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dnet-hadoop
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mergin with branch beta

This commit is contained in:
Miriam Baglioni 2022-04-22 15:52:34 +02:00
parent bbb77052d3 81242538e6
commit 87bff36d9e
13 changed files with 1158 additions and 248 deletions
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15
dhp-common/src/main/java/eu/dnetlib/dhp/schema/oaf/utils/OafMapperUtils.java
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@ -391,4 +391,19 @@ public class OafMapperUtils {
}
return null;
}
public static KeyValue newKeyValueInstance(String key, String value, DataInfo dataInfo) {
KeyValue kv = new KeyValue();
kv.setDataInfo(dataInfo);
kv.setKey(key);
kv.setValue(value);
return kv;
}
public static Measure newMeasureInstance(String id, String value, String key, DataInfo dataInfo) {
Measure m = new Measure();
m.setId(id);
m.setUnit(Arrays.asList(newKeyValueInstance(key, value, dataInfo)));
return m;
}
}

2
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/Constants.java
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@ -27,6 +27,8 @@ public class Constants {
public static final String UPDATE_CLASS_NAME = "Inferred by OpenAIRE";
public static final String UPDATE_MEASURE_BIP_CLASS_ID = "measure:bip";
public static final String UPDATE_SUBJECT_SDG_CLASS_ID = "subject:sdg";
public static final String UPDATE_MEASURE_USAGE_COUNTS_CLASS_ID = "measure:usage_counts";
public static final String UPDATE_KEY_USAGE_COUNTS = "count";
public static final String FOS_CLASS_ID = "FOS";
public static final String FOS_CLASS_NAME = "Fields of Science and Technology classification";

149
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/usagestats/SparkAtomicActionUsageJob.java Normal file
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@ -0,0 +1,149 @@
package eu.dnetlib.dhp.actionmanager.usagestats;
import static eu.dnetlib.dhp.actionmanager.Constants.*;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
import java.io.Serializable;
import java.util.Arrays;
import java.util.List;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
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.SaveMode;
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.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.DataInfo;
import eu.dnetlib.dhp.schema.oaf.Measure;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
/**
* created the Atomic Action for each type of results
*/
public class SparkAtomicActionUsageJob implements Serializable {
private static final Logger log = LoggerFactory.getLogger(SparkAtomicActionUsageJob.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
public static <I extends Result> void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
SparkAtomicActionUsageJob.class
.getResourceAsStream(
"/eu/dnetlib/dhp/actionmanager/usagestats/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 outputPath = parser.get("outputPath");
log.info("outputPath {}: ", outputPath);
SparkConf conf = new SparkConf();
conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
final String dbname = parser.get("usagestatsdb");
final String workingPath = parser.get("workingPath");
runWithSparkHiveSession(
conf,
isSparkSessionManaged,
spark -> {
removeOutputDir(spark, outputPath);
prepareResults(dbname, spark, workingPath);
prepareActionSet(spark, workingPath, outputPath);
});
}
public static void prepareResults(String db, SparkSession spark, String workingPath) {
spark
.sql(
"Select result_id, downloads, views " +
"from " + db + ".usage_stats")
.as(Encoders.bean(UsageStatsModel.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingPath);
}
public static void prepareActionSet(SparkSession spark, String inputPath, String outputPath) {
readPath(spark, inputPath, UsageStatsModel.class)
.groupByKey((MapFunction<UsageStatsModel, String>) us -> us.getResult_id(), Encoders.STRING())
.mapGroups((MapGroupsFunction<String, UsageStatsModel, Result>) (k, it) -> {
UsageStatsModel first = it.next();
it.forEachRemaining(us -> {
first.setDownloads(first.getDownloads() + us.getDownloads());
first.setViews(first.getViews() + us.getViews());
});
Result res = new Result();
res.setId("50|" + k);
res.setMeasures(getMeasure(first.getDownloads(), first.getViews()));
return res;
}, Encoders.bean(Result.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath);
}
private static List<Measure> getMeasure(Long downloads, Long views) {
DataInfo dataInfo = OafMapperUtils
.dataInfo(
false,
UPDATE_DATA_INFO_TYPE,
true,
false,
OafMapperUtils
.qualifier(
UPDATE_MEASURE_USAGE_COUNTS_CLASS_ID,
UPDATE_CLASS_NAME,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
"");
return Arrays
.asList(
OafMapperUtils
.newMeasureInstance("downloads", String.valueOf(downloads), UPDATE_KEY_USAGE_COUNTS, dataInfo),
OafMapperUtils.newMeasureInstance("views", String.valueOf(views), UPDATE_KEY_USAGE_COUNTS, dataInfo));
}
private static void removeOutputDir(SparkSession spark, String path) {
HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
}
public static <R> Dataset<R> readPath(
SparkSession spark, String inputPath, Class<R> clazz) {
return spark
.read()
.textFile(inputPath)
.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
}
}

34
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/usagestats/UsageStatsModel.java Normal file
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@ -0,0 +1,34 @@
package eu.dnetlib.dhp.actionmanager.usagestats;
import java.io.Serializable;
public class UsageStatsModel implements Serializable {
private String result_id;
private Long downloads;
private Long views;
public String getResult_id() {
return result_id;
}
public void setResult_id(String result_id) {
this.result_id = result_id;
}
public Long getDownloads() {
return downloads;
}
public void setDownloads(Long downloads) {
this.downloads = downloads;
}
public Long getViews() {
return views;
}
public void setViews(Long views) {
this.views = views;
}
}

32
dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/usagestats/input_actionset_parameter.json Normal file
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@ -0,0 +1,32 @@
[
{
"paramName": "issm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "when true will stop SparkSession after job execution",
"paramRequired": false
},
{
"paramName": "hmu",
"paramLongName": "hive_metastore_uris",
"paramDescription": "the URI for the hive metastore",
"paramRequired": true
},
{
"paramName": "o",
"paramLongName": "outputPath",
"paramDescription": "the path of the new ActionSet",
"paramRequired": true
},
{
"paramName": "sdb",
"paramLongName": "usagestatsdb",
"paramDescription": "the name of the db to be used",
"paramRequired": true
},
{
"paramName": "wp",
"paramLongName": "workingPath",
"paramDescription": "the workingPath where to save the content of the usage_stats table",
"paramRequired": true
}
]

30
dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/usagestats/oozie_app/config-default.xml Normal file
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@ -0,0 +1,30 @@
<configuration>
<property>
<name>jobTracker</name>
<value>yarnRM</value>
</property>
<property>
<name>nameNode</name>
<value>hdfs://nameservice1</value>
</property>
<property>
<name>oozie.use.system.libpath</name>
<value>true</value>
</property>
<property>
<name>hiveMetastoreUris</name>
<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
</property>
<property>
<name>hiveJdbcUrl</name>
<value>jdbc:hive2://iis-cdh5-test-m3.ocean.icm.edu.pl:10000</value>
</property>
<property>
<name>hiveDbName</name>
<value>openaire</value>
</property>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>

99
dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/usagestats/oozie_app/workflow.xml Normal file
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@ -0,0 +1,99 @@
<workflow-app name="UsageStatsCounts" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>outputPath</name>
<description>the path where to store the actionset</description>
</property>
<property>
<name>usagestatsdb</name>
<description>the name of the db to be used</description>
</property>
<property>
<name>sparkDriverMemory</name>
<description>memory for driver process</description>
</property>
<property>
<name>sparkExecutorMemory</name>
<description>memory for individual executor</description>
</property>
<property>
<name>sparkExecutorCores</name>
<description>number of cores used by single executor</description>
</property>
<property>
<name>oozieActionShareLibForSpark2</name>
<description>oozie action sharelib for spark 2.*</description>
</property>
<property>
<name>spark2ExtraListeners</name>
<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
<description>spark 2.* extra listeners classname</description>
</property>
<property>
<name>spark2SqlQueryExecutionListeners</name>
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
<description>spark 2.* sql query execution listeners classname</description>
</property>
<property>
<name>spark2YarnHistoryServerAddress</name>
<description>spark 2.* yarn history server address</description>
</property>
<property>
<name>spark2EventLogDir</name>
<description>spark 2.* event log dir location</description>
</property>
</parameters>
<global>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>mapreduce.job.queuename</name>
<value>${queueName}</value>
</property>
<property>
<name>oozie.launcher.mapred.job.queue.name</name>
<value>${oozieLauncherQueueName}</value>
</property>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>${oozieActionShareLibForSpark2}</value>
</property>
</configuration>
</global>
<start to="atomicactions"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="atomicactions">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Produces the atomic action with the usage stats count for results</name>
<class>eu.dnetlib.dhp.actionmanager.usagestats.SparkAtomicActionUsageJob</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--hive_metastore_uris</arg><arg>${hiveMetastoreUris}</arg>
<arg>--outputPath</arg><arg>${outputPath}</arg>
<arg>--usagestatsdb</arg><arg>${usagestatsdb}</arg>
<arg>--workingPath</arg><arg>${workingDir}/usageDb</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

259
dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/usagestats/SparkAtomicActionCountJobTest.java Normal file
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@ -0,0 +1,259 @@
package eu.dnetlib.dhp.actionmanager.usagestats;
import static org.junit.jupiter.api.Assertions.assertEquals;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.stream.Collectors;
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.actionmanager.bipfinder.SparkAtomicActionScoreJob;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.oaf.Result;
public class SparkAtomicActionCountJobTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
private static final Logger log = LoggerFactory
.getLogger(SparkAtomicActionCountJobTest.class);
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files
.createTempDirectory(SparkAtomicActionCountJobTest.class.getSimpleName());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(SparkAtomicActionCountJobTest.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(SparkAtomicActionCountJobTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
void testMatch() {
String usageScoresPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/usagestats/usagestatsdb")
.getPath();
SparkAtomicActionUsageJob.prepareActionSet(spark, usageScoresPath, workingDir.toString() + "/actionSet");
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Result> tmp = sc
.textFile(workingDir.toString() + "/actionSet")
.map(usm -> OBJECT_MAPPER.readValue(usm, Result.class));
Assertions.assertEquals(9, tmp.count());
tmp.foreach(r -> Assertions.assertEquals(2, r.getMeasures().size()));
tmp
.foreach(
r -> r
.getMeasures()
.stream()
.forEach(
m -> m
.getUnit()
.stream()
.forEach(u -> Assertions.assertFalse(u.getDataInfo().getDeletedbyinference()))));
tmp
.foreach(
r -> r
.getMeasures()
.stream()
.forEach(
m -> m.getUnit().stream().forEach(u -> Assertions.assertTrue(u.getDataInfo().getInferred()))));
tmp
.foreach(
r -> r
.getMeasures()
.stream()
.forEach(
m -> m
.getUnit()
.stream()
.forEach(u -> Assertions.assertFalse(u.getDataInfo().getInvisible()))));
tmp
.foreach(
r -> r
.getMeasures()
.stream()
.forEach(
m -> m
.getUnit()
.stream()
.forEach(
u -> Assertions
.assertEquals(
"measure:usage_counts",
u.getDataInfo().getProvenanceaction().getClassid()))));
tmp
.foreach(
r -> r
.getMeasures()
.stream()
.forEach(
m -> m
.getUnit()
.stream()
.forEach(
u -> Assertions
.assertEquals(
"Inferred by OpenAIRE",
u.getDataInfo().getProvenanceaction().getClassname()))));
tmp
.foreach(
r -> r
.getMeasures()
.stream()
.forEach(
m -> m
.getUnit()
.stream()
.forEach(
u -> Assertions
.assertEquals(
"count",
u.getKey()))));
Assertions
.assertEquals(
1, tmp.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6")).count());
Assertions
.assertEquals(
"0",
tmp
.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("downloads"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"5",
tmp
.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("views"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"0",
tmp
.filter(r -> r.getId().equals("50|doi_________::17eda2ff77407538fbe5d3d719b9d1c0"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("downloads"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"1",
tmp
.filter(r -> r.getId().equals("50|doi_________::17eda2ff77407538fbe5d3d719b9d1c0"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("views"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"2",
tmp
.filter(r -> r.getId().equals("50|doi_________::3085e4c6e051378ca6157fe7f0430c1f"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("downloads"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"6",
tmp
.filter(r -> r.getId().equals("50|doi_________::3085e4c6e051378ca6157fe7f0430c1f"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("views"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
}
}

12
dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/usagestats/usagestatsdb Normal file
View File

@ -0,0 +1,12 @@
{"result_id":"dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6","downloads":0,"views":4}
{"result_id":"dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6","downloads":0,"views":1}
{"result_id":"doi_________::17eda2ff77407538fbe5d3d719b9d1c0","downloads":0,"views":1}
{"result_id":"doi_________::1d4dc08605fd0a2be1105d30c63bfea1","downloads":1,"views":3}
{"result_id":"doi_________::2e3527822854ca9816f6dfea5bff61a8","downloads":1,"views":1}
{"result_id":"doi_________::3085e4c6e051378ca6157fe7f0430c1f","downloads":2,"views":3}
{"result_id":"doi_________::3085e4c6e051378ca6157fe7f0430c1f","downloads":0,"views":3}
{"result_id":"doi_________::33f710e6dd30cc5e67e35b371ddc33cf","downloads":0,"views":1}
{"result_id":"doi_________::39738ebf10654732dd3a7af9f24655f8","downloads":1,"views":3}
{"result_id":"doi_________::3c3b65f07c1a06c7894397eda1d11bbf","downloads":1,"views":8}
{"result_id":"doi_________::3c3b65f07c1a06c7894397eda1d11bbf","downloads":0,"views":2}
{"result_id":"doi_________::4938a71a884dd481d329657aa543b850","downloads":0,"views":3}

75
dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala
View File

@ -59,52 +59,6 @@ object SparkGenerateDoiBoost {
val workingDirPath = parser.get("workingPath")
val openaireOrganizationPath = parser.get("openaireOrganizationPath")
val crossrefAggregator = new Aggregator[(String, Publication), Publication, Publication] with Serializable {
override def zero: Publication = new Publication
override def reduce(b: Publication, a: (String, Publication)): Publication = {
if (b == null) {
if (a != null && a._2 != null) {
a._2.setId(a._1)
return a._2
}
} else {
if (a != null && a._2 != null) {
b.mergeFrom(a._2)
b.setId(a._1)
val authors = AuthorMerger.mergeAuthor(b.getAuthor, a._2.getAuthor)
b.setAuthor(authors)
return b
}
}
new Publication
}
override def merge(b1: Publication, b2: Publication): Publication = {
if (b1 == null) {
if (b2 != null)
return b2
} else {
if (b2 != null) {
b1.mergeFrom(b2)
val authors = AuthorMerger.mergeAuthor(b1.getAuthor, b2.getAuthor)
b1.setAuthor(authors)
if (b2.getId != null && b2.getId.nonEmpty)
b1.setId(b2.getId)
return b1
}
}
new Publication
}
override def finish(reduction: Publication): Publication = reduction
override def bufferEncoder: Encoder[Publication] = Encoders.kryo[Publication]
override def outputEncoder: Encoder[Publication] = Encoders.kryo[Publication]
}
implicit val mapEncoderPub: Encoder[Publication] = Encoders.kryo[Publication]
implicit val mapEncoderOrg: Encoder[Organization] = Encoders.kryo[Organization]
implicit val mapEncoderDataset: Encoder[OafDataset] = Encoders.kryo[OafDataset]
@ -175,8 +129,33 @@ object SparkGenerateDoiBoost {
.map(DoiBoostMappingUtil.fixPublication)
.map(p => (p.getId, p))
.groupByKey(_._1)
.agg(crossrefAggregator.toColumn)
.map(p => p._2)
.reduceGroups((left, right) => {
//Check left is not null
if (left != null && left._1 != null) {
//If right is null then return left
if (right == null || right._2 == null)
left
else {
// Here Left and Right are not null
// So we have to merge
val b1 = left._2
val b2 = right._2
b1.mergeFrom(b2)
b1.mergeOAFDataInfo(b2)
val authors = AuthorMerger.mergeAuthor(b1.getAuthor, b2.getAuthor)
b1.setAuthor(authors)
if (b2.getId != null && b2.getId.nonEmpty)
b1.setId(b2.getId)
//Return publication Merged
(b1.getId, b1)
}
} else {
// Left is Null so we return right
right
}
})
.filter(s => s != null && s._2 != null)
.map(s => s._2._2)
.write
.mode(SaveMode.Overwrite)
.save(s"$workingDirPath/doiBoostPublicationFiltered")

65
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleanContextSparkJob.java
View File

@ -1,16 +1,13 @@
package eu.dnetlib.dhp.oa.graph.clean;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Context;
import eu.dnetlib.dhp.schema.oaf.Oaf;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
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.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
@ -21,12 +18,18 @@ import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.Serializable;
import java.util.List;
import java.util.Optional;
import java.util.stream.Collectors;
import com.fasterxml.jackson.databind.ObjectMapper;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Context;
import eu.dnetlib.dhp.schema.oaf.Oaf;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
public class CleanContextSparkJob implements Serializable {
private static final Logger log = LoggerFactory.getLogger(CleanContextSparkJob.class);
@ -61,13 +64,11 @@ public class CleanContextSparkJob implements Serializable {
String verifyParam = parser.get("verifyParam");
log.info("verifyParam: {}", verifyParam);
String graphTableClassName = parser.get("graphTableClassName");
log.info("graphTableClassName: {}", graphTableClassName);
Class<? extends Result> entityClazz = (Class<? extends Result>) Class.forName(graphTableClassName);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
@ -78,7 +79,8 @@ public class CleanContextSparkJob implements Serializable {
});
}
private static <T extends Result> void cleanContext(SparkSession spark, String contextId, String verifyParam, String inputPath, Class<T> entityClazz, String workingPath) {
private static <T extends Result> void cleanContext(SparkSession spark, String contextId, String verifyParam,
String inputPath, Class<T> entityClazz, String workingPath) {
Dataset<T> res = spark
.read()
.textFile(inputPath)
@ -87,15 +89,26 @@ public class CleanContextSparkJob implements Serializable {
Encoders.bean(entityClazz));
res.map((MapFunction<T, T>) r -> {
if(!r.getTitle()
if (!r
.getTitle()
.stream()
.filter(t -> t.getQualifier().getClassid()
.filter(
t -> t
.getQualifier()
.getClassid()
.equalsIgnoreCase(ModelConstants.MAIN_TITLE_QUALIFIER.getClassid()))
.anyMatch(t -> t.getValue().toLowerCase().startsWith(verifyParam.toLowerCase()))) {
return r;
}
r.setContext(r.getContext().stream().filter(c -> !c.getId().split("::")[0]
.equalsIgnoreCase(contextId)).collect(Collectors.toList()));
r
.setContext(
r
.getContext()
.stream()
.filter(
c -> !c.getId().split("::")[0]
.equalsIgnoreCase(contextId))
.collect(Collectors.toList()));
return r;
}, Encoders.bean(entityClazz))
.write()
@ -103,7 +116,11 @@ public class CleanContextSparkJob implements Serializable {
.option("compression", "gzip")
.json(workingPath);
spark.read().textFile(workingPath).map((MapFunction<String, T>) value -> OBJECT_MAPPER.readValue(value, entityClazz),
spark
.read()
.textFile(workingPath)
.map(
(MapFunction<String, T>) value -> OBJECT_MAPPER.readValue(value, entityClazz),
Encoders.bean(entityClazz))
.write()
.mode(SaveMode.Overwrite)

143
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/clean/oozie_app/workflow.xml
View File

@ -13,6 +13,23 @@
<name>isLookupUrl</name>
<description>the address of the lookUp service</description>
</property>
<property>
<name>shouldCleanContext</name>
<description>true if the context have to be cleaned</description>
</property>
<property>
<name>contextId</name>
<value>sobigdata</value>
<description>It is the context id that should be removed from the result if the condition is matched.
Now it is just sobigdata. In a futere implementation I plan to have the contextId as value in a json
where to specify also the constraints that should be verified to remove the context from the result</description>
</property>
<property>
<name>verifyParam</name>
<value>gcube </value>
<description>It is the constrint to be verified. This time is hardcoded as gcube and it is searched for in
the title. If title starts with gcube than the context sobigdata will be removed by the result if present</description>
</property>
<property>
<name>sparkDriverMemory</name>
@ -275,7 +292,131 @@
<error to="Kill"/>
</action>
<join name="wait_clean" to="End"/>
<join name="wait_clean" to="clean_context"/>
<decision name="clean_context">
<switch>
<case to="fork_clean_context">${wf:conf('shouldCleanContext') eq true}</case>
<default to="End"/>
</switch>
</decision>
<fork name="fork_clean_context">
<path start="clean_publication_context"/>
<path start="clean_dataset_context"/>
<path start="clean_otherresearchproduct_context"/>
<path start="clean_software_context"/>
</fork>
<action name="clean_publication_context">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Clean publications context</name>
<class>eu.dnetlib.dhp.oa.graph.clean.CleanContextSparkJob</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--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=7680
</spark-opts>
<arg>--inputPath</arg><arg>${graphOutputPath}/publication</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
<arg>--workingPath</arg><arg>${workingDir}/working/publication</arg>
<arg>--contextId</arg><arg>${contextId}</arg>
<arg>--verifyParam</arg><arg>${verifyParam}</arg>
</spark>
<ok to="wait_clean_context"/>
<error to="Kill"/>
</action>
<action name="clean_dataset_context">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Clean datasets Context</name>
<class>eu.dnetlib.dhp.oa.graph.clean.CleanContextSparkJob</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${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}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=7680
</spark-opts>
<arg>--inputPath</arg><arg>${graphOutputPath}/dataset</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
<arg>--workingPath</arg><arg>${workingDir}/working/dataset</arg>
<arg>--contextId</arg><arg>${contextId}</arg>
<arg>--verifyParam</arg><arg>${verifyParam}</arg>
</spark>
<ok to="wait_clean_context"/>
<error to="Kill"/>
</action>
<action name="clean_otherresearchproduct_context">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Clean otherresearchproducts context</name>
<class>eu.dnetlib.dhp.oa.graph.clean.CleanContextSparkJob</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--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=7680
</spark-opts>
<arg>--inputPath</arg><arg>${graphOutputPath}/otherresearchproduct</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
<arg>--workingPath</arg><arg>${workingDir}/working/otherresearchproduct</arg>
<arg>--contextId</arg><arg>${contextId}</arg>
<arg>--verifyParam</arg><arg>${verifyParam}</arg>
</spark>
<ok to="wait_clean_context"/>
<error to="Kill"/>
</action>
<action name="clean_software_context">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Clean softwares context</name>
<class>eu.dnetlib.dhp.oa.graph.clean.CleanContextSparkJob</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${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}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=7680
</spark-opts>
<arg>--inputPath</arg><arg>${graphOutputPath}/software</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
<arg>--workingPath</arg><arg>${workingDir}/working/software</arg>
<arg>--contextId</arg><arg>${contextId}</arg>
<arg>--verifyParam</arg><arg>${verifyParam}</arg>
</spark>
<ok to="wait_clean_context"/>
<error to="Kill"/>
</action>
<join name="wait_clean_context" to="End"/>
<end name="End"/>
</workflow-app>

245
dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/clean/CleanContextTest.java
View File

@ -1,18 +1,12 @@
package eu.dnetlib.dhp.oa.graph.clean;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.oa.graph.dump.Constants;
import eu.dnetlib.dhp.oa.graph.dump.DumpJobTest;
import eu.dnetlib.dhp.oa.graph.dump.DumpProducts;
import eu.dnetlib.dhp.oa.graph.dump.community.CommunityMap;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.dump.oaf.Instance;
import eu.dnetlib.dhp.schema.dump.oaf.OpenAccessRoute;
import eu.dnetlib.dhp.schema.dump.oaf.graph.GraphResult;
import eu.dnetlib.dhp.schema.oaf.Publication;
import eu.dnetlib.dhp.schema.oaf.Software;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.List;
import java.util.Locale;
import org.apache.commons.io.FileUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
@ -27,11 +21,20 @@ import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.List;
import java.util.Locale;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.oa.graph.dump.Constants;
import eu.dnetlib.dhp.oa.graph.dump.DumpJobTest;
import eu.dnetlib.dhp.oa.graph.dump.DumpProducts;
import eu.dnetlib.dhp.oa.graph.dump.community.CommunityMap;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.dump.oaf.Instance;
import eu.dnetlib.dhp.schema.dump.oaf.OpenAccessRoute;
import eu.dnetlib.dhp.schema.dump.oaf.graph.GraphResult;
import eu.dnetlib.dhp.schema.oaf.Publication;
import eu.dnetlib.dhp.schema.oaf.Software;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
public class CleanContextTest {
@ -78,10 +81,14 @@ public class CleanContextTest {
.getPath();
final String prefix = "gcube ";
spark.read().textFile(sourcePath).map((MapFunction<String, Publication>) r -> OBJECT_MAPPER.readValue(r, Publication.class), Encoders.bean(Publication.class))
.write().json(workingDir.toString() + "/publication");
spark
.read()
.textFile(sourcePath)
.map(
(MapFunction<String, Publication>) r -> OBJECT_MAPPER.readValue(r, Publication.class),
Encoders.bean(Publication.class))
.write()
.json(workingDir.toString() + "/publication");
CleanContextSparkJob.main(new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
@ -100,60 +107,194 @@ public class CleanContextTest {
Assertions.assertEquals(7, tmp.count());
// original result with sobigdata context and gcube as starting string in the main title for the publication
Assertions.assertEquals(0,
tmp.filter(p->p.getId().equals("50|DansKnawCris::0224aae28af558f21768dbc6439c7a95")).collect().get(0).getContext().size());
Assertions
.assertEquals(
0,
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::0224aae28af558f21768dbc6439c7a95"))
.collect()
.get(0)
.getContext()
.size());
// original result with sobigdata context without gcube as starting string in the main title for the publication
Assertions.assertEquals(1,
tmp.filter(p->p.getId().equals("50|DansKnawCris::20c414a3b1c742d5dd3851f1b67df2d9")).collect().get(0).getContext().size());
Assertions.assertEquals("sobigdata::projects::2",tmp.filter(p->p.getId().equals("50|DansKnawCris::20c414a3b1c742d5dd3851f1b67df2d9")).collect().get(0).getContext().get(0).getId() );
Assertions
.assertEquals(
1,
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::20c414a3b1c742d5dd3851f1b67df2d9"))
.collect()
.get(0)
.getContext()
.size());
Assertions
.assertEquals(
"sobigdata::projects::2",
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::20c414a3b1c742d5dd3851f1b67df2d9"))
.collect()
.get(0)
.getContext()
.get(0)
.getId());
// original result with sobigdata context with gcube as starting string in the subtitle
Assertions.assertEquals(1,
tmp.filter(p->p.getId().equals("50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6af")).collect().get(0).getContext().size());
Assertions.assertEquals("sobigdata::projects::2",tmp.filter(p->p.getId().equals("50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6af")).collect().get(0).getContext().get(0).getId() );
List<StructuredProperty> titles = tmp.filter(p -> p.getId().equals("50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6af")).collect().get(0).getTitle();
Assertions
.assertEquals(
1,
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6af"))
.collect()
.get(0)
.getContext()
.size());
Assertions
.assertEquals(
"sobigdata::projects::2",
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6af"))
.collect()
.get(0)
.getContext()
.get(0)
.getId());
List<StructuredProperty> titles = tmp
.filter(p -> p.getId().equals("50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6af"))
.collect()
.get(0)
.getTitle();
Assertions.assertEquals(1, titles.size());
Assertions.assertTrue(titles.get(0).getValue().toLowerCase().startsWith(prefix));
Assertions.assertEquals("subtitle", titles.get(0).getQualifier().getClassid());
// original result with sobigdata context with gcube not as starting string in the main title
Assertions.assertEquals(1,
tmp.filter(p->p.getId().equals("50|DansKnawCris::3c9f068ddc930360bec6925488a9a97f")).collect().get(0).getContext().size());
Assertions.assertEquals("sobigdata::projects::1",tmp.filter(p->p.getId().equals("50|DansKnawCris::3c9f068ddc930360bec6925488a9a97f")).collect().get(0).getContext().get(0).getId() );
titles = tmp.filter(p -> p.getId().equals("50|DansKnawCris::3c9f068ddc930360bec6925488a9a97f")).collect().get(0).getTitle();
Assertions
.assertEquals(
1,
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::3c9f068ddc930360bec6925488a9a97f"))
.collect()
.get(0)
.getContext()
.size());
Assertions
.assertEquals(
"sobigdata::projects::1",
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::3c9f068ddc930360bec6925488a9a97f"))
.collect()
.get(0)
.getContext()
.get(0)
.getId());
titles = tmp
.filter(p -> p.getId().equals("50|DansKnawCris::3c9f068ddc930360bec6925488a9a97f"))
.collect()
.get(0)
.getTitle();
Assertions.assertEquals(1, titles.size());
Assertions.assertFalse(titles.get(0).getValue().toLowerCase().startsWith(prefix));
Assertions.assertTrue(titles.get(0).getValue().toLowerCase().contains(prefix.trim()));
Assertions.assertEquals("main title", titles.get(0).getQualifier().getClassid());
//original result with sobigdata in context and also other contexts with gcube as starting string for the main title
Assertions.assertEquals(1,
tmp.filter(p->p.getId().equals("50|DansKnawCris::4669a378a73661417182c208e6fdab53")).collect().get(0).getContext().size());
Assertions.assertEquals("dh-ch",tmp.filter(p->p.getId().equals("50|DansKnawCris::4669a378a73661417182c208e6fdab53")).collect().get(0).getContext().get(0).getId() );
titles = tmp.filter(p -> p.getId().equals("50|DansKnawCris::4669a378a73661417182c208e6fdab53")).collect().get(0).getTitle();
// original result with sobigdata in context and also other contexts with gcube as starting string for the main
// title
Assertions
.assertEquals(
1,
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::4669a378a73661417182c208e6fdab53"))
.collect()
.get(0)
.getContext()
.size());
Assertions
.assertEquals(
"dh-ch",
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::4669a378a73661417182c208e6fdab53"))
.collect()
.get(0)
.getContext()
.get(0)
.getId());
titles = tmp
.filter(p -> p.getId().equals("50|DansKnawCris::4669a378a73661417182c208e6fdab53"))
.collect()
.get(0)
.getTitle();
Assertions.assertEquals(1, titles.size());
Assertions.assertTrue(titles.get(0).getValue().toLowerCase().startsWith(prefix));
Assertions.assertEquals("main title", titles.get(0).getQualifier().getClassid());
// original result with multiple main title one of which whith gcube as starting string and with 2 contextes
Assertions.assertEquals(1,
tmp.filter(p->p.getId().equals("50|DansKnawCris::4a9152e80f860eab99072e921d74a0ff")).collect().get(0).getContext().size());
Assertions.assertEquals("dh-ch",tmp.filter(p->p.getId().equals("50|DansKnawCris::4a9152e80f860eab99072e921d74a0ff")).collect().get(0).getContext().get(0).getId() );
titles = tmp.filter(p -> p.getId().equals("50|DansKnawCris::4a9152e80f860eab99072e921d74a0ff")).collect().get(0).getTitle();
Assertions
.assertEquals(
1,
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::4a9152e80f860eab99072e921d74a0ff"))
.collect()
.get(0)
.getContext()
.size());
Assertions
.assertEquals(
"dh-ch",
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::4a9152e80f860eab99072e921d74a0ff"))
.collect()
.get(0)
.getContext()
.get(0)
.getId());
titles = tmp
.filter(p -> p.getId().equals("50|DansKnawCris::4a9152e80f860eab99072e921d74a0ff"))
.collect()
.get(0)
.getTitle();
Assertions.assertEquals(2, titles.size());
Assertions.assertTrue(titles.stream().anyMatch(t -> t.getQualifier().getClassid().equals("main title") && t.getValue().toLowerCase().startsWith(prefix)) );
Assertions
.assertTrue(
titles
.stream()
.anyMatch(
t -> t.getQualifier().getClassid().equals("main title")
&& t.getValue().toLowerCase().startsWith(prefix)));
// original result without sobigdata in context with gcube as starting string for the main title
Assertions.assertEquals(1,
tmp.filter(p->p.getId().equals("50|dedup_wf_001::01e6a28565ca01376b7548e530c6f6e8")).collect().get(0).getContext().size());
Assertions.assertEquals("dh-ch",tmp.filter(p->p.getId().equals("50|dedup_wf_001::01e6a28565ca01376b7548e530c6f6e8")).collect().get(0).getContext().get(0).getId() );
titles = tmp.filter(p -> p.getId().equals("50|dedup_wf_001::01e6a28565ca01376b7548e530c6f6e8")).collect().get(0).getTitle();
Assertions
.assertEquals(
1,
tmp
.filter(p -> p.getId().equals("50|dedup_wf_001::01e6a28565ca01376b7548e530c6f6e8"))
.collect()
.get(0)
.getContext()
.size());
Assertions
.assertEquals(
"dh-ch",
tmp
.filter(p -> p.getId().equals("50|dedup_wf_001::01e6a28565ca01376b7548e530c6f6e8"))
.collect()
.get(0)
.getContext()
.get(0)
.getId());
titles = tmp
.filter(p -> p.getId().equals("50|dedup_wf_001::01e6a28565ca01376b7548e530c6f6e8"))
.collect()
.get(0)
.getTitle();
Assertions.assertEquals(2, titles.size());
Assertions.assertTrue(titles.stream().anyMatch(t -> t.getQualifier().getClassid().equals("main title") && t.getValue().toLowerCase().startsWith(prefix)));
Assertions
.assertTrue(
titles
.stream()
.anyMatch(
t -> t.getQualifier().getClassid().equals("main title")
&& t.getValue().toLowerCase().startsWith(prefix)));
}
}