dnet-hadoop/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipaffiliations/PrepareAffiliationRelations...

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package eu.dnetlib.dhp.actionmanager.bipaffiliations;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;
import java.util.Arrays;
import java.util.List;
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import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
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import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
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import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.function.FlatMapFunction;
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import org.apache.spark.sql.*;
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import org.apache.spark.sql.Dataset;
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import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.actionmanager.Constants;
import eu.dnetlib.dhp.actionmanager.ror.GenerateRorActionSetJob;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.schema.action.AtomicAction;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.*;
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import eu.dnetlib.dhp.schema.oaf.utils.CleaningFunctions;
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
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import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import scala.Tuple2;
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/**
* Creates action sets for Crossref affiliation relations inferred by BIP!
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*/
public class PrepareAffiliationRelations implements Serializable {
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private static final Logger log = LoggerFactory.getLogger(PrepareAffiliationRelations.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static final String ID_PREFIX = "50|doi_________::";
public static final String BIP_AFFILIATIONS_CLASSID = "result:organization:bipinference";
public static final String BIP_AFFILIATIONS_CLASSNAME = "Affiliation relation inferred by BIP!";
public static final String BIP_INFERENCE_PROVENANCE = "bip:affiliation:crossref";
public static <I extends Result> void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
PrepareAffiliationRelations.class
.getResourceAsStream(
"/eu/dnetlib/dhp/actionmanager/bipaffiliations/input_actionset_parameter.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
Boolean isSparkSessionManaged = Constants.isSparkSessionManaged(parser);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String crossrefInputPath = parser.get("crossrefInputPath");
log.info("crossrefInputPath: {}", crossrefInputPath);
final String pubmedInputPath = parser.get("pubmedInputPath");
log.info("pubmedInputPath: {}", pubmedInputPath);
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final String openapcInputPath = parser.get("openapcInputPath");
log.info("openapcInputPath: {}", openapcInputPath);
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final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
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SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
Constants.removeOutputDir(spark, outputPath);
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List<KeyValue> collectedFromCrossref = OafMapperUtils
.listKeyValues(ModelConstants.CROSSREF_ID, "Crossref");
JavaPairRDD<Text, Text> crossrefRelations = prepareAffiliationRelations(
spark, crossrefInputPath, collectedFromCrossref);
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List<KeyValue> collectedFromPubmed = OafMapperUtils
.listKeyValues(ModelConstants.PUBMED_CENTRAL_ID, "Pubmed");
JavaPairRDD<Text, Text> pubmedRelations = prepareAffiliationRelations(
spark, pubmedInputPath, collectedFromPubmed);
List<KeyValue> collectedFromOpenAPC = OafMapperUtils
.listKeyValues(ModelConstants.OPEN_APC_ID, "OpenAPC");
JavaPairRDD<Text, Text> openAPCRelations = prepareAffiliationRelations(
spark, openapcInputPath, collectedFromOpenAPC);
crossrefRelations
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.union(pubmedRelations)
.union(openAPCRelations)
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.saveAsHadoopFile(
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
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});
}
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private static <I extends Result> JavaPairRDD<Text, Text> prepareAffiliationRelations(SparkSession spark,
String inputPath,
List<KeyValue> collectedfrom) {
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// load and parse affiliation relations from HDFS
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Dataset<Row> df = spark
.read()
.schema("`DOI` STRING, `Matchings` ARRAY<STRUCT<`RORid`:STRING,`Confidence`:DOUBLE>>")
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.json(inputPath);
// unroll nested arrays
df = df
.withColumn("matching", functions.explode(new Column("Matchings")))
.select(
new Column("DOI").as("doi"),
new Column("matching.RORid").as("rorid"),
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new Column("matching.Confidence").as("confidence"));
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// prepare action sets for affiliation relations
return df
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.toJavaRDD()
.flatMap((FlatMapFunction<Row, Relation>) row -> {
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// DOI to OpenAIRE id
final String paperId = ID_PREFIX
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+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", row.getAs("doi")));
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// ROR id to OpenAIRE id
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final String affId = GenerateRorActionSetJob.calculateOpenaireId(row.getAs("rorid"));
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Qualifier qualifier = OafMapperUtils
.qualifier(
BIP_AFFILIATIONS_CLASSID,
BIP_AFFILIATIONS_CLASSNAME,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS);
// format data info; setting `confidence` into relation's `trust`
DataInfo dataInfo = OafMapperUtils
.dataInfo(
false,
BIP_INFERENCE_PROVENANCE,
true,
false,
qualifier,
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Double.toString(row.getAs("confidence")));
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// return bi-directional relations
return getAffiliationRelationPair(paperId, affId, collectedfrom, dataInfo).iterator();
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})
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.map(p -> new AtomicAction(Relation.class, p))
.mapToPair(
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
new Text(OBJECT_MAPPER.writeValueAsString(aa))));
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}
private static List<Relation> getAffiliationRelationPair(String paperId, String affId, List<KeyValue> collectedfrom,
DataInfo dataInfo) {
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return Arrays
.asList(
OafMapperUtils
.getRelation(
paperId,
affId,
ModelConstants.RESULT_ORGANIZATION,
ModelConstants.AFFILIATION,
ModelConstants.HAS_AUTHOR_INSTITUTION,
collectedfrom,
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dataInfo,
null),
OafMapperUtils
.getRelation(
affId,
paperId,
ModelConstants.RESULT_ORGANIZATION,
ModelConstants.AFFILIATION,
ModelConstants.IS_AUTHOR_INSTITUTION_OF,
collectedfrom,
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dataInfo,
null));
}
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}