Merge pull request 'hostedbymap' (#136) from hostedbymap into beta

Reviewed-on: #136
This commit is contained in:
Claudio Atzori 2021-08-12 17:10:55 +02:00
commit e91ffcd2f3
46 changed files with 2268 additions and 6 deletions

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@ -16,10 +16,15 @@ import org.apache.commons.lang.reflect.FieldUtils;
public class CSVParser {
public <R> List<R> parse(String csvFile, String classForName)
throws ClassNotFoundException, IOException, IllegalAccessException, InstantiationException {
return parse(csvFile, classForName, ';');
}
public <R> List<R> parse(String csvFile, String classForName, char delimiter)
throws ClassNotFoundException, IOException, IllegalAccessException, InstantiationException {
final CSVFormat format = CSVFormat.EXCEL
.withHeader()
.withDelimiter(';')
.withDelimiter(delimiter)
.withQuote('"')
.withTrim();
List<R> ret = new ArrayList<>();

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@ -6,6 +6,7 @@ import java.io.Closeable;
import java.io.IOException;
import java.io.OutputStreamWriter;
import java.nio.charset.StandardCharsets;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.commons.logging.Log;
@ -29,6 +30,7 @@ public class ReadCSV implements Closeable {
private final BufferedWriter writer;
private final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private final String csvFile;
private final char delimiter;
public static void main(final String[] args) throws Exception {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
@ -44,19 +46,23 @@ public class ReadCSV implements Closeable {
final String hdfsPath = parser.get("hdfsPath");
final String hdfsNameNode = parser.get("hdfsNameNode");
final String classForName = parser.get("classForName");
try (final ReadCSV readCSV = new ReadCSV(hdfsPath, hdfsNameNode, fileURL)) {
Optional<String> delimiter = Optional.ofNullable(parser.get("delimiter"));
char del = ';';
if (delimiter.isPresent())
del = delimiter.get().charAt(0);
try (final ReadCSV readCSV = new ReadCSV(hdfsPath, hdfsNameNode, fileURL, del)) {
log.info("Getting CSV file...");
readCSV.execute(classForName);
}
}
public void execute(final String classForName)
throws IOException, ClassNotFoundException, IllegalAccessException, InstantiationException {
CSVParser csvParser = new CSVParser();
csvParser
.parse(csvFile, classForName)
.parse(csvFile, classForName, delimiter)
.stream()
.forEach(this::write);
}
@ -69,7 +75,8 @@ public class ReadCSV implements Closeable {
public ReadCSV(
final String hdfsPath,
final String hdfsNameNode,
final String fileURL)
final String fileURL,
char delimiter)
throws Exception {
Configuration conf = new Configuration();
conf.set("fs.defaultFS", hdfsNameNode);
@ -84,6 +91,7 @@ public class ReadCSV implements Closeable {
this.writer = new BufferedWriter(new OutputStreamWriter(fos, StandardCharsets.UTF_8));
this.csvFile = httpConnector.getInputSource(fileURL);
this.delimiter = delimiter;
}
protected void write(final Object p) {

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@ -33,7 +33,7 @@ public class ReadExcel implements Closeable {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
ReadCSV.class
ReadExcel.class
.getResourceAsStream(
"/eu/dnetlib/dhp/actionmanager/project/parameters.json")));

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@ -28,6 +28,11 @@
"paramLongName" : "sheetName",
"paramDescription" : "the name of the sheet in case the file is excel",
"paramRequired" : false
}, {
"paramName": "d",
"paramLongName" : "delimiter",
"paramDescription" : "the delimiter between fields in case it is not ;",
"paramRequired" : false
}

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@ -232,6 +232,8 @@ object DoiBoostMappingUtil {
if (item != null) {
hb.setValue(item.officialname)
hb.setKey(generateDSId(item.id))
//TODO replace with the one above as soon as the new HBM will be used
//hb.setKey(item.id)
if (item.openAccess) {
i.setAccessright(getOpenAccessQualifier())
i.getAccessright.setOpenAccessRoute(OpenAccessRoute.gold)

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@ -0,0 +1,39 @@
[
{
"paramName": "fu",
"paramLongName" : "fileURL",
"paramDescription" : "the url of the file to download",
"paramRequired" : true
},
{
"paramName": "hp",
"paramLongName" : "hdfsPath",
"paramDescription" : "where to save the file",
"paramRequired" : true
},
{
"paramName": "hnn",
"paramLongName" : "hdfsNameNode",
"paramDescription" : "the name node",
"paramRequired" : true
},
{
"paramName": "cfn",
"paramLongName" : "classForName",
"paramDescription" : "the name of the class to deserialize the csv to",
"paramRequired" : true
}, {
"paramName": "sn",
"paramLongName" : "sheetName",
"paramDescription" : "the name of the sheet in case the file is excel",
"paramRequired" : false
}, {
"paramName": "d",
"paramLongName" : "delimiter",
"paramDescription" : "the delimiter between fields in case it is not ;",
"paramRequired" : false
}
]

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@ -76,6 +76,7 @@
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="ImportCrossRef">
<java>
<job-tracker>${jobTracker}</job-tracker>

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@ -122,6 +122,10 @@
<groupId>org.json4s</groupId>
<artifactId>json4s-jackson_2.11</artifactId>
</dependency>
<dependency>
<groupId>com.opencsv</groupId>
<artifactId>opencsv</artifactId>
</dependency>
</dependencies>

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@ -0,0 +1,142 @@
package eu.dnetlib.dhp.oa.graph.hostedbymap
import eu.dnetlib.dhp.oa.graph.hostedbymap.model.EntityInfo
import org.apache.spark.sql.{Dataset, Encoder, Encoders, TypedColumn}
import org.apache.spark.sql.expressions.Aggregator
case class HostedByItemType(id: String, officialname: String, issn: String, eissn: String, lissn: String, openAccess: Boolean) {}
case class HostedByInfo(id: String, officialname: String, journal_id: String, provenance : String, id_type: String) {}
object Aggregators {
def getId(s1:String, s2:String) : String = {
if (s1.startsWith("10|")){
return s1}
s2
}
def getValue(s1:String, s2:String) : String = {
if(!s1.equals("")){
return s1
}
s2
}
def explodeHostedByItemType(df: Dataset[(String, HostedByItemType)]): Dataset[(String, HostedByItemType)] = {
val transformedData : Dataset[(String, HostedByItemType)] = df
.groupByKey(_._1)(Encoders.STRING)
.agg(Aggregators.hostedByAggregator)
.map{
case (id:String , res:(String, HostedByItemType)) => res
}(Encoders.tuple(Encoders.STRING, Encoders.product[HostedByItemType]))
transformedData
}
val hostedByAggregator: TypedColumn[(String, HostedByItemType), (String, HostedByItemType)] = new Aggregator[(String, HostedByItemType), (String, HostedByItemType), (String, HostedByItemType)] {
override def zero: (String, HostedByItemType) = ("", HostedByItemType("","","","","",false))
override def reduce(b: (String, HostedByItemType), a:(String,HostedByItemType)): (String, HostedByItemType) = {
return merge(b, a)
}
override def merge(b1: (String, HostedByItemType), b2: (String, HostedByItemType)): (String, HostedByItemType) = {
if (b1 == null){
return b2
}
if(b2 == null){
return b1
}
if(b1._2.id.startsWith("10|")){
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))
}
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))
}
override def finish(reduction: (String,HostedByItemType)): (String, HostedByItemType) = reduction
override def bufferEncoder: Encoder[(String,HostedByItemType)] = Encoders.tuple(Encoders.STRING,Encoders.product[HostedByItemType])
override def outputEncoder: Encoder[(String,HostedByItemType)] = Encoders.tuple(Encoders.STRING,Encoders.product[HostedByItemType])
}.toColumn
def resultToSingleIdAggregator: TypedColumn[EntityInfo, EntityInfo] = new Aggregator[EntityInfo, EntityInfo, EntityInfo]{
override def zero: EntityInfo = EntityInfo.newInstance("","","")
override def reduce(b: EntityInfo, a:EntityInfo): EntityInfo = {
return merge(b, a)
}
override def merge(b1: EntityInfo, b2: EntityInfo): EntityInfo = {
if (b1 == null){
return b2
}
if(b2 == null){
return b1
}
if(!b1.getHb_id.equals("")){
b1.setOpenaccess(b1.getOpenaccess || b2.getOpenaccess)
return b1
}
b2.setOpenaccess(b1.getOpenaccess || b2.getOpenaccess)
b2
}
override def finish(reduction: EntityInfo): EntityInfo = reduction
override def bufferEncoder: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
override def outputEncoder: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
}.toColumn
def resultToSingleId(df:Dataset[EntityInfo]): Dataset[EntityInfo] = {
val transformedData : Dataset[EntityInfo] = df
.groupByKey(_.getId)(Encoders.STRING)
.agg(Aggregators.resultToSingleIdAggregator)
.map{
case (id:String , res: EntityInfo) => res
}(Encoders.bean(classOf[EntityInfo]))
transformedData
}
def datasourceToSingleIdAggregator: TypedColumn[EntityInfo, EntityInfo] = new Aggregator[EntityInfo, EntityInfo, EntityInfo]{
override def zero: EntityInfo = EntityInfo.newInstance("","","")
override def reduce(b: EntityInfo, a:EntityInfo): EntityInfo = {
return merge(b, a)
}
override def merge(b1: EntityInfo, b2: EntityInfo): EntityInfo = {
if (b1 == null){
return b2
}
if(b2 == null){
return b1
}
if(!b1.getHb_id.equals("")){
return b1
}
b2
}
override def finish(reduction: EntityInfo): EntityInfo = reduction
override def bufferEncoder: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
override def outputEncoder: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
}.toColumn
def datasourceToSingleId(df:Dataset[EntityInfo]): Dataset[EntityInfo] = {
val transformedData : Dataset[EntityInfo] = df
.groupByKey(_.getHb_id)(Encoders.STRING)
.agg(Aggregators.datasourceToSingleIdAggregator)
.map{
case (id:String , res: EntityInfo) => res
}(Encoders.bean(classOf[EntityInfo]))
transformedData
}
}

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@ -0,0 +1,13 @@
package eu.dnetlib.dhp.oa.graph.hostedbymap;
public class Constants {
public static final String OPENAIRE = "openaire";
public static final String DOAJ = "doaj";
public static final String UNIBI = "unibi";
public static final String ISSN = "issn";
public static final String EISSN = "eissn";
public static final String ISSNL = "issnl";
}

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@ -0,0 +1,107 @@
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.nio.charset.StandardCharsets;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.FileSystem;
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();
}
}
}

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@ -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)
}
}

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@ -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)
}
}

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@ -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)
}
}

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@ -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])
}
}

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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;
}
}

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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;
}
}

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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;
}
}

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[
{
"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
}
]

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[
{
"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
}
]

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[
{
"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
}
]

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[
{
"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
}
]

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<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>

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<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>

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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()
}
}

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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()
}
}

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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()
}
}

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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();
}
}
);
}
}

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{"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 détudes 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}

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{"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 détudes germaniques","issn":"0751-4239","eissn":"2605-8359","lissn":"","openAccess":false}
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"ISSN","ISSN_L","ISSN_IN_DOAJ","ISSN_IN_ROAD","ISSN_IN_PMC","ISSN_IN_OAPC","ISSN_IN_WOS","ISSN_IN_SCOPUS","JOURNAL_IN_DOAJ","JOURNAL_IN_ROAD","JOURNAL_IN_PMC","JOURNAL_IN_OAPC","JOURNAL_IN_WOS","JOURNAL_IN_SCOPUS","TITLE","TITLE_SOURCE"
"0001-625X","0001-625X",1,1,0,0,0,1,1,1,0,0,0,1,"Acta Mycologica","DOAJ"
"0002-0397","0002-0397",1,1,0,0,1,1,1,1,0,0,1,1,"Africa Spectrum","DOAJ"
"0003-2565","0003-2565",1,0,0,0,0,0,1,0,0,0,0,0,"Anali Pravnog Fakulteta u Beogradu","DOAJ"
"0003-424X","0003-424X",0,1,0,0,1,0,0,1,0,0,1,0,"Annales de zootechnie.","ROAD"
"0003-4827","0003-4827",0,1,0,0,0,1,0,1,0,0,0,1,"Annals of Iowa.","ROAD"
"0004-0592","0004-0592",1,1,0,0,1,1,1,1,0,0,1,1,"Archivos de Zootecnia","DOAJ"
"0004-282X","0004-282X",1,1,0,0,1,1,1,1,0,0,1,1,"Arquivos de Neuro-Psiquiatria","DOAJ"
"0006-3096","0006-3096",0,1,0,0,0,0,0,1,0,0,0,0,"Biologia.","ROAD"
"0006-8705","0006-8705",1,1,0,0,1,1,1,1,0,0,1,1,"Bragantia","DOAJ"
"0007-5124","0007-5124",0,1,0,0,1,0,0,1,1,0,1,1,"Experimental animals.","ROAD"
"0007-9502","0007-9502",0,1,0,0,0,0,0,1,0,0,0,0,"Caesaraugusta.","ROAD"
"0008-7386","0008-7386",1,1,0,0,0,1,1,1,0,0,0,1,"Časopis pro Moderní Filologii","DOAJ"
"0008-7629","0008-7629",1,0,0,0,0,0,1,0,0,0,0,0,"Catalogue and Index","DOAJ"
"0015-573X","0015-573X",0,1,0,0,0,0,0,1,0,0,0,0,"Folia quaternaria.","ROAD"
"0016-6987","0016-6987",1,0,0,0,1,1,1,0,0,0,1,1,"Genus","DOAJ"
"0016-7789","0016-7789",1,1,0,0,0,1,1,1,0,0,0,1,"Geologija ","DOAJ"
"0021-5007","0021-5007",0,1,0,0,0,1,0,1,0,0,0,1,"Nihon Seitai Gakkaishi.","ROAD"
"0023-4001","0023-4001",0,1,0,0,1,1,0,1,0,0,1,1,"Korean Journal of Parasitology","ROAD"
"0023-5415","0023-5415",1,1,0,0,0,0,1,1,0,0,0,0,"Kunst og Kultur","DOAJ"
"0026-1165","0026-1165",1,0,0,0,1,1,1,0,0,0,1,1,"Journal of the Meteorological Society of Japan","DOAJ"
"0029-0181","0029-0181",0,1,0,0,0,0,0,1,0,0,0,0,"Nihon butsuri gakkaishi.","ROAD"
"0034-7000","0034-7000",1,1,0,0,0,1,1,1,0,0,0,1,"Revista Argentina de Cardiología","DOAJ"
"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"
"0036-8709","0036-8709",1,1,1,0,1,1,1,1,1,0,1,1,"Scientia Pharmaceutica","DOAJ"
"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"
"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"
"0073-2435","0073-2435",1,1,0,0,1,1,1,1,0,0,1,1,"Historia (Santiago)","DOAJ"
"0073-4918","0073-4918",0,1,0,0,0,0,0,1,0,0,0,0,"Illinois Natural History Survey bulletin.","ROAD"
"0075-7411","0075-7411",1,0,0,0,0,0,1,0,0,0,0,0,"Anales","DOAJ"
"0077-2704","0077-2704",0,1,0,0,0,0,0,1,0,0,0,0,"Namn och bygd.","ROAD"
"0078-5466","0078-5466",0,1,0,0,1,1,0,1,0,0,1,1,"Optica Applicata.","ROAD"
1 ISSN ISSN_L ISSN_IN_DOAJ ISSN_IN_ROAD ISSN_IN_PMC ISSN_IN_OAPC ISSN_IN_WOS ISSN_IN_SCOPUS JOURNAL_IN_DOAJ JOURNAL_IN_ROAD JOURNAL_IN_PMC JOURNAL_IN_OAPC JOURNAL_IN_WOS JOURNAL_IN_SCOPUS TITLE TITLE_SOURCE
2 0001-625X 0001-625X 1 1 0 0 0 1 1 1 0 0 0 1 Acta Mycologica DOAJ
3 0002-0397 0002-0397 1 1 0 0 1 1 1 1 0 0 1 1 Africa Spectrum DOAJ
4 0003-2565 0003-2565 1 0 0 0 0 0 1 0 0 0 0 0 Anali Pravnog Fakulteta u Beogradu DOAJ
5 0003-424X 0003-424X 0 1 0 0 1 0 0 1 0 0 1 0 Annales de zootechnie. ROAD
6 0003-4827 0003-4827 0 1 0 0 0 1 0 1 0 0 0 1 Annals of Iowa. ROAD
7 0004-0592 0004-0592 1 1 0 0 1 1 1 1 0 0 1 1 Archivos de Zootecnia DOAJ
8 0004-282X 0004-282X 1 1 0 0 1 1 1 1 0 0 1 1 Arquivos de Neuro-Psiquiatria DOAJ
9 0006-3096 0006-3096 0 1 0 0 0 0 0 1 0 0 0 0 Biologia. ROAD
10 0006-8705 0006-8705 1 1 0 0 1 1 1 1 0 0 1 1 Bragantia DOAJ
11 0007-5124 0007-5124 0 1 0 0 1 0 0 1 1 0 1 1 Experimental animals. ROAD
12 0007-9502 0007-9502 0 1 0 0 0 0 0 1 0 0 0 0 Caesaraugusta. ROAD
13 0008-7386 0008-7386 1 1 0 0 0 1 1 1 0 0 0 1 Časopis pro Moderní Filologii DOAJ
14 0008-7629 0008-7629 1 0 0 0 0 0 1 0 0 0 0 0 Catalogue and Index DOAJ
15 0015-573X 0015-573X 0 1 0 0 0 0 0 1 0 0 0 0 Folia quaternaria. ROAD
16 0016-6987 0016-6987 1 0 0 0 1 1 1 0 0 0 1 1 Genus DOAJ
17 0016-7789 0016-7789 1 1 0 0 0 1 1 1 0 0 0 1 Geologija DOAJ
18 0021-5007 0021-5007 0 1 0 0 0 1 0 1 0 0 0 1 Nihon Seitai Gakkaishi. ROAD
19 0023-4001 0023-4001 0 1 0 0 1 1 0 1 0 0 1 1 Korean Journal of Parasitology ROAD
20 0023-5415 0023-5415 1 1 0 0 0 0 1 1 0 0 0 0 Kunst og Kultur DOAJ
21 0026-1165 0026-1165 1 0 0 0 1 1 1 0 0 0 1 1 Journal of the Meteorological Society of Japan DOAJ
22 0029-0181 0029-0181 0 1 0 0 0 0 0 1 0 0 0 0 Nihon butsuri gakkaishi. ROAD
23 0034-7000 0034-7000 1 1 0 0 0 1 1 1 0 0 0 1 Revista Argentina de Cardiología DOAJ
24 0034-7523 0034-7523 0 1 0 0 0 1 0 1 0 0 0 1 Revista cubana de medicina. ROAD
25 0034-8244 0034-8244 1 0 0 0 1 1 1 0 0 0 1 1 Revista de Filosofia DOAJ
26 0034-8678 0034-8678 1 0 0 0 0 0 1 0 0 0 0 0 Revista de Pedagogie DOAJ
27 0036-8709 0036-8709 1 1 1 0 1 1 1 1 1 0 1 1 Scientia Pharmaceutica DOAJ
28 0044-4855 0044-4855 0 1 0 0 0 0 0 1 0 0 0 0 Život i škola. ROAD
29 0048-7449 0048-7449 1 1 0 0 1 1 1 1 0 0 1 1 Reumatismo DOAJ
30 0048-766X 0048-766X 0 1 0 0 0 1 0 1 0 0 0 1 Revista chilena de obstetricia y ginecología. ROAD
31 0065-1400 0065-1400 0 1 0 0 1 1 0 1 0 0 1 1 Acta Neurobiologiae Experimentalis. ROAD
32 0066-6742 0066-6742 1 0 0 0 1 1 1 0 0 0 1 1 Archivo Español de Arqueología DOAJ
33 0073-2435 0073-2435 1 1 0 0 1 1 1 1 0 0 1 1 Historia (Santiago) DOAJ
34 0073-4918 0073-4918 0 1 0 0 0 0 0 1 0 0 0 0 Illinois Natural History Survey bulletin. ROAD
35 0075-7411 0075-7411 1 0 0 0 0 0 1 0 0 0 0 0 Anales DOAJ
36 0077-2704 0077-2704 0 1 0 0 0 0 0 1 0 0 0 0 Namn och bygd. ROAD
37 0078-5466 0078-5466 0 1 0 0 1 1 0 1 0 0 1 1 Optica Applicata. ROAD

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{"issn":"2502-7409","issn_l":"1411-0253","title":"Jurnal ilmu informasi, perpustakaan, dan kearsipan","title_source":"ROAD"}
{"issn":"2502-7433","issn_l":"2502-7433","title":"At-Tadbir : jurnal ilmiah manajemen","title_source":"ROAD"}
{"issn":"2502-745X","issn_l":"2502-745X","title":"Jurnal Kesehatan Panrita Husada.","title_source":"ROAD"}
{"issn":"2502-7549","issn_l":"2502-7549","title":"ELang journal (An English Education journal)","title_source":"ROAD"}
{"issn":"2423-3633","issn_l":"2423-3625","title":"̒Ulūm-i darmāngāhī-i dāmpizishkī-i Īrān.","title_source":"ROAD"}
{"issn":"2423-5563","issn_l":"2423-3773","title":"Pizhūhishnāmah-i ̒ilm/sanjī.","title_source":"ROAD"}
{"issn":"1735-434X","issn_l":"1735-434X","title":"Iranian journal of animal biosystematics.","title_source":"ROAD"}
{"issn":"2423-4435","issn_l":"2008-6113","title":"Majallah-i jangal-i Īrān.","title_source":"ROAD"}
{"issn":"2423-4575","issn_l":"2423-4575","title":"Ābziyān-i zinatī.","title_source":"ROAD"}
{"issn":"2423-4974","issn_l":"2423-4974","title":"Pizhūhishnāmah-i ravābiṭ-i biyn/al- milal.","title_source":"ROAD"}
{"issn":"2380-0607","issn_l":"2380-0607","title":"AIHM journal club.","title_source":"ROAD"}
{"issn":"1085-4568","issn_l":"1085-4568","title":"Frontiers.","title_source":"ROAD"}
{"issn":"2380-8845","issn_l":"2380-8845","title":"˜The œjournal of contemporary archival studies.","title_source":"ROAD"}
{"issn":"2381-1803","issn_l":"2381-1803","title":"International journal of complementary & alternative medicine.","title_source":"ROAD"}
{"issn":"2381-2478","issn_l":"2381-2478","title":"Palapala.","title_source":"ROAD"}
{"issn":"2382-5170","issn_l":"2382-5170","title":"Asia pacific journal of environment ecology and sustainable development.","title_source":"ROAD"}
{"issn":"2382-9737","issn_l":"2382-9737","title":"Majallah-i salāmat va bihdāsht","title_source":"ROAD"}
{"issn":"2382-977X","issn_l":"2382-977X","title":"UCT journal of research in science ,engineering and technology","title_source":"ROAD"}
{"issn":"2382-9974","issn_l":"2382-9974","title":"Bih/nizhādī-i giyāhān-i zirā̒ī va bāghī.","title_source":"ROAD"}
{"issn":"2227-4782","issn_l":"2227-4782","title":"Problemi endokrinnoï patologìï.","title_source":"ROAD"}
{"issn":"2685-0079","issn_l":"2597-4971","title":"Jurnal Kebijakan Pembangunan Daerah : Jurnal Penelitian dan Pengembangan Kebijakan Pembangunan Daerah.","title_source":"ROAD"}
{"issn":"2574-0075","issn_l":"2574-0075","title":"Hypermedia magazine.","title_source":"ROAD"}
{"issn":"2574-0296","issn_l":"2574-0296","title":"˜The œmuseum review.","title_source":"ROAD"}
{"issn":"2574-0334","issn_l":"2574-0334","title":"Bioactive compounds in health and disease.","title_source":"ROAD"}
{"issn":"2574-108X","issn_l":"2574-108X","title":"Journal of computer science integration.","title_source":"ROAD"}
{"issn":"2574-254X","issn_l":"2574-254X","title":"Child and adolescent obesity.","title_source":"ROAD"}
{"issn":"2574-3325","issn_l":"2574-3325","title":"Journal of research on the college president.","title_source":"ROAD"}
{"issn":"2239-6101","issn_l":"2239-5938","title":"European journal of sustainable development.","title_source":"ROAD"}

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