PR: Bypass Action Set #157
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package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
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import java.util.Optional;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.sql.Dataset;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.SparkSession;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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public class Constants {
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public static final String DOI = "doi";
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public static final String UPDATE_DATA_INFO_TYPE = "update";
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public static final String UPDATE_SUBJECT_FOS_CLASS_ID = "subject:fos";
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public static final String UPDATE_CLASS_NAME = "Inferred by OpenAIRE";
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public static final String UPDATE_MEASURE_BIP_CLASS_ID = "measure:bip";
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public static final String FOS_CLASS_ID = "FOS";
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public static final String FOS_CLASS_NAME = "Fields of Science and Technology classification";
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public static final String NULL = "NULL";
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public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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private Constants(){}
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public static Boolean isSparkSessionManaged(ArgumentApplicationParser parser) {
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return 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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}
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public static <R> Dataset<R> readPath(
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SparkSession spark, String inputPath, Class<R> clazz) {
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return spark
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.read()
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.textFile(inputPath)
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.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
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}
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}
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claudio.atzori marked this conversation as resolved
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@ -0,0 +1,77 @@
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package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
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import java.io.IOException;
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import java.io.InputStreamReader;
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import java.io.Serializable;
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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.hadoop.conf.Configuration;
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import org.apache.hadoop.fs.FileSystem;
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import org.apache.hadoop.fs.Path;
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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.collection.GetCSV;
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public class GetFOSData implements Serializable {
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private static final Logger log = LoggerFactory.getLogger(GetFOSData.class);
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public static final char DEFAULT_DELIMITER = '\t';
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public static void main(final String[] args) throws Exception {
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(
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IOUtils
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.toString(
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Objects
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.requireNonNull(
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GetFOSData.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/actionmanager/createunresolvedentities/get_fos_parameters.json"))));
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parser.parseArgument(args);
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// the path where the original fos csv file is stored
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final String sourcePath = parser.get("sourcePath");
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log.info("sourcePath {}", sourcePath);
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// the path where to put the file as json
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final String outputPath = parser.get("outputPath");
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log.info("outputPath {}", outputPath);
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final String hdfsNameNode = parser.get("hdfsNameNode");
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log.info("hdfsNameNode {}", hdfsNameNode);
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final String classForName = parser.get("classForName");
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log.info("classForName {}", classForName);
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final char delimiter = Optional
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.ofNullable(parser.get("delimiter"))
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.map(s -> s.charAt(0))
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.orElse(DEFAULT_DELIMITER);
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log.info("delimiter {}", delimiter);
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Configuration conf = new Configuration();
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conf.set("fs.defaultFS", hdfsNameNode);
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FileSystem fileSystem = FileSystem.get(conf);
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new GetFOSData().doRewrite(sourcePath, outputPath, classForName, delimiter, fileSystem);
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}
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public void doRewrite(String inputPath, String outputFile, String classForName, char delimiter, FileSystem fs)
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throws IOException, ClassNotFoundException {
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// reads the csv and writes it as its json equivalent
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try (InputStreamReader reader = new InputStreamReader(fs.open(new Path(inputPath)))) {
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GetCSV.getCsv(fs, reader, outputFile, classForName, delimiter);
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}
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}
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}
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@ -0,0 +1,145 @@
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package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
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import static eu.dnetlib.dhp.actionmanager.createunresolvedentities.Constants.*;
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import static eu.dnetlib.dhp.actionmanager.createunresolvedentities.Constants.UPDATE_CLASS_NAME;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.io.Serializable;
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import java.util.List;
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import java.util.Optional;
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import java.util.stream.Collectors;
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import eu.dnetlib.dhp.utils.DHPUtils;
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import org.apache.commons.io.IOUtils;
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import org.apache.hadoop.hdfs.client.HdfsUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.JavaRDD;
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import org.apache.spark.api.java.JavaSparkContext;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.SaveMode;
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import org.apache.spark.sql.SparkSession;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.BipDeserialize;
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import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.BipScore;
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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.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.KeyValue;
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import eu.dnetlib.dhp.schema.oaf.Measure;
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import eu.dnetlib.dhp.schema.oaf.Result;
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import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
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public class PrepareBipFinder implements Serializable {
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private static final Logger log = LoggerFactory.getLogger(PrepareBipFinder.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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public static <I extends Result> void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils
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.toString(
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PrepareBipFinder.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/actionmanager/createunresolvedentities/prepare_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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final String sourcePath = parser.get("sourcePath");
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log.info("sourcePath {}: ", sourcePath);
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final String outputPath = parser.get("outputPath");
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log.info("outputPath {}: ", outputPath);
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SparkConf conf = new SparkConf();
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runWithSparkSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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HdfsSupport.remove(outputPath, spark.sparkContext().hadoopConfiguration());
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prepareResults(spark, sourcePath, outputPath);
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});
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}
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private static <I extends Result> void prepareResults(SparkSession spark, String inputPath, String outputPath) {
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final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
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JavaRDD<BipDeserialize> bipDeserializeJavaRDD = sc
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.textFile(inputPath)
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.map(item -> OBJECT_MAPPER.readValue(item, BipDeserialize.class));
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spark
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.createDataset(bipDeserializeJavaRDD.flatMap(entry -> entry.keySet().stream().map(key -> {
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BipScore bs = new BipScore();
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bs.setId(key);
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bs.setScoreList(entry.get(key));
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return bs;
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}).collect(Collectors.toList()).iterator()).rdd(), Encoders.bean(BipScore.class))
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.map((MapFunction<BipScore, Result>) v -> {
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Result r = new Result();
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r.setId(DHPUtils.generateUnresolvedIdentifier(v.getId(), DOI));
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r.setMeasures(getMeasure(v));
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return r;
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}, Encoders.bean(Result.class))
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.write()
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.mode(SaveMode.Overwrite)
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.option("compression", "gzip")
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.json(outputPath + "/bip");
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}
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private static List<Measure> getMeasure(BipScore value) {
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return value
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.getScoreList()
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.stream()
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.map(score -> {
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Measure m = new Measure();
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m.setId(score.getId());
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m
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.setUnit(
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score
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.getUnit()
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.stream()
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.map(unit -> {
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KeyValue kv = new KeyValue();
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kv.setValue(unit.getValue());
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kv.setKey(unit.getKey());
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kv
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.setDataInfo(
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OafMapperUtils
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.dataInfo(
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false,
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UPDATE_DATA_INFO_TYPE,
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true,
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false,
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OafMapperUtils
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.qualifier(
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UPDATE_MEASURE_BIP_CLASS_ID,
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UPDATE_CLASS_NAME,
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ModelConstants.DNET_PROVENANCE_ACTIONS,
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ModelConstants.DNET_PROVENANCE_ACTIONS),
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""));
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return kv;
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})
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.collect(Collectors.toList()));
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return m;
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})
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.collect(Collectors.toList());
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}
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}
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|
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@ -0,0 +1,133 @@
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package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
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import static eu.dnetlib.dhp.actionmanager.createunresolvedentities.Constants.*;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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|
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import java.io.Serializable;
|
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import java.util.*;
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import java.util.stream.Collectors;
|
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|
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import eu.dnetlib.dhp.utils.DHPUtils;
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import org.apache.commons.io.IOUtils;
|
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.function.FlatMapFunction;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.sql.Dataset;
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import org.apache.spark.sql.Encoders;
|
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import org.apache.spark.sql.SaveMode;
|
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import org.apache.spark.sql.SparkSession;
|
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import org.slf4j.Logger;
|
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import org.slf4j.LoggerFactory;
|
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|
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import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.FOSDataModel;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.Result;
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import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
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import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
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public class PrepareFOSSparkJob implements Serializable {
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private static final Logger log = LoggerFactory.getLogger(PrepareFOSSparkJob.class);
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public static void main(String[] args) throws Exception {
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|
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String jsonConfiguration = IOUtils
|
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.toString(
|
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PrepareFOSSparkJob.class
|
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.getResourceAsStream(
|
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"/eu/dnetlib/dhp/actionmanager/createunresolvedentities/prepare_parameters.json"));
|
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|
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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|
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parser.parseArgument(args);
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|
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Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
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|
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String sourcePath = parser.get("sourcePath");
|
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log.info("sourcePath: {}", sourcePath);
|
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|
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final String outputPath = parser.get("outputPath");
|
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log.info("outputPath: {}", outputPath);
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|
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SparkConf conf = new SparkConf();
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runWithSparkSession(
|
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conf,
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isSparkSessionManaged,
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spark -> {
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distributeFOSdois(
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spark,
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sourcePath,
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|
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outputPath);
|
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});
|
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}
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private static void distributeFOSdois(SparkSession spark, String sourcePath, String outputPath) {
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Dataset<FOSDataModel> fosDataset = readPath(spark, sourcePath, FOSDataModel.class);
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|
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fosDataset.flatMap((FlatMapFunction<FOSDataModel, FOSDataModel>) v -> {
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List<FOSDataModel> fosList = new ArrayList<>();
|
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final String level1 = v.getLevel1();
|
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final String level2 = v.getLevel2();
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final String level3 = v.getLevel3();
|
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Arrays
|
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.stream(v.getDoi().split("\u0002"))
|
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.forEach(d -> fosList.add(FOSDataModel.newInstance(d, level1, level2, level3)));
|
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return fosList.iterator();
|
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}, Encoders.bean(FOSDataModel.class))
|
||||
.map((MapFunction<FOSDataModel, Result>) value -> {
|
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Result r = new Result();
|
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r.setId(DHPUtils.generateUnresolvedIdentifier(value.getDoi(), DOI));
|
||||
r.setSubject(getSubjects(value));
|
||||
return r;
|
||||
}, Encoders.bean(Result.class))
|
||||
.write()
|
||||
.mode(SaveMode.Overwrite)
|
||||
.option("compression", "gzip")
|
||||
.json(outputPath + "/fos");
|
||||
}
|
||||
|
||||
private static List<StructuredProperty> getSubjects(FOSDataModel fos) {
|
||||
return Arrays
|
||||
.asList(getSubject(fos.getLevel1()), getSubject(fos.getLevel2()), getSubject(fos.getLevel3()))
|
||||
.stream()
|
||||
.filter(Objects::nonNull)
|
||||
.collect(Collectors.toList());
|
||||
}
|
||||
|
||||
private static StructuredProperty getSubject(String sbj) {
|
||||
if (sbj.equals(NULL))
|
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return null;
|
||||
StructuredProperty sp = new StructuredProperty();
|
||||
sp.setValue(sbj);
|
||||
sp
|
||||
.setQualifier(
|
||||
OafMapperUtils
|
||||
.qualifier(
|
||||
FOS_CLASS_ID,
|
||||
FOS_CLASS_NAME,
|
||||
ModelConstants.DNET_SUBJECT_TYPOLOGIES,
|
||||
ModelConstants.DNET_SUBJECT_TYPOLOGIES));
|
||||
sp
|
||||
.setDataInfo(
|
||||
OafMapperUtils
|
||||
.dataInfo(
|
||||
false,
|
||||
UPDATE_DATA_INFO_TYPE,
|
||||
true,
|
||||
false,
|
||||
OafMapperUtils
|
||||
.qualifier(
|
||||
UPDATE_SUBJECT_FOS_CLASS_ID,
|
||||
UPDATE_CLASS_NAME,
|
||||
ModelConstants.DNET_PROVENANCE_ACTIONS,
|
||||
ModelConstants.DNET_PROVENANCE_ACTIONS),
|
||||
""));
|
||||
|
||||
return sp;
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,79 @@
|
|||
|
||||
package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
|
||||
|
||||
import static eu.dnetlib.dhp.actionmanager.createunresolvedentities.Constants.*;
|
||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
|
||||
|
||||
import java.io.Serializable;
|
||||
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.apache.spark.SparkConf;
|
||||
import org.apache.spark.api.java.function.MapFunction;
|
||||
import org.apache.spark.api.java.function.MapGroupsFunction;
|
||||
import org.apache.spark.sql.Encoders;
|
||||
import org.apache.spark.sql.SaveMode;
|
||||
import org.apache.spark.sql.SparkSession;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||
import eu.dnetlib.dhp.schema.oaf.Result;
|
||||
|
||||
public class SparkSaveUnresolved implements Serializable {
|
||||
private static final Logger log = LoggerFactory.getLogger(PrepareFOSSparkJob.class);
|
||||
|
||||
public static void main(String[] args) throws Exception {
|
||||
|
||||
String jsonConfiguration = IOUtils
|
||||
.toString(
|
||||
PrepareFOSSparkJob.class
|
||||
.getResourceAsStream(
|
||||
"/eu/dnetlib/dhp/actionmanager/createunresolvedentities/produce_unresolved_parameters.json"));
|
||||
|
||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
||||
|
||||
parser.parseArgument(args);
|
||||
|
||||
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
||||
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
||||
|
||||
String sourcePath = parser.get("sourcePath");
|
||||
log.info("sourcePath: {}", sourcePath);
|
||||
|
||||
final String outputPath = parser.get("outputPath");
|
||||
log.info("outputPath: {}", outputPath);
|
||||
|
||||
SparkConf conf = new SparkConf();
|
||||
runWithSparkSession(
|
||||
conf,
|
||||
isSparkSessionManaged,
|
||||
spark -> {
|
||||
saveUnresolved(
|
||||
spark,
|
||||
sourcePath,
|
||||
|
||||
outputPath);
|
||||
});
|
||||
}
|
||||
|
||||
private static void saveUnresolved(SparkSession spark, String sourcePath, String outputPath) {
|
||||
|
||||
spark
|
||||
.read()
|
||||
.textFile(sourcePath + "/*")
|
||||
.map(
|
||||
(MapFunction<String, Result>) l -> OBJECT_MAPPER.readValue(l, Result.class),
|
||||
Encoders.bean(Result.class))
|
||||
.groupByKey((MapFunction<Result, String>) r -> r.getId(), Encoders.STRING())
|
||||
.mapGroups((MapGroupsFunction<String, Result, Result>) (k, it) -> {
|
||||
Result ret = it.next();
|
||||
it.forEachRemaining(r -> ret.mergeFrom(r));
|
||||
return ret;
|
||||
}, Encoders.bean(Result.class))
|
||||
.write()
|
||||
.mode(SaveMode.Overwrite)
|
||||
.option("compression", "gzip")
|
||||
.json(outputPath);
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,28 @@
|
|||
|
||||
package eu.dnetlib.dhp.actionmanager.createunresolvedentities.model;
|
||||
|
||||
import java.io.Serializable;
|
||||
import java.util.ArrayList;
|
||||
import java.util.HashMap;
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* Class that maps the model of the bipFinder! input data.
|
||||
* Only needed for deserialization purposes
|
||||
*/
|
||||
|
||||
public class BipDeserialize extends HashMap<String, List<Score>> implements Serializable {
|
||||
|
||||
public BipDeserialize() {
|
||||
super();
|
||||
}
|
||||
|
||||
public List<Score> get(String key) {
|
||||
|
||||
if (super.get(key) == null) {
|
||||
return new ArrayList<>();
|
||||
}
|
||||
return super.get(key);
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,30 @@
|
|||
|
||||
package eu.dnetlib.dhp.actionmanager.createunresolvedentities.model;
|
||||
|
||||
import java.io.Serializable;
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* Rewriting of the bipFinder input data by extracting the identifier of the result (doi)
|
||||
*/
|
||||
|
||||
public class BipScore implements Serializable {
|
||||
private String id; // doi
|
||||
private List<Score> scoreList; // unit as given in the inputfile
|
||||
|
||||
public String getId() {
|
||||
return id;
|
||||
}
|
||||
|
||||
public void setId(String id) {
|
||||
this.id = id;
|
||||
}
|
||||
|
||||
public List<Score> getScoreList() {
|
||||
return scoreList;
|
||||
}
|
||||
|
||||
public void setScoreList(List<Score> scoreList) {
|
||||
this.scoreList = scoreList;
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,71 @@
|
|||
|
||||
package eu.dnetlib.dhp.actionmanager.createunresolvedentities.model;
|
||||
|
||||
import java.io.Serializable;
|
||||
|
||||
import com.opencsv.bean.CsvBindByPosition;
|
||||
|
||||
public class FOSDataModel implements Serializable {
|
||||
@CsvBindByPosition(position = 1)
|
||||
// @CsvBindByName(column = "doi")
|
||||
private String doi;
|
||||
|
||||
@CsvBindByPosition(position = 2)
|
||||
// @CsvBindByName(column = "level1")
|
||||
private String level1;
|
||||
|
||||
@CsvBindByPosition(position = 3)
|
||||
// @CsvBindByName(column = "level2")
|
||||
private String level2;
|
||||
|
||||
@CsvBindByPosition(position = 4)
|
||||
// @CsvBindByName(column = "level3")
|
||||
private String level3;
|
||||
|
||||
public FOSDataModel() {
|
||||
|
||||
}
|
||||
|
||||
public FOSDataModel(String doi, String level1, String level2, String level3) {
|
||||
this.doi = doi;
|
||||
this.level1 = level1;
|
||||
this.level2 = level2;
|
||||
this.level3 = level3;
|
||||
}
|
||||
|
||||
public static FOSDataModel newInstance(String d, String level1, String level2, String level3) {
|
||||
return new FOSDataModel(d, level1, level2, level3);
|
||||
}
|
||||
|
||||
public String getDoi() {
|
||||
return doi;
|
||||
}
|
||||
|
||||
public void setDoi(String doi) {
|
||||
this.doi = doi;
|
||||
}
|
||||
|
||||
public String getLevel1() {
|
||||
return level1;
|
||||
}
|
||||
|
||||
public void setLevel1(String level1) {
|
||||
this.level1 = level1;
|
||||
}
|
||||
|
||||
public String getLevel2() {
|
||||
return level2;
|
||||
}
|
||||
|
||||
public void setLevel2(String level2) {
|
||||
this.level2 = level2;
|
||||
}
|
||||
|
||||
public String getLevel3() {
|
||||
return level3;
|
||||
}
|
||||
|
||||
public void setLevel3(String level3) {
|
||||
this.level3 = level3;
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,26 @@
|
|||
|
||||
package eu.dnetlib.dhp.actionmanager.createunresolvedentities.model;
|
||||
|
||||
import java.io.Serializable;
|
||||
|
||||
public class KeyValue implements Serializable {
|
||||
|
||||
private String key;
|
||||
private String value;
|
||||
|
||||
public String getKey() {
|
||||
return key;
|
||||
}
|
||||
|
||||
public void setKey(String key) {
|
||||
this.key = key;
|
||||
}
|
||||
|
||||
public String getValue() {
|
||||
return value;
|
||||
}
|
||||
|
||||
public void setValue(String value) {
|
||||
this.value = value;
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,30 @@
|
|||
|
||||
package eu.dnetlib.dhp.actionmanager.createunresolvedentities.model;
|
||||
|
||||
import java.io.Serializable;
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* represents the score in the input file
|
||||
*/
|
||||
public class Score implements Serializable {
|
||||
|
||||
private String id;
|
||||
private List<KeyValue> unit;
|
||||
|
||||
public String getId() {
|
||||
return id;
|
||||
}
|
||||
|
||||
public void setId(String id) {
|
||||
this.id = id;
|
||||
}
|
||||
|
||||
public List<KeyValue> getUnit() {
|
||||
return unit;
|
||||
}
|
||||
|
||||
public void setUnit(List<KeyValue> unit) {
|
||||
this.unit = unit;
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,33 @@
|
|||
[
|
||||
{
|
||||
"paramName":"s",
|
||||
"paramLongName":"sourcePath",
|
||||
"paramDescription": "the path of the sequencial file to read",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName":"out",
|
||||
"paramLongName":"outputPath",
|
||||
"paramDescription": "the output path",
|
||||
"paramRequired": true
|
||||
},
|
||||
|
||||
{
|
||||
"paramName": "ssm",
|
||||
"paramLongName": "isSparkSessionManaged",
|
||||
"paramDescription": "true if the spark session is managed, false otherwise",
|
||||
"paramRequired": false
|
||||
},
|
||||
{
|
||||
"paramName": "hnn",
|
||||
"paramLongName": "hdfsNameNode",
|
||||
"paramDescription": "the path used to store the HostedByMap",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "cfn",
|
||||
"paramLongName": "classForName",
|
||||
"paramDescription": "the path used to store the HostedByMap",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
||||
|
|
@ -0,0 +1,30 @@
|
|||
<configuration>
|
||||
<property>
|
||||
<name>jobTracker</name>
|
||||
<value>yarnRM</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>nameNode</name>
|
||||
<value>hdfs://nameservice1</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.use.system.libpath</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>hiveMetastoreUris</name>
|
||||
<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>hiveJdbcUrl</name>
|
||||
<value>jdbc:hive2://iis-cdh5-test-m3.ocean.icm.edu.pl:10000</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>hiveDbName</name>
|
||||
<value>openaire</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.launcher.mapreduce.user.classpath.first</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
</configuration>
|
||||
|
|
@ -0,0 +1,174 @@
|
|||
|
||||
<workflow-app name="UnresolvedEntities" xmlns="uri:oozie:workflow:0.5">
|
||||
<parameters>
|
||||
<property>
|
||||
<name>fosPath</name>
|
||||
<description>the input path of the resources to be extended</description>
|
||||
</property>
|
||||
|
||||
<property>
|
||||
<name>bipScorePath</name>
|
||||
<description>the path where to find the bipFinder scores</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>outputPath</name>
|
||||
<description>the path where to store the actionset</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>sparkDriverMemory</name>
|
||||
<description>memory for driver process</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>sparkExecutorMemory</name>
|
||||
<description>memory for individual executor</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>sparkExecutorCores</name>
|
||||
<description>number of cores used by single executor</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozieActionShareLibForSpark2</name>
|
||||
<description>oozie action sharelib for spark 2.*</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark2ExtraListeners</name>
|
||||
<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
|
||||
<description>spark 2.* extra listeners classname</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark2SqlQueryExecutionListeners</name>
|
||||
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
|
||||
<description>spark 2.* sql query execution listeners classname</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark2YarnHistoryServerAddress</name>
|
||||
<description>spark 2.* yarn history server address</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark2EventLogDir</name>
|
||||
<description>spark 2.* event log dir location</description>
|
||||
</property>
|
||||
</parameters>
|
||||
|
||||
<global>
|
||||
<job-tracker>${jobTracker}</job-tracker>
|
||||
<name-node>${nameNode}</name-node>
|
||||
<configuration>
|
||||
<property>
|
||||
<name>mapreduce.job.queuename</name>
|
||||
<value>${queueName}</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.launcher.mapred.job.queue.name</name>
|
||||
<value>${oozieLauncherQueueName}</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.action.sharelib.for.spark</name>
|
||||
<value>${oozieActionShareLibForSpark2}</value>
|
||||
</property>
|
||||
|
||||
</configuration>
|
||||
</global>
|
||||
<start to="prepareInfo"/>
|
||||
|
||||
<kill name="Kill">
|
||||
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||
</kill>
|
||||
|
||||
|
||||
<fork name="prepareInfo">
|
||||
<path start="prepareBip"/>
|
||||
<path start="getFOS"/>
|
||||
</fork>
|
||||
|
||||
<action name="prepareBip">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Produces the unresolved from bip finder!</name>
|
||||
<class>eu.dnetlib.dhp.actionmanager.createunresolvedentities.PrepareBipFinder</class>
|
||||
<jar>dhp-aggregation-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-memory=${sparkExecutorMemory}
|
||||
--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}${spark2EventLogDir}
|
||||
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
|
||||
</spark-opts>
|
||||
<arg>--sourcePath</arg><arg>${bipScorePath}</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/prepared</arg>
|
||||
</spark>
|
||||
<ok to="join"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="getFOS">
|
||||
<java>
|
||||
<main-class>eu.dnetlib.dhp.actionmanager.createunresolvedentities.GetFOSData</main-class>
|
||||
<arg>--hdfsNameNode</arg><arg>${nameNode}</arg>
|
||||
<arg>--sourcePath</arg><arg>${fosPath}</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/input/fos</arg>
|
||||
<arg>--classForName</arg><arg>eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.FOSDataModel</arg>
|
||||
</java>
|
||||
<ok to="prepareFos"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="prepareFos">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Produces the unresolved from FOS!</name>
|
||||
<class>eu.dnetlib.dhp.actionmanager.createunresolvedentities.PrepareFOSSparkJob</class>
|
||||
<jar>dhp-aggregation-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-memory=${sparkExecutorMemory}
|
||||
--executor-cores=${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.warehouse.dir=${sparkSqlWarehouseDir}
|
||||
</spark-opts>
|
||||
<arg>--sourcePath</arg><arg>${workingDir}/input/fos</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/prepared</arg>
|
||||
|
||||
</spark>
|
||||
<ok to="join"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
|
||||
|
||||
<join name="join" to="produceUnresolved"/>
|
||||
|
||||
<action name="produceUnresolved">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Saves the result produced for bip and fos by grouping results with the same id</name>
|
||||
<class>eu.dnetlib.dhp.actionmanager.createunresolvedentities.SparkSaveUnresolved</class>
|
||||
<jar>dhp-aggregation-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-memory=${sparkExecutorMemory}
|
||||
--executor-cores=${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.warehouse.dir=${sparkSqlWarehouseDir}
|
||||
</spark-opts>
|
||||
<arg>--sourcePath</arg><arg>${workingDir}/prepared</arg>
|
||||
<arg>--outputPath</arg><arg>${outputPath}</arg>
|
||||
</spark>
|
||||
<ok to="End"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<end name="End"/>
|
||||
</workflow-app>
|
||||
|
|
@ -0,0 +1,20 @@
|
|||
[
|
||||
{
|
||||
"paramName": "issm",
|
||||
"paramLongName": "isSparkSessionManaged",
|
||||
"paramDescription": "when true will stop SparkSession after job execution",
|
||||
"paramRequired": false
|
||||
},
|
||||
{
|
||||
"paramName": "sp",
|
||||
"paramLongName": "sourcePath",
|
||||
"paramDescription": "the URL from where to get the programme file",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "o",
|
||||
"paramLongName": "outputPath",
|
||||
"paramDescription": "the path of the new ActionSet",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
||||
|
|
@ -0,0 +1,20 @@
|
|||
[
|
||||
{
|
||||
"paramName": "issm",
|
||||
"paramLongName": "isSparkSessionManaged",
|
||||
"paramDescription": "when true will stop SparkSession after job execution",
|
||||
"paramRequired": false
|
||||
},
|
||||
{
|
||||
"paramName": "sp",
|
||||
"paramLongName": "sourcePath",
|
||||
"paramDescription": "the URL from where to get the programme file",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "o",
|
||||
"paramLongName": "outputPath",
|
||||
"paramDescription": "the path of the new ActionSet",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
||||
|
|
@ -0,0 +1,250 @@
|
|||
|
||||
package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
|
||||
|
||||
import static org.junit.jupiter.api.Assertions.*;
|
||||
|
||||
import java.io.BufferedReader;
|
||||
import java.io.IOException;
|
||||
import java.io.InputStreamReader;
|
||||
import java.nio.file.Files;
|
||||
import java.nio.file.Path;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import org.apache.commons.io.FileUtils;
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.fs.LocalFileSystem;
|
||||
import org.apache.spark.SparkConf;
|
||||
import org.apache.spark.api.java.JavaRDD;
|
||||
import org.apache.spark.api.java.JavaSparkContext;
|
||||
import org.apache.spark.sql.SparkSession;
|
||||
import org.junit.jupiter.api.AfterAll;
|
||||
import org.junit.jupiter.api.Assertions;
|
||||
import org.junit.jupiter.api.BeforeAll;
|
||||
import org.junit.jupiter.api.Test;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
|
||||
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.FOSDataModel;
|
||||
import eu.dnetlib.dhp.common.collection.CollectorException;
|
||||
import eu.dnetlib.dhp.schema.oaf.Result;
|
||||
|
||||
public class PrepareTest {
|
||||
|
||||
private static final Logger log = LoggerFactory.getLogger(ProduceTest.class);
|
||||
|
||||
private static Path workingDir;
|
||||
private static SparkSession spark;
|
||||
private static LocalFileSystem fs;
|
||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
||||
|
||||
@BeforeAll
|
||||
public static void beforeAll() throws IOException {
|
||||
workingDir = Files.createTempDirectory(PrepareTest.class.getSimpleName());
|
||||
|
||||
fs = FileSystem.getLocal(new Configuration());
|
||||
log.info("using work dir {}", workingDir);
|
||||
|
||||
SparkConf conf = new SparkConf();
|
||||
conf.setAppName(ProduceTest.class.getSimpleName());
|
||||
|
||||
conf.setMaster("local[*]");
|
||||
conf.set("spark.driver.host", "localhost");
|
||||
conf.set("hive.metastore.local", "true");
|
||||
conf.set("spark.ui.enabled", "false");
|
||||
conf.set("spark.sql.warehouse.dir", workingDir.toString());
|
||||
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
|
||||
|
||||
spark = SparkSession
|
||||
.builder()
|
||||
.appName(PrepareTest.class.getSimpleName())
|
||||
.config(conf)
|
||||
.getOrCreate();
|
||||
}
|
||||
|
||||
@AfterAll
|
||||
public static void afterAll() throws IOException {
|
||||
FileUtils.deleteDirectory(workingDir.toFile());
|
||||
spark.stop();
|
||||
}
|
||||
|
||||
@Test
|
||||
void bipPrepareTest() throws Exception {
|
||||
final String sourcePath = getClass()
|
||||
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/bip/bip.json")
|
||||
.getPath();
|
||||
|
||||
PrepareBipFinder
|
||||
.main(
|
||||
new String[] {
|
||||
"--isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||
"--sourcePath", sourcePath,
|
||||
"--outputPath", workingDir.toString() + "/work"
|
||||
|
||||
});
|
||||
|
||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
|
||||
JavaRDD<Result> tmp = sc
|
||||
.textFile(workingDir.toString() + "/work/bip")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
|
||||
|
||||
Assertions.assertEquals(86, tmp.count());
|
||||
|
||||
String doi1 = "unresolved:10.0000/096020199389707:doi";
|
||||
|
||||
Assertions.assertEquals(1, tmp.filter(r -> r.getId().equals(doi1)).count());
|
||||
Assertions.assertEquals(3, tmp.filter(r -> r.getId().equals(doi1)).collect().get(0).getMeasures().size());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
"6.34596412687e-09", tmp
|
||||
.filter(r -> r.getId().equals(doi1))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getMeasures()
|
||||
.stream()
|
||||
.filter(sl -> sl.getId().equals("influence"))
|
||||
.collect(Collectors.toList())
|
||||
.get(0)
|
||||
.getUnit()
|
||||
.get(0)
|
||||
.getValue());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
"0.641151896994", tmp
|
||||
.filter(r -> r.getId().equals(doi1))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getMeasures()
|
||||
.stream()
|
||||
.filter(sl -> sl.getId().equals("popularity_alt"))
|
||||
.collect(Collectors.toList())
|
||||
.get(0)
|
||||
.getUnit()
|
||||
.get(0)
|
||||
.getValue());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
"2.33375102921e-09", tmp
|
||||
.filter(r -> r.getId().equals(doi1))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getMeasures()
|
||||
.stream()
|
||||
.filter(sl -> sl.getId().equals("popularity"))
|
||||
.collect(Collectors.toList())
|
||||
.get(0)
|
||||
.getUnit()
|
||||
.get(0)
|
||||
.getValue());
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
void getFOSFileTest() throws IOException, ClassNotFoundException {
|
||||
|
||||
final String sourcePath = getClass()
|
||||
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/h2020_fos_sbs.csv")
|
||||
.getPath();
|
||||
final String outputPath = workingDir.toString() + "/fos.json";
|
||||
|
||||
new GetFOSData()
|
||||
.doRewrite(
|
||||
sourcePath, outputPath, "eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.FOSDataModel",
|
||||
'\t', fs);
|
||||
|
||||
BufferedReader in = new BufferedReader(
|
||||
new InputStreamReader(fs.open(new org.apache.hadoop.fs.Path(outputPath))));
|
||||
|
||||
String line;
|
||||
int count = 0;
|
||||
while ((line = in.readLine()) != null) {
|
||||
FOSDataModel fos = new ObjectMapper().readValue(line, FOSDataModel.class);
|
||||
|
||||
System.out.println(new ObjectMapper().writeValueAsString(fos));
|
||||
count += 1;
|
||||
}
|
||||
|
||||
assertEquals(38, count);
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
void fosPrepareTest() throws Exception {
|
||||
final String sourcePath = getClass()
|
||||
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos.json")
|
||||
.getPath();
|
||||
|
||||
PrepareFOSSparkJob
|
||||
.main(
|
||||
new String[] {
|
||||
"--isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||
"--sourcePath", sourcePath,
|
||||
|
||||
"-outputPath", workingDir.toString() + "/work"
|
||||
|
||||
});
|
||||
|
||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
|
||||
JavaRDD<Result> tmp = sc
|
||||
.textFile(workingDir.toString() + "/work/fos")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
|
||||
|
||||
String doi1 = "unresolved:10.3390/s18072310:doi";
|
||||
|
||||
assertEquals(50, tmp.count());
|
||||
assertEquals(1, tmp.filter(row -> row.getId().equals(doi1)).count());
|
||||
assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getId().equals(doi1))
|
||||
.flatMap(r -> r.getSubject().iterator())
|
||||
.map(sbj -> sbj.getValue())
|
||||
.collect()
|
||||
.contains("engineering and technology"));
|
||||
|
||||
assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getId().equals(doi1))
|
||||
.flatMap(r -> r.getSubject().iterator())
|
||||
.map(sbj -> sbj.getValue())
|
||||
.collect()
|
||||
.contains("nano-technology"));
|
||||
assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getId().equals(doi1))
|
||||
.flatMap(r -> r.getSubject().iterator())
|
||||
.map(sbj -> sbj.getValue())
|
||||
.collect()
|
||||
.contains("nanoscience & nanotechnology"));
|
||||
|
||||
String doi = "unresolved:10.1111/1365-2656.12831:doi";
|
||||
assertEquals(1, tmp.filter(row -> row.getId().equals(doi)).count());
|
||||
assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getId().equals(doi))
|
||||
.flatMap(r -> r.getSubject().iterator())
|
||||
.map(sbj -> sbj.getValue())
|
||||
.collect()
|
||||
.contains("psychology and cognitive sciences"));
|
||||
|
||||
assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getId().equals(doi))
|
||||
.flatMap(r -> r.getSubject().iterator())
|
||||
.map(sbj -> sbj.getValue())
|
||||
.collect()
|
||||
.contains("social sciences"));
|
||||
assertFalse(
|
||||
tmp
|
||||
.filter(r -> r.getId().equals(doi))
|
||||
.flatMap(r -> r.getSubject().iterator())
|
||||
.map(sbj -> sbj.getValue())
|
||||
.collect()
|
||||
.contains("NULL"));
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,234 @@
|
|||
|
||||
package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.nio.file.Files;
|
||||
import java.nio.file.Path;
|
||||
import java.util.List;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import org.apache.commons.io.FileUtils;
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.fs.LocalFileSystem;
|
||||
import org.apache.spark.SparkConf;
|
||||
import org.apache.spark.api.java.JavaRDD;
|
||||
import org.apache.spark.api.java.JavaSparkContext;
|
||||
import org.apache.spark.sql.SparkSession;
|
||||
import org.junit.jupiter.api.AfterAll;
|
||||
import org.junit.jupiter.api.Assertions;
|
||||
import org.junit.jupiter.api.BeforeAll;
|
||||
import org.junit.jupiter.api.Test;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
import eu.dnetlib.dhp.schema.oaf.*;
|
||||
|
||||
public class ProduceTest {
|
||||
private static final Logger log = LoggerFactory.getLogger(ProduceTest.class);
|
||||
|
||||
private static Path workingDir;
|
||||
private static SparkSession spark;
|
||||
private static LocalFileSystem fs;
|
||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
||||
private static final String ID_PREFIX = "50|doi_________";
|
||||
|
||||
@BeforeAll
|
||||
public static void beforeAll() throws IOException {
|
||||
workingDir = Files.createTempDirectory(ProduceTest.class.getSimpleName());
|
||||
|
||||
fs = FileSystem.getLocal(new Configuration());
|
||||
log.info("using work dir {}", workingDir);
|
||||
|
||||
SparkConf conf = new SparkConf();
|
||||
conf.setAppName(ProduceTest.class.getSimpleName());
|
||||
|
||||
conf.setMaster("local[*]");
|
||||
conf.set("spark.driver.host", "localhost");
|
||||
conf.set("hive.metastore.local", "true");
|
||||
conf.set("spark.ui.enabled", "false");
|
||||
conf.set("spark.sql.warehouse.dir", workingDir.toString());
|
||||
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
|
||||
|
||||
spark = SparkSession
|
||||
.builder()
|
||||
.appName(ProduceTest.class.getSimpleName())
|
||||
.config(conf)
|
||||
.getOrCreate();
|
||||
}
|
||||
|
||||
@AfterAll
|
||||
public static void afterAll() throws IOException {
|
||||
FileUtils.deleteDirectory(workingDir.toFile());
|
||||
spark.stop();
|
||||
}
|
||||
|
||||
@Test
|
||||
void produceTest() throws Exception {
|
||||
|
||||
final String bipPath = getClass()
|
||||
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/bip/bip.json")
|
||||
.getPath();
|
||||
|
||||
PrepareBipFinder
|
||||
.main(
|
||||
new String[] {
|
||||
"--isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||
"--sourcePath", bipPath,
|
||||
"--outputPath", workingDir.toString() + "/work"
|
||||
|
||||
});
|
||||
final String fosPath = getClass()
|
||||
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos.json")
|
||||
.getPath();
|
||||
|
||||
PrepareFOSSparkJob
|
||||
.main(
|
||||
new String[] {
|
||||
"--isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||
"--sourcePath", fosPath,
|
||||
"-outputPath", workingDir.toString() + "/work"
|
||||
});
|
||||
|
||||
SparkSaveUnresolved.main(new String[] {
|
||||
"--isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||
"--sourcePath", workingDir.toString() + "/work",
|
||||
|
||||
"-outputPath", workingDir.toString() + "/unresolved"
|
||||
|
||||
});
|
||||
|
||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
|
||||
JavaRDD<Result> tmp = sc
|
||||
.textFile(workingDir.toString() + "/unresolved")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
|
||||
|
||||
Assertions.assertEquals(135, tmp.count());
|
||||
|
||||
Assertions.assertEquals(1, tmp.filter(row -> row.getId().equals("unresolved:10.3390/s18072310:doi")).count());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
3, tmp
|
||||
.filter(row -> row.getId().equals("unresolved:10.3390/s18072310:doi"))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getSubject()
|
||||
.size());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
3, tmp
|
||||
.filter(row -> row.getId().equals("unresolved:10.3390/s18072310:doi"))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getMeasures()
|
||||
.size());
|
||||
|
||||
List<StructuredProperty> sbjs = tmp
|
||||
.filter(row -> row.getId().equals("unresolved:10.3390/s18072310:doi"))
|
||||
.flatMap(row -> row.getSubject().iterator())
|
||||
.collect();
|
||||
|
||||
sbjs.forEach(sbj -> Assertions.assertEquals("FOS", sbj.getQualifier().getClassid()));
|
||||
sbjs
|
||||
.forEach(
|
||||
sbj -> Assertions
|
||||
.assertEquals(
|
||||
"Fields of Science and Technology classification", sbj.getQualifier().getClassname()));
|
||||
sbjs
|
||||
.forEach(
|
||||
sbj -> Assertions
|
||||
.assertEquals(ModelConstants.DNET_SUBJECT_TYPOLOGIES, sbj.getQualifier().getSchemeid()));
|
||||
sbjs
|
||||
.forEach(
|
||||
sbj -> Assertions
|
||||
.assertEquals(ModelConstants.DNET_SUBJECT_TYPOLOGIES, sbj.getQualifier().getSchemename()));
|
||||
|
||||
sbjs.forEach(sbj -> Assertions.assertEquals(false, sbj.getDataInfo().getDeletedbyinference()));
|
||||
sbjs.forEach(sbj -> Assertions.assertEquals(true, sbj.getDataInfo().getInferred()));
|
||||
sbjs.forEach(sbj -> Assertions.assertEquals(false, sbj.getDataInfo().getInvisible()));
|
||||
sbjs.forEach(sbj -> Assertions.assertEquals("", sbj.getDataInfo().getTrust()));
|
||||
sbjs.forEach(sbj -> Assertions.assertEquals("update", sbj.getDataInfo().getInferenceprovenance()));
|
||||
sbjs
|
||||
.forEach(
|
||||
sbj -> Assertions.assertEquals("subject:fos", sbj.getDataInfo().getProvenanceaction().getClassid()));
|
||||
sbjs
|
||||
.forEach(
|
||||
sbj -> Assertions
|
||||
.assertEquals("Inferred by OpenAIRE", sbj.getDataInfo().getProvenanceaction().getClassname()));
|
||||
sbjs
|
||||
.forEach(
|
||||
sbj -> Assertions
|
||||
.assertEquals(
|
||||
ModelConstants.DNET_PROVENANCE_ACTIONS, sbj.getDataInfo().getProvenanceaction().getSchemeid()));
|
||||
sbjs
|
||||
.forEach(
|
||||
sbj -> Assertions
|
||||
.assertEquals(
|
||||
ModelConstants.DNET_PROVENANCE_ACTIONS,
|
||||
sbj.getDataInfo().getProvenanceaction().getSchemename()));
|
||||
|
||||
sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("engineering and technology"));
|
||||
sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("nano-technology"));
|
||||
sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("nanoscience & nanotechnology"));
|
||||
|
||||
List<Measure> measures = tmp
|
||||
.filter(row -> row.getId().equals("unresolved:10.3390/s18072310:doi"))
|
||||
.flatMap(row -> row.getMeasures().iterator())
|
||||
.collect();
|
||||
Assertions
|
||||
.assertEquals(
|
||||
"7.5597134689e-09", measures
|
||||
.stream()
|
||||
.filter(mes -> mes.getId().equals("influence"))
|
||||
.collect(Collectors.toList())
|
||||
.get(0)
|
||||
.getUnit()
|
||||
.get(0)
|
||||
.getValue());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
"4.903880192", measures
|
||||
.stream()
|
||||
.filter(mes -> mes.getId().equals("popularity_alt"))
|
||||
.collect(Collectors.toList())
|
||||
.get(0)
|
||||
.getUnit()
|
||||
.get(0)
|
||||
.getValue());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
"1.17977512835e-08", measures
|
||||
.stream()
|
||||
.filter(mes -> mes.getId().equals("popularity"))
|
||||
.collect(Collectors.toList())
|
||||
.get(0)
|
||||
.getUnit()
|
||||
.get(0)
|
||||
.getValue());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
49, tmp
|
||||
.filter(row -> !row.getId().equals("unresolved:10.3390/s18072310:doi"))
|
||||
.filter(row -> row.getSubject() != null)
|
||||
.count());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
85,
|
||||
tmp
|
||||
.filter(row -> !row.getId().equals("unresolved:10.3390/s18072310:doi"))
|
||||
.filter(r -> r.getMeasures() != null)
|
||||
.count());
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,86 @@
|
|||
{"10.3390/s18072310": [{"id": "influence", "unit": [{"value": "7.5597134689e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "4.903880192", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "1.17977512835e-08", "key": "score"}]}]}
|
||||
{"10.0000/096020199389707": [{"id": "influence", "unit": [{"value": "6.34596412687e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.641151896994", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "2.33375102921e-09", "key": "score"}]}]}
|
||||
{"10.00000/jpmc.2017.106": [{"id": "influence", "unit": [{"value": "5.91019644836e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "5.39172290649e-09", "key": "score"}]}]}
|
||||
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|
||||
{"10.0000/hoplos.v3i5.41163": [{"id": "influence", "unit": [{"value": "5.91019644836e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "7.28336930301e-09", "key": "score"}]}]}
|
||||
{"10.0000/hoplos.v3i5.41166": [{"id": "influence", "unit": [{"value": "5.91019644836e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "7.28336930301e-09", "key": "score"}]}]}
|
||||
{"10.0000/hoplos.v3i5.41167": [{"id": "influence", "unit": [{"value": "5.91019644836e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "7.28336930301e-09", "key": "score"}]}]}
|
||||
{"10.0000/hoplos.v3i5.41168": [{"id": "influence", "unit": [{"value": "5.91019644836e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "7.28336930301e-09", "key": "score"}]}]}
|
||||
{"10.0000/hoplos.v3i5.41229": [{"id": "influence", "unit": [{"value": "5.91019644836e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "8.48190886761e-09", "key": "score"}]}]}
|
||||
{"10.0000/hoplos.v4i6.36360": [{"id": "influence", "unit": [{"value": "5.91019644836e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "8.48190886761e-09", "key": "score"}]}]}
|
||||
{"10.0000/hoplos.v4i6.40796": [{"id": "influence", "unit": [{"value": "5.91019644836e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "8.48190886761e-09", "key": "score"}]}]}
|
||||
{"10.0000/hoplos.v4i6.41153": [{"id": "influence", "unit": [{"value": "5.91019644836e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "8.48190886761e-09", "key": "score"}]}]}
|
||||
{"10.0000/hoplos.v4i6.42511": [{"id": "influence", "unit": [{"value": "5.91019644836e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "8.48190886761e-09", "key": "score"}]}]}
|
||||
{"10.0000/hoplos.v4i6.42555": [{"id": "influence", "unit": [{"value": "5.91019644836e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "8.48190886761e-09", "key": "score"}]}]}
|
||||
{"10.0000/hoplos.v4i6.42752": [{"id": "influence", "unit": [{"value": "5.91019644836e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "8.48190886761e-09", "key": "score"}]}]}
|
||||
{"10.0000/hoplos.v4i6.42768": [{"id": "influence", "unit": [{"value": "5.91019644836e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "8.48190886761e-09", "key": "score"}]}]}
|
||||
{"10.0000/hoplos.v4i6.42795": [{"id": "influence", "unit": [{"value": "5.91019644836e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "8.48190886761e-09", "key": "score"}]}]}
|
||||
{"10.0000/hoplos.v4i7.41295": [{"id": "influence", "unit": [{"value": "5.91019644836e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "8.48190886761e-09", "key": "score"}]}]}
|
||||
{"10.0000/hoplos.v4i7.42830": [{"id": "influence", "unit": [{"value": "5.91019644836e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "8.48190886761e-09", "key": "score"}]}]}
|
||||
{"10.0000/hoplos.v4i7.42861": [{"id": "influence", "unit": [{"value": "5.91019644836e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "8.48190886761e-09", "key": "score"}]}]}
|
||||
{"10.0000/hoplos.v4i7.43096": [{"id": "influence", "unit": [{"value": "5.91019644836e-09", "key": "score"}]}, {"id": "popularity_alt", "unit": [{"value": "0.0", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "8.48190886761e-09", "key": "score"}]}]}
|
||||
|
|
@ -0,0 +1,38 @@
|
|||
{"doi":"10.3390/s18072310","level1":"engineering and technology","level2":"nano-technology","level3":"nanoscience & nanotechnology"}
|
||||
{"doi":"10.1111/1365-2656.12831\u000210.17863/cam.24369","level1":"social sciences","level2":"psychology and cognitive sciences","level3":"NULL"}
|
||||
{"doi":"10.3929/ethz-b-000187584\u000210.1002/chem.201701644","level1":"natural sciences","level2":"NULL","level3":"NULL"}
|
||||
{"doi":"10.1080/01913123.2017.1367361","level1":"medical and health sciences","level2":"clinical medicine","level3":"oncology & carcinogenesis"}
|
||||
{"doi":"10.1051/e3sconf/20199207011","level1":"natural sciences","level2":"earth and related environmental sciences","level3":"environmental sciences"}
|
||||
{"doi":"10.1038/onc.2015.333","level1":"medical and health sciences","level2":"clinical medicine","level3":"oncology & carcinogenesis"}
|
||||
{"doi":"10.1093/mnras/staa256","level1":"natural sciences","level2":"physical sciences","level3":"NULL"}
|
||||
{"doi":"10.1016/j.jclepro.2018.07.166","level1":"engineering and technology","level2":"other engineering and technologies","level3":"building & construction"}
|
||||
{"doi":"10.1103/physrevlett.125.037403","level1":"natural sciences","level2":"physical sciences","level3":"nuclear & particles physics"}
|
||||
{"doi":"10.1080/03602532.2017.1316285","level1":"natural sciences","level2":"NULL","level3":"NULL"}
|
||||
{"doi":"10.1001/jamanetworkopen.2019.1868","level1":"medical and health sciences","level2":"other medical science","level3":"health policy & services"}
|
||||
{"doi":"10.1128/mra.00874-18","level1":"natural sciences","level2":"biological sciences","level3":"plant biology & botany"}
|
||||
{"doi":"10.1016/j.nancom.2018.03.001","level1":"engineering and technology","level2":"NULL","level3":"NULL"}
|
||||
{"doi":"10.1112/topo.12174","level1":"natural sciences","level2":"NULL","level3":"NULL"}
|
||||
{"doi":"10.12688/wellcomeopenres.15846.1","level1":"medical and health sciences","level2":"health sciences","level3":"NULL"}
|
||||
{"doi":"10.21468/scipostphys.3.1.001","level1":"natural sciences","level2":"physical sciences","level3":"NULL"}
|
||||
{"doi":"10.1088/1741-4326/ab6c77","level1":"natural sciences","level2":"physical sciences","level3":"nuclear & particles physics"}
|
||||
{"doi":"10.1109/tpwrs.2019.2944747","level1":"engineering and technology","level2":"electrical engineering, electronic engineering, information engineering","level3":"electrical & electronic engineering"}
|
||||
{"doi":"10.1016/j.expthermflusci.2019.109994\u000210.17863/cam.46212","level1":"engineering and technology","level2":"mechanical engineering","level3":"mechanical engineering & transports"}
|
||||
{"doi":"10.1109/tc.2018.2860012","level1":"engineering and technology","level2":"electrical engineering, electronic engineering, information engineering","level3":"computer hardware & architecture"}
|
||||
{"doi":"10.1002/mma.6622","level1":"natural sciences","level2":"mathematics","level3":"numerical & computational mathematics"}
|
||||
{"doi":"10.1051/radiopro/2020020","level1":"natural sciences","level2":"chemical sciences","level3":"NULL"}
|
||||
{"doi":"10.1007/s12268-019-1003-4","level1":"medical and health sciences","level2":"basic medicine","level3":"NULL"}
|
||||
{"doi":"10.3390/cancers12010236","level1":"medical and health sciences","level2":"health sciences","level3":"biochemistry & molecular biology"}
|
||||
{"doi":"10.6084/m9.figshare.9912614\u000210.6084/m9.figshare.9912614.v1\u000210.1080/00268976.2019.1665199","level1":"natural sciences","level2":"chemical sciences","level3":"physical chemistry"}
|
||||
{"doi":"10.1175/jpo-d-17-0239.1","level1":"natural sciences","level2":"biological sciences","level3":"marine biology & hydrobiology"}
|
||||
{"doi":"10.1007/s13218-020-00674-7","level1":"engineering and technology","level2":"industrial biotechnology","level3":"industrial engineering & automation"}
|
||||
{"doi":"10.1016/j.psyneuen.2016.02.003\u000210.1016/j.psyneuen.2016.02.00310.7892/boris.78886\u000210.7892/boris.78886","level1":"medical and health sciences","level2":"basic medicine","level3":"NULL"}
|
||||
{"doi":"10.1109/ted.2018.2813542","level1":"engineering and technology","level2":"electrical engineering, electronic engineering, information engineering","level3":"electrical & electronic engineering"}
|
||||
{"doi":"10.3989/scimar.04739.25a","level1":"natural sciences","level2":"biological sciences","level3":"NULL"}
|
||||
{"doi":"10.3390/su12187503","level1":"natural sciences","level2":"earth and related environmental sciences","level3":"NULL"}
|
||||
{"doi":"10.1016/j.ccell.2018.08.017","level1":"medical and health sciences","level2":"basic medicine","level3":"biochemistry & molecular biology"}
|
||||
{"doi":"10.1103/physrevresearch.2.023322","level1":"natural sciences","level2":"physical sciences","level3":"nuclear & particles physics"}
|
||||
{"doi":"10.1039/c8cp03234c","level1":"natural sciences","level2":"NULL","level3":"NULL"}
|
||||
{"doi":"10.5281/zenodo.3696557\u000210.5281/zenodo.3696556\u000210.1109/jsac.2016.2545384","level1":"engineering and technology","level2":"electrical engineering, electronic engineering, information engineering","level3":"networking & telecommunications"}
|
||||
{"doi":"10.1038/ng.3667\u000210.1038/ng.3667.\u000210.17615/tct6-4m26\u000210.17863/cam.15649","level1":"medical and health sciences","level2":"health sciences","level3":"genetics & heredity"}
|
||||
{"doi":"10.1016/j.jclepro.2019.119065","level1":"engineering and technology","level2":"other engineering and technologies","level3":"building & construction"}
|
||||
{"doi":"10.1111/pce.13392","level1":"agricultural and veterinary sciences","level2":"agriculture, forestry, and fisheries","level3":"agronomy & agriculture"}
|
||||
|
|
@ -0,0 +1,38 @@
|
|||
dedup_wf_001::ddcc7a56fa13e49bcc59c6bdd19ad26c 10.3390/s18072310 engineering and technology nano-technology nanoscience & nanotechnology
|
||||
dedup_wf_001::b76062d56e28224eac56111a4e1e5ecf 10.1111/1365-2656.1283110.17863/cam.24369 social sciences psychology and cognitive sciences NULL
|
||||
dedup_wf_001::bb752acb8f403a25fa7851a302f7b7ac 10.3929/ethz-b-00018758410.1002/chem.201701644 natural sciences NULL NULL
|
||||
dedup_wf_001::2f1435a9201ecf5cbbcb12c9b2d971cd 10.1080/01913123.2017.1367361 medical and health sciences clinical medicine oncology & carcinogenesis
|
||||
dedup_wf_001::fc9e47ec16c67b101724320d4b030514 10.1051/e3sconf/20199207011 natural sciences earth and related environmental sciences environmental sciences
|
||||
dedup_wf_001::caa1e5b4de387cb31751552f4f0f5d72 10.1038/onc.2015.333 medical and health sciences clinical medicine oncology & carcinogenesis
|
||||
dedup_wf_001::c2a98df5637d69bf0524eaf40fe6bf11 10.1093/mnras/staa256 natural sciences physical sciences NULL
|
||||
dedup_wf_001::c221262bdc77cbfd59859a402f0e3991 10.1016/j.jclepro.2018.07.166 engineering and technology other engineering and technologies building & construction
|
||||
doiboost____::d56d9dc21f317b3e009d5b6c8ea87212 10.1103/physrevlett.125.037403 natural sciences physical sciences nuclear & particles physics
|
||||
dedup_wf_001::8a7269c8ee6470b2fb4fd384bc389e08 10.1080/03602532.2017.1316285 natural sciences NULL NULL
|
||||
dedup_wf_001::28342ebbc19833e4e1f4a2b23cf5ee20 10.1001/jamanetworkopen.2019.1868 medical and health sciences other medical science health policy & services
|
||||
dedup_wf_001::c1e1daf2b55dd9ec8e1c7c7458bbc7bc 10.1128/mra.00874-18 natural sciences biological sciences plant biology & botany
|
||||
dedup_wf_001::a2ef4a2720c71907180750e5871298ef 10.1016/j.nancom.2018.03.001 engineering and technology NULL NULL
|
||||
dedup_wf_001::676f46a31519e83a89efcb1c626286fb 10.1112/topo.12174 natural sciences NULL NULL
|
||||
dedup_wf_001::6f2761642f1e39313388e2c4060657dd 10.12688/wellcomeopenres.15846.1 medical and health sciences health sciences NULL
|
||||
dedup_wf_001::e414c1dec599521a9635a60de0f6755b 10.21468/scipostphys.3.1.001 natural sciences physical sciences NULL
|
||||
dedup_wf_001::f3395fe0f330164ea424dc61c86c9a3d 10.1088/1741-4326/ab6c77 natural sciences physical sciences nuclear & particles physics
|
||||
dedup_wf_001::a4f32a97a783117012f1de11797e73f2 10.1109/tpwrs.2019.2944747 engineering and technology electrical engineering, electronic engineering, information engineering electrical & electronic engineering
|
||||
dedup_wf_001::313ae1cd083ae1696d12dd1909f97df8 10.1016/j.expthermflusci.2019.10999410.17863/cam.46212 engineering and technology mechanical engineering mechanical engineering & transports
|
||||
dedup_wf_001::2a300a7d3ca7347791ebcef986bc0682 10.1109/tc.2018.2860012 engineering and technology electrical engineering, electronic engineering, information engineering computer hardware & architecture
|
||||
doiboost____::5b79bd7bd9f87361b4a4abc3cbb2df75 10.1002/mma.6622 natural sciences mathematics numerical & computational mathematics
|
||||
dedup_wf_001::6a3f61f217a2519fbaddea1094e3bfc2 10.1051/radiopro/2020020 natural sciences chemical sciences NULL
|
||||
dedup_wf_001::a3f0430309a639f4234a0e57b10f2dee 10.1007/s12268-019-1003-4 medical and health sciences basic medicine NULL
|
||||
dedup_wf_001::b6b8a3a1cccbee459cf3343485efdb12 10.3390/cancers12010236 medical and health sciences health sciences biochemistry & molecular biology
|
||||
dedup_wf_001::dd06ee7974730e7b09a4f03c83b3f9bd 10.6084/m9.figshare.991261410.6084/m9.figshare.9912614.v110.1080/00268976.2019.1665199 natural sciences chemical sciences physical chemistry
|
||||
dedup_wf_001::027c78bef6f972b5e26dfea55d30fbe3 10.1175/jpo-d-17-0239.1 natural sciences biological sciences marine biology & hydrobiology
|
||||
dedup_wf_001::43edc179aa9e1fbaf582c5203b18b519 10.1007/s13218-020-00674-7 engineering and technology industrial biotechnology industrial engineering & automation
|
||||
dedup_wf_001::e7770e11cd6eb514bb52c07b5a8a80f0 10.1016/j.psyneuen.2016.02.00310.1016/j.psyneuen.2016.02.00310.7892/boris.7888610.7892/boris.78886 medical and health sciences basic medicine NULL
|
||||
dedup_wf_001::80bc15d69bdc589149631f3439dde5aa 10.1109/ted.2018.2813542 engineering and technology electrical engineering, electronic engineering, information engineering electrical & electronic engineering
|
||||
dedup_wf_001::42c1cfa33e7872944b920cff90f4d99e 10.3989/scimar.04739.25a natural sciences biological sciences NULL
|
||||
dedup_wf_001::9bacdbbaa9da3658b7243d5de8e3ce14 10.3390/su12187503 natural sciences earth and related environmental sciences NULL
|
||||
dedup_wf_001::59e43d3527dcfecb6097fbd5740c8950 10.1016/j.ccell.2018.08.017 medical and health sciences basic medicine biochemistry & molecular biology
|
||||
doiboost____::e024d1b738df3b24bc58fa0228542571 10.1103/physrevresearch.2.023322 natural sciences physical sciences nuclear & particles physics
|
||||
dedup_wf_001::66e9a3237fa8178886d26d3c2d5b9e66 10.1039/c8cp03234c natural sciences NULL NULL
|
||||
dedup_wf_001::83737ab4205bae751571bb3b166efa18 10.5281/zenodo.369655710.5281/zenodo.369655610.1109/jsac.2016.2545384 engineering and technology electrical engineering, electronic engineering, information engineering networking & telecommunications
|
||||
dedup_wf_001::e3f892db413a689e572dd256acad55fe 10.1038/ng.366710.1038/ng.3667.10.17615/tct6-4m2610.17863/cam.15649 medical and health sciences health sciences genetics & heredity
|
||||
dedup_wf_001::14ba594e8fd081847bc3f50f56335003 10.1016/j.jclepro.2019.119065 engineering and technology other engineering and technologies building & construction
|
||||
dedup_wf_001::08ac7b33a41bcea2d055ecd8585d632e 10.1111/pce.13392 agricultural and veterinary sciences agriculture, forestry, and fisheries agronomy & agriculture
|
||||
|
|
|
@ -25,6 +25,24 @@ public class PropagationConstant {
|
|||
private PropagationConstant() {
|
||||
}
|
||||
|
||||
public static final String DOI = "doi";
|
||||
public static final String REF_DOI = ".refs";
|
||||
|
||||
public static final String UPDATE_DATA_INFO_TYPE = "update";
|
||||
public static final String UPDATE_SUBJECT_FOS_CLASS_ID = "subject:fos";
|
||||
public static final String UPDATE_CLASS_NAME = "Inferred by OpenAIRE";
|
||||
public static final String UPDATE_MEASURE_BIP_CLASS_ID = "measure:bip";
|
||||
|
||||
public static final String FOS_CLASS_ID = "FOS";
|
||||
public static final String FOS_CLASS_NAME = "Fields of Science and Technology classification";
|
||||
|
||||
public static final String OPENCITATIONS_CLASSID = "sysimport:crosswalk:opencitations";
|
||||
public static final String OPENCITATIONS_CLASSNAME = "Imported from OpenCitations";
|
||||
public static final String ID_PREFIX = "50|doi_________::";
|
||||
public static final String OC_TRUST = "0.91";
|
||||
|
||||
public final static String NULL = "NULL";
|
||||
|
||||
public static final String INSTITUTIONAL_REPO_TYPE = "pubsrepository::institutional";
|
||||
|
||||
public static final String PROPAGATION_DATA_INFO_TYPE = "propagation";
|
||||
|
|
@ -75,10 +93,25 @@ public class PropagationConstant {
|
|||
|
||||
public static DataInfo getDataInfo(
|
||||
String inference_provenance, String inference_class_id, String inference_class_name, String qualifierSchema) {
|
||||
|
||||
return getDataInfo(inference_provenance, inference_class_id, inference_class_name, qualifierSchema, "0.85");
|
||||
}
|
||||
|
||||
public static DataInfo getDataInfo(
|
||||
String inference_provenance, String inference_class_id, String inference_class_name, String qualifierSchema,
|
||||
String trust) {
|
||||
return getDataInfo(
|
||||
inference_provenance, inference_class_id, inference_class_name, qualifierSchema, trust, true);
|
||||
|
||||
}
|
||||
|
||||
public static DataInfo getDataInfo(
|
||||
String inference_provenance, String inference_class_id, String inference_class_name, String qualifierSchema,
|
||||
String trust, boolean inferred) {
|
||||
DataInfo di = new DataInfo();
|
||||
di.setInferred(true);
|
||||
di.setInferred(inferred);
|
||||
di.setDeletedbyinference(false);
|
||||
di.setTrust("0.85");
|
||||
di.setTrust(trust);
|
||||
di.setInferenceprovenance(inference_provenance);
|
||||
di.setProvenanceaction(getQualifier(inference_class_id, inference_class_name, qualifierSchema));
|
||||
return di;
|
||||
|
|
|
|||
|
|
@ -331,7 +331,6 @@ public class DumpJobTest {
|
|||
Assertions
|
||||
.assertEquals(
|
||||
Constants.accessRightsCoarMap.get(ModelConstants.ACCESS_RIGHT_OPEN), gr.getBestaccessright().getCode());
|
||||
Assertions.assertEquals(null, gr.getBestaccessright().getOpenAccessRoute());
|
||||
|
||||
Assertions.assertEquals("One Ecosystem", gr.getContainer().getName());
|
||||
Assertions.assertEquals("2367-8194", gr.getContainer().getIssnOnline());
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Instead of defining an ad hoc method, it would be better to reuse the already existing function for the creation of the unresolved identifiers. It is available in