Merge branch 'beta' into beta_solr_config

This commit is contained in:
Claudio Atzori 2021-10-14 11:08:44 +02:00
commit 14fbf92ad6
52 changed files with 3292 additions and 1095 deletions

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@ -60,14 +60,10 @@ object SparkCreateActionset {
val entities: Dataset[(String, Result)] = spark.read.load(s"$sourcePath/entities/*").as[Result].map(p => (p.getId, p))(Encoders.tuple(Encoders.STRING, resultEncoders))
entities.filter(r => r.isInstanceOf[Result]).map(r => r.asInstanceOf[Result])
entities
.joinWith(idRelation, entities("_1").equalTo(idRelation("value")))
.map(p => p._1._2)
.write.mode(SaveMode.Append).save(s"$workingDirFolder/actionSetOaf")
}
}

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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.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.JsonAST.{JField, JObject, JString}
import org.json4s.jackson.JsonMethods.{compact, parse, render}
import scala.collection.JavaConverters._
import collection.JavaConverters._
object BioDBToOAF {
case class EBILinkItem(id: Long, links: String) {}
@ -231,7 +229,6 @@ object BioDBToOAF {
}
def generate_unresolved_id(pid: String, pidType: String): String = {
s"unresolved::$pid::$pidType"
}

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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.schema.oaf.{Oaf, Result}
import BioDBToOAF.ScholixResolved
import eu.dnetlib.dhp.schema.oaf.Oaf
import eu.dnetllib.dhp.sx.bio.BioDBToOAF.ScholixResolved
import org.apache.commons.io.IOUtils
import org.apache.spark.SparkConf
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
@ -33,7 +33,6 @@ object SparkTransformBioDatabaseToOAF {
implicit val resultEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
import spark.implicits._
database.toUpperCase() match {
case "UNIPROT" =>
spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.uniprotToOAF(i))).write.mode(SaveMode.Overwrite).save(targetPath)

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@ -0,0 +1,200 @@
package eu.dnetllib.dhp.sx.bio.ebi
import eu.dnetlib.dhp.application.ArgumentApplicationParser
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
import eu.dnetlib.dhp.schema.oaf.Result
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.hadoop.conf.Configuration
import org.apache.hadoop.fs.{FSDataOutputStream, FileSystem, Path}
import org.apache.http.client.config.RequestConfig
import org.apache.http.client.methods.HttpGet
import org.apache.http.impl.client.HttpClientBuilder
import org.apache.spark.SparkConf
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.expressions.Aggregator
import org.apache.spark.sql._
import org.slf4j.{Logger, LoggerFactory}
import java.io.InputStream
import scala.io.Source
import scala.xml.pull.XMLEventReader
object SparkCreateBaselineDataFrame {
def requestBaseLineUpdatePage(maxFile: String): List[(String, String)] = {
val data = requestPage("https://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/")
val result = data.lines.filter(l => l.startsWith("<a href=")).map { l =>
val end = l.lastIndexOf("\">")
val start = l.indexOf("<a href=\"")
if (start >= 0 && end > start)
l.substring(start + 9, end - start)
else
""
}.filter(s => s.endsWith(".gz")).filter(s => s > maxFile).map(s => (s, s"https://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/$s")).toList
result
}
def downloadBaselinePart(url: String): InputStream = {
val r = new HttpGet(url)
val timeout = 60; // seconds
val config = RequestConfig.custom()
.setConnectTimeout(timeout * 1000)
.setConnectionRequestTimeout(timeout * 1000)
.setSocketTimeout(timeout * 1000).build()
val client = HttpClientBuilder.create().setDefaultRequestConfig(config).build()
val response = client.execute(r)
println(s"get response with status${response.getStatusLine.getStatusCode}")
response.getEntity.getContent
}
def requestPage(url: String): String = {
val r = new HttpGet(url)
val timeout = 60; // seconds
val config = RequestConfig.custom()
.setConnectTimeout(timeout * 1000)
.setConnectionRequestTimeout(timeout * 1000)
.setSocketTimeout(timeout * 1000).build()
val client = HttpClientBuilder.create().setDefaultRequestConfig(config).build()
try {
var tries = 4
while (tries > 0) {
println(s"requesting ${r.getURI}")
try {
val response = client.execute(r)
println(s"get response with status${response.getStatusLine.getStatusCode}")
if (response.getStatusLine.getStatusCode > 400) {
tries -= 1
}
else
return IOUtils.toString(response.getEntity.getContent)
} catch {
case e: Throwable =>
println(s"Error on requesting ${r.getURI}")
e.printStackTrace()
tries -= 1
}
}
""
} finally {
if (client != null)
client.close()
}
}
def downloadBaseLineUpdate(baselinePath: String, hdfsServerUri: String): Unit = {
val conf = new Configuration
conf.set("fs.defaultFS", hdfsServerUri)
val fs = FileSystem.get(conf)
val p = new Path(baselinePath)
val files = fs.listFiles(p, false)
var max_file = ""
while (files.hasNext) {
val c = files.next()
val data = c.getPath.toString
val fileName = data.substring(data.lastIndexOf("/") + 1)
if (fileName > max_file)
max_file = fileName
}
val files_to_download = requestBaseLineUpdatePage(max_file)
files_to_download.foreach { u =>
val hdfsWritePath: Path = new Path(s"$baselinePath/${u._1}")
val fsDataOutputStream: FSDataOutputStream = fs.create(hdfsWritePath, true)
val i = downloadBaselinePart(u._2)
IOUtils.copy(i, fsDataOutputStream)
println(s"Downloaded ${u._2} into $baselinePath/${u._1}")
fsDataOutputStream.close()
}
}
val pmArticleAggregator: Aggregator[(String, PMArticle), PMArticle, PMArticle] = new Aggregator[(String, PMArticle), PMArticle, PMArticle] with Serializable {
override def zero: PMArticle = new PMArticle
override def reduce(b: PMArticle, a: (String, PMArticle)): PMArticle = {
if (b != null && b.getPmid != null) b else a._2
}
override def merge(b1: PMArticle, b2: PMArticle): PMArticle = {
if (b1 != null && b1.getPmid != null) b1 else b2
}
override def finish(reduction: PMArticle): PMArticle = reduction
override def bufferEncoder: Encoder[PMArticle] = Encoders.kryo[PMArticle]
override def outputEncoder: Encoder[PMArticle] = Encoders.kryo[PMArticle]
}
def main(args: Array[String]): Unit = {
val conf: SparkConf = new SparkConf()
val log: Logger = LoggerFactory.getLogger(getClass)
val parser = new ArgumentApplicationParser(IOUtils.toString(SparkEBILinksToOaf.getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/bio/ebi/baseline_to_oaf_params.json")))
parser.parseArgument(args)
val isLookupUrl: String = parser.get("isLookupUrl")
log.info("isLookupUrl: {}", isLookupUrl)
val workingPath = parser.get("workingPath")
log.info("workingPath: {}", workingPath)
val targetPath = parser.get("targetPath")
log.info("targetPath: {}", targetPath)
val hdfsServerUri = parser.get("hdfsServerUri")
log.info("hdfsServerUri: {}", targetPath)
val skipUpdate = parser.get("skipUpdate")
log.info("skipUpdate: {}", skipUpdate)
val isLookupService = ISLookupClientFactory.getLookUpService(isLookupUrl)
val vocabularies = VocabularyGroup.loadVocsFromIS(isLookupService)
val spark: SparkSession =
SparkSession
.builder()
.config(conf)
.appName(SparkEBILinksToOaf.getClass.getSimpleName)
.master(parser.get("master")).getOrCreate()
val sc = spark.sparkContext
import spark.implicits._
implicit val PMEncoder: Encoder[PMArticle] = Encoders.kryo(classOf[PMArticle])
implicit val PMJEncoder: Encoder[PMJournal] = Encoders.kryo(classOf[PMJournal])
implicit val PMAEncoder: Encoder[PMAuthor] = Encoders.kryo(classOf[PMAuthor])
implicit val resultEncoder: Encoder[Result] = Encoders.kryo(classOf[Result])
if (!"true".equalsIgnoreCase(skipUpdate)) {
downloadBaseLineUpdate(s"$workingPath/baseline", hdfsServerUri)
val k: RDD[(String, String)] = sc.wholeTextFiles(s"$workingPath/baseline", 2000)
val ds: Dataset[PMArticle] = spark.createDataset(k.filter(i => i._1.endsWith(".gz")).flatMap(i => {
val xml = new XMLEventReader(Source.fromBytes(i._2.getBytes()))
new PMParser(xml)
}))
ds.map(p => (p.getPmid, p))(Encoders.tuple(Encoders.STRING, PMEncoder)).groupByKey(_._1)
.agg(pmArticleAggregator.toColumn)
.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]
exported_dataset
.map(a => PubMedToOaf.convert(a, vocabularies)).as[Result]
.filter(p => p != null)
.write.mode(SaveMode.Overwrite).save(targetPath)
}
}

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@ -1,23 +1,19 @@
package eu.dnetlib.dhp.sx.graph.ebi
package eu.dnetllib.dhp.sx.bio.ebi
import eu.dnetlib.dhp.application.ArgumentApplicationParser
import eu.dnetlib.dhp.sx.graph.bio.BioDBToOAF.EBILinkItem
import eu.dnetlib.dhp.sx.graph.bio.pubmed.{PMArticle, PMAuthor, PMJournal}
import eu.dnetllib.dhp.sx.bio.BioDBToOAF.EBILinkItem
import eu.dnetllib.dhp.sx.bio.pubmed.{PMArticle, PMAuthor, PMJournal}
import org.apache.commons.io.IOUtils
import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.fs.{FileSystem, Path}
import org.apache.http.client.config.RequestConfig
import org.apache.http.client.methods.{HttpGet, HttpUriRequest}
import org.apache.http.client.methods.HttpGet
import org.apache.http.impl.client.HttpClientBuilder
import org.apache.spark.SparkConf
import org.apache.spark.sql.expressions.Aggregator
import org.apache.spark.sql.functions.max
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
import org.apache.spark.sql._
import org.slf4j.{Logger, LoggerFactory}
object SparkDownloadEBILinks {
def createEBILinks(pmid: Long): EBILinkItem = {
val res = requestLinks(pmid)
@ -26,7 +22,6 @@ object SparkDownloadEBILinks {
null
}
def requestPage(url: String): String = {
val r = new HttpGet(url)
val timeout = 60; // seconds
@ -61,46 +56,11 @@ object SparkDownloadEBILinks {
}
}
def requestBaseLineUpdatePage():List[String] = {
val data =requestPage("https://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/")
val result =data.lines.filter(l => l.startsWith("<a href=")).map{l =>
val end = l.lastIndexOf("\">")
val start = l.indexOf("<a href=\"")
if (start>= 0 && end >start)
l.substring(start+9, (end-start))
else
""
}.filter(s =>s.endsWith(".gz") ).map(s => s"https://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/$s").toList
result
}
def downloadBaseLineUpdate(baselinePath:String, hdfsServerUri:String ):Unit = {
val conf = new Configuration
conf.set("fs.defaultFS", hdfsServerUri)
val fs = FileSystem.get(conf)
val p = new Path((baselinePath))
val files = fs.listFiles(p,false)
while (files.hasNext) {
val c = files.next()
c.getPath
}
}
def requestLinks(PMID: Long): String = {
requestPage(s"https://www.ebi.ac.uk/europepmc/webservices/rest/MED/$PMID/datalinks?format=json")
}
def main(args: Array[String]): Unit = {
val log: Logger = LoggerFactory.getLogger(getClass)

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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.schema.oaf.Oaf
import eu.dnetlib.dhp.sx.graph.bio
import eu.dnetlib.dhp.sx.graph.bio.BioDBToOAF
import eu.dnetlib.dhp.sx.graph.bio.BioDBToOAF.EBILinkItem
import eu.dnetllib.dhp.sx.bio.BioDBToOAF
import eu.dnetllib.dhp.sx.bio.BioDBToOAF.EBILinkItem
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 SparkEBILinksToOaf {
def main(args: Array[String]): Unit = {
@ -24,12 +23,12 @@ object SparkEBILinksToOaf {
.appName(SparkEBILinksToOaf.getClass.getSimpleName)
.master(parser.get("master")).getOrCreate()
import spark.implicits._
val sourcePath = parser.get("sourcePath")
log.info(s"sourcePath -> $sourcePath")
val targetPath = parser.get("targetPath")
log.info(s"targetPath -> $targetPath")
import spark.implicits._
implicit val PMEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
val ebLinks: Dataset[EBILinkItem] = spark.read.load(s"${sourcePath}_dataset").as[EBILinkItem].filter(l => l.links != null)

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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.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;

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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 {

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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;

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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.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 {
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.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._
import scala.collection.JavaConverters._
import java.util.regex.Pattern
import scala.collection.JavaConverters._
object PubMedToOaf {
@ -71,7 +72,7 @@ object PubMedToOaf {
if (article.getPublicationTypes == null)
return null
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)
return null
@ -105,7 +106,7 @@ object PubMedToOaf {
if (alternateIdentifier != null)
i.setAlternateIdentifier(List(alternateIdentifier).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
.map(s => (urlMap.getOrElse(s.getQualifier.getClassid, ""), s.getValue))
.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)
result.setSubject(subjects.asJava)
@ -148,7 +149,7 @@ object PubMedToOaf {
author.setFullname(a.getFullName)
author.setRank(index + 1)
author
}(collection breakOut)
}(collection.breakOut)
if (authors != null && authors.nonEmpty)

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@ -0,0 +1,8 @@
[
{"paramName":"mt", "paramLongName":"master", "paramDescription": "should be local or yarn", "paramRequired": true},
{"paramName":"i", "paramLongName":"isLookupUrl", "paramDescription": "isLookupUrl", "paramRequired": true},
{"paramName":"w", "paramLongName":"workingPath", "paramDescription": "the path of the sequencial file to read", "paramRequired": true},
{"paramName":"t", "paramLongName":"targetPath", "paramDescription": "the oaf path ", "paramRequired": true},
{"paramName":"s", "paramLongName":"skipUpdate", "paramDescription": "skip update ", "paramRequired": false},
{"paramName":"h", "paramLongName":"hdfsServerUri", "paramDescription": "the working path ", "paramRequired": true}
]

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@ -0,0 +1,5 @@
[
{"paramName":"mt", "paramLongName":"master", "paramDescription": "should be local or yarn", "paramRequired": true},
{"paramName":"s", "paramLongName":"sourcePath", "paramDescription": "the source Path", "paramRequired": true},
{"paramName":"w", "paramLongName":"workingPath", "paramDescription": "the working path ", "paramRequired": true}
]

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@ -1,17 +1,22 @@
<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>
<property>
<name>baselineWorkingPath</name>
<description>the Baseline Working Path</description>
</property>
<property>
<name>targetPath</name>
<description>the Target Path</description>
</property>
<property>
<name>isLookupUrl</name>
<description>The IS lookUp service endopoint</description>
</property>
<property>
<name>targetPath</name>
<description>The target path</description>
</property>
<property>
<name>skipUpdate</name>
<value>false</value>
<description>The request block size</description>
</property>
</parameters>
<start to="ConvertDataset"/>
@ -24,9 +29,9 @@
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Convert Baseline to Dataset</name>
<class>eu.dnetlib.dhp.sx.graph.ebi.SparkCreateBaselineDataFrame</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<name>Convert Baseline to OAF Dataset</name>
<class>eu.dnetllib.dhp.sx.bio.ebi.SparkCreateBaselineDataFrame</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
@ -41,6 +46,8 @@
<arg>--targetPath</arg><arg>${targetPath}</arg>
<arg>--master</arg><arg>yarn</arg>
<arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
<arg>--hdfsServerUri</arg><arg>${nameNode}</arg>
<arg>--skipUpdate</arg><arg>${skipUpdate}</arg>
</spark>
<ok to="End"/>
<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 eu.dnetlib.dhp.schema.common.ModelConstants
import eu.dnetlib.dhp.schema.oaf.utils.{CleaningFunctions, OafMapperUtils, PidType}
import eu.dnetlib.dhp.aggregation.AbstractVocabularyTest
import eu.dnetlib.dhp.schema.oaf.{Oaf, Relation, Result}
import eu.dnetlib.dhp.sx.graph.bio.BioDBToOAF.ScholixResolved
import eu.dnetlib.dhp.sx.graph.bio.BioDBToOAF
import eu.dnetlib.dhp.sx.graph.bio.pubmed.PubMedToOaf.dataInfo
import eu.dnetlib.dhp.sx.graph.ebi.SparkDownloadEBILinks
import eu.dnetllib.dhp.sx.bio.BioDBToOAF.ScholixResolved
import eu.dnetllib.dhp.sx.bio.pubmed.{PMArticle, PMParser, PubMedToOaf}
import org.json4s.DefaultFormats
import org.json4s.JsonAST.{JField, JObject, JString}
import org.json4s.jackson.JsonMethods.parse
@ -51,16 +48,11 @@ class BioScholixTest extends AbstractVocabularyTest{
}
@Test
def testDownloadEBIUpdate() = {
val data = SparkDownloadEBILinks.requestBaseLineUpdatePage()
println(data)
}
@Test
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()))
new PMParser(xml).foreach(s =>println(mapper.writeValueAsString(s)))
}
@ -70,7 +62,7 @@ class BioScholixTest extends AbstractVocabularyTest{
def testPubmedToOaf(): Unit = {
assertNotNull(vocabularies)
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))
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)))

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@ -1,3 +1,4 @@
package eu.dnetlib.dhp.oa.dedup;
import java.io.IOException;
@ -5,10 +6,7 @@ import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.PairFunction;
import org.apache.spark.sql.Dataset;
@ -21,7 +19,6 @@ import org.slf4j.LoggerFactory;
import org.xml.sax.SAXException;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.oa.dedup.model.Block;
import eu.dnetlib.dhp.schema.oaf.DataInfo;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
@ -31,7 +28,6 @@ import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.model.MapDocument;
import eu.dnetlib.pace.util.MapDocumentUtil;
import scala.Tuple2;
import scala.Tuple3;
public class SparkWhitelistSimRels extends AbstractSparkAction {
@ -82,7 +78,9 @@ public class SparkWhitelistSimRels extends AbstractSparkAction {
JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
// file format: source####target
Dataset<Tuple2<String, String>> whiteListRels = spark.createDataset(sc
Dataset<Tuple2<String, String>> whiteListRels = spark
.createDataset(
sc
.textFile(whiteListPath)
// check if the line is in the correct format: id1####id2
.filter(s -> s.contains(WHITELIST_SEPARATOR) && s.split(WHITELIST_SEPARATOR).length == 2)
@ -99,7 +97,9 @@ public class SparkWhitelistSimRels extends AbstractSparkAction {
final String outputPath = DedupUtility.createSimRelPath(workingPath, actionSetId, subEntity);
Dataset<Tuple2<String, String>> entities = spark.createDataset(sc
Dataset<Tuple2<String, String>> entities = spark
.createDataset(
sc
.textFile(DedupUtility.createEntityPath(graphBasePath, subEntity))
.repartition(numPartitions)
.mapToPair(
@ -112,17 +112,20 @@ public class SparkWhitelistSimRels extends AbstractSparkAction {
Dataset<Tuple2<String, String>> whiteListRels1 = whiteListRels
.joinWith(entities, whiteListRels.col("_1").equalTo(entities.col("_1")), "inner")
.map((MapFunction<Tuple2<Tuple2<String, String>, Tuple2<String, String>>, Tuple2<String, String>>) Tuple2::_1, Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
.map(
(MapFunction<Tuple2<Tuple2<String, String>, Tuple2<String, String>>, Tuple2<String, String>>) Tuple2::_1,
Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
Dataset<Tuple2<String, String>> whiteListRels2 = whiteListRels1
.joinWith(entities, whiteListRels1.col("_2").equalTo(entities.col("_1")), "inner")
.map((MapFunction<Tuple2<Tuple2<String, String>, Tuple2<String, String>>, Tuple2<String, String>>) Tuple2::_1, Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
.map(
(MapFunction<Tuple2<Tuple2<String, String>, Tuple2<String, String>>, Tuple2<String, String>>) Tuple2::_1,
Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
Dataset<Relation> whiteListSimRels = whiteListRels2
.map((MapFunction<Tuple2<String, String>, Relation>)
r -> createSimRel(r._1(), r._2(), entity),
Encoders.bean(Relation.class)
);
.map(
(MapFunction<Tuple2<String, String>, Relation>) r -> createSimRel(r._1(), r._2(), entity),
Encoders.bean(Relation.class));
saveParquet(whiteListSimRels, outputPath, SaveMode.Append);
}

View File

@ -0,0 +1,117 @@
package eu.dnetlib.dhp.oa.dedup;
import java.util.concurrent.TimeUnit;
import org.apache.commons.io.IOUtils;
import org.apache.http.client.methods.CloseableHttpResponse;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClients;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
public class UpdateOpenorgsJob {
private static final Logger log = LoggerFactory.getLogger(UpdateOpenorgsJob.class);
public static void main(String[] args) throws Exception {
ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
SparkCreateSimRels.class
.getResourceAsStream("/eu/dnetlib/dhp/oa/dedup/updateOpenorgsJob_parameters.json")));
parser.parseArgument(args);
final String apiUrl = parser.get("apiUrl");
final int delay = Integer.parseInt(parser.get("delay"));
log.info("apiUrl: '{}'", apiUrl);
log.info("delay: '{}'", delay);
APIResponse res = httpCall(apiUrl);
while (res != null && res.getStatus().equals(ImportStatus.RUNNING)) {
TimeUnit.MINUTES.sleep(delay);
res = httpCall(apiUrl + "/status");
}
if (res == null) {
log.error("Openorgs Update FAILED: No response");
throw new RuntimeException("Openorgs Update FAILED: No response");
}
if (res.getStatus() == null || !res.getStatus().equals(ImportStatus.SUCCESS)) {
log.error("Openorgs Update FAILED: '{}' - '{}'", res.getStatus(), res.getMessage());
throw new RuntimeException(res.getMessage());
}
}
private static APIResponse httpCall(final String url) throws Exception {
final HttpGet req = new HttpGet(url);
try (final CloseableHttpClient client = HttpClients.createDefault()) {
try (final CloseableHttpResponse response = client.execute(req)) {
final String s = IOUtils.toString(response.getEntity().getContent());
return (new ObjectMapper()).readValue(s, APIResponse.class);
}
}
}
}
class APIResponse {
private String id;
private Long dateStart;
private Long dateEnd;
private ImportStatus status;
private String message;
public String getId() {
return id;
}
public void setId(String id) {
this.id = id;
}
public Long getDateStart() {
return dateStart;
}
public void setDateStart(Long dateStart) {
this.dateStart = dateStart;
}
public Long getDateEnd() {
return dateEnd;
}
public void setDateEnd(Long dateEnd) {
this.dateEnd = dateEnd;
}
public ImportStatus getStatus() {
return status;
}
public void setStatus(ImportStatus status) {
this.status = status;
}
public String getMessage() {
return message;
}
public void setMessage(String message) {
this.message = message;
}
}
enum ImportStatus {
SUCCESS, FAILED, RUNNING, NOT_LAUNCHED, NOT_YET_STARTED
}

View File

@ -28,6 +28,11 @@
<name>dbPwd</name>
<description>password to access the OpenOrgs database</description>
</property>
<property>
<name>dbConnections</name>
<value>10</value>
<description>number of connections to the postgres db</description>
</property>
<property>
<name>workingPath</name>
<description>path for the working directory</description>
@ -223,7 +228,7 @@
<arg>--dbTable</arg><arg>${dbTable}</arg>
<arg>--dbUser</arg><arg>${dbUser}</arg>
<arg>--dbPwd</arg><arg>${dbPwd}</arg>
<arg>--numConnections</arg><arg>20</arg>
<arg>--numConnections</arg><arg>${dbConnections}</arg>
</spark>
<ok to="PrepareNewOrgs"/>
<error to="Kill"/>
@ -254,19 +259,24 @@
<arg>--dbTable</arg><arg>${dbTable}</arg>
<arg>--dbUser</arg><arg>${dbUser}</arg>
<arg>--dbPwd</arg><arg>${dbPwd}</arg>
<arg>--numConnections</arg><arg>20</arg>
<arg>--numConnections</arg><arg>${dbConnections}</arg>
</spark>
<ok to="update_openorgs"/>
<error to="Kill"/>
</action>
<action name="update_openorgs">
<shell xmlns="uri:oozie:shell-action:0.1">
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<exec>/usr/bin/curl</exec>
<argument>${apiUrl}</argument>
</shell>
<java>
<configuration>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>
<main-class>eu.dnetlib.dhp.oa.dedup.UpdateOpenorgsJob</main-class>
<arg>--apiUrl</arg><arg>${apiUrl}</arg>
<arg>--delay</arg><arg>5</arg>
</java>
<ok to="End"/>
<error to="Kill"/>
</action>

View File

@ -0,0 +1,14 @@
[
{
"paramName": "api",
"paramLongName": "apiUrl",
"paramDescription": "the url of the API",
"paramRequired": true
},
{
"paramName": "d",
"paramLongName": "delay",
"paramDescription": "delay for the HTTP call in minutes",
"paramRequired": true
}
]

View File

@ -269,17 +269,23 @@ public class SparkDedupTest implements Serializable {
.load(DedupUtility.createSimRelPath(testOutputBasePath, testActionSetId, "software"));
// check if the first relation in the whitelist exists
assertTrue(sw_simrel
assertTrue(
sw_simrel
.as(Encoders.bean(Relation.class))
.toJavaRDD()
.filter(rel ->
rel.getSource().equalsIgnoreCase(whiteList.get(0).split(WHITELIST_SEPARATOR)[0]) && rel.getTarget().equalsIgnoreCase(whiteList.get(0).split(WHITELIST_SEPARATOR)[1])).count() > 0);
.filter(
rel -> rel.getSource().equalsIgnoreCase(whiteList.get(0).split(WHITELIST_SEPARATOR)[0])
&& rel.getTarget().equalsIgnoreCase(whiteList.get(0).split(WHITELIST_SEPARATOR)[1]))
.count() > 0);
// check if the second relation in the whitelist exists
assertTrue(sw_simrel
assertTrue(
sw_simrel
.as(Encoders.bean(Relation.class))
.toJavaRDD()
.filter(rel ->
rel.getSource().equalsIgnoreCase(whiteList.get(1).split(WHITELIST_SEPARATOR)[0]) && rel.getTarget().equalsIgnoreCase(whiteList.get(1).split(WHITELIST_SEPARATOR)[1])).count() > 0);
.filter(
rel -> rel.getSource().equalsIgnoreCase(whiteList.get(1).split(WHITELIST_SEPARATOR)[0])
&& rel.getTarget().equalsIgnoreCase(whiteList.get(1).split(WHITELIST_SEPARATOR)[1]))
.count() > 0);
assertEquals(338, sw_simrel.count());

View File

@ -208,7 +208,7 @@ object SparkGenerateDoiBoost {
(r.getTarget,r)
else
("resolved", r)
})
})(Encoders.tuple(Encoders.STRING, mapEncoderRel))
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)
@ -222,7 +222,7 @@ object SparkGenerateDoiBoost {
else
currentRels.setTarget(currentOrgs._1)
currentRels
}.write.save(s"$workingDirPath/doiBoostPublicationAffiliation")
}.filter(r=> !r.getSource.startsWith("unresolved") && !r.getTarget.startsWith("unresolved")).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublicationAffiliation")
magPubs.joinWith(a,magPubs("_1").equalTo(a("PaperId"))).map( item => {
val affiliation = item._2

View File

@ -48,7 +48,7 @@
<!-- MAG Parameters -->
<property>
<name>inputPathMAG</name>
<description>the MAG working path</description>
<description>the MAG input path</description>
</property>
@ -138,7 +138,7 @@
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${inputPathMAG}/dataset</arg>
<arg>--workingPath</arg><arg>${inputPathMAG}/process_p</arg>
<arg>--workingPath</arg><arg>${workingPath}/MAG</arg>
<arg>--targetPath</arg><arg>${workingPath}</arg>
<arg>--master</arg><arg>yarn-cluster</arg>
</spark>

View File

@ -84,7 +84,8 @@ public class PropagationConstant {
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();
pa.setClassid(inference_class_id);
pa.setClassname(inference_class_name);
@ -108,7 +109,11 @@ public class PropagationConstant {
r.setRelClass(rel_class);
r.setRelType(rel_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;
}

View File

@ -173,7 +173,10 @@ public class SparkOrcidToResultFromSemRelJob {
if (toaddpid) {
StructuredProperty p = new StructuredProperty();
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
.setDataInfo(
getDataInfo(

View File

@ -10,7 +10,6 @@ import java.util.List;
import java.util.Optional;
import java.util.stream.Collectors;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
@ -22,6 +21,7 @@ import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
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.Result;
import scala.Tuple2;

View File

@ -7,7 +7,6 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
import java.util.*;
import java.util.stream.Collectors;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
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.resulttocommunityfromorganization.ResultCommunityList;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.*;
import scala.Tuple2;

View File

@ -1,93 +0,0 @@
package eu.dnetlib.dhp.sx.graph.ebi
import eu.dnetlib.dhp.application.ArgumentApplicationParser
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
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 org.apache.commons.io.IOUtils
import org.apache.spark.SparkConf
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.expressions.Aggregator
import org.apache.spark.sql._
import org.slf4j.{Logger, LoggerFactory}
import scala.io.Source
import scala.xml.pull.XMLEventReader
object SparkCreateBaselineDataFrame {
val pmArticleAggregator: Aggregator[(String, PMArticle), PMArticle, PMArticle] = new Aggregator[(String, PMArticle), PMArticle, PMArticle] with Serializable {
override def zero: PMArticle = new PMArticle
override def reduce(b: PMArticle, a: (String, PMArticle)): PMArticle = {
if (b != null && b.getPmid!= null) b else a._2
}
override def merge(b1: PMArticle, b2: PMArticle): PMArticle = {
if (b1 != null && b1.getPmid!= null) b1 else b2
}
override def finish(reduction: PMArticle): PMArticle = reduction
override def bufferEncoder: Encoder[PMArticle] = Encoders.kryo[PMArticle]
override def outputEncoder: Encoder[PMArticle] = Encoders.kryo[PMArticle]
}
def main(args: Array[String]): Unit = {
val conf: SparkConf = new SparkConf()
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")))
parser.parseArgument(args)
val isLookupUrl: String = parser.get("isLookupUrl")
log.info("isLookupUrl: {}", isLookupUrl)
val workingPath = parser.get("workingPath")
log.info("workingPath: {}", workingPath)
val targetPath = parser.get("targetPath")
log.info("targetPath: {}", targetPath)
val isLookupService = ISLookupClientFactory.getLookUpService(isLookupUrl)
val vocabularies = VocabularyGroup.loadVocsFromIS(isLookupService)
val spark: SparkSession =
SparkSession
.builder()
.config(conf)
.appName(SparkEBILinksToOaf.getClass.getSimpleName)
.master(parser.get("master")).getOrCreate()
import spark.implicits._
val sc = spark.sparkContext
implicit val PMEncoder: Encoder[PMArticle] = Encoders.kryo(classOf[PMArticle])
implicit val PMJEncoder: Encoder[PMJournal] = Encoders.kryo(classOf[PMJournal])
implicit val PMAEncoder: Encoder[PMAuthor] = Encoders.kryo(classOf[PMAuthor])
implicit val resultEncoder: Encoder[Result] = Encoders.kryo(classOf[Result])
val k: RDD[(String, String)] = sc.wholeTextFiles(s"$workingPath/baseline",2000)
val ds:Dataset[PMArticle] = spark.createDataset(k.filter(i => i._1.endsWith(".gz")).flatMap(i =>{
val xml = new XMLEventReader(Source.fromBytes(i._2.getBytes()))
new PMParser(xml)
} ))
ds.map(p => (p.getPmid,p))(Encoders.tuple(Encoders.STRING, PMEncoder)).groupByKey(_._1)
.agg(pmArticleAggregator.toColumn)
.map(p => p._2).write.mode(SaveMode.Overwrite).save(s"$workingPath/baseline_dataset")
val exported_dataset = spark.read.load(s"$workingPath/baseline_dataset").as[PMArticle]
exported_dataset
.map(a => PubMedToOaf.convert(a, vocabularies)).as[Result]
.filter(p => p!= null)
.write.mode(SaveMode.Overwrite).save(targetPath)
//s"$workingPath/oaf/baseline_oaf"
}
}

View File

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

View File

@ -1,6 +0,0 @@
[
{"paramName":"mt", "paramLongName":"master", "paramDescription": "should be local or yarn", "paramRequired": true},
{"paramName":"i", "paramLongName":"isLookupUrl","paramDescription": "isLookupUrl", "paramRequired": true},
{"paramName":"w", "paramLongName":"workingPath","paramDescription": "the path of the sequencial file to read", "paramRequired": true},
{"paramName":"t", "paramLongName":"targetPath","paramDescription": "the oaf path ", "paramRequired": true}
]

View File

@ -1,5 +0,0 @@
[
{"paramName":"mt", "paramLongName":"master", "paramDescription": "should be local or yarn", "paramRequired": true},
{"paramName":"s", "paramLongName":"sourcePath","paramDescription": "the source Path", "paramRequired": true},
{"paramName":"w", "paramLongName":"workingPath","paramDescription": "the working path ", "paramRequired": true}
]

View File

@ -25,7 +25,6 @@
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="GenerateBaselineDataset">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn-cluster</master>
@ -43,6 +42,7 @@
</spark-opts>
<arg>--workingPath</arg><arg>${workingPath}</arg>
<arg>--master</arg><arg>yarn</arg>
<arg>--hdfsServerUri</arg><arg>${nameNode}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>

View File

@ -51,9 +51,17 @@
<arg>--workingPath</arg><arg>${workingPath}</arg>
<arg>--master</arg><arg>yarn</arg>
</spark>
<ok to="OverrideFolders"/>
<error to="Kill"/>
</action>
<action name="OverrideFolders">
<fs>
<delete path="${sourcePath}/ebi_links_dataset_old"/>
<move source="${sourcePath}/ebi_links_dataset" target="${sourcePath}/ebi_links_dataset_old"/>
<move source="${workingPath}/links_final" target="${sourcePath}/ebi_links_dataset"/>
</fs>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

View File

@ -84,7 +84,28 @@ public class IndexRecordTransformerTest {
@Test
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);
}
@Test
public void testForEOSCFutureAirQualityCopernicus() throws IOException, TransformerException {
final String record = IOUtils
.toString(getClass().getResourceAsStream("eosc-future/air-quality-copernicus.xml"));
testRecordTransformation(record);
}
@Test
public void testForEOSCFutureB2SharePlotSw() throws IOException, TransformerException {
final String record = IOUtils.toString(getClass().getResourceAsStream("eosc-future/b2share-plot-sw.xml"));
testRecordTransformation(record);
}
@Test
public void testForEOSCFutureB2SharePlotRelatedORP() throws IOException, TransformerException {
final String record = IOUtils
.toString(getClass().getResourceAsStream("eosc-future/b2share-plot-related-orp.xml"));
testRecordTransformation(record);
}

View File

@ -0,0 +1,114 @@
<record>
<result xmlns:dri="http://www.driver-repository.eu/namespace/dri"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<header>
<dri:objIdentifier>r37b0ad08687::a8df7db30ae0e4e0b875a098df7b652f</dri:objIdentifier>
<dri:dateOfCollection>2021-10-07T01:56:56Z</dri:dateOfCollection>
<dri:status>under curation</dri:status>
<counters/>
</header>
<metadata>
<oaf:entity xmlns:oaf="http://namespace.openaire.eu/oaf"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://namespace.openaire.eu/oaf http://namespace.openaire.eu/oaf http://www.openaire.eu/schema/0.2/oaf-0.2.xsd">
<oaf:result>
<title classid="main title" classname="main title" schemeid="dnet:dataCite_title"
schemename="dnet:dataCite_title">Using CAMS European air quality analysis from Copernicus
Atmosphere Monitoring with RELIANCE services
</title>
<creator rank="1" name="Simone" surname="Mantovani" orcid_pending="0000-0003-3979-3645">Simone Mantovani</creator>
<dateofacceptance>2021-10-07</dateofacceptance>
<resulttype classid="software" classname="software" schemeid="dnet:result_typologies"
schemename="dnet:result_typologies"/>
<language classid="" classname="" schemeid="dnet:languages" schemename="dnet:languages"/>
<description>
This notebook shows how to discover and access the Copernicus Atmosphere Monitoring products available in the RELIANCE datacube resources.
The process is structured in 6 steps, including example of data analysis and visualization with the Python libraries installed in the Jupyter environment
</description>
<country classid="" classname="" schemeid="" schemename=""/>
<subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies"
schemename="dnet:subject_classification_typologies">EOSC Jupyter Notebook
</subject>
<subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies"
schemename="dnet:subject_classification_typologies">RELIANCE
</subject>
<subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies"
schemename="dnet:subject_classification_typologies">Copernicus
</subject>
<subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies"
schemename="dnet:subject_classification_typologies">Air quality
</subject>
<relevantdate classid="" classname="" schemeid="" schemename=""/>
<publisher>Zenodo</publisher>
<embargoenddate/>
<journal issn="" eissn="" lissn="" ep="" iss="" sp="" vol=""/>
<source/>
<fulltext/>
<format/>
<storagedate/>
<resourcetype classid="" classname="" schemeid="" schemename=""/>
<device/>
<size/>
<version/>
<lastmetadataupdate/>
<metadataversionnumber/>
<documentationUrl/>
<codeRepositoryUrl/>
<programmingLanguage classid="" classname="" schemeid="" schemename=""/>
<contactperson/>
<contactgroup/>
<tool/>
<originalId>oai:zenodo.org:5554786</originalId>
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View File

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<dri:dateOfTransformation>2020-11-03T05:39:50+0000</dri:dateOfTransformation>
</header>
<metadata>
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<title classid="main title" classname="main title" schemeid="dnet:dataCite_title" schemename="dnet:dataCite_title">EGI-Foundation/data-transfer-pilot: Include libraries in environment.yml</title>
<creator rank="1" name="" surname="">Giuseppe La Rocca</creator>
<creator rank="2" name="" surname="">Enol Fernández</creator>
<creator rank="3" name="" surname="">Andrea Manzi</creator>
<dateofacceptance />
<creator rank="1" name="Giuseppe" surname="La Rocca">Giuseppe La Rocca</creator>
<creator rank="2" name="Enol" surname="Fernández">Enol Fernández</creator>
<creator rank="3" name="Andrea" surname="Manzi">Andrea Manzi</creator>
<dateofacceptance>2020-11-03</dateofacceptance>
<resulttype classid="software" classname="software" schemeid="dnet:result_typologies" schemename="dnet:result_typologies" />
<language classid="" classname="" schemeid="dnet:languages" schemename="dnet:languages" />
<description>This notebook is used to demonstrate how a scientist from one of the PaNOSC RIs can use the resources provided by EGI to perform analysis on the data sets obtained during an expirement.</description>
<country classid="" classname="" schemeid="" schemename="" />
<subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies" schemename="dnet:subject_classification_typologies">EOSC Jupyter Notebook</subject>
<relevantdate classid="" classname="" schemeid="" schemename="" />
<relevantdate classid="issued" classname="issued" schemeid="dnet:dataCite_date" schemename="dnet:dataCite_date">2020-11-03</relevantdate>
<publisher>Zenodo</publisher>
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<journal issn="" eissn="" lissn="" ep="" iss="" sp="" vol="" />
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View File

@ -1,10 +1,8 @@
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@ -13,10 +11,10 @@
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<title classid="main title" classname="main title" schemeid="dnet:dataCite_title" schemename="dnet:dataCite_title">EGI-Foundation/training-notebooks-seadatanet: Version 0.4</title>
<creator rank="1" name="" surname="">Enol Fernández</creator>
<dateofacceptance />
<dateofacceptance>2019-12-04</dateofacceptance>
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<description>A sample notebook using SeaDataNet data to plot a map that shows surface temperature of Black Sea, Arctic Sea and Baltic Sea. The data is available at EGI DataHub with PID http://hdl.handle.net/21.T15999/qVk6JWQ (run at EGI Notebooks service for easy access to data).This release updates the PID for the data.</description>
<description>A sample notebook using SeaDataNet data to plot a map that shows surface temperature of Black Sea, Arctic Sea and Baltic Sea. The data is available at EGI DataHub with PID http://hdl.handle.net/21.T15999/3Byz9Cw (run at EGI Notebooks service for easy access to data). This release uses the correct path of the data share from the EGI DataHub.</description>
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View File

@ -11,9 +11,13 @@ TARGET_DB=$2
TMP=/tmp/stats-update-`tr -dc A-Za-z0-9 </dev/urandom | head -c 6`
echo "Downloading context data"
echo "Downloading context ids"
curl -L ${CONTEXT_API}/contexts/?type=ri,community -H "accept: application/json" | /usr/local/sbin/jq -r '.[] | "\(.id),\(.label)"' > contexts.csv
echo "Downloading categories data"
cat contexts.csv | cut -d , -f1 | xargs -I {} curl -L ${CONTEXT_API}/context/{}/?all=true | /usr/local/sbin/jq -r '.[]|"\(.id|split(":")[0]),\(.id),\(.label)"' > categories.csv
echo "Downloading concepts data"
cat categories.csv | cut -d , -f2 | sed 's/:/%3A/g'| xargs -I {} curl -L ${CONTEXT_API}/context/category/{}/?all=true | /usr/local/sbin/jq -r '.[]|"\(.id|split("::")[0])::\(.id|split("::")[1]),\(.id),\(.label)"' > concepts.csv
cat contexts.csv | sed 's/^\(.*\),\(.*\)/\1,\1::other,\2/' >> categories.csv
cat categories.csv | sed 's/^.*,\(.*\),\(.*\)/\1,\1::other,\2/' >> concepts.csv

View File

@ -753,7 +753,7 @@
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<mongodb.driver.version>3.4.2</mongodb.driver.version>
<vtd.version>[2.12,3.0)</vtd.version>
<dhp-schemas.version>[2.7.18]</dhp-schemas.version>
<dhp-schemas.version>[2.8.20]</dhp-schemas.version>
<dnet-actionmanager-api.version>[4.0.3]</dnet-actionmanager-api.version>
<dnet-actionmanager-common.version>[6.0.5]</dnet-actionmanager-common.version>
<dnet-openaire-broker-common.version>[3.1.6]</dnet-openaire-broker-common.version>