From db36e119127a88930892e9dd5ad7a61aad91baed Mon Sep 17 00:00:00 2001 From: "miriam.baglioni" Date: Mon, 30 Nov 2020 20:14:23 +0100 Subject: [PATCH 01/40] classes test classes and resources for production of the actionset to include bipFinder score in results --- .../bipfinder/BipDeserialize.java | 23 + .../dhp/actionmanager/bipfinder/BipScore.java | 25 + .../dhp/actionmanager/bipfinder/KeyValue.java | 25 + .../bipfinder/PreparedResult.java | 24 + .../dhp/actionmanager/bipfinder/Score.java | 26 + .../bipfinder/SparkAtomicActionScoreJob.java | 203 +++ .../bipfinder/input_parameters.json | 32 + .../SparkAtomicActionScoreJobTest.java | 160 +++ .../actionmanager/bipfinder/bip_scores.json | 1101 +++++++++++++++++ .../actionmanager/bipfinder/publication.json | 18 + 10 files changed, 1637 insertions(+) create mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java create mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java create mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/KeyValue.java create mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java create mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java create mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java create mode 100644 dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json create mode 100644 dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java create mode 100644 dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json create mode 100644 dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/publication.json diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java new file mode 100644 index 000000000..e68b912b2 --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java @@ -0,0 +1,23 @@ +package eu.dnetlib.dhp.actionmanager.bipfinder; + +import java.io.Serializable; +import java.util.ArrayList; +import java.util.HashMap; +import java.util.List; + + +public class BipDeserialize extends HashMap> implements Serializable { + + public BipDeserialize(){ + super(); + } + + public List get(String key) { + + if (super.get(key) == null) { + return new ArrayList<>(); + } + return super.get(key); + } + +} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java new file mode 100644 index 000000000..b1e381955 --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java @@ -0,0 +1,25 @@ +package eu.dnetlib.dhp.actionmanager.bipfinder; + +import java.io.Serializable; +import java.util.List; + +public class BipScore implements Serializable { + private String id; + private List scoreList; + + public String getId() { + return id; + } + + public void setId(String id) { + this.id = id; + } + + public List getScoreList() { + return scoreList; + } + + public void setScoreList(List scoreList) { + this.scoreList = scoreList; + } +} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/KeyValue.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/KeyValue.java new file mode 100644 index 000000000..1fadae6fe --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/KeyValue.java @@ -0,0 +1,25 @@ +package eu.dnetlib.dhp.actionmanager.bipfinder; + +import java.io.Serializable; + +public class KeyValue implements Serializable { + + private String key; + private String value; + + public String getKey() { + return key; + } + + public void setKey(String key) { + this.key = key; + } + + public String getValue() { + return value; + } + + public void setValue(String value) { + this.value = value; + } +} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java new file mode 100644 index 000000000..bb7648f0c --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java @@ -0,0 +1,24 @@ +package eu.dnetlib.dhp.actionmanager.bipfinder; + +import java.io.Serializable; + +public class PreparedResult implements Serializable { + private String id; //openaire id + private String value; //doi + + public String getId() { + return id; + } + + public void setId(String id) { + this.id = id; + } + + public String getValue() { + return value; + } + + public void setValue(String value) { + this.value = value; + } +} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java new file mode 100644 index 000000000..b14d971cd --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java @@ -0,0 +1,26 @@ +package eu.dnetlib.dhp.actionmanager.bipfinder; + +import java.io.Serializable; +import java.util.List; + +public class Score implements Serializable { + + private String id; + private List unit; + + public String getId() { + return id; + } + + public void setId(String id) { + this.id = id; + } + + public List getUnit() { + return unit; + } + + public void setUnit(List unit) { + this.unit = unit; + } +} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java new file mode 100644 index 000000000..658555e05 --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java @@ -0,0 +1,203 @@ +package eu.dnetlib.dhp.actionmanager.bipfinder; + +import com.fasterxml.jackson.databind.ObjectMapper; +import eu.dnetlib.dhp.application.ArgumentApplicationParser; +import eu.dnetlib.dhp.common.HdfsSupport; +import eu.dnetlib.dhp.schema.action.AtomicAction; +import eu.dnetlib.dhp.schema.oaf.*; +import eu.dnetlib.dhp.schema.oaf.KeyValue; +import org.apache.commons.io.IOUtils; +import org.apache.hadoop.hdfs.qjournal.protocol.QJournalProtocolProtos; +import org.apache.hadoop.io.Text; +import org.apache.hadoop.mapred.SequenceFileOutputFormat; +import org.apache.spark.SparkConf; +import org.apache.spark.api.java.JavaRDD; +import org.apache.spark.api.java.JavaSparkContext; +import org.apache.spark.api.java.function.FlatMapFunction; +import org.apache.spark.api.java.function.MapFunction; +import org.apache.spark.api.java.function.MapGroupsFunction; +import org.apache.spark.sql.Dataset; +import org.apache.spark.sql.Encoders; +import org.apache.spark.sql.Row; +import org.apache.spark.sql.SparkSession; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; +import scala.Tuple2; + +import java.io.Serializable; +import java.util.List; +import java.util.Optional; +import java.util.stream.Collectors; + +import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession; + +public class SparkAtomicActionScoreJob implements Serializable { + + private static String DOI = "doi"; + private static final Logger log = LoggerFactory.getLogger(SparkAtomicActionScoreJob.class); + private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); + + public static void main(String[] args) throws Exception { + + String jsonConfiguration = IOUtils + .toString( + SparkAtomicActionScoreJob.class + .getResourceAsStream( + "/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json")); + + final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration); + + parser.parseArgument(args); + + Boolean isSparkSessionManaged = Optional + .ofNullable(parser.get("isSparkSessionManaged")) + .map(Boolean::valueOf) + .orElse(Boolean.TRUE); + + log.info("isSparkSessionManaged: {}", isSparkSessionManaged); + + final String inputPath = parser.get("inputPath"); + log.info("inputPath {}: ", inputPath); + + final String outputPath = parser.get("outputPath"); + log.info("outputPath {}: ", outputPath); + + final String bipScorePath = parser.get("bipScorePath"); + log.info("bipScorePath: {}", bipScorePath); + + final String resultClassName = parser.get("resultTableName"); + log.info("resultTableName: {}", resultClassName); + + Class inputClazz = (Class) Class.forName(resultClassName); + + SparkConf conf = new SparkConf(); + + runWithSparkSession( + conf, + isSparkSessionManaged, + spark -> { + removeOutputDir(spark, outputPath); + prepareResults(spark, inputPath, outputPath, bipScorePath, inputClazz); + }); + } + + private static void prepareResults(SparkSession spark, String inputPath, String outputPath, + String bipScorePath, Class inputClazz) { + + final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); + + JavaRDD bipDeserializeJavaRDD = sc.textFile(bipScorePath) + .map(item -> OBJECT_MAPPER.readValue(item, BipDeserialize.class)); + + + Dataset bipScores = spark.createDataset(bipDeserializeJavaRDD.flatMap(entry -> + entry.keySet().stream().map(key -> { + BipScore bs = new BipScore(); + bs.setId(key); + bs.setScoreList(entry.get(key)); + return bs; + }).collect(Collectors.toList()).iterator() + ).rdd(), Encoders.bean(BipScore.class)); + + System.out.println(bipScores.count()); + + Dataset results = readPath(spark, inputPath, inputClazz); + + results.createOrReplaceTempView("result"); + + Dataset preparedResult = spark.sql("select pIde.value value, id " + + "from result " + + "lateral view explode (pid) p as pIde " + + "where dataInfo.deletedbyinference = false and pIde.qualifier.classid = '" + DOI + "'") + .as(Encoders.bean(PreparedResult.class)); + + Dataset tmp = bipScores.joinWith(preparedResult, bipScores.col("id").equalTo(preparedResult.col("value")), + "inner") + .map((MapFunction, BipScore>) value -> { + BipScore ret = value._1(); + ret.setId(value._2().getId()); + return ret; + }, Encoders.bean(BipScore.class)); + + tmp.groupByKey((MapFunction) value -> value.getId(), Encoders.STRING()) + .mapGroups((MapGroupsFunction) (k, it) -> + { + Result ret = inputClazz.newInstance(); + BipScore first = it.next(); + ret.setId(first.getId()); + + ret.setMeasures(getMeasure(first)); + it.forEachRemaining(value -> ret.getMeasures().addAll(getMeasure(value))); + + return (I)ret; + }, Encoders.bean(inputClazz)) + .toJavaRDD() + .map(p -> new AtomicAction(inputClazz, p)) + .mapToPair( + aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()), + new Text(OBJECT_MAPPER.writeValueAsString(aa)))) + .saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class); + ; + } + + public static Dataset getBipScoreDataset(Dataset bipdeserialized){ + return bipdeserialized.flatMap((FlatMapFunction) bip -> + bip.keySet().stream().map(key -> { + BipScore bs = new BipScore(); + bs.setId(key); + bs.setScoreList(bip.get(key)); + return bs; + }).collect(Collectors.toList()).iterator() + , Encoders.bean(BipScore.class)); + } + + private static List getMeasure(BipScore value) { + return value.getScoreList() + .stream() + .map(score -> { + Measure m = new Measure(); + m.setId(score.getId()); + m.setUnit(score.getUnit().stream() + .map(unit -> { + KeyValue kv = new KeyValue(); + kv.setValue(unit.getValue()); + kv.setKey(unit.getKey()); + kv.setDataInfo(getDataInfo()); + return kv; + }).collect(Collectors.toList())); + return m; + }).collect(Collectors.toList()); + } + + + + private static DataInfo getDataInfo() { + DataInfo di = new DataInfo(); + di.setInferred(false); + di.setInvisible(false); + di.setDeletedbyinference(false); + di.setTrust(""); + Qualifier qualifier = new Qualifier(); + qualifier.setClassid("sysimport:actionset"); + qualifier.setClassname("Harvested"); + qualifier.setSchemename("dnet:provenanceActions"); + qualifier.setSchemeid("dnet:provenanceActions"); + di.setProvenanceaction(qualifier); + return di; + } + + + private static void removeOutputDir(SparkSession spark, String path) { + HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration()); + } + + public static Dataset readPath( + SparkSession spark, String inputPath, Class clazz) { + return spark + .read() + .textFile(inputPath) + .map((MapFunction) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz)); + } + + +} diff --git a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json new file mode 100644 index 000000000..ae844a0c9 --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json @@ -0,0 +1,32 @@ +[ + { + "paramName": "issm", + "paramLongName": "isSparkSessionManaged", + "paramDescription": "when true will stop SparkSession after job execution", + "paramRequired": false +}, +{ +"paramName": "ip", +"paramLongName": "inputPath", +"paramDescription": "the URL from where to get the programme file", +"paramRequired": true +}, +{ +"paramName": "o", +"paramLongName": "outputPath", +"paramDescription": "the path of the new ActionSet", +"paramRequired": true +}, + { + "paramName": "rtn", + "paramLongName": "resultTableName", + "paramDescription": "the path of the new ActionSet", + "paramRequired": true + }, + { + "paramName": "bsp", + "paramLongName": "bipScorePath", + "paramDescription": "the path of the new ActionSet", + "paramRequired": true + } +] \ No newline at end of file diff --git a/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java b/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java new file mode 100644 index 000000000..64518234e --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java @@ -0,0 +1,160 @@ +package eu.dnetlib.dhp.actionmanager.bipfinder; + +import com.fasterxml.jackson.databind.ObjectMapper; +import eu.dnetlib.dhp.schema.action.AtomicAction; +import eu.dnetlib.dhp.schema.oaf.*; +import eu.dnetlib.dhp.schema.oaf.KeyValue; +import org.apache.commons.io.FileUtils; +import org.apache.hadoop.io.Text; +import org.apache.hadoop.mapred.SequenceFileOutputFormat; +import org.apache.spark.SparkConf; +import org.apache.spark.api.java.JavaRDD; +import org.apache.spark.api.java.JavaSparkContext; +import org.apache.spark.api.java.function.FilterFunction; +import org.apache.spark.api.java.function.ForeachFunction; +import org.apache.spark.api.java.function.MapFunction; +import org.apache.spark.api.java.function.MapGroupsFunction; +import org.apache.spark.sql.Dataset; +import org.apache.spark.sql.Encoders; +import org.apache.spark.sql.SparkSession; +import org.junit.jupiter.api.AfterAll; +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.BeforeAll; +import org.junit.jupiter.api.Test; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; +import scala.Tuple2; + +import java.io.IOException; +import java.nio.file.Files; +import java.nio.file.Path; +import java.util.List; +import java.util.stream.Collectors; + +public class SparkAtomicActionScoreJobTest { + + private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); + + private static SparkSession spark; + + private static Path workingDir; + private static final Logger log = LoggerFactory + .getLogger(SparkAtomicActionScoreJobTest.class); + + @BeforeAll + public static void beforeAll() throws IOException { + workingDir = Files + .createTempDirectory(SparkAtomicActionScoreJobTest.class.getSimpleName()); + log.info("using work dir {}", workingDir); + + SparkConf conf = new SparkConf(); + conf.setAppName(SparkAtomicActionScoreJobTest.class.getSimpleName()); + + conf.setMaster("local[*]"); + conf.set("spark.driver.host", "localhost"); + conf.set("hive.metastore.local", "true"); + conf.set("spark.ui.enabled", "false"); + conf.set("spark.sql.warehouse.dir", workingDir.toString()); + conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString()); + + spark = SparkSession + .builder() + .appName(SparkAtomicActionScoreJobTest.class.getSimpleName()) + .config(conf) + .getOrCreate(); + } + + @AfterAll + public static void afterAll() throws IOException { + FileUtils.deleteDirectory(workingDir.toFile()); + spark.stop(); + } + + @Test + public void numberDistinctProjectTest() throws Exception { + String bipScoresPath = getClass().getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json").getPath(); + String inputPath = getClass() + .getResource( + "/eu/dnetlib/dhp/actionmanager/bipfinder/publication.json") + .getPath(); + + SparkAtomicActionScoreJob.main( + new String[] { + "-isSparkSessionManaged", + Boolean.FALSE.toString(), + "-inputPath", + inputPath, + "-bipScorePath", + bipScoresPath, + "-resultTableName", + "eu.dnetlib.dhp.schema.oaf.Publication", + "-outputPath", + workingDir.toString() + "/actionSet" + }); + + + final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); + + JavaRDD tmp = sc + .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) + .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) + .map(aa -> ((Publication) aa.getPayload())); + + Assertions.assertTrue(tmp.count() == 1); + +// Dataset verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class)); +// verificationDataset.createOrReplaceTempView("project"); + +// Dataset execverification = spark +// .sql( +// "SELECT id, class classification, h2020topiccode, h2020topicdescription FROM project LATERAL VIEW EXPLODE(h2020classification) c as class "); +// +// Assertions +// .assertEquals( +// "H2020-EU.3.4.7.", +// execverification +// .filter("id = '40|corda__h2020::2c7298913008865ba784e5c1350a0aa5'") +// .select("classification.h2020Programme.code") +// .collectAsList() +// .get(0) +// .getString(0)); + + + + + } + + private static List getMeasure(BipScore value) { + return value.getScoreList() + .stream() + .map(score -> { + Measure m = new Measure(); + m.setId(score.getId()); + m.setUnit(score.getUnit().stream() + .map(unit -> { + eu.dnetlib.dhp.schema.oaf.KeyValue kv = new KeyValue(); + kv.setValue(unit.getValue()); + kv.setKey(unit.getKey()); + kv.setDataInfo(getDataInfo()); + return kv; + }).collect(Collectors.toList())); + return m; + }).collect(Collectors.toList()); + } + + + private static DataInfo getDataInfo() { + DataInfo di = new DataInfo(); + di.setInferred(false); + di.setInvisible(false); + di.setDeletedbyinference(false); + di.setTrust(""); + Qualifier qualifier = new Qualifier(); + qualifier.setClassid("sysimport:actionset"); + qualifier.setClassname("Harvested"); + qualifier.setSchemename("dnet:provenanceActions"); + qualifier.setSchemeid("dnet:provenanceActions"); + di.setProvenanceaction(qualifier); + return di; + } +} diff --git a/dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json b/dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json new file mode 100644 index 000000000..a4f3fa8b8 --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json @@ -0,0 +1,1101 @@ +{"10.1001/10-v4n2-hsf10003": [{"id": "influence", "unit": [{"value": "1.62759106106e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.22519296", "key": "score"}]}]} +{"10.1001/2012.jama.10456": [{"id": "influence", "unit": [{"value": "1.66083991022e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.8690688", "key": "score"}]}]} +{"10.1001/2013.jamadermatol.729": [{"id": "influence", "unit": [{"value": "2.0769133069e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.0279936", "key": "score"}]}]} +{"10.1001/archderm.107.6.853": [{"id": "influence", "unit": [{"value": "1.95361113607e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.600657255944", "key": "score"}]}]} +{"10.1001/archderm.1926.02370130020002": [{"id": "influence", "unit": [{"value": "1.48611319422e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "8.20903253662e-16", "key": "score"}]}]} +{"10.1001/archpediatrics.2012.157": [{"id": "influence", "unit": [{"value": "1.42089114725e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.1575936", "key": "score"}]}]} +{"10.1002/bjs.1800830139": [{"id": "influence", "unit": [{"value": "3.73834652128e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "1.73174997252", "key": "score"}]}]} 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Ce qui nous frappe en premier lieu dans le roman de Melchior Mbonimpa, Le Totem des Baranda, c'est l'efficacité de sa fonction didactique. Le livre est porteur d'un message, d'une vision sur l'histoire de l'Afrique des Grands Lacs qu'on rencontre rarement dans l'actualité ou l'histoire immédiate que nous livrent les médias.

Cette thèse se penchera sur un aspect de ce roman qui a particulièrement attiré notre attention: la représentation de la résistance à travers l'affirmation identitaire des personnages féminins. Dans notre analyse de ce thème, nous accordons une grande importance au contexte socioculturel et à l'imaginaire collectif qui nourrissent l'auteur et dans lesquels s'inscrivent ses personnages. L'étude soulignera la fonction sociale de l'écrivain et relèvera la contribution de la fiction à la culture africaine. Nous mettrons en évidence les positions idéologiques de l'auteur et le message de sensibilisation qu'il adresse à diverses catégories de lecteurs: ceux qui se trouvent en Afrique, les Africains de la diaspora, et les lecteurs non-Africains qui s'intéressent à son œuvre. Cette orientation idéologique affecte évidemment la manière dont s'exprime la résistance des pnncIpaux personnages féminins du roman. Elle détermine la place que cette fiction accorde à la femme, et qui correspond sans doute à la place que, selon les souhaits de l'auteur, la femme devrait occuper dans le contexte culturel africain. Notre étude insiste aussi sur le fait que dans ce roman, la modernité se nourrit de la culture traditionnelle et ne renie pas les valeurs du passé.

Ainsi, le parcours narratif montre que dans leur résistance, les héroïnes de la généalogie vivent à leur époque, mais chacune porte plus loin une mission transmise par les précédentes.

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The superconducting transition in the magnetic resistance of members of the family of bismuth based high temperature superconductors was investigated. Measurements were performed in magnetic fields up to 1.7 T. Small current densities ranging from 0.03 A/cm² to 3.0 A/cm² were applied. The resistivity of Bi₂Sr₂CaCu₂Ox single crystals was analyzed in terms of the thermally activated flux flow expression, ρ =ρ₀U/T exp(-U/T) where T is the temperature. It was found that the activation energy was given by Uα(Hsinθ)^(⁻α) where α≈1/3 and that the prefactor had the form, ρ₀Hsinθ, where H was the applied field and θ the angle of the field with respect to the CuO₂ planes. Results demonstrated that dissipation could be accounted for by the motion of two-dimensional vortices whose density is given by the field, Hsinθ, projected on the CuO₂ planes. Measurements of the resistivity and current dependent resistivity were performed with two Sn-doped and two Sb-doped polycrystalline Bi(1.7)Pb(0.3)Sr₂Ca₂Cu₃O(y) samples. Features in the temperature derivative of the resistivity curves were associated with the presence of a superconducting transition between superconducting grains, coupled by weak links with a distribution of critical currents and critical temperatures, and the superconducting transition within grains. The transition between grains was more strongly suppressed in temperature with the application of a magnetic field in samples with weaker coupling between grains. The presence of a transition in a magnetic field due to weak links between grains was verified at 77 K by the observation of a current dependent resistivity in a magnetic field. Measurements of a Bi₂Sr₂CaCu₂Ox diffusion grown thick film ring were done. The transverse voltage, the voltage at the centre of a 120 μm thick branch with respect to the centre of a 76 μm thick branch, was measured. A higher critical temperature from the presence of more texturing in the 76 μm branch as determined by separate resistivity, x-ray and scanning electron microscopy measurements was consistent with the measurement of a crossover from a negative to positive transverse voltage as the temperature of the sample went through its superconducting transition.

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This study examines Leonard Cohen's novel Beautiful Losers through the lenses of allegorical and authorial theories to appreciate how the novel uses allegorical techniques to code into symbolic terms an exploration of the polysemous nature of the word ''translation.'' The first chapter studies the stylistic and conceptual dimensions of allegory as a literary genre - as critics like Northrop Frye, Angus Fletchet, and Maureen Quilligan help to define it - while arguing that Cohen's novel is consciously allegorical, challenging readers to interpret what it \"means,\" or may mean. The second chapter performs an intensive re-reading of Beautiful Losers, examining how the novel uses complex systems of verbal play (particularly puns) to coordinate a reunification of various dichotomies historical \"reality\"/imaginative myth, secularity/spirituality, enslavement/sanctification, among others - employed throughout the text. The thesis concludes that the novel is perpetually playing with various types of translation (spiritual, linguistic, physical, and so forth), affirming the need for emotionally-charged, devotional forms of expression (like song and prayer) over more clinical attempts to reorder or recreate the world and its inhabitants. Ultimately, this discussion argues that an understanding of the allegorical dimensions of Beautiful Losers may illuminate how Cohen's other works (particularly his songs) may be studied as attempts to associate word with voice, to emphasize the process of expression (translation) rather than just the finished product.

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travail de thèse est consacré à l'extension de l'Inversion Dynamique non-linéaire (NDI-Nonlinear Dynamic Inversion) pour un ensemble plus grand de systèmes non-linéaires, tout en garantissant des conditions de stabilité suffisantes. La NDI a été étudiée dans le cas de diverses applications, y compris en aéronautique et en aérospatiale. Elle permet de calculer des lois de contrôle capables de linéariser et de découpler un modèle non-linéaire à tout point de fonctionnement de son enveloppe d'état. Cependant cette méthode est intrinsèquement non-robuste aux erreurs de modélisation et aux saturations en entrée. En outre, dans un contexte non-linéaire, l'obtention d'une garantie quantifiable du domaine de stabilité atteint reste à l'heure actuelle complexe. Contrairement aux approches classiques de la NDI, notre méthodologie peut être considérée comme un cadre de compensation non-linéaire généralisé qui permet d'intégrer les incertitudes et les saturations en entrée dans le processus de conception. En utilisant des stratégies de contrôle antiwindup, la loi de pilotage peut être calculée grâce à un simple processus en deux phases. Dans ce cadre de travail généralisé des transformations linéaires fractionnaires (LFT - Linear Fractional Transformations) de la boucle fermée non-linéaire peuvent être facilement déduites pour l'analyse de la stabilité robuste en utilisant des outils standards pour de systèmes linéaires. La méthode proposée est testée pour le pilotage d'un véhicule de rentrée atmosphérique de type aile delta lors de ses phases hypersonique, transsonique et subsonique. Pour cette thèse, un simulateur du vol incluant divers facteurs externes ainsi que des erreurs de modélisation a été développé dans Simulink.\n\nThis thesis work is devoted to extending Nonlinear Dynamic Inversion (NDI) for a large scale of\nnonlinear systems while guaranteeing sufficient stability conditions. NDI has been studied in a wide range of applications, including aeronautics and aerospace. It allows to compute nonlinear control laws able to decouple and linearize a model at any operating point of its state envelope. However, this method is inherently non-robust to modelling errors and input saturations. Moreover, obtaining a quantifiable guarantee of the attained stability domain in a nonlinear control context is not a very straightforward task. Unlike standard NDI approaches, our methodology can be viewed as a generalized nonlinear compensation framework which allows to incorporate uncertainties and input saturations in the design process. Paralleling anti-windup strategies, the controller can be computed through a single multichannel optimization problem or through a simple two-step process. Within this framework, linear fractional transformations of the nonlinear closed-loop can be easily derived for robust stability analysis using standard tools for linear systems. The proposed method is tested for the flight control of a delta wing type reentry vehicle at hypersonic, transonic and subsonic phases of the atmospheric reentry. For this thesis work, a Flight Mechanics simulator including diverse external factors and modelling errors was developed in Simulink."}],"externalReference":[],"extraInfo":[],"format":[],"fulltext":[],"id":"50|artemis___fr::630e47d8b572e3df0e91327d6d8f036d","instance":[{"accessright":{"classid":"OPEN","classname":"Open Access","schemeid":"dnet:access_modes","schemename":"dnet:access_modes"},"collectedfrom":{"key":"10|driver______::66c20c26ac26136628f5207819ae1abc","value":"Archives des thèses et mémoires de l’ISAE (ArTeMIS)"},"dateofacceptance":{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"","inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:repository","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"value":"2012-09-21"},"distributionlocation":"","hostedby":{"key":"10|driver______::66c20c26ac26136628f5207819ae1abc","value":"Archives des thèses et mémoires de l’ISAE 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b/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Measure.java index c0c14d10d..78a4c6801 100644 --- a/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Measure.java +++ b/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Measure.java @@ -1,6 +1,7 @@ package eu.dnetlib.dhp.schema.oaf; +import java.io.Serializable; import java.util.List; import com.google.common.base.Objects; @@ -8,7 +9,7 @@ import com.google.common.base.Objects; /** * Represent a measure, must be further described by a system available resource providing name and descriptions. */ -public class Measure { +public class Measure implements Serializable { /** * Unique measure identifier. @@ -16,7 +17,7 @@ public class Measure { private String id; /** - * List of units associated with this measure. KeyValue provides a pair to store the laber (key) and the value, plus + * List of units associated with this measure. KeyValue provides a pair to store the label (key) and the value, plus * common provenance information. */ private List unit; From 719da15f04356d550ce162e8328644fd4fb021bc Mon Sep 17 00:00:00 2001 From: "miriam.baglioni" Date: Tue, 1 Dec 2020 12:42:30 +0100 Subject: [PATCH 03/40] added test resources --- .../actionmanager/bipfinder/publication_2.json | 18 ++++++++++++++++++ .../actionmanager/bipfinder/publication_3.json | 18 ++++++++++++++++++ 2 files changed, 36 insertions(+) create mode 100644 dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/publication_2.json create mode 100644 dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/publication_3.json diff --git a/dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/publication_2.json b/dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/publication_2.json new file mode 100644 index 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Ce qui nous frappe en premier lieu dans le roman de Melchior Mbonimpa, Le Totem des Baranda, c'est l'efficacité de sa fonction didactique. Le livre est porteur d'un message, d'une vision sur l'histoire de l'Afrique des Grands Lacs qu'on rencontre rarement dans l'actualité ou l'histoire immédiate que nous livrent les médias.

Cette thèse se penchera sur un aspect de ce roman qui a particulièrement attiré notre attention: la représentation de la résistance à travers l'affirmation identitaire des personnages féminins. Dans notre analyse de ce thème, nous accordons une grande importance au contexte socioculturel et à l'imaginaire collectif qui nourrissent l'auteur et dans lesquels s'inscrivent ses personnages. L'étude soulignera la fonction sociale de l'écrivain et relèvera la contribution de la fiction à la culture africaine. Nous mettrons en évidence les positions idéologiques de l'auteur et le message de sensibilisation qu'il adresse à diverses catégories de lecteurs: ceux qui se trouvent en Afrique, les Africains de la diaspora, et les lecteurs non-Africains qui s'intéressent à son œuvre. Cette orientation idéologique affecte évidemment la manière dont s'exprime la résistance des pnncIpaux personnages féminins du roman. Elle détermine la place que cette fiction accorde à la femme, et qui correspond sans doute à la place que, selon les souhaits de l'auteur, la femme devrait occuper dans le contexte culturel africain. Notre étude insiste aussi sur le fait que dans ce roman, la modernité se nourrit de la culture traditionnelle et ne renie pas les valeurs du passé.

Ainsi, le parcours narratif montre que dans leur résistance, les héroïnes de la généalogie vivent à leur époque, mais chacune porte plus loin une mission transmise par les précédentes.

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The superconducting transition in the magnetic resistance of members of the family of bismuth based high temperature superconductors was investigated. Measurements were performed in magnetic fields up to 1.7 T. Small current densities ranging from 0.03 A/cm² to 3.0 A/cm² were applied. The resistivity of Bi₂Sr₂CaCu₂Ox single crystals was analyzed in terms of the thermally activated flux flow expression, ρ =ρ₀U/T exp(-U/T) where T is the temperature. It was found that the activation energy was given by Uα(Hsinθ)^(⁻α) where α≈1/3 and that the prefactor had the form, ρ₀Hsinθ, where H was the applied field and θ the angle of the field with respect to the CuO₂ planes. Results demonstrated that dissipation could be accounted for by the motion of two-dimensional vortices whose density is given by the field, Hsinθ, projected on the CuO₂ planes. Measurements of the resistivity and current dependent resistivity were performed with two Sn-doped and two Sb-doped polycrystalline Bi(1.7)Pb(0.3)Sr₂Ca₂Cu₃O(y) samples. Features in the temperature derivative of the resistivity curves were associated with the presence of a superconducting transition between superconducting grains, coupled by weak links with a distribution of critical currents and critical temperatures, and the superconducting transition within grains. The transition between grains was more strongly suppressed in temperature with the application of a magnetic field in samples with weaker coupling between grains. The presence of a transition in a magnetic field due to weak links between grains was verified at 77 K by the observation of a current dependent resistivity in a magnetic field. Measurements of a Bi₂Sr₂CaCu₂Ox diffusion grown thick film ring were done. The transverse voltage, the voltage at the centre of a 120 μm thick branch with respect to the centre of a 76 μm thick branch, was measured. A higher critical temperature from the presence of more texturing in the 76 μm branch as determined by separate resistivity, x-ray and scanning electron microscopy measurements was consistent with the measurement of a crossover from a negative to positive transverse voltage as the temperature of the sample went through its superconducting transition.

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This study examines Leonard Cohen's novel Beautiful Losers through the lenses of allegorical and authorial theories to appreciate how the novel uses allegorical techniques to code into symbolic terms an exploration of the polysemous nature of the word ''translation.'' The first chapter studies the stylistic and conceptual dimensions of allegory as a literary genre - as critics like Northrop Frye, Angus Fletchet, and Maureen Quilligan help to define it - while arguing that Cohen's novel is consciously allegorical, challenging readers to interpret what it \"means,\" or may mean. The second chapter performs an intensive re-reading of Beautiful Losers, examining how the novel uses complex systems of verbal play (particularly puns) to coordinate a reunification of various dichotomies historical \"reality\"/imaginative myth, secularity/spirituality, enslavement/sanctification, among others - employed throughout the text. The thesis concludes that the novel is perpetually playing with various types of translation (spiritual, linguistic, physical, and so forth), affirming the need for emotionally-charged, devotional forms of expression (like song and prayer) over more clinical attempts to reorder or recreate the world and its inhabitants. Ultimately, this discussion argues that an understanding of the allegorical dimensions of Beautiful Losers may illuminate how Cohen's other works (particularly his songs) may be studied as attempts to associate word with voice, to emphasize the process of expression (translation) rather than just the finished product.

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La NDI a été étudiée dans le cas de diverses applications, y compris en aéronautique et en aérospatiale. Elle permet de calculer des lois de contrôle capables de linéariser et de découpler un modèle non-linéaire à tout point de fonctionnement de son enveloppe d'état. Cependant cette méthode est intrinsèquement non-robuste aux erreurs de modélisation et aux saturations en entrée. En outre, dans un contexte non-linéaire, l'obtention d'une garantie quantifiable du domaine de stabilité atteint reste à l'heure actuelle complexe. Contrairement aux approches classiques de la NDI, notre méthodologie peut être considérée comme un cadre de compensation non-linéaire généralisé qui permet d'intégrer les incertitudes et les saturations en entrée dans le processus de conception. En utilisant des stratégies de contrôle antiwindup, la loi de pilotage peut être calculée grâce à un simple processus en deux phases. Dans ce cadre de travail généralisé des transformations linéaires fractionnaires (LFT - Linear Fractional Transformations) de la boucle fermée non-linéaire peuvent être facilement déduites pour l'analyse de la stabilité robuste en utilisant des outils standards pour de systèmes linéaires. La méthode proposée est testée pour le pilotage d'un véhicule de rentrée atmosphérique de type aile delta lors de ses phases hypersonique, transsonique et subsonique. Pour cette thèse, un simulateur du vol incluant divers facteurs externes ainsi que des erreurs de modélisation a été développé dans Simulink.\n\nThis thesis work is devoted to extending Nonlinear Dynamic Inversion (NDI) for a large scale of\nnonlinear systems while guaranteeing sufficient stability conditions. NDI has been studied in a wide range of applications, including aeronautics and aerospace. It allows to compute nonlinear control laws able to decouple and linearize a model at any operating point of its state envelope. 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central problem for the function and manufacture of materials where performance relies on nanoscale structure is to control the compatibility and interactions of the building blocks. 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Ce qui nous frappe en premier lieu dans le roman de Melchior Mbonimpa, Le Totem des Baranda, c'est l'efficacité de sa fonction didactique. Le livre est porteur d'un message, d'une vision sur l'histoire de l'Afrique des Grands Lacs qu'on rencontre rarement dans l'actualité ou l'histoire immédiate que nous livrent les médias.

Cette thèse se penchera sur un aspect de ce roman qui a particulièrement attiré notre attention: la représentation de la résistance à travers l'affirmation identitaire des personnages féminins. Dans notre analyse de ce thème, nous accordons une grande importance au contexte socioculturel et à l'imaginaire collectif qui nourrissent l'auteur et dans lesquels s'inscrivent ses personnages. L'étude soulignera la fonction sociale de l'écrivain et relèvera la contribution de la fiction à la culture africaine. Nous mettrons en évidence les positions idéologiques de l'auteur et le message de sensibilisation qu'il adresse à diverses catégories de lecteurs: ceux qui se trouvent en Afrique, les Africains de la diaspora, et les lecteurs non-Africains qui s'intéressent à son œuvre. Cette orientation idéologique affecte évidemment la manière dont s'exprime la résistance des pnncIpaux personnages féminins du roman. Elle détermine la place que cette fiction accorde à la femme, et qui correspond sans doute à la place que, selon les souhaits de l'auteur, la femme devrait occuper dans le contexte culturel africain. Notre étude insiste aussi sur le fait que dans ce roman, la modernité se nourrit de la culture traditionnelle et ne renie pas les valeurs du passé.

Ainsi, le parcours narratif montre que dans leur résistance, les héroïnes de la généalogie vivent à leur époque, mais chacune porte plus loin une mission transmise par les précédentes.

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The superconducting transition in the magnetic resistance of members of the family of bismuth based high temperature superconductors was investigated. Measurements were performed in magnetic fields up to 1.7 T. Small current densities ranging from 0.03 A/cm² to 3.0 A/cm² were applied. The resistivity of Bi₂Sr₂CaCu₂Ox single crystals was analyzed in terms of the thermally activated flux flow expression, ρ =ρ₀U/T exp(-U/T) where T is the temperature. It was found that the activation energy was given by Uα(Hsinθ)^(⁻α) where α≈1/3 and that the prefactor had the form, ρ₀Hsinθ, where H was the applied field and θ the angle of the field with respect to the CuO₂ planes. Results demonstrated that dissipation could be accounted for by the motion of two-dimensional vortices whose density is given by the field, Hsinθ, projected on the CuO₂ planes. Measurements of the resistivity and current dependent resistivity were performed with two Sn-doped and two Sb-doped polycrystalline Bi(1.7)Pb(0.3)Sr₂Ca₂Cu₃O(y) samples. Features in the temperature derivative of the resistivity curves were associated with the presence of a superconducting transition between superconducting grains, coupled by weak links with a distribution of critical currents and critical temperatures, and the superconducting transition within grains. The transition between grains was more strongly suppressed in temperature with the application of a magnetic field in samples with weaker coupling between grains. The presence of a transition in a magnetic field due to weak links between grains was verified at 77 K by the observation of a current dependent resistivity in a magnetic field. Measurements of a Bi₂Sr₂CaCu₂Ox diffusion grown thick film ring were done. The transverse voltage, the voltage at the centre of a 120 μm thick branch with respect to the centre of a 76 μm thick branch, was measured. A higher critical temperature from the presence of more texturing in the 76 μm branch as determined by separate resistivity, x-ray and scanning electron microscopy measurements was consistent with the measurement of a crossover from a negative to positive transverse voltage as the temperature of the sample went through its superconducting transition.

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This study examines Leonard Cohen's novel Beautiful Losers through the lenses of allegorical and authorial theories to appreciate how the novel uses allegorical techniques to code into symbolic terms an exploration of the polysemous nature of the word ''translation.'' The first chapter studies the stylistic and conceptual dimensions of allegory as a literary genre - as critics like Northrop Frye, Angus Fletchet, and Maureen Quilligan help to define it - while arguing that Cohen's novel is consciously allegorical, challenging readers to interpret what it \"means,\" or may mean. The second chapter performs an intensive re-reading of Beautiful Losers, examining how the novel uses complex systems of verbal play (particularly puns) to coordinate a reunification of various dichotomies historical \"reality\"/imaginative myth, secularity/spirituality, enslavement/sanctification, among others - employed throughout the text. The thesis concludes that the novel is perpetually playing with various types of translation (spiritual, linguistic, physical, and so forth), affirming the need for emotionally-charged, devotional forms of expression (like song and prayer) over more clinical attempts to reorder or recreate the world and its inhabitants. Ultimately, this discussion argues that an understanding of the allegorical dimensions of Beautiful Losers may illuminate how Cohen's other works (particularly his songs) may be studied as attempts to associate word with voice, to emphasize the process of expression (translation) rather than just the finished product.

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Dans ce cadre de travail généralisé des transformations linéaires fractionnaires (LFT - Linear Fractional Transformations) de la boucle fermée non-linéaire peuvent être facilement déduites pour l'analyse de la stabilité robuste en utilisant des outils standards pour de systèmes linéaires. La méthode proposée est testée pour le pilotage d'un véhicule de rentrée atmosphérique de type aile delta lors de ses phases hypersonique, transsonique et subsonique. Pour cette thèse, un simulateur du vol incluant divers facteurs externes ainsi que des erreurs de modélisation a été développé dans Simulink.\n\nThis thesis work is devoted to extending Nonlinear Dynamic Inversion (NDI) for a large scale of\nnonlinear systems while guaranteeing sufficient stability conditions. NDI has been studied in a wide range of applications, including aeronautics and aerospace. It allows to compute nonlinear control laws able to decouple and linearize a model at any operating point of its state envelope. 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reentry"},{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"","inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:repository","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"qualifier":{"classid":"keyword","classname":"keyword","schemeid":"dnet:result_subject","schemename":"dnet:result_subject"},"value":"629.8"}],"title":[{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"","inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:repository","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"qualifier":{"classid":"main title","classname":"main title","schemeid":"dnet:dataCite_title","schemename":"dnet:dataCite_title"},"value":"Cadre de travail généralisé de compensation non-linéaire robuste : application à la rentrée atmosphérique"},{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"","inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:repository","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"qualifier":{"classid":"main title","classname":"main title","schemeid":"dnet:dataCite_title","schemename":"dnet:dataCite_title"},"value":"A generalized framework for robust nonlinear compensation : application to an atmospheric reentry control problem"}]} \ No newline at end of file From 0051ebede575a5effa945e8ec9813c52f3ff6356 Mon Sep 17 00:00:00 2001 From: "miriam.baglioni" Date: Tue, 1 Dec 2020 12:43:03 +0100 Subject: [PATCH 04/40] extending test --- .../SparkAtomicActionScoreJobTest.java | 196 ++++++++++++++---- 1 file changed, 150 insertions(+), 46 deletions(-) diff --git a/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java b/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java index 64518234e..3b360f6ed 100644 --- a/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java +++ b/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java @@ -16,6 +16,7 @@ import org.apache.spark.api.java.function.MapFunction; import org.apache.spark.api.java.function.MapGroupsFunction; import org.apache.spark.sql.Dataset; import org.apache.spark.sql.Encoders; +import org.apache.spark.sql.Row; import org.apache.spark.sql.SparkSession; import org.junit.jupiter.api.AfterAll; import org.junit.jupiter.api.Assertions; @@ -71,7 +72,7 @@ public class SparkAtomicActionScoreJobTest { } @Test - public void numberDistinctProjectTest() throws Exception { + public void matchOne() throws Exception { String bipScoresPath = getClass().getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json").getPath(); String inputPath = getClass() .getResource( @@ -102,59 +103,162 @@ public class SparkAtomicActionScoreJobTest { Assertions.assertTrue(tmp.count() == 1); -// Dataset verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class)); -// verificationDataset.createOrReplaceTempView("project"); + Dataset verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class)); + verificationDataset.createOrReplaceTempView("publication"); -// Dataset execverification = spark -// .sql( -// "SELECT id, class classification, h2020topiccode, h2020topicdescription FROM project LATERAL VIEW EXPLODE(h2020classification) c as class "); -// -// Assertions -// .assertEquals( -// "H2020-EU.3.4.7.", -// execverification -// .filter("id = '40|corda__h2020::2c7298913008865ba784e5c1350a0aa5'") -// .select("classification.h2020Programme.code") -// .collectAsList() -// .get(0) -// .getString(0)); + Dataset execVerification = spark.sql("Select p.id oaid, mes.id, mUnit.value from publication p " + + "lateral view explode(measures) m as mes " + + "lateral view explode(mes.unit) u as mUnit "); + + Assertions.assertEquals(2, execVerification.count()); + + Assertions.assertEquals("50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb", + execVerification.select("oaid").collectAsList().get(0).getString(0)); + + Assertions.assertEquals("1.47565045883e-08", + execVerification.filter("id = 'influence'").select("value").collectAsList().get(0).getString(0)); + + Assertions.assertEquals("0.227515392", + execVerification.filter("id = 'popularity'").select("value").collectAsList().get(0).getString(0)); + + } + + @Test + public void matchOneWithTwo() throws Exception { + String bipScoresPath = getClass().getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json").getPath(); + String inputPath = getClass() + .getResource( + "/eu/dnetlib/dhp/actionmanager/bipfinder/publication_2.json") + .getPath(); + + SparkAtomicActionScoreJob.main( + new String[] { + "-isSparkSessionManaged", + Boolean.FALSE.toString(), + "-inputPath", + inputPath, + "-bipScorePath", + bipScoresPath, + "-resultTableName", + "eu.dnetlib.dhp.schema.oaf.Publication", + "-outputPath", + workingDir.toString() + "/actionSet" + }); + final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); + + JavaRDD tmp = sc + .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) + .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) + .map(aa -> ((Publication) aa.getPayload())); + + Assertions.assertTrue(tmp.count() == 1); + + Dataset verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class)); + verificationDataset.createOrReplaceTempView("publication"); + + Dataset execVerification = spark.sql("Select p.id oaid, mes.id, mUnit.value from publication p " + + "lateral view explode(measures) m as mes " + + "lateral view explode(mes.unit) u as mUnit "); + + Assertions.assertEquals(4, execVerification.count()); + + + Assertions.assertEquals("50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb", + execVerification.select("oaid").collectAsList().get(0).getString(0)); + + Assertions.assertEquals(2, + execVerification.filter("id = 'influence'").count()); + + Assertions.assertEquals(2, + execVerification.filter("id = 'popularity'").count()); + + List tmp_ds = execVerification.filter("id = 'influence'").select("value").collectAsList(); + String tmp_influence = tmp_ds.get(0).getString(0); + Assertions.assertTrue("1.47565045883e-08".equals(tmp_influence)|| + "1.98956540239e-08".equals(tmp_influence) ); + + tmp_influence = tmp_ds.get(1).getString(0); + Assertions.assertTrue("1.47565045883e-08".equals(tmp_influence)|| + "1.98956540239e-08".equals(tmp_influence) ); + + Assertions.assertTrue(!tmp_ds.get(0).getString(0).equals(tmp_ds.get(1).getString(0))); } - private static List getMeasure(BipScore value) { - return value.getScoreList() - .stream() - .map(score -> { - Measure m = new Measure(); - m.setId(score.getId()); - m.setUnit(score.getUnit().stream() - .map(unit -> { - eu.dnetlib.dhp.schema.oaf.KeyValue kv = new KeyValue(); - kv.setValue(unit.getValue()); - kv.setKey(unit.getKey()); - kv.setDataInfo(getDataInfo()); - return kv; - }).collect(Collectors.toList())); - return m; - }).collect(Collectors.toList()); - } + @Test + public void matchTwo() throws Exception { + String bipScoresPath = getClass().getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json").getPath(); + String inputPath = getClass() + .getResource( + "/eu/dnetlib/dhp/actionmanager/bipfinder/publication_3.json") + .getPath(); + + SparkAtomicActionScoreJob.main( + new String[] { + "-isSparkSessionManaged", + Boolean.FALSE.toString(), + "-inputPath", + inputPath, + "-bipScorePath", + bipScoresPath, + "-resultTableName", + "eu.dnetlib.dhp.schema.oaf.Publication", + "-outputPath", + workingDir.toString() + "/actionSet" + }); - private static DataInfo getDataInfo() { - DataInfo di = new DataInfo(); - di.setInferred(false); - di.setInvisible(false); - di.setDeletedbyinference(false); - di.setTrust(""); - Qualifier qualifier = new Qualifier(); - qualifier.setClassid("sysimport:actionset"); - qualifier.setClassname("Harvested"); - qualifier.setSchemename("dnet:provenanceActions"); - qualifier.setSchemeid("dnet:provenanceActions"); - di.setProvenanceaction(qualifier); - return di; + final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); + + JavaRDD tmp = sc + .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) + .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) + .map(aa -> ((Publication) aa.getPayload())); + + Assertions.assertTrue(tmp.count() == 2); + + Dataset verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class)); + verificationDataset.createOrReplaceTempView("publication"); + + Dataset execVerification = spark.sql("Select p.id oaid, mes.id, mUnit.value from publication p " + + "lateral view explode(measures) m as mes " + + "lateral view explode(mes.unit) u as mUnit "); + + Assertions.assertEquals(4, execVerification.count()); + + + Assertions.assertEquals(2, + execVerification.filter("oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb'").count()); + + Assertions.assertEquals(2, + execVerification.filter("oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09'").count()); + + + Assertions.assertEquals(2, + execVerification.filter("id = 'influence'").count()); + + Assertions.assertEquals(2, + execVerification.filter("id = 'popularity'").count()); + + Assertions.assertEquals("1.47565045883e-08" , + execVerification.filter("oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb' " + + "and id = 'influence'").select("value").collectAsList().get(0).getString(0)); + + Assertions.assertEquals( + "1.98956540239e-08", execVerification.filter("oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09' " + + "and id = 'influence'").select("value").collectAsList().get(0).getString(0)); + + Assertions.assertEquals( + "0.282046161584", execVerification.filter("oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09' " + + "and id = 'popularity'").select("value").collectAsList().get(0).getString(0)); + + Assertions.assertEquals("0.227515392" , + execVerification.filter("oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb' " + + "and id = 'popularity'").select("value").collectAsList().get(0).getString(0)); + } + } From 45d06c45c7a9bea15dcfeeb93eac217ba0de36de Mon Sep 17 00:00:00 2001 From: "miriam.baglioni" Date: Tue, 1 Dec 2020 14:29:18 +0100 Subject: [PATCH 05/40] collecting all the atoic actions for result type and save them all in the AS path --- .../bipfinder/CollectAndSave.java | 85 +++++++++ .../bipfinder/input_actionset_parameter.json | 32 ++++ .../bipfinder/oozie_app/config-default.xml | 58 +++++++ .../bipfinder/oozie_app/workflow.xml | 163 ++++++++++++++++++ 4 files changed, 338 insertions(+) create mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/CollectAndSave.java create mode 100644 dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json create mode 100644 dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/config-default.xml create mode 100644 dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/CollectAndSave.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/CollectAndSave.java new file mode 100644 index 000000000..7164fc5ed --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/CollectAndSave.java @@ -0,0 +1,85 @@ + +package eu.dnetlib.dhp.actionmanager.bipfinder; + +import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession; + +import java.io.Serializable; +import java.util.Optional; + +import org.apache.commons.io.IOUtils; +import org.apache.hadoop.io.Text; +import org.apache.hadoop.mapred.SequenceFileOutputFormat; +import org.apache.spark.SparkConf; +import org.apache.spark.api.java.JavaPairRDD; +import org.apache.spark.api.java.JavaSparkContext; +import org.apache.spark.api.java.function.MapFunction; +import org.apache.spark.sql.Dataset; +import org.apache.spark.sql.Encoders; +import org.apache.spark.sql.SparkSession; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import com.fasterxml.jackson.databind.ObjectMapper; + +import eu.dnetlib.dhp.application.ArgumentApplicationParser; +import eu.dnetlib.dhp.common.HdfsSupport; +import eu.dnetlib.dhp.schema.oaf.Result; + +public class CollectAndSave implements Serializable { + + private static final Logger log = LoggerFactory.getLogger(CollectAndSave.class); + private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); + + public static void main(String[] args) throws Exception { + + String jsonConfiguration = IOUtils + .toString( + CollectAndSave.class + .getResourceAsStream( + "/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json")); + + final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration); + + parser.parseArgument(args); + + Boolean isSparkSessionManaged = Optional + .ofNullable(parser.get("isSparkSessionManaged")) + .map(Boolean::valueOf) + .orElse(Boolean.TRUE); + + log.info("isSparkSessionManaged: {}", isSparkSessionManaged); + + final String inputPath = parser.get("inputPath"); + log.info("inputPath {}: ", inputPath); + + final String outputPath = parser.get("outputPath"); + log.info("outputPath {}: ", outputPath); + + SparkConf conf = new SparkConf(); + + runWithSparkSession( + conf, + isSparkSessionManaged, + spark -> { + removeOutputDir(spark, outputPath); + collectAndSave(spark, inputPath, outputPath); + }); + } + + private static void collectAndSave(SparkSession spark, String inputPath, String outputPath) { + JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext()); + + sc + .sequenceFile(inputPath + "/publication", Text.class, Text.class) + .union(sc.sequenceFile(inputPath + "/dataset", Text.class, Text.class)) + .union(sc.sequenceFile(inputPath + "/otherresearchproduct", Text.class, Text.class)) + .union(sc.sequenceFile(inputPath + "/software", Text.class, Text.class)) + .saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class); + ; + } + + private static void removeOutputDir(SparkSession spark, String path) { + HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration()); + } + +} diff --git a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json new file mode 100644 index 000000000..ae844a0c9 --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json @@ -0,0 +1,32 @@ +[ + { + "paramName": "issm", + "paramLongName": "isSparkSessionManaged", + "paramDescription": "when true will stop SparkSession after job execution", + "paramRequired": false +}, +{ +"paramName": "ip", +"paramLongName": "inputPath", +"paramDescription": "the URL from where to get the programme file", +"paramRequired": true +}, +{ +"paramName": "o", +"paramLongName": "outputPath", +"paramDescription": "the path of the new ActionSet", +"paramRequired": true +}, + { + "paramName": "rtn", + "paramLongName": "resultTableName", + "paramDescription": "the path of the new ActionSet", + "paramRequired": true + }, + { + "paramName": "bsp", + "paramLongName": "bipScorePath", + "paramDescription": "the path of the new ActionSet", + "paramRequired": true + } +] \ No newline at end of file diff --git a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/config-default.xml b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/config-default.xml new file mode 100644 index 000000000..a1755f329 --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/config-default.xml @@ -0,0 +1,58 @@ + + + jobTracker + yarnRM + + + nameNode + hdfs://nameservice1 + + + oozie.use.system.libpath + true + + + oozie.action.sharelib.for.spark + spark2 + + + hive_metastore_uris + thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083 + + + spark2YarnHistoryServerAddress + http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089 + + + spark2ExtraListeners + com.cloudera.spark.lineage.NavigatorAppListener + + + spark2SqlQueryExecutionListeners + com.cloudera.spark.lineage.NavigatorQueryListener + + + oozie.launcher.mapreduce.user.classpath.first + true + + + sparkExecutorNumber + 4 + + + spark2EventLogDir + /user/spark/spark2ApplicationHistory + + + sparkDriverMemory + 15G + + + sparkExecutorMemory + 6G + + + sparkExecutorCores + 1 + + \ No newline at end of file diff --git a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml new file mode 100644 index 000000000..c710c8b55 --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml @@ -0,0 +1,163 @@ + + + + projectFileURL + the url where to get the projects file + + + + programmeFileURL + the url where to get the programme file + + + + topicFileURL + the url where to get the topic file + + + outputPath + path where to store the action set + + + + + + Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}] + + + + + + + + + + + + + + + eu.dnetlib.dhp.actionmanager.project.utils.ReadCSV + --hdfsNameNode${nameNode} + --fileURL${projectFileURL} + --hdfsPath${workingDir}/projects + --classForNameeu.dnetlib.dhp.actionmanager.project.utils.CSVProject + + + + + + + + eu.dnetlib.dhp.actionmanager.project.utils.ReadCSV + --hdfsNameNode${nameNode} + --fileURL${programmeFileURL} + --hdfsPath${workingDir}/programme + --classForNameeu.dnetlib.dhp.actionmanager.project.utils.CSVProgramme + + + + + + + + eu.dnetlib.dhp.actionmanager.project.utils.ReadExcel + --hdfsNameNode${nameNode} + --fileURL${topicFileURL} + --hdfsPath${workingDir}/topic + --classForNameeu.dnetlib.dhp.actionmanager.project.utils.EXCELTopic + + + + + + + + eu.dnetlib.dhp.actionmanager.project.ReadProjectsFromDB + --hdfsPath${workingDir}/dbProjects + --hdfsNameNode${nameNode} + --postgresUrl${postgresURL} + --postgresUser${postgresUser} + --postgresPassword${postgresPassword} + + + + + + + + yarn + cluster + PrepareProgramme + eu.dnetlib.dhp.actionmanager.project.PrepareProgramme + dhp-aggregation-${projectVersion}.jar + + --executor-cores=${sparkExecutorCores} + --executor-memory=${sparkExecutorMemory} + --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.shuffle.partitions=3840 + + --programmePath${workingDir}/programme + --outputPath${workingDir}/preparedProgramme + + + + + + + + yarn + cluster + PrepareProjects + eu.dnetlib.dhp.actionmanager.project.PrepareProjects + dhp-aggregation-${projectVersion}.jar + + --executor-cores=${sparkExecutorCores} + --executor-memory=${sparkExecutorMemory} + --driver-memory=${sparkDriverMemory} + --conf spark.extraListeners=${spark2ExtraListeners} + --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners} + --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress} + --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir} + --conf spark.sql.shuffle.partitions=3840 + + --projectPath${workingDir}/projects + --outputPath${workingDir}/preparedProjects + --dbProjectPath${workingDir}/dbProjects + + + + + + + + yarn + cluster + ProjectProgrammeAS + eu.dnetlib.dhp.actionmanager.project.SparkAtomicActionJob + dhp-aggregation-${projectVersion}.jar + + --executor-cores=${sparkExecutorCores} + --executor-memory=${sparkExecutorMemory} + --driver-memory=${sparkDriverMemory} + --conf spark.extraListeners=${spark2ExtraListeners} + --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners} + --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress} + --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir} + --conf spark.sql.shuffle.partitions=3840 + + --projectPath${workingDir}/preparedProjects + --programmePath${workingDir}/preparedProgramme + --topicPath${workingDir}/topic + --outputPath${outputPath} + + + + + + + \ No newline at end of file From 62ff4999e336b1524aaccfa80757baabb0deb634 Mon Sep 17 00:00:00 2001 From: "miriam.baglioni" Date: Tue, 1 Dec 2020 14:30:56 +0100 Subject: [PATCH 06/40] added workflow and last step of collection and save --- .../bipfinder/input_actionset_parameter.json | 14 +- .../bipfinder/oozie_app/workflow.xml | 178 +++++++++--------- 2 files changed, 94 insertions(+), 98 deletions(-) diff --git a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json index ae844a0c9..67911eef1 100644 --- a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json +++ b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json @@ -16,17 +16,5 @@ "paramLongName": "outputPath", "paramDescription": "the path of the new ActionSet", "paramRequired": true -}, - { - "paramName": "rtn", - "paramLongName": "resultTableName", - "paramDescription": "the path of the new ActionSet", - "paramRequired": true - }, - { - "paramName": "bsp", - "paramLongName": "bipScorePath", - "paramDescription": "the path of the new ActionSet", - "paramRequired": true - } +} ] \ No newline at end of file diff --git a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml index c710c8b55..6f74146f1 100644 --- a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml +++ b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml @@ -1,22 +1,17 @@ - + - projectFileURL - the url where to get the projects file + inputPath + the input path of the resources to be extended - programmeFileURL - the url where to get the programme file - - - - topicFileURL - the url where to get the topic file + bipScorePath + the path where to find the bipFinder scores outputPath - path where to store the action set + the path where to store the actionset @@ -31,128 +26,141 @@ - + - - - eu.dnetlib.dhp.actionmanager.project.utils.ReadCSV - --hdfsNameNode${nameNode} - --fileURL${projectFileURL} - --hdfsPath${workingDir}/projects - --classForNameeu.dnetlib.dhp.actionmanager.project.utils.CSVProject - - - - + + + + + + - - - eu.dnetlib.dhp.actionmanager.project.utils.ReadCSV - --hdfsNameNode${nameNode} - --fileURL${programmeFileURL} - --hdfsPath${workingDir}/programme - --classForNameeu.dnetlib.dhp.actionmanager.project.utils.CSVProgramme - - - - - - - - eu.dnetlib.dhp.actionmanager.project.utils.ReadExcel - --hdfsNameNode${nameNode} - --fileURL${topicFileURL} - --hdfsPath${workingDir}/topic - --classForNameeu.dnetlib.dhp.actionmanager.project.utils.EXCELTopic - - - - - - - - eu.dnetlib.dhp.actionmanager.project.ReadProjectsFromDB - --hdfsPath${workingDir}/dbProjects - --hdfsNameNode${nameNode} - --postgresUrl${postgresURL} - --postgresUser${postgresUser} - --postgresPassword${postgresPassword} - - - - - - + yarn cluster - PrepareProgramme - eu.dnetlib.dhp.actionmanager.project.PrepareProgramme + Produces the atomic action with the bip finder scores for publications + eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob dhp-aggregation-${projectVersion}.jar - --executor-cores=${sparkExecutorCores} --executor-memory=${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}${spark2EventLogDir} - --conf spark.sql.shuffle.partitions=3840 + --conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir} - --programmePath${workingDir}/programme - --outputPath${workingDir}/preparedProgramme + --inputPath${inputPath}/publication + --resultTableNameeu.dnetlib.dhp.schema.oaf.Publication + --outputPath${workingDir}/publication + --bipScorePath${bipScorePath} - + - + yarn cluster - PrepareProjects - eu.dnetlib.dhp.actionmanager.project.PrepareProjects + Produces the atomic action with the bip finder scores for datasets + eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob dhp-aggregation-${projectVersion}.jar - --executor-cores=${sparkExecutorCores} --executor-memory=${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}${spark2EventLogDir} - --conf spark.sql.shuffle.partitions=3840 + --conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir} - --projectPath${workingDir}/projects - --outputPath${workingDir}/preparedProjects - --dbProjectPath${workingDir}/dbProjects + --inputPath${inputPath}/dataset + --resultTableNameeu.dnetlib.dhp.schema.oaf.Dataset + --outputPath${workingDir}/otherresearchproduct + --bipScorePath${bipScorePath} - + - + yarn cluster - ProjectProgrammeAS - eu.dnetlib.dhp.actionmanager.project.SparkAtomicActionJob + Produces the atomic action with the bip finder scores for orp + eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob dhp-aggregation-${projectVersion}.jar - --executor-cores=${sparkExecutorCores} --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.shuffle.partitions=3840 + --conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir} - --projectPath${workingDir}/preparedProjects - --programmePath${workingDir}/preparedProgramme - --topicPath${workingDir}/topic + --inputPath${inputPath}/otherresearchproduct + --resultTableNameeu.dnetlib.dhp.schema.oaf.OtherResearchProduct + --outputPath${workingDir}/otherresearchproduct + --bipScorePath${bipScorePath} + + + + + + + + yarn + cluster + Produces the atomic action with the bip finder scores for software + eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob + dhp-aggregation-${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=${sparkSqlWarehouseDir} + + --inputPath${inputPath}/software + --resultTableNameeu.dnetlib.dhp.schema.oaf.Software + --outputPath${workingDir}/software + --bipScorePath${bipScorePath} + + + + + + + + + + yarn + cluster + saves all the aa produced for the several types of results in the as output path + eu.dnetlib.dhp.actionmanager.bipfinder.CollectAndSave + dhp-aggregation-${projectVersion}.jar + + --executor-memory=${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} + + --inputPath${workingDir} --outputPath${outputPath} From 5b3ed70808422c8fc34cf20562f01b3f9cbb3d9e Mon Sep 17 00:00:00 2001 From: "miriam.baglioni" Date: Tue, 1 Dec 2020 14:31:34 +0100 Subject: [PATCH 07/40] refactoring --- .../bipfinder/BipDeserialize.java | 22 +- .../dhp/actionmanager/bipfinder/BipScore.java | 29 +- .../dhp/actionmanager/bipfinder/KeyValue.java | 29 +- .../bipfinder/PreparedResult.java | 29 +- .../dhp/actionmanager/bipfinder/Score.java | 29 +- .../bipfinder/SparkAtomicActionScoreJob.java | 306 ++++++------ .../SparkAtomicActionScoreJobTest.java | 437 ++++++++++-------- 7 files changed, 480 insertions(+), 401 deletions(-) diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java index e68b912b2..2ec3679ce 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java @@ -1,3 +1,4 @@ + package eu.dnetlib.dhp.actionmanager.bipfinder; import java.io.Serializable; @@ -5,19 +6,18 @@ import java.util.ArrayList; import java.util.HashMap; import java.util.List; +public class BipDeserialize extends HashMap> implements Serializable { -public class BipDeserialize extends HashMap> implements Serializable { + public BipDeserialize() { + super(); + } - public BipDeserialize(){ - super(); - } + public List get(String key) { - public List get(String key) { - - if (super.get(key) == null) { - return new ArrayList<>(); - } - return super.get(key); - } + if (super.get(key) == null) { + return new ArrayList<>(); + } + return super.get(key); + } } diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java index b1e381955..3aa2488cd 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java @@ -1,25 +1,26 @@ + package eu.dnetlib.dhp.actionmanager.bipfinder; import java.io.Serializable; import java.util.List; public class BipScore implements Serializable { - private String id; - private List scoreList; + private String id; + private List scoreList; - public String getId() { - return id; - } + public String getId() { + return id; + } - public void setId(String id) { - this.id = id; - } + public void setId(String id) { + this.id = id; + } - public List getScoreList() { - return scoreList; - } + public List getScoreList() { + return scoreList; + } - public void setScoreList(List scoreList) { - this.scoreList = scoreList; - } + public void setScoreList(List scoreList) { + this.scoreList = scoreList; + } } diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/KeyValue.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/KeyValue.java index 1fadae6fe..6909a9634 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/KeyValue.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/KeyValue.java @@ -1,25 +1,26 @@ + package eu.dnetlib.dhp.actionmanager.bipfinder; import java.io.Serializable; public class KeyValue implements Serializable { - private String key; - private String value; + private String key; + private String value; - public String getKey() { - return key; - } + public String getKey() { + return key; + } - public void setKey(String key) { - this.key = key; - } + public void setKey(String key) { + this.key = key; + } - public String getValue() { - return value; - } + public String getValue() { + return value; + } - public void setValue(String value) { - this.value = value; - } + public void setValue(String value) { + this.value = value; + } } diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java index bb7648f0c..3e55ec6bc 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java @@ -1,24 +1,25 @@ + package eu.dnetlib.dhp.actionmanager.bipfinder; import java.io.Serializable; public class PreparedResult implements Serializable { - private String id; //openaire id - private String value; //doi + private String id; // openaire id + private String value; // doi - public String getId() { - return id; - } + public String getId() { + return id; + } - public void setId(String id) { - this.id = id; - } + public void setId(String id) { + this.id = id; + } - public String getValue() { - return value; - } + public String getValue() { + return value; + } - public void setValue(String value) { - this.value = value; - } + public void setValue(String value) { + this.value = value; + } } diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java index b14d971cd..17423fe96 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java @@ -1,3 +1,4 @@ + package eu.dnetlib.dhp.actionmanager.bipfinder; import java.io.Serializable; @@ -5,22 +6,22 @@ import java.util.List; public class Score implements Serializable { - private String id; - private List unit; + private String id; + private List unit; - public String getId() { - return id; - } + public String getId() { + return id; + } - public void setId(String id) { - this.id = id; - } + public void setId(String id) { + this.id = id; + } - public List getUnit() { - return unit; - } + public List getUnit() { + return unit; + } - public void setUnit(List unit) { - this.unit = unit; - } + public void setUnit(List unit) { + this.unit = unit; + } } diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java index 658555e05..1628fca39 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java @@ -1,11 +1,13 @@ + package eu.dnetlib.dhp.actionmanager.bipfinder; -import com.fasterxml.jackson.databind.ObjectMapper; -import eu.dnetlib.dhp.application.ArgumentApplicationParser; -import eu.dnetlib.dhp.common.HdfsSupport; -import eu.dnetlib.dhp.schema.action.AtomicAction; -import eu.dnetlib.dhp.schema.oaf.*; -import eu.dnetlib.dhp.schema.oaf.KeyValue; +import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession; + +import java.io.Serializable; +import java.util.List; +import java.util.Optional; +import java.util.stream.Collectors; + import org.apache.commons.io.IOUtils; import org.apache.hadoop.hdfs.qjournal.protocol.QJournalProtocolProtos; import org.apache.hadoop.io.Text; @@ -22,182 +24,188 @@ import org.apache.spark.sql.Row; import org.apache.spark.sql.SparkSession; import org.slf4j.Logger; import org.slf4j.LoggerFactory; + +import com.fasterxml.jackson.databind.ObjectMapper; + +import eu.dnetlib.dhp.application.ArgumentApplicationParser; +import eu.dnetlib.dhp.common.HdfsSupport; +import eu.dnetlib.dhp.schema.action.AtomicAction; +import eu.dnetlib.dhp.schema.oaf.*; +import eu.dnetlib.dhp.schema.oaf.KeyValue; import scala.Tuple2; -import java.io.Serializable; -import java.util.List; -import java.util.Optional; -import java.util.stream.Collectors; - -import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession; - public class SparkAtomicActionScoreJob implements Serializable { - private static String DOI = "doi"; - private static final Logger log = LoggerFactory.getLogger(SparkAtomicActionScoreJob.class); - private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); + private static String DOI = "doi"; + private static final Logger log = LoggerFactory.getLogger(SparkAtomicActionScoreJob.class); + private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); - public static void main(String[] args) throws Exception { + public static void main(String[] args) throws Exception { - String jsonConfiguration = IOUtils - .toString( - SparkAtomicActionScoreJob.class - .getResourceAsStream( - "/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json")); + String jsonConfiguration = IOUtils + .toString( + SparkAtomicActionScoreJob.class + .getResourceAsStream( + "/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json")); - final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration); + final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration); - parser.parseArgument(args); + parser.parseArgument(args); - Boolean isSparkSessionManaged = Optional - .ofNullable(parser.get("isSparkSessionManaged")) - .map(Boolean::valueOf) - .orElse(Boolean.TRUE); + Boolean isSparkSessionManaged = Optional + .ofNullable(parser.get("isSparkSessionManaged")) + .map(Boolean::valueOf) + .orElse(Boolean.TRUE); - log.info("isSparkSessionManaged: {}", isSparkSessionManaged); + log.info("isSparkSessionManaged: {}", isSparkSessionManaged); - final String inputPath = parser.get("inputPath"); - log.info("inputPath {}: ", inputPath); + final String inputPath = parser.get("inputPath"); + log.info("inputPath {}: ", inputPath); - final String outputPath = parser.get("outputPath"); - log.info("outputPath {}: ", outputPath); + final String outputPath = parser.get("outputPath"); + log.info("outputPath {}: ", outputPath); - final String bipScorePath = parser.get("bipScorePath"); - log.info("bipScorePath: {}", bipScorePath); + final String bipScorePath = parser.get("bipScorePath"); + log.info("bipScorePath: {}", bipScorePath); - final String resultClassName = parser.get("resultTableName"); - log.info("resultTableName: {}", resultClassName); + final String resultClassName = parser.get("resultTableName"); + log.info("resultTableName: {}", resultClassName); - Class inputClazz = (Class) Class.forName(resultClassName); + Class inputClazz = (Class) Class.forName(resultClassName); - SparkConf conf = new SparkConf(); + SparkConf conf = new SparkConf(); - runWithSparkSession( - conf, - isSparkSessionManaged, - spark -> { - removeOutputDir(spark, outputPath); - prepareResults(spark, inputPath, outputPath, bipScorePath, inputClazz); - }); - } + runWithSparkSession( + conf, + isSparkSessionManaged, + spark -> { + removeOutputDir(spark, outputPath); + prepareResults(spark, inputPath, outputPath, bipScorePath, inputClazz); + }); + } - private static void prepareResults(SparkSession spark, String inputPath, String outputPath, - String bipScorePath, Class inputClazz) { + private static void prepareResults(SparkSession spark, String inputPath, String outputPath, + String bipScorePath, Class inputClazz) { - final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); + final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); - JavaRDD bipDeserializeJavaRDD = sc.textFile(bipScorePath) - .map(item -> OBJECT_MAPPER.readValue(item, BipDeserialize.class)); + JavaRDD bipDeserializeJavaRDD = sc + .textFile(bipScorePath) + .map(item -> OBJECT_MAPPER.readValue(item, BipDeserialize.class)); + Dataset bipScores = spark + .createDataset(bipDeserializeJavaRDD.flatMap(entry -> entry.keySet().stream().map(key -> { + BipScore bs = new BipScore(); + bs.setId(key); + bs.setScoreList(entry.get(key)); + return bs; + }).collect(Collectors.toList()).iterator()).rdd(), Encoders.bean(BipScore.class)); - Dataset bipScores = spark.createDataset(bipDeserializeJavaRDD.flatMap(entry -> - entry.keySet().stream().map(key -> { - BipScore bs = new BipScore(); - bs.setId(key); - bs.setScoreList(entry.get(key)); - return bs; - }).collect(Collectors.toList()).iterator() - ).rdd(), Encoders.bean(BipScore.class)); + System.out.println(bipScores.count()); - System.out.println(bipScores.count()); + Dataset results = readPath(spark, inputPath, inputClazz); - Dataset results = readPath(spark, inputPath, inputClazz); + results.createOrReplaceTempView("result"); - results.createOrReplaceTempView("result"); + Dataset preparedResult = spark + .sql( + "select pIde.value value, id " + + "from result " + + "lateral view explode (pid) p as pIde " + + "where dataInfo.deletedbyinference = false and pIde.qualifier.classid = '" + DOI + "'") + .as(Encoders.bean(PreparedResult.class)); - Dataset preparedResult = spark.sql("select pIde.value value, id " + - "from result " + - "lateral view explode (pid) p as pIde " + - "where dataInfo.deletedbyinference = false and pIde.qualifier.classid = '" + DOI + "'") - .as(Encoders.bean(PreparedResult.class)); + Dataset tmp = bipScores + .joinWith( + preparedResult, bipScores.col("id").equalTo(preparedResult.col("value")), + "inner") + .map((MapFunction, BipScore>) value -> { + BipScore ret = value._1(); + ret.setId(value._2().getId()); + return ret; + }, Encoders.bean(BipScore.class)); - Dataset tmp = bipScores.joinWith(preparedResult, bipScores.col("id").equalTo(preparedResult.col("value")), - "inner") - .map((MapFunction, BipScore>) value -> { - BipScore ret = value._1(); - ret.setId(value._2().getId()); - return ret; - }, Encoders.bean(BipScore.class)); + tmp + .groupByKey((MapFunction) value -> value.getId(), Encoders.STRING()) + .mapGroups((MapGroupsFunction) (k, it) -> { + Result ret = inputClazz.newInstance(); + BipScore first = it.next(); + ret.setId(first.getId()); - tmp.groupByKey((MapFunction) value -> value.getId(), Encoders.STRING()) - .mapGroups((MapGroupsFunction) (k, it) -> - { - Result ret = inputClazz.newInstance(); - BipScore first = it.next(); - ret.setId(first.getId()); + ret.setMeasures(getMeasure(first)); + it.forEachRemaining(value -> ret.getMeasures().addAll(getMeasure(value))); - ret.setMeasures(getMeasure(first)); - it.forEachRemaining(value -> ret.getMeasures().addAll(getMeasure(value))); + return (I) ret; + }, Encoders.bean(inputClazz)) + .toJavaRDD() + .map(p -> new AtomicAction(inputClazz, p)) + .mapToPair( + aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()), + new Text(OBJECT_MAPPER.writeValueAsString(aa)))) + .saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class); + ; + } - return (I)ret; - }, Encoders.bean(inputClazz)) - .toJavaRDD() - .map(p -> new AtomicAction(inputClazz, p)) - .mapToPair( - aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()), - new Text(OBJECT_MAPPER.writeValueAsString(aa)))) - .saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class); - ; - } + public static Dataset getBipScoreDataset(Dataset bipdeserialized) { + return bipdeserialized + .flatMap((FlatMapFunction) bip -> bip.keySet().stream().map(key -> { + BipScore bs = new BipScore(); + bs.setId(key); + bs.setScoreList(bip.get(key)); + return bs; + }).collect(Collectors.toList()).iterator(), Encoders.bean(BipScore.class)); + } - public static Dataset getBipScoreDataset(Dataset bipdeserialized){ - return bipdeserialized.flatMap((FlatMapFunction) bip -> - bip.keySet().stream().map(key -> { - BipScore bs = new BipScore(); - bs.setId(key); - bs.setScoreList(bip.get(key)); - return bs; - }).collect(Collectors.toList()).iterator() - , Encoders.bean(BipScore.class)); - } + private static List getMeasure(BipScore value) { + return value + .getScoreList() + .stream() + .map(score -> { + Measure m = new Measure(); + m.setId(score.getId()); + m + .setUnit( + score + .getUnit() + .stream() + .map(unit -> { + KeyValue kv = new KeyValue(); + kv.setValue(unit.getValue()); + kv.setKey(unit.getKey()); + kv.setDataInfo(getDataInfo()); + return kv; + }) + .collect(Collectors.toList())); + return m; + }) + .collect(Collectors.toList()); + } - private static List getMeasure(BipScore value) { - return value.getScoreList() - .stream() - .map(score -> { - Measure m = new Measure(); - m.setId(score.getId()); - m.setUnit(score.getUnit().stream() - .map(unit -> { - KeyValue kv = new KeyValue(); - kv.setValue(unit.getValue()); - kv.setKey(unit.getKey()); - kv.setDataInfo(getDataInfo()); - return kv; - }).collect(Collectors.toList())); - return m; - }).collect(Collectors.toList()); - } + private static DataInfo getDataInfo() { + DataInfo di = new DataInfo(); + di.setInferred(false); + di.setInvisible(false); + di.setDeletedbyinference(false); + di.setTrust(""); + Qualifier qualifier = new Qualifier(); + qualifier.setClassid("sysimport:actionset"); + qualifier.setClassname("Harvested"); + qualifier.setSchemename("dnet:provenanceActions"); + qualifier.setSchemeid("dnet:provenanceActions"); + di.setProvenanceaction(qualifier); + return di; + } + private static void removeOutputDir(SparkSession spark, String path) { + HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration()); + } - - private static DataInfo getDataInfo() { - DataInfo di = new DataInfo(); - di.setInferred(false); - di.setInvisible(false); - di.setDeletedbyinference(false); - di.setTrust(""); - Qualifier qualifier = new Qualifier(); - qualifier.setClassid("sysimport:actionset"); - qualifier.setClassname("Harvested"); - qualifier.setSchemename("dnet:provenanceActions"); - qualifier.setSchemeid("dnet:provenanceActions"); - di.setProvenanceaction(qualifier); - return di; - } - - - private static void removeOutputDir(SparkSession spark, String path) { - HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration()); - } - - public static Dataset readPath( - SparkSession spark, String inputPath, Class clazz) { - return spark - .read() - .textFile(inputPath) - .map((MapFunction) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz)); - } - + public static Dataset readPath( + SparkSession spark, String inputPath, Class clazz) { + return spark + .read() + .textFile(inputPath) + .map((MapFunction) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz)); + } } diff --git a/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java b/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java index 3b360f6ed..4b02e7485 100644 --- a/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java +++ b/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java @@ -1,9 +1,12 @@ + package eu.dnetlib.dhp.actionmanager.bipfinder; -import com.fasterxml.jackson.databind.ObjectMapper; -import eu.dnetlib.dhp.schema.action.AtomicAction; -import eu.dnetlib.dhp.schema.oaf.*; -import eu.dnetlib.dhp.schema.oaf.KeyValue; +import java.io.IOException; +import java.nio.file.Files; +import java.nio.file.Path; +import java.util.List; +import java.util.stream.Collectors; + import org.apache.commons.io.FileUtils; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapred.SequenceFileOutputFormat; @@ -24,241 +27,305 @@ import org.junit.jupiter.api.BeforeAll; import org.junit.jupiter.api.Test; import org.slf4j.Logger; import org.slf4j.LoggerFactory; -import scala.Tuple2; -import java.io.IOException; -import java.nio.file.Files; -import java.nio.file.Path; -import java.util.List; -import java.util.stream.Collectors; +import com.fasterxml.jackson.databind.ObjectMapper; + +import eu.dnetlib.dhp.schema.action.AtomicAction; +import eu.dnetlib.dhp.schema.oaf.*; +import eu.dnetlib.dhp.schema.oaf.KeyValue; +import scala.Tuple2; public class SparkAtomicActionScoreJobTest { - private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); + private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); - private static SparkSession spark; + private static SparkSession spark; - private static Path workingDir; - private static final Logger log = LoggerFactory - .getLogger(SparkAtomicActionScoreJobTest.class); + private static Path workingDir; + private static final Logger log = LoggerFactory + .getLogger(SparkAtomicActionScoreJobTest.class); - @BeforeAll - public static void beforeAll() throws IOException { - workingDir = Files - .createTempDirectory(SparkAtomicActionScoreJobTest.class.getSimpleName()); - log.info("using work dir {}", workingDir); + @BeforeAll + public static void beforeAll() throws IOException { + workingDir = Files + .createTempDirectory(SparkAtomicActionScoreJobTest.class.getSimpleName()); + log.info("using work dir {}", workingDir); - SparkConf conf = new SparkConf(); - conf.setAppName(SparkAtomicActionScoreJobTest.class.getSimpleName()); + SparkConf conf = new SparkConf(); + conf.setAppName(SparkAtomicActionScoreJobTest.class.getSimpleName()); - conf.setMaster("local[*]"); - conf.set("spark.driver.host", "localhost"); - conf.set("hive.metastore.local", "true"); - conf.set("spark.ui.enabled", "false"); - conf.set("spark.sql.warehouse.dir", workingDir.toString()); - conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString()); + conf.setMaster("local[*]"); + conf.set("spark.driver.host", "localhost"); + conf.set("hive.metastore.local", "true"); + conf.set("spark.ui.enabled", "false"); + conf.set("spark.sql.warehouse.dir", workingDir.toString()); + conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString()); - spark = SparkSession - .builder() - .appName(SparkAtomicActionScoreJobTest.class.getSimpleName()) - .config(conf) - .getOrCreate(); - } + spark = SparkSession + .builder() + .appName(SparkAtomicActionScoreJobTest.class.getSimpleName()) + .config(conf) + .getOrCreate(); + } - @AfterAll - public static void afterAll() throws IOException { - FileUtils.deleteDirectory(workingDir.toFile()); - spark.stop(); - } + @AfterAll + public static void afterAll() throws IOException { + FileUtils.deleteDirectory(workingDir.toFile()); + spark.stop(); + } - @Test - public void matchOne() throws Exception { - String bipScoresPath = getClass().getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json").getPath(); - String inputPath = getClass() - .getResource( - "/eu/dnetlib/dhp/actionmanager/bipfinder/publication.json") - .getPath(); + @Test + public void matchOne() throws Exception { + String bipScoresPath = getClass() + .getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json") + .getPath(); + String inputPath = getClass() + .getResource( + "/eu/dnetlib/dhp/actionmanager/bipfinder/publication.json") + .getPath(); - SparkAtomicActionScoreJob.main( - new String[] { - "-isSparkSessionManaged", - Boolean.FALSE.toString(), - "-inputPath", - inputPath, - "-bipScorePath", - bipScoresPath, - "-resultTableName", - "eu.dnetlib.dhp.schema.oaf.Publication", - "-outputPath", - workingDir.toString() + "/actionSet" - }); + SparkAtomicActionScoreJob + .main( + new String[] { + "-isSparkSessionManaged", + Boolean.FALSE.toString(), + "-inputPath", + inputPath, + "-bipScorePath", + bipScoresPath, + "-resultTableName", + "eu.dnetlib.dhp.schema.oaf.Publication", + "-outputPath", + workingDir.toString() + "/actionSet" + }); + final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); - final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); + JavaRDD tmp = sc + .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) + .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) + .map(aa -> ((Publication) aa.getPayload())); - JavaRDD tmp = sc - .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) - .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) - .map(aa -> ((Publication) aa.getPayload())); + Assertions.assertTrue(tmp.count() == 1); - Assertions.assertTrue(tmp.count() == 1); + Dataset verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class)); + verificationDataset.createOrReplaceTempView("publication"); - Dataset verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class)); - verificationDataset.createOrReplaceTempView("publication"); + Dataset execVerification = spark + .sql( + "Select p.id oaid, mes.id, mUnit.value from publication p " + + "lateral view explode(measures) m as mes " + + "lateral view explode(mes.unit) u as mUnit "); - Dataset execVerification = spark.sql("Select p.id oaid, mes.id, mUnit.value from publication p " + - "lateral view explode(measures) m as mes " + - "lateral view explode(mes.unit) u as mUnit "); + Assertions.assertEquals(2, execVerification.count()); - Assertions.assertEquals(2, execVerification.count()); + Assertions + .assertEquals( + "50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb", + execVerification.select("oaid").collectAsList().get(0).getString(0)); - Assertions.assertEquals("50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb", - execVerification.select("oaid").collectAsList().get(0).getString(0)); + Assertions + .assertEquals( + "1.47565045883e-08", + execVerification.filter("id = 'influence'").select("value").collectAsList().get(0).getString(0)); - Assertions.assertEquals("1.47565045883e-08", - execVerification.filter("id = 'influence'").select("value").collectAsList().get(0).getString(0)); + Assertions + .assertEquals( + "0.227515392", + execVerification.filter("id = 'popularity'").select("value").collectAsList().get(0).getString(0)); - Assertions.assertEquals("0.227515392", - execVerification.filter("id = 'popularity'").select("value").collectAsList().get(0).getString(0)); + } - } + @Test + public void matchOneWithTwo() throws Exception { + String bipScoresPath = getClass() + .getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json") + .getPath(); + String inputPath = getClass() + .getResource( + "/eu/dnetlib/dhp/actionmanager/bipfinder/publication_2.json") + .getPath(); - @Test - public void matchOneWithTwo() throws Exception { - String bipScoresPath = getClass().getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json").getPath(); - String inputPath = getClass() - .getResource( - "/eu/dnetlib/dhp/actionmanager/bipfinder/publication_2.json") - .getPath(); + SparkAtomicActionScoreJob + .main( + new String[] { + "-isSparkSessionManaged", + Boolean.FALSE.toString(), + "-inputPath", + inputPath, + "-bipScorePath", + bipScoresPath, + "-resultTableName", + "eu.dnetlib.dhp.schema.oaf.Publication", + "-outputPath", + workingDir.toString() + "/actionSet" + }); - SparkAtomicActionScoreJob.main( - new String[] { - "-isSparkSessionManaged", - Boolean.FALSE.toString(), - "-inputPath", - inputPath, - "-bipScorePath", - bipScoresPath, - "-resultTableName", - "eu.dnetlib.dhp.schema.oaf.Publication", - "-outputPath", - workingDir.toString() + "/actionSet" - }); + final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); + JavaRDD tmp = sc + .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) + .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) + .map(aa -> ((Publication) aa.getPayload())); - final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); + Assertions.assertTrue(tmp.count() == 1); - JavaRDD tmp = sc - .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) - .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) - .map(aa -> ((Publication) aa.getPayload())); + Dataset verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class)); + verificationDataset.createOrReplaceTempView("publication"); - Assertions.assertTrue(tmp.count() == 1); + Dataset execVerification = spark + .sql( + "Select p.id oaid, mes.id, mUnit.value from publication p " + + "lateral view explode(measures) m as mes " + + "lateral view explode(mes.unit) u as mUnit "); - Dataset verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class)); - verificationDataset.createOrReplaceTempView("publication"); + Assertions.assertEquals(4, execVerification.count()); - Dataset execVerification = spark.sql("Select p.id oaid, mes.id, mUnit.value from publication p " + - "lateral view explode(measures) m as mes " + - "lateral view explode(mes.unit) u as mUnit "); + Assertions + .assertEquals( + "50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb", + execVerification.select("oaid").collectAsList().get(0).getString(0)); - Assertions.assertEquals(4, execVerification.count()); + Assertions + .assertEquals( + 2, + execVerification.filter("id = 'influence'").count()); + Assertions + .assertEquals( + 2, + execVerification.filter("id = 'popularity'").count()); - Assertions.assertEquals("50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb", - execVerification.select("oaid").collectAsList().get(0).getString(0)); + List tmp_ds = execVerification.filter("id = 'influence'").select("value").collectAsList(); + String tmp_influence = tmp_ds.get(0).getString(0); + Assertions + .assertTrue( + "1.47565045883e-08".equals(tmp_influence) || + "1.98956540239e-08".equals(tmp_influence)); - Assertions.assertEquals(2, - execVerification.filter("id = 'influence'").count()); + tmp_influence = tmp_ds.get(1).getString(0); + Assertions + .assertTrue( + "1.47565045883e-08".equals(tmp_influence) || + "1.98956540239e-08".equals(tmp_influence)); - Assertions.assertEquals(2, - execVerification.filter("id = 'popularity'").count()); + Assertions.assertTrue(!tmp_ds.get(0).getString(0).equals(tmp_ds.get(1).getString(0))); - List tmp_ds = execVerification.filter("id = 'influence'").select("value").collectAsList(); - String tmp_influence = tmp_ds.get(0).getString(0); - Assertions.assertTrue("1.47565045883e-08".equals(tmp_influence)|| - "1.98956540239e-08".equals(tmp_influence) ); + } - tmp_influence = tmp_ds.get(1).getString(0); - Assertions.assertTrue("1.47565045883e-08".equals(tmp_influence)|| - "1.98956540239e-08".equals(tmp_influence) ); + @Test + public void matchTwo() throws Exception { + String bipScoresPath = getClass() + .getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json") + .getPath(); + String inputPath = getClass() + .getResource( + "/eu/dnetlib/dhp/actionmanager/bipfinder/publication_3.json") + .getPath(); - Assertions.assertTrue(!tmp_ds.get(0).getString(0).equals(tmp_ds.get(1).getString(0))); + SparkAtomicActionScoreJob + .main( + new String[] { + "-isSparkSessionManaged", + Boolean.FALSE.toString(), + "-inputPath", + inputPath, + "-bipScorePath", + bipScoresPath, + "-resultTableName", + "eu.dnetlib.dhp.schema.oaf.Publication", + "-outputPath", + workingDir.toString() + "/actionSet" + }); + final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); - } + JavaRDD tmp = sc + .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) + .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) + .map(aa -> ((Publication) aa.getPayload())); - @Test - public void matchTwo() throws Exception { - String bipScoresPath = getClass().getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json").getPath(); - String inputPath = getClass() - .getResource( - "/eu/dnetlib/dhp/actionmanager/bipfinder/publication_3.json") - .getPath(); + Assertions.assertTrue(tmp.count() == 2); - SparkAtomicActionScoreJob.main( - new String[] { - "-isSparkSessionManaged", - Boolean.FALSE.toString(), - "-inputPath", - inputPath, - "-bipScorePath", - bipScoresPath, - "-resultTableName", - "eu.dnetlib.dhp.schema.oaf.Publication", - "-outputPath", - workingDir.toString() + "/actionSet" - }); + Dataset verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class)); + verificationDataset.createOrReplaceTempView("publication"); + Dataset execVerification = spark + .sql( + "Select p.id oaid, mes.id, mUnit.value from publication p " + + "lateral view explode(measures) m as mes " + + "lateral view explode(mes.unit) u as mUnit "); - final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); + Assertions.assertEquals(4, execVerification.count()); - JavaRDD tmp = sc - .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) - .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) - .map(aa -> ((Publication) aa.getPayload())); + Assertions + .assertEquals( + 2, + execVerification.filter("oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb'").count()); - Assertions.assertTrue(tmp.count() == 2); + Assertions + .assertEquals( + 2, + execVerification.filter("oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09'").count()); - Dataset verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class)); - verificationDataset.createOrReplaceTempView("publication"); + Assertions + .assertEquals( + 2, + execVerification.filter("id = 'influence'").count()); - Dataset execVerification = spark.sql("Select p.id oaid, mes.id, mUnit.value from publication p " + - "lateral view explode(measures) m as mes " + - "lateral view explode(mes.unit) u as mUnit "); + Assertions + .assertEquals( + 2, + execVerification.filter("id = 'popularity'").count()); - Assertions.assertEquals(4, execVerification.count()); + Assertions + .assertEquals( + "1.47565045883e-08", + execVerification + .filter( + "oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb' " + + "and id = 'influence'") + .select("value") + .collectAsList() + .get(0) + .getString(0)); + Assertions + .assertEquals( + "1.98956540239e-08", + execVerification + .filter( + "oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09' " + + "and id = 'influence'") + .select("value") + .collectAsList() + .get(0) + .getString(0)); - Assertions.assertEquals(2, - execVerification.filter("oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb'").count()); + Assertions + .assertEquals( + "0.282046161584", + execVerification + .filter( + "oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09' " + + "and id = 'popularity'") + .select("value") + .collectAsList() + .get(0) + .getString(0)); - Assertions.assertEquals(2, - execVerification.filter("oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09'").count()); + Assertions + .assertEquals( + "0.227515392", + execVerification + .filter( + "oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb' " + + "and id = 'popularity'") + .select("value") + .collectAsList() + .get(0) + .getString(0)); - - Assertions.assertEquals(2, - execVerification.filter("id = 'influence'").count()); - - Assertions.assertEquals(2, - execVerification.filter("id = 'popularity'").count()); - - Assertions.assertEquals("1.47565045883e-08" , - execVerification.filter("oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb' " + - "and id = 'influence'").select("value").collectAsList().get(0).getString(0)); - - Assertions.assertEquals( - "1.98956540239e-08", execVerification.filter("oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09' " + - "and id = 'influence'").select("value").collectAsList().get(0).getString(0)); - - Assertions.assertEquals( - "0.282046161584", execVerification.filter("oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09' " + - "and id = 'popularity'").select("value").collectAsList().get(0).getString(0)); - - Assertions.assertEquals("0.227515392" , - execVerification.filter("oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb' " + - "and id = 'popularity'").select("value").collectAsList().get(0).getString(0)); - - } + } } From 17680296b97a3e70c758fed78508cd789dc4209c Mon Sep 17 00:00:00 2001 From: "miriam.baglioni" Date: Tue, 1 Dec 2020 15:02:31 +0100 Subject: [PATCH 08/40] removed unnecessary variable and unused method --- .../bipfinder/SparkAtomicActionScoreJob.java | 18 ++++-------------- 1 file changed, 4 insertions(+), 14 deletions(-) diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java index 1628fca39..ddf1b3049 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java @@ -8,6 +8,7 @@ import java.util.List; import java.util.Optional; import java.util.stream.Collectors; +import eu.dnetlib.dhp.schema.common.ModelSupport; import org.apache.commons.io.IOUtils; import org.apache.hadoop.hdfs.qjournal.protocol.QJournalProtocolProtos; import org.apache.hadoop.io.Text; @@ -115,7 +116,7 @@ public class SparkAtomicActionScoreJob implements Serializable { "where dataInfo.deletedbyinference = false and pIde.qualifier.classid = '" + DOI + "'") .as(Encoders.bean(PreparedResult.class)); - Dataset tmp = bipScores + bipScores .joinWith( preparedResult, bipScores.col("id").equalTo(preparedResult.col("value")), "inner") @@ -123,9 +124,7 @@ public class SparkAtomicActionScoreJob implements Serializable { BipScore ret = value._1(); ret.setId(value._2().getId()); return ret; - }, Encoders.bean(BipScore.class)); - - tmp + }, Encoders.bean(BipScore.class)) .groupByKey((MapFunction) value -> value.getId(), Encoders.STRING()) .mapGroups((MapGroupsFunction) (k, it) -> { Result ret = inputClazz.newInstance(); @@ -143,18 +142,9 @@ public class SparkAtomicActionScoreJob implements Serializable { aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()), new Text(OBJECT_MAPPER.writeValueAsString(aa)))) .saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class); - ; + } - public static Dataset getBipScoreDataset(Dataset bipdeserialized) { - return bipdeserialized - .flatMap((FlatMapFunction) bip -> bip.keySet().stream().map(key -> { - BipScore bs = new BipScore(); - bs.setId(key); - bs.setScoreList(bip.get(key)); - return bs; - }).collect(Collectors.toList()).iterator(), Encoders.bean(BipScore.class)); - } private static List getMeasure(BipScore value) { return value From 3d62d99d5dadf3a9f96e829bec637de3c1dcb08c Mon Sep 17 00:00:00 2001 From: "miriam.baglioni" Date: Tue, 1 Dec 2020 15:02:49 +0100 Subject: [PATCH 09/40] fixed issue in workflow variable --- .../dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml index 6f74146f1..ea2e9f58a 100644 --- a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml +++ b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml @@ -82,7 +82,7 @@ --inputPath${inputPath}/dataset --resultTableNameeu.dnetlib.dhp.schema.oaf.Dataset - --outputPath${workingDir}/otherresearchproduct + --outputPath${workingDir}/dataset --bipScorePath${bipScorePath} From 888175baf7f751826a13d622f0699353eb9f7612 Mon Sep 17 00:00:00 2001 From: "miriam.baglioni" Date: Tue, 1 Dec 2020 18:36:29 +0100 Subject: [PATCH 10/40] added java doc --- .../dhp/actionmanager/bipfinder/BipDeserialize.java | 5 +++++ .../eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java | 8 ++++++-- .../dhp/actionmanager/bipfinder/CollectAndSave.java | 8 ++++---- .../dhp/actionmanager/bipfinder/PreparedResult.java | 3 +++ .../eu/dnetlib/dhp/actionmanager/bipfinder/Score.java | 3 +++ .../bipfinder/SparkAtomicActionScoreJob.java | 7 +++---- 6 files changed, 24 insertions(+), 10 deletions(-) diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java index 2ec3679ce..d5b2ced7c 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java @@ -6,6 +6,11 @@ import java.util.ArrayList; import java.util.HashMap; import java.util.List; +/** + * Class that maps the model of the bipFinder! input data. + * Only needed for deserialization purposes + */ + public class BipDeserialize extends HashMap> implements Serializable { public BipDeserialize() { diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java index 3aa2488cd..da9a4bd0c 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java @@ -4,9 +4,13 @@ package eu.dnetlib.dhp.actionmanager.bipfinder; import java.io.Serializable; import java.util.List; +/** + * Rewriting of the bipFinder input data by extracting the identifier of the result (doi) + */ + public class BipScore implements Serializable { - private String id; - private List scoreList; + private String id; //doi + private List scoreList; //unit as given in the inputfile public String getId() { return id; diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/CollectAndSave.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/CollectAndSave.java index 7164fc5ed..0bebe2fb0 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/CollectAndSave.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/CollectAndSave.java @@ -10,11 +10,7 @@ import org.apache.commons.io.IOUtils; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapred.SequenceFileOutputFormat; import org.apache.spark.SparkConf; -import org.apache.spark.api.java.JavaPairRDD; import org.apache.spark.api.java.JavaSparkContext; -import org.apache.spark.api.java.function.MapFunction; -import org.apache.spark.sql.Dataset; -import org.apache.spark.sql.Encoders; import org.apache.spark.sql.SparkSession; import org.slf4j.Logger; import org.slf4j.LoggerFactory; @@ -25,6 +21,10 @@ import eu.dnetlib.dhp.application.ArgumentApplicationParser; import eu.dnetlib.dhp.common.HdfsSupport; import eu.dnetlib.dhp.schema.oaf.Result; +/** + * Just collects all the atomic actions produced for the different results and saves them in + * outputpath for the ActionSet + */ public class CollectAndSave implements Serializable { private static final Logger log = LoggerFactory.getLogger(CollectAndSave.class); diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java index 3e55ec6bc..493e94417 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java @@ -3,6 +3,9 @@ package eu.dnetlib.dhp.actionmanager.bipfinder; import java.io.Serializable; +/** + * Subset of the information of the generic results that are needed to create the atomic action + */ public class PreparedResult implements Serializable { private String id; // openaire id private String value; // doi diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java index 17423fe96..7cc21b44d 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java @@ -4,6 +4,9 @@ package eu.dnetlib.dhp.actionmanager.bipfinder; import java.io.Serializable; import java.util.List; +/** + * represents the score in the input file + */ public class Score implements Serializable { private String id; diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java index ddf1b3049..23764f38e 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java @@ -8,20 +8,16 @@ import java.util.List; import java.util.Optional; import java.util.stream.Collectors; -import eu.dnetlib.dhp.schema.common.ModelSupport; import org.apache.commons.io.IOUtils; -import org.apache.hadoop.hdfs.qjournal.protocol.QJournalProtocolProtos; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapred.SequenceFileOutputFormat; import org.apache.spark.SparkConf; import org.apache.spark.api.java.JavaRDD; import org.apache.spark.api.java.JavaSparkContext; -import org.apache.spark.api.java.function.FlatMapFunction; import org.apache.spark.api.java.function.MapFunction; import org.apache.spark.api.java.function.MapGroupsFunction; import org.apache.spark.sql.Dataset; import org.apache.spark.sql.Encoders; -import org.apache.spark.sql.Row; import org.apache.spark.sql.SparkSession; import org.slf4j.Logger; import org.slf4j.LoggerFactory; @@ -35,6 +31,9 @@ import eu.dnetlib.dhp.schema.oaf.*; import eu.dnetlib.dhp.schema.oaf.KeyValue; import scala.Tuple2; +/** + * created the Atomic Action for each tipe of results + */ public class SparkAtomicActionScoreJob implements Serializable { private static String DOI = "doi"; From 991e675dc6b04b834bd62642a9eebf77bb106b35 Mon Sep 17 00:00:00 2001 From: "michele.artini" Date: Mon, 14 Dec 2020 15:41:25 +0100 Subject: [PATCH 11/40] validation in claim rels --- .../raw/MigrateDbEntitiesApplication.java | 58 +++++++++++-------- .../dnetlib/dhp/oa/graph/sql/queryClaims.sql | 2 +- 2 files changed, 36 insertions(+), 24 deletions(-) diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/MigrateDbEntitiesApplication.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/MigrateDbEntitiesApplication.java index b6210013c..3adbd244c 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/MigrateDbEntitiesApplication.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/MigrateDbEntitiesApplication.java @@ -23,7 +23,15 @@ import static eu.dnetlib.dhp.schema.common.ModelConstants.RESULT_PROJECT; import static eu.dnetlib.dhp.schema.common.ModelConstants.RESULT_RESULT; import static eu.dnetlib.dhp.schema.common.ModelConstants.SOFTWARE_DEFAULT_RESULTTYPE; import static eu.dnetlib.dhp.schema.common.ModelConstants.USER_CLAIM; -import static eu.dnetlib.dhp.schema.oaf.OafMapperUtils.*; +import static eu.dnetlib.dhp.schema.oaf.OafMapperUtils.asString; +import static eu.dnetlib.dhp.schema.oaf.OafMapperUtils.createOpenaireId; +import static eu.dnetlib.dhp.schema.oaf.OafMapperUtils.dataInfo; +import static eu.dnetlib.dhp.schema.oaf.OafMapperUtils.field; +import static eu.dnetlib.dhp.schema.oaf.OafMapperUtils.journal; +import static eu.dnetlib.dhp.schema.oaf.OafMapperUtils.listFields; +import static eu.dnetlib.dhp.schema.oaf.OafMapperUtils.listKeyValues; +import static eu.dnetlib.dhp.schema.oaf.OafMapperUtils.qualifier; +import static eu.dnetlib.dhp.schema.oaf.OafMapperUtils.structuredProperty; import java.io.Closeable; import java.io.IOException; @@ -462,44 +470,48 @@ public class MigrateDbEntitiesApplication extends AbstractMigrationApplication i return Arrays.asList(r); } else { + final String validationDate = rs.getString("curation_date"); + final String sourceId = createOpenaireId(rs.getString(SOURCE_TYPE), rs.getString("source_id"), false); final String targetId = createOpenaireId(rs.getString(TARGET_TYPE), rs.getString("target_id"), false); final Relation r1 = new Relation(); final Relation r2 = new Relation(); - if (rs.getString(SOURCE_TYPE).equals("project")) { - r1.setCollectedfrom(collectedFrom); - r1.setRelType(RESULT_PROJECT); - r1.setSubRelType(OUTCOME); - r1.setRelClass(PRODUCES); - - r2.setCollectedfrom(collectedFrom); - r2.setRelType(RESULT_PROJECT); - r2.setSubRelType(OUTCOME); - r2.setRelClass(IS_PRODUCED_BY); - } else { - r1.setCollectedfrom(collectedFrom); - r1.setRelType(RESULT_RESULT); - r1.setSubRelType(RELATIONSHIP); - r1.setRelClass(IS_RELATED_TO); - - r2.setCollectedfrom(collectedFrom); - r2.setRelType(RESULT_RESULT); - r2.setSubRelType(RELATIONSHIP); - r2.setRelClass(IS_RELATED_TO); - } - + r1.setValidated(true); + r1.setValidationDate(validationDate); + r1.setCollectedfrom(collectedFrom); r1.setSource(sourceId); r1.setTarget(targetId); r1.setDataInfo(info); r1.setLastupdatetimestamp(lastUpdateTimestamp); + r2.setValidationDate(validationDate); + r2.setValidated(true); + r2.setCollectedfrom(collectedFrom); r2.setSource(targetId); r2.setTarget(sourceId); r2.setDataInfo(info); r2.setLastupdatetimestamp(lastUpdateTimestamp); + if (rs.getString(SOURCE_TYPE).equals("project")) { + r1.setRelType(RESULT_PROJECT); + r1.setSubRelType(OUTCOME); + r1.setRelClass(PRODUCES); + + r2.setRelType(RESULT_PROJECT); + r2.setSubRelType(OUTCOME); + r2.setRelClass(IS_PRODUCED_BY); + } else { + r1.setRelType(RESULT_RESULT); + r1.setSubRelType(RELATIONSHIP); + r1.setRelClass(IS_RELATED_TO); + + r2.setRelType(RESULT_RESULT); + r2.setSubRelType(RELATIONSHIP); + r2.setRelClass(IS_RELATED_TO); + } + return Arrays.asList(r1, r2); } diff --git a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/sql/queryClaims.sql b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/sql/queryClaims.sql index 0390c11aa..f912d3ce9 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/sql/queryClaims.sql +++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/sql/queryClaims.sql @@ -1 +1 @@ -SELECT source_type, source_id, target_type, target_id, semantics FROM claim WHERE approved=TRUE; \ No newline at end of file +SELECT source_type, source_id, target_type, target_id, semantics, curation_date::text FROM claim WHERE approved=TRUE; \ No newline at end of file From 1f6c8a9e83be2dfcc0942e423e03c712dcda308b Mon Sep 17 00:00:00 2001 From: Sandro La Bruzzo Date: Tue, 15 Dec 2020 11:47:15 +0100 Subject: [PATCH 12/40] added orcid_pending type to records coming from Crossref --- .../main/java/eu/dnetlib/doiboost/DoiBoostMappingUtil.scala | 3 ++- .../main/java/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala | 2 +- 2 files changed, 3 insertions(+), 2 deletions(-) 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 9c9221b27..8d906fa15 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 @@ -35,7 +35,8 @@ object DoiBoostMappingUtil { //STATIC STRING val MAG = "microsoft" val MAG_NAME = "Microsoft Academic Graph" - val ORCID = "ORCID" + val ORCID = "orcid" + val ORCID_PENDING = "orcid_pending" val CROSSREF = "Crossref" val UNPAYWALL = "UnpayWall" val GRID_AC = "grid.ac" diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala index 5ba01357e..d1ceb9a07 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala +++ b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala @@ -200,7 +200,7 @@ case object Crossref2Oaf { a.setSurname(family) a.setFullname(s"$given $family") if (StringUtils.isNotBlank(orcid)) - a.setPid(List(createSP(orcid, ORCID, PID_TYPES, generateDataInfo())).asJava) + a.setPid(List(createSP(orcid, ORCID_PENDING, PID_TYPES, generateDataInfo())).asJava) a } From 4766495f5bf76d49b31d664519fe51706a0ecb4a Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Thu, 17 Dec 2020 09:15:50 +0100 Subject: [PATCH 13/40] [orcid_to_result_from_semrel_propagation] fixed typo in SQL --- .../PrepareResultOrcidAssociationStep1.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/orcidtoresultfromsemrel/PrepareResultOrcidAssociationStep1.java b/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/orcidtoresultfromsemrel/PrepareResultOrcidAssociationStep1.java index dd8342980..b3ef3a112 100644 --- a/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/orcidtoresultfromsemrel/PrepareResultOrcidAssociationStep1.java +++ b/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/orcidtoresultfromsemrel/PrepareResultOrcidAssociationStep1.java @@ -104,7 +104,7 @@ public class PrepareResultOrcidAssociationStep1 { + " LATERAL VIEW EXPLODE (author) a AS MyT " + " LATERAL VIEW EXPLODE (MyT.pid) p AS MyP " + " WHERE lower(MyP.qualifier.classid) = '" + ModelConstants.ORCID + "' or " - + " lower(MyP.qalifier.classid) = '" + ModelConstants.ORCID_PENDING + "') tmp " + + " lower(MyP.qualifier.classid) = '" + ModelConstants.ORCID_PENDING + "') tmp " + " GROUP BY id) r_t " + " JOIN (" + " SELECT source, target " From f9a8fd8bbd13e18926e3c0ffda88c160c5aa6587 Mon Sep 17 00:00:00 2001 From: Alessia Bardi Date: Thu, 17 Dec 2020 11:59:45 +0100 Subject: [PATCH 14/40] updated test record for textgrid --- .../eu/dnetlib/dhp/oa/graph/raw/textgrid.xml | 58 ++++++++++--------- 1 file changed, 30 insertions(+), 28 deletions(-) diff --git a/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/textgrid.xml b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/textgrid.xml index eddbc1ec4..7ad7c4d6b 100644 --- a/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/textgrid.xml +++ b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/textgrid.xml @@ -6,29 +6,29 @@ xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dri="http://www.driver-repository.eu/namespace/dri" xmlns:prov="http://www.openarchives.org/OAI/2.0/provenance" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> - r3f52792889d::000051aa1f61d77d2c0b340091f8024e - textgrid:q9cv.0 - 2020-11-17T09:34:11.128+01:00 + r3f52792889d::00002412cb25f2f3047712d00ab2c8eb + hdl:11858/00-1734-0000-0003-EE73-2 + 2020-12-16T10:04:03.148Z r3f52792889d - textgrid:q9cv.0 - 2012-01-21T13:35:20Z - 2020-11-17T19:08:56.703+01:00 + textgrid:rn8z.0 + 2012-01-29T20:54:12Z + 2020-12-16T16:02:37.562Z - hdl:11858/00-1734-0000-0003-7664-F + hdl:11858/00-1734-0000-0003-EE73-2 - Hoffmann von Fallersleben, August Heinrich - 118552589 + Liliencron, Detlev von + 118572954 - Mailied - August Heinrich Hoffmann von Fallersleben: Unpolitische Lieder von Hoffmann von Fallersleben, 1. + 2. Theil, 1. Theil, Hamburg: Hoffmann und Campe, 1841. + Auf dem Trocknen + Detlev von Liliencron: Gute Nacht. Hinterlassene Gedichte, Berlin: Schuster & Loeffler, 1909. TextGrid 2012 @@ -38,21 +38,21 @@ Digitale Bibliothek - TGPR-372fe6dc-57f2-6cd4-01b5-2c4bbefcfd3c + TGPR-372fe6dc-57f2-6cd4-01b5-2c4bbefcfd3c - 2012-01-21T13:35:20Z - 2012-01-21T13:35:20Z - 2012-01-21T13:35:20Z + 2012-01-29T20:54:12Z + 2012-01-29T20:54:12Z + 2012-01-29T20:54:12Z - textgrid:q9cv.0 - http://hdl.handle.net/hdl:11858/00-1734-0000-0003-7664-F + textgrid:rn8z.0 + http://hdl.handle.net/hdl:11858/00-1734-0000-0003-EE73-2 - hdl:11858/00-1734-0000-0003-7666-B + hdl:11858/00-1734-0000-0003-EE72-4 527 Bytes @@ -77,17 +77,18 @@ Hamburg + xmlns:xs="http://www.w3.org/2001/XMLSchema" xsi:type="xs:string">Berlin - hdl:11858/00-1734-0000-0003-7664-F + hdl:11858/00-1734-0000-0003-EE73-2 0021 0002 - 2012-01-21 + 2012-01-29 OPEN http://creativecommons.org/licenses/by/3.0/de/legalcode und + DE @@ -95,11 +96,11 @@ xmlns:dri="http://www.driver-repository.eu/namespace/dri" xmlns:prov="http://www.openarchives.org/OAI/2.0/provenance" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> - + https%3A%2F%2Fdev.textgridlab.org%2F1.0%2Ftgoaipmh%2Foai - textgrid:q9cv.0 - 2012-01-21T13:35:20Z - http://schema.datacite.org/oai/oai-1.0/ + textgrid:rn8z.0 + 2012-01-29T20:54:12Z + @@ -107,9 +108,10 @@ false 0.9 - - \ No newline at end of file + + From 03319d3bd95912d83068c9a120bc4614de52b51d Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Thu, 17 Dec 2020 12:23:58 +0100 Subject: [PATCH 15/40] Revert "Merge pull request 'Creation of the action set to include the bipFinder! score' (#62) from miriam.baglioni/dnet-hadoop:bipFinder into master" This reverts commit add7e1693b3d103ee5101aee4454d022264b06b6, reversing changes made to f9a8fd8bbd13e18926e3c0ffda88c160c5aa6587. --- .../eu/dnetlib/dhp/schema/oaf/Measure.java | 5 +- .../bipfinder/BipDeserialize.java | 28 - .../dhp/actionmanager/bipfinder/BipScore.java | 30 - .../bipfinder/CollectAndSave.java | 85 -- .../dhp/actionmanager/bipfinder/KeyValue.java | 26 - .../bipfinder/PreparedResult.java | 28 - .../dhp/actionmanager/bipfinder/Score.java | 30 - .../bipfinder/SparkAtomicActionScoreJob.java | 200 --- .../bipfinder/input_actionset_parameter.json | 20 - .../bipfinder/input_parameters.json | 32 - .../bipfinder/oozie_app/config-default.xml | 58 - .../bipfinder/oozie_app/workflow.xml | 171 --- .../SparkAtomicActionScoreJobTest.java | 331 ----- .../actionmanager/bipfinder/bip_scores.json | 1101 ----------------- .../actionmanager/bipfinder/publication.json | 18 - .../bipfinder/publication_2.json | 18 - .../bipfinder/publication_3.json | 18 - 17 files changed, 2 insertions(+), 2197 deletions(-) delete mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java delete mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java delete mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/CollectAndSave.java delete mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/KeyValue.java delete mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java delete mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java delete mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java delete mode 100644 dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json delete mode 100644 dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json delete mode 100644 dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/config-default.xml delete mode 100644 dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml delete mode 100644 dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java delete mode 100644 dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json delete mode 100644 dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/publication.json delete mode 100644 dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/publication_2.json delete mode 100644 dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/publication_3.json diff --git a/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Measure.java b/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Measure.java index 78a4c6801..c0c14d10d 100644 --- a/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Measure.java +++ b/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Measure.java @@ -1,7 +1,6 @@ package eu.dnetlib.dhp.schema.oaf; -import java.io.Serializable; import java.util.List; import com.google.common.base.Objects; @@ -9,7 +8,7 @@ import com.google.common.base.Objects; /** * Represent a measure, must be further described by a system available resource providing name and descriptions. */ -public class Measure implements Serializable { +public class Measure { /** * Unique measure identifier. @@ -17,7 +16,7 @@ public class Measure implements Serializable { private String id; /** - * List of units associated with this measure. KeyValue provides a pair to store the label (key) and the value, plus + * List of units associated with this measure. KeyValue provides a pair to store the laber (key) and the value, plus * common provenance information. */ private List unit; diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java deleted file mode 100644 index d5b2ced7c..000000000 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java +++ /dev/null @@ -1,28 +0,0 @@ - -package eu.dnetlib.dhp.actionmanager.bipfinder; - -import java.io.Serializable; -import java.util.ArrayList; -import java.util.HashMap; -import java.util.List; - -/** - * Class that maps the model of the bipFinder! input data. - * Only needed for deserialization purposes - */ - -public class BipDeserialize extends HashMap> implements Serializable { - - public BipDeserialize() { - super(); - } - - public List get(String key) { - - if (super.get(key) == null) { - return new ArrayList<>(); - } - return super.get(key); - } - -} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java deleted file mode 100644 index da9a4bd0c..000000000 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java +++ /dev/null @@ -1,30 +0,0 @@ - -package eu.dnetlib.dhp.actionmanager.bipfinder; - -import java.io.Serializable; -import java.util.List; - -/** - * Rewriting of the bipFinder input data by extracting the identifier of the result (doi) - */ - -public class BipScore implements Serializable { - private String id; //doi - private List scoreList; //unit as given in the inputfile - - public String getId() { - return id; - } - - public void setId(String id) { - this.id = id; - } - - public List getScoreList() { - return scoreList; - } - - public void setScoreList(List scoreList) { - this.scoreList = scoreList; - } -} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/CollectAndSave.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/CollectAndSave.java deleted file mode 100644 index 0bebe2fb0..000000000 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/CollectAndSave.java +++ /dev/null @@ -1,85 +0,0 @@ - -package eu.dnetlib.dhp.actionmanager.bipfinder; - -import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession; - -import java.io.Serializable; -import java.util.Optional; - -import org.apache.commons.io.IOUtils; -import org.apache.hadoop.io.Text; -import org.apache.hadoop.mapred.SequenceFileOutputFormat; -import org.apache.spark.SparkConf; -import org.apache.spark.api.java.JavaSparkContext; -import org.apache.spark.sql.SparkSession; -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; - -import com.fasterxml.jackson.databind.ObjectMapper; - -import eu.dnetlib.dhp.application.ArgumentApplicationParser; -import eu.dnetlib.dhp.common.HdfsSupport; -import eu.dnetlib.dhp.schema.oaf.Result; - -/** - * Just collects all the atomic actions produced for the different results and saves them in - * outputpath for the ActionSet - */ -public class CollectAndSave implements Serializable { - - private static final Logger log = LoggerFactory.getLogger(CollectAndSave.class); - private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); - - public static void main(String[] args) throws Exception { - - String jsonConfiguration = IOUtils - .toString( - CollectAndSave.class - .getResourceAsStream( - "/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json")); - - final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration); - - parser.parseArgument(args); - - Boolean isSparkSessionManaged = Optional - .ofNullable(parser.get("isSparkSessionManaged")) - .map(Boolean::valueOf) - .orElse(Boolean.TRUE); - - log.info("isSparkSessionManaged: {}", isSparkSessionManaged); - - final String inputPath = parser.get("inputPath"); - log.info("inputPath {}: ", inputPath); - - final String outputPath = parser.get("outputPath"); - log.info("outputPath {}: ", outputPath); - - SparkConf conf = new SparkConf(); - - runWithSparkSession( - conf, - isSparkSessionManaged, - spark -> { - removeOutputDir(spark, outputPath); - collectAndSave(spark, inputPath, outputPath); - }); - } - - private static void collectAndSave(SparkSession spark, String inputPath, String outputPath) { - JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext()); - - sc - .sequenceFile(inputPath + "/publication", Text.class, Text.class) - .union(sc.sequenceFile(inputPath + "/dataset", Text.class, Text.class)) - .union(sc.sequenceFile(inputPath + "/otherresearchproduct", Text.class, Text.class)) - .union(sc.sequenceFile(inputPath + "/software", Text.class, Text.class)) - .saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class); - ; - } - - private static void removeOutputDir(SparkSession spark, String path) { - HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration()); - } - -} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/KeyValue.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/KeyValue.java deleted file mode 100644 index 6909a9634..000000000 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/KeyValue.java +++ /dev/null @@ -1,26 +0,0 @@ - -package eu.dnetlib.dhp.actionmanager.bipfinder; - -import java.io.Serializable; - -public class KeyValue implements Serializable { - - private String key; - private String value; - - public String getKey() { - return key; - } - - public void setKey(String key) { - this.key = key; - } - - public String getValue() { - return value; - } - - public void setValue(String value) { - this.value = value; - } -} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java deleted file mode 100644 index 493e94417..000000000 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java +++ /dev/null @@ -1,28 +0,0 @@ - -package eu.dnetlib.dhp.actionmanager.bipfinder; - -import java.io.Serializable; - -/** - * Subset of the information of the generic results that are needed to create the atomic action - */ -public class PreparedResult implements Serializable { - private String id; // openaire id - private String value; // doi - - public String getId() { - return id; - } - - public void setId(String id) { - this.id = id; - } - - public String getValue() { - return value; - } - - public void setValue(String value) { - this.value = value; - } -} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java deleted file mode 100644 index 7cc21b44d..000000000 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java +++ /dev/null @@ -1,30 +0,0 @@ - -package eu.dnetlib.dhp.actionmanager.bipfinder; - -import java.io.Serializable; -import java.util.List; - -/** - * represents the score in the input file - */ -public class Score implements Serializable { - - private String id; - private List unit; - - public String getId() { - return id; - } - - public void setId(String id) { - this.id = id; - } - - public List getUnit() { - return unit; - } - - public void setUnit(List unit) { - this.unit = unit; - } -} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java deleted file mode 100644 index 23764f38e..000000000 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java +++ /dev/null @@ -1,200 +0,0 @@ - -package eu.dnetlib.dhp.actionmanager.bipfinder; - -import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession; - -import java.io.Serializable; -import java.util.List; -import java.util.Optional; -import java.util.stream.Collectors; - -import org.apache.commons.io.IOUtils; -import org.apache.hadoop.io.Text; -import org.apache.hadoop.mapred.SequenceFileOutputFormat; -import org.apache.spark.SparkConf; -import org.apache.spark.api.java.JavaRDD; -import org.apache.spark.api.java.JavaSparkContext; -import org.apache.spark.api.java.function.MapFunction; -import org.apache.spark.api.java.function.MapGroupsFunction; -import org.apache.spark.sql.Dataset; -import org.apache.spark.sql.Encoders; -import org.apache.spark.sql.SparkSession; -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; - -import com.fasterxml.jackson.databind.ObjectMapper; - -import eu.dnetlib.dhp.application.ArgumentApplicationParser; -import eu.dnetlib.dhp.common.HdfsSupport; -import eu.dnetlib.dhp.schema.action.AtomicAction; -import eu.dnetlib.dhp.schema.oaf.*; -import eu.dnetlib.dhp.schema.oaf.KeyValue; -import scala.Tuple2; - -/** - * created the Atomic Action for each tipe of results - */ -public class SparkAtomicActionScoreJob implements Serializable { - - private static String DOI = "doi"; - private static final Logger log = LoggerFactory.getLogger(SparkAtomicActionScoreJob.class); - private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); - - public static void main(String[] args) throws Exception { - - String jsonConfiguration = IOUtils - .toString( - SparkAtomicActionScoreJob.class - .getResourceAsStream( - "/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json")); - - final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration); - - parser.parseArgument(args); - - Boolean isSparkSessionManaged = Optional - .ofNullable(parser.get("isSparkSessionManaged")) - .map(Boolean::valueOf) - .orElse(Boolean.TRUE); - - log.info("isSparkSessionManaged: {}", isSparkSessionManaged); - - final String inputPath = parser.get("inputPath"); - log.info("inputPath {}: ", inputPath); - - final String outputPath = parser.get("outputPath"); - log.info("outputPath {}: ", outputPath); - - final String bipScorePath = parser.get("bipScorePath"); - log.info("bipScorePath: {}", bipScorePath); - - final String resultClassName = parser.get("resultTableName"); - log.info("resultTableName: {}", resultClassName); - - Class inputClazz = (Class) Class.forName(resultClassName); - - SparkConf conf = new SparkConf(); - - runWithSparkSession( - conf, - isSparkSessionManaged, - spark -> { - removeOutputDir(spark, outputPath); - prepareResults(spark, inputPath, outputPath, bipScorePath, inputClazz); - }); - } - - private static void prepareResults(SparkSession spark, String inputPath, String outputPath, - String bipScorePath, Class inputClazz) { - - final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); - - JavaRDD bipDeserializeJavaRDD = sc - .textFile(bipScorePath) - .map(item -> OBJECT_MAPPER.readValue(item, BipDeserialize.class)); - - Dataset bipScores = spark - .createDataset(bipDeserializeJavaRDD.flatMap(entry -> entry.keySet().stream().map(key -> { - BipScore bs = new BipScore(); - bs.setId(key); - bs.setScoreList(entry.get(key)); - return bs; - }).collect(Collectors.toList()).iterator()).rdd(), Encoders.bean(BipScore.class)); - - System.out.println(bipScores.count()); - - Dataset results = readPath(spark, inputPath, inputClazz); - - results.createOrReplaceTempView("result"); - - Dataset preparedResult = spark - .sql( - "select pIde.value value, id " + - "from result " + - "lateral view explode (pid) p as pIde " + - "where dataInfo.deletedbyinference = false and pIde.qualifier.classid = '" + DOI + "'") - .as(Encoders.bean(PreparedResult.class)); - - bipScores - .joinWith( - preparedResult, bipScores.col("id").equalTo(preparedResult.col("value")), - "inner") - .map((MapFunction, BipScore>) value -> { - BipScore ret = value._1(); - ret.setId(value._2().getId()); - return ret; - }, Encoders.bean(BipScore.class)) - .groupByKey((MapFunction) value -> value.getId(), Encoders.STRING()) - .mapGroups((MapGroupsFunction) (k, it) -> { - Result ret = inputClazz.newInstance(); - BipScore first = it.next(); - ret.setId(first.getId()); - - ret.setMeasures(getMeasure(first)); - it.forEachRemaining(value -> ret.getMeasures().addAll(getMeasure(value))); - - return (I) ret; - }, Encoders.bean(inputClazz)) - .toJavaRDD() - .map(p -> new AtomicAction(inputClazz, p)) - .mapToPair( - aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()), - new Text(OBJECT_MAPPER.writeValueAsString(aa)))) - .saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class); - - } - - - private static List getMeasure(BipScore value) { - return value - .getScoreList() - .stream() - .map(score -> { - Measure m = new Measure(); - m.setId(score.getId()); - m - .setUnit( - score - .getUnit() - .stream() - .map(unit -> { - KeyValue kv = new KeyValue(); - kv.setValue(unit.getValue()); - kv.setKey(unit.getKey()); - kv.setDataInfo(getDataInfo()); - return kv; - }) - .collect(Collectors.toList())); - return m; - }) - .collect(Collectors.toList()); - } - - private static DataInfo getDataInfo() { - DataInfo di = new DataInfo(); - di.setInferred(false); - di.setInvisible(false); - di.setDeletedbyinference(false); - di.setTrust(""); - Qualifier qualifier = new Qualifier(); - qualifier.setClassid("sysimport:actionset"); - qualifier.setClassname("Harvested"); - qualifier.setSchemename("dnet:provenanceActions"); - qualifier.setSchemeid("dnet:provenanceActions"); - di.setProvenanceaction(qualifier); - return di; - } - - private static void removeOutputDir(SparkSession spark, String path) { - HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration()); - } - - public static Dataset readPath( - SparkSession spark, String inputPath, Class clazz) { - return spark - .read() - .textFile(inputPath) - .map((MapFunction) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz)); - } - -} diff --git a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json deleted file mode 100644 index 67911eef1..000000000 --- a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json +++ /dev/null @@ -1,20 +0,0 @@ -[ - { - "paramName": "issm", - "paramLongName": "isSparkSessionManaged", - "paramDescription": "when true will stop SparkSession after job execution", - "paramRequired": false -}, -{ -"paramName": "ip", -"paramLongName": "inputPath", -"paramDescription": "the URL from where to get the programme file", -"paramRequired": true -}, -{ -"paramName": "o", -"paramLongName": "outputPath", -"paramDescription": "the path of the new ActionSet", -"paramRequired": true -} -] \ No newline at end of file diff --git a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json deleted file mode 100644 index ae844a0c9..000000000 --- a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json +++ /dev/null @@ -1,32 +0,0 @@ -[ - { - "paramName": "issm", - "paramLongName": "isSparkSessionManaged", - "paramDescription": "when true will stop SparkSession after job execution", - "paramRequired": false -}, -{ -"paramName": "ip", -"paramLongName": "inputPath", -"paramDescription": "the URL from where to get the programme file", -"paramRequired": true -}, -{ -"paramName": "o", -"paramLongName": "outputPath", -"paramDescription": "the path of the new ActionSet", -"paramRequired": true -}, - { - "paramName": "rtn", - "paramLongName": "resultTableName", - "paramDescription": "the path of the new ActionSet", - "paramRequired": true - }, - { - "paramName": "bsp", - "paramLongName": "bipScorePath", - "paramDescription": "the path of the new ActionSet", - "paramRequired": true - } -] \ No newline at end of file diff --git a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/config-default.xml b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/config-default.xml deleted file mode 100644 index a1755f329..000000000 --- a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/config-default.xml +++ /dev/null @@ -1,58 +0,0 @@ - - - jobTracker - yarnRM - - - nameNode - hdfs://nameservice1 - - - oozie.use.system.libpath - true - - - oozie.action.sharelib.for.spark - spark2 - - - hive_metastore_uris - thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083 - - - spark2YarnHistoryServerAddress - http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089 - - - spark2ExtraListeners - com.cloudera.spark.lineage.NavigatorAppListener - - - spark2SqlQueryExecutionListeners - com.cloudera.spark.lineage.NavigatorQueryListener - - - oozie.launcher.mapreduce.user.classpath.first - true - - - sparkExecutorNumber - 4 - - - spark2EventLogDir - /user/spark/spark2ApplicationHistory - - - sparkDriverMemory - 15G - - - sparkExecutorMemory - 6G - - - sparkExecutorCores - 1 - - \ No newline at end of file diff --git a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml deleted file mode 100644 index ea2e9f58a..000000000 --- a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml +++ /dev/null @@ -1,171 +0,0 @@ - - - - inputPath - the input path of the resources to be extended - - - - bipScorePath - the path where to find the bipFinder scores - - - outputPath - the path where to store the actionset - - - - - - Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}] - - - - - - - - - - - - - - - - - - - - - - yarn - cluster - Produces the atomic action with the bip finder scores for publications - eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob - dhp-aggregation-${projectVersion}.jar - - --executor-memory=${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} - - --inputPath${inputPath}/publication - --resultTableNameeu.dnetlib.dhp.schema.oaf.Publication - --outputPath${workingDir}/publication - --bipScorePath${bipScorePath} - - - - - - - - yarn - cluster - Produces the atomic action with the bip finder scores for datasets - eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob - dhp-aggregation-${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=${sparkSqlWarehouseDir} - - --inputPath${inputPath}/dataset - --resultTableNameeu.dnetlib.dhp.schema.oaf.Dataset - --outputPath${workingDir}/dataset - --bipScorePath${bipScorePath} - - - - - - - - yarn - cluster - Produces the atomic action with the bip finder scores for orp - eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob - dhp-aggregation-${projectVersion}.jar - - --executor-memory=${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} - - --inputPath${inputPath}/otherresearchproduct - --resultTableNameeu.dnetlib.dhp.schema.oaf.OtherResearchProduct - --outputPath${workingDir}/otherresearchproduct - --bipScorePath${bipScorePath} - - - - - - - - yarn - cluster - Produces the atomic action with the bip finder scores for software - eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob - dhp-aggregation-${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=${sparkSqlWarehouseDir} - - --inputPath${inputPath}/software - --resultTableNameeu.dnetlib.dhp.schema.oaf.Software - --outputPath${workingDir}/software - --bipScorePath${bipScorePath} - - - - - - - - - - yarn - cluster - saves all the aa produced for the several types of results in the as output path - eu.dnetlib.dhp.actionmanager.bipfinder.CollectAndSave - dhp-aggregation-${projectVersion}.jar - - --executor-memory=${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} - - --inputPath${workingDir} - --outputPath${outputPath} - - - - - - - \ No newline at end of file diff --git a/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java b/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java deleted file mode 100644 index 4b02e7485..000000000 --- a/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java +++ /dev/null @@ -1,331 +0,0 @@ - -package eu.dnetlib.dhp.actionmanager.bipfinder; - -import java.io.IOException; -import java.nio.file.Files; -import java.nio.file.Path; -import java.util.List; -import java.util.stream.Collectors; - -import org.apache.commons.io.FileUtils; -import org.apache.hadoop.io.Text; -import org.apache.hadoop.mapred.SequenceFileOutputFormat; -import org.apache.spark.SparkConf; -import org.apache.spark.api.java.JavaRDD; -import org.apache.spark.api.java.JavaSparkContext; -import org.apache.spark.api.java.function.FilterFunction; -import org.apache.spark.api.java.function.ForeachFunction; -import org.apache.spark.api.java.function.MapFunction; -import org.apache.spark.api.java.function.MapGroupsFunction; -import org.apache.spark.sql.Dataset; -import org.apache.spark.sql.Encoders; -import org.apache.spark.sql.Row; -import org.apache.spark.sql.SparkSession; -import org.junit.jupiter.api.AfterAll; -import org.junit.jupiter.api.Assertions; -import org.junit.jupiter.api.BeforeAll; -import org.junit.jupiter.api.Test; -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; - -import com.fasterxml.jackson.databind.ObjectMapper; - -import eu.dnetlib.dhp.schema.action.AtomicAction; -import eu.dnetlib.dhp.schema.oaf.*; -import eu.dnetlib.dhp.schema.oaf.KeyValue; -import scala.Tuple2; - -public class SparkAtomicActionScoreJobTest { - - private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); - - private static SparkSession spark; - - private static Path workingDir; - private static final Logger log = LoggerFactory - .getLogger(SparkAtomicActionScoreJobTest.class); - - @BeforeAll - public static void beforeAll() throws IOException { - workingDir = Files - .createTempDirectory(SparkAtomicActionScoreJobTest.class.getSimpleName()); - log.info("using work dir {}", workingDir); - - SparkConf conf = new SparkConf(); - conf.setAppName(SparkAtomicActionScoreJobTest.class.getSimpleName()); - - conf.setMaster("local[*]"); - conf.set("spark.driver.host", "localhost"); - conf.set("hive.metastore.local", "true"); - conf.set("spark.ui.enabled", "false"); - conf.set("spark.sql.warehouse.dir", workingDir.toString()); - conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString()); - - spark = SparkSession - .builder() - .appName(SparkAtomicActionScoreJobTest.class.getSimpleName()) - .config(conf) - .getOrCreate(); - } - - @AfterAll - public static void afterAll() throws IOException { - FileUtils.deleteDirectory(workingDir.toFile()); - spark.stop(); - } - - @Test - public void matchOne() throws Exception { - String bipScoresPath = getClass() - .getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json") - .getPath(); - String inputPath = getClass() - .getResource( - "/eu/dnetlib/dhp/actionmanager/bipfinder/publication.json") - .getPath(); - - SparkAtomicActionScoreJob - .main( - new String[] { - "-isSparkSessionManaged", - Boolean.FALSE.toString(), - "-inputPath", - inputPath, - "-bipScorePath", - bipScoresPath, - "-resultTableName", - "eu.dnetlib.dhp.schema.oaf.Publication", - "-outputPath", - workingDir.toString() + "/actionSet" - }); - - final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); - - JavaRDD tmp = sc - .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) - .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) - .map(aa -> ((Publication) aa.getPayload())); - - Assertions.assertTrue(tmp.count() == 1); - - Dataset verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class)); - verificationDataset.createOrReplaceTempView("publication"); - - Dataset execVerification = spark - .sql( - "Select p.id oaid, mes.id, mUnit.value from publication p " + - "lateral view explode(measures) m as mes " + - "lateral view explode(mes.unit) u as mUnit "); - - Assertions.assertEquals(2, execVerification.count()); - - Assertions - .assertEquals( - "50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb", - execVerification.select("oaid").collectAsList().get(0).getString(0)); - - Assertions - .assertEquals( - "1.47565045883e-08", - execVerification.filter("id = 'influence'").select("value").collectAsList().get(0).getString(0)); - - Assertions - .assertEquals( - "0.227515392", - execVerification.filter("id = 'popularity'").select("value").collectAsList().get(0).getString(0)); - - } - - @Test - public void matchOneWithTwo() throws Exception { - String bipScoresPath = getClass() - .getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json") - .getPath(); - String inputPath = getClass() - .getResource( - "/eu/dnetlib/dhp/actionmanager/bipfinder/publication_2.json") - .getPath(); - - SparkAtomicActionScoreJob - .main( - new String[] { - "-isSparkSessionManaged", - Boolean.FALSE.toString(), - "-inputPath", - inputPath, - "-bipScorePath", - bipScoresPath, - "-resultTableName", - "eu.dnetlib.dhp.schema.oaf.Publication", - "-outputPath", - workingDir.toString() + "/actionSet" - }); - - final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); - - JavaRDD tmp = sc - .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) - .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) - .map(aa -> ((Publication) aa.getPayload())); - - Assertions.assertTrue(tmp.count() == 1); - - Dataset verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class)); - verificationDataset.createOrReplaceTempView("publication"); - - Dataset execVerification = spark - .sql( - "Select p.id oaid, mes.id, mUnit.value from publication p " + - "lateral view explode(measures) m as mes " + - "lateral view explode(mes.unit) u as mUnit "); - - Assertions.assertEquals(4, execVerification.count()); - - Assertions - .assertEquals( - "50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb", - execVerification.select("oaid").collectAsList().get(0).getString(0)); - - Assertions - .assertEquals( - 2, - execVerification.filter("id = 'influence'").count()); - - Assertions - .assertEquals( - 2, - execVerification.filter("id = 'popularity'").count()); - - List tmp_ds = execVerification.filter("id = 'influence'").select("value").collectAsList(); - String tmp_influence = tmp_ds.get(0).getString(0); - Assertions - .assertTrue( - "1.47565045883e-08".equals(tmp_influence) || - "1.98956540239e-08".equals(tmp_influence)); - - tmp_influence = tmp_ds.get(1).getString(0); - Assertions - .assertTrue( - "1.47565045883e-08".equals(tmp_influence) || - "1.98956540239e-08".equals(tmp_influence)); - - Assertions.assertTrue(!tmp_ds.get(0).getString(0).equals(tmp_ds.get(1).getString(0))); - - } - - @Test - public void matchTwo() throws Exception { - String bipScoresPath = getClass() - .getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json") - .getPath(); - String inputPath = getClass() - .getResource( - "/eu/dnetlib/dhp/actionmanager/bipfinder/publication_3.json") - .getPath(); - - SparkAtomicActionScoreJob - .main( - new String[] { - "-isSparkSessionManaged", - Boolean.FALSE.toString(), - "-inputPath", - inputPath, - "-bipScorePath", - bipScoresPath, - "-resultTableName", - "eu.dnetlib.dhp.schema.oaf.Publication", - "-outputPath", - workingDir.toString() + "/actionSet" - }); - - final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); - - JavaRDD tmp = sc - .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) - .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) - .map(aa -> ((Publication) aa.getPayload())); - - Assertions.assertTrue(tmp.count() == 2); - - Dataset verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class)); - verificationDataset.createOrReplaceTempView("publication"); - - Dataset execVerification = spark - .sql( - "Select p.id oaid, mes.id, mUnit.value from publication p " + - "lateral view explode(measures) m as mes " + - "lateral view explode(mes.unit) u as mUnit "); - - Assertions.assertEquals(4, execVerification.count()); - - Assertions - .assertEquals( - 2, - execVerification.filter("oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb'").count()); - - Assertions - .assertEquals( - 2, - execVerification.filter("oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09'").count()); - - Assertions - .assertEquals( - 2, - execVerification.filter("id = 'influence'").count()); - - Assertions - .assertEquals( - 2, - execVerification.filter("id = 'popularity'").count()); - - Assertions - .assertEquals( - "1.47565045883e-08", - execVerification - .filter( - "oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb' " + - "and id = 'influence'") - .select("value") - .collectAsList() - .get(0) - .getString(0)); - - Assertions - .assertEquals( - "1.98956540239e-08", - execVerification - .filter( - "oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09' " + - "and id = 'influence'") - .select("value") - .collectAsList() - .get(0) - .getString(0)); - - Assertions - .assertEquals( - "0.282046161584", - execVerification - .filter( - "oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09' " + - "and id = 'popularity'") - .select("value") - .collectAsList() - .get(0) - .getString(0)); - - Assertions - .assertEquals( - "0.227515392", - execVerification - .filter( - "oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb' " + - "and id = 'popularity'") - .select("value") - .collectAsList() - .get(0) - .getString(0)); - - } - -} diff --git a/dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json b/dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json deleted file mode 100644 index a4f3fa8b8..000000000 --- a/dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json +++ /dev/null @@ -1,1101 +0,0 @@ -{"10.1001/10-v4n2-hsf10003": [{"id": "influence", "unit": [{"value": "1.62759106106e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.22519296", "key": "score"}]}]} -{"10.1001/2012.jama.10456": [{"id": "influence", "unit": [{"value": "1.66083991022e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.8690688", "key": "score"}]}]} -{"10.1001/2013.jamadermatol.729": [{"id": "influence", "unit": [{"value": "2.0769133069e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.0279936", "key": "score"}]}]} -{"10.1001/archderm.107.6.853": [{"id": "influence", "unit": [{"value": "1.95361113607e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.600657255944", "key": "score"}]}]} -{"10.1001/archderm.1926.02370130020002": [{"id": "influence", "unit": [{"value": "1.48611319422e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "8.20903253662e-16", "key": "score"}]}]} -{"10.1001/archpediatrics.2012.157": [{"id": "influence", "unit": [{"value": "1.42089114725e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.1575936", "key": "score"}]}]} -{"10.1002/bjs.1800830139": [{"id": "influence", "unit": [{"value": "3.73834652128e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "1.73174997252", "key": "score"}]}]} -{"10.1016/j.buildenv.2007.01.013": [{"id": "influence", "unit": [{"value": "1.54849335991e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.4885963776", "key": "score"}]}]} -{"10.1016/j.bulcan.2015.02.014": [{"id": "influence", "unit": [{"value": "1.43539656097e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.3456", "key": "score"}]}]} -{"10.1016/j.buildenv.2007.01.014": [{"id": "influence", "unit": [{"value": "1.65673923548e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.61188397056", "key": "score"}]}]} -{"10.1016/j.buildenv.2007.01.015": [{"id": "influence", "unit": [{"value": "1.4250528394e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.05028397056", "key": "score"}]}]} -{"10.1016/j.bulcan.2015.02.016": [{"id": "influence", "unit": [{"value": "1.41753303696e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.42336", "key": "score"}]}]} -{"10.1016/j.buildenv.2009.08.004": [{"id": "influence", "unit": [{"value": "2.40827378083e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "2.3699383296", "key": "score"}]}]} -{"10.1016/j.buildenv.2007.01.016": [{"id": "influence", "unit": [{"value": "2.54472083616e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "3.12517350811", "key": "score"}]}]} -{"10.1016/j.bulcan.2015.03.005": [{"id": "influence", "unit": [{"value": "1.40543881698e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.216", "key": "score"}]}]} -{"10.1016/j.buildenv.2009.08.005": [{"id": "influence", "unit": [{"value": "4.98246170342e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "13.4951290928", "key": "score"}]}]} -{"10.1016/j.buildenv.2007.01.017": [{"id": "influence", "unit": [{"value": "2.8107768688e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "1.99055570262", "key": "score"}]}]} -{"10.1002/bjs.1800770731": [{"id": "influence", "unit": [{"value": "2.12334018404e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.37522926873", "key": "score"}]}]} -{"10.1016/j.buildenv.2007.01.018": [{"id": 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Ce qui nous frappe en premier lieu dans le roman de Melchior Mbonimpa, Le Totem des Baranda, c'est l'efficacité de sa fonction didactique. Le livre est porteur d'un message, d'une vision sur l'histoire de l'Afrique des Grands Lacs qu'on rencontre rarement dans l'actualité ou l'histoire immédiate que nous livrent les médias.

Cette thèse se penchera sur un aspect de ce roman qui a particulièrement attiré notre attention: la représentation de la résistance à travers l'affirmation identitaire des personnages féminins. Dans notre analyse de ce thème, nous accordons une grande importance au contexte socioculturel et à l'imaginaire collectif qui nourrissent l'auteur et dans lesquels s'inscrivent ses personnages. L'étude soulignera la fonction sociale de l'écrivain et relèvera la contribution de la fiction à la culture africaine. Nous mettrons en évidence les positions idéologiques de l'auteur et le message de sensibilisation qu'il adresse à diverses catégories de lecteurs: ceux qui se trouvent en Afrique, les Africains de la diaspora, et les lecteurs non-Africains qui s'intéressent à son œuvre. Cette orientation idéologique affecte évidemment la manière dont s'exprime la résistance des pnncIpaux personnages féminins du roman. Elle détermine la place que cette fiction accorde à la femme, et qui correspond sans doute à la place que, selon les souhaits de l'auteur, la femme devrait occuper dans le contexte culturel africain. Notre étude insiste aussi sur le fait que dans ce roman, la modernité se nourrit de la culture traditionnelle et ne renie pas les valeurs du passé.

Ainsi, le parcours narratif montre que dans leur résistance, les héroïnes de la généalogie vivent à leur époque, mais chacune porte plus loin une mission transmise par les précédentes.

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The superconducting transition in the magnetic resistance of members of the family of bismuth based high temperature superconductors was investigated. Measurements were performed in magnetic fields up to 1.7 T. Small current densities ranging from 0.03 A/cm² to 3.0 A/cm² were applied. The resistivity of Bi₂Sr₂CaCu₂Ox single crystals was analyzed in terms of the thermally activated flux flow expression, ρ =ρ₀U/T exp(-U/T) where T is the temperature. It was found that the activation energy was given by Uα(Hsinθ)^(⁻α) where α≈1/3 and that the prefactor had the form, ρ₀Hsinθ, where H was the applied field and θ the angle of the field with respect to the CuO₂ planes. Results demonstrated that dissipation could be accounted for by the motion of two-dimensional vortices whose density is given by the field, Hsinθ, projected on the CuO₂ planes. Measurements of the resistivity and current dependent resistivity were performed with two Sn-doped and two Sb-doped polycrystalline Bi(1.7)Pb(0.3)Sr₂Ca₂Cu₃O(y) samples. Features in the temperature derivative of the resistivity curves were associated with the presence of a superconducting transition between superconducting grains, coupled by weak links with a distribution of critical currents and critical temperatures, and the superconducting transition within grains. The transition between grains was more strongly suppressed in temperature with the application of a magnetic field in samples with weaker coupling between grains. The presence of a transition in a magnetic field due to weak links between grains was verified at 77 K by the observation of a current dependent resistivity in a magnetic field. Measurements of a Bi₂Sr₂CaCu₂Ox diffusion grown thick film ring were done. The transverse voltage, the voltage at the centre of a 120 μm thick branch with respect to the centre of a 76 μm thick branch, was measured. A higher critical temperature from the presence of more texturing in the 76 μm branch as determined by separate resistivity, x-ray and scanning electron microscopy measurements was consistent with the measurement of a crossover from a negative to positive transverse voltage as the temperature of the sample went through its superconducting transition.

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This study examines Leonard Cohen's novel Beautiful Losers through the lenses of allegorical and authorial theories to appreciate how the novel uses allegorical techniques to code into symbolic terms an exploration of the polysemous nature of the word ''translation.'' The first chapter studies the stylistic and conceptual dimensions of allegory as a literary genre - as critics like Northrop Frye, Angus Fletchet, and Maureen Quilligan help to define it - while arguing that Cohen's novel is consciously allegorical, challenging readers to interpret what it \"means,\" or may mean. The second chapter performs an intensive re-reading of Beautiful Losers, examining how the novel uses complex systems of verbal play (particularly puns) to coordinate a reunification of various dichotomies historical \"reality\"/imaginative myth, secularity/spirituality, enslavement/sanctification, among others - employed throughout the text. The thesis concludes that the novel is perpetually playing with various types of translation (spiritual, linguistic, physical, and so forth), affirming the need for emotionally-charged, devotional forms of expression (like song and prayer) over more clinical attempts to reorder or recreate the world and its inhabitants. Ultimately, this discussion argues that an understanding of the allegorical dimensions of Beautiful Losers may illuminate how Cohen's other works (particularly his songs) may be studied as attempts to associate word with voice, to emphasize the process of expression (translation) rather than just the finished product.

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La NDI a été étudiée dans le cas de diverses applications, y compris en aéronautique et en aérospatiale. Elle permet de calculer des lois de contrôle capables de linéariser et de découpler un modèle non-linéaire à tout point de fonctionnement de son enveloppe d'état. Cependant cette méthode est intrinsèquement non-robuste aux erreurs de modélisation et aux saturations en entrée. En outre, dans un contexte non-linéaire, l'obtention d'une garantie quantifiable du domaine de stabilité atteint reste à l'heure actuelle complexe. Contrairement aux approches classiques de la NDI, notre méthodologie peut être considérée comme un cadre de compensation non-linéaire généralisé qui permet d'intégrer les incertitudes et les saturations en entrée dans le processus de conception. En utilisant des stratégies de contrôle antiwindup, la loi de pilotage peut être calculée grâce à un simple processus en deux phases. Dans ce cadre de travail généralisé des transformations linéaires fractionnaires (LFT - Linear Fractional Transformations) de la boucle fermée non-linéaire peuvent être facilement déduites pour l'analyse de la stabilité robuste en utilisant des outils standards pour de systèmes linéaires. La méthode proposée est testée pour le pilotage d'un véhicule de rentrée atmosphérique de type aile delta lors de ses phases hypersonique, transsonique et subsonique. Pour cette thèse, un simulateur du vol incluant divers facteurs externes ainsi que des erreurs de modélisation a été développé dans Simulink.\n\nThis thesis work is devoted to extending Nonlinear Dynamic Inversion (NDI) for a large scale of\nnonlinear systems while guaranteeing sufficient stability conditions. NDI has been studied in a wide range of applications, including aeronautics and aerospace. It allows to compute nonlinear control laws able to decouple and linearize a model at any operating point of its state envelope. 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central problem for the function and manufacture of materials where performance relies on nanoscale structure is to control the compatibility and interactions of the building blocks. In natural materials, such as nacre, there are examples of multifunctional macromolecules that have combined binding affinities for different materials within the same molecule, thereby bridging these materials and acting as a molecular glue. Here, we describe the use of a designed multifunctional protein that is used for self-assembly of nanofibrillar cellulose. Recent advances in the production of cellulose nanofibrils have given inspiration for new uses of cellulosic materials. Cellulose nanofibrils have mechanical and structural features that open new possibilities for performance in composites and other nanoscale materials. Functionalisation was realised through a bi-functional fusion protein having both an ability to bind to cellulose and a second functionality of surface activity. The cellulose-binding function was obtained using cellulose-binding domains from cellulolytic enzymes and the surface activity through the use of a surface active protein called hydrophobin. 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Ce qui nous frappe en premier lieu dans le roman de Melchior Mbonimpa, Le Totem des Baranda, c'est l'efficacité de sa fonction didactique. Le livre est porteur d'un message, d'une vision sur l'histoire de l'Afrique des Grands Lacs qu'on rencontre rarement dans l'actualité ou l'histoire immédiate que nous livrent les médias.

Cette thèse se penchera sur un aspect de ce roman qui a particulièrement attiré notre attention: la représentation de la résistance à travers l'affirmation identitaire des personnages féminins. Dans notre analyse de ce thème, nous accordons une grande importance au contexte socioculturel et à l'imaginaire collectif qui nourrissent l'auteur et dans lesquels s'inscrivent ses personnages. L'étude soulignera la fonction sociale de l'écrivain et relèvera la contribution de la fiction à la culture africaine. Nous mettrons en évidence les positions idéologiques de l'auteur et le message de sensibilisation qu'il adresse à diverses catégories de lecteurs: ceux qui se trouvent en Afrique, les Africains de la diaspora, et les lecteurs non-Africains qui s'intéressent à son œuvre. Cette orientation idéologique affecte évidemment la manière dont s'exprime la résistance des pnncIpaux personnages féminins du roman. Elle détermine la place que cette fiction accorde à la femme, et qui correspond sans doute à la place que, selon les souhaits de l'auteur, la femme devrait occuper dans le contexte culturel africain. Notre étude insiste aussi sur le fait que dans ce roman, la modernité se nourrit de la culture traditionnelle et ne renie pas les valeurs du passé.

Ainsi, le parcours narratif montre que dans leur résistance, les héroïnes de la généalogie vivent à leur époque, mais chacune porte plus loin une mission transmise par les précédentes.

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The superconducting transition in the magnetic resistance of members of the family of bismuth based high temperature superconductors was investigated. Measurements were performed in magnetic fields up to 1.7 T. Small current densities ranging from 0.03 A/cm² to 3.0 A/cm² were applied. The resistivity of Bi₂Sr₂CaCu₂Ox single crystals was analyzed in terms of the thermally activated flux flow expression, ρ =ρ₀U/T exp(-U/T) where T is the temperature. It was found that the activation energy was given by Uα(Hsinθ)^(⁻α) where α≈1/3 and that the prefactor had the form, ρ₀Hsinθ, where H was the applied field and θ the angle of the field with respect to the CuO₂ planes. Results demonstrated that dissipation could be accounted for by the motion of two-dimensional vortices whose density is given by the field, Hsinθ, projected on the CuO₂ planes. Measurements of the resistivity and current dependent resistivity were performed with two Sn-doped and two Sb-doped polycrystalline Bi(1.7)Pb(0.3)Sr₂Ca₂Cu₃O(y) samples. Features in the temperature derivative of the resistivity curves were associated with the presence of a superconducting transition between superconducting grains, coupled by weak links with a distribution of critical currents and critical temperatures, and the superconducting transition within grains. The transition between grains was more strongly suppressed in temperature with the application of a magnetic field in samples with weaker coupling between grains. The presence of a transition in a magnetic field due to weak links between grains was verified at 77 K by the observation of a current dependent resistivity in a magnetic field. Measurements of a Bi₂Sr₂CaCu₂Ox diffusion grown thick film ring were done. The transverse voltage, the voltage at the centre of a 120 μm thick branch with respect to the centre of a 76 μm thick branch, was measured. A higher critical temperature from the presence of more texturing in the 76 μm branch as determined by separate resistivity, x-ray and scanning electron microscopy measurements was consistent with the measurement of a crossover from a negative to positive transverse voltage as the temperature of the sample went through its superconducting transition.

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This study examines Leonard Cohen's novel Beautiful Losers through the lenses of allegorical and authorial theories to appreciate how the novel uses allegorical techniques to code into symbolic terms an exploration of the polysemous nature of the word ''translation.'' The first chapter studies the stylistic and conceptual dimensions of allegory as a literary genre - as critics like Northrop Frye, Angus Fletchet, and Maureen Quilligan help to define it - while arguing that Cohen's novel is consciously allegorical, challenging readers to interpret what it \"means,\" or may mean. The second chapter performs an intensive re-reading of Beautiful Losers, examining how the novel uses complex systems of verbal play (particularly puns) to coordinate a reunification of various dichotomies historical \"reality\"/imaginative myth, secularity/spirituality, enslavement/sanctification, among others - employed throughout the text. The thesis concludes that the novel is perpetually playing with various types of translation (spiritual, linguistic, physical, and so forth), affirming the need for emotionally-charged, devotional forms of expression (like song and prayer) over more clinical attempts to reorder or recreate the world and its inhabitants. Ultimately, this discussion argues that an understanding of the allegorical dimensions of Beautiful Losers may illuminate how Cohen's other works (particularly his songs) may be studied as attempts to associate word with voice, to emphasize the process of expression (translation) rather than just the finished product.

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La NDI a été étudiée dans le cas de diverses applications, y compris en aéronautique et en aérospatiale. Elle permet de calculer des lois de contrôle capables de linéariser et de découpler un modèle non-linéaire à tout point de fonctionnement de son enveloppe d'état. Cependant cette méthode est intrinsèquement non-robuste aux erreurs de modélisation et aux saturations en entrée. En outre, dans un contexte non-linéaire, l'obtention d'une garantie quantifiable du domaine de stabilité atteint reste à l'heure actuelle complexe. Contrairement aux approches classiques de la NDI, notre méthodologie peut être considérée comme un cadre de compensation non-linéaire généralisé qui permet d'intégrer les incertitudes et les saturations en entrée dans le processus de conception. En utilisant des stratégies de contrôle antiwindup, la loi de pilotage peut être calculée grâce à un simple processus en deux phases. Dans ce cadre de travail généralisé des transformations linéaires fractionnaires (LFT - Linear Fractional Transformations) de la boucle fermée non-linéaire peuvent être facilement déduites pour l'analyse de la stabilité robuste en utilisant des outils standards pour de systèmes linéaires. La méthode proposée est testée pour le pilotage d'un véhicule de rentrée atmosphérique de type aile delta lors de ses phases hypersonique, transsonique et subsonique. Pour cette thèse, un simulateur du vol incluant divers facteurs externes ainsi que des erreurs de modélisation a été développé dans Simulink.\n\nThis thesis work is devoted to extending Nonlinear Dynamic Inversion (NDI) for a large scale of\nnonlinear systems while guaranteeing sufficient stability conditions. NDI has been studied in a wide range of applications, including aeronautics and aerospace. It allows to compute nonlinear control laws able to decouple and linearize a model at any operating point of its state envelope. 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central problem for the function and manufacture of materials where performance relies on nanoscale structure is to control the compatibility and interactions of the building blocks. In natural materials, such as nacre, there are examples of multifunctional macromolecules that have combined binding affinities for different materials within the same molecule, thereby bridging these materials and acting as a molecular glue. Here, we describe the use of a designed multifunctional protein that is used for self-assembly of nanofibrillar cellulose. Recent advances in the production of cellulose nanofibrils have given inspiration for new uses of cellulosic materials. Cellulose nanofibrils have mechanical and structural features that open new possibilities for performance in composites and other nanoscale materials. Functionalisation was realised through a bi-functional fusion protein having both an ability to bind to cellulose and a second functionality of surface activity. The cellulose-binding function was obtained using cellulose-binding domains from cellulolytic enzymes and the surface activity through the use of a surface active protein called hydrophobin. 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Ce qui nous frappe en premier lieu dans le roman de Melchior Mbonimpa, Le Totem des Baranda, c'est l'efficacité de sa fonction didactique. Le livre est porteur d'un message, d'une vision sur l'histoire de l'Afrique des Grands Lacs qu'on rencontre rarement dans l'actualité ou l'histoire immédiate que nous livrent les médias.

Cette thèse se penchera sur un aspect de ce roman qui a particulièrement attiré notre attention: la représentation de la résistance à travers l'affirmation identitaire des personnages féminins. Dans notre analyse de ce thème, nous accordons une grande importance au contexte socioculturel et à l'imaginaire collectif qui nourrissent l'auteur et dans lesquels s'inscrivent ses personnages. L'étude soulignera la fonction sociale de l'écrivain et relèvera la contribution de la fiction à la culture africaine. Nous mettrons en évidence les positions idéologiques de l'auteur et le message de sensibilisation qu'il adresse à diverses catégories de lecteurs: ceux qui se trouvent en Afrique, les Africains de la diaspora, et les lecteurs non-Africains qui s'intéressent à son œuvre. Cette orientation idéologique affecte évidemment la manière dont s'exprime la résistance des pnncIpaux personnages féminins du roman. Elle détermine la place que cette fiction accorde à la femme, et qui correspond sans doute à la place que, selon les souhaits de l'auteur, la femme devrait occuper dans le contexte culturel africain. Notre étude insiste aussi sur le fait que dans ce roman, la modernité se nourrit de la culture traditionnelle et ne renie pas les valeurs du passé.

Ainsi, le parcours narratif montre que dans leur résistance, les héroïnes de la généalogie vivent à leur époque, mais chacune porte plus loin une mission transmise par les précédentes.

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The superconducting transition in the magnetic resistance of members of the family of bismuth based high temperature superconductors was investigated. Measurements were performed in magnetic fields up to 1.7 T. Small current densities ranging from 0.03 A/cm² to 3.0 A/cm² were applied. The resistivity of Bi₂Sr₂CaCu₂Ox single crystals was analyzed in terms of the thermally activated flux flow expression, ρ =ρ₀U/T exp(-U/T) where T is the temperature. It was found that the activation energy was given by Uα(Hsinθ)^(⁻α) where α≈1/3 and that the prefactor had the form, ρ₀Hsinθ, where H was the applied field and θ the angle of the field with respect to the CuO₂ planes. Results demonstrated that dissipation could be accounted for by the motion of two-dimensional vortices whose density is given by the field, Hsinθ, projected on the CuO₂ planes. Measurements of the resistivity and current dependent resistivity were performed with two Sn-doped and two Sb-doped polycrystalline Bi(1.7)Pb(0.3)Sr₂Ca₂Cu₃O(y) samples. Features in the temperature derivative of the resistivity curves were associated with the presence of a superconducting transition between superconducting grains, coupled by weak links with a distribution of critical currents and critical temperatures, and the superconducting transition within grains. The transition between grains was more strongly suppressed in temperature with the application of a magnetic field in samples with weaker coupling between grains. The presence of a transition in a magnetic field due to weak links between grains was verified at 77 K by the observation of a current dependent resistivity in a magnetic field. Measurements of a Bi₂Sr₂CaCu₂Ox diffusion grown thick film ring were done. The transverse voltage, the voltage at the centre of a 120 μm thick branch with respect to the centre of a 76 μm thick branch, was measured. A higher critical temperature from the presence of more texturing in the 76 μm branch as determined by separate resistivity, x-ray and scanning electron microscopy measurements was consistent with the measurement of a crossover from a negative to positive transverse voltage as the temperature of the sample went through its superconducting transition.

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This study examines Leonard Cohen's novel Beautiful Losers through the lenses of allegorical and authorial theories to appreciate how the novel uses allegorical techniques to code into symbolic terms an exploration of the polysemous nature of the word ''translation.'' The first chapter studies the stylistic and conceptual dimensions of allegory as a literary genre - as critics like Northrop Frye, Angus Fletchet, and Maureen Quilligan help to define it - while arguing that Cohen's novel is consciously allegorical, challenging readers to interpret what it \"means,\" or may mean. The second chapter performs an intensive re-reading of Beautiful Losers, examining how the novel uses complex systems of verbal play (particularly puns) to coordinate a reunification of various dichotomies historical \"reality\"/imaginative myth, secularity/spirituality, enslavement/sanctification, among others - employed throughout the text. The thesis concludes that the novel is perpetually playing with various types of translation (spiritual, linguistic, physical, and so forth), affirming the need for emotionally-charged, devotional forms of expression (like song and prayer) over more clinical attempts to reorder or recreate the world and its inhabitants. Ultimately, this discussion argues that an understanding of the allegorical dimensions of Beautiful Losers may illuminate how Cohen's other works (particularly his songs) may be studied as attempts to associate word with voice, to emphasize the process of expression (translation) rather than just the finished product.

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travail de thèse est consacré à l'extension de l'Inversion Dynamique non-linéaire (NDI-Nonlinear Dynamic Inversion) pour un ensemble plus grand de systèmes non-linéaires, tout en garantissant des conditions de stabilité suffisantes. La NDI a été étudiée dans le cas de diverses applications, y compris en aéronautique et en aérospatiale. Elle permet de calculer des lois de contrôle capables de linéariser et de découpler un modèle non-linéaire à tout point de fonctionnement de son enveloppe d'état. Cependant cette méthode est intrinsèquement non-robuste aux erreurs de modélisation et aux saturations en entrée. En outre, dans un contexte non-linéaire, l'obtention d'une garantie quantifiable du domaine de stabilité atteint reste à l'heure actuelle complexe. Contrairement aux approches classiques de la NDI, notre méthodologie peut être considérée comme un cadre de compensation non-linéaire généralisé qui permet d'intégrer les incertitudes et les saturations en entrée dans le processus de conception. En utilisant des stratégies de contrôle antiwindup, la loi de pilotage peut être calculée grâce à un simple processus en deux phases. Dans ce cadre de travail généralisé des transformations linéaires fractionnaires (LFT - Linear Fractional Transformations) de la boucle fermée non-linéaire peuvent être facilement déduites pour l'analyse de la stabilité robuste en utilisant des outils standards pour de systèmes linéaires. La méthode proposée est testée pour le pilotage d'un véhicule de rentrée atmosphérique de type aile delta lors de ses phases hypersonique, transsonique et subsonique. Pour cette thèse, un simulateur du vol incluant divers facteurs externes ainsi que des erreurs de modélisation a été développé dans Simulink.\n\nThis thesis work is devoted to extending Nonlinear Dynamic Inversion (NDI) for a large scale of\nnonlinear systems while guaranteeing sufficient stability conditions. NDI has been studied in a wide range of applications, including aeronautics and aerospace. It allows to compute nonlinear control laws able to decouple and linearize a model at any operating point of its state envelope. However, this method is inherently non-robust to modelling errors and input saturations. Moreover, obtaining a quantifiable guarantee of the attained stability domain in a nonlinear control context is not a very straightforward task. Unlike standard NDI approaches, our methodology can be viewed as a generalized nonlinear compensation framework which allows to incorporate uncertainties and input saturations in the design process. Paralleling anti-windup strategies, the controller can be computed through a single multichannel optimization problem or through a simple two-step process. Within this framework, linear fractional transformations of the nonlinear closed-loop can be easily derived for robust stability analysis using standard tools for linear systems. The proposed method is tested for the flight control of a delta wing type reentry vehicle at hypersonic, transonic and subsonic phases of the atmospheric reentry. For this thesis work, a Flight Mechanics simulator including diverse external factors and modelling errors was developed in Simulink."}],"externalReference":[],"extraInfo":[],"format":[],"fulltext":[],"id":"50|artemis___fr::630e47d8b572e3df0e91327d6d8f036d","instance":[{"accessright":{"classid":"OPEN","classname":"Open Access","schemeid":"dnet:access_modes","schemename":"dnet:access_modes"},"collectedfrom":{"key":"10|driver______::66c20c26ac26136628f5207819ae1abc","value":"Archives des thèses et mémoires de l’ISAE (ArTeMIS)"},"dateofacceptance":{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"","inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:repository","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"value":"2012-09-21"},"distributionlocation":"","hostedby":{"key":"10|driver______::66c20c26ac26136628f5207819ae1abc","value":"Archives des thèses et mémoires de l’ISAE 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atmosphérique"},{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"","inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:repository","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"qualifier":{"classid":"main title","classname":"main title","schemeid":"dnet:dataCite_title","schemename":"dnet:dataCite_title"},"value":"A generalized framework for robust nonlinear compensation : application to an atmospheric reentry control problem"}]} \ No newline at end of file From 2e503ee101bca19d610b51ad1738cc0c0c12ad0e Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Thu, 17 Dec 2020 13:47:38 +0100 Subject: [PATCH 16/40] code formatting --- .../java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java | 4 ++-- .../actionmanager/bipfinder/SparkAtomicActionScoreJob.java | 1 - 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java index da9a4bd0c..247546694 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipScore.java @@ -9,8 +9,8 @@ import java.util.List; */ public class BipScore implements Serializable { - private String id; //doi - private List scoreList; //unit as given in the inputfile + private String id; // doi + private List scoreList; // unit as given in the inputfile public String getId() { return id; diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java index 23764f38e..50bda898c 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java @@ -144,7 +144,6 @@ public class SparkAtomicActionScoreJob implements Serializable { } - private static List getMeasure(BipScore value) { return value .getScoreList() From 47270d9af59ab3a5b1fe0fd93466315ca5560062 Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Fri, 18 Dec 2020 15:38:59 +0100 Subject: [PATCH 17/40] lenient mock can be lenient --- .../dhp/oa/graph/raw/MigrateDbEntitiesApplicationTest.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MigrateDbEntitiesApplicationTest.java b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MigrateDbEntitiesApplicationTest.java index 9cf75f208..0d1ec1ad1 100644 --- a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MigrateDbEntitiesApplicationTest.java +++ b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MigrateDbEntitiesApplicationTest.java @@ -35,7 +35,7 @@ public class MigrateDbEntitiesApplicationTest { private MigrateDbEntitiesApplication app; - @Mock + @Mock(lenient = true) private ResultSet rs; @Mock From 2a074c3b2b37519f42698661c772f034633e9813 Mon Sep 17 00:00:00 2001 From: antleb Date: Fri, 18 Dec 2020 18:40:48 +0200 Subject: [PATCH 18/40] Changed typo in script names --- .../eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml index dcd034166..7bd9ce1b6 100644 --- a/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml +++ b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml @@ -259,7 +259,7 @@ ${hive_jdbc_url} - + stats_db_name=${stats_db_name} stats_db_shadow_name=${stats_db_shadow_name} @@ -288,7 +288,7 @@ impala-shell.sh ${stats_db_shadow_name} computeProductionStats.sql - ${wf:appPath()}/scripts/computeProductionStats.sql + ${wf:appPath()}/scripts/step19.sql impala-shell.sh From 6cb0dc3f433d385739cac12049b44a9d128b220c Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Mon, 21 Dec 2020 11:40:17 +0100 Subject: [PATCH 19/40] extended OCRID cleaning procedure --- .../dhp/oa/graph/clean/CleaningFunctions.java | 29 +++++++++++++++---- 1 file changed, 23 insertions(+), 6 deletions(-) diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleaningFunctions.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleaningFunctions.java index fbb20f143..798eae4dd 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleaningFunctions.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleaningFunctions.java @@ -16,7 +16,7 @@ import eu.dnetlib.dhp.schema.oaf.*; public class CleaningFunctions { public static final String DOI_URL_PREFIX_REGEX = "(^http(s?):\\/\\/)(((dx\\.)?doi\\.org)|(handle\\.test\\.datacite\\.org))\\/"; - public static final String ORCID_PREFIX_REGEX = "^http(s?):\\/\\/orcid\\.org\\/"; + public static final String ORCID_CLEANING_REGEX = ".*([0-9]{4}).*[-–—−=].*([0-9]{4}).*[-–—−=].*([0-9]{4}).*[-–—−=].*([0-9x]{4})"; public static final String CLEANING_REGEX = "(?:\\n|\\r|\\t)"; public static final Set PID_BLACKLIST = new HashSet<>(); @@ -211,14 +211,31 @@ public class CleaningFunctions { .map(Qualifier::getClassid) .orElse("")) .orElse(""); - if (pidProvenance.equals(ModelConstants.SYSIMPORT_CROSSWALK_ENTITYREGISTRY)) { - p.getQualifier().setClassid(ModelConstants.ORCID); - } else { - p.getQualifier().setClassid(ModelConstants.ORCID_PENDING); + if (p + .getQualifier() + .getClassid() + .toLowerCase() + .contains(ModelConstants.ORCID)) { + if (pidProvenance + .equals(ModelConstants.SYSIMPORT_CROSSWALK_ENTITYREGISTRY)) { + p.getQualifier().setClassid(ModelConstants.ORCID); + } else { + p.getQualifier().setClassid(ModelConstants.ORCID_PENDING); + } + final String orcid = p + .getValue() + .trim() + .toLowerCase() + .replaceAll(ORCID_CLEANING_REGEX, "$1-$2-$3-$4"); + if (orcid.length() == 19) { + p.setValue(orcid); + } else { + p.setValue(""); + } } - p.setValue(p.getValue().trim().replaceAll(ORCID_PREFIX_REGEX, "")); return p; }) + .filter(p -> StringUtils.isNotBlank(p.getValue())) .collect( Collectors .toMap( From 794e22b09cff59a48459c7574e61b07cdfbba1f4 Mon Sep 17 00:00:00 2001 From: miconis Date: Mon, 21 Dec 2020 17:51:42 +0100 Subject: [PATCH 20/40] bug fix in the authormerge: now authors with higher size have priority, normalization of author name fixed --- .../eu/dnetlib/dhp/oa/merge/AuthorMerger.java | 48 +++++++-- .../dhp/oa/merge/AuthorMergerTest.java | 97 +++++++++++++++++++ .../oa/merge/publications_with_authors.json | 3 + 3 files changed, 138 insertions(+), 10 deletions(-) create mode 100644 dhp-common/src/test/java/eu/dnetlib/dhp/oa/merge/AuthorMergerTest.java create mode 100644 dhp-common/src/test/resources/eu/dnetlib/dhp/oa/merge/publications_with_authors.json diff --git a/dhp-common/src/main/java/eu/dnetlib/dhp/oa/merge/AuthorMerger.java b/dhp-common/src/main/java/eu/dnetlib/dhp/oa/merge/AuthorMerger.java index 17482c019..5ad4598a6 100644 --- a/dhp-common/src/main/java/eu/dnetlib/dhp/oa/merge/AuthorMerger.java +++ b/dhp-common/src/main/java/eu/dnetlib/dhp/oa/merge/AuthorMerger.java @@ -4,6 +4,7 @@ package eu.dnetlib.dhp.oa.merge; import java.text.Normalizer; import java.util.*; import java.util.stream.Collectors; +import java.util.stream.Stream; import org.apache.commons.lang3.StringUtils; @@ -32,6 +33,24 @@ public class AuthorMerger { } + public static List mergeAuthor(final List a, final List b, Double threshold) { + int pa = countAuthorsPids(a); + int pb = countAuthorsPids(b); + List base, enrich; + int sa = authorsSize(a); + int sb = authorsSize(b); + + if (sa == sb) { + base = pa > pb ? a : b; + enrich = pa > pb ? b : a; + } else { + base = sa > sb ? a : b; + enrich = sa > sb ? b : a; + } + enrichPidFromList(base, enrich, threshold); + return base; + } + public static List mergeAuthor(final List a, final List b) { int pa = countAuthorsPids(a); int pb = countAuthorsPids(b); @@ -39,20 +58,22 @@ public class AuthorMerger { int sa = authorsSize(a); int sb = authorsSize(b); - if (pa == pb) { - base = sa > sb ? a : b; - enrich = sa > sb ? b : a; - } else { + if (sa == sb) { base = pa > pb ? a : b; enrich = pa > pb ? b : a; + } else { + base = sa > sb ? a : b; + enrich = sa > sb ? b : a; } - enrichPidFromList(base, enrich); + enrichPidFromList(base, enrich, THRESHOLD); return base; } - private static void enrichPidFromList(List base, List enrich) { + private static void enrichPidFromList(List base, List enrich, Double threshold) { if (base == null || enrich == null) return; + + // (if an Author has more than 1 pid, it appears 2 times in the list) final Map basePidAuthorMap = base .stream() .filter(a -> a.getPid() != null && a.getPid().size() > 0) @@ -63,6 +84,7 @@ public class AuthorMerger { .map(p -> new Tuple2<>(pidToComparableString(p), a))) .collect(Collectors.toMap(Tuple2::_1, Tuple2::_2, (x1, x2) -> x1)); + // (list of pid that are missing in the other list) final List> pidToEnrich = enrich .stream() .filter(a -> a.getPid() != null && a.getPid().size() > 0) @@ -74,6 +96,7 @@ public class AuthorMerger { .map(p -> new Tuple2<>(p, a))) .collect(Collectors.toList()); + pidToEnrich .forEach( a -> { @@ -83,10 +106,10 @@ public class AuthorMerger { .max(Comparator.comparing(Tuple2::_1)); if (simAuthor.isPresent()) { - double th = THRESHOLD; + double th = threshold; // increase the threshold if the surname is too short if (simAuthor.get()._2().getSurname() != null - && simAuthor.get()._2().getSurname().length() <= 3) + && simAuthor.get()._2().getSurname().length() <= 3 && threshold > 0.0) th = 0.99; if (simAuthor.get()._1() > th) { @@ -156,7 +179,7 @@ public class AuthorMerger { } private static String normalize(final String s) { - return nfd(s) + String[] normalized = nfd(s) .toLowerCase() // do not compact the regexes in a single expression, would cause StackOverflowError // in case @@ -166,7 +189,12 @@ public class AuthorMerger { .replaceAll("(\\p{Punct})+", " ") .replaceAll("(\\d)+", " ") .replaceAll("(\\n)+", " ") - .trim(); + .trim() + .split(" "); + + Arrays.sort(normalized); + + return String.join(" ", normalized); } private static String nfd(final String s) { diff --git a/dhp-common/src/test/java/eu/dnetlib/dhp/oa/merge/AuthorMergerTest.java b/dhp-common/src/test/java/eu/dnetlib/dhp/oa/merge/AuthorMergerTest.java new file mode 100644 index 000000000..1ff9753be --- /dev/null +++ b/dhp-common/src/test/java/eu/dnetlib/dhp/oa/merge/AuthorMergerTest.java @@ -0,0 +1,97 @@ +package eu.dnetlib.dhp.oa.merge; + +import eu.dnetlib.dhp.schema.oaf.Author; +import eu.dnetlib.dhp.schema.oaf.Publication; +import eu.dnetlib.dhp.schema.oaf.StructuredProperty; +import eu.dnetlib.pace.util.MapDocumentUtil; +import org.codehaus.jackson.map.ObjectMapper; +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.BeforeEach; +import org.junit.jupiter.api.Test; +import scala.Tuple2; + +import java.io.BufferedReader; +import java.io.FileReader; +import java.io.IOException; +import java.nio.file.Paths; +import java.util.ArrayList; +import java.util.List; +import java.util.stream.Collectors; + +public class AuthorMergerTest { + + String publicationsBasePath; + + List> authors; + + @BeforeEach + public void setUp() throws Exception { + + publicationsBasePath = Paths + .get(AuthorMergerTest.class.getResource("/eu/dnetlib/dhp/oa/merge").toURI()) + .toFile() + .getAbsolutePath(); + + authors = + readSample(publicationsBasePath + "/publications_with_authors.json", Publication.class) + .stream() + .map(p -> p._2().getAuthor()).collect(Collectors.toList()); + + } + + @Test + public void mergeTest() { //used in the dedup: threshold set to 0.95 + + for (List authors1: authors){ + System.out.println("List " + (authors.indexOf(authors1)+1)); + for (Author author: authors1){ + System.out.println(authorToString(author)); + } + } + + List merge = AuthorMerger.merge(authors); + + System.out.println("Merge "); + for (Author author: merge) { + System.out.println(authorToString(author)); + } + + Assertions.assertEquals(7, merge.size()); + + } + + public List> readSample(String path, Class clazz) { + List> res = new ArrayList<>(); + BufferedReader reader; + try { + reader = new BufferedReader(new FileReader(path)); + String line = reader.readLine(); + while (line != null) { + res + .add( + new Tuple2<>( + MapDocumentUtil.getJPathString("$.id", line), + new ObjectMapper().readValue(line, clazz))); + // read next line + line = reader.readLine(); + } + reader.close(); + } catch (IOException e) { + e.printStackTrace(); + } + + return res; + } + + public String authorToString(Author a){ + + String print = "Fullname = "; + print += a.getFullname() + " pid = ["; + if (a.getPid() != null) + for (StructuredProperty sp : a.getPid()) { + print += sp.toComparableString() + " "; + } + print += "]"; + return print; + } +} diff --git a/dhp-common/src/test/resources/eu/dnetlib/dhp/oa/merge/publications_with_authors.json b/dhp-common/src/test/resources/eu/dnetlib/dhp/oa/merge/publications_with_authors.json new file mode 100644 index 000000000..600181ba5 --- /dev/null +++ b/dhp-common/src/test/resources/eu/dnetlib/dhp/oa/merge/publications_with_authors.json @@ -0,0 +1,3 @@ +{ "journal":{ "dataInfo":null, "conferenceplace":null, "issnPrinted":"0009-9260", "issnOnline":null, "issnLinking":null, "ep":"636", "iss":null, "sp":"632", "vol":"55", "edition":null, "conferencedate":null, "name":"Clinical Radiology" }, "measures":null, "author":[ { "rank":null, "fullname":"KARL TURETSCHEK", "affiliation":null, "pid":null, "surname":"TURETSCHEK", "name":"KARL" }, { "rank":null, "fullname":"WOLFGANG EBNER", "affiliation":null, "pid":null, "surname":"EBNER", "name":"WOLFGANG" }, { "rank":null, "fullname":"DOMINIK FLEISCHMANN", "affiliation":null, "pid":null, "surname":"FLEISCHMANN", "name":"DOMINIK" }, { "rank":null, "fullname":"PATRICK WUNDERBALDINGER", "affiliation":null, "pid":null, "surname":"WUNDERBALDINGER", "name":"PATRICK" }, { "rank":null, "fullname":"LUDWIG ERLACHER", "affiliation":null, "pid":null, "surname":"ERLACHER", "name":"LUDWIG" }, { "rank":null, "fullname":"THOMAS ZONTSICH", "affiliation":null, "pid":null, "surname":"ZONTSICH", "name":"THOMAS" }, { "rank":null, "fullname":"ALEXANDER A. BANKIER", "affiliation":null, "pid":null, "surname":"BANKIER", "name":"ALEXANDER A." } ], "resulttype":{ "classid":"publication", "schemeid":"dnet:result_typologies", "schemename":"dnet:result_typologies", "classname":"publication"}, "title":[ { "qualifier":{ "classid":"main title", "schemeid":"dnet:dataCite_title", "schemename":"dnet:dataCite_title", "classname":"main title" }, "dataInfo":null, "value":"Early Pulmonary Involvement in Ankylosing Spondylitis: Assessment With Thin-section CT" } ], "relevantdate":[ { "qualifier":{ "classid":"created", "schemeid":"dnet:dataCite_date", "schemename":"dnet:dataCite_date", "classname":"created" }, "dataInfo":null, "value":"2002-09-19T13:54:50Z" } ], "dateofacceptance":{ "dataInfo":null, "value":"2002-09-19T13:54:50Z" }, "publisher":{ "dataInfo":null, "value":"Elsevier BV" }, "embargoenddate":null, "fulltext":null, "contributor":null, "resourcetype":{ "classid":"0001", "schemeid":"dnet:dataCite_resource", "schemename":"dnet:dataCite_resource", "classname":"0001"}, "coverage":null, "bestaccessright":null, "externalReference":null, "format":null, "description":[ ], "source":[ { "dataInfo":null, "value":"Crossref" } ], "subject":[ { "qualifier":{ "classid":"keywords", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"keywords" }, "dataInfo":null, "value":"Radiology Nuclear Medicine and imaging" }, { "qualifier":{ "classid":"keywords", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"keywords" }, "dataInfo":null, "value":"General Medicine" } ], "language":null, "instance":[ { "processingchargecurrency":null, "refereed":null, "instancetype":{ "classid":"0001", "schemeid":"dnet:publication_resource", "schemename":"dnet:publication_resource", "classname":"Article" }, "hostedby":null, "distributionlocation":null, "processingchargeamount":null, "license":{ "dataInfo":null, "value":"https://www.elsevier.com/tdm/userlicense/1.0/" }, "accessright":{ "classid":"RESTRICTED", "schemeid":"dnet:access_modes", "schemename":"dnet:access_modes", "classname":"Restricted" }, "dateofacceptance":{ "dataInfo":null, "value":"2002-09-19T13:54:50Z" }, "collectedfrom":{ "dataInfo":null, "value":"Crossref", "key":"10|openaire____::081b82f96300b6a6e3d282bad31cb6e2" }, "url":[ "https://api.elsevier.com/content/article/PII:S0009926000904987?httpAccept=text/xml", "https://api.elsevier.com/content/article/PII:S0009926000904987?httpAccept=text/plain", "http://dx.doi.org/10.1053/crad.2000.0498" ] } ], "context":null, "country":null, "originalId":[ "S0009926000904987", "10.1053/crad.2000.0498" ], "pid":[ { "qualifier":{ "classid":"doi", "schemeid":"dnet:pid_types", "schemename":"dnet:pid_types", "classname":"doi" }, "dataInfo":null, "value":"10.1053/crad.2000.0498" } ], "dateofcollection":"2020-02-06T20:40:22Z", "dateoftransformation":null, "oaiprovenance":null, "extraInfo":null, "id":"50|doiboost____::994b7e47b9e225ab6d5e14841cb45a7f", "collectedfrom":[ { "dataInfo":null, "value":"Crossref", "key":"10|openaire____::081b82f96300b6a6e3d282bad31cb6e2" } ], "dataInfo":{ "trust":"0.9", "invisible":false, "inferred":false, "deletedbyinference":false, "inferenceprovenance":null, "provenanceaction":{ "classid":"sysimport:actionset", "schemeid":"dnet:provenanceActions", "schemename":"dnet:provenanceActions", "classname":"sysimport:actionset" } }, "lastupdatetimestamp":1581021622595 } +{ "journal":null, "measures":null, "author":[ { "rank":null, "fullname":"Dominik Fleischmann", "affiliation":null, "pid":[ { "qualifier":{ "classid":"ORCID", "schemeid":"dnet:pid_types", "schemename":"dnet:pid_types", "classname":"ORCID" }, "dataInfo":{ "trust":"0.91", "invisible":false, "inferred":false, "deletedbyinference":false, "inferenceprovenance":null, "provenanceaction":{ "classid":"sysimport:crosswalk:entityregistry", "schemeid":"dnet:provenanceActions", "schemename":"dnet:provenanceActions", "classname":"Harvested"} }, "value":"0000-0003-0715-0952" } ], "surname":"Fleischmann", "name":"Dominik" } ], "resulttype":{ "classid":"publication", "schemeid":"dnet:result_typologies", "schemename":"dnet:result_typologies", "classname":"publication"}, "title":[ ], "relevantdate":[ ], "dateofacceptance":null, "publisher":null, "embargoenddate":null, "fulltext":[ ], "contributor":[ ], "resourcetype":null, "coverage":[ ], "bestaccessright":null, "externalReference":[ ], "format":[ ], "description":null, "source":[ ], "subject":[ ], "language":null, "instance":[ ], "context":[ ], "country":[ ], "originalId":[ ], "pid":[ { "qualifier":{ "classid":"doi", "schemeid":"dnet:pid_types", "schemename":"dnet:pid_types", "classname":"doi"}, "dataInfo":null, "value":"10.1053/crad.2000.0498" } ], "dateofcollection":null, "dateoftransformation":null, "oaiprovenance":null, "extraInfo":[ ], "id":"50|doiboost____::994b7e47b9e225ab6d5e14841cb45a7f", "collectedfrom":[ { "dataInfo":null, "value":"ORCID", "key":"10|openaire____::806360c771262b4d6770e7cdf04b5c5a" } ], "dataInfo":{ "trust":"0.9", "invisible":false, "inferred":false, "deletedbyinference":false, "inferenceprovenance":null, "provenanceaction":{ "classid":"sysimport:actionset", "schemeid":"dnet:provenanceActions", "schemename":"dnet:provenanceActions", "classname":"sysimport:actionset" } }, "lastupdatetimestamp":null } +{ "journal":{ "dataInfo":null, "conferenceplace":null, "issnPrinted":"0009-9260", "issnOnline":null, "issnLinking":null, "ep":"636", "iss":"8", "sp":"632", "vol":"55", "edition":null, "conferencedate":null, "name":"Clinical Radiology" }, "measures":null, "author":[ { "rank":null, "fullname":"T. Zontsich", "affiliation":[ { "dataInfo":null, "value":"University of Vienna" } ], "pid":[ { "qualifier":{ "classid":"URL", "schemeid":"dnet:pid_types", "schemename":"dnet:pid_types", "classname":"URL"}, "dataInfo":null, "value":"https://academic.microsoft.com/#/detail/1966908432" } ], "surname":null, "name":null }, { "rank":null, "fullname":"L Erlacher", "affiliation":[ { "dataInfo":null, "value":"University of Vienna" } ], "pid":[ { "qualifier":{ "classid":"URL", "schemeid":"dnet:pid_types", "schemename":"dnet:pid_types", "classname":"URL"}, "dataInfo":null, "value":"https://academic.microsoft.com/#/detail/687931320" } ], "surname":null, "name":null }, { "rank":null, "fullname":"Dominik Fleischmann", "affiliation":[ { "dataInfo":null, "value":"University of Vienna" } ], "pid":[ { "qualifier":{ "classid":"URL", "schemeid":"dnet:pid_types", "schemename":"dnet:pid_types", "classname":"URL"}, "dataInfo":null, "value":"https://academic.microsoft.com/#/detail/2156559961" } ], "surname":null, "name":null }, { "rank":null, "fullname":"Alexander A. Bankier", "affiliation":[ { "dataInfo":null, "value":"University of Vienna" } ], "pid":[ { "qualifier":{ "classid":"URL", "schemeid":"dnet:pid_types", "schemename":"dnet:pid_types", "classname":"URL"}, "dataInfo":null, "value":"https://academic.microsoft.com/#/detail/1107971609" } ], "surname":null, "name":null }, { "rank":null, "fullname":"Patrick Wunderbaldinger", "affiliation":[ { "dataInfo":null, "value":"University of Vienna" } ], "pid":[ { "qualifier":{ "classid":"URL", "schemeid":"dnet:pid_types", "schemename":"dnet:pid_types", "classname":"URL" }, "dataInfo":null, "value":"https://academic.microsoft.com/#/detail/2422340537" } ], "surname":null, "name":null }, { "rank":null, "fullname":"Wolfgang Ebner", "affiliation":null, "pid":[ { "qualifier":{ "classid":"URL", "schemeid":"dnet:pid_types", "schemename":"dnet:pid_types", "classname":"URL" }, "dataInfo":null, "value":"https://academic.microsoft.com/#/detail/2186462571" } ], "surname":null, "name":null }, { "rank":null, "fullname":"K. Turetschek", "affiliation":[ { "dataInfo":null, "value":"University of Vienna" } ], "pid":[ { "qualifier":{ "classid":"URL", "schemeid":"dnet:pid_types", "schemename":"dnet:pid_types", "classname":"URL" }, "dataInfo":null, "value":"https://academic.microsoft.com/#/detail/321765676" } ], "surname":null, "name":null } ], "resulttype":{ "classid":"publication", "schemeid":"dnet:result_typologies", "schemename":"dnet:result_typologies", "classname":"publication" }, "title":[ { "qualifier":{ "classid":"main title", "schemeid":"dnet:dataCite_title", "schemename":"dnet:dataCite_title", "classname":"main title" }, "dataInfo":null, "value":"early pulmonary involvement in ankylosing spondylitis assessment with thin section ct" }, { "qualifier":{ "classid":"alternative title", "schemeid":"dnet:dataCite_title", "schemename":"dnet:dataCite_title", "classname":"alternative title" }, "dataInfo":null, "value":"Early pulmonary involvement in ankylosing spondylitis: assessment with thin-section CT." } ], "relevantdate":null, "dateofacceptance":{ "dataInfo":null, "value":"2000-08-01" }, "publisher":{ "dataInfo":null, "value":"Elsevier" }, "embargoenddate":null, "fulltext":null, "contributor":null, "resourcetype":null, "coverage":null, "bestaccessright":null, "externalReference":null, "format":null, "description":[ { "dataInfo":null, "value":"Abstract AIM: To determine the frequency and the distribution of early pulmonary lesions in patients with ankylosing spondylitis (AS) and a normal chest X-ray on thin-section CT and to correlate the CT findings with the results of pulmonary function tests and clinical data. MATERIALS AND METHODS: Twenty-five patients with clinically proven AS and no history of smoking underwent clinical examinations, pulmonary function tests (PFT), chest radiography, and thin-section CT. Four of 25 patients (16%), who had obvious signs on plain films suggestive of pre-existing disorders unrelated to AS were excluded. RESULTS: Fifteen of 21 patients (71%) had abnormalities on thin-section CT. The most frequent abnormalities were thickening of the interlobular septa in seven of 21 patients (33%), mild bronchial wall thickening in (6/21, 29%), pleural thickening and pleuropulmonary irregularities (both 29%) and linear septal thickening (6/21, 29%). In six patients there were no signs of pleuropulmonary involvement. Eight of 15 patients (53%) with abnormal and four of six patients (67%) with normal CT findings revealed mild restrictive lung function impairment. CONCLUSION: Patients with AS but a normal chest radiograph frequently have abnormalities on thin-section CT. As these abnormalities are usually subtle and their extent does not correlate with functional and clinical data, the overall routine impact of thin-section CT in the diagnosis of AS is limited. Turetschek, K , (2000) Clinical Radiology53, 632–636." } ], "source":[ { "dataInfo":null, "value":null } ], "subject":[ { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":null, "value":"Complication" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":null, "value":"Chest radiograph" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":{ "trust":"0.580897", "invisible":false, "inferred":false, "deletedbyinference":false, "inferenceprovenance":null, "provenanceaction":{ "classid":"sysimport:actionset", "schemeid":"dnet:provenanceActions", "schemename":"dnet:provenanceActions", "classname":"sysimport:actionset" } }, "value":"medicine.diagnostic_test" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":{ "trust":"0.580897", "invisible":false, "inferred":false, "deletedbyinference":false, "inferenceprovenance":null, "provenanceaction":{ "classid":"sysimport:actionset", "schemeid":"dnet:provenanceActions", "schemename":"dnet:provenanceActions", "classname":"sysimport:actionset" } }, "value":"medicine" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":null, "value":"In patient" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":null, "value":"Radiography" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":{ "trust":"0.4582326", "invisible":false, "inferred":false, "deletedbyinference":false, "inferenceprovenance":null, "provenanceaction":{ "classid":"sysimport:actionset", "schemeid":"dnet:provenanceActions", "schemename":"dnet:provenanceActions", "classname":"sysimport:actionset" } }, "value":"business.industry" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":{ "trust":"0.4582326", "invisible":false, "inferred":false, "deletedbyinference":false, "inferenceprovenance":null, "provenanceaction":{ "classid":"sysimport:actionset", "schemeid":"dnet:provenanceActions", "schemename":"dnet:provenanceActions", "classname":"sysimport:actionset" } }, "value":"business" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":null, "value":"Thin section ct" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":null, "value":"Respiratory disease" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":{ "trust":"0.49358836", "invisible":false, "inferred":false, "deletedbyinference":false, "inferenceprovenance":null, "provenanceaction":{ "classid":"sysimport:actionset", "schemeid":"dnet:provenanceActions", "schemename":"dnet:provenanceActions", "classname":"sysimport:actionset" } }, "value":"medicine.disease" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":{ "trust":"0.49358836", "invisible":false, "inferred":false, "deletedbyinference":false, "inferenceprovenance":null, "provenanceaction":{ "classid":"sysimport:actionset", "schemeid":"dnet:provenanceActions", "schemename":"dnet:provenanceActions", "classname":"sysimport:actionset" } }, "value":"medicine" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":null, "value":"Ankylosing spondylitis" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":{ "trust":"0.49937168", "invisible":false, "inferred":false, "deletedbyinference":false, "inferenceprovenance":null, "provenanceaction":{ "classid":"sysimport:actionset", "schemeid":"dnet:provenanceActions", "schemename":"dnet:provenanceActions", "classname":"sysimport:actionset" } }, "value":"medicine.disease" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":{ "trust":"0.49937168", "invisible":false, "inferred":false, "deletedbyinference":false, "inferenceprovenance":null, "provenanceaction":{ "classid":"sysimport:actionset", "schemeid":"dnet:provenanceActions", "schemename":"dnet:provenanceActions", "classname":"sysimport:actionset" } }, "value":"medicine" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":null, "value":"Radiology" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":{ "trust":"0.4573571", "invisible":false, "inferred":false, "deletedbyinference":false, "inferenceprovenance":null, "provenanceaction":{ "classid":"sysimport:actionset", "schemeid":"dnet:provenanceActions", "schemename":"dnet:provenanceActions", "classname":"sysimport:actionset" } }, "value":"medicine.medical_specialty" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":{ "trust":"0.4573571", "invisible":false, "inferred":false, "deletedbyinference":false, "inferenceprovenance":null, "provenanceaction":{ "classid":"sysimport:actionset", "schemeid":"dnet:provenanceActions", "schemename":"dnet:provenanceActions", "classname":"sysimport:actionset" } }, "value":"medicine" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":null, "value":"Medicine" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":{ "trust":"0.40295774", "invisible":false, "inferred":false, "deletedbyinference":false, "inferenceprovenance":null, "provenanceaction":{ "classid":"sysimport:actionset", "schemeid":"dnet:provenanceActions", "schemename":"dnet:provenanceActions", "classname":"sysimport:actionset" } }, "value":"business.industry" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":{ "trust":"0.40295774", "invisible":false, "inferred":false, "deletedbyinference":false, "inferenceprovenance":null, "provenanceaction":{ "classid":"sysimport:actionset", "schemeid":"dnet:provenanceActions", "schemename":"dnet:provenanceActions", "classname":"sysimport:actionset" } }, "value":"business" }, { "qualifier":{ "classid":"MAG", "schemeid":"dnet:subject_classification_typologies", "schemename":"dnet:subject_classification_typologies", "classname":"Microsoft Academic Graph classification" }, "dataInfo":null, "value":"Pulmonary function testing" } ], "language":null, "instance":[ { "processingchargecurrency":null, "refereed":null, "instancetype":null, "hostedby":null, "distributionlocation":null, "processingchargeamount":null, "license":null, "accessright":null, "dateofacceptance":null, "collectedfrom":{ "dataInfo":null, "value":"Microsoft Academic Graph", "key":"10|openaire____::5f532a3fc4f1ea403f37070f59a7a53a" }, "url":[ "https://www.ncbi.nlm.nih.gov/pubmed/10964736", "https://www.sciencedirect.com/science/article/pii/S0009926000904987", "https://academic.microsoft.com/#/detail/1990704599" ] } ], "context":null, "country":null, "originalId":[ "1990704599", "10.1053/crad.2000.0498" ], "pid":[ { "qualifier":{ "classid":"doi", "schemeid":"dnet:pid_types", "schemename":"dnet:pid_types", "classname":"doi" }, "dataInfo":null, "value":"10.1053/crad.2000.0498" } ], "dateofcollection":null, "dateoftransformation":null, "oaiprovenance":null, "extraInfo":null, "id":"50|doiboost____::994b7e47b9e225ab6d5e14841cb45a7f", "collectedfrom":[ { "dataInfo":null, "value":"Microsoft Academic Graph", "key":"10|openaire____::5f532a3fc4f1ea403f37070f59a7a53a" } ], "dataInfo":{ "trust":"0.9", "invisible":false, "inferred":false, "deletedbyinference":false, "inferenceprovenance":null, "provenanceaction":{ "classid":"sysimport:actionset", "schemeid":"dnet:provenanceActions", "schemename":"dnet:provenanceActions", "classname":"sysimport:actionset"} }, "lastupdatetimestamp":null } \ No newline at end of file From be5969a8c2e6b2edfaee0f2bf43d9f250b0f05c1 Mon Sep 17 00:00:00 2001 From: antleb Date: Tue, 22 Dec 2020 13:33:32 +0200 Subject: [PATCH 21/40] Changed typo in script names --- .../eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml index 7bd9ce1b6..ceaa47794 100644 --- a/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml +++ b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml @@ -287,7 +287,7 @@ ${nameNode} impala-shell.sh ${stats_db_shadow_name} - computeProductionStats.sql + step19.sql ${wf:appPath()}/scripts/step19.sql impala-shell.sh From d8b5f43a7e923544510a8f15d384ec8ed00015e9 Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Tue, 22 Dec 2020 14:59:03 +0100 Subject: [PATCH 22/40] code formatting --- .../eu/dnetlib/dhp/oa/merge/AuthorMerger.java | 5 +- .../dhp/oa/merge/AuthorMergerTest.java | 140 +++++++++--------- 2 files changed, 73 insertions(+), 72 deletions(-) diff --git a/dhp-common/src/main/java/eu/dnetlib/dhp/oa/merge/AuthorMerger.java b/dhp-common/src/main/java/eu/dnetlib/dhp/oa/merge/AuthorMerger.java index 5ad4598a6..b3d84c40f 100644 --- a/dhp-common/src/main/java/eu/dnetlib/dhp/oa/merge/AuthorMerger.java +++ b/dhp-common/src/main/java/eu/dnetlib/dhp/oa/merge/AuthorMerger.java @@ -73,7 +73,7 @@ public class AuthorMerger { if (base == null || enrich == null) return; - // (if an Author has more than 1 pid, it appears 2 times in the list) + // (if an Author has more than 1 pid, it appears 2 times in the list) final Map basePidAuthorMap = base .stream() .filter(a -> a.getPid() != null && a.getPid().size() > 0) @@ -84,7 +84,7 @@ public class AuthorMerger { .map(p -> new Tuple2<>(pidToComparableString(p), a))) .collect(Collectors.toMap(Tuple2::_1, Tuple2::_2, (x1, x2) -> x1)); - // (list of pid that are missing in the other list) + // (list of pid that are missing in the other list) final List> pidToEnrich = enrich .stream() .filter(a -> a.getPid() != null && a.getPid().size() > 0) @@ -96,7 +96,6 @@ public class AuthorMerger { .map(p -> new Tuple2<>(p, a))) .collect(Collectors.toList()); - pidToEnrich .forEach( a -> { diff --git a/dhp-common/src/test/java/eu/dnetlib/dhp/oa/merge/AuthorMergerTest.java b/dhp-common/src/test/java/eu/dnetlib/dhp/oa/merge/AuthorMergerTest.java index 1ff9753be..02e694770 100644 --- a/dhp-common/src/test/java/eu/dnetlib/dhp/oa/merge/AuthorMergerTest.java +++ b/dhp-common/src/test/java/eu/dnetlib/dhp/oa/merge/AuthorMergerTest.java @@ -1,14 +1,5 @@ -package eu.dnetlib.dhp.oa.merge; -import eu.dnetlib.dhp.schema.oaf.Author; -import eu.dnetlib.dhp.schema.oaf.Publication; -import eu.dnetlib.dhp.schema.oaf.StructuredProperty; -import eu.dnetlib.pace.util.MapDocumentUtil; -import org.codehaus.jackson.map.ObjectMapper; -import org.junit.jupiter.api.Assertions; -import org.junit.jupiter.api.BeforeEach; -import org.junit.jupiter.api.Test; -import scala.Tuple2; +package eu.dnetlib.dhp.oa.merge; import java.io.BufferedReader; import java.io.FileReader; @@ -18,80 +9,91 @@ import java.util.ArrayList; import java.util.List; import java.util.stream.Collectors; +import org.codehaus.jackson.map.ObjectMapper; +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.BeforeEach; +import org.junit.jupiter.api.Test; + +import eu.dnetlib.dhp.schema.oaf.Author; +import eu.dnetlib.dhp.schema.oaf.Publication; +import eu.dnetlib.dhp.schema.oaf.StructuredProperty; +import eu.dnetlib.pace.util.MapDocumentUtil; +import scala.Tuple2; + public class AuthorMergerTest { - String publicationsBasePath; + String publicationsBasePath; - List> authors; + List> authors; - @BeforeEach - public void setUp() throws Exception { + @BeforeEach + public void setUp() throws Exception { - publicationsBasePath = Paths - .get(AuthorMergerTest.class.getResource("/eu/dnetlib/dhp/oa/merge").toURI()) - .toFile() - .getAbsolutePath(); + publicationsBasePath = Paths + .get(AuthorMergerTest.class.getResource("/eu/dnetlib/dhp/oa/merge").toURI()) + .toFile() + .getAbsolutePath(); - authors = - readSample(publicationsBasePath + "/publications_with_authors.json", Publication.class) - .stream() - .map(p -> p._2().getAuthor()).collect(Collectors.toList()); + authors = readSample(publicationsBasePath + "/publications_with_authors.json", Publication.class) + .stream() + .map(p -> p._2().getAuthor()) + .collect(Collectors.toList()); - } + } - @Test - public void mergeTest() { //used in the dedup: threshold set to 0.95 + @Test + public void mergeTest() { // used in the dedup: threshold set to 0.95 - for (List authors1: authors){ - System.out.println("List " + (authors.indexOf(authors1)+1)); - for (Author author: authors1){ - System.out.println(authorToString(author)); - } - } + for (List authors1 : authors) { + System.out.println("List " + (authors.indexOf(authors1) + 1)); + for (Author author : authors1) { + System.out.println(authorToString(author)); + } + } - List merge = AuthorMerger.merge(authors); + List merge = AuthorMerger.merge(authors); - System.out.println("Merge "); - for (Author author: merge) { - System.out.println(authorToString(author)); - } + System.out.println("Merge "); + for (Author author : merge) { + System.out.println(authorToString(author)); + } - Assertions.assertEquals(7, merge.size()); + Assertions.assertEquals(7, merge.size()); - } + } - public List> readSample(String path, Class clazz) { - List> res = new ArrayList<>(); - BufferedReader reader; - try { - reader = new BufferedReader(new FileReader(path)); - String line = reader.readLine(); - while (line != null) { - res - .add( - new Tuple2<>( - MapDocumentUtil.getJPathString("$.id", line), - new ObjectMapper().readValue(line, clazz))); - // read next line - line = reader.readLine(); - } - reader.close(); - } catch (IOException e) { - e.printStackTrace(); - } + public List> readSample(String path, Class clazz) { + List> res = new ArrayList<>(); + BufferedReader reader; + try { + reader = new BufferedReader(new FileReader(path)); + String line = reader.readLine(); + while (line != null) { + res + .add( + new Tuple2<>( + MapDocumentUtil.getJPathString("$.id", line), + new ObjectMapper().readValue(line, clazz))); + // read next line + line = reader.readLine(); + } + reader.close(); + } catch (IOException e) { + e.printStackTrace(); + } - return res; - } + return res; + } - public String authorToString(Author a){ + public String authorToString(Author a) { - String print = "Fullname = "; - print += a.getFullname() + " pid = ["; - if (a.getPid() != null) - for (StructuredProperty sp : a.getPid()) { - print += sp.toComparableString() + " "; - } - print += "]"; - return print; - } + String print = "Fullname = "; + print += a.getFullname() + " pid = ["; + if (a.getPid() != null) + for (StructuredProperty sp : a.getPid()) { + print += sp.toComparableString() + " "; + } + print += "]"; + return print; + } } From 6848d0c3d7fa5230efd26b28c9e3d25e3465a45c Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Wed, 23 Dec 2020 12:21:58 +0100 Subject: [PATCH 23/40] trivial: avoid duplicated code --- .../eu/dnetlib/dhp/oa/merge/AuthorMerger.java | 16 +--------------- .../dnetlib/dhp/oa/merge/AuthorMergerTest.java | 4 ++-- 2 files changed, 3 insertions(+), 17 deletions(-) diff --git a/dhp-common/src/main/java/eu/dnetlib/dhp/oa/merge/AuthorMerger.java b/dhp-common/src/main/java/eu/dnetlib/dhp/oa/merge/AuthorMerger.java index b3d84c40f..0b602b774 100644 --- a/dhp-common/src/main/java/eu/dnetlib/dhp/oa/merge/AuthorMerger.java +++ b/dhp-common/src/main/java/eu/dnetlib/dhp/oa/merge/AuthorMerger.java @@ -52,21 +52,7 @@ public class AuthorMerger { } public static List mergeAuthor(final List a, final List b) { - int pa = countAuthorsPids(a); - int pb = countAuthorsPids(b); - List base, enrich; - int sa = authorsSize(a); - int sb = authorsSize(b); - - if (sa == sb) { - base = pa > pb ? a : b; - enrich = pa > pb ? b : a; - } else { - base = sa > sb ? a : b; - enrich = sa > sb ? b : a; - } - enrichPidFromList(base, enrich, THRESHOLD); - return base; + return mergeAuthor(a, b, THRESHOLD); } private static void enrichPidFromList(List base, List enrich, Double threshold) { diff --git a/dhp-common/src/test/java/eu/dnetlib/dhp/oa/merge/AuthorMergerTest.java b/dhp-common/src/test/java/eu/dnetlib/dhp/oa/merge/AuthorMergerTest.java index 02e694770..d7b3bc36f 100644 --- a/dhp-common/src/test/java/eu/dnetlib/dhp/oa/merge/AuthorMergerTest.java +++ b/dhp-common/src/test/java/eu/dnetlib/dhp/oa/merge/AuthorMergerTest.java @@ -22,9 +22,9 @@ import scala.Tuple2; public class AuthorMergerTest { - String publicationsBasePath; + private String publicationsBasePath; - List> authors; + private List> authors; @BeforeEach public void setUp() throws Exception { From 723b01f9e96a95e4d6c6fb77916962cef146e250 Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Wed, 23 Dec 2020 12:22:48 +0100 Subject: [PATCH 24/40] trivial: the less magic numbers and values around, the better --- .../dhp/oa/graph/clean/CleaningFunctions.java | 15 ++++++++++----- 1 file changed, 10 insertions(+), 5 deletions(-) diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleaningFunctions.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleaningFunctions.java index 798eae4dd..859fc074c 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleaningFunctions.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleaningFunctions.java @@ -16,7 +16,10 @@ import eu.dnetlib.dhp.schema.oaf.*; public class CleaningFunctions { public static final String DOI_URL_PREFIX_REGEX = "(^http(s?):\\/\\/)(((dx\\.)?doi\\.org)|(handle\\.test\\.datacite\\.org))\\/"; + public static final String ORCID_CLEANING_REGEX = ".*([0-9]{4}).*[-–—−=].*([0-9]{4}).*[-–—−=].*([0-9]{4}).*[-–—−=].*([0-9x]{4})"; + public static final int ORCID_LEN = 19; + public static final String CLEANING_REGEX = "(?:\\n|\\r|\\t)"; public static final Set PID_BLACKLIST = new HashSet<>(); @@ -86,7 +89,7 @@ public class CleaningFunctions { } else if (value instanceof Organization) { Organization o = (Organization) value; if (Objects.isNull(o.getCountry()) || StringUtils.isBlank(o.getCountry().getClassid())) { - o.setCountry(qualifier("UNKNOWN", "Unknown", ModelConstants.DNET_COUNTRY_TYPE)); + o.setCountry(qualifier(ModelConstants.UNKNOWN, "Unknown", ModelConstants.DNET_COUNTRY_TYPE)); } } else if (value instanceof Relation) { // nothing to clean here @@ -153,12 +156,14 @@ public class CleaningFunctions { if (Objects.isNull(r.getResourcetype()) || StringUtils.isBlank(r.getResourcetype().getClassid())) { r .setResourcetype( - qualifier("UNKNOWN", "Unknown", ModelConstants.DNET_DATA_CITE_RESOURCE)); + qualifier(ModelConstants.UNKNOWN, "Unknown", ModelConstants.DNET_DATA_CITE_RESOURCE)); } if (Objects.nonNull(r.getInstance())) { for (Instance i : r.getInstance()) { if (Objects.isNull(i.getAccessright()) || StringUtils.isBlank(i.getAccessright().getClassid())) { - i.setAccessright(qualifier("UNKNOWN", "not available", ModelConstants.DNET_ACCESS_MODES)); + i + .setAccessright( + qualifier(ModelConstants.UNKNOWN, "not available", ModelConstants.DNET_ACCESS_MODES)); } if (Objects.isNull(i.getHostedby()) || StringUtils.isBlank(i.getHostedby().getKey())) { i.setHostedby(ModelConstants.UNKNOWN_REPOSITORY); @@ -173,7 +178,7 @@ public class CleaningFunctions { if (Objects.isNull(bestaccessrights)) { r .setBestaccessright( - qualifier("UNKNOWN", "not available", ModelConstants.DNET_ACCESS_MODES)); + qualifier(ModelConstants.UNKNOWN, "not available", ModelConstants.DNET_ACCESS_MODES)); } else { r.setBestaccessright(bestaccessrights); } @@ -227,7 +232,7 @@ public class CleaningFunctions { .trim() .toLowerCase() .replaceAll(ORCID_CLEANING_REGEX, "$1-$2-$3-$4"); - if (orcid.length() == 19) { + if (orcid.length() == ORCID_LEN) { p.setValue(orcid); } else { p.setValue(""); From 60649ac7d25bb2ddeac0f94593e6ffd48e06336d Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Wed, 23 Dec 2020 12:26:04 +0100 Subject: [PATCH 25/40] swapped expected and actual in tests, updated expected number of authors --- .../test/java/eu/dnetlib/dhp/oa/dedup/EntityMergerTest.java | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/EntityMergerTest.java b/dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/EntityMergerTest.java index 30cfebe79..882483e22 100644 --- a/dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/EntityMergerTest.java +++ b/dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/EntityMergerTest.java @@ -100,8 +100,8 @@ public class EntityMergerTest implements Serializable { assertEquals(pub_merged.getDateofacceptance().getValue(), "2018-09-30"); // verify authors - assertEquals(pub_merged.getAuthor().size(), 9); - assertEquals(AuthorMerger.countAuthorsPids(pub_merged.getAuthor()), 4); + assertEquals(13, pub_merged.getAuthor().size()); + assertEquals(4, AuthorMerger.countAuthorsPids(pub_merged.getAuthor())); // verify title int count = 0; From 28460c2cd12c4d963a9b3493e8b8ec6578b67187 Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Wed, 23 Dec 2020 16:59:52 +0100 Subject: [PATCH 26/40] using com.fasterxml.jackson.databind.ObjectMapper instead of org.codehaus.jackson.map.ObjectMapper --- .../dnetlib/dhp/oa/merge/AuthorMergerTest.java | 3 ++- .../dhp/schema/common/ModelConstants.java | 2 ++ .../dnetlib/dhp/oa/dedup/EntityMergerTest.java | 3 ++- .../dedup/SparkCreateConnectedComponent.java | 3 +-- .../eu/dnetlib/dedup/SparkCreateSimRels.java | 3 ++- .../dnetlib/doiboost/DoiBoostMappingUtil.scala | 9 +-------- .../doiboost/SparkGenerateDoiBoost.scala | 3 ++- .../eu/dnetlib/doiboost/orcid/ORCIDToOAF.scala | 4 ++-- .../orcid/SparkDownloadOrcidAuthors.java | 16 ++++++---------- .../doiboost/orcid/MappingORCIDToOAFTest.scala | 2 +- .../dhp/oa/graph/clean/CleaningFunctions.java | 2 +- .../common/AbstractMigrationApplication.java | 3 ++- .../java/eu/dnetlib/dhp/export/DLIToOAF.scala | 6 +++--- .../export/SparkExportContentForOpenAire.scala | 17 ++--------------- .../dhp/provision/DropAndCreateESIndex.java | 3 ++- .../provision/SparkConvertDatasetToJson.scala | 2 +- 16 files changed, 32 insertions(+), 49 deletions(-) diff --git a/dhp-common/src/test/java/eu/dnetlib/dhp/oa/merge/AuthorMergerTest.java b/dhp-common/src/test/java/eu/dnetlib/dhp/oa/merge/AuthorMergerTest.java index d7b3bc36f..9c4e62214 100644 --- a/dhp-common/src/test/java/eu/dnetlib/dhp/oa/merge/AuthorMergerTest.java +++ b/dhp-common/src/test/java/eu/dnetlib/dhp/oa/merge/AuthorMergerTest.java @@ -9,11 +9,12 @@ import java.util.ArrayList; import java.util.List; import java.util.stream.Collectors; -import org.codehaus.jackson.map.ObjectMapper; import org.junit.jupiter.api.Assertions; import org.junit.jupiter.api.BeforeEach; import org.junit.jupiter.api.Test; +import com.fasterxml.jackson.databind.ObjectMapper; + import eu.dnetlib.dhp.schema.oaf.Author; import eu.dnetlib.dhp.schema.oaf.Publication; import eu.dnetlib.dhp.schema.oaf.StructuredProperty; diff --git a/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/common/ModelConstants.java b/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/common/ModelConstants.java index 1efa86586..bff92ecf9 100644 --- a/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/common/ModelConstants.java +++ b/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/common/ModelConstants.java @@ -105,6 +105,8 @@ public class ModelConstants { public static final KeyValue UNKNOWN_REPOSITORY = keyValue( "10|openaire____::55045bd2a65019fd8e6741a755395c8c", "Unknown Repository"); + public static final Qualifier UNKNOWN_COUNTRY = qualifier(UNKNOWN, "Unknown", DNET_COUNTRY_TYPE, DNET_COUNTRY_TYPE); + private static Qualifier qualifier( final String classid, final String classname, diff --git a/dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/EntityMergerTest.java b/dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/EntityMergerTest.java index 882483e22..c35bbf424 100644 --- a/dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/EntityMergerTest.java +++ b/dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/EntityMergerTest.java @@ -10,10 +10,11 @@ import java.io.Serializable; import java.nio.file.Paths; import java.util.*; -import org.codehaus.jackson.map.ObjectMapper; import org.junit.jupiter.api.BeforeEach; import org.junit.jupiter.api.Test; +import com.fasterxml.jackson.databind.ObjectMapper; + import eu.dnetlib.dhp.oa.merge.AuthorMerger; import eu.dnetlib.dhp.schema.oaf.*; import eu.dnetlib.pace.util.MapDocumentUtil; diff --git a/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/SparkCreateConnectedComponent.java b/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/SparkCreateConnectedComponent.java index 8646ac742..9bc90d51d 100644 --- a/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/SparkCreateConnectedComponent.java +++ b/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/SparkCreateConnectedComponent.java @@ -7,7 +7,6 @@ import java.util.List; import org.apache.commons.io.IOUtils; import org.apache.spark.api.java.JavaPairRDD; import org.apache.spark.api.java.JavaRDD; -import org.apache.spark.api.java.JavaSparkContext; import org.apache.spark.api.java.function.FlatMapFunction; import org.apache.spark.api.java.function.MapFunction; import org.apache.spark.api.java.function.PairFunction; @@ -16,8 +15,8 @@ import org.apache.spark.rdd.RDD; import org.apache.spark.sql.Dataset; import org.apache.spark.sql.Encoders; import org.apache.spark.sql.SparkSession; -import org.codehaus.jackson.map.ObjectMapper; +import com.fasterxml.jackson.databind.ObjectMapper; import com.google.common.hash.Hashing; import eu.dnetlib.dedup.graph.ConnectedComponent; diff --git a/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/SparkCreateSimRels.java b/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/SparkCreateSimRels.java index 572824e3d..7adf992cd 100644 --- a/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/SparkCreateSimRels.java +++ b/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/SparkCreateSimRels.java @@ -10,7 +10,8 @@ import org.apache.spark.api.java.JavaSparkContext; import org.apache.spark.api.java.function.MapFunction; import org.apache.spark.sql.Encoders; import org.apache.spark.sql.SparkSession; -import org.codehaus.jackson.map.ObjectMapper; + +import com.fasterxml.jackson.databind.ObjectMapper; import eu.dnetlib.dhp.application.ArgumentApplicationParser; import eu.dnetlib.dhp.schema.oaf.Oaf; 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 8d906fa15..683986de2 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 @@ -4,14 +4,13 @@ import eu.dnetlib.dhp.schema.action.AtomicAction import eu.dnetlib.dhp.schema.oaf.{DataInfo, Dataset, Field, Instance, KeyValue, Oaf, Organization, Publication, Qualifier, Relation, Result, StructuredProperty} import eu.dnetlib.dhp.utils.DHPUtils import org.apache.commons.lang3.StringUtils -import org.codehaus.jackson.map.ObjectMapper +import com.fasterxml.jackson.databind.ObjectMapper import org.json4s import org.json4s.DefaultFormats import org.json4s.jackson.JsonMethods.parse import org.slf4j.{Logger, LoggerFactory} import scala.collection.JavaConverters._ -import scala.io.Source case class HostedByItemType(id: String, officialname: String, issn: String, eissn: String, lissn: String, openAccess: Boolean) {} @@ -19,17 +18,11 @@ case class HostedByItemType(id: String, officialname: String, issn: String, eiss case class DoiBoostAffiliation(PaperId:Long, AffiliationId:Long, GridId:Option[String], OfficialPage:Option[String], DisplayName:Option[String]){} object DoiBoostMappingUtil { - def getUnknownCountry(): Qualifier = { - createQualifier("UNKNOWN","UNKNOWN","dnet:countries","dnet:countries") - } - - def generateMAGAffiliationId(affId: String): String = { s"20|microsoft___$SEPARATOR${DHPUtils.md5(affId)}" } - val logger: Logger = LoggerFactory.getLogger(getClass) //STATIC STRING diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala index 860254527..19a512ac6 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala +++ b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala @@ -2,6 +2,7 @@ package eu.dnetlib.doiboost import eu.dnetlib.dhp.application.ArgumentApplicationParser import eu.dnetlib.dhp.oa.merge.AuthorMerger +import eu.dnetlib.dhp.schema.common.ModelConstants import eu.dnetlib.dhp.schema.oaf.{Organization, Publication, Relation, Dataset => OafDataset} import eu.dnetlib.doiboost.mag.ConversionUtil import org.apache.commons.io.IOUtils @@ -132,7 +133,7 @@ object SparkGenerateDoiBoost { o.setLegalname(DoiBoostMappingUtil.asField(affiliation.DisplayName.get)) if (affiliation.OfficialPage.isDefined) o.setWebsiteurl(DoiBoostMappingUtil.asField(affiliation.OfficialPage.get)) - o.setCountry(DoiBoostMappingUtil.getUnknownCountry()) + o.setCountry(ModelConstants.UNKNOWN_COUNTRY) o } else diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/ORCIDToOAF.scala b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/ORCIDToOAF.scala index f7255e559..e9773dbbb 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/ORCIDToOAF.scala +++ b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/ORCIDToOAF.scala @@ -1,11 +1,11 @@ package eu.dnetlib.doiboost.orcid +import com.fasterxml.jackson.databind.ObjectMapper import eu.dnetlib.dhp.schema.oaf.{Author, DataInfo, Publication} import eu.dnetlib.dhp.schema.orcid.OrcidDOI import eu.dnetlib.doiboost.DoiBoostMappingUtil import eu.dnetlib.doiboost.DoiBoostMappingUtil.{ORCID, PID_TYPES, createSP, generateDataInfo, generateIdentifier} import org.apache.commons.lang.StringUtils -import org.codehaus.jackson.map.ObjectMapper import org.slf4j.{Logger, LoggerFactory} import scala.collection.JavaConverters._ @@ -18,7 +18,7 @@ case class ORCIDItem(oid:String,name:String,surname:String,creditName:String,err case class ORCIDElement(doi:String, authors:List[ORCIDItem]) {} object ORCIDToOAF { val logger: Logger = LoggerFactory.getLogger(ORCIDToOAF.getClass) - val mapper = new ObjectMapper + val mapper = new ObjectMapper() def isJsonValid(inputStr: String): Boolean = { import java.io.IOException diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/SparkDownloadOrcidAuthors.java b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/SparkDownloadOrcidAuthors.java index 598835a00..1422a0840 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/SparkDownloadOrcidAuthors.java +++ b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/SparkDownloadOrcidAuthors.java @@ -3,10 +3,8 @@ package eu.dnetlib.doiboost.orcid; import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession; -import java.io.IOException; import java.text.SimpleDateFormat; import java.util.Date; -import java.util.List; import java.util.Optional; import org.apache.commons.io.IOUtils; @@ -18,11 +16,9 @@ import org.apache.http.impl.client.CloseableHttpClient; import org.apache.http.impl.client.HttpClients; import org.apache.spark.SparkConf; import org.apache.spark.api.java.JavaPairRDD; -import org.apache.spark.api.java.JavaRDD; import org.apache.spark.api.java.JavaSparkContext; import org.apache.spark.api.java.function.Function; import org.apache.spark.util.LongAccumulator; -import org.mortbay.log.Log; import org.slf4j.Logger; import org.slf4j.LoggerFactory; @@ -36,7 +32,7 @@ public class SparkDownloadOrcidAuthors { static final String DATE_FORMAT = "yyyy-MM-dd HH:mm:ss"; static final String lastUpdate = "2020-09-29 00:00:00"; - public static void main(String[] args) throws IOException, Exception { + public static void main(String[] args) throws Exception { final ArgumentApplicationParser parser = new ArgumentApplicationParser( IOUtils @@ -51,12 +47,12 @@ public class SparkDownloadOrcidAuthors { .orElse(Boolean.TRUE); logger.info("isSparkSessionManaged: {}", isSparkSessionManaged); final String workingPath = parser.get("workingPath"); - logger.info("workingPath: ", workingPath); + logger.info("workingPath: {}", workingPath); final String outputPath = parser.get("outputPath"); - logger.info("outputPath: ", outputPath); + logger.info("outputPath: {}", outputPath); final String token = parser.get("token"); final String lambdaFileName = parser.get("lambdaFileName"); - logger.info("lambdaFileName: ", lambdaFileName); + logger.info("lambdaFileName: {}", lambdaFileName); SparkConf conf = new SparkConf(); runWithSparkSession( @@ -171,8 +167,8 @@ public class SparkDownloadOrcidAuthors { } private static boolean isModified(String orcidId, String modifiedDate) { - Date modifiedDateDt = null; - Date lastUpdateDt = null; + Date modifiedDateDt; + Date lastUpdateDt; try { if (modifiedDate.length() != 19) { modifiedDate = modifiedDate.substring(0, 19); diff --git a/dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/orcid/MappingORCIDToOAFTest.scala b/dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/orcid/MappingORCIDToOAFTest.scala index 0222b393d..a1b3d06b7 100644 --- a/dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/orcid/MappingORCIDToOAFTest.scala +++ b/dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/orcid/MappingORCIDToOAFTest.scala @@ -1,9 +1,9 @@ package eu.dnetlib.doiboost.orcid +import com.fasterxml.jackson.databind.ObjectMapper import eu.dnetlib.dhp.schema.oaf.Publication import eu.dnetlib.doiboost.orcid.SparkConvertORCIDToOAF.getClass import org.apache.spark.sql.{Encoder, Encoders, SparkSession} -import org.codehaus.jackson.map.ObjectMapper import org.junit.jupiter.api.Assertions._ import org.junit.jupiter.api.Test import org.slf4j.{Logger, LoggerFactory} diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleaningFunctions.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleaningFunctions.java index 859fc074c..885d761c5 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleaningFunctions.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleaningFunctions.java @@ -89,7 +89,7 @@ public class CleaningFunctions { } else if (value instanceof Organization) { Organization o = (Organization) value; if (Objects.isNull(o.getCountry()) || StringUtils.isBlank(o.getCountry().getClassid())) { - o.setCountry(qualifier(ModelConstants.UNKNOWN, "Unknown", ModelConstants.DNET_COUNTRY_TYPE)); + o.setCountry(ModelConstants.UNKNOWN_COUNTRY); } } else if (value instanceof Relation) { // nothing to clean here diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/common/AbstractMigrationApplication.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/common/AbstractMigrationApplication.java index f7579c0a0..a0ce4f5a6 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/common/AbstractMigrationApplication.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/common/AbstractMigrationApplication.java @@ -11,7 +11,8 @@ import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.SequenceFile; import org.apache.hadoop.io.Text; -import org.codehaus.jackson.map.ObjectMapper; + +import com.fasterxml.jackson.databind.ObjectMapper; import eu.dnetlib.dhp.schema.oaf.Oaf; diff --git a/dhp-workflows/dhp-graph-provision-scholexplorer/src/main/java/eu/dnetlib/dhp/export/DLIToOAF.scala b/dhp-workflows/dhp-graph-provision-scholexplorer/src/main/java/eu/dnetlib/dhp/export/DLIToOAF.scala index 705160a2b..8043236e0 100644 --- a/dhp-workflows/dhp-graph-provision-scholexplorer/src/main/java/eu/dnetlib/dhp/export/DLIToOAF.scala +++ b/dhp-workflows/dhp-graph-provision-scholexplorer/src/main/java/eu/dnetlib/dhp/export/DLIToOAF.scala @@ -1,15 +1,15 @@ package eu.dnetlib.dhp.export +import com.fasterxml.jackson.databind.ObjectMapper + import java.time.LocalDateTime import java.time.format.DateTimeFormatter - import eu.dnetlib.dhp.common.PacePerson import eu.dnetlib.dhp.schema.action.AtomicAction -import eu.dnetlib.dhp.schema.oaf.{Author, Dataset, ExternalReference, Field, Instance, KeyValue, Oaf, Publication, Qualifier, Relation, Result, StructuredProperty} +import eu.dnetlib.dhp.schema.oaf.{Author, Dataset, ExternalReference, Field, Instance, KeyValue, Oaf, Publication, Qualifier, Relation, Result, StructuredProperty} import eu.dnetlib.dhp.schema.scholexplorer.{DLIDataset, DLIPublication} import eu.dnetlib.dhp.utils.DHPUtils import org.apache.commons.lang3.StringUtils -import org.codehaus.jackson.map.ObjectMapper import eu.dnetlib.dhp.schema.scholexplorer.OafUtils._ import scala.collection.JavaConverters._ diff --git a/dhp-workflows/dhp-graph-provision-scholexplorer/src/main/java/eu/dnetlib/dhp/export/SparkExportContentForOpenAire.scala b/dhp-workflows/dhp-graph-provision-scholexplorer/src/main/java/eu/dnetlib/dhp/export/SparkExportContentForOpenAire.scala index f1e374f95..3f632af22 100644 --- a/dhp-workflows/dhp-graph-provision-scholexplorer/src/main/java/eu/dnetlib/dhp/export/SparkExportContentForOpenAire.scala +++ b/dhp-workflows/dhp-graph-provision-scholexplorer/src/main/java/eu/dnetlib/dhp/export/SparkExportContentForOpenAire.scala @@ -1,27 +1,21 @@ package eu.dnetlib.dhp.`export` import eu.dnetlib.dhp.application.ArgumentApplicationParser -import eu.dnetlib.dhp.schema.oaf.{Instance, Publication, Relation, Dataset => OafDataset} +import eu.dnetlib.dhp.schema.oaf.{Publication, Relation, Dataset => OafDataset} import eu.dnetlib.dhp.schema.scholexplorer.{DLIDataset, DLIPublication} import org.apache.commons.io.IOUtils import org.apache.hadoop.io.Text import org.apache.hadoop.io.compress.GzipCodec import org.apache.hadoop.mapred.SequenceFileOutputFormat -import org.apache.spark.rdd.RDD import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession} import org.apache.spark.sql.functions._ import org.apache.spark.sql.expressions.Window -import org.apache.spark.{SparkConf, SparkContext} -import org.codehaus.jackson.map.ObjectMapper +import org.apache.spark.SparkConf import scala.collection.mutable.ArrayBuffer -import scala.collection.JavaConverters._ object SparkExportContentForOpenAire { - - - def main(args: Array[String]): Unit = { val conf: SparkConf = new SparkConf() val parser = new ArgumentApplicationParser(IOUtils.toString(SparkExportContentForOpenAire.getClass.getResourceAsStream("input_export_content_parameters.json"))) @@ -178,11 +172,4 @@ object SparkExportContentForOpenAire { fRels.union(fpubs).union(fdats).rdd.map(s => (new Text(s._1), new Text(s._2))).saveAsHadoopFile(s"$workingPath/export/rawset", classOf[Text], classOf[Text], classOf[SequenceFileOutputFormat[Text,Text]], classOf[GzipCodec]) } - - - - - - - } diff --git a/dhp-workflows/dhp-graph-provision-scholexplorer/src/main/java/eu/dnetlib/dhp/provision/DropAndCreateESIndex.java b/dhp-workflows/dhp-graph-provision-scholexplorer/src/main/java/eu/dnetlib/dhp/provision/DropAndCreateESIndex.java index 1b5849f35..7598fd957 100644 --- a/dhp-workflows/dhp-graph-provision-scholexplorer/src/main/java/eu/dnetlib/dhp/provision/DropAndCreateESIndex.java +++ b/dhp-workflows/dhp-graph-provision-scholexplorer/src/main/java/eu/dnetlib/dhp/provision/DropAndCreateESIndex.java @@ -10,7 +10,8 @@ import org.apache.http.client.methods.HttpPut; import org.apache.http.entity.StringEntity; import org.apache.http.impl.client.CloseableHttpClient; import org.apache.http.impl.client.HttpClients; -import org.codehaus.jackson.map.ObjectMapper; + +import com.fasterxml.jackson.databind.ObjectMapper; import eu.dnetlib.dhp.application.ArgumentApplicationParser; diff --git a/dhp-workflows/dhp-graph-provision-scholexplorer/src/main/java/eu/dnetlib/dhp/provision/SparkConvertDatasetToJson.scala b/dhp-workflows/dhp-graph-provision-scholexplorer/src/main/java/eu/dnetlib/dhp/provision/SparkConvertDatasetToJson.scala index 81bdb2941..8133666a6 100644 --- a/dhp-workflows/dhp-graph-provision-scholexplorer/src/main/java/eu/dnetlib/dhp/provision/SparkConvertDatasetToJson.scala +++ b/dhp-workflows/dhp-graph-provision-scholexplorer/src/main/java/eu/dnetlib/dhp/provision/SparkConvertDatasetToJson.scala @@ -1,5 +1,6 @@ package eu.dnetlib.dhp.provision +import com.fasterxml.jackson.databind.ObjectMapper import eu.dnetlib.dhp.application.ArgumentApplicationParser import eu.dnetlib.dhp.provision.scholix.Scholix import eu.dnetlib.dhp.provision.scholix.summary.ScholixSummary @@ -7,7 +8,6 @@ import org.apache.commons.io.IOUtils import org.apache.hadoop.io.compress.GzipCodec import org.apache.spark.SparkConf import org.apache.spark.sql.{Encoder, Encoders, SparkSession} -import org.codehaus.jackson.map.ObjectMapper object SparkConvertDatasetToJson { From 71851589428e12d286ec2d05a0d3d40eb92625ad Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Tue, 29 Dec 2020 11:06:28 +0100 Subject: [PATCH 27/40] ignore missing properties --- .../dhp/oa/graph/clean/GroupEntitiesAndRelationsSparkJob.java | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/GroupEntitiesAndRelationsSparkJob.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/GroupEntitiesAndRelationsSparkJob.java index 9c80528e3..e2ff90d7b 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/GroupEntitiesAndRelationsSparkJob.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/GroupEntitiesAndRelationsSparkJob.java @@ -10,6 +10,7 @@ import java.util.Objects; import java.util.Optional; import java.util.stream.Collectors; +import com.fasterxml.jackson.databind.DeserializationFeature; import org.apache.commons.io.IOUtils; import org.apache.commons.lang3.StringUtils; import org.apache.spark.SparkConf; @@ -44,7 +45,8 @@ public class GroupEntitiesAndRelationsSparkJob { private final static String SOURCE_JPATH = "$.source"; - private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); + private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper() + .configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false); public static void main(String[] args) throws Exception { From b0dc92786f83c428498ab4c64102ca53d39fb54b Mon Sep 17 00:00:00 2001 From: Sandro La Bruzzo Date: Mon, 4 Jan 2021 17:01:35 +0100 Subject: [PATCH 28/40] defined a single oozie workflow for the generation of doiboost --- .../SparkGenerateDOIBoostActionSet.scala | 3 +- .../doiboost/generate_doiboost_as_params.json | 3 +- .../dhp/doiboost/oozie_app/config-default.xml | 42 +++ .../dhp/doiboost/oozie_app/workflow.xml | 326 ++++++++++++++++++ 4 files changed, 372 insertions(+), 2 deletions(-) create mode 100644 dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/config-default.xml create mode 100644 dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDOIBoostActionSet.scala b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDOIBoostActionSet.scala index 7a6cd3faa..da9da22b6 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDOIBoostActionSet.scala +++ b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDOIBoostActionSet.scala @@ -39,6 +39,7 @@ object SparkGenerateDOIBoostActionSet { val dbaffiliationRelationPath = parser.get("dbaffiliationRelationPath") val dbOrganizationPath = parser.get("dbOrganizationPath") val workingDirPath = parser.get("targetPath") + val sequenceFilePath = parser.get("sFilePath") spark.read.load(dbDatasetPath).as[OafDataset] .map(d =>DoiBoostMappingUtil.fixResult(d)) @@ -65,7 +66,7 @@ object SparkGenerateDOIBoostActionSet { val d: Dataset[(String, String)] =spark.read.load(s"$workingDirPath/actionSet").as[(String,String)] - d.rdd.map(s => (new Text(s._1), new Text(s._2))).saveAsHadoopFile(s"$workingDirPath/rawset", classOf[Text], classOf[Text], classOf[SequenceFileOutputFormat[Text,Text]], classOf[GzipCodec]) + d.rdd.repartition(6000).map(s => (new Text(s._1), new Text(s._2))).saveAsHadoopFile(s"$sequenceFilePath", classOf[Text], classOf[Text], classOf[SequenceFileOutputFormat[Text,Text]], classOf[GzipCodec]) diff --git a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/generate_doiboost_as_params.json b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/generate_doiboost_as_params.json index 6eb1ec6f1..0cf9955c9 100644 --- a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/generate_doiboost_as_params.json +++ b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/generate_doiboost_as_params.json @@ -5,5 +5,6 @@ {"paramName": "cr", "paramLongName":"crossRefRelation", "paramDescription": "the UnpayWall Publication Path", "paramRequired": true}, {"paramName": "da", "paramLongName":"dbaffiliationRelationPath", "paramDescription": "the MAG Publication Path", "paramRequired": true}, {"paramName": "do", "paramLongName":"dbOrganizationPath", "paramDescription": "the MAG Publication Path", "paramRequired": true}, - {"paramName": "w", "paramLongName":"targetPath", "paramDescription": "the Working Path", "paramRequired": true} + {"paramName": "w", "paramLongName":"targetPath", "paramDescription": "the Working Path", "paramRequired": true}, + {"paramName": "sp", "paramLongName":"sFilePath", "paramDescription": "the Sequence file Path", "paramRequired": true}, ] diff --git a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/config-default.xml b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/config-default.xml new file mode 100644 index 000000000..508202e30 --- /dev/null +++ b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/config-default.xml @@ -0,0 +1,42 @@ + + + jobTracker + yarnRM + + + nameNode + hdfs://nameservice1 + + + oozie.use.system.libpath + true + + + oozie.action.sharelib.for.spark + spark2 + + + oozie.launcher.mapreduce.user.classpath.first + true + + + hive_metastore_uris + thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083 + + + spark2YarnHistoryServerAddress + http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089 + + + spark2EventLogDir + /user/spark/spark2ApplicationHistory + + + spark2ExtraListeners + "com.cloudera.spark.lineage.NavigatorAppListener" + + + spark2SqlQueryExecutionListeners + "com.cloudera.spark.lineage.NavigatorQueryListener" + + \ No newline at end of file diff --git a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml new file mode 100644 index 000000000..d77972512 --- /dev/null +++ b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml @@ -0,0 +1,326 @@ + + + + sparkDriverMemory + memory for driver process + + + sparkExecutorMemory + memory for individual executor + + + sparkExecutorIntersectionMemory + memory for individual executor + + + + sparkExecutorCores + number of cores used by single executor + + + + + + workingPath + the working Path + + + + hostedByMapPath + the hostedByMap Path + + + outputPath + the Path of the sequence file action set + + + + + + + inputPathCrossref + the Crossref input path + + + crossrefTimestamp + Timestamp for the Crossref incremental Harvesting + + + + + inputPathMAG + the MAG working path + + + + + + inputPathUnpayWall + the UnpayWall working path + + + + + inputPathOrcid + the ORCID working path + + + + + + + + + + + + ${wf:conf('resumeFrom') eq 'ConvertCrossrefToOAF'} + ${wf:conf('resumeFrom') eq 'ResetMagWorkingPath'} + ${wf:conf('resumeFrom') eq 'PreprocessMag'} + ${wf:conf('resumeFrom') eq 'PreprocessUW'} + ${wf:conf('resumeFrom') eq 'PreprocessORCID'} + ${wf:conf('resumeFrom') eq 'CreateDOIBoost'} + ${wf:conf('resumeFrom') eq 'GenerateActionSet'} + + + + + + + + Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}] + + + + + ${jobTracker} + ${nameNode} + eu.dnetlib.doiboost.crossref.CrossrefImporter + -t${inputPathCrossref}/index_update + -n${nameNode} + -ts${timestamp} + + + + + + + + + + + yarn-cluster + cluster + GenerateCrossrefDataset + eu.dnetlib.doiboost.crossref.CrossrefDataset + dhp-doiboost-${projectVersion}.jar + + --executor-memory=${sparkExecutorMemory} + --executor-cores=${sparkExecutorCores} + --driver-memory=${sparkDriverMemory} + --conf spark.sql.shuffle.partitions=3840 + ${sparkExtraOPT} + + --workingPath${inputPathCrossref} + --masteryarn-cluster + + + + + + + + + + + + + + + + + + yarn-cluster + cluster + ConvertCrossrefToOAF + eu.dnetlib.doiboost.crossref.SparkMapDumpIntoOAF + dhp-doiboost-${projectVersion}.jar + + --executor-memory=${sparkExecutorMemory} + --executor-cores=${sparkExecutorCores} + --driver-memory=${sparkDriverMemory} + --conf spark.sql.shuffle.partitions=3840 + ${sparkExtraOPT} + + --sourcePath${inputPathCrossref}/crossref_ds + --targetPath${workingPath} + --masteryarn-cluster + + + + + + + + + + + + + + + + + + + + + yarn-cluster + cluster + Convert Mag to Dataset + eu.dnetlib.doiboost.mag.SparkImportMagIntoDataset + dhp-doiboost-${projectVersion}.jar + + --executor-memory=${sparkExecutorMemory} + --executor-cores=${sparkExecutorCores} + --driver-memory=${sparkDriverMemory} + ${sparkExtraOPT} + + --sourcePath${inputPathMAG}/input + --targetPath${inputPathMAG}/dataset + --masteryarn-cluster + + + + + + + + + + yarn-cluster + cluster + Convert Mag to OAF Dataset + eu.dnetlib.doiboost.mag.SparkPreProcessMAG + dhp-doiboost-${projectVersion}.jar + + --executor-memory=${sparkExecutorMemory} + --executor-cores=${sparkExecutorCores} + --driver-memory=${sparkDriverMemory} + --conf spark.sql.shuffle.partitions=3840 + ${sparkExtraOPT} + + --sourcePath${inputPathMAG}/dataset + --workingPath${inputPathMAG}/process + --targetPath${workingPath} + --masteryarn-cluster + + + + + + + + + + yarn-cluster + cluster + Convert UnpayWall to Dataset + eu.dnetlib.doiboost.uw.SparkMapUnpayWallToOAF + dhp-doiboost-${projectVersion}.jar + + --executor-memory=${sparkExecutorMemory} + --executor-cores=${sparkExecutorCores} + --driver-memory=${sparkDriverMemory} + --conf spark.sql.shuffle.partitions=3840 + ${sparkExtraOPT} + + --sourcePath${inputPathUnpayWall}/uw_extracted + --targetPath${workingPath} + --masteryarn-cluster + + + + + + + + + + + yarn-cluster + cluster + Convert ORCID to Dataset + eu.dnetlib.doiboost.orcid.SparkConvertORCIDToOAF + dhp-doiboost-${projectVersion}.jar + + --executor-memory=${sparkExecutorMemory} + --executor-cores=${sparkExecutorCores} + --driver-memory=${sparkDriverMemory} + --conf spark.sql.shuffle.partitions=3840 + ${sparkExtraOPT} + + --sourcePath${inputPathOrcid} + --targetPath${workingPath} + --masteryarn-cluster + + + + + + + + + yarn-cluster + cluster + Create DOIBoost Infospace + eu.dnetlib.doiboost.SparkGenerateDoiBoost + dhp-doiboost-${projectVersion}.jar + + --executor-memory=${sparkExecutorMemory} + --executor-cores=${sparkExecutorCores} + --driver-memory=${sparkDriverMemory} + --conf spark.sql.shuffle.partitions=3840 + ${sparkExtraOPT} + + --hostedByMapPath${hostedByMapPath} + --affiliationPath${inputPathMAG}/process/Affiliations + --paperAffiliationPath${inputPathMAG}/process/PaperAuthorAffiliations + --workingDirPath${workingPath} + --masteryarn-cluster + + + + + + + + + yarn-cluster + cluster + Generate DOIBoost ActionSet + eu.dnetlib.doiboost.SparkGenerateDOIBoostActionSet + dhp-doiboost-${projectVersion}.jar + + --executor-memory=${sparkExecutorIntersectionMemory} + --executor-cores=${sparkExecutorCores} + --driver-memory=${sparkDriverMemory} + --conf spark.sql.shuffle.partitions=3840 + ${sparkExtraOPT} + + --dbPublicationPath${workingPath}/doiBoostPublicationFiltered + --dbDatasetPath${workingPath}/crossrefDataset + --crossRefRelation${workingPath}/crossrefRelation + --dbaffiliationRelationPath${workingPath}/doiBoostPublicationAffiliation + -do${workingPath}/doiBoostOrganization + --targetPath${workingPath}/actionDataSet + --sFilePath${outputPath} + --masteryarn-cluster + + + + + + + \ No newline at end of file From 8765020b85acf0f88a252197de04de4dbb9735fc Mon Sep 17 00:00:00 2001 From: Sandro La Bruzzo Date: Mon, 4 Jan 2021 17:37:08 +0100 Subject: [PATCH 29/40] minor fix --- .../doiboost/SparkGenerateDoiBoost.scala | 2 +- ...ProcessMAG.scala => SparkProcessMAG.scala} | 2 +- .../doiboost/generate_doiboost_params.json | 2 +- .../dhp/doiboost/oozie_app/workflow.xml | 20 ++++++++----------- 4 files changed, 11 insertions(+), 15 deletions(-) rename dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/{SparkPreProcessMAG.scala => SparkProcessMAG.scala} (99%) diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala index 19a512ac6..11f9828db 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala +++ b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala @@ -31,7 +31,7 @@ object SparkGenerateDoiBoost { import spark.implicits._ val hostedByMapPath = parser.get("hostedByMapPath") - val workingDirPath = parser.get("workingDirPath") + val workingDirPath = parser.get("workingPath") implicit val mapEncoderPub: Encoder[Publication] = Encoders.kryo[Publication] diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/SparkPreProcessMAG.scala b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/SparkProcessMAG.scala similarity index 99% rename from dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/SparkPreProcessMAG.scala rename to dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/SparkProcessMAG.scala index 02dc4979a..780e65c1e 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/SparkPreProcessMAG.scala +++ b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/SparkProcessMAG.scala @@ -11,7 +11,7 @@ import org.slf4j.{Logger, LoggerFactory} import scala.collection.JavaConverters._ -object SparkPreProcessMAG { +object SparkProcessMAG { def main(args: Array[String]): Unit = { val logger: Logger = LoggerFactory.getLogger(getClass) diff --git a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/generate_doiboost_params.json b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/generate_doiboost_params.json index ea08f47d4..1ff63dd0e 100644 --- a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/generate_doiboost_params.json +++ b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/generate_doiboost_params.json @@ -3,5 +3,5 @@ {"paramName": "hb", "paramLongName":"hostedByMapPath", "paramDescription": "the hosted By Map Path", "paramRequired": true}, {"paramName": "ap", "paramLongName":"affiliationPath", "paramDescription": "the Affliation Path", "paramRequired": true}, {"paramName": "pa", "paramLongName":"paperAffiliationPath", "paramDescription": "the paperAffiliation Path", "paramRequired": true}, - {"paramName": "w", "paramLongName":"workingDirPath", "paramDescription": "the Working Path", "paramRequired": true} + {"paramName": "w", "paramLongName":"workingPath", "paramDescription": "the Working Path", "paramRequired": true} ] diff --git a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml index d77972512..c116d07b1 100644 --- a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml +++ b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml @@ -166,9 +166,9 @@ - - - + + + @@ -191,18 +191,16 @@ --targetPath${inputPathMAG}/dataset --masteryarn-cluster - + - - - + yarn-cluster cluster Convert Mag to OAF Dataset - eu.dnetlib.doiboost.mag.SparkPreProcessMAG + eu.dnetlib.doiboost.mag.SparkProcessMAG dhp-doiboost-${projectVersion}.jar --executor-memory=${sparkExecutorMemory} @@ -244,8 +242,6 @@ - - @@ -269,7 +265,7 @@ - + yarn-cluster @@ -287,7 +283,7 @@ --hostedByMapPath${hostedByMapPath} --affiliationPath${inputPathMAG}/process/Affiliations --paperAffiliationPath${inputPathMAG}/process/PaperAuthorAffiliations - --workingDirPath${workingPath} + --workingPath${workingPath} --masteryarn-cluster From e79445a8b44111404e3796a03181442726a28297 Mon Sep 17 00:00:00 2001 From: Sandro La Bruzzo Date: Mon, 4 Jan 2021 17:39:25 +0100 Subject: [PATCH 30/40] minor fix for claudio polemica --- .../resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml index c116d07b1..bc859d0e0 100644 --- a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml +++ b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml @@ -309,7 +309,7 @@ --dbDatasetPath${workingPath}/crossrefDataset --crossRefRelation${workingPath}/crossrefRelation --dbaffiliationRelationPath${workingPath}/doiBoostPublicationAffiliation - -do${workingPath}/doiBoostOrganization + --dbOrganizationPath${workingPath}/doiBoostOrganization --targetPath${workingPath}/actionDataSet --sFilePath${outputPath} --masteryarn-cluster From 7834a357683cf3a340794e03945825dd780f0c19 Mon Sep 17 00:00:00 2001 From: Sandro La Bruzzo Date: Mon, 4 Jan 2021 17:54:57 +0100 Subject: [PATCH 31/40] avoid to save intermediate dataset before generation of Sequence file --- .../SparkGenerateDOIBoostActionSet.scala | 26 +++++++++++-------- 1 file changed, 15 insertions(+), 11 deletions(-) diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDOIBoostActionSet.scala b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDOIBoostActionSet.scala index da9da22b6..78477ae4d 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDOIBoostActionSet.scala +++ b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDOIBoostActionSet.scala @@ -41,30 +41,34 @@ object SparkGenerateDOIBoostActionSet { val workingDirPath = parser.get("targetPath") val sequenceFilePath = parser.get("sFilePath") - spark.read.load(dbDatasetPath).as[OafDataset] + val asDataset = spark.read.load(dbDatasetPath).as[OafDataset] .map(d =>DoiBoostMappingUtil.fixResult(d)) .map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING)) - .write.mode(SaveMode.Overwrite).save(s"$workingDirPath/actionSet") +// .write.mode(SaveMode.Overwrite).save(s"$workingDirPath/actionSet") - spark.read.load(dbPublicationPath).as[Publication] + val asPublication =spark.read.load(dbPublicationPath).as[Publication] .map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING)) - .write.mode(SaveMode.Append).save(s"$workingDirPath/actionSet") +// .write.mode(SaveMode.Append).save(s"$workingDirPath/actionSet") - spark.read.load(dbOrganizationPath).as[Organization] + val asOrganization = spark.read.load(dbOrganizationPath).as[Organization] .map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING)) - .write.mode(SaveMode.Append).save(s"$workingDirPath/actionSet") +// .write.mode(SaveMode.Append).save(s"$workingDirPath/actionSet") - spark.read.load(crossRefRelation).as[Relation] + val asCRelation = spark.read.load(crossRefRelation).as[Relation] .map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING)) - .write.mode(SaveMode.Append).save(s"$workingDirPath/actionSet") +// .write.mode(SaveMode.Append).save(s"$workingDirPath/actionSet") - spark.read.load(dbaffiliationRelationPath).as[Relation] + val asRelAffiliation = spark.read.load(dbaffiliationRelationPath).as[Relation] .map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING)) - .write.mode(SaveMode.Append).save(s"$workingDirPath/actionSet") +// .write.mode(SaveMode.Append).save(s"$workingDirPath/actionSet") - val d: Dataset[(String, String)] =spark.read.load(s"$workingDirPath/actionSet").as[(String,String)] + + + val d: Dataset[(String, String)] = asDataset.union(asPublication).union(asOrganization).union(asCRelation).union(asRelAffiliation) + +// spark.read.load(s"$workingDirPath/actionSet").as[(String,String)] d.rdd.repartition(6000).map(s => (new Text(s._1), new Text(s._2))).saveAsHadoopFile(s"$sequenceFilePath", classOf[Text], classOf[Text], classOf[SequenceFileOutputFormat[Text,Text]], classOf[GzipCodec]) From 26e9d55c13e7eebc3be2e997b8b7a3fea180d1cf Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Tue, 5 Jan 2021 09:59:26 +0100 Subject: [PATCH 32/40] code formatting --- .../dhp/oa/graph/clean/GroupEntitiesAndRelationsSparkJob.java | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/GroupEntitiesAndRelationsSparkJob.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/GroupEntitiesAndRelationsSparkJob.java index e2ff90d7b..3186f828c 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/GroupEntitiesAndRelationsSparkJob.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/GroupEntitiesAndRelationsSparkJob.java @@ -10,7 +10,6 @@ import java.util.Objects; import java.util.Optional; import java.util.stream.Collectors; -import com.fasterxml.jackson.databind.DeserializationFeature; import org.apache.commons.io.IOUtils; import org.apache.commons.lang3.StringUtils; import org.apache.spark.SparkConf; @@ -22,6 +21,7 @@ import org.apache.spark.sql.expressions.Aggregator; import org.slf4j.Logger; import org.slf4j.LoggerFactory; +import com.fasterxml.jackson.databind.DeserializationFeature; import com.fasterxml.jackson.databind.ObjectMapper; import com.jayway.jsonpath.Configuration; import com.jayway.jsonpath.DocumentContext; @@ -46,7 +46,7 @@ public class GroupEntitiesAndRelationsSparkJob { private final static String SOURCE_JPATH = "$.source"; private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper() - .configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false); + .configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false); public static void main(String[] args) throws Exception { From 8879704ba0e243bea120673c0d14ce76bb59afd0 Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Tue, 5 Jan 2021 10:00:13 +0100 Subject: [PATCH 33/40] [DOIBoost] configurable ES server url and index name in crossref importer --- .../doiboost/crossref/CrossrefImporter.java | 46 ++++++++------ .../dnetlib/doiboost/crossref/ESClient.java | 63 ++++++++----------- .../dnetlib/dhp/doiboost/import_from_es.json | 8 ++- .../dhp/doiboost/oozie_app/workflow.xml | 35 +++++++---- 4 files changed, 81 insertions(+), 71 deletions(-) diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/CrossrefImporter.java b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/CrossrefImporter.java index f69a05da1..cda4983b7 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/CrossrefImporter.java +++ b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/CrossrefImporter.java @@ -2,18 +2,16 @@ package eu.dnetlib.doiboost.crossref; import java.io.ByteArrayOutputStream; +import java.util.Optional; import java.util.zip.Inflater; import org.apache.commons.codec.binary.Base64; import org.apache.commons.io.IOUtils; -import org.apache.commons.lang3.StringUtils; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.SequenceFile; import org.apache.hadoop.io.Text; -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; import eu.dnetlib.dhp.application.ArgumentApplicationParser; @@ -30,34 +28,45 @@ public class CrossrefImporter { parser.parseArgument(args); - final String hdfsuri = parser.get("namenode"); - System.out.println("HDFS URI" + hdfsuri); - Path hdfswritepath = new Path(parser.get("targetPath")); - System.out.println("TargetPath: " + hdfsuri); + final String namenode = parser.get("namenode"); + System.out.println("namenode: " + namenode); - final Long timestamp = StringUtils.isNotBlank(parser.get("timestamp")) - ? Long.parseLong(parser.get("timestamp")) - : -1; + Path targetPath = new Path(parser.get("targetPath")); + System.out.println("targetPath: " + targetPath); - if (timestamp > 0) - System.out.println("Timestamp added " + timestamp); + final Long timestamp = Optional + .ofNullable(parser.get("timestamp")) + .map(s -> { + try { + return Long.parseLong(s); + } catch (NumberFormatException e) { + return -1L; + } + }) + .orElse(-1L); + System.out.println("timestamp: " + timestamp); + + final String esServer = parser.get("esServer"); + System.out.println("esServer: " + esServer); + + final String esIndex = parser.get("esIndex"); + System.out.println("esIndex: " + esIndex); // ====== Init HDFS File System Object Configuration conf = new Configuration(); // Set FileSystem URI - conf.set("fs.defaultFS", hdfsuri); + conf.set("fs.defaultFS", namenode); // Because of Maven conf.set("fs.hdfs.impl", org.apache.hadoop.hdfs.DistributedFileSystem.class.getName()); conf.set("fs.file.impl", org.apache.hadoop.fs.LocalFileSystem.class.getName()); - ESClient client = timestamp > 0 - ? new ESClient("ip-90-147-167-25.ct1.garrservices.it", "crossref", timestamp) - : new ESClient("ip-90-147-167-25.ct1.garrservices.it", "crossref"); + // "ip-90-147-167-25.ct1.garrservices.it", "crossref" + final ESClient client = new ESClient(esServer, esIndex, timestamp); try (SequenceFile.Writer writer = SequenceFile .createWriter( conf, - SequenceFile.Writer.file(hdfswritepath), + SequenceFile.Writer.file(targetPath), SequenceFile.Writer.keyClass(IntWritable.class), SequenceFile.Writer.valueClass(Text.class))) { @@ -74,8 +83,7 @@ public class CrossrefImporter { end = System.currentTimeMillis(); final float time = (end - start) / 1000.0F; System.out - .println( - String.format("Imported %d records last 100000 imported in %f seconds", i, time)); + .println(String.format("Imported %s records last 100000 imported in %s seconds", i, time)); start = System.currentTimeMillis(); } } diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/ESClient.java b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/ESClient.java index e31ccf399..dcebbbcac 100644 --- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/ESClient.java +++ b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/ESClient.java @@ -1,11 +1,11 @@ package eu.dnetlib.doiboost.crossref; -import java.io.IOException; import java.util.Iterator; import java.util.List; import org.apache.commons.io.IOUtils; +import org.apache.http.HttpHeaders; import org.apache.http.client.methods.CloseableHttpResponse; import org.apache.http.client.methods.HttpPost; import org.apache.http.entity.StringEntity; @@ -17,13 +17,17 @@ import org.slf4j.LoggerFactory; import com.jayway.jsonpath.JsonPath; public class ESClient implements Iterator { - private static final Logger logger = LoggerFactory.getLogger(ESClient.class); - static final String blobPath = "$.hits[*].hits[*]._source.blob"; - static final String scrollIdPath = "$._scroll_id"; - static final String JSON_NO_TS = "{\"size\":1000}"; - static final String JSON_WITH_TS = "{\"size\":1000, \"query\":{\"range\":{\"timestamp\":{\"gte\":%d}}}}"; - static final String JSON_SCROLL = "{\"scroll_id\":\"%s\",\"scroll\" : \"1m\"}"; + private static final String BLOB_PATH = "$.hits.hits[*]._source.blob"; + private static final String SCROLL_ID_PATH = "$._scroll_id"; + private static final String JSON_NO_TS = "{\"size\":1000}"; + private static final String JSON_WITH_TS = "{\"size\":1000, \"query\":{\"range\":{\"timestamp\":{\"gte\":%d}}}}"; + private static final String JSON_SCROLL = "{\"scroll_id\":\"%s\",\"scroll\" : \"1m\"}"; + + public static final String APPLICATION_JSON = "application/json"; + + public static final String ES_SEARCH_URL = "http://%s:9200/%s/_search?scroll=1m"; + public static final String ES_SCROLL_URL = "http://%s:9200/_search/scroll"; private final String scrollId; @@ -31,47 +35,30 @@ public class ESClient implements Iterator { private final String esHost; - public ESClient(final String esHost, final String esIndex) throws IOException { - + public ESClient(final String esHost, final String esIndex, final long timestamp) { this.esHost = esHost; - final String body = getResponse( - String.format("http://%s:9200/%s/_search?scroll=1m", esHost, esIndex), JSON_NO_TS); - scrollId = getJPathString(scrollIdPath, body); - buffer = getBlobs(body); - } - public ESClient(final String esHost, final String esIndex, final long timestamp) - throws IOException { - this.esHost = esHost; - final String body = getResponse( - String.format("http://%s:9200/%s/_search?scroll=1m", esHost, esIndex), - String.format(JSON_WITH_TS, timestamp)); - scrollId = getJPathString(scrollIdPath, body); + final String body = timestamp > 0 + ? getResponse(String.format(ES_SEARCH_URL, esHost, esIndex), String.format(JSON_WITH_TS, timestamp)) + : getResponse(String.format(ES_SEARCH_URL, esHost, esIndex), JSON_NO_TS); + scrollId = getJPathString(SCROLL_ID_PATH, body); buffer = getBlobs(body); } private String getResponse(final String url, final String json) { - CloseableHttpClient client = HttpClients.createDefault(); - try { - + try (CloseableHttpClient client = HttpClients.createDefault()) { HttpPost httpPost = new HttpPost(url); if (json != null) { StringEntity entity = new StringEntity(json); httpPost.setEntity(entity); - httpPost.setHeader("Accept", "application/json"); - httpPost.setHeader("Content-type", "application/json"); + httpPost.setHeader(HttpHeaders.ACCEPT, APPLICATION_JSON); + httpPost.setHeader(HttpHeaders.CONTENT_TYPE, APPLICATION_JSON); + } + try (CloseableHttpResponse response = client.execute(httpPost)) { + return IOUtils.toString(response.getEntity().getContent()); } - CloseableHttpResponse response = client.execute(httpPost); - - return IOUtils.toString(response.getEntity().getContent()); } catch (Throwable e) { throw new RuntimeException("Error on executing request ", e); - } finally { - try { - client.close(); - } catch (IOException e) { - throw new RuntimeException("Unable to close client ", e); - } } } @@ -87,7 +74,7 @@ public class ESClient implements Iterator { } private List getBlobs(final String body) { - final List res = JsonPath.read(body, "$.hits.hits[*]._source.blob"); + final List res = JsonPath.read(body, BLOB_PATH); return res; } @@ -102,11 +89,11 @@ public class ESClient implements Iterator { if (buffer.isEmpty()) { final String json_param = String.format(JSON_SCROLL, scrollId); - final String body = getResponse(String.format("http://%s:9200/_search/scroll", esHost), json_param); + final String body = getResponse(String.format(ES_SCROLL_URL, esHost), json_param); try { buffer = getBlobs(body); } catch (Throwable e) { - logger.error("Error on get next page: body:" + body); + System.out.println("Error on get next page: body:" + body); } } return nextItem; diff --git a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/import_from_es.json b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/import_from_es.json index 87a138d52..0920d516a 100644 --- a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/import_from_es.json +++ b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/import_from_es.json @@ -1,5 +1,7 @@ [ - {"paramName":"t", "paramLongName":"targetPath", "paramDescription": "the path of the sequencial file to write", "paramRequired": true}, - {"paramName":"n", "paramLongName":"namenode", "paramDescription": "the hive metastore uris", "paramRequired": true}, - {"paramName":"ts", "paramLongName":"timestamp", "paramDescription": "timestamp", "paramRequired": false} + {"paramName":"t", "paramLongName":"targetPath", "paramDescription": "the path of the sequencial file to write", "paramRequired": true}, + {"paramName":"n", "paramLongName":"namenode", "paramDescription": "the hive metastore uris", "paramRequired": true}, + {"paramName":"ts", "paramLongName":"timestamp", "paramDescription": "timestamp", "paramRequired": false}, + {"paramName":"ess", "paramLongName":"esServer", "paramDescription": "elasticsearch server url", "paramRequired": true}, + {"paramName":"esi", "paramLongName":"esIndex", "paramDescription": "elasticsearch index name", "paramRequired": true} ] \ No newline at end of file diff --git a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml index bc859d0e0..9464c1a61 100644 --- a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml +++ b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml @@ -36,7 +36,6 @@ - inputPathCrossref the Crossref input path @@ -45,6 +44,14 @@ crossrefTimestamp Timestamp for the Crossref incremental Harvesting + + esServer + elasticsearch server url for the Crossref Harvesting + + + esIndex + elasticsearch index name for the Crossref Harvesting + @@ -65,11 +72,19 @@ the ORCID working path - - - + + ${jobTracker} + ${nameNode} + + + oozie.action.sharelib.for.spark + ${oozieActionShareLibForSpark2} + + + + @@ -85,20 +100,18 @@ - - Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}] - ${jobTracker} - ${nameNode} eu.dnetlib.doiboost.crossref.CrossrefImporter - -t${inputPathCrossref}/index_update - -n${nameNode} - -ts${timestamp} + --targetPath${inputPathCrossref}/index_update + --namenode${nameNode} + --esServer${esServer} + --esIndex${esIndex} + --timestamp${crossrefTimestamp} From 7c722f3fdc960c95c972451621031478ff3c949c Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Tue, 5 Jan 2021 10:25:54 +0100 Subject: [PATCH 34/40] [DOIBoost] fixed typo --- .../eu/dnetlib/dhp/doiboost/generate_doiboost_as_params.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/generate_doiboost_as_params.json b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/generate_doiboost_as_params.json index 0cf9955c9..93d24a891 100644 --- a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/generate_doiboost_as_params.json +++ b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/generate_doiboost_as_params.json @@ -6,5 +6,5 @@ {"paramName": "da", "paramLongName":"dbaffiliationRelationPath", "paramDescription": "the MAG Publication Path", "paramRequired": true}, {"paramName": "do", "paramLongName":"dbOrganizationPath", "paramDescription": "the MAG Publication Path", "paramRequired": true}, {"paramName": "w", "paramLongName":"targetPath", "paramDescription": "the Working Path", "paramRequired": true}, - {"paramName": "sp", "paramLongName":"sFilePath", "paramDescription": "the Sequence file Path", "paramRequired": true}, + {"paramName": "sp", "paramLongName":"sFilePath", "paramDescription": "the Sequence file Path", "paramRequired": true} ] From ab2fe9266ab2fb99da3c2c71f4683927e2cf7973 Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Tue, 5 Jan 2021 10:26:39 +0100 Subject: [PATCH 35/40] [DOIBoost] minor fixes in workflow definition --- .../dhp/doiboost/oozie_app/workflow.xml | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml index 9464c1a61..3f5805b62 100644 --- a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml +++ b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/oozie_app/workflow.xml @@ -91,9 +91,9 @@ ${wf:conf('resumeFrom') eq 'ConvertCrossrefToOAF'} ${wf:conf('resumeFrom') eq 'ResetMagWorkingPath'} - ${wf:conf('resumeFrom') eq 'PreprocessMag'} - ${wf:conf('resumeFrom') eq 'PreprocessUW'} - ${wf:conf('resumeFrom') eq 'PreprocessORCID'} + ${wf:conf('resumeFrom') eq 'PreprocessMag'} + ${wf:conf('resumeFrom') eq 'PreprocessUW'} + ${wf:conf('resumeFrom') eq 'PreprocessORCID'} ${wf:conf('resumeFrom') eq 'CreateDOIBoost'} ${wf:conf('resumeFrom') eq 'GenerateActionSet'} @@ -227,13 +227,13 @@ --targetPath${workingPath} --masteryarn-cluster - + - + yarn-cluster cluster @@ -251,12 +251,12 @@ --targetPath${workingPath} --masteryarn-cluster - + - + yarn-cluster cluster @@ -287,7 +287,7 @@ eu.dnetlib.doiboost.SparkGenerateDoiBoost dhp-doiboost-${projectVersion}.jar - --executor-memory=${sparkExecutorMemory} + --executor-memory=${sparkExecutorIntersectionMemory} --executor-cores=${sparkExecutorCores} --driver-memory=${sparkDriverMemory} --conf spark.sql.shuffle.partitions=3840 @@ -312,7 +312,7 @@ eu.dnetlib.doiboost.SparkGenerateDOIBoostActionSet dhp-doiboost-${projectVersion}.jar - --executor-memory=${sparkExecutorIntersectionMemory} + --executor-memory=${sparkExecutorMemory} --executor-cores=${sparkExecutorCores} --driver-memory=${sparkDriverMemory} --conf spark.sql.shuffle.partitions=3840 From 1361c9eb0c6c4f929eefaa071405d8e1d93ba202 Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Thu, 7 Jan 2021 10:07:30 +0100 Subject: [PATCH 36/40] [BIP! Scores integration] Create updates as Result rather than subclasses; Result considers also metrics in the mergeFrom operation --- dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Result.java | 2 +- .../dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Result.java b/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Result.java index 443c18230..0026ee9aa 100644 --- a/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Result.java +++ b/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Result.java @@ -243,7 +243,7 @@ public class Result extends OafEntity implements Serializable { Result r = (Result) e; - // TODO consider merging also Measures + measures = mergeLists(measures, r.getMeasures()); instance = mergeLists(instance, r.getInstance()); diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java index 50bda898c..dfe48542c 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java @@ -126,7 +126,7 @@ public class SparkAtomicActionScoreJob implements Serializable { }, Encoders.bean(BipScore.class)) .groupByKey((MapFunction) value -> value.getId(), Encoders.STRING()) .mapGroups((MapGroupsFunction) (k, it) -> { - Result ret = inputClazz.newInstance(); + Result ret = new Result(); BipScore first = it.next(); ret.setId(first.getId()); From 34229970e6df31c3d5520e6151b53e31943ad35c Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Fri, 8 Jan 2021 16:29:17 +0100 Subject: [PATCH 37/40] [BIP! Scores integration] Create updates as Result rather than subclasses; Result considers also metrics in the mergeFrom operation --- .../actionmanager/bipfinder/SparkAtomicActionScoreJob.java | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java index dfe48542c..2cd37d9ea 100644 --- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java @@ -125,16 +125,17 @@ public class SparkAtomicActionScoreJob implements Serializable { return ret; }, Encoders.bean(BipScore.class)) .groupByKey((MapFunction) value -> value.getId(), Encoders.STRING()) - .mapGroups((MapGroupsFunction) (k, it) -> { + .mapGroups((MapGroupsFunction) (k, it) -> { Result ret = new Result(); + ret.setDataInfo(getDataInfo()); BipScore first = it.next(); ret.setId(first.getId()); ret.setMeasures(getMeasure(first)); it.forEachRemaining(value -> ret.getMeasures().addAll(getMeasure(value))); - return (I) ret; - }, Encoders.bean(inputClazz)) + return ret; + }, Encoders.bean(Result.class)) .toJavaRDD() .map(p -> new AtomicAction(inputClazz, p)) .mapToPair( From 2a7a10809ed20ed94e2c3ebbaea157003d5946ed Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Mon, 11 Jan 2021 10:05:02 +0100 Subject: [PATCH 38/40] [BIP! Scores integration] merged missing classes from bipFinder branch --- .../bipfinder/BipDeserialize.java | 28 ++++++ .../bipfinder/CollectAndSave.java | 85 +++++++++++++++++++ .../dhp/actionmanager/bipfinder/KeyValue.java | 26 ++++++ .../bipfinder/PreparedResult.java | 28 ++++++ .../dhp/actionmanager/bipfinder/Score.java | 30 +++++++ 5 files changed, 197 insertions(+) create mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java create mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/CollectAndSave.java create mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/KeyValue.java create mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java create mode 100644 dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java new file mode 100644 index 000000000..d5b2ced7c --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/BipDeserialize.java @@ -0,0 +1,28 @@ + +package eu.dnetlib.dhp.actionmanager.bipfinder; + +import java.io.Serializable; +import java.util.ArrayList; +import java.util.HashMap; +import java.util.List; + +/** + * Class that maps the model of the bipFinder! input data. + * Only needed for deserialization purposes + */ + +public class BipDeserialize extends HashMap> implements Serializable { + + public BipDeserialize() { + super(); + } + + public List get(String key) { + + if (super.get(key) == null) { + return new ArrayList<>(); + } + return super.get(key); + } + +} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/CollectAndSave.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/CollectAndSave.java new file mode 100644 index 000000000..0bebe2fb0 --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/CollectAndSave.java @@ -0,0 +1,85 @@ + +package eu.dnetlib.dhp.actionmanager.bipfinder; + +import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession; + +import java.io.Serializable; +import java.util.Optional; + +import org.apache.commons.io.IOUtils; +import org.apache.hadoop.io.Text; +import org.apache.hadoop.mapred.SequenceFileOutputFormat; +import org.apache.spark.SparkConf; +import org.apache.spark.api.java.JavaSparkContext; +import org.apache.spark.sql.SparkSession; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import com.fasterxml.jackson.databind.ObjectMapper; + +import eu.dnetlib.dhp.application.ArgumentApplicationParser; +import eu.dnetlib.dhp.common.HdfsSupport; +import eu.dnetlib.dhp.schema.oaf.Result; + +/** + * Just collects all the atomic actions produced for the different results and saves them in + * outputpath for the ActionSet + */ +public class CollectAndSave implements Serializable { + + private static final Logger log = LoggerFactory.getLogger(CollectAndSave.class); + private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); + + public static void main(String[] args) throws Exception { + + String jsonConfiguration = IOUtils + .toString( + CollectAndSave.class + .getResourceAsStream( + "/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json")); + + final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration); + + parser.parseArgument(args); + + Boolean isSparkSessionManaged = Optional + .ofNullable(parser.get("isSparkSessionManaged")) + .map(Boolean::valueOf) + .orElse(Boolean.TRUE); + + log.info("isSparkSessionManaged: {}", isSparkSessionManaged); + + final String inputPath = parser.get("inputPath"); + log.info("inputPath {}: ", inputPath); + + final String outputPath = parser.get("outputPath"); + log.info("outputPath {}: ", outputPath); + + SparkConf conf = new SparkConf(); + + runWithSparkSession( + conf, + isSparkSessionManaged, + spark -> { + removeOutputDir(spark, outputPath); + collectAndSave(spark, inputPath, outputPath); + }); + } + + private static void collectAndSave(SparkSession spark, String inputPath, String outputPath) { + JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext()); + + sc + .sequenceFile(inputPath + "/publication", Text.class, Text.class) + .union(sc.sequenceFile(inputPath + "/dataset", Text.class, Text.class)) + .union(sc.sequenceFile(inputPath + "/otherresearchproduct", Text.class, Text.class)) + .union(sc.sequenceFile(inputPath + "/software", Text.class, Text.class)) + .saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class); + ; + } + + private static void removeOutputDir(SparkSession spark, String path) { + HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration()); + } + +} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/KeyValue.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/KeyValue.java new file mode 100644 index 000000000..6909a9634 --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/KeyValue.java @@ -0,0 +1,26 @@ + +package eu.dnetlib.dhp.actionmanager.bipfinder; + +import java.io.Serializable; + +public class KeyValue implements Serializable { + + private String key; + private String value; + + public String getKey() { + return key; + } + + public void setKey(String key) { + this.key = key; + } + + public String getValue() { + return value; + } + + public void setValue(String value) { + this.value = value; + } +} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java new file mode 100644 index 000000000..493e94417 --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/PreparedResult.java @@ -0,0 +1,28 @@ + +package eu.dnetlib.dhp.actionmanager.bipfinder; + +import java.io.Serializable; + +/** + * Subset of the information of the generic results that are needed to create the atomic action + */ +public class PreparedResult implements Serializable { + private String id; // openaire id + private String value; // doi + + public String getId() { + return id; + } + + public void setId(String id) { + this.id = id; + } + + public String getValue() { + return value; + } + + public void setValue(String value) { + this.value = value; + } +} diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java new file mode 100644 index 000000000..7cc21b44d --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/Score.java @@ -0,0 +1,30 @@ + +package eu.dnetlib.dhp.actionmanager.bipfinder; + +import java.io.Serializable; +import java.util.List; + +/** + * represents the score in the input file + */ +public class Score implements Serializable { + + private String id; + private List unit; + + public String getId() { + return id; + } + + public void setId(String id) { + this.id = id; + } + + public List getUnit() { + return unit; + } + + public void setUnit(List unit) { + this.unit = unit; + } +} From 41500669e221dd8ea1d5704b251770aea250e4a9 Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Mon, 11 Jan 2021 14:39:47 +0100 Subject: [PATCH 39/40] [BIP! Scores integration] merged missing classes from bipFinder branch --- .../bipfinder/input_actionset_parameter.json | 20 + .../bipfinder/input_parameters.json | 32 + .../bipfinder/oozie_app/workflow.xml | 171 +++ .../SparkAtomicActionScoreJobTest.java | 323 +++++ .../actionmanager/bipfinder/bip_scores.json | 1101 +++++++++++++++++ .../actionmanager/bipfinder/publication.json | 18 + .../bipfinder/publication_2.json | 18 + .../bipfinder/publication_3.json | 18 + 8 files changed, 1701 insertions(+) create mode 100644 dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json create mode 100644 dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json create mode 100644 dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml create mode 100644 dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java create mode 100644 dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json create mode 100644 dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/publication.json create mode 100644 dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/publication_2.json create mode 100644 dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/publication_3.json diff --git a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json new file mode 100644 index 000000000..7663a454b --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json @@ -0,0 +1,20 @@ +[ + { + "paramName": "issm", + "paramLongName": "isSparkSessionManaged", + "paramDescription": "when true will stop SparkSession after job execution", + "paramRequired": false + }, + { + "paramName": "ip", + "paramLongName": "inputPath", + "paramDescription": "the URL from where to get the programme file", + "paramRequired": true + }, + { + "paramName": "o", + "paramLongName": "outputPath", + "paramDescription": "the path of the new ActionSet", + "paramRequired": true + } +] \ No newline at end of file diff --git a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json new file mode 100644 index 000000000..31771a40a --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json @@ -0,0 +1,32 @@ +[ + { + "paramName": "issm", + "paramLongName": "isSparkSessionManaged", + "paramDescription": "when true will stop SparkSession after job execution", + "paramRequired": false + }, + { + "paramName": "ip", + "paramLongName": "inputPath", + "paramDescription": "the URL from where to get the programme file", + "paramRequired": true + }, + { + "paramName": "o", + "paramLongName": "outputPath", + "paramDescription": "the path of the new ActionSet", + "paramRequired": true + }, + { + "paramName": "rtn", + "paramLongName": "resultTableName", + "paramDescription": "the path of the new ActionSet", + "paramRequired": true + }, + { + "paramName": "bsp", + "paramLongName": "bipScorePath", + "paramDescription": "the path of the new ActionSet", + "paramRequired": true + } +] \ No newline at end of file diff --git a/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml new file mode 100644 index 000000000..5311a6614 --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/oozie_app/workflow.xml @@ -0,0 +1,171 @@ + + + + inputPath + the input path of the resources to be extended + + + + bipScorePath + the path where to find the bipFinder scores + + + outputPath + the path where to store the actionset + + + + + + Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}] + + + + + + + + + + + + + + + + + + + + + + yarn + cluster + Produces the atomic action with the bip finder scores for publications + eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob + dhp-aggregation-${projectVersion}.jar + + --executor-memory=${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} + + --inputPath${inputPath}/publication + --resultTableNameeu.dnetlib.dhp.schema.oaf.Publication + --outputPath${workingDir}/publication + --bipScorePath${bipScorePath} + + + + + + + + yarn + cluster + Produces the atomic action with the bip finder scores for datasets + eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob + dhp-aggregation-${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=${sparkSqlWarehouseDir} + + --inputPath${inputPath}/dataset + --resultTableNameeu.dnetlib.dhp.schema.oaf.Dataset + --outputPath${workingDir}/dataset + --bipScorePath${bipScorePath} + + + + + + + + yarn + cluster + Produces the atomic action with the bip finder scores for orp + eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob + dhp-aggregation-${projectVersion}.jar + + --executor-memory=${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} + + --inputPath${inputPath}/otherresearchproduct + --resultTableNameeu.dnetlib.dhp.schema.oaf.OtherResearchProduct + --outputPath${workingDir}/otherresearchproduct + --bipScorePath${bipScorePath} + + + + + + + + yarn + cluster + Produces the atomic action with the bip finder scores for software + eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob + dhp-aggregation-${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=${sparkSqlWarehouseDir} + + --inputPath${inputPath}/software + --resultTableNameeu.dnetlib.dhp.schema.oaf.Software + --outputPath${workingDir}/software + --bipScorePath${bipScorePath} + + + + + + + + + + yarn + cluster + saves all the aa produced for the several types of results in the as output path + eu.dnetlib.dhp.actionmanager.bipfinder.CollectAndSave + dhp-aggregation-${projectVersion}.jar + + --executor-memory=${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} + + --inputPath${workingDir} + --outputPath${outputPath} + + + + + + + \ No newline at end of file diff --git a/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java b/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java new file mode 100644 index 000000000..7200d2896 --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTest.java @@ -0,0 +1,323 @@ + +package eu.dnetlib.dhp.actionmanager.bipfinder; + +import java.io.IOException; +import java.nio.file.Files; +import java.nio.file.Path; +import java.util.List; + +import org.apache.commons.io.FileUtils; +import org.apache.hadoop.io.Text; +import org.apache.spark.SparkConf; +import org.apache.spark.api.java.JavaRDD; +import org.apache.spark.api.java.JavaSparkContext; +import org.apache.spark.sql.Dataset; +import org.apache.spark.sql.Encoders; +import org.apache.spark.sql.Row; +import org.apache.spark.sql.SparkSession; +import org.junit.jupiter.api.AfterAll; +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.BeforeAll; +import org.junit.jupiter.api.Test; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import com.fasterxml.jackson.databind.ObjectMapper; + +import eu.dnetlib.dhp.schema.action.AtomicAction; +import eu.dnetlib.dhp.schema.oaf.Publication; + +public class SparkAtomicActionScoreJobTest { + + private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); + + private static SparkSession spark; + + private static Path workingDir; + private static final Logger log = LoggerFactory + .getLogger(SparkAtomicActionScoreJobTest.class); + + @BeforeAll + public static void beforeAll() throws IOException { + workingDir = Files + .createTempDirectory(SparkAtomicActionScoreJobTest.class.getSimpleName()); + log.info("using work dir {}", workingDir); + + SparkConf conf = new SparkConf(); + conf.setAppName(SparkAtomicActionScoreJobTest.class.getSimpleName()); + + conf.setMaster("local[*]"); + conf.set("spark.driver.host", "localhost"); + conf.set("hive.metastore.local", "true"); + conf.set("spark.ui.enabled", "false"); + conf.set("spark.sql.warehouse.dir", workingDir.toString()); + conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString()); + + spark = SparkSession + .builder() + .appName(SparkAtomicActionScoreJobTest.class.getSimpleName()) + .config(conf) + .getOrCreate(); + } + + @AfterAll + public static void afterAll() throws IOException { + FileUtils.deleteDirectory(workingDir.toFile()); + spark.stop(); + } + + @Test + public void matchOne() throws Exception { + String bipScoresPath = getClass() + .getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json") + .getPath(); + String inputPath = getClass() + .getResource( + "/eu/dnetlib/dhp/actionmanager/bipfinder/publication.json") + .getPath(); + + SparkAtomicActionScoreJob + .main( + new String[] { + "-isSparkSessionManaged", + Boolean.FALSE.toString(), + "-inputPath", + inputPath, + "-bipScorePath", + bipScoresPath, + "-resultTableName", + "eu.dnetlib.dhp.schema.oaf.Publication", + "-outputPath", + workingDir.toString() + "/actionSet" + }); + + final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); + + JavaRDD tmp = sc + .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) + .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) + .map(aa -> ((Publication) aa.getPayload())); + + Assertions.assertTrue(tmp.count() == 1); + + Dataset verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class)); + verificationDataset.createOrReplaceTempView("publication"); + + Dataset execVerification = spark + .sql( + "Select p.id oaid, mes.id, mUnit.value from publication p " + + "lateral view explode(measures) m as mes " + + "lateral view explode(mes.unit) u as mUnit "); + + Assertions.assertEquals(2, execVerification.count()); + + Assertions + .assertEquals( + "50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb", + execVerification.select("oaid").collectAsList().get(0).getString(0)); + + Assertions + .assertEquals( + "1.47565045883e-08", + execVerification.filter("id = 'influence'").select("value").collectAsList().get(0).getString(0)); + + Assertions + .assertEquals( + "0.227515392", + execVerification.filter("id = 'popularity'").select("value").collectAsList().get(0).getString(0)); + + } + + @Test + public void matchOneWithTwo() throws Exception { + String bipScoresPath = getClass() + .getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json") + .getPath(); + String inputPath = getClass() + .getResource( + "/eu/dnetlib/dhp/actionmanager/bipfinder/publication_2.json") + .getPath(); + + SparkAtomicActionScoreJob + .main( + new String[] { + "-isSparkSessionManaged", + Boolean.FALSE.toString(), + "-inputPath", + inputPath, + "-bipScorePath", + bipScoresPath, + "-resultTableName", + "eu.dnetlib.dhp.schema.oaf.Publication", + "-outputPath", + workingDir.toString() + "/actionSet" + }); + + final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); + + JavaRDD tmp = sc + .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) + .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) + .map(aa -> ((Publication) aa.getPayload())); + + Assertions.assertTrue(tmp.count() == 1); + + Dataset verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class)); + verificationDataset.createOrReplaceTempView("publication"); + + Dataset execVerification = spark + .sql( + "Select p.id oaid, mes.id, mUnit.value from publication p " + + "lateral view explode(measures) m as mes " + + "lateral view explode(mes.unit) u as mUnit "); + + Assertions.assertEquals(4, execVerification.count()); + + Assertions + .assertEquals( + "50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb", + execVerification.select("oaid").collectAsList().get(0).getString(0)); + + Assertions + .assertEquals( + 2, + execVerification.filter("id = 'influence'").count()); + + Assertions + .assertEquals( + 2, + execVerification.filter("id = 'popularity'").count()); + + List tmp_ds = execVerification.filter("id = 'influence'").select("value").collectAsList(); + String tmp_influence = tmp_ds.get(0).getString(0); + Assertions + .assertTrue( + "1.47565045883e-08".equals(tmp_influence) || + "1.98956540239e-08".equals(tmp_influence)); + + tmp_influence = tmp_ds.get(1).getString(0); + Assertions + .assertTrue( + "1.47565045883e-08".equals(tmp_influence) || + "1.98956540239e-08".equals(tmp_influence)); + + Assertions.assertTrue(!tmp_ds.get(0).getString(0).equals(tmp_ds.get(1).getString(0))); + + } + + @Test + public void matchTwo() throws Exception { + String bipScoresPath = getClass() + .getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json") + .getPath(); + String inputPath = getClass() + .getResource( + "/eu/dnetlib/dhp/actionmanager/bipfinder/publication_3.json") + .getPath(); + + SparkAtomicActionScoreJob + .main( + new String[] { + "-isSparkSessionManaged", + Boolean.FALSE.toString(), + "-inputPath", + inputPath, + "-bipScorePath", + bipScoresPath, + "-resultTableName", + "eu.dnetlib.dhp.schema.oaf.Publication", + "-outputPath", + workingDir.toString() + "/actionSet" + }); + + final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); + + JavaRDD tmp = sc + .sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) + .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) + .map(aa -> ((Publication) aa.getPayload())); + + Assertions.assertTrue(tmp.count() == 2); + + Dataset verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class)); + verificationDataset.createOrReplaceTempView("publication"); + + Dataset execVerification = spark + .sql( + "Select p.id oaid, mes.id, mUnit.value from publication p " + + "lateral view explode(measures) m as mes " + + "lateral view explode(mes.unit) u as mUnit "); + + Assertions.assertEquals(4, execVerification.count()); + + Assertions + .assertEquals( + 2, + execVerification.filter("oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb'").count()); + + Assertions + .assertEquals( + 2, + execVerification.filter("oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09'").count()); + + Assertions + .assertEquals( + 2, + execVerification.filter("id = 'influence'").count()); + + Assertions + .assertEquals( + 2, + execVerification.filter("id = 'popularity'").count()); + + Assertions + .assertEquals( + "1.47565045883e-08", + execVerification + .filter( + "oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb' " + + "and id = 'influence'") + .select("value") + .collectAsList() + .get(0) + .getString(0)); + + Assertions + .assertEquals( + "1.98956540239e-08", + execVerification + .filter( + "oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09' " + + "and id = 'influence'") + .select("value") + .collectAsList() + .get(0) + .getString(0)); + + Assertions + .assertEquals( + "0.282046161584", + execVerification + .filter( + "oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09' " + + "and id = 'popularity'") + .select("value") + .collectAsList() + .get(0) + .getString(0)); + + Assertions + .assertEquals( + "0.227515392", + execVerification + .filter( + "oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb' " + + "and id = 'popularity'") + .select("value") + .collectAsList() + .get(0) + .getString(0)); + + } + +} diff --git a/dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json b/dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json new file mode 100644 index 000000000..a4f3fa8b8 --- /dev/null +++ b/dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json @@ -0,0 +1,1101 @@ +{"10.1001/10-v4n2-hsf10003": [{"id": "influence", "unit": [{"value": "1.62759106106e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.22519296", "key": "score"}]}]} +{"10.1001/2012.jama.10456": [{"id": "influence", "unit": [{"value": "1.66083991022e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.8690688", "key": "score"}]}]} +{"10.1001/2013.jamadermatol.729": [{"id": "influence", "unit": [{"value": "2.0769133069e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.0279936", "key": "score"}]}]} +{"10.1001/archderm.107.6.853": [{"id": "influence", "unit": [{"value": "1.95361113607e-08", "key": "score"}]}, {"id": "popularity", "unit": [{"value": "0.600657255944", "key": "score"}]}]} +{"10.1001/archderm.1926.02370130020002": [{"id": "influence", "unit": [{"value": "1.48611319422e-08", "key": "score"}]}, {"id": 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, P 1988 , ' Puun kierteisyys ja sen vaikutus sahatavaran laatuun ' , Sahamies , no. 9 , pp. 260-264 ."}],"subject":[{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"","inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:repository","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"qualifier":{"classid":"keyword","classname":"keyword","schemeid":"dnet:result_subject","schemename":"dnet:result_subject"},"value":"/fi/minedu/virta/publicationtypes/d1"},{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"","inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:repository","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"qualifier":{"classid":"keyword","classname":"keyword","schemeid":"dnet:result_subject","schemename":"dnet:result_subject"},"value":"D1 Professional magazine 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central problem for the function and manufacture of materials where performance relies on nanoscale structure is to control the compatibility and interactions of the building blocks. In natural materials, such as nacre, there are examples of multifunctional macromolecules that have combined binding affinities for different materials within the same molecule, thereby bridging these materials and acting as a molecular glue. Here, we describe the use of a designed multifunctional protein that is used for self-assembly of nanofibrillar cellulose. Recent advances in the production of cellulose nanofibrils have given inspiration for new uses of cellulosic materials. Cellulose nanofibrils have mechanical and structural features that open new possibilities for performance in composites and other nanoscale materials. Functionalisation was realised through a bi-functional fusion protein having both an ability to bind to cellulose and a second functionality of surface activity. The cellulose-binding function was obtained using cellulose-binding domains from cellulolytic enzymes and the surface activity through the use of a surface active protein called hydrophobin. 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Ce qui nous frappe en premier lieu dans le roman de Melchior Mbonimpa, Le Totem des Baranda, c'est l'efficacité de sa fonction didactique. Le livre est porteur d'un message, d'une vision sur l'histoire de l'Afrique des Grands Lacs qu'on rencontre rarement dans l'actualité ou l'histoire immédiate que nous livrent les médias.

Cette thèse se penchera sur un aspect de ce roman qui a particulièrement attiré notre attention: la représentation de la résistance à travers l'affirmation identitaire des personnages féminins. Dans notre analyse de ce thème, nous accordons une grande importance au contexte socioculturel et à l'imaginaire collectif qui nourrissent l'auteur et dans lesquels s'inscrivent ses personnages. L'étude soulignera la fonction sociale de l'écrivain et relèvera la contribution de la fiction à la culture africaine. Nous mettrons en évidence les positions idéologiques de l'auteur et le message de sensibilisation qu'il adresse à diverses catégories de lecteurs: ceux qui se trouvent en Afrique, les Africains de la diaspora, et les lecteurs non-Africains qui s'intéressent à son œuvre. Cette orientation idéologique affecte évidemment la manière dont s'exprime la résistance des pnncIpaux personnages féminins du roman. Elle détermine la place que cette fiction accorde à la femme, et qui correspond sans doute à la place que, selon les souhaits de l'auteur, la femme devrait occuper dans le contexte culturel africain. Notre étude insiste aussi sur le fait que dans ce roman, la modernité se nourrit de la culture traditionnelle et ne renie pas les valeurs du passé.

Ainsi, le parcours narratif montre que dans leur résistance, les héroïnes de la généalogie vivent à leur époque, mais chacune porte plus loin une mission transmise par les précédentes.

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The superconducting transition in the magnetic resistance of members of the family of bismuth based high temperature superconductors was investigated. Measurements were performed in magnetic fields up to 1.7 T. Small current densities ranging from 0.03 A/cm² to 3.0 A/cm² were applied. The resistivity of Bi₂Sr₂CaCu₂Ox single crystals was analyzed in terms of the thermally activated flux flow expression, ρ =ρ₀U/T exp(-U/T) where T is the temperature. It was found that the activation energy was given by Uα(Hsinθ)^(⁻α) where α≈1/3 and that the prefactor had the form, ρ₀Hsinθ, where H was the applied field and θ the angle of the field with respect to the CuO₂ planes. Results demonstrated that dissipation could be accounted for by the motion of two-dimensional vortices whose density is given by the field, Hsinθ, projected on the CuO₂ planes. Measurements of the resistivity and current dependent resistivity were performed with two Sn-doped and two Sb-doped polycrystalline Bi(1.7)Pb(0.3)Sr₂Ca₂Cu₃O(y) samples. Features in the temperature derivative of the resistivity curves were associated with the presence of a superconducting transition between superconducting grains, coupled by weak links with a distribution of critical currents and critical temperatures, and the superconducting transition within grains. The transition between grains was more strongly suppressed in temperature with the application of a magnetic field in samples with weaker coupling between grains. The presence of a transition in a magnetic field due to weak links between grains was verified at 77 K by the observation of a current dependent resistivity in a magnetic field. Measurements of a Bi₂Sr₂CaCu₂Ox diffusion grown thick film ring were done. The transverse voltage, the voltage at the centre of a 120 μm thick branch with respect to the centre of a 76 μm thick branch, was measured. A higher critical temperature from the presence of more texturing in the 76 μm branch as determined by separate resistivity, x-ray and scanning electron microscopy measurements was consistent with the measurement of a crossover from a negative to positive transverse voltage as the temperature of the sample went through its superconducting transition.

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This study examines Leonard Cohen's novel Beautiful Losers through the lenses of allegorical and authorial theories to appreciate how the novel uses allegorical techniques to code into symbolic terms an exploration of the polysemous nature of the word ''translation.'' The first chapter studies the stylistic and conceptual dimensions of allegory as a literary genre - as critics like Northrop Frye, Angus Fletchet, and Maureen Quilligan help to define it - while arguing that Cohen's novel is consciously allegorical, challenging readers to interpret what it \"means,\" or may mean. The second chapter performs an intensive re-reading of Beautiful Losers, examining how the novel uses complex systems of verbal play (particularly puns) to coordinate a reunification of various dichotomies historical \"reality\"/imaginative myth, secularity/spirituality, enslavement/sanctification, among others - employed throughout the text. The thesis concludes that the novel is perpetually playing with various types of translation (spiritual, linguistic, physical, and so forth), affirming the need for emotionally-charged, devotional forms of expression (like song and prayer) over more clinical attempts to reorder or recreate the world and its inhabitants. Ultimately, this discussion argues that an understanding of the allegorical dimensions of Beautiful Losers may illuminate how Cohen's other works (particularly his songs) may be studied as attempts to associate word with voice, to emphasize the process of expression (translation) rather than just the finished product.

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central problem for the function and manufacture of materials where performance relies on nanoscale structure is to control the compatibility and interactions of the building blocks. In natural materials, such as nacre, there are examples of multifunctional macromolecules that have combined binding affinities for different materials within the same molecule, thereby bridging these materials and acting as a molecular glue. Here, we describe the use of a designed multifunctional protein that is used for self-assembly of nanofibrillar cellulose. Recent advances in the production of cellulose nanofibrils have given inspiration for new uses of cellulosic materials. Cellulose nanofibrils have mechanical and structural features that open new possibilities for performance in composites and other nanoscale materials. Functionalisation was realised through a bi-functional fusion protein having both an ability to bind to cellulose and a second functionality of surface activity. The cellulose-binding function was obtained using cellulose-binding domains from cellulolytic enzymes and the surface activity through the use of a surface active protein called hydrophobin. Using the bi-functional protein, cellulose nanofibrils could be assembled into tightly packed thin films at the air/water interface and at the oil/water interface. It was shown that the combination of protein and cellulose nanofibrils resulted in a synergistic improvement in the formation and stability of oil-in-water emulsions resulting in emulsions that were stable for several months. The bi-functionality of the protein also allowed the binding of hydrophobic solid drug nanoparticles to cellulose nanofibrils and thereby improving their long-term stability under physiological conditions."}],"externalReference":[],"extraInfo":[],"format":[],"fulltext":[],"id":"50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb","instance":[{"accessright":{"classid":"CLOSED","classname":"Closed Access","schemeid":"dnet:access_modes","schemename":"dnet:access_modes"},"collectedfrom":{"key":"10|openaire____::4692342f0992d91f9e705c26959f09e0","value":"VTT Research Information 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Ce qui nous frappe en premier lieu dans le roman de Melchior Mbonimpa, Le Totem des Baranda, c'est l'efficacité de sa fonction didactique. Le livre est porteur d'un message, d'une vision sur l'histoire de l'Afrique des Grands Lacs qu'on rencontre rarement dans l'actualité ou l'histoire immédiate que nous livrent les médias.

Cette thèse se penchera sur un aspect de ce roman qui a particulièrement attiré notre attention: la représentation de la résistance à travers l'affirmation identitaire des personnages féminins. Dans notre analyse de ce thème, nous accordons une grande importance au contexte socioculturel et à l'imaginaire collectif qui nourrissent l'auteur et dans lesquels s'inscrivent ses personnages. L'étude soulignera la fonction sociale de l'écrivain et relèvera la contribution de la fiction à la culture africaine. Nous mettrons en évidence les positions idéologiques de l'auteur et le message de sensibilisation qu'il adresse à diverses catégories de lecteurs: ceux qui se trouvent en Afrique, les Africains de la diaspora, et les lecteurs non-Africains qui s'intéressent à son œuvre. Cette orientation idéologique affecte évidemment la manière dont s'exprime la résistance des pnncIpaux personnages féminins du roman. Elle détermine la place que cette fiction accorde à la femme, et qui correspond sans doute à la place que, selon les souhaits de l'auteur, la femme devrait occuper dans le contexte culturel africain. Notre étude insiste aussi sur le fait que dans ce roman, la modernité se nourrit de la culture traditionnelle et ne renie pas les valeurs du passé.

Ainsi, le parcours narratif montre que dans leur résistance, les héroïnes de la généalogie vivent à leur époque, mais chacune porte plus loin une mission transmise par les précédentes.

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The superconducting transition in the magnetic resistance of members of the family of bismuth based high temperature superconductors was investigated. Measurements were performed in magnetic fields up to 1.7 T. Small current densities ranging from 0.03 A/cm² to 3.0 A/cm² were applied. The resistivity of Bi₂Sr₂CaCu₂Ox single crystals was analyzed in terms of the thermally activated flux flow expression, ρ =ρ₀U/T exp(-U/T) where T is the temperature. It was found that the activation energy was given by Uα(Hsinθ)^(⁻α) where α≈1/3 and that the prefactor had the form, ρ₀Hsinθ, where H was the applied field and θ the angle of the field with respect to the CuO₂ planes. Results demonstrated that dissipation could be accounted for by the motion of two-dimensional vortices whose density is given by the field, Hsinθ, projected on the CuO₂ planes. Measurements of the resistivity and current dependent resistivity were performed with two Sn-doped and two Sb-doped polycrystalline Bi(1.7)Pb(0.3)Sr₂Ca₂Cu₃O(y) samples. Features in the temperature derivative of the resistivity curves were associated with the presence of a superconducting transition between superconducting grains, coupled by weak links with a distribution of critical currents and critical temperatures, and the superconducting transition within grains. The transition between grains was more strongly suppressed in temperature with the application of a magnetic field in samples with weaker coupling between grains. The presence of a transition in a magnetic field due to weak links between grains was verified at 77 K by the observation of a current dependent resistivity in a magnetic field. Measurements of a Bi₂Sr₂CaCu₂Ox diffusion grown thick film ring were done. The transverse voltage, the voltage at the centre of a 120 μm thick branch with respect to the centre of a 76 μm thick branch, was measured. A higher critical temperature from the presence of more texturing in the 76 μm branch as determined by separate resistivity, x-ray and scanning electron microscopy measurements was consistent with the measurement of a crossover from a negative to positive transverse voltage as the temperature of the sample went through its superconducting transition.

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This study examines Leonard Cohen's novel Beautiful Losers through the lenses of allegorical and authorial theories to appreciate how the novel uses allegorical techniques to code into symbolic terms an exploration of the polysemous nature of the word ''translation.'' The first chapter studies the stylistic and conceptual dimensions of allegory as a literary genre - as critics like Northrop Frye, Angus Fletchet, and Maureen Quilligan help to define it - while arguing that Cohen's novel is consciously allegorical, challenging readers to interpret what it \"means,\" or may mean. The second chapter performs an intensive re-reading of Beautiful Losers, examining how the novel uses complex systems of verbal play (particularly puns) to coordinate a reunification of various dichotomies historical \"reality\"/imaginative myth, secularity/spirituality, enslavement/sanctification, among others - employed throughout the text. The thesis concludes that the novel is perpetually playing with various types of translation (spiritual, linguistic, physical, and so forth), affirming the need for emotionally-charged, devotional forms of expression (like song and prayer) over more clinical attempts to reorder or recreate the world and its inhabitants. Ultimately, this discussion argues that an understanding of the allegorical dimensions of Beautiful Losers may illuminate how Cohen's other works (particularly his songs) may be studied as attempts to associate word with voice, to emphasize the process of expression (translation) rather than just the finished product.

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Dans ce cadre de travail généralisé des transformations linéaires fractionnaires (LFT - Linear Fractional Transformations) de la boucle fermée non-linéaire peuvent être facilement déduites pour l'analyse de la stabilité robuste en utilisant des outils standards pour de systèmes linéaires. La méthode proposée est testée pour le pilotage d'un véhicule de rentrée atmosphérique de type aile delta lors de ses phases hypersonique, transsonique et subsonique. Pour cette thèse, un simulateur du vol incluant divers facteurs externes ainsi que des erreurs de modélisation a été développé dans Simulink.\n\nThis thesis work is devoted to extending Nonlinear Dynamic Inversion (NDI) for a large scale of\nnonlinear systems while guaranteeing sufficient stability conditions. NDI has been studied in a wide range of applications, including aeronautics and aerospace. It allows to compute nonlinear control laws able to decouple and linearize a model at any operating point of its state envelope. 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Ce qui nous frappe en premier lieu dans le roman de Melchior Mbonimpa, Le Totem des Baranda, c'est l'efficacité de sa fonction didactique. Le livre est porteur d'un message, d'une vision sur l'histoire de l'Afrique des Grands Lacs qu'on rencontre rarement dans l'actualité ou l'histoire immédiate que nous livrent les médias.

Cette thèse se penchera sur un aspect de ce roman qui a particulièrement attiré notre attention: la représentation de la résistance à travers l'affirmation identitaire des personnages féminins. Dans notre analyse de ce thème, nous accordons une grande importance au contexte socioculturel et à l'imaginaire collectif qui nourrissent l'auteur et dans lesquels s'inscrivent ses personnages. L'étude soulignera la fonction sociale de l'écrivain et relèvera la contribution de la fiction à la culture africaine. Nous mettrons en évidence les positions idéologiques de l'auteur et le message de sensibilisation qu'il adresse à diverses catégories de lecteurs: ceux qui se trouvent en Afrique, les Africains de la diaspora, et les lecteurs non-Africains qui s'intéressent à son œuvre. Cette orientation idéologique affecte évidemment la manière dont s'exprime la résistance des pnncIpaux personnages féminins du roman. Elle détermine la place que cette fiction accorde à la femme, et qui correspond sans doute à la place que, selon les souhaits de l'auteur, la femme devrait occuper dans le contexte culturel africain. Notre étude insiste aussi sur le fait que dans ce roman, la modernité se nourrit de la culture traditionnelle et ne renie pas les valeurs du passé.

Ainsi, le parcours narratif montre que dans leur résistance, les héroïnes de la généalogie vivent à leur époque, mais chacune porte plus loin une mission transmise par les précédentes.

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The superconducting transition in the magnetic resistance of members of the family of bismuth based high temperature superconductors was investigated. Measurements were performed in magnetic fields up to 1.7 T. Small current densities ranging from 0.03 A/cm² to 3.0 A/cm² were applied. The resistivity of Bi₂Sr₂CaCu₂Ox single crystals was analyzed in terms of the thermally activated flux flow expression, ρ =ρ₀U/T exp(-U/T) where T is the temperature. It was found that the activation energy was given by Uα(Hsinθ)^(⁻α) where α≈1/3 and that the prefactor had the form, ρ₀Hsinθ, where H was the applied field and θ the angle of the field with respect to the CuO₂ planes. Results demonstrated that dissipation could be accounted for by the motion of two-dimensional vortices whose density is given by the field, Hsinθ, projected on the CuO₂ planes. Measurements of the resistivity and current dependent resistivity were performed with two Sn-doped and two Sb-doped polycrystalline Bi(1.7)Pb(0.3)Sr₂Ca₂Cu₃O(y) samples. Features in the temperature derivative of the resistivity curves were associated with the presence of a superconducting transition between superconducting grains, coupled by weak links with a distribution of critical currents and critical temperatures, and the superconducting transition within grains. The transition between grains was more strongly suppressed in temperature with the application of a magnetic field in samples with weaker coupling between grains. The presence of a transition in a magnetic field due to weak links between grains was verified at 77 K by the observation of a current dependent resistivity in a magnetic field. Measurements of a Bi₂Sr₂CaCu₂Ox diffusion grown thick film ring were done. The transverse voltage, the voltage at the centre of a 120 μm thick branch with respect to the centre of a 76 μm thick branch, was measured. A higher critical temperature from the presence of more texturing in the 76 μm branch as determined by separate resistivity, x-ray and scanning electron microscopy measurements was consistent with the measurement of a crossover from a negative to positive transverse voltage as the temperature of the sample went through its superconducting transition.

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This study examines Leonard Cohen's novel Beautiful Losers through the lenses of allegorical and authorial theories to appreciate how the novel uses allegorical techniques to code into symbolic terms an exploration of the polysemous nature of the word ''translation.'' The first chapter studies the stylistic and conceptual dimensions of allegory as a literary genre - as critics like Northrop Frye, Angus Fletchet, and Maureen Quilligan help to define it - while arguing that Cohen's novel is consciously allegorical, challenging readers to interpret what it \"means,\" or may mean. The second chapter performs an intensive re-reading of Beautiful Losers, examining how the novel uses complex systems of verbal play (particularly puns) to coordinate a reunification of various dichotomies historical \"reality\"/imaginative myth, secularity/spirituality, enslavement/sanctification, among others - employed throughout the text. The thesis concludes that the novel is perpetually playing with various types of translation (spiritual, linguistic, physical, and so forth), affirming the need for emotionally-charged, devotional forms of expression (like song and prayer) over more clinical attempts to reorder or recreate the world and its inhabitants. Ultimately, this discussion argues that an understanding of the allegorical dimensions of Beautiful Losers may illuminate how Cohen's other works (particularly his songs) may be studied as attempts to associate word with voice, to emphasize the process of expression (translation) rather than just the finished product.

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La NDI a été étudiée dans le cas de diverses applications, y compris en aéronautique et en aérospatiale. Elle permet de calculer des lois de contrôle capables de linéariser et de découpler un modèle non-linéaire à tout point de fonctionnement de son enveloppe d'état. Cependant cette méthode est intrinsèquement non-robuste aux erreurs de modélisation et aux saturations en entrée. En outre, dans un contexte non-linéaire, l'obtention d'une garantie quantifiable du domaine de stabilité atteint reste à l'heure actuelle complexe. Contrairement aux approches classiques de la NDI, notre méthodologie peut être considérée comme un cadre de compensation non-linéaire généralisé qui permet d'intégrer les incertitudes et les saturations en entrée dans le processus de conception. En utilisant des stratégies de contrôle antiwindup, la loi de pilotage peut être calculée grâce à un simple processus en deux phases. Dans ce cadre de travail généralisé des transformations linéaires fractionnaires (LFT - Linear Fractional Transformations) de la boucle fermée non-linéaire peuvent être facilement déduites pour l'analyse de la stabilité robuste en utilisant des outils standards pour de systèmes linéaires. La méthode proposée est testée pour le pilotage d'un véhicule de rentrée atmosphérique de type aile delta lors de ses phases hypersonique, transsonique et subsonique. Pour cette thèse, un simulateur du vol incluant divers facteurs externes ainsi que des erreurs de modélisation a été développé dans Simulink.\n\nThis thesis work is devoted to extending Nonlinear Dynamic Inversion (NDI) for a large scale of\nnonlinear systems while guaranteeing sufficient stability conditions. NDI has been studied in a wide range of applications, including aeronautics and aerospace. It allows to compute nonlinear control laws able to decouple and linearize a model at any operating point of its state envelope. 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a/dhp-workflows/dhp-broker-events/src/main/resources/eu/dnetlib/dhp/broker/oa/opendoarPartition/oozie_app/workflow.xml b/dhp-workflows/dhp-broker-events/src/main/resources/eu/dnetlib/dhp/broker/oa/opendoarPartition/oozie_app/workflow.xml index 83fe47c75..7c5b722d2 100644 --- a/dhp-workflows/dhp-broker-events/src/main/resources/eu/dnetlib/dhp/broker/oa/opendoarPartition/oozie_app/workflow.xml +++ b/dhp-workflows/dhp-broker-events/src/main/resources/eu/dnetlib/dhp/broker/oa/opendoarPartition/oozie_app/workflow.xml @@ -87,7 +87,7 @@ --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir} --conf spark.sql.shuffle.partitions=3840 - --workingDir${workingDir} + --outputDir${outputDir} --opendoarIds${opendoarIds}