Merge branch 'beta' into SWH_integration
This commit is contained in:
commit
73c49b8d26
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@ -26,3 +26,4 @@ spark-warehouse
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/**/*.log
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/**/.factorypath
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/**/.scalafmt.conf
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/.java-version
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||||
|
|
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|||
|
|
@ -1,97 +0,0 @@
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package eu.dnetlib.dhp.oa.merge;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.util.Objects;
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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.commons.lang3.StringUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.function.FilterFunction;
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import org.apache.spark.api.java.function.MapFunction;
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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 eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.common.HdfsSupport;
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import eu.dnetlib.dhp.schema.common.ModelSupport;
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public class DispatchEntitiesSparkJob {
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private static final Logger log = LoggerFactory.getLogger(DispatchEntitiesSparkJob.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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Objects
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.requireNonNull(
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DispatchEntitiesSparkJob.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/merge/dispatch_entities_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 = Optional
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.ofNullable(parser.get("isSparkSessionManaged"))
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.map(Boolean::valueOf)
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.orElse(Boolean.TRUE);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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String inputPath = parser.get("inputPath");
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log.info("inputPath: {}", inputPath);
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String outputPath = parser.get("outputPath");
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log.info("outputPath: {}", outputPath);
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boolean filterInvisible = Boolean.parseBoolean(parser.get("filterInvisible"));
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log.info("filterInvisible: {}", filterInvisible);
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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 -> dispatchEntities(spark, inputPath, outputPath, filterInvisible));
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}
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private static void dispatchEntities(
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SparkSession spark,
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String inputPath,
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String outputPath,
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boolean filterInvisible) {
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Dataset<String> df = spark.read().textFile(inputPath);
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ModelSupport.oafTypes.entrySet().parallelStream().forEach(entry -> {
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String entityType = entry.getKey();
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Class<?> clazz = entry.getValue();
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final String entityPath = outputPath + "/" + entityType;
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if (!entityType.equalsIgnoreCase("relation")) {
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HdfsSupport.remove(entityPath, spark.sparkContext().hadoopConfiguration());
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Dataset<Row> entityDF = spark
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.read()
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.schema(Encoders.bean(clazz).schema())
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.json(
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df
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.filter((FilterFunction<String>) s -> s.startsWith(clazz.getName()))
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.map(
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(MapFunction<String, String>) s -> StringUtils.substringAfter(s, "|"),
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||||
Encoders.STRING()));
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if (filterInvisible) {
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entityDF = entityDF.filter("dataInfo.invisible != true");
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}
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entityDF
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.write()
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.mode(SaveMode.Overwrite)
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.option("compression", "gzip")
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.json(entityPath);
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}
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});
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}
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}
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|
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@ -2,36 +2,28 @@
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package eu.dnetlib.dhp.oa.merge;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import static eu.dnetlib.dhp.utils.DHPUtils.toSeq;
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import static org.apache.spark.sql.functions.col;
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import static org.apache.spark.sql.functions.when;
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import java.io.IOException;
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import java.util.List;
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||||
import java.util.Objects;
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||||
import java.util.Map;
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import java.util.Optional;
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||||
import java.util.concurrent.ExecutionException;
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import java.util.concurrent.ForkJoinPool;
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import java.util.stream.Collectors;
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|
||||
import org.apache.commons.io.IOUtils;
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||||
import org.apache.commons.lang3.StringUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.JavaSparkContext;
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import org.apache.spark.api.java.function.FilterFunction;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.api.java.function.ReduceFunction;
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import org.apache.spark.sql.*;
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import org.apache.spark.sql.expressions.Aggregator;
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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.DeserializationFeature;
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||||
import com.fasterxml.jackson.databind.ObjectMapper;
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import com.jayway.jsonpath.Configuration;
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import com.jayway.jsonpath.DocumentContext;
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import com.jayway.jsonpath.JsonPath;
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import com.jayway.jsonpath.Option;
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|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.common.HdfsSupport;
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import eu.dnetlib.dhp.schema.common.EntityType;
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import eu.dnetlib.dhp.schema.common.ModelSupport;
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import eu.dnetlib.dhp.schema.oaf.*;
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import eu.dnetlib.dhp.schema.oaf.OafEntity;
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import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
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import scala.Tuple2;
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@ -39,13 +31,9 @@ import scala.Tuple2;
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* Groups the graph content by entity identifier to ensure ID uniqueness
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*/
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public class GroupEntitiesSparkJob {
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private static final Logger log = LoggerFactory.getLogger(GroupEntitiesSparkJob.class);
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||||
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||||
private static final String ID_JPATH = "$.id";
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||||
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||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper()
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.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
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||||
private static final Encoder<OafEntity> OAFENTITY_KRYO_ENC = Encoders.kryo(OafEntity.class);
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||||
public static void main(String[] args) throws Exception {
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||||
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||||
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@ -66,9 +54,15 @@ public class GroupEntitiesSparkJob {
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String graphInputPath = parser.get("graphInputPath");
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||||
log.info("graphInputPath: {}", graphInputPath);
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||||
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||||
String checkpointPath = parser.get("checkpointPath");
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||||
log.info("checkpointPath: {}", checkpointPath);
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||||
|
||||
String outputPath = parser.get("outputPath");
|
||||
log.info("outputPath: {}", outputPath);
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||||
|
||||
boolean filterInvisible = Boolean.valueOf(parser.get("filterInvisible"));
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||||
log.info("filterInvisible: {}", filterInvisible);
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||||
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||||
SparkConf conf = new SparkConf();
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||||
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
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||||
conf.registerKryoClasses(ModelSupport.getOafModelClasses());
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||||
|
|
@ -78,126 +72,95 @@ public class GroupEntitiesSparkJob {
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|||
isSparkSessionManaged,
|
||||
spark -> {
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||||
HdfsSupport.remove(outputPath, spark.sparkContext().hadoopConfiguration());
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||||
groupEntities(spark, graphInputPath, outputPath);
|
||||
groupEntities(spark, graphInputPath, checkpointPath, outputPath, filterInvisible);
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||||
});
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||||
}
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||||
|
||||
private static void groupEntities(
|
||||
SparkSession spark,
|
||||
String inputPath,
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||||
String outputPath) {
|
||||
String checkpointPath,
|
||||
String outputPath,
|
||||
boolean filterInvisible) {
|
||||
|
||||
Dataset<OafEntity> allEntities = spark.emptyDataset(OAFENTITY_KRYO_ENC);
|
||||
|
||||
for (Map.Entry<EntityType, Class> e : ModelSupport.entityTypes.entrySet()) {
|
||||
String entity = e.getKey().name();
|
||||
Class<? extends OafEntity> entityClass = e.getValue();
|
||||
String entityInputPath = inputPath + "/" + entity;
|
||||
|
||||
if (!HdfsSupport.exists(entityInputPath, spark.sparkContext().hadoopConfiguration())) {
|
||||
continue;
|
||||
}
|
||||
|
||||
allEntities = allEntities
|
||||
.union(
|
||||
((Dataset<OafEntity>) spark
|
||||
.read()
|
||||
.schema(Encoders.bean(entityClass).schema())
|
||||
.json(entityInputPath)
|
||||
.filter("length(id) > 0")
|
||||
.as(Encoders.bean(entityClass)))
|
||||
.map((MapFunction<OafEntity, OafEntity>) r -> r, OAFENTITY_KRYO_ENC));
|
||||
}
|
||||
|
||||
Dataset<?> groupedEntities = allEntities
|
||||
.groupByKey((MapFunction<OafEntity, String>) OafEntity::getId, Encoders.STRING())
|
||||
.reduceGroups((ReduceFunction<OafEntity>) (b, a) -> OafMapperUtils.mergeEntities(b, a))
|
||||
.map(
|
||||
(MapFunction<Tuple2<String, OafEntity>, Tuple2<String, OafEntity>>) t -> new Tuple2(
|
||||
t._2().getClass().getName(), t._2()),
|
||||
Encoders.tuple(Encoders.STRING(), OAFENTITY_KRYO_ENC));
|
||||
|
||||
// pivot on "_1" (classname of the entity)
|
||||
// created columns containing only entities of the same class
|
||||
for (Map.Entry<EntityType, Class> e : ModelSupport.entityTypes.entrySet()) {
|
||||
String entity = e.getKey().name();
|
||||
Class<? extends OafEntity> entityClass = e.getValue();
|
||||
|
||||
groupedEntities = groupedEntities
|
||||
.withColumn(
|
||||
entity,
|
||||
when(col("_1").equalTo(entityClass.getName()), col("_2")));
|
||||
}
|
||||
|
||||
groupedEntities
|
||||
.drop("_1", "_2")
|
||||
.write()
|
||||
.mode(SaveMode.Overwrite)
|
||||
.option("compression", "gzip")
|
||||
.save(checkpointPath);
|
||||
|
||||
ForkJoinPool parPool = new ForkJoinPool(ModelSupport.entityTypes.size());
|
||||
|
||||
ModelSupport.entityTypes
|
||||
.entrySet()
|
||||
.stream()
|
||||
.map(e -> parPool.submit(() -> {
|
||||
String entity = e.getKey().name();
|
||||
Class<? extends OafEntity> entityClass = e.getValue();
|
||||
|
||||
final TypedColumn<OafEntity, OafEntity> aggregator = new GroupingAggregator().toColumn();
|
||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
spark
|
||||
.read()
|
||||
.textFile(toSeq(listEntityPaths(inputPath, sc)))
|
||||
.map((MapFunction<String, OafEntity>) GroupEntitiesSparkJob::parseOaf, Encoders.kryo(OafEntity.class))
|
||||
.filter((FilterFunction<OafEntity>) e -> StringUtils.isNotBlank(ModelSupport.idFn().apply(e)))
|
||||
.groupByKey((MapFunction<OafEntity, String>) oaf -> ModelSupport.idFn().apply(oaf), Encoders.STRING())
|
||||
.agg(aggregator)
|
||||
.map(
|
||||
(MapFunction<Tuple2<String, OafEntity>, String>) t -> t._2().getClass().getName() +
|
||||
"|" + OBJECT_MAPPER.writeValueAsString(t._2()),
|
||||
Encoders.STRING())
|
||||
.load(checkpointPath)
|
||||
.select(col(entity).as("value"))
|
||||
.filter("value IS NOT NULL")
|
||||
.as(OAFENTITY_KRYO_ENC)
|
||||
.map((MapFunction<OafEntity, OafEntity>) r -> r, (Encoder<OafEntity>) Encoders.bean(entityClass))
|
||||
.filter(filterInvisible ? "dataInfo.invisible != TRUE" : "TRUE")
|
||||
.write()
|
||||
.option("compression", "gzip")
|
||||
.mode(SaveMode.Overwrite)
|
||||
.text(outputPath);
|
||||
}
|
||||
|
||||
public static class GroupingAggregator extends Aggregator<OafEntity, OafEntity, OafEntity> {
|
||||
|
||||
@Override
|
||||
public OafEntity zero() {
|
||||
return null;
|
||||
}
|
||||
|
||||
@Override
|
||||
public OafEntity reduce(OafEntity b, OafEntity a) {
|
||||
return mergeAndGet(b, a);
|
||||
}
|
||||
|
||||
private OafEntity mergeAndGet(OafEntity b, OafEntity a) {
|
||||
if (Objects.nonNull(a) && Objects.nonNull(b)) {
|
||||
return OafMapperUtils.mergeEntities(b, a);
|
||||
}
|
||||
return Objects.isNull(a) ? b : a;
|
||||
}
|
||||
|
||||
@Override
|
||||
public OafEntity merge(OafEntity b, OafEntity a) {
|
||||
return mergeAndGet(b, a);
|
||||
}
|
||||
|
||||
@Override
|
||||
public OafEntity finish(OafEntity j) {
|
||||
return j;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Encoder<OafEntity> bufferEncoder() {
|
||||
return Encoders.kryo(OafEntity.class);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Encoder<OafEntity> outputEncoder() {
|
||||
return Encoders.kryo(OafEntity.class);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
private static OafEntity parseOaf(String s) {
|
||||
|
||||
DocumentContext dc = JsonPath
|
||||
.parse(s, Configuration.defaultConfiguration().addOptions(Option.SUPPRESS_EXCEPTIONS));
|
||||
final String id = dc.read(ID_JPATH);
|
||||
if (StringUtils.isNotBlank(id)) {
|
||||
|
||||
String prefix = StringUtils.substringBefore(id, "|");
|
||||
switch (prefix) {
|
||||
case "10":
|
||||
return parse(s, Datasource.class);
|
||||
case "20":
|
||||
return parse(s, Organization.class);
|
||||
case "40":
|
||||
return parse(s, Project.class);
|
||||
case "50":
|
||||
String resultType = dc.read("$.resulttype.classid");
|
||||
switch (resultType) {
|
||||
case "publication":
|
||||
return parse(s, Publication.class);
|
||||
case "dataset":
|
||||
return parse(s, eu.dnetlib.dhp.schema.oaf.Dataset.class);
|
||||
case "software":
|
||||
return parse(s, Software.class);
|
||||
case "other":
|
||||
return parse(s, OtherResearchProduct.class);
|
||||
default:
|
||||
throw new IllegalArgumentException(String.format("invalid resultType: '%s'", resultType));
|
||||
}
|
||||
default:
|
||||
throw new IllegalArgumentException(String.format("invalid id prefix: '%s'", prefix));
|
||||
}
|
||||
} else {
|
||||
throw new IllegalArgumentException(String.format("invalid oaf: '%s'", s));
|
||||
}
|
||||
}
|
||||
|
||||
private static <T extends OafEntity> OafEntity parse(String s, Class<T> clazz) {
|
||||
.option("compression", "gzip")
|
||||
.json(outputPath + "/" + entity);
|
||||
}))
|
||||
.collect(Collectors.toList())
|
||||
.forEach(t -> {
|
||||
try {
|
||||
return OBJECT_MAPPER.readValue(s, clazz);
|
||||
} catch (IOException e) {
|
||||
throw new IllegalArgumentException(e);
|
||||
t.get();
|
||||
} catch (InterruptedException | ExecutionException e) {
|
||||
throw new RuntimeException(e);
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
private static List<String> listEntityPaths(String inputPath, JavaSparkContext sc) {
|
||||
return HdfsSupport
|
||||
.listFiles(inputPath, sc.hadoopConfiguration())
|
||||
.stream()
|
||||
.filter(f -> !f.toLowerCase().contains("relation"))
|
||||
.collect(Collectors.toList());
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,26 +0,0 @@
|
|||
[
|
||||
{
|
||||
"paramName": "issm",
|
||||
"paramLongName": "isSparkSessionManaged",
|
||||
"paramDescription": "when true will stop SparkSession after job execution",
|
||||
"paramRequired": false
|
||||
},
|
||||
{
|
||||
"paramName": "i",
|
||||
"paramLongName": "inputPath",
|
||||
"paramDescription": "the source path",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "o",
|
||||
"paramLongName": "outputPath",
|
||||
"paramDescription": "path of the output graph",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "fi",
|
||||
"paramLongName": "filterInvisible",
|
||||
"paramDescription": "if true filters out invisible entities",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
||||
|
|
@ -8,13 +8,25 @@
|
|||
{
|
||||
"paramName": "gin",
|
||||
"paramLongName": "graphInputPath",
|
||||
"paramDescription": "the graph root path",
|
||||
"paramDescription": "the input graph root path",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "cp",
|
||||
"paramLongName": "checkpointPath",
|
||||
"paramDescription": "checkpoint directory",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "out",
|
||||
"paramLongName": "outputPath",
|
||||
"paramDescription": "the output merged graph root path",
|
||||
"paramDescription": "the output graph root path",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "fi",
|
||||
"paramLongName": "filterInvisible",
|
||||
"paramDescription": "if true filters out invisible entities",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
||||
|
|
@ -81,7 +81,7 @@ case class SparkModel(conf: DedupConfig) {
|
|||
MapDocumentUtil.truncateList(
|
||||
MapDocumentUtil.getJPathList(fdef.getPath, documentContext, fdef.getType),
|
||||
fdef.getSize
|
||||
).toArray
|
||||
).asScala
|
||||
|
||||
case Type.StringConcat =>
|
||||
val jpaths = CONCAT_REGEX.split(fdef.getPath)
|
||||
|
|
|
|||
|
|
@ -1,6 +1,23 @@
|
|||
|
||||
package eu.dnetlib.pace.util;
|
||||
|
||||
/*
|
||||
* Diff Match and Patch
|
||||
* Copyright 2018 The diff-match-patch Authors.
|
||||
* https://github.com/google/diff-match-patch
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
/*
|
||||
* Diff Match and Patch
|
||||
* Copyright 2018 The diff-match-patch Authors.
|
||||
|
|
|
|||
|
|
@ -117,6 +117,11 @@ public class MapDocumentUtil {
|
|||
return result;
|
||||
}
|
||||
|
||||
if (type == Type.List && jresult instanceof List) {
|
||||
((List<?>) jresult).forEach(x -> result.add(x.toString()));
|
||||
return result;
|
||||
}
|
||||
|
||||
if (jresult instanceof JSONArray) {
|
||||
((JSONArray) jresult).forEach(it -> {
|
||||
try {
|
||||
|
|
|
|||
|
|
@ -12,6 +12,7 @@ import org.apache.commons.io.IOUtils;
|
|||
import org.apache.hadoop.io.Text;
|
||||
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
|
||||
import org.apache.spark.SparkConf;
|
||||
import org.apache.spark.api.java.JavaPairRDD;
|
||||
import org.apache.spark.api.java.function.FilterFunction;
|
||||
import org.apache.spark.api.java.function.FlatMapFunction;
|
||||
import org.apache.spark.api.java.function.MapFunction;
|
||||
|
|
@ -30,12 +31,16 @@ import eu.dnetlib.dhp.schema.common.ModelSupport;
|
|||
import eu.dnetlib.dhp.schema.oaf.*;
|
||||
import eu.dnetlib.dhp.schema.oaf.utils.CleaningFunctions;
|
||||
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
|
||||
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
|
||||
import eu.dnetlib.dhp.utils.DHPUtils;
|
||||
import scala.Tuple2;
|
||||
|
||||
public class CreateActionSetSparkJob implements Serializable {
|
||||
public static final String OPENCITATIONS_CLASSID = "sysimport:crosswalk:opencitations";
|
||||
public static final String OPENCITATIONS_CLASSNAME = "Imported from OpenCitations";
|
||||
private static final String ID_PREFIX = "50|doi_________::";
|
||||
private static final String DOI_PREFIX = "50|doi_________::";
|
||||
|
||||
private static final String PMID_PREFIX = "50|pmid________::";
|
||||
private static final String TRUST = "0.91";
|
||||
|
||||
private static final Logger log = LoggerFactory.getLogger(CreateActionSetSparkJob.class);
|
||||
|
|
@ -84,34 +89,56 @@ public class CreateActionSetSparkJob implements Serializable {
|
|||
|
||||
private static void extractContent(SparkSession spark, String inputPath, String outputPath,
|
||||
boolean shouldDuplicateRels) {
|
||||
spark
|
||||
|
||||
getTextTextJavaPairRDD(spark, inputPath, shouldDuplicateRels, "COCI")
|
||||
.union(getTextTextJavaPairRDD(spark, inputPath, shouldDuplicateRels, "POCI"))
|
||||
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class);
|
||||
|
||||
}
|
||||
|
||||
private static JavaPairRDD<Text, Text> getTextTextJavaPairRDD(SparkSession spark, String inputPath,
|
||||
boolean shouldDuplicateRels, String prefix) {
|
||||
return spark
|
||||
.read()
|
||||
.textFile(inputPath + "/*")
|
||||
.textFile(inputPath + "/" + prefix + "/" + prefix + "_JSON/*")
|
||||
.map(
|
||||
(MapFunction<String, COCI>) value -> OBJECT_MAPPER.readValue(value, COCI.class),
|
||||
Encoders.bean(COCI.class))
|
||||
.flatMap(
|
||||
(FlatMapFunction<COCI, Relation>) value -> createRelation(value, shouldDuplicateRels).iterator(),
|
||||
(FlatMapFunction<COCI, Relation>) value -> createRelation(
|
||||
value, shouldDuplicateRels, prefix)
|
||||
.iterator(),
|
||||
Encoders.bean(Relation.class))
|
||||
.filter((FilterFunction<Relation>) value -> value != null)
|
||||
.toJavaRDD()
|
||||
.map(p -> new AtomicAction(p.getClass(), p))
|
||||
.mapToPair(
|
||||
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
|
||||
new Text(OBJECT_MAPPER.writeValueAsString(aa))))
|
||||
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class);
|
||||
|
||||
new Text(OBJECT_MAPPER.writeValueAsString(aa))));
|
||||
}
|
||||
|
||||
private static List<Relation> createRelation(COCI value, boolean duplicate) {
|
||||
private static List<Relation> createRelation(COCI value, boolean duplicate, String p) {
|
||||
|
||||
List<Relation> relationList = new ArrayList<>();
|
||||
|
||||
String citing = ID_PREFIX
|
||||
String prefix;
|
||||
String citing;
|
||||
String cited;
|
||||
if (p.equals("COCI")) {
|
||||
prefix = DOI_PREFIX;
|
||||
citing = prefix
|
||||
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", value.getCiting()));
|
||||
final String cited = ID_PREFIX
|
||||
cited = prefix
|
||||
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", value.getCited()));
|
||||
|
||||
} else {
|
||||
prefix = PMID_PREFIX;
|
||||
citing = prefix
|
||||
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("pmid", value.getCiting()));
|
||||
cited = prefix
|
||||
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("pmid", value.getCited()));
|
||||
|
||||
}
|
||||
|
||||
if (!citing.equals(cited)) {
|
||||
relationList
|
||||
.add(
|
||||
|
|
@ -120,7 +147,7 @@ public class CreateActionSetSparkJob implements Serializable {
|
|||
cited, ModelConstants.CITES));
|
||||
|
||||
if (duplicate && value.getCiting().endsWith(".refs")) {
|
||||
citing = ID_PREFIX + IdentifierFactory
|
||||
citing = prefix + IdentifierFactory
|
||||
.md5(
|
||||
CleaningFunctions
|
||||
.normalizePidValue(
|
||||
|
|
@ -132,59 +159,30 @@ public class CreateActionSetSparkJob implements Serializable {
|
|||
return relationList;
|
||||
}
|
||||
|
||||
private static Collection<Relation> getRelations(String citing, String cited) {
|
||||
|
||||
return Arrays
|
||||
.asList(
|
||||
getRelation(citing, cited, ModelConstants.CITES),
|
||||
getRelation(cited, citing, ModelConstants.IS_CITED_BY));
|
||||
}
|
||||
|
||||
public static Relation getRelation(
|
||||
String source,
|
||||
String target,
|
||||
String relclass) {
|
||||
Relation r = new Relation();
|
||||
r.setCollectedfrom(getCollectedFrom());
|
||||
r.setSource(source);
|
||||
r.setTarget(target);
|
||||
r.setRelClass(relclass);
|
||||
r.setRelType(ModelConstants.RESULT_RESULT);
|
||||
r.setSubRelType(ModelConstants.CITATION);
|
||||
r
|
||||
.setDataInfo(
|
||||
getDataInfo());
|
||||
return r;
|
||||
}
|
||||
|
||||
public static List<KeyValue> getCollectedFrom() {
|
||||
KeyValue kv = new KeyValue();
|
||||
kv.setKey(ModelConstants.OPENOCITATIONS_ID);
|
||||
kv.setValue(ModelConstants.OPENOCITATIONS_NAME);
|
||||
|
||||
return Arrays.asList(kv);
|
||||
}
|
||||
|
||||
public static DataInfo getDataInfo() {
|
||||
DataInfo di = new DataInfo();
|
||||
di.setInferred(false);
|
||||
di.setDeletedbyinference(false);
|
||||
di.setTrust(TRUST);
|
||||
|
||||
di
|
||||
.setProvenanceaction(
|
||||
getQualifier(OPENCITATIONS_CLASSID, OPENCITATIONS_CLASSNAME, ModelConstants.DNET_PROVENANCE_ACTIONS));
|
||||
return di;
|
||||
}
|
||||
|
||||
public static Qualifier getQualifier(String class_id, String class_name,
|
||||
String qualifierSchema) {
|
||||
Qualifier pa = new Qualifier();
|
||||
pa.setClassid(class_id);
|
||||
pa.setClassname(class_name);
|
||||
pa.setSchemeid(qualifierSchema);
|
||||
pa.setSchemename(qualifierSchema);
|
||||
return pa;
|
||||
}
|
||||
return OafMapperUtils
|
||||
.getRelation(
|
||||
source,
|
||||
target,
|
||||
ModelConstants.RESULT_RESULT,
|
||||
ModelConstants.CITATION,
|
||||
relclass,
|
||||
Arrays
|
||||
.asList(
|
||||
OafMapperUtils.keyValue(ModelConstants.OPENOCITATIONS_ID, ModelConstants.OPENOCITATIONS_NAME)),
|
||||
OafMapperUtils
|
||||
.dataInfo(
|
||||
false, null, false, false,
|
||||
OafMapperUtils
|
||||
.qualifier(
|
||||
OPENCITATIONS_CLASSID, OPENCITATIONS_CLASSNAME,
|
||||
ModelConstants.DNET_PROVENANCE_ACTIONS, ModelConstants.DNET_PROVENANCE_ACTIONS),
|
||||
TRUST),
|
||||
null);
|
||||
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -45,6 +45,9 @@ public class GetOpenCitationsRefs implements Serializable {
|
|||
final String hdfsNameNode = parser.get("hdfsNameNode");
|
||||
log.info("hdfsNameNode {}", hdfsNameNode);
|
||||
|
||||
final String prefix = parser.get("prefix");
|
||||
log.info("prefix {}", prefix);
|
||||
|
||||
Configuration conf = new Configuration();
|
||||
conf.set("fs.defaultFS", hdfsNameNode);
|
||||
|
||||
|
|
@ -53,30 +56,31 @@ public class GetOpenCitationsRefs implements Serializable {
|
|||
GetOpenCitationsRefs ocr = new GetOpenCitationsRefs();
|
||||
|
||||
for (String file : inputFile) {
|
||||
ocr.doExtract(workingPath + "/Original/" + file, workingPath, fileSystem);
|
||||
ocr.doExtract(workingPath + "/Original/" + file, workingPath, fileSystem, prefix);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
private void doExtract(String inputFile, String workingPath, FileSystem fileSystem)
|
||||
private void doExtract(String inputFile, String workingPath, FileSystem fileSystem, String prefix)
|
||||
throws IOException {
|
||||
|
||||
final Path path = new Path(inputFile);
|
||||
|
||||
FSDataInputStream oc_zip = fileSystem.open(path);
|
||||
|
||||
int count = 1;
|
||||
// int count = 1;
|
||||
try (ZipInputStream zis = new ZipInputStream(oc_zip)) {
|
||||
ZipEntry entry = null;
|
||||
while ((entry = zis.getNextEntry()) != null) {
|
||||
|
||||
if (!entry.isDirectory()) {
|
||||
String fileName = entry.getName();
|
||||
fileName = fileName.substring(0, fileName.indexOf("T")) + "_" + count;
|
||||
count++;
|
||||
// fileName = fileName.substring(0, fileName.indexOf("T")) + "_" + count;
|
||||
fileName = fileName.substring(0, fileName.lastIndexOf("."));
|
||||
// count++;
|
||||
try (
|
||||
FSDataOutputStream out = fileSystem
|
||||
.create(new Path(workingPath + "/COCI/" + fileName + ".gz"));
|
||||
.create(new Path(workingPath + "/" + prefix + "/" + fileName + ".gz"));
|
||||
GZIPOutputStream gzipOs = new GZIPOutputStream(new BufferedOutputStream(out))) {
|
||||
|
||||
IOUtils.copy(zis, gzipOs);
|
||||
|
|
|
|||
|
|
@ -49,6 +49,9 @@ public class ReadCOCI implements Serializable {
|
|||
final String workingPath = parser.get("workingPath");
|
||||
log.info("workingPath {}", workingPath);
|
||||
|
||||
final String format = parser.get("format");
|
||||
log.info("format {}", format);
|
||||
|
||||
SparkConf sconf = new SparkConf();
|
||||
|
||||
final String delimiter = Optional
|
||||
|
|
@ -64,13 +67,14 @@ public class ReadCOCI implements Serializable {
|
|||
workingPath,
|
||||
inputFile,
|
||||
outputPath,
|
||||
delimiter);
|
||||
delimiter,
|
||||
format);
|
||||
});
|
||||
}
|
||||
|
||||
private static void doRead(SparkSession spark, String workingPath, String[] inputFiles,
|
||||
String outputPath,
|
||||
String delimiter) throws IOException {
|
||||
String delimiter, String format) throws IOException {
|
||||
|
||||
for (String inputFile : inputFiles) {
|
||||
String p_string = workingPath + "/" + inputFile + ".gz";
|
||||
|
|
@ -87,9 +91,15 @@ public class ReadCOCI implements Serializable {
|
|||
|
||||
cociData.map((MapFunction<Row, COCI>) row -> {
|
||||
COCI coci = new COCI();
|
||||
coci.setOci(row.getString(0));
|
||||
if (format.equals("COCI")) {
|
||||
coci.setCiting(row.getString(1));
|
||||
coci.setCited(row.getString(2));
|
||||
} else {
|
||||
coci.setCiting(String.valueOf(row.getInt(1)));
|
||||
coci.setCited(String.valueOf(row.getInt(2)));
|
||||
}
|
||||
coci.setOci(row.getString(0));
|
||||
|
||||
return coci;
|
||||
}, Encoders.bean(COCI.class))
|
||||
.write()
|
||||
|
|
|
|||
|
|
@ -21,5 +21,10 @@
|
|||
"paramLongName": "shouldDuplicateRels",
|
||||
"paramDescription": "the hdfs name node",
|
||||
"paramRequired": false
|
||||
},{
|
||||
"paramName": "p",
|
||||
"paramLongName": "prefix",
|
||||
"paramDescription": "the hdfs name node",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
||||
|
|
|
|||
|
|
@ -16,5 +16,11 @@
|
|||
"paramLongName": "hdfsNameNode",
|
||||
"paramDescription": "the hdfs name node",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "p",
|
||||
"paramLongName": "prefix",
|
||||
"paramDescription": "COCI or POCI",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
||||
|
|
|
|||
|
|
@ -30,6 +30,11 @@
|
|||
"paramLongName": "inputFile",
|
||||
"paramDescription": "the hdfs name node",
|
||||
"paramRequired": true
|
||||
}, {
|
||||
"paramName": "f",
|
||||
"paramLongName": "format",
|
||||
"paramDescription": "the hdfs name node",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
||||
|
||||
|
|
|
|||
|
|
@ -46,7 +46,7 @@
|
|||
</configuration>
|
||||
<exec>download.sh</exec>
|
||||
<argument>${filelist}</argument>
|
||||
<argument>${workingPath}/Original</argument>
|
||||
<argument>${workingPath}/${prefix}/Original</argument>
|
||||
<env-var>HADOOP_USER_NAME=${wf:user()}</env-var>
|
||||
<file>download.sh</file>
|
||||
<capture-output/>
|
||||
|
|
@ -59,7 +59,8 @@
|
|||
<main-class>eu.dnetlib.dhp.actionmanager.opencitations.GetOpenCitationsRefs</main-class>
|
||||
<arg>--hdfsNameNode</arg><arg>${nameNode}</arg>
|
||||
<arg>--inputFile</arg><arg>${inputFile}</arg>
|
||||
<arg>--workingPath</arg><arg>${workingPath}</arg>
|
||||
<arg>--workingPath</arg><arg>${workingPath}/${prefix}</arg>
|
||||
<arg>--prefix</arg><arg>${prefix}</arg>
|
||||
</java>
|
||||
<ok to="read"/>
|
||||
<error to="Kill"/>
|
||||
|
|
@ -82,10 +83,11 @@
|
|||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
|
||||
</spark-opts>
|
||||
<arg>--workingPath</arg><arg>${workingPath}/COCI</arg>
|
||||
<arg>--outputPath</arg><arg>${workingPath}/COCI_JSON/</arg>
|
||||
<arg>--workingPath</arg><arg>${workingPath}/${prefix}/${prefix}</arg>
|
||||
<arg>--outputPath</arg><arg>${workingPath}/${prefix}/${prefix}_JSON/</arg>
|
||||
<arg>--delimiter</arg><arg>${delimiter}</arg>
|
||||
<arg>--inputFile</arg><arg>${inputFileCoci}</arg>
|
||||
<arg>--format</arg><arg>${prefix}</arg>
|
||||
</spark>
|
||||
<ok to="create_actionset"/>
|
||||
<error to="Kill"/>
|
||||
|
|
@ -108,8 +110,9 @@
|
|||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
|
||||
</spark-opts>
|
||||
<arg>--inputPath</arg><arg>${workingPath}/COCI_JSON</arg>
|
||||
<arg>--inputPath</arg><arg>${workingPath}</arg>
|
||||
<arg>--outputPath</arg><arg>${outputPath}</arg>
|
||||
<arg>--prefix</arg><arg>${prefix}</arg>
|
||||
</spark>
|
||||
<ok to="End"/>
|
||||
<error to="Kill"/>
|
||||
|
|
|
|||
|
|
@ -2,7 +2,9 @@
|
|||
package eu.dnetlib.dhp.broker.oa.util;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.nio.charset.StandardCharsets;
|
||||
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.apache.spark.sql.Row;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
|
@ -27,10 +29,14 @@ public class TrustUtils {
|
|||
static {
|
||||
mapper = new ObjectMapper();
|
||||
try {
|
||||
dedupConfig = mapper
|
||||
.readValue(
|
||||
DedupConfig.class.getResourceAsStream("/eu/dnetlib/dhp/broker/oa/dedupConfig/dedupConfig.json"),
|
||||
DedupConfig.class);
|
||||
dedupConfig = DedupConfig
|
||||
.load(
|
||||
IOUtils
|
||||
.toString(
|
||||
DedupConfig.class
|
||||
.getResourceAsStream("/eu/dnetlib/dhp/broker/oa/dedupConfig/dedupConfig.json"),
|
||||
StandardCharsets.UTF_8));
|
||||
|
||||
deduper = new SparkDeduper(dedupConfig);
|
||||
} catch (final IOException e) {
|
||||
log.error("Error loading dedupConfig, e");
|
||||
|
|
@ -57,7 +63,7 @@ public class TrustUtils {
|
|||
return TrustUtils.rescale(score, threshold);
|
||||
} catch (final Exception e) {
|
||||
log.error("Error computing score between results", e);
|
||||
return BrokerConstants.MIN_TRUST;
|
||||
throw new RuntimeException(e);
|
||||
}
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -1,57 +0,0 @@
|
|||
|
||||
package eu.dnetlib.dhp.oa.dedup;
|
||||
|
||||
import java.util.Objects;
|
||||
|
||||
import org.apache.spark.sql.Encoder;
|
||||
import org.apache.spark.sql.Encoders;
|
||||
import org.apache.spark.sql.expressions.Aggregator;
|
||||
|
||||
import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||
|
||||
public class RelationAggregator extends Aggregator<Relation, Relation, Relation> {
|
||||
|
||||
private static final Relation ZERO = new Relation();
|
||||
|
||||
@Override
|
||||
public Relation zero() {
|
||||
return ZERO;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Relation reduce(Relation b, Relation a) {
|
||||
return mergeRel(b, a);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Relation merge(Relation b, Relation a) {
|
||||
return mergeRel(b, a);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Relation finish(Relation r) {
|
||||
return r;
|
||||
}
|
||||
|
||||
private Relation mergeRel(Relation b, Relation a) {
|
||||
if (Objects.equals(b, ZERO)) {
|
||||
return a;
|
||||
}
|
||||
if (Objects.equals(a, ZERO)) {
|
||||
return b;
|
||||
}
|
||||
|
||||
b.mergeFrom(a);
|
||||
return b;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Encoder<Relation> bufferEncoder() {
|
||||
return Encoders.kryo(Relation.class);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Encoder<Relation> outputEncoder() {
|
||||
return Encoders.kryo(Relation.class);
|
||||
}
|
||||
}
|
||||
|
|
@ -1,78 +0,0 @@
|
|||
package eu.dnetlib.dhp.oa.dedup
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.common.HdfsSupport
|
||||
import eu.dnetlib.dhp.schema.oaf.Relation
|
||||
import eu.dnetlib.dhp.utils.ISLookupClientFactory
|
||||
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql._
|
||||
import org.apache.spark.sql.functions.col
|
||||
import org.apache.spark.sql.types.{DataTypes, StructField, StructType}
|
||||
import org.slf4j.LoggerFactory
|
||||
|
||||
object SparkCleanRelation {
|
||||
private val log = LoggerFactory.getLogger(classOf[SparkCleanRelation])
|
||||
|
||||
@throws[Exception]
|
||||
def main(args: Array[String]): Unit = {
|
||||
val parser = new ArgumentApplicationParser(
|
||||
IOUtils.toString(
|
||||
classOf[SparkCleanRelation].getResourceAsStream("/eu/dnetlib/dhp/oa/dedup/cleanRelation_parameters.json")
|
||||
)
|
||||
)
|
||||
parser.parseArgument(args)
|
||||
val conf = new SparkConf
|
||||
|
||||
new SparkCleanRelation(parser, AbstractSparkAction.getSparkSession(conf))
|
||||
.run(ISLookupClientFactory.getLookUpService(parser.get("isLookUpUrl")))
|
||||
}
|
||||
}
|
||||
|
||||
class SparkCleanRelation(parser: ArgumentApplicationParser, spark: SparkSession)
|
||||
extends AbstractSparkAction(parser, spark) {
|
||||
override def run(isLookUpService: ISLookUpService): Unit = {
|
||||
val graphBasePath = parser.get("graphBasePath")
|
||||
val inputPath = parser.get("inputPath")
|
||||
val outputPath = parser.get("outputPath")
|
||||
|
||||
SparkCleanRelation.log.info("graphBasePath: '{}'", graphBasePath)
|
||||
SparkCleanRelation.log.info("inputPath: '{}'", inputPath)
|
||||
SparkCleanRelation.log.info("outputPath: '{}'", outputPath)
|
||||
|
||||
AbstractSparkAction.removeOutputDir(spark, outputPath)
|
||||
|
||||
val entities =
|
||||
Seq("datasource", "project", "organization", "publication", "dataset", "software", "otherresearchproduct")
|
||||
|
||||
val idsSchema = StructType.fromDDL("`id` STRING, `dataInfo` STRUCT<`deletedbyinference`:BOOLEAN,`invisible`:BOOLEAN>")
|
||||
|
||||
val emptyIds = spark.createDataFrame(spark.sparkContext.emptyRDD[Row].setName("empty"),
|
||||
idsSchema)
|
||||
|
||||
val ids = entities
|
||||
.foldLeft(emptyIds)((ds, entity) => {
|
||||
val entityPath = graphBasePath + '/' + entity
|
||||
if (HdfsSupport.exists(entityPath, spark.sparkContext.hadoopConfiguration)) {
|
||||
ds.union(spark.read.schema(idsSchema).json(entityPath))
|
||||
} else {
|
||||
ds
|
||||
}
|
||||
})
|
||||
.filter("dataInfo.deletedbyinference != true AND dataInfo.invisible != true")
|
||||
.select("id")
|
||||
.distinct()
|
||||
|
||||
val relations = spark.read.schema(Encoders.bean(classOf[Relation]).schema).json(inputPath)
|
||||
.filter("dataInfo.deletedbyinference != true AND dataInfo.invisible != true")
|
||||
|
||||
AbstractSparkAction.save(
|
||||
relations
|
||||
.join(ids, col("source") === ids("id"), "leftsemi")
|
||||
.join(ids, col("target") === ids("id"), "leftsemi"),
|
||||
outputPath,
|
||||
SaveMode.Overwrite
|
||||
)
|
||||
}
|
||||
}
|
||||
|
|
@ -3,23 +3,19 @@ package eu.dnetlib.dhp.oa.dedup;
|
|||
|
||||
import static org.apache.spark.sql.functions.col;
|
||||
|
||||
import java.util.Arrays;
|
||||
import java.util.Collections;
|
||||
import java.util.Iterator;
|
||||
import java.util.Objects;
|
||||
|
||||
import org.apache.commons.beanutils.BeanUtils;
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
import org.apache.spark.SparkConf;
|
||||
import org.apache.spark.api.java.function.FilterFunction;
|
||||
import org.apache.spark.api.java.function.MapFunction;
|
||||
import org.apache.spark.api.java.function.ReduceFunction;
|
||||
import org.apache.spark.sql.*;
|
||||
import org.apache.spark.sql.catalyst.encoders.RowEncoder;
|
||||
import org.apache.spark.sql.types.StructType;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||
import eu.dnetlib.dhp.common.HdfsSupport;
|
||||
import eu.dnetlib.dhp.schema.common.EntityType;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
import eu.dnetlib.dhp.schema.common.ModelSupport;
|
||||
import eu.dnetlib.dhp.schema.oaf.DataInfo;
|
||||
|
|
@ -70,73 +66,63 @@ public class SparkPropagateRelation extends AbstractSparkAction {
|
|||
log.info("workingPath: '{}'", workingPath);
|
||||
log.info("graphOutputPath: '{}'", graphOutputPath);
|
||||
|
||||
final String outputRelationPath = DedupUtility.createEntityPath(graphOutputPath, "relation");
|
||||
removeOutputDir(spark, outputRelationPath);
|
||||
|
||||
Dataset<Relation> mergeRels = spark
|
||||
.read()
|
||||
.load(DedupUtility.createMergeRelPath(workingPath, "*", "*"))
|
||||
.as(REL_BEAN_ENC);
|
||||
|
||||
// <mergedObjectID, dedupID>
|
||||
Dataset<Row> mergedIds = mergeRels
|
||||
Dataset<Row> idsToMerge = mergeRels
|
||||
.where(col("relClass").equalTo(ModelConstants.MERGES))
|
||||
.select(col("source").as("dedupID"), col("target").as("mergedObjectID"))
|
||||
.distinct()
|
||||
.cache();
|
||||
.distinct();
|
||||
|
||||
Dataset<Row> allRels = spark
|
||||
.read()
|
||||
.schema(REL_BEAN_ENC.schema())
|
||||
.json(DedupUtility.createEntityPath(graphBasePath, "relation"));
|
||||
.json(graphBasePath + "/relation");
|
||||
|
||||
Dataset<Relation> dedupedRels = allRels
|
||||
.joinWith(mergedIds, allRels.col("source").equalTo(mergedIds.col("mergedObjectID")), "left_outer")
|
||||
.joinWith(mergedIds, col("_1.target").equalTo(mergedIds.col("mergedObjectID")), "left_outer")
|
||||
.joinWith(idsToMerge, allRels.col("source").equalTo(idsToMerge.col("mergedObjectID")), "left_outer")
|
||||
.joinWith(idsToMerge, col("_1.target").equalTo(idsToMerge.col("mergedObjectID")), "left_outer")
|
||||
.select("_1._1", "_1._2.dedupID", "_2.dedupID")
|
||||
.as(Encoders.tuple(REL_BEAN_ENC, Encoders.STRING(), Encoders.STRING()))
|
||||
.flatMap(SparkPropagateRelation::addInferredRelations, REL_KRYO_ENC);
|
||||
|
||||
Dataset<Relation> processedRelations = distinctRelations(
|
||||
dedupedRels.union(mergeRels.map((MapFunction<Relation, Relation>) r -> r, REL_KRYO_ENC)))
|
||||
.filter((FilterFunction<Relation>) r -> !Objects.equals(r.getSource(), r.getTarget()));
|
||||
|
||||
save(processedRelations, outputRelationPath, SaveMode.Overwrite);
|
||||
}
|
||||
|
||||
private static Iterator<Relation> addInferredRelations(Tuple3<Relation, String, String> t) throws Exception {
|
||||
Relation existingRel = t._1();
|
||||
.map((MapFunction<Tuple3<Relation, String, String>, Relation>) t -> {
|
||||
Relation rel = t._1();
|
||||
String newSource = t._2();
|
||||
String newTarget = t._3();
|
||||
|
||||
if (newSource == null && newTarget == null) {
|
||||
return Collections.singleton(t._1()).iterator();
|
||||
if (rel.getDataInfo() == null) {
|
||||
rel.setDataInfo(new DataInfo());
|
||||
}
|
||||
|
||||
// update existing relation
|
||||
if (existingRel.getDataInfo() == null) {
|
||||
existingRel.setDataInfo(new DataInfo());
|
||||
}
|
||||
existingRel.getDataInfo().setDeletedbyinference(true);
|
||||
|
||||
// Create new relation inferred by dedupIDs
|
||||
Relation inferredRel = (Relation) BeanUtils.cloneBean(existingRel);
|
||||
|
||||
inferredRel.setDataInfo((DataInfo) BeanUtils.cloneBean(existingRel.getDataInfo()));
|
||||
inferredRel.getDataInfo().setDeletedbyinference(false);
|
||||
if (newSource != null || newTarget != null) {
|
||||
rel.getDataInfo().setDeletedbyinference(false);
|
||||
|
||||
if (newSource != null)
|
||||
inferredRel.setSource(newSource);
|
||||
rel.setSource(newSource);
|
||||
|
||||
if (newTarget != null)
|
||||
inferredRel.setTarget(newTarget);
|
||||
|
||||
return Arrays.asList(existingRel, inferredRel).iterator();
|
||||
rel.setTarget(newTarget);
|
||||
}
|
||||
|
||||
private Dataset<Relation> distinctRelations(Dataset<Relation> rels) {
|
||||
return rels
|
||||
.filter(getRelationFilterFunction())
|
||||
return rel;
|
||||
}, REL_BEAN_ENC);
|
||||
|
||||
// ids of records that are both not deletedbyinference and not invisible
|
||||
Dataset<Row> ids = validIds(spark, graphBasePath);
|
||||
|
||||
// filter relations that point to valid records, can force them to be visible
|
||||
Dataset<Relation> cleanedRels = dedupedRels
|
||||
.join(ids, col("source").equalTo(ids.col("id")), "leftsemi")
|
||||
.join(ids, col("target").equalTo(ids.col("id")), "leftsemi")
|
||||
.as(REL_BEAN_ENC)
|
||||
.map((MapFunction<Relation, Relation>) r -> {
|
||||
r.getDataInfo().setInvisible(false);
|
||||
return r;
|
||||
}, REL_KRYO_ENC);
|
||||
|
||||
Dataset<Relation> distinctRels = cleanedRels
|
||||
.groupByKey(
|
||||
(MapFunction<Relation, String>) r -> String
|
||||
.join(" ", r.getSource(), r.getTarget(), r.getRelType(), r.getSubRelType(), r.getRelClass()),
|
||||
|
|
@ -146,13 +132,33 @@ public class SparkPropagateRelation extends AbstractSparkAction {
|
|||
return b;
|
||||
})
|
||||
.map((MapFunction<Tuple2<String, Relation>, Relation>) Tuple2::_2, REL_BEAN_ENC);
|
||||
|
||||
final String outputRelationPath = graphOutputPath + "/relation";
|
||||
removeOutputDir(spark, outputRelationPath);
|
||||
save(
|
||||
distinctRels
|
||||
.union(mergeRels)
|
||||
.filter("source != target AND dataInfo.deletedbyinference != true AND dataInfo.invisible != true"),
|
||||
outputRelationPath,
|
||||
SaveMode.Overwrite);
|
||||
}
|
||||
|
||||
private FilterFunction<Relation> getRelationFilterFunction() {
|
||||
return r -> StringUtils.isNotBlank(r.getSource()) ||
|
||||
StringUtils.isNotBlank(r.getTarget()) ||
|
||||
StringUtils.isNotBlank(r.getRelType()) ||
|
||||
StringUtils.isNotBlank(r.getSubRelType()) ||
|
||||
StringUtils.isNotBlank(r.getRelClass());
|
||||
static Dataset<Row> validIds(SparkSession spark, String graphBasePath) {
|
||||
StructType idsSchema = StructType
|
||||
.fromDDL("`id` STRING, `dataInfo` STRUCT<`deletedbyinference`:BOOLEAN,`invisible`:BOOLEAN>");
|
||||
|
||||
Dataset<Row> allIds = spark.emptyDataset(RowEncoder.apply(idsSchema));
|
||||
|
||||
for (EntityType entityType : ModelSupport.entityTypes.keySet()) {
|
||||
String entityPath = graphBasePath + '/' + entityType.name();
|
||||
if (HdfsSupport.exists(entityPath, spark.sparkContext().hadoopConfiguration())) {
|
||||
allIds = allIds.union(spark.read().schema(idsSchema).json(entityPath));
|
||||
}
|
||||
}
|
||||
|
||||
return allIds
|
||||
.filter("dataInfo.deletedbyinference != true AND dataInfo.invisible != true")
|
||||
.select("id")
|
||||
.distinct();
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,20 +0,0 @@
|
|||
[
|
||||
{
|
||||
"paramName": "i",
|
||||
"paramLongName": "graphBasePath",
|
||||
"paramDescription": "the base path of raw graph",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "w",
|
||||
"paramLongName": "inputPath",
|
||||
"paramDescription": "the path to the input relation to cleanup",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "o",
|
||||
"paramLongName": "outputPath",
|
||||
"paramDescription": "the path of the output relation cleaned",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
||||
|
|
@ -100,35 +100,9 @@
|
|||
--conf spark.sql.shuffle.partitions=15000
|
||||
</spark-opts>
|
||||
<arg>--graphBasePath</arg><arg>${graphBasePath}</arg>
|
||||
<arg>--graphOutputPath</arg><arg>${workingPath}/propagaterelation/</arg>
|
||||
<arg>--graphOutputPath</arg><arg>${graphOutputPath}</arg>
|
||||
<arg>--workingPath</arg><arg>${workingPath}</arg>
|
||||
</spark>
|
||||
<ok to="CleanRelation"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="CleanRelation">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Clean Relations</name>
|
||||
<class>eu.dnetlib.dhp.oa.dedup.SparkCleanRelation</class>
|
||||
<jar>dhp-dedup-openaire-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-memory=${sparkExecutorMemory}
|
||||
--conf spark.executor.memoryOverhead=${sparkExecutorMemoryOverhead}
|
||||
--executor-cores=${sparkExecutorCores}
|
||||
--driver-memory=${sparkDriverMemory}
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
--conf spark.sql.shuffle.partitions=15000
|
||||
</spark-opts>
|
||||
<arg>--graphBasePath</arg><arg>${graphBasePath}</arg>
|
||||
<arg>--inputPath</arg><arg>${workingPath}/propagaterelation/relation</arg>
|
||||
<arg>--outputPath</arg><arg>${graphOutputPath}/relation</arg>
|
||||
</spark>
|
||||
<ok to="group_entities"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
|
@ -152,31 +126,7 @@
|
|||
--conf spark.sql.shuffle.partitions=15000
|
||||
</spark-opts>
|
||||
<arg>--graphInputPath</arg><arg>${graphBasePath}</arg>
|
||||
<arg>--outputPath</arg><arg>${workingPath}/grouped_entities</arg>
|
||||
</spark>
|
||||
<ok to="dispatch_entities"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="dispatch_entities">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Dispatch grouped entitities</name>
|
||||
<class>eu.dnetlib.dhp.oa.merge.DispatchEntitiesSparkJob</class>
|
||||
<jar>dhp-dedup-openaire-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-memory=${sparkExecutorMemory}
|
||||
--conf spark.executor.memoryOverhead=${sparkExecutorMemoryOverhead}
|
||||
--executor-cores=${sparkExecutorCores}
|
||||
--driver-memory=${sparkDriverMemory}
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
--conf spark.sql.shuffle.partitions=7680
|
||||
</spark-opts>
|
||||
<arg>--inputPath</arg><arg>${workingPath}/grouped_entities</arg>
|
||||
<arg>--checkpointPath</arg><arg>${workingPath}/grouped_entities</arg>
|
||||
<arg>--outputPath</arg><arg>${graphOutputPath}</arg>
|
||||
<arg>--filterInvisible</arg><arg>${filterInvisible}</arg>
|
||||
</spark>
|
||||
|
|
|
|||
|
|
@ -3,7 +3,6 @@ package eu.dnetlib.dhp.oa.dedup;
|
|||
|
||||
import static java.nio.file.Files.createTempDirectory;
|
||||
|
||||
import static org.apache.spark.sql.functions.col;
|
||||
import static org.apache.spark.sql.functions.count;
|
||||
import static org.junit.jupiter.api.Assertions.*;
|
||||
import static org.mockito.Mockito.lenient;
|
||||
|
|
@ -23,14 +22,13 @@ import java.util.stream.Collectors;
|
|||
import org.apache.commons.io.FileUtils;
|
||||
import org.apache.commons.io.IOUtils;
|
||||
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.function.FilterFunction;
|
||||
import org.apache.spark.api.java.function.MapFunction;
|
||||
import org.apache.spark.api.java.function.PairFunction;
|
||||
import org.apache.spark.sql.*;
|
||||
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 org.junit.jupiter.api.*;
|
||||
import org.junit.jupiter.api.extension.ExtendWith;
|
||||
import org.mockito.Mock;
|
||||
|
|
@ -46,8 +44,6 @@ import eu.dnetlib.dhp.schema.common.ModelConstants;
|
|||
import eu.dnetlib.dhp.schema.oaf.*;
|
||||
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
|
||||
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
|
||||
import eu.dnetlib.pace.util.MapDocumentUtil;
|
||||
import scala.Tuple2;
|
||||
|
||||
@ExtendWith(MockitoExtension.class)
|
||||
@TestMethodOrder(MethodOrderer.OrderAnnotation.class)
|
||||
|
|
@ -62,6 +58,8 @@ public class SparkDedupTest implements Serializable {
|
|||
private static String testGraphBasePath;
|
||||
private static String testOutputBasePath;
|
||||
private static String testDedupGraphBasePath;
|
||||
private static String testConsistencyGraphBasePath;
|
||||
|
||||
private static final String testActionSetId = "test-orchestrator";
|
||||
private static String whitelistPath;
|
||||
private static List<String> whiteList;
|
||||
|
|
@ -75,6 +73,7 @@ public class SparkDedupTest implements Serializable {
|
|||
.get(SparkDedupTest.class.getResource("/eu/dnetlib/dhp/dedup/entities").toURI())
|
||||
.toFile()
|
||||
.getAbsolutePath();
|
||||
|
||||
testOutputBasePath = createTempDirectory(SparkDedupTest.class.getSimpleName() + "-")
|
||||
.toAbsolutePath()
|
||||
.toString();
|
||||
|
|
@ -83,6 +82,10 @@ public class SparkDedupTest implements Serializable {
|
|||
.toAbsolutePath()
|
||||
.toString();
|
||||
|
||||
testConsistencyGraphBasePath = createTempDirectory(SparkDedupTest.class.getSimpleName() + "-")
|
||||
.toAbsolutePath()
|
||||
.toString();
|
||||
|
||||
whitelistPath = Paths
|
||||
.get(SparkDedupTest.class.getResource("/eu/dnetlib/dhp/dedup/whitelist.simrels.txt").toURI())
|
||||
.toFile()
|
||||
|
|
@ -674,22 +677,45 @@ public class SparkDedupTest implements Serializable {
|
|||
assertEquals(mergedOrp, deletedOrp);
|
||||
}
|
||||
|
||||
@Test
|
||||
@Order(6)
|
||||
void copyRelationsNoOpenorgsTest() throws Exception {
|
||||
|
||||
ArgumentApplicationParser parser = new ArgumentApplicationParser(
|
||||
IOUtils
|
||||
.toString(
|
||||
SparkCopyRelationsNoOpenorgs.class
|
||||
.getResourceAsStream(
|
||||
"/eu/dnetlib/dhp/oa/dedup/updateEntity_parameters.json")));
|
||||
parser
|
||||
.parseArgument(
|
||||
new String[] {
|
||||
"-i", testGraphBasePath, "-w", testOutputBasePath, "-o", testDedupGraphBasePath
|
||||
});
|
||||
|
||||
new SparkCopyRelationsNoOpenorgs(parser, spark).run(isLookUpService);
|
||||
|
||||
final Dataset<Row> outputRels = spark.read().text(testDedupGraphBasePath + "/relation");
|
||||
|
||||
System.out.println(outputRels.count());
|
||||
// assertEquals(2382, outputRels.count());
|
||||
}
|
||||
|
||||
@Test
|
||||
@Order(7)
|
||||
void propagateRelationTest() throws Exception {
|
||||
|
||||
ArgumentApplicationParser parser = new ArgumentApplicationParser(
|
||||
classPathResourceAsString("/eu/dnetlib/dhp/oa/dedup/propagateRelation_parameters.json"));
|
||||
String outputRelPath = testDedupGraphBasePath + "/propagaterelation";
|
||||
parser
|
||||
.parseArgument(
|
||||
new String[] {
|
||||
"-i", testGraphBasePath, "-w", testOutputBasePath, "-o", outputRelPath
|
||||
"-i", testDedupGraphBasePath, "-w", testOutputBasePath, "-o", testConsistencyGraphBasePath
|
||||
});
|
||||
|
||||
new SparkPropagateRelation(parser, spark).run(isLookUpService);
|
||||
|
||||
long relations = jsc.textFile(outputRelPath + "/relation").count();
|
||||
long relations = jsc.textFile(testDedupGraphBasePath + "/relation").count();
|
||||
|
||||
// assertEquals(4860, relations);
|
||||
System.out.println("relations = " + relations);
|
||||
|
|
@ -699,95 +725,52 @@ public class SparkDedupTest implements Serializable {
|
|||
.read()
|
||||
.load(DedupUtility.createMergeRelPath(testOutputBasePath, "*", "*"))
|
||||
.as(Encoders.bean(Relation.class));
|
||||
final JavaPairRDD<String, String> mergedIds = mergeRels
|
||||
.where("relClass == 'merges'")
|
||||
.select(mergeRels.col("target"))
|
||||
.distinct()
|
||||
.toJavaRDD()
|
||||
.mapToPair(
|
||||
(PairFunction<Row, String, String>) r -> new Tuple2<String, String>(r.getString(0), "d"));
|
||||
|
||||
JavaRDD<String> toCheck = jsc
|
||||
.textFile(outputRelPath + "/relation")
|
||||
.mapToPair(json -> new Tuple2<>(MapDocumentUtil.getJPathString("$.source", json), json))
|
||||
.join(mergedIds)
|
||||
.map(t -> t._2()._1())
|
||||
.mapToPair(json -> new Tuple2<>(MapDocumentUtil.getJPathString("$.target", json), json))
|
||||
.join(mergedIds)
|
||||
.map(t -> t._2()._1());
|
||||
Dataset<Row> inputRels = spark
|
||||
.read()
|
||||
.json(testDedupGraphBasePath + "/relation");
|
||||
|
||||
long deletedbyinference = toCheck.filter(this::isDeletedByInference).count();
|
||||
long updated = toCheck.count();
|
||||
Dataset<Row> outputRels = spark
|
||||
.read()
|
||||
.json(testConsistencyGraphBasePath + "/relation");
|
||||
|
||||
assertEquals(updated, deletedbyinference);
|
||||
assertEquals(
|
||||
0, outputRels
|
||||
.filter("dataInfo.deletedbyinference == true OR dataInfo.invisible == true")
|
||||
.count());
|
||||
|
||||
assertEquals(
|
||||
5, outputRels
|
||||
.filter("relClass NOT IN ('merges', 'isMergedIn')")
|
||||
.count());
|
||||
|
||||
assertEquals(5 + mergeRels.count(), outputRels.count());
|
||||
}
|
||||
|
||||
@Test
|
||||
@Order(8)
|
||||
void testCleanBaseRelations() throws Exception {
|
||||
ArgumentApplicationParser parser = new ArgumentApplicationParser(
|
||||
classPathResourceAsString("/eu/dnetlib/dhp/oa/dedup/cleanRelation_parameters.json"));
|
||||
|
||||
// append dangling relations to be cleaned up
|
||||
void testCleanedPropagatedRelations() throws Exception {
|
||||
Dataset<Row> df_before = spark
|
||||
.read()
|
||||
.schema(Encoders.bean(Relation.class).schema())
|
||||
.json(testGraphBasePath + "/relation");
|
||||
Dataset<Row> df_input = df_before
|
||||
.unionByName(df_before.drop("source").withColumn("source", functions.lit("n/a")))
|
||||
.unionByName(df_before.drop("target").withColumn("target", functions.lit("n/a")));
|
||||
df_input.write().mode(SaveMode.Overwrite).json(testOutputBasePath + "_tmp");
|
||||
|
||||
parser
|
||||
.parseArgument(
|
||||
new String[] {
|
||||
"--graphBasePath", testGraphBasePath,
|
||||
"--inputPath", testGraphBasePath + "/relation",
|
||||
"--outputPath", testDedupGraphBasePath + "/relation"
|
||||
});
|
||||
|
||||
new SparkCleanRelation(parser, spark).run(isLookUpService);
|
||||
.json(testDedupGraphBasePath + "/relation");
|
||||
|
||||
Dataset<Row> df_after = spark
|
||||
.read()
|
||||
.schema(Encoders.bean(Relation.class).schema())
|
||||
.json(testDedupGraphBasePath + "/relation");
|
||||
|
||||
assertNotEquals(df_before.count(), df_input.count());
|
||||
assertNotEquals(df_input.count(), df_after.count());
|
||||
assertEquals(5, df_after.count());
|
||||
}
|
||||
|
||||
@Test
|
||||
@Order(9)
|
||||
void testCleanDedupedRelations() throws Exception {
|
||||
ArgumentApplicationParser parser = new ArgumentApplicationParser(
|
||||
classPathResourceAsString("/eu/dnetlib/dhp/oa/dedup/cleanRelation_parameters.json"));
|
||||
|
||||
String inputRelPath = testDedupGraphBasePath + "/propagaterelation/relation";
|
||||
|
||||
// append dangling relations to be cleaned up
|
||||
Dataset<Row> df_before = spark.read().schema(Encoders.bean(Relation.class).schema()).json(inputRelPath);
|
||||
|
||||
df_before.filter(col("dataInfo.deletedbyinference").notEqual(true)).show(50, false);
|
||||
|
||||
parser
|
||||
.parseArgument(
|
||||
new String[] {
|
||||
"--graphBasePath", testGraphBasePath,
|
||||
"--inputPath", inputRelPath,
|
||||
"--outputPath", testDedupGraphBasePath + "/relation"
|
||||
});
|
||||
|
||||
new SparkCleanRelation(parser, spark).run(isLookUpService);
|
||||
|
||||
Dataset<Row> df_after = spark
|
||||
.read()
|
||||
.schema(Encoders.bean(Relation.class).schema())
|
||||
.json(testDedupGraphBasePath + "/relation");
|
||||
.json(testConsistencyGraphBasePath + "/relation");
|
||||
|
||||
assertNotEquals(df_before.count(), df_after.count());
|
||||
assertEquals(0, df_after.count());
|
||||
|
||||
assertEquals(
|
||||
0, df_after
|
||||
.filter("dataInfo.deletedbyinference == true OR dataInfo.invisible == true")
|
||||
.count());
|
||||
|
||||
assertEquals(
|
||||
5, df_after
|
||||
.filter("relClass NOT IN ('merges', 'isMergedIn')")
|
||||
.count());
|
||||
}
|
||||
|
||||
@Test
|
||||
|
|
@ -813,6 +796,7 @@ public class SparkDedupTest implements Serializable {
|
|||
public static void finalCleanUp() throws IOException {
|
||||
FileUtils.deleteDirectory(new File(testOutputBasePath));
|
||||
FileUtils.deleteDirectory(new File(testDedupGraphBasePath));
|
||||
FileUtils.deleteDirectory(new File(testConsistencyGraphBasePath));
|
||||
}
|
||||
|
||||
public boolean isDeletedByInference(String s) {
|
||||
|
|
|
|||
|
|
@ -3,6 +3,7 @@ package eu.dnetlib.dhp.oa.dedup;
|
|||
|
||||
import static java.nio.file.Files.createTempDirectory;
|
||||
|
||||
import static org.apache.spark.sql.functions.col;
|
||||
import static org.junit.jupiter.api.Assertions.assertEquals;
|
||||
import static org.mockito.Mockito.lenient;
|
||||
|
||||
|
|
@ -15,10 +16,6 @@ import java.nio.file.Paths;
|
|||
import org.apache.commons.io.FileUtils;
|
||||
import org.apache.commons.io.IOUtils;
|
||||
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.function.PairFunction;
|
||||
import org.apache.spark.sql.Dataset;
|
||||
import org.apache.spark.sql.Encoders;
|
||||
import org.apache.spark.sql.Row;
|
||||
|
|
@ -33,8 +30,6 @@ import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
|||
import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
|
||||
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
|
||||
import eu.dnetlib.pace.util.MapDocumentUtil;
|
||||
import scala.Tuple2;
|
||||
|
||||
@ExtendWith(MockitoExtension.class)
|
||||
@TestMethodOrder(MethodOrderer.OrderAnnotation.class)
|
||||
|
|
@ -44,11 +39,11 @@ public class SparkOpenorgsProvisionTest implements Serializable {
|
|||
ISLookUpService isLookUpService;
|
||||
|
||||
private static SparkSession spark;
|
||||
private static JavaSparkContext jsc;
|
||||
|
||||
private static String testGraphBasePath;
|
||||
private static String testOutputBasePath;
|
||||
private static String testDedupGraphBasePath;
|
||||
private static String testConsistencyGraphBasePath;
|
||||
private static final String testActionSetId = "test-orchestrator";
|
||||
|
||||
@BeforeAll
|
||||
|
|
@ -64,6 +59,9 @@ public class SparkOpenorgsProvisionTest implements Serializable {
|
|||
testDedupGraphBasePath = createTempDirectory(SparkOpenorgsProvisionTest.class.getSimpleName() + "-")
|
||||
.toAbsolutePath()
|
||||
.toString();
|
||||
testConsistencyGraphBasePath = createTempDirectory(SparkOpenorgsProvisionTest.class.getSimpleName() + "-")
|
||||
.toAbsolutePath()
|
||||
.toString();
|
||||
|
||||
FileUtils.deleteDirectory(new File(testOutputBasePath));
|
||||
FileUtils.deleteDirectory(new File(testDedupGraphBasePath));
|
||||
|
|
@ -76,8 +74,13 @@ public class SparkOpenorgsProvisionTest implements Serializable {
|
|||
.master("local[*]")
|
||||
.config(conf)
|
||||
.getOrCreate();
|
||||
}
|
||||
|
||||
jsc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
@AfterAll
|
||||
public static void finalCleanUp() throws IOException {
|
||||
FileUtils.deleteDirectory(new File(testOutputBasePath));
|
||||
FileUtils.deleteDirectory(new File(testDedupGraphBasePath));
|
||||
FileUtils.deleteDirectory(new File(testConsistencyGraphBasePath));
|
||||
}
|
||||
|
||||
@BeforeEach
|
||||
|
|
@ -186,26 +189,21 @@ public class SparkOpenorgsProvisionTest implements Serializable {
|
|||
|
||||
new SparkUpdateEntity(parser, spark).run(isLookUpService);
|
||||
|
||||
long organizations = jsc.textFile(testDedupGraphBasePath + "/organization").count();
|
||||
Dataset<Row> organizations = spark.read().json(testDedupGraphBasePath + "/organization");
|
||||
|
||||
long mergedOrgs = spark
|
||||
Dataset<Row> mergedOrgs = spark
|
||||
.read()
|
||||
.load(testOutputBasePath + "/" + testActionSetId + "/organization_mergerel")
|
||||
.as(Encoders.bean(Relation.class))
|
||||
.where("relClass=='merges'")
|
||||
.javaRDD()
|
||||
.map(Relation::getTarget)
|
||||
.distinct()
|
||||
.count();
|
||||
.select("target")
|
||||
.distinct();
|
||||
|
||||
assertEquals(80, organizations);
|
||||
assertEquals(80, organizations.count());
|
||||
|
||||
long deletedOrgs = jsc
|
||||
.textFile(testDedupGraphBasePath + "/organization")
|
||||
.filter(this::isDeletedByInference)
|
||||
.count();
|
||||
Dataset<Row> deletedOrgs = organizations
|
||||
.filter("dataInfo.deletedbyinference = TRUE");
|
||||
|
||||
assertEquals(mergedOrgs, deletedOrgs);
|
||||
assertEquals(mergedOrgs.count(), deletedOrgs.count());
|
||||
}
|
||||
|
||||
@Test
|
||||
|
|
@ -226,10 +224,9 @@ public class SparkOpenorgsProvisionTest implements Serializable {
|
|||
|
||||
new SparkCopyRelationsNoOpenorgs(parser, spark).run(isLookUpService);
|
||||
|
||||
final JavaRDD<String> rels = jsc.textFile(testDedupGraphBasePath + "/relation");
|
||||
|
||||
assertEquals(2382, rels.count());
|
||||
final Dataset<Row> outputRels = spark.read().text(testDedupGraphBasePath + "/relation");
|
||||
|
||||
assertEquals(2382, outputRels.count());
|
||||
}
|
||||
|
||||
@Test
|
||||
|
|
@ -244,51 +241,41 @@ public class SparkOpenorgsProvisionTest implements Serializable {
|
|||
parser
|
||||
.parseArgument(
|
||||
new String[] {
|
||||
"-i", testGraphBasePath, "-w", testOutputBasePath, "-o", testDedupGraphBasePath
|
||||
"-i", testDedupGraphBasePath, "-w", testOutputBasePath, "-o", testConsistencyGraphBasePath
|
||||
});
|
||||
|
||||
new SparkPropagateRelation(parser, spark).run(isLookUpService);
|
||||
|
||||
long relations = jsc.textFile(testDedupGraphBasePath + "/relation").count();
|
||||
|
||||
assertEquals(4896, relations);
|
||||
|
||||
// check deletedbyinference
|
||||
final Dataset<Relation> mergeRels = spark
|
||||
.read()
|
||||
.load(DedupUtility.createMergeRelPath(testOutputBasePath, "*", "*"))
|
||||
.as(Encoders.bean(Relation.class));
|
||||
final JavaPairRDD<String, String> mergedIds = mergeRels
|
||||
|
||||
Dataset<Row> inputRels = spark
|
||||
.read()
|
||||
.json(testDedupGraphBasePath + "/relation");
|
||||
|
||||
Dataset<Row> outputRels = spark
|
||||
.read()
|
||||
.json(testConsistencyGraphBasePath + "/relation");
|
||||
|
||||
final Dataset<Row> mergedIds = mergeRels
|
||||
.where("relClass == 'merges'")
|
||||
.select(mergeRels.col("target"))
|
||||
.distinct()
|
||||
.toJavaRDD()
|
||||
.mapToPair(
|
||||
(PairFunction<Row, String, String>) r -> new Tuple2<String, String>(r.getString(0), "d"));
|
||||
.select(col("target").as("id"))
|
||||
.distinct();
|
||||
|
||||
JavaRDD<String> toCheck = jsc
|
||||
.textFile(testDedupGraphBasePath + "/relation")
|
||||
.mapToPair(json -> new Tuple2<>(MapDocumentUtil.getJPathString("$.source", json), json))
|
||||
.join(mergedIds)
|
||||
.map(t -> t._2()._1())
|
||||
.mapToPair(json -> new Tuple2<>(MapDocumentUtil.getJPathString("$.target", json), json))
|
||||
.join(mergedIds)
|
||||
.map(t -> t._2()._1());
|
||||
Dataset<Row> toUpdateRels = inputRels
|
||||
.as("rel")
|
||||
.join(mergedIds.as("s"), col("rel.source").equalTo(col("s.id")), "left_outer")
|
||||
.join(mergedIds.as("t"), col("rel.target").equalTo(col("t.id")), "left_outer")
|
||||
.filter("s.id IS NOT NULL OR t.id IS NOT NULL")
|
||||
.distinct();
|
||||
|
||||
long deletedbyinference = toCheck.filter(this::isDeletedByInference).count();
|
||||
long updated = toCheck.count();
|
||||
Dataset<Row> updatedRels = inputRels
|
||||
.select("source", "target", "relClass")
|
||||
.except(outputRels.select("source", "target", "relClass"));
|
||||
|
||||
assertEquals(updated, deletedbyinference);
|
||||
assertEquals(toUpdateRels.count(), updatedRels.count());
|
||||
assertEquals(140, outputRels.count());
|
||||
}
|
||||
|
||||
@AfterAll
|
||||
public static void finalCleanUp() throws IOException {
|
||||
FileUtils.deleteDirectory(new File(testOutputBasePath));
|
||||
FileUtils.deleteDirectory(new File(testDedupGraphBasePath));
|
||||
}
|
||||
|
||||
public boolean isDeletedByInference(String s) {
|
||||
return s.contains("\"deletedbyinference\":true");
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -96,30 +96,7 @@
|
|||
--conf spark.sql.shuffle.partitions=15000
|
||||
</spark-opts>
|
||||
<arg>--graphInputPath</arg><arg>${graphBasePath}</arg>
|
||||
<arg>--outputPath</arg><arg>${workingPath}/grouped_entities</arg>
|
||||
</spark>
|
||||
<ok to="dispatch_entities"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="dispatch_entities">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Dispatch grouped entities</name>
|
||||
<class>eu.dnetlib.dhp.oa.merge.DispatchEntitiesSparkJob</class>
|
||||
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-cores=${sparkExecutorCores}
|
||||
--executor-memory=${sparkExecutorMemory}
|
||||
--driver-memory=${sparkDriverMemory}
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
--conf spark.sql.shuffle.partitions=7680
|
||||
</spark-opts>
|
||||
<arg>--inputPath</arg><arg>${workingPath}/grouped_entities</arg>
|
||||
<arg>--checkpointPath</arg><arg>${workingPath}/grouped_entities</arg>
|
||||
<arg>--outputPath</arg><arg>${graphOutputPath}</arg>
|
||||
<arg>--filterInvisible</arg><arg>${filterInvisible}</arg>
|
||||
</spark>
|
||||
|
|
|
|||
|
|
@ -1,16 +1,15 @@
|
|||
|
||||
package eu.dnetlib.dhp.oa.graph.group;
|
||||
|
||||
import static org.junit.jupiter.api.Assertions.assertEquals;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.net.URISyntaxException;
|
||||
import java.nio.file.Files;
|
||||
import java.nio.file.Path;
|
||||
import java.nio.file.Paths;
|
||||
|
||||
import com.fasterxml.jackson.databind.DeserializationFeature;
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import eu.dnetlib.dhp.common.HdfsSupport;
|
||||
import eu.dnetlib.dhp.oa.merge.GroupEntitiesSparkJob;
|
||||
import eu.dnetlib.dhp.schema.common.ModelSupport;
|
||||
import eu.dnetlib.dhp.schema.oaf.OafEntity;
|
||||
import eu.dnetlib.dhp.schema.oaf.Result;
|
||||
import eu.dnetlib.dhp.utils.DHPUtils;
|
||||
import org.apache.commons.io.FileUtils;
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
import org.apache.spark.SparkConf;
|
||||
import org.apache.spark.api.java.function.FilterFunction;
|
||||
import org.apache.spark.api.java.function.MapFunction;
|
||||
|
|
@ -19,15 +18,13 @@ import org.apache.spark.sql.Encoders;
|
|||
import org.apache.spark.sql.SparkSession;
|
||||
import org.junit.jupiter.api.*;
|
||||
|
||||
import com.fasterxml.jackson.databind.DeserializationFeature;
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import java.io.IOException;
|
||||
import java.net.URISyntaxException;
|
||||
import java.nio.file.Files;
|
||||
import java.nio.file.Path;
|
||||
import java.nio.file.Paths;
|
||||
|
||||
import eu.dnetlib.dhp.common.HdfsSupport;
|
||||
import eu.dnetlib.dhp.oa.merge.DispatchEntitiesSparkJob;
|
||||
import eu.dnetlib.dhp.oa.merge.GroupEntitiesSparkJob;
|
||||
import eu.dnetlib.dhp.schema.common.ModelSupport;
|
||||
import eu.dnetlib.dhp.schema.oaf.Result;
|
||||
import eu.dnetlib.dhp.utils.DHPUtils;
|
||||
import static org.junit.jupiter.api.Assertions.assertEquals;
|
||||
|
||||
@TestMethodOrder(MethodOrderer.OrderAnnotation.class)
|
||||
public class GroupEntitiesSparkJobTest {
|
||||
|
|
@ -40,8 +37,9 @@ public class GroupEntitiesSparkJobTest {
|
|||
private static Path workingDir;
|
||||
private Path dataInputPath;
|
||||
|
||||
private Path groupEntityPath;
|
||||
private Path dispatchEntityPath;
|
||||
private Path checkpointPath;
|
||||
|
||||
private Path outputPath;
|
||||
|
||||
@BeforeAll
|
||||
public static void beforeAll() throws IOException {
|
||||
|
|
@ -58,8 +56,8 @@ public class GroupEntitiesSparkJobTest {
|
|||
@BeforeEach
|
||||
public void beforeEach() throws IOException, URISyntaxException {
|
||||
dataInputPath = Paths.get(ClassLoader.getSystemResource("eu/dnetlib/dhp/oa/graph/group").toURI());
|
||||
groupEntityPath = workingDir.resolve("grouped_entity");
|
||||
dispatchEntityPath = workingDir.resolve("dispatched_entity");
|
||||
checkpointPath = workingDir.resolve("grouped_entity");
|
||||
outputPath = workingDir.resolve("dispatched_entity");
|
||||
}
|
||||
|
||||
@AfterAll
|
||||
|
|
@ -76,39 +74,30 @@ public class GroupEntitiesSparkJobTest {
|
|||
Boolean.FALSE.toString(),
|
||||
"-graphInputPath",
|
||||
dataInputPath.toString(),
|
||||
"-checkpointPath",
|
||||
checkpointPath.toString(),
|
||||
"-outputPath",
|
||||
groupEntityPath.toString()
|
||||
outputPath.toString(),
|
||||
"-filterInvisible",
|
||||
Boolean.FALSE.toString()
|
||||
});
|
||||
|
||||
Dataset<Result> output = spark
|
||||
Dataset<OafEntity> checkpointTable = spark
|
||||
.read()
|
||||
.textFile(groupEntityPath.toString())
|
||||
.map((MapFunction<String, String>) s -> StringUtils.substringAfter(s, "|"), Encoders.STRING())
|
||||
.map((MapFunction<String, Result>) s -> mapper.readValue(s, Result.class), Encoders.bean(Result.class));
|
||||
.load(checkpointPath.toString())
|
||||
.selectExpr("COALESCE(*)")
|
||||
.as(Encoders.kryo(OafEntity.class));
|
||||
|
||||
|
||||
assertEquals(
|
||||
1,
|
||||
output
|
||||
checkpointTable
|
||||
.filter(
|
||||
(FilterFunction<Result>) r -> "50|doi_________::09821844208a5cd6300b2bfb13bca1b9"
|
||||
(FilterFunction<OafEntity>) r -> "50|doi_________::09821844208a5cd6300b2bfb13bca1b9"
|
||||
.equals(r.getId()) &&
|
||||
r.getCollectedfrom().stream().anyMatch(kv -> kv.getValue().equalsIgnoreCase("zenodo")))
|
||||
.count());
|
||||
}
|
||||
|
||||
@Test
|
||||
@Order(2)
|
||||
void testDispatchEntities() throws Exception {
|
||||
DispatchEntitiesSparkJob.main(new String[] {
|
||||
"-isSparkSessionManaged",
|
||||
Boolean.FALSE.toString(),
|
||||
"-inputPath",
|
||||
groupEntityPath.toString(),
|
||||
"-outputPath",
|
||||
dispatchEntityPath.resolve(".").toString(),
|
||||
"-filterInvisible",
|
||||
Boolean.TRUE.toString()
|
||||
});
|
||||
|
||||
Dataset<Result> output = spark
|
||||
.read()
|
||||
|
|
@ -116,7 +105,7 @@ public class GroupEntitiesSparkJobTest {
|
|||
DHPUtils
|
||||
.toSeq(
|
||||
HdfsSupport
|
||||
.listFiles(dispatchEntityPath.toString(), spark.sparkContext().hadoopConfiguration())))
|
||||
.listFiles(outputPath.toString(), spark.sparkContext().hadoopConfiguration())))
|
||||
.map((MapFunction<String, Result>) s -> mapper.readValue(s, Result.class), Encoders.bean(Result.class));
|
||||
|
||||
assertEquals(3, output.count());
|
||||
|
|
|
|||
|
|
@ -49,7 +49,7 @@ public class DownloadCsvTest {
|
|||
@Test
|
||||
void getUnibiFileTest() throws CollectorException, IOException, ClassNotFoundException {
|
||||
|
||||
String fileURL = "https://pub.uni-bielefeld.de/download/2944717/2944718/issn_gold_oa_version_4.csv";
|
||||
String fileURL = "https://pub.uni-bielefeld.de/download/2944717/2944718/issn_gold_oa_version_5.csv";
|
||||
|
||||
final String outputFile = workingDir + "/unibi_gold.json";
|
||||
new DownloadCSV()
|
||||
|
|
|
|||
|
|
@ -1067,6 +1067,28 @@ class MappersTest {
|
|||
System.out.println("***************");
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testD4ScienceTraining() throws IOException {
|
||||
final String xml = IOUtils
|
||||
.toString(Objects.requireNonNull(getClass().getResourceAsStream("d4science-1-training.xml")));
|
||||
final List<Oaf> list = new OdfToOafMapper(vocs, false, true).processMdRecord(xml);
|
||||
final OtherResearchProduct trainingMaterial = (OtherResearchProduct) list.get(0);
|
||||
System.out.println("***************");
|
||||
System.out.println(new ObjectMapper().writeValueAsString(trainingMaterial));
|
||||
System.out.println("***************");
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testD4ScienceDataset() throws IOException {
|
||||
final String xml = IOUtils
|
||||
.toString(Objects.requireNonNull(getClass().getResourceAsStream("d4science-2-dataset.xml")));
|
||||
final List<Oaf> list = new OdfToOafMapper(vocs, false, true).processMdRecord(xml);
|
||||
final Dataset trainingMaterial = (Dataset) list.get(0);
|
||||
System.out.println("***************");
|
||||
System.out.println(new ObjectMapper().writeValueAsString(trainingMaterial));
|
||||
System.out.println("***************");
|
||||
}
|
||||
|
||||
@Test
|
||||
void testNotWellFormed() throws IOException {
|
||||
final String xml = IOUtils
|
||||
|
|
|
|||
|
|
@ -0,0 +1,93 @@
|
|||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<oai:record xmlns:dr="http://www.driver-repository.eu/namespace/dr"
|
||||
xmlns:dri="http://www.driver-repository.eu/namespace/dri"
|
||||
xmlns:oaf="http://namespace.openaire.eu/oaf" xmlns:oai="http://www.openarchives.org/OAI/2.0/">
|
||||
<oai:header>
|
||||
<dri:objIdentifier>alessia_____::104c2d4ba8878c16fa824dce5b1bea57</dri:objIdentifier>
|
||||
<dri:recordIdentifier>12d8f77e-d66f-46f5-8d88-af7db23bc4c9</dri:recordIdentifier>
|
||||
<dri:dateOfCollection>2023-09-08T10:12:35.864+02:00</dri:dateOfCollection>
|
||||
<oaf:datasourceprefix>alessia_____</oaf:datasourceprefix>
|
||||
<dr:dateOfTransformation>2023-09-08T11:31:45.692+02:00</dr:dateOfTransformation>
|
||||
</oai:header>
|
||||
<oai:metadata>
|
||||
<datacite:resource
|
||||
xmlns:datacite="http://datacite.org/schema/kernel-4"
|
||||
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4/metadata.xsd">
|
||||
<datacite:identifier identifierType="URL">http://data.d4science.org/ctlg/ResourceCatalogue/visual_analytics_for_data_scientists</datacite:identifier>
|
||||
<datacite:alternateIdentifiers/>
|
||||
<datacite:creators>
|
||||
<datacite:creator>
|
||||
<datacite:creatorName>BRAGHIERI MARCO</datacite:creatorName>
|
||||
</datacite:creator>
|
||||
</datacite:creators>
|
||||
<datacite:titles>
|
||||
<datacite:title>Visual Analytics for Data Scientists</datacite:title>
|
||||
</datacite:titles>
|
||||
<datacite:publisher>SoBigData++</datacite:publisher>
|
||||
<datacite:publicationYear/>
|
||||
<datacite:dates>
|
||||
<datacite:date dateType="Issued"/>
|
||||
</datacite:dates>
|
||||
<datacite:resourceType resourceTypeGeneral="TrainingMaterial">TrainingMaterial</datacite:resourceType>
|
||||
<datacite:descriptions>
|
||||
<datacite:description descriptionType="Abstract">Participants to this module shall
|
||||
- Learn the principles and rules underlying the design of visual data
|
||||
representations and human-computer interactions
|
||||
- Understand, adapt and apply representative visual analytics methods and systems for diverse types
|
||||
of data and problems
|
||||
- Analyse and evaluate the structure and properties
|
||||
of data to select or devise appropriate methods for data exploration
|
||||
- Combine visualization, interactive techniques, and computational
|
||||
processing to develop practical data analysis for problem solving
|
||||
|
||||
(This teaching material on Visual Analytics for Data Scientists is part of a MSc module at City University London).
|
||||
|
||||
The author did not intend to violate any copyright on figures or content. In case you are the legal owner of any copyrighted content, please contact info@sobigdata.eu and we will immediately remove it</datacite:description>
|
||||
</datacite:descriptions>
|
||||
<datacite:subjects>
|
||||
<datacite:subject>Visual analytics</datacite:subject>
|
||||
</datacite:subjects>
|
||||
<datacite:formats>
|
||||
<datacite:format>Slides</datacite:format>
|
||||
<datacite:format>Other</datacite:format>
|
||||
<datacite:format>PDF</datacite:format>
|
||||
<datacite:format>PDF</datacite:format>
|
||||
<datacite:format>PDF</datacite:format>
|
||||
<datacite:format>PDF</datacite:format>
|
||||
<datacite:format>PDF</datacite:format>
|
||||
<datacite:format>PDF</datacite:format>
|
||||
<datacite:format>PDF</datacite:format>
|
||||
<datacite:format>PDF</datacite:format>
|
||||
<datacite:format>PDF</datacite:format>
|
||||
<datacite:format>PDF</datacite:format>
|
||||
<datacite:format>ZIP</datacite:format>
|
||||
</datacite:formats>
|
||||
</datacite:resource>
|
||||
<oaf:accessrights>OPEN</oaf:accessrights>
|
||||
<dr:CobjCategory type="other">0010</dr:CobjCategory>
|
||||
<oaf:dateAccepted/>
|
||||
<oaf:hostedBy id="alessia_____::alessia" name="Alessia"/>
|
||||
<oaf:collectedFrom id="alessia_____::alessia" name="Alessia"/>
|
||||
<oaf:license>other-open</oaf:license>
|
||||
<oaf:projectid>corda__h2020::871042</oaf:projectid>
|
||||
</oai:metadata>
|
||||
<about xmlns:dc="http://purl.org/dc/elements/1.1/"
|
||||
xmlns:prov="http://www.openarchives.org/OAI/2.0/provenance" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
|
||||
<provenance xmlns="http://www.openarchives.org/OAI/2.0/provenance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/provenance http://www.openarchives.org/OAI/2.0/provenance.xsd">
|
||||
<originDescription altered="true" harvestDate="2023-09-08T10:12:35.864+02:00">
|
||||
<baseURL>https%3A%2F%2Fapi.d4science.org%2Fcatalogue%2Fitems</baseURL>
|
||||
<identifier/>
|
||||
<datestamp/>
|
||||
<metadataNamespace/>
|
||||
</originDescription>
|
||||
</provenance>
|
||||
<oaf:datainfo>
|
||||
<oaf:inferred>false</oaf:inferred>
|
||||
<oaf:deletedbyinference>false</oaf:deletedbyinference>
|
||||
<oaf:trust>0.9</oaf:trust>
|
||||
<oaf:inferenceprovenance/>
|
||||
<oaf:provenanceaction classid="sysimport:crosswalk"
|
||||
classname="Harvested" schemeid="dnet:provenanceActions" schemename="dnet:provenanceActions"/>
|
||||
</oaf:datainfo>
|
||||
</about>
|
||||
</oai:record>
|
||||
|
|
@ -0,0 +1,72 @@
|
|||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<oai:record xmlns:dr="http://www.driver-repository.eu/namespace/dr"
|
||||
xmlns:dri="http://www.driver-repository.eu/namespace/dri"
|
||||
xmlns:oaf="http://namespace.openaire.eu/oaf" xmlns:oai="http://www.openarchives.org/OAI/2.0/">
|
||||
<oai:header>
|
||||
<dri:objIdentifier>alessia_____::028879484548f4e1c630e1c503e35231</dri:objIdentifier>
|
||||
<dri:recordIdentifier>4fed018e-c2ff-4afa-b7b5-1ca1beebf850</dri:recordIdentifier>
|
||||
<dri:dateOfCollection>2023-09-08T12:14:27.615+02:00</dri:dateOfCollection>
|
||||
<oaf:datasourceprefix>alessia_____</oaf:datasourceprefix>
|
||||
<dr:dateOfTransformation>2023-09-08T12:14:51.7+02:00</dr:dateOfTransformation>
|
||||
</oai:header>
|
||||
<oai:metadata>
|
||||
<datacite:resource
|
||||
xmlns:datacite="http://datacite.org/schema/kernel-4"
|
||||
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4/metadata.xsd">
|
||||
<datacite:identifier identifierType="URL">http://data.d4science.org/ctlg/ResourceCatalogue/city-to-city_migration</datacite:identifier>
|
||||
<datacite:alternateIdentifiers>
|
||||
<datacite:alternateIdentifier type="URL"/>
|
||||
</datacite:alternateIdentifiers>
|
||||
<datacite:creators>
|
||||
<datacite:creator>
|
||||
<datacite:creatorName>Pappalardo, Luca</datacite:creatorName>
|
||||
<datacite:affiliation/>
|
||||
<datacite:nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org">0000-0002-1547-6007</datacite:nameIdentifier>
|
||||
</datacite:creator>
|
||||
</datacite:creators>
|
||||
<datacite:titles>
|
||||
<datacite:title>City-to-city migration</datacite:title>
|
||||
</datacite:titles>
|
||||
<datacite:publisher>SoBigData++</datacite:publisher>
|
||||
<datacite:publicationYear/>
|
||||
<datacite:dates>
|
||||
<datacite:date dateType="Issued">2018-02-15</datacite:date>
|
||||
</datacite:dates>
|
||||
<datacite:resourceType resourceTypeGeneral="Dataset">Dataset</datacite:resourceType>
|
||||
<datacite:descriptions>
|
||||
<datacite:description descriptionType="Abstract">Census data recording the migration of people between metropolitan areas in
|
||||
the US</datacite:description>
|
||||
</datacite:descriptions>
|
||||
<datacite:subjects>
|
||||
<datacite:subject>Human Mobility data</datacite:subject>
|
||||
</datacite:subjects>
|
||||
<datacite:formats/>
|
||||
</datacite:resource>
|
||||
<oaf:accessrights>OPEN</oaf:accessrights>
|
||||
<dr:CobjCategory type="dataset">0021</dr:CobjCategory>
|
||||
<oaf:dateAccepted>2018-02-15</oaf:dateAccepted>
|
||||
<oaf:hostedBy id="alessia_____::alessia" name="Alessia"/>
|
||||
<oaf:collectedFrom id="alessia_____::alessia" name="Alessia"/>
|
||||
<oaf:license>AFL-3.0</oaf:license>
|
||||
<oaf:projectid>corda__h2020::871042</oaf:projectid>
|
||||
</oai:metadata>
|
||||
<about xmlns:dc="http://purl.org/dc/elements/1.1/"
|
||||
xmlns:prov="http://www.openarchives.org/OAI/2.0/provenance" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
|
||||
<provenance xmlns="http://www.openarchives.org/OAI/2.0/provenance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/provenance http://www.openarchives.org/OAI/2.0/provenance.xsd">
|
||||
<originDescription altered="true" harvestDate="2023-09-08T12:14:27.615+02:00">
|
||||
<baseURL>https%3A%2F%2Fapi.d4science.org%2Fcatalogue%2Fitems</baseURL>
|
||||
<identifier/>
|
||||
<datestamp/>
|
||||
<metadataNamespace/>
|
||||
</originDescription>
|
||||
</provenance>
|
||||
<oaf:datainfo>
|
||||
<oaf:inferred>false</oaf:inferred>
|
||||
<oaf:deletedbyinference>false</oaf:deletedbyinference>
|
||||
<oaf:trust>0.9</oaf:trust>
|
||||
<oaf:inferenceprovenance/>
|
||||
<oaf:provenanceaction classid="sysimport:crosswalk"
|
||||
classname="Harvested" schemeid="dnet:provenanceActions" schemename="dnet:provenanceActions"/>
|
||||
</oaf:datainfo>
|
||||
</about>
|
||||
</oai:record>
|
||||
|
|
@ -24,10 +24,7 @@ import eu.dnetlib.dhp.oa.provision.model.RelatedEntity;
|
|||
import eu.dnetlib.dhp.oa.provision.model.RelatedEntityWrapper;
|
||||
import eu.dnetlib.dhp.oa.provision.utils.ContextMapper;
|
||||
import eu.dnetlib.dhp.oa.provision.utils.XmlRecordFactory;
|
||||
import eu.dnetlib.dhp.schema.oaf.Datasource;
|
||||
import eu.dnetlib.dhp.schema.oaf.Project;
|
||||
import eu.dnetlib.dhp.schema.oaf.Publication;
|
||||
import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||
import eu.dnetlib.dhp.schema.oaf.*;
|
||||
|
||||
public class XmlRecordFactoryTest {
|
||||
|
||||
|
|
@ -196,4 +193,51 @@ public class XmlRecordFactoryTest {
|
|||
assertEquals("dnet:pid_types", ((Element) pids.get(0)).attribute("schemeid").getValue());
|
||||
assertEquals("dnet:pid_types", ((Element) pids.get(0)).attribute("schemename").getValue());
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testD4ScienceTraining() throws DocumentException, IOException {
|
||||
final ContextMapper contextMapper = new ContextMapper();
|
||||
|
||||
final XmlRecordFactory xmlRecordFactory = new XmlRecordFactory(contextMapper, false,
|
||||
XmlConverterJob.schemaLocation);
|
||||
|
||||
final OtherResearchProduct p = OBJECT_MAPPER
|
||||
.readValue(
|
||||
IOUtils.toString(getClass().getResourceAsStream("d4science-1-training.json")),
|
||||
OtherResearchProduct.class);
|
||||
|
||||
final String xml = xmlRecordFactory.build(new JoinedEntity<>(p));
|
||||
|
||||
assertNotNull(xml);
|
||||
|
||||
final Document doc = new SAXReader().read(new StringReader(xml));
|
||||
|
||||
assertNotNull(doc);
|
||||
System.out.println(doc.asXML());
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testD4ScienceDataset() throws DocumentException, IOException {
|
||||
final ContextMapper contextMapper = new ContextMapper();
|
||||
|
||||
final XmlRecordFactory xmlRecordFactory = new XmlRecordFactory(contextMapper, false,
|
||||
XmlConverterJob.schemaLocation);
|
||||
|
||||
final OtherResearchProduct p = OBJECT_MAPPER
|
||||
.readValue(
|
||||
IOUtils.toString(getClass().getResourceAsStream("d4science-2-dataset.json")),
|
||||
OtherResearchProduct.class);
|
||||
|
||||
final String xml = xmlRecordFactory.build(new JoinedEntity<>(p));
|
||||
|
||||
assertNotNull(xml);
|
||||
|
||||
final Document doc = new SAXReader().read(new StringReader(xml));
|
||||
|
||||
assertNotNull(doc);
|
||||
System.out.println(doc.asXML());
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
|
|
@ -39,7 +39,8 @@
|
|||
<switch>
|
||||
<!-- The default will be set as the normal start, a.k.a. get-doi-synonyms -->
|
||||
<!-- If any different condition is set, go to the corresponding start -->
|
||||
<case to="non-iterative-rankings">${wf:conf('resume') eq "rankings-start"}</case>
|
||||
<case to="spark-cc">${wf:conf('resume') eq "cc"}</case>
|
||||
<case to="spark-ram">${wf:conf('resume') eq "ram"}</case>
|
||||
<case to="spark-impulse">${wf:conf('resume') eq "impulse"}</case>
|
||||
<case to="spark-pagerank">${wf:conf('resume') eq "pagerank"}</case>
|
||||
<case to="spark-attrank">${wf:conf('resume') eq "attrank"}</case>
|
||||
|
|
@ -89,18 +90,11 @@
|
|||
<file>${nameNode}${wfAppPath}/create_openaire_ranking_graph.py#create_openaire_ranking_graph.py</file>
|
||||
</spark>
|
||||
|
||||
<ok to="non-iterative-rankings" />
|
||||
<ok to="spark-cc"/>
|
||||
<error to="openaire-graph-error" />
|
||||
|
||||
</action>
|
||||
|
||||
<!-- Citation Count and RAM are calculated in parallel-->
|
||||
<fork name="non-iterative-rankings">
|
||||
<path start="spark-cc"/>
|
||||
<!-- <path start="spark-impulse"/> -->
|
||||
<path start="spark-ram"/>
|
||||
</fork>
|
||||
|
||||
<!-- Run Citation Count calculation -->
|
||||
<action name="spark-cc">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
|
|
@ -129,7 +123,7 @@
|
|||
<file>${wfAppPath}/bip-ranker/CC.py#CC.py</file>
|
||||
</spark>
|
||||
|
||||
<ok to="join-non-iterative-rankings" />
|
||||
<ok to="spark-ram" />
|
||||
<error to="cc-fail" />
|
||||
|
||||
</action>
|
||||
|
|
@ -165,14 +159,11 @@
|
|||
<file>${wfAppPath}/bip-ranker/TAR.py#TAR.py</file>
|
||||
</spark>
|
||||
|
||||
<ok to="join-non-iterative-rankings" />
|
||||
<ok to="spark-impulse" />
|
||||
<error to="ram-fail" />
|
||||
|
||||
</action>
|
||||
|
||||
<!-- Join non-iterative methods -->
|
||||
<join name="join-non-iterative-rankings" to="spark-impulse"/>
|
||||
|
||||
<action name="spark-impulse">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
|
||||
|
|
|
|||
10
pom.xml
10
pom.xml
|
|
@ -112,6 +112,16 @@
|
|||
<url>https://maven.d4science.org/nexus/content/repositories/dnet-deps</url>
|
||||
<layout>default</layout>
|
||||
</repository>
|
||||
<repository>
|
||||
<id>maven-restlet</id>
|
||||
<name>Restlet repository</name>
|
||||
<url>https://maven.restlet.talend.com</url>
|
||||
</repository>
|
||||
<repository>
|
||||
<id>conjars</id>
|
||||
<name>conjars</name>
|
||||
<url>https://conjars.wensel.net/repo/</url>
|
||||
</repository>
|
||||
</repositories>
|
||||
|
||||
<dependencies>
|
||||
|
|
|
|||
Loading…
Reference in New Issue