diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/project/utils/CSVParser.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/project/utils/CSVParser.java index e2d8c528e7..c53cd2127d 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/project/utils/CSVParser.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/project/utils/CSVParser.java @@ -16,10 +16,15 @@ import org.apache.commons.lang.reflect.FieldUtils; public class CSVParser { public List parse(String csvFile, String classForName) + throws ClassNotFoundException, IOException, IllegalAccessException, InstantiationException { + return parse(csvFile, classForName, ';'); + } + + public List parse(String csvFile, String classForName, char delimiter) throws ClassNotFoundException, IOException, IllegalAccessException, InstantiationException { final CSVFormat format = CSVFormat.EXCEL .withHeader() - .withDelimiter(';') + .withDelimiter(delimiter) .withQuote('"') .withTrim(); List ret = new ArrayList<>(); diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/project/utils/ReadCSV.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/project/utils/ReadCSV.java index b59bd9dbc6..1ae775bec1 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/project/utils/ReadCSV.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/project/utils/ReadCSV.java @@ -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 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) { diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/project/utils/ReadExcel.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/project/utils/ReadExcel.java index 330779e24a..359e46fc73 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/project/utils/ReadExcel.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/project/utils/ReadExcel.java @@ -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"))); diff --git a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/project/parameters.json b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/project/parameters.json index b6c9c94b94..9ccb70a9f9 100644 --- a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/project/parameters.json +++ b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/project/parameters.json @@ -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 } diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/DoiBoostMappingUtil.scala b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/DoiBoostMappingUtil.scala index e688804337..909e0f0778 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/DoiBoostMappingUtil.scala +++ b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/DoiBoostMappingUtil.scala @@ -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) diff --git a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/download_unibi_issn_gold_parameters.json b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/download_unibi_issn_gold_parameters.json new file mode 100644 index 0000000000..9ccb70a9f9 --- /dev/null +++ b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/download_unibi_issn_gold_parameters.json @@ -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 +} + + +] \ No newline at end of file diff --git a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/preprocess/oozie_app/workflow.xml b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/preprocess/oozie_app/workflow.xml index 52f958d4d9..de433b038c 100644 --- a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/preprocess/oozie_app/workflow.xml +++ b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/preprocess/oozie_app/workflow.xml @@ -76,6 +76,7 @@ Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}] + ${jobTracker} diff --git a/dhp-workflows/dhp-graph-mapper/pom.xml b/dhp-workflows/dhp-graph-mapper/pom.xml index 19febb9ed7..6c5e4609a3 100644 --- a/dhp-workflows/dhp-graph-mapper/pom.xml +++ b/dhp-workflows/dhp-graph-mapper/pom.xml @@ -122,6 +122,10 @@ org.json4s json4s-jackson_2.11 + + com.opencsv + opencsv + diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/Aggregators.scala b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/Aggregators.scala new file mode 100644 index 0000000000..8198b197aa --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/Aggregators.scala @@ -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 + } +} diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/Constants.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/Constants.java new file mode 100644 index 0000000000..b29877a48f --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/Constants.java @@ -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"; +} diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/GetCSV.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/GetCSV.java new file mode 100644 index 0000000000..9516cf6f76 --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/GetCSV.java @@ -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(); + } + + } + +} diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToDatasource.scala b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToDatasource.scala new file mode 100644 index 0000000000..ae1454b479 --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToDatasource.scala @@ -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) + } + + +} diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToResult.scala b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToResult.scala new file mode 100644 index 0000000000..533e439b7f --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkApplyHostedByMapToResult.scala @@ -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) + + + + } + + +} diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkPrepareHostedByInfoToApply.scala b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkPrepareHostedByInfoToApply.scala new file mode 100644 index 0000000000..6db0ad33db --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkPrepareHostedByInfoToApply.scala @@ -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) + + + } + + +} diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkProduceHostedByMap.scala b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkProduceHostedByMap.scala new file mode 100644 index 0000000000..de41ebf28f --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkProduceHostedByMap.scala @@ -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]) + + + } + + +} diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/model/DOAJModel.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/model/DOAJModel.java new file mode 100644 index 0000000000..ba804b939d --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/model/DOAJModel.java @@ -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; + } +} diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/model/EntityInfo.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/model/EntityInfo.java new file mode 100644 index 0000000000..1facaa7923 --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/model/EntityInfo.java @@ -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; + + } +} diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/model/UnibiGoldModel.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/model/UnibiGoldModel.java new file mode 100644 index 0000000000..0927a136be --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/model/UnibiGoldModel.java @@ -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; + } +} diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/download_csv_parameters.json b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/download_csv_parameters.json new file mode 100644 index 0000000000..fba048343b --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/download_csv_parameters.json @@ -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 + } +] + + diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/hostedby_apply_params.json b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/hostedby_apply_params.json new file mode 100644 index 0000000000..e34398290a --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/hostedby_apply_params.json @@ -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 + } +] diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/hostedby_params.json b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/hostedby_params.json new file mode 100644 index 0000000000..9173b78aed --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/hostedby_params.json @@ -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 + } +] + + + diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/hostedby_prepare_params.json b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/hostedby_prepare_params.json new file mode 100644 index 0000000000..9809d71b56 --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/hostedby_prepare_params.json @@ -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 + } +] diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/oozie_app/config-default.xml b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/oozie_app/config-default.xml new file mode 100644 index 0000000000..e5ec3d0aee --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/oozie_app/config-default.xml @@ -0,0 +1,30 @@ + + + jobTracker + yarnRM + + + nameNode + hdfs://nameservice1 + + + oozie.use.system.libpath + true + + + hiveMetastoreUris + thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083 + + + hiveJdbcUrl + jdbc:hive2://iis-cdh5-test-m3.ocean.icm.edu.pl:10000 + + + hiveDbName + openaire + + + oozie.launcher.mapreduce.user.classpath.first + true + + \ No newline at end of file diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/oozie_app/workflow.xml b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/oozie_app/workflow.xml new file mode 100644 index 0000000000..71b20b356d --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/oozie_app/workflow.xml @@ -0,0 +1,238 @@ + + + + + sourcePath + the source path + + + outputPath + the output path + + + hostedByMapPath + the output path + + + sparkDriverMemory + memory for driver process + + + sparkExecutorMemory + memory for individual executor + + + sparkExecutorCores + number of cores used by single executor + + + oozieActionShareLibForSpark2 + oozie action sharelib for spark 2.* + + + spark2ExtraListeners + com.cloudera.spark.lineage.NavigatorAppListener + spark 2.* extra listeners classname + + + spark2SqlQueryExecutionListeners + com.cloudera.spark.lineage.NavigatorQueryListener + spark 2.* sql query execution listeners classname + + + spark2YarnHistoryServerAddress + spark 2.* yarn history server address + + + spark2EventLogDir + spark 2.* event log dir location + + + + + ${jobTracker} + ${nameNode} + + + mapreduce.job.queuename + ${queueName} + + + oozie.launcher.mapred.job.queue.name + ${oozieLauncherQueueName} + + + oozie.action.sharelib.for.spark + ${oozieActionShareLibForSpark2} + + + + + + + + + + ${wf:conf('resumeFrom') eq 'ProduceHBM'} + + + + + + + Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}] + + + + + + + + + + + + + + + + + + + + eu.dnetlib.dhp.oa.graph.hostedbymap.GetCSV + --hdfsNameNode${nameNode} + --fileURL${unibiFileURL} + --workingPath${workingDir}/unibi_gold + --classForNameeu.dnetlib.dhp.oa.graph.hostedbymap.model.UnibiGoldModel + + + + + + + + eu.dnetlib.dhp.oa.graph.hostedbymap.GetCSV + --hdfsNameNode${nameNode} + --fileURL${doajFileURL} + --workingPath${workingDir}/doaj + --classForNameeu.dnetlib.dhp.oa.graph.hostedbymap.model.DOAJModel + --replacetrue + + + + + + + + + + yarn-cluster + Produce the new HostedByMap + eu.dnetlib.dhp.oa.graph.hostedbymap.SparkProduceHostedByMap + dhp-graph-mapper-${projectVersion}.jar + + --executor-memory=${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} + + --datasourcePath${sourcePath}/datasource + --workingPath${workingDir} + --outputPath${hostedByMapPath} + --masteryarn-cluster + + + + + + + + yarn-cluster + Prepare info to apply the hbm + eu.dnetlib.dhp.oa.graph.hostedbymap.SparkPrepareHostedByInfoToApply + dhp-graph-mapper-${projectVersion}.jar + + --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=${sparkSqlWarehouseDir} + + --hostedByMapPath${hostedByMapPath} + --preparedInfoPath${workingDir}/preparedInfo + --graphPath${sourcePath} + --masteryarn-cluster + + + + + + + + + + + + + yarn-cluster + Apply hbm to result + eu.dnetlib.dhp.oa.graph.hostedbymap.SparkApplyHostedByMapToResult + dhp-graph-mapper-${projectVersion}.jar + + --executor-memory=${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} + + --outputPath${outputPath}/publication + --preparedInfoPath${workingDir}/preparedInfo + --graphPath${sourcePath} + --masteryarn-cluster + + + + + + + + yarn-cluster + Apply hbm to datasource + eu.dnetlib.dhp.oa.graph.hostedbymap.SparkApplyHostedByMapToDatasource + dhp-graph-mapper-${projectVersion}.jar + + --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=${sparkSqlWarehouseDir} + + --outputPath${outputPath}/datasource + --preparedInfoPath${workingDir}/preparedInfo + --graphPath${sourcePath} + --masteryarn-cluster + + + + + + + + + + + \ No newline at end of file diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestApply.scala b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestApply.scala new file mode 100644 index 0000000000..a48e527020 --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestApply.scala @@ -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() + + } + +} diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPrepare.scala b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPrepare.scala new file mode 100644 index 0000000000..efd598fef7 --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPrepare.scala @@ -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() + } + + + +} diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPreprocess.scala b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPreprocess.scala new file mode 100644 index 0000000000..2ed76a72ac --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPreprocess.scala @@ -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() + + } + + + + +} diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestReadCSV.java b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestReadCSV.java new file mode 100644 index 0000000000..89259d8147 --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestReadCSV.java @@ -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 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(); + } + } + + ); + } +} diff --git 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An automatic gamma spectrometer for activation analysis has been developed at the Technical Research Centre of Finland. The on-line system comprises a sample changer for up to 120 samples, detector, multichannel analyzer, microcomputer programmed with Basic language and input/output devices.

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