145 lines
4.3 KiB
Java
145 lines
4.3 KiB
Java
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package eu.dnetlib.dhp.projecttoresult;
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import static eu.dnetlib.dhp.PropagationConstant.*;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.util.ArrayList;
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import java.util.Iterator;
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import java.util.List;
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import java.util.Optional;
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import org.apache.commons.io.IOUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.function.FlatMapFunction;
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import org.apache.spark.sql.*;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.countrypropagation.PrepareDatasourceCountryAssociation;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.Relation;
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import scala.Tuple2;
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public class SparkResultToProjectThroughSemRelJob {
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private static final Logger log = LoggerFactory.getLogger(PrepareDatasourceCountryAssociation.class);
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public static void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils
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.toString(
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SparkResultToProjectThroughSemRelJob.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/projecttoresult/input_projecttoresult_parameters.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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parser.parseArgument(args);
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Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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final String outputPath = parser.get("outputPath");
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log.info("outputPath {}: ", outputPath);
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final String potentialUpdatePath = parser.get("potentialUpdatePath");
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log.info("potentialUpdatePath {}: ", potentialUpdatePath);
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final String alreadyLinkedPath = parser.get("alreadyLinkedPath");
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log.info("alreadyLinkedPath {}: ", alreadyLinkedPath);
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final Boolean saveGraph = Boolean.valueOf(parser.get("saveGraph"));
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log.info("saveGraph: {}", saveGraph);
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SparkConf conf = new SparkConf();
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runWithSparkSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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if (isTest(parser)) {
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removeOutputDir(spark, outputPath);
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}
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execPropagation(
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spark, outputPath, alreadyLinkedPath, potentialUpdatePath, saveGraph);
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});
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}
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private static void execPropagation(
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SparkSession spark,
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String outputPath,
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String alreadyLinkedPath,
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String potentialUpdatePath,
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Boolean saveGraph) {
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Dataset<ResultProjectSet> toaddrelations = readPath(spark, potentialUpdatePath, ResultProjectSet.class);
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Dataset<ResultProjectSet> alreadyLinked = readPath(spark, alreadyLinkedPath, ResultProjectSet.class);
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if (saveGraph) {
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toaddrelations
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.joinWith(
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alreadyLinked,
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toaddrelations.col("resultId").equalTo(alreadyLinked.col("resultId")),
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"left_outer")
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.flatMap(mapRelationRn(), Encoders.bean(Relation.class))
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.write()
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.mode(SaveMode.Append)
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.option("compression", "gzip")
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.json(outputPath);
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}
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}
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private static FlatMapFunction<Tuple2<ResultProjectSet, ResultProjectSet>, Relation> mapRelationRn() {
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return value -> {
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List<Relation> new_relations = new ArrayList<>();
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ResultProjectSet potential_update = value._1();
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Optional<ResultProjectSet> already_linked = Optional.ofNullable(value._2());
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if (already_linked.isPresent()) {
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already_linked
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.get()
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.getProjectSet()
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.stream()
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.forEach(
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(p -> {
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potential_update.getProjectSet().remove(p);
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}));
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}
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String resId = potential_update.getResultId();
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potential_update
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.getProjectSet()
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.stream()
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.forEach(
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projectId -> {
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new_relations
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.add(
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getRelation(
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resId,
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projectId,
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ModelConstants.IS_PRODUCED_BY,
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ModelConstants.RESULT_PROJECT,
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ModelConstants.OUTCOME,
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PROPAGATION_DATA_INFO_TYPE,
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PROPAGATION_RELATION_RESULT_PROJECT_SEM_REL_CLASS_ID,
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PROPAGATION_RELATION_RESULT_PROJECT_SEM_REL_CLASS_NAME));
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new_relations
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.add(
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getRelation(
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projectId,
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resId,
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ModelConstants.PRODUCES,
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ModelConstants.RESULT_PROJECT,
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ModelConstants.OUTCOME,
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PROPAGATION_DATA_INFO_TYPE,
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PROPAGATION_RELATION_RESULT_PROJECT_SEM_REL_CLASS_ID,
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PROPAGATION_RELATION_RESULT_PROJECT_SEM_REL_CLASS_NAME));
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});
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return new_relations.iterator();
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};
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}
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}
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