WIP merged beta into main

This commit is contained in:
Claudio Atzori 2024-09-26 09:23:44 +02:00
parent 2ba67f08d3
commit 81bfe3fe32
127 changed files with 5983 additions and 1862 deletions

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

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

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

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@ -12,9 +12,7 @@ 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;

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@ -468,6 +468,10 @@ public class MergeUtils {
merge.setIsInDiamondJournal(booleanOR(merge.getIsInDiamondJournal(), enrich.getIsInDiamondJournal()));
merge.setPubliclyFunded(booleanOR(merge.getPubliclyFunded(), enrich.getPubliclyFunded()));
if (StringUtils.isBlank(merge.getTransformativeAgreement())) {
merge.setTransformativeAgreement(enrich.getTransformativeAgreement());
}
return merge;
}

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

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

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@ -65,7 +65,11 @@ object ScholixUtils extends Serializable {
}
def generateScholixResourceFromResult(r: Result): ScholixResource = {
generateScholixResourceFromSummary(ScholixUtils.resultToSummary(r))
val sum = ScholixUtils.resultToSummary(r)
if (sum != null)
generateScholixResourceFromSummary(ScholixUtils.resultToSummary(r))
else
null
}
val statsAggregator: Aggregator[(String, String, Long), RelatedEntities, RelatedEntities] =
@ -153,6 +157,14 @@ 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 =>
@ -377,10 +389,7 @@ object ScholixUtils extends Serializable {
if (persistentIdentifiers.isEmpty)
return null
s.setLocalIdentifier(persistentIdentifiers.asJava)
if (r.isInstanceOf[Publication])
s.setTypology(Typology.publication)
else
s.setTypology(Typology.dataset)
// s.setTypology(r.getResulttype.getClassid)
s.setSubType(r.getInstance().get(0).getInstancetype.getClassname)

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

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@ -24,7 +24,7 @@
<executions>
<execution>
<id>scala-compile-first</id>
<phase>initialize</phase>
<phase>process-resources</phase>
<goals>
<goal>add-source</goal>
<goal>compile</goal>
@ -59,14 +59,6 @@
<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>
@ -91,10 +83,6 @@
<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>
@ -113,4 +101,90 @@
</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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@ -2,31 +2,41 @@
package eu.dnetlib.pace.clustering;
import java.util.*;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import java.util.stream.Collectors;
import org.apache.commons.lang3.StringUtils;
import eu.dnetlib.pace.config.Config;
@ClusteringClass("keywordsclustering")
public class KeywordsClustering extends AbstractClusteringFunction {
@ClusteringClass("legalnameclustering")
public class LegalnameClustering extends AbstractClusteringFunction {
public KeywordsClustering(Map<String, Object> params) {
private static final Pattern CITY_CODE_PATTERN = Pattern.compile("city::\\d+");
private static final Pattern KEYWORD_CODE_PATTERN = Pattern.compile("key::\\d+");
public LegalnameClustering(Map<String, Object> params) {
super(params);
}
public Set<String> getRegexList(String input, Pattern codeRegex) {
Matcher matcher = codeRegex.matcher(input);
Set<String> cities = new HashSet<>();
while (matcher.find()) {
cities.add(matcher.group());
}
return cities;
}
@Override
protected Collection<String> doApply(final Config conf, String s) {
// takes city codes and keywords codes without duplicates
Set<String> keywords = getKeywords(s, conf.translationMap(), paramOrDefault("windowSize", 4));
Set<String> cities = getCities(s, paramOrDefault("windowSize", 4));
// list of combination to return as result
final Collection<String> combinations = new LinkedHashSet<String>();
for (String keyword : keywordsToCodes(keywords, conf.translationMap())) {
for (String city : citiesToCodes(cities)) {
for (String keyword : getRegexList(s, KEYWORD_CODE_PATTERN)) {
for (String city : getRegexList(s, CITY_CODE_PATTERN)) {
combinations.add(keyword + "-" + city);
if (combinations.size() >= paramOrDefault("max", 2)) {
return combinations;
@ -42,9 +52,6 @@ public class KeywordsClustering extends AbstractClusteringFunction {
return fields
.stream()
.filter(f -> !f.isEmpty())
.map(KeywordsClustering::cleanup)
.map(KeywordsClustering::normalize)
.map(s -> filterAllStopWords(s))
.map(s -> doApply(conf, s))
.map(c -> filterBlacklisted(c, ngramBlacklist))
.flatMap(c -> c.stream())

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

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

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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
import eu.dnetlib.pace.util.{MapDocumentUtil, SparkCompatUtils}
import org.apache.commons.lang3.StringUtils
import org.apache.spark.sql.catalyst.encoders.RowEncoder
import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
@ -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))(RowEncoder(schema))
df.map(r => rowFromJson(r))(SparkCompatUtils.encoderFor(schema))
}
def rowFromJson(json: String): Row = {
@ -123,9 +123,19 @@ 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)
@ -146,5 +156,17 @@ case class SparkModel(conf: DedupConfig) {
res
}
def inference(value: String, inferfrom: String, infertype: String) : String = {
val res = infertype match {
case "country" => AbstractPaceFunctions.countryInference(value, inferfrom)
case "city" => AbstractPaceFunctions.cityInference(value)
case "keyword" => AbstractPaceFunctions.keywordInference(value)
case "city_keyword" => AbstractPaceFunctions.cityKeywordInference(value)
case _ => value
}
res
}
}

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

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

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@ -2,6 +2,7 @@
package eu.dnetlib.pace.tree;
import java.util.Map;
import java.util.Set;
import com.wcohen.ss.AbstractStringDistance;
@ -12,8 +13,11 @@ 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) {
@ -26,6 +30,7 @@ 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
}
@ -45,4 +50,5 @@ public class CountryMatch extends AbstractStringComparator {
protected double normalize(final double d) {
return d;
}
}

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

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

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

View File

@ -48,7 +48,7 @@ public class TreeNodeDef implements Serializable {
// function for the evaluation of the node
public TreeNodeStats evaluate(Row doc1, Row doc2, Config conf) {
TreeNodeStats stats = new TreeNodeStats();
TreeNodeStats stats = new TreeNodeStats(ignoreUndefined);
// for each field in the node, it computes the
for (FieldConf fieldConf : fields) {

View File

@ -9,8 +9,11 @@ public class TreeNodeStats implements Serializable {
private Map<String, FieldStats> results; // this is an accumulator for the results of the node
public TreeNodeStats() {
private final boolean ignoreUndefined;
public TreeNodeStats(boolean ignoreUndefined) {
this.results = new HashMap<>();
this.ignoreUndefined = ignoreUndefined;
}
public Map<String, FieldStats> getResults() {
@ -22,7 +25,10 @@ public class TreeNodeStats implements Serializable {
}
public int fieldsCount() {
return this.results.size();
if (ignoreUndefined)
return this.results.size();
else
return this.results.size() - undefinedCount(); // do not count undefined
}
public int undefinedCount() {
@ -78,11 +84,22 @@ public class TreeNodeStats implements Serializable {
double min = 100.0; // random high value
for (FieldStats fs : this.results.values()) {
if (fs.getResult() < min) {
if (fs.getResult() >= 0.0 || (fs.getResult() == -1 && fs.isCountIfUndefined()))
if (fs.getResult() == -1) {
if (fs.isCountIfUndefined()) {
min = 0.0;
} else {
min = -1;
}
} else {
min = fs.getResult();
}
}
}
return min;
if (ignoreUndefined) {
return min == -1.0 ? 0.0 : min;
} else {
return min;
}
}
// if at least one is true, return 1.0
@ -91,7 +108,11 @@ public class TreeNodeStats implements Serializable {
if (fieldStats.getResult() >= fieldStats.getThreshold())
return 1.0;
}
return 0.0;
if (!ignoreUndefined && undefinedCount() > 0) {
return -1.0;
} else {
return 0.0;
}
}
// if at least one is false, return 0.0
@ -100,7 +121,7 @@ public class TreeNodeStats implements Serializable {
if (fieldStats.getResult() == -1) {
if (fieldStats.isCountIfUndefined())
return 0.0;
return ignoreUndefined ? 0.0 : -1.0;
} else {
if (fieldStats.getResult() < fieldStats.getThreshold())
return 0.0;

View File

@ -44,12 +44,10 @@ public class TreeProcessor {
TreeNodeStats stats = currentNode.evaluate(doc1, doc2, config);
treeStats.addNodeStats(nextNodeName, stats);
// if ignoreUndefined=false the miss is considered as undefined
if (!currentNode.isIgnoreUndefined() && stats.undefinedCount() > 0) {
double finalScore = stats.getFinalScore(currentNode.getAggregation());
if (finalScore == -1.0)
nextNodeName = currentNode.getUndefined();
}
// if ignoreUndefined=true the miss is ignored and the score computed anyway
else if (stats.getFinalScore(currentNode.getAggregation()) >= currentNode.getThreshold()) {
else if (finalScore >= currentNode.getThreshold()) {
nextNodeName = currentNode.getPositive();
} else {
nextNodeName = currentNode.getNegative();

File diff suppressed because one or more lines are too long

View File

@ -0,0 +1,12 @@
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

@ -0,0 +1,12 @@
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

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

View File

@ -54,4 +54,47 @@ 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

@ -35,6 +35,7 @@ public class ComparatorTest extends AbstractPaceTest {
params.put("name_th", "0.95");
params.put("jpath_value", "$.value");
params.put("jpath_classid", "$.qualifier.classid");
params.put("codeRegex", "key::\\d+");
}
@Test
@ -44,52 +45,23 @@ public class ComparatorTest extends AbstractPaceTest {
}
@Test
public void cityMatchTest() {
final CityMatch cityMatch = new CityMatch(params);
public void codeMatchTest() {
CodeMatch codeMatch = new CodeMatch(params);
// both names with no cities
assertEquals(1.0, cityMatch.distance("Università", "Centro di ricerca", conf));
// both names with no codes
assertEquals(1.0, codeMatch.distance("testing1", "testing2", conf));
// one of the two names with no cities
assertEquals(-1.0, cityMatch.distance("Università di Bologna", "Centro di ricerca", conf));
// one of the two names with no codes
assertEquals(-1.0, codeMatch.distance("testing1 key::1", "testing", conf));
// both names with cities (same)
assertEquals(1.0, cityMatch.distance("Universita di Bologna", "Biblioteca di Bologna", conf));
// both names with codes (same)
assertEquals(1.0, codeMatch.distance("testing1 key::1", "testing2 key::1", conf));
// both names with cities (different)
assertEquals(0.0, cityMatch.distance("Universita di Bologna", "Universita di Torino", conf));
assertEquals(0.0, cityMatch.distance("Franklin College", "Concordia College", conf));
// both names with codes (different)
assertEquals(0.0, codeMatch.distance("testing1 key::1", "testing2 key::2", conf));
// particular cases
assertEquals(1.0, cityMatch.distance("Free University of Bozen-Bolzano", "Università di Bolzano", conf));
assertEquals(
1.0,
cityMatch
.distance(
"Politechniki Warszawskiej (Warsaw University of Technology)", "Warsaw University of Technology",
conf));
// 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));
// both names with codes (1 same, 1 different)
assertEquals(0.5, codeMatch.distance("key::1 key::2 testing1", "key::1 testing", conf));
}
@ -155,15 +127,15 @@ public class ComparatorTest extends AbstractPaceTest {
}
@Test
public void jaroWinklerNormalizedNameTest() {
public void jaroWinklerLegalnameTest() {
final JaroWinklerNormalizedName jaroWinklerNormalizedName = new JaroWinklerNormalizedName(params);
final JaroWinklerLegalname jaroWinklerLegalname = new JaroWinklerLegalname(params);
double result = jaroWinklerNormalizedName
.distance("AT&T (United States)", "United States Military Academy", conf);
double result = jaroWinklerLegalname
.distance("AT&T (United States)", "United States key::2 key::1", conf);
System.out.println("result = " + result);
result = jaroWinklerNormalizedName.distance("NOAA - Servicio Meteorol\\u00f3gico Nacional", "NOAA - NWS", conf);
result = jaroWinklerLegalname.distance("NOAA - Servicio Meteorol\\u00f3gico Nacional", "NOAA - NWS", conf);
System.out.println("result = " + result);
}
@ -344,13 +316,13 @@ public class ComparatorTest extends AbstractPaceTest {
double result = countryMatch.distance("UNKNOWN", "UNKNOWN", conf);
assertEquals(-1.0, result);
result = countryMatch.distance("CHILE", "UNKNOWN", conf);
result = countryMatch.distance("CL", "UNKNOWN", conf);
assertEquals(-1.0, result);
result = countryMatch.distance("CHILE", "ITALY", conf);
result = countryMatch.distance("CL", "IT", conf);
assertEquals(0.0, result);
result = countryMatch.distance("CHILE", "CHILE", conf);
result = countryMatch.distance("CL", "CL", conf);
assertEquals(1.0, result);
}

View File

@ -11,6 +11,7 @@ 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 {

169
dhp-shade-package/pom.xml Normal file
View File

@ -0,0 +1,169 @@
<?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

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

View File

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

View File

@ -10,7 +10,6 @@ import java.util.List;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.BZip2Codec;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;

View File

@ -10,6 +10,7 @@ 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;
@ -83,7 +84,7 @@ public class SparkAtomicActionScoreJob implements Serializable {
resultsRDD
.union(projectsRDD)
.saveAsHadoopFile(
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, BZip2Codec.class);
});
}

View File

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

View File

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

View File

@ -0,0 +1,80 @@
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

@ -0,0 +1,20 @@
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

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

View File

@ -0,0 +1,437 @@
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);
}
}

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

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

View File

@ -5,11 +5,10 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;
import java.util.*;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.io.compress.BZip2Codec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
@ -113,7 +112,7 @@ public class CreateActionSetFromWebEntries implements Serializable {
.mapToPair(
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
new Text(OBJECT_MAPPER.writeValueAsString(aa))))
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, BZip2Codec.class);
}
@ -153,11 +152,40 @@ public class CreateActionSetFromWebEntries implements Serializable {
.select("OpenAlexId");
}
private static List<Relation> createAffiliationRelationPairPMCID(String pmcid, String ror) {
if (pmcid == null)
return new ArrayList<>();
return createAffiliatioRelationPair(
PMCID_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.pmc.toString(), removeResolver("PMC", pmcid))),
ror);
}
private static List<Relation> createAffiliationRelationPairPMID(String pmid, String ror) {
if (pmid == null)
return new ArrayList<>();
return createAffiliatioRelationPair(
PMID_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.pmid.toString(), removeResolver("PMID", pmid))),
ror);
}
private static String removeResolver(String pidType, String pid) {
if (pidType.equals("DOI")) {
return pid.substring(16);
switch (pidType) {
case "PMID":
return pid.substring(33);
case "PMC":
return "PMC" + pid.substring(43);
case "DOI":
return pid.substring(16);
}
throw new IllegalArgumentException("DOI is the only supported PID type");
throw new RuntimeException();
}
private static List<Relation> createAffiliationRelationPairDOI(String doi, String ror) {

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

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@ -0,0 +1,215 @@
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);
}
}

View File

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

View File

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

View File

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

View File

@ -0,0 +1,117 @@
package eu.dnetlib.dhp.collection.plugin.researchfi;
import java.util.Iterator;
import java.util.Queue;
import java.util.concurrent.PriorityBlockingQueue;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.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

@ -8,7 +8,10 @@ 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;
@ -19,6 +22,7 @@ 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;
@ -58,13 +62,23 @@ 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) {
@ -113,7 +127,7 @@ public class XMLIterator implements Iterator<String> {
final XMLEvent event = parser.nextEvent();
// TODO: replace with depth tracking instead of close tag tracking.
if (event.isEndElement() && event.asEndElement().getName().getLocalPart().equals(element)) {
if (event.isEndElement() && isCheckTag(event.asEndElement().getName().getLocalPart())) {
writer.add(event);
break;
}
@ -142,18 +156,16 @@ public class XMLIterator implements Iterator<String> {
XMLEvent peek = parser.peek();
if (peek != null && peek.isStartElement()) {
String name = peek.asStartElement().getName().getLocalPart();
if (element.equals(name)) {
if (isCheckTag(name))
return peek;
}
}
while (parser.hasNext()) {
final XMLEvent event = parser.nextEvent();
XMLEvent event = parser.nextEvent();
if (event != null && event.isStartElement()) {
String name = event.asStartElement().getName().getLocalPart();
if (element.equals(name)) {
if (isCheckTag(name))
return event;
}
}
}
return null;
@ -161,12 +173,31 @@ public class XMLIterator implements Iterator<String> {
private XMLEventReader getParser() {
try {
return inputFactory.get().createXMLEventReader(sanitize(inputStream));
XMLInputFactory xif = inputFactory.get();
xif.setProperty(XMLInputFactory.SUPPORT_DTD, false);
return xif.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

@ -28,7 +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": "wip",
"paramLongName": "webCrawlInputPath",

View File

@ -16,10 +16,11 @@
"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

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

View File

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

View File

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

View File

@ -0,0 +1,111 @@
<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

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

View File

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

View File

@ -0,0 +1,125 @@
<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

@ -1,3 +1,11 @@
sourcePath=/user/miriam.baglioni/openalex-snapshot/data/works/
outputPath=/tmp/miriam/webcrawlComplete/
blackListPath=/user/miriam.baglioni/openalex-blackList
#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

View File

@ -20,12 +20,19 @@
</configuration>
</global>
<start to="create_actionset"/>
<start to="resumeFrom"/>
<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>
@ -50,5 +57,30 @@
<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

@ -517,8 +517,10 @@ case object Crossref2Oaf {
)
}
if(doi.startsWith("10.3410") || doi.startsWith("10.12703"))
instance.setHostedby(OafMapperUtils.keyValue(OafMapperUtils.createOpenaireId(10, "openaire____::H1Connect", true),"H1Connect"))
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)
@ -904,7 +906,11 @@ 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)
@ -1041,6 +1047,7 @@ case object Crossref2Oaf {
tp._1 match {
case "electronic" => journal.setIssnOnline(tp._2)
case "print" => journal.setIssnPrinted(tp._2)
case _ =>
}
})
}

View File

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

View File

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

View File

@ -15,10 +15,7 @@ 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.junit.jupiter.api.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

View File

@ -119,7 +119,9 @@ public class ReadCOCITest {
workingDir.toString() + "/COCI",
"-outputPath",
workingDir.toString() + "/COCI_json/",
"-inputFile", "input1;input2;input3;input4;input5"
"-inputFile", "input1;input2;input3;input4;input5",
"-format",
"COCI"
});
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", "input1;input2;input3;input4;input5"
"--nameNode", "hdfs://localhost"
});
}

View File

@ -0,0 +1,213 @@
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

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

View File

@ -0,0 +1,108 @@
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

@ -0,0 +1,64 @@
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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@ -0,0 +1,103 @@
package eu.dnetlib.dhp.collection.plugin.gtr2;
import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertNotNull;
import java.util.Iterator;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
class Gtr2PublicationsIteratorTest {
private static final String baseURL = "https://gtr.ukri.org/gtr/api";
private static final HttpClientParams clientParams = new HttpClientParams();
@Test
@Disabled
public void testOne() throws Exception {
System.out.println("one publication");
final Iterator<String> iterator = new Gtr2PublicationsIterator(baseURL, null, null, null, clientParams);
if (iterator.hasNext()) {
final String res = iterator.next();
assertNotNull(res);
System.out.println(res);
}
}
@Test
@Disabled
public void testPaging() throws Exception {
final Iterator<String> iterator = new Gtr2PublicationsIterator(baseURL, null, "2", "2", clientParams);
while (iterator.hasNext()) {
Thread.sleep(300);
final String res = iterator.next();
assertNotNull(res);
System.out.println(res);
}
}
@Test
@Disabled
public void testOnePage() throws Exception {
final Iterator<String> iterator = new Gtr2PublicationsIterator(baseURL, null, "12", "12", clientParams);
final int count = iterateAndCount(iterator);
assertEquals(20, count);
}
@Test
@Disabled
public void testIncrementalHarvestingNoRecords() throws Exception {
System.out.println("incremental Harvesting");
final Iterator<String> iterator = new Gtr2PublicationsIterator(baseURL, "2050-12-12T", "11", "13",
clientParams);
final int count = iterateAndCount(iterator);
assertEquals(0, count);
}
@Test
@Disabled
public void testIncrementalHarvesting() throws Exception {
System.out.println("incremental Harvesting");
final Iterator<String> iterator = new Gtr2PublicationsIterator(baseURL, "2016-11-30", "11", "11", clientParams);
final int count = iterateAndCount(iterator);
assertEquals(20, count);
}
@Test
@Disabled
public void testCompleteHarvesting() throws Exception {
System.out.println("testing complete harvesting");
final Iterator<String> iterator = new Gtr2PublicationsIterator(baseURL, null, null, null, clientParams);
// TryIndentXmlString indenter = new TryIndentXmlString();
// it.setEndAtPage(3);
while (iterator.hasNext()) {
final String res = iterator.next();
assertNotNull(res);
// System.out.println(res);
// Scanner keyboard = new Scanner(System.in);
// System.out.println("press enter for next record");
// keyboard.nextLine();
}
}
private int iterateAndCount(final Iterator<String> iterator) throws Exception {
int i = 0;
while (iterator.hasNext()) {
assertNotNull(iterator.next());
i++;
}
System.out.println("Got " + i + " publications");
return i;
}
}

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@ -0,0 +1,122 @@
package eu.dnetlib.dhp.collection.plugin.osf;
import static org.junit.jupiter.api.Assertions.assertTrue;
import static org.junit.jupiter.api.Assertions.fail;
import java.util.HashMap;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.atomic.AtomicLong;
import java.util.stream.Stream;
import org.dom4j.DocumentHelper;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.collection.ApiDescriptor;
import eu.dnetlib.dhp.collection.plugin.utils.JsonUtils;
import eu.dnetlib.dhp.common.aggregation.AggregatorReport;
import eu.dnetlib.dhp.common.collection.CollectorException;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
import eu.dnetlib.dhp.common.collection.HttpConnector2;
public class OsfPreprintsCollectorPluginTest {
private static final Logger log = LoggerFactory.getLogger(OsfPreprintsCollectorPlugin.class);
private final String baseUrl = "https://api.osf.io/v2/preprints/";
private final int pageSize = 100;
private final ApiDescriptor api = new ApiDescriptor();
private OsfPreprintsCollectorPlugin plugin;
@BeforeEach
public void setUp() {
final HashMap<String, String> params = new HashMap<>();
params.put("pageSize", "" + this.pageSize);
this.api.setBaseUrl(this.baseUrl);
this.api.setParams(params);
this.plugin = new OsfPreprintsCollectorPlugin(new HttpClientParams());
}
@Test
@Disabled
void test_one() throws CollectorException {
this.plugin
.collect(this.api, new AggregatorReport())
.limit(1)
.forEach(log::info);
}
@Test
@Disabled
void test_limited() throws CollectorException {
final AtomicInteger i = new AtomicInteger(0);
final Stream<String> stream = this.plugin.collect(this.api, new AggregatorReport());
stream.limit(2000).forEach(s -> {
Assertions.assertTrue(s.length() > 0);
i.incrementAndGet();
log.info(s);
});
log.info("{}", i.intValue());
Assertions.assertTrue(i.intValue() > 0);
}
@Test
@Disabled
void test_all() throws CollectorException {
final AtomicLong i = new AtomicLong(0);
final Stream<String> stream = this.plugin.collect(this.api, new AggregatorReport());
stream.forEach(s -> {
Assertions.assertTrue(s.length() > 0);
if ((i.incrementAndGet() % 1000) == 0) {
log.info("COLLECTED: {}", i.get());
}
});
log.info("TOTAL: {}", i.get());
Assertions.assertTrue(i.get() > 0);
}
@Test
@Disabled
void test_authentication_required() {
final HttpConnector2 connector = new HttpConnector2();
try {
final String res = connector
.getInputSource("https://api.osf.io/v2/preprints/ydtzx/contributors/?format=json");
System.out.println(res);
fail();
} catch (final Throwable e) {
System.out.println("**** ERROR: " + e.getMessage());
if ((e instanceof CollectorException) && e.getMessage().contains("401")) {
System.out.println(" XML: " + DocumentHelper.createDocument().getRootElement().detach());
}
assertTrue(e.getMessage().contains("401"));
}
}
@Test
void testXML() {
final String xml = JsonUtils.convertToXML("{'next':null}");
System.out.println(xml);
}
}

View File

@ -0,0 +1,58 @@
package eu.dnetlib.dhp.collection.plugin.researchfi;
import java.util.HashSet;
import java.util.Set;
import java.util.concurrent.atomic.AtomicLong;
import org.dom4j.DocumentException;
import org.dom4j.DocumentHelper;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import eu.dnetlib.dhp.collection.ApiDescriptor;
import eu.dnetlib.dhp.common.aggregation.AggregatorReport;
import eu.dnetlib.dhp.common.collection.CollectorException;
public class ResearchFiCollectorPluginTest {
private final ResearchFiCollectorPlugin plugin = new ResearchFiCollectorPlugin();
@Test
@Disabled
void testCollect() throws CollectorException {
final ApiDescriptor api = new ApiDescriptor();
api.setBaseUrl("https://research.fi/api/rest/v1/funding-decisions?FunderName=AKA&FundingStartYearFrom=2022");
api.setProtocol("research_fi");
api
.getParams()
.put("auth_url", "https://researchfi-auth.2.rahtiapp.fi/realms/publicapi/protocol/openid-connect/token");
api.getParams().put("auth_client_id", "");
api.getParams().put("auth_client_secret", "");
final AtomicLong count = new AtomicLong(0);
final Set<String> ids = new HashSet<>();
this.plugin.collect(api, new AggregatorReport()).forEach(s -> {
if (count.getAndIncrement() == 0) {
System.out.println("First: " + s);
}
try {
final String id = DocumentHelper.parseText(s).valueOf("/recordWrap/funderProjectNumber");
if (ids.contains(id)) {
System.out.println("Id already present: " + id);
}
ids.add(id);
} catch (final DocumentException e) {
throw new RuntimeException(e);
}
});
System.out.println("Total records: " + count);
System.out.println("Total identifiers: " + ids.size());
}
}

View File

@ -1,105 +0,0 @@
package eu.dnetlib.dhp.collection.plugin.rest;
import java.util.HashMap;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.atomic.AtomicLong;
import java.util.stream.Stream;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
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;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
public class OsfPreprintCollectorTest {
private static final Logger log = LoggerFactory.getLogger(OsfPreprintCollectorTest.class);
private final String baseUrl = "https://api.osf.io/v2/preprints/";
// private final String requestHeaderMap = "";
// private final String authMethod = "";
// private final String authToken = "";
// private final String resultOutputFormat = "";
private final String queryParams = "filter:is_published:d=true";
private final String entityXpath = "/*/*[local-name()='data']";
private final String resultTotalXpath = "/*/*[local-name()='links']/*[local-name()='meta']/*[local-name()='total']";
private final String resumptionParam = "page";
private final String resumptionType = "page";
private final String resumptionXpath = "/*/*[local-name()='links']/*[local-name()='next']";
private final String resultSizeParam = "page[size]";
private final String resultSizeValue = "100";
private final String resultFormatParam = "format";
private final String resultFormatValue = "json";
private final ApiDescriptor api = new ApiDescriptor();
private RestCollectorPlugin rcp;
@BeforeEach
public void setUp() {
final HashMap<String, String> params = new HashMap<>();
params.put("resumptionType", this.resumptionType);
params.put("resumptionParam", this.resumptionParam);
params.put("resumptionXpath", this.resumptionXpath);
params.put("resultTotalXpath", this.resultTotalXpath);
params.put("resultFormatParam", this.resultFormatParam);
params.put("resultFormatValue", this.resultFormatValue);
params.put("resultSizeParam", this.resultSizeParam);
params.put("resultSizeValue", this.resultSizeValue);
params.put("queryParams", this.queryParams);
params.put("entityXpath", this.entityXpath);
this.api.setBaseUrl(this.baseUrl);
this.api.setParams(params);
this.rcp = new RestCollectorPlugin(new HttpClientParams());
}
@Test
@Disabled
void test_limited() throws CollectorException {
final AtomicInteger i = new AtomicInteger(0);
final Stream<String> stream = this.rcp.collect(this.api, new AggregatorReport());
stream.limit(2000).forEach(s -> {
Assertions.assertTrue(s.length() > 0);
i.incrementAndGet();
log.info(s);
});
log.info("{}", i.intValue());
Assertions.assertTrue(i.intValue() > 0);
}
@Test
@Disabled
void test_all() throws CollectorException {
final AtomicLong i = new AtomicLong(0);
final Stream<String> stream = this.rcp.collect(this.api, new AggregatorReport());
stream.forEach(s -> {
Assertions.assertTrue(s.length() > 0);
if ((i.incrementAndGet() % 1000) == 0) {
log.info("COLLECTED: {}", i.get());
}
});
log.info("TOTAL: {}", i.get());
Assertions.assertTrue(i.get() > 0);
}
}

View File

@ -0,0 +1,10 @@
{"orcid":"0000-0001-6291-9619","title":"A Visible Light Driven Photoelectrochemical Chloramphenicol Aptasensor Based on a Gold Nanoparticle-Functionalized 3D Flower-like MoS<sub>2</sub>/TiO<sub>2</sub> Heterostructure","pids":[{"value":"10.1021/acs.langmuir.1c02956","schema":"doi"},{"value":"2-s2.0-85124885368","schema":"eid"},{"value":"15205827 07437463","schema":"issn"}]}
{"orcid":"0000-0002-3210-3034","title":"A Visible Light Driven Photoelectrochemical Chloramphenicol Aptasensor Based on a Gold Nanoparticle-Functionalized 3D Flower-like MoS<sub>2</sub>/TiO<sub>2</sub> Heterostructure","pids":[{"value":"10.1021/acs.langmuir.1c02956","schema":"doi"},{"value":"2-s2.0-85124885368","schema":"eid"},{"value":"15205827 07437463","schema":"issn"}]}
{"orcid":"0000-0001-6291-9619","title":"Study of High-Transverse-Momentum Higgs Boson Production in Association with a Vector Boson in the <math display=\"inline\"><mrow><mi>q</mi><mi>q</mi><mi>b</mi><mi>b</mi></mrow></math> Final State with the ATLAS Detector","pids":[{"value":"2736741","schema":"other-id"},{"value":"10.1103/PhysRevLett.132.131802","schema":"doi"},{"value":"2312.07605","schema":"arxiv"}]}
{"orcid":"0000-0002-3210-3034","title":"Study of High-Transverse-Momentum Higgs Boson Production in Association with a Vector Boson in the <math display=\"inline\"><mrow><mi>q</mi><mi>q</mi><mi>b</mi><mi>b</mi></mrow></math> Final State with the ATLAS Detector","pids":[{"value":"2736741","schema":"other-id"},{"value":"10.1103/PhysRevLett.132.131802","schema":"doi"},{"value":"2312.07605","schema":"arxiv"}]}
{"orcid":"0000-0002-9030-7609","title":"Search for supersymmetry in a final state containing two photons and missing transverse momentum in √s = 13 TeV pp collisions at the LHC using the ATLAS detector","pids":[{"value":"10.1140/epjc/s10052-016-4344-x","schema":"doi"},{"value":"2-s2.0-84988710988","schema":"eid"},{"value":"14346052 14346044","schema":"issn"}]}
{"orcid":"0000-0003-2552-9691","title":"Search for supersymmetry in a final state containing two photons and missing transverse momentum in $\\sqrt{s}$ = 13 TeV $pp$ collisions at the LHC using the ATLAS detector","pids":[{"value":"1473744","schema":"other-id"},{"value":"10.1140/epjc/s10052-016-4344-x","schema":"doi"},{"value":"1606.09150","schema":"arxiv"}]}
{"orcid":"0000-0003-0305-8980","title":"Search for supersymmetry in a final state containing two photons and missing transverse momentum in √s = 13 TeV pp collisions at the LHC using the ATLAS detector","pids":[{"value":"10.1140/epjc/s10052-016-4344-x","schema":"doi"},{"value":"2-s2.0-84988710988","schema":"eid"}]}
{"orcid":"0000-0002-9030-7609","title":"Measurement of the energy response of the ATLAS calorimeter to charged pions from $W^{\\pm }\\rightarrow \\tau ^{\\pm }(\\rightarrow \\pi ^{\\pm }\\nu _{\\tau })\\nu _{\\tau }$ events in Run 2 data","pids":[{"value":"1909507","schema":"other-id"},{"value":"10.1140/epjc/s10052-022-10117-2","schema":"doi"},{"value":"2108.09043","schema":"arxiv"}]}
{"orcid":"0000-0003-2629-4046","title":"Measurement of the energy response of the ATLAS calorimeter to charged pions from $W^{\\pm }\\rightarrow \\tau ^{\\pm }(\\rightarrow \\pi ^{\\pm }\\nu _{\\tau })\\nu _{\\tau }$ events in Run 2 data","pids":[{"value":"1909507","schema":"other-id"},{"value":"10.1140/epjc/s10052-022-10117-2","schema":"doi"},{"value":"2108.09043","schema":"arxiv"}]}
{"orcid":"0000-0001-8582-8912","title":"Measurement of the energy response of the ATLAS calorimeter to charged pions from $W^{\\pm }\\rightarrow \\tau ^{\\pm }(\\rightarrow \\pi ^{\\pm }\\nu _{\\tau })\\nu _{\\tau }$ events in Run 2 data","pids":[{"value":"1909507","schema":"other-id"},{"value":"10.1140/epjc/s10052-022-10117-2","schema":"doi"},{"value":"2108.09043","schema":"arxiv"}]}

View File

@ -0,0 +1 @@
{"doi":"https://doi.org/10.1098/rstl.1684.0023","OpenAlexId":"https://openalex.org/W2124362779"}

View File

@ -789,10 +789,6 @@
"value": "2227-9717",
"type": "electronic"
},
{
"value": "VALUE",
"type": "PIPPO"
},
{
"value": "1063-4584",
"type": "pu"

View File

@ -2,7 +2,9 @@ package eu.dnetlib.dhp.collection.crossref
import com.fasterxml.jackson.databind.ObjectMapper
import eu.dnetlib.dhp.aggregation.AbstractVocabularyTest
import org.junit.jupiter.api.BeforeEach
import eu.dnetlib.dhp.collection.crossref.Crossref2Oaf.TransformationType
import org.apache.commons.io.IOUtils
import org.junit.jupiter.api.{BeforeEach, Test}
import org.junit.jupiter.api.extension.ExtendWith
import org.mockito.junit.jupiter.MockitoExtension
import org.slf4j.{Logger, LoggerFactory}
@ -18,4 +20,13 @@ class CrossrefMappingTest extends AbstractVocabularyTest {
super.setUpVocabulary()
}
@Test
def mappingRecord(): Unit = {
val input =
IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/collection/crossref/issn_pub.json"), "utf-8")
println(Crossref2Oaf.convert(input, vocabularies, TransformationType.All))
}
}

View File

@ -26,7 +26,7 @@ class MAGMappingTest {
@Test
def mappingMagType(): Unit = {
checkResult[Publication](MagUtility.createResultFromType(null, null), invisible = false, "Other literature type")
checkResult[Publication](MagUtility.createResultFromType(null, null), invisible = true, "Other literature type")
checkResult[Publication](
MagUtility.createResultFromType(Some("BookChapter"), null),
invisible = false,

View File

@ -16,6 +16,7 @@ import org.mockito.junit.jupiter.MockitoExtension
import java.io.{BufferedReader, InputStream, InputStreamReader}
import java.util.zip.GZIPInputStream
import javax.xml.stream.XMLInputFactory
import scala.collection.JavaConverters._
import scala.collection.mutable.ListBuffer
import scala.io.Source
@ -49,10 +50,8 @@ class BioScholixTest extends AbstractVocabularyTest {
@Test
def testEBIData() = {
val inputXML = Source
.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
.mkString
val xml = new XMLEventReader(Source.fromBytes(inputXML.getBytes()))
val inputFactory = XMLInputFactory.newInstance
val xml = inputFactory.createXMLEventReader(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
new PMParser(xml).foreach(s => println(mapper.writeValueAsString(s)))
}
@ -91,9 +90,10 @@ class BioScholixTest extends AbstractVocabularyTest {
@Test
def testParsingPubmedXML(): Unit = {
val xml = new XMLEventReader(
Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
)
val inputFactory = XMLInputFactory.newInstance
val xml = inputFactory.createXMLEventReader(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
val parser = new PMParser(xml)
parser.foreach(checkPMArticle)
}
@ -156,9 +156,9 @@ class BioScholixTest extends AbstractVocabularyTest {
@Test
def testPubmedMapping(): Unit = {
val xml = new XMLEventReader(
Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
)
val inputFactory = XMLInputFactory.newInstance
val xml = inputFactory.createXMLEventReader(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
val parser = new PMParser(xml)
val results = ListBuffer[Oaf]()
parser.foreach(x => results += PubMedToOaf.convert(x, vocabularies))

View File

@ -53,24 +53,10 @@
<artifactId>dhp-pace-core</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-lang3</artifactId>
</dependency>
<dependency>
<groupId>org.scala-lang.modules</groupId>
<artifactId>scala-java8-compat_${scala.binary.version}</artifactId>
<version>1.0.2</version>
</dependency>
<dependency>
<groupId>org.scala-lang.modules</groupId>
<artifactId>scala-collection-compat_${scala.binary.version}</artifactId>
<version>2.11.0</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_${scala.binary.version}</artifactId>
@ -79,16 +65,10 @@
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_${scala.binary.version}</artifactId>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-graphx_${scala.binary.version}</artifactId>
</dependency>
<dependency>
<groupId>com.arakelian</groupId>
<artifactId>java-jq</artifactId>
</dependency>
<dependency>
<groupId>dom4j</groupId>
<artifactId>dom4j</artifactId>
@ -101,10 +81,6 @@
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-core</artifactId>
</dependency>
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpclient</artifactId>

View File

@ -42,6 +42,7 @@ import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.util.SparkCompatUtils;
import scala.Tuple3;
import scala.collection.JavaConversions;
@ -148,8 +149,7 @@ public class SparkCreateMergeRels extends AbstractSparkAction {
Dataset<Row> pivotHistory = spark
.createDataset(
Collections.emptyList(),
RowEncoder
.apply(StructType.fromDDL("id STRING, lastUsage STRING")));
SparkCompatUtils.encoderFor(StructType.fromDDL("id STRING, lastUsage STRING")));
if (StringUtils.isNotBlank(pivotHistoryDatabase)) {
pivotHistory = spark

View File

@ -8,7 +8,6 @@ import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.ReduceFunction;
import org.apache.spark.sql.*;
import org.apache.spark.sql.catalyst.encoders.RowEncoder;
import org.apache.spark.sql.types.StructType;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@ -23,6 +22,7 @@ import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.schema.oaf.utils.MergeUtils;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
import eu.dnetlib.pace.util.SparkCompatUtils;
import scala.Tuple2;
import scala.Tuple3;
@ -145,7 +145,7 @@ public class SparkPropagateRelation extends AbstractSparkAction {
StructType idsSchema = StructType
.fromDDL("`id` STRING, `dataInfo` STRUCT<`deletedbyinference`:BOOLEAN,`invisible`:BOOLEAN>");
Dataset<Row> allIds = spark.emptyDataset(RowEncoder.apply(idsSchema));
Dataset<Row> allIds = spark.emptyDataset(SparkCompatUtils.encoderFor(idsSchema));
for (EntityType entityType : ModelSupport.entityTypes.keySet()) {
String entityPath = graphBasePath + '/' + entityType.name();

File diff suppressed because one or more lines are too long

View File

@ -190,7 +190,7 @@ public class SparkDedupTest implements Serializable {
System.out.println("orp_simrel = " + orp_simrel);
if (CHECK_CARDINALITIES) {
assertEquals(751, orgs_simrel);
assertEquals(742, orgs_simrel);
assertEquals(566, pubs_simrel);
assertEquals(113, sw_simrel);
assertEquals(148, ds_simrel);
@ -251,7 +251,7 @@ public class SparkDedupTest implements Serializable {
// entities simrels supposed to be equal to the number of previous step (no rels in whitelist)
if (CHECK_CARDINALITIES) {
assertEquals(751, orgs_simrel);
assertEquals(742, orgs_simrel);
assertEquals(566, pubs_simrel);
assertEquals(148, ds_simrel);
assertEquals(280, orp_simrel);
@ -442,7 +442,7 @@ public class SparkDedupTest implements Serializable {
final List<Relation> merges = pubs
.filter("source == '50|arXiv_dedup_::c93aeb433eb90ed7a86e29be00791b7c'")
.collectAsList();
assertEquals(3, merges.size());
assertEquals(1, merges.size());
Set<String> dups = Sets
.newHashSet(
"50|doi_________::3b1d0d8e8f930826665df9d6b82fbb73",
@ -451,7 +451,7 @@ public class SparkDedupTest implements Serializable {
merges.forEach(r -> {
assertEquals(ModelConstants.RESULT_RESULT, r.getRelType());
assertEquals(ModelConstants.DEDUP, r.getSubRelType());
assertEquals(ModelConstants.MERGES, r.getRelClass());
assertEquals(ModelConstants.IS_MERGED_IN, r.getRelClass());
assertTrue(dups.contains(r.getTarget()));
});
@ -561,7 +561,7 @@ public class SparkDedupTest implements Serializable {
System.out.println("orp_mergerel = " + orp_mergerel);
if (CHECK_CARDINALITIES) {
assertEquals(1268, orgs_mergerel);
assertEquals(1278, orgs_mergerel);
assertEquals(1156, pubs.count());
assertEquals(292, sw_mergerel);
assertEquals(476, ds_mergerel);
@ -618,7 +618,7 @@ public class SparkDedupTest implements Serializable {
System.out.println("orp_deduprecord = " + orp_deduprecord);
if (CHECK_CARDINALITIES) {
assertEquals(86, orgs_deduprecord);
assertEquals(78, orgs_deduprecord);
assertEquals(96, pubs.count());
assertEquals(47, sw_deduprecord);
assertEquals(97, ds_deduprecord);
@ -761,7 +761,7 @@ public class SparkDedupTest implements Serializable {
if (CHECK_CARDINALITIES) {
assertEquals(930, publications);
assertEquals(839, organizations);
assertEquals(831, organizations);
assertEquals(100, projects);
assertEquals(100, datasource);
assertEquals(196, softwares);

View File

@ -22,8 +22,11 @@ import java.util.Properties;
import org.apache.commons.io.FileUtils;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.*;
import org.junit.jupiter.api.extension.ExtendWith;
@ -143,7 +146,7 @@ public class SparkOpenorgsDedupTest implements Serializable {
.load(DedupUtility.createSimRelPath(testOutputBasePath, testActionSetId, "organization"))
.count();
assertEquals(86, orgs_simrel);
assertEquals(92, orgs_simrel);
}
@Test
@ -172,7 +175,7 @@ public class SparkOpenorgsDedupTest implements Serializable {
.load(DedupUtility.createSimRelPath(testOutputBasePath, testActionSetId, "organization"))
.count();
assertEquals(122, orgs_simrel);
assertEquals(128, orgs_simrel);
}
@Test
@ -207,7 +210,7 @@ public class SparkOpenorgsDedupTest implements Serializable {
.read()
.load(testOutputBasePath + "/" + testActionSetId + "/organization_mergerel")
.count();
assertEquals(132, orgs_mergerel);
assertEquals(128, orgs_mergerel);
// verify that a DiffRel is in the mergerels (to be sure that the job supposed to remove them has something to
// do)

View File

@ -143,7 +143,9 @@ public class SparkPublicationRootsTest2 implements Serializable {
"--graphBasePath", graphInputPath,
"--actionSetId", testActionSetId,
"--isLookUpUrl", "lookupurl",
"--workingPath", workingPath
"--workingPath", workingPath,
"--hiveMetastoreUris", "none",
"--pivotHistoryDatabase", "none"
}), spark)
.run(isLookUpService);

View File

@ -9,6 +9,7 @@ import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.Test;
import org.junit.platform.commons.util.StringUtils;
import eu.dnetlib.dhp.oa.dedup.SparkOpenorgsDedupTest;
import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.model.SparkModel;
@ -24,6 +25,31 @@ class JsonPathTest {
Row row = SparkModel.apply(conf).rowFromJson(org);
System.out.println("row = " + row);
Assertions.assertNotNull(row);
Assertions.assertTrue(StringUtils.isNotBlank(row.getAs("identifier")));
System.out.println("row = " + row.getAs("countrytitle"));
}
@Test
void jsonToModelTest() throws IOException {
DedupConfig conf = DedupConfig
.load(
IOUtils
.toString(
SparkOpenorgsDedupTest.class
.getResourceAsStream(
"/eu/dnetlib/dhp/dedup/conf/org.curr.conf.json")));
final String org = IOUtils.toString(getClass().getResourceAsStream("organization_example1.json"));
Row row = SparkModel.apply(conf).rowFromJson(org);
// to check that the same parsing returns the same row
Row row1 = SparkModel.apply(conf).rowFromJson(org);
Assertions.assertEquals(row, row1);
System.out.println("row = " + row);
Assertions.assertNotNull(row);
Assertions.assertTrue(StringUtils.isNotBlank(row.getAs("identifier")));
}

View File

@ -4,8 +4,8 @@
"dedupRun" : "001",
"entityType" : "organization",
"subEntityValue": "organization",
"orderField" : "legalname",
"queueMaxSize" : "2000",
"orderField" : "original_legalname",
"queueMaxSize" : "100000",
"groupMaxSize" : "50",
"slidingWindowSize" : "200",
"idPath":"$.id",
@ -15,10 +15,10 @@
},
"pace" : {
"clustering" : [
{ "name" : "sortedngrampairs", "fields" : [ "legalname" ], "params" : { "max" : 2, "ngramLen" : "3"} },
{ "name" : "suffixprefix", "fields" : [ "legalname" ], "params" : { "max" : 1, "len" : "3" } },
{ "name" : "sortedngrampairs", "fields" : [ "original_legalname" ], "params" : { "max" : 2, "ngramLen" : "3"} },
{ "name" : "suffixprefix", "fields" : [ "original_legalname" ], "params" : { "max" : 1, "len" : "3" } },
{ "name" : "urlclustering", "fields" : [ "websiteurl" ], "params" : { } },
{ "name" : "keywordsclustering", "fields" : [ "legalname" ], "params" : { "max": 2, "windowSize": 4} }
{ "name" : "legalnameclustering", "fields" : [ "legalname" ], "params" : { "max": 2} }
],
"decisionTree" : {
"start": {
@ -29,16 +29,23 @@
"weight": 1,
"countIfUndefined": "false",
"params": {}
},
{
"field": "rorid",
"comparator": "exactMatch",
"weight": 1,
"countIfUndefined": "false",
"params": {}
}
],
"threshold": 1,
"aggregation": "AVG",
"aggregation": "OR",
"positive": "MATCH",
"negative": "NO_MATCH",
"undefined": "layer2",
"undefined": "necessaryConditions",
"ignoreUndefined": "false"
},
"layer2": {
"necessaryConditions": {
"fields": [
{
"field": "websiteurl",
@ -55,14 +62,14 @@
"params": {}
},
{
"field": "legalname",
"field": "original_legalname",
"comparator": "numbersMatch",
"weight": 1,
"countIfUndefined": "true",
"params": {}
},
{
"field": "legalname",
"field": "original_legalname",
"comparator": "romansMatch",
"weight": 1,
"countIfUndefined": "true",
@ -71,68 +78,64 @@
],
"threshold": 1,
"aggregation": "AND",
"positive": "layer3",
"positive": "cityCheck",
"negative": "NO_MATCH",
"undefined": "layer3",
"undefined": "cityCheck",
"ignoreUndefined": "true"
},
"layer3": {
"cityCheck": {
"fields": [
{
"field": "legalname",
"comparator": "cityMatch",
"comparator": "codeMatch",
"weight": 1.0,
"countIfUndefined": "true",
"params": {
"windowSize": "4"
"codeRegex": "city::\\d+"
}
}
],
"threshold": 0.1,
"aggregation": "AVG",
"positive": "layer4",
"positive": "keywordCheck",
"negative": "NO_MATCH",
"undefined": "NO_MATCH",
"ignoreUndefined": "true"
},
"layer4": {
"keywordCheck": {
"fields": [
{
"field": "legalname",
"comparator": "keywordMatch",
"comparator": "codeMatch",
"weight": 1.0,
"countIfUndefined": "true",
"params": {
"windowSize": "4"
"codeRegex": "key::\\d+"
}
}
],
"threshold": 0.7,
"aggregation": "AVG",
"positive": "layer5",
"positive": "nameCheck",
"negative": "NO_MATCH",
"undefined": "layer5",
"undefined": "nameCheck",
"ignoreUndefined": "true"
},
"layer5": {
"nameCheck": {
"fields": [
{
"field": "legalname",
"comparator": "jaroWinklerNormalizedName",
"comparator": "jaroWinklerLegalname",
"weight": 0.9,
"countIfUndefined": "true",
"params": {
"windowSize": "4"
}
"params": {}
},
{
"field": "legalshortname",
"comparator": "jaroWinklerNormalizedName",
"comparator": "jaroWinklerLegalname",
"weight": 0.1,
"countIfUndefined": "false",
"params": {
"windowSize": 4
}
"params": {}
}
],
"threshold": 0.9,
@ -144,126 +147,16 @@
}
},
"model" : [
{ "name" : "country", "type" : "String", "path" : "$.country.classid"},
{ "name" : "legalshortname", "type" : "String", "path" : "$.legalshortname.value"},
{ "name" : "legalname", "type" : "String", "path" : "$.legalname.value" },
{ "name" : "country", "type" : "String", "path" : "$.country.classid", "infer" : "country", "inferenceFrom" : "$.legalname.value"},
{ "name" : "legalshortname", "type" : "String", "path" : "$.legalshortname.value", "infer" : "city_keyword"},
{ "name" : "original_legalname", "type" : "String", "path" : "$.legalname.value" },
{ "name" : "legalname", "type" : "String", "path" : "$.legalname.value", "infer" : "city_keyword"},
{ "name" : "websiteurl", "type" : "URL", "path" : "$.websiteurl.value" },
{ "name" : "gridid", "type" : "String", "path" : "$.pid[?(@.qualifier.classid =='grid')].value"},
{ "name" : "rorid", "type" : "String", "path" : "$.pid[?(@.qualifier.classid =='ROR')].value"},
{ "name" : "originalId", "type" : "String", "path" : "$.id" }
],
"blacklists" : {
"legalname" : []
},
"synonyms": {
"key::1": ["university","università", "universitas", "università studi","universitario","universitaria","université", "universite", "universitaire","universitaires","universidad","universitade","Universität","universitaet","Uniwersytet","университет","universiteit","πανεπιστήμιο","universitesi","universiteti", "universiti"],
"key::2": ["studies","studi","études","estudios","estudos","Studien","studia","исследования","studies","σπουδές"],
"key::3": ["advanced","superiore","supérieur","supérieure","supérieurs","supérieures","avancado","avancados","fortgeschrittene","fortgeschritten","zaawansowany","передовой","gevorderd","gevorderde","προχωρημένος","προχωρημένη","προχωρημένο","προχωρημένες","προχωρημένα","wyzsza"],
"key::4": ["institute","istituto","institut","instituto","instituto","Institut","instytut","институт","instituut","ινστιτούτο"],
"key::5": ["hospital","ospedale","hôpital","hospital","hospital","Krankenhaus","szpital","больница","ziekenhuis","νοσοκομείο"],
"key::6": ["research","ricerca","recherche","investigacion","pesquisa","Forschung","badania","исследования","onderzoek","έρευνα","erevna","erevnas"],
"key::7": ["college","collegio","colegio","faculdade","Hochschule","Szkoła Wyższa","Высшая школа","κολλέγιο"],
"key::8": ["foundation","fondazione","fondation","fundación","fundação","Stiftung","Fundacja","фонд","stichting","ίδρυμα","idryma"],
"key::9": ["center","centro","centre","centro","centro","zentrum","centrum","центр","centrum","κέντρο"],
"key::10": ["national","nazionale","national","nationale","nationaux","nationales","nacional","nacional","national","krajowy","национальный","nationaal","nationale","εθνικό"],
"key::11": ["association","associazione","association","asociación","associação","Verein","verband","stowarzyszenie","ассоциация","associatie"],
"key::12": ["society","societa","société","sociedad","sociedade","gesellschaft","społeczeństwo","общество","maatschappij","κοινωνία"],
"key::13": ["international","internazionale","international","internacional","internacional","international","międzynarodowy","Международный","internationaal","internationale","διεθνής","διεθνή","διεθνές"],
"key::14": ["community","comunita","communauté","comunidad","comunidade","Gemeinschaft","społeczność","сообщество","gemeenschap","κοινότητα"],
"key::15": ["school","scuola","école","escuela","escola","schule","Szkoła","школа","school","σχολείο"],
"key::16": ["education","educazione","éducation","educacion","Educação","Bildung","Edukacja","образование","opleiding","εκπαίδευση"],
"key::17": ["academy","accademia","académie","academia","academia","Akademie","akademie","академия","academie","ακαδημία"],
"key::18": ["public","pubblico","public","publique","publics","publiques","publico","publico","Öffentlichkeit","publiczny","публичный","publiek","publieke","δημόσιος","δημόσια","δημόσιο"],
"key::19": ["museum","museo","musée","mueso","museu","museum","muzeum","музей","museum","μουσείο"],
"key::20": ["group","gruppo","groupe","grupo","grupo","gruppe","grupa","группа","groep","ομάδα","όμιλος"],
"key::21": ["department","dipartimento","département","departamento","departamento","abteilung","departament","отдел","afdeling","τμήμα"],
"key::22": ["council","consiglio","conseil","Consejo","conselho","gesellschaft","rada","совет","raad","συμβούλιο"],
"key::23": ["library","biblioteca","bibliothèque","biblioteca","biblioteca","Bibliothek","biblioteka","библиотека","bibliotheek","βιβλιοθήκη"],
"key::24": ["ministry","ministero","ministère","ministerio","ministério","Ministerium","ministerstwo","министерство","ministerie","υπουργείο"],
"key::25": ["services","servizi","services","servicios","Serviços","Dienstleistungen","usługi","услуги","diensten","υπηρεσίες"],
"key::26": ["central","centrale","central","centrale","centrales","central","central","zentral","centralny","цетральный","centraal","κεντρικός","κεντρική","κεντρικό","κεντρικά"],
"key::27": ["general","generale","général","générale","généraux","générales","general","geral","general","Allgemeines","general","общий","algemeen","algemene","γενικός","γενική","γενικό","γενικά"],
"key::28": ["applied","applicati","appliqué","appliquée","appliqués","appliquées","aplicado","aplicada","angewendet","stosowany","прикладной","toegepast","toegepaste","εφαρμοσμένος","εφαρμοσμένη","εφαρμοσμένο","εφαρμοσμένα"],
"key::29": ["european","europee","europea","européen","européenne","européens","européennes","europeo","europeu","europäisch","europejski","европейский","Europees","Europese","ευρωπαϊκός","ευρωπαϊκή","ευρωπαϊκό","ευρωπαϊκά"],
"key::30": ["agency","agenzia","agence","agencia","agencia","agentur","agencja","агенция","agentschap","πρακτορείο"],
"key::31": ["laboratory","laboratorio","laboratoire","laboratorio","laboratorio","labor","laboratorium","лаборатория","laboratorium","εργαστήριο"],
"key::32": ["industry","industria","industrie","индустрия","industrie","βιομηχανία"],
"key::33": ["industrial","industriale","industriel","industrielle","industriels","industrielles","индустриальный","industrieel","βιομηχανικός","βιομηχανική","βιομηχανικό","βιομηχανικά","βιομηχανικές"],
"key::34": ["consortium","consorzio","consortium","консорциум","consortium","κοινοπραξία"],
"key::35": ["organization","organizzazione","organisation","organización","organização","organizacja","организация","organisatie","οργανισμός"],
"key::36": ["authority","autorità","autorité","авторитет","autoriteit"],
"key::37": ["federation","federazione","fédération","федерация","federatie","ομοσπονδία"],
"key::38": ["observatory","osservatorio","observatoire","обсерватория","observatorium","αστεροσκοπείο"],
"key::39": ["bureau","ufficio","bureau","офис","bureau","γραφείο"],
"key::40": ["company","impresa","compagnie","société","компания","bedrijf","εταιρία"],
"key::41": ["polytechnic","politecnico","polytechnique","политехника","polytechnisch","πολυτεχνείο","universita politecnica","polytechnic university","universidad politecnica","universitat politecnica","politechnika","politechniki","university technology","university science technology"],
"key::42": ["coalition","coalizione","coalition","коалиция","coalitie","συνασπισμός"],
"key::43": ["initiative","iniziativa","initiative","инициатива","initiatief","πρωτοβουλία"],
"key::44": ["academic","accademico","académique","universitaire","акадеческий academisch","ακαδημαϊκός","ακαδημαϊκή","ακαδημαϊκό","ακαδημαϊκές","ακαδημαϊκοί"],
"key::45": ["institution","istituzione","institution","институциональный","instelling","ινστιτούτο"],
"key::46": ["division","divisione","division","отделение","divisie","τμήμα"],
"key::47": ["committee","comitato","comité","комитет","commissie","επιτροπή"],
"key::48": ["promotion","promozione","продвижение","proothisis","forderung"],
"key::49": ["medical","medicine","clinical","medicina","clinici","médico","medicina","clínica","médico","medicina","clínica","medizinisch","Medizin","klinisch","medisch","geneeskunde","klinisch","ιατρικός","ιατρική","ιατρικό","ιατρικά","κλινικός","κλινική","κλινικό","κλινικά","tıbbi","tıp","klinik","orvosi","orvostudomány","klinikai","zdravniški","medicinski","klinični","meditsiini","kliinik","kliiniline"],
"key::50": ["technology","technological","tecnologia","tecnologie","tecnología","tecnológico","tecnologia","tecnológico","Technologie","technologisch","technologie","technologisch","τεχνολογία","τεχνολογικός","τεχνολογική","τεχνολογικό","teknoloji","teknolojik","technológia","technológiai","tehnologija","tehnološki","tehnoloogia","tehnoloogiline","technologii","technical","texniki","teknik"],
"key::51": ["science","scientific","scienza","scientifiche","scienze","ciencia","científico","ciência","científico","Wissenschaft","wissenschaftlich","wetenschap","wetenschappelijk","επιστήμη","επιστημονικός","επιστημονική","επιστημονικό","επιστημονικά","bilim","bilimsel","tudomány","tudományos","znanost","znanstveni","teadus","teaduslik",""],
"key::52": ["engineering","ingegneria","ingeniería","engenharia","Ingenieurwissenschaft","ingenieurswetenschappen","bouwkunde","μηχανικός","μηχανική","μηχανικό","mühendislik","mérnöki","Inženirstvo","inseneeria","inseneri",""],
"key::53": ["management","gestione","gestionale","gestionali","gestión","administración","gestão","administração","Verwaltung","management","διαχείριση","yönetim","menedzsment","vodstvo","upravljanje","management","juhtkond","juhtimine","haldus",""],
"key::54": ["energy","energia","energía","energia","Energie","energie","ενέργεια","enerji","energia","energija","energia",""],
"key::55": ["agricultural","agriculture","agricoltura","agricole","agrícola","agricultura","agrícola","agricultura","landwirtschaftlich","Landwirtschaft","landbouwkundig","landbouw","αγροτικός","αγροτική","αγροτικό","γεωργικός","γεωργική","γεωργικό","γεωργία","tarımsal","tarım","mezőgazdasági","mezőgazdaság","poljedelski","poljedelstvo","põllumajandus","põllumajanduslik",""],
"key::56": ["information","informazione","información","informação","Information","informatie","πληροφορία","bilgi","információ","informacija","informatsioon","informatycznych",""],
"key::57": ["social","sociali","social","social","Sozial","sociaal","maatschappelijk","κοινωνικός","κοινωνική","κοινωνικό","κοινωνικά","sosyal","szociális","družbeni","sotsiaal","sotsiaalne",""],
"key::58": ["environmental","ambiente","medioambiental","ambiente","medioambiente","meioambiente","Umwelt","milieu","milieuwetenschap","milieukunde","περιβαλλοντικός","περιβαλλοντική","περιβαλλοντικό","περιβαλλοντικά","çevre","környezeti","okoliški","keskonna",""],
"key::59": ["business","economia","economiche","economica","negocio","empresa","negócio","Unternehmen","bedrijf","bedrijfskunde","επιχείρηση","iş","üzleti","posel","ettevõte/äri",""],
"key::60": ["pharmaceuticals","pharmacy","farmacia","farmaceutica","farmacéutica","farmacia","farmacêutica","farmácia","Pharmazeutika","Arzneimittelkunde","farmaceutica","geneesmiddelen","apotheek","φαρμακευτικός","φαρμακευτική","φαρμακευτικό","φαρμακευτικά","φαρμακείο","ilaç","eczane","gyógyszerészeti","gyógyszertár","farmacevtika","lekarništvo","farmaatsia","farmatseutiline",""],
"key::61": ["healthcare","health services","salute","atenciónmédica","cuidadodelasalud","cuidadoscomasaúde","Gesundheitswesen","gezondheidszorg","ιατροφαρμακευτικήπερίθαλψη","sağlıkhizmeti","egészségügy","zdravstvo","tervishoid","tervishoiu",""],
"key::62": ["history","storia","historia","história","Geschichte","geschiedenis","geschiedkunde","ιστορία","tarih","történelem","zgodovina","ajalugu",""],
"key::63": ["materials","materiali","materia","materiales","materiais","materialen","υλικά","τεκμήρια","malzemeler","anyagok","materiali","materjalid","vahendid",""],
"key::64": ["economics","economia","economiche","economica","economía","economia","Wirtschaft","economie","οικονομικά","οικονομικέςεπιστήμες","ekonomi","közgazdaságtan","gospodarstvo","ekonomija","majanduslik","majandus",""],
"key::65": ["therapeutics","terapeutica","terapéutica","terapêutica","therapie","θεραπευτική","tedavibilimi","gyógykezelés","terapevtika","terapeutiline","ravi",""],
"key::66": ["oncology","oncologia","oncologico","oncología","oncologia","Onkologie","oncologie","ογκολογία","onkoloji","onkológia","onkologija","onkoloogia",""],
"key::67": ["natural","naturali","naturale","natural","natural","natürlich","natuurlijk","φυσικός","φυσική","φυσικό","φυσικά","doğal","természetes","naraven","loodus",""],
"key::68": ["educational","educazione","pedagogia","educacional","educativo","educacional","pädagogisch","educatief","εκπαιδευτικός","εκπαιδευτική","εκπαιδευτικό","εκπαιδευτικά","eğitimsel","oktatási","izobraževalen","haridus","hariduslik",""],
"key::69": ["biomedical","biomedica","biomédico","biomédico","biomedizinisch","biomedisch","βιοιατρικός","βιοιατρική","βιοιατρικό","βιοιατρικά","biyomedikal","orvosbiológiai","biomedicinski","biomeditsiiniline",""],
"key::70": ["veterinary","veterinaria","veterinarie","veterinaria","veterinária","tierärtzlich","veterinair","veeartsenijlkunde","κτηνιατρικός","κτηνιατρική","κτηνιατρικό","κτηνιατρικά","veteriner","állatorvosi","veterinar","veterinarski","veterinaaria",""],
"key::71": ["chemistry","chimica","química","química","Chemie","chemie","scheikunde","χημεία","kimya","kémia","kemija","keemia",""],
"key::72": ["security","sicurezza","seguridad","segurança","Sicherheit","veiligheid","ασφάλεια","güvenlik","biztonsági","varnost","turvalisus","julgeolek",""],
"key::73": ["biotechnology","biotecnologia","biotecnologie","biotecnología","biotecnologia","Biotechnologie","biotechnologie","βιοτεχνολογία","biyoteknoloji","biotechnológia","biotehnologija","biotehnoloogia",""],
"key::74": ["military","militare","militari","militar","militar","Militär","militair","leger","στρατιωτικός","στρατιωτική","στρατιωτικό","στρατιωτικά","askeri","katonai","vojaški","vojni","militaar","wojskowa",""],
"key::75": ["theological","teologia","teologico","teológico","tecnológica","theologisch","theologisch","θεολογικός","θεολογική","θεολογικό","θεολογικά","teolojik","technológiai","teološki","teoloogia","usuteadus","teoloogiline",""],
"key::76": ["electronics","elettronica","electrónica","eletrônicos","Elektronik","elektronica","ηλεκτρονική","elektronik","elektronika","elektronika","elektroonika",""],
"key::77": ["forestry","forestale","forestali","silvicultura","forestal","floresta","Forstwirtschaft","bosbouw","δασοκομία","δασολογία","ormancılık","erdészet","gozdarstvo","metsandus",""],
"key::78": ["maritime","marittima","marittime","marittimo","marítimo","marítimo","maritiem","ναυτικός","ναυτική","ναυτικό","ναυτικά","ναυτιλιακός","ναυτιλιακή","ναυτιλιακό","ναυτιλιακά","θαλάσσιος","θαλάσσια","θαλάσσιο","denizcilik","tengeri","morski","mere","merendus",""],
"key::79": ["sports","sport","deportes","esportes","Sport","sport","sportwetenschappen","άθληση","γυμναστικήδραστηριότητα","spor","sport","šport","sport","spordi",""],
"key::80": ["surgery","chirurgia","chirurgiche","cirugía","cirurgia","Chirurgie","chirurgie","heelkunde","εγχείρηση","επέμβαση","χειρουργικήεπέμβαση","cerrahi","sebészet","kirurgija","kirurgia",""],
"key::81": ["cultural","culturale","culturali","cultura","cultural","cultural","kulturell","cultureel","πολιτιστικός","πολιτιστική","πολιτιστικό","πολιτισμικός","πολιτισμική","πολιτισμικό","kültürel","kultúrális","kulturni","kultuuri","kultuuriline",""],
"key::82": ["computerscience","informatica","ordenador","computadora","informática","computación","cienciasdelacomputación","ciênciadacomputação","Computer","computer","υπολογιστής","ηλεκτρονικόςυπολογιστής","bilgisayar","számítógép","računalnik","arvuti",""],
"key::83": ["finance","financial","finanza","finanziarie","finanza","financiero","finanças","financeiro","Finanzen","finanziell","financiën","financieel","χρηματοοικονομικά","χρηματοδότηση","finanse","finansal","pénzügy","pénzügyi","finance","finančni","finants","finantsiline",""],
"key::84": ["communication","comunicazione","comuniciación","comunicação","Kommunikation","communication","επικοινωνία","iletişim","kommunikáció","komuniciranje","kommunikatsioon",""],
"key::85": ["justice","giustizia","justicia","justiça","Recht","Justiz","justitie","gerechtigheid","δικαιοσύνη","υπουργείοδικαιοσύνης","δίκαιο","adalet","igazságügy","pravo","õigus",""],
"key::86": ["aerospace","aerospaziale","aerospaziali","aeroespacio","aeroespaço","Luftfahrt","luchtvaart","ruimtevaart","αεροπορικός","αεροπορική","αεροπορικό","αεροναυπηγικός","αεροναυπηγική","αεροναυπηγικό","αεροναυπηγικά","havacılıkveuzay","légtér","zrakoplovstvo","atmosfäär","kosmos",""],
"key::87": ["dermatology","dermatologia","dermatología","dermatologia","Dermatologie","dermatologie","δρματολογία","dermatoloji","bőrgyógyászat","dermatológia","dermatologija","dermatoloogia",""],
"key::88": ["architecture","architettura","arquitectura","arquitetura","Architektur","architectuur","αρχιτεκτονική","mimarlık","építészet","arhitektura","arhitektuur",""],
"key::89": ["mathematics","matematica","matematiche","matemáticas","matemáticas","Mathematik","wiskunde","mathematica","μαθηματικά","matematik","matematika","matematika","matemaatika",""],
"key::90": ["language","lingue","linguistica","linguistiche","lenguaje","idioma","língua","idioma","Sprache","taal","taalkunde","γλώσσα","dil","nyelv","jezik","keel",""],
"key::91": ["neuroscience","neuroscienza","neurociencia","neurociência","Neurowissenschaft","neurowetenschappen","νευροεπιστήμη","nörobilim","idegtudomány","nevroznanost","neuroteadused",""],
"key::92": ["automation","automazione","automatización","automação","Automatisierung","automatisering","αυτοματοποίηση","otomasyon","automatizálás","avtomatizacija","automatiseeritud",""],
"key::93": ["pediatric","pediatria","pediatriche","pediatrico","pediátrico","pediatría","pediátrico","pediatria","pädiatrisch","pediatrische","παιδιατρική","pediatrik","gyermekgyógyászat","pediatrija","pediaatria",""],
"key::94": ["photonics","fotonica","fotoniche","fotónica","fotônica","Photonik","fotonica","φωτονική","fotonik","fotonika","fotonika","fotoonika",""],
"key::95": ["mechanics", "mechanical", "meccanica","meccaniche","mecánica","mecânica","Mechanik","Maschinenbau","mechanica","werktuigkunde","μηχανικής","mekanik","gépészet","mehanika","mehaanika",""],
"key::96": ["psychiatrics","psichiatria","psichiatrica","psichiatriche","psiquiatría","psiquiatria","Psychiatrie","psychiatrie","ψυχιατρική","psikiyatrik","pszihiátria","psihiatrija","psühhaatria",""],
"key::97": ["psychology","fisiologia","psicología","psicologia","Psychologie","psychologie","ψυχολογία","psikoloji","pszihológia","psihologija","psühholoogia",""],
"key::98": ["automotive","industriaautomobilistica","industriadelautomóvil","automotriz","industriaautomotriz","automotivo","Automobilindustrie","autoindustrie","αυτοκίνητος","αυτοκίνητη","αυτοκίνητο","αυτοκινούμενος","αυτοκινούμενη","αυτοκινούμενο","αυτοκινητιστικός","αυτοκινητιστική","αυτοκινητιστικό","otomotiv","autóipari","samogiben","avtomobilskaindustrija","auto-",""],
"key::99": ["neurology","neurologia","neurologiche","neurología","neurologia","Neurologie","neurologie","zenuwleer","νευρολογία","nöroloji","neurológia","ideggyógyászat","nevrologija","neuroloogia",""],
"key::100": ["geology","geologia","geologiche","geología","geologia","Geologie","geologie","aardkunde","γεωλογία","jeoloji","geológia","földtudomány","geologija","geoloogia",""],
"key::101": ["microbiology","microbiologia","micro-biologia","microbiologiche","microbiología","microbiologia","Mikrobiologie","microbiologie","μικροβιολογία","mikrobiyoloji","mikrobiológia","mikrobiologija","mikrobioloogia",""],
"key::102": ["informatics","informatica","informática","informática","informatica",""],
"key::103": ["forschungsgemeinschaft","comunita ricerca","research community","research foundation","research association"],
"key::104": ["commerce","ticaret","ticarət","commercio","trade","handel","comercio"],
"key::105" : ["state", "stato", "etade", "estado", "statale", "etat", "zustand", "estado"],
"key::106" : ["seminary", "seminario", "seminaire", "seminar"],
"key::107" : ["agricultural forestry", "af", "a f"],
"key::108" : ["agricultural mechanical", "am", "a m"],
"key::109" : ["catholic", "catholique", "katholische", "catolica", "cattolica", "catolico"]
}
"blacklists" : {},
"synonyms": {}
}
}

View File

@ -33,10 +33,7 @@ import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.bulktag.community.*;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.Context;
import eu.dnetlib.dhp.schema.oaf.Datasource;
import eu.dnetlib.dhp.schema.oaf.Project;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import scala.Tuple2;
@ -114,27 +111,35 @@ public class SparkBulkTagJob {
extendCommunityConfigurationForEOSC(spark, inputPath, cc);
execBulkTag(
spark, inputPath, outputPath, protoMap, cc);
execEntityTag(
spark, inputPath + "organization", outputPath + "organization",
Utils.getCommunityOrganization(baseURL), Organization.class, TaggingConstants.CLASS_ID_ORGANIZATION,
TaggingConstants.CLASS_NAME_BULKTAG_ORGANIZATION);
execEntityTag(
spark, inputPath + "project", outputPath + "project", Utils.getCommunityProjects(baseURL),
Project.class, TaggingConstants.CLASS_ID_PROJECT, TaggingConstants.CLASS_NAME_BULKTAG_PROJECT);
execDatasourceTag(spark, inputPath, outputPath, Utils.getDatasourceCommunities(baseURL));
execProjectTag(spark, inputPath, outputPath, Utils.getCommunityProjects(baseURL));
});
}
private static void execProjectTag(SparkSession spark, String inputPath, String outputPath,
CommunityEntityMap communityProjects) {
Dataset<Project> projects = readPath(spark, inputPath + "project", Project.class);
private static <E extends OafEntity> void execEntityTag(SparkSession spark, String inputPath, String outputPath,
CommunityEntityMap communityEntity, Class<E> entityClass,
String classID, String calssName) {
Dataset<E> entity = readPath(spark, inputPath, entityClass);
Dataset<EntityCommunities> pc = spark
.createDataset(
communityProjects
communityEntity
.keySet()
.stream()
.map(k -> EntityCommunities.newInstance(k, communityProjects.get(k)))
.map(k -> EntityCommunities.newInstance(k, communityEntity.get(k)))
.collect(Collectors.toList()),
Encoders.bean(EntityCommunities.class));
projects
.joinWith(pc, projects.col("id").equalTo(pc.col("entityId")), "left")
.map((MapFunction<Tuple2<Project, EntityCommunities>, Project>) t2 -> {
Project ds = t2._1();
entity
.joinWith(pc, entity.col("id").equalTo(pc.col("entityId")), "left")
.map((MapFunction<Tuple2<E, EntityCommunities>, E>) t2 -> {
E ds = t2._1();
if (t2._2() != null) {
List<String> context = Optional
.ofNullable(ds.getContext())
@ -156,8 +161,8 @@ public class SparkBulkTagJob {
false, TaggingConstants.BULKTAG_DATA_INFO_TYPE, true, false,
OafMapperUtils
.qualifier(
TaggingConstants.CLASS_ID_DATASOURCE,
TaggingConstants.CLASS_NAME_BULKTAG_DATASOURCE,
classID,
calssName,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
"1")));
@ -166,17 +171,17 @@ public class SparkBulkTagJob {
});
}
return ds;
}, Encoders.bean(Project.class))
}, Encoders.bean(entityClass))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath + "project");
.json(outputPath);
readPath(spark, outputPath + "project", Project.class)
readPath(spark, outputPath, entityClass)
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(inputPath + "project");
.json(inputPath);
}
private static void execDatasourceTag(SparkSession spark, String inputPath, String outputPath,

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