[personEntity] added relations with projects extracting the info from the database

This commit is contained in:
Miriam Baglioni 2024-10-21 16:21:15 +02:00
parent ce4ee1189f
commit 09a2c93fc7
1 changed files with 133 additions and 33 deletions

View File

@ -2,13 +2,18 @@
package eu.dnetlib.dhp.actionmanager.personentity;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import static org.apache.spark.sql.functions.*;
import java.io.BufferedWriter;
import java.io.IOException;
import java.io.OutputStreamWriter;
import java.io.Serializable;
import java.nio.charset.StandardCharsets;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.util.*;
import java.util.stream.Collectors;
import eu.dnetlib.dhp.common.DbClient;
import org.apache.commons.cli.ParseException;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
@ -22,6 +27,7 @@ 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;
@ -43,9 +49,14 @@ import eu.dnetlib.dhp.schema.oaf.utils.PidType;
import eu.dnetlib.dhp.utils.DHPUtils;
import scala.Tuple2;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
public class ExtractPerson implements Serializable {
private static final Logger log = LoggerFactory.getLogger(ExtractPerson.class);
private static final String QUERY = "SELECT * FROM project_person WHERE pid_type = 'ORCID'";
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static final String OPENAIRE_PREFIX = "openaire____";
private static final String SEPARATOR = "::";
@ -62,6 +73,12 @@ public class ExtractPerson implements Serializable {
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 final String OPENAIRE_DATASOURCE_ID = "10|infrastruct_::f66f1bd369679b5b077dcdf006089556";
public static final String OPENAIRE_DATASOURCE_NAME = "OpenAIRE";
public static List<KeyValue> collectedfromOpenAIRE = OafMapperUtils
.listKeyValues(OPENAIRE_DATASOURCE_ID, OPENAIRE_DATASOURCE_NAME);
public static final DataInfo DATAINFO = OafMapperUtils
.dataInfo(
@ -106,19 +123,130 @@ public class ExtractPerson implements Serializable {
final String workingDir = parser.get("workingDir");
log.info("workingDir {}", workingDir);
final String dbUrl = parser.get("postgresUrl");
final String dbUser = parser.get("postgresUser");
final String dbPassword = parser.get("postgresPassword");
final String hdfsNameNode = parser.get("hdfsNameNode");
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
HdfsSupport.remove(outputPath, spark.sparkContext().hadoopConfiguration());
createActionSet(spark, inputPath, outputPath, workingDir);
extractInfoForActionSetFromORCID(spark, inputPath, workingDir);
extractInfoForActionSetFromProjects(spark, inputPath, workingDir, dbUrl, dbUser, dbPassword, workingDir + "/project", hdfsNameNode);
createActionSet(spark, outputPath, workingDir);
});
}
private static void createActionSet(SparkSession spark, String inputPath, String outputPath, String workingDir) {
private static void extractInfoForActionSetFromProjects(SparkSession spark, String inputPath, String workingDir,
String dbUrl, String dbUser, String dbPassword, String hdfsPath, String hdfsNameNode) throws IOException {
Configuration conf = new Configuration();
conf.set("fs.defaultFS", hdfsNameNode);
FileSystem fileSystem = FileSystem.get(conf);
Path hdfsWritePath = new Path(hdfsPath);
FSDataOutputStream fos = fileSystem.create(hdfsWritePath);
try (DbClient dbClient = new DbClient(dbUrl, dbUser, dbPassword)) {
try (BufferedWriter writer = new BufferedWriter(new OutputStreamWriter(fos, StandardCharsets.UTF_8))) {
dbClient.processResults(QUERY, rs -> writeRelation(getRelationWithProject(rs), writer));
}
} catch (IOException e) {
e.printStackTrace();
}
}
public static Relation getRelationWithProject(ResultSet rs) {
try {
return getProjectRelation(rs.getString("project"), rs.getString("pid"),
rs.getString("role"));
} catch (final SQLException e) {
throw new RuntimeException(e);
}
}
private static Relation getProjectRelation(String project, String orcid, String role) {
String source = PERSON_PREFIX + "::" + IdentifierFactory.md5(orcid);
String target = project.substring(0,14)
+ IdentifierFactory.md5(project.substring(15));
List<KeyValue> properties = new ArrayList<>();
Relation relation = OafMapperUtils
.getRelation(
source, target, ModelConstants.PROJECT_PERSON_RELTYPE, ModelConstants.PROJECT_PERSON_SUBRELTYPE,
ModelConstants.PROJECT_PERSON_PARTICIPATES,
collectedfromOpenAIRE,
DATAINFO,
null);
relation.setValidated(true);
if (StringUtil.isNotBlank(role)) {
KeyValue kv = new KeyValue();
kv.setKey("role");
kv.setValue(role);
properties.add(kv);
}
if (!properties.isEmpty())
relation.setProperties(properties);
return relation;
}
protected static void writeRelation(final Relation relation, BufferedWriter writer) {
try {
writer.write(OBJECT_MAPPER.writeValueAsString(relation));
writer.newLine();
} catch (final IOException e) {
throw new RuntimeException(e);
}
}
private static void createActionSet(SparkSession spark,String outputPath, String workingDir) {
Dataset<Person> people;
people = spark
.read()
.textFile(workingDir + "/people")
.map(
(MapFunction<String, Person>) value -> OBJECT_MAPPER
.readValue(value, Person.class),
Encoders.bean(Person.class));
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)))
.union(
getRelations(spark, workingDir + "/project")
.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 void extractInfoForActionSetFromORCID(SparkSession spark, String inputPath, String workingDir) {
Dataset<Author> authors = spark
.read()
.parquet(inputPath + "Authors")
@ -149,7 +277,7 @@ public class ExtractPerson implements Serializable {
.map((MapFunction<Tuple2<Employment, Author>, Employment>) t2 -> t2._1(), Encoders.bean(Employment.class));
//Mapping all the orcid profiles even if the profile has no visible works
Dataset<Person> people;
authors.map((MapFunction<Author, Person>) op -> {
Person person = new Person();
person.setId(DHPUtils.generateIdentifier(op.getOrcid(), PERSON_PREFIX));
@ -257,34 +385,6 @@ public class ExtractPerson implements Serializable {
.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) {