[scala-refactor] Module dhp-doiboost:
Moved all scala source into src/main/scala and src/test/scala
This commit is contained in:
parent
bf880e2508
commit
e9f285ec4d
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@ -1,21 +1,19 @@
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package eu.dnetlib.doiboost
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import java.time.LocalDate
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import java.time.format.DateTimeFormatter
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import com.fasterxml.jackson.databind.ObjectMapper
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import eu.dnetlib.dhp.schema.action.AtomicAction
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import eu.dnetlib.dhp.schema.oaf.{AccessRight, DataInfo, Dataset, Field, Instance, KeyValue, Oaf, OpenAccessRoute, Organization, Publication, Qualifier, Relation, Result, StructuredProperty}
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import eu.dnetlib.dhp.schema.common.ModelConstants
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import eu.dnetlib.dhp.schema.oaf._
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import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils
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import eu.dnetlib.dhp.utils.DHPUtils
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import org.apache.commons.lang3.StringUtils
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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.doiboost.DoiBoostMappingUtil.{getClosedAccessQualifier, getEmbargoedAccessQualifier, getUnknownQualifier}
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import org.json4s
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import org.json4s.DefaultFormats
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import org.json4s.jackson.JsonMethods.parse
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import org.slf4j.{Logger, LoggerFactory}
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import java.time.LocalDate
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import java.time.format.DateTimeFormatter
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import scala.collection.JavaConverters._
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@ -8,11 +8,12 @@ import org.apache.hadoop.io.Text
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import org.apache.hadoop.io.compress.GzipCodec
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import org.apache.hadoop.mapred.SequenceFileOutputFormat
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import org.apache.spark.SparkConf
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import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
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import org.apache.spark.sql.{Dataset, Encoder, Encoders, SparkSession}
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import org.slf4j.{Logger, LoggerFactory}
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object SparkGenerateDOIBoostActionSet {
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val logger: Logger = LoggerFactory.getLogger(getClass)
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def main(args: Array[String]): Unit = {
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val conf: SparkConf = new SparkConf()
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@ -33,53 +34,41 @@ object SparkGenerateDOIBoostActionSet {
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implicit val mapEncoderAtomiAction: Encoder[AtomicAction[OafDataset]] = Encoders.kryo[AtomicAction[OafDataset]]
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val dbPublicationPath = parser.get("dbPublicationPath")
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val dbDatasetPath = parser.get("dbDatasetPath")
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val crossRefRelation = parser.get("crossRefRelation")
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val dbaffiliationRelationPath = parser.get("dbaffiliationRelationPath")
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val dbOrganizationPath = parser.get("dbOrganizationPath")
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val sequenceFilePath = parser.get("sFilePath")
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val dbPublicationPath = parser.get("dbPublicationPath")
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val dbDatasetPath = parser.get("dbDatasetPath")
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val crossRefRelation = parser.get("crossRefRelation")
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val dbaffiliationRelationPath = parser.get("dbaffiliationRelationPath")
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val dbOrganizationPath = parser.get("dbOrganizationPath")
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val sequenceFilePath = parser.get("sFilePath")
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val asDataset = spark.read.load(dbDatasetPath).as[OafDataset]
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.filter(p => p != null || p.getId != null)
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.map(d =>DoiBoostMappingUtil.fixResult(d))
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.map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
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.map(d => DoiBoostMappingUtil.fixResult(d))
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.map(d => DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
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val asPublication =spark.read.load(dbPublicationPath).as[Publication]
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val asPublication = spark.read.load(dbPublicationPath).as[Publication]
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.filter(p => p != null || p.getId != null)
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.map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
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.map(d => DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
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val asOrganization = spark.read.load(dbOrganizationPath).as[Organization]
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.map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
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.map(d => DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
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val asCRelation = spark.read.load(crossRefRelation).as[Relation]
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.filter(r => r!= null && r.getSource != null && r.getTarget != null)
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.map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
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.filter(r => r != null && r.getSource != null && r.getTarget != null)
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.map(d => DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
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val asRelAffiliation = spark.read.load(dbaffiliationRelationPath).as[Relation]
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.map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
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.map(d => DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
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val d: Dataset[(String, String)] = asDataset.union(asPublication).union(asOrganization).union(asCRelation).union(asRelAffiliation)
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d.rdd.repartition(6000).map(s => (new Text(s._1), new Text(s._2))).saveAsHadoopFile(s"$sequenceFilePath", classOf[Text], classOf[Text], classOf[SequenceFileOutputFormat[Text,Text]], classOf[GzipCodec])
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d.rdd.repartition(6000).map(s => (new Text(s._1), new Text(s._2))).saveAsHadoopFile(s"$sequenceFilePath", classOf[Text], classOf[Text], classOf[SequenceFileOutputFormat[Text, Text]], classOf[GzipCodec])
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}
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@ -9,28 +9,26 @@ import org.apache.commons.io.IOUtils
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import org.apache.spark.SparkConf
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import org.apache.spark.sql.expressions.Aggregator
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import org.apache.spark.sql.functions.col
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import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
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import org.slf4j.{Logger, LoggerFactory}
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import scala.collection.JavaConverters._
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import org.apache.spark.sql._
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import org.json4s.DefaultFormats
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import org.json4s.JsonAST.{JField, JObject, JString,JArray}
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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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import org.slf4j.{Logger, LoggerFactory}
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import scala.collection.JavaConverters._
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object SparkGenerateDoiBoost {
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def extractIdGRID(input:String):List[(String,String)] = {
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def extractIdGRID(input: String): List[(String, String)] = {
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implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
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lazy val json: org.json4s.JValue = parse(input)
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val id:String = (json \ "id").extract[String]
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val id: String = (json \ "id").extract[String]
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val grids:List[String] = for {
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val grids: List[String] = for {
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JObject(pid) <- json \ "pid"
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JField("qualifier", JObject(qualifier)) <- pid
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JField("classid", JString(classid)) <-qualifier
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JField("classid", JString(classid)) <- qualifier
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JField("value", JString(vl)) <- pid
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if classid == "GRID"
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} yield vl
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@ -38,7 +36,6 @@ object SparkGenerateDoiBoost {
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}
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def main(args: Array[String]): Unit = {
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val logger: Logger = LoggerFactory.getLogger(getClass)
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@ -73,7 +70,7 @@ object SparkGenerateDoiBoost {
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if (a != null && a._2 != null) {
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b.mergeFrom(a._2)
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b.setId(a._1)
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val authors =AuthorMerger.mergeAuthor(b.getAuthor, a._2.getAuthor)
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val authors = AuthorMerger.mergeAuthor(b.getAuthor, a._2.getAuthor)
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b.setAuthor(authors)
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return b
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}
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@ -87,11 +84,11 @@ object SparkGenerateDoiBoost {
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return b2
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}
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else {
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if (b2 != null ) {
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if (b2 != null) {
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b1.mergeFrom(b2)
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val authors =AuthorMerger.mergeAuthor(b1.getAuthor, b2.getAuthor)
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val authors = AuthorMerger.mergeAuthor(b1.getAuthor, b2.getAuthor)
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b1.setAuthor(authors)
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if (b2.getId!= null && b2.getId.nonEmpty)
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if (b2.getId != null && b2.getId.nonEmpty)
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b1.setId(b2.getId)
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return b1
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}
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@ -118,10 +115,9 @@ object SparkGenerateDoiBoost {
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val crossrefPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/crossrefPublication").as[Publication].map(p => (p.getId, p))
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val uwPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/uwPublication").as[Publication].map(p => (p.getId, p))
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def applyMerge(item:((String, Publication), (String, Publication))) : Publication =
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{
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def applyMerge(item: ((String, Publication), (String, Publication))): Publication = {
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val crossrefPub = item._1._2
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if (item._2!= null) {
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if (item._2 != null) {
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val otherPub = item._2._2
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if (otherPub != null) {
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crossrefPub.mergeFrom(otherPub)
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@ -130,6 +126,7 @@ object SparkGenerateDoiBoost {
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}
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crossrefPub
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}
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crossrefPublication.joinWith(uwPublication, crossrefPublication("_1").equalTo(uwPublication("_1")), "left").map(applyMerge).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/firstJoin")
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logger.info("Phase 3) Join Result with ORCID")
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val fj: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/firstJoin").as[Publication].map(p => (p.getId, p))
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@ -143,9 +140,9 @@ object SparkGenerateDoiBoost {
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sj.joinWith(magPublication, sj("_1").equalTo(magPublication("_1")), "left").map(applyMerge).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublication")
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val doiBoostPublication: Dataset[(String,Publication)] = spark.read.load(s"$workingDirPath/doiBoostPublication").as[Publication].filter(p=>DoiBoostMappingUtil.filterPublication(p)).map(DoiBoostMappingUtil.toISSNPair)(tupleForJoinEncoder)
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val doiBoostPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/doiBoostPublication").as[Publication].filter(p => DoiBoostMappingUtil.filterPublication(p)).map(DoiBoostMappingUtil.toISSNPair)(tupleForJoinEncoder)
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val hostedByDataset : Dataset[(String, HostedByItemType)] = spark.createDataset(spark.sparkContext.textFile(hostedByMapPath).map(DoiBoostMappingUtil.toHostedByItem))
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val hostedByDataset: Dataset[(String, HostedByItemType)] = spark.createDataset(spark.sparkContext.textFile(hostedByMapPath).map(DoiBoostMappingUtil.toHostedByItem))
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doiBoostPublication.joinWith(hostedByDataset, doiBoostPublication("_1").equalTo(hostedByDataset("_1")), "left")
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@ -164,21 +161,20 @@ object SparkGenerateDoiBoost {
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val paperAffiliation = spark.read.load(paperAffiliationPath).select(col("AffiliationId").alias("affId"), col("PaperId"))
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val a:Dataset[DoiBoostAffiliation] = paperAffiliation
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val a: Dataset[DoiBoostAffiliation] = paperAffiliation
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.joinWith(affiliation, paperAffiliation("affId").equalTo(affiliation("AffiliationId")))
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.select(col("_1.PaperId"), col("_2.AffiliationId"), col("_2.GridId"), col("_2.OfficialPage"), col("_2.DisplayName")).as[DoiBoostAffiliation]
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val magPubs:Dataset[(String,Publication)]= spark.read.load(s"$workingDirPath/doiBoostPublicationFiltered").as[Publication]
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.map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p))(tupleForJoinEncoder).filter(s =>s._1!= null )
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val magPubs: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/doiBoostPublicationFiltered").as[Publication]
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.map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p))(tupleForJoinEncoder).filter(s => s._1 != null)
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magPubs.joinWith(a,magPubs("_1").equalTo(a("PaperId"))).flatMap(item => {
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val pub:Publication = item._1._2
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magPubs.joinWith(a, magPubs("_1").equalTo(a("PaperId"))).flatMap(item => {
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val pub: Publication = item._1._2
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val affiliation = item._2
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val affId:String = if (affiliation.GridId.isDefined) s"unresolved::grid::${affiliation.GridId.get.toLowerCase}" else DoiBoostMappingUtil.generateMAGAffiliationId(affiliation.AffiliationId.toString)
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val r:Relation = new Relation
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val affId: String = if (affiliation.GridId.isDefined) s"unresolved::grid::${affiliation.GridId.get.toLowerCase}" else DoiBoostMappingUtil.generateMAGAffiliationId(affiliation.AffiliationId.toString)
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val r: Relation = new Relation
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r.setSource(pub.getId)
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r.setTarget(affId)
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r.setRelType(ModelConstants.RESULT_ORGANIZATION)
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@ -186,7 +182,7 @@ object SparkGenerateDoiBoost {
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r.setSubRelType(ModelConstants.AFFILIATION)
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r.setDataInfo(pub.getDataInfo)
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r.setCollectedfrom(List(DoiBoostMappingUtil.createMAGCollectedFrom()).asJava)
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val r1:Relation = new Relation
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val r1: Relation = new Relation
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r1.setTarget(pub.getId)
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r1.setSource(affId)
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r1.setRelType(ModelConstants.RESULT_ORGANIZATION)
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@ -198,33 +194,31 @@ object SparkGenerateDoiBoost {
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})(mapEncoderRel).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublicationAffiliation_unresolved")
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val unresolvedRels:Dataset[(String, Relation)] = spark.read.load(s"$workingDirPath/doiBoostPublicationAffiliation_unresolved").as[Relation].map(r => {
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val unresolvedRels: Dataset[(String, Relation)] = spark.read.load(s"$workingDirPath/doiBoostPublicationAffiliation_unresolved").as[Relation].map(r => {
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if (r.getSource.startsWith("unresolved"))
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(r.getSource, r)
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else if (r.getTarget.startsWith("unresolved"))
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(r.getTarget,r)
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else
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(r.getTarget, r)
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else
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("resolved", r)
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})(Encoders.tuple(Encoders.STRING, mapEncoderRel))
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val openaireOrganization:Dataset[(String,String)] = spark.read.text(openaireOrganizationPath).as[String].flatMap(s => extractIdGRID(s)).groupByKey(_._2).reduceGroups((x,y) => if (x != null) x else y ).map(_._2)
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val openaireOrganization: Dataset[(String, String)] = spark.read.text(openaireOrganizationPath).as[String].flatMap(s => extractIdGRID(s)).groupByKey(_._2).reduceGroups((x, y) => if (x != null) x else y).map(_._2)
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unresolvedRels.joinWith(openaireOrganization,unresolvedRels("_1").equalTo(openaireOrganization("_2")))
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unresolvedRels.joinWith(openaireOrganization, unresolvedRels("_1").equalTo(openaireOrganization("_2")))
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.map { x =>
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val currentRels = x._1._2
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val currentOrgs = x._2
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if (currentOrgs!= null)
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if(currentRels.getSource.startsWith("unresolved"))
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if (currentOrgs != null)
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if (currentRels.getSource.startsWith("unresolved"))
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currentRels.setSource(currentOrgs._1)
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else
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currentRels.setTarget(currentOrgs._1)
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currentRels
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}.filter(r=> !r.getSource.startsWith("unresolved") && !r.getTarget.startsWith("unresolved")).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublicationAffiliation")
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currentRels
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}.filter(r => !r.getSource.startsWith("unresolved") && !r.getTarget.startsWith("unresolved")).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublicationAffiliation")
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magPubs.joinWith(a,magPubs("_1").equalTo(a("PaperId"))).map( item => {
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magPubs.joinWith(a, magPubs("_1").equalTo(a("PaperId"))).map(item => {
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val affiliation = item._2
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if (affiliation.GridId.isEmpty) {
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val o = new Organization
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@ -241,7 +235,7 @@ object SparkGenerateDoiBoost {
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}
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else
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null
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}).filter(o=> o!=null).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostOrganization")
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}
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}).filter(o => o != null).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostOrganization")
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}
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}
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@ -4,20 +4,19 @@ import eu.dnetlib.dhp.schema.common.ModelConstants
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import eu.dnetlib.dhp.schema.oaf._
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import eu.dnetlib.dhp.schema.oaf.utils.{IdentifierFactory, OafMapperUtils}
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import eu.dnetlib.dhp.utils.DHPUtils
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import eu.dnetlib.doiboost.DoiBoostMappingUtil.{decideAccessRight, _}
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import eu.dnetlib.doiboost.DoiBoostMappingUtil
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import eu.dnetlib.doiboost.DoiBoostMappingUtil._
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import org.apache.commons.lang.StringUtils
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import org.json4s
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import org.json4s.DefaultFormats
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import org.json4s.JsonAST.{JValue, _}
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import org.json4s.JsonAST._
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import org.json4s.jackson.JsonMethods._
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import org.slf4j.{Logger, LoggerFactory}
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import java.util
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import scala.collection.JavaConverters._
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import scala.collection.mutable
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import scala.util.matching.Regex
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import java.util
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import eu.dnetlib.doiboost.DoiBoostMappingUtil
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case class CrossrefDT(doi: String, json:String, timestamp: Long) {}
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@ -6,7 +6,7 @@ import org.apache.commons.io.IOUtils
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import org.apache.hadoop.io.{IntWritable, Text}
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import org.apache.spark.SparkConf
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import org.apache.spark.sql.expressions.Aggregator
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import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
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import org.apache.spark.sql.{Dataset, Encoder, SaveMode, SparkSession}
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import org.json4s
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import org.json4s.DefaultFormats
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import org.json4s.jackson.JsonMethods.parse
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@ -17,12 +17,12 @@ object CrossrefDataset {
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val logger: Logger = LoggerFactory.getLogger(SparkMapDumpIntoOAF.getClass)
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def to_item(input:String):CrossrefDT = {
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def to_item(input: String): CrossrefDT = {
|
||||
|
||||
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
|
||||
lazy val json: json4s.JValue = parse(input)
|
||||
val ts:Long = (json \ "indexed" \ "timestamp").extract[Long]
|
||||
val doi:String = DoiBoostMappingUtil.normalizeDoi((json \ "DOI").extract[String])
|
||||
val ts: Long = (json \ "indexed" \ "timestamp").extract[Long]
|
||||
val doi: String = DoiBoostMappingUtil.normalizeDoi((json \ "DOI").extract[String])
|
||||
CrossrefDT(doi, input, ts)
|
||||
|
||||
}
|
||||
|
|
@ -30,7 +30,6 @@ object CrossrefDataset {
|
|||
def main(args: Array[String]): Unit = {
|
||||
|
||||
|
||||
|
||||
val conf: SparkConf = new SparkConf()
|
||||
val parser = new ArgumentApplicationParser(IOUtils.toString(CrossrefDataset.getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/crossref_to_dataset_params.json")))
|
||||
parser.parseArgument(args)
|
||||
|
|
@ -54,7 +53,7 @@ object CrossrefDataset {
|
|||
return b
|
||||
|
||||
|
||||
if(a.timestamp >b.timestamp) {
|
||||
if (a.timestamp > b.timestamp) {
|
||||
return a
|
||||
}
|
||||
b
|
||||
|
|
@ -66,7 +65,7 @@ object CrossrefDataset {
|
|||
if (a == null)
|
||||
return b
|
||||
|
||||
if(a.timestamp >b.timestamp) {
|
||||
if (a.timestamp > b.timestamp) {
|
||||
return a
|
||||
}
|
||||
b
|
||||
|
|
@ -79,20 +78,20 @@ object CrossrefDataset {
|
|||
override def finish(reduction: CrossrefDT): CrossrefDT = reduction
|
||||
}
|
||||
|
||||
val workingPath:String = parser.get("workingPath")
|
||||
val workingPath: String = parser.get("workingPath")
|
||||
|
||||
|
||||
val main_ds:Dataset[CrossrefDT] = spark.read.load(s"$workingPath/crossref_ds").as[CrossrefDT]
|
||||
val main_ds: Dataset[CrossrefDT] = spark.read.load(s"$workingPath/crossref_ds").as[CrossrefDT]
|
||||
|
||||
|
||||
val update =
|
||||
spark.createDataset(spark.sparkContext.sequenceFile(s"$workingPath/index_update", classOf[IntWritable], classOf[Text])
|
||||
.map(i =>CrossrefImporter.decompressBlob(i._2.toString))
|
||||
.map(i =>to_item(i)))
|
||||
spark.createDataset(spark.sparkContext.sequenceFile(s"$workingPath/index_update", classOf[IntWritable], classOf[Text])
|
||||
.map(i => CrossrefImporter.decompressBlob(i._2.toString))
|
||||
.map(i => to_item(i)))
|
||||
|
||||
main_ds.union(update).groupByKey(_.doi)
|
||||
.agg(crossrefAggregator.toColumn)
|
||||
.map(s=>s._2)
|
||||
.map(s => s._2)
|
||||
.write.mode(SaveMode.Overwrite).save(s"$workingPath/crossref_ds_updated")
|
||||
|
||||
}
|
||||
|
|
@ -2,17 +2,12 @@ package eu.dnetlib.doiboost.crossref
|
|||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil
|
||||
import eu.dnetlib.doiboost.crossref.CrossrefDataset.to_item
|
||||
import eu.dnetlib.doiboost.crossref.UnpackCrtossrefEntries.getClass
|
||||
import org.apache.hadoop.io.{IntWritable, Text}
|
||||
import org.apache.hadoop.io.compress.GzipCodec
|
||||
import org.apache.spark.rdd.RDD
|
||||
import org.apache.spark.{SparkConf, SparkContext}
|
||||
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.apache.spark.{SparkConf, SparkContext}
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.JsonAST.JArray
|
||||
import org.json4s.jackson.JsonMethods.{compact, parse, render}
|
||||
import org.json4s.jackson.JsonMethods.parse
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import scala.io.Source
|
||||
|
|
@ -24,11 +19,10 @@ object GenerateCrossrefDataset {
|
|||
implicit val mrEncoder: Encoder[CrossrefDT] = Encoders.kryo[CrossrefDT]
|
||||
|
||||
|
||||
|
||||
def crossrefElement(meta: String): CrossrefDT = {
|
||||
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
|
||||
lazy val json: json4s.JValue = parse(meta)
|
||||
val doi:String = DoiBoostMappingUtil.normalizeDoi((json \ "DOI").extract[String])
|
||||
val doi: String = DoiBoostMappingUtil.normalizeDoi((json \ "DOI").extract[String])
|
||||
val timestamp: Long = (json \ "indexed" \ "timestamp").extract[Long]
|
||||
CrossrefDT(doi, meta, timestamp)
|
||||
|
||||
|
|
@ -51,14 +45,14 @@ object GenerateCrossrefDataset {
|
|||
import spark.implicits._
|
||||
|
||||
|
||||
val tmp : RDD[String] = sc.textFile(sourcePath,6000)
|
||||
val tmp: RDD[String] = sc.textFile(sourcePath, 6000)
|
||||
|
||||
spark.createDataset(tmp)
|
||||
.map(entry => crossrefElement(entry))
|
||||
.write.mode(SaveMode.Overwrite).save(targetPath)
|
||||
// .map(meta => crossrefElement(meta))
|
||||
// .toDS.as[CrossrefDT]
|
||||
// .write.mode(SaveMode.Overwrite).save(targetPath)
|
||||
// .map(meta => crossrefElement(meta))
|
||||
// .toDS.as[CrossrefDT]
|
||||
// .write.mode(SaveMode.Overwrite).save(targetPath)
|
||||
|
||||
}
|
||||
|
||||
|
|
@ -4,10 +4,8 @@ import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
|||
import eu.dnetlib.dhp.schema.oaf
|
||||
import eu.dnetlib.dhp.schema.oaf.{Oaf, Publication, Relation, Dataset => OafDataset}
|
||||
import org.apache.commons.io.IOUtils
|
||||
|
||||
import org.apache.spark.SparkConf
|
||||
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.apache.spark.sql._
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
|
||||
|
|
@ -2,8 +2,8 @@ package eu.dnetlib.doiboost.crossref
|
|||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import org.apache.hadoop.io.compress.GzipCodec
|
||||
import org.apache.spark.sql.SparkSession
|
||||
import org.apache.spark.{SparkConf, SparkContext}
|
||||
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.JsonAST.JArray
|
||||
|
|
@ -17,9 +17,7 @@ object UnpackCrtossrefEntries {
|
|||
val log: Logger = LoggerFactory.getLogger(UnpackCrtossrefEntries.getClass)
|
||||
|
||||
|
||||
|
||||
|
||||
def extractDump(input:String):List[String] = {
|
||||
def extractDump(input: String): List[String] = {
|
||||
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
|
||||
lazy val json: json4s.JValue = parse(input)
|
||||
|
||||
|
|
@ -30,7 +28,6 @@ object UnpackCrtossrefEntries {
|
|||
}
|
||||
|
||||
|
||||
|
||||
def main(args: Array[String]): Unit = {
|
||||
val conf = new SparkConf
|
||||
val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/crossref_dump_reader/generate_dataset_params.json")).mkString)
|
||||
|
|
@ -45,7 +42,7 @@ object UnpackCrtossrefEntries {
|
|||
.getOrCreate()
|
||||
val sc: SparkContext = spark.sparkContext
|
||||
|
||||
sc.wholeTextFiles(sourcePath,6000).flatMap(d =>extractDump(d._2))
|
||||
sc.wholeTextFiles(sourcePath, 6000).flatMap(d => extractDump(d._2))
|
||||
.saveAsTextFile(targetPath, classOf[GzipCodec])
|
||||
|
||||
|
||||
|
|
@ -5,10 +5,10 @@ import eu.dnetlib.dhp.schema.common.ModelConstants
|
|||
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory
|
||||
import eu.dnetlib.dhp.schema.oaf.{Instance, Journal, Publication, StructuredProperty}
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil._
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.jackson.JsonMethods.parse
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil._
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
import scala.collection.mutable
|
||||
|
|
@ -3,8 +3,8 @@ package eu.dnetlib.doiboost.mag
|
|||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{SaveMode, SparkSession}
|
||||
import org.apache.spark.sql.types._
|
||||
import org.apache.spark.sql.{SaveMode, SparkSession}
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
object SparkImportMagIntoDataset {
|
||||
|
|
@ -24,13 +24,13 @@ object SparkImportMagIntoDataset {
|
|||
"Affiliations" -> Tuple2("mag/Affiliations.txt", Seq("AffiliationId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "GridId:string", "OfficialPage:string", "WikiPage:string", "PaperCount:long", "PaperFamilyCount:long", "CitationCount:long", "Iso3166Code:string", "Latitude:float?", "Longitude:float?", "CreatedDate:DateTime")),
|
||||
"AuthorExtendedAttributes" -> Tuple2("mag/AuthorExtendedAttributes.txt", Seq("AuthorId:long", "AttributeType:int", "AttributeValue:string")),
|
||||
"Authors" -> Tuple2("mag/Authors.txt", Seq("AuthorId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "LastKnownAffiliationId:long?", "PaperCount:long", "PaperFamilyCount:long", "CitationCount:long", "CreatedDate:DateTime")),
|
||||
"ConferenceInstances" -> Tuple2("mag/ConferenceInstances.txt", Seq("ConferenceInstanceId:long", "NormalizedName:string", "DisplayName:string", "ConferenceSeriesId:long", "Location:string", "OfficialUrl:string", "StartDate:DateTime?", "EndDate:DateTime?", "AbstractRegistrationDate:DateTime?", "SubmissionDeadlineDate:DateTime?", "NotificationDueDate:DateTime?", "FinalVersionDueDate:DateTime?", "PaperCount:long", "PaperFamilyCount:long" ,"CitationCount:long", "Latitude:float?", "Longitude:float?", "CreatedDate:DateTime")),
|
||||
"ConferenceInstances" -> Tuple2("mag/ConferenceInstances.txt", Seq("ConferenceInstanceId:long", "NormalizedName:string", "DisplayName:string", "ConferenceSeriesId:long", "Location:string", "OfficialUrl:string", "StartDate:DateTime?", "EndDate:DateTime?", "AbstractRegistrationDate:DateTime?", "SubmissionDeadlineDate:DateTime?", "NotificationDueDate:DateTime?", "FinalVersionDueDate:DateTime?", "PaperCount:long", "PaperFamilyCount:long", "CitationCount:long", "Latitude:float?", "Longitude:float?", "CreatedDate:DateTime")),
|
||||
"ConferenceSeries" -> Tuple2("mag/ConferenceSeries.txt", Seq("ConferenceSeriesId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "PaperCount:long", "PaperFamilyCount:long", "CitationCount:long", "CreatedDate:DateTime")),
|
||||
"EntityRelatedEntities" -> Tuple2("advanced/EntityRelatedEntities.txt", Seq("EntityId:long", "EntityType:string", "RelatedEntityId:long", "RelatedEntityType:string", "RelatedType:int", "Score:float")),
|
||||
"FieldOfStudyChildren" -> Tuple2("advanced/FieldOfStudyChildren.txt", Seq("FieldOfStudyId:long", "ChildFieldOfStudyId:long")),
|
||||
"FieldOfStudyExtendedAttributes" -> Tuple2("advanced/FieldOfStudyExtendedAttributes.txt", Seq("FieldOfStudyId:long", "AttributeType:int", "AttributeValue:string")),
|
||||
"FieldsOfStudy" -> Tuple2("advanced/FieldsOfStudy.txt", Seq("FieldOfStudyId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "MainType:string", "Level:int", "PaperCount:long", "PaperFamilyCount:long", "CitationCount:long", "CreatedDate:DateTime")),
|
||||
"Journals" -> Tuple2("mag/Journals.txt", Seq("JournalId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "Issn:string", "Publisher:string", "Webpage:string", "PaperCount:long", "PaperFamilyCount:long" ,"CitationCount:long", "CreatedDate:DateTime")),
|
||||
"Journals" -> Tuple2("mag/Journals.txt", Seq("JournalId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "Issn:string", "Publisher:string", "Webpage:string", "PaperCount:long", "PaperFamilyCount:long", "CitationCount:long", "CreatedDate:DateTime")),
|
||||
"PaperAbstractsInvertedIndex" -> Tuple2("nlp/PaperAbstractsInvertedIndex.txt.*", Seq("PaperId:long", "IndexedAbstract:string")),
|
||||
"PaperAuthorAffiliations" -> Tuple2("mag/PaperAuthorAffiliations.txt", Seq("PaperId:long", "AuthorId:long", "AffiliationId:long?", "AuthorSequenceNumber:uint", "OriginalAuthor:string", "OriginalAffiliation:string")),
|
||||
"PaperCitationContexts" -> Tuple2("nlp/PaperCitationContexts.txt", Seq("PaperId:long", "PaperReferenceId:long", "CitationContext:string")),
|
||||
|
|
@ -75,7 +75,6 @@ object SparkImportMagIntoDataset {
|
|||
.master(parser.get("master")).getOrCreate()
|
||||
|
||||
|
||||
|
||||
stream.foreach { case (k, v) =>
|
||||
val s: StructType = getSchema(k)
|
||||
val df = spark.read
|
||||
|
|
@ -5,22 +5,19 @@ import eu.dnetlib.dhp.schema.oaf.Publication
|
|||
import eu.dnetlib.doiboost.DoiBoostMappingUtil
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.rdd.RDD
|
||||
import org.apache.spark.sql.functions._
|
||||
import org.apache.spark.sql.functions.{col, collect_list, struct}
|
||||
import org.apache.spark.sql._
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
|
||||
object SparkProcessMAG {
|
||||
|
||||
def getDistinctResults (d:Dataset[MagPapers]):Dataset[MagPapers]={
|
||||
def getDistinctResults(d: Dataset[MagPapers]): Dataset[MagPapers] = {
|
||||
d.where(col("Doi").isNotNull)
|
||||
.groupByKey(mp => DoiBoostMappingUtil.normalizeDoi(mp.Doi))(Encoders.STRING)
|
||||
.reduceGroups((p1:MagPapers,p2:MagPapers) => ConversionUtil.choiceLatestMagArtitcle(p1,p2))
|
||||
.reduceGroups((p1: MagPapers, p2: MagPapers) => ConversionUtil.choiceLatestMagArtitcle(p1, p2))
|
||||
.map(_._2)(Encoders.product[MagPapers])
|
||||
.map(mp => {
|
||||
new MagPapers(mp.PaperId, mp.Rank, DoiBoostMappingUtil.normalizeDoi(mp.Doi),
|
||||
MagPapers(mp.PaperId, mp.Rank, DoiBoostMappingUtil.normalizeDoi(mp.Doi),
|
||||
mp.DocType, mp.PaperTitle, mp.OriginalTitle,
|
||||
mp.BookTitle, mp.Year, mp.Date, mp.Publisher: String,
|
||||
mp.JournalId, mp.ConferenceSeriesId, mp.ConferenceInstanceId,
|
||||
|
|
@ -98,13 +95,13 @@ object SparkProcessMAG {
|
|||
|
||||
var magPubs: Dataset[(String, Publication)] =
|
||||
spark.read.load(s"$workingPath/merge_step_2").as[Publication]
|
||||
.map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p)).as[(String, Publication)]
|
||||
.map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p)).as[(String, Publication)]
|
||||
|
||||
|
||||
val conference = spark.read.load(s"$sourcePath/ConferenceInstances")
|
||||
.select($"ConferenceInstanceId".as("ci"), $"DisplayName", $"Location", $"StartDate",$"EndDate" )
|
||||
.select($"ConferenceInstanceId".as("ci"), $"DisplayName", $"Location", $"StartDate", $"EndDate")
|
||||
val conferenceInstance = conference.joinWith(papers, papers("ConferenceInstanceId").equalTo(conference("ci")))
|
||||
.select($"_1.ci", $"_1.DisplayName", $"_1.Location", $"_1.StartDate",$"_1.EndDate", $"_2.PaperId").as[MagConferenceInstance]
|
||||
.select($"_1.ci", $"_1.DisplayName", $"_1.Location", $"_1.StartDate", $"_1.EndDate", $"_2.PaperId").as[MagConferenceInstance]
|
||||
|
||||
|
||||
magPubs.joinWith(conferenceInstance, col("_1").equalTo(conferenceInstance("PaperId")), "left")
|
||||
|
|
@ -122,7 +119,7 @@ object SparkProcessMAG {
|
|||
|
||||
magPubs.joinWith(paperAbstract, col("_1").equalTo(paperAbstract("PaperId")), "left")
|
||||
.map(item => ConversionUtil.updatePubsWithDescription(item)
|
||||
).write.mode(SaveMode.Overwrite).save(s"$workingPath/merge_step_4")
|
||||
).write.mode(SaveMode.Overwrite).save(s"$workingPath/merge_step_4")
|
||||
|
||||
|
||||
logger.info("Phase 7) Enrich Publication with FieldOfStudy")
|
||||
|
|
@ -148,11 +145,10 @@ object SparkProcessMAG {
|
|||
spark.read.load(s"$workingPath/mag_publication").as[Publication]
|
||||
.filter(p => p.getId != null)
|
||||
.groupByKey(p => p.getId)
|
||||
.reduceGroups((a:Publication, b:Publication) => ConversionUtil.mergePublication(a,b))
|
||||
.reduceGroups((a: Publication, b: Publication) => ConversionUtil.mergePublication(a, b))
|
||||
.map(_._2)
|
||||
.write.mode(SaveMode.Overwrite).save(s"$targetPath/magPublication")
|
||||
|
||||
|
||||
|
||||
}
|
||||
}
|
||||
|
|
@ -4,17 +4,16 @@ import com.fasterxml.jackson.databind.ObjectMapper
|
|||
import eu.dnetlib.dhp.schema.common.ModelConstants
|
||||
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory
|
||||
import eu.dnetlib.dhp.schema.oaf.{Author, DataInfo, Publication}
|
||||
import eu.dnetlib.dhp.schema.orcid.{AuthorData, OrcidDOI}
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil.{createSP, generateDataInfo}
|
||||
import org.apache.commons.lang.StringUtils
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.JsonAST._
|
||||
import org.json4s.jackson.JsonMethods._
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
|
||||
|
||||
case class ORCIDItem(doi:String, authors:List[OrcidAuthor]){}
|
||||
|
|
@ -11,10 +11,10 @@ object SparkConvertORCIDToOAF {
|
|||
val logger: Logger = LoggerFactory.getLogger(SparkConvertORCIDToOAF.getClass)
|
||||
|
||||
|
||||
def run(spark:SparkSession, workingPath:String, targetPath:String) :Unit = {
|
||||
def run(spark: SparkSession, workingPath: String, targetPath: String): Unit = {
|
||||
implicit val mapEncoderPubs: Encoder[Publication] = Encoders.kryo[Publication]
|
||||
import spark.implicits._
|
||||
val dataset: Dataset[ORCIDItem] =spark.read.load(s"$workingPath/orcidworksWithAuthor").as[ORCIDItem]
|
||||
val dataset: Dataset[ORCIDItem] = spark.read.load(s"$workingPath/orcidworksWithAuthor").as[ORCIDItem]
|
||||
|
||||
logger.info("Converting ORCID to OAF")
|
||||
dataset.map(o => ORCIDToOAF.convertTOOAF(o)).write.mode(SaveMode.Overwrite).save(targetPath)
|
||||
|
|
@ -35,8 +35,8 @@ object SparkConvertORCIDToOAF {
|
|||
val workingPath = parser.get("workingPath")
|
||||
val targetPath = parser.get("targetPath")
|
||||
|
||||
run(spark,workingPath, targetPath)
|
||||
run(spark, workingPath, targetPath)
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
|
@ -1,48 +1,45 @@
|
|||
package eu.dnetlib.doiboost.orcid
|
||||
|
||||
import com.fasterxml.jackson.databind.{DeserializationFeature, ObjectMapper}
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.oa.merge.AuthorMerger
|
||||
import eu.dnetlib.dhp.schema.oaf.Publication
|
||||
import eu.dnetlib.dhp.schema.orcid.OrcidDOI
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.rdd.RDD
|
||||
import org.apache.spark.sql.functions._
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.apache.spark.sql.functions.{col, collect_list}
|
||||
import org.apache.spark.sql._
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
object SparkPreprocessORCID {
|
||||
val logger: Logger = LoggerFactory.getLogger(SparkConvertORCIDToOAF.getClass)
|
||||
|
||||
def fixORCIDItem(item :ORCIDItem):ORCIDItem = {
|
||||
ORCIDItem(item.doi, item.authors.groupBy(_.oid).map(_._2.head).toList)
|
||||
def fixORCIDItem(item: ORCIDItem): ORCIDItem = {
|
||||
ORCIDItem(item.doi, item.authors.groupBy(_.oid).map(_._2.head).toList)
|
||||
|
||||
}
|
||||
|
||||
|
||||
def run(spark:SparkSession,sourcePath:String,workingPath:String):Unit = {
|
||||
def run(spark: SparkSession, sourcePath: String, workingPath: String): Unit = {
|
||||
import spark.implicits._
|
||||
implicit val mapEncoderPubs: Encoder[Publication] = Encoders.kryo[Publication]
|
||||
|
||||
val inputRDD:RDD[OrcidAuthor] = spark.sparkContext.textFile(s"$sourcePath/authors").map(s => ORCIDToOAF.convertORCIDAuthor(s)).filter(s => s!= null).filter(s => ORCIDToOAF.authorValid(s))
|
||||
val inputRDD: RDD[OrcidAuthor] = spark.sparkContext.textFile(s"$sourcePath/authors").map(s => ORCIDToOAF.convertORCIDAuthor(s)).filter(s => s != null).filter(s => ORCIDToOAF.authorValid(s))
|
||||
|
||||
spark.createDataset(inputRDD).as[OrcidAuthor].write.mode(SaveMode.Overwrite).save(s"$workingPath/author")
|
||||
|
||||
val res = spark.sparkContext.textFile(s"$sourcePath/works").flatMap(s => ORCIDToOAF.extractDOIWorks(s)).filter(s => s!= null)
|
||||
val res = spark.sparkContext.textFile(s"$sourcePath/works").flatMap(s => ORCIDToOAF.extractDOIWorks(s)).filter(s => s != null)
|
||||
|
||||
spark.createDataset(res).as[OrcidWork].write.mode(SaveMode.Overwrite).save(s"$workingPath/works")
|
||||
|
||||
val authors :Dataset[OrcidAuthor] = spark.read.load(s"$workingPath/author").as[OrcidAuthor]
|
||||
val authors: Dataset[OrcidAuthor] = spark.read.load(s"$workingPath/author").as[OrcidAuthor]
|
||||
|
||||
val works :Dataset[OrcidWork] = spark.read.load(s"$workingPath/works").as[OrcidWork]
|
||||
val works: Dataset[OrcidWork] = spark.read.load(s"$workingPath/works").as[OrcidWork]
|
||||
|
||||
works.joinWith(authors, authors("oid").equalTo(works("oid")))
|
||||
.map(i =>{
|
||||
.map(i => {
|
||||
val doi = i._1.doi
|
||||
val author = i._2
|
||||
(doi, author)
|
||||
}).groupBy(col("_1").alias("doi"))
|
||||
(doi, author)
|
||||
}).groupBy(col("_1").alias("doi"))
|
||||
.agg(collect_list(col("_2")).alias("authors")).as[ORCIDItem]
|
||||
.map(s => fixORCIDItem(s))
|
||||
.write.mode(SaveMode.Overwrite).save(s"$workingPath/orcidworksWithAuthor")
|
||||
|
|
@ -67,4 +64,4 @@ object SparkPreprocessORCID {
|
|||
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
|
@ -1,16 +1,14 @@
|
|||
package eu.dnetlib.doiboost.uw
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
|
||||
import eu.dnetlib.dhp.schema.oaf.Publication
|
||||
import eu.dnetlib.doiboost.crossref.SparkMapDumpIntoOAF
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.rdd.RDD
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.apache.spark.sql._
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
|
||||
object SparkMapUnpayWallToOAF {
|
||||
|
||||
def main(args: Array[String]): Unit = {
|
||||
|
|
@ -32,11 +30,11 @@ object SparkMapUnpayWallToOAF {
|
|||
|
||||
val sourcePath = parser.get("sourcePath")
|
||||
val targetPath = parser.get("targetPath")
|
||||
val inputRDD:RDD[String] = spark.sparkContext.textFile(s"$sourcePath")
|
||||
val inputRDD: RDD[String] = spark.sparkContext.textFile(s"$sourcePath")
|
||||
|
||||
logger.info("Converting UnpayWall to OAF")
|
||||
|
||||
val d:Dataset[Publication] = spark.createDataset(inputRDD.map(UnpayWallToOAF.convertToOAF).filter(p=>p!=null)).as[Publication]
|
||||
val d: Dataset[Publication] = spark.createDataset(inputRDD.map(UnpayWallToOAF.convertToOAF).filter(p => p != null)).as[Publication]
|
||||
d.write.mode(SaveMode.Overwrite).save(targetPath)
|
||||
}
|
||||
|
||||
|
|
@ -4,14 +4,13 @@ import eu.dnetlib.dhp.schema.common.ModelConstants
|
|||
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory
|
||||
import eu.dnetlib.dhp.schema.oaf.{AccessRight, Instance, OpenAccessRoute, Publication}
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil._
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.jackson.JsonMethods.parse
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil._
|
||||
import eu.dnetlib.doiboost.uw.UnpayWallToOAF.get_unpaywall_color
|
||||
|
||||
|
||||
|
||||
|
|
@ -1,70 +0,0 @@
|
|||
package eu.dnetlib.dhp.doiboost
|
||||
|
||||
import eu.dnetlib.dhp.schema.oaf.{Publication, Dataset => OafDataset}
|
||||
import eu.dnetlib.doiboost.{DoiBoostMappingUtil, HostedByItemType}
|
||||
import eu.dnetlib.doiboost.SparkGenerateDoiBoost.getClass
|
||||
import eu.dnetlib.doiboost.mag.ConversionUtil
|
||||
import eu.dnetlib.doiboost.orcid.ORCIDElement
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.rdd.RDD
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.codehaus.jackson.map.{ObjectMapper, SerializationConfig}
|
||||
import org.junit.jupiter.api.Test
|
||||
|
||||
import scala.io.Source
|
||||
|
||||
class DoiBoostHostedByMapTest {
|
||||
|
||||
|
||||
|
||||
// @Test
|
||||
// def testMerge():Unit = {
|
||||
// val conf: SparkConf = new SparkConf()
|
||||
// val spark: SparkSession =
|
||||
// SparkSession
|
||||
// .builder()
|
||||
// .config(conf)
|
||||
// .appName(getClass.getSimpleName)
|
||||
// .master("local[*]").getOrCreate()
|
||||
//
|
||||
//
|
||||
//
|
||||
// implicit val mapEncoderPub: Encoder[Publication] = Encoders.kryo[Publication]
|
||||
// implicit val mapEncoderDataset: Encoder[OafDataset] = Encoders.kryo[OafDataset]
|
||||
// implicit val tupleForJoinEncoder: Encoder[(String, Publication)] = Encoders.tuple(Encoders.STRING, mapEncoderPub)
|
||||
//
|
||||
//
|
||||
// import spark.implicits._
|
||||
// val dataset:RDD[String]= spark.sparkContext.textFile("/home/sandro/Downloads/hbMap.gz")
|
||||
//
|
||||
//
|
||||
// val hbMap:Dataset[(String, HostedByItemType)] =spark.createDataset(dataset.map(DoiBoostMappingUtil.toHostedByItem))
|
||||
//
|
||||
//
|
||||
// hbMap.show()
|
||||
//
|
||||
//
|
||||
//
|
||||
//
|
||||
//
|
||||
//
|
||||
//
|
||||
//
|
||||
//
|
||||
//
|
||||
// }
|
||||
|
||||
|
||||
@Test
|
||||
def idDSGeneration():Unit = {
|
||||
val s ="doajarticles::0066-782X"
|
||||
|
||||
|
||||
|
||||
println(DoiBoostMappingUtil.generateDSId(s))
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,20 @@
|
|||
package eu.dnetlib.dhp.doiboost
|
||||
|
||||
import eu.dnetlib.doiboost.DoiBoostMappingUtil
|
||||
import org.junit.jupiter.api.Test
|
||||
|
||||
class DoiBoostHostedByMapTest {
|
||||
|
||||
@Test
|
||||
def idDSGeneration():Unit = {
|
||||
val s ="doajarticles::0066-782X"
|
||||
|
||||
|
||||
|
||||
println(DoiBoostMappingUtil.generateDSId(s))
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
|
@ -1,7 +1,8 @@
|
|||
package eu.dnetlib.doiboost.crossref
|
||||
package eu.dnetlib.dhp.doiboost.crossref
|
||||
|
||||
import eu.dnetlib.dhp.schema.oaf._
|
||||
import eu.dnetlib.dhp.utils.DHPUtils
|
||||
import eu.dnetlib.doiboost.crossref.Crossref2Oaf
|
||||
import org.codehaus.jackson.map.{ObjectMapper, SerializationConfig}
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
import org.junit.jupiter.api.Test
|
||||
|
|
@ -21,9 +22,9 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testFunderRelationshipsMapping(): Unit = {
|
||||
val template = Source.fromInputStream(getClass.getResourceAsStream("article_funder_template.json")).mkString
|
||||
val funder_doi = Source.fromInputStream(getClass.getResourceAsStream("funder_doi")).mkString
|
||||
val funder_name = Source.fromInputStream(getClass.getResourceAsStream("funder_doi")).mkString
|
||||
val template = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/article_funder_template.json")).mkString
|
||||
val funder_doi = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/funder_doi")).mkString
|
||||
val funder_name = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/funder_doi")).mkString
|
||||
|
||||
|
||||
for (line <- funder_doi.lines) {
|
||||
|
|
@ -72,7 +73,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testOrcidID() :Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("orcid_data.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/orcid_data.json")).mkString
|
||||
|
||||
|
||||
assertNotNull(json)
|
||||
|
|
@ -93,7 +94,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testEmptyTitle() :Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("empty_title.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/empty_title.json")).mkString
|
||||
|
||||
|
||||
assertNotNull(json)
|
||||
|
|
@ -115,7 +116,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testPeerReviewed(): Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("prwTest.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/prwTest.json")).mkString
|
||||
mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
|
||||
|
||||
assertNotNull(json)
|
||||
|
|
@ -156,7 +157,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testJournalRelation(): Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("awardTest.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/awardTest.json")).mkString
|
||||
assertNotNull(json)
|
||||
|
||||
assertFalse(json.isEmpty)
|
||||
|
|
@ -177,7 +178,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testConvertBookFromCrossRef2Oaf(): Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("book.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/book.json")).mkString
|
||||
assertNotNull(json)
|
||||
|
||||
assertFalse(json.isEmpty);
|
||||
|
|
@ -233,7 +234,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testConvertPreprintFromCrossRef2Oaf(): Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("preprint.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/preprint.json")).mkString
|
||||
assertNotNull(json)
|
||||
|
||||
assertFalse(json.isEmpty);
|
||||
|
|
@ -291,7 +292,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testConvertDatasetFromCrossRef2Oaf(): Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("dataset.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/dataset.json")).mkString
|
||||
assertNotNull(json)
|
||||
|
||||
assertFalse(json.isEmpty);
|
||||
|
|
@ -332,7 +333,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testConvertArticleFromCrossRef2Oaf(): Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("article.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/article.json")).mkString
|
||||
assertNotNull(json)
|
||||
|
||||
assertFalse(json.isEmpty);
|
||||
|
|
@ -400,7 +401,7 @@ class CrossrefMappingTest {
|
|||
@Test
|
||||
def testSetDateOfAcceptanceCrossRef2Oaf(): Unit = {
|
||||
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("dump_file.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/dump_file.json")).mkString
|
||||
assertNotNull(json)
|
||||
|
||||
assertFalse(json.isEmpty);
|
||||
|
|
@ -415,55 +416,12 @@ class CrossrefMappingTest {
|
|||
assert(items.size == 1)
|
||||
val result: Result = items.head.asInstanceOf[Publication]
|
||||
assertNotNull(result)
|
||||
|
||||
logger.info(mapper.writeValueAsString(result));
|
||||
|
||||
// assertNotNull(result.getDataInfo, "Datainfo test not null Failed");
|
||||
// assertNotNull(
|
||||
// result.getDataInfo.getProvenanceaction,
|
||||
// "DataInfo/Provenance test not null Failed");
|
||||
// assertFalse(
|
||||
// result.getDataInfo.getProvenanceaction.getClassid.isEmpty,
|
||||
// "DataInfo/Provenance/classId test not null Failed");
|
||||
// assertFalse(
|
||||
// result.getDataInfo.getProvenanceaction.getClassname.isEmpty,
|
||||
// "DataInfo/Provenance/className test not null Failed");
|
||||
// assertFalse(
|
||||
// result.getDataInfo.getProvenanceaction.getSchemeid.isEmpty,
|
||||
// "DataInfo/Provenance/SchemeId test not null Failed");
|
||||
// assertFalse(
|
||||
// result.getDataInfo.getProvenanceaction.getSchemename.isEmpty,
|
||||
// "DataInfo/Provenance/SchemeName test not null Failed");
|
||||
//
|
||||
// assertNotNull(result.getCollectedfrom, "CollectedFrom test not null Failed");
|
||||
// assertFalse(result.getCollectedfrom.isEmpty);
|
||||
//
|
||||
// val collectedFromList = result.getCollectedfrom.asScala
|
||||
// assert(collectedFromList.exists(c => c.getKey.equalsIgnoreCase("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")), "Wrong collected from assertion")
|
||||
//
|
||||
// assert(collectedFromList.exists(c => c.getValue.equalsIgnoreCase("crossref")), "Wrong collected from assertion")
|
||||
//
|
||||
//
|
||||
// val relevantDates = result.getRelevantdate.asScala
|
||||
//
|
||||
// assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("created")), "Missing relevant date of type created")
|
||||
//
|
||||
// val rels = resultList.filter(p => p.isInstanceOf[Relation]).asInstanceOf[List[Relation]]
|
||||
// assertFalse(rels.isEmpty)
|
||||
// rels.foreach(relation => {
|
||||
// assertNotNull(relation)
|
||||
// assertFalse(relation.getSource.isEmpty)
|
||||
// assertFalse(relation.getTarget.isEmpty)
|
||||
// assertFalse(relation.getRelClass.isEmpty)
|
||||
// assertFalse(relation.getRelType.isEmpty)
|
||||
// assertFalse(relation.getSubRelType.isEmpty)
|
||||
//
|
||||
// })
|
||||
}
|
||||
|
||||
@Test
|
||||
def testNormalizeDOI(): Unit = {
|
||||
val template = Source.fromInputStream(getClass.getResourceAsStream("article_funder_template.json")).mkString
|
||||
val template = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/article_funder_template.json")).mkString
|
||||
val line :String = "\"funder\": [{\"name\": \"Wellcome Trust Masters Fellowship\",\"award\": [\"090633\"]}],"
|
||||
val json = template.replace("%s", line)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
|
|
@ -479,7 +437,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testNormalizeDOI2(): Unit = {
|
||||
val template = Source.fromInputStream(getClass.getResourceAsStream("article.json")).mkString
|
||||
val template = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/article.json")).mkString
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(template)
|
||||
assertTrue(resultList.nonEmpty)
|
||||
|
|
@ -494,7 +452,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testLicenseVorClosed() :Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("publication_license_vor.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/publication_license_vor.json")).mkString
|
||||
|
||||
|
||||
assertNotNull(json)
|
||||
|
|
@ -521,7 +479,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testLicenseOpen() :Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("publication_license_open.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/publication_license_open.json")).mkString
|
||||
|
||||
|
||||
assertNotNull(json)
|
||||
|
|
@ -544,7 +502,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testLicenseEmbargoOpen() :Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("publication_license_embargo_open.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/publication_license_embargo_open.json")).mkString
|
||||
|
||||
|
||||
assertNotNull(json)
|
||||
|
|
@ -567,7 +525,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testLicenseEmbargo() :Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("publication_license_embargo.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/publication_license_embargo.json")).mkString
|
||||
|
||||
|
||||
assertNotNull(json)
|
||||
|
|
@ -591,7 +549,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testLicenseEmbargoDateTime() :Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("publication_license_embargo_datetime.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/publication_license_embargo_datetime.json")).mkString
|
||||
|
||||
|
||||
assertNotNull(json)
|
||||
|
|
@ -614,7 +572,7 @@ class CrossrefMappingTest {
|
|||
|
||||
@Test
|
||||
def testMultipleURLs() :Unit = {
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("multiple_urls.json")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/multiple_urls.json")).mkString
|
||||
|
||||
|
||||
assertNotNull(json)
|
||||
|
|
@ -1,11 +1,12 @@
|
|||
package eu.dnetlib.doiboost.mag
|
||||
package eu.dnetlib.dhp.doiboost.mag
|
||||
|
||||
import eu.dnetlib.doiboost.mag.{ConversionUtil, MagPapers, SparkProcessMAG}
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Dataset, SparkSession}
|
||||
import org.codehaus.jackson.map.ObjectMapper
|
||||
import org.json4s.DefaultFormats
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
import org.junit.jupiter.api.Test
|
||||
import org.json4s.DefaultFormats
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import java.sql.Timestamp
|
||||
|
|
@ -47,7 +48,7 @@ class MAGMappingTest {
|
|||
|
||||
@Test
|
||||
def buildInvertedIndexTest(): Unit = {
|
||||
val json_input = Source.fromInputStream(getClass.getResourceAsStream("invertedIndex.json")).mkString
|
||||
val json_input = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/mag/invertedIndex.json")).mkString
|
||||
val description = ConversionUtil.convertInvertedIndexString(json_input)
|
||||
assertNotNull(description)
|
||||
assertTrue(description.nonEmpty)
|
||||
|
|
@ -71,7 +72,7 @@ class MAGMappingTest {
|
|||
.appName(getClass.getSimpleName)
|
||||
.config(conf)
|
||||
.getOrCreate()
|
||||
val path = getClass.getResource("magPapers.json").getPath
|
||||
val path = getClass.getResource("/eu/dnetlib/doiboost/mag/magPapers.json").getPath
|
||||
|
||||
import org.apache.spark.sql.Encoders
|
||||
val schema = Encoders.product[MagPapers].schema
|
||||
|
|
@ -101,7 +102,7 @@ class MAGMappingTest {
|
|||
.appName(getClass.getSimpleName)
|
||||
.config(conf)
|
||||
.getOrCreate()
|
||||
val path = getClass.getResource("duplicatedMagPapers.json").getPath
|
||||
val path = getClass.getResource("/eu/dnetlib/doiboost/mag/duplicatedMagPapers.json").getPath
|
||||
|
||||
import org.apache.spark.sql.Encoders
|
||||
val schema = Encoders.product[MagPapers].schema
|
||||
|
|
@ -1,7 +1,8 @@
|
|||
package eu.dnetlib.doiboost.orcid
|
||||
package eu.dnetlib.dhp.doiboost.orcid
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.schema.oaf.Publication
|
||||
import eu.dnetlib.doiboost.orcid._
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SparkSession}
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
|
|
@ -10,9 +11,8 @@ import org.junit.jupiter.api.io.TempDir
|
|||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import java.nio.file.Path
|
||||
import scala.io.Source
|
||||
|
||||
import scala.collection.JavaConversions._
|
||||
import scala.io.Source
|
||||
|
||||
class MappingORCIDToOAFTest {
|
||||
val logger: Logger = LoggerFactory.getLogger(ORCIDToOAF.getClass)
|
||||
|
|
@ -20,7 +20,7 @@ class MappingORCIDToOAFTest {
|
|||
|
||||
@Test
|
||||
def testExtractData():Unit ={
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("dataOutput")).mkString
|
||||
val json = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/orcid/dataOutput")).mkString
|
||||
assertNotNull(json)
|
||||
assertFalse(json.isEmpty)
|
||||
json.lines.foreach(s => {
|
||||
|
|
@ -1,13 +1,13 @@
|
|||
package eu.dnetlib.doiboost.uw
|
||||
|
||||
package eu.dnetlib.dhp.doiboost.uw
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.schema.oaf.OpenAccessRoute
|
||||
import eu.dnetlib.doiboost.uw.UnpayWallToOAF
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
import org.junit.jupiter.api.Test
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import scala.io.Source
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
class UnpayWallMappingTest {
|
||||
|
||||
|
|
@ -18,7 +18,7 @@ class UnpayWallMappingTest {
|
|||
@Test
|
||||
def testMappingToOAF():Unit ={
|
||||
|
||||
val Ilist = Source.fromInputStream(getClass.getResourceAsStream("input.json")).mkString
|
||||
val Ilist = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/uw/input.json")).mkString
|
||||
|
||||
var i:Int = 0
|
||||
for (line <-Ilist.lines) {
|
||||
Loading…
Reference in New Issue