forked from D-Net/dnet-hadoop
Merge branch 'master' into nsprefix_blacklist
This commit is contained in:
commit
652b13abb6
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@ -7,6 +7,7 @@ import eu.dnetlib.dhp.schema.oaf.Qualifier;
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public class ModelConstants {
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public static final String DNET_SUBJECT_TYPOLOGIES = "dnet:subject_classification_typologies";
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public static final String DNET_RESULT_TYPOLOGIES = "dnet:result_typologies";
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public static final String DNET_PUBLICATION_RESOURCE = "dnet:publication_resource";
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public static final String DNET_ACCESS_MODES = "dnet:access_modes";
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@ -90,6 +90,7 @@ public class CleanGraphSparkJob {
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final CleaningRuleMap mapping = CleaningRuleMap.create(vocs);
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readTableFromPath(spark, inputPath, clazz)
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.map((MapFunction<T, T>) value -> fixVocabularyNames(value), Encoders.bean(clazz))
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.map((MapFunction<T, T>) value -> OafCleaner.apply(value, mapping), Encoders.bean(clazz))
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.map((MapFunction<T, T>) value -> fixDefaults(value), Encoders.bean(clazz))
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.write()
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@ -98,6 +99,65 @@ public class CleanGraphSparkJob {
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.json(outputPath);
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}
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protected static <T extends Oaf> T fixVocabularyNames(T value) {
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if (value instanceof Datasource) {
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// nothing to clean here
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} else if (value instanceof Project) {
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// nothing to clean here
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} else if (value instanceof Organization) {
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Organization o = (Organization) value;
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if (Objects.nonNull(o.getCountry())) {
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fixVocabName(o.getCountry(), ModelConstants.DNET_COUNTRY_TYPE);
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}
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} else if (value instanceof Relation) {
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// nothing to clean here
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} else if (value instanceof Result) {
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Result r = (Result) value;
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fixVocabName(r.getLanguage(), ModelConstants.DNET_LANGUAGES);
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fixVocabName(r.getResourcetype(), ModelConstants.DNET_DATA_CITE_RESOURCE);
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fixVocabName(r.getBestaccessright(), ModelConstants.DNET_ACCESS_MODES);
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if (Objects.nonNull(r.getSubject())) {
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r.getSubject().forEach(s -> fixVocabName(s.getQualifier(), ModelConstants.DNET_SUBJECT_TYPOLOGIES));
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}
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if (Objects.nonNull(r.getInstance())) {
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for (Instance i : r.getInstance()) {
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fixVocabName(i.getAccessright(), ModelConstants.DNET_ACCESS_MODES);
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fixVocabName(i.getRefereed(), ModelConstants.DNET_REVIEW_LEVELS);
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}
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}
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if (Objects.nonNull(r.getAuthor())) {
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r.getAuthor().forEach(a -> {
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if (Objects.nonNull(a.getPid())) {
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a.getPid().forEach(p -> {
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fixVocabName(p.getQualifier(), ModelConstants.DNET_PID_TYPES);
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});
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}
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});
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}
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if (value instanceof Publication) {
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} else if (value instanceof eu.dnetlib.dhp.schema.oaf.Dataset) {
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} else if (value instanceof OtherResearchProduct) {
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} else if (value instanceof Software) {
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}
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}
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return value;
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}
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private static void fixVocabName(Qualifier q, String vocabularyName) {
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if (Objects.nonNull(q) && StringUtils.isBlank(q.getSchemeid())) {
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q.setSchemeid(vocabularyName);
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q.setSchemename(vocabularyName);
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}
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}
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protected static <T extends Oaf> T fixDefaults(T value) {
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if (value instanceof Datasource) {
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// nothing to clean here
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@ -113,6 +173,9 @@ public class CleanGraphSparkJob {
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} else if (value instanceof Result) {
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Result r = (Result) value;
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if (Objects.nonNull(r.getPublisher()) && StringUtils.isBlank(r.getPublisher().getValue())) {
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r.setPublisher(null);
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}
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if (Objects.isNull(r.getLanguage()) || StringUtils.isBlank(r.getLanguage().getClassid())) {
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r
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.setLanguage(
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@ -41,28 +41,37 @@ object SparkSplitOafTODLIEntities {
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.getOrCreate()
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val OAFDataset:Dataset[Oaf] = spark.read.load(s"$workingPath/OAFDataset").as[Oaf]
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val OAFDataset:Dataset[Oaf] = spark.read.load(s"$workingPath/input/OAFDataset").as[Oaf]
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val ebi_dataset:Dataset[DLIDataset] = spark.read.load(s"$workingPath/ebi/baseline_dataset_ebi").as[DLIDataset]
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val ebi_publication:Dataset[DLIPublication] = spark.read.load(s"$workingPath/ebi/baseline_publication_ebi").as[DLIPublication]
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val ebi_relation:Dataset[DLIRelation] = spark.read.load(s"$workingPath/ebi/baseline_relation_ebi").as[DLIRelation]
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OAFDataset
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.filter(s => s != null && s.isInstanceOf[DLIPublication])
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.map(s =>s.asInstanceOf[DLIPublication])
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.union(ebi_publication)
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.map(d => (d.getId, d))(Encoders.tuple(Encoders.STRING, pubEncoder))
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.groupByKey(_._1)(Encoders.STRING)
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.agg(EBIAggregator.getDLIPublicationAggregator().toColumn)
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.map(p => p._2)
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.repartition(1000)
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.write.mode(SaveMode.Overwrite).save(s"$workingPath/publication")
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.write.mode(SaveMode.Overwrite).save(s"$workingPath/graph/publication")
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OAFDataset
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.filter(s => s != null && s.isInstanceOf[DLIDataset])
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.map(s =>s.asInstanceOf[DLIDataset])
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.union(ebi_dataset)
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.map(d => (d.getId, d))(Encoders.tuple(Encoders.STRING, datEncoder))
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.groupByKey(_._1)(Encoders.STRING)
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.agg(EBIAggregator.getDLIDatasetAggregator().toColumn)
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.map(p => p._2)
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.repartition(1000)
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.write.mode(SaveMode.Overwrite).save(s"$workingPath/dataset")
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.write.mode(SaveMode.Overwrite).save(s"$workingPath/graph/dataset")
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OAFDataset
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@ -73,18 +82,19 @@ object SparkSplitOafTODLIEntities {
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.agg(EBIAggregator.getDLIUnknownAggregator().toColumn)
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.map(p => p._2)
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.repartition(1000)
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.write.mode(SaveMode.Overwrite).save(s"$workingPath/unknown")
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.write.mode(SaveMode.Overwrite).save(s"$workingPath/graph/unknown")
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OAFDataset
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.filter(s => s != null && s.isInstanceOf[DLIRelation])
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.map(s =>s.asInstanceOf[DLIRelation])
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.union(ebi_relation)
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.map(d => (getKeyRelation(d), d))(Encoders.tuple(Encoders.STRING, relEncoder))
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.groupByKey(_._1)(Encoders.STRING)
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.agg(EBIAggregator.getDLIRelationAggregator().toColumn)
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.map(p => p._2)
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.repartition(1000)
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.write.mode(SaveMode.Overwrite).save(s"$workingPath/relation")
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.write.mode(SaveMode.Overwrite).save(s"$workingPath/graph/relation")
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@ -7,6 +7,8 @@ import static org.mockito.Mockito.lenient;
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import java.io.IOException;
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import java.util.List;
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import java.util.Set;
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import java.util.function.Predicate;
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import java.util.stream.Collectors;
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import java.util.stream.Stream;
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import org.apache.commons.io.IOUtils;
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@ -19,9 +21,7 @@ import org.mockito.junit.jupiter.MockitoExtension;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.oa.graph.raw.common.VocabularyGroup;
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import eu.dnetlib.dhp.schema.oaf.Publication;
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import eu.dnetlib.dhp.schema.oaf.Qualifier;
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import eu.dnetlib.dhp.schema.oaf.Result;
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import eu.dnetlib.dhp.schema.oaf.*;
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import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
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import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
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@ -62,10 +62,12 @@ public class CleaningFunctionTest {
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assertTrue(p_in instanceof Result);
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assertTrue(p_in instanceof Publication);
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Publication p_out = OafCleaner.apply(p_in, mapping);
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Publication p_out = OafCleaner.apply(CleanGraphSparkJob.fixVocabularyNames(p_in), mapping);
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assertNotNull(p_out);
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assertNotNull(p_out.getPublisher());
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assertNull(p_out.getPublisher().getValue());
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assertEquals("und", p_out.getLanguage().getClassid());
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assertEquals("Undetermined", p_out.getLanguage().getClassname());
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@ -88,6 +90,16 @@ public class CleaningFunctionTest {
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Publication p_defaults = CleanGraphSparkJob.fixDefaults(p_out);
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assertEquals("CLOSED", p_defaults.getBestaccessright().getClassid());
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assertNull(p_out.getPublisher());
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getAuthorPids(p_defaults).forEach(pid -> {
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System.out
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.println(
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String
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.format(
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"%s [%s - %s]", pid.getValue(), pid.getQualifier().getClassid(),
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pid.getQualifier().getClassname()));
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});
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// TODO add more assertions to verity the cleaned values
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System.out.println(MAPPER.writeValueAsString(p_out));
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@ -97,7 +109,7 @@ public class CleaningFunctionTest {
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*/
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}
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private Stream<Qualifier> getAuthorPidTypes(Publication pub) {
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private Stream<Qualifier> getAuthorPidTypes(Result pub) {
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return pub
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.getAuthor()
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.stream()
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@ -106,6 +118,14 @@ public class CleaningFunctionTest {
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.map(s -> s.getQualifier());
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}
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private Stream<StructuredProperty> getAuthorPids(Result pub) {
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return pub
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.getAuthor()
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.stream()
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.map(a -> a.getPid())
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.flatMap(p -> p.stream());
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}
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private List<String> vocs() throws IOException {
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return IOUtils
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.readLines(CleaningFunctionTest.class.getResourceAsStream("/eu/dnetlib/dhp/oa/graph/clean/terms.txt"));
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@ -59,6 +59,28 @@
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"schemename": "dnet:pid_types"
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},
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"value": "qwerty"
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},
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{
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"dataInfo": {
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"deletedbyinference": false,
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"inferenceprovenance": "",
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"inferred": false,
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"invisible": false,
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"provenanceaction": {
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"classid": "sysimport:crosswalk:datasetarchive",
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"classname": "sysimport:crosswalk:datasetarchive",
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"schemeid": "dnet:provenanceActions",
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"schemename": "dnet:provenanceActions"
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},
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"trust": "0.9"
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},
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"qualifier": {
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"classid": "ORCID",
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"classname": "ORCID",
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"schemeid": "",
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"schemename": ""
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},
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"value": "asdasd"
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}
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],
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"rank": 2,
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@ -186,6 +208,9 @@
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}
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],
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"bestaccessright": null,
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"publisher": {
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"value": null
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},
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"collectedfrom": [
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{
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"key": "10|CSC_________::a2b9ce8435390bcbfc05f3cae3948747",
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