added function to set the missing vocabulary names, used in the cleaning workflow as a pre-cleaning step
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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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@ -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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@ -62,7 +62,7 @@ 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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@ -89,6 +89,15 @@ 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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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 +106,7 @@ 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 +115,14 @@ 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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