changed relclass and reltype in reelation specification for country propagation and implementation of propagation of result affiliation through institutional repositories

This commit is contained in:
Miriam Baglioni 2020-02-18 17:27:28 +01:00
parent ed262293a6
commit b736a9581c
2 changed files with 73 additions and 310 deletions

View File

@ -1,6 +1,7 @@
package eu.dnetlib.dhp.countrypropagation;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.TypedRow;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.Dataset;
@ -9,13 +10,14 @@ import org.apache.hadoop.io.Text;
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.PairFunction;
import org.apache.spark.sql.*;
import scala.Tuple2;
import java.io.File;
import java.util.*;
import static eu.dnetlib.dhp.PropagationConstant.*;
public class SparkCountryPropagationJob {
public static void main(String[] args) throws Exception {
@ -51,9 +53,10 @@ public class SparkCountryPropagationJob {
JavaPairRDD<String, TypedRow> organization_datasource = sc.sequenceFile(inputPath + "/relation", Text.class, Text.class)
.map(item -> new ObjectMapper().readValue(item._2().toString(), Relation.class))
.filter(r -> !r.getDataInfo().getDeletedbyinference())
.filter(r -> "datasourceOrganization".equals(r.getRelClass()) && "isProvidedBy".equals(r.getRelType()))
.filter(r -> RELATION_DATASOURCEORGANIZATION_REL_TYPE.equals(r.getRelClass()) && RELATION_ORGANIZATION_DATASOURCE_REL_CLASS.equals(r.getRelType()))
.map(r -> new TypedRow().setSourceId(r.getSource()).setTargetId(r.getTarget()))
.mapToPair(toPair());
.mapToPair(toPair()); //id is the organization identifier
JavaPairRDD<String, TypedRow> datasources = sc.sequenceFile(inputPath + "/datasource", Text.class, Text.class)
.map(item -> new ObjectMapper().readValue(item._2().toString(), Datasource.class))
@ -72,7 +75,7 @@ public class SparkCountryPropagationJob {
.map(item -> new ObjectMapper().readValue(item._2().toString(), OtherResearchProduct.class));
JavaPairRDD<String, TypedRow> datasource_results = publications
.map(oaf -> getTypedRows(oaf))
.map(oaf -> getTypedRowsDatasourceResult(oaf))
.flatMapToPair(f -> {
ArrayList<Tuple2<String, TypedRow>> ret = new ArrayList<>();
for (TypedRow t : f) {
@ -81,7 +84,7 @@ public class SparkCountryPropagationJob {
return ret.iterator();
})
.union(datasets
.map(oaf -> getTypedRows(oaf))
.map(oaf -> getTypedRowsDatasourceResult(oaf))
.flatMapToPair(f -> {
ArrayList<Tuple2<String, TypedRow>> ret = new ArrayList<>();
for (TypedRow t : f) {
@ -90,7 +93,7 @@ public class SparkCountryPropagationJob {
return ret.iterator();
}))
.union(software
.map(oaf -> getTypedRows(oaf))
.map(oaf -> getTypedRowsDatasourceResult(oaf))
.flatMapToPair(f -> {
ArrayList<Tuple2<String, TypedRow>> ret = new ArrayList<>();
for (TypedRow t : f) {
@ -99,7 +102,7 @@ public class SparkCountryPropagationJob {
return ret.iterator();
}))
.union(other
.map(oaf -> getTypedRows(oaf))
.map(oaf -> getTypedRowsDatasourceResult(oaf))
.flatMapToPair(f -> {
ArrayList<Tuple2<String, TypedRow>> ret = new ArrayList<>();
for (TypedRow t : f) {
@ -155,55 +158,53 @@ public class SparkCountryPropagationJob {
results.leftOuterJoin(toupdateresult)
.map(c -> {
OafEntity oaf = c._2()._1();
List<Qualifier> qualifierList = null;
List<Country> countryList = null;
if (oaf.getClass() == Publication.class) {
qualifierList = ((Publication) oaf).getCountry();
countryList = ((Publication) oaf).getCountry();
}
if (oaf.getClass() == Dataset.class){
qualifierList = ((Dataset) oaf).getCountry();
countryList = ((Dataset) oaf).getCountry();
}
if (oaf.getClass() == Software.class){
qualifierList = ((Software) oaf).getCountry();
countryList = ((Software) oaf).getCountry();
}
if (oaf.getClass() == OtherResearchProduct.class){
qualifierList = ((OtherResearchProduct) oaf).getCountry();
countryList = ((OtherResearchProduct) oaf).getCountry();
}
if (c._2()._2().isPresent()) {
HashSet<String> countries = new HashSet<>();
for (Qualifier country : qualifierList) {
for (Qualifier country : countryList) {
countries.add(country.getClassid());
}
TypedRow t = c._2()._2().get();
for (String country : t.getCountry().split(";")) {
if (!countries.contains(country)) {
Qualifier q = new Qualifier();
q.setClassid(country);
qualifierList.add(q);
countryList.add(getCountry(country));
}
}
if (oaf.getClass() == Publication.class) {
((Publication) oaf).setCountry(qualifierList);
((Publication) oaf).setCountry(countryList);
return (Publication) oaf;
}
if (oaf.getClass() == Dataset.class){
((Dataset) oaf).setCountry(qualifierList);
((Dataset) oaf).setCountry(countryList);
return (Dataset) oaf;
}
if (oaf.getClass() == Software.class){
((Software) oaf).setCountry(qualifierList);
((Software) oaf).setCountry(countryList);
return (Software) oaf;
}
if (oaf.getClass() == OtherResearchProduct.class){
((OtherResearchProduct) oaf).setCountry(qualifierList);
((OtherResearchProduct) oaf).setCountry(countryList);
return (OtherResearchProduct) oaf;
}
}
@ -215,40 +216,7 @@ public class SparkCountryPropagationJob {
.saveAsTextFile(outputPath+"/"+type);
}
private static List<TypedRow> getTypedRows(OafEntity oaf) {
List<TypedRow> lst = new ArrayList<>();
Set<String> datasources_provenance = new HashSet<>();
List<Instance> instanceList = null;
String type = "";
if (oaf.getClass() == Publication.class) {
instanceList = ((Publication) oaf).getInstance();
type = "publication";
}
if (oaf.getClass() == Dataset.class){
instanceList = ((Dataset)oaf).getInstance();
type = "dataset";
}
if (oaf.getClass() == Software.class){
instanceList = ((Software)oaf).getInstance();
type = "software";
}
if (oaf.getClass() == OtherResearchProduct.class){
instanceList = ((OtherResearchProduct)oaf).getInstance();
type = "otherresearchproduct";
}
for (Instance i : instanceList) {
datasources_provenance.add(i.getCollectedfrom().getKey());
datasources_provenance.add(i.getHostedby().getKey());
}
for (String dsId : datasources_provenance) {
lst.add(new TypedRow().setSourceId(dsId).setTargetId(oaf.getId()).setType(type));
}
return lst;
}
private static JavaPairRDD<String, TypedRow> getResults(JavaSparkContext sc , String inputPath){
@ -280,10 +248,6 @@ public class SparkCountryPropagationJob {
private static PairFunction<TypedRow, String, TypedRow> toPair() {
return e -> new Tuple2<>( e.getSourceId(), e);
};
}

View File

@ -1,11 +1,22 @@
package eu.dnetlib.dhp.resulttoorganizationfrominstrepo;
import eu.dnetlib.dhp.TypedRow;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import org.apache.commons.io.IOUtils;
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.sql.SparkSession;
import org.apache.hadoop.io.Text;
import com.fasterxml.jackson.databind.ObjectMapper;
import java.io.File;
import java.util.ArrayList;
import java.util.List;
import eu.dnetlib.dhp.schema.oaf.*;
import scala.Tuple2;
import static eu.dnetlib.dhp.PropagationConstant.*;
public class SparkResultToOrganizationFromIstRepoJob {
public static void main(String[] args) throws Exception {
@ -28,78 +39,28 @@ public class SparkResultToOrganizationFromIstRepoJob {
if (!directory.exists()) {
directory.mkdirs();
}
}
}
/*
package eu.dnetlib.dhp.countrypropagation;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.Dataset;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
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.Optional;
import org.apache.spark.api.java.function.Function2;
import org.apache.spark.api.java.function.PairFunction;
import org.apache.spark.rdd.RDD;
import org.apache.spark.sql.*;
import scala.Tuple2;
import java.io.File;
import java.util.*;
import java.util.stream.Stream;
public class SparkCountryPropagationJob {
public static void main(String[] args) throws Exception {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(IOUtils.toString(SparkCountryPropagationJob.class.getResourceAsStream("/eu/dnetlib/dhp/countrypropagation/input_countrypropagation_parameters.json")));
parser.parseArgument(args);
final SparkSession spark = SparkSession
.builder()
.appName(SparkCountryPropagationJob.class.getSimpleName())
.master(parser.get("master"))
.enableHiveSupport()
.getOrCreate();
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
final String inputPath = parser.get("sourcePath");
final String outputPath = "/tmp/provision/propagation/countrytoresultfrominstitutionalrepositories";
File directory = new File(outputPath);
if(!directory.exists()){
directory.mkdirs();
}
//TODO: add as Job Parameters
List<String> whitelist = Arrays.asList("10|opendoar____::300891a62162b960cf02ce3827bb363c");
List<String> allowedtypes = Arrays.asList("pubsrepository::institutional");
JavaPairRDD<String, TypedRow> organizations = sc.sequenceFile(inputPath + "/organization", Text.class, Text.class)
.map(item -> new ObjectMapper().readValue(item._2().toString(), Organization.class))
.filter(org -> !org.getDataInfo().getDeletedbyinference())
.map(org -> new TypedRow().setSourceId(org.getId()).setCountry(org.getCountry().getClassid()))
.mapToPair(toPair());
JavaPairRDD<String, TypedRow> organization_datasource = sc.sequenceFile(inputPath + "/relation", Text.class, Text.class)
.map(item -> new ObjectMapper().readValue(item._2().toString(), Relation.class))
.filter(r -> !r.getDataInfo().getDeletedbyinference())
.filter(r -> "datasourceOrganization".equals(r.getRelClass()) && "isProvidedBy".equals(r.getRelType()))
.map(r -> new TypedRow().setSourceId(r.getSource()).setTargetId(r.getTarget()))
.mapToPair(toPair());
//get the institutional repositories
JavaPairRDD<String, TypedRow> datasources = sc.sequenceFile(inputPath + "/datasource", Text.class, Text.class)
.map(item -> new ObjectMapper().readValue(item._2().toString(), Datasource.class))
.filter(ds -> whitelist.contains(ds.getId()) || allowedtypes.contains(ds.getDatasourcetype().getClassid()))
.filter(ds -> INSTITUTIONAL_REPO_TYPE.equals(ds.getDatasourcetype().getClassid()))
.map(ds -> new TypedRow().setSourceId(ds.getId()))
.mapToPair(toPair());
JavaPairRDD<String, TypedRow> rel_datasource_organization = sc.sequenceFile(inputPath + "/relation", Text.class, Text.class)
.map(item -> new ObjectMapper().readValue(item._2().toString(), Relation.class))
.filter(r -> !r.getDataInfo().getDeletedbyinference())
.filter(r -> RELATION_DATASOURCEORGANIZATION_REL_TYPE.equals(r.getRelClass()) && RELATION_DATASOURCE_ORGANIZATION_REL_CLASS.equals(r.getRelType()))
.map(r -> new TypedRow().setSourceId(r.getSource()).setTargetId(r.getTarget()))
.mapToPair(toPair());
JavaPairRDD<String, TypedRow> instdatasource_organization = datasources.join(rel_datasource_organization)
.map(x -> x._2()._2())
.mapToPair(toPair());
JavaRDD<Relation> relations = sc.sequenceFile(inputPath + "/relation", Text.class, Text.class)
.map(item -> new ObjectMapper().readValue(item._2().toString(), Relation.class));
JavaRDD<Publication> publications = sc.sequenceFile(inputPath + "/publication", Text.class, Text.class)
.map(item -> new ObjectMapper().readValue(item._2().toString(), Publication.class));
JavaRDD<Dataset> datasets = sc.sequenceFile(inputPath + "/dataset", Text.class, Text.class)
@ -110,7 +71,7 @@ public class SparkCountryPropagationJob {
.map(item -> new ObjectMapper().readValue(item._2().toString(), OtherResearchProduct.class));
JavaPairRDD<String, TypedRow> datasource_results = publications
.map(oaf -> getTypedRows(oaf))
.map(oaf -> getTypedRowsDatasourceResult(oaf))
.flatMapToPair(f -> {
ArrayList<Tuple2<String, TypedRow>> ret = new ArrayList<>();
for (TypedRow t : f) {
@ -119,7 +80,7 @@ public class SparkCountryPropagationJob {
return ret.iterator();
})
.union(datasets
.map(oaf -> getTypedRows(oaf))
.map(oaf -> getTypedRowsDatasourceResult(oaf))
.flatMapToPair(f -> {
ArrayList<Tuple2<String, TypedRow>> ret = new ArrayList<>();
for (TypedRow t : f) {
@ -128,7 +89,7 @@ public class SparkCountryPropagationJob {
return ret.iterator();
}))
.union(software
.map(oaf -> getTypedRows(oaf))
.map(oaf -> getTypedRowsDatasourceResult(oaf))
.flatMapToPair(f -> {
ArrayList<Tuple2<String, TypedRow>> ret = new ArrayList<>();
for (TypedRow t : f) {
@ -137,7 +98,7 @@ public class SparkCountryPropagationJob {
return ret.iterator();
}))
.union(other
.map(oaf -> getTypedRows(oaf))
.map(oaf -> getTypedRowsDatasourceResult(oaf))
.flatMapToPair(f -> {
ArrayList<Tuple2<String, TypedRow>> ret = new ArrayList<>();
for (TypedRow t : f) {
@ -146,185 +107,23 @@ public class SparkCountryPropagationJob {
return ret.iterator();
}));
JavaPairRDD<String, OafEntity> pubs = publications.mapToPair(p -> new Tuple2<>(p.getId(),p));
JavaPairRDD<String, OafEntity> dss = datasets.mapToPair(p -> new Tuple2<>(p.getId(),p));
JavaPairRDD<String, OafEntity> sfw = software.mapToPair(p -> new Tuple2<>(p.getId(),p));
JavaPairRDD<String, OafEntity> orp = other.mapToPair(p -> new Tuple2<>(p.getId(),p));
JavaPairRDD<String, TypedRow> datasource_country = organizations.join(organization_datasource)
.map(x -> x._2()._1().setSourceId(x._2()._2().getTargetId())) // (OrganizationId,(TypedRow for Organization, TypedRow for Relation)
.mapToPair(toPair()); //(DatasourceId, TypedRowforOrganziation)
JavaPairRDD<String, TypedRow> alloweddatasources_country = datasources.join(datasource_country)
.mapToPair(ds -> new Tuple2<>(ds._1(), ds._2()._2()));
JavaPairRDD<String,TypedRow> toupdateresult = alloweddatasources_country.join(datasource_results)
.map(u -> u._2()._2().setCountry(u._2()._1().getCountry()))
.mapToPair(toPair())
.reduceByKey((a, p) -> {
if (a == null) {
return p;
}
if (p == null) {
return a;
}
HashSet<String> countries = new HashSet();
countries.addAll(Arrays.asList(a.getCountry().split(";")));
countries.addAll(Arrays.asList(p.getCountry().split(";")));
String country = new String();
for (String c : countries) {
country += c + ";";
}
return a.setCountry(country);
JavaRDD<Relation> newRels = instdatasource_organization.join(datasource_results)
.flatMap(c -> {
List<Relation> rels = new ArrayList();
rels.add(getRelation(c._2()._1().getTargetId(), c._2()._2().getTargetId(), RELATION_ORGANIZATION_RESULT_REL_CLASS,
RELATION_RESULTORGANIZATION_REL_TYPE, RELATION_RESULTORGANIZATION_SUBREL_TYPE, PROPAGATION_DATA_INFO_TYPE,
PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_ID, PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_NAME));
rels.add(getRelation(c._2()._2().getTargetId(), c._2()._1().getTargetId(), RELATION_ORGANIZATION_RESULT_REL_CLASS,
RELATION_RESULTORGANIZATION_REL_TYPE, RELATION_RESULTORGANIZATION_SUBREL_TYPE, PROPAGATION_DATA_INFO_TYPE,
PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_ID, PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_NAME));
return rels.iterator();
});
newRels.map(p -> new ObjectMapper().writeValueAsString(p))
.saveAsTextFile(outputPath + "/relation_new");
updateResult(pubs, toupdateresult, outputPath, "publication");
updateResult(dss, toupdateresult, outputPath, "dataset");
updateResult(sfw, toupdateresult, outputPath, "software");
updateResult(orp, toupdateresult, outputPath, "otherresearchproduct");
//we use leftOuterJoin because we want to rebuild the entire structure
}
private static void updateResult(JavaPairRDD<String, OafEntity> results, JavaPairRDD<String, TypedRow> toupdateresult, String outputPath, String type) {
results.leftOuterJoin(toupdateresult)
.map(c -> {
OafEntity oaf = c._2()._1();
List<Qualifier> qualifierList = null;
if (oaf.getClass() == Publication.class) {
qualifierList = ((Publication) oaf).getCountry();
}
if (oaf.getClass() == Dataset.class){
qualifierList = ((Dataset) oaf).getCountry();
}
if (oaf.getClass() == Software.class){
qualifierList = ((Software) oaf).getCountry();
}
if (oaf.getClass() == OtherResearchProduct.class){
qualifierList = ((OtherResearchProduct) oaf).getCountry();
}
if (c._2()._2().isPresent()) {
HashSet<String> countries = new HashSet<>();
for (Qualifier country : qualifierList) {
countries.add(country.getClassid());
}
TypedRow t = c._2()._2().get();
for (String country : t.getCountry().split(";")) {
if (!countries.contains(country)) {
Qualifier q = new Qualifier();
q.setClassid(country);
qualifierList.add(q);
}
}
if (oaf.getClass() == Publication.class) {
((Publication) oaf).setCountry(qualifierList);
return (Publication) oaf;
}
if (oaf.getClass() == Dataset.class){
((Dataset) oaf).setCountry(qualifierList);
return (Dataset) oaf;
}
if (oaf.getClass() == Software.class){
((Software) oaf).setCountry(qualifierList);
return (Software) oaf;
}
if (oaf.getClass() == OtherResearchProduct.class){
((OtherResearchProduct) oaf).setCountry(qualifierList);
return (OtherResearchProduct) oaf;
}
newRels.union(relations).map(p -> new ObjectMapper().writeValueAsString(p))
.saveAsTextFile(outputPath + "/relation");
}
return null;
})
.map(p -> new ObjectMapper().writeValueAsString(p))
.saveAsTextFile(outputPath+"/"+type);
}
private static List<TypedRow> getTypedRows(OafEntity oaf) {
List<TypedRow> lst = new ArrayList<>();
Set<String> datasources_provenance = new HashSet<>();
List<Instance> instanceList = null;
String type = "";
if (oaf.getClass() == Publication.class) {
instanceList = ((Publication) oaf).getInstance();
type = "publication";
}
if (oaf.getClass() == Dataset.class){
instanceList = ((Dataset)oaf).getInstance();
type = "dataset";
}
if (oaf.getClass() == Software.class){
instanceList = ((Software)oaf).getInstance();
type = "software";
}
if (oaf.getClass() == OtherResearchProduct.class){
instanceList = ((OtherResearchProduct)oaf).getInstance();
type = "otherresearchproduct";
}
for (Instance i : instanceList) {
datasources_provenance.add(i.getCollectedfrom().getKey());
datasources_provenance.add(i.getHostedby().getKey());
}
for (String dsId : datasources_provenance) {
lst.add(new TypedRow().setSourceId(dsId).setTargetId(oaf.getId()).setType(type));
}
return lst;
}
private static JavaPairRDD<String, TypedRow> getResults(JavaSparkContext sc , String inputPath){
return
sc.sequenceFile(inputPath + "/dataset", Text.class, Text.class)
.map(item -> new ObjectMapper().readValue(item._2().toString(), Dataset.class))
.filter(ds -> !ds.getDataInfo().getDeletedbyinference())
.map(oaf -> new TypedRow().setType("dataset").setSourceId(oaf.getId()))
.mapToPair(toPair())
.union(sc.sequenceFile(inputPath + "/otherresearchproduct", Text.class, Text.class)
.map(item -> new ObjectMapper().readValue(item._2().toString(), OtherResearchProduct.class))
.filter(o -> !o.getDataInfo().getDeletedbyinference())
.map(oaf -> new TypedRow().setType("otherresearchproduct").setSourceId(oaf.getId()))
.mapToPair(toPair()))
.union(sc.sequenceFile(inputPath + "/software", Text.class, Text.class)
.map(item -> new ObjectMapper().readValue(item._2().toString(), Software.class))
.filter(s -> !s.getDataInfo().getDeletedbyinference())
.map(oaf -> new TypedRow().setType("software").setSourceId(oaf.getId()))
.mapToPair(toPair()))
.union(sc.sequenceFile(inputPath + "/publication", Text.class, Text.class)
.map(item -> new ObjectMapper().readValue(item._2().toString(), Publication.class))
.filter(p -> !p.getDataInfo().getDeletedbyinference())
.map(oaf -> new TypedRow().setType("publication").setSourceId(oaf.getId()))
.mapToPair(toPair()));
}
private static PairFunction<TypedRow, String, TypedRow> toPair() {
return e -> new Tuple2<>( e.getSourceId(), e);
};
}
*/