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Hosted By Map - refactoring and deletion of not needed methods

This commit is contained in:
Miriam Baglioni 2021-08-04 10:15:43 +02:00
parent 8ba8c77f92
commit 1e952cccf6
1 changed files with 3 additions and 32 deletions
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35
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkPrepareHostedByInfoToApply.scala
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@ -2,7 +2,7 @@ package eu.dnetlib.dhp.oa.graph.hostedbymap
import com.fasterxml.jackson.databind.ObjectMapper
import eu.dnetlib.dhp.application.ArgumentApplicationParser
import eu.dnetlib.dhp.oa.graph.hostedbymap.model.{DatasourceInfo, EntityInfo}
import eu.dnetlib.dhp.oa.graph.hostedbymap.model.EntityInfo
import eu.dnetlib.dhp.schema.oaf.{Journal, Publication}
import org.apache.commons.io.IOUtils
@ -17,8 +17,6 @@ import org.slf4j.{Logger, LoggerFactory}
object SparkPrepareHostedByInfoToApply {
implicit val mapEncoderDSInfo: Encoder[DatasourceInfo] = Encoders.bean(classOf[DatasourceInfo])
implicit val mapEncoderPInfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
def getList(id: String, j: Journal, name: String ) : List[EntityInfo] = {
@ -58,33 +56,6 @@ object SparkPrepareHostedByInfoToApply {
toEntityItem(c.keys.head, c.values.head)
}
def explodeJournalInfo(input: DatasourceInfo): List[EntityInfo] = {
var lst : List[EntityInfo] = List()
if (input.getEissn != null && !input.getEissn.equals("")){
lst = EntityInfo.newInstance(input.getId, input.getEissn, input.getOfficialname, input.getOpenAccess) :: lst
}
if (input.getLissn != null && !input.getLissn.equals("")){
lst = EntityInfo.newInstance(input.getId, input.getLissn, input.getOfficialname, input.getOpenAccess) :: lst
}
if (input.getIssn != null && !input.getIssn.equals("")){
lst = EntityInfo.newInstance(input.getId, input.getIssn, input.getOfficialname, input.getOpenAccess) :: lst
}
lst
}
def joinDsandHBM(left:Dataset[DatasourceInfo], right:Dataset[HostedByItemType]): Dataset[EntityInfo] = {
left.joinWith(right,
left.col("id").equalTo(right.col("id")), "left")
.map(t2 => {
val dsi : DatasourceInfo = t2._1
if(t2._2 != null){
val hbi : HostedByItemType = t2._2
dsi.setOpenAccess(hbi.openAccess)
}
dsi
}).flatMap(explodeJournalInfo)
}
def toEntityItem(journal_id: String , hbi: HostedByItemType): EntityInfo = {
@ -123,7 +94,7 @@ object SparkPrepareHostedByInfoToApply {
val graphPath = parser.get("graphPath")
val outputPath = parser.get("outputPath")
val outputPath = parser.get("preparedInfoPath")
val hostedByMapPath = parser.get("hostedByMapPath")
@ -139,7 +110,7 @@ object SparkPrepareHostedByInfoToApply {
val hostedByInfo:Dataset[EntityInfo] = spark.createDataset(spark.sparkContext.textFile(hostedByMapPath)).map(toEntityInfo)
//STEP2: creare la mappa publication id issn, eissn, lissn esplosa
val resultInfoDataset:Dataset[EntityInfo] = prepareResultInfo(spark, "$graphPath/publication")
val resultInfoDataset:Dataset[EntityInfo] = prepareResultInfo(spark, graphPath + "/publication")
//STEP3: join resultInfo con hostedByInfo sul journal_id dal result con left
// e riduzione di tutti i result con lo stesso id in una unica entry con aggiunto l'id della datasource