dnet-hadoop/dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkCopyOpenorgsMergeRels....

169 lines
5.6 KiB
Java

package eu.dnetlib.dhp.oa.dedup;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
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.dom4j.DocumentException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.sun.media.sound.ModelChannelMixer;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.DataInfo;
import eu.dnetlib.dhp.schema.oaf.KeyValue;
import eu.dnetlib.dhp.schema.oaf.Qualifier;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.utils.DHPUtils;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
import eu.dnetlib.pace.config.DedupConfig;
import net.sf.saxon.ma.trie.Tuple2;
public class SparkCopyOpenorgsMergeRels extends AbstractSparkAction {
private static final Logger log = LoggerFactory.getLogger(SparkCopyOpenorgsMergeRels.class);
public SparkCopyOpenorgsMergeRels(ArgumentApplicationParser parser, SparkSession spark) {
super(parser, spark);
}
public static void main(String[] args) throws Exception {
ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
SparkCopyOpenorgsMergeRels.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/dedup/copyOpenorgsMergeRels_parameters.json")));
parser.parseArgument(args);
SparkConf conf = new SparkConf();
new SparkCopyOpenorgsMergeRels(parser, getSparkSession(conf))
.run(ISLookupClientFactory.getLookUpService(parser.get("isLookUpUrl")));
}
@Override
public void run(ISLookUpService isLookUpService)
throws DocumentException, IOException, ISLookUpException {
// read oozie parameters
final String graphBasePath = parser.get("graphBasePath");
final String actionSetId = parser.get("actionSetId");
final String workingPath = parser.get("workingPath");
final int numPartitions = Optional
.ofNullable(parser.get("numPartitions"))
.map(Integer::valueOf)
.orElse(NUM_PARTITIONS);
log.info("numPartitions: '{}'", numPartitions);
log.info("graphBasePath: '{}'", graphBasePath);
log.info("actionSetId: '{}'", actionSetId);
log.info("workingPath: '{}'", workingPath);
log.info("Copying OpenOrgs Merge Rels");
final String outputPath = DedupUtility.createMergeRelPath(workingPath, actionSetId, "organization");
final String relationPath = DedupUtility.createEntityPath(graphBasePath, "relation");
DedupConfig dedupConf = getConfigurations(isLookUpService, actionSetId).get(0);
JavaRDD<Relation> rawRels = spark
.read()
.textFile(relationPath)
.map(patchRelFn(), Encoders.bean(Relation.class))
.toJavaRDD()
.filter(this::isOpenorgs)
.filter(this::filterOpenorgsRels);
JavaRDD<Relation> selfRawRels = rawRels
.map(r -> r.getSource())
.distinct()
.map(s -> rel(s, s, ModelConstants.IS_SIMILAR_TO, dedupConf));
log.info("Number of raw Openorgs Relations collected: {}", rawRels.count());
// turn openorgs isSimilarTo relations into mergerels
JavaRDD<Relation> mergeRelsRDD = rawRels
.union(selfRawRels)
.map(r -> {
r.setSource(createDedupID(r.getSource())); // create the dedup_id to align it to the openaire dedup
// format
return r;
})
.flatMap(rel -> {
List<Relation> mergerels = new ArrayList<>();
mergerels.add(rel(rel.getSource(), rel.getTarget(), ModelConstants.MERGES, dedupConf));
mergerels.add(rel(rel.getTarget(), rel.getSource(), ModelConstants.IS_MERGED_IN, dedupConf));
return mergerels.iterator();
});
log.info("Number of Openorgs Merge Relations created: {}", mergeRelsRDD.count());
spark
.createDataset(
mergeRelsRDD.rdd(),
Encoders.bean(Relation.class))
.write()
.mode(SaveMode.Append)
.parquet(outputPath);
}
private boolean filterOpenorgsRels(Relation rel) {
return rel.getRelClass().equals(ModelConstants.IS_SIMILAR_TO)
&& rel.getRelType().equals(ModelConstants.ORG_ORG_RELTYPE)
&& rel.getSubRelType().equals(ModelConstants.DEDUP);
}
private Relation rel(String source, String target, String relClass, DedupConfig dedupConf) {
String entityType = dedupConf.getWf().getEntityType();
Relation r = new Relation();
r.setSource(source);
r.setTarget(target);
r.setRelClass(relClass);
r.setRelType(entityType + entityType.substring(0, 1).toUpperCase() + entityType.substring(1));
r.setSubRelType(ModelConstants.DEDUP);
DataInfo info = new DataInfo();
info.setDeletedbyinference(false);
info.setInferred(true);
info.setInvisible(false);
info.setInferenceprovenance(dedupConf.getWf().getConfigurationId());
Qualifier provenanceAction = new Qualifier();
provenanceAction.setClassid(ModelConstants.PROVENANCE_DEDUP);
provenanceAction.setClassname(ModelConstants.PROVENANCE_DEDUP);
provenanceAction.setSchemeid(ModelConstants.DNET_PROVENANCE_ACTIONS);
provenanceAction.setSchemename(ModelConstants.DNET_PROVENANCE_ACTIONS);
info.setProvenanceaction(provenanceAction);
// TODO calculate the trust value based on the similarity score of the elements in the CC
// info.setTrust();
r.setDataInfo(info);
return r;
}
public String createDedupID(String id) {
String prefix = id.split("\\|")[0];
return prefix + "|dedup_wf_001::" + DHPUtils.md5(id);
}
}