forked from antonis.lempesis/dnet-hadoop
Merge branch 'master' into stable_ids
This commit is contained in:
commit
c188868450
|
@ -98,6 +98,17 @@
|
|||
<groupId>com.squareup.okhttp3</groupId>
|
||||
<artifactId>okhttp</artifactId>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>eu.dnetlib</groupId>
|
||||
<artifactId>dnet-pace-core</artifactId>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>eu.dnetlib.dhp</groupId>
|
||||
<artifactId>dhp-schemas</artifactId>
|
||||
<version>${project.version}</version>
|
||||
</dependency>
|
||||
</dependencies>
|
||||
|
||||
</project>
|
||||
|
|
|
@ -1,5 +1,5 @@
|
|||
|
||||
package eu.dnetlib.dhp.oa.dedup;
|
||||
package eu.dnetlib.dhp.oa.merge;
|
||||
|
||||
import java.text.Normalizer;
|
||||
import java.util.*;
|
|
@ -1,7 +1,6 @@
|
|||
|
||||
package eu.dnetlib.dhp.oa.dedup;
|
||||
|
||||
import java.io.Serializable;
|
||||
import java.util.Collection;
|
||||
import java.util.Iterator;
|
||||
import java.util.List;
|
||||
|
@ -18,6 +17,7 @@ import com.fasterxml.jackson.databind.DeserializationFeature;
|
|||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import com.google.common.collect.Lists;
|
||||
|
||||
import eu.dnetlib.dhp.oa.merge.AuthorMerger;
|
||||
import eu.dnetlib.dhp.schema.common.ModelSupport;
|
||||
import eu.dnetlib.dhp.schema.oaf.*;
|
||||
import scala.Tuple2;
|
||||
|
|
|
@ -14,6 +14,7 @@ import org.codehaus.jackson.map.ObjectMapper;
|
|||
import org.junit.jupiter.api.BeforeEach;
|
||||
import org.junit.jupiter.api.Test;
|
||||
|
||||
import eu.dnetlib.dhp.oa.merge.AuthorMerger;
|
||||
import eu.dnetlib.dhp.schema.oaf.*;
|
||||
import eu.dnetlib.pace.util.MapDocumentUtil;
|
||||
import scala.Tuple2;
|
||||
|
|
|
@ -1,17 +1,13 @@
|
|||
package eu.dnetlib.dhp.doiboost
|
||||
import eu.dnetlib.dhp.schema.oaf.Project
|
||||
|
||||
import eu.dnetlib.dhp.schema.oaf.Publication
|
||||
import org.apache.spark.SparkContext
|
||||
import org.apache.spark.sql.functions.{col, sum}
|
||||
import org.apache.hadoop.io.Text
|
||||
import org.apache.spark.rdd.RDD
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SparkSession}
|
||||
import org.codehaus.jackson.map.ObjectMapper
|
||||
import org.json4s.DefaultFormats
|
||||
import org.codehaus.jackson.map.{ObjectMapper, SerializationConfig}
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.JsonAST._
|
||||
import org.json4s.jackson.JsonMethods._
|
||||
import scala.::
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
class QueryTest {
|
||||
|
||||
|
@ -27,19 +23,32 @@ class QueryTest {
|
|||
|
||||
}
|
||||
|
||||
def hasInstanceWithUrl(p:Publication):Boolean = {
|
||||
val c = p.getInstance.asScala.map(i => i.getUrl!= null && !i.getUrl.isEmpty).size
|
||||
!(!p.getInstance.isEmpty && c == p.getInstance().size)
|
||||
}
|
||||
|
||||
|
||||
def hasNullAccessRights(p:Publication):Boolean = {
|
||||
val c = p.getInstance.asScala.map(i => i.getAccessright!= null && i.getAccessright.getClassname.nonEmpty).size
|
||||
!p.getInstance.isEmpty && c == p.getInstance().size()
|
||||
}
|
||||
|
||||
|
||||
def myQuery(spark:SparkSession, sc:SparkContext): Unit = {
|
||||
implicit val mapEncoderPub: Encoder[Project] = Encoders.kryo[Project]
|
||||
implicit val mapEncoderPub: Encoder[Publication] = Encoders.kryo[Publication]
|
||||
|
||||
val mapper = new ObjectMapper()
|
||||
mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
|
||||
|
||||
|
||||
// val ds:Dataset[Project] = spark.createDataset(sc.sequenceFile("", classOf[Text], classOf[Text])
|
||||
// .map(_._2.toString)
|
||||
// .map(s => new ObjectMapper().readValue(s, classOf[Project])))
|
||||
//
|
||||
// ds.write.saveAsTable()
|
||||
val ds:Dataset[Publication] = spark.read.load("/tmp/p").as[Publication]
|
||||
|
||||
|
||||
|
||||
ds.filter(p =>p.getBestaccessright!= null && p.getBestaccessright.getClassname.nonEmpty).count()
|
||||
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
@ -83,13 +83,6 @@
|
|||
<artifactId>dhp-schemas</artifactId>
|
||||
<version>${project.version}</version>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>eu.dnetlib.dhp</groupId>
|
||||
<artifactId>dhp-dedup-openaire</artifactId>
|
||||
<version>${project.version}</version>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>com.jayway.jsonpath</groupId>
|
||||
<artifactId>json-path</artifactId>
|
||||
|
|
|
@ -0,0 +1,97 @@
|
|||
|
||||
package eu.dnetlib.dhp.oa.graph.merge;
|
||||
|
||||
import java.util.Comparator;
|
||||
|
||||
import eu.dnetlib.dhp.schema.oaf.Qualifier;
|
||||
|
||||
public class DatasourceCompatibilityComparator implements Comparator<Qualifier> {
|
||||
@Override
|
||||
public int compare(Qualifier left, Qualifier right) {
|
||||
|
||||
String lClass = left.getClassid();
|
||||
String rClass = right.getClassid();
|
||||
|
||||
if (lClass.equals(rClass))
|
||||
return 0;
|
||||
|
||||
if (lClass.equals("openaire-cris_1.1"))
|
||||
return -1;
|
||||
if (rClass.equals("openaire-cris_1.1"))
|
||||
return 1;
|
||||
|
||||
if (lClass.equals("openaire4.0"))
|
||||
return -1;
|
||||
if (rClass.equals("openaire4.0"))
|
||||
return 1;
|
||||
|
||||
if (lClass.equals("driver-openaire2.0"))
|
||||
return -1;
|
||||
if (rClass.equals("driver-openaire2.0"))
|
||||
return 1;
|
||||
|
||||
if (lClass.equals("driver"))
|
||||
return -1;
|
||||
if (rClass.equals("driver"))
|
||||
return 1;
|
||||
|
||||
if (lClass.equals("openaire2.0"))
|
||||
return -1;
|
||||
if (rClass.equals("openaire2.0"))
|
||||
return 1;
|
||||
|
||||
if (lClass.equals("openaire3.0"))
|
||||
return -1;
|
||||
if (rClass.equals("openaire3.0"))
|
||||
return 1;
|
||||
|
||||
if (lClass.equals("openaire2.0_data"))
|
||||
return -1;
|
||||
if (rClass.equals("openaire2.0_data"))
|
||||
return 1;
|
||||
|
||||
if (lClass.equals("native"))
|
||||
return -1;
|
||||
if (rClass.equals("native"))
|
||||
return 1;
|
||||
|
||||
if (lClass.equals("hostedBy"))
|
||||
return -1;
|
||||
if (rClass.equals("hostedBy"))
|
||||
return 1;
|
||||
|
||||
if (lClass.equals("notCompatible"))
|
||||
return -1;
|
||||
if (rClass.equals("notCompatible"))
|
||||
return 1;
|
||||
|
||||
if (lClass.equals("UNKNOWN"))
|
||||
return -1;
|
||||
if (rClass.equals("UNKNOWN"))
|
||||
return 1;
|
||||
|
||||
// Else (but unlikely), lexicographical ordering will do.
|
||||
return lClass.compareTo(rClass);
|
||||
}
|
||||
|
||||
/*
|
||||
* CASE WHEN (array_agg(DISTINCT COALESCE (a.compatibility_override, a.compatibility):: TEXT) @> ARRAY
|
||||
* ['openaire-cris_1.1']) THEN 'openaire-cris_1.1@@@dnet:datasourceCompatibilityLevel' WHEN (array_agg(DISTINCT
|
||||
* COALESCE (a.compatibility_override, a.compatibility):: TEXT) @> ARRAY ['openaire4.0']) THEN
|
||||
* 'openaire4.0@@@dnet:datasourceCompatibilityLevel' WHEN (array_agg(DISTINCT COALESCE (a.compatibility_override,
|
||||
* a.compatibility):: TEXT) @> ARRAY ['driver', 'openaire2.0']) THEN
|
||||
* 'driver-openaire2.0@@@dnet:datasourceCompatibilityLevel' WHEN (array_agg(DISTINCT COALESCE
|
||||
* (a.compatibility_override, a.compatibility) :: TEXT) @> ARRAY ['driver']) THEN
|
||||
* 'driver@@@dnet:datasourceCompatibilityLevel' WHEN (array_agg(DISTINCT COALESCE (a.compatibility_override,
|
||||
* a.compatibility) :: TEXT) @> ARRAY ['openaire2.0']) THEN 'openaire2.0@@@dnet:datasourceCompatibilityLevel' WHEN
|
||||
* (array_agg(DISTINCT COALESCE (a.compatibility_override, a.compatibility) :: TEXT) @> ARRAY ['openaire3.0']) THEN
|
||||
* 'openaire3.0@@@dnet:datasourceCompatibilityLevel' WHEN (array_agg(DISTINCT COALESCE (a.compatibility_override,
|
||||
* a.compatibility) :: TEXT) @> ARRAY ['openaire2.0_data']) THEN
|
||||
* 'openaire2.0_data@@@dnet:datasourceCompatibilityLevel' WHEN (array_agg(DISTINCT COALESCE
|
||||
* (a.compatibility_override, a.compatibility) :: TEXT) @> ARRAY ['native']) THEN
|
||||
* 'native@@@dnet:datasourceCompatibilityLevel' WHEN (array_agg(DISTINCT COALESCE (a.compatibility_override,
|
||||
* a.compatibility) :: TEXT) @> ARRAY ['hostedBy']) THEN 'hostedBy@@@dnet:datasourceCompatibilityLevel' WHEN
|
||||
* (array_agg(DISTINCT COALESCE (a.compatibility_override, a.compatibility) :: TEXT) @> ARRAY ['notCompatible'])
|
||||
* THEN 'notCompatible@@@dnet:datasourceCompatibilityLevel' ELSE 'UNKNOWN@@@dnet:datasourceCompatibilityLevel' END
|
||||
*/
|
||||
}
|
|
@ -3,8 +3,9 @@ package eu.dnetlib.dhp.oa.graph.merge;
|
|||
|
||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
|
||||
|
||||
import java.util.Objects;
|
||||
import java.util.Optional;
|
||||
import java.util.*;
|
||||
|
||||
import javax.xml.crypto.Data;
|
||||
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.apache.spark.SparkConf;
|
||||
|
@ -14,6 +15,7 @@ import org.apache.spark.sql.Dataset;
|
|||
import org.apache.spark.sql.Encoders;
|
||||
import org.apache.spark.sql.SaveMode;
|
||||
import org.apache.spark.sql.SparkSession;
|
||||
import org.jetbrains.annotations.NotNull;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
|
@ -39,6 +41,14 @@ public class MergeGraphSparkJob {
|
|||
|
||||
private static final String PRIORITY_DEFAULT = "BETA"; // BETA | PROD
|
||||
|
||||
private static final Datasource DATASOURCE = new Datasource();
|
||||
|
||||
static {
|
||||
Qualifier compatibility = new Qualifier();
|
||||
compatibility.setClassid("UNKNOWN");
|
||||
DATASOURCE.setOpenairecompatibility(compatibility);
|
||||
}
|
||||
|
||||
public static void main(String[] args) throws Exception {
|
||||
|
||||
String jsonConfiguration = IOUtils
|
||||
|
@ -104,6 +114,10 @@ public class MergeGraphSparkJob {
|
|||
.map((MapFunction<Tuple2<Tuple2<String, P>, Tuple2<String, B>>, P>) value -> {
|
||||
Optional<P> p = Optional.ofNullable(value._1()).map(Tuple2::_2);
|
||||
Optional<B> b = Optional.ofNullable(value._2()).map(Tuple2::_2);
|
||||
|
||||
if (p.orElse((P) b.orElse((B) DATASOURCE)) instanceof Datasource) {
|
||||
return mergeDatasource(p, b);
|
||||
}
|
||||
switch (priority) {
|
||||
default:
|
||||
case "BETA":
|
||||
|
@ -119,6 +133,36 @@ public class MergeGraphSparkJob {
|
|||
.json(outputPath);
|
||||
}
|
||||
|
||||
/**
|
||||
* Datasources involved in the merge operation doesn't obey to the infra precedence policy, but relies on a custom
|
||||
* behaviour that, given two datasources from beta and prod returns the one from prod with the highest
|
||||
* compatibility among the two.
|
||||
*
|
||||
* @param p datasource from PROD
|
||||
* @param b datasource from BETA
|
||||
* @param <P> Datasource class type from PROD
|
||||
* @param <B> Datasource class type from BETA
|
||||
* @return the datasource from PROD with the highest compatibility level.
|
||||
*/
|
||||
protected static <P extends Oaf, B extends Oaf> P mergeDatasource(Optional<P> p, Optional<B> b) {
|
||||
if (p.isPresent() & !b.isPresent()) {
|
||||
return p.get();
|
||||
}
|
||||
if (b.isPresent() & !p.isPresent()) {
|
||||
return (P) b.get();
|
||||
}
|
||||
if (!b.isPresent() & !p.isPresent()) {
|
||||
return null; // unlikely, at least one should be produced by the join operation
|
||||
}
|
||||
|
||||
Datasource dp = (Datasource) p.get();
|
||||
Datasource db = (Datasource) b.get();
|
||||
|
||||
List<Qualifier> list = Arrays.asList(dp.getOpenairecompatibility(), db.getOpenairecompatibility());
|
||||
dp.setOpenairecompatibility(Collections.min(list, new DatasourceCompatibilityComparator()));
|
||||
return (P) dp;
|
||||
}
|
||||
|
||||
private static <P extends Oaf, B extends Oaf> P mergeWithPriorityToPROD(Optional<P> p, Optional<B> b) {
|
||||
if (b.isPresent() & !p.isPresent()) {
|
||||
return (P) b.get();
|
||||
|
|
|
@ -1,5 +1,5 @@
|
|||
package eu.dnetlib.dhp.sx.ebi
|
||||
import eu.dnetlib.dhp.oa.dedup.AuthorMerger
|
||||
import eu.dnetlib.dhp.oa.merge.AuthorMerger
|
||||
import eu.dnetlib.dhp.schema.oaf.{Publication, Relation, Dataset => OafDataset}
|
||||
import eu.dnetlib.dhp.schema.scholexplorer.{DLIDataset, DLIPublication, DLIUnknown}
|
||||
import org.apache.spark.sql.{Encoder, Encoders}
|
||||
|
|
|
@ -0,0 +1,84 @@
|
|||
|
||||
package eu.dnetlib.dhp.oa.graph.merge;
|
||||
|
||||
import static org.junit.jupiter.api.Assertions.assertEquals;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.Optional;
|
||||
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.junit.jupiter.api.BeforeEach;
|
||||
import org.junit.jupiter.api.Test;
|
||||
|
||||
import com.fasterxml.jackson.databind.DeserializationFeature;
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
|
||||
import eu.dnetlib.dhp.schema.oaf.Datasource;
|
||||
|
||||
public class MergeGraphSparkJobTest {
|
||||
|
||||
private ObjectMapper mapper;
|
||||
|
||||
@BeforeEach
|
||||
public void setUp() {
|
||||
mapper = new ObjectMapper().configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testMergeDatasources() throws IOException {
|
||||
assertEquals(
|
||||
"openaire-cris_1.1",
|
||||
MergeGraphSparkJob
|
||||
.mergeDatasource(
|
||||
d("datasource_cris.json"),
|
||||
d("datasource_UNKNOWN.json"))
|
||||
.getOpenairecompatibility()
|
||||
.getClassid());
|
||||
assertEquals(
|
||||
"openaire-cris_1.1",
|
||||
MergeGraphSparkJob
|
||||
.mergeDatasource(
|
||||
d("datasource_UNKNOWN.json"),
|
||||
d("datasource_cris.json"))
|
||||
.getOpenairecompatibility()
|
||||
.getClassid());
|
||||
assertEquals(
|
||||
"driver-openaire2.0",
|
||||
MergeGraphSparkJob
|
||||
.mergeDatasource(
|
||||
d("datasource_native.json"),
|
||||
d("datasource_driver-openaire2.0.json"))
|
||||
.getOpenairecompatibility()
|
||||
.getClassid());
|
||||
assertEquals(
|
||||
"driver-openaire2.0",
|
||||
MergeGraphSparkJob
|
||||
.mergeDatasource(
|
||||
d("datasource_driver-openaire2.0.json"),
|
||||
d("datasource_native.json"))
|
||||
.getOpenairecompatibility()
|
||||
.getClassid());
|
||||
assertEquals(
|
||||
"openaire4.0",
|
||||
MergeGraphSparkJob
|
||||
.mergeDatasource(
|
||||
d("datasource_notCompatible.json"),
|
||||
d("datasource_openaire4.0.json"))
|
||||
.getOpenairecompatibility()
|
||||
.getClassid());
|
||||
assertEquals(
|
||||
"notCompatible",
|
||||
MergeGraphSparkJob
|
||||
.mergeDatasource(
|
||||
d("datasource_notCompatible.json"),
|
||||
d("datasource_UNKNOWN.json"))
|
||||
.getOpenairecompatibility()
|
||||
.getClassid());
|
||||
}
|
||||
|
||||
private Optional<Datasource> d(String file) throws IOException {
|
||||
String json = IOUtils.toString(getClass().getResourceAsStream(file));
|
||||
return Optional.of(mapper.readValue(json, Datasource.class));
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,54 @@
|
|||
package eu.dnetlib.dhp.sx.graph
|
||||
|
||||
import com.fasterxml.jackson.databind.{ObjectMapper, SerializationFeature}
|
||||
import eu.dnetlib.dhp.schema.scholexplorer.DLIPublication
|
||||
import eu.dnetlib.dhp.sx.ebi.EBIAggregator
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SparkSession}
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
import org.junit.jupiter.api.Test
|
||||
|
||||
import scala.io.Source
|
||||
|
||||
class SparkScholexplorerAggregationTest {
|
||||
|
||||
|
||||
@Test
|
||||
def testFunderRelationshipsMapping(): Unit = {
|
||||
val publications = Source.fromInputStream(getClass.getResourceAsStream("publication.json")).mkString
|
||||
|
||||
var s: List[DLIPublication] = List[DLIPublication]()
|
||||
|
||||
val m: ObjectMapper = new ObjectMapper()
|
||||
|
||||
m.enable(SerializationFeature.INDENT_OUTPUT)
|
||||
|
||||
for (line <- publications.lines) {
|
||||
s = m.readValue(line, classOf[DLIPublication]) :: s
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
implicit val pubEncoder: Encoder[DLIPublication] = Encoders.kryo[DLIPublication]
|
||||
val spark: SparkSession = SparkSession.builder().appName("Test").master("local[*]").getOrCreate()
|
||||
|
||||
|
||||
val ds: Dataset[DLIPublication] = spark.createDataset(spark.sparkContext.parallelize(s)).as[DLIPublication]
|
||||
|
||||
val unique = ds.map(d => (d.getId, d))(Encoders.tuple(Encoders.STRING, pubEncoder))
|
||||
.groupByKey(_._1)(Encoders.STRING)
|
||||
.agg(EBIAggregator.getDLIPublicationAggregator().toColumn)
|
||||
.map(p => p._2)
|
||||
|
||||
val uniquePubs: DLIPublication = unique.first()
|
||||
|
||||
s.foreach(pp => assertFalse(pp.getAuthor.isEmpty))
|
||||
|
||||
|
||||
assertNotNull(uniquePubs.getAuthor)
|
||||
assertFalse(uniquePubs.getAuthor.isEmpty)
|
||||
|
||||
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1 @@
|
|||
{ "id": "10|274269ac6f3b::2a2e2793b500f3f7b47ef24b1a9277b7", "openairecompatibility": { "classid": "UNKNOWN" }}
|
|
@ -0,0 +1 @@
|
|||
{ "id": "10|274269ac6f3b::2a2e2793b500f3f7b47ef24b1a9277b7", "openairecompatibility": { "classid": "openaire-cris_1.1" }}
|
|
@ -0,0 +1 @@
|
|||
{ "id": "10|274269ac6f3b::2a2e2793b500f3f7b47ef24b1a9277b7", "openairecompatibility": { "classid": "driver-openaire2.0" }}
|
|
@ -0,0 +1 @@
|
|||
{ "id": "10|274269ac6f3b::2a2e2793b500f3f7b47ef24b1a9277b7", "openairecompatibility": { "classid": "hostedBy" }}
|
|
@ -0,0 +1 @@
|
|||
{ "id": "10|274269ac6f3b::2a2e2793b500f3f7b47ef24b1a9277b7", "openairecompatibility": { "classid": "native" }}
|
|
@ -0,0 +1 @@
|
|||
{ "id": "10|274269ac6f3b::2a2e2793b500f3f7b47ef24b1a9277b7", "openairecompatibility": { "classid": "notCompatible" }}
|
|
@ -0,0 +1 @@
|
|||
{ "id": "10|274269ac6f3b::2a2e2793b500f3f7b47ef24b1a9277b7", "openairecompatibility": { "classid": "openaire2.0" }}
|
|
@ -0,0 +1 @@
|
|||
{ "id": "10|274269ac6f3b::2a2e2793b500f3f7b47ef24b1a9277b7", "openairecompatibility": { "classid": "openaire2.0_data" }}
|
|
@ -0,0 +1 @@
|
|||
{ "id": "10|274269ac6f3b::2a2e2793b500f3f7b47ef24b1a9277b7", "openairecompatibility": { "classid": "openaire3.0" }}
|
|
@ -0,0 +1 @@
|
|||
{ "id": "10|274269ac6f3b::2a2e2793b500f3f7b47ef24b1a9277b7", "openairecompatibility": { "classid": "openaire4.0" }}
|
|
@ -47,6 +47,7 @@ object DLIToOAF {
|
|||
"References" -> ("isRelatedTo", "relationship"),
|
||||
"IsRelatedTo" -> ("isRelatedTo", "relationship"),
|
||||
"IsSupplementedBy" -> ("isSupplementedBy", "supplement"),
|
||||
"Documents"-> ("isRelatedTo", "relationship"),
|
||||
"Cites" -> ("cites", "citation"),
|
||||
"Unknown" -> ("isRelatedTo", "relationship"),
|
||||
"IsSourceOf" -> ("isRelatedTo", "relationship"),
|
||||
|
@ -83,7 +84,7 @@ object DLIToOAF {
|
|||
|
||||
val rel_inverse: Map[String, String] = Map(
|
||||
"isRelatedTo" -> "isRelatedTo",
|
||||
"IsSupplementedBy" -> "isSupplementTo",
|
||||
"isSupplementedBy" -> "isSupplementTo",
|
||||
"cites" -> "IsCitedBy",
|
||||
"IsCitedBy" -> "cites",
|
||||
"reviews" -> "IsReviewedBy"
|
||||
|
@ -273,29 +274,18 @@ object DLIToOAF {
|
|||
}
|
||||
|
||||
|
||||
// def convertDLIRelation(r: DLIRelation): Relation = {
|
||||
//
|
||||
// val result = new Relation
|
||||
// if (!relationTypeMapping.contains(r.getRelType))
|
||||
// return null
|
||||
//
|
||||
// if (r.getProperties == null || r.getProperties.size() == 0 || (r.getProperties.size() == 1 && r.getProperties.get(0) == null))
|
||||
// return null
|
||||
// val t = relationTypeMapping.get(r.getRelType)
|
||||
//
|
||||
// result.setRelType("resultResult")
|
||||
// result.setRelClass(t.get._1)
|
||||
// result.setSubRelType(t.get._2)
|
||||
// result.setCollectedfrom(r.getProperties.asScala.map(c => collectedFromMap.getOrElse(c.getKey, null)).filter(p => p != null).asJava)
|
||||
// result.setSource(generateId(r.getSource))
|
||||
// result.setTarget(generateId(r.getTarget))
|
||||
//
|
||||
// if (result.getSource.equals(result.getTarget))
|
||||
// return null
|
||||
// result.setDataInfo(generateDataInfo())
|
||||
//
|
||||
// result
|
||||
// }
|
||||
def convertDLIRelation(r: Relation): Relation = {
|
||||
|
||||
val rt = r.getRelType
|
||||
if (!relationTypeMapping.contains(rt))
|
||||
return null
|
||||
r.setRelType("resultResult")
|
||||
r.setRelClass(relationTypeMapping(rt)._1)
|
||||
r.setSubRelType(relationTypeMapping(rt)._2)
|
||||
r.setSource(generateId(r.getSource))
|
||||
r.setTarget(generateId(r.getTarget))
|
||||
r
|
||||
}
|
||||
|
||||
|
||||
def convertDLIDatasetTOOAF(d: DLIDataset): Dataset = {
|
||||
|
|
|
@ -15,11 +15,13 @@ import org.apache.spark.{SparkConf, SparkContext}
|
|||
import org.codehaus.jackson.map.ObjectMapper
|
||||
|
||||
import scala.collection.mutable.ArrayBuffer
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
|
||||
object SparkExportContentForOpenAire {
|
||||
|
||||
|
||||
|
||||
|
||||
def main(args: Array[String]): Unit = {
|
||||
val conf: SparkConf = new SparkConf()
|
||||
val parser = new ArgumentApplicationParser(IOUtils.toString(SparkExportContentForOpenAire.getClass.getResourceAsStream("input_export_content_parameters.json")))
|
||||
|
@ -42,9 +44,11 @@ object SparkExportContentForOpenAire {
|
|||
|
||||
import spark.implicits._
|
||||
|
||||
|
||||
val dsRel = spark.read.load(s"$workingPath/relation_b").as[Relation]
|
||||
dsRel.filter(r => r.getDataInfo==null || r.getDataInfo.getDeletedbyinference ==false).write.mode(SaveMode.Overwrite).save(s"$workingPath/export/relationDS")
|
||||
dsRel.filter(r => r.getDataInfo==null || r.getDataInfo.getDeletedbyinference ==false)
|
||||
.map(DLIToOAF.convertDLIRelation)
|
||||
.filter(r => r!= null)
|
||||
.write.mode(SaveMode.Overwrite).save(s"$workingPath/export/relationDS")
|
||||
|
||||
|
||||
val dsPubs = spark.read.load(s"$workingPath/publication").as[DLIPublication]
|
||||
|
|
|
@ -5,9 +5,7 @@ import java.time.format.DateTimeFormatter
|
|||
|
||||
import eu.dnetlib.dhp.schema.oaf.Relation
|
||||
import eu.dnetlib.dhp.schema.scholexplorer.{DLIDataset, DLIPublication}
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.rdd.RDD
|
||||
import org.apache.spark.sql.SparkSession
|
||||
|
||||
import org.codehaus.jackson.map.{ObjectMapper, SerializationConfig}
|
||||
import org.junit.jupiter.api.Test
|
||||
|
||||
|
@ -23,6 +21,19 @@ class ExportDLITOOAFTest {
|
|||
|
||||
}
|
||||
|
||||
|
||||
@Test
|
||||
def testMappingRele():Unit = {
|
||||
|
||||
val r:Relation = new Relation
|
||||
r.setSource("60|fbff1d424e045eecf24151a5fe3aa738")
|
||||
r.setTarget("50|dedup_wf_001::ec409f09e63347d4e834087fe1483877")
|
||||
|
||||
val r1 =DLIToOAF.convertDLIRelation(r)
|
||||
println(r1.getSource, r1.getTarget)
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
def testPublicationMapping():Unit = {
|
||||
|
||||
|
|
Loading…
Reference in New Issue