forked from D-Net/dnet-hadoop
fixed wrong doi in pubmed
This commit is contained in:
parent
00a28c0080
commit
45898c71ac
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@ -80,7 +80,7 @@ object SparkResolveRelation {
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}
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private def extractPidsFromRecord(input:String):(String,List[(String,String)]) = {
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def extractPidsFromRecord(input:String):(String,List[(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(input)
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val id:String = (json \ "id").extract[String]
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@ -90,7 +90,15 @@ object SparkResolveRelation {
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JField("qualifier", JObject(qualifier)) <- pids
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JField("classname", JString(pidType)) <- qualifier
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} yield (pidValue, pidType)
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(id,result)
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val alternateIds: List[(String,String)] = for {
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JObject(pids) <- json \\ "alternateIdentifier"
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JField("value", JString(pidValue)) <- pids
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JField("qualifier", JObject(qualifier)) <- pids
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JField("classname", JString(pidType)) <- qualifier
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} yield (pidValue, pidType)
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(id,result:::alternateIds)
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}
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private def extractPidResolvedTableFromJsonRDD(spark: SparkSession, entityPath: String, workingPath: String) = {
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@ -1,8 +1,8 @@
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package eu.dnetlib.dhp.sx.graph.bio.pubmed
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import java.util.regex.Pattern
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import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
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import eu.dnetlib.dhp.schema.common.ModelConstants
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import eu.dnetlib.dhp.schema.oaf.utils.{GraphCleaningFunctions, IdentifierFactory, OafMapperUtils, PidType}
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import eu.dnetlib.dhp.schema.oaf.utils.{CleaningFunctions, GraphCleaningFunctions, IdentifierFactory, OafMapperUtils, PidType}
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import eu.dnetlib.dhp.schema.oaf._
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import scala.collection.JavaConverters._
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@ -15,6 +15,20 @@ object PubMedToOaf {
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"doi" -> "https://dx.doi.org/"
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)
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def cleanDoi(doi:String):String = {
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val regex = "10.\\d{4,9}\\/[-._;()\\/:A-Z0-9]+$"
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val pattern = Pattern.compile(regex, Pattern.CASE_INSENSITIVE)
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val matcher = pattern.matcher(doi)
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if (matcher.find) {
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return matcher.group(0)
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}
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null
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}
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def createResult(cobjQualifier: Qualifier, vocabularies: VocabularyGroup): Result = {
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val result_typologies = getVocabularyTerm(ModelConstants.DNET_RESULT_TYPOLOGIES, vocabularies, cobjQualifier.getClassid)
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result_typologies.getClassid match {
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@ -60,8 +74,12 @@ object PubMedToOaf {
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var pidList: List[StructuredProperty] = List(OafMapperUtils.structuredProperty(article.getPmid, PidType.pmid.toString, PidType.pmid.toString, ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES, dataInfo))
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if (pidList == null)
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return null
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var alternateIdentifier :StructuredProperty = null
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if (article.getDoi != null) {
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pidList = pidList ::: List(OafMapperUtils.structuredProperty(article.getDoi, PidType.doi.toString, PidType.doi.toString, ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES, dataInfo))
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val normalizedPid = cleanDoi(article.getDoi)
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if (normalizedPid!= null)
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alternateIdentifier = OafMapperUtils.structuredProperty(normalizedPid, PidType.doi.toString, PidType.doi.toString, ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES, dataInfo)
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}
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// If the article contains the typology Journal Article then we apply this type
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@ -84,9 +102,9 @@ object PubMedToOaf {
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return result
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result.setDataInfo(dataInfo)
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i.setPid(pidList.asJava)
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if (alternateIdentifier!= null)
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i.setAlternateIdentifier(List(alternateIdentifier).asJava)
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result.setInstance(List(i).asJava)
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i.getPid.asScala.filter(p => "pmid".equalsIgnoreCase(p.getQualifier.getClassid)).map(p => p.getValue)(collection breakOut)
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val urlLists: List[String] = pidList
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.map(s => (urlMap.getOrElse(s.getQualifier.getClassid, ""), s.getValue))
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@ -1,9 +1,12 @@
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package eu.dnetlib.dhp.sx.graph.bio.pubmed
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import com.fasterxml.jackson.databind.{DeserializationFeature, ObjectMapper, SerializationFeature}
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import eu.dnetlib.dhp.schema.common.ModelConstants
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import eu.dnetlib.dhp.schema.oaf.utils.{CleaningFunctions, OafMapperUtils, PidType}
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import eu.dnetlib.dhp.schema.oaf.{Oaf, Relation, Result}
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import eu.dnetlib.dhp.sx.graph.bio.BioDBToOAF.ScholixResolved
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import eu.dnetlib.dhp.sx.graph.bio.BioDBToOAF
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import eu.dnetlib.dhp.sx.graph.bio.pubmed.PubMedToOaf.dataInfo
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import org.json4s.DefaultFormats
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import org.json4s.JsonAST.{JField, JObject, JString}
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import org.json4s.jackson.JsonMethods.parse
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@ -64,6 +67,9 @@ class BioScholixTest extends AbstractVocabularyTest{
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assertEquals(10, r.size)
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assertTrue(r.map(p => p.asInstanceOf[Result]).flatMap(p => p.getInstance().asScala.map(i => i.getInstancetype.getClassid)).exists(p => "0037".equalsIgnoreCase(p)))
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println(mapper.writeValueAsString(r.head))
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}
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@ -179,13 +185,6 @@ class BioScholixTest extends AbstractVocabularyTest{
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val result:List[Oaf] = l.map(s => BioDBToOAF.scholixResolvedToOAF(s))
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assertTrue(result.nonEmpty)
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}
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}
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@ -4,6 +4,7 @@ import com.fasterxml.jackson.databind.{DeserializationFeature, ObjectMapper, Ser
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import eu.dnetlib.dhp.schema.oaf.{Relation, Result}
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import eu.dnetlib.dhp.schema.sx.scholix.Scholix
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import eu.dnetlib.dhp.schema.sx.summary.ScholixSummary
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import eu.dnetlib.dhp.sx.graph.SparkResolveRelation
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import eu.dnetlib.dhp.sx.graph.bio.pubmed.AbstractVocabularyTest
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import org.json4s
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import org.json4s.DefaultFormats
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@ -30,6 +31,16 @@ class ScholixGraphTest extends AbstractVocabularyTest{
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}
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@Test
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def testExtractPids():Unit = {
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val input = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/scholix/result.json")).mkString
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val res =SparkResolveRelation.extractPidsFromRecord(input)
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assertNotNull(res)
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assertTrue(res._2.size == 2)
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}
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@Test
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def testOAFToSummary():Unit= {
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val inputRelations = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/oaf_to_summary")).mkString
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@ -0,0 +1,508 @@
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{
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"collectedfrom": [
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{
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"key": "10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c",
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"value": "Europe PubMed Central",
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"dataInfo": null
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}
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],
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"dataInfo": {
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"invisible": false,
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"inferred": false,
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"deletedbyinference": false,
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"trust": "0.9",
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"inferenceprovenance": null,
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"provenanceaction": {
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"classid": "sysimport:actionset",
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"classname": "sysimport:actionset",
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"schemeid": "dnet:provenanceActions",
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"schemename": "dnet:provenanceActions"
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}
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},
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"lastupdatetimestamp": null,
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"id": "50|pmid________::cd23b96c02d937c971c1b56d6aa0bf4f",
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"originalId": [
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"10025635"
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],
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"pid": [
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{
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"value": "10025635",
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"qualifier": {
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"classid": "pmid",
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"classname": "pmid",
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"schemeid": "dnet:pid_types",
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"schemename": "dnet:pid_types"
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},
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"dataInfo": {
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"invisible": false,
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"inferred": false,
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"deletedbyinference": false,
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"trust": "0.9",
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"inferenceprovenance": null,
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"provenanceaction": {
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"classid": "sysimport:actionset",
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"classname": "sysimport:actionset",
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"schemeid": "dnet:provenanceActions",
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"schemename": "dnet:provenanceActions"
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}
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}
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}
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],
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"dateofcollection": null,
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"dateoftransformation": null,
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"extraInfo": null,
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"oaiprovenance": null,
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"measures": null,
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"author": [
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{
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"fullname": "D J, Marcellin-Little",
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"name": "D J",
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"surname": "Marcellin-Little",
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"rank": 1,
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"pid": null,
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"affiliation": null
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},
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{
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"fullname": "B A, DeYoung",
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"name": "B A",
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"surname": "DeYoung",
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"rank": 2,
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"pid": null,
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"affiliation": null
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},
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{
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"fullname": "D H, Doyens",
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"name": "D H",
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"surname": "Doyens",
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"rank": 3,
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"pid": null,
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"affiliation": null
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},
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{
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"fullname": "D J, DeYoung",
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"name": "D J",
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"surname": "DeYoung",
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"rank": 4,
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"pid": null,
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"affiliation": null
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}
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],
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"resulttype": {
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"classid": "dataset",
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"classname": "dataset",
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"schemeid": "dnet:result_typologies",
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"schemename": "dnet:result_typologies"
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},
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"language": null,
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"country": null,
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"subject": [
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{
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"value": "Animals",
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"qualifier": {
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"classid": "keywords",
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"classname": "keywords",
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"schemeid": "dnet:subject_classification_typologies",
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"schemename": "dnet:subject_classification_typologies"
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},
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"dataInfo": {
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"invisible": false,
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"inferred": false,
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"deletedbyinference": false,
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"trust": "0.9",
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"inferenceprovenance": null,
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"provenanceaction": {
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"classid": "sysimport:actionset",
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"classname": "sysimport:actionset",
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"schemeid": "dnet:provenanceActions",
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"schemename": "dnet:provenanceActions"
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}
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}
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},
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{
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"value": "Arthroplasty, Replacement, Hip",
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"qualifier": {
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"classid": "keywords",
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"classname": "keywords",
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"schemeid": "dnet:subject_classification_typologies",
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"schemename": "dnet:subject_classification_typologies"
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},
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"dataInfo": {
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"invisible": false,
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"inferred": false,
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"deletedbyinference": false,
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"trust": "0.9",
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"inferenceprovenance": null,
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"provenanceaction": {
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"classid": "sysimport:actionset",
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"classname": "sysimport:actionset",
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"schemeid": "dnet:provenanceActions",
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"schemename": "dnet:provenanceActions"
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}
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}
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},
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{
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"value": "Dogs",
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"qualifier": {
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"classid": "keywords",
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"classname": "keywords",
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"schemeid": "dnet:subject_classification_typologies",
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"schemename": "dnet:subject_classification_typologies"
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},
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"dataInfo": {
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"invisible": false,
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"inferred": false,
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"deletedbyinference": false,
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"trust": "0.9",
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"inferenceprovenance": null,
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"provenanceaction": {
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"classid": "sysimport:actionset",
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"classname": "sysimport:actionset",
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"schemeid": "dnet:provenanceActions",
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"schemename": "dnet:provenanceActions"
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}
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}
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},
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{
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"value": "Follow-Up Studies",
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"qualifier": {
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"classid": "keywords",
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"classname": "keywords",
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"schemeid": "dnet:subject_classification_typologies",
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"schemename": "dnet:subject_classification_typologies"
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},
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"dataInfo": {
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"invisible": false,
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"inferred": false,
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"deletedbyinference": false,
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"trust": "0.9",
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"inferenceprovenance": null,
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"provenanceaction": {
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"classid": "sysimport:actionset",
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"classname": "sysimport:actionset",
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"schemeid": "dnet:provenanceActions",
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"schemename": "dnet:provenanceActions"
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}
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}
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},
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{
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"value": "Hip Joint",
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"qualifier": {
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"classid": "keywords",
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"classname": "keywords",
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"schemeid": "dnet:subject_classification_typologies",
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"schemename": "dnet:subject_classification_typologies"
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},
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"dataInfo": {
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"invisible": false,
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"inferred": false,
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"deletedbyinference": false,
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"trust": "0.9",
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"inferenceprovenance": null,
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"provenanceaction": {
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"classid": "sysimport:actionset",
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"classname": "sysimport:actionset",
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"schemeid": "dnet:provenanceActions",
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"schemename": "dnet:provenanceActions"
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}
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}
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},
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{
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"value": "Hip Prosthesis",
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"qualifier": {
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"classid": "keywords",
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"classname": "keywords",
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"schemeid": "dnet:subject_classification_typologies",
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"schemename": "dnet:subject_classification_typologies"
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},
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"dataInfo": {
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"invisible": false,
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"inferred": false,
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"deletedbyinference": false,
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"trust": "0.9",
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"inferenceprovenance": null,
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"provenanceaction": {
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"classid": "sysimport:actionset",
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"classname": "sysimport:actionset",
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"schemeid": "dnet:provenanceActions",
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"schemename": "dnet:provenanceActions"
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}
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}
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},
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{
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"value": "Osseointegration",
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"qualifier": {
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"classid": "keywords",
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"classname": "keywords",
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"schemeid": "dnet:subject_classification_typologies",
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"schemename": "dnet:subject_classification_typologies"
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},
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"dataInfo": {
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"invisible": false,
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"inferred": false,
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"deletedbyinference": false,
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"trust": "0.9",
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"inferenceprovenance": null,
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"provenanceaction": {
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"classid": "sysimport:actionset",
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"classname": "sysimport:actionset",
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"schemeid": "dnet:provenanceActions",
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"schemename": "dnet:provenanceActions"
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}
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}
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},
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{
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"value": "Prospective Studies",
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"qualifier": {
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"classid": "keywords",
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"classname": "keywords",
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"schemeid": "dnet:subject_classification_typologies",
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"schemename": "dnet:subject_classification_typologies"
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},
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"dataInfo": {
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"invisible": false,
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"inferred": false,
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"deletedbyinference": false,
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"trust": "0.9",
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"inferenceprovenance": null,
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"provenanceaction": {
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"classid": "sysimport:actionset",
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"classname": "sysimport:actionset",
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"schemeid": "dnet:provenanceActions",
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"schemename": "dnet:provenanceActions"
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}
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}
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},
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{
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"value": "Radiography",
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"qualifier": {
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"classid": "keywords",
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"classname": "keywords",
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"schemeid": "dnet:subject_classification_typologies",
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"schemename": "dnet:subject_classification_typologies"
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},
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"dataInfo": {
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"invisible": false,
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"inferred": false,
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"deletedbyinference": false,
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"trust": "0.9",
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"inferenceprovenance": null,
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"provenanceaction": {
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"classid": "sysimport:actionset",
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"classname": "sysimport:actionset",
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"schemeid": "dnet:provenanceActions",
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"schemename": "dnet:provenanceActions"
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}
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}
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},
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{
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"value": "Survival Analysis",
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"qualifier": {
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"classid": "keywords",
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"classname": "keywords",
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"schemeid": "dnet:subject_classification_typologies",
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"schemename": "dnet:subject_classification_typologies"
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},
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"dataInfo": {
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"invisible": false,
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"inferred": false,
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"deletedbyinference": false,
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"trust": "0.9",
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"inferenceprovenance": null,
|
||||
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Loading…
Reference in New Issue