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

This commit is contained in:
Miriam Baglioni 2022-12-21 12:42:27 +01:00
parent 6674cccb94 6aa91204a5
commit 8893389895
4 changed files with 18 additions and 107 deletions
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9
dhp-common/src/main/java/eu/dnetlib/dhp/schema/oaf/utils/GraphCleaningFunctions.java
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@ -23,6 +23,8 @@ import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
import me.xuender.unidecode.Unidecode;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Encoders;
public class GraphCleaningFunctions extends CleaningFunctions {
@ -201,6 +203,13 @@ public class GraphCleaningFunctions extends CleaningFunctions {
.filter(sp -> StringUtils.isNotBlank(sp.getValue()))
.filter(sp -> Objects.nonNull(sp.getQualifier()))
.filter(sp -> StringUtils.isNotBlank(sp.getQualifier().getClassid()))
.map(s -> {
if ("dnet:result_subject".equals(s.getQualifier().getClassid())) {
s.getQualifier().setClassid(ModelConstants.DNET_SUBJECT_TYPOLOGIES);
s.getQualifier().setClassname(ModelConstants.DNET_SUBJECT_TYPOLOGIES);
}
return s;
})
.map(GraphCleaningFunctions::cleanValue)
.collect(
Collectors

100
dhp-common/src/test/java/eu/dnetlib/dhp/oa/merge/AuthorMergerTest.java
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@ -1,100 +0,0 @@
package eu.dnetlib.dhp.oa.merge;
import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.schema.oaf.Author;
import eu.dnetlib.dhp.schema.oaf.Publication;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
import eu.dnetlib.pace.util.MapDocumentUtil;
import scala.Tuple2;
class AuthorMergerTest {
private String publicationsBasePath;
private List<List<Author>> authors;
@BeforeEach
public void setUp() throws Exception {
publicationsBasePath = Paths
.get(AuthorMergerTest.class.getResource("/eu/dnetlib/dhp/oa/merge").toURI())
.toFile()
.getAbsolutePath();
authors = readSample(publicationsBasePath + "/publications_with_authors.json", Publication.class)
.stream()
.map(p -> p._2().getAuthor())
.collect(Collectors.toList());
}
@Test
void mergeTest() { // used in the dedup: threshold set to 0.95
for (List<Author> authors1 : authors) {
System.out.println("List " + (authors.indexOf(authors1) + 1));
for (Author author : authors1) {
System.out.println(authorToString(author));
}
}
List<Author> merge = AuthorMerger.merge(authors);
System.out.println("Merge ");
for (Author author : merge) {
System.out.println(authorToString(author));
}
Assertions.assertEquals(7, merge.size());
}
public <T> List<Tuple2<String, T>> readSample(String path, Class<T> clazz) {
List<Tuple2<String, T>> res = new ArrayList<>();
BufferedReader reader;
try {
reader = new BufferedReader(new FileReader(path));
String line = reader.readLine();
while (line != null) {
res
.add(
new Tuple2<>(
MapDocumentUtil.getJPathString("$.id", line),
new ObjectMapper().readValue(line, clazz)));
// read next line
line = reader.readLine();
}
reader.close();
} catch (IOException e) {
e.printStackTrace();
}
return res;
}
public String authorToString(Author a) {
String print = "Fullname = ";
print += a.getFullname() + " pid = [";
if (a.getPid() != null)
for (StructuredProperty sp : a.getPid()) {
print += sp.toComparableString() + " ";
}
print += "]";
return print;
}
}

3
dhp-common/src/test/resources/eu/dnetlib/dhp/oa/merge/publications_with_authors.json
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File diff suppressed because one or more lines are too long

13
dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/PropagationConstant.java
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@ -228,10 +228,15 @@ public class PropagationConstant {
public static <R> Dataset<R> readPath(
SparkSession spark, String inputPath, Class<R> clazz) {
return spark
.read()
.textFile(inputPath)
.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
if (HdfsSupport.exists(inputPath, spark.sparkContext().hadoopConfiguration())) {
return spark
.read()
.textFile(inputPath)
.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
} else {
return spark.emptyDataset(Encoders.bean(clazz));
}
}
}