forked from D-Net/dnet-hadoop
next step of MAG conversion implemented
This commit is contained in:
parent
a92ee0f41e
commit
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@ -0,0 +1,104 @@
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package eu.dnetlib.doiboost
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import eu.dnetlib.dhp.schema.oaf.{DataInfo, Dataset, Field, KeyValue, Qualifier, Result, StructuredProperty}
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import eu.dnetlib.dhp.utils.DHPUtils
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object DoiBoostMappingUtil {
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//STATIC STRING
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val MAG = "microsoft"
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val ORCID = "ORCID"
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val CROSSREF = "Crossref"
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val UNPAYWALL = "UnpayWall"
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val GRID_AC = "grid.ac"
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val WIKPEDIA = "wikpedia"
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val doiBoostNSPREFIX = "doiboost____"
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val OPENAIRE_PREFIX = "openaire____"
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val SEPARATOR = "::"
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val DNET_LANGUAGES = "dnet:languages"
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val PID_TYPES = "dnet:pid_types"
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def generateDataInfo(): DataInfo = {
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val di = new DataInfo
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di.setDeletedbyinference(false)
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di.setInferred(false)
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di.setInvisible(false)
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di.setTrust("0.9")
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di.setProvenanceaction(createQualifier("sysimport:actionset", "dnet:provenanceActions"))
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di
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}
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def createSP(value: String, classId: String, schemeId: String): StructuredProperty = {
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val sp = new StructuredProperty
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sp.setQualifier(createQualifier(classId, schemeId))
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sp.setValue(value)
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sp
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}
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def createSP(value: String, classId: String, schemeId: String, dataInfo: DataInfo): StructuredProperty = {
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val sp = new StructuredProperty
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sp.setQualifier(createQualifier(classId, schemeId))
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sp.setValue(value)
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sp.setDataInfo(dataInfo)
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sp
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}
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def createCrossrefCollectedFrom(): KeyValue = {
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val cf = new KeyValue
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cf.setValue(CROSSREF)
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cf.setKey("10|" + OPENAIRE_PREFIX + SEPARATOR + DHPUtils.md5("crossref"))
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cf
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}
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def generateIdentifier(oaf: Result, doi: String): String = {
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val id = DHPUtils.md5(doi.toLowerCase)
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if (oaf.isInstanceOf[Dataset])
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return s"60|${doiBoostNSPREFIX}${SEPARATOR}${id}"
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s"50|${doiBoostNSPREFIX}${SEPARATOR}${id}"
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}
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def createMAGCollectedFrom(): KeyValue = {
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val cf = new KeyValue
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cf.setValue(MAG)
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cf.setKey("10|" + OPENAIRE_PREFIX + SEPARATOR + DHPUtils.md5(MAG))
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cf
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}
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def createQualifier(clsName: String, clsValue: String, schName: String, schValue: String): Qualifier = {
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val q = new Qualifier
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q.setClassid(clsName)
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q.setClassname(clsValue)
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q.setSchemeid(schName)
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q.setSchemename(schValue)
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q
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}
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def createQualifier(cls: String, sch: String): Qualifier = {
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createQualifier(cls, cls, sch, sch)
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}
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def asField[T](value: T): Field[T] = {
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val tmp = new Field[T]
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tmp.setValue(value)
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tmp
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}
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}
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@ -14,6 +14,7 @@ import org.slf4j.{Logger, LoggerFactory}
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import scala.collection.JavaConverters._
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import scala.collection.mutable
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import scala.util.matching.Regex
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import eu.dnetlib.doiboost.DoiBoostMappingUtil._
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case class mappingAffiliation(name: String) {}
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@ -25,18 +26,7 @@ case class mappingFunder(name: String, DOI: Option[String], award: Option[List[S
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case object Crossref2Oaf {
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val logger: Logger = LoggerFactory.getLogger(Crossref2Oaf.getClass)
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//STATIC STRING
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val MAG = "MAG"
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val ORCID = "ORCID"
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val CROSSREF = "Crossref"
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val UNPAYWALL = "UnpayWall"
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val GRID_AC = "grid.ac"
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val WIKPEDIA = "wikpedia"
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val doiBoostNSPREFIX = "doiboost____"
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val OPENAIRE_PREFIX = "openaire____"
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val SEPARATOR = "::"
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val DNET_LANGUAGES = "dnet:languages"
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val PID_TYPES = "dnet:pid_types"
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val mappingCrossrefType = Map(
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"book-section" -> "publication",
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@ -116,7 +106,7 @@ case object Crossref2Oaf {
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result.setLastupdatetimestamp((json \ "indexed" \ "timestamp").extract[Long])
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result.setDateofcollection((json \ "indexed" \ "date-time").extract[String])
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result.setCollectedfrom(List(createCollectedFrom()).asJava)
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result.setCollectedfrom(List(createCrossrefCollectedFrom()).asJava)
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// Publisher ( Name of work's publisher mapped into Result/Publisher)
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val publisher = (json \ "publisher").extractOrElse[String](null)
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@ -168,7 +158,7 @@ case object Crossref2Oaf {
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result.setInstance(List(instance).asJava)
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instance.setInstancetype(createQualifier(cobjCategory.substring(0, 4), cobjCategory.substring(5), "dnet:publication_resource", "dnet:publication_resource"))
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instance.setCollectedfrom(createCollectedFrom())
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instance.setCollectedfrom(createCrossrefCollectedFrom())
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if (StringUtils.isNotBlank(issuedDate)) {
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instance.setDateofacceptance(asField(issuedDate))
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}
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@ -215,7 +205,7 @@ case object Crossref2Oaf {
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val funderList: List[mappingFunder] = (json \ "funder").extractOrElse[List[mappingFunder]](List())
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if (funderList.nonEmpty) {
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resultList = resultList ::: mappingFunderToRelations(funderList, result.getId, createCollectedFrom(), result.getDataInfo, result.getLastupdatetimestamp)
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resultList = resultList ::: mappingFunderToRelations(funderList, result.getId, createCrossrefCollectedFrom(), result.getDataInfo, result.getLastupdatetimestamp)
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}
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@ -416,71 +406,8 @@ case object Crossref2Oaf {
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}
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def generateIdentifier(oaf: Result, doi: String): String = {
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val id = DHPUtils.md5(doi.toLowerCase)
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if (oaf.isInstanceOf[Dataset])
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return s"60|${doiBoostNSPREFIX}${SEPARATOR}${id}"
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s"50|${doiBoostNSPREFIX}${SEPARATOR}${id}"
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}
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def asField[T](value: T): Field[T] = {
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val tmp = new Field[T]
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tmp.setValue(value)
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tmp
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}
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def generateDataInfo(): DataInfo = {
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val di = new DataInfo
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di.setDeletedbyinference(false)
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di.setInferred(false)
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di.setInvisible(false)
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di.setTrust("0.9")
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di.setProvenanceaction(createQualifier("sysimport:actionset", "dnet:provenanceActions"))
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di
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}
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def createSP(value: String, classId: String, schemeId: String): StructuredProperty = {
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val sp = new StructuredProperty
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sp.setQualifier(createQualifier(classId, schemeId))
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sp.setValue(value)
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sp
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}
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def createSP(value: String, classId: String, schemeId: String, dataInfo: DataInfo): StructuredProperty = {
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val sp = new StructuredProperty
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sp.setQualifier(createQualifier(classId, schemeId))
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sp.setValue(value)
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sp.setDataInfo(dataInfo)
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sp
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}
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def createCollectedFrom(): KeyValue = {
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val cf = new KeyValue
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cf.setValue(CROSSREF)
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cf.setKey("10|" + OPENAIRE_PREFIX + SEPARATOR + DHPUtils.md5("crossref"))
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cf
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}
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def createQualifier(clsName: String, clsValue: String, schName: String, schValue: String): Qualifier = {
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val q = new Qualifier
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q.setClassid(clsName)
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q.setClassname(clsValue)
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q.setSchemeid(schName)
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q.setSchemename(schValue)
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q
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}
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def createQualifier(cls: String, sch: String): Qualifier = {
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createQualifier(cls, cls, sch, sch)
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}
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def generateItemFromType(objectType: String, objectSubType: String): Result = {
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@ -1,12 +1,18 @@
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package eu.dnetlib.doiboost.mag
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import eu.dnetlib.dhp.schema.oaf.{Instance, Journal, Publication}
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import org.json4s
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import org.json4s.DefaultFormats
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import org.json4s.jackson.JsonMethods.parse
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import eu.dnetlib.doiboost.DoiBoostMappingUtil._
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import scala.collection.JavaConverters._
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import scala.collection.mutable
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import scala.util.matching.Regex
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case class Papers(PaperId:Long, Rank:Integer, Doi:String,
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case class MagPapers(PaperId: Long, Rank: Integer, Doi: String,
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DocType: String, PaperTitle: String, OriginalTitle: String,
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BookTitle: String, Year: Option[Integer], Date: Option[java.sql.Timestamp], Publisher: String,
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JournalId: Option[Long], ConferenceSeriesId: Option[Long], ConferenceInstanceId: Option[Long],
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@ -15,28 +21,182 @@ case class Papers(PaperId:Long, Rank:Integer, Doi:String,
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OriginalVenue: String, FamilyId: Option[Long], CreatedDate: java.sql.Timestamp) {}
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case class PaperAbstract(PaperId:Long,IndexedAbstract:String) {}
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case class MagPaperAbstract(PaperId: Long, IndexedAbstract: String) {}
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case class MagAuthor(AuthorId: Long, Rank: Option[Int], NormalizedName: Option[String], DisplayName: Option[String], LastKnownAffiliationId: Option[Long], PaperCount: Option[Long], CitationCount: Option[Long], CreatedDate: Option[java.sql.Timestamp]) {}
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case class MagAffiliation(AffiliationId: Long, Rank: Int, NormalizedName: String, DisplayName: String, GridId: String, OfficialPage: String, WikiPage: String, PaperCount: Long, CitationCount: Long, Latitude: Option[Float], Longitude: Option[Float], CreatedDate: java.sql.Timestamp) {}
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case class MagPaperAuthorAffiliation(PaperId: Long, AuthorId: Long, AffiliationId: Option[Long], AuthorSequenceNumber: Int, OriginalAuthor: String, OriginalAffiliation: String) {}
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case class MagAuthorAffiliation(author: MagAuthor, affiliation:String)
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case class MagPaperWithAuthorList(PaperId: Long, authors: List[MagAuthorAffiliation]) {}
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case class MagPaperAuthorDenormalized(PaperId: Long, author: MagAuthor, affiliation:String) {}
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case class MagPaperUrl(PaperId: Long, SourceType: Option[Int], SourceUrl: Option[String], LanguageCode: Option[String]) {}
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case class MagUrl(PaperId: Long, instances: List[String])
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case class MagJournal(JournalId: Long, Rank: Option[Int], NormalizedName: Option[String], DisplayName: Option[String], Issn: Option[String], Publisher: Option[String], Webpage: Option[String], PaperCount: Option[Long], CitationCount: Option[Long], CreatedDate: Option[java.sql.Timestamp]) {}
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case object ConversionUtil {
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def extractMagIdentifier(pids:mutable.Buffer[String]) :String ={
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val magIDRegex: Regex = "^[0-9]+$".r
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val s =pids.filter(p=> magIDRegex.findAllIn(p).hasNext)
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def transformPaperAbstract(input:PaperAbstract) : PaperAbstract = {
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PaperAbstract(input.PaperId, convertInvertedIndexString(input.IndexedAbstract))
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if (s.nonEmpty)
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return s.head
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null
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}
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def addInstances(a: (Publication, MagUrl)): Publication = {
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val pub = a._1
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val urls = a._2
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val i = new Instance
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if (urls!= null) {
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val l:List[String] = urls.instances.filter(k=>k.nonEmpty):::List(s"https://academic.microsoft.com/#/detail/${extractMagIdentifier(pub.getOriginalId.asScala)}")
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i.setUrl(l.asJava)
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}
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else
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i.setUrl(List(s"https://academic.microsoft.com/#/detail/${extractMagIdentifier(pub.getOriginalId.asScala)}").asJava)
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i.setCollectedfrom(createMAGCollectedFrom())
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pub.setInstance(List(i).asJava)
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pub
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}
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def transformPaperAbstract(input: MagPaperAbstract): MagPaperAbstract = {
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MagPaperAbstract(input.PaperId, convertInvertedIndexString(input.IndexedAbstract))
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}
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def createOAFFromJournalAuthorPaper(inputParams: ((MagPapers, MagJournal), MagPaperWithAuthorList)): Publication = {
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val paper = inputParams._1._1
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val journal = inputParams._1._2
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val authors = inputParams._2
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val pub = new Publication
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pub.setPid(List(createSP(paper.Doi.toLowerCase, "doi", PID_TYPES)).asJava)
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pub.setOriginalId(List(paper.PaperId.toString, paper.Doi.toLowerCase).asJava)
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//Set identifier as {50|60} | doiboost____::md5(DOI)
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pub.setId(generateIdentifier(pub, paper.Doi.toLowerCase))
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val mainTitles = createSP(paper.PaperTitle, "main title", "dnet:dataCite_title")
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val originalTitles = createSP(paper.OriginalTitle, "alternative title", "dnet:dataCite_title")
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pub.setTitle(List(mainTitles, originalTitles).asJava)
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pub.setSource(List(asField(paper.BookTitle)).asJava)
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val authorsOAF = authors.authors.map { f: MagAuthorAffiliation =>
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val a: eu.dnetlib.dhp.schema.oaf.Author = new eu.dnetlib.dhp.schema.oaf.Author
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a.setFullname(f.author.DisplayName.get)
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if(f.affiliation!= null)
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a.setAffiliation(List(asField(f.affiliation)).asJava)
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a.setPid(List(createSP(s"https://academic.microsoft.com/#/detail/${f.author.AuthorId}", "URL", PID_TYPES)).asJava)
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a
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}
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pub.setAuthor(authorsOAF.asJava)
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if (paper.Date != null && paper.Date.isDefined) {
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pub.setDateofacceptance(asField(paper.Date.get.toString))
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}
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pub.setPublisher(asField(paper.Publisher))
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if (journal != null && journal.DisplayName.isDefined) {
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val j = new Journal
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j.setName(journal.DisplayName.get)
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j.setSp(paper.FirstPage)
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j.setEp(paper.LastPage)
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if (journal.Publisher.isDefined)
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j.setEdition(journal.Publisher.get)
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if (journal.Issn.isDefined)
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j.setIssnPrinted(journal.Issn.get)
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pub.setJournal(j)
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}
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pub
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}
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def createOAF(inputParams: ((MagPapers, MagPaperWithAuthorList), MagPaperAbstract)): Publication = {
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val paper = inputParams._1._1
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val authors = inputParams._1._2
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val description = inputParams._2
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val pub = new Publication
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pub.setPid(List(createSP(paper.Doi.toLowerCase, "doi", PID_TYPES)).asJava)
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pub.setOriginalId(List(paper.PaperId.toString, paper.Doi.toLowerCase).asJava)
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//Set identifier as {50|60} | doiboost____::md5(DOI)
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pub.setId(generateIdentifier(pub, paper.Doi.toLowerCase))
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val mainTitles = createSP(paper.PaperTitle, "main title", "dnet:dataCite_title")
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val originalTitles = createSP(paper.OriginalTitle, "alternative title", "dnet:dataCite_title")
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pub.setTitle(List(mainTitles, originalTitles).asJava)
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pub.setSource(List(asField(paper.BookTitle)).asJava)
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if (description != null) {
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pub.setDescription(List(asField(description.IndexedAbstract)).asJava)
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}
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val authorsOAF = authors.authors.map { f: MagAuthorAffiliation =>
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val a: eu.dnetlib.dhp.schema.oaf.Author = new eu.dnetlib.dhp.schema.oaf.Author
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a.setFullname(f.author.DisplayName.get)
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if(f.affiliation!= null)
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a.setAffiliation(List(asField(f.affiliation)).asJava)
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a.setPid(List(createSP(s"https://academic.microsoft.com/#/detail/${f.author.AuthorId}", "URL", PID_TYPES)).asJava)
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a
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}
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if (paper.Date != null) {
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pub.setDateofacceptance(asField(paper.Date.toString))
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}
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pub.setAuthor(authorsOAF.asJava)
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pub
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}
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def convertInvertedIndexString(json_input: String): String = {
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implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
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lazy val json: json4s.JValue = parse(json_input)
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val idl = (json \ "IndexLength").extract[Int]
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if (idl > 0) {
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val res = Array.ofDim[String](idl)
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@ -45,8 +205,11 @@ case object ConversionUtil {
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for {(k: String, v: List[Int]) <- iid} {
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v.foreach(item => res(item) = k)
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}
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(0 until idl).foreach(i => {
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if (res(i) == null)
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res(i) = ""
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})
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return res.mkString(" ")
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}
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""
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}
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@ -1,13 +1,17 @@
|
|||
package eu.dnetlib.doiboost.mag
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.schema.oaf.Publication
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil.asField
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.rdd.RDD
|
||||
import org.apache.spark.sql.{Dataset, SaveMode, SparkSession}
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
import org.apache.spark.sql.functions._
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
|
||||
object SparkPreProcessMAG {
|
||||
|
||||
|
||||
|
|
@ -23,15 +27,21 @@ object SparkPreProcessMAG {
|
|||
.config(conf)
|
||||
.appName(getClass.getSimpleName)
|
||||
.master(parser.get("master")).getOrCreate()
|
||||
|
||||
val sourcePath = parser.get("sourcePath")
|
||||
import spark.implicits._
|
||||
implicit val mapEncoderPubs: Encoder[Publication] = org.apache.spark.sql.Encoders.kryo[Publication]
|
||||
implicit val tupleForJoinEncoder = Encoders.tuple(Encoders.STRING, mapEncoderPubs)
|
||||
|
||||
|
||||
|
||||
logger.info("Phase 1) make uninque DOI in Papers:")
|
||||
|
||||
val d: Dataset[Papers] = spark.read.load(s"${parser.get("sourcePath")}/Papers").as[Papers]
|
||||
val d: Dataset[MagPapers] = spark.read.load(s"${parser.get("sourcePath")}/Papers").as[MagPapers]
|
||||
|
||||
|
||||
// Filtering Papers with DOI, and since for the same DOI we have multiple version of item with different PapersId we get the last one
|
||||
val result: RDD[Papers] = d.where(col("Doi").isNotNull).rdd.map { p: Papers => Tuple2(p.Doi, p) }.reduceByKey { case (p1: Papers, p2: Papers) =>
|
||||
val result: RDD[MagPapers] = d.where(col("Doi").isNotNull).rdd.map { p: MagPapers => Tuple2(p.Doi, p) }.reduceByKey { case (p1: MagPapers, p2: MagPapers) =>
|
||||
var r = if (p1 == null) p2 else p1
|
||||
if (p1 != null && p2 != null) {
|
||||
if (p1.CreatedDate != null && p2.CreatedDate != null) {
|
||||
|
|
@ -46,16 +56,83 @@ object SparkPreProcessMAG {
|
|||
r
|
||||
}.map(_._2)
|
||||
|
||||
val distinctPaper: Dataset[Papers] = spark.createDataset(result)
|
||||
val distinctPaper: Dataset[MagPapers] = spark.createDataset(result)
|
||||
distinctPaper.write.mode(SaveMode.Overwrite).save(s"${parser.get("targetPath")}/Papers_distinct")
|
||||
logger.info(s"Total number of element: ${result.count()}")
|
||||
|
||||
logger.info("Phase 2) convert InverdIndex Abastrac to string")
|
||||
val pa = spark.read.load(s"${parser.get("sourcePath")}/PaperAbstractsInvertedIndex").as[PaperAbstract]
|
||||
logger.info("Phase 3) Group Author by PaperId")
|
||||
val authors = spark.read.load(s"$sourcePath/Authors").as[MagAuthor]
|
||||
|
||||
val affiliation =spark.read.load(s"$sourcePath/Affiliations").as[MagAffiliation]
|
||||
|
||||
val paperAuthorAffiliation =spark.read.load(s"$sourcePath/PaperAuthorAffiliations").as[MagPaperAuthorAffiliation]
|
||||
|
||||
|
||||
paperAuthorAffiliation.joinWith(authors, paperAuthorAffiliation("AuthorId").equalTo(authors("AuthorId")))
|
||||
.map{case (a:MagPaperAuthorAffiliation,b:MagAuthor )=> (a.AffiliationId,MagPaperAuthorDenormalized(a.PaperId, b, null)) }
|
||||
.joinWith(affiliation, affiliation("AffiliationId").equalTo(col("_1")), "left")
|
||||
.map(s => {
|
||||
val mpa = s._1._2
|
||||
val af = s._2
|
||||
if (af!= null) {
|
||||
MagPaperAuthorDenormalized(mpa.PaperId, mpa.author, af.DisplayName)
|
||||
} else
|
||||
mpa
|
||||
}).groupBy("PaperId").agg(collect_list(struct($"author", $"affiliation")).as("authors"))
|
||||
.write.mode(SaveMode.Overwrite).save(s"${parser.get("targetPath")}/merge_step_1_paper_authors")
|
||||
|
||||
|
||||
|
||||
logger.info("Phase 4) create First Version of publication Entity with Paper Journal and Authors")
|
||||
|
||||
|
||||
val journals = spark.read.load(s"$sourcePath/Journals").as[MagJournal]
|
||||
|
||||
val papers =spark.read.load((s"${parser.get("targetPath")}/Papers_distinct")).as[MagPapers]
|
||||
|
||||
val paperWithAuthors = spark.read.load(s"${parser.get("targetPath")}/merge_step_1_paper_authors").as[MagPaperWithAuthorList]
|
||||
|
||||
|
||||
|
||||
val firstJoin =papers.joinWith(journals, papers("JournalId").equalTo(journals("JournalId")),"left")
|
||||
firstJoin.joinWith(paperWithAuthors, firstJoin("_1.PaperId").equalTo(paperWithAuthors("PaperId")), "left")
|
||||
.map { a: ((MagPapers, MagJournal), MagPaperWithAuthorList) => ConversionUtil.createOAFFromJournalAuthorPaper(a) }.write.mode(SaveMode.Overwrite).save(s"${parser.get("targetPath")}/merge_step_2")
|
||||
|
||||
|
||||
|
||||
var magPubs:Dataset[(String,Publication)] = spark.read.load(s"${parser.get("targetPath")}/merge_step_2").as[Publication].map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p)).as[(String,Publication)]
|
||||
|
||||
val paperUrlDataset = spark.read.load(s"$sourcePath/PaperUrls").as[MagPaperUrl].groupBy("PaperId").agg(collect_list(struct("sourceUrl")).as("instances")).as[MagUrl]
|
||||
|
||||
|
||||
logger.info("Phase 5) enrich publication with URL and Instances")
|
||||
|
||||
magPubs.joinWith(paperUrlDataset, col("_1").equalTo(paperUrlDataset("PaperId")), "left")
|
||||
.map{a:((String,Publication), MagUrl) => ConversionUtil.addInstances((a._1._2, a._2))}
|
||||
.write.mode(SaveMode.Overwrite)
|
||||
.save(s"${parser.get("targetPath")}/merge_step_3")
|
||||
|
||||
|
||||
|
||||
logger.info("Phase 6) Enrich Publication with description")
|
||||
val pa = spark.read.load(s"${parser.get("sourcePath")}/PaperAbstractsInvertedIndex").as[MagPaperAbstract]
|
||||
pa.map(ConversionUtil.transformPaperAbstract).write.mode(SaveMode.Overwrite).save(s"${parser.get("targetPath")}/PaperAbstract")
|
||||
|
||||
val paperAbstract =spark.read.load((s"${parser.get("targetPath")}/PaperAbstract")).as[MagPaperAbstract]
|
||||
|
||||
distinctPaper.joinWith(pa, col("PaperId").eqia)
|
||||
|
||||
magPubs = spark.read.load(s"${parser.get("targetPath")}/merge_step_3").as[Publication].map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p)).as[(String,Publication)]
|
||||
|
||||
magPubs.joinWith(paperAbstract,col("_1").equalTo(paperAbstract("PaperId")), "left").map(p=>
|
||||
{
|
||||
val pub = p._1._2
|
||||
val abst = p._2
|
||||
if (abst!= null) {
|
||||
pub.setDescription(List(asField(abst.IndexedAbstract)).asJava)
|
||||
}
|
||||
pub
|
||||
}
|
||||
).write.mode(SaveMode.Overwrite).save(s"${parser.get("targetPath")}/merge_step_4")
|
||||
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -72,6 +72,7 @@
|
|||
--executor-memory=${sparkExecutorMemory}
|
||||
--executor-cores=${sparkExecutorCores}
|
||||
--driver-memory=${sparkDriverMemory}
|
||||
--conf spark.sql.shuffle.partitions=3840
|
||||
${sparkExtraOPT}
|
||||
</spark-opts>
|
||||
<arg>--sourcePath</arg><arg>${sourcePath}</arg>
|
||||
|
|
|
|||
|
|
@ -11,6 +11,10 @@
|
|||
<name>queueName</name>
|
||||
<value>default</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.use.system.libpath</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.action.sharelib.for.spark</name>
|
||||
<value>spark2</value>
|
||||
|
|
|
|||
|
|
@ -16,6 +16,10 @@
|
|||
<name>sparkExecutorCores</name>
|
||||
<description>number of cores used by single executor</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>outputPath</name>
|
||||
<description>the working dir base path</description>
|
||||
</property>
|
||||
</parameters>
|
||||
|
||||
<start to="ResetWorkingPath"/>
|
||||
|
|
@ -47,6 +51,7 @@
|
|||
</spark-opts>
|
||||
<arg>-mt</arg> <arg>yarn</arg>
|
||||
<arg>--workingPath_orcid</arg><arg>${workingPath_activities}/</arg>
|
||||
<arg>-o</arg><arg>${outputPath}/</arg>
|
||||
</spark>
|
||||
<ok to="End"/>
|
||||
<error to="Kill"/>
|
||||
|
|
|
|||
|
|
@ -1,10 +1,21 @@
|
|||
package eu.dnetlib.doiboost.mag
|
||||
|
||||
import org.codehaus.jackson.map.ObjectMapper
|
||||
import eu.dnetlib.dhp.schema.oaf.Publication
|
||||
import org.apache.htrace.fasterxml.jackson.databind.SerializationFeature
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.api.java.function.MapFunction
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.codehaus.jackson.map.{ObjectMapper, SerializationConfig}
|
||||
import org.junit.jupiter.api.Test
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
import org.apache.spark.sql.functions._
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
import scala.io.Source
|
||||
import scala.reflect.ClassTag
|
||||
import scala.util.matching.Regex
|
||||
|
||||
|
||||
|
||||
class MAGMappingTest {
|
||||
|
|
@ -13,9 +24,44 @@ class MAGMappingTest {
|
|||
val mapper = new ObjectMapper()
|
||||
|
||||
|
||||
//@Test
|
||||
@Test
|
||||
def testMAGCSV(): Unit = {
|
||||
SparkPreProcessMAG.main("-m local[*] -s /data/doiboost/mag/datasets -t /data/doiboost/mag/datasets/preprocess".split(" "))
|
||||
// SparkPreProcessMAG.main("-m local[*] -s /data/doiboost/mag/datasets -t /data/doiboost/mag/datasets/preprocess".split(" "))
|
||||
|
||||
val sparkConf: SparkConf = new SparkConf
|
||||
|
||||
val spark: SparkSession = SparkSession.builder()
|
||||
.config(sparkConf)
|
||||
.appName(getClass.getSimpleName)
|
||||
.master("local[*]")
|
||||
.getOrCreate()
|
||||
|
||||
import spark.implicits._
|
||||
|
||||
|
||||
implicit val mapEncoderPubs: Encoder[Publication] = org.apache.spark.sql.Encoders.kryo[Publication]
|
||||
implicit val longBarEncoder = Encoders.tuple(Encoders.STRING, mapEncoderPubs)
|
||||
|
||||
val sourcePath = "/data/doiboost/mag/input"
|
||||
|
||||
mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
|
||||
|
||||
|
||||
val magOAF = spark.read.load("$sourcePath/merge_step_4").as[Publication]
|
||||
|
||||
println(magOAF.first().getOriginalId)
|
||||
|
||||
|
||||
magOAF.map(k => (ConversionUtil.extractMagIdentifier(k.getOriginalId.asScala),k)).as[(String,Publication)].show()
|
||||
|
||||
|
||||
println((ConversionUtil.extractMagIdentifier(magOAF.first().getOriginalId.asScala)))
|
||||
|
||||
val magIDRegex: Regex = "^[0-9]+$".r
|
||||
|
||||
|
||||
println(magIDRegex.findFirstMatchIn("suca").isDefined)
|
||||
|
||||
}
|
||||
|
||||
|
||||
|
|
@ -32,3 +78,5 @@ class MAGMappingTest {
|
|||
|
||||
|
||||
}
|
||||
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue