master #59

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claudio.atzori wants to merge 3221 commits from master into stable_ids
15 changed files with 741 additions and 1 deletions
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@ -5,7 +5,6 @@ import java.util.ArrayList;
import java.util.List; import java.util.List;
import java.util.Optional; import java.util.Optional;
import org.apache.hadoop.conf.Configuration;
import org.apache.spark.api.java.function.MapFunction; import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Dataset; import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders; import org.apache.spark.sql.Encoders;
@ -72,6 +71,9 @@ public class PropagationConstant {
public static final String PROPAGATION_RESULT_COMMUNITY_ORGANIZATION_CLASS_ID = "result:community:organization"; public static final String PROPAGATION_RESULT_COMMUNITY_ORGANIZATION_CLASS_ID = "result:community:organization";
public static final String PROPAGATION_RESULT_COMMUNITY_ORGANIZATION_CLASS_NAME = " Propagation of result belonging to community through organization"; public static final String PROPAGATION_RESULT_COMMUNITY_ORGANIZATION_CLASS_NAME = " Propagation of result belonging to community through organization";
public static final String PROPAGATION_RESULT_COMMUNITY_PROJECT_CLASS_ID = "result:community:project";
public static final String PROPAGATION_RESULT_COMMUNITY_PROJECT_CLASS_NAME = " Propagation of result belonging to community through project";
public static final String PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_ID = "authorpid:result"; public static final String PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_ID = "authorpid:result";
public static final String PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_NAME = "Propagation of authors pid to result through semantic relations"; public static final String PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_NAME = "Propagation of authors pid to result through semantic relations";

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@ -0,0 +1,124 @@
package eu.dnetlib.dhp.resulttocommunityfromproject;
import static eu.dnetlib.dhp.PropagationConstant.*;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.*;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.compress.GzipCodec;
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.*;
import org.apache.spark.sql.types.DataTypes;
import org.apache.spark.sql.types.StructType;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.google.gson.Gson;
import eu.dnetlib.dhp.api.Utils;
import eu.dnetlib.dhp.api.model.CommunityEntityMap;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.resulttocommunityfromorganization.ResultCommunityList;
import eu.dnetlib.dhp.resulttocommunityfromorganization.ResultOrganizations;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Relation;
import scala.Tuple2;
public class PrepareResultCommunitySet {
private static final Logger log = LoggerFactory.getLogger(PrepareResultCommunitySet.class);
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
PrepareResultCommunitySet.class
.getResourceAsStream(
"/eu/dnetlib/dhp/resulttocommunityfromproject/input_preparecommunitytoresult_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
String inputPath = parser.get("sourcePath");
log.info("inputPath: {}", inputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final boolean production = Boolean.valueOf(parser.get("production"));
log.info("production: {}", production);
final CommunityEntityMap projectsMap = Utils.getCommunityProjects(production);
// log.info("projectsMap: {}", new Gson().toJson(projectsMap));
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
removeOutputDir(spark, outputPath);
prepareInfo(spark, inputPath, outputPath, projectsMap);
});
}
private static void prepareInfo(
SparkSession spark,
String inputPath,
String outputPath,
CommunityEntityMap projectMap) {
final StructType structureSchema = new StructType()
.add(
"dataInfo", new StructType()
.add("deletedbyinference", DataTypes.BooleanType)
.add("invisible", DataTypes.BooleanType))
.add("source", DataTypes.StringType)
.add("target", DataTypes.StringType)
.add("relClass", DataTypes.StringType);
spark
.read()
.schema(structureSchema)
.json(inputPath)
.filter(
"dataInfo.deletedbyinference != true " +
"and relClass == '" + ModelConstants.IS_PRODUCED_BY + "'")
.select(
new Column("source").as("resultId"),
new Column("target").as("projectId"))
.groupByKey((MapFunction<Row, String>) r -> (String) r.getAs("resultId"), Encoders.STRING())
.mapGroups((MapGroupsFunction<String, Row, ResultProjectList>) (k, v) -> {
ResultProjectList rpl = new ResultProjectList();
rpl.setResultId(k);
ArrayList<String> cl = new ArrayList<>();
cl.addAll(projectMap.get(v.next().getAs("projectId")));
v.forEachRemaining(r -> {
projectMap
.get(r.getAs("projectId"))
.forEach(c -> {
if (!cl.contains(c))
cl.add(c);
});
});
if (cl.size() == 0)
return null;
rpl.setCommunityList(cl);
return rpl;
}, Encoders.bean(ResultProjectList.class))
.filter(Objects::nonNull)
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath);
}
}

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@ -0,0 +1,26 @@
package eu.dnetlib.dhp.resulttocommunityfromproject;
import java.io.Serializable;
import java.util.ArrayList;
public class ResultProjectList implements Serializable {
private String resultId;
private ArrayList<String> communityList;
public String getResultId() {
return resultId;
}
public void setResultId(String resultId) {
this.resultId = resultId;
}
public ArrayList<String> getCommunityList() {
return communityList;
}
public void setCommunityList(ArrayList<String> communityList) {
this.communityList = communityList;
}
}

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@ -0,0 +1,163 @@
package eu.dnetlib.dhp.resulttocommunityfromproject;
import static eu.dnetlib.dhp.PropagationConstant.*;
import static eu.dnetlib.dhp.PropagationConstant.PROPAGATION_RESULT_COMMUNITY_ORGANIZATION_CLASS_NAME;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Arrays;
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;
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 eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.resulttocommunityfromorganization.ResultCommunityList;
import eu.dnetlib.dhp.resulttocommunityfromorganization.SparkResultToCommunityFromOrganizationJob;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.Context;
import eu.dnetlib.dhp.schema.oaf.Result;
import scala.Tuple2;
/**
* @author miriam.baglioni
* @Date 11/10/23
*/
public class SparkResultToCommunityFromProject implements Serializable {
private static final Logger log = LoggerFactory.getLogger(SparkResultToCommunityFromProject.class);
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
SparkResultToCommunityFromProject.class
.getResourceAsStream(
"/eu/dnetlib/dhp/resulttocommunityfromproject/input_communitytoresult_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
String inputPath = parser.get("sourcePath");
log.info("inputPath: {}", inputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final String possibleupdatespath = parser.get("preparedInfoPath");
log.info("preparedInfoPath: {}", possibleupdatespath);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
execPropagation(spark, inputPath, outputPath, possibleupdatespath);
});
}
private static <R extends Result> void execPropagation(
SparkSession spark,
String inputPath,
String outputPath,
String possibleUpdatesPath) {
Dataset<ResultProjectList> possibleUpdates = readPath(spark, possibleUpdatesPath, ResultProjectList.class);
ModelSupport.entityTypes
.keySet()
.parallelStream()
.forEach(e -> {
if (ModelSupport.isResult(e)) {
removeOutputDir(spark, outputPath + e.name());
Class<R> resultClazz = ModelSupport.entityTypes.get(e);
Dataset<R> result = readPath(spark, inputPath + e.name(), resultClazz);
result
.joinWith(
possibleUpdates,
result.col("id").equalTo(possibleUpdates.col("resultId")),
"left_outer")
.map(resultCommunityFn(), Encoders.bean(resultClazz))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath + e.name());
}
});
}
private static <R extends Result> MapFunction<Tuple2<R, ResultProjectList>, R> resultCommunityFn() {
return value -> {
R ret = value._1();
Optional<ResultProjectList> rcl = Optional.ofNullable(value._2());
if (rcl.isPresent()) {
// ArrayList<String> communitySet = rcl.get().getCommunityList();
List<String> contextList = ret
.getContext()
.stream()
.map(Context::getId)
.collect(Collectors.toList());
@SuppressWarnings("unchecked")
R res = (R) ret.getClass().newInstance();
res.setId(ret.getId());
List<Context> propagatedContexts = new ArrayList<>();
for (String cId : rcl.get().getCommunityList()) {
if (!contextList.contains(cId)) {
Context newContext = new Context();
newContext.setId(cId);
newContext
.setDataInfo(
Arrays
.asList(
getDataInfo(
PROPAGATION_DATA_INFO_TYPE,
PROPAGATION_RESULT_COMMUNITY_PROJECT_CLASS_ID,
PROPAGATION_RESULT_COMMUNITY_PROJECT_CLASS_NAME,
ModelConstants.DNET_PROVENANCE_ACTIONS)));
propagatedContexts.add(newContext);
} else {
ret
.getContext()
.stream()
.filter(c -> c.getId().equals(cId))
.findFirst()
.get()
.getDataInfo()
.add(
getDataInfo(
PROPAGATION_DATA_INFO_TYPE,
PROPAGATION_RESULT_COMMUNITY_PROJECT_CLASS_ID,
PROPAGATION_RESULT_COMMUNITY_PROJECT_CLASS_NAME,
ModelConstants.DNET_PROVENANCE_ACTIONS));
}
}
res.setContext(propagatedContexts);
ret.mergeFrom(res);
}
return ret;
};
}
}

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@ -0,0 +1,28 @@
[
{
"paramName":"s",
"paramLongName":"sourcePath",
"paramDescription": "the path of the sequencial file to read",
"paramRequired": true
},
{
"paramName": "out",
"paramLongName": "outputPath",
"paramDescription": "the path used to store temporary output files",
"paramRequired": true
},
{
"paramName": "ssm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "true if the spark session is managed, false otherwise",
"paramRequired": false
},
{
"paramName": "p",
"paramLongName": "preparedInfoPath",
"paramDescription": "the path where prepared info have been stored",
"paramRequired": true
}
]

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@ -0,0 +1,28 @@
[
{
"paramName":"s",
"paramLongName":"sourcePath",
"paramDescription": "the path of the sequencial file to read",
"paramRequired": true
},
{
"paramName": "ssm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "true if the spark session is managed, false otherwise",
"paramRequired": false
},
{
"paramName": "out",
"paramLongName": "outputPath",
"paramDescription": "the path used to store temporary output files",
"paramRequired": true
},
{
"paramName": "p",
"paramLongName": "production",
"paramDescription": "the path used to store temporary output files",
"paramRequired": true
}
]

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@ -0,0 +1,58 @@
<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>oozie.action.sharelib.for.spark</name>
<value>spark2</value>
</property>
<property>
<name>hive_metastore_uris</name>
<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
</property>
<property>
<name>spark2YarnHistoryServerAddress</name>
<value>http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089</value>
</property>
<property>
<name>spark2EventLogDir</name>
<value>/user/spark/spark2ApplicationHistory</value>
</property>
<property>
<name>spark2ExtraListeners</name>
<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
</property>
<property>
<name>spark2SqlQueryExecutionListeners</name>
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
</property>
<property>
<name>sparkExecutorNumber</name>
<value>4</value>
</property>
<property>
<name>sparkDriverMemory</name>
<value>15G</value>
</property>
<property>
<name>sparkExecutorMemory</name>
<value>6G</value>
</property>
<property>
<name>sparkExecutorCores</name>
<value>1</value>
</property>
<property>
<name>spark2MaxExecutors</name>
<value>50</value>
</property>
</configuration>

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@ -0,0 +1,144 @@
<workflow-app name="community_to_result_propagation_project" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>sourcePath</name>
<description>the source path</description>
</property>
<property>
<name>outputPath</name>
<description>the output path</description>
</property>
</parameters>
<global>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>${oozieActionShareLibForSpark2}</value>
</property>
</configuration>
</global>
<start to="reset_outputpath"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="reset_outputpath">
<fs>
<delete path="${outputPath}"/>
<mkdir path="${outputPath}"/>
</fs>
<ok to="copy_entities"/>
<error to="Kill"/>
</action>
<fork name="copy_entities">
<path start="copy_relation"/>
<path start="copy_organization"/>
<path start="copy_projects"/>
<path start="copy_datasources"/>
</fork>
<action name="copy_relation">
<distcp xmlns="uri:oozie:distcp-action:0.2">
<arg>${nameNode}/${sourcePath}/relation</arg>
<arg>${nameNode}/${outputPath}/relation</arg>
</distcp>
<ok to="copy_wait"/>
<error to="Kill"/>
</action>
<action name="copy_organization">
<distcp xmlns="uri:oozie:distcp-action:0.2">
<arg>${nameNode}/${sourcePath}/organization</arg>
<arg>${nameNode}/${outputPath}/organization</arg>
</distcp>
<ok to="copy_wait"/>
<error to="Kill"/>
</action>
<action name="copy_projects">
<distcp xmlns="uri:oozie:distcp-action:0.2">
<arg>${nameNode}/${sourcePath}/project</arg>
<arg>${nameNode}/${outputPath}/project</arg>
</distcp>
<ok to="copy_wait"/>
<error to="Kill"/>
</action>
<action name="copy_datasources">
<distcp xmlns="uri:oozie:distcp-action:0.2">
<arg>${nameNode}/${sourcePath}/datasource</arg>
<arg>${nameNode}/${outputPath}/datasource</arg>
</distcp>
<ok to="copy_wait"/>
<error to="Kill"/>
</action>
<join name="copy_wait" to="prepare_result_communitylist"/>
<action name="prepare_result_communitylist">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Prepare-Community-Result-Organization</name>
<class>eu.dnetlib.dhp.resulttocommunityfromproject.PrepareResultCommunitySet</class>
<jar>dhp-enrichment-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=6
--executor-memory=5G
--conf spark.executor.memoryOverhead=3g
--conf spark.sql.shuffle.partitions=3284
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/relation</arg>
<arg>--outputPath</arg><arg>${workingDir}/preparedInfo/resultCommunityList</arg>
<arg>--production</arg><arg>${production}</arg>
</spark>
<ok to="exec-propagation"/>
<error to="Kill"/>
</action>
<action name="exec-propagation">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>community2resultfromproject</name>
<class>eu.dnetlib.dhp.resulttocommunityfromproject.SparkResultToCommunityFromProject</class>
<jar>dhp-enrichment-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=6
--executor-memory=5G
--conf spark.executor.memoryOverhead=3g
--conf spark.sql.shuffle.partitions=3284
--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.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
</spark-opts>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo/resultCommunityList</arg>
<arg>--sourcePath</arg><arg>${sourcePath}/</arg>
<arg>--outputPath</arg><arg>${outputPath}/</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

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package eu.dnetlib.dhp.resulttocommunityfromproject;
import static org.apache.spark.sql.functions.desc;
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.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
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.orcidtoresultfromsemrel.OrcidPropagationJobTest;
import eu.dnetlib.dhp.resulttocommunityfromorganization.SparkResultToCommunityFromOrganizationJob;
import eu.dnetlib.dhp.schema.oaf.Context;
import eu.dnetlib.dhp.schema.oaf.Dataset;
public class ResultToCommunityJobTest {
private static final Logger log = LoggerFactory.getLogger(ResultToCommunityJobTest.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files.createTempDirectory(ResultToCommunityJobTest.class.getSimpleName());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(ResultToCommunityJobTest.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(OrcidPropagationJobTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
void testSparkResultToCommunityFromProjectJob() throws Exception {
final String preparedInfoPath = getClass()
.getResource("/eu/dnetlib/dhp/resulttocommunityfromproject/preparedInfo")
.getPath();
SparkResultToCommunityFromProject
.main(
new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(),
"-sourcePath", getClass()
.getResource("/eu/dnetlib/dhp/resulttocommunityfromproject/sample/")
.getPath(),
"-outputPath", workingDir.toString() + "/",
"-preparedInfoPath", preparedInfoPath
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Dataset> tmp = sc
.textFile(workingDir.toString() + "/dataset")
.map(item -> OBJECT_MAPPER.readValue(item, Dataset.class));
Assertions.assertEquals(10, tmp.count());
/**
* {"resultId":"50|57a035e5b1ae::d5be548ca7ae489d762f893be67af52f","communityList":["aurora"]}
* {"resultId":"50|57a035e5b1ae::a77232ffca9115fcad51c3503dbc7e3e","communityList":["aurora"]}
* {"resultId":"50|57a035e5b1ae::803aaad4decab7e27cd4b52a1931b3a1","communityList":["sdsn-gr"]}
* {"resultId":"50|57a035e5b1ae::a02e9e4087bca50687731ae5c765b5e1","communityList":["netherlands"]}
*/
List<Context> context = tmp
.filter(r -> r.getId().equals("50|57a035e5b1ae::d5be548ca7ae489d762f893be67af52f"))
.first()
.getContext();
Assertions.assertTrue(context.stream().anyMatch(c -> containsResultCommunityProject(c)));
context = tmp
.filter(r -> r.getId().equals("50|57a035e5b1ae::a77232ffca9115fcad51c3503dbc7e3e"))
.first()
.getContext();
Assertions.assertTrue(context.stream().anyMatch(c -> containsResultCommunityProject(c)));
Assertions
.assertEquals(
0, tmp.filter(r -> r.getId().equals("50|57a035e5b1ae::803aaad4decab7e27cd4b52a1931b3a1")).count());
Assertions
.assertEquals(
0, tmp.filter(r -> r.getId().equals("50|57a035e5b1ae::a02e9e4087bca50687731ae5c765b5e1")).count());
Assertions
.assertEquals(
2, tmp.filter(r -> r.getContext().stream().anyMatch(c -> c.getId().equals("aurora"))).count());
}
private static boolean containsResultCommunityProject(Context c) {
return c
.getDataInfo()
.stream()
.anyMatch(di -> di.getProvenanceaction().getClassid().equals("result:community:project"));
}
}

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{"resultId":"50|57a035e5b1ae::d5be548ca7ae489d762f893be67af52f","communityList":["aurora"]}
{"resultId":"50|57a035e5b1ae::a77232ffca9115fcad51c3503dbc7e3e","communityList":["aurora"]}
{"resultId":"50|57a035e5b1ae::803aaad4decab7e27cd4b52a1931b3a1","communityList":["sdsn-gr"]}
{"resultId":"50|57a035e5b1ae::a02e9e4087bca50687731ae5c765b5e1","communityList":["netherlands"]}

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