package eu.dnetlib.dhp.oa.dedup; import com.fasterxml.jackson.databind.DeserializationFeature; import com.fasterxml.jackson.databind.ObjectMapper; import eu.dnetlib.dhp.application.ArgumentApplicationParser; import eu.dnetlib.dhp.schema.oaf.DataInfo; import eu.dnetlib.dhp.schema.oaf.Oaf; import eu.dnetlib.dhp.schema.oaf.Relation; import eu.dnetlib.dhp.utils.ISLookupClientFactory; import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService; import eu.dnetlib.pace.util.MapDocumentUtil; import org.apache.commons.io.IOUtils; import org.apache.commons.logging.Log; import org.apache.commons.logging.LogFactory; import org.apache.hadoop.io.compress.GzipCodec; import org.apache.spark.SparkConf; 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.Function; import org.apache.spark.api.java.function.PairFunction; import org.apache.spark.sql.Dataset; import org.apache.spark.sql.Encoders; import org.apache.spark.sql.Row; import org.apache.spark.sql.SparkSession; import scala.Tuple2; import java.io.IOException; public class SparkPropagateRelation extends AbstractSparkAction { enum FieldType { SOURCE, TARGET } final static String SOURCEJSONPATH = "$.source"; final static String TARGETJSONPATH = "$.target"; private static final Log log = LogFactory.getLog(SparkPropagateRelation.class); public SparkPropagateRelation(ArgumentApplicationParser parser, SparkSession spark) throws Exception { super(parser, spark); } public static void main(String[] args) throws Exception { ArgumentApplicationParser parser = new ArgumentApplicationParser( IOUtils.toString( SparkCreateSimRels.class.getResourceAsStream("/eu/dnetlib/dhp/oa/dedup/propagateRelation_parameters.json"))); parser.parseArgument(args); new SparkPropagateRelation(parser, getSparkSession(parser)).run(ISLookupClientFactory.getLookUpService(parser.get("isLookUpUrl"))); } @Override public void run(ISLookUpService isLookUpService) { final String graphBasePath = parser.get("graphBasePath"); final String workingPath = parser.get("workingPath"); final String dedupGraphPath = parser.get("dedupGraphPath"); System.out.println(String.format("graphBasePath: '%s'", graphBasePath)); System.out.println(String.format("workingPath: '%s'", workingPath)); System.out.println(String.format("dedupGraphPath:'%s'", dedupGraphPath)); final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); final Dataset mergeRels = spark.read().load(DedupUtility.createMergeRelPath(workingPath, "*", "*")).as(Encoders.bean(Relation.class)); final JavaPairRDD mergedIds = mergeRels .where("relClass == 'merges'") .select(mergeRels.col("source"), mergeRels.col("target")) .distinct() .toJavaRDD() .mapToPair((PairFunction) r -> new Tuple2(r.getString(1), r.getString(0))); JavaRDD relations = sc.textFile(DedupUtility.createEntityPath(graphBasePath, "relation")); JavaRDD newRels = relations.mapToPair( (PairFunction) s -> new Tuple2(MapDocumentUtil.getJPathString(SOURCEJSONPATH, s), s)) .leftOuterJoin(mergedIds) .map((Function>>, String>) v1 -> { if (v1._2()._2().isPresent()) { return replaceField(v1._2()._1(), v1._2()._2().get(), FieldType.SOURCE); } return v1._2()._1(); }) .mapToPair( (PairFunction) s -> new Tuple2(MapDocumentUtil.getJPathString(TARGETJSONPATH, s), s)) .leftOuterJoin(mergedIds) .map((Function>>, String>) v1 -> { if (v1._2()._2().isPresent()) { return replaceField(v1._2()._1(), v1._2()._2().get(), FieldType.TARGET); } return v1._2()._1(); }).filter(SparkPropagateRelation::containsDedup) .repartition(500); //update deleted by inference relations = relations.mapToPair( (PairFunction) s -> new Tuple2(MapDocumentUtil.getJPathString(SOURCEJSONPATH, s), s)) .leftOuterJoin(mergedIds) .map((Function>>, String>) v1 -> { if (v1._2()._2().isPresent()) { return updateDeletedByInference(v1._2()._1(), Relation.class); } return v1._2()._1(); }) .mapToPair( (PairFunction) s -> new Tuple2(MapDocumentUtil.getJPathString(TARGETJSONPATH, s), s)) .leftOuterJoin(mergedIds) .map((Function>>, String>) v1 -> { if (v1._2()._2().isPresent()) { return updateDeletedByInference(v1._2()._1(), Relation.class); } return v1._2()._1(); }) .repartition(500); newRels.union(relations).repartition(1000) .saveAsTextFile(DedupUtility.createEntityPath(dedupGraphPath, "relation"), GzipCodec.class); } private static boolean containsDedup(final String json) { final String source = MapDocumentUtil.getJPathString(SOURCEJSONPATH, json); final String target = MapDocumentUtil.getJPathString(TARGETJSONPATH, json); return source.toLowerCase().contains("dedup") || target.toLowerCase().contains("dedup"); } private static String replaceField(final String json, final String id, final FieldType type) { ObjectMapper mapper = new ObjectMapper(); mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false); try { Relation relation = mapper.readValue(json, Relation.class); if (relation.getDataInfo() == null) relation.setDataInfo(new DataInfo()); relation.getDataInfo().setDeletedbyinference(false); switch (type) { case SOURCE: relation.setSource(id); return mapper.writeValueAsString(relation); case TARGET: relation.setTarget(id); return mapper.writeValueAsString(relation); default: throw new IllegalArgumentException(""); } } catch (IOException e) { throw new RuntimeException("unable to deserialize json relation: " + json, e); } } private static String updateDeletedByInference(final String json, final Class clazz) { final ObjectMapper mapper = new ObjectMapper(); mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false); try { Oaf entity = mapper.readValue(json, clazz); if (entity.getDataInfo()== null) entity.setDataInfo(new DataInfo()); entity.getDataInfo().setDeletedbyinference(true); return mapper.writeValueAsString(entity); } catch (IOException e) { throw new RuntimeException("Unable to convert json", e); } } }