[EOSCTag] added resources and finalized test for Jupyter Notebook tagging

dhp-workflows/dhp-enrichment/src/test/java/eu/dnetlib/dhp/bulktag/EOSCTagJobTest.java

@@ -2,15 +2,13 @@
 package eu.dnetlib.dhp.bulktag;
 
 import com.fasterxml.jackson.databind.ObjectMapper;
-import eu.dnetlib.dhp.schema.oaf.Dataset;
+import eu.dnetlib.dhp.schema.oaf.*;
-import eu.dnetlib.dhp.schema.oaf.OtherResearchProduct;
-import eu.dnetlib.dhp.schema.oaf.Publication;
-import eu.dnetlib.dhp.schema.oaf.Software;
 import org.apache.commons.io.FileUtils;
 import org.apache.commons.io.IOUtils;
 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.sql.Encoders;
 import org.apache.spark.sql.Row;
 import org.apache.spark.sql.SparkSession;
@@ -24,6 +22,7 @@ import org.slf4j.LoggerFactory;
 import java.io.IOException;
 import java.nio.file.Files;
 import java.nio.file.Path;
+import java.util.List;
 
 import static eu.dnetlib.dhp.bulktag.community.TaggingConstants.ZENODO_COMMUNITY_INDICATOR;
 
@@ -31,13 +30,7 @@ public class EOSCTagJobTest {
 
 	private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
 
-	public static final String MOCK_IS_LOOK_UP_URL = "BASEURL:8280/is/services/isLookUp";
 
-	public static final String pathMap = "{ \"author\" : \"$['author'][*]['fullname']\","
-		+ "  \"title\" : \"$['title'][*]['value']\","
-		+ "  \"orcid\" : \"$['author'][*]['pid'][*][?(@['key']=='ORCID')]['value']\","
-		+ "  \"contributor\" : \"$['contributor'][*]['value']\","
-		+ "  \"description\" : \"$['description'][*]['value']\"}";
 
 	private static SparkSession spark;
 
@@ -45,19 +38,6 @@ public class EOSCTagJobTest {
 
 	private static final Logger log = LoggerFactory.getLogger(EOSCTagJobTest.class);
 
-	private static String taggingConf = "";
-
-	static {
-		try {
-			taggingConf = IOUtils
-				.toString(
-					EOSCTagJobTest.class
-						.getResourceAsStream(
-							"/eu/dnetlib/dhp/bulktag/communityconfiguration/tagging_conf.xml"));
-		} catch (IOException e) {
-			e.printStackTrace();
-		}
-	}
 
 	@BeforeAll
 	public static void beforeAll() throws IOException {
@@ -88,683 +68,102 @@ public class EOSCTagJobTest {
 	}
 
 	@Test
-	void noUpdatesTest() throws Exception {
+	void jupyterUpdatesTest() throws Exception {
-		final String pathMap = EOSCTagJobTest.pathMap;
+
-		SparkBulkTagJob
+		spark.read().textFile(getClass().getResource("/eu/dnetlib/dhp/eosctag/jupyter/software").getPath())
+				.map((MapFunction<String, Software>) value -> OBJECT_MAPPER.readValue(value, Software.class), Encoders.bean(Software.class))
+				.write()
+				.option("compression","gzip")
+				.json(workingDir.toString() + "/input/software");
+
+		spark.read().textFile(getClass().getResource("/eu/dnetlib/dhp/eosctag/jupyter/dataset").getPath())
+				.map((MapFunction<String, Dataset>) value -> OBJECT_MAPPER.readValue(value, Dataset.class), Encoders.bean(Dataset.class))
+				.write()
+				.option("compression","gzip")
+				.json(workingDir.toString() + "/input/dataset");
+
+		spark.read().textFile(getClass().getResource("/eu/dnetlib/dhp/eosctag/jupyter/otherresearchproduct").getPath())
+				.map((MapFunction<String, OtherResearchProduct>) value -> OBJECT_MAPPER.readValue(value, OtherResearchProduct.class), Encoders.bean(OtherResearchProduct.class))
+				.write()
+				.option("compression","gzip")
+				.json(workingDir.toString() + "/input/otherresearchproduct");
+
+		SparkEoscTag
 			.main(
 				new String[] {
-					"-isTest", Boolean.TRUE.toString(),
 					"-isSparkSessionManaged", Boolean.FALSE.toString(),
 					"-sourcePath",
-					getClass().getResource("/eu/dnetlib/dhp/bulktag/sample/dataset/no_updates").getPath(),
+					workingDir.toString() + "/input",
-					"-taggingConf", taggingConf,
+					"-workingPath", workingDir.toString() + "/working"
-					"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Dataset",
-					"-outputPath", workingDir.toString() + "/dataset",
-					"-isLookUpUrl", MOCK_IS_LOOK_UP_URL,
-					"-pathMap", pathMap
-				});
 
-		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());
-		org.apache.spark.sql.Dataset<Dataset> verificationDataset = spark
-			.createDataset(tmp.rdd(), Encoders.bean(Dataset.class));
-
-		verificationDataset.createOrReplaceTempView("dataset");
-
-		String query = "select id, MyT.id community "
-			+ "from dataset "
-			+ "lateral view explode(context) c as MyT "
-			+ "lateral view explode(MyT.datainfo) d as MyD "
-			+ "where MyD.inferenceprovenance = 'bulktagging'";
-
-		Assertions.assertEquals(0, spark.sql(query).count());
-	}
-
-	@Test
-	void bulktagBySubjectNoPreviousContextTest() throws Exception {
-		final String sourcePath = getClass()
-			.getResource("/eu/dnetlib/dhp/bulktag/sample/dataset/update_subject/nocontext")
-			.getPath();
-		final String pathMap = EOSCTagJobTest.pathMap;
-		SparkBulkTagJob
-			.main(
-				new String[] {
-					"-isTest", Boolean.TRUE.toString(),
-					"-isSparkSessionManaged", Boolean.FALSE.toString(),
-					"-sourcePath", sourcePath,
-					"-taggingConf", taggingConf,
-					"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Dataset",
-					"-outputPath", workingDir.toString() + "/dataset",
-					"-isLookUpUrl", MOCK_IS_LOOK_UP_URL,
-					"-pathMap", pathMap
-				});
-
-		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());
-		org.apache.spark.sql.Dataset<Dataset> verificationDataset = spark
-			.createDataset(tmp.rdd(), Encoders.bean(Dataset.class));
-
-		verificationDataset.createOrReplaceTempView("dataset");
-
-		String query = "select id, MyT.id community, MyD.provenanceaction.classid provenance, MyD.provenanceaction.classname name "
-			+ "from dataset "
-			+ "lateral view explode(context) c as MyT "
-			+ "lateral view explode(MyT.datainfo) d as MyD "
-			+ "where MyD.inferenceprovenance = 'bulktagging'";
-
-		Assertions.assertEquals(5, spark.sql(query).count());
-
-		org.apache.spark.sql.Dataset<Row> idExplodeCommunity = spark.sql(query);
-		Assertions
-			.assertEquals(
-				5, idExplodeCommunity.filter("provenance = 'community:subject'").count());
-		Assertions
-			.assertEquals(
-				5,
-				idExplodeCommunity.filter("name = 'Bulktagging for Community - Subject'").count());
-
-		Assertions.assertEquals(2, idExplodeCommunity.filter("community = 'covid-19'").count());
-		Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'mes'").count());
-		Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'fam'").count());
-		Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'aginfra'").count());
-
-		Assertions
-			.assertEquals(
-				1,
-				idExplodeCommunity
-					.filter("id = '50|od______3989::02dd5d2c222191b0b9bd4f33c8e96529'")
-					.count());
-		Assertions
-			.assertEquals(
-				1,
-				idExplodeCommunity
-					.filter(
-						"community = 'covid-19' and id = '50|od______3989::02dd5d2c222191b0b9bd4f33c8e96529'")
-					.count());
-
-		Assertions
-			.assertEquals(
-				2,
-				idExplodeCommunity
-					.filter("id = '50|od______3989::05d8c751462f9bb8d2b06956dfbc5c7b'")
-					.count());
-		Assertions
-			.assertEquals(
-				2,
-				idExplodeCommunity
-					.filter(
-						"(community = 'covid-19' or community = 'aginfra') and id = '50|od______3989::05d8c751462f9bb8d2b06956dfbc5c7b'")
-					.count());
-
-		Assertions
-			.assertEquals(
-				2,
-				idExplodeCommunity
-					.filter("id = '50|od______3989::0f89464c4ac4c398fe0c71433b175a62'")
-					.count());
-		Assertions
-			.assertEquals(
-				2,
-				idExplodeCommunity
-					.filter(
-						"(community = 'mes' or community = 'fam') and id = '50|od______3989::0f89464c4ac4c398fe0c71433b175a62'")
-					.count());
-	}
-
-	@Test
-	void bulktagBySubjectPreviousContextNoProvenanceTest() throws Exception {
-		final String sourcePath = getClass()
-			.getResource(
-				"/eu/dnetlib/dhp/bulktag/sample/dataset/update_subject/contextnoprovenance")
-			.getPath();
-		final String pathMap = EOSCTagJobTest.pathMap;
-		SparkBulkTagJob
-			.main(
-				new String[] {
-					"-isTest", Boolean.TRUE.toString(),
-					"-isSparkSessionManaged", Boolean.FALSE.toString(),
-					"-sourcePath", sourcePath,
-					"-taggingConf", taggingConf,
-					"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Dataset",
-					"-outputPath", workingDir.toString() + "/dataset",
-					"-isLookUpUrl", MOCK_IS_LOOK_UP_URL,
-					"-pathMap", pathMap
-				});
-
-		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
-
-		JavaRDD<Dataset> tmp = sc
-			.textFile(workingDir.toString() + "/dataset")
-			.map(item -> OBJECT_MAPPER.readValue(item, Dataset.class));
-
-		Assertions.assertEquals(10, tmp.count());
-		org.apache.spark.sql.Dataset<Dataset> verificationDataset = spark
-			.createDataset(tmp.rdd(), Encoders.bean(Dataset.class));
-
-		verificationDataset.createOrReplaceTempView("dataset");
-
-		String query = "select id, MyT.id community, MyD.provenanceaction.classid provenance "
-			+ "from dataset "
-			+ "lateral view explode(context) c as MyT "
-			+ "lateral view explode(MyT.datainfo) d as MyD "
-			+ "where MyT.id = 'covid-19' ";
-
-		Assertions.assertEquals(3, spark.sql(query).count());
-
-		org.apache.spark.sql.Dataset<Row> communityContext = spark.sql(query);
-
-		Assertions
-			.assertEquals(
-				2,
-				communityContext
-					.filter("id = '50|od______3989::02dd5d2c222191b0b9bd4f33c8e96529'")
-					.count());
-		Assertions
-			.assertEquals(
-				1,
-				communityContext
-					.filter(
-						"id = '50|od______3989::02dd5d2c222191b0b9bd4f33c8e96529' and provenance = 'community:subject'")
-					.count());
-		Assertions
-			.assertEquals(
-				1,
-				communityContext
-					.filter(
-						"id = '50|od______3989::02dd5d2c222191b0b9bd4f33c8e96529' and provenance = 'propagation:community:productsthroughsemrel'")
-					.count());
-
-		query = "select id, MyT.id community, size(MyT.datainfo) datainfosize "
-			+ "from dataset "
-			+ "lateral view explode (context) as MyT "
-			+ "where size(MyT.datainfo) > 0";
-
-		Assertions
-			.assertEquals(
-				2,
-				spark
-					.sql(query)
-					.select("datainfosize")
-					.where(
-						"id = '50|od______3989::02dd5d2c222191b0b9bd4f33c8e96529' a"
-							+ "nd community = 'covid-19'")
-					.collectAsList()
-					.get(0)
-					.getInt(0));
-	}
-
-	@Test
-	void bulktagByDatasourceTest() throws Exception {
-		final String sourcePath = getClass()
-			.getResource("/eu/dnetlib/dhp/bulktag/sample/publication/update_datasource")
-			.getPath();
-		SparkBulkTagJob
-			.main(
-				new String[] {
-					"-isTest", Boolean.TRUE.toString(),
-					"-isSparkSessionManaged", Boolean.FALSE.toString(),
-					"-sourcePath", sourcePath,
-					"-taggingConf", taggingConf,
-					"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Publication",
-					"-outputPath", workingDir.toString() + "/publication",
-					"-isLookUpUrl", MOCK_IS_LOOK_UP_URL,
-					"-pathMap", pathMap
-				});
-
-		final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
-
-		JavaRDD<Publication> tmp = sc
-			.textFile(workingDir.toString() + "/publication")
-			.map(item -> OBJECT_MAPPER.readValue(item, Publication.class));
-
-		Assertions.assertEquals(10, tmp.count());
-		org.apache.spark.sql.Dataset<Publication> verificationDataset = spark
-			.createDataset(tmp.rdd(), Encoders.bean(Publication.class));
-
-		verificationDataset.createOrReplaceTempView("publication");
-
-		String query = "select id, MyT.id community, MyD.provenanceaction.classid provenance, MyD.provenanceaction.classname name "
-			+ "from publication "
-			+ "lateral view explode(context) c as MyT "
-			+ "lateral view explode(MyT.datainfo) d as MyD "
-			+ "where MyD.inferenceprovenance = 'bulktagging'";
-
-		org.apache.spark.sql.Dataset<Row> idExplodeCommunity = spark.sql(query);
-
-		Assertions.assertEquals(5, idExplodeCommunity.count());
-		Assertions
-			.assertEquals(
-				5, idExplodeCommunity.filter("provenance = 'community:datasource'").count());
-		Assertions
-			.assertEquals(
-				5,
-				idExplodeCommunity
-					.filter("name = 'Bulktagging for Community - Datasource'")
-					.count());
-
-		Assertions.assertEquals(3, idExplodeCommunity.filter("community = 'fam'").count());
-		Assertions.assertEquals(2, idExplodeCommunity.filter("community = 'aginfra'").count());
-
-		Assertions
-			.assertEquals(
-				3,
-				idExplodeCommunity
-					.filter(
-						"community = 'fam' and (id = '50|ec_fp7health::000085c89f4b96dc2269bd37edb35306' "
-							+ "or id = '50|ec_fp7health::000b9e61f83f5a4b0c35777b7bccdf38' "
-							+ "or id = '50|ec_fp7health::0010eb63e181e3e91b8b6dc6b3e1c798')")
-					.count());
-
-		Assertions
-			.assertEquals(
-				2,
-				idExplodeCommunity
-					.filter(
-						"community = 'aginfra' and (id = '50|ec_fp7health::000c8195edd542e4e64ebb32172cbf89' "
-							+ "or id = '50|ec_fp7health::0010eb63e181e3e91b8b6dc6b3e1c798')")
-					.count());
-	}
-
-	@Test
-	void bulktagByZenodoCommunityTest() throws Exception {
-		final String sourcePath = getClass()
-			.getResource(
-				"/eu/dnetlib/dhp/bulktag/sample/otherresearchproduct/update_zenodocommunity")
-			.getPath();
-		SparkBulkTagJob
-			.main(
-				new String[] {
-					"-isTest", Boolean.TRUE.toString(),
-					"-isSparkSessionManaged", Boolean.FALSE.toString(),
-					"-sourcePath", sourcePath,
-					"-taggingConf", taggingConf,
-					"-resultTableName", "eu.dnetlib.dhp.schema.oaf.OtherResearchProduct",
-					"-outputPath", workingDir.toString() + "/orp",
-					"-isLookUpUrl", MOCK_IS_LOOK_UP_URL,
-					"-pathMap", pathMap
-				});
-
-		final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
-
-		JavaRDD<OtherResearchProduct> tmp = sc
-			.textFile(workingDir.toString() + "/orp")
-			.map(item -> OBJECT_MAPPER.readValue(item, OtherResearchProduct.class));
-
-		Assertions.assertEquals(10, tmp.count());
-		org.apache.spark.sql.Dataset<OtherResearchProduct> verificationDataset = spark
-			.createDataset(tmp.rdd(), Encoders.bean(OtherResearchProduct.class));
-
-		verificationDataset.createOrReplaceTempView("orp");
-
-		String query = "select id, MyT.id community, MyD.provenanceaction.classid provenance, MyD.provenanceaction.classname name "
-			+ "from orp "
-			+ "lateral view explode(context) c as MyT "
-			+ "lateral view explode(MyT.datainfo) d as MyD "
-			+ "where MyD.inferenceprovenance = 'bulktagging'";
-
-		org.apache.spark.sql.Dataset<Row> idExplodeCommunity = spark.sql(query);
-		Assertions.assertEquals(8, idExplodeCommunity.count());
-
-		Assertions
-			.assertEquals(
-				8, idExplodeCommunity.filter("provenance = 'community:zenodocommunity'").count());
-		Assertions
-			.assertEquals(
-				8,
-				idExplodeCommunity.filter("name = 'Bulktagging for Community - Zenodo'").count());
-
-		Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'covid-19'").count());
-		Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'aginfra'").count());
-		Assertions.assertEquals(2, idExplodeCommunity.filter("community = 'beopen'").count());
-		Assertions.assertEquals(2, idExplodeCommunity.filter("community = 'fam'").count());
-		Assertions.assertEquals(2, idExplodeCommunity.filter("community = 'mes'").count());
-
-		Assertions
-			.assertEquals(
-				1,
-				idExplodeCommunity
-					.filter(
-						"id = '50|od______2017::0750a4d0782265873d669520f5e33c07' "
-							+ "and community = 'covid-19'")
-					.count());
-		Assertions
-			.assertEquals(
-				3,
-				idExplodeCommunity
-					.filter(
-						"id = '50|od______2017::1bd97baef19dbd2db3203b112bb83bc5' and "
-							+ "(community = 'aginfra' or community = 'mes' or community = 'fam')")
-					.count());
-		Assertions
-			.assertEquals(
-				1,
-				idExplodeCommunity
-					.filter(
-						"id = '50|od______2017::1e400f1747487fd15998735c41a55c72' "
-							+ "and community = 'beopen'")
-					.count());
-		Assertions
-			.assertEquals(
-				3,
-				idExplodeCommunity
-					.filter(
-						"id = '50|od______2017::210281c5bc1c739a11ccceeeca806396' and "
-							+ "(community = 'beopen' or community = 'fam' or community = 'mes')")
-					.count());
-
-		query = "select id, MyT.id community, size(MyT.datainfo) datainfosize "
-			+ "from orp "
-			+ "lateral view explode (context) as MyT "
-			+ "where size(MyT.datainfo) > 0";
-
-		Assertions
-			.assertEquals(
-				2,
-				spark
-					.sql(query)
-					.select("datainfosize")
-					.where(
-						"id = '50|od______2017::210281c5bc1c739a11ccceeeca806396' a"
-							+ "nd community = 'beopen'")
-					.collectAsList()
-					.get(0)
-					.getInt(0));
-
-		// verify the zenodo community context is not present anymore in the records
-		query = "select id, MyT.id community "
-			+ "from orp "
-			+ "lateral view explode(context) c as MyT "
-			+ "lateral view explode(MyT.datainfo) d as MyD ";
-
-		org.apache.spark.sql.Dataset<Row> tmp2 = spark.sql(query);
-
-		Assertions
-			.assertEquals(
-				0,
-				tmp2
-					.select("community")
-					.where(tmp2.col("community").contains(ZENODO_COMMUNITY_INDICATOR))
-					.count());
-	}
-
-	@Test
-	void bulktagBySubjectDatasourceTest() throws Exception {
-		final String sourcePath = getClass()
-			.getResource("/eu/dnetlib/dhp/bulktag/sample/dataset/update_subject_datasource")
-			.getPath();
-		SparkBulkTagJob
-			.main(
-				new String[] {
-					"-isTest", Boolean.TRUE.toString(),
-					"-isSparkSessionManaged", Boolean.FALSE.toString(),
-					"-sourcePath", sourcePath,
-					"-taggingConf", taggingConf,
-					"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Dataset",
-					"-outputPath", workingDir.toString() + "/dataset",
-					"-isLookUpUrl", MOCK_IS_LOOK_UP_URL,
-					"-pathMap", pathMap
-				});
-
-		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());
-		org.apache.spark.sql.Dataset<Dataset> verificationDataset = spark
-			.createDataset(tmp.rdd(), Encoders.bean(Dataset.class));
-
-		verificationDataset.createOrReplaceTempView("dataset");
-
-		String query = "select id, MyT.id community, MyD.provenanceaction.classid provenance, MyD.provenanceaction.classname name "
-			+ "from dataset "
-			+ "lateral view explode(context) c as MyT "
-			+ "lateral view explode(MyT.datainfo) d as MyD "
-			+ "where MyD.inferenceprovenance = 'bulktagging'";
-
-		org.apache.spark.sql.Dataset<Row> idExplodeCommunity = spark.sql(query);
-		Assertions.assertEquals(7, idExplodeCommunity.count());
-
-		Assertions
-			.assertEquals(
-				5, idExplodeCommunity.filter("provenance = 'community:subject'").count());
-		Assertions
-			.assertEquals(
-				2, idExplodeCommunity.filter("provenance = 'community:datasource'").count());
-		Assertions.assertEquals(2, idExplodeCommunity.filter("community = 'covid-19'").count());
-		Assertions.assertEquals(2, idExplodeCommunity.filter("community = 'fam'").count());
-		Assertions.assertEquals(2, idExplodeCommunity.filter("community = 'aginfra'").count());
-		Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'mes'").count());
-
-		query = "select id, MyT.id community, size(MyT.datainfo) datainfosize "
-			+ "from dataset "
-			+ "lateral view explode (context) as MyT "
-			+ "where size(MyT.datainfo) > 0";
-
-		org.apache.spark.sql.Dataset<Row> tmp2 = spark.sql(query);
-
-		Assertions
-			.assertEquals(
-				2,
-				tmp2
-					.select("datainfosize")
-					.where(
-						"id = '50|od______3989::05d8c751462f9bb8d2b06956dfbc5c7b' and "
-							+ "community = 'aginfra'")
-					.collectAsList()
-					.get(0)
-					.getInt(0));
-
-		Assertions
-			.assertEquals(
-				1,
-				tmp2
-					.select("datainfosize")
-					.where(
-						"id = '50|od______3989::05d8c751462f9bb8d2b06956dfbc5c7b' and "
-							+ "community = 'covid-19'")
-					.collectAsList()
-					.get(0)
-					.getInt(0));
-
-		Assertions
-			.assertEquals(
-				2,
-				tmp2
-					.select("datainfosize")
-					.where(
-						"id = '50|od______3989::02dd5d2c222191b0b9bd4f33c8e96529' and "
-							+ "community = 'fam'")
-					.collectAsList()
-					.get(0)
-					.getInt(0));
-		Assertions
-			.assertEquals(
-				2,
-				tmp2
-					.select("datainfosize")
-					.where(
-						"id = '50|od______3989::02dd5d2c222191b0b9bd4f33c8e96529' and "
-							+ "community = 'covid-19'")
-					.collectAsList()
-					.get(0)
-					.getInt(0));
-
-		Assertions
-			.assertEquals(
-				1,
-				tmp2
-					.select("datainfosize")
-					.where(
-						"id = '50|od______3989::0f89464c4ac4c398fe0c71433b175a62' and "
-							+ "community = 'fam'")
-					.collectAsList()
-					.get(0)
-					.getInt(0));
-		Assertions
-			.assertEquals(
-				1,
-				tmp2
-					.select("datainfosize")
-					.where(
-						"id = '50|od______3989::0f89464c4ac4c398fe0c71433b175a62' and "
-							+ "community = 'mes'")
-					.collectAsList()
-					.get(0)
-					.getInt(0));
-	}
-
-	@Test
-	void bulktagBySubjectDatasourceZenodoCommunityTest() throws Exception {
-
-		SparkBulkTagJob
-			.main(
-				new String[] {
-					"-isTest", Boolean.TRUE.toString(),
-					"-isSparkSessionManaged", Boolean.FALSE.toString(),
-					"-sourcePath", getClass().getResource("/eu/dnetlib/dhp/bulktag/sample/software/").getPath(),
-					"-taggingConf", taggingConf,
-					"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Software",
-					"-outputPath", workingDir.toString() + "/software",
-					"-isLookUpUrl", MOCK_IS_LOOK_UP_URL,
-					"-pathMap", pathMap
 				});
 
 		final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
 
 		JavaRDD<Software> tmp = sc
-			.textFile(workingDir.toString() + "/software")
+			.textFile(workingDir.toString() + "/input/software")
 			.map(item -> OBJECT_MAPPER.readValue(item, Software.class));
 
 		Assertions.assertEquals(10, tmp.count());
-		org.apache.spark.sql.Dataset<Software> verificationDataset = spark
-			.createDataset(tmp.rdd(), Encoders.bean(Software.class));
 
-		verificationDataset.createOrReplaceTempView("software");
+		Assertions.assertEquals(4, tmp.filter(s -> s.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Jupyter Notebook"))).count());
 
-		String query = "select id, MyT.id community, MyD.provenanceaction.classid provenance, MyD.provenanceaction.classname name "
+		Assertions.assertEquals(2, tmp.filter(sw -> sw.getId().equals("50|od______1582::4132f5ec9496f0d6adc7b00a50a56ff4")).collect()
-			+ "from software "
+				.get(0).getSubject().size());
-			+ "lateral view explode(context) c as MyT "
+		Assertions.assertTrue(tmp.filter(sw -> sw.getId().equals("50|od______1582::4132f5ec9496f0d6adc7b00a50a56ff4")).collect()
-			+ "lateral view explode(MyT.datainfo) d as MyD "
+				.get(0).getSubject().stream().anyMatch(s -> s.getValue().equals("EOSC::Jupyter Notebook")));
-			+ "where MyD.inferenceprovenance = 'bulktagging'";
 
-		org.apache.spark.sql.Dataset<Row> idExplodeCommunity = spark.sql(query);
-		Assertions.assertEquals(10, idExplodeCommunity.count());
 
-		idExplodeCommunity.show(false);
+		Assertions.assertEquals(5, tmp.filter(sw -> sw.getId().equals("50|od______1582::501b25d420f808c8eddcd9b16e917f11")).collect()
-		Assertions
+				.get(0).getSubject().size());
-			.assertEquals(
+		Assertions.assertFalse(tmp.filter(sw -> sw.getId().equals("50|od______1582::501b25d420f808c8eddcd9b16e917f11")).collect()
-				3, idExplodeCommunity.filter("provenance = 'community:subject'").count());
+				.get(0).getSubject().stream().anyMatch(s -> s.getValue().equals("EOSC::Jupyter Notebook")));
-		Assertions
-			.assertEquals(
-				3, idExplodeCommunity.filter("provenance = 'community:datasource'").count());
-		Assertions
-			.assertEquals(
-				4, idExplodeCommunity.filter("provenance = 'community:zenodocommunity'").count());
 
-		Assertions.assertEquals(3, idExplodeCommunity.filter("community = 'covid-19'").count());
+		Assertions.assertEquals(9, tmp.filter(sw -> sw.getId().equals("50|od______1582::581621232a561b7e8b4952b18b8b0e56")).collect()
-		Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'dh-ch'").count());
+				.get(0).getSubject().size());
-		Assertions.assertEquals(4, idExplodeCommunity.filter("community = 'aginfra'").count());
+		Assertions.assertTrue(tmp.filter(sw -> sw.getId().equals("50|od______1582::581621232a561b7e8b4952b18b8b0e56")).collect()
-		Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'dariah'").count());
+				.get(0).getSubject().stream().anyMatch(s -> s.getValue().equals("EOSC::Jupyter Notebook")));
-		Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'fam'").count());
 
-		Assertions
+		Assertions.assertEquals(5, tmp.filter(sw -> sw.getId().equals("50|od______1582::5aec1186054301b66c0c5dc35972a589")).collect()
-			.assertEquals(
+				.get(0).getSubject().size());
-				2,
+		Assertions.assertFalse(tmp.filter(sw -> sw.getId().equals("50|od______1582::5aec1186054301b66c0c5dc35972a589")).collect()
-				idExplodeCommunity
+				.get(0).getSubject().stream().anyMatch(s -> s.getValue().equals("EOSC::Jupyter Notebook")));
-					.filter(
-						"provenance = 'community:zenodocommunity' and "
-							+ "id = '50|od______1582::4132f5ec9496f0d6adc7b00a50a56ff4' and ("
-							+ "community = 'dh-ch' or community = 'dariah')")
-					.count());
 
-		query = "select id, MyT.id community, size(MyT.datainfo) datainfosize "
+		Assertions.assertEquals(9, tmp.filter(sw -> sw.getId().equals("50|od______1582::639909adfad9d708308f2aedb733e4a0")).collect()
-			+ "from software "
+				.get(0).getSubject().size());
-			+ "lateral view explode (context) as MyT "
+		Assertions.assertTrue(tmp.filter(sw -> sw.getId().equals("50|od______1582::639909adfad9d708308f2aedb733e4a0")).collect()
-			+ "where size(MyT.datainfo) > 0";
+				.get(0).getSubject().stream().anyMatch(s -> s.getValue().equals("EOSC::Jupyter Notebook")));
 
-		org.apache.spark.sql.Dataset<Row> tmp2 = spark.sql(query);
+		List<StructuredProperty> subjects = tmp.filter(sw -> sw.getId().equals("50|od______1582::6e7a9b21a2feef45673890432af34244")).collect()
+				.get(0).getSubject();
+		Assertions.assertEquals(8, subjects.size());
+		Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("EOSC::Jupyter Notebook")));
+		Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("jupyter")));
+		Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("Modeling and Simulation")));
+		Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("structure granulaire")));
+		Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("algorithme")));
+		Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("simulation numérique")));
+		Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("flux de gaz")));
+		Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("flux de liquide")));
 
-		Assertions
-			.assertEquals(
-				2,
-				tmp2
-					.select("datainfosize")
-					.where(
-						"id = '50|od______1582::501b25d420f808c8eddcd9b16e917f11' and "
-							+ "community = 'covid-19'")
-					.collectAsList()
-					.get(0)
-					.getInt(0));
 
-		Assertions
+		Assertions.assertEquals(10, sc
-			.assertEquals(
+				.textFile(workingDir.toString() + "/input/dataset")
-				3,
+				.map(item -> OBJECT_MAPPER.readValue(item, Dataset.class)).count());
-				tmp2
+
-					.select("datainfosize")
+		Assertions.assertEquals(0, sc
-					.where(
+				.textFile(workingDir.toString() + "/input/dataset")
-						"id = '50|od______1582::581621232a561b7e8b4952b18b8b0e56' and "
+				.map(item -> OBJECT_MAPPER.readValue(item, Dataset.class)).filter(ds -> ds.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Jupyter Notebook"))).count());
-							+ "community = 'aginfra'")
+
-					.collectAsList()
+
-					.get(0)
+		Assertions.assertEquals(10, sc
-					.getInt(0));
+				.textFile(workingDir.toString() + "/input/otherresearchproduct")
+				.map(item -> OBJECT_MAPPER.readValue(item, OtherResearchProduct.class)).count());
+
+		Assertions.assertEquals(0, sc
+				.textFile(workingDir.toString() + "/input/otherresearchproduct")
+				.map(item -> OBJECT_MAPPER.readValue(item, OtherResearchProduct.class)).filter(ds -> ds.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Jupyter Notebook"))).count());
 	}
 
-	@Test
-	void bulktagDatasourcewithConstraintsTest() throws Exception {
 
-		final String sourcePath = getClass()
-			.getResource(
-				"/eu/dnetlib/dhp/bulktag/sample/dataset/update_datasourcewithconstraints")
-			.getPath();
-		SparkBulkTagJob
-			.main(
-				new String[] {
-					"-isTest", Boolean.TRUE.toString(),
-					"-isSparkSessionManaged", Boolean.FALSE.toString(),
-					"-sourcePath", sourcePath,
-					"-taggingConf", taggingConf,
-					"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Dataset",
-					"-outputPath", workingDir.toString() + "/dataset",
-					"-isLookUpUrl", MOCK_IS_LOOK_UP_URL,
-					"-pathMap", pathMap
-				});
-
-		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());
-		org.apache.spark.sql.Dataset<Dataset> verificationDataset = spark
-			.createDataset(tmp.rdd(), Encoders.bean(Dataset.class));
-
-		verificationDataset.createOrReplaceTempView("dataset");
-		String query = "select id, MyT.id community, MyD.provenanceaction.classid provenance, MyD.provenanceaction.classname name "
-			+ "from dataset "
-			+ "lateral view explode(context) c as MyT "
-			+ "lateral view explode(MyT.datainfo) d as MyD "
-			+ "where MyD.inferenceprovenance = 'bulktagging'";
-
-		org.apache.spark.sql.Dataset<Row> idExplodeCommunity = spark.sql(query);
-
-		idExplodeCommunity.show(false);
-		Assertions.assertEquals(3, idExplodeCommunity.count());
-
-		Assertions
-			.assertEquals(
-				3, idExplodeCommunity.filter("provenance = 'community:datasource'").count());
-	}
 }