diff --git a/dhp-common/src/main/java/eu/dnetlib/dhp/common/Constants.java b/dhp-common/src/main/java/eu/dnetlib/dhp/common/Constants.java new file mode 100644 index 0000000000..2b8ef4e300 --- /dev/null +++ b/dhp-common/src/main/java/eu/dnetlib/dhp/common/Constants.java @@ -0,0 +1,30 @@ + +package eu.dnetlib.dhp.common; + +import java.util.Map; + +import com.google.common.collect.Maps; + +public class Constants { + + public static final Map accessRightsCoarMap = Maps.newHashMap(); + public static final Map coarCodeLabelMap = Maps.newHashMap(); + + public static String COAR_ACCESS_RIGHT_SCHEMA = "http://vocabularies.coar-repositories.org/documentation/access_rights/"; + + static { + accessRightsCoarMap.put("OPEN", "c_abf2"); + accessRightsCoarMap.put("RESTRICTED", "c_16ec"); + accessRightsCoarMap.put("OPEN SOURCE", "c_abf2"); + accessRightsCoarMap.put("CLOSED", "c_14cb"); + accessRightsCoarMap.put("EMBARGO", "c_f1cf"); + } + + static { + coarCodeLabelMap.put("c_abf2", "OPEN"); + coarCodeLabelMap.put("c_16ec", "RESTRICTED"); + coarCodeLabelMap.put("c_14cb", "CLOSED"); + coarCodeLabelMap.put("c_f1cf", "EMBARGO"); + } + +} diff --git a/dhp-common/src/main/java/eu/dnetlib/dhp/common/GraphResultMapper.java b/dhp-common/src/main/java/eu/dnetlib/dhp/common/GraphResultMapper.java new file mode 100644 index 0000000000..44599eb83f --- /dev/null +++ b/dhp-common/src/main/java/eu/dnetlib/dhp/common/GraphResultMapper.java @@ -0,0 +1,412 @@ + +package eu.dnetlib.dhp.common; + +import java.io.Serializable; +import java.util.*; +import java.util.stream.Collectors; + +import eu.dnetlib.dhp.schema.common.ModelConstants; +import eu.dnetlib.dhp.schema.dump.oaf.*; +import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityInstance; +import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityResult; +import eu.dnetlib.dhp.schema.oaf.DataInfo; +import eu.dnetlib.dhp.schema.oaf.Field; +import eu.dnetlib.dhp.schema.oaf.Journal; +import eu.dnetlib.dhp.schema.oaf.StructuredProperty; + +public class GraphResultMapper implements Serializable { + + public static Result map( + E in) { + + CommunityResult out = new CommunityResult(); + + eu.dnetlib.dhp.schema.oaf.Result input = (eu.dnetlib.dhp.schema.oaf.Result) in; + Optional ort = Optional.ofNullable(input.getResulttype()); + if (ort.isPresent()) { + switch (ort.get().getClassid()) { + case "publication": + Optional journal = Optional + .ofNullable(((eu.dnetlib.dhp.schema.oaf.Publication) input).getJournal()); + if (journal.isPresent()) { + Journal j = journal.get(); + Container c = new Container(); + c.setConferencedate(j.getConferencedate()); + c.setConferenceplace(j.getConferenceplace()); + c.setEdition(j.getEdition()); + c.setEp(j.getEp()); + c.setIss(j.getIss()); + c.setIssnLinking(j.getIssnLinking()); + c.setIssnOnline(j.getIssnOnline()); + c.setIssnPrinted(j.getIssnPrinted()); + c.setName(j.getName()); + c.setSp(j.getSp()); + c.setVol(j.getVol()); + out.setContainer(c); + out.setType(ModelConstants.PUBLICATION_DEFAULT_RESULTTYPE.getClassname()); + } + break; + case "dataset": + eu.dnetlib.dhp.schema.oaf.Dataset id = (eu.dnetlib.dhp.schema.oaf.Dataset) input; + Optional.ofNullable(id.getSize()).ifPresent(v -> out.setSize(v.getValue())); + Optional.ofNullable(id.getVersion()).ifPresent(v -> out.setVersion(v.getValue())); + + out + .setGeolocation( + Optional + .ofNullable(id.getGeolocation()) + .map( + igl -> igl + .stream() + .filter(Objects::nonNull) + .map(gli -> { + GeoLocation gl = new GeoLocation(); + gl.setBox(gli.getBox()); + gl.setPlace(gli.getPlace()); + gl.setPoint(gli.getPoint()); + return gl; + }) + .collect(Collectors.toList())) + .orElse(null)); + + out.setType(ModelConstants.DATASET_DEFAULT_RESULTTYPE.getClassname()); + break; + case "software": + + eu.dnetlib.dhp.schema.oaf.Software is = (eu.dnetlib.dhp.schema.oaf.Software) input; + Optional + .ofNullable(is.getCodeRepositoryUrl()) + .ifPresent(value -> out.setCodeRepositoryUrl(value.getValue())); + Optional + .ofNullable(is.getDocumentationUrl()) + .ifPresent( + value -> out + .setDocumentationUrl( + value + .stream() + .map(v -> v.getValue()) + .collect(Collectors.toList()))); + + Optional + .ofNullable(is.getProgrammingLanguage()) + .ifPresent(value -> out.setProgrammingLanguage(value.getClassid())); + + out.setType(ModelConstants.SOFTWARE_DEFAULT_RESULTTYPE.getClassname()); + break; + case "other": + + eu.dnetlib.dhp.schema.oaf.OtherResearchProduct ir = (eu.dnetlib.dhp.schema.oaf.OtherResearchProduct) input; + out + .setContactgroup( + Optional + .ofNullable(ir.getContactgroup()) + .map(value -> value.stream().map(cg -> cg.getValue()).collect(Collectors.toList())) + .orElse(null)); + + out + .setContactperson( + Optional + .ofNullable(ir.getContactperson()) + .map(value -> value.stream().map(cp -> cp.getValue()).collect(Collectors.toList())) + .orElse(null)); + out + .setTool( + Optional + .ofNullable(ir.getTool()) + .map(value -> value.stream().map(t -> t.getValue()).collect(Collectors.toList())) + .orElse(null)); + + out.setType(ModelConstants.ORP_DEFAULT_RESULTTYPE.getClassname()); + + break; + } + + Optional + .ofNullable(input.getAuthor()) + .ifPresent(ats -> out.setAuthor(ats.stream().map(at -> getAuthor(at)).collect(Collectors.toList()))); + + // I do not map Access Right UNKNOWN or OTHER + + Optional oar = Optional.ofNullable(input.getBestaccessright()); + if (oar.isPresent()) { + if (Constants.accessRightsCoarMap.containsKey(oar.get().getClassid())) { + String code = Constants.accessRightsCoarMap.get(oar.get().getClassid()); + out + .setBestaccessright( + AccessRight + .newInstance( + code, + Constants.coarCodeLabelMap.get(code), + Constants.COAR_ACCESS_RIGHT_SCHEMA)); + } + } + + final List contributorList = new ArrayList<>(); + Optional + .ofNullable(input.getContributor()) + .ifPresent(value -> value.stream().forEach(c -> contributorList.add(c.getValue()))); + out.setContributor(contributorList); + + Optional + .ofNullable(input.getCountry()) + .ifPresent( + value -> out + .setCountry( + value + .stream() + .map( + c -> { + if (c.getClassid().equals((ModelConstants.UNKNOWN))) { + return null; + } + Country country = new Country(); + country.setCode(c.getClassid()); + country.setLabel(c.getClassname()); + Optional + .ofNullable(c.getDataInfo()) + .ifPresent( + provenance -> country + .setProvenance( + Provenance + .newInstance( + provenance + .getProvenanceaction() + .getClassname(), + c.getDataInfo().getTrust()))); + return country; + }) + .filter(Objects::nonNull) + .collect(Collectors.toList()))); + + final List coverageList = new ArrayList<>(); + Optional + .ofNullable(input.getCoverage()) + .ifPresent(value -> value.stream().forEach(c -> coverageList.add(c.getValue()))); + out.setCoverage(coverageList); + + out.setDateofcollection(input.getDateofcollection()); + + final List descriptionList = new ArrayList<>(); + Optional + .ofNullable(input.getDescription()) + .ifPresent(value -> value.forEach(d -> descriptionList.add(d.getValue()))); + out.setDescription(descriptionList); + Optional> oStr = Optional.ofNullable(input.getEmbargoenddate()); + if (oStr.isPresent()) { + out.setEmbargoenddate(oStr.get().getValue()); + } + + final List formatList = new ArrayList<>(); + Optional + .ofNullable(input.getFormat()) + .ifPresent(value -> value.stream().forEach(f -> formatList.add(f.getValue()))); + out.setFormat(formatList); + out.setId(input.getId()); + out.setOriginalId(input.getOriginalId()); + + Optional> oInst = Optional + .ofNullable(input.getInstance()); + + if (oInst.isPresent()) { + out + .setInstance( + oInst.get().stream().map(i -> getInstance(i)).collect(Collectors.toList())); + + } + + Optional oL = Optional.ofNullable(input.getLanguage()); + if (oL.isPresent()) { + eu.dnetlib.dhp.schema.oaf.Qualifier language = oL.get(); + out.setLanguage(Qualifier.newInstance(language.getClassid(), language.getClassname())); + } + Optional oLong = Optional.ofNullable(input.getLastupdatetimestamp()); + if (oLong.isPresent()) { + out.setLastupdatetimestamp(oLong.get()); + } + Optional> otitle = Optional.ofNullable(input.getTitle()); + if (otitle.isPresent()) { + List iTitle = otitle + .get() + .stream() + .filter(t -> t.getQualifier().getClassid().equalsIgnoreCase("main title")) + .collect(Collectors.toList()); + if (iTitle.size() > 0) { + out.setMaintitle(iTitle.get(0).getValue()); + } + + iTitle = otitle + .get() + .stream() + .filter(t -> t.getQualifier().getClassid().equalsIgnoreCase("subtitle")) + .collect(Collectors.toList()); + if (iTitle.size() > 0) { + out.setSubtitle(iTitle.get(0).getValue()); + } + + } + + List pids = new ArrayList<>(); + Optional + .ofNullable(input.getPid()) + .ifPresent( + value -> value + .stream() + .forEach( + p -> pids + .add( + ControlledField + .newInstance(p.getQualifier().getClassid(), p.getValue())))); + out.setPid(pids); + oStr = Optional.ofNullable(input.getDateofacceptance()); + if (oStr.isPresent()) { + out.setPublicationdate(oStr.get().getValue()); + } + oStr = Optional.ofNullable(input.getPublisher()); + if (oStr.isPresent()) { + out.setPublisher(oStr.get().getValue()); + } + + List sourceList = new ArrayList<>(); + Optional + .ofNullable(input.getSource()) + .ifPresent(value -> value.stream().forEach(s -> sourceList.add(s.getValue()))); + // out.setSource(input.getSource().stream().map(s -> s.getValue()).collect(Collectors.toList())); + List subjectList = new ArrayList<>(); + Optional + .ofNullable(input.getSubject()) + .ifPresent( + value -> value + .forEach(s -> subjectList.add(getSubject(s)))); + + out.setSubjects(subjectList); + + out.setType(input.getResulttype().getClassid()); + } + + out + .setCollectedfrom( + input + .getCollectedfrom() + .stream() + .map(cf -> KeyValue.newInstance(cf.getKey(), cf.getValue())) + .collect(Collectors.toList())); + + return out; + + } + + private static CommunityInstance getInstance(eu.dnetlib.dhp.schema.oaf.Instance i) { + CommunityInstance instance = new CommunityInstance(); + + setCommonValue(i, instance); + + instance + .setCollectedfrom( + KeyValue + .newInstance(i.getCollectedfrom().getKey(), i.getCollectedfrom().getValue())); + + instance + .setHostedby( + KeyValue.newInstance(i.getHostedby().getKey(), i.getHostedby().getValue())); + + return instance; + + } + + private static void setCommonValue(eu.dnetlib.dhp.schema.oaf.Instance i, I instance) { + Optional opAr = Optional + .ofNullable(i.getAccessright()); + if (opAr.isPresent()) { + if (Constants.accessRightsCoarMap.containsKey(opAr.get().getClassid())) { + String code = Constants.accessRightsCoarMap.get(opAr.get().getClassid()); + instance + .setAccessright( + AccessRight + .newInstance( + code, + Constants.coarCodeLabelMap.get(code), + Constants.COAR_ACCESS_RIGHT_SCHEMA)); + } + } + + Optional + .ofNullable(i.getLicense()) + .ifPresent(value -> instance.setLicense(value.getValue())); + Optional + .ofNullable(i.getDateofacceptance()) + .ifPresent(value -> instance.setPublicationdate(value.getValue())); + Optional + .ofNullable(i.getRefereed()) + .ifPresent(value -> instance.setRefereed(value.getClassname())); + Optional + .ofNullable(i.getInstancetype()) + .ifPresent(value -> instance.setType(value.getClassname())); + Optional.ofNullable(i.getUrl()).ifPresent(value -> instance.setUrl(value)); + + } + + private static Subject getSubject(StructuredProperty s) { + Subject subject = new Subject(); + subject.setSubject(ControlledField.newInstance(s.getQualifier().getClassid(), s.getValue())); + Optional di = Optional.ofNullable(s.getDataInfo()); + if (di.isPresent()) { + Provenance p = new Provenance(); + p.setProvenance(di.get().getProvenanceaction().getClassname()); + p.setTrust(di.get().getTrust()); + subject.setProvenance(p); + } + + return subject; + } + + private static Author getAuthor(eu.dnetlib.dhp.schema.oaf.Author oa) { + Author a = new Author(); + a.setFullname(oa.getFullname()); + a.setName(oa.getName()); + a.setSurname(oa.getSurname()); + a.setRank(oa.getRank()); + + Optional> oPids = Optional + .ofNullable(oa.getPid()); + if (oPids.isPresent()) { + Pid pid = getOrcid(oPids.get()); + if (pid != null) { + a.setPid(pid); + } + } + + return a; + } + + private static Pid getOrcid(List p) { + for (StructuredProperty pid : p) { + if (pid.getQualifier().getClassid().equals(ModelConstants.ORCID)) { + Optional di = Optional.ofNullable(pid.getDataInfo()); + if (di.isPresent()) { + return Pid + .newInstance( + ControlledField + .newInstance( + pid.getQualifier().getClassid(), + pid.getValue()), + Provenance + .newInstance( + di.get().getProvenanceaction().getClassname(), + di.get().getTrust())); + } else { + return Pid + .newInstance( + ControlledField + .newInstance( + pid.getQualifier().getClassid(), + pid.getValue()) + + ); + } + + } + } + return null; + } + +} diff --git a/dhp-common/src/main/java/eu/dnetlib/dhp/common/MakeTarArchive.java b/dhp-common/src/main/java/eu/dnetlib/dhp/common/MakeTarArchive.java index 4047fdca4f..76017d5b70 100644 --- a/dhp-common/src/main/java/eu/dnetlib/dhp/common/MakeTarArchive.java +++ b/dhp-common/src/main/java/eu/dnetlib/dhp/common/MakeTarArchive.java @@ -90,9 +90,6 @@ public class MakeTarArchive implements Serializable { String p_string = p.toString(); if (!p_string.endsWith("_SUCCESS")) { String name = p_string.substring(p_string.lastIndexOf("/") + 1); - if (name.trim().equalsIgnoreCase("communities_infrastructures")) { - name = "communities_infrastructures.json"; - } TarArchiveEntry entry = new TarArchiveEntry(dir_name + "/" + name); entry.setSize(fileStatus.getLen()); current_size += fileStatus.getLen(); diff --git a/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Oaf.java b/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Oaf.java index 3496492e8e..f4f5baa7bb 100644 --- a/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Oaf.java +++ b/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Oaf.java @@ -2,8 +2,12 @@ package eu.dnetlib.dhp.schema.oaf; import java.io.Serializable; +import java.util.Collection; import java.util.List; import java.util.Objects; +import java.util.Optional; +import java.util.stream.Collectors; +import java.util.stream.Stream; public abstract class Oaf implements Serializable { @@ -40,9 +44,36 @@ public abstract class Oaf implements Serializable { this.lastupdatetimestamp = lastupdatetimestamp; } - public void mergeOAFDataInfo(Oaf e) { - if (e.getDataInfo() != null && compareTrust(this, e) < 0) - dataInfo = e.getDataInfo(); + public void mergeFrom(Oaf o) { + if (Objects.isNull(o)) { + return; + } + setCollectedfrom( + Stream + .concat( + Optional + .ofNullable(getCollectedfrom()) + .map(Collection::stream) + .orElse(Stream.empty()), + Optional + .ofNullable(o.getCollectedfrom()) + .map(Collection::stream) + .orElse(Stream.empty())) + .distinct() // relies on KeyValue.equals + .collect(Collectors.toList())); + + mergeOAFDataInfo(o); + + setLastupdatetimestamp( + Math + .max( + Optional.ofNullable(getLastupdatetimestamp()).orElse(0L), + Optional.ofNullable(o.getLastupdatetimestamp()).orElse(0L))); + } + + public void mergeOAFDataInfo(Oaf o) { + if (o.getDataInfo() != null && compareTrust(this, o) < 0) + dataInfo = o.getDataInfo(); } protected String extractTrust(Oaf e) { @@ -62,7 +93,7 @@ public abstract class Oaf implements Serializable { if (o == null || getClass() != o.getClass()) return false; Oaf oaf = (Oaf) o; - return Objects.equals(dataInfo, oaf.dataInfo) + return Objects.equals(getDataInfo(), oaf.getDataInfo()) && Objects.equals(lastupdatetimestamp, oaf.lastupdatetimestamp); } diff --git a/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/OafEntity.java b/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/OafEntity.java index 2823ee49dd..17c3e6bddc 100644 --- a/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/OafEntity.java +++ b/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/OafEntity.java @@ -78,14 +78,10 @@ public abstract class OafEntity extends Oaf implements Serializable { } public void mergeFrom(OafEntity e) { - - if (e == null) - return; + super.mergeFrom(e); originalId = mergeLists(originalId, e.getOriginalId()); - collectedfrom = mergeLists(collectedfrom, e.getCollectedfrom()); - pid = mergeLists(pid, e.getPid()); if (e.getDateofcollection() != null && compareTrust(this, e) < 0) diff --git a/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Relation.java b/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Relation.java index 17a50d7aca..0de34dbecc 100644 --- a/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Relation.java +++ b/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Relation.java @@ -130,19 +130,7 @@ public class Relation extends Oaf { Objects.equals(getSubRelType(), r.getSubRelType()), "subRelType(s) must be equal"); checkArgument(Objects.equals(getRelClass(), r.getRelClass()), "relClass(es) must be equal"); - setCollectedfrom( - Stream - .concat( - Optional - .ofNullable(getCollectedfrom()) - .map(Collection::stream) - .orElse(Stream.empty()), - Optional - .ofNullable(r.getCollectedfrom()) - .map(Collection::stream) - .orElse(Stream.empty())) - .distinct() // relies on KeyValue.equals - .collect(Collectors.toList())); + super.mergeFrom(r); } @Override diff --git a/dhp-workflows/dhp-enrichment/src/test/java/eu/dnetlib/dhp/orcidtoresultfromsemrel/OrcidPropagationJobTest.java b/dhp-workflows/dhp-enrichment/src/test/java/eu/dnetlib/dhp/orcidtoresultfromsemrel/OrcidPropagationJobTest.java index ba50f9bc5e..238375197f 100644 --- a/dhp-workflows/dhp-enrichment/src/test/java/eu/dnetlib/dhp/orcidtoresultfromsemrel/OrcidPropagationJobTest.java +++ b/dhp-workflows/dhp-enrichment/src/test/java/eu/dnetlib/dhp/orcidtoresultfromsemrel/OrcidPropagationJobTest.java @@ -170,6 +170,7 @@ public class OrcidPropagationJobTest { .filter( "id = '50|dedup_wf_001::95b033c0c3961f6a1cdcd41a99a9632e' " + "and name = 'Vajinder' and surname = 'Kumar' and pidType = '" + + ModelConstants.ORCID_PENDING + "'") .count()); diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/Constants.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/Constants.java index a466cf0742..86a275ae22 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/Constants.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/Constants.java @@ -40,4 +40,18 @@ public class Constants { coarCodeLabelMap.put("c_14cb", "CLOSED"); coarCodeLabelMap.put("c_f1cf", "EMBARGO"); } + + public enum DUMPTYPE { + COMPLETE("complete"), COMMUNITY("community"), FUNDER("funder"); + + private String type; + + DUMPTYPE(String type) { + this.type = type; + } + + public String getType() { + return type; + } + } } diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/DumpProducts.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/DumpProducts.java index 1279ede533..d20a3036e8 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/DumpProducts.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/DumpProducts.java @@ -11,17 +11,12 @@ import java.util.Set; import java.util.stream.Collectors; 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.Dataset; import org.apache.spark.sql.Encoders; import org.apache.spark.sql.SaveMode; import org.apache.spark.sql.SparkSession; -import eu.dnetlib.dhp.oa.graph.dump.ResultMapper; -import eu.dnetlib.dhp.oa.graph.dump.Utils; import eu.dnetlib.dhp.oa.graph.dump.community.CommunityMap; -import eu.dnetlib.dhp.schema.dump.oaf.graph.ResearchInitiative; import eu.dnetlib.dhp.schema.oaf.*; /** @@ -33,7 +28,7 @@ public class DumpProducts implements Serializable { public void run(Boolean isSparkSessionManaged, String inputPath, String outputPath, String communityMapPath, Class inputClazz, Class outputClazz, - boolean graph) { + String dumpType) { SparkConf conf = new SparkConf(); @@ -42,7 +37,7 @@ public class DumpProducts implements Serializable { isSparkSessionManaged, spark -> { Utils.removeOutputDir(spark, outputPath); - execDump(spark, inputPath, outputPath, communityMapPath, inputClazz, outputClazz, graph); + execDump(spark, inputPath, outputPath, communityMapPath, inputClazz, outputClazz, dumpType); }); } @@ -53,13 +48,13 @@ public class DumpProducts implements Serializable { String communityMapPath, Class inputClazz, Class outputClazz, - boolean graph) { + String dumpType) { CommunityMap communityMap = Utils.getCommunityMap(spark, communityMapPath); Utils .readPath(spark, inputPath, inputClazz) - .map((MapFunction) value -> execMap(value, communityMap, graph), Encoders.bean(outputClazz)) + .map((MapFunction) value -> execMap(value, communityMap, dumpType), Encoders.bean(outputClazz)) .filter(Objects::nonNull) .write() .mode(SaveMode.Overwrite) @@ -70,18 +65,18 @@ public class DumpProducts implements Serializable { private static O execMap(I value, CommunityMap communityMap, - boolean graph) { + String dumpType) { Optional odInfo = Optional.ofNullable(value.getDataInfo()); if (odInfo.isPresent()) { - if (odInfo.get().getDeletedbyinference()) { + if (odInfo.get().getDeletedbyinference() || odInfo.get().getInvisible()) { return null; } } else { return null; } - if (!graph) { + if (Constants.DUMPTYPE.COMMUNITY.getType().equals(dumpType)) { Set communities = communityMap.keySet(); Optional> inputContext = Optional @@ -102,7 +97,8 @@ public class DumpProducts implements Serializable { return null; } } - return (O) ResultMapper.map(value, communityMap, graph); + + return (O) ResultMapper.map(value, communityMap, dumpType); } } diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/ResultMapper.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/ResultMapper.java index 4c3bc0dd52..cb052ebaa8 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/ResultMapper.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/ResultMapper.java @@ -21,10 +21,10 @@ import eu.dnetlib.dhp.schema.oaf.StructuredProperty; public class ResultMapper implements Serializable { public static Result map( - E in, Map communityMap, boolean graph) { + E in, Map communityMap, String dumpType) { Result out; - if (graph) { + if (Constants.DUMPTYPE.COMPLETE.getType().equals(dumpType)) { out = new GraphResult(); } else { out = new CommunityResult(); @@ -217,7 +217,7 @@ public class ResultMapper implements Serializable { .ofNullable(input.getInstance()); if (oInst.isPresent()) { - if (graph) { + if (Constants.DUMPTYPE.COMPLETE.getType().equals(dumpType)) { ((GraphResult) out) .setInstance(oInst.get().stream().map(i -> getGraphInstance(i)).collect(Collectors.toList())); } else { @@ -296,7 +296,7 @@ public class ResultMapper implements Serializable { out.setType(input.getResulttype().getClassid()); } - if (!graph) { + if (!Constants.DUMPTYPE.COMPLETE.getType().equals(dumpType)) { ((CommunityResult) out) .setCollectedfrom( input diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/community/CommunitySplit.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/community/CommunitySplit.java index 6be1befce1..55f075e954 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/community/CommunitySplit.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/community/CommunitySplit.java @@ -9,6 +9,7 @@ import java.util.Set; import java.util.stream.Collectors; import org.apache.spark.SparkConf; +import org.apache.spark.api.java.function.FilterFunction; import org.apache.spark.sql.Dataset; import org.apache.spark.sql.SaveMode; import org.apache.spark.sql.SparkSession; @@ -54,7 +55,7 @@ public class CommunitySplit implements Serializable { private static void printResult(String c, Dataset result, String outputPath) { Dataset community_products = result - .filter(r -> containsCommunity(r, c)); + .filter((FilterFunction) r -> containsCommunity(r, c)); try { community_products.first(); diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/community/SparkDumpCommunityProducts.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/community/SparkDumpCommunityProducts.java index c4b89936ff..63970d14bc 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/community/SparkDumpCommunityProducts.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/community/SparkDumpCommunityProducts.java @@ -4,12 +4,15 @@ package eu.dnetlib.dhp.oa.graph.dump.community; import java.io.Serializable; import java.util.*; +import javax.swing.text.html.Option; + import org.apache.commons.io.IOUtils; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import eu.dnetlib.dhp.application.ArgumentApplicationParser; import eu.dnetlib.dhp.oa.graph.dump.DumpProducts; +import eu.dnetlib.dhp.oa.graph.dump.Utils; import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityResult; import eu.dnetlib.dhp.schema.oaf.Result; @@ -48,6 +51,11 @@ public class SparkDumpCommunityProducts implements Serializable { String communityMapPath = parser.get("communityMapPath"); + final String dumpType = Optional + .ofNullable(parser.get("dumpType")) + .map(String::valueOf) + .orElse("community"); + Class inputClazz = (Class) Class.forName(resultClassName); DumpProducts dump = new DumpProducts(); @@ -55,7 +63,7 @@ public class SparkDumpCommunityProducts implements Serializable { dump .run( isSparkSessionManaged, inputPath, outputPath, communityMapPath, inputClazz, CommunityResult.class, - false); + dumpType); } diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/community/SparkPrepareResultProject.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/community/SparkPrepareResultProject.java index 39850b5b8e..2d43888b46 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/community/SparkPrepareResultProject.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/community/SparkPrepareResultProject.java @@ -34,7 +34,7 @@ import scala.Tuple2; /** * Preparation of the Project information to be added to the dumped results. For each result associated to at least one - * Project, a serialization of an instance af ResultProject closs is done. ResultProject contains the resultId, and the + * Project, a serialization of an instance af ResultProject class is done. ResultProject contains the resultId, and the * list of Projects (as in eu.dnetlib.dhp.schema.dump.oaf.community.Project) it is associated to */ public class SparkPrepareResultProject implements Serializable { @@ -76,16 +76,16 @@ public class SparkPrepareResultProject implements Serializable { private static void prepareResultProjectList(SparkSession spark, String inputPath, String outputPath) { Dataset relation = Utils .readPath(spark, inputPath + "/relation", Relation.class) - .filter("dataInfo.deletedbyinference = false and relClass = 'produces'"); + .filter("dataInfo.deletedbyinference = false and lower(relClass) = 'isproducedby'"); Dataset projects = Utils .readPath(spark, inputPath + "/project", eu.dnetlib.dhp.schema.oaf.Project.class); projects - .joinWith(relation, projects.col("id").equalTo(relation.col("source"))) + .joinWith(relation, projects.col("id").equalTo(relation.col("target")), "inner") .groupByKey( (MapFunction, String>) value -> value ._2() - .getTarget(), + .getSource(), Encoders.STRING()) .mapGroups( (MapGroupsFunction, ResultProject>) (s, @@ -93,7 +93,7 @@ public class SparkPrepareResultProject implements Serializable { Set projectSet = new HashSet<>(); Tuple2 first = it.next(); ResultProject rp = new ResultProject(); - rp.setResultId(first._2().getTarget()); + rp.setResultId(s); eu.dnetlib.dhp.schema.oaf.Project p = first._1(); projectSet.add(p.getId()); Project ps = getProject(p); diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/community/SparkUpdateProjectInfo.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/community/SparkUpdateProjectInfo.java index 1276d8495e..2b80b1d861 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/community/SparkUpdateProjectInfo.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/community/SparkUpdateProjectInfo.java @@ -8,6 +8,7 @@ import java.util.Optional; import org.apache.commons.io.IOUtils; import org.apache.spark.SparkConf; +import org.apache.spark.api.java.function.MapFunction; import org.apache.spark.sql.Dataset; import org.apache.spark.sql.Encoders; import org.apache.spark.sql.SaveMode; @@ -20,6 +21,7 @@ import com.fasterxml.jackson.databind.ObjectMapper; import eu.dnetlib.dhp.application.ArgumentApplicationParser; import eu.dnetlib.dhp.oa.graph.dump.Utils; import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityResult; +import scala.Tuple2; public class SparkUpdateProjectInfo implements Serializable { @@ -73,7 +75,7 @@ public class SparkUpdateProjectInfo implements Serializable { .joinWith( resultProject, result.col("id").equalTo(resultProject.col("resultId")), "left") - .map(value -> { + .map((MapFunction, CommunityResult>) value -> { CommunityResult r = value._1(); Optional.ofNullable(value._2()).ifPresent(rp -> { r.setProjects(rp.getProjectsList()); diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/complete/CreateContextEntities.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/complete/CreateContextEntities.java index 23224f8dba..ccb84c7138 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/complete/CreateContextEntities.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/complete/CreateContextEntities.java @@ -1,22 +1,25 @@ package eu.dnetlib.dhp.oa.graph.dump.complete; -import java.io.BufferedWriter; -import java.io.IOException; -import java.io.OutputStreamWriter; -import java.io.Serializable; +import java.io.*; import java.nio.charset.StandardCharsets; import java.util.function.Consumer; import java.util.function.Function; +import org.apache.commons.crypto.utils.IoUtils; import org.apache.commons.io.IOUtils; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FSDataOutputStream; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; +import org.apache.hadoop.io.compress.CompressionCodec; +import org.apache.hadoop.io.compress.CompressionCodecFactory; +import org.apache.hadoop.io.compress.CompressionOutputStream; import org.slf4j.Logger; import org.slf4j.LoggerFactory; +import com.fasterxml.jackson.databind.ObjectMapper; + import eu.dnetlib.dhp.application.ArgumentApplicationParser; import eu.dnetlib.dhp.oa.graph.dump.Utils; import eu.dnetlib.dhp.schema.dump.oaf.graph.ResearchInitiative; @@ -76,8 +79,11 @@ public class CreateContextEntities implements Serializable { } else { fsDataOutputStream = fileSystem.create(hdfsWritePath); } + CompressionCodecFactory factory = new CompressionCodecFactory(conf); + CompressionCodec codec = factory.getCodecByClassName("org.apache.hadoop.io.compress.GzipCodec"); - this.writer = new BufferedWriter(new OutputStreamWriter(fsDataOutputStream, StandardCharsets.UTF_8)); + this.writer = new BufferedWriter(new OutputStreamWriter(codec.createOutputStream(fsDataOutputStream), + StandardCharsets.UTF_8)); } diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/complete/DumpGraphEntities.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/complete/DumpGraphEntities.java index 773068dfb2..36ced3a4ab 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/complete/DumpGraphEntities.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/complete/DumpGraphEntities.java @@ -49,7 +49,7 @@ public class DumpGraphEntities implements Serializable { d .run( isSparkSessionManaged, inputPath, outputPath, communityMapPath, inputClazz, GraphResult.class, - true); + eu.dnetlib.dhp.oa.graph.dump.Constants.DUMPTYPE.COMPLETE.getType()); break; case "40": runWithSparkSession( diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/funderresults/SparkDumpFunderResults.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/funderresults/SparkDumpFunderResults.java new file mode 100644 index 0000000000..00f604b14b --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/funderresults/SparkDumpFunderResults.java @@ -0,0 +1,130 @@ + +package eu.dnetlib.dhp.oa.graph.dump.funderresults; + +import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession; + +import java.io.Serializable; +import java.util.*; + +import org.apache.commons.io.IOUtils; +import org.apache.spark.SparkConf; +import org.apache.spark.api.java.function.MapFunction; +import org.apache.spark.sql.*; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import eu.dnetlib.dhp.application.ArgumentApplicationParser; +import eu.dnetlib.dhp.common.api.zenodo.Community; +import eu.dnetlib.dhp.oa.graph.dump.Constants; +import eu.dnetlib.dhp.oa.graph.dump.ResultMapper; +import eu.dnetlib.dhp.oa.graph.dump.Utils; +import eu.dnetlib.dhp.oa.graph.dump.community.CommunityMap; +import eu.dnetlib.dhp.schema.common.ModelConstants; +import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityResult; +import eu.dnetlib.dhp.schema.dump.oaf.community.Project; +import eu.dnetlib.dhp.schema.oaf.Relation; +import scala.Tuple2; + +/** + * Splits the dumped results by funder and stores them in a folder named as the funder nsp (for all the funders, but the EC + * for the EC it specifies also the fundingStream (FP7 or H2020) + */ +public class SparkDumpFunderResults implements Serializable { + private static final Logger log = LoggerFactory.getLogger(SparkDumpFunderResults.class); + + public static void main(String[] args) throws Exception { + String jsonConfiguration = IOUtils + .toString( + SparkDumpFunderResults.class + .getResourceAsStream( + "/eu/dnetlib/dhp/oa/graph/dump/funder_result_parameters.json")); + + final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration); + parser.parseArgument(args); + + Boolean isSparkSessionManaged = Optional + .ofNullable(parser.get("isSparkSessionManaged")) + .map(Boolean::valueOf) + .orElse(Boolean.TRUE); + log.info("isSparkSessionManaged: {}", isSparkSessionManaged); + + final String inputPath = parser.get("sourcePath"); + log.info("inputPath: {}", inputPath); + + final String outputPath = parser.get("outputPath"); + log.info("outputPath: {}", outputPath); + + final String relationPath = parser.get("relationPath"); + log.info("relationPath: {}", relationPath); + + SparkConf conf = new SparkConf(); + + runWithSparkSession( + conf, + isSparkSessionManaged, + spark -> { + Utils.removeOutputDir(spark, outputPath); + writeResultProjectList(spark, inputPath, outputPath, relationPath); + }); + } + + private static void writeResultProjectList(SparkSession spark, String inputPath, String outputPath, + String relationPath) { + + Dataset relation = Utils + .readPath(spark, relationPath + "/relation", Relation.class) + .filter( + "dataInfo.deletedbyinference = false and lower(relClass) = '" + + ModelConstants.IS_PRODUCED_BY.toLowerCase() + "'"); + + Dataset result = Utils + .readPath(spark, inputPath + "/publication", CommunityResult.class) + .union(Utils.readPath(spark, inputPath + "/dataset", CommunityResult.class)) + .union(Utils.readPath(spark, inputPath + "/orp", CommunityResult.class)) + .union(Utils.readPath(spark, inputPath + "/software", CommunityResult.class)); + + List funderList = relation + .select("target") + .map((MapFunction) value -> value.getString(0).substring(0, 15), Encoders.STRING()) + .distinct() + .collectAsList(); + + funderList.forEach(funder -> { + String fundernsp = funder.substring(3); + String funderdump; + if (fundernsp.startsWith("corda")) { + funderdump = "EC_"; + if (fundernsp.endsWith("h2020")) { + funderdump += "H2020"; + } else { + funderdump += "FP7"; + } + } else { + funderdump = fundernsp.substring(0, fundernsp.indexOf("_")).toUpperCase(); + } + writeFunderResult(funder, result, outputPath + "/" + funderdump); + }); + + } + + private static void writeFunderResult(String funder, Dataset results, String outputPath) { + + results.map((MapFunction) r -> { + if (!Optional.ofNullable(r.getProjects()).isPresent()) { + return null; + } + for (Project p : r.getProjects()) { + if (p.getId().startsWith(funder)) { + return r; + } + } + return null; + }, Encoders.bean(CommunityResult.class)) + .filter(Objects::nonNull) + .write() + .mode(SaveMode.Overwrite) + .option("compression", "gzip") + .json(outputPath); + } + +} diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/funderresults/SparkResultLinkedToProject.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/funderresults/SparkResultLinkedToProject.java new file mode 100644 index 0000000000..1a28a21f43 --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/funderresults/SparkResultLinkedToProject.java @@ -0,0 +1,106 @@ + +package eu.dnetlib.dhp.oa.graph.dump.funderresults; + +import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession; + +import java.io.Serializable; +import java.util.Optional; + +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.Dataset; +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.oa.graph.dump.Constants; +import eu.dnetlib.dhp.oa.graph.dump.Utils; +import eu.dnetlib.dhp.schema.common.ModelConstants; +import eu.dnetlib.dhp.schema.oaf.Relation; +import eu.dnetlib.dhp.schema.oaf.Result; +import scala.Tuple2; + +/** + * Selects the results linked to projects. Only for these results the dump will be performed. + * The code to perform the dump and to expend the dumped results with the informaiton related to projects + * is the one used for the dump of the community products + */ +public class SparkResultLinkedToProject implements Serializable { + + private static final Logger log = LoggerFactory.getLogger(SparkResultLinkedToProject.class); + + public static void main(String[] args) throws Exception { + String jsonConfiguration = IOUtils + .toString( + SparkResultLinkedToProject.class + .getResourceAsStream( + "/eu/dnetlib/dhp/oa/graph/dump/input_parameters_link_prj.json")); + + final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration); + parser.parseArgument(args); + + Boolean isSparkSessionManaged = Optional + .ofNullable(parser.get("isSparkSessionManaged")) + .map(Boolean::valueOf) + .orElse(Boolean.TRUE); + log.info("isSparkSessionManaged: {}", isSparkSessionManaged); + + final String inputPath = parser.get("sourcePath"); + log.info("inputPath: {}", inputPath); + + final String outputPath = parser.get("outputPath"); + log.info("outputPath: {}", outputPath); + + final String resultClassName = parser.get("resultTableName"); + log.info("resultTableName: {}", resultClassName); + + final String relationPath = parser.get("relationPath"); + log.info("relationPath: {}", relationPath); + + Class inputClazz = (Class) Class.forName(resultClassName); + SparkConf conf = new SparkConf(); + + runWithSparkSession( + conf, + isSparkSessionManaged, + spark -> { + Utils.removeOutputDir(spark, outputPath); + writeResultsLinkedToProjects(spark, inputClazz, inputPath, outputPath, relationPath); + }); + } + + private static void writeResultsLinkedToProjects(SparkSession spark, Class inputClazz, + String inputPath, String outputPath, String relationPath) { + + Dataset results = Utils + .readPath(spark, inputPath, inputClazz) + .filter("dataInfo.deletedbyinference = false and datainfo.invisible = false"); + Dataset relations = Utils + .readPath(spark, relationPath, Relation.class) + .filter( + "dataInfo.deletedbyinference = false and lower(relClass) = '" + + ModelConstants.IS_PRODUCED_BY.toLowerCase() + "'"); + + relations + .joinWith( + results, relations.col("source").equalTo(results.col("id")), + "inner") + .groupByKey( + (MapFunction, String>) value -> value + ._2() + .getId(), + Encoders.STRING()) + .mapGroups((MapGroupsFunction, R>) (k, it) -> { + return it.next()._2(); + }, Encoders.bean(inputClazz)) + .write() + .mode(SaveMode.Overwrite) + .option("compression", "gzip") + .json(outputPath); + } +} diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/AbstractMdRecordToOafMapper.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/AbstractMdRecordToOafMapper.java index 95dd1e1cad..cccf15398f 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/AbstractMdRecordToOafMapper.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/AbstractMdRecordToOafMapper.java @@ -75,6 +75,8 @@ public abstract class AbstractMdRecordToOafMapper { protected static final Qualifier MAG_PID_TYPE = qualifier( "MAGIdentifier", "Microsoft Academic Graph Identifier", DNET_PID_TYPES, DNET_PID_TYPES); + protected static final String DEFAULT_TRUST_FOR_VALIDATED_RELS = "0.999"; + protected static final Map nsContext = new HashMap<>(); static { @@ -244,25 +246,54 @@ public abstract class AbstractMdRecordToOafMapper { final String originalId = ((Node) o).getText(); + final String validationdDate = ((Node) o).valueOf("@validationDate"); + if (StringUtils.isNotBlank(originalId)) { final String projectId = createOpenaireId(40, originalId, true); res .add( - getRelation( + getRelationWithValidationDate( docId, projectId, RESULT_PROJECT, OUTCOME, IS_PRODUCED_BY, collectedFrom, info, - lastUpdateTimestamp)); + lastUpdateTimestamp, validationdDate)); res .add( - getRelation( + getRelationWithValidationDate( projectId, docId, RESULT_PROJECT, OUTCOME, PRODUCES, collectedFrom, info, - lastUpdateTimestamp)); + lastUpdateTimestamp, validationdDate)); } } return res; } + protected Relation getRelationWithValidationDate(final String source, + final String target, + final String relType, + final String subRelType, + final String relClass, + final KeyValue collectedFrom, + final DataInfo info, + final long lastUpdateTimestamp, + final String validationDate) { + + final Relation r = getRelation( + source, target, relType, subRelType, relClass, collectedFrom, info, lastUpdateTimestamp); + r.setValidated(StringUtils.isNotBlank(validationDate)); + r.setValidationDate(StringUtils.isNotBlank(validationDate) ? validationDate : null); + + if (StringUtils.isNotBlank(validationDate)) { + r.setValidated(true); + r.setValidationDate(validationDate); + r.getDataInfo().setTrust(DEFAULT_TRUST_FOR_VALIDATED_RELS); + } else { + r.setValidated(false); + r.setValidationDate(null); + } + + return r; + } + protected Relation getRelation(final String source, final String target, final String relType, diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/community/oozie_app/workflow.xml b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/community/oozie_app/workflow.xml index 161fd2dec1..fcef2547ac 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/community/oozie_app/workflow.xml +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/community/oozie_app/workflow.xml @@ -26,8 +26,8 @@ the metadata associated to the deposition - newDeposition - true if it is a brand new depositon. false for new version of an old deposition + depositionType + one among {new, update, version} conceptRecordId @@ -419,6 +419,7 @@ --metadata${metadata} --communityMapPath${workingDir}/communityMap --conceptRecordId${conceptRecordId} + --depositionId${depositionId} --depositionType${depositionType} diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/complete/oozie_app/workflow.xml b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/complete/oozie_app/workflow.xml index 4c286e4a24..8189e25945 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/complete/oozie_app/workflow.xml +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/complete/oozie_app/workflow.xml @@ -1,4 +1,4 @@ - + @@ -368,7 +368,7 @@ eu.dnetlib.dhp.oa.graph.dump.complete.CreateContextEntities - --hdfsPath${workingDir}/collect/communities_infrastructures + --hdfsPath${workingDir}/collect/communities_infrastructures/communities_infrastructure.json.gz --nameNode${nameNode} --isLookUpUrl${isLookUpUrl} diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/funder_result_parameters.json b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/funder_result_parameters.json new file mode 100644 index 0000000000..9a5a553b1f --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/funder_result_parameters.json @@ -0,0 +1,26 @@ +[ + { + "paramName":"s", + "paramLongName":"sourcePath", + "paramDescription": "the path of the sequencial file to read", + "paramRequired": true + }, + { + "paramName": "out", + "paramLongName": "outputPath", + "paramDescription": "the path used to store temporary output files", + "paramRequired": true + }, + { + "paramName": "ssm", + "paramLongName": "isSparkSessionManaged", + "paramDescription": "true if the spark session is managed, false otherwise", + "paramRequired": false + }, +{ + "paramName": "rp", + "paramLongName": "relationPath", + "paramDescription": "the relationPath", + "paramRequired": true +} +] \ No newline at end of file diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/funderresults/oozie_app/config-default.xml b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/funderresults/oozie_app/config-default.xml new file mode 100644 index 0000000000..e5ec3d0aee --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/funderresults/oozie_app/config-default.xml @@ -0,0 +1,30 @@ + + + jobTracker + yarnRM + + + nameNode + hdfs://nameservice1 + + + oozie.use.system.libpath + true + + + hiveMetastoreUris + thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083 + + + hiveJdbcUrl + jdbc:hive2://iis-cdh5-test-m3.ocean.icm.edu.pl:10000 + + + hiveDbName + openaire + + + oozie.launcher.mapreduce.user.classpath.first + true + + \ No newline at end of file diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/funderresults/oozie_app/workflow.xml b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/funderresults/oozie_app/workflow.xml new file mode 100644 index 0000000000..650b972fa3 --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/funderresults/oozie_app/workflow.xml @@ -0,0 +1,563 @@ + + + + + upload + false + true to upload the dump for the funders in Zenodo + + + sourcePath + the source path + + + isLookUpUrl + the isLookup service endpoint + + + outputPath + the output path + + + accessToken + the access token used for the deposition in Zenodo + + + connectionUrl + the connection url for Zenodo + + + metadata + the metadata associated to the deposition + + + depositionType + the type of deposition we want to perform. "new" for brand new deposition, "version" for a new version of a published deposition (in this case the concept record id must be provided), "upload" to upload content to an open deposition for which we already have the deposition id (in this case the deposition id should be provided) + + + conceptRecordId + for new version, the id of the record for the old deposition + + + depositionId + the depositionId of a deposition open that has to be added content + + + hiveDbName + the target hive database name + + + hiveJdbcUrl + hive server jdbc url + + + hiveMetastoreUris + hive server metastore URIs + + + sparkDriverMemory + memory for driver process + + + sparkExecutorMemory + memory for individual executor + + + sparkExecutorCores + number of cores used by single executor + + + oozieActionShareLibForSpark2 + oozie action sharelib for spark 2.* + + + spark2ExtraListeners + com.cloudera.spark.lineage.NavigatorAppListener + spark 2.* extra listeners classname + + + spark2SqlQueryExecutionListeners + com.cloudera.spark.lineage.NavigatorQueryListener + spark 2.* sql query execution listeners classname + + + spark2YarnHistoryServerAddress + spark 2.* yarn history server address + + + spark2EventLogDir + spark 2.* event log dir location + + + + + ${jobTracker} + ${nameNode} + + + mapreduce.job.queuename + ${queueName} + + + oozie.launcher.mapred.job.queue.name + ${oozieLauncherQueueName} + + + oozie.action.sharelib.for.spark + ${oozieActionShareLibForSpark2} + + + + + + + + + Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}] + + + + + + + + + + + + + + eu.dnetlib.dhp.oa.graph.dump.SaveCommunityMap + --outputPath${workingDir}/communityMap + --nameNode${nameNode} + --isLookUpUrl${isLookUpUrl} + + + + + + + + + + + + + + + yarn + cluster + Dump funder results + eu.dnetlib.dhp.oa.graph.dump.funderresults.SparkResultLinkedToProject + dhp-graph-mapper-${projectVersion}.jar + + --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=${sparkSqlWarehouseDir} + + --sourcePath${sourcePath}/publication + --resultTableNameeu.dnetlib.dhp.schema.oaf.Publication + --outputPath${workingDir}/result/publication + --relationPath${sourcePath}/relation + + + + + + + + yarn + cluster + Dump funder results + eu.dnetlib.dhp.oa.graph.dump.funderresults.SparkResultLinkedToProject + dhp-graph-mapper-${projectVersion}.jar + + --executor-memory=${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} + + --sourcePath${sourcePath}/dataset + --resultTableNameeu.dnetlib.dhp.schema.oaf.Dataset + --outputPath${workingDir}/result/dataset + --relationPath${sourcePath}/relation + + + + + + + + yarn + cluster + Dump funder results + eu.dnetlib.dhp.oa.graph.dump.funderresults.SparkResultLinkedToProject + dhp-graph-mapper-${projectVersion}.jar + + --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=${sparkSqlWarehouseDir} + + --sourcePath${sourcePath}/otherresearchproduct + --resultTableNameeu.dnetlib.dhp.schema.oaf.OtherResearchProduct + --outputPath${workingDir}/result/otherresearchproduct + --relationPath${sourcePath}/relation + + + + + + + + yarn + cluster + Dump funder results + eu.dnetlib.dhp.oa.graph.dump.funderresults.SparkResultLinkedToProject + dhp-graph-mapper-${projectVersion}.jar + + --executor-memory=${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} + + --sourcePath${sourcePath}/software + --resultTableNameeu.dnetlib.dhp.schema.oaf.Software + --outputPath${workingDir}/result/software + --relationPath${sourcePath}/relation + + + + + + + + + + + + + + + + + yarn + cluster + Dump table publication for community related products + eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts + dhp-graph-mapper-${projectVersion}.jar + + --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=${sparkSqlWarehouseDir} + + --sourcePath${workingDir}/result/publication + --resultTableNameeu.dnetlib.dhp.schema.oaf.Publication + --outputPath${workingDir}/dump/publication + --communityMapPath${workingDir}/communityMap + --dumpTypefunder + + + + + + + + yarn + cluster + Dump table dataset for community related products + eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts + dhp-graph-mapper-${projectVersion}.jar + + --executor-memory=${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} + + --sourcePath${workingDir}/result/dataset + --resultTableNameeu.dnetlib.dhp.schema.oaf.Dataset + --outputPath${workingDir}/dump/dataset + --communityMapPath${workingDir}/communityMap + --dumpTypefunder + + + + + + + + yarn + cluster + Dump table ORP for community related products + eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts + dhp-graph-mapper-${projectVersion}.jar + + --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=${sparkSqlWarehouseDir} + + --sourcePath${workingDir}/result/otherresearchproduct + --resultTableNameeu.dnetlib.dhp.schema.oaf.OtherResearchProduct + --outputPath${workingDir}/dump/otherresearchproduct + --communityMapPath${workingDir}/communityMap + --dumpTypefunder + + + + + + + + yarn + cluster + Dump table software for community related products + eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts + dhp-graph-mapper-${projectVersion}.jar + + --executor-memory=${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} + + --sourcePath${workingDir}/result/software + --resultTableNameeu.dnetlib.dhp.schema.oaf.Software + --outputPath${workingDir}/dump/software + --communityMapPath${workingDir}/communityMap + --dumpTypefunder + + + + + + + + + + yarn + cluster + Prepare association result subset of project info + eu.dnetlib.dhp.oa.graph.dump.community.SparkPrepareResultProject + dhp-graph-mapper-${projectVersion}.jar + + --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=${sparkSqlWarehouseDir} + + --sourcePath${sourcePath} + --outputPath${workingDir}/preparedInfo + + + + + + + + + + + + + + + yarn + cluster + Extend dumped publications with information about project + eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo + dhp-graph-mapper-${projectVersion}.jar + + --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=${sparkSqlWarehouseDir} + + --sourcePath${workingDir}/dump/publication + --outputPath${workingDir}/ext/publication + --preparedInfoPath${workingDir}/preparedInfo + + + + + + + + yarn + cluster + Extend dumped dataset with information about project + eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo + dhp-graph-mapper-${projectVersion}.jar + + --executor-memory=${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} + + --sourcePath${workingDir}/dump/dataset + --outputPath${workingDir}/ext/dataset + --preparedInfoPath${workingDir}/preparedInfo + + + + + + + + yarn + cluster + Extend dumped ORP with information about project + eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo + dhp-graph-mapper-${projectVersion}.jar + + --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=${sparkSqlWarehouseDir} + + --sourcePath${workingDir}/dump/otherresearchproduct + --outputPath${workingDir}/ext/orp + --preparedInfoPath${workingDir}/preparedInfo + + + + + + + + yarn + cluster + Extend dumped software with information about project + eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo + dhp-graph-mapper-${projectVersion}.jar + + --executor-memory=${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} + + --sourcePath${workingDir}/dump/software + --outputPath${workingDir}/ext/software + --preparedInfoPath${workingDir}/preparedInfo + + + + + + + + + yarn + cluster + Dump funder results + eu.dnetlib.dhp.oa.graph.dump.funderresults.SparkDumpFunderResults + dhp-graph-mapper-${projectVersion}.jar + + --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=${sparkSqlWarehouseDir} + + --sourcePath${workingDir}/ext + --outputPath${workingDir}/resultperfunder + --relationPath${sourcePath} + + + + + + + + eu.dnetlib.dhp.oa.graph.dump.MakeTar + --hdfsPath${outputPath} + --nameNode${nameNode} + --sourcePath${workingDir}/resultperfunder + + + + + + + + ${wf:conf('upload') eq true} + + + + + + + eu.dnetlib.dhp.oa.graph.dump.SendToZenodoHDFS + --hdfsPath${outputPath} + --nameNode${nameNode} + --accessToken${accessToken} + --connectionUrl${connectionUrl} + --metadata${metadata} + --communityMapPath${workingDir}/communityMap + --conceptRecordId${conceptRecordId} + --depositionType${depositionType} + --depositionId${depositionId} + + + + + + + + \ No newline at end of file diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/input_parameters.json b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/input_parameters.json index b1f4c026ae..1d986fc261 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/input_parameters.json +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/input_parameters.json @@ -29,6 +29,12 @@ "paramLongName":"resultTableName", "paramDescription": "the name of the result table we are currently working on", "paramRequired": true + }, + { + "paramName":"dt", + "paramLongName":"dumpType", + "paramDescription": "the type of the dump (complete for the whole graph, community for the products related to communities, funder for the results with at least a link to project", + "paramRequired": false } ] diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/input_parameters_link_prj.json b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/input_parameters_link_prj.json new file mode 100644 index 0000000000..fdd9492fe7 --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/dump/input_parameters_link_prj.json @@ -0,0 +1,35 @@ +[ + { + "paramName":"s", + "paramLongName":"sourcePath", + "paramDescription": "the path of the sequencial file to read", + "paramRequired": true + }, + { + "paramName": "out", + "paramLongName": "outputPath", + "paramDescription": "the path used to store temporary output files", + "paramRequired": true + }, + { + "paramName": "ssm", + "paramLongName": "isSparkSessionManaged", + "paramDescription": "true if the spark session is managed, false otherwise", + "paramRequired": false + }, + { + "paramName":"tn", + "paramLongName":"resultTableName", + "paramDescription": "the name of the result table we are currently working on", + "paramRequired": true + }, + { + "paramName":"rp", + "paramLongName":"relationPath", + "paramDescription": "the path to the relations", + "paramRequired": true + } +] + + + diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/DumpJobTest.java b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/DumpJobTest.java index 54a610b9c4..271ae8fc1f 100644 --- a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/DumpJobTest.java +++ b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/DumpJobTest.java @@ -8,7 +8,6 @@ import java.util.Arrays; import java.util.List; import org.apache.commons.io.FileUtils; -import org.apache.hadoop.yarn.webapp.hamlet.Hamlet; import org.apache.spark.SparkConf; import org.apache.spark.api.java.JavaRDD; import org.apache.spark.api.java.JavaSparkContext; @@ -23,7 +22,6 @@ import com.fasterxml.jackson.databind.ObjectMapper; import com.google.gson.Gson; import eu.dnetlib.dhp.oa.graph.dump.community.CommunityMap; -import eu.dnetlib.dhp.schema.dump.oaf.Result; import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityResult; import eu.dnetlib.dhp.schema.dump.oaf.graph.GraphResult; import eu.dnetlib.dhp.schema.oaf.Dataset; @@ -155,7 +153,7 @@ public class DumpJobTest { .run( // false, sourcePath, workingDir.toString() + "/result", communityMapPath, Dataset.class, false, sourcePath, workingDir.toString() + "/result", communityMapPath, Dataset.class, - CommunityResult.class, false); + CommunityResult.class, Constants.DUMPTYPE.COMMUNITY.getType()); final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext()); @@ -220,7 +218,7 @@ public class DumpJobTest { .run( // false, sourcePath, workingDir.toString() + "/result", communityMapPath, Dataset.class, false, sourcePath, workingDir.toString() + "/result", communityMapPath, Dataset.class, - GraphResult.class, true); + GraphResult.class, Constants.DUMPTYPE.COMPLETE.getType()); final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext()); @@ -253,7 +251,7 @@ public class DumpJobTest { .run( // false, sourcePath, workingDir.toString() + "/result", communityMapPath, Dataset.class, false, sourcePath, workingDir.toString() + "/result", communityMapPath, Dataset.class, - CommunityResult.class, false); + CommunityResult.class, Constants.DUMPTYPE.COMMUNITY.getType()); final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext()); @@ -285,7 +283,7 @@ public class DumpJobTest { .run( // false, sourcePath, workingDir.toString() + "/result", communityMapPath, Publication.class, false, sourcePath, workingDir.toString() + "/result", communityMapPath, Publication.class, - CommunityResult.class, false); + CommunityResult.class, Constants.DUMPTYPE.COMMUNITY.getType()); final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext()); @@ -321,7 +319,7 @@ public class DumpJobTest { .run( // false, sourcePath, workingDir.toString() + "/result", communityMapPath, Software.class, false, sourcePath, workingDir.toString() + "/result", communityMapPath, Software.class, - CommunityResult.class, false); + CommunityResult.class, Constants.DUMPTYPE.COMMUNITY.getType()); final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext()); @@ -357,7 +355,7 @@ public class DumpJobTest { .run( // false, sourcePath, workingDir.toString() + "/result", communityMapPath, OtherResearchProduct.class, false, sourcePath, workingDir.toString() + "/result", communityMapPath, OtherResearchProduct.class, - CommunityResult.class, false); + CommunityResult.class, Constants.DUMPTYPE.COMMUNITY.getType()); final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext()); @@ -392,7 +390,7 @@ public class DumpJobTest { .run( // false, sourcePath, workingDir.toString() + "/result", communityMapPath, Publication.class, false, sourcePath, workingDir.toString() + "/result", communityMapPath, Publication.class, - CommunityResult.class, false); + CommunityResult.class, Constants.DUMPTYPE.COMMUNITY.getType()); final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext()); diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/complete/CreateEntityTest.java b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/complete/CreateEntityTest.java index 411e6f4b01..3ecbd18943 100644 --- a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/complete/CreateEntityTest.java +++ b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/complete/CreateEntityTest.java @@ -3,15 +3,24 @@ package eu.dnetlib.dhp.oa.graph.dump.complete; import static org.mockito.Mockito.lenient; +import java.io.BufferedWriter; import java.io.IOException; +import java.io.OutputStreamWriter; +import java.nio.charset.StandardCharsets; +import java.nio.file.Files; import java.util.ArrayList; import java.util.Arrays; import java.util.List; import java.util.function.Consumer; -import org.junit.jupiter.api.Assertions; -import org.junit.jupiter.api.BeforeEach; -import org.junit.jupiter.api.Test; +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.fs.FSDataOutputStream; +import org.apache.hadoop.fs.FileSystem; +import org.apache.hadoop.fs.LocalFileSystem; +import org.apache.hadoop.fs.Path; +import org.apache.hadoop.io.compress.CompressionCodec; +import org.apache.hadoop.io.compress.CompressionCodecFactory; +import org.junit.jupiter.api.*; import org.junit.jupiter.api.extension.ExtendWith; import org.mockito.Mock; import org.mockito.junit.jupiter.MockitoExtension; @@ -60,6 +69,8 @@ public class CreateEntityTest { private QueryInformationSystem queryInformationSystem; + private static String workingDir; + @BeforeEach public void setUp() throws ISLookUpException { lenient().when(isLookUpService.quickSearchProfile(XQUERY_ENTITY)).thenReturn(communityMap); @@ -67,6 +78,13 @@ public class CreateEntityTest { queryInformationSystem.setIsLookUp(isLookUpService); } + @BeforeAll + public static void beforeAll() throws IOException { + workingDir = Files + .createTempDirectory(eu.dnetlib.dhp.oa.graph.dump.complete.CreateEntityTest.class.getSimpleName()) + .toString(); + } + @Test public void test1() throws ISLookUpException, IOException { List cInfoList = new ArrayList<>(); @@ -123,4 +141,33 @@ public class CreateEntityTest { riList.forEach(c -> System.out.println(new Gson().toJson(c))); } + + @Test + @Disabled + public void test2() throws IOException, ISLookUpException { + LocalFileSystem fs = FileSystem.getLocal(new Configuration()); + + Path hdfsWritePath = new Path(workingDir + "/prova"); + FSDataOutputStream fsDataOutputStream = null; + if (fs.exists(hdfsWritePath)) { + fsDataOutputStream = fs.append(hdfsWritePath); + } else { + fsDataOutputStream = fs.create(hdfsWritePath); + } + CompressionCodecFactory factory = new CompressionCodecFactory(fs.getConf()); + CompressionCodec codec = factory.getCodecByClassName("org.apache.hadoop.io.compress.GzipCodec"); + + BufferedWriter writer = new BufferedWriter(new OutputStreamWriter(codec.createOutputStream(fsDataOutputStream), + StandardCharsets.UTF_8)); + + List cInfoList = new ArrayList<>(); + final Consumer consumer = ci -> cInfoList.add(ci); + queryInformationSystem.getContextInformation(consumer); + + for (ContextInfo cInfo : cInfoList) { + writer.write(new Gson().toJson(Process.getEntity(cInfo))); + } + writer.close(); + + } } diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/funderresult/ResultLinkedToProjectTest.java b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/funderresult/ResultLinkedToProjectTest.java new file mode 100644 index 0000000000..dbe3db6fe2 --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/funderresult/ResultLinkedToProjectTest.java @@ -0,0 +1,137 @@ + +package eu.dnetlib.dhp.oa.graph.dump.funderresult; + +import java.io.IOException; +import java.nio.file.Files; +import java.nio.file.Path; +import java.util.HashMap; + +import org.apache.commons.io.FileUtils; +import org.apache.spark.SparkConf; +import org.apache.spark.api.java.JavaRDD; +import org.apache.spark.api.java.JavaSparkContext; +import org.apache.spark.sql.Encoders; +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.oa.graph.dump.funderresults.SparkResultLinkedToProject; +import eu.dnetlib.dhp.schema.oaf.Publication; +import eu.dnetlib.dhp.schema.oaf.Result; + +public class ResultLinkedToProjectTest { + + private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); + + private static SparkSession spark; + + private static Path workingDir; + + private static final Logger log = LoggerFactory + .getLogger(eu.dnetlib.dhp.oa.graph.dump.funderresult.ResultLinkedToProjectTest.class); + + private static HashMap map = new HashMap<>(); + + @BeforeAll + public static void beforeAll() throws IOException { + workingDir = Files + .createTempDirectory( + eu.dnetlib.dhp.oa.graph.dump.funderresult.ResultLinkedToProjectTest.class.getSimpleName()); + log.info("using work dir {}", workingDir); + + SparkConf conf = new SparkConf(); + conf.setAppName(eu.dnetlib.dhp.oa.graph.dump.funderresult.ResultLinkedToProjectTest.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(eu.dnetlib.dhp.oa.graph.dump.funderresult.ResultLinkedToProjectTest.class.getSimpleName()) + .config(conf) + .getOrCreate(); + } + + @AfterAll + public static void afterAll() throws IOException { + FileUtils.deleteDirectory(workingDir.toFile()); + spark.stop(); + } + + @Test + public void testNoMatch() throws Exception { + + final String sourcePath = getClass() + .getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/nomatch/papers.json") + .getPath(); + + final String relationPath = getClass() + .getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/nomatch/relations.json") + .getPath(); + + SparkResultLinkedToProject.main(new String[] { + "-isSparkSessionManaged", Boolean.FALSE.toString(), + "-outputPath", workingDir.toString() + "/preparedInfo", + "-sourcePath", sourcePath, + "-resultTableName", "eu.dnetlib.dhp.schema.oaf.Publication", + "-relationPath", relationPath + + }); + + final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext()); + + JavaRDD tmp = sc + .textFile(workingDir.toString() + "/preparedInfo") + .map(item -> OBJECT_MAPPER.readValue(item, Result.class)); + + org.apache.spark.sql.Dataset verificationDataset = spark + .createDataset(tmp.rdd(), Encoders.bean(Result.class)); + + Assertions.assertEquals(0, verificationDataset.count()); + + } + + @Test + public void testMatchOne() throws Exception { + + final String sourcePath = getClass() + .getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/match/papers.json") + .getPath(); + + final String relationPath = getClass() + .getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/match/relations.json") + .getPath(); + + SparkResultLinkedToProject.main(new String[] { + "-isSparkSessionManaged", Boolean.FALSE.toString(), + "-outputPath", workingDir.toString() + "/preparedInfo", + "-sourcePath", sourcePath, + "-resultTableName", "eu.dnetlib.dhp.schema.oaf.Publication", + "-relationPath", relationPath + + }); + + final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext()); + + JavaRDD tmp = sc + .textFile(workingDir.toString() + "/preparedInfo") + .map(item -> OBJECT_MAPPER.readValue(item, Publication.class)); + + org.apache.spark.sql.Dataset verificationDataset = spark + .createDataset(tmp.rdd(), Encoders.bean(Publication.class)); + + Assertions.assertEquals(1, verificationDataset.count()); + + } + +} diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/funderresult/SplitPerFunderTest.java b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/funderresult/SplitPerFunderTest.java new file mode 100644 index 0000000000..71bf5d9421 --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/dump/funderresult/SplitPerFunderTest.java @@ -0,0 +1,141 @@ + +package eu.dnetlib.dhp.oa.graph.dump.funderresult; + +import java.io.IOException; +import java.nio.file.Files; +import java.nio.file.Path; + +import org.apache.commons.io.FileUtils; +import org.apache.spark.SparkConf; +import org.apache.spark.api.java.JavaRDD; +import org.apache.spark.api.java.JavaSparkContext; +import org.apache.spark.sql.Encoders; +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.oa.graph.dump.DumpJobTest; +import eu.dnetlib.dhp.oa.graph.dump.SplitForCommunityTest; +import eu.dnetlib.dhp.oa.graph.dump.community.CommunitySplit; +import eu.dnetlib.dhp.oa.graph.dump.funderresults.SparkDumpFunderResults; +import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityResult; + +public class SplitPerFunderTest { + + private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); + + private static SparkSession spark; + + private static Path workingDir; + + private static final Logger log = LoggerFactory.getLogger(SplitPerFunderTest.class); + + @BeforeAll + public static void beforeAll() throws IOException { + workingDir = Files.createTempDirectory(SplitPerFunderTest.class.getSimpleName()); + log.info("using work dir {}", workingDir); + + SparkConf conf = new SparkConf(); + conf.setAppName(SplitPerFunderTest.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(SplitPerFunderTest.class.getSimpleName()) + .config(conf) + .getOrCreate(); + } + + @AfterAll + public static void afterAll() throws IOException { + FileUtils.deleteDirectory(workingDir.toFile()); + spark.stop(); + } + + @Test + public void test1() throws Exception { + + final String sourcePath = getClass() + .getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/extendeddump") + .getPath(); + + SparkDumpFunderResults.main(new String[] { + "-isSparkSessionManaged", Boolean.FALSE.toString(), + "-outputPath", workingDir.toString() + "/split", + "-sourcePath", sourcePath, + "-relationPath", sourcePath + + }); + + final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext()); + + // FP7 3 + JavaRDD tmp = sc + .textFile(workingDir.toString() + "/split/EC_FP7") + .map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class)); + + org.apache.spark.sql.Dataset verificationDataset = spark + .createDataset(tmp.rdd(), Encoders.bean(CommunityResult.class)); + + Assertions.assertEquals(3, verificationDataset.count()); + + Assertions + .assertEquals( + 1, verificationDataset.filter("id = '50|dedup_wf_001::0d16b1714ab3077df73893a8ea57d776'").count()); + + // CIHR 2 + tmp = sc + .textFile(workingDir.toString() + "/split/CIHR") + .map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class)); + Assertions.assertEquals(2, tmp.count()); + + // NWO 1 + tmp = sc + .textFile(workingDir.toString() + "/split/NWO") + .map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class)); + Assertions.assertEquals(1, tmp.count()); + + // NIH 3 + tmp = sc + .textFile(workingDir.toString() + "/split/NIH") + .map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class)); + Assertions.assertEquals(2, tmp.count()); + + // NSF 1 + tmp = sc + .textFile(workingDir.toString() + "/split/NSF") + .map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class)); + Assertions.assertEquals(1, tmp.count()); + + // SNSF 1 + tmp = sc + .textFile(workingDir.toString() + "/split/SNSF") + .map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class)); + Assertions.assertEquals(1, tmp.count()); + + // NHMRC 1 + tmp = sc + .textFile(workingDir.toString() + "/split/NHMRC") + .map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class)); + Assertions.assertEquals(1, tmp.count()); + + // H2020 3 + tmp = sc + .textFile(workingDir.toString() + "/split/EC_H2020") + .map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class)); + Assertions.assertEquals(3, tmp.count()); + + } +} diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MappersTest.java b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MappersTest.java index 46cb1a5359..2a62e25b2a 100644 --- a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MappersTest.java +++ b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MappersTest.java @@ -141,7 +141,10 @@ public class MappersTest { assertTrue(StringUtils.isNotBlank(r2.getRelClass())); assertTrue(StringUtils.isNotBlank(r1.getRelType())); assertTrue(StringUtils.isNotBlank(r2.getRelType())); - + assertTrue(r1.getValidated()); + assertTrue(r2.getValidated()); + assertEquals(r1.getValidationDate(), "2020-01-01"); + assertEquals(r2.getValidationDate(), "2020-01-01"); // System.out.println(new ObjectMapper().writeValueAsString(p)); // System.out.println(new ObjectMapper().writeValueAsString(r1)); // System.out.println(new ObjectMapper().writeValueAsString(r2)); @@ -246,6 +249,10 @@ public class MappersTest { assertTrue(StringUtils.isNotBlank(r2.getRelClass())); assertTrue(StringUtils.isNotBlank(r1.getRelType())); assertTrue(StringUtils.isNotBlank(r2.getRelType())); + assertTrue(r1.getValidated()); + assertTrue(r2.getValidated()); + assertEquals(r1.getValidationDate(), "2020-01-01"); + assertEquals(r2.getValidationDate(), "2020-01-01"); } @Test @@ -355,7 +362,21 @@ public class MappersTest { assertValidId(p.getId()); assertValidId(p.getCollectedfrom().get(0).getKey()); assertTrue(StringUtils.isNotBlank(p.getTitle().get(0).getValue())); - System.out.println(p.getTitle().get(0).getValue()); + assertEquals(1, p.getAuthor().size()); + assertEquals("OPEN", p.getBestaccessright().getClassid()); + assertTrue(StringUtils.isNotBlank(p.getPid().get(0).getValue())); + assertTrue(StringUtils.isNotBlank(p.getPid().get(0).getQualifier().getClassid())); + assertEquals("dataset", p.getResulttype().getClassname()); + assertEquals(1, p.getInstance().size()); + assertEquals("OPEN", p.getInstance().get(0).getAccessright().getClassid()); + assertValidId(p.getInstance().get(0).getCollectedfrom().getKey()); + assertValidId(p.getInstance().get(0).getHostedby().getKey()); + assertEquals( + "http://creativecommons.org/licenses/by/3.0/de/legalcode", p.getInstance().get(0).getLicense().getValue()); + assertEquals(1, p.getInstance().get(0).getUrl().size()); +// System.out.println(p.getInstance().get(0).getUrl().get(0)); +// System.out.println(p.getInstance().get(0).getHostedby().getValue()); + System.out.println(p.getPid().get(0).getValue()); } @Test diff --git a/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/extendeddump/dataset b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/extendeddump/dataset new file mode 100644 index 0000000000..e69de29bb2 diff --git a/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/extendeddump/orp b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/extendeddump/orp new file mode 100644 index 0000000000..e69de29bb2 diff --git a/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/extendeddump/publication b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/extendeddump/publication new file mode 100644 index 0000000000..901b34abc0 --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/extendeddump/publication @@ -0,0 +1,12 @@ +{"author":[{"fullname":"Eric A. Wright","name":"Eric A.","pid":{"id":{"scheme":"orcid","value":"0000-0001-8604-7026"}},"rank":1,"surname":"Wright"},{"fullname":"Christopher D. d’Esterre","name":"Christopher D.","rank":2,"surname":"d’Esterre"},{"fullname":"Laura B. Morrison","name":"Laura B.","rank":3,"surname":"Morrison"},{"fullname":"Neil Cockburn","name":"Neil","rank":4,"surname":"Cockburn"},{"fullname":"Michael Kovacs","name":"Michael","rank":5,"surname":"Kovacs"},{"fullname":"Ting-Yim Lee","name":"Ting-Yim","rank":6,"surname":"Lee"}],"bestaccessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":[{"key":"10|openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"},{"key":"10|opendoar____::eda80a3d5b344bc40f3bc04f65b7a357","value":"PubMed Central"},{"key":"10|openaire____::081b82f96300b6a6e3d282bad31cb6e2","value":"Crossref"},{"key":"10|openaire____::8ac8380272269217cb09a928c8caa993","value":"UnpayWall"},{"key":"10|openaire____::5f532a3fc4f1ea403f37070f59a7a53a","value":"Microsoft Academic Graph"},{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"},{"key":"10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c","value":"Europe PubMed Central"}],"context":[{"code":"ni","label":"Neuroinformatics","provenance":[{"provenance":"Inferred by OpenAIRE","trust":"0.8"}]}],"contributor":["Jiang, Quan"],"country":[],"coverage":[],"dateofcollection":"","description":["CT Perfusion (CTP) derived cerebral blood flow (CBF) thresholds have been proposed as the optimal parameter for distinguishing the infarct core prior to reperfusion. Previous threshold-derivation studies have been limited by uncertainties introduced by infarct expansion between the acute phase of stroke and follow-up imaging, or DWI lesion reversibility. In this study a model is proposed for determining infarction CBF thresholds at 3hr ischemia time by comparing contemporaneously acquired CTP derived CBF maps to 18F-FFMZ-PET imaging, with the objective of deriving a CBF threshold for infarction after 3 hours of ischemia. Endothelin-1 (ET-1) was injected into the brain of Duroc-Cross pigs (n = 11) through a burr hole in the skull. CTP images were acquired 10 and 30 minutes post ET-1 injection and then every 30 minutes for 150 minutes. 370 MBq of 18F-FFMZ was injected ~120 minutes post ET-1 injection and PET images were acquired for 25 minutes starting ~155-180 minutes post ET-1 injection. CBF maps from each CTP acquisition were co-registered and converted into a median CBF map. The median CBF map was co-registered to blood volume maps for vessel exclusion, an average CT image for grey/white matter segmentation, and 18F-FFMZ-PET images for infarct delineation. Logistic regression and ROC analysis were performed on infarcted and non-infarcted pixel CBF values for each animal that developed infarct. Six of the eleven animals developed infarction. The mean CBF value corresponding to the optimal operating point of the ROC curves for the 6 animals was 12.6 ± 2.8 mL·min-1·100g-1 for infarction after 3 hours of ischemia. The porcine ET-1 model of cerebral ischemia is easier to implement then other large animal models of stroke, and performs similarly as long as CBF is monitored using CTP to prevent reperfusion."],"format":[],"id":"50|dedup_wf_001::0017bb7bb6a0e2f5624db2721a1bc1a5","instance":[{"collectedfrom":{"key":"10|openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"},"hostedby":{"key":"10|openaire____::55045bd2a65019fd8e6741a755395c8c","value":"Unknown Repository"},"license":"http://creativecommons.org/licenses/by/4.0","publicationdate":"2016-06-27","refereed":"UNKNOWN","type":"Other literature type","url":["http://dx.doi.org/10.1371/journal.pone.0158157"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::eda80a3d5b344bc40f3bc04f65b7a357","value":"PubMed Central"},"hostedby":{"key":"10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c","value":"Europe PubMed 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Departamento de Ciencias Ambientales y Recursos Naturales","Universidad de Alicante. Centro Iberoamericano de la Biodiversidad","Biodiversidad y Biotecnología aplicadas a la Biología de la Conservación","Terrestrial Ecology (TE)"],"country":[{"code":"NL","label":"Netherlands","provenance":{"provenance":"Propagation of country to result collected from datasources of type institutional repositories","trust":"0.85"}},{"code":"ES","label":"Spain","provenance":{"provenance":"Propagation of country to result collected from datasources of type institutional repositories","trust":"0.85"}}],"coverage":[],"dateofcollection":"2018-10-03T06:57:46.116Z","description":["Herbivory affects subsequent herbivores, mainly regulated by the phytohormones jasmonic (JA) and salicylic acid (SA). Additionally, organisms such as soil microbes belowground or parasitoids that develop inside their herbivorous hosts aboveground, can change plant responses to herbivory. However, it is not yet well known how organisms of trophic levels other than herbivores, below- and above-ground, alter the interactions between insect species sharing a host plant. Here, we investigated whether the parasitoid Aphidius colemani and different soil microbial communities (created through plant-soil feedbacks) affect the JA and SA signalling pathways in response to the aphid Myzus persicae and the thrips Frankliniella occidentalis, as well as subsequent thrips performance. Our results show that the expression of the JA-responsive gene CaPINII in sweet pepper was more suppressed by aphids than by parasitised aphids. However, parasitism did not affect the expression of CaPAL1, a biosynthetic gene of SA. Furthermore, aphid feeding enhanced thrips performance compared with uninfested plants, but this was not observed when aphids were parasitised. Soils where different plant species were previously grown, did not affect plant responses or the interaction between herbivores. Our study shows that members of the third trophic level can modify herbivore interactions by altering plant physiology.\nThis work and T.V.’s activities were supported by Spanish Ministry of Science and Innovation, (CGL2016-79054), the Open Technology Program of NWO (TTW-13848), and the STSM Cost Action FA1405 funded by the European Union. A.P. research activities were supported by the Netherlands Organisation for Scientific Research (NWO, project no. 870.15.080)."],"format":["application/pdf","application/octet-stream"],"id":"50|dedup_wf_001::01644aebfe64e809f593492e515bc070","instance":[{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::e820a45f1dfc7b95282d10b6087e11c0","value":"Repositorio Institucional de la Universidad de Alicante"},"hostedby":{"key":"10|opendoar____::e820a45f1dfc7b95282d10b6087e11c0","value":"Repositorio Institucional de la Universidad de Alicante"},"license":"Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.","publicationdate":"2018-09-26","refereed":"UNKNOWN","type":"Article","url":["http://hdl.handle.net/10045/80968"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"},"hostedby":{"key":"10|doajarticles::70703810b20723fe33cba6ffd7128212","value":"Scientific 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Computer Science and Artificial Intelligence Laboratory","Massachusetts Institute of Technology. Department of Mathematics","Lipson, Mark","Loh, Po-Ru","Berger, Bonnie"],"country":[{"code":"DZ","label":"Algeria","provenance":{"provenance":"Propagation of country to result collected from datasources of type institutional repositories","trust":"0.85"}},{"code":"US","label":"United States","provenance":{"provenance":"Propagation of country to result collected from datasources of type institutional repositories","trust":"0.85"}}],"coverage":[],"dateofcollection":"2020-09-12T07:56:34.334Z","description":["Austronesian languages are spread across half the globe, from Easter Island to Madagascar. Evidence from linguistics and archaeology indicates that the ‘Austronesian expansion,’ which began 4,000–5,000 years ago, likely had roots in Taiwan, but the ancestry of present-day Austronesian-speaking populations remains controversial. 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prognostic accuracy in patients with disorders of consciousness. Due to the portability and relative inexpensiveness of electroencephalography, the N400 event-related potential component has been proposed as a clinically valid means to identify preserved linguistic function in non-communicative patients. Across three experiments, we show that changes in both stimuli and task demands significantly influence the probability of detecting statistically significant N400 effects — that is, the difference in N400 amplitudes caused by the experimental manipulation. In terms of task demands, passively heard linguistic stimuli were significantly less likely to elicit N400 effects than task-relevant stimuli. Due to the inability of the majority of patients with disorders of consciousness to follow task commands, the insensitivity of passive listening would impede the identification of residual language abilities even when such abilities exist. In terms of stimuli, passively heard normatively associated word pairs produced the highest detection rate of N400 effects (50% of the participants), compared with semantically-similar word pairs (0%) and high-cloze sentences (17%). This result is consistent with a prediction error account of N400 magnitude, with highly predictable targets leading to smaller N400 waves, and therefore larger N400 effects. Overall, our data indicate that non-repeating normatively associated word pairs provide the highest probability of detecting single-subject N400s during passive listening, and may thereby provide a clinically viable means of assessing residual linguistic function. We also show that more liberal analyses may further increase the detection-rate, but at the potential cost of increased false alarms.","Highlights • The N400 is a candidate marker of linguistic function after severe brain injury. • The probability of detecting N400s is dependent on task demands. • Passive listening is less sensitive than command-following. • The probability of detecting N400s is dependent on stimuli choices. • Word-pairs generated from association norms provide the highest sensitivity."],"format":["application/pdf"],"id":"50|dedup_wf_001::03d1b1b04480058e646b34c174e61082","instance":[{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::081b82f96300b6a6e3d282bad31cb6e2","value":"Crossref"},"hostedby":{"key":"10|doajarticles::0c0e74daa5d95504eade9c81ebbd5b8a","value":"NeuroImage: 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New polyethers, such as iubol (2), 22-hydroxy-15(28)- dehydrovenustatriol (3), 1,2-dehydropseudodehydrothyrsiferol (4), and secodehydrothyrsiferol (5) have been isolated and characterized from this alga. The structures were determined through the interpretation of NMR spectroscopic data and the relative configuration was proposed on the basis of NOESY spectrum and biogenetic considerations. All new compounds exhibited significant cytotoxic activity against a panel of cancer cell lines. © 2011 by the authors.","Financial support was provided by the grants MAREX (FP 7; KBBE-3-245137) (EU), CTQ2008-06754-C04-01 and SAF2008-02251 (MICINN); C2008000145 and EXMAR (ACISII); RD06/0020/1037 from Red Temática de Investigación Cooperativa en Cáncer, Instituto de Salud Carlos III, co-funded by the Fondo Europeo de Desarrollo Regional of the European Union, and Junta de Castilla y León (CSI052A11-2, and GR15-Experimental Therapeutics and Translational Oncology Program). F.C.P. is the recipient of a SEGAI-ULL fellowship.","Peer Reviewed"],"format":["application/pdf"],"id":"50|dedup_wf_001::06496bbae2934f9443037f3df7293791","instance":[{"accessright":{"code":"c_14cb","label":"CLOSED","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::4e99a7004945b3f6298b66c2b8dd4fc6","value":"SESAM Publication Database - FP7 KBBE"},"hostedby":{"key":"10|openaire____::55045bd2a65019fd8e6741a755395c8c","value":"Unknown 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The validity and utility of standard measures of childhood maltreatment requires clarification in order to inform the design of future studies investigating the mental health consequences of maltreatment. The present study assessed agreement between prospective informant-reports and retrospective self-reports of childhood maltreatment, as well as the comparative utility of both reports for predicting a range of psychiatric problems at age 18. Data were obtained from the Environmental Risk (E-Risk) Longitudinal Twin Study, a nationally-representative birth cohort of 2232 children followed to 18 years of age (with 93% retention). Childhood maltreatment was assessed in two ways: (i) prospective informant-reports from caregivers, researchers, and clinicians when children were aged 5, 7, 10 and 12; and (ii) retrospective self-reports of maltreatment experiences occurring up to age 12, obtained at age 18 using the Childhood Trauma Questionnaire. Participants were privately interviewed at age 18 concerning several psychiatric problems including depression, anxiety, self-injury, alcohol/cannabis dependence, and conduct disorder. There was only slight to fair agreement between prospective and retrospective reports of childhood maltreatment (all Kappa's ≤ 0.31). Both prospective and retrospective reports of maltreatment were associated with age-18 psychiatric problems, though the strongest associations were found when maltreatment was retrospectively self-reported. These findings indicate that prospective and retrospective reports of childhood maltreatment capture largely non-overlapping groups of individuals. Young adults who recall being maltreated have a particularly elevated risk for psychopathology."],"format":["application/pdf","text"],"id":"50|dedup_wf_001::085f9efc74e1192abca87031fb573d70","instance":[{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::566a9968b43628588e76be5a85a0f9e8","value":"King's Research Portal"},"hostedby":{"key":"10|opendoar____::566a9968b43628588e76be5a85a0f9e8","value":"King's Research 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Research"},"license":"https://www.elsevier.com/tdm/userlicense/1.0/","publicationdate":"2017-09-21T17:47:59Z","refereed":"UNKNOWN","type":"Article","url":["https://api.elsevier.com/content/article/PII:S0022395617307975?httpAccept=text/xml","https://api.elsevier.com/content/article/PII:S0022395617307975?httpAccept=text/plain","http://dx.doi.org/10.1016/j.jpsychires.2017.09.020"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::8ac8380272269217cb09a928c8caa993","value":"UnpayWall"},"hostedby":{"key":"10|issn___print::54ae940914489684875339c973ee4591","value":"Journal of Psychiatric Research"},"license":"cc-by","refereed":"UNKNOWN","type":"Article","url":["https://doi.org/10.1016/j.jpsychires.2017.09.020"]},{"collectedfrom":{"key":"10|openaire____::5f532a3fc4f1ea403f37070f59a7a53a","value":"Microsoft Academic Graph"},"hostedby":{"key":"10|issn___print::54ae940914489684875339c973ee4591","value":"Journal of Psychiatric Research"},"refereed":"UNKNOWN","type":"Article","url":["https://www.sciencedirect.com/science/article/pii/S0022395617307975","https://www.ncbi.nlm.nih.gov/pubmed/28965006","https://kclpure.kcl.ac.uk/portal/en/publications/measuring-childhood-maltreatment-to-predict-earlyadult-psychopathology(6b9fcf93-2732-49fc-9f0d-d6e398c56883).html","https://core.ac.uk/display/96762327","https://kclpure.kcl.ac.uk/portal/files/92745969/Measuring_childhood_maltreatment_to_NEWBURY_Firstonline20September2017_GOLD_VoR_CC_BY_.pdf","https://academic.microsoft.com/#/detail/2760657291"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::5737c6ec2e0716f3d8a7a5c4e0de0d9a","value":"UCL Discovery"},"hostedby":{"key":"10|opendoar____::5737c6ec2e0716f3d8a7a5c4e0de0d9a","value":"UCL Discovery"},"publicationdate":"2018-01-01","refereed":"UNKNOWN","type":"Article","url":["https://discovery.ucl.ac.uk/id/eprint/10075526/","https://discovery.ucl.ac.uk/id/eprint/10075526/1/1-s2.0-S0022395617307975-main.pdf"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::eda80a3d5b344bc40f3bc04f65b7a357","value":"PubMed Central"},"hostedby":{"key":"10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c","value":"Europe PubMed Central"},"publicationdate":"2018-01-01","refereed":"UNKNOWN","type":"Article","url":["http://europepmc.org/articles/PMC5725307"]},{"collectedfrom":{"key":"10|openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"},"hostedby":{"key":"10|openaire____::55045bd2a65019fd8e6741a755395c8c","value":"Unknown Repository"},"license":"http://creativecommons.org/licenses/by/4.0","publicationdate":"2018-01-01","refereed":"UNKNOWN","type":"Other literature type","url":["http://dx.doi.org/10.1016/j.jpsychires.2017.09.020"]}],"language":{"code":"eng","label":"English"},"lastupdatetimestamp":1603727328518,"maintitle":"Measuring childhood maltreatment to predict early-adult psychopathology:Comparison of prospective informant-reports and retrospective self-reports","originalId":["oai:pure.atira.dk:publications/6b9fcf93-2732-49fc-9f0d-d6e398c56883","S0022395617307975","10.1016/j.jpsychires.2017.09.020","2760657291","oai:eprints.ucl.ac.uk.OAI2:10075526","oai:pubmedcentral.nih.gov:5725307"],"pid":[{"scheme":"doi","value":"10.1016/j.jpsychires.2017.09.020"},{"scheme":"pmc","value":"PMC5725307"},{"scheme":"pmid","value":"28965006"}],"projects":[{"code":"5R01HD077482-05","funder":{"fundingStream":"EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT","jurisdiction":"US","name":"National Institutes of Health","shortName":"NIH"},"id":"40|nih_________::0a44d4e82d5b835e3512ee3e9aed50ed","provenance":{"provenance":"Harvested","trust":"0.900000000000000022"},"title":"Neuropsychological and genomic signatures of violence exposure in childhood"},{"code":"1002190","funder":{"fundingStream":"Research Fellowships","jurisdiction":"AU","name":"National Health and Medical Research Council (NHMRC)","shortName":"NHMRC"},"id":"40|nhmrc_______::2f73997cd5fd2ca34b270952973df14d","provenance":{"provenance":"Harvested","trust":"0.900000000000000022"},"title":"Physiology and pathophysiology of disorders of the musculoskelatal system"}],"publicationdate":"2018-01-01","subjects":[{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"UNKNOWN","value":"Child abuse, Mental health, Adolescence, Early adulthood, Assessment, Recall bias"}},{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"UNKNOWN","value":"Article"}},{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"UNKNOWN","value":"Child abuse"}},{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"UNKNOWN","value":"Mental health"}},{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"UNKNOWN","value":"Adolescence"}},{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"UNKNOWN","value":"Early adulthood"}},{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"UNKNOWN","value":"Assessment"}},{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"UNKNOWN","value":"Recall bias"}},{"provenance":{"provenance":"Inferred by OpenAIRE","trust":"0.72"},"subject":{"scheme":"mesheuropmc","value":"humanities"}}],"type":"publication"} +{"author":[{"fullname":"Mara Novero","name":"Mara","pid":{"id":{"scheme":"orcid","value":"0000-0001-7412-8750"}},"rank":1,"surname":"Novero"},{"fullname":"Paola Bonfante","name":"Paola","pid":{"id":{"scheme":"orcid","value":"0000-0003-3576-8530"}},"rank":2,"surname":"Bonfante"},{"fullname":"Matteo Chialva","name":"Matteo","pid":{"id":{"scheme":"orcid","value":"0000-0002-6996-6642"}},"rank":3,"surname":"Chialva"},{"fullname":"Silvia PEROTTO","name":"Silvia","pid":{"id":{"scheme":"orcid","value":"0000-0003-0121-1806"}},"rank":4,"surname":"PEROTTO"},{"fullname":"Marco Chiapello","name":"Marco","pid":{"id":{"scheme":"orcid","value":"0000-0001-7768-3047"}},"rank":5,"surname":"Chiapello"},{"fullname":"Stefano Ghignone","name":"Stefano","pid":{"id":{"scheme":"orcid","value":"0000-0002-2033-2286"}},"rank":6,"surname":"Ghignone"},{"fullname":"Stefania DAGHINO","name":"Stefania","pid":{"id":{"scheme":"orcid","value":"0000-0001-5722-1558"}},"rank":7,"surname":"DAGHINO"}],"bestaccessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":[{"key":"10|openaire____::081b82f96300b6a6e3d282bad31cb6e2","value":"Crossref"},{"key":"10|openaire____::8ac8380272269217cb09a928c8caa993","value":"UnpayWall"},{"key":"10|openaire____::806360c771262b4d6770e7cdf04b5c5a","value":"ORCID"},{"key":"10|openaire____::5f532a3fc4f1ea403f37070f59a7a53a","value":"Microsoft Academic Graph"},{"key":"10|opendoar____::89fcd07f20b6785b92134bd6c1d0fa42","value":"Archivio Istituzionale"},{"key":"10|openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"}],"container":{"ep":"1308","issnPrinted":"0028-646X","name":"New Phytologist","sp":"1296","vol":"220"},"context":[{"code":"sdsn-gr","label":"SDSN - Greece","provenance":[{"provenance":"Inferred by OpenAIRE","trust":"0.9"}]}],"contributor":[],"country":[{"code":"IT","label":"Italy","provenance":{"provenance":"Propagation of country to result collected from datasources of type institutional repositories","trust":"0.85"}}],"coverage":[],"dateofcollection":"2019-12-19T10:23:19Z","description":["Summary\r\nSeveral studies have investigated soil microbial biodiversity, but understanding of the mechanisms underlying plant responses to soil microbiota remains in its infancy. Here, we focused on tomato (Solanum lycopersicum), testing the hypothesis that plants grown on native soils display different responses to soil microbiotas.\r\nUsing transcriptomics, proteomics, and biochemistry, we describe the responses of two tomato genotypes (susceptible or resistant to Fusarium oxysporum f. sp. lycopersici) grown on an artificial growth substrate and two native soils (conducive and suppressive to Fusarium).\r\nNative soils affected tomato responses by modulating pathways involved in responses to oxidative stress, phenol biosynthesis, lignin deposition, and innate immunity, particularly in the suppressive soil. In tomato plants grown on steam-disinfected soils, total phenols and lignin decreased significantly. The inoculation of a mycorrhizal fungus partly rescued this response locally and systemically. Plants inoculated with the fungal pathogen showed reduced disease symptoms in the resistant genotype in both soils, but the susceptible genotype was partially protected from the pathogen only when grown on the suppressive soil.\r\nThe ‘state of alert’ detected in tomatoes reveals novel mechanisms operating in plants in native soils and the soil microbiota appears to be one of the drivers of these plant responses."],"format":[],"id":"50|dedup_wf_001::09e54cbad6670d8f40a7de2704e2d2a4","instance":[{"accessright":{"code":"c_16ec","label":"RESTRICTED","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::081b82f96300b6a6e3d282bad31cb6e2","value":"Crossref"},"hostedby":{"key":"10|issn___print::35ee75a5ad42581d604be113a8f56427","value":"New Phytologist"},"license":"http://doi.wiley.com/10.1002/tdm_license_1.1","publicationdate":"2018-02-09","refereed":"UNKNOWN","type":"Article","url":["https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fnph.15014","http://onlinelibrary.wiley.com/wol1/doi/10.1111/nph.15014/fullpdf","http://dx.doi.org/10.1111/nph.15014"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::8ac8380272269217cb09a928c8caa993","value":"UnpayWall"},"hostedby":{"key":"10|issn___print::35ee75a5ad42581d604be113a8f56427","value":"New Phytologist"},"refereed":"UNKNOWN","type":"Article","url":["https://nph.onlinelibrary.wiley.com/doi/pdfdirect/10.1111/nph.15014"]},{"collectedfrom":{"key":"10|openaire____::5f532a3fc4f1ea403f37070f59a7a53a","value":"Microsoft Academic Graph"},"hostedby":{"key":"10|issn___print::35ee75a5ad42581d604be113a8f56427","value":"New Phytologist"},"refereed":"UNKNOWN","type":"Article","url":["https://nph.onlinelibrary.wiley.com/doi/full/10.1111/nph.15014","https://nph.onlinelibrary.wiley.com/doi/pdf/10.1111/nph.15014","http://onlinelibrary.wiley.com/doi/10.1111/nph.15014/abstract","https://aperto.unito.it/handle/2318/1660820","https://academic.microsoft.com/#/detail/2793208206"]},{"accessright":{"code":"c_16ec","label":"RESTRICTED","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::89fcd07f20b6785b92134bd6c1d0fa42","value":"Archivio Istituzionale"},"hostedby":{"key":"10|opendoar____::89fcd07f20b6785b92134bd6c1d0fa42","value":"Archivio Istituzionale"},"publicationdate":"2018-01-01","refereed":"UNKNOWN","type":"Article","url":["http://hdl.handle.net/2318/1660820"]},{"collectedfrom":{"key":"10|openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"},"hostedby":{"key":"10|openaire____::55045bd2a65019fd8e6741a755395c8c","value":"Unknown Repository"},"publicationdate":"2018-12-01","refereed":"UNKNOWN","type":"Other literature type","url":["http://dx.doi.org/10.1111/nph.15014"]}],"language":{"code":"und","label":"Undetermined"},"lastupdatetimestamp":1603727328518,"maintitle":"Native soils with their microbiotas elicit a state of alert in tomato plants","originalId":["10.1111/nph.15014","2793208206","oai:iris.unito.it:2318/1660820"],"pid":[{"scheme":"doi","value":"10.1111/nph.15014"},{"scheme":"pmid","value":"29424928"}],"projects":[{"acronym":"TomRes","code":"727929","funder":{"fundingStream":"H2020","jurisdiction":"EU","name":"European Commission","shortName":"EC"},"id":"40|corda__h2020::94c4a066401e22002c4811a301bb4655","provenance":{"provenance":"Harvested","trust":"0.900000000000000022"},"title":"A NOVEL AND INTEGRATED APPROACH TO INCREASE MULTIPLE AND COMBINED STRESS TOLERANCE IN PLANTS USING TOMATO AS A MODEL"}],"publicationdate":"2018-12-01","publisher":"Wiley","subjects":[{"subject":{"scheme":"keywords","value":"Plant Science"}},{"subject":{"scheme":"keywords","value":"Physiology"}},{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"UNKNOWN","value":"Arbuscular mycorrhizal fungi; Defence responses; Lignin biosynthesis; Microbiota; Suppressive and conducive soils; Susceptible and resistant genotypes; Tomato; Physiology; Plant Science"}},{"provenance":{"provenance":"Inferred by OpenAIRE","trust":"0.891"},"subject":{"scheme":"mesheuropmc","value":"food and beverages"}},{"provenance":{"provenance":"Inferred by OpenAIRE","trust":"0.891"},"subject":{"scheme":"mesheuropmc","value":"fungi"}},{"provenance":{"provenance":"Inferred by OpenAIRE","trust":"0.8739"},"subject":{"scheme":"mesheuropmc","value":"complex mixtures"}}],"type":"publication"} +{"author":[{"fullname":"K.P. Moustris","name":"K. P.","rank":1,"surname":"Moustris"},{"fullname":"D. Zafirakis","name":"D.","rank":2,"surname":"Zafirakis"},{"fullname":"K.A. Kavvadias","name":"K. A.","rank":3,"surname":"Kavvadias"},{"fullname":"J.K. Kaldellis","name":"J. 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To this end, the main objective of this work is the prognosis of the mean, maximum and minimum hourly wind power (WP) 8hours ahead. For this purpose, Artificial Neural Networks (ANN) modeling is applied. For the appropriate training of the developed ANN models hourly meteorological data are used. These data have been recorded by a meteorological mast in Tilos Island, Greece.\n\nFor the evaluation of the developed ANN forecasting models proper statistical evaluation indices are used. According to the results, the coefficient of the determination ranges from 0.285 up to 0.768 (mean hourly WP), from 0.227 up to 0.798 (maximum hourly WP) and from 0.025 up to 0.398 (minimum hourly WP). Furthermore, the proposed forecasting methodology shows that is able to give sufficient and adequate prognosis of WP by a wind turbine in a specific location 8 hours ahead. 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Vertical velocities can be estimated indirectly from in situ observations by theoretical frameworks like the-equation. Direct measures of vertical exchanges are challenging due to their typically ephemeral spatiotemporal scales. In this study we address this problem with an adaptive sampling strategy coupling various biophysical instruments. We analyze the 3-D organization of a cyclonic mesoscale structure finely sampled during the Observing Submesoscale Coupling At High Resolution cruise in the Ligurian Sea during fall 2015. The observations, acquired with a moving vessel profiler, highlight a subsurface low-salinity layer (≃50 m), as well as rising isopycnals, generated by geostrophic cyclonic circulation, in the structure's center. Reconstructed 3-D fields of density and horizontal velocities are used to estimate the vertical velocity field down to 250 m by applying the adiabatic QG-equation, for the first time in this region. The vertical motions are characterized by multipolar patterns of downward and upward velocities on the edges of the structure and significantly smaller vertical velocities in its center. Both the 3-D distribution of particles (size ≥100 μm), measured with a laser optical plankton counter, and the Synechococcus and Prochlorococcus abundances (cell per cubic meter) measured by flow cytometry are consistent with the 3-D velocity field. In particular, a secondary vertical recirculation is identified that upwells particles (from 250 to 100 m) along isohalines to the structure's center. Besides demonstrating the effect of vertical patterns on biogeochemical distributions, this case study suggests to use particle matter as a tracer to assess physical dynamics."],"format":["application/pdf"],"id":"50|dedup_wf_001::0d16b1714ab3077df73893a8ea57d776","instance":[{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::7e7757b1e12abcb736ab9a754ffb617a","value":"Hyper Article en Ligne"},"hostedby":{"key":"10|opendoar____::7e7757b1e12abcb736ab9a754ffb617a","value":"Hyper Article en 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central problem for the function and manufacture of materials where performance relies on nanoscale structure is to control the compatibility and interactions of the building blocks. 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Ce qui nous frappe en premier lieu dans le roman de Melchior Mbonimpa, Le Totem des Baranda, c'est l'efficacité de sa fonction didactique. Le livre est porteur d'un message, d'une vision sur l'histoire de l'Afrique des Grands Lacs qu'on rencontre rarement dans l'actualité ou l'histoire immédiate que nous livrent les médias.

Cette thèse se penchera sur un aspect de ce roman qui a particulièrement attiré notre attention: la représentation de la résistance à travers l'affirmation identitaire des personnages féminins. Dans notre analyse de ce thème, nous accordons une grande importance au contexte socioculturel et à l'imaginaire collectif qui nourrissent l'auteur et dans lesquels s'inscrivent ses personnages. L'étude soulignera la fonction sociale de l'écrivain et relèvera la contribution de la fiction à la culture africaine. Nous mettrons en évidence les positions idéologiques de l'auteur et le message de sensibilisation qu'il adresse à diverses catégories de lecteurs: ceux qui se trouvent en Afrique, les Africains de la diaspora, et les lecteurs non-Africains qui s'intéressent à son œuvre. Cette orientation idéologique affecte évidemment la manière dont s'exprime la résistance des pnncIpaux personnages féminins du roman. Elle détermine la place que cette fiction accorde à la femme, et qui correspond sans doute à la place que, selon les souhaits de l'auteur, la femme devrait occuper dans le contexte culturel africain. Notre étude insiste aussi sur le fait que dans ce roman, la modernité se nourrit de la culture traditionnelle et ne renie pas les valeurs du passé.

Ainsi, le parcours narratif montre que dans leur résistance, les héroïnes de la généalogie vivent à leur époque, mais chacune porte plus loin une mission transmise par les précédentes.

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The superconducting transition in the magnetic resistance of members of the family of bismuth based high temperature superconductors was investigated. Measurements were performed in magnetic fields up to 1.7 T. Small current densities ranging from 0.03 A/cm² to 3.0 A/cm² were applied. The resistivity of Bi₂Sr₂CaCu₂Ox single crystals was analyzed in terms of the thermally activated flux flow expression, ρ =ρ₀U/T exp(-U/T) where T is the temperature. It was found that the activation energy was given by Uα(Hsinθ)^(⁻α) where α≈1/3 and that the prefactor had the form, ρ₀Hsinθ, where H was the applied field and θ the angle of the field with respect to the CuO₂ planes. Results demonstrated that dissipation could be accounted for by the motion of two-dimensional vortices whose density is given by the field, Hsinθ, projected on the CuO₂ planes. Measurements of the resistivity and current dependent resistivity were performed with two Sn-doped and two Sb-doped polycrystalline Bi(1.7)Pb(0.3)Sr₂Ca₂Cu₃O(y) samples. Features in the temperature derivative of the resistivity curves were associated with the presence of a superconducting transition between superconducting grains, coupled by weak links with a distribution of critical currents and critical temperatures, and the superconducting transition within grains. The transition between grains was more strongly suppressed in temperature with the application of a magnetic field in samples with weaker coupling between grains. The presence of a transition in a magnetic field due to weak links between grains was verified at 77 K by the observation of a current dependent resistivity in a magnetic field. Measurements of a Bi₂Sr₂CaCu₂Ox diffusion grown thick film ring were done. The transverse voltage, the voltage at the centre of a 120 μm thick branch with respect to the centre of a 76 μm thick branch, was measured. A higher critical temperature from the presence of more texturing in the 76 μm branch as determined by separate resistivity, x-ray and scanning electron microscopy measurements was consistent with the measurement of a crossover from a negative to positive transverse voltage as the temperature of the sample went through its superconducting transition.

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This study examines Leonard Cohen's novel Beautiful Losers through the lenses of allegorical and authorial theories to appreciate how the novel uses allegorical techniques to code into symbolic terms an exploration of the polysemous nature of the word ''translation.'' The first chapter studies the stylistic and conceptual dimensions of allegory as a literary genre - as critics like Northrop Frye, Angus Fletchet, and Maureen Quilligan help to define it - while arguing that Cohen's novel is consciously allegorical, challenging readers to interpret what it \"means,\" or may mean. The second chapter performs an intensive re-reading of Beautiful Losers, examining how the novel uses complex systems of verbal play (particularly puns) to coordinate a reunification of various dichotomies historical \"reality\"/imaginative myth, secularity/spirituality, enslavement/sanctification, among others - employed throughout the text. The thesis concludes that the novel is perpetually playing with various types of translation (spiritual, linguistic, physical, and so forth), affirming the need for emotionally-charged, devotional forms of expression (like song and prayer) over more clinical attempts to reorder or recreate the world and its inhabitants. Ultimately, this discussion argues that an understanding of the allegorical dimensions of Beautiful Losers may illuminate how Cohen's other works (particularly his songs) may be studied as attempts to associate word with voice, to emphasize the process of expression (translation) rather than just the finished product.

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La NDI a été étudiée dans le cas de diverses applications, y compris en aéronautique et en aérospatiale. Elle permet de calculer des lois de contrôle capables de linéariser et de découpler un modèle non-linéaire à tout point de fonctionnement de son enveloppe d'état. Cependant cette méthode est intrinsèquement non-robuste aux erreurs de modélisation et aux saturations en entrée. En outre, dans un contexte non-linéaire, l'obtention d'une garantie quantifiable du domaine de stabilité atteint reste à l'heure actuelle complexe. Contrairement aux approches classiques de la NDI, notre méthodologie peut être considérée comme un cadre de compensation non-linéaire généralisé qui permet d'intégrer les incertitudes et les saturations en entrée dans le processus de conception. En utilisant des stratégies de contrôle antiwindup, la loi de pilotage peut être calculée grâce à un simple processus en deux phases. Dans ce cadre de travail généralisé des transformations linéaires fractionnaires (LFT - Linear Fractional Transformations) de la boucle fermée non-linéaire peuvent être facilement déduites pour l'analyse de la stabilité robuste en utilisant des outils standards pour de systèmes linéaires. La méthode proposée est testée pour le pilotage d'un véhicule de rentrée atmosphérique de type aile delta lors de ses phases hypersonique, transsonique et subsonique. Pour cette thèse, un simulateur du vol incluant divers facteurs externes ainsi que des erreurs de modélisation a été développé dans Simulink.\n\nThis thesis work is devoted to extending Nonlinear Dynamic Inversion (NDI) for a large scale of\nnonlinear systems while guaranteeing sufficient stability conditions. NDI has been studied in a wide range of applications, including aeronautics and aerospace. It allows to compute nonlinear control laws able to decouple and linearize a model at any operating point of its state envelope. 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central problem for the function and manufacture of materials where performance relies on nanoscale structure is to control the compatibility and interactions of the building blocks. 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Ce qui nous frappe en premier lieu dans le roman de Melchior Mbonimpa, Le Totem des Baranda, c'est l'efficacité de sa fonction didactique. Le livre est porteur d'un message, d'une vision sur l'histoire de l'Afrique des Grands Lacs qu'on rencontre rarement dans l'actualité ou l'histoire immédiate que nous livrent les médias.

Cette thèse se penchera sur un aspect de ce roman qui a particulièrement attiré notre attention: la représentation de la résistance à travers l'affirmation identitaire des personnages féminins. Dans notre analyse de ce thème, nous accordons une grande importance au contexte socioculturel et à l'imaginaire collectif qui nourrissent l'auteur et dans lesquels s'inscrivent ses personnages. L'étude soulignera la fonction sociale de l'écrivain et relèvera la contribution de la fiction à la culture africaine. Nous mettrons en évidence les positions idéologiques de l'auteur et le message de sensibilisation qu'il adresse à diverses catégories de lecteurs: ceux qui se trouvent en Afrique, les Africains de la diaspora, et les lecteurs non-Africains qui s'intéressent à son œuvre. Cette orientation idéologique affecte évidemment la manière dont s'exprime la résistance des pnncIpaux personnages féminins du roman. Elle détermine la place que cette fiction accorde à la femme, et qui correspond sans doute à la place que, selon les souhaits de l'auteur, la femme devrait occuper dans le contexte culturel africain. Notre étude insiste aussi sur le fait que dans ce roman, la modernité se nourrit de la culture traditionnelle et ne renie pas les valeurs du passé.

Ainsi, le parcours narratif montre que dans leur résistance, les héroïnes de la généalogie vivent à leur époque, mais chacune porte plus loin une mission transmise par les précédentes.

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The superconducting transition in the magnetic resistance of members of the family of bismuth based high temperature superconductors was investigated. Measurements were performed in magnetic fields up to 1.7 T. Small current densities ranging from 0.03 A/cm² to 3.0 A/cm² were applied. The resistivity of Bi₂Sr₂CaCu₂Ox single crystals was analyzed in terms of the thermally activated flux flow expression, ρ =ρ₀U/T exp(-U/T) where T is the temperature. It was found that the activation energy was given by Uα(Hsinθ)^(⁻α) where α≈1/3 and that the prefactor had the form, ρ₀Hsinθ, where H was the applied field and θ the angle of the field with respect to the CuO₂ planes. Results demonstrated that dissipation could be accounted for by the motion of two-dimensional vortices whose density is given by the field, Hsinθ, projected on the CuO₂ planes. Measurements of the resistivity and current dependent resistivity were performed with two Sn-doped and two Sb-doped polycrystalline Bi(1.7)Pb(0.3)Sr₂Ca₂Cu₃O(y) samples. Features in the temperature derivative of the resistivity curves were associated with the presence of a superconducting transition between superconducting grains, coupled by weak links with a distribution of critical currents and critical temperatures, and the superconducting transition within grains. The transition between grains was more strongly suppressed in temperature with the application of a magnetic field in samples with weaker coupling between grains. The presence of a transition in a magnetic field due to weak links between grains was verified at 77 K by the observation of a current dependent resistivity in a magnetic field. Measurements of a Bi₂Sr₂CaCu₂Ox diffusion grown thick film ring were done. The transverse voltage, the voltage at the centre of a 120 μm thick branch with respect to the centre of a 76 μm thick branch, was measured. A higher critical temperature from the presence of more texturing in the 76 μm branch as determined by separate resistivity, x-ray and scanning electron microscopy measurements was consistent with the measurement of a crossover from a negative to positive transverse voltage as the temperature of the sample went through its superconducting transition.

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This study examines Leonard Cohen's novel Beautiful Losers through the lenses of allegorical and authorial theories to appreciate how the novel uses allegorical techniques to code into symbolic terms an exploration of the polysemous nature of the word ''translation.'' The first chapter studies the stylistic and conceptual dimensions of allegory as a literary genre - as critics like Northrop Frye, Angus Fletchet, and Maureen Quilligan help to define it - while arguing that Cohen's novel is consciously allegorical, challenging readers to interpret what it \"means,\" or may mean. The second chapter performs an intensive re-reading of Beautiful Losers, examining how the novel uses complex systems of verbal play (particularly puns) to coordinate a reunification of various dichotomies historical \"reality\"/imaginative myth, secularity/spirituality, enslavement/sanctification, among others - employed throughout the text. The thesis concludes that the novel is perpetually playing with various types of translation (spiritual, linguistic, physical, and so forth), affirming the need for emotionally-charged, devotional forms of expression (like song and prayer) over more clinical attempts to reorder or recreate the world and its inhabitants. Ultimately, this discussion argues that an understanding of the allegorical dimensions of Beautiful Losers may illuminate how Cohen's other works (particularly his songs) may be studied as attempts to associate word with voice, to emphasize the process of expression (translation) rather than just the finished product.

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b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/oaf_record.xml index 2c6c98ebb3..f4b0c477fb 100644 --- a/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/oaf_record.xml +++ b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/oaf_record.xml @@ -51,7 +51,7 @@ 0001 2017-01-01 - corda_______::226852 + corda_______::226852 OPEN und - corda_______::226852 + corda_______::226852 0001s