lsmyrnaios
/
dnet-hadoop
forked from D-Net/dnet-hadoop
1
0
Fork 0
Code Pull Requests Activity

[Clean Context] changed a bit the logic. Added the check not to have result hosted by a datasource of type institutional repository from NL. Added also the check that the country should have been included in the result via propagation for it to be removed

This commit is contained in:
Miriam Baglioni 2022-08-08 14:10:47 +02:00
parent 390013a4b2
commit 62d2138806
5 changed files with 315 additions and 270 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

231
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/country/CleanCountrySparkJob.java
View File

@ -1,15 +1,15 @@
package eu.dnetlib.dhp.oa.graph.clean.country; package eu.dnetlib.dhp.oa.graph.clean.country;
/** import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
* @author miriam.baglioni
* @Date 20/07/22 import java.io.Serializable;
*/ import java.util.List;
import java.util.Optional;
import java.util.stream.Collectors;
import javax.swing.text.html.Option;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.oa.graph.clean.CleanContextSparkJob;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
import org.apache.commons.io.IOUtils; import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf; import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction; import org.apache.spark.api.java.function.FilterFunction;
@ -21,128 +21,147 @@ import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger; import org.slf4j.Logger;
import org.slf4j.LoggerFactory; import org.slf4j.LoggerFactory;
import java.io.Serializable; /**
import java.util.List; * @author miriam.baglioni
import java.util.Optional; * @Date 20/07/22
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.oa.graph.clean.CleanContextSparkJob;
import eu.dnetlib.dhp.schema.oaf.Country;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
public class CleanCountrySparkJob implements Serializable { public class CleanCountrySparkJob implements Serializable {
private static final Logger log = LoggerFactory.getLogger(CleanCountrySparkJob.class); private static final Logger log = LoggerFactory.getLogger(CleanCountrySparkJob.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); 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 String jsonConfiguration = IOUtils
.toString( .toString(
CleanContextSparkJob.class CleanContextSparkJob.class
.getResourceAsStream( .getResourceAsStream(
"/eu/dnetlib/dhp/oa/graph/input_clean_country_parameters.json")); "/eu/dnetlib/dhp/oa/graph/input_clean_country_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration); final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args); parser.parseArgument(args);
Boolean isSparkSessionManaged = Optional Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged")) .ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf) .map(Boolean::valueOf)
.orElse(Boolean.TRUE); .orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged); log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
String inputPath = parser.get("inputPath"); String inputPath = parser.get("inputPath");
log.info("inputPath: {}", inputPath); log.info("inputPath: {}", inputPath);
String workingPath = parser.get("workingPath"); String workingPath = parser.get("workingPath");
log.info("workingPath: {}", workingPath); log.info("workingPath: {}", workingPath);
String datasourcePath = parser.get("datasourcePath"); String datasourcePath = parser.get("hostedBy");
log.info("datasourcePath: {}", datasourcePath); log.info("datasourcePath: {}", datasourcePath);
String country = parser.get("country"); String country = parser.get("country");
log.info("country: {}", country); log.info("country: {}", country);
String[] verifyParam = parser.get("verifyParam").split(";"); String[] verifyParam = parser.get("verifyParam").split(";");
log.info("verifyParam: {}", verifyParam); log.info("verifyParam: {}", verifyParam);
String collectedfrom = parser.get("collectedfrom"); String collectedfrom = parser.get("collectedfrom");
log.info("collectedfrom: {}", collectedfrom); log.info("collectedfrom: {}", collectedfrom);
String graphTableClassName = parser.get("graphTableClassName"); String graphTableClassName = parser.get("graphTableClassName");
log.info("graphTableClassName: {}", graphTableClassName); log.info("graphTableClassName: {}", graphTableClassName);
Class<? extends Result> entityClazz = (Class<? extends Result>) Class.forName(graphTableClassName); Class<? extends Result> entityClazz = (Class<? extends Result>) Class.forName(graphTableClassName);
SparkConf conf = new SparkConf(); SparkConf conf = new SparkConf();
runWithSparkSession( runWithSparkSession(
conf, conf,
isSparkSessionManaged, isSparkSessionManaged,
spark -> { spark -> {
cleanCountry(spark, country, verifyParam, inputPath, entityClazz, workingPath,collectedfrom, datasourcePath); cleanCountry(
}); spark, country, verifyParam, inputPath, entityClazz, workingPath, collectedfrom, datasourcePath);
} });
}
private static <T extends Result> void cleanCountry(SparkSession spark, String country, String[] verifyParam, private static <T extends Result> void cleanCountry(SparkSession spark, String country, String[] verifyParam,
String inputPath, Class<T> entityClazz, String workingPath, String collectedfrom, String datasourcePath) { String inputPath, Class<T> entityClazz, String workingPath, String collectedfrom, String datasourcePath) {
List<String> hostedBy = spark.read().textFile(datasourcePath) List<String> hostedBy = spark
// .filter((FilterFunction<String>) ds -> !ds.equals(collectedfrom)) .read()
.collectAsList(); .textFile(datasourcePath)
// .filter((FilterFunction<String>) ds -> !ds.equals(collectedfrom))
.collectAsList();
Dataset<T> res = spark Dataset<T> res = spark
.read() .read()
.textFile(inputPath) .textFile(inputPath)
.map( .map(
(MapFunction<String, T>) value -> OBJECT_MAPPER.readValue(value, entityClazz), (MapFunction<String, T>) value -> OBJECT_MAPPER.readValue(value, entityClazz),
Encoders.bean(entityClazz)) Encoders.bean(entityClazz));
;
res.map((MapFunction<T, T>) r -> { res.map((MapFunction<T, T>) r -> {
if(r.getInstance().stream().anyMatch(i -> hostedBy.contains(i.getHostedby().getKey())) || if (r.getInstance().stream().anyMatch(i -> hostedBy.contains(i.getHostedby().getKey())) ||
!r.getCollectedfrom().stream().anyMatch(cf -> cf.getValue().equals(collectedfrom))){ !r.getCollectedfrom().stream().anyMatch(cf -> cf.getValue().equals(collectedfrom))) {
return r; return r;
} }
if(r.getPid().stream().anyMatch(p -> p.getQualifier().getClassid().equals("doi") && pidInParam(p.getValue(), verifyParam)) if (r
&& r.getCountry().stream().anyMatch(c -> c.getClassid().equals(country) && c.getDataInfo().getInferenceprovenance().equals("propagation"))) .getPid()
{ r .stream()
.setCountry( .anyMatch(p -> p.getQualifier().getClassid().equals("doi") && pidInParam(p.getValue(), verifyParam))) {
r r
.getCountry() .setCountry(
.stream() r
.filter( .getCountry()
c -> !c.getClassid() .stream()
.equalsIgnoreCase(country)) .filter(
.collect(Collectors.toList())); c -> toTakeCountry(c, country))
.collect(Collectors.toList()));
} }
return r; return r;
}, Encoders.bean(entityClazz)) }, Encoders.bean(entityClazz))
.write() .write()
.mode(SaveMode.Overwrite) .mode(SaveMode.Overwrite)
.option("compression", "gzip") .option("compression", "gzip")
.json(workingPath); .json(workingPath);
spark spark
.read() .read()
.textFile(workingPath) .textFile(workingPath)
.map( .map(
(MapFunction<String, T>) value -> OBJECT_MAPPER.readValue(value, entityClazz), (MapFunction<String, T>) value -> OBJECT_MAPPER.readValue(value, entityClazz),
Encoders.bean(entityClazz)) Encoders.bean(entityClazz))
.write() .write()
.mode(SaveMode.Overwrite) .mode(SaveMode.Overwrite)
.option("compression", "gzip") .option("compression", "gzip")
.json(inputPath); .json(inputPath);
} }
private static boolean pidInParam(String value, String[] verifyParam) { private static boolean pidInParam(String value, String[] verifyParam) {
for (String s : verifyParam ) for (String s : verifyParam)
if (value.startsWith(s)) if (value.startsWith(s))
return true; return true;
return false; return false;
} }
private static boolean toTakeCountry(Country c, String country) {
// If dataInfo is not set, or dataInfo.inferenceprovenance is not set or not present then it cannot be
// inserted via propagation
if (!Optional.ofNullable(c.getDataInfo()).isPresent())
return true;
if (!Optional.ofNullable(c.getDataInfo().getInferenceprovenance()).isPresent())
return true;
return !(c
.getClassid()
.equalsIgnoreCase(country) &&
c.getDataInfo().getInferenceprovenance().equals("propagation"));
}
} }

139
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/country/GetDatasourceFromCountry.java
View File

@ -1,10 +1,12 @@
package eu.dnetlib.dhp.oa.graph.clean.country; package eu.dnetlib.dhp.oa.graph.clean.country;
import com.fasterxml.jackson.databind.ObjectMapper; import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.oa.graph.clean.CleanContextSparkJob; import java.io.Serializable;
import eu.dnetlib.dhp.schema.common.ModelConstants; import java.util.List;
import eu.dnetlib.dhp.schema.oaf.*; import java.util.Optional;
import org.apache.commons.io.IOUtils; import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf; import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction; import org.apache.spark.api.java.function.FilterFunction;
@ -15,85 +17,92 @@ import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession; import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger; import org.slf4j.Logger;
import org.slf4j.LoggerFactory; import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.oa.graph.clean.CleanContextSparkJob;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.*;
import scala.Tuple2; import scala.Tuple2;
import java.io.Serializable;
import java.util.List;
import java.util.Optional;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
/** /**
* @author miriam.baglioni * @author miriam.baglioni
* @Date 22/07/22 * @Date 22/07/22
*/ */
public class GetDatasourceFromCountry implements Serializable { public class GetDatasourceFromCountry implements Serializable {
private static final Logger log = LoggerFactory.getLogger(GetDatasourceFromCountry.class); private static final Logger log = LoggerFactory.getLogger(GetDatasourceFromCountry.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); 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 String jsonConfiguration = IOUtils
.toString( .toString(
GetDatasourceFromCountry.class GetDatasourceFromCountry.class
.getResourceAsStream( .getResourceAsStream(
"/eu/dnetlib/dhp/oa/graph/input_datasource_country_parameters.json")); "/eu/dnetlib/dhp/oa/graph/input_datasource_country_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration); final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args); parser.parseArgument(args);
Boolean isSparkSessionManaged = Optional Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged")) .ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf) .map(Boolean::valueOf)
.orElse(Boolean.TRUE); .orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged); log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
String inputPath = parser.get("inputPath"); String inputPath = parser.get("inputPath");
log.info("inputPath: {}", inputPath); log.info("inputPath: {}", inputPath);
String workingPath = parser.get("workingPath"); String workingPath = parser.get("workingPath");
log.info("workingPath: {}", workingPath); log.info("workingPath: {}", workingPath);
String country = parser.get("country"); String country = parser.get("country");
log.info("country: {}", country); log.info("country: {}", country);
SparkConf conf = new SparkConf(); SparkConf conf = new SparkConf();
runWithSparkSession( runWithSparkSession(
conf, conf,
isSparkSessionManaged, isSparkSessionManaged,
spark -> { spark -> {
getDatasourceFromCountry(spark, country, inputPath, workingPath); getDatasourceFromCountry(spark, country, inputPath, workingPath);
}); });
} }
private static void getDatasourceFromCountry(SparkSession spark, String country, String inputPath, String workingPath) { private static void getDatasourceFromCountry(SparkSession spark, String country, String inputPath,
String workingPath) {
Dataset<Organization> organization = spark.read().textFile(inputPath + "/organization") Dataset<Organization> organization = spark
.map( .read()
(MapFunction<String, Organization>) value -> OBJECT_MAPPER.readValue(value, Organization.class), .textFile(inputPath + "/organization")
Encoders.bean(Organization.class)) .map(
.filter( (MapFunction<String, Organization>) value -> OBJECT_MAPPER.readValue(value, Organization.class),
(FilterFunction<Organization>) o -> !o.getDataInfo().getDeletedbyinference() && Encoders.bean(Organization.class))
o.getCountry().getClassid().length() > 0 && .filter(
o.getCountry().getClassid().equals(country));; (FilterFunction<Organization>) o -> !o.getDataInfo().getDeletedbyinference() &&
o.getCountry().getClassid().length() > 0 &&
o.getCountry().getClassid().equals(country));
;
// filtering of the relations taking the non deleted by inference and those with IsProvidedBy as relclass
Dataset<Relation> relation = spark
.read()
.textFile(inputPath + "/relation")
.map(
(MapFunction<String, Relation>) value -> OBJECT_MAPPER.readValue(value, Relation.class),
Encoders.bean(Relation.class))
.filter(
(FilterFunction<Relation>) rel -> rel.getRelClass().equalsIgnoreCase(ModelConstants.IS_PROVIDED_BY) &&
!rel.getDataInfo().getDeletedbyinference());
// filtering of the relations taking the non deleted by inference and those with IsProvidedBy as relclass organization
Dataset<Relation> relation = spark.read().textFile( inputPath + "/relation") .joinWith(relation, organization.col("id").equalTo(relation.col("target")), "left")
.map( .map((MapFunction<Tuple2<Organization, Relation>, String>) t2 -> t2._2().getSource(), Encoders.STRING())
(MapFunction<String, Relation>) value -> OBJECT_MAPPER.readValue(value, Relation.class), .write()
Encoders.bean(Relation.class)) .mode(SaveMode.Overwrite)
.filter( .option("compression", "gzip")
(FilterFunction<Relation>) rel -> rel.getRelClass().equalsIgnoreCase(ModelConstants.IS_PROVIDED_BY) && .json(workingPath);
!rel.getDataInfo().getDeletedbyinference());
organization.joinWith(relation, organization.col("id").equalTo(relation.col("target")), "left") }
.map((MapFunction<Tuple2<Organization, Relation>, String>) t2 -> t2._2().getSource(), Encoders.STRING() )
.write()
.mode(SaveMode.Overwrite)
.option("compression","gzip")
.json(workingPath);
}
} }

212
dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/clean/CleanCountryTest.java
View File

@ -1,13 +1,10 @@
package eu.dnetlib.dhp.oa.graph.clean;
/**
* @author miriam.baglioni
* @Date 20/07/22
*/
import com.fasterxml.jackson.databind.ObjectMapper; package eu.dnetlib.dhp.oa.graph.clean;
import eu.dnetlib.dhp.oa.graph.clean.country.CleanCountrySparkJob;
import eu.dnetlib.dhp.oa.graph.dump.DumpJobTest; import java.io.IOException;
import eu.dnetlib.dhp.schema.oaf.Publication; import java.nio.file.Files;
import java.nio.file.Path;
import org.apache.commons.io.FileUtils; import org.apache.commons.io.FileUtils;
import org.apache.spark.SparkConf; import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD; import org.apache.spark.api.java.JavaRDD;
@ -22,113 +19,132 @@ import org.junit.jupiter.api.Test;
import org.slf4j.Logger; import org.slf4j.Logger;
import org.slf4j.LoggerFactory; import org.slf4j.LoggerFactory;
import java.io.IOException; /**
import java.nio.file.Files; * @author miriam.baglioni
import java.nio.file.Path; * @Date 20/07/22
*/
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.oa.graph.clean.country.CleanCountrySparkJob;
import eu.dnetlib.dhp.schema.oaf.Publication;
public class CleanCountryTest { public class CleanCountryTest {
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 Path workingDir;
private static final Logger log = LoggerFactory.getLogger(CleanContextTest.class); private static final Logger log = LoggerFactory.getLogger(CleanContextTest.class);
@BeforeAll @BeforeAll
public static void beforeAll() throws IOException { public static void beforeAll() throws IOException {
workingDir = Files.createTempDirectory(DumpJobTest.class.getSimpleName()); workingDir = Files.createTempDirectory(CleanCountryTest.class.getSimpleName());
log.info("using work dir {}", workingDir); log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf(); SparkConf conf = new SparkConf();
conf.setAppName(DumpJobTest.class.getSimpleName()); conf.setAppName(CleanCountryTest.class.getSimpleName());
conf.setMaster("local[*]"); conf.setMaster("local[*]");
conf.set("spark.driver.host", "localhost"); conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true"); conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false"); conf.set("spark.ui.enabled", "false");
conf.set("spark.sql.warehouse.dir", workingDir.toString()); conf.set("spark.sql.warehouse.dir", workingDir.toString());
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString()); conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession spark = SparkSession
.builder() .builder()
.appName(DumpJobTest.class.getSimpleName()) .appName(CleanCountryTest.class.getSimpleName())
.config(conf) .config(conf)
.getOrCreate(); .getOrCreate();
} }
@AfterAll @AfterAll
public static void afterAll() throws IOException { public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile()); FileUtils.deleteDirectory(workingDir.toFile());
spark.stop(); spark.stop();
} }
@Test @Test
public void testResultClean() throws Exception { public void testResultClean() throws Exception {
final String sourcePath = getClass() final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/clean/publication_clean_country.json") .getResource("/eu/dnetlib/dhp/oa/graph/clean/publication_clean_country.json")
.getPath(); .getPath();
final String prefix = "gcube ";
spark spark
.read() .read()
.textFile(sourcePath) .textFile(sourcePath)
.map( .map(
(MapFunction<String, Publication>) r -> OBJECT_MAPPER.readValue(r, Publication.class), (MapFunction<String, Publication>) r -> OBJECT_MAPPER.readValue(r, Publication.class),
Encoders.bean(Publication.class)) Encoders.bean(Publication.class))
.write() .write()
.json(workingDir.toString() + "/publication"); .json(workingDir.toString() + "/publication");
CleanCountrySparkJob.main(new String[] { CleanCountrySparkJob.main(new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(), "--isSparkSessionManaged", Boolean.FALSE.toString(),
"--inputPath", workingDir.toString() + "/publication", "--inputPath", workingDir.toString() + "/publication",
"-graphTableClassName", Publication.class.getCanonicalName(), "-graphTableClassName", Publication.class.getCanonicalName(),
"-workingPath", workingDir.toString() + "/working", "-workingPath", workingDir.toString() + "/working",
"-country", "NL", "-country", "NL",
"-verifyParam", "10.17632", "-verifyParam", "10.17632",
"-collectedfrom", "NARCIS" "-collectedfrom", "NARCIS",
}); "-hostedBy", getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/clean/hostedBy")
.getPath()
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext()); final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Publication> tmp = sc JavaRDD<Publication> tmp = sc
.textFile(workingDir.toString() + "/publication") .textFile(workingDir.toString() + "/publication")
.map(item -> OBJECT_MAPPER.readValue(item, Publication.class)); .map(item -> OBJECT_MAPPER.readValue(item, Publication.class));
Assertions.assertEquals(7, tmp.count()); Assertions.assertEquals(8, tmp.count());
// original result with NL country and doi starting with Mendely prefix, but not collectedfrom NARCIS // original result with NL country and doi starting with Mendely prefix, but not collectedfrom NARCIS
Assertions Assertions
.assertEquals( .assertEquals(
1, 1,
tmp tmp
.filter(p -> p.getId().equals("50|DansKnawCris::0224aae28af558f21768dbc6439c7a95")) .filter(p -> p.getId().equals("50|DansKnawCris::0224aae28af558f21768dbc6439c7a95"))
.collect() .collect()
.get(0) .get(0)
.getCountry() .getCountry()
.size()); .size());
// original result with NL country and pid not starting with Mendely prefix // original result with NL country and pid not starting with Mendely prefix
Assertions Assertions
.assertEquals( .assertEquals(
1, 1,
tmp tmp
.filter(p -> p.getId().equals("50|DansKnawCris::20c414a3b1c742d5dd3851f1b67df2d9")) .filter(p -> p.getId().equals("50|DansKnawCris::20c414a3b1c742d5dd3851f1b67df2d9"))
.collect() .collect()
.get(0) .get(0)
.getCountry() .getCountry()
.size()); .size());
// original result with NL country and doi starting with Mendely prefix and collectedfrom NARCIS // original result with NL country and doi starting with Mendely prefix and collectedfrom NARCIS but not
Assertions // inserted with propagation
.assertEquals( Assertions
0, .assertEquals(
tmp 1,
.filter(p -> p.getId().equals("50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6af")) tmp
.collect() .filter(p -> p.getId().equals("50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6af"))
.get(0) .collect()
.getCountry() .get(0)
.size()); .getCountry()
} .size());
// original result with NL country and doi starting with Mendely prefix and collectedfrom NARCIS inserted with
// propagation
Assertions
.assertEquals(
0,
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6ag"))
.collect()
.get(0)
.getCountry()
.size());
}
} }

0
dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/clean/hostedBy Normal file
View File

1
dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/clean/publication_clean_country.json
View File

File diff suppressed because one or more lines are too long