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BrBETA_dnet-hadoop/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/orcidtoresultfromsemrel/SparkOrcidToResultFromSemRe...

213 lines
6.6 KiB
Java

package eu.dnetlib.dhp.orcidtoresultfromsemrel;
import static eu.dnetlib.dhp.PropagationConstant.*;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
import java.util.List;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
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.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.google.common.collect.Lists;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.PacePerson;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Author;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
import scala.Tuple2;
public class SparkOrcidToResultFromSemRelJob {
private static final Logger log = LoggerFactory.getLogger(SparkOrcidToResultFromSemRelJob.class);
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
SparkOrcidToResultFromSemRelJob.class
.getResourceAsStream(
"/eu/dnetlib/dhp/orcidtoresultfromsemrel/input_orcidtoresult_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String inputPath = parser.get("sourcePath");
log.info("inputPath: {}", inputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final String possibleUpdates = parser.get("possibleUpdatesPath");
log.info("possibleUpdatesPath: {}", possibleUpdates);
final String resultClassName = parser.get("resultTableName");
log.info("resultTableName: {}", resultClassName);
final Boolean saveGraph = Optional
.ofNullable(parser.get("saveGraph"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("saveGraph: {}", saveGraph);
Class<? extends Result> resultClazz = (Class<? extends Result>) Class.forName(resultClassName);
SparkConf conf = new SparkConf();
conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
runWithSparkHiveSession(
conf,
isSparkSessionManaged,
spark -> {
removeOutputDir(spark, outputPath);
if (saveGraph) {
execPropagation(spark, possibleUpdates, inputPath, outputPath, resultClazz);
}
});
}
private static <R extends Result> void execPropagation(
SparkSession spark,
String possibleUpdatesPath,
String inputPath,
String outputPath,
Class<R> resultClazz) {
// read possible updates (resultId and list of possible orcid to add
Dataset<ResultOrcidList> possible_updates = readPath(spark, possibleUpdatesPath, ResultOrcidList.class);
// read the result we have been considering
Dataset<R> result = readPath(spark, inputPath, resultClazz);
// make join result left_outer with possible updates
result
.joinWith(
possible_updates,
result.col("id").equalTo(possible_updates.col("resultId")),
"left_outer")
.map(authorEnrichFn(), Encoders.bean(resultClazz))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath);
}
private static <R extends Result> MapFunction<Tuple2<R, ResultOrcidList>, R> authorEnrichFn() {
return value -> {
R ret = value._1();
Optional<ResultOrcidList> rol = Optional.ofNullable(value._2());
if (rol.isPresent() && Optional.ofNullable(ret.getAuthor()).isPresent()) {
List<Author> toenrich_author = ret.getAuthor();
List<AutoritativeAuthor> autoritativeAuthors = rol.get().getAuthorList();
for (Author author : toenrich_author) {
if (!containsAllowedPid(author)) {
enrichAuthor(author, autoritativeAuthors);
}
}
}
return ret;
};
}
private static void enrichAuthor(Author a, List<AutoritativeAuthor> au) {
PacePerson pp = new PacePerson(a.getFullname(), false);
for (AutoritativeAuthor aa : au) {
if (enrichAuthor(aa, a, pp.getNormalisedFirstName(), pp.getNormalisedSurname())) {
return;
}
}
}
private static boolean enrichAuthor(AutoritativeAuthor autoritative_author, Author author,
String author_name,
String author_surname) {
boolean toaddpid = false;
if (StringUtils.isNotEmpty(autoritative_author.getSurname())) {
if (StringUtils.isNotEmpty(author.getSurname())) {
author_surname = author.getSurname();
}
if (StringUtils.isNotEmpty(author_surname)) {
// have the same surname. Check the name
if (autoritative_author
.getSurname()
.trim()
.equalsIgnoreCase(author_surname.trim()) && StringUtils.isNotEmpty(autoritative_author.getName())) {
if (StringUtils.isNotEmpty(author.getName())) {
author_name = author.getName();
}
if (StringUtils.isNotEmpty(author_name)) {
if (autoritative_author
.getName()
.trim()
.equalsIgnoreCase(author_name.trim())) {
toaddpid = true;
}
// they could be differently written (i.e. only the initials of the name
// in one of the two
else {
if (autoritative_author
.getName()
.trim()
.substring(0, 0)
.equalsIgnoreCase(author_name.trim().substring(0, 0))) {
toaddpid = true;
}
}
}
}
}
}
if (toaddpid) {
StructuredProperty p = new StructuredProperty();
p.setValue(autoritative_author.getOrcid());
p
.setQualifier(
getQualifier(
ModelConstants.ORCID_PENDING, ModelConstants.ORCID_CLASSNAME, ModelConstants.DNET_PID_TYPES));
p
.setDataInfo(
getDataInfo(
PROPAGATION_DATA_INFO_TYPE,
PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_ID,
PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_NAME,
ModelConstants.DNET_PROVENANCE_ACTIONS));
Optional<List<StructuredProperty>> authorPid = Optional.ofNullable(author.getPid());
if (authorPid.isPresent()) {
authorPid.get().add(p);
} else {
author.setPid(Lists.newArrayList(p));
}
}
return toaddpid;
}
private static boolean containsAllowedPid(Author a) {
Optional<List<StructuredProperty>> pids = Optional.ofNullable(a.getPid());
if (!pids.isPresent()) {
return false;
}
for (StructuredProperty pid : pids.get()) {
if (ModelConstants.ORCID_PENDING.equalsIgnoreCase(pid.getQualifier().getClassid()) ||
ModelConstants.ORCID.equalsIgnoreCase(pid.getQualifier().getClassid())) {
return true;
}
}
return false;
}
}