forked from D-Net/dnet-hadoop
Merge pull request 'hostedbymap' (#136) from hostedbymap into beta
Reviewed-on: D-Net/dnet-hadoop#136
This commit is contained in:
commit
e91ffcd2f3
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@ -16,10 +16,15 @@ import org.apache.commons.lang.reflect.FieldUtils;
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public class CSVParser {
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public <R> List<R> parse(String csvFile, String classForName)
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throws ClassNotFoundException, IOException, IllegalAccessException, InstantiationException {
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return parse(csvFile, classForName, ';');
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}
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public <R> List<R> parse(String csvFile, String classForName, char delimiter)
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throws ClassNotFoundException, IOException, IllegalAccessException, InstantiationException {
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final CSVFormat format = CSVFormat.EXCEL
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.withHeader()
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.withDelimiter(';')
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.withDelimiter(delimiter)
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.withQuote('"')
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.withTrim();
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List<R> ret = new ArrayList<>();
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@ -6,6 +6,7 @@ import java.io.Closeable;
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import java.io.IOException;
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import java.io.OutputStreamWriter;
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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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@ -29,6 +30,7 @@ public class ReadCSV implements Closeable {
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private final BufferedWriter writer;
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private final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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private final String csvFile;
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private final char delimiter;
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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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@ -44,19 +46,23 @@ public class ReadCSV implements Closeable {
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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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try (final ReadCSV readCSV = new ReadCSV(hdfsPath, hdfsNameNode, fileURL)) {
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Optional<String> delimiter = Optional.ofNullable(parser.get("delimiter"));
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char del = ';';
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if (delimiter.isPresent())
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del = delimiter.get().charAt(0);
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try (final ReadCSV readCSV = new ReadCSV(hdfsPath, hdfsNameNode, fileURL, del)) {
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log.info("Getting CSV file...");
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readCSV.execute(classForName);
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}
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}
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public void execute(final String classForName)
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throws IOException, ClassNotFoundException, IllegalAccessException, InstantiationException {
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CSVParser csvParser = new CSVParser();
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csvParser
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.parse(csvFile, classForName)
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.parse(csvFile, classForName, delimiter)
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.stream()
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.forEach(this::write);
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}
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@ -69,7 +75,8 @@ public class ReadCSV implements Closeable {
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public ReadCSV(
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final String hdfsPath,
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final String hdfsNameNode,
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final String fileURL)
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final String fileURL,
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char delimiter)
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throws Exception {
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Configuration conf = new Configuration();
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conf.set("fs.defaultFS", hdfsNameNode);
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@ -84,6 +91,7 @@ public class ReadCSV implements Closeable {
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this.writer = new BufferedWriter(new OutputStreamWriter(fos, StandardCharsets.UTF_8));
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this.csvFile = httpConnector.getInputSource(fileURL);
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this.delimiter = delimiter;
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}
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protected void write(final Object p) {
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@ -33,7 +33,7 @@ public class ReadExcel implements Closeable {
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(
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IOUtils
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.toString(
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ReadCSV.class
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ReadExcel.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/actionmanager/project/parameters.json")));
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@ -28,6 +28,11 @@
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"paramLongName" : "sheetName",
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"paramDescription" : "the name of the sheet in case the file is excel",
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"paramRequired" : false
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}, {
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"paramName": "d",
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"paramLongName" : "delimiter",
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"paramDescription" : "the delimiter between fields in case it is not ;",
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"paramRequired" : false
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}
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@ -232,6 +232,8 @@ 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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@ -0,0 +1,39 @@
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[
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{
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"paramName": "fu",
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"paramLongName" : "fileURL",
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"paramDescription" : "the url of the file to download",
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"paramRequired" : true
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},
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{
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"paramName": "hp",
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"paramLongName" : "hdfsPath",
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"paramDescription" : "where to save the file",
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"paramRequired" : true
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},
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{
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"paramName": "hnn",
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"paramLongName" : "hdfsNameNode",
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"paramDescription" : "the name node",
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"paramRequired" : true
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},
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{
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"paramName": "cfn",
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"paramLongName" : "classForName",
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"paramDescription" : "the name of the class to deserialize the csv to",
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"paramRequired" : true
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}, {
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"paramName": "sn",
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"paramLongName" : "sheetName",
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"paramDescription" : "the name of the sheet in case the file is excel",
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"paramRequired" : false
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}, {
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"paramName": "d",
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"paramLongName" : "delimiter",
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"paramDescription" : "the delimiter between fields in case it is not ;",
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"paramRequired" : false
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}
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]
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@ -76,6 +76,7 @@
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<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
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</kill>
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<action name="ImportCrossRef">
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<java>
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<job-tracker>${jobTracker}</job-tracker>
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@ -122,6 +122,10 @@
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<groupId>org.json4s</groupId>
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<artifactId>json4s-jackson_2.11</artifactId>
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</dependency>
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<dependency>
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<groupId>com.opencsv</groupId>
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<artifactId>opencsv</artifactId>
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</dependency>
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</dependencies>
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@ -0,0 +1,142 @@
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package eu.dnetlib.dhp.oa.graph.hostedbymap
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import eu.dnetlib.dhp.oa.graph.hostedbymap.model.EntityInfo
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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 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.hostedByAggregator)
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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 hostedByAggregator: 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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def resultToSingleIdAggregator: TypedColumn[EntityInfo, EntityInfo] = new Aggregator[EntityInfo, EntityInfo, EntityInfo]{
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override def zero: EntityInfo = EntityInfo.newInstance("","","")
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override def reduce(b: EntityInfo, a:EntityInfo): EntityInfo = {
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return merge(b, a)
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}
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override def merge(b1: EntityInfo, b2: EntityInfo): EntityInfo = {
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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.getHb_id.equals("")){
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b1.setOpenaccess(b1.getOpenaccess || b2.getOpenaccess)
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return b1
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}
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b2.setOpenaccess(b1.getOpenaccess || b2.getOpenaccess)
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b2
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}
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override def finish(reduction: EntityInfo): EntityInfo = reduction
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override def bufferEncoder: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
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override def outputEncoder: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
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}.toColumn
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def resultToSingleId(df:Dataset[EntityInfo]): Dataset[EntityInfo] = {
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val transformedData : Dataset[EntityInfo] = df
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.groupByKey(_.getId)(Encoders.STRING)
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.agg(Aggregators.resultToSingleIdAggregator)
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.map{
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case (id:String , res: EntityInfo) => res
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}(Encoders.bean(classOf[EntityInfo]))
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transformedData
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}
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def datasourceToSingleIdAggregator: TypedColumn[EntityInfo, EntityInfo] = new Aggregator[EntityInfo, EntityInfo, EntityInfo]{
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override def zero: EntityInfo = EntityInfo.newInstance("","","")
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override def reduce(b: EntityInfo, a:EntityInfo): EntityInfo = {
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return merge(b, a)
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}
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override def merge(b1: EntityInfo, b2: EntityInfo): EntityInfo = {
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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.getHb_id.equals("")){
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return b1
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}
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b2
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}
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override def finish(reduction: EntityInfo): EntityInfo = reduction
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override def bufferEncoder: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
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override def outputEncoder: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
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}.toColumn
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def datasourceToSingleId(df:Dataset[EntityInfo]): Dataset[EntityInfo] = {
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val transformedData : Dataset[EntityInfo] = df
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.groupByKey(_.getHb_id)(Encoders.STRING)
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.agg(Aggregators.datasourceToSingleIdAggregator)
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.map{
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case (id:String , res: EntityInfo) => res
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}(Encoders.bean(classOf[EntityInfo]))
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transformedData
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}
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}
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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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|
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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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|
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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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|
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@ -0,0 +1,107 @@
|
|||
|
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package eu.dnetlib.dhp.oa.graph.hostedbymap;
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|
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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;
|
||||
import java.nio.charset.StandardCharsets;
|
||||
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;
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
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;
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import com.opencsv.bean.CsvToBeanBuilder;
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||
|
||||
public class GetCSV {
|
||||
private static final Log log = LogFactory.getLog(eu.dnetlib.dhp.oa.graph.hostedbymap.GetCSV.class);
|
||||
|
||||
public static void main(final String[] args) throws Exception {
|
||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
|
||||
IOUtils
|
||||
.toString(
|
||||
GetCSV.class
|
||||
.getResourceAsStream(
|
||||
"/eu/dnetlib/dhp/oa/graph/hostedbymap/download_csv_parameters.json")));
|
||||
|
||||
parser.parseArgument(args);
|
||||
|
||||
final String fileURL = parser.get("fileURL");
|
||||
final String hdfsPath = parser.get("workingPath");
|
||||
final String hdfsNameNode = parser.get("hdfsNameNode");
|
||||
final String classForName = parser.get("classForName");
|
||||
final Boolean shouldReplace = Optional
|
||||
.ofNullable((parser.get("replace")))
|
||||
.map(Boolean::valueOf)
|
||||
.orElse(false);
|
||||
|
||||
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();
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,68 @@
|
|||
package eu.dnetlib.dhp.oa.graph.hostedbymap
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.oa.graph.hostedbymap.SparkApplyHostedByMapToResult.{applyHBtoPubs, getClass}
|
||||
import eu.dnetlib.dhp.oa.graph.hostedbymap.model.EntityInfo
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants
|
||||
import eu.dnetlib.dhp.schema.oaf.{Datasource, Publication}
|
||||
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}
|
||||
|
||||
object SparkApplyHostedByMapToDatasource {
|
||||
|
||||
def applyHBtoDats(join: Dataset[EntityInfo], dats: Dataset[Datasource]): Dataset[Datasource] = {
|
||||
dats.joinWith(join, dats.col("id").equalTo(join.col("hb_id")), "left")
|
||||
.map(t2 => {
|
||||
val d: Datasource = t2._1
|
||||
if (t2._2 != null) {
|
||||
if (d.getOpenairecompatibility.getClassid.equals(ModelConstants.UNKNOWN)) {
|
||||
d.getOpenairecompatibility.setClassid("hostedBy")
|
||||
d.getOpenairecompatibility.setClassname("collected from a compatible aggregator")
|
||||
}
|
||||
}
|
||||
d
|
||||
})(Encoders.bean((classOf[Datasource])))
|
||||
}
|
||||
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/hostedbymap/hostedby_apply_params.json")))
|
||||
parser.parseArgument(args)
|
||||
val spark: SparkSession =
|
||||
SparkSession
|
||||
.builder()
|
||||
.config(conf)
|
||||
.appName(getClass.getSimpleName)
|
||||
.master(parser.get("master")).getOrCreate()
|
||||
|
||||
|
||||
val graphPath = parser.get("graphPath")
|
||||
|
||||
val outputPath = parser.get("outputPath")
|
||||
val preparedInfoPath = parser.get("preparedInfoPath")
|
||||
|
||||
|
||||
implicit val formats = DefaultFormats
|
||||
|
||||
|
||||
implicit val mapEncoderPubs: Encoder[Datasource] = Encoders.bean(classOf[Datasource])
|
||||
implicit val mapEncoderEinfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
|
||||
val mapper = new ObjectMapper()
|
||||
|
||||
val dats : Dataset[Datasource] = spark.read.textFile(graphPath + "/datasource")
|
||||
.map(r => mapper.readValue(r, classOf[Datasource]))
|
||||
|
||||
val pinfo : Dataset[EntityInfo] = Aggregators.datasourceToSingleId( spark.read.textFile(preparedInfoPath)
|
||||
.map(ei => mapper.readValue(ei, classOf[EntityInfo])))
|
||||
|
||||
applyHBtoDats(pinfo, dats).write.mode(SaveMode.Overwrite).option("compression","gzip").json(outputPath)
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,83 @@
|
|||
package eu.dnetlib.dhp.oa.graph.hostedbymap
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.oa.graph.hostedbymap.model.EntityInfo
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants
|
||||
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils
|
||||
import eu.dnetlib.dhp.schema.oaf.{Datasource, Instance, OpenAccessRoute, Publication}
|
||||
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 scala.collection.JavaConverters._
|
||||
|
||||
|
||||
object SparkApplyHostedByMapToResult {
|
||||
|
||||
def applyHBtoPubs(join: Dataset[EntityInfo], pubs: Dataset[Publication]) = {
|
||||
pubs.joinWith(join, pubs.col("id").equalTo(join.col("id")), "left")
|
||||
.map(t2 => {
|
||||
val p: Publication = t2._1
|
||||
if (t2._2 != null) {
|
||||
val ei: EntityInfo = t2._2
|
||||
val i = p.getInstance().asScala
|
||||
if (i.size == 1) {
|
||||
val inst: Instance = i(0)
|
||||
inst.getHostedby.setKey(ei.getHb_id)
|
||||
inst.getHostedby.setValue(ei.getName)
|
||||
if (ei.getOpenaccess) {
|
||||
inst.setAccessright(OafMapperUtils.accessRight(ModelConstants.ACCESS_RIGHT_OPEN, "Open Access", ModelConstants.DNET_ACCESS_MODES, ModelConstants.DNET_ACCESS_MODES))
|
||||
inst.getAccessright.setOpenAccessRoute(OpenAccessRoute.hybrid)
|
||||
p.setBestaccessright(OafMapperUtils.createBestAccessRights(p.getInstance()));
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
p
|
||||
})(Encoders.bean(classOf[Publication]))
|
||||
}
|
||||
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/hostedbymap/hostedby_apply_params.json")))
|
||||
parser.parseArgument(args)
|
||||
val spark: SparkSession =
|
||||
SparkSession
|
||||
.builder()
|
||||
.config(conf)
|
||||
.appName(getClass.getSimpleName)
|
||||
.master(parser.get("master")).getOrCreate()
|
||||
|
||||
|
||||
val graphPath = parser.get("graphPath")
|
||||
|
||||
val outputPath = parser.get("outputPath")
|
||||
val preparedInfoPath = parser.get("preparedInfoPath")
|
||||
|
||||
|
||||
implicit val formats = DefaultFormats
|
||||
|
||||
|
||||
implicit val mapEncoderPubs: Encoder[Publication] = Encoders.bean(classOf[Publication])
|
||||
implicit val mapEncoderEinfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
|
||||
val mapper = new ObjectMapper()
|
||||
|
||||
val pubs : Dataset[Publication] = spark.read.textFile(graphPath + "/publication")
|
||||
.map(r => mapper.readValue(r, classOf[Publication]))
|
||||
|
||||
val pinfo : Dataset[EntityInfo] = spark.read.textFile(preparedInfoPath)
|
||||
.map(ei => mapper.readValue(ei, classOf[EntityInfo]))
|
||||
|
||||
applyHBtoPubs(pinfo, pubs).write.mode(SaveMode.Overwrite).option("compression","gzip").json(outputPath)
|
||||
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,125 @@
|
|||
package eu.dnetlib.dhp.oa.graph.hostedbymap
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.oa.graph.hostedbymap.model.EntityInfo
|
||||
|
||||
import eu.dnetlib.dhp.schema.oaf.{Journal, Publication}
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.jackson.JsonMethods.parse
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
|
||||
|
||||
object SparkPrepareHostedByInfoToApply {
|
||||
|
||||
implicit val mapEncoderPInfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
|
||||
|
||||
def getList(id: String, j: Journal, name: String ) : List[EntityInfo] = {
|
||||
var lst:List[EntityInfo] = List()
|
||||
|
||||
|
||||
if (j.getIssnLinking != null && !j.getIssnLinking.equals("")){
|
||||
lst = EntityInfo.newInstance(id, j.getIssnLinking, name) :: lst
|
||||
}
|
||||
if (j.getIssnOnline != null && !j.getIssnOnline.equals("")){
|
||||
lst = EntityInfo.newInstance(id, j.getIssnOnline, name) :: lst
|
||||
}
|
||||
if (j.getIssnPrinted != null && !j.getIssnPrinted.equals("")){
|
||||
lst = EntityInfo.newInstance(id, j.getIssnPrinted, name) :: lst
|
||||
}
|
||||
lst
|
||||
}
|
||||
|
||||
def prepareResultInfo(spark:SparkSession, publicationPath:String) : Dataset[EntityInfo] = {
|
||||
implicit val mapEncoderPubs: Encoder[Publication] = Encoders.bean(classOf[Publication])
|
||||
|
||||
val mapper = new ObjectMapper()
|
||||
|
||||
val dd : Dataset[Publication] = spark.read.textFile(publicationPath)
|
||||
.map(r => mapper.readValue(r, classOf[Publication]))
|
||||
|
||||
dd.filter(p => p.getJournal != null ).flatMap(p => getList(p.getId, p.getJournal, ""))
|
||||
|
||||
}
|
||||
|
||||
|
||||
def toEntityInfo(input:String): EntityInfo = {
|
||||
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
|
||||
|
||||
lazy val json: json4s.JValue = parse(input)
|
||||
val c :Map[String,HostedByItemType] = json.extract[Map[String, HostedByItemType]]
|
||||
toEntityItem(c.keys.head, c.values.head)
|
||||
}
|
||||
|
||||
|
||||
def toEntityItem(journal_id: String , hbi: HostedByItemType): EntityInfo = {
|
||||
|
||||
EntityInfo.newInstance(hbi.id, journal_id, hbi.officialname, hbi.openAccess)
|
||||
|
||||
}
|
||||
|
||||
def joinResHBM(res: Dataset[EntityInfo], hbm: Dataset[EntityInfo]): Dataset[EntityInfo] = {
|
||||
Aggregators.resultToSingleId(res.joinWith(hbm, res.col("journal_id").equalTo(hbm.col("journal_id")), "left")
|
||||
.map(t2 => {
|
||||
val res: EntityInfo = t2._1
|
||||
if(t2._2 != null ){
|
||||
val ds = t2._2
|
||||
res.setHb_id(ds.getId)
|
||||
res.setOpenaccess(ds.getOpenaccess)
|
||||
res.setName(ds.getName)
|
||||
}
|
||||
res
|
||||
}))
|
||||
}
|
||||
|
||||
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/hostedbymap/hostedby_prepare_params.json")))
|
||||
parser.parseArgument(args)
|
||||
val spark: SparkSession =
|
||||
SparkSession
|
||||
.builder()
|
||||
.config(conf)
|
||||
.appName(getClass.getSimpleName)
|
||||
.master(parser.get("master")).getOrCreate()
|
||||
|
||||
|
||||
val graphPath = parser.get("graphPath")
|
||||
|
||||
val outputPath = parser.get("preparedInfoPath")
|
||||
val hostedByMapPath = parser.get("hostedByMapPath")
|
||||
|
||||
|
||||
implicit val formats = DefaultFormats
|
||||
|
||||
|
||||
logger.info("Getting the Datasources")
|
||||
|
||||
import spark.implicits._
|
||||
|
||||
|
||||
//STEP1: read the hostedbymap and transform it in EntityInfo
|
||||
val hostedByInfo:Dataset[EntityInfo] = spark.createDataset(spark.sparkContext.textFile(hostedByMapPath)).map(toEntityInfo)
|
||||
|
||||
//STEP2: create association (publication, issn), (publication, eissn), (publication, lissn)
|
||||
val resultInfoDataset:Dataset[EntityInfo] = prepareResultInfo(spark, graphPath + "/publication")
|
||||
|
||||
//STEP3: left join resultInfo with hostedByInfo on journal_id. Reduction of all the results with the same id in just
|
||||
//one entry (one result could be associated to issn and eissn and so possivly matching more than once against the map)
|
||||
//to this entry we add the id of the datasource for the next step
|
||||
joinResHBM(resultInfoDataset, hostedByInfo)
|
||||
.write.mode(SaveMode.Overwrite).option("compression", "gzip").json(outputPath)
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,222 @@
|
|||
package eu.dnetlib.dhp.oa.graph.hostedbymap
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
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
|
||||
|
||||
import org.apache.hadoop.io.compress.GzipCodec
|
||||
|
||||
|
||||
object SparkProduceHostedByMap {
|
||||
|
||||
|
||||
implicit val tupleForJoinEncoder: Encoder[(String, HostedByItemType)] = Encoders.tuple(Encoders.STRING, Encoders.product[HostedByItemType])
|
||||
|
||||
|
||||
def toHostedByItemType(input: ((HostedByInfo, HostedByInfo), HostedByInfo)) : HostedByItemType = {
|
||||
val openaire: HostedByInfo = input._1._1
|
||||
val doaj: HostedByInfo = input._1._2
|
||||
val gold: HostedByInfo = input._2
|
||||
val isOpenAccess: Boolean = doaj == null && gold == null
|
||||
|
||||
openaire.journal_id match {
|
||||
case Constants.ISSN => HostedByItemType(openaire.id, openaire.officialname, openaire.journal_id, "", "", isOpenAccess)
|
||||
case Constants.EISSN => HostedByItemType(openaire.id, openaire.officialname, "", openaire.journal_id, "", isOpenAccess)
|
||||
case Constants.ISSNL => HostedByItemType(openaire.id, openaire.officialname, "", "", openaire.journal_id, isOpenAccess)
|
||||
|
||||
// catch the default with a variable so you can print it
|
||||
case whoa => null
|
||||
}
|
||||
}
|
||||
|
||||
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 getHostedByItemType(id:String, officialname: String, issn:String, eissn:String, issnl:String, oa:Boolean): HostedByItemType = {
|
||||
if(issn != null){
|
||||
if(eissn != null){
|
||||
if(issnl != null){
|
||||
HostedByItemType(id, officialname, issn, eissn, issnl , oa)
|
||||
}else{
|
||||
HostedByItemType(id, officialname, issn, eissn, "" , oa)
|
||||
}
|
||||
}else{
|
||||
if(issnl != null){
|
||||
HostedByItemType(id, officialname, issn, "", issnl , oa)
|
||||
}else{
|
||||
HostedByItemType(id, officialname, issn, "", "" , oa)
|
||||
}
|
||||
}
|
||||
}else{
|
||||
if(eissn != null){
|
||||
if(issnl != null){
|
||||
HostedByItemType(id, officialname, "", eissn, issnl , oa)
|
||||
}else{
|
||||
HostedByItemType(id, officialname, "", eissn, "" , oa)
|
||||
}
|
||||
}else{
|
||||
if(issnl != null){
|
||||
HostedByItemType(id, officialname, "", "", issnl , oa)
|
||||
}else{
|
||||
HostedByItemType("", "", "", "", "" , oa)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
def oaToHostedbyItemType(dats: Datasource): HostedByItemType = {
|
||||
if (dats.getJournal != null) {
|
||||
|
||||
return getHostedByItemType(dats.getId, dats.getOfficialname.getValue, dats.getJournal.getIssnPrinted, dats.getJournal.getIssnOnline, dats.getJournal.getIssnLinking, false)
|
||||
}
|
||||
HostedByItemType("","","","","",false)
|
||||
}
|
||||
|
||||
def oaHostedByDataset(spark:SparkSession, datasourcePath : String) : Dataset[HostedByItemType] = {
|
||||
|
||||
import spark.implicits._
|
||||
|
||||
|
||||
val mapper = new ObjectMapper()
|
||||
|
||||
implicit var encoderD = Encoders.kryo[Datasource]
|
||||
|
||||
val dd : Dataset[Datasource] = spark.read.textFile(datasourcePath)
|
||||
.map(r => mapper.readValue(r, classOf[Datasource]))
|
||||
|
||||
dd.map{ddt => oaToHostedbyItemType(ddt)}.filter(hb => !(hb.id.equals("")))
|
||||
|
||||
}
|
||||
|
||||
|
||||
def goldToHostedbyItemType(gold: UnibiGoldModel): HostedByItemType = {
|
||||
return getHostedByItemType(Constants.UNIBI, gold.getTitle, gold.getIssn, "", gold.getIssn_l, true)
|
||||
}
|
||||
|
||||
|
||||
def goldHostedByDataset(spark:SparkSession, datasourcePath:String) : Dataset[HostedByItemType] = {
|
||||
import spark.implicits._
|
||||
|
||||
implicit val mapEncoderUnibi: Encoder[UnibiGoldModel] = Encoders.kryo[UnibiGoldModel]
|
||||
|
||||
val mapper = new ObjectMapper()
|
||||
|
||||
val dd : Dataset[UnibiGoldModel] = spark.read.textFile(datasourcePath)
|
||||
.map(r => mapper.readValue(r, classOf[UnibiGoldModel]))
|
||||
|
||||
dd.map{ddt => goldToHostedbyItemType(ddt)}.filter(hb => !(hb.id.equals("")))
|
||||
|
||||
}
|
||||
|
||||
def doajToHostedbyItemType(doaj: DOAJModel): HostedByItemType = {
|
||||
|
||||
return getHostedByItemType(Constants.DOAJ, doaj.getJournalTitle, doaj.getIssn, doaj.getEissn, "", true)
|
||||
}
|
||||
|
||||
def doajHostedByDataset(spark:SparkSession, datasourcePath:String) : Dataset[HostedByItemType] = {
|
||||
import spark.implicits._
|
||||
|
||||
implicit val mapEncoderDOAJ: Encoder[DOAJModel] = Encoders.kryo[DOAJModel]
|
||||
|
||||
val mapper = new ObjectMapper()
|
||||
|
||||
val dd : Dataset[DOAJModel] = spark.read.textFile(datasourcePath)
|
||||
.map(r => mapper.readValue(r, classOf[DOAJModel]))
|
||||
|
||||
dd.map{ddt => doajToHostedbyItemType(ddt)}.filter(hb => !(hb.id.equals("")))
|
||||
|
||||
}
|
||||
|
||||
def toList(input: HostedByItemType): List[(String, HostedByItemType)] = {
|
||||
var lst : List[(String, HostedByItemType)] = List()
|
||||
if(!input.issn.equals("")){
|
||||
lst = (input.issn, input) :: lst
|
||||
}
|
||||
if(!input.eissn.equals("")){
|
||||
lst = (input.eissn, input) :: lst
|
||||
}
|
||||
if(!input.lissn.equals("")){
|
||||
lst = (input.lissn, input) :: lst
|
||||
}
|
||||
lst
|
||||
}
|
||||
|
||||
|
||||
|
||||
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/hostedbymap/hostedby_params.json")))
|
||||
parser.parseArgument(args)
|
||||
val spark: SparkSession =
|
||||
SparkSession
|
||||
.builder()
|
||||
.config(conf)
|
||||
.appName(getClass.getSimpleName)
|
||||
.master(parser.get("master")).getOrCreate()
|
||||
|
||||
|
||||
val datasourcePath = parser.get("datasourcePath")
|
||||
val workingDirPath = parser.get("workingPath")
|
||||
val outputPath = parser.get("outputPath")
|
||||
|
||||
|
||||
implicit val formats = DefaultFormats
|
||||
|
||||
|
||||
logger.info("Getting the Datasources")
|
||||
|
||||
|
||||
Aggregators.explodeHostedByItemType(oaHostedByDataset(spark, datasourcePath)
|
||||
.union(goldHostedByDataset(spark, workingDirPath + "/unibi_gold"))
|
||||
.union(doajHostedByDataset(spark, workingDirPath + "/doaj"))
|
||||
.flatMap(hbi => toList(hbi))).filter(hbi => hbi._2.id.startsWith("10|"))
|
||||
.map(hbi => toHostedByMap(hbi))(Encoders.STRING)
|
||||
.rdd.saveAsTextFile(outputPath , classOf[GzipCodec])
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
|
@ -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 +1,68 @@
|
|||
|
||||
package eu.dnetlib.dhp.oa.graph.hostedbymap.model;
|
||||
|
||||
import java.io.Serializable;
|
||||
|
||||
public class EntityInfo implements Serializable {
|
||||
private String id;
|
||||
private String journal_id;
|
||||
private String name;
|
||||
private Boolean openaccess;
|
||||
private String hb_id;
|
||||
|
||||
public String getId() {
|
||||
return id;
|
||||
}
|
||||
|
||||
public void setId(String id) {
|
||||
this.id = id;
|
||||
}
|
||||
|
||||
public String getJournal_id() {
|
||||
return journal_id;
|
||||
}
|
||||
|
||||
public void setJournal_id(String journal_id) {
|
||||
this.journal_id = journal_id;
|
||||
}
|
||||
|
||||
public String getName() {
|
||||
return name;
|
||||
}
|
||||
|
||||
public void setName(String name) {
|
||||
this.name = name;
|
||||
}
|
||||
|
||||
public Boolean getOpenaccess() {
|
||||
return openaccess;
|
||||
}
|
||||
|
||||
public void setOpenaccess(Boolean openaccess) {
|
||||
this.openaccess = openaccess;
|
||||
}
|
||||
|
||||
public String getHb_id() {
|
||||
return hb_id;
|
||||
}
|
||||
|
||||
public void setHb_id(String hb_id) {
|
||||
this.hb_id = hb_id;
|
||||
}
|
||||
|
||||
public static EntityInfo newInstance(String id, String j_id, String name) {
|
||||
return newInstance(id, j_id, name, false);
|
||||
|
||||
}
|
||||
|
||||
public static EntityInfo newInstance(String id, String j_id, String name, Boolean openaccess) {
|
||||
EntityInfo pi = new EntityInfo();
|
||||
pi.id = id;
|
||||
pi.journal_id = j_id;
|
||||
pi.name = name;
|
||||
pi.openaccess = openaccess;
|
||||
pi.hb_id = "";
|
||||
return pi;
|
||||
|
||||
}
|
||||
}
|
||||
|
|
@ -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 +1,36 @@
|
|||
|
||||
[
|
||||
|
||||
{
|
||||
"paramName":"pip",
|
||||
"paramLongName":"preparedInfoPath",
|
||||
"paramDescription": "the path where to find the pre-processed data for unibi gold list and doj artciles",
|
||||
"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
|
||||
},
|
||||
|
||||
{
|
||||
"paramName": "gp",
|
||||
"paramLongName": "graphPath",
|
||||
"paramDescription": "true if the spark session is managed, false otherwise",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "out",
|
||||
"paramLongName": "outputPath",
|
||||
"paramDescription": "true if the spark session is managed, false otherwise",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
||||
|
|
@ -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 +1,37 @@
|
|||
|
||||
[
|
||||
|
||||
{
|
||||
"paramName":"hbmp",
|
||||
"paramLongName":"hostedByMapPath",
|
||||
"paramDescription": "the path to the datasource ",
|
||||
"paramRequired": true
|
||||
},
|
||||
|
||||
{
|
||||
"paramName":"pip",
|
||||
"paramLongName":"preparedInfoPath",
|
||||
"paramDescription": "the path where to find the pre-processed data for unibi gold list and doj artciles",
|
||||
"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
|
||||
},
|
||||
|
||||
{
|
||||
"paramName": "gp",
|
||||
"paramLongName": "graphPath",
|
||||
"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 +1,238 @@
|
|||
<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>hostedByMapPath</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>${oozieActionShareLibForSpark2}</value>
|
||||
</property>
|
||||
|
||||
</configuration>
|
||||
</global>
|
||||
|
||||
<start to="resume_from"/>
|
||||
|
||||
<decision name="resume_from">
|
||||
<switch>
|
||||
<case to="remove_hbmpath">${wf:conf('resumeFrom') eq 'ProduceHBM'}</case>
|
||||
<default to="prepareInfo"/>
|
||||
</switch>
|
||||
</decision>
|
||||
|
||||
|
||||
<kill name="Kill">
|
||||
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||
</kill>
|
||||
|
||||
<action name="remove_hbmpath">
|
||||
<fs>
|
||||
<delete path="${hostedByMapPath}"/>
|
||||
<!-- <mkdir path="${hostedByMapPath}"/>-->
|
||||
</fs>
|
||||
<ok to="fork_downloads_csv"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
|
||||
<fork name="fork_downloads_csv">
|
||||
<path start="download_gold"/>
|
||||
<path start="download_doaj"/>
|
||||
</fork>
|
||||
|
||||
<action name="download_gold">
|
||||
<java>
|
||||
<main-class>eu.dnetlib.dhp.oa.graph.hostedbymap.GetCSV</main-class>
|
||||
<arg>--hdfsNameNode</arg><arg>${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>${workingDir}</arg>
|
||||
<arg>--outputPath</arg><arg>${hostedByMapPath}</arg>
|
||||
<arg>--master</arg><arg>yarn-cluster</arg>
|
||||
</spark>
|
||||
<ok to="prepareInfo"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="prepareInfo">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn-cluster</master>
|
||||
<name>Prepare info to apply the hbm</name>
|
||||
<class>eu.dnetlib.dhp.oa.graph.hostedbymap.SparkPrepareHostedByInfoToApply</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>--hostedByMapPath</arg><arg>${hostedByMapPath}</arg>
|
||||
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
|
||||
<arg>--graphPath</arg><arg>${sourcePath}</arg>
|
||||
<arg>--master</arg><arg>yarn-cluster</arg>
|
||||
</spark>
|
||||
<ok to="fork_apply"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<fork name="fork_apply">
|
||||
<path start="apply_result"/>
|
||||
<path start="apply_datasource"/>
|
||||
</fork>
|
||||
|
||||
<action name="apply_result">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn-cluster</master>
|
||||
<name>Apply hbm to result</name>
|
||||
<class>eu.dnetlib.dhp.oa.graph.hostedbymap.SparkApplyHostedByMapToResult</class>
|
||||
<jar>dhp-graph-mapper-${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=${sparkSqlWarehouseDir}
|
||||
</spark-opts>
|
||||
<arg>--outputPath</arg><arg>${outputPath}/publication</arg>
|
||||
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
|
||||
<arg>--graphPath</arg><arg>${sourcePath}</arg>
|
||||
<arg>--master</arg><arg>yarn-cluster</arg>
|
||||
</spark>
|
||||
<ok to="join_apply"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="apply_datasource">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn-cluster</master>
|
||||
<name>Apply hbm to datasource</name>
|
||||
<class>eu.dnetlib.dhp.oa.graph.hostedbymap.SparkApplyHostedByMapToDatasource</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>--outputPath</arg><arg>${outputPath}/datasource</arg>
|
||||
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
|
||||
<arg>--graphPath</arg><arg>${sourcePath}</arg>
|
||||
<arg>--master</arg><arg>yarn-cluster</arg>
|
||||
</spark>
|
||||
<ok to="join_apply"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<join name="join_apply" to="End"/>
|
||||
|
||||
|
||||
<end name="End"/>
|
||||
|
||||
</workflow-app>
|
||||
|
|
@ -0,0 +1,138 @@
|
|||
package eu.dnetlib.dhp.oa.graph.hostedbymap
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.oa.graph.hostedbymap.model.EntityInfo
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants
|
||||
import eu.dnetlib.dhp.schema.oaf.{Datasource, OpenAccessRoute, Publication}
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SparkSession}
|
||||
import org.junit.jupiter.api.Assertions.{assertEquals, assertTrue}
|
||||
import org.junit.jupiter.api.Test
|
||||
|
||||
class TestApply extends java.io.Serializable{
|
||||
|
||||
@Test
|
||||
def testApplyOnResult (): 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 pub = getClass.getResource("publication.json").getPath
|
||||
val hbm = getClass.getResource("preparedInfo.json").getPath
|
||||
|
||||
val mapper:ObjectMapper = new ObjectMapper()
|
||||
|
||||
implicit val mapEncoderDSInfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
|
||||
implicit val mapEncoderPubInfo: Encoder[Publication] = Encoders.bean(classOf[Publication])
|
||||
|
||||
|
||||
val pub_ds :Dataset[Publication] = spark.read.textFile(pub).map(p => mapper.readValue(p, classOf[Publication]))
|
||||
val hbm_ds :Dataset[EntityInfo] = spark.read.textFile(hbm).map(p => mapper.readValue(p, classOf[EntityInfo]))
|
||||
|
||||
|
||||
assertEquals(13, pub_ds.count())
|
||||
|
||||
val ds:Dataset[Publication] = SparkApplyHostedByMapToResult.applyHBtoPubs(hbm_ds, pub_ds)
|
||||
|
||||
assertEquals(13, ds.count)
|
||||
|
||||
val temp: Dataset[(Publication, Publication)] = pub_ds.joinWith(ds, pub_ds.col("id").equalTo(ds.col("id")), "left")
|
||||
assertEquals(13, temp.count())
|
||||
temp.foreach(t2 => {
|
||||
val pb : Publication = t2._1
|
||||
val pa : Publication = t2._2
|
||||
assertEquals(1, pa.getInstance().size())
|
||||
assertEquals(1, pb.getInstance().size())
|
||||
assertTrue(t2._1.getId.equals(t2._2.getId))
|
||||
if(pb.getId.equals("50|4dc99724cf04::ed1ba83e1add6ce292433729acd8b0d9")){
|
||||
assertTrue(pa.getInstance().get(0).getHostedby.getKey.equals("10|issn___print::e4b6d6d978f67520f6f37679a98c5735"))
|
||||
assertTrue(pa.getInstance().get(0).getHostedby.getValue.equals("Academic Therapy"))
|
||||
assertTrue(pa.getInstance().get(0).getAccessright.getClassid.equals("OPEN"))
|
||||
assertTrue(pa.getInstance().get(0).getAccessright.getClassname.equals("Open Access"))
|
||||
assertTrue(pa.getInstance().get(0).getAccessright.getOpenAccessRoute.equals(OpenAccessRoute.hybrid))
|
||||
assertTrue(pa.getBestaccessright.getClassid.equals("OPEN"))
|
||||
assertTrue(pa.getBestaccessright.getClassname.equals("Open Access"))
|
||||
|
||||
|
||||
assertTrue(pb.getInstance().get(0).getHostedby.getKey.equals("10|openaire____::0b74b6a356bbf23c245f9ae9a748745c"))
|
||||
assertTrue(pb.getInstance().get(0).getHostedby.getValue.equals("Revistas de investigación Universidad Nacional Mayor de San Marcos"))
|
||||
assertTrue(pb.getInstance().get(0).getAccessright.getClassname.equals("not available"))
|
||||
assertTrue(pb.getInstance().get(0).getAccessright.getClassid.equals("UNKNOWN"))
|
||||
assertTrue(pb.getInstance().get(0).getAccessright.getOpenAccessRoute == null)
|
||||
assertTrue(pb.getBestaccessright.getClassid.equals("UNKNOWN"))
|
||||
assertTrue(pb.getBestaccessright.getClassname.equals("not available"))
|
||||
|
||||
}else{
|
||||
assertTrue(pa.getInstance().get(0).getHostedby.getKey.equals(pb.getInstance().get(0).getHostedby.getKey))
|
||||
assertTrue(pa.getInstance().get(0).getHostedby.getValue.equals(pb.getInstance().get(0).getHostedby.getValue))
|
||||
assertTrue(pa.getInstance().get(0).getAccessright.getClassid.equals(pb.getInstance().get(0).getAccessright.getClassid))
|
||||
assertTrue(pa.getInstance().get(0).getAccessright.getClassname.equals(pb.getInstance().get(0).getAccessright.getClassname))
|
||||
assertTrue(pa.getInstance().get(0).getAccessright.getOpenAccessRoute == pb.getInstance().get(0).getAccessright.getOpenAccessRoute)
|
||||
|
||||
}
|
||||
})
|
||||
|
||||
spark.close()
|
||||
}
|
||||
|
||||
|
||||
@Test
|
||||
def testApplyOnDatasource():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 dats = getClass.getResource("datasource.json").getPath
|
||||
val hbm = getClass.getResource("preparedInfo2.json").getPath
|
||||
|
||||
val mapper:ObjectMapper = new ObjectMapper()
|
||||
|
||||
implicit val mapEncoderDSInfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
|
||||
implicit val mapEncoderPubInfo: Encoder[Datasource] = Encoders.bean(classOf[Datasource])
|
||||
|
||||
|
||||
val dats_ds :Dataset[Datasource] = spark.read.textFile(dats).map(p => mapper.readValue(p, classOf[Datasource]))
|
||||
val hbm_ds :Dataset[EntityInfo] = Aggregators.datasourceToSingleId(spark.read.textFile(hbm).map(p => mapper.readValue(p, classOf[EntityInfo])))
|
||||
|
||||
|
||||
assertEquals(10, dats_ds.count())
|
||||
|
||||
val ds:Dataset[Datasource] = SparkApplyHostedByMapToDatasource.applyHBtoDats(hbm_ds, dats_ds)
|
||||
|
||||
assertEquals(10, ds.count)
|
||||
|
||||
val temp: Dataset[(Datasource, Datasource)] = dats_ds.joinWith(ds, dats_ds.col("id").equalTo(ds.col("id")), "left")
|
||||
assertEquals(10, temp.count())
|
||||
temp.foreach(t2 => {
|
||||
val pb : Datasource = t2._1
|
||||
val pa : Datasource = t2._2
|
||||
assertTrue(t2._1.getId.equals(t2._2.getId))
|
||||
if(pb.getId.equals("10|doajarticles::0ab37b7620eb9a73ac95d3ca4320c97d")){
|
||||
assertTrue(pa.getOpenairecompatibility().getClassid.equals("hostedBy"))
|
||||
assertTrue(pa.getOpenairecompatibility().getClassname.equals("collected from a compatible aggregator"))
|
||||
|
||||
assertTrue(pb.getOpenairecompatibility().getClassid.equals(ModelConstants.UNKNOWN))
|
||||
|
||||
|
||||
}else{
|
||||
assertTrue(pa.getOpenairecompatibility().getClassid.equals(pb.getOpenairecompatibility.getClassid))
|
||||
assertTrue(pa.getOpenairecompatibility().getClassname.equals(pb.getOpenairecompatibility.getClassname))
|
||||
|
||||
}
|
||||
})
|
||||
|
||||
spark.close()
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,159 @@
|
|||
package eu.dnetlib.dhp.oa.graph.hostedbymap
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.oa.graph.hostedbymap.SparkPrepareHostedByInfoToApply.{joinResHBM, prepareResultInfo, toEntityInfo}
|
||||
import eu.dnetlib.dhp.oa.graph.hostedbymap.model.EntityInfo
|
||||
import eu.dnetlib.dhp.schema.oaf.{Datasource, OpenAccessRoute, Publication}
|
||||
import javax.management.openmbean.OpenMBeanAttributeInfo
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SparkSession}
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants
|
||||
import org.junit.jupiter.api.Assertions.{assertEquals, assertTrue}
|
||||
import org.junit.jupiter.api.Test
|
||||
|
||||
class TestPrepare extends java.io.Serializable{
|
||||
|
||||
def getString(input:HostedByItemType):String = {
|
||||
|
||||
import org.json4s.jackson.Serialization.write
|
||||
implicit val formats = DefaultFormats
|
||||
|
||||
write(input)
|
||||
}
|
||||
|
||||
|
||||
@Test
|
||||
def testHostedByMaptoEntityInfo() : 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 hbm = getClass.getResource("hostedbymap.json").getPath
|
||||
|
||||
|
||||
import spark.implicits._
|
||||
|
||||
val mapper:ObjectMapper = new ObjectMapper()
|
||||
|
||||
implicit val mapEncoderDSInfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
|
||||
|
||||
val ds :Dataset[EntityInfo] = spark.createDataset(spark.sparkContext.textFile(hbm)).map(toEntityInfo)
|
||||
|
||||
ds.foreach(e => println(mapper.writeValueAsString(e)))
|
||||
|
||||
assertEquals(20, ds.count)
|
||||
spark.close()
|
||||
}
|
||||
|
||||
@Test
|
||||
def testPublicationtoEntityInfo() : 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 path = getClass.getResource("publication.json").getPath
|
||||
|
||||
val mapper:ObjectMapper = new ObjectMapper()
|
||||
|
||||
implicit val mapEncoderDSInfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
|
||||
|
||||
val ds :Dataset[EntityInfo] = prepareResultInfo(spark, path)
|
||||
|
||||
ds.foreach(e => println(mapper.writeValueAsString(e)))
|
||||
|
||||
assertEquals(2, ds.count)
|
||||
|
||||
assertEquals("50|4dc99724cf04::ed1ba83e1add6ce292433729acd8b0d9", ds.filter(ei => ei.getJournal_id.equals("1728-5852")).first().getId)
|
||||
assertEquals("50|4dc99724cf04::ed1ba83e1add6ce292433729acd8b0d9", ds.filter(ei => ei.getJournal_id.equals("0001-396X")).first().getId)
|
||||
|
||||
spark.close()
|
||||
}
|
||||
|
||||
@Test
|
||||
def testJoinResHBM (): 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 pub = getClass.getResource("iteminfofrompublication").getPath
|
||||
val hbm = getClass.getResource("iteminfofromhostedbymap.json").getPath
|
||||
|
||||
val mapper:ObjectMapper = new ObjectMapper()
|
||||
|
||||
implicit val mapEncoderDSInfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
|
||||
|
||||
val pub_ds :Dataset[EntityInfo] = spark.read.textFile(pub).map(p => mapper.readValue(p, classOf[EntityInfo]))
|
||||
val hbm_ds :Dataset[EntityInfo] = spark.read.textFile(hbm).map(p => mapper.readValue(p, classOf[EntityInfo]))
|
||||
|
||||
val ds: Dataset[EntityInfo] = joinResHBM(pub_ds, hbm_ds)
|
||||
|
||||
assertEquals(1, ds.count)
|
||||
|
||||
val ei:EntityInfo = ds.first()
|
||||
|
||||
assertEquals("50|4dc99724cf04::ed1ba83e1add6ce292433729acd8b0d9", ei.getId)
|
||||
assertEquals("10|issn___print::e4b6d6d978f67520f6f37679a98c5735", ei.getHb_id)
|
||||
assertEquals("0001-396X", ei.getJournal_id)
|
||||
assertEquals("Academic Therapy", ei.getName)
|
||||
assertTrue(!ei.getOpenaccess)
|
||||
|
||||
spark.close()
|
||||
}
|
||||
|
||||
@Test
|
||||
def testJoinResHBM2 (): 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 pub = getClass.getResource("iteminfofrompublication2").getPath
|
||||
val hbm = getClass.getResource("iteminfofromhostedbymap2.json").getPath
|
||||
|
||||
val mapper:ObjectMapper = new ObjectMapper()
|
||||
|
||||
implicit val mapEncoderDSInfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
|
||||
|
||||
val pub_ds :Dataset[EntityInfo] = spark.read.textFile(pub).map(p => mapper.readValue(p, classOf[EntityInfo]))
|
||||
val hbm_ds :Dataset[EntityInfo] = spark.read.textFile(hbm).map(p => mapper.readValue(p, classOf[EntityInfo]))
|
||||
|
||||
val ds: Dataset[EntityInfo] = joinResHBM(pub_ds, hbm_ds)
|
||||
|
||||
assertEquals(1, ds.count)
|
||||
|
||||
val ei:EntityInfo = ds.first()
|
||||
|
||||
assertEquals("50|4dc99724cf04::ed1ba83e1add6ce292433729acd8b0d9", ei.getId)
|
||||
assertEquals("10|issn___print::e4b6d6d978f67520f6f37679a98c5735", ei.getHb_id)
|
||||
assertEquals("Academic Therapy", ei.getName)
|
||||
assertTrue(ei.getOpenaccess)
|
||||
|
||||
ds.foreach(e => println(mapper.writeValueAsString(e)))
|
||||
|
||||
spark.close()
|
||||
}
|
||||
|
||||
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,171 @@
|
|||
package eu.dnetlib.dhp.oa.graph.hostedbymap
|
||||
|
||||
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.junit.jupiter.api.Assertions._
|
||||
import org.json4s.jackson.Serialization.write
|
||||
|
||||
class TestPreprocess extends java.io.Serializable{
|
||||
|
||||
implicit val mapEncoderDats: Encoder[Datasource] = Encoders.kryo[Datasource]
|
||||
implicit val schema = Encoders.product[HostedByInfo]
|
||||
|
||||
|
||||
def toHBIString (hbi:HostedByItemType): String = {
|
||||
implicit val formats = DefaultFormats
|
||||
|
||||
write(hbi)
|
||||
}
|
||||
|
||||
@Test
|
||||
def readDatasource():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 path = getClass.getResource("datasource.json").getPath
|
||||
|
||||
val ds :Dataset[HostedByItemType]= SparkProduceHostedByMap.oaHostedByDataset(spark, path)
|
||||
|
||||
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 = {
|
||||
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 path = getClass.getResource("unibi_transformed.json").getPath
|
||||
|
||||
|
||||
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 = {
|
||||
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 path = getClass.getResource("doaj_transformed.json").getPath
|
||||
|
||||
val ds :Dataset[HostedByItemType]= SparkProduceHostedByMap.doajHostedByDataset(spark, path)
|
||||
|
||||
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()
|
||||
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,112 @@
|
|||
|
||||
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.Assertions;
|
||||
import org.junit.jupiter.api.Disabled;
|
||||
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.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();
|
||||
|
||||
List<UnibiGoldModel> beans = new CsvToBeanBuilder(new FileReader(sourcePath))
|
||||
.withType(UnibiGoldModel.class)
|
||||
.build()
|
||||
.parse();
|
||||
|
||||
Assertions.assertEquals(36, beans.size());
|
||||
Assertions.assertEquals(1, beans.stream().filter(e -> e.getIssn().equals("0001-625X")).count());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
beans
|
||||
.stream()
|
||||
.anyMatch(e -> e.getIssn().equals("0001-625X") && e.getTitle().equals("Acta Mycologica")));
|
||||
Assertions.assertTrue(beans.stream().allMatch(e -> e.getIssn().equals(e.getIssn_l())));
|
||||
|
||||
}
|
||||
|
||||
@Disabled
|
||||
@Test
|
||||
public void testCSVUrlUnibi() throws IOException {
|
||||
|
||||
URL csv = new URL("https://pub.uni-bielefeld.de/download/2944717/2944718/issn_gold_oa_version_4.csv");
|
||||
|
||||
BufferedReader in = new BufferedReader(new InputStreamReader(csv.openStream()));
|
||||
ObjectMapper mapper = new ObjectMapper();
|
||||
|
||||
new CsvToBeanBuilder(in)
|
||||
.withType(eu.dnetlib.dhp.oa.graph.hostedbymap.model.UnibiGoldModel.class)
|
||||
.build()
|
||||
.parse()
|
||||
.forEach(line ->
|
||||
|
||||
{
|
||||
try {
|
||||
System.out.println(mapper.writeValueAsString(line));
|
||||
} catch (JsonProcessingException e) {
|
||||
e.printStackTrace();
|
||||
}
|
||||
}
|
||||
|
||||
);
|
||||
}
|
||||
|
||||
@Disabled
|
||||
@Test
|
||||
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.connect();
|
||||
|
||||
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;
|
||||
while ((line = in.readLine()) != null) {
|
||||
writer.println(line.replace("\\\"", "\""));
|
||||
}
|
||||
writer.close();
|
||||
in.close();
|
||||
in = new BufferedReader(new FileReader("/tmp/DOAJ_1.csv"));
|
||||
ObjectMapper mapper = new ObjectMapper();
|
||||
|
||||
new CsvToBeanBuilder(in)
|
||||
.withType(eu.dnetlib.dhp.oa.graph.hostedbymap.model.DOAJModel.class)
|
||||
.withMultilineLimit(1)
|
||||
.build()
|
||||
.parse()
|
||||
.forEach(lline ->
|
||||
|
||||
{
|
||||
try {
|
||||
System.out.println(mapper.writeValueAsString(lline));
|
||||
} catch (JsonProcessingException e) {
|
||||
e.printStackTrace();
|
||||
}
|
||||
}
|
||||
|
||||
);
|
||||
}
|
||||
}
|
||||
File diff suppressed because one or more lines are too long
|
|
@ -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 +1,9 @@
|
|||
{"id":"10|doajarticles::4f8b4cf7460320c0a80b6c6b64b3260f","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":"2077-3757","eissn":"","lissn":"","openAccess":false}
|
||||
{"id":"10|issn___print::4b5605a395a243e12c95c1ecb8365107","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::1aea1dc1fbc3153111099750884dc4e8","officialname":"Bulletin of the British Mycological Society","issn":"0007-1528","eissn":"","lissn":"","openAccess":false}
|
||||
{"id":"10|issn___print::853ec7c7322ab252e0eca4d2840e7bd0","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}
|
||||
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"0003-424X","0003-424X",0,1,0,0,1,0,0,1,0,0,1,0,"Annales de zootechnie.","ROAD"
|
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"0003-4827","0003-4827",0,1,0,0,0,1,0,1,0,0,0,1,"Annals of Iowa.","ROAD"
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"0004-0592","0004-0592",1,1,0,0,1,1,1,1,0,0,1,1,"Archivos de Zootecnia","DOAJ"
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"0004-282X","0004-282X",1,1,0,0,1,1,1,1,0,0,1,1,"Arquivos de Neuro-Psiquiatria","DOAJ"
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"0006-3096","0006-3096",0,1,0,0,0,0,0,1,0,0,0,0,"Biologia.","ROAD"
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"0006-8705","0006-8705",1,1,0,0,1,1,1,1,0,0,1,1,"Bragantia","DOAJ"
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"0007-5124","0007-5124",0,1,0,0,1,0,0,1,1,0,1,1,"Experimental animals.","ROAD"
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"0007-9502","0007-9502",0,1,0,0,0,0,0,1,0,0,0,0,"Caesaraugusta.","ROAD"
|
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"0008-7386","0008-7386",1,1,0,0,0,1,1,1,0,0,0,1,"Časopis pro Moderní Filologii","DOAJ"
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"0008-7629","0008-7629",1,0,0,0,0,0,1,0,0,0,0,0,"Catalogue and Index","DOAJ"
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"0015-573X","0015-573X",0,1,0,0,0,0,0,1,0,0,0,0,"Folia quaternaria.","ROAD"
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"0016-6987","0016-6987",1,0,0,0,1,1,1,0,0,0,1,1,"Genus","DOAJ"
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"0016-7789","0016-7789",1,1,0,0,0,1,1,1,0,0,0,1,"Geologija ","DOAJ"
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"0021-5007","0021-5007",0,1,0,0,0,1,0,1,0,0,0,1,"Nihon Seitai Gakkaishi.","ROAD"
|
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"0023-4001","0023-4001",0,1,0,0,1,1,0,1,0,0,1,1,"Korean Journal of Parasitology","ROAD"
|
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"0023-5415","0023-5415",1,1,0,0,0,0,1,1,0,0,0,0,"Kunst og Kultur","DOAJ"
|
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"0026-1165","0026-1165",1,0,0,0,1,1,1,0,0,0,1,1,"Journal of the Meteorological Society of Japan","DOAJ"
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"0029-0181","0029-0181",0,1,0,0,0,0,0,1,0,0,0,0,"Nihon butsuri gakkaishi.","ROAD"
|
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"0034-7000","0034-7000",1,1,0,0,0,1,1,1,0,0,0,1,"Revista Argentina de Cardiología","DOAJ"
|
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"0034-7523","0034-7523",0,1,0,0,0,1,0,1,0,0,0,1,"Revista cubana de medicina.","ROAD"
|
||||
"0034-8244","0034-8244",1,0,0,0,1,1,1,0,0,0,1,1,"Revista de Filosofia","DOAJ"
|
||||
"0034-8678","0034-8678",1,0,0,0,0,0,1,0,0,0,0,0,"Revista de Pedagogie","DOAJ"
|
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"0036-8709","0036-8709",1,1,1,0,1,1,1,1,1,0,1,1,"Scientia Pharmaceutica","DOAJ"
|
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"0044-4855","0044-4855",0,1,0,0,0,0,0,1,0,0,0,0,"Život i škola.","ROAD"
|
||||
"0048-7449","0048-7449",1,1,0,0,1,1,1,1,0,0,1,1,"Reumatismo","DOAJ"
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||||
"0048-766X","0048-766X",0,1,0,0,0,1,0,1,0,0,0,1,"Revista chilena de obstetricia y ginecología.","ROAD"
|
||||
"0065-1400","0065-1400",0,1,0,0,1,1,0,1,0,0,1,1,"Acta Neurobiologiae Experimentalis.","ROAD"
|
||||
"0066-6742","0066-6742",1,0,0,0,1,1,1,0,0,0,1,1,"Archivo Español de Arqueología","DOAJ"
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"0073-2435","0073-2435",1,1,0,0,1,1,1,1,0,0,1,1,"Historia (Santiago)","DOAJ"
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"0073-4918","0073-4918",0,1,0,0,0,0,0,1,0,0,0,0,"Illinois Natural History Survey bulletin.","ROAD"
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"0075-7411","0075-7411",1,0,0,0,0,0,1,0,0,0,0,0,"Anales","DOAJ"
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"0077-2704","0077-2704",0,1,0,0,0,0,0,1,0,0,0,0,"Namn och bygd.","ROAD"
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"0078-5466","0078-5466",0,1,0,0,1,1,0,1,0,0,1,1,"Optica Applicata.","ROAD"
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|
@ -0,0 +1,29 @@
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{"issn":"2502-7409","issn_l":"1411-0253","title":"Jurnal ilmu informasi, perpustakaan, dan kearsipan","title_source":"ROAD"}
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{"issn":"2502-7433","issn_l":"2502-7433","title":"At-Tadbir : jurnal ilmiah manajemen","title_source":"ROAD"}
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{"issn":"2502-745X","issn_l":"2502-745X","title":"Jurnal Kesehatan Panrita Husada.","title_source":"ROAD"}
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{"issn":"2502-7549","issn_l":"2502-7549","title":"ELang journal (An English Education journal)","title_source":"ROAD"}
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{"issn":"2423-3633","issn_l":"2423-3625","title":"̒Ulūm-i darmāngāhī-i dāmpizishkī-i Īrān.","title_source":"ROAD"}
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{"issn":"2423-5563","issn_l":"2423-3773","title":"Pizhūhishnāmah-i ̒ilm/sanjī.","title_source":"ROAD"}
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{"issn":"1735-434X","issn_l":"1735-434X","title":"Iranian journal of animal biosystematics.","title_source":"ROAD"}
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{"issn":"2423-4435","issn_l":"2008-6113","title":"Majallah-i jangal-i Īrān.","title_source":"ROAD"}
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{"issn":"2423-4575","issn_l":"2423-4575","title":"Ābziyān-i zinatī.","title_source":"ROAD"}
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{"issn":"2423-4974","issn_l":"2423-4974","title":"Pizhūhishnāmah-i ravābiṭ-i biyn/al- milal.","title_source":"ROAD"}
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{"issn":"2380-0607","issn_l":"2380-0607","title":"AIHM journal club.","title_source":"ROAD"}
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{"issn":"1085-4568","issn_l":"1085-4568","title":"Frontiers.","title_source":"ROAD"}
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{"issn":"2380-8845","issn_l":"2380-8845","title":"The journal of contemporary archival studies.","title_source":"ROAD"}
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{"issn":"2381-1803","issn_l":"2381-1803","title":"International journal of complementary & alternative medicine.","title_source":"ROAD"}
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{"issn":"2381-2478","issn_l":"2381-2478","title":"Palapala.","title_source":"ROAD"}
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{"issn":"2382-5170","issn_l":"2382-5170","title":"Asia pacific journal of environment ecology and sustainable development.","title_source":"ROAD"}
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{"issn":"2382-9737","issn_l":"2382-9737","title":"Majallah-i salāmat va bihdāsht","title_source":"ROAD"}
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{"issn":"2382-977X","issn_l":"2382-977X","title":"UCT journal of research in science ,engineering and technology","title_source":"ROAD"}
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{"issn":"2382-9974","issn_l":"2382-9974","title":"Bih/nizhādī-i giyāhān-i zirā̒ī va bāghī.","title_source":"ROAD"}
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{"issn":"2227-4782","issn_l":"2227-4782","title":"Problemi endokrinnoï patologìï.","title_source":"ROAD"}
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{"issn":"2685-0079","issn_l":"2597-4971","title":"Jurnal Kebijakan Pembangunan Daerah : Jurnal Penelitian dan Pengembangan Kebijakan Pembangunan Daerah.","title_source":"ROAD"}
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{"issn":"2574-0075","issn_l":"2574-0075","title":"Hypermedia magazine.","title_source":"ROAD"}
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{"issn":"2574-0296","issn_l":"2574-0296","title":"The museum review.","title_source":"ROAD"}
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{"issn":"2574-0334","issn_l":"2574-0334","title":"Bioactive compounds in health and disease.","title_source":"ROAD"}
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{"issn":"2574-108X","issn_l":"2574-108X","title":"Journal of computer science integration.","title_source":"ROAD"}
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||||
{"issn":"2574-254X","issn_l":"2574-254X","title":"Child and adolescent obesity.","title_source":"ROAD"}
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{"issn":"2574-3325","issn_l":"2574-3325","title":"Journal of research on the college president.","title_source":"ROAD"}
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{"issn":"2239-6101","issn_l":"2239-5938","title":"European journal of sustainable development.","title_source":"ROAD"}
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@ -0,0 +1,29 @@
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{"id":"unibi","officialname":"Jurnal ilmu informasi, perpustakaan, dan kearsipan","issn":"2502-7409","eissn":"","lissn":"1411-0253","openAccess":true}
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{"id":"unibi","officialname":"At-Tadbir : jurnal ilmiah manajemen","issn":"2502-7433","eissn":"","lissn":"2502-7433","openAccess":true}
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{"id":"unibi","officialname":"Jurnal Kesehatan Panrita Husada.","issn":"2502-745X","eissn":"","lissn":"2502-745X","openAccess":true}
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{"id":"unibi","officialname":"ELang journal (An English Education journal)","issn":"2502-7549","eissn":"","lissn":"2502-7549","openAccess":true}
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{"id":"unibi","officialname":"̒Ulūm-i darmāngāhī-i dāmpizishkī-i Īrān.","issn":"2423-3633","eissn":"","lissn":"2423-3625","openAccess":true}
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{"id":"unibi","officialname":"Pizhūhishnāmah-i ̒ilm/sanjī.","issn":"2423-5563","eissn":"","lissn":"2423-3773","openAccess":true}
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{"id":"unibi","officialname":"Iranian journal of animal biosystematics.","issn":"1735-434X","eissn":"","lissn":"1735-434X","openAccess":true}
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{"id":"unibi","officialname":"Majallah-i jangal-i Īrān.","issn":"2423-4435","eissn":"","lissn":"2008-6113","openAccess":true}
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{"id":"unibi","officialname":"Ābziyān-i zinatī.","issn":"2423-4575","eissn":"","lissn":"2423-4575","openAccess":true}
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{"id":"unibi","officialname":"Pizhūhishnāmah-i ravābiṭ-i biyn/al- milal.","issn":"2423-4974","eissn":"","lissn":"2423-4974","openAccess":true}
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{"id":"unibi","officialname":"AIHM journal club.","issn":"2380-0607","eissn":"","lissn":"2380-0607","openAccess":true}
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{"id":"unibi","officialname":"Frontiers.","issn":"1085-4568","eissn":"","lissn":"1085-4568","openAccess":true}
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{"id":"unibi","officialname":"The journal of contemporary archival studies.","issn":"2380-8845","eissn":"","lissn":"2380-8845","openAccess":true}
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{"id":"unibi","officialname":"International journal of complementary & alternative medicine.","issn":"2381-1803","eissn":"","lissn":"2381-1803","openAccess":true}
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{"id":"unibi","officialname":"Palapala.","issn":"2381-2478","eissn":"","lissn":"2381-2478","openAccess":true}
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{"id":"unibi","officialname":"Asia pacific journal of environment ecology and sustainable development.","issn":"2382-5170","eissn":"","lissn":"2382-5170","openAccess":true}
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{"id":"unibi","officialname":"Majallah-i salāmat va bihdāsht","issn":"2382-9737","eissn":"","lissn":"2382-9737","openAccess":true}
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{"id":"unibi","officialname":"UCT journal of research in science ,engineering and technology","issn":"2382-977X","eissn":"","lissn":"2382-977X","openAccess":true}
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{"id":"unibi","officialname":"Bih/nizhādī-i giyāhān-i zirā̒ī va bāghī.","issn":"2382-9974","eissn":"","lissn":"2382-9974","openAccess":true}
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{"id":"unibi","officialname":"Problemi endokrinnoï patologìï.","issn":"2227-4782","eissn":"","lissn":"2227-4782","openAccess":true}
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{"id":"unibi","officialname":"Hypermedia magazine.","issn":"2574-0075","eissn":"","lissn":"2574-0075","openAccess":true}
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{"id":"unibi","officialname":"The museum review.","issn":"2574-0296","eissn":"","lissn":"2574-0296","openAccess":true}
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{"id":"unibi","officialname":"Bioactive compounds in health and disease.","issn":"2574-0334","eissn":"","lissn":"2574-0334","openAccess":true}
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{"id":"unibi","officialname":"Journal of computer science integration.","issn":"2574-108X","eissn":"","lissn":"2574-108X","openAccess":true}
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{"id":"unibi","officialname":"Child and adolescent obesity.","issn":"2574-254X","eissn":"","lissn":"2574-254X","openAccess":true}
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{"id":"unibi","officialname":"Journal of research on the college president.","issn":"2574-3325","eissn":"","lissn":"2574-3325","openAccess":true}
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{"id":"unibi","officialname":"European journal of sustainable development.","issn":"2239-6101","eissn":"","lissn":"2239-5938","openAccess":true}
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Reference in New Issue