code refactor, created and moved scala code on the correct maven folder under src/main/scala and src/test/scala
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@ -3,7 +3,7 @@ package eu.dnetlib.dhp.actionmanager.scholix
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import com.fasterxml.jackson.databind.ObjectMapper
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import eu.dnetlib.dhp.application.ArgumentApplicationParser
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import eu.dnetlib.dhp.schema.action.AtomicAction
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import eu.dnetlib.dhp.schema.oaf.{Oaf, Dataset => OafDataset,Publication, Software, OtherResearchProduct, Relation}
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import eu.dnetlib.dhp.schema.oaf.{Dataset => OafDataset, Oaf, Publication, Software, OtherResearchProduct, Relation}
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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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@ -3,8 +3,7 @@ package eu.dnetlib.dhp.datacite
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import com.fasterxml.jackson.databind.ObjectMapper
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import eu.dnetlib.dhp.application.ArgumentApplicationParser
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import eu.dnetlib.dhp.collection.CollectionUtils.fixRelations
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import eu.dnetlib.dhp.common.Constants.MDSTORE_DATA_PATH
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import eu.dnetlib.dhp.common.Constants.MDSTORE_SIZE_PATH
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import eu.dnetlib.dhp.common.Constants.{MDSTORE_DATA_PATH, MDSTORE_SIZE_PATH}
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import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
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import eu.dnetlib.dhp.schema.mdstore.{MDStoreVersion, MetadataRecord}
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import eu.dnetlib.dhp.schema.oaf.Oaf
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@ -7,6 +7,7 @@ import org.json4s.DefaultFormats
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import org.json4s.JsonAST.{JField, JObject, JString}
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import org.json4s.jackson.JsonMethods.{compact, parse, render}
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import collection.JavaConverters._
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object BioDBToOAF {
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case class EBILinkItem(id: Long, links: String) {}
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@ -1,9 +1,9 @@
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package eu.dnetlib.dhp.sx.bio
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import eu.dnetlib.dhp.application.ArgumentApplicationParser
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import eu.dnetlib.dhp.schema.oaf.Oaf
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import BioDBToOAF.ScholixResolved
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import eu.dnetlib.dhp.collection.CollectionUtils
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import eu.dnetlib.dhp.schema.oaf.Oaf
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import eu.dnetlib.dhp.sx.bio.BioDBToOAF.ScholixResolved
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import org.apache.commons.io.IOUtils
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import org.apache.spark.SparkConf
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import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
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@ -36,13 +36,13 @@ object SparkTransformBioDatabaseToOAF {
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import spark.implicits._
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database.toUpperCase() match {
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case "UNIPROT" =>
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spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.uniprotToOAF(i))).flatMap(i=> CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath)
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spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.uniprotToOAF(i))).flatMap(i => CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath)
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case "PDB" =>
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spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.pdbTOOaf(i))).flatMap(i=> CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath)
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spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.pdbTOOaf(i))).flatMap(i => CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath)
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case "SCHOLIX" =>
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spark.read.load(dbPath).as[ScholixResolved].map(i => BioDBToOAF.scholixResolvedToOAF(i)).flatMap(i=> CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath)
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spark.read.load(dbPath).as[ScholixResolved].map(i => BioDBToOAF.scholixResolvedToOAF(i)).flatMap(i => CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath)
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case "CROSSREF_LINKS" =>
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spark.createDataset(sc.textFile(dbPath).map(i => BioDBToOAF.crossrefLinksToOaf(i))).flatMap(i=> CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath)
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spark.createDataset(sc.textFile(dbPath).map(i => BioDBToOAF.crossrefLinksToOaf(i))).flatMap(i => CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath)
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}
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}
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@ -3,7 +3,7 @@ package eu.dnetlib.dhp.sx.bio.ebi
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import eu.dnetlib.dhp.application.ArgumentApplicationParser
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import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
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import eu.dnetlib.dhp.schema.oaf.Result
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import eu.dnetlib.dhp.sx.bio.pubmed.{PMArticle, PMAuthor, PMJournal, PMParser, PubMedToOaf}
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import eu.dnetlib.dhp.sx.bio.pubmed._
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import eu.dnetlib.dhp.utils.ISLookupClientFactory
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import org.apache.commons.io.IOUtils
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import org.apache.hadoop.conf.Configuration
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@ -1,9 +1,8 @@
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package eu.dnetlib.dhp.sx.bio.ebi
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import eu.dnetlib.dhp.application.ArgumentApplicationParser
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import eu.dnetlib.dhp.sx.bio.pubmed.{PMArticle, PMAuthor, PMJournal}
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import eu.dnetlib.dhp.sx.bio.BioDBToOAF.EBILinkItem
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import eu.dnetlib.dhp.sx.bio.pubmed.PMJournal
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import eu.dnetlib.dhp.sx.bio.pubmed.{PMArticle, PMAuthor, PMJournal}
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import org.apache.commons.io.IOUtils
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import org.apache.http.client.config.RequestConfig
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import org.apache.http.client.methods.HttpGet
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@ -1,11 +1,10 @@
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package eu.dnetlib.dhp.sx.bio.ebi
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import eu.dnetlib.dhp.application.ArgumentApplicationParser
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import eu.dnetlib.dhp.collection.CollectionUtils
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import eu.dnetlib.dhp.schema.oaf.Oaf
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import eu.dnetlib.dhp.sx.bio.BioDBToOAF
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import eu.dnetlib.dhp.sx.bio.BioDBToOAF.EBILinkItem
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import BioDBToOAF.EBILinkItem
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import eu.dnetlib.dhp.collection.CollectionUtils
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import org.apache.commons.io.IOUtils
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import org.apache.spark.SparkConf
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import org.apache.spark.sql._
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@ -38,7 +37,7 @@ object SparkEBILinksToOaf {
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ebLinks.flatMap(j => BioDBToOAF.parse_ebi_links(j.links))
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.filter(p => BioDBToOAF.EBITargetLinksFilter(p))
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.flatMap(p => BioDBToOAF.convertEBILinksToOaf(p))
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.flatMap(i=> CollectionUtils.fixRelations(i)).filter(i => i != null)
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.flatMap(i => CollectionUtils.fixRelations(i)).filter(i => i != null)
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.write.mode(SaveMode.Overwrite).save(targetPath)
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}
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}
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@ -4,10 +4,9 @@ import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
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import eu.dnetlib.dhp.schema.common.ModelConstants
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import eu.dnetlib.dhp.schema.oaf.utils.{GraphCleaningFunctions, IdentifierFactory, OafMapperUtils, PidType}
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import eu.dnetlib.dhp.schema.oaf._
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import scala.collection.JavaConverters._
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import java.util.regex.Pattern
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import collection.JavaConverters._
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/**
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*
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*/
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@ -22,10 +21,10 @@ object PubMedToOaf {
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val collectedFrom: KeyValue = OafMapperUtils.keyValue(ModelConstants.EUROPE_PUBMED_CENTRAL_ID, "Europe PubMed Central")
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/**
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* Cleaning the DOI Applying regex in order to
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* remove doi starting with URL
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*
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* @param doi input DOI
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* @return cleaned DOI
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*/
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@ -93,7 +92,6 @@ object PubMedToOaf {
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* @param vocabularyName the input vocabulary name
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* @param vocabularies all the vocabularies
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* @param term the term to find
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*
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* @return the cleaned term value
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*/
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def getVocabularyTerm(vocabularyName: String, vocabularies: VocabularyGroup, term: String): Qualifier = {
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@ -106,7 +104,6 @@ object PubMedToOaf {
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/**
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* Map the Pubmed Article into the OAF instance
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*
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*
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* @param article the pubmed articles
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* @param vocabularies the vocabularies
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* @return The OAF instance if the mapping did not fail
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@ -185,7 +182,6 @@ object PubMedToOaf {
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//--------------------------------------------------------------------------------------
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// RESULT MAPPING
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//--------------------------------------------------------------------------------------
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result.setDateofacceptance(OafMapperUtils.field(GraphCleaningFunctions.cleanDate(article.getDate), dataInfo))
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