forked from D-Net/dnet-hadoop
mapping generated for MAG,
missing generation of Organization Action set
This commit is contained in:
parent
ef582948a7
commit
98dc042db5
|
@ -12,9 +12,9 @@
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"paramRequired": true
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},
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{
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"paramName": "w",
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"paramLongName": "workingPath",
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"paramDescription": "The working path",
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"paramName": "ma",
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"paramLongName": "magBasePath",
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"paramDescription": "The mag Base path",
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"paramRequired": false
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}
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@ -10,12 +10,6 @@
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"paramLongName": "magBasePath",
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"paramDescription": "The base path of MAG DUMP CSV Tables",
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"paramRequired": true
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},
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{
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"paramName": "w",
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"paramLongName": "workingPath",
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"paramDescription": "The working path",
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"paramRequired": false
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}
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]
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@ -8,10 +8,6 @@
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<name>mdstorePath</name>
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<description>The base path of MAG DUMP CSV Tables</description>
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</property>
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<property>
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<name>workingPath</name>
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<description>The working path</description>
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</property>
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<property>
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<name>resume_from</name>
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<value>generateOAF</value>
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@ -53,7 +49,6 @@
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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</spark-opts>
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<arg>--magBasePath</arg><arg>${magBasePath}</arg>
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<arg>--workingPath</arg><arg>${workingPath}</arg>
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<arg>--master</arg><arg>yarn</arg>
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</spark>
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<ok to="generateOAF"/>
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@ -79,7 +74,7 @@
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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</spark-opts>
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<arg>--mdstorePath</arg><arg>${mdstorePath}</arg>
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<arg>--workingPath</arg><arg>${workingPath}</arg>
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<arg>--magBasePath</arg><arg>${magBasePath}</arg>
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<arg>--master</arg><arg>yarn</arg>
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</spark>
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<ok to="End"/>
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@ -952,7 +952,7 @@ case object Crossref2Oaf {
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val targetId = getProjectId("hfri________", "1e5e62235d094afd01cd56e65112fc63")
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queue += generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY)
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queue += generateRelation(targetId, sourceId, ModelConstants.PRODUCES)
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//ERASMUS+
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//ERASMUS+
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case "10.13039/501100010790" =>
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generateSimpleRelationFromAward(funder, "erasmusplus_", a => a)
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case _ => logger.debug("no match for " + funder.DOI.get)
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@ -4,7 +4,16 @@ import com.fasterxml.jackson.databind.ObjectMapper
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import eu.dnetlib.dhp.schema.common.ModelConstants
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import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils._
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import eu.dnetlib.dhp.schema.oaf.utils.{OafMapperUtils, PidType}
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import eu.dnetlib.dhp.schema.oaf.{Author, DataInfo, Instance, Journal, Publication, Result, Dataset => OafDataset}
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import eu.dnetlib.dhp.schema.oaf.{
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Author,
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DataInfo,
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Instance,
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Journal,
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Publication,
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Relation,
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Result,
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Dataset => OafDataset
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}
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import eu.dnetlib.dhp.utils.DHPUtils
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import org.apache.spark.sql.types._
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import org.apache.spark.sql.{Dataset, Row, SparkSession}
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@ -65,7 +74,41 @@ object MagUtility extends Serializable {
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val mapper = new ObjectMapper()
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val MAGCollectedFrom =keyValue(ModelConstants.MAG_ID,ModelConstants.MAG_NAME)
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private val MAGCollectedFrom = keyValue(ModelConstants.MAG_ID, ModelConstants.MAG_NAME)
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private val MAGDataInfo: 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(
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OafMapperUtils.qualifier(
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ModelConstants.SYSIMPORT_ACTIONSET,
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ModelConstants.SYSIMPORT_ACTIONSET,
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ModelConstants.DNET_PROVENANCE_ACTIONS,
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ModelConstants.DNET_PROVENANCE_ACTIONS
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)
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)
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di
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}
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private val MAGDataInfoInvisible: 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(true)
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di.setTrust("0.9")
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di.setProvenanceaction(
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OafMapperUtils.qualifier(
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ModelConstants.SYSIMPORT_ACTIONSET,
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ModelConstants.SYSIMPORT_ACTIONSET,
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ModelConstants.DNET_PROVENANCE_ACTIONS,
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ModelConstants.DNET_PROVENANCE_ACTIONS
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)
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)
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di
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}
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val datatypedict = Map(
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"bool" -> BooleanType,
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@ -308,15 +351,14 @@ object MagUtility extends Serializable {
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def getSchema(streamName: String): StructType = {
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var schema = new StructType()
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val d: Seq[String] = stream(streamName)._2
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d.foreach {
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case t =>
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val currentType = t.split(":")
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val fieldName: String = currentType.head
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var fieldType: String = currentType.last
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val nullable: Boolean = fieldType.endsWith("?")
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if (nullable)
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fieldType = fieldType.replace("?", "")
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schema = schema.add(StructField(fieldName, datatypedict(fieldType), nullable))
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d.foreach { case t =>
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val currentType = t.split(":")
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val fieldName: String = currentType.head
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var fieldType: String = currentType.last
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val nullable: Boolean = fieldType.endsWith("?")
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if (nullable)
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fieldType = fieldType.replace("?", "")
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schema = schema.add(StructField(fieldName, datatypedict(fieldType), nullable))
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}
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schema
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}
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@ -338,22 +380,10 @@ object MagUtility extends Serializable {
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def createResultFromType(magType: Option[String], source: Option[String]): Result = {
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var result: Result = null
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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(
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OafMapperUtils.qualifier(
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ModelConstants.SYSIMPORT_ACTIONSET,
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ModelConstants.SYSIMPORT_ACTIONSET,
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ModelConstants.DNET_PROVENANCE_ACTIONS,
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ModelConstants.DNET_PROVENANCE_ACTIONS
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)
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)
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if (magType == null || magType.orNull ==null) {
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if (magType == null || magType.orNull == null) {
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result = new Publication
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result.setDataInfo(di)
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result.setDataInfo(MAGDataInfo)
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val i = new Instance
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i.setInstancetype(
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qualifier(
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@ -386,7 +416,7 @@ object MagUtility extends Serializable {
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result = new Publication
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qualifier("0043", "Journal", ModelConstants.DNET_PUBLICATION_RESOURCE, ModelConstants.DNET_PUBLICATION_RESOURCE)
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case "patent" =>
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if (source!= null && source.orNull != null) {
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if (source != null && source.orNull != null) {
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val s = source.get.toLowerCase
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if (s.contains("patent") || s.contains("brevet")) {
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result = new Publication
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@ -404,9 +434,11 @@ object MagUtility extends Serializable {
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ModelConstants.DNET_PUBLICATION_RESOURCE,
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ModelConstants.DNET_PUBLICATION_RESOURCE
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)
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} else if (s.contains("proceedings") || s.contains("conference") || s.contains("workshop") || s.contains(
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"symposium"
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)) {
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} else if (
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s.contains("proceedings") || s.contains("conference") || s.contains("workshop") || s.contains(
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"symposium"
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)
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) {
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result = new Publication
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qualifier(
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"0001",
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@ -419,7 +451,7 @@ object MagUtility extends Serializable {
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case "repository" =>
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result = new Publication()
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di.setInvisible(true)
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result.setDataInfo(MAGDataInfoInvisible)
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qualifier(
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"0038",
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"Other literature type",
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@ -454,7 +486,8 @@ object MagUtility extends Serializable {
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}
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if (result != null) {
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result.setDataInfo(di)
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if (result.getDataInfo == null)
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result.setDataInfo(MAGDataInfo)
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val i = new Instance
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i.setInstancetype(tp)
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result.setInstance(List(i).asJava)
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@ -466,14 +499,13 @@ object MagUtility extends Serializable {
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def convertMAGtoOAF(paper: MAGPaper): String = {
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// FILTER all the MAG paper with no URL
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if (paper.urls.orNull == null )
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if (paper.urls.orNull == null)
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return null
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val result = createResultFromType(paper.docType, paper.originalVenue)
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if (result == null)
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return null
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result.setCollectedfrom(List(MAGCollectedFrom).asJava)
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val pidList = List(
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structuredProperty(
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@ -582,30 +614,32 @@ object MagUtility extends Serializable {
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val instance = result.getInstance().get(0)
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instance.setPid(pidList.asJava)
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if(paper.doi.orNull != null)
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instance.setAlternateIdentifier(
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List(
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structuredProperty(
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paper.doi.get,
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qualifier(
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PidType.doi.toString,
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PidType.doi.toString,
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ModelConstants.DNET_PID_TYPES,
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ModelConstants.DNET_PID_TYPES
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),
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null
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)
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).asJava
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)
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if (paper.doi.orNull != null)
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instance.setAlternateIdentifier(
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List(
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structuredProperty(
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paper.doi.get,
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qualifier(
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PidType.doi.toString,
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PidType.doi.toString,
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ModelConstants.DNET_PID_TYPES,
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ModelConstants.DNET_PID_TYPES
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),
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null
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)
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).asJava
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)
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instance.setUrl(paper.urls.get.asJava)
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instance.setHostedby(ModelConstants.UNKNOWN_REPOSITORY)
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instance.setCollectedfrom(MAGCollectedFrom)
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instance.setAccessright(accessRight(
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ModelConstants.UNKNOWN,
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ModelConstants.NOT_AVAILABLE,
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ModelConstants.DNET_ACCESS_MODES,
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ModelConstants.DNET_ACCESS_MODES
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))
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instance.setAccessright(
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accessRight(
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ModelConstants.UNKNOWN,
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ModelConstants.NOT_AVAILABLE,
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ModelConstants.DNET_ACCESS_MODES,
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ModelConstants.DNET_ACCESS_MODES
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)
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)
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if (paper.authors.orNull != null && paper.authors.get.nonEmpty)
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result.setAuthor(
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@ -646,6 +680,31 @@ object MagUtility extends Serializable {
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.asJava
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)
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mapper.writeValueAsString(result)
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}
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def generateAffiliationRelations(paperAffiliation: Row): List[Relation] = {
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val affId = s"20|mag_________::${DHPUtils.md5(paperAffiliation.getAs[Long]("AffiliationId").toString)}"
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val oafId = s"50|mag_________::${DHPUtils.md5(paperAffiliation.getAs[Long]("PaperId").toString)}"
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val r: Relation = new Relation
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r.setSource(oafId)
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r.setTarget(affId)
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r.setRelType(ModelConstants.RESULT_ORGANIZATION)
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r.setRelClass(ModelConstants.HAS_AUTHOR_INSTITUTION)
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r.setSubRelType(ModelConstants.AFFILIATION)
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r.setDataInfo(MAGDataInfo)
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r.setCollectedfrom(List(MAGCollectedFrom).asJava)
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val r1: Relation = new Relation
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r1.setTarget(oafId)
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r1.setSource(affId)
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r1.setRelType(ModelConstants.RESULT_ORGANIZATION)
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r1.setRelClass(ModelConstants.IS_AUTHOR_INSTITUTION_OF)
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r1.setSubRelType(ModelConstants.AFFILIATION)
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r1.setDataInfo(MAGDataInfo)
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r1.setCollectedfrom(List(MAGCollectedFrom).asJava)
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List(r, r1)
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}
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def convertInvertedIndexString(json_input: String): String = {
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@ -15,15 +15,12 @@ class SparkCreateMagDenormalizedTable(propertyPath: String, args: Array[String],
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override def run(): Unit = {
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val magBasePath: String = parser.get("magBasePath")
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log.info("found parameters magBasePath: {}", magBasePath)
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val workingPath: String = parser.get("workingPath")
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log.info("found parameters workingPath: {}", workingPath)
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generatedDenormalizedMAGTable(spark, magBasePath, workingPath)
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generatedDenormalizedMAGTable(spark, magBasePath)
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}
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private def generatedDenormalizedMAGTable(
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spark: SparkSession,
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magBasePath: String,
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workingPath: String
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magBasePath: String
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): Unit = {
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import spark.implicits._
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@ -114,27 +111,6 @@ class SparkCreateMagDenormalizedTable(propertyPath: String, args: Array[String],
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step2.count()
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step1.unpersist()
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// val fos = MagUtility
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// .loadMagEntity(spark, "FieldsOfStudy", magBasePath)
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// .select($"FieldOfStudyId".alias("fos"), $"DisplayName", $"MainType")
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//
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// val paperFieldsOfStudy = MagUtility
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// .loadMagEntity(spark, "PaperFieldsOfStudy", magBasePath)
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// .select($"FieldOfStudyId", $"Score", $"PaperId")
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//
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// val paperFoS = paperFieldsOfStudy
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// .join(broadcast(fos), fos("fos") === paperFieldsOfStudy("FieldOfStudyId"))
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// .groupBy("PaperId")
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// .agg(collect_set(struct("FieldOfStudyId", "DisplayName", "MainType", "Score")).as("FoS"))
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//
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// val step3 = step2
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// .join(paperFoS, step2("PaperId") === paperFoS("PaperId"), "left")
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// .select(step2("*"), paperFoS("FoS"))
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// .cache()
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// step3.count()
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//
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// step2.unpersist()
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val journals = MagUtility
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.loadMagEntity(spark, "Journals", magBasePath)
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.select(
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|
@ -204,7 +180,7 @@ class SparkCreateMagDenormalizedTable(propertyPath: String, args: Array[String],
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)
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.write
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.mode("OverWrite")
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.save(s"$workingPath/mag")
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.save(s"$magBasePath/mag_denormalized")
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step3.unpersist()
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}
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}
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|
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@ -1,7 +1,9 @@
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package eu.dnetlib.dhp.collection.mag
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import eu.dnetlib.dhp.application.AbstractScalaApplication
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import eu.dnetlib.dhp.schema.oaf.{Publication, Result}
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import eu.dnetlib.dhp.schema.oaf.{Publication, Relation, Result}
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import org.apache.spark.sql.functions.col
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import org.apache.spark.sql.types.{ArrayType, StringType, StructField, StructType}
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import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
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import org.slf4j.{Logger, LoggerFactory}
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|
@ -14,26 +16,49 @@ class SparkMAGtoOAF(propertyPath: String, args: Array[String], log: Logger)
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override def run(): Unit = {
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val mdstorePath: String = parser.get("mdstorePath")
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log.info("found parameters mdstorePath: {}", mdstorePath)
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val workingPath: String = parser.get("workingPath")
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log.info("found parameters workingPath: {}", workingPath)
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convertMAG(spark, workingPath, mdstorePath)
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val magBasePath: String = parser.get("magBasePath")
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log.info("found parameters magBasePath: {}", magBasePath)
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convertMAG(spark, magBasePath, mdstorePath)
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generateAffiliations(spark, magBasePath, mdstorePath)
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}
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def convertMAG(spark: SparkSession, workingPath: String, mdStorePath: String): Unit = {
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def convertMAG(spark: SparkSession, magBasePath: String, mdStorePath: String): Unit = {
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import spark.implicits._
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spark.read
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.load(s"$workingPath/mag")
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.load(s"$magBasePath/mag_denormalized")
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.as[MAGPaper]
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.map(s => MagUtility.convertMAGtoOAF(s))
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.filter(s => s != null)
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.write
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.option("compression", "gzip")
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.mode(SaveMode.Overwrite)
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.text(mdStorePath)
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}
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def generateAffiliations(spark: SparkSession, magBasePath: String, mdStorePath: String): Unit = {
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implicit val relEncoder: Encoder[Relation] = Encoders.bean(classOf[Relation])
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val schema = new StructType()
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.add(StructField("id", StringType))
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.add(StructField("originalId", ArrayType(StringType)))
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val generatedMag =
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spark.read.schema(schema).json(mdStorePath).selectExpr("explode(originalId) as PaperId").distinct()
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val paperAuthorAffiliations = MagUtility
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.loadMagEntity(spark, "PaperAuthorAffiliations", magBasePath)
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.where(col("AffiliationId").isNotNull)
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.select("PaperId", "AffiliationId")
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.distinct
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paperAuthorAffiliations
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.join(generatedMag, paperAuthorAffiliations("PaperId") === generatedMag("PaperId"), "leftsemi")
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.flatMap(r => MagUtility.generateAffiliationRelations(r))
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.write
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.option("compression", "gzip")
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.mode(SaveMode.Append)
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.json(mdStorePath)
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}
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}
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object SparkMAGtoOAF {
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|
|
|
@ -7,7 +7,6 @@ import org.junit.jupiter.api.extension.ExtendWith
|
|||
import org.mockito.junit.jupiter.MockitoExtension
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
|
||||
@ExtendWith(Array(classOf[MockitoExtension]))
|
||||
class CrossrefMappingTest extends AbstractVocabularyTest {
|
||||
|
||||
|
@ -19,6 +18,4 @@ class CrossrefMappingTest extends AbstractVocabularyTest {
|
|||
super.setUpVocabulary()
|
||||
}
|
||||
|
||||
|
||||
|
||||
}
|
||||
|
|
|
@ -3,62 +3,80 @@ package eu.dnetlib.dhp.collection.mag
|
|||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.schema.oaf.{Dataset, Publication, Result}
|
||||
import org.apache.spark.sql.SparkSession
|
||||
import org.junit.jupiter.api.Test
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
|
||||
|
||||
import org.junit.jupiter.api.Test
|
||||
|
||||
class MAGMappingTest {
|
||||
|
||||
val mapper = new ObjectMapper()
|
||||
|
||||
def mappingTest(): Unit = {
|
||||
|
||||
// @Test
|
||||
// def mappingTest(): Unit = {
|
||||
//
|
||||
// val spark = SparkSession
|
||||
// .builder()
|
||||
// .appName("Test")
|
||||
// .master("local[*]")
|
||||
// .getOrCreate()
|
||||
//
|
||||
// new SparkMAGtoOAF(null,null,null).convertMAG(spark,"/home/sandro/Downloads", "/home/sandro/Downloads/mag_oaf")
|
||||
//
|
||||
// }
|
||||
val spark = SparkSession
|
||||
.builder()
|
||||
.appName("Test")
|
||||
.master("local[*]")
|
||||
.getOrCreate()
|
||||
|
||||
val s = new SparkMAGtoOAF(null, null, null)
|
||||
|
||||
s.convertMAG(spark, "/home/sandro/Downloads/mag_test", "/home/sandro/Downloads/mag_oaf")
|
||||
s.generateAffiliations(spark, "/home/sandro/Downloads/mag_test", "/home/sandro/Downloads/mag_oaf")
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
def mappingMagType(): Unit = {
|
||||
|
||||
|
||||
checkResult[Publication](MagUtility.createResultFromType(null, null), invisible = false,"Other literature type")
|
||||
checkResult[Publication](MagUtility.createResultFromType(Some("BookChapter"), null), invisible = false,"Part of book or chapter of book")
|
||||
checkResult[Publication](MagUtility.createResultFromType(Some("Book"), null), invisible = false,"Book")
|
||||
checkResult[Publication](MagUtility.createResultFromType(Some("Repository"), null), invisible = true,"Other literature type")
|
||||
checkResult[Publication](MagUtility.createResultFromType(Some("Thesis"), null), invisible = false,"Thesis")
|
||||
checkResult[Publication](MagUtility.createResultFromType(Some("Conference"), null), invisible = false,"Article")
|
||||
checkResult[Publication](MagUtility.createResultFromType(Some("Journal"), null), invisible = false,"Journal")
|
||||
checkResult[Dataset](MagUtility.createResultFromType(Some("Dataset"), null), invisible = false,"Dataset")
|
||||
checkResult[Publication](MagUtility.createResultFromType(Some("Patent"), Some("Patent Department of the Navy")), invisible = false,"Patent")
|
||||
checkResult[Publication](MagUtility.createResultFromType(Some("Patent"), Some("Brevet Department of the Navy")), invisible = false,"Patent")
|
||||
checkResult[Publication](MagUtility.createResultFromType(Some("Patent"), Some("Journal of the Navy")), invisible = false,"Journal")
|
||||
checkResult[Publication](MagUtility.createResultFromType(Some("Patent"), Some("Proceedings of the Navy")), invisible = false,"Article")
|
||||
checkResult[Dataset](MagUtility.createResultFromType(Some("Dataset"), null), invisible = false,"Dataset")
|
||||
checkResult[Publication](MagUtility.createResultFromType(null, null), invisible = false, "Other literature type")
|
||||
checkResult[Publication](
|
||||
MagUtility.createResultFromType(Some("BookChapter"), null),
|
||||
invisible = false,
|
||||
"Part of book or chapter of book"
|
||||
)
|
||||
checkResult[Publication](MagUtility.createResultFromType(Some("Book"), null), invisible = false, "Book")
|
||||
checkResult[Publication](
|
||||
MagUtility.createResultFromType(Some("Repository"), null),
|
||||
invisible = true,
|
||||
"Other literature type"
|
||||
)
|
||||
checkResult[Publication](MagUtility.createResultFromType(Some("Thesis"), null), invisible = false, "Thesis")
|
||||
checkResult[Publication](MagUtility.createResultFromType(Some("Conference"), null), invisible = false, "Article")
|
||||
checkResult[Publication](MagUtility.createResultFromType(Some("Journal"), null), invisible = false, "Journal")
|
||||
checkResult[Dataset](MagUtility.createResultFromType(Some("Dataset"), null), invisible = false, "Dataset")
|
||||
checkResult[Publication](
|
||||
MagUtility.createResultFromType(Some("Patent"), Some("Patent Department of the Navy")),
|
||||
invisible = false,
|
||||
"Patent"
|
||||
)
|
||||
checkResult[Publication](
|
||||
MagUtility.createResultFromType(Some("Patent"), Some("Brevet Department of the Navy")),
|
||||
invisible = false,
|
||||
"Patent"
|
||||
)
|
||||
checkResult[Publication](
|
||||
MagUtility.createResultFromType(Some("Patent"), Some("Journal of the Navy")),
|
||||
invisible = false,
|
||||
"Journal"
|
||||
)
|
||||
checkResult[Publication](
|
||||
MagUtility.createResultFromType(Some("Patent"), Some("Proceedings of the Navy")),
|
||||
invisible = false,
|
||||
"Article"
|
||||
)
|
||||
checkResult[Dataset](MagUtility.createResultFromType(Some("Dataset"), null), invisible = false, "Dataset")
|
||||
assertNull(MagUtility.createResultFromType(Some("Patent"), null))
|
||||
assertNull(MagUtility.createResultFromType(Some("Patent"), Some("Some name ")))
|
||||
}
|
||||
|
||||
|
||||
def checkResult[T](r:Result, invisible:Boolean, typeName:String): Unit = {
|
||||
|
||||
def checkResult[T](r: Result, invisible: Boolean, typeName: String): Unit = {
|
||||
|
||||
assertNotNull(r)
|
||||
assertTrue(r.isInstanceOf[T])
|
||||
assertNotNull(r.getDataInfo)
|
||||
assertEquals( invisible ,r.getDataInfo.getInvisible)
|
||||
assertEquals(invisible, r.getDataInfo.getInvisible)
|
||||
assertNotNull(r.getInstance())
|
||||
assertTrue(r.getInstance().size()>0)
|
||||
assertTrue(r.getInstance().size() > 0)
|
||||
assertNotNull(r.getInstance().get(0).getInstancetype)
|
||||
assertEquals(typeName, r.getInstance().get(0).getInstancetype.getClassname)
|
||||
|
||||
|
|
Loading…
Reference in New Issue