[OrcidPropagation] new preparation step to use the authornamedisambiguation employed for orcid enrichment.
This commit is contained in:
parent
aeaedeed01
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d2fc392814
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package eu.dnetlib.dhp.orcidtoresultfromsemrel;
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public class AutoritativeAuthor {
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private String name;
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private String surname;
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private String fullname;
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private String orcid;
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public String getName() {
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return name;
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}
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public void setName(String name) {
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this.name = name;
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}
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public String getSurname() {
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return surname;
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}
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public void setSurname(String surname) {
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this.surname = surname;
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}
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public String getFullname() {
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return fullname;
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}
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public void setFullname(String fullname) {
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this.fullname = fullname;
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}
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public String getOrcid() {
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return orcid;
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}
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public void setOrcid(String orcid) {
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this.orcid = orcid;
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}
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}
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@ -0,0 +1,18 @@
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package eu.dnetlib.dhp.orcidtoresultfromsemrel;
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import eu.dnetlib.dhp.utils.OrcidAuthor;
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import java.io.Serializable;
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import java.util.List;
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public class OrcidAuthors implements Serializable {
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List<OrcidAuthor> orcidAuthorList;
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public List<OrcidAuthor> getOrcidAuthorList() {
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return orcidAuthorList;
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}
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public void setOrcidAuthorList(List<OrcidAuthor> orcidAuthorList) {
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this.orcidAuthorList = orcidAuthorList;
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}
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}
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@ -1,124 +0,0 @@
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package eu.dnetlib.dhp.orcidtoresultfromsemrel;
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import static eu.dnetlib.dhp.PropagationConstant.*;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
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import java.util.Arrays;
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import java.util.List;
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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.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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import com.google.gson.Gson;
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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.Relation;
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import eu.dnetlib.dhp.schema.oaf.Result;
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public class PrepareResultOrcidAssociationStep1 {
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private static final Logger log = LoggerFactory.getLogger(PrepareResultOrcidAssociationStep1.class);
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public static void main(String[] args) throws Exception {
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String jsonConf = IOUtils
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.toString(
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PrepareResultOrcidAssociationStep1.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/wf/subworkflows/orcidtoresultfromsemrel/input_prepareorcidtoresult_parameters.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConf);
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parser.parseArgument(args);
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Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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String inputPath = parser.get("sourcePath");
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log.info("inputPath: {}", inputPath);
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final String outputPath = parser.get("outputPath");
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log.info("outputPath: {}", outputPath);
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final String resultClassName = parser.get("resultTableName");
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log.info("resultTableName: {}", resultClassName);
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final List<String> allowedsemrel = Arrays.asList(parser.get("allowedsemrels").split(";"));
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log.info("allowedSemRel: {}", new Gson().toJson(allowedsemrel));
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final String resultType = resultClassName.substring(resultClassName.lastIndexOf(".") + 1).toLowerCase();
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log.info("resultType: {}", resultType);
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Class<? extends Result> resultClazz = (Class<? extends Result>) Class.forName(resultClassName);
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SparkConf conf = new SparkConf();
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conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
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String inputRelationPath = inputPath + "/relation";
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log.info("inputRelationPath: {}", inputRelationPath);
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String inputResultPath = inputPath + "/" + resultType;
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log.info("inputResultPath: {}", inputResultPath);
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String outputResultPath = outputPath + "/" + resultType;
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log.info("outputResultPath: {}", outputResultPath);
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runWithSparkHiveSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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removeOutputDir(spark, outputPath);
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prepareInfo(
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spark, inputRelationPath, inputResultPath, outputResultPath, resultClazz, allowedsemrel);
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});
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}
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private static <R extends Result> void prepareInfo(
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SparkSession spark,
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String inputRelationPath,
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String inputResultPath,
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String outputResultPath,
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Class<R> resultClazz,
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List<String> allowedsemrel) {
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Dataset<Relation> relation = readPath(spark, inputRelationPath, Relation.class);
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relation.createOrReplaceTempView("relation");
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log.info("Reading Graph table from: {}", inputResultPath);
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Dataset<R> result = readPath(spark, inputResultPath, resultClazz);
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result.createOrReplaceTempView("result");
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String query = "SELECT target resultId, author authorList"
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+ " FROM (SELECT id, collect_set(named_struct('name', name, 'surname', surname, 'fullname', fullname, 'orcid', orcid)) author "
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+ " FROM ( "
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+ " SELECT DISTINCT id, MyT.fullname, MyT.name, MyT.surname, MyP.value orcid "
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+ " FROM result "
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+ " LATERAL VIEW EXPLODE (author) a AS MyT "
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+ " LATERAL VIEW EXPLODE (MyT.pid) p AS MyP "
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+ " WHERE lower(MyP.qualifier.classid) = '" + ModelConstants.ORCID + "' or "
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+ " lower(MyP.qualifier.classid) = '" + ModelConstants.ORCID_PENDING + "') tmp "
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+ " GROUP BY id) r_t "
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+ " JOIN ("
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+ " SELECT source, target "
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+ " FROM relation "
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+ " WHERE datainfo.deletedbyinference = false "
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+ getConstraintList(" lower(relclass) = '", allowedsemrel)
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+ " ) rel_rel "
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+ " ON source = id";
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log.info("executedQuery: {}", query);
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spark
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.sql(query)
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.as(Encoders.bean(ResultOrcidList.class))
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.write()
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.option("compression", "gzip")
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.mode(SaveMode.Overwrite)
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.json(outputResultPath);
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}
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}
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@ -1,95 +0,0 @@
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package eu.dnetlib.dhp.orcidtoresultfromsemrel;
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import static eu.dnetlib.dhp.PropagationConstant.*;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.util.HashSet;
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import java.util.Set;
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import org.apache.commons.io.IOUtils;
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import org.apache.hadoop.io.compress.GzipCodec;
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import org.apache.spark.SparkConf;
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import org.apache.spark.sql.*;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import scala.Tuple2;
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public class PrepareResultOrcidAssociationStep2 {
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private static final Logger log = LoggerFactory.getLogger(PrepareResultOrcidAssociationStep2.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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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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PrepareResultOrcidAssociationStep2.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/wf/subworkflows/orcidtoresultfromsemrel/input_prepareorcidtoresult_parameters2.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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parser.parseArgument(args);
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Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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String inputPath = parser.get("sourcePath");
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log.info("inputPath: {}", inputPath);
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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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removeOutputDir(spark, outputPath);
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mergeInfo(spark, inputPath, outputPath);
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});
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}
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private static void mergeInfo(SparkSession spark, String inputPath, String outputPath) {
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Dataset<ResultOrcidList> resultOrcidAssoc = readPath(spark, inputPath + "/publication", ResultOrcidList.class)
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.union(readPath(spark, inputPath + "/dataset", ResultOrcidList.class))
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.union(readPath(spark, inputPath + "/otherresearchproduct", ResultOrcidList.class))
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.union(readPath(spark, inputPath + "/software", ResultOrcidList.class));
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resultOrcidAssoc
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.toJavaRDD()
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.mapToPair(r -> new Tuple2<>(r.getResultId(), r))
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.reduceByKey(
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(a, b) -> {
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if (a == null) {
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return b;
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}
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if (b == null) {
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return a;
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}
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Set<String> orcid_set = new HashSet<>();
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a.getAuthorList().stream().forEach(aa -> orcid_set.add(aa.getOrcid()));
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b
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.getAuthorList()
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.stream()
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.forEach(
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aa -> {
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if (!orcid_set.contains(aa.getOrcid())) {
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a.getAuthorList().add(aa);
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orcid_set.add(aa.getOrcid());
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}
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});
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return a;
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})
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.map(Tuple2::_2)
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.map(r -> OBJECT_MAPPER.writeValueAsString(r))
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.saveAsTextFile(outputPath, GzipCodec.class);
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}
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}
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package eu.dnetlib.dhp.orcidtoresultfromsemrel;
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import java.io.Serializable;
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import java.util.ArrayList;
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import java.util.List;
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public class ResultOrcidList implements Serializable {
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String resultId;
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List<AutoritativeAuthor> authorList = new ArrayList<>();
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public String getResultId() {
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return resultId;
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}
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public void setResultId(String resultId) {
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this.resultId = resultId;
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}
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public List<AutoritativeAuthor> getAuthorList() {
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return authorList;
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}
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public void setAuthorList(List<AutoritativeAuthor> authorList) {
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this.authorList = authorList;
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}
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}
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@ -1,211 +0,0 @@
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package eu.dnetlib.dhp.orcidtoresultfromsemrel;
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import static eu.dnetlib.dhp.PropagationConstant.*;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.util.List;
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import java.util.Optional;
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import org.apache.commons.io.IOUtils;
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import org.apache.commons.lang3.StringUtils;
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import org.apache.spark.SparkConf;
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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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import com.google.common.collect.Lists;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.common.PacePerson;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.Author;
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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 scala.Tuple2;
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public class SparkOrcidToResultFromSemRelJob {
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private static final Logger log = LoggerFactory.getLogger(SparkOrcidToResultFromSemRelJob.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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SparkOrcidToResultFromSemRelJob.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/wf/subworkflows/orcidtoresultfromsemrel/input_orcidtoresult_parameters.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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parser.parseArgument(args);
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Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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final String inputPath = parser.get("sourcePath");
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log.info("inputPath: {}", inputPath);
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final String outputPath = parser.get("outputPath");
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log.info("outputPath: {}", outputPath);
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final String possibleUpdates = parser.get("possibleUpdatesPath");
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log.info("possibleUpdatesPath: {}", possibleUpdates);
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final String resultClassName = parser.get("resultTableName");
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log.info("resultTableName: {}", resultClassName);
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final Boolean saveGraph = Optional
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.ofNullable(parser.get("saveGraph"))
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.map(Boolean::valueOf)
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.orElse(Boolean.TRUE);
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log.info("saveGraph: {}", saveGraph);
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Class<? extends Result> resultClazz = (Class<? extends Result>) Class.forName(resultClassName);
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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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removeOutputDir(spark, outputPath);
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if (saveGraph) {
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execPropagation(spark, possibleUpdates, inputPath, outputPath, resultClazz);
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}
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});
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}
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private static <R extends Result> void execPropagation(
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SparkSession spark,
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String possibleUpdatesPath,
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String inputPath,
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String outputPath,
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Class<R> resultClazz) {
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// read possible updates (resultId and list of possible orcid to add
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Dataset<ResultOrcidList> possible_updates = readPath(spark, possibleUpdatesPath, ResultOrcidList.class);
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// read the result we have been considering
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Dataset<R> result = readPath(spark, inputPath, resultClazz);
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// make join result left_outer with possible updates
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result
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.joinWith(
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possible_updates,
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result.col("id").equalTo(possible_updates.col("resultId")),
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"left_outer")
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.map(authorEnrichFn(), Encoders.bean(resultClazz))
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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);
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}
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private static <R extends Result> MapFunction<Tuple2<R, ResultOrcidList>, R> authorEnrichFn() {
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return value -> {
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R ret = value._1();
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Optional<ResultOrcidList> rol = Optional.ofNullable(value._2());
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if (rol.isPresent() && Optional.ofNullable(ret.getAuthor()).isPresent()) {
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List<Author> toenrich_author = ret.getAuthor();
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List<AutoritativeAuthor> autoritativeAuthors = rol.get().getAuthorList();
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for (Author author : toenrich_author) {
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if (!containsAllowedPid(author)) {
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enrichAuthor(author, autoritativeAuthors);
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}
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}
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}
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return ret;
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};
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}
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private static void enrichAuthor(Author a, List<AutoritativeAuthor> au) {
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PacePerson pp = new PacePerson(a.getFullname(), false);
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for (AutoritativeAuthor aa : au) {
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if (enrichAuthor(aa, a, pp.getNormalisedFirstName(), pp.getNormalisedSurname())) {
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return;
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}
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}
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}
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private static boolean enrichAuthor(AutoritativeAuthor autoritative_author, Author author,
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String author_name,
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String author_surname) {
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boolean toaddpid = false;
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if (StringUtils.isNotEmpty(autoritative_author.getSurname())) {
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if (StringUtils.isNotEmpty(author.getSurname())) {
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author_surname = author.getSurname();
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}
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if (StringUtils.isNotEmpty(author_surname)) {
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// have the same surname. Check the name
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if (autoritative_author
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.getSurname()
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.trim()
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.equalsIgnoreCase(author_surname.trim()) && StringUtils.isNotEmpty(autoritative_author.getName())) {
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if (StringUtils.isNotEmpty(author.getName())) {
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author_name = author.getName();
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}
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if (StringUtils.isNotEmpty(author_name)) {
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if (autoritative_author
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.getName()
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.trim()
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.equalsIgnoreCase(author_name.trim())) {
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toaddpid = true;
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}
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// they could be differently written (i.e. only the initials of the name
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// in one of the two
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else {
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if (autoritative_author
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.getName()
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.trim()
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.substring(0, 0)
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.equalsIgnoreCase(author_name.trim().substring(0, 0))) {
|
||||
toaddpid = true;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
if (toaddpid) {
|
||||
StructuredProperty p = new StructuredProperty();
|
||||
p.setValue(autoritative_author.getOrcid());
|
||||
p
|
||||
.setQualifier(
|
||||
getQualifier(
|
||||
ModelConstants.ORCID_PENDING, ModelConstants.ORCID_CLASSNAME, ModelConstants.DNET_PID_TYPES));
|
||||
p
|
||||
.setDataInfo(
|
||||
getDataInfo(
|
||||
PROPAGATION_DATA_INFO_TYPE,
|
||||
PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_ID,
|
||||
PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_NAME,
|
||||
ModelConstants.DNET_PROVENANCE_ACTIONS));
|
||||
|
||||
Optional<List<StructuredProperty>> authorPid = Optional.ofNullable(author.getPid());
|
||||
if (authorPid.isPresent()) {
|
||||
authorPid.get().add(p);
|
||||
} else {
|
||||
author.setPid(Lists.newArrayList(p));
|
||||
}
|
||||
|
||||
}
|
||||
return toaddpid;
|
||||
}
|
||||
|
||||
private static boolean containsAllowedPid(Author a) {
|
||||
Optional<List<StructuredProperty>> pids = Optional.ofNullable(a.getPid());
|
||||
if (!pids.isPresent()) {
|
||||
return false;
|
||||
}
|
||||
for (StructuredProperty pid : pids.get()) {
|
||||
if (ModelConstants.ORCID_PENDING.equalsIgnoreCase(pid.getQualifier().getClassid()) ||
|
||||
ModelConstants.ORCID.equalsIgnoreCase(pid.getQualifier().getClassid())) {
|
||||
return true;
|
||||
}
|
||||
}
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,164 @@
|
|||
package eu.dnetlib.dhp.orcidtoresultfromsemrel;
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
import eu.dnetlib.dhp.schema.common.ModelSupport;
|
||||
import eu.dnetlib.dhp.schema.oaf.Author;
|
||||
import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||
import eu.dnetlib.dhp.schema.oaf.Result;
|
||||
import eu.dnetlib.dhp.utils.OrcidAuthor;
|
||||
import org.apache.commons.io.IOUtils;
|
||||
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.sql.*;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
import scala.Tuple2;
|
||||
|
||||
|
||||
import java.util.List;
|
||||
import java.util.Optional;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import static eu.dnetlib.dhp.PropagationConstant.isSparkSessionManaged;
|
||||
import static eu.dnetlib.dhp.PropagationConstant.removeOutputDir;
|
||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
|
||||
|
||||
public class SparkPrepareAuthorInfo {
|
||||
private static final Logger log = LoggerFactory.getLogger(SparkPrepareAuthorInfo.class);
|
||||
|
||||
public static void main(String[] args) throws Exception {
|
||||
String jsonConfiguration = IOUtils
|
||||
.toString(
|
||||
SparkPrepareAuthorInfo.class
|
||||
.getResourceAsStream(
|
||||
"/eu/dnetlib/dhp/wf/subworkflows/orcidtoresultfromsemrel/input_orcidtoresult_parameters.json"));
|
||||
|
||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
||||
parser.parseArgument(args);
|
||||
|
||||
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
||||
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
||||
|
||||
final String inputPath = parser.get("sourcePath");
|
||||
log.info("inputPath: {}", inputPath);
|
||||
|
||||
final String outputPath = parser.get("outputPath");
|
||||
log.info("outputPath: {}", outputPath);
|
||||
|
||||
SparkConf conf = new SparkConf();
|
||||
|
||||
runWithSparkSession(
|
||||
conf,
|
||||
isSparkSessionManaged,
|
||||
spark -> {
|
||||
removeOutputDir(spark, outputPath);
|
||||
createTemporaryData(spark, inputPath, outputPath);
|
||||
|
||||
}
|
||||
);
|
||||
}
|
||||
|
||||
private static void createTemporaryData(SparkSession spark, String inputPath, String outputPath) {
|
||||
ModelSupport.entityTypes
|
||||
.keySet().stream().filter(ModelSupport::isResult)
|
||||
.forEach(e -> {
|
||||
Dataset<Row> orcidDnet = spark.read().schema(Encoders.bean(Result.class).schema())
|
||||
.json(inputPath + e.name())
|
||||
.as(Encoders.bean(Result.class))
|
||||
.filter((FilterFunction<Result>) r -> r.getAuthor().stream()
|
||||
.anyMatch(a -> a.getPid()
|
||||
.stream()
|
||||
.anyMatch(p -> p.getQualifier().getClassid().equalsIgnoreCase(ModelConstants.ORCID) ||
|
||||
p.getQualifier().getClassid().equalsIgnoreCase(ModelConstants.ORCID_PENDING))))
|
||||
.map((MapFunction<Result, Tuple2<String, OrcidAuthors>>) r ->
|
||||
new Tuple2<>(r.getId(), getOrcidAuthorsList(r.getAuthor()))
|
||||
, Encoders.tuple(Encoders.STRING(), Encoders.bean(OrcidAuthors.class)))
|
||||
.selectExpr("_1 as id", "_2 as orcid_authors");
|
||||
|
||||
Dataset<Row> result = spark.read().schema(Encoders.bean(Result.class).schema())
|
||||
.json(inputPath + e.name())
|
||||
.as(Encoders.bean(Result.class))
|
||||
.selectExpr("id", "author as graph_authors");
|
||||
|
||||
Dataset<Row> supplements = spark.read()
|
||||
.schema(Encoders.bean(Relation.class).schema())
|
||||
.json(inputPath + "relation")
|
||||
.where("relclass IN('" + ModelConstants.IS_SUPPLEMENT_TO + "', '" +
|
||||
ModelConstants.IS_SUPPLEMENTED_BY + "')")
|
||||
.selectExpr("source as id", "target");
|
||||
|
||||
result
|
||||
.join(supplements, "id")
|
||||
.join(orcidDnet, orcidDnet.col("id").equalTo(supplements.col("target")))
|
||||
.drop("target")
|
||||
.write()
|
||||
.mode(SaveMode.Overwrite)
|
||||
.option("compression", "gzip")
|
||||
.parquet(outputPath + e.name() + "_unmatched");
|
||||
|
||||
});
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
|
||||
// override def createTemporaryData(graphPath: String, orcidPath: String, targetPath: String): Unit = {
|
||||
// val relEnc = Encoders.bean(classOf[Relation])
|
||||
//
|
||||
// ModelSupport.entityTypes.asScala
|
||||
// .filter(e => ModelSupport.isResult(e._1))
|
||||
// .foreach(e => {
|
||||
// val resultType = e._1.name()
|
||||
// val enc = Encoders.bean(e._2)
|
||||
//
|
||||
// val orcidDnet = spark.read
|
||||
// .load("$graphPath/$resultType")
|
||||
// .as[Result]
|
||||
// .map(
|
||||
// result =>
|
||||
// (
|
||||
// result.getId,
|
||||
// result.getAuthor.asScala.map(a => OrcidAuthor("extract ORCID", a.getSurname, a.getName, a.getFullname, null))
|
||||
// )
|
||||
// )
|
||||
// .where("size(_2) > 0")
|
||||
// .selectExpr("_1 as id", "_2 as orcid_authors")
|
||||
//
|
||||
// val result =
|
||||
// spark.read.schema(enc.schema).json(s"$graphPath/$resultType").selectExpr("id", "author as graph_authors")
|
||||
//
|
||||
// val supplements = spark.read.schema(relEnc.schema).json(s"$graphPath/relation").where("relclass IN('isSupplementedBy', 'isSupplementOf')").selectExpr("source as id", "target")
|
||||
//
|
||||
// result
|
||||
// .join(supplements, Seq("id"))
|
||||
// .join(orcidDnet, orcidDnet("id") === col("target"))
|
||||
// .drop("target")
|
||||
// .write
|
||||
// .mode(SaveMode.Overwrite)
|
||||
// .option("compression", "gzip")
|
||||
// .parquet(s"$targetPath/${resultType}_unmatched")
|
||||
// })
|
||||
// }
|
||||
|
||||
private static OrcidAuthors getOrcidAuthorsList(List<Author> authors) {
|
||||
OrcidAuthors oas = new OrcidAuthors();
|
||||
List<OrcidAuthor> tmp = authors.stream().map(SparkPrepareAuthorInfo::getOrcidAuthor).collect(Collectors.toList());
|
||||
oas.setOrcidAuthorList(tmp);
|
||||
return oas;
|
||||
}
|
||||
|
||||
private static OrcidAuthor getOrcidAuthor(Author a){
|
||||
return new OrcidAuthor(getOrcid(a),a.getSurname(), a.getName(), a.getFullname(), null);
|
||||
|
||||
}
|
||||
|
||||
private static String getOrcid(Author a){
|
||||
if (a.getPid().stream().anyMatch(p->p.getQualifier().getClassid().equalsIgnoreCase(ModelConstants.ORCID)))
|
||||
return a.getPid().stream().filter(p->p.getQualifier().getClassid().equalsIgnoreCase(ModelConstants.ORCID)).findFirst().get().getValue();
|
||||
return a.getPid().stream().filter(p->p.getQualifier().getClassid().equalsIgnoreCase(ModelConstants.ORCID_PENDING)).findFirst().get().getValue();
|
||||
|
||||
}
|
||||
}
|
||||
Loading…
Reference in New Issue