forked from D-Net/dnet-hadoop
hostedbymap
This commit is contained in:
parent
3d2bba3d5d
commit
baad01cadc
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@ -38,8 +38,7 @@ import scala.Tuple2;
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/**
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* Groups the graph content by entity identifier to ensure ID uniqueness
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*/
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public class
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GroupEntitiesSparkJob {
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public class GroupEntitiesSparkJob {
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private static final Logger log = LoggerFactory.getLogger(GroupEntitiesSparkJob.class);
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@ -245,6 +245,8 @@ object DoiBoostMappingUtil {
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if (item != null) {
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hb.setValue(item.officialname)
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hb.setKey(generateDSId(item.id))
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//TODO replace with the one above as soon as the new HBM will be used
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//hb.setKey(item.id)
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if (item.openAccess) {
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i.setAccessright(getOpenAccessQualifier())
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i.getAccessright.setOpenAccessRoute(OpenAccessRoute.gold)
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@ -1,54 +0,0 @@
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package eu.dnetlib.dhp.oa.graph.hostebymap
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import org.apache.spark.sql.{Dataset, Encoder, Encoders, TypedColumn}
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import org.apache.spark.sql.expressions.Aggregator
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case class HostedByItemType(id: String, officialname: String, issn: String, eissn: String, lissn: String, openAccess: Boolean) {}
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case class HostedByInfo(id: String, officialname: String, journal_id: String, provenance : String, id_type: String) {}
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object Aggregators {
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def getId(s1:String, s2:String) : String = {
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if (!s1.equals("")){
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return s1}
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s2
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}
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def createHostedByItemTypes(df: Dataset[HostedByItemType]): Dataset[HostedByItemType] = {
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val transformedData : Dataset[HostedByItemType] = df
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.groupByKey(_.id)(Encoders.STRING)
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.agg(Aggregators.hostedByAggregator)
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.map{
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case (id:String , res:HostedByItemType) => res
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}(Encoders.product[HostedByItemType])
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transformedData
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}
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val hostedByAggregator: TypedColumn[HostedByItemType, HostedByItemType] = new Aggregator[HostedByItemType, HostedByItemType, HostedByItemType] {
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override def zero: HostedByItemType = HostedByItemType("","","","","",false)
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override def reduce(b: HostedByItemType, a:HostedByItemType): HostedByItemType = {
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return merge(b, a)
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}
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override def merge(b1: HostedByItemType, b2: HostedByItemType): HostedByItemType = {
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if (b1 == null){
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return b2
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}
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if(b2 == null){
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return b1
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}
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HostedByItemType(getId(b1.id, b2.id), getId(b1.officialname, b2.officialname), getId(b1.issn, b2.issn), getId(b1.eissn, b2.eissn), getId(b1.lissn, b2.lissn), b1.openAccess || b2.openAccess)
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}
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override def finish(reduction: HostedByItemType): HostedByItemType = reduction
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override def bufferEncoder: Encoder[HostedByItemType] = Encoders.product[HostedByItemType]
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override def outputEncoder: Encoder[HostedByItemType] = Encoders.product[HostedByItemType]
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}.toColumn
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}
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@ -1,15 +0,0 @@
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package eu.dnetlib.dhp.oa.graph.hostebymap;
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public class Constants {
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public static final String OPENAIRE = "openaire";
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public static final String DOAJ = "doaj";
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public static final String UNIBI = "unibi";
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public static final String ISSN = "issn";
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public static final String EISSN = "eissn";
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public static final String ISSNL = "issnl";
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}
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@ -1,111 +0,0 @@
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package eu.dnetlib.dhp.oa.graph.hostebymap;
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import com.fasterxml.jackson.core.JsonProcessingException;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.opencsv.bean.CsvToBeanBuilder;
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import eu.dnetlib.dhp.oa.graph.hostebymap.model.UnibiGoldModel;
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import org.apache.commons.io.IOUtils;
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import org.apache.commons.logging.Log;
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import org.apache.commons.logging.LogFactory;
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import org.apache.hadoop.conf.Configuration;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import org.apache.hadoop.fs.FSDataOutputStream;
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import org.apache.hadoop.fs.FileSystem;
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import org.apache.hadoop.fs.Path;
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import java.io.*;
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import java.net.URL;
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import java.net.URLConnection;
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import java.nio.charset.Charset;
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import java.nio.charset.StandardCharsets;
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import java.util.List;
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import java.util.Optional;
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public class GetCSV {
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private static final Log log = LogFactory.getLog(eu.dnetlib.dhp.oa.graph.hostebymap.GetCSV.class);
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public static void main(final String[] args) throws Exception {
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(
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IOUtils
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.toString(
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GetCSV.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/graph/hostedbymap/download_csv_parameters.json")));
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parser.parseArgument(args);
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final String fileURL = parser.get("fileURL");
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final String hdfsPath = parser.get("hdfsPath");
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final String hdfsNameNode = parser.get("hdfsNameNode");
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final String classForName = parser.get("classForName");
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final Boolean shouldReplace = Optional.ofNullable((parser.get("replace")))
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.map(Boolean::valueOf)
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.orElse(false);
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URLConnection connection = new URL(fileURL).openConnection();
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connection.setRequestProperty("User-Agent", "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.95 Safari/537.11");
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connection.connect();
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BufferedReader in = new BufferedReader(new InputStreamReader(connection.getInputStream(), Charset.forName("UTF-8")));
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if(shouldReplace){
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PrintWriter writer = new PrintWriter(new BufferedWriter(new FileWriter("/tmp/DOAJ.csv")));
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String line = null;
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while((line = in.readLine())!= null){
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writer.println(line.replace("\\\"", "\""));
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}
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writer.close();
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in.close();
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in = new BufferedReader(new FileReader("/tmp/DOAJ.csv"));
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}
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Configuration conf = new Configuration();
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conf.set("fs.defaultFS", hdfsNameNode);
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FileSystem fileSystem = FileSystem.get(conf);
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Path hdfsWritePath = new Path(hdfsPath);
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FSDataOutputStream fsDataOutputStream = null;
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if (fileSystem.exists(hdfsWritePath)) {
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fileSystem.delete(hdfsWritePath, false);
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}
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fsDataOutputStream = fileSystem.create(hdfsWritePath);
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BufferedWriter writer = new BufferedWriter(new OutputStreamWriter(fsDataOutputStream, StandardCharsets.UTF_8));
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Class<?> clazz = Class.forName(classForName);
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ObjectMapper mapper = new ObjectMapper();
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new CsvToBeanBuilder(in)
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.withType(clazz)
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.withMultilineLimit(1)
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.build()
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.parse()
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.forEach(line -> {
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try {
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writer.write(mapper.writeValueAsString(line));
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writer.newLine();
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} catch (IOException e) {
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throw new RuntimeException(e);
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}
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});
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writer.close();
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in.close();
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if(shouldReplace){
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File f = new File("/tmp/DOAJ.csv");
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f.delete();
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}
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}
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}
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@ -1,53 +0,0 @@
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package eu.dnetlib.dhp.oa.graph.hostebymap.model;
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import java.io.Serializable;
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import com.opencsv.bean.CsvBindByName;
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public class DOAJModel implements Serializable {
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@CsvBindByName(column = "Journal title")
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private String journalTitle;
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@CsvBindByName(column = "Journal ISSN (print version)")
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private String issn ;
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@CsvBindByName(column = "Journal EISSN (online version)")
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private String eissn;
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@CsvBindByName(column = "Review process")
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private String reviewProcess;
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public String getJournalTitle() {
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return journalTitle;
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}
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public void setJournalTitle(String journalTitle) {
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this.journalTitle = journalTitle;
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}
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public String getIssn() {
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return issn;
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}
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public void setIssn(String issn) {
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this.issn = issn;
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}
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public String getEissn() {
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return eissn;
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}
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public void setEissn(String eissn) {
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this.eissn = eissn;
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}
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public String getReviewProcess() {
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return reviewProcess;
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}
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public void setReviewProcess(String reviewProcess) {
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this.reviewProcess = reviewProcess;
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}
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}
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@ -1,44 +0,0 @@
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package eu.dnetlib.dhp.oa.graph.hostebymap.model;
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import com.opencsv.bean.CsvBindByName;
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import java.io.Serializable;
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public class UnibiGoldModel implements Serializable {
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@CsvBindByName(column = "ISSN")
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private String issn;
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@CsvBindByName(column = "ISSN_L")
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private String issn_l;
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@CsvBindByName(column = "TITLE")
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private String title;
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@CsvBindByName(column = "TITLE_SOURCE")
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private String title_source;
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public String getIssn() {
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return issn;
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}
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public void setIssn(String issn) {
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this.issn = issn;
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}
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public String getIssn_l() {
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return issn_l;
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}
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public String getTitle() {
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return title;
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}
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public void setTitle(String title) {
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this.title = title;
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}
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public String getTitle_source() {
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return title_source;
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}
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public void setTitle_source(String title_source) {
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this.title_source = title_source;
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}
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}
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@ -0,0 +1,97 @@
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package eu.dnetlib.dhp.oa.graph.hostedbymap
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import org.apache.spark.sql.{Dataset, Encoder, Encoders, TypedColumn}
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import org.apache.spark.sql.expressions.Aggregator
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case class HostedByItemType(id: String, officialname: String, issn: String, eissn: String, lissn: String, openAccess: Boolean) {}
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case class HostedByInfo(id: String, officialname: String, journal_id: String, provenance : String, id_type: String) {}
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object Aggregators {
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def getId(s1:String, s2:String) : String = {
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if (s1.startsWith("10|")){
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return s1}
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s2
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}
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def getValue(s1:String, s2:String) : String = {
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if(!s1.equals("")){
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return s1
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}
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s2
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}
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def createHostedByItemTypes(df: Dataset[HostedByItemType]): Dataset[HostedByItemType] = {
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val transformedData : Dataset[HostedByItemType] = df
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.groupByKey(_.id)(Encoders.STRING)
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.agg(Aggregators.hostedByAggregator)
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.map{
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case (id:String , res:HostedByItemType) => res
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}(Encoders.product[HostedByItemType])
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transformedData
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}
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val hostedByAggregator: TypedColumn[HostedByItemType, HostedByItemType] = new Aggregator[HostedByItemType, HostedByItemType, HostedByItemType] {
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override def zero: HostedByItemType = HostedByItemType("","","","","",false)
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override def reduce(b: HostedByItemType, a:HostedByItemType): HostedByItemType = {
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return merge(b, a)
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}
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override def merge(b1: HostedByItemType, b2: HostedByItemType): HostedByItemType = {
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if (b1 == null){
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return b2
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}
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if(b2 == null){
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return b1
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}
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HostedByItemType(getId(b1.id, b2.id), getId(b1.officialname, b2.officialname), getId(b1.issn, b2.issn), getId(b1.eissn, b2.eissn), getId(b1.lissn, b2.lissn), b1.openAccess || b2.openAccess)
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}
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override def finish(reduction: HostedByItemType): HostedByItemType = reduction
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override def bufferEncoder: Encoder[HostedByItemType] = Encoders.product[HostedByItemType]
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override def outputEncoder: Encoder[HostedByItemType] = Encoders.product[HostedByItemType]
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}.toColumn
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def explodeHostedByItemType(df: Dataset[(String, HostedByItemType)]): Dataset[(String, HostedByItemType)] = {
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val transformedData : Dataset[(String, HostedByItemType)] = df
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.groupByKey(_._1)(Encoders.STRING)
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.agg(Aggregators.hostedByAggregator1)
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.map{
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case (id:String , res:(String, HostedByItemType)) => res
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}(Encoders.tuple(Encoders.STRING, Encoders.product[HostedByItemType]))
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transformedData
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}
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val hostedByAggregator1: TypedColumn[(String, HostedByItemType), (String, HostedByItemType)] = new Aggregator[(String, HostedByItemType), (String, HostedByItemType), (String, HostedByItemType)] {
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override def zero: (String, HostedByItemType) = ("", HostedByItemType("","","","","",false))
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override def reduce(b: (String, HostedByItemType), a:(String,HostedByItemType)): (String, HostedByItemType) = {
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return merge(b, a)
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}
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override def merge(b1: (String, HostedByItemType), b2: (String, HostedByItemType)): (String, HostedByItemType) = {
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if (b1 == null){
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return b2
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}
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if(b2 == null){
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return b1
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}
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if(b1._2.id.startsWith("10|")){
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return (b1._1, HostedByItemType(b1._2.id, b1._2.officialname, b1._2.issn, b1._2.eissn, b1._2.lissn, b1._2.openAccess || b2._2.openAccess))
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}
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return (b2._1, HostedByItemType(b2._2.id, b2._2.officialname, b2._2.issn, b2._2.eissn, b2._2.lissn, b1._2.openAccess || b2._2.openAccess))
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}
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override def finish(reduction: (String,HostedByItemType)): (String, HostedByItemType) = reduction
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override def bufferEncoder: Encoder[(String,HostedByItemType)] = Encoders.tuple(Encoders.STRING,Encoders.product[HostedByItemType])
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override def outputEncoder: Encoder[(String,HostedByItemType)] = Encoders.tuple(Encoders.STRING,Encoders.product[HostedByItemType])
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}.toColumn
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}
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@ -0,0 +1,13 @@
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package eu.dnetlib.dhp.oa.graph.hostedbymap;
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public class Constants {
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public static final String OPENAIRE = "openaire";
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public static final String DOAJ = "doaj";
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public static final String UNIBI = "unibi";
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public static final String ISSN = "issn";
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public static final String EISSN = "eissn";
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public static final String ISSNL = "issnl";
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}
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@ -0,0 +1,107 @@
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package eu.dnetlib.dhp.oa.graph.hostedbymap;
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import java.io.*;
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import java.net.URL;
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import java.net.URLConnection;
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import java.nio.charset.Charset;
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import java.nio.charset.StandardCharsets;
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import java.util.Optional;
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import org.apache.commons.io.IOUtils;
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import org.apache.commons.logging.Log;
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import org.apache.commons.logging.LogFactory;
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import org.apache.hadoop.conf.Configuration;
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import org.apache.hadoop.fs.FSDataOutputStream;
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import org.apache.hadoop.fs.FileSystem;
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import org.apache.hadoop.fs.Path;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.opencsv.bean.CsvToBeanBuilder;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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public class GetCSV {
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private static final Log log = LogFactory.getLog(eu.dnetlib.dhp.oa.graph.hostedbymap.GetCSV.class);
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public static void main(final String[] args) throws Exception {
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(
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IOUtils
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.toString(
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GetCSV.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/graph/hostedbymap/download_csv_parameters.json")));
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parser.parseArgument(args);
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final String fileURL = parser.get("fileURL");
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final String hdfsPath = parser.get("workingPath");
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final String hdfsNameNode = parser.get("hdfsNameNode");
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final String classForName = parser.get("classForName");
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final Boolean shouldReplace = Optional
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.ofNullable((parser.get("replace")))
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.map(Boolean::valueOf)
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.orElse(false);
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URLConnection connection = new URL(fileURL).openConnection();
|
||||
connection
|
||||
.setRequestProperty(
|
||||
"User-Agent",
|
||||
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.95 Safari/537.11");
|
||||
connection.connect();
|
||||
|
||||
BufferedReader in = new BufferedReader(
|
||||
new InputStreamReader(connection.getInputStream(), Charset.forName("UTF-8")));
|
||||
|
||||
if (shouldReplace) {
|
||||
PrintWriter writer = new PrintWriter(new BufferedWriter(new FileWriter("/tmp/DOAJ.csv")));
|
||||
String line = null;
|
||||
while ((line = in.readLine()) != null) {
|
||||
writer.println(line.replace("\\\"", "\""));
|
||||
}
|
||||
writer.close();
|
||||
in.close();
|
||||
in = new BufferedReader(new FileReader("/tmp/DOAJ.csv"));
|
||||
}
|
||||
|
||||
Configuration conf = new Configuration();
|
||||
conf.set("fs.defaultFS", hdfsNameNode);
|
||||
|
||||
FileSystem fileSystem = FileSystem.get(conf);
|
||||
Path hdfsWritePath = new Path(hdfsPath);
|
||||
FSDataOutputStream fsDataOutputStream = null;
|
||||
if (fileSystem.exists(hdfsWritePath)) {
|
||||
fileSystem.delete(hdfsWritePath, false);
|
||||
}
|
||||
fsDataOutputStream = fileSystem.create(hdfsWritePath);
|
||||
|
||||
BufferedWriter writer = new BufferedWriter(new OutputStreamWriter(fsDataOutputStream, StandardCharsets.UTF_8));
|
||||
|
||||
Class<?> clazz = Class.forName(classForName);
|
||||
|
||||
ObjectMapper mapper = new ObjectMapper();
|
||||
|
||||
new CsvToBeanBuilder(in)
|
||||
.withType(clazz)
|
||||
.withMultilineLimit(1)
|
||||
.build()
|
||||
.parse()
|
||||
.forEach(line -> {
|
||||
try {
|
||||
writer.write(mapper.writeValueAsString(line));
|
||||
writer.newLine();
|
||||
} catch (IOException e) {
|
||||
throw new RuntimeException(e);
|
||||
}
|
||||
});
|
||||
|
||||
writer.close();
|
||||
in.close();
|
||||
if (shouldReplace) {
|
||||
File f = new File("/tmp/DOAJ.csv");
|
||||
f.delete();
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -1,17 +1,23 @@
|
|||
package eu.dnetlib.dhp.oa.graph.hostebymap
|
||||
package eu.dnetlib.dhp.oa.graph.hostedbymap
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.oa.graph.hostebymap.model.{DOAJModel, UnibiGoldModel}
|
||||
import eu.dnetlib.dhp.schema.oaf.{Datasource}
|
||||
import eu.dnetlib.dhp.oa.graph.hostedbymap.model.{DOAJModel, UnibiGoldModel}
|
||||
import eu.dnetlib.dhp.schema.oaf.Datasource
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.json4s.DefaultFormats
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import org.apache.hadoop.conf.Configuration
|
||||
import org.apache.hadoop.fs.FileSystem
|
||||
import org.apache.hadoop.fs.Path
|
||||
import java.io.PrintWriter
|
||||
|
||||
object SparkPrepareHostedByMapData {
|
||||
import org.apache.hadoop.io.compress.GzipCodec
|
||||
|
||||
|
||||
object SparkProduceHostedByMap {
|
||||
|
||||
|
||||
implicit val tupleForJoinEncoder: Encoder[(String, HostedByItemType)] = Encoders.tuple(Encoders.STRING, Encoders.product[HostedByItemType])
|
||||
|
|
@ -37,24 +43,32 @@ object SparkPrepareHostedByMapData {
|
|||
}
|
||||
}
|
||||
|
||||
// def toHostedByMap(input: HostedByItemType): ListBuffer[String] = {
|
||||
// implicit val formats = DefaultFormats
|
||||
// val serializedJSON:String = write(input)
|
||||
//
|
||||
// var hostedBy = new ListBuffer[String]()
|
||||
// if(!input.issn.equals("")){
|
||||
// hostedBy += "{\"" + input.issn + "\":" + serializedJSON + "}"
|
||||
// }
|
||||
// if(!input.eissn.equals("")){
|
||||
// hostedBy += "{\"" + input.eissn + "\":" + serializedJSON + "}"
|
||||
// }
|
||||
// if(!input.lissn.equals("")){
|
||||
// hostedBy += "{\"" + input.lissn + "\":" + serializedJSON + "}"
|
||||
// }
|
||||
//
|
||||
// hostedBy
|
||||
//
|
||||
// }
|
||||
def toHostedByMap(input: (String, HostedByItemType)): String = {
|
||||
import org.json4s.jackson.Serialization
|
||||
|
||||
implicit val formats = org.json4s.DefaultFormats
|
||||
|
||||
val map: Map [String, HostedByItemType] = Map (input._1 -> input._2 )
|
||||
|
||||
Serialization.write(map)
|
||||
|
||||
|
||||
}
|
||||
|
||||
/**
|
||||
*
|
||||
def toHostedByMap(input: Map[String, HostedByItemType]): String = {
|
||||
import org.json4s.jackson.Serialization
|
||||
|
||||
implicit val formats = org.json4s.DefaultFormats
|
||||
|
||||
|
||||
|
||||
Serialization.write(input)
|
||||
|
||||
|
||||
}
|
||||
*/
|
||||
|
||||
def getHostedByItemType(id:String, officialname: String, issn:String, eissn:String, issnl:String, oa:Boolean): HostedByItemType = {
|
||||
if(issn != null){
|
||||
|
|
@ -166,11 +180,31 @@ object SparkPrepareHostedByMapData {
|
|||
}
|
||||
|
||||
|
||||
|
||||
def writeToHDFS(input: Array[String], outputPath: String, hdfsNameNode : String):Unit = {
|
||||
val conf = new Configuration()
|
||||
|
||||
conf.set("fs.defaultFS", hdfsNameNode)
|
||||
val fs= FileSystem.get(conf)
|
||||
val output = fs.create(new Path(outputPath))
|
||||
val writer = new PrintWriter(output)
|
||||
try {
|
||||
input.foreach(hbi => writer.println(hbi))
|
||||
}
|
||||
finally {
|
||||
writer.close()
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
|
||||
|
||||
def main(args: Array[String]): Unit = {
|
||||
|
||||
val logger: Logger = LoggerFactory.getLogger(getClass)
|
||||
val conf: SparkConf = new SparkConf()
|
||||
val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/oa/graph/hostedby/prepare_hostedby_params.json")))
|
||||
val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/oa/graph/hostedbymap/hostedby_params.json")))
|
||||
parser.parseArgument(args)
|
||||
val spark: SparkSession =
|
||||
SparkSession
|
||||
|
|
@ -179,11 +213,10 @@ object SparkPrepareHostedByMapData {
|
|||
.appName(getClass.getSimpleName)
|
||||
.master(parser.get("master")).getOrCreate()
|
||||
|
||||
import spark.implicits._
|
||||
|
||||
val datasourcePath = parser.get("datasourcePath")
|
||||
val workingDirPath = parser.get("workingPath")
|
||||
|
||||
val outputPath = parser.get("outputPath")
|
||||
|
||||
|
||||
implicit val formats = DefaultFormats
|
||||
|
|
@ -191,29 +224,15 @@ object SparkPrepareHostedByMapData {
|
|||
|
||||
logger.info("Getting the Datasources")
|
||||
|
||||
// val doajDataset: Dataset[DOAJModel] = spark.read.textFile(workingDirPath + "/doaj").as[DOAJModel]
|
||||
|
||||
val dats : Dataset[HostedByItemType] =
|
||||
oaHostedByDataset(spark, datasourcePath)
|
||||
Aggregators.explodeHostedByItemType(oaHostedByDataset(spark, datasourcePath)
|
||||
.union(goldHostedByDataset(spark, workingDirPath + "/unibi_gold"))
|
||||
.union(doajHostedByDataset(spark, workingDirPath + "/doaj"))
|
||||
dats.flatMap(hbi => toList(hbi))
|
||||
.groupByKey(_._1)
|
||||
.flatMap(hbi => toList(hbi))).filter(hbi => hbi._2.id.startsWith("10|"))
|
||||
.map(hbi => toHostedByMap(hbi))(Encoders.STRING)
|
||||
.rdd.saveAsTextFile(outputPath + "/hostedByMap", classOf[GzipCodec])
|
||||
|
||||
|
||||
//
|
||||
//
|
||||
|
||||
//
|
||||
|
||||
//
|
||||
// Aggregators.createHostedByItemTypes(oa.joinWith(doaj, oa.col("journal_id").equalTo(doaj.col("journal_id")), "left")
|
||||
// .joinWith(gold, $"_1.col('journal_id')".equalTo(gold.col("journal_id")), "left").map(toHostedByItemType)
|
||||
// .filter(i => i != null))
|
||||
// .flatMap(toHostedByMap)
|
||||
// .write.mode(SaveMode.Overwrite).save(s"$workingDirPath/HostedByMap")
|
||||
//
|
||||
//
|
||||
}
|
||||
|
||||
|
||||
|
|
@ -0,0 +1,52 @@
|
|||
|
||||
package eu.dnetlib.dhp.oa.graph.hostedbymap.model;
|
||||
|
||||
import java.io.Serializable;
|
||||
|
||||
import com.opencsv.bean.CsvBindByName;
|
||||
|
||||
public class DOAJModel implements Serializable {
|
||||
@CsvBindByName(column = "Journal title")
|
||||
private String journalTitle;
|
||||
|
||||
@CsvBindByName(column = "Journal ISSN (print version)")
|
||||
private String issn;
|
||||
|
||||
@CsvBindByName(column = "Journal EISSN (online version)")
|
||||
private String eissn;
|
||||
|
||||
@CsvBindByName(column = "Review process")
|
||||
private String reviewProcess;
|
||||
|
||||
public String getJournalTitle() {
|
||||
return journalTitle;
|
||||
}
|
||||
|
||||
public void setJournalTitle(String journalTitle) {
|
||||
this.journalTitle = journalTitle;
|
||||
}
|
||||
|
||||
public String getIssn() {
|
||||
return issn;
|
||||
}
|
||||
|
||||
public void setIssn(String issn) {
|
||||
this.issn = issn;
|
||||
}
|
||||
|
||||
public String getEissn() {
|
||||
return eissn;
|
||||
}
|
||||
|
||||
public void setEissn(String eissn) {
|
||||
this.eissn = eissn;
|
||||
}
|
||||
|
||||
public String getReviewProcess() {
|
||||
return reviewProcess;
|
||||
}
|
||||
|
||||
public void setReviewProcess(String reviewProcess) {
|
||||
this.reviewProcess = reviewProcess;
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,45 @@
|
|||
|
||||
package eu.dnetlib.dhp.oa.graph.hostedbymap.model;
|
||||
|
||||
import java.io.Serializable;
|
||||
|
||||
import com.opencsv.bean.CsvBindByName;
|
||||
|
||||
public class UnibiGoldModel implements Serializable {
|
||||
@CsvBindByName(column = "ISSN")
|
||||
private String issn;
|
||||
@CsvBindByName(column = "ISSN_L")
|
||||
private String issn_l;
|
||||
@CsvBindByName(column = "TITLE")
|
||||
private String title;
|
||||
@CsvBindByName(column = "TITLE_SOURCE")
|
||||
private String title_source;
|
||||
|
||||
public String getIssn() {
|
||||
return issn;
|
||||
}
|
||||
|
||||
public void setIssn(String issn) {
|
||||
this.issn = issn;
|
||||
}
|
||||
|
||||
public String getIssn_l() {
|
||||
return issn_l;
|
||||
}
|
||||
|
||||
public String getTitle() {
|
||||
return title;
|
||||
}
|
||||
|
||||
public void setTitle(String title) {
|
||||
this.title = title;
|
||||
}
|
||||
|
||||
public String getTitle_source() {
|
||||
return title_source;
|
||||
}
|
||||
|
||||
public void setTitle_source(String title_source) {
|
||||
this.title_source = title_source;
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,37 @@
|
|||
|
||||
[
|
||||
|
||||
{
|
||||
"paramName":"fu",
|
||||
"paramLongName":"fileURL",
|
||||
"paramDescription": "the url to download the csv file ",
|
||||
"paramRequired": true
|
||||
},
|
||||
|
||||
{
|
||||
"paramName":"wp",
|
||||
"paramLongName":"workingPath",
|
||||
"paramDescription": "the path where to find the pre-processed data for unibi gold list and doj artciles",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "hnn",
|
||||
"paramLongName": "hdfsNameNode",
|
||||
"paramDescription": "the path used to store the HostedByMap",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "cfn",
|
||||
"paramLongName": "classForName",
|
||||
"paramDescription": "true if the spark session is managed, false otherwise",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "sr",
|
||||
"paramLongName": "replace",
|
||||
"paramDescription": "true if the input file has to be cleaned before parsing",
|
||||
"paramRequired": false
|
||||
}
|
||||
]
|
||||
|
||||
|
||||
|
|
@ -0,0 +1,38 @@
|
|||
|
||||
[
|
||||
|
||||
{
|
||||
"paramName":"dsp",
|
||||
"paramLongName":"datasourcePath",
|
||||
"paramDescription": "the path to the datasource ",
|
||||
"paramRequired": true
|
||||
},
|
||||
|
||||
{
|
||||
"paramName":"wp",
|
||||
"paramLongName":"workingPath",
|
||||
"paramDescription": "the path where to find the pre-processed data for unibi gold list and doj artciles",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "out",
|
||||
"paramLongName": "outputPath",
|
||||
"paramDescription": "the path used to store the HostedByMap",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "ssm",
|
||||
"paramLongName": "isSparkSessionManaged",
|
||||
"paramDescription": "true if the spark session is managed, false otherwise",
|
||||
"paramRequired": false
|
||||
},
|
||||
{
|
||||
"paramName": "m",
|
||||
"paramLongName": "master",
|
||||
"paramDescription": "true if the spark session is managed, false otherwise",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
||||
|
||||
|
||||
|
||||
|
|
@ -0,0 +1,30 @@
|
|||
<configuration>
|
||||
<property>
|
||||
<name>jobTracker</name>
|
||||
<value>yarnRM</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>nameNode</name>
|
||||
<value>hdfs://nameservice1</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.use.system.libpath</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>hiveMetastoreUris</name>
|
||||
<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>hiveJdbcUrl</name>
|
||||
<value>jdbc:hive2://iis-cdh5-test-m3.ocean.icm.edu.pl:10000</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>hiveDbName</name>
|
||||
<value>openaire</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.launcher.mapreduce.user.classpath.first</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
</configuration>
|
||||
|
|
@ -0,0 +1,148 @@
|
|||
<workflow-app name="hosted_by_map" xmlns="uri:oozie:workflow:0.5">
|
||||
|
||||
<parameters>
|
||||
<property>
|
||||
<name>sourcePath</name>
|
||||
<description>the source path</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>outputPath</name>
|
||||
<description>the output path</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>sparkDriverMemory</name>
|
||||
<description>memory for driver process</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>sparkExecutorMemory</name>
|
||||
<description>memory for individual executor</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>sparkExecutorCores</name>
|
||||
<description>number of cores used by single executor</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozieActionShareLibForSpark2</name>
|
||||
<description>oozie action sharelib for spark 2.*</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark2ExtraListeners</name>
|
||||
<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
|
||||
<description>spark 2.* extra listeners classname</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark2SqlQueryExecutionListeners</name>
|
||||
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
|
||||
<description>spark 2.* sql query execution listeners classname</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark2YarnHistoryServerAddress</name>
|
||||
<description>spark 2.* yarn history server address</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark2EventLogDir</name>
|
||||
<description>spark 2.* event log dir location</description>
|
||||
</property>
|
||||
</parameters>
|
||||
|
||||
<global>
|
||||
<job-tracker>${jobTracker}</job-tracker>
|
||||
<name-node>${nameNode}</name-node>
|
||||
<configuration>
|
||||
<property>
|
||||
<name>mapreduce.job.queuename</name>
|
||||
<value>${queueName}</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.launcher.mapred.job.queue.name</name>
|
||||
<value>${oozieLauncherQueueName}</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.action.sharelib.for.spark</name>
|
||||
<value>${oozieActionShareLibForSpark2}</value>
|
||||
</property>
|
||||
|
||||
</configuration>
|
||||
</global>
|
||||
|
||||
<start to="reset_outputpath"/>
|
||||
|
||||
<kill name="Kill">
|
||||
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||
</kill>
|
||||
|
||||
<action name="reset_outputpath">
|
||||
<fs>
|
||||
<delete path="${outputPath}"/>
|
||||
<mkdir path="${outputPath}"/>
|
||||
</fs>
|
||||
<ok to="fork_downloads_csv"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
|
||||
|
||||
<fork name="fork_downloads_csv">
|
||||
<path start="download_gold"/>
|
||||
<path start="download_doaj"/>
|
||||
</fork>
|
||||
|
||||
<action name="download_gold">
|
||||
<java>
|
||||
<main-class>eu.dnetlib.dhp.oa.graph.hostedbymap.GetCSV</main-class>
|
||||
<arg>--hdfsNameNode</arg><arg>${nameNode}</arg>
|
||||
<arg>--fileURL</arg><arg>${unibiFileURL}</arg>
|
||||
<arg>--workingPath</arg><arg>${workingDir}/unibi_gold</arg>
|
||||
<arg>--classForName</arg><arg>eu.dnetlib.dhp.oa.graph.hostedbymap.model.UnibiGoldModel</arg>
|
||||
</java>
|
||||
<ok to="join_download"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="download_doaj">
|
||||
<java>
|
||||
<main-class>eu.dnetlib.dhp.oa.graph.hostedbymap.GetCSV</main-class>
|
||||
<arg>--hdfsNameNode</arg><arg>${nameNode}</arg>
|
||||
<arg>--fileURL</arg><arg>${doajFileURL}</arg>
|
||||
<arg>--workingPath</arg><arg>${workingDir}/doaj</arg>
|
||||
<arg>--classForName</arg><arg>eu.dnetlib.dhp.oa.graph.hostedbymap.model.DOAJModel</arg>
|
||||
<arg>--replace</arg><arg>true</arg>
|
||||
</java>
|
||||
<ok to="join_download"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
|
||||
|
||||
<join name="join_download" to="produceHBM"/>
|
||||
|
||||
<action name="produceHBM">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn-cluster</master>
|
||||
<name>Produce the new HostedByMap</name>
|
||||
<class>eu.dnetlib.dhp.oa.graph.hostedbymap.SparkProduceHostedByMap</class>
|
||||
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-memory=${sparkExecutorMemory}
|
||||
--executor-cores=${sparkExecutorCores}
|
||||
--driver-memory=${sparkDriverMemory}
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
|
||||
</spark-opts>
|
||||
<arg>--datasourcePath</arg><arg>${sourcePath}/datasource</arg>
|
||||
<arg>--workingPath</arg><arg>${workingDir}</arg>
|
||||
<arg>--outputPath</arg><arg>${outputPath}</arg>
|
||||
<arg>--master</arg><arg>yarn-cluster</arg>
|
||||
</spark>
|
||||
<ok to="End"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
|
||||
|
||||
<end name="End"/>
|
||||
|
||||
</workflow-app>
|
||||
|
|
@ -1,19 +1,14 @@
|
|||
package eu.dnetlib.dhp.oa.graph.hostedbymap
|
||||
|
||||
import java.sql.Timestamp
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.oa.graph.hostebymap.{Constants, HostedByInfo, SparkPrepareHostedByMapData}
|
||||
import eu.dnetlib.dhp.oa.graph.hostedbymap.{Aggregators, Constants, HostedByInfo, HostedByItemType, SparkProduceHostedByMap}
|
||||
import eu.dnetlib.dhp.schema.oaf.Datasource
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SparkSession}
|
||||
import org.json4s.DefaultFormats
|
||||
import org.junit.jupiter.api.Assertions.{assertNotNull, assertTrue}
|
||||
import org.junit.jupiter.api.Test
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import scala.collection.mutable.ListBuffer
|
||||
import scala.io.Source
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
import org.json4s.jackson.Serialization.write
|
||||
|
||||
class TestPreprocess extends java.io.Serializable{
|
||||
|
||||
|
|
@ -21,19 +16,14 @@ class TestPreprocess extends java.io.Serializable{
|
|||
implicit val schema = Encoders.product[HostedByInfo]
|
||||
|
||||
|
||||
def toHBIString (hbi:HostedByItemType): String = {
|
||||
implicit val formats = DefaultFormats
|
||||
|
||||
write(hbi)
|
||||
}
|
||||
|
||||
@Test
|
||||
def readDatasource():Unit = {
|
||||
|
||||
|
||||
import org.apache.spark.sql.Encoders
|
||||
implicit val formats = DefaultFormats
|
||||
|
||||
val logger: Logger = LoggerFactory.getLogger(getClass)
|
||||
val mapper = new ObjectMapper()
|
||||
|
||||
|
||||
|
||||
val conf = new SparkConf()
|
||||
conf.setMaster("local[*]")
|
||||
conf.set("spark.driver.host", "localhost")
|
||||
|
|
@ -45,25 +35,29 @@ class TestPreprocess extends java.io.Serializable{
|
|||
.getOrCreate()
|
||||
val path = getClass.getResource("datasource.json").getPath
|
||||
|
||||
val ds :Dataset[HostedByItemType]= SparkProduceHostedByMap.oaHostedByDataset(spark, path)
|
||||
|
||||
println(SparkPrepareHostedByMapData.oaHostedByDataset(spark, path).count)
|
||||
assertEquals(9, ds.count)
|
||||
|
||||
assertEquals(8, ds.filter(hbi => !hbi.issn.equals("")).count)
|
||||
assertEquals(5, ds.filter(hbi => !hbi.eissn.equals("")).count)
|
||||
assertEquals(0, ds.filter(hbi => !hbi.lissn.equals("")).count)
|
||||
|
||||
assertEquals(0, ds.filter(hbi => hbi.issn.equals("") && hbi.eissn.equals("") && hbi.lissn.equals("")).count)
|
||||
|
||||
assertTrue(ds.filter(hbi => hbi.issn.equals("0212-8365")).count == 1)
|
||||
assertTrue(ds.filter(hbi => hbi.eissn.equals("2253-900X")).count == 1)
|
||||
assertTrue(ds.filter(hbi => hbi.issn.equals("0212-8365") && hbi.eissn.equals("2253-900X")).count == 1)
|
||||
assertTrue(ds.filter(hbi => hbi.issn.equals("0212-8365") && hbi.officialname.equals("Thémata")).count == 1)
|
||||
assertTrue(ds.filter(hbi => hbi.issn.equals("0212-8365") && hbi.id.equals("10|doajarticles::abbc9265bea9ff62776a1c39785af00c")).count == 1)
|
||||
ds.foreach(hbi => assertTrue(hbi.id.startsWith("10|")))
|
||||
ds.foreach(hbi => println(toHBIString(hbi)))
|
||||
spark.close()
|
||||
}
|
||||
|
||||
|
||||
@Test
|
||||
def readGold():Unit = {
|
||||
|
||||
implicit val formats = DefaultFormats
|
||||
|
||||
val logger: Logger = LoggerFactory.getLogger(getClass)
|
||||
val mapper = new ObjectMapper()
|
||||
|
||||
|
||||
|
||||
val conf = new SparkConf()
|
||||
conf.setMaster("local[*]")
|
||||
conf.set("spark.driver.host", "localhost")
|
||||
|
|
@ -76,23 +70,27 @@ class TestPreprocess extends java.io.Serializable{
|
|||
val path = getClass.getResource("unibi_transformed.json").getPath
|
||||
|
||||
|
||||
println(SparkPrepareHostedByMapData.goldHostedByDataset(spark, path).count)
|
||||
val ds :Dataset[HostedByItemType]= SparkProduceHostedByMap.goldHostedByDataset(spark, path)
|
||||
|
||||
assertEquals(29, ds.count)
|
||||
|
||||
assertEquals(29, ds.filter(hbi => !hbi.issn.equals("")).count)
|
||||
assertEquals(0, ds.filter(hbi => !hbi.eissn.equals("")).count)
|
||||
assertEquals(29, ds.filter(hbi => !hbi.lissn.equals("")).count)
|
||||
|
||||
assertEquals(0, ds.filter(hbi => hbi.issn.equals("") && hbi.eissn.equals("") && hbi.lissn.equals("")).count)
|
||||
|
||||
assertTrue(ds.filter(hbi => hbi.issn.equals("2239-6101")).first().officialname.equals("European journal of sustainable development."))
|
||||
assertTrue(ds.filter(hbi => hbi.issn.equals("2239-6101")).first().lissn.equals("2239-5938"))
|
||||
assertTrue(ds.filter(hbi => hbi.issn.equals("2239-6101")).count == 1)
|
||||
ds.foreach(hbi => assertTrue(hbi.id.equals(Constants.UNIBI)))
|
||||
ds.foreach(hbi => println(toHBIString(hbi)))
|
||||
|
||||
spark.close()
|
||||
}
|
||||
|
||||
@Test
|
||||
def readDoaj():Unit = {
|
||||
|
||||
implicit val formats = DefaultFormats
|
||||
|
||||
val logger: Logger = LoggerFactory.getLogger(getClass)
|
||||
val mapper = new ObjectMapper()
|
||||
|
||||
|
||||
|
||||
val conf = new SparkConf()
|
||||
conf.setMaster("local[*]")
|
||||
conf.set("spark.driver.host", "localhost")
|
||||
|
|
@ -104,14 +102,69 @@ class TestPreprocess extends java.io.Serializable{
|
|||
.getOrCreate()
|
||||
val path = getClass.getResource("doaj_transformed.json").getPath
|
||||
|
||||
val ds :Dataset[HostedByItemType]= SparkProduceHostedByMap.doajHostedByDataset(spark, path)
|
||||
|
||||
println(SparkPrepareHostedByMapData.doajHostedByDataset(spark, path).count)
|
||||
assertEquals(25, ds.count)
|
||||
|
||||
assertEquals(14, ds.filter(hbi => !hbi.issn.equals("")).count)
|
||||
assertEquals(21, ds.filter(hbi => !hbi.eissn.equals("")).count)
|
||||
assertEquals(0, ds.filter(hbi => !hbi.lissn.equals("")).count)
|
||||
|
||||
assertEquals(0, ds.filter(hbi => hbi.issn.equals("") && hbi.eissn.equals("") && hbi.lissn.equals("")).count)
|
||||
|
||||
assertTrue(ds.filter(hbi => hbi.issn.equals("2077-3099")).first().officialname.equals("Journal of Space Technology"))
|
||||
assertTrue(ds.filter(hbi => hbi.issn.equals("2077-3099")).first().eissn.equals("2411-5029"))
|
||||
assertTrue(ds.filter(hbi => hbi.issn.equals("2077-3099")).count == 1)
|
||||
assertTrue(ds.filter(hbi => hbi.eissn.equals("2077-2955")).first().issn.equals(""))
|
||||
ds.foreach(hbi => assertTrue(hbi.id.equals(Constants.DOAJ)))
|
||||
ds.foreach(hbi => println(toHBIString(hbi)))
|
||||
|
||||
spark.close()
|
||||
}
|
||||
|
||||
@Test
|
||||
def testAggregator() : Unit = {
|
||||
|
||||
val conf = new SparkConf()
|
||||
conf.setMaster("local[*]")
|
||||
conf.set("spark.driver.host", "localhost")
|
||||
val spark: SparkSession =
|
||||
SparkSession
|
||||
.builder()
|
||||
.appName(getClass.getSimpleName)
|
||||
.config(conf)
|
||||
.getOrCreate()
|
||||
|
||||
|
||||
val tmp = SparkProduceHostedByMap.oaHostedByDataset(spark, getClass.getResource("datasource.json").getPath)
|
||||
.union(SparkProduceHostedByMap.goldHostedByDataset(spark,getClass.getResource("unibi_transformed.json").getPath))
|
||||
.union(SparkProduceHostedByMap.doajHostedByDataset(spark, getClass.getResource("doaj_transformed.json").getPath))
|
||||
.flatMap(hbi => SparkProduceHostedByMap.toList(hbi))(Encoders.tuple(Encoders.STRING, Encoders.product[HostedByItemType]))
|
||||
|
||||
assertEquals(106, tmp.count)
|
||||
assertEquals(82, tmp.map(i => i._1)(Encoders.STRING).distinct().count)
|
||||
|
||||
|
||||
val ds :Dataset[(String, HostedByItemType)] = Aggregators.explodeHostedByItemType(SparkProduceHostedByMap.oaHostedByDataset(spark, getClass.getResource("datasource.json").getPath)
|
||||
.union(SparkProduceHostedByMap.goldHostedByDataset(spark,getClass.getResource("unibi_transformed.json").getPath))
|
||||
.union(SparkProduceHostedByMap.doajHostedByDataset(spark, getClass.getResource("doaj_transformed.json").getPath))
|
||||
.flatMap(hbi => SparkProduceHostedByMap.toList(hbi))(Encoders.tuple(Encoders.STRING, Encoders.product[HostedByItemType])))
|
||||
|
||||
assertEquals(82, ds.count)
|
||||
|
||||
assertEquals(13, ds.filter(i => i._2.id.startsWith("10|")).count)
|
||||
|
||||
assertTrue(ds.filter(i => i._1.equals("2077-3757")).first()._2.id.startsWith("10|"))
|
||||
assertTrue(ds.filter(i => i._1.equals("2077-3757")).first()._2.openAccess)
|
||||
assertEquals(1, ds.filter(i => i._1.equals("2077-3757")).count)
|
||||
|
||||
val hbmap : Dataset[String] = ds.filter(hbi => hbi._2.id.startsWith("10|")).map(SparkProduceHostedByMap.toHostedByMap)(Encoders.STRING)
|
||||
|
||||
hbmap.foreach(entry => println(entry))
|
||||
spark.close()
|
||||
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -1,26 +1,25 @@
|
|||
|
||||
package eu.dnetlib.dhp.oa.graph.hostedbymap;
|
||||
|
||||
import java.io.*;
|
||||
import java.net.URL;
|
||||
import java.net.URLConnection;
|
||||
import java.nio.charset.Charset;
|
||||
import java.util.List;
|
||||
|
||||
import org.junit.jupiter.api.Test;
|
||||
|
||||
import com.fasterxml.jackson.core.JsonProcessingException;
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import com.opencsv.bean.CsvToBeanBuilder;
|
||||
import eu.dnetlib.dhp.oa.graph.hostebymap.GetCSV;
|
||||
import eu.dnetlib.dhp.oa.graph.hostebymap.model.UnibiGoldModel;
|
||||
import org.junit.jupiter.api.Test;
|
||||
|
||||
import java.io.*;
|
||||
import java.net.MalformedURLException;
|
||||
import java.net.URL;
|
||||
import java.net.URLConnection;
|
||||
import java.nio.charset.Charset;
|
||||
import java.nio.charset.StandardCharsets;
|
||||
import java.util.List;
|
||||
import eu.dnetlib.dhp.oa.graph.hostedbymap.model.UnibiGoldModel;
|
||||
|
||||
public class TestReadCSV {
|
||||
|
||||
@Test
|
||||
public void testCSVUnibi() throws FileNotFoundException {
|
||||
|
||||
|
||||
final String sourcePath = getClass()
|
||||
.getResource("/eu/dnetlib/dhp/oa/graph/hostedbymap/unibiGold.csv")
|
||||
.getPath();
|
||||
|
|
@ -40,7 +39,6 @@ public class TestReadCSV {
|
|||
}
|
||||
});
|
||||
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
|
|
@ -52,7 +50,7 @@ public class TestReadCSV {
|
|||
ObjectMapper mapper = new ObjectMapper();
|
||||
|
||||
new CsvToBeanBuilder(in)
|
||||
.withType(eu.dnetlib.dhp.oa.graph.hostebymap.model.UnibiGoldModel.class)
|
||||
.withType(eu.dnetlib.dhp.oa.graph.hostedbymap.model.UnibiGoldModel.class)
|
||||
.build()
|
||||
.parse()
|
||||
.forEach(line ->
|
||||
|
|
@ -65,7 +63,6 @@ public class TestReadCSV {
|
|||
}
|
||||
}
|
||||
|
||||
|
||||
);
|
||||
}
|
||||
|
||||
|
|
@ -73,10 +70,14 @@ public class TestReadCSV {
|
|||
public void testCSVUrlDOAJ() throws IOException {
|
||||
|
||||
URLConnection connection = new URL("https://doaj.org/csv").openConnection();
|
||||
connection.setRequestProperty("User-Agent", "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.95 Safari/537.11");
|
||||
connection
|
||||
.setRequestProperty(
|
||||
"User-Agent",
|
||||
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.95 Safari/537.11");
|
||||
connection.connect();
|
||||
|
||||
BufferedReader in = new BufferedReader(new InputStreamReader(connection.getInputStream(), Charset.forName("UTF-8")));
|
||||
BufferedReader in = new BufferedReader(
|
||||
new InputStreamReader(connection.getInputStream(), Charset.forName("UTF-8")));
|
||||
// BufferedReader in = new BufferedReader(new FileReader("/tmp/DOAJ.csv"));
|
||||
PrintWriter writer = new PrintWriter(new BufferedWriter(new FileWriter("/tmp/DOAJ_1.csv")));
|
||||
String line = null;
|
||||
|
|
@ -88,10 +89,8 @@ public class TestReadCSV {
|
|||
in = new BufferedReader(new FileReader("/tmp/DOAJ_1.csv"));
|
||||
ObjectMapper mapper = new ObjectMapper();
|
||||
|
||||
|
||||
|
||||
new CsvToBeanBuilder(in)
|
||||
.withType(eu.dnetlib.dhp.oa.graph.hostebymap.model.DOAJModel.class)
|
||||
.withType(eu.dnetlib.dhp.oa.graph.hostedbymap.model.DOAJModel.class)
|
||||
.withMultilineLimit(1)
|
||||
.build()
|
||||
.parse()
|
||||
|
|
@ -105,7 +104,6 @@ public class TestReadCSV {
|
|||
}
|
||||
}
|
||||
|
||||
|
||||
);
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,13 +1,13 @@
|
|||
|
||||
package eu.dnetlib.dhp.oa.graph.raw;
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
|
||||
import eu.dnetlib.dhp.oa.graph.clean.GraphCleaningFunctionsTest;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
import eu.dnetlib.dhp.schema.oaf.*;
|
||||
import eu.dnetlib.dhp.schema.oaf.utils.PidType;
|
||||
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
|
||||
import static org.junit.jupiter.api.Assertions.*;
|
||||
import static org.mockito.Mockito.lenient;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.List;
|
||||
import java.util.Optional;
|
||||
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
import org.junit.jupiter.api.BeforeEach;
|
||||
|
|
@ -16,12 +16,14 @@ import org.junit.jupiter.api.extension.ExtendWith;
|
|||
import org.mockito.Mock;
|
||||
import org.mockito.junit.jupiter.MockitoExtension;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.List;
|
||||
import java.util.Optional;
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
|
||||
import static org.junit.jupiter.api.Assertions.*;
|
||||
import static org.mockito.Mockito.lenient;
|
||||
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
|
||||
import eu.dnetlib.dhp.oa.graph.clean.GraphCleaningFunctionsTest;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
import eu.dnetlib.dhp.schema.oaf.*;
|
||||
import eu.dnetlib.dhp.schema.oaf.utils.PidType;
|
||||
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
|
||||
|
||||
@ExtendWith(MockitoExtension.class)
|
||||
public class MappersTest {
|
||||
|
|
|
|||
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|
|
@ -0,0 +1,9 @@
|
|||
{"id":"10|doajarticles::0ab37b7620eb9a73ac95d3ca4320c97d","officialname":"Известия высших учебных заведений: Проблемы энергетики","issn":"1998-9903","eissn":"","lissn":"","openAccess":false}
|
||||
{"id":"10|doajarticles::abbc9265bea9ff62776a1c39785af00c","officialname":"Thémata","issn":"0212-8365","eissn":"2253-900X","lissn":"","openAccess":false}
|
||||
{"id":"10|issn___print::051e86306840dc8255d95c5671e97928","officialname":"Science Technology & Public Policy","issn":"2640-4613","eissn":"","lissn":"","openAccess":false}
|
||||
{"id":"10|issn___print::4b2e7f05b6353940e5a7a592f2a87c94","officialname":"Cahiers d’études germaniques","issn":"0751-4239","eissn":"2605-8359","lissn":"","openAccess":false}
|
||||
{"id":"10|issn___print::4c950a72660642d69e767d1c2daad4a2","officialname":"Regional Economics Theory and Practice","issn":"2073-1477","eissn":"2311-8733","lissn":"","openAccess":false}
|
||||
{"id":"10|issn___print::9241f8ebd40dd55cbb179028b84ebb12","officialname":"Transplantation","issn":"0041-1337","eissn":"","lissn":"","openAccess":false}
|
||||
{"id":"10|issn___print::982b4d2537d3f800b596fbec3dae0c7c","officialname":"International Journal of Operations Research and Information Systems","issn":"1947-9328","eissn":"1947-9336","lissn":"","openAccess":false}
|
||||
{"id":"10|issn___print::b9faf9c36c47169d4328e586eb62247c","officialname":"Bulletin of the British Mycological Society","issn":"0007-1528","eissn":"","lissn":"","openAccess":false}
|
||||
{"id":"10|issn__online::709e633c2ecf46396a4ed1b0096da1d0","officialname":"Journal of Technology and Innovation","issn":"","eissn":"2410-3993","lissn":"","openAccess":false}
|
||||
|
|
@ -0,0 +1,25 @@
|
|||
{"id":"doaj","officialname":"Lëd i Sneg","issn":"2076-6734","eissn":"2412-3765","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Компьютерные исследования и моделирование","issn":"2076-7633","eissn":"2077-6853","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":" Историко-биологические исследования","issn":"2076-8176","eissn":"2500-1221","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Інформаційні технології і засоби навчання","issn":"2076-8184","eissn":"","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Revue Internationale de Pédagogie de l’Enseignement Supérieur","issn":"","eissn":"2076-8427","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Проблемы развития территории","issn":"2076-8915","eissn":"2409-9007","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Rambam Maimonides Medical Journal","issn":"","eissn":"2076-9172","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Membranes","issn":"2077-0375","eissn":"","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Journal of Clinical Medicine","issn":"","eissn":"2077-0383","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Agriculture","issn":"","eissn":"2077-0472","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Standartnye Obrazcy","issn":"2077-1177","eissn":"","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Металл и литье Украины","issn":"2077-1304","eissn":"2706-5529","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Journal of Marine Science and Engineering","issn":"","eissn":"2077-1312","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Religions","issn":"","eissn":"2077-1444","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"GW-Unterricht","issn":"2077-1517","eissn":"2414-4169","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"UCV-Scientia","issn":"2077-172X","eissn":"","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Sovremennye Issledovaniâ Socialʹnyh Problem","issn":"2077-1770","eissn":"2218-7405","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Granì","issn":"2077-1800","eissn":"2413-8738","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Journal of Economics Finance and Administrative Science","issn":"2077-1886","eissn":"2218-0648","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Science Education International","issn":"","eissn":"2077-2327","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Edumecentro","issn":"","eissn":"2077-2874","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Monteverdia","issn":"","eissn":"2077-2890","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Transformación","issn":"","eissn":"2077-2955","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Journal of Space Technology","issn":"2077-3099","eissn":"2411-5029","lissn":"","openAccess":true}
|
||||
{"id":"doaj","officialname":"Revue de Primatologie","issn":"","eissn":"2077-3757","lissn":"","openAccess":true}
|
||||
|
|
@ -0,0 +1,29 @@
|
|||
{"id":"unibi","officialname":"JIMKESMAS (Jurnal Ilmiah Mahasiswa Kesehatan Masyarakat)","issn":"2502-731X","eissn":"","lissn":"2502-731X","openAccess":true}
|
||||
{"id":"unibi","officialname":"Jurnal ilmu informasi, perpustakaan, dan kearsipan","issn":"2502-7409","eissn":"","lissn":"1411-0253","openAccess":true}
|
||||
{"id":"unibi","officialname":"At-Tadbir : jurnal ilmiah manajemen","issn":"2502-7433","eissn":"","lissn":"2502-7433","openAccess":true}
|
||||
{"id":"unibi","officialname":"Jurnal Kesehatan Panrita Husada.","issn":"2502-745X","eissn":"","lissn":"2502-745X","openAccess":true}
|
||||
{"id":"unibi","officialname":"ELang journal (An English Education journal)","issn":"2502-7549","eissn":"","lissn":"2502-7549","openAccess":true}
|
||||
{"id":"unibi","officialname":"̒Ulūm-i darmāngāhī-i dāmpizishkī-i Īrān.","issn":"2423-3633","eissn":"","lissn":"2423-3625","openAccess":true}
|
||||
{"id":"unibi","officialname":"Pizhūhishnāmah-i ̒ilm/sanjī.","issn":"2423-5563","eissn":"","lissn":"2423-3773","openAccess":true}
|
||||
{"id":"unibi","officialname":"Iranian journal of animal biosystematics.","issn":"1735-434X","eissn":"","lissn":"1735-434X","openAccess":true}
|
||||
{"id":"unibi","officialname":"Majallah-i jangal-i Īrān.","issn":"2423-4435","eissn":"","lissn":"2008-6113","openAccess":true}
|
||||
{"id":"unibi","officialname":"Ābziyān-i zinatī.","issn":"2423-4575","eissn":"","lissn":"2423-4575","openAccess":true}
|
||||
{"id":"unibi","officialname":"Pizhūhishnāmah-i ravābiṭ-i biyn/al- milal.","issn":"2423-4974","eissn":"","lissn":"2423-4974","openAccess":true}
|
||||
{"id":"unibi","officialname":"AIHM journal club.","issn":"2380-0607","eissn":"","lissn":"2380-0607","openAccess":true}
|
||||
{"id":"unibi","officialname":"Frontiers.","issn":"1085-4568","eissn":"","lissn":"1085-4568","openAccess":true}
|
||||
{"id":"unibi","officialname":"The journal of contemporary archival studies.","issn":"2380-8845","eissn":"","lissn":"2380-8845","openAccess":true}
|
||||
{"id":"unibi","officialname":"International journal of complementary & alternative medicine.","issn":"2381-1803","eissn":"","lissn":"2381-1803","openAccess":true}
|
||||
{"id":"unibi","officialname":"Palapala.","issn":"2381-2478","eissn":"","lissn":"2381-2478","openAccess":true}
|
||||
{"id":"unibi","officialname":"Asia pacific journal of environment ecology and sustainable development.","issn":"2382-5170","eissn":"","lissn":"2382-5170","openAccess":true}
|
||||
{"id":"unibi","officialname":"Majallah-i salāmat va bihdāsht","issn":"2382-9737","eissn":"","lissn":"2382-9737","openAccess":true}
|
||||
{"id":"unibi","officialname":"UCT journal of research in science ,engineering and technology","issn":"2382-977X","eissn":"","lissn":"2382-977X","openAccess":true}
|
||||
{"id":"unibi","officialname":"Bih/nizhādī-i giyāhān-i zirā̒ī va bāghī.","issn":"2382-9974","eissn":"","lissn":"2382-9974","openAccess":true}
|
||||
{"id":"unibi","officialname":"Problemi endokrinnoï patologìï.","issn":"2227-4782","eissn":"","lissn":"2227-4782","openAccess":true}
|
||||
{"id":"unibi","officialname":"Jurnal Kebijakan Pembangunan Daerah : Jurnal Penelitian dan Pengembangan Kebijakan Pembangunan Daerah.","issn":"2685-0079","eissn":"","lissn":"2597-4971","openAccess":true}
|
||||
{"id":"unibi","officialname":"Hypermedia magazine.","issn":"2574-0075","eissn":"","lissn":"2574-0075","openAccess":true}
|
||||
{"id":"unibi","officialname":"The museum review.","issn":"2574-0296","eissn":"","lissn":"2574-0296","openAccess":true}
|
||||
{"id":"unibi","officialname":"Bioactive compounds in health and disease.","issn":"2574-0334","eissn":"","lissn":"2574-0334","openAccess":true}
|
||||
{"id":"unibi","officialname":"Journal of computer science integration.","issn":"2574-108X","eissn":"","lissn":"2574-108X","openAccess":true}
|
||||
{"id":"unibi","officialname":"Child and adolescent obesity.","issn":"2574-254X","eissn":"","lissn":"2574-254X","openAccess":true}
|
||||
{"id":"unibi","officialname":"Journal of research on the college president.","issn":"2574-3325","eissn":"","lissn":"2574-3325","openAccess":true}
|
||||
{"id":"unibi","officialname":"European journal of sustainable development.","issn":"2239-6101","eissn":"","lissn":"2239-5938","openAccess":true}
|
||||
Loading…
Reference in New Issue