doi3 = "50|doi_________::"
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("doi", "10.1007/s10854-014-2114-9"));
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1007/s10854-014-2114-9"));
final String doi4 = "50|doi_________::"
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("doi", "10.1016/j.ceramint.2013.09.069"));
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1016/j.ceramint.2013.09.069"));
final String doi5 = "50|doi_________::"
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("doi", "10.1007/s10854-009-9913-4"));
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1007/s10854-009-9913-4"));
final String doi6 = "50|doi_________::"
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("doi", "10.1016/0038-1098(72)90370-5"));
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1016/0038-1098(72)90370-5"));
String inputPath = getClass()
.getResource(

View File

@ -119,9 +119,7 @@ public class ReadCOCITest {
workingDir.toString() + "/COCI",
"-outputPath",
workingDir.toString() + "/COCI_json/",
"-inputFile", "input1;input2;input3;input4;input5",
"-format",
"COCI"
"-inputFile", "input1;input2;input3;input4;input5"
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());

View File

@ -77,13 +77,13 @@ public class RemapTest {
MapOCIdsInPids
.main(
new String[] {
"--isSparkSessionManged",
"-isSparkSessionManged",
Boolean.FALSE.toString(),
"--inputPath",
"-inputPath",
inputPath,
"--outputPath",
"-outputPath",
workingDir.toString() + "/out/",
"--nameNode", "hdfs://localhost"
"-nameNode", "input1;input2;input3;input4;input5"
});
}

View File

@ -1,213 +0,0 @@
package eu.dnetlib.dhp.actionmanager.person;
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.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.personentity.ExtractPerson;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Person;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.utils.DHPUtils;
public class CreatePersonAS {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
private static final Logger log = LoggerFactory
.getLogger(CreatePersonAS.class);
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files
.createTempDirectory(CreatePersonAS.class.getSimpleName());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(CreatePersonAS.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.codegen.wholeStage", "false");
conf.set("spark.sql.warehouse.dir", workingDir.toString());
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession
.builder()
.appName(CreatePersonAS.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
void testAuthors() throws Exception {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/person/")
.getPath();
// spark
// .read()
// .parquet(inputPath + "Authors")
// .as(Encoders.bean(Author.class))
// .filter((FilterFunction<Author>) a -> Optional.ofNullable(a.getOtherNames()).isPresent() &&
// Optional.ofNullable(a.getBiography()).isPresent())
// .write()
// .mode(SaveMode.Overwrite)
// .parquet(workingDir.toString() + "AuthorsSubset");
ExtractPerson
.main(
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputPath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet1",
"-workingDir",
workingDir.toString() + "/working"
});
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Relation> relations = sc
.sequenceFile(workingDir.toString() + "/actionSet1", Text.class, Text.class)
.filter(v -> "eu.dnetlib.dhp.schema.oaf.Relation".equalsIgnoreCase(v._1().toString()))
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
//
JavaRDD<Person> people = sc
.sequenceFile(workingDir.toString() + "/actionSet1", Text.class, Text.class)
.filter(v -> "eu.dnetlib.dhp.schema.oaf.Person".equalsIgnoreCase(v._1().toString()))
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Person) aa.getPayload()));
//
Assertions.assertEquals(7, people.count());
Assertions
.assertEquals(
"Paulo",
people
.filter(
p -> p.getPid().stream().anyMatch(id -> id.getValue().equalsIgnoreCase("0000-0002-3210-3034")))
.first()
.getGivenName());
Assertions
.assertEquals(
"Tavares",
people
.filter(
p -> p.getPid().stream().anyMatch(id -> id.getValue().equalsIgnoreCase("0000-0002-3210-3034")))
.first()
.getFamilyName());
Assertions
.assertEquals(
4,
people
.filter(
p -> p.getPid().stream().anyMatch(id -> id.getValue().equalsIgnoreCase("0000-0002-3210-3034")))
.first()
.getAlternativeNames()
.size());
Assertions
.assertEquals(
4,
people
.filter(
p -> p.getPid().stream().anyMatch(id -> id.getValue().equalsIgnoreCase("0000-0002-3210-3034")))
.first()
.getPid()
.size());
Assertions
.assertTrue(
people
.filter(
p -> p.getPid().stream().anyMatch(id -> id.getValue().equalsIgnoreCase("0000-0002-3210-3034")))
.first()
.getPid()
.stream()
.anyMatch(
p -> p.getQualifier().getSchemename().equalsIgnoreCase("Scopus Author ID")
&& p.getValue().equalsIgnoreCase("15119405200")));
Assertions
.assertEquals(
16,
relations
.filter(r -> r.getRelClass().equalsIgnoreCase(ModelConstants.RESULT_PERSON_HASAUTHORED))
.count());
Assertions
.assertEquals(
14,
relations
.filter(r -> r.getRelClass().equalsIgnoreCase(ModelConstants.PERSON_PERSON_HASCOAUTHORED))
.count());
Assertions
.assertEquals(
3,
relations
.filter(
r -> r.getSource().equalsIgnoreCase("30|orcid_______::" + DHPUtils.md5("0000-0001-6291-9619"))
&& r.getRelClass().equalsIgnoreCase(ModelConstants.RESULT_PERSON_HASAUTHORED))
.count());
Assertions
.assertEquals(
2,
relations
.filter(
r -> r.getSource().equalsIgnoreCase("30|orcid_______::" + DHPUtils.md5("0000-0001-6291-9619"))
&& r.getRelClass().equalsIgnoreCase(ModelConstants.RESULT_PERSON_HASAUTHORED)
&& r.getTarget().startsWith("50|doi"))
.count());
Assertions
.assertEquals(
1,
relations
.filter(
r -> r.getSource().equalsIgnoreCase("30|orcid_______::" + DHPUtils.md5("0000-0001-6291-9619"))
&& r.getRelClass().equalsIgnoreCase(ModelConstants.RESULT_PERSON_HASAUTHORED)
&& r.getTarget().startsWith("50|arXiv"))
.count());
Assertions
.assertEquals(
1,
relations
.filter(
r -> r.getSource().equalsIgnoreCase("30|orcid_______::" + DHPUtils.md5("0000-0001-6291-9619"))
&& r.getRelClass().equalsIgnoreCase(ModelConstants.PERSON_PERSON_HASCOAUTHORED))
.count());
Assertions.assertEquals(33, relations.count());
}
}

View File

@ -28,7 +28,6 @@ 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;
import eu.dnetlib.dhp.schema.oaf.utils.PidCleaner;
/**
* @author miriam.baglioni
@ -271,17 +270,17 @@ public class CreateTAActionSetTest {
@Test
void testRelationsSourceTargetCouple() throws Exception {
final String doi1 = "50|doi_________::"
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("doi", "10.1007/s10854-015-3684-x"));
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1007/s10854-015-3684-x"));
final String doi2 = "50|doi_________::"
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("doi", "10.1111/j.1551-2916.2008.02408.x"));
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1111/j.1551-2916.2008.02408.x"));
final String doi3 = "50|doi_________::"
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("doi", "10.1007/s10854-014-2114-9"));
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1007/s10854-014-2114-9"));
final String doi4 = "50|doi_________::"
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("doi", "10.1016/j.ceramint.2013.09.069"));
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1016/j.ceramint.2013.09.069"));
final String doi5 = "50|doi_________::"
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("doi", "10.1007/s10854-009-9913-4"));
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1007/s10854-009-9913-4"));
final String doi6 = "50|doi_________::"
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("doi", "10.1016/0038-1098(72)90370-5"));
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1016/0038-1098(72)90370-5"));
String inputPath = getClass()
.getResource(

View File

@ -2,7 +2,6 @@
package eu.dnetlib.dhp.actionmanager.webcrawl;
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;
@ -102,10 +101,7 @@ public class CreateASTest {
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
tmp.foreach(r -> System.out.println(new ObjectMapper().writeValueAsString(r)));
tmp.foreach(r -> assertTrue(r.getSource().startsWith("20|ror") || r.getSource().startsWith("50|doi")));
tmp.foreach(r -> assertTrue(r.getTarget().startsWith("20|ror") || r.getTarget().startsWith("50|doi")));
Assertions.assertEquals(24, tmp.count());
Assertions.assertEquals(58, tmp.count());
}
@ -116,7 +112,7 @@ public class CreateASTest {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/webcrawl/input/")
"/eu/dnetlib/dhp/actionmanager/webcrawl/")
.getPath();
String blackListPath = getClass()
.getResource(
@ -198,7 +194,7 @@ public class CreateASTest {
Assertions
.assertEquals(
1, tmp
2, tmp
.filter(
r -> r
.getSource()
@ -211,7 +207,7 @@ public class CreateASTest {
Assertions
.assertEquals(
1, tmp
2, tmp
.filter(
r -> r
.getTarget()
@ -232,13 +228,13 @@ public class CreateASTest {
"20|ror_________::" + IdentifierFactory
.md5(
PidCleaner
.normalizePidValue("ROR", "https://ror.org/03265fv13")))
.normalizePidValue(PidType.doi.toString(), "https://ror.org/03265fv13")))
&& r.getSource().startsWith("50|doi"))
.count());
Assertions
.assertEquals(
0, tmp
1, tmp
.filter(
r -> r
.getTarget()
@ -272,10 +268,6 @@ public class CreateASTest {
.getResource(
"/eu/dnetlib/dhp/actionmanager/webcrawl")
.getPath();
String blackListPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/webcrawl/blackList/")
.getPath();
CreateActionSetFromWebEntries
.main(
@ -285,8 +277,7 @@ public class CreateASTest {
"-sourcePath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet1",
"-blackListPath", blackListPath
workingDir.toString() + "/actionSet1"
});
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());

View File

@ -1,108 +0,0 @@
package eu.dnetlib.dhp.actionmanager.webcrawl;
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.Assertions;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
import eu.dnetlib.dhp.schema.oaf.utils.PidCleaner;
import eu.dnetlib.dhp.schema.oaf.utils.PidType;
/**
* @author miriam.baglioni
* @Date 22/04/24
*/
public class RemoveFromASTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
private static final Logger log = LoggerFactory
.getLogger(RemoveFromASTest.class);
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files
.createTempDirectory(RemoveFromASTest.class.getSimpleName());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(RemoveFromASTest.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(RemoveFromASTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
void testNumberofRelations() throws Exception {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/webcrawl/actionSet/")
.getPath();
String blackListPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/webcrawl/blackListRemove/")
.getPath();
RemoveRelationFromActionSet
.main(
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-sourcePath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet1",
"-blackListPath", blackListPath
});
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Relation> tmp = sc
.sequenceFile(workingDir.toString() + "/actionSet1", Text.class, Text.class)
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
Assertions.assertEquals(22, tmp.count());
}
}

View File

@ -1,64 +0,0 @@
package eu.dnetlib.dhp.collection.plugin.file;
import java.io.IOException;
import java.util.HashMap;
import java.util.Objects;
import java.util.stream.Stream;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.junit.jupiter.api.*;
import org.junit.jupiter.api.extension.ExtendWith;
import org.mockito.junit.jupiter.MockitoExtension;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.collection.ApiDescriptor;
import eu.dnetlib.dhp.common.aggregation.AggregatorReport;
import eu.dnetlib.dhp.common.collection.CollectorException;
@TestMethodOrder(MethodOrderer.OrderAnnotation.class)
@ExtendWith(MockitoExtension.class)
public class FileGZipMultipleNodeTest {
private static final Logger log = LoggerFactory.getLogger(FileGZipCollectorPluginTest.class);
private final ApiDescriptor api = new ApiDescriptor();
private FileGZipCollectorPlugin plugin;
private static final String SPLIT_ON_ELEMENT = "incollection,article";
@BeforeEach
public void setUp() throws IOException {
final String gzipFile = Objects
.requireNonNull(
this
.getClass()
.getResource("/eu/dnetlib/dhp/collection/plugin/file/dblp.gz"))
.getFile();
api.setBaseUrl(gzipFile);
HashMap<String, String> params = new HashMap<>();
params.put("splitOnElement", SPLIT_ON_ELEMENT);
api.setParams(params);
FileSystem fs = FileSystem.get(new Configuration());
plugin = new FileGZipCollectorPlugin(fs);
}
@Test
void test() throws CollectorException {
final Stream<String> stream = plugin.collect(api, new AggregatorReport());
stream.limit(10).forEach(s -> {
Assertions.assertTrue(s.length() > 0);
log.info(s);
});
}
}

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