test for bulktag

dhp-workflows/dhp-bulktag/src/test/java/eu/dnetlib/dhp/BulkTagJobTest.java

@@ -1,13 +1,24 @@
 package eu.dnetlib.dhp;
 
+import static eu.dnetlib.dhp.community.TagginConstants.ZENODO_COMMUNITY_INDICATOR;
+
 import com.fasterxml.jackson.databind.ObjectMapper;
+import eu.dnetlib.dhp.schema.oaf.Dataset;
+import eu.dnetlib.dhp.schema.oaf.OtherResearchProduct;
+import eu.dnetlib.dhp.schema.oaf.Publication;
+import eu.dnetlib.dhp.schema.oaf.Software;
 import java.io.IOException;
 import java.nio.file.Files;
 import java.nio.file.Path;
 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.mortbay.util.IO;
@@ -31,7 +42,7 @@ public class BulkTagJobTest {
             taggingConf =
                     IO.toString(
                             BulkTagJobTest.class.getResourceAsStream(
-                                    "/eu/dnetlib/dhp/communityconfiguration/tagging_conf.json"));
+                                    "/eu/dnetlib/dhp/communityconfiguration/tagging_conf.xml"));
         } catch (IOException e) {
             e.printStackTrace();
         }
@@ -66,7 +77,7 @@ public class BulkTagJobTest {
     }
 
     @Test
-    public void test1() throws Exception {
+    public void noUpdatesTest() throws Exception {
         SparkBulkTagJob2.main(
                 new String[] {
                     "-isTest",
@@ -74,7 +85,7 @@ public class BulkTagJobTest {
                     "-isSparkSessionManaged",
                     Boolean.FALSE.toString(),
                     "-sourcePath",
-                    getClass().getResource("/eu/dnetlib/dhp/sample/dataset").getPath(),
+                    getClass().getResource("/eu/dnetlib/dhp/sample/dataset/no_updates").getPath(),
                     "-taggingConf",
                     taggingConf,
                     "-resultTableName",
@@ -92,142 +103,700 @@ public class BulkTagJobTest {
                     //                "-preparedInfoPath",
                     // getClass().getResource("/eu/dnetlib/dhp/resulttocommunityfromsemrel/preparedInfo").getPath()
                 });
+
+        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 "
+                        + "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());
     }
-}
-
-/*
-
-
-import eu.dnetlib.dhp.orcidtoresultfromsemrel.OrcidPropagationJobTest;
-import eu.dnetlib.dhp.resulttocommunityfromorganization.SparkResultToCommunityFromOrganizationJob2;
-import eu.dnetlib.dhp.schema.oaf.Dataset;
-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 java.io.IOException;
-import java.nio.file.Files;
-import java.nio.file.Path;
-import java.util.List;
-
-import static org.apache.spark.sql.functions.desc;
-
-
-
-
 
     @Test
-    public void test1() throws Exception {
+    public void bulktagBySubjectNoPreviousContextTest() throws Exception {
-        SparkResultToCommunityThroughSemRelJob4.main(new String[]{
+        SparkBulkTagJob2.main(
-                "-isTest", Boolean.TRUE.toString(),
+                new String[] {
-                "-isSparkSessionManaged", Boolean.FALSE.toString(),
+                    "-isTest",
-                "-sourcePath", getClass().getResource("/eu/dnetlib/dhp/resulttocommunityfromsemrel/sample").getPath(),
+                    Boolean.TRUE.toString(),
-                "-hive_metastore_uris", "",
+                    "-isSparkSessionManaged",
-                "-resultTableName", "eu.dnetlib.dhp.schema.oaf.Dataset",
+                    Boolean.FALSE.toString(),
-                "-outputPath", workingDir.toString() + "/dataset",
+                    "-sourcePath",
-                "-preparedInfoPath", getClass().getResource("/eu/dnetlib/dhp/resulttocommunityfromsemrel/preparedInfo").getPath()
+                    getClass()
+                            .getResource("/eu/dnetlib/dhp/sample/dataset/update_subject/nocontext")
+                            .getPath(),
+                    "-taggingConf",
+                    taggingConf,
+                    "-resultTableName",
+                    "eu.dnetlib.dhp.schema.oaf.Dataset",
+                    "-outputPath",
+                    workingDir.toString() + "/dataset",
+                    "-isLookupUrl",
+                    "http://beta.services.openaire.eu:8280/is/services/isLookUp",
+                    "-protoMap",
+                    "{ \"author\" : \"$['author'][*]['fullname']\","
+                            + "  \"title\" : \"$['title'][*]['value']\","
+                            + "  \"orcid\" : \"$['author'][*]['pid'][*][?(@['key']=='ORCID')]['value']\","
+                            + "  \"contributor\" : \"$['contributor'][*]['value']\","
+                            + "  \"description\" : \"$['description'][*]['value']\"}"
                 });
 
         final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
 
-        JavaRDD<Dataset> tmp = sc.textFile(workingDir.toString() + "/dataset")
+        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));
+        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 " +
+        String query =
-                "from dataset " +
+                "select id, MyT.id community, MyD.provenanceaction.classid provenance, MyD.provenanceaction.classname name "
-                "lateral view explode(context) c as MyT " +
+                        + "from dataset "
-                "lateral view explode(MyT.datainfo) d as MyD " +
+                        + "lateral view explode(context) c as MyT "
-                "where MyD.inferenceprovenance = 'propagation'";
+                        + "lateral view explode(MyT.datainfo) d as MyD "
+                        + "where MyD.inferenceprovenance = 'bulktagging'";
 
-        org.apache.spark.sql.Dataset<Row> resultExplodedProvenance = spark.sql(query);
+        Assertions.assertEquals(5, spark.sql(query).count());
-        Assertions.assertEquals(5, resultExplodedProvenance.count());
 
-        Assertions.assertEquals(0, resultExplodedProvenance.filter("id = '50|dedup_wf_001::2305908abeca9da37eaf3bddcaf81b7b'").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(1, resultExplodedProvenance.filter("id = '50|dedup_wf_001::0489ae524201eedaa775da282dce35e7'").count());
+        Assertions.assertEquals(2, idExplodeCommunity.filter("community = 'covid-19'").count());
-        Assertions.assertEquals("dh-ch",resultExplodedProvenance.select("community")
+        Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'mes'").count());
-                .where(resultExplodedProvenance.col("id").equalTo("50|dedup_wf_001::0489ae524201eedaa775da282dce35e7"))
+        Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'fam'").count());
-                .collectAsList().get(0).getString(0));
+        Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'aginfra'").count());
 
-        Assertions.assertEquals(3, resultExplodedProvenance.filter("id = '50|dedup_wf_001::0a60e33b4f0986ebd9819451f2d87a28'").count());
+        Assertions.assertEquals(
-        List<Row> rowList = resultExplodedProvenance.select("community")
+                1,
-                .where(resultExplodedProvenance.col("id")
+                idExplodeCommunity
-                        .equalTo("50|dedup_wf_001::0a60e33b4f0986ebd9819451f2d87a28"))
+                        .filter("id = '50|od______3989::02dd5d2c222191b0b9bd4f33c8e96529'")
-                .sort(desc("community")).collectAsList();
+                        .count());
-        Assertions.assertEquals("mes", rowList.get(0).getString(0));
+        Assertions.assertEquals(
-        Assertions.assertEquals("fam", rowList.get(1).getString(0));
+                1,
-        Assertions.assertEquals("ee", rowList.get(2).getString(0));
+                idExplodeCommunity
-
+                        .filter(
-
+                                "community = 'covid-19' and id = '50|od______3989::02dd5d2c222191b0b9bd4f33c8e96529'")
-        Assertions.assertEquals(1, resultExplodedProvenance.filter("id = '50|dedup_wf_001::0ae02edb5598a5545d10b107fcf48dcc'").count());
+                        .count());
-        Assertions.assertEquals("aginfra", resultExplodedProvenance.select("community")
-                .where(resultExplodedProvenance.col("id")
-                        .equalTo("50|dedup_wf_001::0ae02edb5598a5545d10b107fcf48dcc"))
-                .collectAsList().get(0).getString(0));
-
-
-        query = "select id, MyT.id community " +
-                "from dataset " +
-                "lateral view explode(context) c as MyT " +
-                "lateral view explode(MyT.datainfo) d as MyD ";
-
-        org.apache.spark.sql.Dataset<Row> resultCommunityId = spark.sql(query);
-
-        Assertions.assertEquals(10, resultCommunityId.count());
-
-        Assertions.assertEquals(2, resultCommunityId.filter("id = '50|dedup_wf_001::0489ae524201eedaa775da282dce35e7'").count());
-        rowList = resultCommunityId.select("community")
-                .where(resultCommunityId.col("id").equalTo("50|dedup_wf_001::0489ae524201eedaa775da282dce35e7"))
-                .sort(desc("community"))
-                .collectAsList();
-        Assertions.assertEquals("dh-ch", rowList.get(0).getString(0));
-        Assertions.assertEquals("beopen", rowList.get(1).getString(0));
-
-        Assertions.assertEquals(3, resultCommunityId.filter("id = '50|dedup_wf_001::0a60e33b4f0986ebd9819451f2d87a28'").count());
-        rowList = resultCommunityId.select("community")
-                .where(resultCommunityId.col("id").equalTo("50|dedup_wf_001::0a60e33b4f0986ebd9819451f2d87a28"))
-                .sort(desc("community"))
-                .collectAsList();
-        Assertions.assertEquals("mes", rowList.get(0).getString(0));
-        Assertions.assertEquals("fam", rowList.get(1).getString(0));
-        Assertions.assertEquals("ee", rowList.get(2).getString(0));
-
-        Assertions.assertEquals(2, resultCommunityId.filter("id = '50|dedup_wf_001::0ae02edb5598a5545d10b107fcf48dcc'").count());
-        rowList = resultCommunityId.select("community")
-                .where(resultCommunityId.col("id").equalTo("50|dedup_wf_001::0ae02edb5598a5545d10b107fcf48dcc"))
-                .sort(desc("community"))
-                .collectAsList();
-        Assertions.assertEquals("beopen", rowList.get(0).getString(0));
-        Assertions.assertEquals("aginfra", rowList.get(1).getString(0));
-
-        Assertions.assertEquals(2, resultCommunityId.filter("id = '50|dedup_wf_001::2305908abeca9da37eaf3bddcaf81b7b'").count());
-        rowList = resultCommunityId.select("community")
-                .where(resultCommunityId.col("id").equalTo("50|dedup_wf_001::2305908abeca9da37eaf3bddcaf81b7b"))
-                .sort(desc("community"))
-                .collectAsList();
-        Assertions.assertEquals("euromarine", rowList.get(1).getString(0));
-        Assertions.assertEquals("ni", rowList.get(0).getString(0));
-
-        Assertions.assertEquals(1, resultCommunityId.filter("id = '50|doajarticles::8d817039a63710fcf97e30f14662c6c8'").count());
-        Assertions.assertEquals("euromarine", resultCommunityId.select("community")
-                .where(resultCommunityId.col("id")
-                        .equalTo("50|doajarticles::8d817039a63710fcf97e30f14662c6c8"))
-                .collectAsList().get(0).getString(0));
 
+        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
+    public void bulktagBySubjectPreviousContextNoProvenanceTest() throws Exception {
+        SparkBulkTagJob2.main(
+                new String[] {
+                    "-isTest",
+                    Boolean.TRUE.toString(),
+                    "-isSparkSessionManaged",
+                    Boolean.FALSE.toString(),
+                    "-sourcePath",
+                    getClass()
+                            .getResource(
+                                    "/eu/dnetlib/dhp/sample/dataset/update_subject/contextnoprovenance")
+                            .getPath(),
+                    "-taggingConf",
+                    taggingConf,
+                    "-resultTableName",
+                    "eu.dnetlib.dhp.schema.oaf.Dataset",
+                    "-outputPath",
+                    workingDir.toString() + "/dataset",
+                    "-isLookupUrl",
+                    "http://beta.services.openaire.eu:8280/is/services/isLookUp",
+                    "-protoMap",
+                    "{ \"author\" : \"$['author'][*]['fullname']\","
+                            + "  \"title\" : \"$['title'][*]['value']\","
+                            + "  \"orcid\" : \"$['author'][*]['pid'][*][?(@['key']=='ORCID')]['value']\","
+                            + "  \"contributor\" : \"$['contributor'][*]['value']\","
+                            + "  \"description\" : \"$['description'][*]['value']\"}"
+                });
+
+        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
+    public void bulktagByDatasourceTest() throws Exception {
+        SparkBulkTagJob2.main(
+                new String[] {
+                    "-isTest",
+                    Boolean.TRUE.toString(),
+                    "-isSparkSessionManaged",
+                    Boolean.FALSE.toString(),
+                    "-sourcePath",
+                    getClass()
+                            .getResource("/eu/dnetlib/dhp/sample/publication/update_datasource")
+                            .getPath(),
+                    "-taggingConf",
+                    taggingConf,
+                    "-resultTableName",
+                    "eu.dnetlib.dhp.schema.oaf.Publication",
+                    "-outputPath",
+                    workingDir.toString() + "/publication",
+                    "-isLookupUrl",
+                    "http://beta.services.openaire.eu:8280/is/services/isLookUp",
+                    "-protoMap",
+                    "{ \"author\" : \"$['author'][*]['fullname']\","
+                            + "  \"title\" : \"$['title'][*]['value']\","
+                            + "  \"orcid\" : \"$['author'][*]['pid'][*][?(@['key']=='ORCID')]['value']\","
+                            + "  \"contributor\" : \"$['contributor'][*]['value']\","
+                            + "  \"description\" : \"$['description'][*]['value']\"}"
+                });
+
+        final JavaSparkContext sc = new JavaSparkContext(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
+    public void bulktagByZenodoCommunityTest() throws Exception {
+        SparkBulkTagJob2.main(
+                new String[] {
+                    "-isTest",
+                    Boolean.TRUE.toString(),
+                    "-isSparkSessionManaged",
+                    Boolean.FALSE.toString(),
+                    "-sourcePath",
+                    getClass()
+                            .getResource(
+                                    "/eu/dnetlib/dhp/sample/otherresearchproduct/update_zenodocommunity")
+                            .getPath(),
+                    "-taggingConf",
+                    taggingConf,
+                    "-resultTableName",
+                    "eu.dnetlib.dhp.schema.oaf.OtherResearchProduct",
+                    "-outputPath",
+                    workingDir.toString() + "/orp",
+                    "-isLookupUrl",
+                    "http://beta.services.openaire.eu:8280/is/services/isLookUp",
+                    "-protoMap",
+                    "{ \"author\" : \"$['author'][*]['fullname']\","
+                            + "  \"title\" : \"$['title'][*]['value']\","
+                            + "  \"orcid\" : \"$['author'][*]['pid'][*][?(@['key']=='ORCID')]['value']\","
+                            + "  \"contributor\" : \"$['contributor'][*]['value']\","
+                            + "  \"description\" : \"$['description'][*]['value']\"}"
+                });
+
+        final JavaSparkContext sc = new JavaSparkContext(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
+    public void bulktagBySubjectDatasourceTest() throws Exception {
+        SparkBulkTagJob2.main(
+                new String[] {
+                    "-isTest",
+                    Boolean.TRUE.toString(),
+                    "-isSparkSessionManaged",
+                    Boolean.FALSE.toString(),
+                    "-sourcePath",
+                    getClass()
+                            .getResource("/eu/dnetlib/dhp/sample/dataset/update_subject_datasource")
+                            .getPath(),
+                    "-taggingConf",
+                    taggingConf,
+                    "-resultTableName",
+                    "eu.dnetlib.dhp.schema.oaf.Dataset",
+                    "-outputPath",
+                    workingDir.toString() + "/dataset",
+                    "-isLookupUrl",
+                    "http://beta.services.openaire.eu:8280/is/services/isLookUp",
+                    "-protoMap",
+                    "{ \"author\" : \"$['author'][*]['fullname']\","
+                            + "  \"title\" : \"$['title'][*]['value']\","
+                            + "  \"orcid\" : \"$['author'][*]['pid'][*][?(@['key']=='ORCID')]['value']\","
+                            + "  \"contributor\" : \"$['contributor'][*]['value']\","
+                            + "  \"description\" : \"$['description'][*]['value']\"}"
+                });
+
+        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, 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
+    public void bulktagBySubjectDatasourceZenodoCommunityTest() throws Exception {
+
+        SparkBulkTagJob2.main(
+                new String[] {
+                    "-isTest",
+                    Boolean.TRUE.toString(),
+                    "-isSparkSessionManaged",
+                    Boolean.FALSE.toString(),
+                    "-sourcePath",
+                    getClass().getResource("/eu/dnetlib/dhp/sample/software/").getPath(),
+                    "-taggingConf",
+                    taggingConf,
+                    "-resultTableName",
+                    "eu.dnetlib.dhp.schema.oaf.Software",
+                    "-outputPath",
+                    workingDir.toString() + "/software",
+                    "-isLookupUrl",
+                    "http://beta.services.openaire.eu:8280/is/services/isLookUp",
+                    "-protoMap",
+                    "{ \"author\" : \"$['author'][*]['fullname']\","
+                            + "  \"title\" : \"$['title'][*]['value']\","
+                            + "  \"orcid\" : \"$['author'][*]['pid'][*][?(@['key']=='ORCID')]['value']\","
+                            + "  \"contributor\" : \"$['contributor'][*]['value']\","
+                            + "  \"description\" : \"$['description'][*]['value']\"}"
+                });
+
+        final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
+
+        JavaRDD<Software> tmp =
+                sc.textFile(workingDir.toString() + "/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");
+
+        String query =
+                "select id, MyT.id community, MyD.provenanceaction.classid provenance, MyD.provenanceaction.classname name "
+                        + "from software "
+                        + "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(10, idExplodeCommunity.count());
+
+        idExplodeCommunity.show(false);
+        Assertions.assertEquals(
+                3, idExplodeCommunity.filter("provenance = 'community:subject'").count());
+        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(1, idExplodeCommunity.filter("community = 'dh-ch'").count());
+        Assertions.assertEquals(4, idExplodeCommunity.filter("community = 'aginfra'").count());
+        Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'dariah'").count());
+        Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'fam'").count());
+
+        Assertions.assertEquals(
+                2,
+                idExplodeCommunity
+                        .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 "
+                        + "from software "
+                        + "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______1582::501b25d420f808c8eddcd9b16e917f11' and "
+                                        + "community = 'covid-19'")
+                        .collectAsList()
+                        .get(0)
+                        .getInt(0));
+
+        Assertions.assertEquals(
+                3,
+                tmp2.select("datainfosize")
+                        .where(
+                                "id = '50|od______1582::581621232a561b7e8b4952b18b8b0e56' and "
+                                        + "community = 'aginfra'")
+                        .collectAsList()
+                        .get(0)
+                        .getInt(0));
+    }
+
+    @Test
+    public void bulktagDatasourcewithConstraintsTest() throws Exception {
+
+        SparkBulkTagJob2.main(
+                new String[] {
+                    "-isTest",
+                    Boolean.TRUE.toString(),
+                    "-isSparkSessionManaged",
+                    Boolean.FALSE.toString(),
+                    "-sourcePath",
+                    getClass()
+                            .getResource(
+                                    "/eu/dnetlib/dhp/sample/dataset/update_datasourcewithconstraints")
+                            .getPath(),
+                    "-taggingConf",
+                    taggingConf,
+                    "-resultTableName",
+                    "eu.dnetlib.dhp.schema.oaf.Dataset",
+                    "-outputPath",
+                    workingDir.toString() + "/dataset",
+                    "-isLookupUrl",
+                    "http://beta.services.openaire.eu:8280/is/services/isLookUp",
+                    "-protoMap",
+                    "{ \"author\" : \"$['author'][*]['fullname']\","
+                            + "  \"title\" : \"$['title'][*]['value']\","
+                            + "  \"orcid\" : \"$['author'][*]['pid'][*][?(@['key']=='ORCID')]['value']\","
+                            + "  \"contributor\" : \"$['contributor'][*]['value']\","
+                            + "  \"description\" : \"$['description'][*]['value']\"}"
+                });
+
+        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, 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(2, idExplodeCommunity.count());
+
+        Assertions.assertEquals(
+                2, idExplodeCommunity.filter("provenance = 'community:datasource'").count());
+    }
+}

dhp-workflows/dhp-bulktag/src/test/java/eu/dnetlib/dhp/CommunityConfigurationFactoryTest.java

@@ -18,9 +18,6 @@ import org.junit.jupiter.api.Test;
 /** Created by miriam on 03/08/2018. */
 public class CommunityConfigurationFactoryTest {
 
-    private static String xml;
-    private static String xml1;
-
     private final VerbResolver resolver = new VerbResolver();
 
     @Test