master #59

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claudio.atzori wants to merge 3221 commits from master into stable_ids
32 changed files with 155 additions and 160 deletions
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@ -1,14 +1,12 @@
package eu.dnetlib.dhp.sx.graph.bio package eu.dnetllib.dhp.sx.bio
import eu.dnetlib.dhp.schema.common.ModelConstants import eu.dnetlib.dhp.schema.common.ModelConstants
import eu.dnetlib.dhp.schema.oaf.utils.{GraphCleaningFunctions, OafMapperUtils} import eu.dnetlib.dhp.schema.oaf.utils.{GraphCleaningFunctions, OafMapperUtils}
import eu.dnetlib.dhp.schema.oaf.{Author, DataInfo, Dataset, Instance, KeyValue, Oaf, Relation, StructuredProperty} import eu.dnetlib.dhp.schema.oaf._
import org.json4s.DefaultFormats import org.json4s.DefaultFormats
import org.json4s.JsonAST.{JField, JObject, JString} import org.json4s.JsonAST.{JField, JObject, JString}
import org.json4s.jackson.JsonMethods.{compact, parse, render} import org.json4s.jackson.JsonMethods.{compact, parse, render}
import collection.JavaConverters._
import scala.collection.JavaConverters._
object BioDBToOAF { object BioDBToOAF {
case class EBILinkItem(id: Long, links: String) {} case class EBILinkItem(id: Long, links: String) {}
@ -17,23 +15,23 @@ object BioDBToOAF {
case class UniprotDate(date: String, date_info: String) {} case class UniprotDate(date: String, date_info: String) {}
case class ScholixResolved(pid:String, pidType:String, typology:String, tilte:List[String], datasource:List[String], date:List[String], authors:List[String]){} case class ScholixResolved(pid: String, pidType: String, typology: String, tilte: List[String], datasource: List[String], date: List[String], authors: List[String]) {}
val DATA_INFO: DataInfo = OafMapperUtils.dataInfo(false, null, false, false, ModelConstants.PROVENANCE_ACTION_SET_QUALIFIER, "0.9") val DATA_INFO: DataInfo = OafMapperUtils.dataInfo(false, null, false, false, ModelConstants.PROVENANCE_ACTION_SET_QUALIFIER, "0.9")
val SUBJ_CLASS = "Keywords" val SUBJ_CLASS = "Keywords"
val DATE_RELATION_KEY = "RelationDate" val DATE_RELATION_KEY = "RelationDate"
val resolvedURL:Map[String,String] = Map( val resolvedURL: Map[String, String] = Map(
"genbank"-> "https://www.ncbi.nlm.nih.gov/nuccore/", "genbank" -> "https://www.ncbi.nlm.nih.gov/nuccore/",
"ncbi-n" -> "https://www.ncbi.nlm.nih.gov/nuccore/", "ncbi-n" -> "https://www.ncbi.nlm.nih.gov/nuccore/",
"ncbi-wgs" -> "https://www.ncbi.nlm.nih.gov/nuccore/", "ncbi-wgs" -> "https://www.ncbi.nlm.nih.gov/nuccore/",
"ncbi-p" -> "https://www.ncbi.nlm.nih.gov/protein/", "ncbi-p" -> "https://www.ncbi.nlm.nih.gov/protein/",
"ena" -> "https://www.ebi.ac.uk/ena/browser/view/", "ena" -> "https://www.ebi.ac.uk/ena/browser/view/",
"clinicaltrials.gov"-> "https://clinicaltrials.gov/ct2/show/", "clinicaltrials.gov" -> "https://clinicaltrials.gov/ct2/show/",
"onim"-> "https://omim.org/entry/", "onim" -> "https://omim.org/entry/",
"refseq"-> "https://www.ncbi.nlm.nih.gov/nuccore/", "refseq" -> "https://www.ncbi.nlm.nih.gov/nuccore/",
"geo"-> "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=" "geo" -> "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc="
) )
@ -45,7 +43,7 @@ object BioDBToOAF {
val ElsevierCollectedFrom: KeyValue = OafMapperUtils.keyValue("10|openaire____::8f87e10869299a5fe80b315695296b88", "Elsevier") val ElsevierCollectedFrom: KeyValue = OafMapperUtils.keyValue("10|openaire____::8f87e10869299a5fe80b315695296b88", "Elsevier")
val springerNatureCollectedFrom: KeyValue = OafMapperUtils.keyValue("10|openaire____::6e380d9cf51138baec8480f5a0ce3a2e", "Springer Nature") val springerNatureCollectedFrom: KeyValue = OafMapperUtils.keyValue("10|openaire____::6e380d9cf51138baec8480f5a0ce3a2e", "Springer Nature")
val EBICollectedFrom: KeyValue = OafMapperUtils.keyValue("10|opendoar____::83e60e09c222f206c725385f53d7e567c", "EMBL-EBIs Protein Data Bank in Europe (PDBe)") val EBICollectedFrom: KeyValue = OafMapperUtils.keyValue("10|opendoar____::83e60e09c222f206c725385f53d7e567c", "EMBL-EBIs Protein Data Bank in Europe (PDBe)")
val pubmedCollectedFrom:KeyValue = OafMapperUtils.keyValue(ModelConstants.EUROPE_PUBMED_CENTRAL_ID, "Europe PubMed Central") val pubmedCollectedFrom: KeyValue = OafMapperUtils.keyValue(ModelConstants.EUROPE_PUBMED_CENTRAL_ID, "Europe PubMed Central")
UNIPROTCollectedFrom.setDataInfo(DATA_INFO) UNIPROTCollectedFrom.setDataInfo(DATA_INFO)
PDBCollectedFrom.setDataInfo(DATA_INFO) PDBCollectedFrom.setDataInfo(DATA_INFO)
@ -58,9 +56,9 @@ object BioDBToOAF {
Map( Map(
"uniprot" -> UNIPROTCollectedFrom, "uniprot" -> UNIPROTCollectedFrom,
"pdb"-> PDBCollectedFrom, "pdb" -> PDBCollectedFrom,
"elsevier" ->ElsevierCollectedFrom, "elsevier" -> ElsevierCollectedFrom,
"ebi" ->EBICollectedFrom, "ebi" -> EBICollectedFrom,
"Springer Nature" -> springerNatureCollectedFrom, "Springer Nature" -> springerNatureCollectedFrom,
"NCBI Nucleotide" -> ncbiCollectedFrom, "NCBI Nucleotide" -> ncbiCollectedFrom,
"European Nucleotide Archive" -> enaCollectedFrom, "European Nucleotide Archive" -> enaCollectedFrom,
@ -68,7 +66,7 @@ object BioDBToOAF {
) )
} }
def crossrefLinksToOaf(input:String):Oaf = { def crossrefLinksToOaf(input: String): Oaf = {
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
lazy val json = parse(input) lazy val json = parse(input)
val source_pid = (json \ "Source" \ "Identifier" \ "ID").extract[String].toLowerCase val source_pid = (json \ "Source" \ "Identifier" \ "ID").extract[String].toLowerCase
@ -77,16 +75,16 @@ object BioDBToOAF {
val target_pid = (json \ "Target" \ "Identifier" \ "ID").extract[String].toLowerCase val target_pid = (json \ "Target" \ "Identifier" \ "ID").extract[String].toLowerCase
val target_pid_type = (json \ "Target" \ "Identifier" \ "IDScheme").extract[String].toLowerCase val target_pid_type = (json \ "Target" \ "Identifier" \ "IDScheme").extract[String].toLowerCase
val relation_semantic= (json \ "RelationshipType" \ "Name").extract[String] val relation_semantic = (json \ "RelationshipType" \ "Name").extract[String]
val date = GraphCleaningFunctions.cleanDate((json \ "LinkedPublicationDate").extract[String]) val date = GraphCleaningFunctions.cleanDate((json \ "LinkedPublicationDate").extract[String])
createRelation(target_pid, target_pid_type, generate_unresolved_id(source_pid, source_pid_type),collectedFromMap("elsevier"),"relationship", relation_semantic, date) createRelation(target_pid, target_pid_type, generate_unresolved_id(source_pid, source_pid_type), collectedFromMap("elsevier"), "relationship", relation_semantic, date)
} }
def scholixResolvedToOAF(input:ScholixResolved):Oaf = { def scholixResolvedToOAF(input: ScholixResolved): Oaf = {
val d = new Dataset val d = new Dataset
@ -127,18 +125,18 @@ object BioDBToOAF {
d.setInstance(List(i).asJava) d.setInstance(List(i).asJava)
if (input.authors != null && input.authors.nonEmpty) { if (input.authors != null && input.authors.nonEmpty) {
val authors = input.authors.map(a =>{ val authors = input.authors.map(a => {
val authorOAF = new Author val authorOAF = new Author
authorOAF.setFullname(a) authorOAF.setFullname(a)
authorOAF authorOAF
}) })
d.setAuthor(authors.asJava) d.setAuthor(authors.asJava)
} }
if (input.date!= null && input.date.nonEmpty) { if (input.date != null && input.date.nonEmpty) {
val dt = input.date.head val dt = input.date.head
i.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(dt), DATA_INFO)) i.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(dt), DATA_INFO))
d.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(dt), DATA_INFO)) d.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(dt), DATA_INFO))
} }
d d
} }
@ -190,7 +188,7 @@ object BioDBToOAF {
OafMapperUtils.structuredProperty(s, SUBJ_CLASS, SUBJ_CLASS, ModelConstants.DNET_SUBJECT_TYPOLOGIES, ModelConstants.DNET_SUBJECT_TYPOLOGIES, null) OafMapperUtils.structuredProperty(s, SUBJ_CLASS, SUBJ_CLASS, ModelConstants.DNET_SUBJECT_TYPOLOGIES, ModelConstants.DNET_SUBJECT_TYPOLOGIES, null)
).asJava) ).asJava)
} }
var i_date:Option[UniprotDate] = None var i_date: Option[UniprotDate] = None
if (dates.nonEmpty) { if (dates.nonEmpty) {
i_date = dates.find(d => d.date_info.contains("entry version")) i_date = dates.find(d => d.date_info.contains("entry version"))
@ -218,12 +216,12 @@ object BioDBToOAF {
if (references_pmid != null && references_pmid.nonEmpty) { if (references_pmid != null && references_pmid.nonEmpty) {
val rel = createRelation(references_pmid.head, "pmid", d.getId, collectedFromMap("uniprot"), ModelConstants.RELATIONSHIP, ModelConstants.IS_RELATED_TO, if (i_date.isDefined) i_date.get.date else null) val rel = createRelation(references_pmid.head, "pmid", d.getId, collectedFromMap("uniprot"), ModelConstants.RELATIONSHIP, ModelConstants.IS_RELATED_TO, if (i_date.isDefined) i_date.get.date else null)
rel.getCollectedfrom rel.getCollectedfrom
List(d, rel) List(d, rel)
} }
else if (references_doi != null && references_doi.nonEmpty) { else if (references_doi != null && references_doi.nonEmpty) {
val rel = createRelation(references_doi.head, "doi", d.getId, collectedFromMap("uniprot"), ModelConstants.RELATIONSHIP, ModelConstants.IS_RELATED_TO, if (i_date.isDefined) i_date.get.date else null) val rel = createRelation(references_doi.head, "doi", d.getId, collectedFromMap("uniprot"), ModelConstants.RELATIONSHIP, ModelConstants.IS_RELATED_TO, if (i_date.isDefined) i_date.get.date else null)
List(d, rel) List(d, rel)
} }
else else
@ -231,13 +229,12 @@ object BioDBToOAF {
} }
def generate_unresolved_id(pid: String, pidType: String): String = {
def generate_unresolved_id(pid:String, pidType:String) :String = {
s"unresolved::$pid::$pidType" s"unresolved::$pid::$pidType"
} }
def createRelation(pid: String, pidType: String, sourceId: String, collectedFrom: KeyValue, subRelType:String, relClass:String, date:String):Relation = { def createRelation(pid: String, pidType: String, sourceId: String, collectedFrom: KeyValue, subRelType: String, relClass: String, date: String): Relation = {
val rel = new Relation val rel = new Relation
rel.setCollectedfrom(List(collectedFromMap("pdb")).asJava) rel.setCollectedfrom(List(collectedFromMap("pdb")).asJava)
@ -251,7 +248,7 @@ object BioDBToOAF {
rel.setTarget(s"unresolved::$pid::$pidType") rel.setTarget(s"unresolved::$pid::$pidType")
val dateProps:KeyValue = OafMapperUtils.keyValue(DATE_RELATION_KEY, date) val dateProps: KeyValue = OafMapperUtils.keyValue(DATE_RELATION_KEY, date)
rel.setProperties(List(dateProps).asJava) rel.setProperties(List(dateProps).asJava)
@ -262,8 +259,8 @@ object BioDBToOAF {
} }
def createSupplementaryRelation(pid: String, pidType: String, sourceId: String, collectedFrom: KeyValue, date:String): Relation = { def createSupplementaryRelation(pid: String, pidType: String, sourceId: String, collectedFrom: KeyValue, date: String): Relation = {
createRelation(pid,pidType,sourceId,collectedFrom, ModelConstants.SUPPLEMENT, ModelConstants.IS_SUPPLEMENT_TO, date) createRelation(pid, pidType, sourceId, collectedFrom, ModelConstants.SUPPLEMENT, ModelConstants.IS_SUPPLEMENT_TO, date)
} }
@ -338,7 +335,7 @@ object BioDBToOAF {
def EBITargetLinksFilter(input: EBILinks): Boolean = { def EBITargetLinksFilter(input: EBILinks): Boolean = {
input.targetPidType.equalsIgnoreCase("ena") || input.targetPidType.equalsIgnoreCase("pdb") || input.targetPidType.equalsIgnoreCase("uniprot") input.targetPidType.equalsIgnoreCase("ena") || input.targetPidType.equalsIgnoreCase("pdb") || input.targetPidType.equalsIgnoreCase("uniprot")
} }

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@ -1,8 +1,8 @@
package eu.dnetlib.dhp.sx.graph.bio package eu.dnetllib.dhp.sx.bio
import eu.dnetlib.dhp.application.ArgumentApplicationParser import eu.dnetlib.dhp.application.ArgumentApplicationParser
import eu.dnetlib.dhp.schema.oaf.{Oaf, Result} import eu.dnetlib.dhp.schema.oaf.Oaf
import BioDBToOAF.ScholixResolved import eu.dnetllib.dhp.sx.bio.BioDBToOAF.ScholixResolved
import org.apache.commons.io.IOUtils import org.apache.commons.io.IOUtils
import org.apache.spark.SparkConf import org.apache.spark.SparkConf
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession} import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
@ -31,17 +31,16 @@ object SparkTransformBioDatabaseToOAF {
.master(parser.get("master")).getOrCreate() .master(parser.get("master")).getOrCreate()
val sc = spark.sparkContext val sc = spark.sparkContext
implicit val resultEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf]) implicit val resultEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
import spark.implicits._ import spark.implicits._
database.toUpperCase() match { database.toUpperCase() match {
case "UNIPROT" => case "UNIPROT" =>
spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.uniprotToOAF(i))).write.mode(SaveMode.Overwrite).save(targetPath) spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.uniprotToOAF(i))).write.mode(SaveMode.Overwrite).save(targetPath)
case "PDB"=> case "PDB" =>
spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.pdbTOOaf(i))).write.mode(SaveMode.Overwrite).save(targetPath) spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.pdbTOOaf(i))).write.mode(SaveMode.Overwrite).save(targetPath)
case "SCHOLIX" => case "SCHOLIX" =>
spark.read.load(dbPath).as[ScholixResolved].map(i => BioDBToOAF.scholixResolvedToOAF(i)).write.mode(SaveMode.Overwrite).save(targetPath) spark.read.load(dbPath).as[ScholixResolved].map(i => BioDBToOAF.scholixResolvedToOAF(i)).write.mode(SaveMode.Overwrite).save(targetPath)
case "CROSSREF_LINKS"=> case "CROSSREF_LINKS" =>
spark.createDataset(sc.textFile(dbPath).map(i => BioDBToOAF.crossrefLinksToOaf(i))).write.mode(SaveMode.Overwrite).save(targetPath) spark.createDataset(sc.textFile(dbPath).map(i => BioDBToOAF.crossrefLinksToOaf(i))).write.mode(SaveMode.Overwrite).save(targetPath)
} }
} }

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@ -1,10 +1,10 @@
package eu.dnetlib.dhp.sx.graph.ebi package eu.dnetllib.dhp.sx.bio.ebi
import eu.dnetlib.dhp.application.ArgumentApplicationParser import eu.dnetlib.dhp.application.ArgumentApplicationParser
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
import eu.dnetlib.dhp.schema.oaf.Result import eu.dnetlib.dhp.schema.oaf.Result
import eu.dnetlib.dhp.sx.graph.bio.pubmed.{PMArticle, PMAuthor, PMJournal, PMParser, PubMedToOaf}
import eu.dnetlib.dhp.utils.ISLookupClientFactory import eu.dnetlib.dhp.utils.ISLookupClientFactory
import eu.dnetllib.dhp.sx.bio.pubmed.{PMArticle, PMAuthor, PMJournal, PMParser, PubMedToOaf}
import org.apache.commons.io.IOUtils import org.apache.commons.io.IOUtils
import org.apache.hadoop.conf.Configuration import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.fs.{FSDataOutputStream, FileSystem, Path} import org.apache.hadoop.fs.{FSDataOutputStream, FileSystem, Path}
@ -24,24 +24,24 @@ import scala.xml.pull.XMLEventReader
object SparkCreateBaselineDataFrame { object SparkCreateBaselineDataFrame {
def requestBaseLineUpdatePage(maxFile:String):List[(String,String)] = { def requestBaseLineUpdatePage(maxFile: String): List[(String, String)] = {
val data =requestPage("https://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/") val data = requestPage("https://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/")
val result =data.lines.filter(l => l.startsWith("<a href=")).map{l => val result = data.lines.filter(l => l.startsWith("<a href=")).map { l =>
val end = l.lastIndexOf("\">") val end = l.lastIndexOf("\">")
val start = l.indexOf("<a href=\"") val start = l.indexOf("<a href=\"")
if (start>= 0 && end >start) if (start >= 0 && end > start)
l.substring(start+9, (end-start)) l.substring(start + 9, (end - start))
else else
"" ""
}.filter(s =>s.endsWith(".gz") ).filter(s => s > maxFile).map(s => (s,s"https://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/$s")).toList }.filter(s => s.endsWith(".gz")).filter(s => s > maxFile).map(s => (s, s"https://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/$s")).toList
result result
} }
def downloadBaselinePart(url:String):InputStream = { def downloadBaselinePart(url: String): InputStream = {
val r = new HttpGet(url) val r = new HttpGet(url)
val timeout = 60; // seconds val timeout = 60; // seconds
val config = RequestConfig.custom() val config = RequestConfig.custom()
@ -55,7 +55,7 @@ object SparkCreateBaselineDataFrame {
} }
def requestPage(url:String):String = { def requestPage(url: String): String = {
val r = new HttpGet(url) val r = new HttpGet(url)
val timeout = 60; // seconds val timeout = 60; // seconds
val config = RequestConfig.custom() val config = RequestConfig.custom()
@ -90,25 +90,21 @@ object SparkCreateBaselineDataFrame {
} }
def downloadBaseLineUpdate(baselinePath: String, hdfsServerUri: String): Unit = {
def downloadBaseLineUpdate(baselinePath:String, hdfsServerUri:String ):Unit = {
val conf = new Configuration val conf = new Configuration
conf.set("fs.defaultFS", hdfsServerUri) conf.set("fs.defaultFS", hdfsServerUri)
val fs = FileSystem.get(conf) val fs = FileSystem.get(conf)
val p = new Path(baselinePath) val p = new Path(baselinePath)
val files = fs.listFiles(p,false) val files = fs.listFiles(p, false)
var max_file = "" var max_file = ""
while (files.hasNext) { while (files.hasNext) {
val c = files.next() val c = files.next()
val data = c.getPath.toString val data = c.getPath.toString
val fileName = data.substring(data.lastIndexOf("/")+1) val fileName = data.substring(data.lastIndexOf("/") + 1)
if (fileName> max_file) if (fileName > max_file)
max_file = fileName max_file = fileName
} }
@ -119,7 +115,7 @@ object SparkCreateBaselineDataFrame {
val fsDataOutputStream: FSDataOutputStream = fs.create(hdfsWritePath, true) val fsDataOutputStream: FSDataOutputStream = fs.create(hdfsWritePath, true)
val i = downloadBaselinePart(u._2) val i = downloadBaselinePart(u._2)
val buffer = Array.fill[Byte](1024)(0) val buffer = Array.fill[Byte](1024)(0)
while(i.read(buffer)>0) { while (i.read(buffer) > 0) {
fsDataOutputStream.write(buffer) fsDataOutputStream.write(buffer)
} }
i.close() i.close()
@ -134,11 +130,11 @@ object SparkCreateBaselineDataFrame {
override def zero: PMArticle = new PMArticle override def zero: PMArticle = new PMArticle
override def reduce(b: PMArticle, a: (String, PMArticle)): PMArticle = { override def reduce(b: PMArticle, a: (String, PMArticle)): PMArticle = {
if (b != null && b.getPmid!= null) b else a._2 if (b != null && b.getPmid != null) b else a._2
} }
override def merge(b1: PMArticle, b2: PMArticle): PMArticle = { override def merge(b1: PMArticle, b2: PMArticle): PMArticle = {
if (b1 != null && b1.getPmid!= null) b1 else b2 if (b1 != null && b1.getPmid != null) b1 else b2
} }
@ -153,7 +149,7 @@ object SparkCreateBaselineDataFrame {
def main(args: Array[String]): Unit = { def main(args: Array[String]): Unit = {
val conf: SparkConf = new SparkConf() val conf: SparkConf = new SparkConf()
val log: Logger = LoggerFactory.getLogger(getClass) val log: Logger = LoggerFactory.getLogger(getClass)
val parser = new ArgumentApplicationParser(IOUtils.toString(SparkEBILinksToOaf.getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/ebi/baseline_to_oaf_params.json"))) val parser = new ArgumentApplicationParser(IOUtils.toString(SparkEBILinksToOaf.getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/bio/ebi/baseline_to_oaf_params.json")))
parser.parseArgument(args) parser.parseArgument(args)
val isLookupUrl: String = parser.get("isLookupUrl") val isLookupUrl: String = parser.get("isLookupUrl")
log.info("isLookupUrl: {}", isLookupUrl) log.info("isLookupUrl: {}", isLookupUrl)
@ -175,32 +171,32 @@ object SparkCreateBaselineDataFrame {
.config(conf) .config(conf)
.appName(SparkEBILinksToOaf.getClass.getSimpleName) .appName(SparkEBILinksToOaf.getClass.getSimpleName)
.master(parser.get("master")).getOrCreate() .master(parser.get("master")).getOrCreate()
import spark.implicits._
val sc = spark.sparkContext val sc = spark.sparkContext
import spark.implicits._
implicit val PMEncoder: Encoder[PMArticle] = Encoders.kryo(classOf[PMArticle]) implicit val PMEncoder: Encoder[PMArticle] = Encoders.kryo(classOf[PMArticle])
implicit val PMJEncoder: Encoder[PMJournal] = Encoders.kryo(classOf[PMJournal]) implicit val PMJEncoder: Encoder[PMJournal] = Encoders.kryo(classOf[PMJournal])
implicit val PMAEncoder: Encoder[PMAuthor] = Encoders.kryo(classOf[PMAuthor]) implicit val PMAEncoder: Encoder[PMAuthor] = Encoders.kryo(classOf[PMAuthor])
implicit val resultEncoder: Encoder[Result] = Encoders.kryo(classOf[Result]) implicit val resultEncoder: Encoder[Result] = Encoders.kryo(classOf[Result])
downloadBaseLineUpdate(s"$workingPath/baseline", hdfsServerUri) downloadBaseLineUpdate(s"$workingPath/baseline", hdfsServerUri)
val k: RDD[(String, String)] = sc.wholeTextFiles(s"$workingPath/baseline",2000) val k: RDD[(String, String)] = sc.wholeTextFiles(s"$workingPath/baseline_ftp", 2000)
val ds:Dataset[PMArticle] = spark.createDataset(k.filter(i => i._1.endsWith(".gz")).flatMap(i =>{ val ds: Dataset[PMArticle] = spark.createDataset(k.filter(i => i._1.endsWith(".gz")).flatMap(i => {
val xml = new XMLEventReader(Source.fromBytes(i._2.getBytes())) val xml = new XMLEventReader(Source.fromBytes(i._2.getBytes()))
new PMParser(xml) new PMParser(xml)
} )) }))
ds.map(p => (p.getPmid,p))(Encoders.tuple(Encoders.STRING, PMEncoder)).groupByKey(_._1) ds.map(p => (p.getPmid, p))(Encoders.tuple(Encoders.STRING, PMEncoder)).groupByKey(_._1)
.agg(pmArticleAggregator.toColumn) .agg(pmArticleAggregator.toColumn)
.map(p => p._2).write.mode(SaveMode.Overwrite).save(s"$workingPath/baseline_dataset") .map(p => p._2).write.mode(SaveMode.Overwrite).save(s"$workingPath/baseline_dataset")
val exported_dataset = spark.read.load(s"$workingPath/baseline_dataset").as[PMArticle] val exported_dataset = spark.read.load(s"$workingPath/baseline_dataset").as[PMArticle]
exported_dataset exported_dataset
.map(a => PubMedToOaf.convert(a, vocabularies)).as[Result] .map(a => PubMedToOaf.convert(a, vocabularies)).as[Result]
.filter(p => p!= null) .filter(p => p != null)
.write.mode(SaveMode.Overwrite).save(targetPath) .write.mode(SaveMode.Overwrite).save(targetPath)
} }
} }

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@ -1,8 +1,8 @@
package eu.dnetlib.dhp.sx.graph.ebi package eu.dnetllib.dhp.sx.bio.ebi
import eu.dnetlib.dhp.application.ArgumentApplicationParser import eu.dnetlib.dhp.application.ArgumentApplicationParser
import eu.dnetlib.dhp.sx.graph.bio.BioDBToOAF.EBILinkItem import eu.dnetllib.dhp.sx.bio.BioDBToOAF.EBILinkItem
import eu.dnetlib.dhp.sx.graph.bio.pubmed.{PMArticle, PMAuthor, PMJournal} import eu.dnetllib.dhp.sx.bio.pubmed.{PMArticle, PMAuthor, PMJournal}
import org.apache.commons.io.IOUtils import org.apache.commons.io.IOUtils
import org.apache.http.client.config.RequestConfig import org.apache.http.client.config.RequestConfig
import org.apache.http.client.methods.HttpGet import org.apache.http.client.methods.HttpGet
@ -14,15 +14,15 @@ import org.slf4j.{Logger, LoggerFactory}
object SparkDownloadEBILinks { object SparkDownloadEBILinks {
def createEBILinks(pmid:Long):EBILinkItem = { def createEBILinks(pmid: Long): EBILinkItem = {
val res = requestLinks(pmid) val res = requestLinks(pmid)
if (res!=null) if (res != null)
return EBILinkItem(pmid, res) return EBILinkItem(pmid, res)
null null
} }
def requestPage(url:String):String = { def requestPage(url: String): String = {
val r = new HttpGet(url) val r = new HttpGet(url)
val timeout = 60; // seconds val timeout = 60; // seconds
val config = RequestConfig.custom() val config = RequestConfig.custom()
@ -56,10 +56,11 @@ object SparkDownloadEBILinks {
} }
} }
def requestLinks(PMID:Long):String = { def requestLinks(PMID: Long): String = {
requestPage(s"https://www.ebi.ac.uk/europepmc/webservices/rest/MED/$PMID/datalinks?format=json") requestPage(s"https://www.ebi.ac.uk/europepmc/webservices/rest/MED/$PMID/datalinks?format=json")
} }
def main(args: Array[String]): Unit = { def main(args: Array[String]): Unit = {
val log: Logger = LoggerFactory.getLogger(getClass) val log: Logger = LoggerFactory.getLogger(getClass)
@ -76,9 +77,9 @@ object SparkDownloadEBILinks {
import spark.implicits._ import spark.implicits._
implicit val PMEncoder: Encoder[PMArticle] = Encoders.kryo(classOf[PMArticle]) implicit val PMEncoder: Encoder[PMArticle] = Encoders.kryo(classOf[PMArticle])
implicit val PMJEncoder: Encoder[PMJournal] = Encoders.kryo(classOf[PMJournal]) implicit val PMJEncoder: Encoder[PMJournal] = Encoders.kryo(classOf[PMJournal])
implicit val PMAEncoder: Encoder[PMAuthor] = Encoders.kryo(classOf[PMAuthor]) implicit val PMAEncoder: Encoder[PMAuthor] = Encoders.kryo(classOf[PMAuthor])
val sourcePath = parser.get("sourcePath") val sourcePath = parser.get("sourcePath")
log.info(s"sourcePath -> $sourcePath") log.info(s"sourcePath -> $sourcePath")
@ -86,29 +87,29 @@ object SparkDownloadEBILinks {
log.info(s"workingPath -> $workingPath") log.info(s"workingPath -> $workingPath")
log.info("Getting max pubmedId where the links have been requested") log.info("Getting max pubmedId where the links have been requested")
val links:Dataset[EBILinkItem] = spark.read.load(s"$sourcePath/ebi_links_dataset").as[EBILinkItem] val links: Dataset[EBILinkItem] = spark.read.load(s"$sourcePath/ebi_links_dataset").as[EBILinkItem]
val lastPMIDRequested =links.map(l => l.id).select(max("value")).first.getLong(0) val lastPMIDRequested = links.map(l => l.id).select(max("value")).first.getLong(0)
log.info("Retrieving PMID to request links") log.info("Retrieving PMID to request links")
val pubmed = spark.read.load(s"$sourcePath/baseline_dataset").as[PMArticle] val pubmed = spark.read.load(s"$sourcePath/baseline_dataset").as[PMArticle]
pubmed.map(p => p.getPmid.toLong).where(s"value > $lastPMIDRequested").write.mode(SaveMode.Overwrite).save(s"$workingPath/id_to_request") pubmed.map(p => p.getPmid.toLong).where(s"value > $lastPMIDRequested").write.mode(SaveMode.Overwrite).save(s"$workingPath/id_to_request")
val pmidToReq:Dataset[Long] = spark.read.load(s"$workingPath/id_to_request").as[Long] val pmidToReq: Dataset[Long] = spark.read.load(s"$workingPath/id_to_request").as[Long]
val total = pmidToReq.count() val total = pmidToReq.count()
spark.createDataset(pmidToReq.rdd.repartition((total/MAX_ITEM_PER_PARTITION).toInt).map(pmid =>createEBILinks(pmid)).filter(l => l!= null)).write.mode(SaveMode.Overwrite).save(s"$workingPath/links_update") spark.createDataset(pmidToReq.rdd.repartition((total / MAX_ITEM_PER_PARTITION).toInt).map(pmid => createEBILinks(pmid)).filter(l => l != null)).write.mode(SaveMode.Overwrite).save(s"$workingPath/links_update")
val updates:Dataset[EBILinkItem] =spark.read.load(s"$workingPath/links_update").as[EBILinkItem] val updates: Dataset[EBILinkItem] = spark.read.load(s"$workingPath/links_update").as[EBILinkItem]
links.union(updates).groupByKey(_.id) links.union(updates).groupByKey(_.id)
.reduceGroups{(x,y) => .reduceGroups { (x, y) =>
if (x == null || x.links ==null) if (x == null || x.links == null)
y y
if (y ==null || y.links ==null) if (y == null || y.links == null)
x x
if (x.links.length > y.links.length) if (x.links.length > y.links.length)
x x
else else
y y
}.map(_._2).write.mode(SaveMode.Overwrite).save(s"$workingPath/links_final") }.map(_._2).write.mode(SaveMode.Overwrite).save(s"$workingPath/links_final")

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@ -1,15 +1,14 @@
package eu.dnetlib.dhp.sx.graph.ebi package eu.dnetllib.dhp.sx.bio.ebi
import eu.dnetlib.dhp.application.ArgumentApplicationParser import eu.dnetlib.dhp.application.ArgumentApplicationParser
import eu.dnetlib.dhp.schema.oaf.Oaf import eu.dnetlib.dhp.schema.oaf.Oaf
import eu.dnetlib.dhp.sx.graph.bio import eu.dnetllib.dhp.sx.bio.BioDBToOAF
import eu.dnetlib.dhp.sx.graph.bio.BioDBToOAF import eu.dnetllib.dhp.sx.bio.BioDBToOAF.EBILinkItem
import eu.dnetlib.dhp.sx.graph.bio.BioDBToOAF.EBILinkItem
import org.apache.commons.io.IOUtils import org.apache.commons.io.IOUtils
import org.apache.spark.SparkConf import org.apache.spark.SparkConf
import org.apache.spark.rdd.RDD import org.apache.spark.sql._
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
import org.slf4j.{Logger, LoggerFactory} import org.slf4j.{Logger, LoggerFactory}
object SparkEBILinksToOaf { object SparkEBILinksToOaf {
def main(args: Array[String]): Unit = { def main(args: Array[String]): Unit = {
@ -24,17 +23,17 @@ object SparkEBILinksToOaf {
.appName(SparkEBILinksToOaf.getClass.getSimpleName) .appName(SparkEBILinksToOaf.getClass.getSimpleName)
.master(parser.get("master")).getOrCreate() .master(parser.get("master")).getOrCreate()
import spark.implicits._
val sourcePath = parser.get("sourcePath") val sourcePath = parser.get("sourcePath")
log.info(s"sourcePath -> $sourcePath") log.info(s"sourcePath -> $sourcePath")
val targetPath = parser.get("targetPath") val targetPath = parser.get("targetPath")
log.info(s"targetPath -> $targetPath") log.info(s"targetPath -> $targetPath")
implicit val PMEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
import spark.implicits._ val ebLinks: Dataset[EBILinkItem] = spark.read.load(s"${sourcePath}_dataset").as[EBILinkItem].filter(l => l.links != null)
implicit val PMEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
val ebLinks:Dataset[EBILinkItem] = spark.read.load(s"${sourcePath}_dataset").as[EBILinkItem].filter(l => l.links!= null) ebLinks.flatMap(j => BioDBToOAF.parse_ebi_links(j.links))
ebLinks.flatMap(j =>BioDBToOAF.parse_ebi_links(j.links))
.filter(p => BioDBToOAF.EBITargetLinksFilter(p)) .filter(p => BioDBToOAF.EBITargetLinksFilter(p))
.flatMap(p => BioDBToOAF.convertEBILinksToOaf(p)) .flatMap(p => BioDBToOAF.convertEBILinksToOaf(p))
.write.mode(SaveMode.Overwrite).save(targetPath) .write.mode(SaveMode.Overwrite).save(targetPath)

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@ -1,5 +1,5 @@
package eu.dnetlib.dhp.sx.graph.bio.pubmed; package eu.dnetllib.dhp.sx.bio.pubmed;
import java.io.Serializable; import java.io.Serializable;
import java.util.ArrayList; import java.util.ArrayList;

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@ -1,5 +1,5 @@
package eu.dnetlib.dhp.sx.graph.bio.pubmed; package eu.dnetllib.dhp.sx.bio.pubmed;
import java.io.Serializable; import java.io.Serializable;

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@ -1,5 +1,5 @@
package eu.dnetlib.dhp.sx.graph.bio.pubmed; package eu.dnetllib.dhp.sx.bio.pubmed;
public class PMGrant { public class PMGrant {

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@ -1,5 +1,5 @@
package eu.dnetlib.dhp.sx.graph.bio.pubmed; package eu.dnetllib.dhp.sx.bio.pubmed;
import java.io.Serializable; import java.io.Serializable;

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@ -1,4 +1,4 @@
package eu.dnetlib.dhp.sx.graph.bio.pubmed package eu.dnetllib.dhp.sx.bio.pubmed
import scala.xml.MetaData import scala.xml.MetaData
import scala.xml.pull.{EvElemEnd, EvElemStart, EvText, XMLEventReader} import scala.xml.pull.{EvElemEnd, EvElemStart, EvText, XMLEventReader}

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@ -1,5 +1,5 @@
package eu.dnetlib.dhp.sx.graph.bio.pubmed; package eu.dnetllib.dhp.sx.bio.pubmed;
public class PMSubject { public class PMSubject {
private String value; private String value;

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@ -1,11 +1,12 @@
package eu.dnetlib.dhp.sx.graph.bio.pubmed package eu.dnetllib.dhp.sx.bio.pubmed
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
import eu.dnetlib.dhp.schema.common.ModelConstants import eu.dnetlib.dhp.schema.common.ModelConstants
import eu.dnetlib.dhp.schema.oaf._
import eu.dnetlib.dhp.schema.oaf.utils.{GraphCleaningFunctions, IdentifierFactory, OafMapperUtils, PidType} import eu.dnetlib.dhp.schema.oaf.utils.{GraphCleaningFunctions, IdentifierFactory, OafMapperUtils, PidType}
import eu.dnetlib.dhp.schema.oaf._
import scala.collection.JavaConverters._
import java.util.regex.Pattern import java.util.regex.Pattern
import scala.collection.JavaConverters._
object PubMedToOaf { object PubMedToOaf {
@ -15,7 +16,7 @@ object PubMedToOaf {
"doi" -> "https://dx.doi.org/" "doi" -> "https://dx.doi.org/"
) )
def cleanDoi(doi:String):String = { def cleanDoi(doi: String): String = {
val regex = "^10.\\d{4,9}\\/[\\[\\]\\-\\<\\>._;()\\/:A-Z0-9]+$" val regex = "^10.\\d{4,9}\\/[\\[\\]\\-\\<\\>._;()\\/:A-Z0-9]+$"
@ -71,14 +72,14 @@ object PubMedToOaf {
if (article.getPublicationTypes == null) if (article.getPublicationTypes == null)
return null return null
val i = new Instance val i = new Instance
var pidList: List[StructuredProperty] = List(OafMapperUtils.structuredProperty(article.getPmid, PidType.pmid.toString, PidType.pmid.toString, ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES, dataInfo)) val pidList: List[StructuredProperty] = List(OafMapperUtils.structuredProperty(article.getPmid, PidType.pmid.toString, PidType.pmid.toString, ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES, dataInfo))
if (pidList == null) if (pidList == null)
return null return null
var alternateIdentifier :StructuredProperty = null var alternateIdentifier: StructuredProperty = null
if (article.getDoi != null) { if (article.getDoi != null) {
val normalizedPid = cleanDoi(article.getDoi) val normalizedPid = cleanDoi(article.getDoi)
if (normalizedPid!= null) if (normalizedPid != null)
alternateIdentifier = OafMapperUtils.structuredProperty(normalizedPid, PidType.doi.toString, PidType.doi.toString, ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES, dataInfo) alternateIdentifier = OafMapperUtils.structuredProperty(normalizedPid, PidType.doi.toString, PidType.doi.toString, ModelConstants.DNET_PID_TYPES, ModelConstants.DNET_PID_TYPES, dataInfo)
} }
@ -102,10 +103,10 @@ object PubMedToOaf {
return result return result
result.setDataInfo(dataInfo) result.setDataInfo(dataInfo)
i.setPid(pidList.asJava) i.setPid(pidList.asJava)
if (alternateIdentifier!= null) if (alternateIdentifier != null)
i.setAlternateIdentifier(List(alternateIdentifier).asJava) i.setAlternateIdentifier(List(alternateIdentifier).asJava)
result.setInstance(List(i).asJava) result.setInstance(List(i).asJava)
i.getPid.asScala.filter(p => "pmid".equalsIgnoreCase(p.getQualifier.getClassid)).map(p => p.getValue)(collection breakOut) i.getPid.asScala.filter(p => "pmid".equalsIgnoreCase(p.getQualifier.getClassid)).map(p => p.getValue)(collection.breakOut)
val urlLists: List[String] = pidList val urlLists: List[String] = pidList
.map(s => (urlMap.getOrElse(s.getQualifier.getClassid, ""), s.getValue)) .map(s => (urlMap.getOrElse(s.getQualifier.getClassid, ""), s.getValue))
.filter(t => t._1.nonEmpty) .filter(t => t._1.nonEmpty)
@ -136,7 +137,7 @@ object PubMedToOaf {
} }
val subjects: List[StructuredProperty] = article.getSubjects.asScala.map(s => OafMapperUtils.structuredProperty(s.getValue, SUBJ_CLASS, SUBJ_CLASS, ModelConstants.DNET_SUBJECT_TYPOLOGIES, ModelConstants.DNET_SUBJECT_TYPOLOGIES, dataInfo))(collection breakOut) val subjects: List[StructuredProperty] = article.getSubjects.asScala.map(s => OafMapperUtils.structuredProperty(s.getValue, SUBJ_CLASS, SUBJ_CLASS, ModelConstants.DNET_SUBJECT_TYPOLOGIES, ModelConstants.DNET_SUBJECT_TYPOLOGIES, dataInfo))(collection.breakOut)
if (subjects != null) if (subjects != null)
result.setSubject(subjects.asJava) result.setSubject(subjects.asJava)
@ -148,7 +149,7 @@ object PubMedToOaf {
author.setFullname(a.getFullName) author.setFullname(a.getFullName)
author.setRank(index + 1) author.setRank(index + 1)
author author
}(collection breakOut) }(collection.breakOut)
if (authors != null && authors.nonEmpty) if (authors != null && authors.nonEmpty)

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@ -1,13 +1,9 @@
<workflow-app name="Transform_Pubmed_Workflow" xmlns="uri:oozie:workflow:0.5"> <workflow-app name="Download_Transform_Pubmed_Workflow" xmlns="uri:oozie:workflow:0.5">
<parameters> <parameters>
<property> <property>
<name>baselineWorkingPath</name> <name>baselineWorkingPath</name>
<description>the Baseline Working Path</description> <description>the Baseline Working Path</description>
</property> </property>
<property>
<name>targetPath</name>
<description>the Target Path</description>
</property>
<property> <property>
<name>isLookupUrl</name> <name>isLookupUrl</name>
<description>The IS lookUp service endopoint</description> <description>The IS lookUp service endopoint</description>
@ -24,8 +20,8 @@
<spark xmlns="uri:oozie:spark-action:0.2"> <spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master> <master>yarn</master>
<mode>cluster</mode> <mode>cluster</mode>
<name>Convert Baseline to Dataset</name> <name>Convert Baseline to OAF Dataset</name>
<class>eu.dnetlib.dhp.sx.graph.ebi.SparkCreateBaselineDataFrame</class> <class>eu.dnetllib.dhp.sx.bio.ebi.SparkCreateBaselineDataFrame</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar> <jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts> <spark-opts>
--executor-memory=${sparkExecutorMemory} --executor-memory=${sparkExecutorMemory}
@ -38,9 +34,10 @@
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir} --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
</spark-opts> </spark-opts>
<arg>--workingPath</arg><arg>${baselineWorkingPath}</arg> <arg>--workingPath</arg><arg>${baselineWorkingPath}</arg>
<arg>--targetPath</arg><arg>${targetPath}</arg> <arg>--targetPath</arg><arg>${baselineWorkingPath}/transformed</arg>
<arg>--master</arg><arg>yarn</arg> <arg>--master</arg><arg>yarn</arg>
<arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg> <arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
<arg>--hdfsServerUri</arg><arg>${nameNode}</arg>
</spark> </spark>
<ok to="End"/> <ok to="End"/>
<error to="Kill"/> <error to="Kill"/>

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@ -1,13 +1,10 @@
package eu.dnetlib.dhp.sx.graph.bio.pubmed package eu.dnetllib.dhp.sx.bio
import com.fasterxml.jackson.databind.{DeserializationFeature, ObjectMapper, SerializationFeature} import com.fasterxml.jackson.databind.{DeserializationFeature, ObjectMapper, SerializationFeature}
import eu.dnetlib.dhp.schema.common.ModelConstants import eu.dnetlib.dhp.aggregation.AbstractVocabularyTest
import eu.dnetlib.dhp.schema.oaf.utils.{CleaningFunctions, OafMapperUtils, PidType}
import eu.dnetlib.dhp.schema.oaf.{Oaf, Relation, Result} import eu.dnetlib.dhp.schema.oaf.{Oaf, Relation, Result}
import eu.dnetlib.dhp.sx.graph.bio.BioDBToOAF.ScholixResolved import eu.dnetllib.dhp.sx.bio.BioDBToOAF.ScholixResolved
import eu.dnetlib.dhp.sx.graph.bio.BioDBToOAF import eu.dnetllib.dhp.sx.bio.pubmed.{PMArticle, PMParser, PubMedToOaf}
import eu.dnetlib.dhp.sx.graph.bio.pubmed.PubMedToOaf.dataInfo
import eu.dnetlib.dhp.sx.graph.ebi.SparkDownloadEBILinks
import org.json4s.DefaultFormats import org.json4s.DefaultFormats
import org.json4s.JsonAST.{JField, JObject, JString} import org.json4s.JsonAST.{JField, JObject, JString}
import org.json4s.jackson.JsonMethods.parse import org.json4s.jackson.JsonMethods.parse
@ -55,7 +52,7 @@ class BioScholixTest extends AbstractVocabularyTest{
@Test @Test
def testEBIData() = { def testEBIData() = {
val inputXML = Source.fromInputStream(getClass.getResourceAsStream("pubmed.xml")).mkString val inputXML = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml")).mkString
val xml = new XMLEventReader(Source.fromBytes(inputXML.getBytes())) val xml = new XMLEventReader(Source.fromBytes(inputXML.getBytes()))
new PMParser(xml).foreach(s =>println(mapper.writeValueAsString(s))) new PMParser(xml).foreach(s =>println(mapper.writeValueAsString(s)))
} }
@ -65,7 +62,7 @@ class BioScholixTest extends AbstractVocabularyTest{
def testPubmedToOaf(): Unit = { def testPubmedToOaf(): Unit = {
assertNotNull(vocabularies) assertNotNull(vocabularies)
assertTrue(vocabularies.vocabularyExists("dnet:publication_resource")) assertTrue(vocabularies.vocabularyExists("dnet:publication_resource"))
val records:String =Source.fromInputStream(getClass.getResourceAsStream("pubmed_dump")).mkString val records:String =Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed_dump")).mkString
val r:List[Oaf] = records.lines.toList.map(s=>mapper.readValue(s, classOf[PMArticle])).map(a => PubMedToOaf.convert(a, vocabularies)) val r:List[Oaf] = records.lines.toList.map(s=>mapper.readValue(s, classOf[PMArticle])).map(a => PubMedToOaf.convert(a, vocabularies))
assertEquals(10, r.size) assertEquals(10, r.size)
assertTrue(r.map(p => p.asInstanceOf[Result]).flatMap(p => p.getInstance().asScala.map(i => i.getInstancetype.getClassid)).exists(p => "0037".equalsIgnoreCase(p))) 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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@ -69,7 +69,7 @@ public class PropagationConstant {
PROPAGATION_DATA_INFO_TYPE, PROPAGATION_DATA_INFO_TYPE,
PROPAGATION_COUNTRY_INSTREPO_CLASS_ID, PROPAGATION_COUNTRY_INSTREPO_CLASS_ID,
PROPAGATION_COUNTRY_INSTREPO_CLASS_NAME, PROPAGATION_COUNTRY_INSTREPO_CLASS_NAME,
ModelConstants.DNET_PROVENANCE_ACTIONS)); ModelConstants.DNET_PROVENANCE_ACTIONS));
return nc; return nc;
} }
@ -84,7 +84,8 @@ public class PropagationConstant {
return di; return di;
} }
public static Qualifier getQualifier(String inference_class_id, String inference_class_name, String qualifierSchema) { public static Qualifier getQualifier(String inference_class_id, String inference_class_name,
String qualifierSchema) {
Qualifier pa = new Qualifier(); Qualifier pa = new Qualifier();
pa.setClassid(inference_class_id); pa.setClassid(inference_class_id);
pa.setClassname(inference_class_name); pa.setClassname(inference_class_name);
@ -108,7 +109,11 @@ public class PropagationConstant {
r.setRelClass(rel_class); r.setRelClass(rel_class);
r.setRelType(rel_type); r.setRelType(rel_type);
r.setSubRelType(subrel_type); r.setSubRelType(subrel_type);
r.setDataInfo(getDataInfo(inference_provenance, inference_class_id, inference_class_name, ModelConstants.DNET_PROVENANCE_ACTIONS)); r
.setDataInfo(
getDataInfo(
inference_provenance, inference_class_id, inference_class_name,
ModelConstants.DNET_PROVENANCE_ACTIONS));
return r; return r;
} }

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@ -173,14 +173,17 @@ public class SparkOrcidToResultFromSemRelJob {
if (toaddpid) { if (toaddpid) {
StructuredProperty p = new StructuredProperty(); StructuredProperty p = new StructuredProperty();
p.setValue(autoritative_author.getOrcid()); p.setValue(autoritative_author.getOrcid());
p.setQualifier(getQualifier(ModelConstants.ORCID_PENDING, ModelConstants.ORCID_CLASSNAME, ModelConstants.DNET_PID_TYPES)); p
.setQualifier(
getQualifier(
ModelConstants.ORCID_PENDING, ModelConstants.ORCID_CLASSNAME, ModelConstants.DNET_PID_TYPES));
p p
.setDataInfo( .setDataInfo(
getDataInfo( getDataInfo(
PROPAGATION_DATA_INFO_TYPE, PROPAGATION_DATA_INFO_TYPE,
PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_ID, PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_ID,
PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_NAME, PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_NAME,
ModelConstants.DNET_PROVENANCE_ACTIONS)); ModelConstants.DNET_PROVENANCE_ACTIONS));
Optional<List<StructuredProperty>> authorPid = Optional.ofNullable(author.getPid()); Optional<List<StructuredProperty>> authorPid = Optional.ofNullable(author.getPid());
if (authorPid.isPresent()) { if (authorPid.isPresent()) {

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@ -10,7 +10,6 @@ import java.util.List;
import java.util.Optional; import java.util.Optional;
import java.util.stream.Collectors; import java.util.stream.Collectors;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import org.apache.commons.io.IOUtils; import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf; import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction; import org.apache.spark.api.java.function.MapFunction;
@ -22,6 +21,7 @@ import org.slf4j.Logger;
import org.slf4j.LoggerFactory; import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser; import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Context; import eu.dnetlib.dhp.schema.oaf.Context;
import eu.dnetlib.dhp.schema.oaf.Result; import eu.dnetlib.dhp.schema.oaf.Result;
import scala.Tuple2; import scala.Tuple2;
@ -130,7 +130,7 @@ public class SparkResultToCommunityFromOrganizationJob {
PROPAGATION_DATA_INFO_TYPE, PROPAGATION_DATA_INFO_TYPE,
PROPAGATION_RESULT_COMMUNITY_ORGANIZATION_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_ORGANIZATION_CLASS_ID,
PROPAGATION_RESULT_COMMUNITY_ORGANIZATION_CLASS_NAME, PROPAGATION_RESULT_COMMUNITY_ORGANIZATION_CLASS_NAME,
ModelConstants.DNET_PROVENANCE_ACTIONS))); ModelConstants.DNET_PROVENANCE_ACTIONS)));
propagatedContexts.add(newContext); propagatedContexts.add(newContext);
} }
} }

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@ -7,7 +7,6 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
import java.util.*; import java.util.*;
import java.util.stream.Collectors; import java.util.stream.Collectors;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import org.apache.commons.io.IOUtils; import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf; import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction; import org.apache.spark.api.java.function.MapFunction;
@ -20,6 +19,7 @@ import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser; import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.resulttocommunityfromorganization.ResultCommunityList; import eu.dnetlib.dhp.resulttocommunityfromorganization.ResultCommunityList;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.*; import eu.dnetlib.dhp.schema.oaf.*;
import scala.Tuple2; import scala.Tuple2;
@ -126,7 +126,7 @@ public class SparkResultToCommunityThroughSemRelJob {
PROPAGATION_DATA_INFO_TYPE, PROPAGATION_DATA_INFO_TYPE,
PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID,
PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME,
ModelConstants.DNET_PROVENANCE_ACTIONS))); ModelConstants.DNET_PROVENANCE_ACTIONS)));
return newContext; return newContext;
} }
return null; return null;

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@ -1,7 +1,6 @@
package eu.dnetlib.dhp.sx.graph.pangaea package eu.dnetlib.dhp.sx.graph.pangaea
import eu.dnetlib.dhp.application.ArgumentApplicationParser import eu.dnetlib.dhp.application.ArgumentApplicationParser
import eu.dnetlib.dhp.sx.graph.ebi.SparkEBILinksToOaf
import org.apache.spark.rdd.RDD import org.apache.spark.rdd.RDD
import org.apache.spark.{SparkConf, SparkContext} import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession} import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}

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@ -84,13 +84,15 @@ public class IndexRecordTransformerTest {
@Test @Test
public void testForEOSCFutureTraining() throws IOException, TransformerException { public void testForEOSCFutureTraining() throws IOException, TransformerException {
final String record = IOUtils.toString(getClass().getResourceAsStream("eosc-future/training-notebooks-seadatanet.xml")); final String record = IOUtils
.toString(getClass().getResourceAsStream("eosc-future/training-notebooks-seadatanet.xml"));
testRecordTransformation(record); testRecordTransformation(record);
} }
@Test @Test
public void testForEOSCFutureAirQualityCopernicus() throws IOException, TransformerException { public void testForEOSCFutureAirQualityCopernicus() throws IOException, TransformerException {
final String record = IOUtils.toString(getClass().getResourceAsStream("eosc-future/air-quality-copernicus.xml")); final String record = IOUtils
.toString(getClass().getResourceAsStream("eosc-future/air-quality-copernicus.xml"));
testRecordTransformation(record); testRecordTransformation(record);
} }
@ -102,12 +104,11 @@ public class IndexRecordTransformerTest {
@Test @Test
public void testForEOSCFutureB2SharePlotRelatedORP() throws IOException, TransformerException { public void testForEOSCFutureB2SharePlotRelatedORP() throws IOException, TransformerException {
final String record = IOUtils.toString(getClass().getResourceAsStream("eosc-future/b2share-plot-related-orp.xml")); final String record = IOUtils
.toString(getClass().getResourceAsStream("eosc-future/b2share-plot-related-orp.xml"));
testRecordTransformation(record); testRecordTransformation(record);
} }
private void testRecordTransformation(final String record) throws IOException, TransformerException { private void testRecordTransformation(final String record) throws IOException, TransformerException {
final String fields = IOUtils.toString(getClass().getResourceAsStream("fields.xml")); final String fields = IOUtils.toString(getClass().getResourceAsStream("fields.xml"));
final String xslt = IOUtils.toString(getClass().getResourceAsStream("layoutToRecordTransformer.xsl")); final String xslt = IOUtils.toString(getClass().getResourceAsStream("layoutToRecordTransformer.xsl"));