[UsageCount] split the count for result at the level of the datasource. for each indicator one unit is specified for each datasource contrinuting to that indicator value. The datasource key is the value of the key element in the unit for the measure, while the count for that datasource is in the value

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/usagestats/SparkAtomicActionUsageJob.java

@@ -5,6 +5,7 @@ import static eu.dnetlib.dhp.actionmanager.Constants.*;
 import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
 
 import java.io.Serializable;
+import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.List;
 import java.util.Optional;
@@ -14,6 +15,7 @@ import org.apache.hadoop.io.Text;
 import org.apache.hadoop.mapred.SequenceFileOutputFormat;
 import org.apache.spark.SparkConf;
 import org.apache.spark.api.java.function.MapFunction;
+import org.apache.spark.api.java.function.MapGroupsFunction;
 import org.apache.spark.sql.Dataset;
 import org.apache.spark.sql.Encoders;
 import org.apache.spark.sql.SaveMode;
@@ -73,13 +75,28 @@ public class SparkAtomicActionUsageJob implements Serializable {
 			isSparkSessionManaged,
 			spark -> {
 				removeOutputDir(spark, outputPath);
-				prepareData(dbname, spark, workingPath + "/usageDb", "usage_stats", "result_id");
+				prepareResultData(dbname, spark, workingPath + "/usageDb", "usage_stats", "result_id", "repository_id");
 				prepareData(dbname, spark, workingPath + "/projectDb", "project_stats", "id");
-				prepareData(dbname, spark, workingPath + "/datasourceDb", "datasource_stats", "repositor_id");
+				prepareData(dbname, spark, workingPath + "/datasourceDb", "datasource_stats", "repository_id");
 				writeActionSet(spark, workingPath, outputPath);
 			});
 	}
 
+	private static void prepareResultData(String dbname, SparkSession spark, String workingPath, String tableName, String resultAttributeName, String datasourceAttributeName) {
+		spark
+				.sql(
+						String
+								.format(
+										"select %s as id, %s as datasourceId, sum(downloads) as downloads, sum(views) as views " +
+												"from %s.%s group by %s, %s",
+										resultAttributeName, datasourceAttributeName, dbname, tableName, resultAttributeName, datasourceAttributeName))
+				.as(Encoders.bean(UsageStatsResultModel.class))
+				.write()
+				.mode(SaveMode.Overwrite)
+				.option("compression", "gzip")
+				.json(workingPath);
+	}
+
 	private static void prepareData(String dbname, SparkSession spark, String workingPath, String tableName,
 		String attribute_name) {
 		spark
@@ -114,16 +131,55 @@ public class SparkAtomicActionUsageJob implements Serializable {
 			.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class);
 
 	}
-
+	public static Measure newMeasureInstance(String id) {
+		Measure m = new Measure();
+		m.setId(id);
+		m.setUnit(new ArrayList<>());
+		return m;
+	}
 	private static Dataset<Result> getFinalIndicatorsResult(SparkSession spark, String inputPath) {
 
-		return readPath(spark, inputPath, UsageStatsModel.class)
+		return readPath(spark, inputPath, UsageStatsResultModel.class)
-			.map((MapFunction<UsageStatsModel, Result>) usm -> {
+				.groupByKey((MapFunction<UsageStatsResultModel, String>) usm -> usm.getId(), Encoders.STRING())
+				.mapGroups((MapGroupsFunction<String, UsageStatsResultModel, Result>) (k,it) -> {
 					Result r = new Result();
-				r.setId("50|" + usm.getId());
+					r.setId("50|" + k);
-				r.setMeasures(getMeasure(usm.getDownloads(), usm.getViews()));
+					//id = download or view and unit = list of key value pairs
+					Measure download = newMeasureInstance("downloads");
+					Measure view = newMeasureInstance("views");
+					UsageStatsResultModel first = it.next();
+					addCountForDatasource(download, first, view);
+					it.forEachRemaining(usm -> {
+						addCountForDatasource(download, usm, view);
+					});
+					r.setMeasures(Arrays.asList(download, view));
 					return r;
-			}, Encoders.bean(Result.class));
+				}, Encoders.bean(Result.class))
+//			.map((MapFunction<UsageStatsResultModel, Result>) usm -> {
+//				Result r = new Result();
+//				r.setId("50|" + usm.getId());
+//				r.setMeasures(getMeasure(usm.getDownloads(), usm.getViews()));
+//				return r;
+//			}, Encoders.bean(Result.class));
+		;
+	}
+
+	private static void addCountForDatasource(Measure download, UsageStatsResultModel usm, Measure view) {
+		DataInfo dataInfo = OafMapperUtils
+				.dataInfo(
+						false,
+						UPDATE_DATA_INFO_TYPE,
+						true,
+						false,
+						OafMapperUtils
+								.qualifier(
+										UPDATE_MEASURE_USAGE_COUNTS_CLASS_ID,
+										UPDATE_CLASS_NAME,
+										ModelConstants.DNET_PROVENANCE_ACTIONS,
+										ModelConstants.DNET_PROVENANCE_ACTIONS),
+						"");
+		download.getUnit().add(OafMapperUtils.newKeyValueInstance(usm.getDatasourceId(), String.valueOf(usm.getDownloads()), dataInfo));
+		view.getUnit().add(OafMapperUtils.newKeyValueInstance(usm.getDatasourceId(), String.valueOf(usm.getViews()), dataInfo));
 	}
 
 	private static Dataset<Project> getFinalIndicatorsProject(SparkSession spark, String inputPath) {

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/usagestats/UsageStatsResultModel.java

@@ -0,0 +1,17 @@
+package eu.dnetlib.dhp.actionmanager.usagestats;
+
+/**
+ * @author miriam.baglioni
+ * @Date 30/06/23
+ */
+public class UsageStatsResultModel extends UsageStatsModel{
+    private String datasourceId ;
+
+    public String getDatasourceId() {
+        return datasourceId;
+    }
+
+    public void setDatasourceId(String datasourceId) {
+        this.datasourceId = datasourceId;
+    }
+}

dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/usagestats/SparkAtomicActionCountJobTest.java

@@ -8,6 +8,7 @@ import java.nio.file.Files;
 import java.nio.file.Path;
 import java.util.stream.Collectors;
 
+import eu.dnetlib.dhp.schema.oaf.Measure;
 import org.apache.commons.io.FileUtils;
 import org.apache.hadoop.io.Text;
 import org.apache.spark.SparkConf;
@@ -66,10 +67,356 @@ public class SparkAtomicActionCountJobTest {
 		spark.stop();
 	}
 
+	@Test
+	void testUsageStatsDb2() {
+		String usageScoresPath = getClass()
+			.getResource("/eu/dnetlib/dhp/actionmanager/usagestats/test2")
+			.getPath();
+
+		SparkAtomicActionUsageJob.writeActionSet(spark, usageScoresPath, workingDir.toString() + "/actionSet");
+
+		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
+
+		JavaRDD<AtomicAction> tmp = sc
+			.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
+			.map(usm -> OBJECT_MAPPER.readValue(usm._2.getBytes(), AtomicAction.class));
+		// .map(aa -> (Result) aa.getPayload());
+
+		Assertions.assertEquals(7, tmp.filter(aa -> ((OafEntity) aa.getPayload()).getId().startsWith("50|")).count());
+		Assertions.assertEquals(9, tmp.filter(aa -> ((OafEntity) aa.getPayload()).getId().startsWith("10|")).count());
+		Assertions.assertEquals(9, tmp.filter(aa -> ((OafEntity) aa.getPayload()).getId().startsWith("40|")).count());
+
+		tmp.foreach(r -> Assertions.assertEquals(2, ((OafEntity) r.getPayload()).getMeasures().size()));
+		tmp
+			.foreach(
+				r -> ((OafEntity) r.getPayload())
+					.getMeasures()
+					.stream()
+					.forEach(
+						m -> m
+							.getUnit()
+							.stream()
+							.forEach(u -> Assertions.assertFalse(u.getDataInfo().getDeletedbyinference()))));
+		tmp
+			.foreach(
+				r -> ((OafEntity) r.getPayload())
+					.getMeasures()
+					.stream()
+					.forEach(
+						m -> m.getUnit().stream().forEach(u -> Assertions.assertTrue(u.getDataInfo().getInferred()))));
+		tmp
+			.foreach(
+				r -> ((OafEntity) r.getPayload())
+					.getMeasures()
+					.stream()
+					.forEach(
+						m -> m
+							.getUnit()
+							.stream()
+							.forEach(u -> Assertions.assertFalse(u.getDataInfo().getInvisible()))));
+
+		tmp
+			.foreach(
+				r -> ((OafEntity) r.getPayload())
+					.getMeasures()
+					.stream()
+					.forEach(
+						m -> m
+							.getUnit()
+							.stream()
+							.forEach(
+								u -> Assertions
+									.assertEquals(
+										"measure:usage_counts",
+										u.getDataInfo().getProvenanceaction().getClassid()))));
+		tmp
+			.foreach(
+				r -> ((OafEntity) r.getPayload())
+					.getMeasures()
+					.stream()
+					.forEach(
+						m -> m
+							.getUnit()
+							.stream()
+							.forEach(
+								u -> Assertions
+									.assertEquals(
+										"Inferred by OpenAIRE",
+										u.getDataInfo().getProvenanceaction().getClassname()))));
+
+		tmp.filter(aa -> ((OafEntity) aa.getPayload()).getId().startsWith("40|"))
+			.foreach(
+				r -> ((OafEntity) r.getPayload())
+					.getMeasures()
+					.stream()
+					.forEach(
+						m -> m
+							.getUnit()
+							.stream()
+							.forEach(
+								u -> Assertions
+									.assertEquals(
+										"count",
+										u.getKey()))));
+
+		Assertions
+				.assertEquals(
+						1,
+						tmp
+								.filter(
+										r -> ((OafEntity) r.getPayload())
+												.getId()
+												.equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6"))
+								.count());
+
+		OafEntity entity = (OafEntity) tmp.filter(aa -> ((OafEntity) aa.getPayload()).getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6")).first()
+				.getPayload();
+		
+		entity
+				.getMeasures()
+								.stream()
+								.forEach(
+										m -> Assertions.assertEquals(3, m.getUnit().size() ));
+
+		Measure downloads = entity.getMeasures()
+				.stream()
+				.filter(m -> m.getId().equals("downloads"))
+				.findFirst()
+				.get();
+
+
+		Assertions.assertEquals(String.valueOf(0), downloads.getUnit().stream().filter(u -> u.getKey().equals("10|fake1")).findFirst().get().getValue());
+		Assertions.assertEquals(String.valueOf(0), downloads.getUnit().stream().filter(u -> u.getKey().equals("10|fake2")).findFirst().get().getValue());
+		Assertions.assertEquals(String.valueOf(1), downloads.getUnit().stream().filter(u -> u.getKey().equals("10|fake3")).findFirst().get().getValue());
+
+		Measure views = entity.getMeasures()
+				.stream()
+				.filter(m -> m.getId().equals("views"))
+				.findFirst()
+				.get();
+
+		Assertions.assertEquals(String.valueOf(5), views.getUnit().stream().filter(u -> u.getKey().equals("10|fake1")).findFirst().get().getValue());
+		Assertions.assertEquals(String.valueOf(1), views.getUnit().stream().filter(u -> u.getKey().equals("10|fake2")).findFirst().get().getValue());
+		Assertions.assertEquals(String.valueOf(3), views.getUnit().stream().filter(u -> u.getKey().equals("10|fake3")).findFirst().get().getValue());
+
+		tmp.filter(aa -> ((OafEntity) aa.getPayload()).getId().startsWith("10|"))
+				.foreach(
+						r -> ((OafEntity) r.getPayload())
+								.getMeasures()
+								.stream()
+								.forEach(
+										m -> m
+												.getUnit()
+												.stream()
+												.forEach(
+														u -> Assertions
+																.assertEquals(
+																		"count",
+																		u.getKey()))));
+
+
+		Assertions
+			.assertEquals(
+				"0",
+				tmp
+					.map(r -> ((OafEntity) r.getPayload()))
+					.filter(r -> r.getId().equals("40|f1__________::53575dc69e9ace947e02d47ecd54a7a6"))
+					.collect()
+					.get(0)
+					.getMeasures()
+					.stream()
+					.filter(m -> m.getId().equals("downloads"))
+					.collect(Collectors.toList())
+					.get(0)
+					.getUnit()
+					.get(0)
+					.getValue());
+		Assertions
+			.assertEquals(
+				"5",
+				tmp
+					.map(r -> ((OafEntity) r.getPayload()))
+					.filter(r -> r.getId().equals("40|f1__________::53575dc69e9ace947e02d47ecd54a7a6"))
+					.collect()
+					.get(0)
+					.getMeasures()
+					.stream()
+					.filter(m -> m.getId().equals("views"))
+					.collect(Collectors.toList())
+					.get(0)
+					.getUnit()
+					.get(0)
+					.getValue());
+
+		Assertions
+			.assertEquals(
+				"0",
+				tmp
+					.map(r -> ((OafEntity) r.getPayload()))
+					.filter(r -> r.getId().equals("40|f11_________::17eda2ff77407538fbe5d3d719b9d1c0"))
+					.collect()
+					.get(0)
+					.getMeasures()
+					.stream()
+					.filter(m -> m.getId().equals("downloads"))
+					.collect(Collectors.toList())
+					.get(0)
+					.getUnit()
+					.get(0)
+					.getValue());
+		Assertions
+			.assertEquals(
+				"1",
+				tmp
+					.map(r -> ((OafEntity) r.getPayload()))
+					.filter(r -> r.getId().equals("40|f11_________::17eda2ff77407538fbe5d3d719b9d1c0"))
+					.collect()
+					.get(0)
+					.getMeasures()
+					.stream()
+					.filter(m -> m.getId().equals("views"))
+					.collect(Collectors.toList())
+					.get(0)
+					.getUnit()
+					.get(0)
+					.getValue());
+
+		Assertions
+			.assertEquals(
+				"2",
+				tmp
+					.map(r -> ((OafEntity) r.getPayload()))
+					.filter(r -> r.getId().equals("40|f12_________::3085e4c6e051378ca6157fe7f0430c1f"))
+					.collect()
+					.get(0)
+					.getMeasures()
+					.stream()
+					.filter(m -> m.getId().equals("downloads"))
+					.collect(Collectors.toList())
+					.get(0)
+					.getUnit()
+					.get(0)
+					.getValue());
+		Assertions
+			.assertEquals(
+				"6",
+				tmp
+					.map(r -> ((OafEntity) r.getPayload()))
+					.filter(r -> r.getId().equals("40|f12_________::3085e4c6e051378ca6157fe7f0430c1f"))
+					.collect()
+					.get(0)
+					.getMeasures()
+					.stream()
+					.filter(m -> m.getId().equals("views"))
+					.collect(Collectors.toList())
+					.get(0)
+					.getUnit()
+					.get(0)
+					.getValue());
+
+		Assertions
+			.assertEquals(
+				"0",
+				tmp
+					.map(r -> ((OafEntity) r.getPayload()))
+					.filter(r -> r.getId().equals("10|d1__________::53575dc69e9ace947e02d47ecd54a7a6"))
+					.collect()
+					.get(0)
+					.getMeasures()
+					.stream()
+					.filter(m -> m.getId().equals("downloads"))
+					.collect(Collectors.toList())
+					.get(0)
+					.getUnit()
+					.get(0)
+					.getValue());
+		Assertions
+			.assertEquals(
+				"5",
+				tmp
+					.map(r -> ((OafEntity) r.getPayload()))
+					.filter(r -> r.getId().equals("10|d1__________::53575dc69e9ace947e02d47ecd54a7a6"))
+					.collect()
+					.get(0)
+					.getMeasures()
+					.stream()
+					.filter(m -> m.getId().equals("views"))
+					.collect(Collectors.toList())
+					.get(0)
+					.getUnit()
+					.get(0)
+					.getValue());
+
+		Assertions
+			.assertEquals(
+				"0",
+				tmp
+					.map(r -> ((OafEntity) r.getPayload()))
+					.filter(r -> r.getId().equals("10|d11_________::17eda2ff77407538fbe5d3d719b9d1c0"))
+					.collect()
+					.get(0)
+					.getMeasures()
+					.stream()
+					.filter(m -> m.getId().equals("downloads"))
+					.collect(Collectors.toList())
+					.get(0)
+					.getUnit()
+					.get(0)
+					.getValue());
+		Assertions
+			.assertEquals(
+				"1",
+				tmp
+					.map(r -> ((OafEntity) r.getPayload()))
+					.filter(r -> r.getId().equals("10|d11_________::17eda2ff77407538fbe5d3d719b9d1c0"))
+					.collect()
+					.get(0)
+					.getMeasures()
+					.stream()
+					.filter(m -> m.getId().equals("views"))
+					.collect(Collectors.toList())
+					.get(0)
+					.getUnit()
+					.get(0)
+					.getValue());
+
+		Assertions
+			.assertEquals(
+				"2",
+				tmp
+					.map(r -> ((OafEntity) r.getPayload()))
+					.filter(r -> r.getId().equals("10|d12_________::3085e4c6e051378ca6157fe7f0430c1f"))
+					.collect()
+					.get(0)
+					.getMeasures()
+					.stream()
+					.filter(m -> m.getId().equals("downloads"))
+					.collect(Collectors.toList())
+					.get(0)
+					.getUnit()
+					.get(0)
+					.getValue());
+		Assertions
+			.assertEquals(
+				"6",
+				tmp
+					.map(r -> ((OafEntity) r.getPayload()))
+					.filter(r -> r.getId().equals("10|d12_________::3085e4c6e051378ca6157fe7f0430c1f"))
+					.collect()
+					.get(0)
+					.getMeasures()
+					.stream()
+					.filter(m -> m.getId().equals("views"))
+					.collect(Collectors.toList())
+					.get(0)
+					.getUnit()
+					.get(0)
+					.getValue());
+	}
 	@Test
 	void testMatch() {
 		String usageScoresPath = getClass()
-			.getResource("/eu/dnetlib/dhp/actionmanager/usagestats")
+				.getResource("/eu/dnetlib/dhp/actionmanager/usagestats/test1")
 				.getPath();
 
 		SparkAtomicActionUsageJob.writeActionSet(spark, usageScoresPath, workingDir.toString() + "/actionSet");
@@ -143,7 +490,37 @@ public class SparkAtomicActionCountJobTest {
 																		"Inferred by OpenAIRE",
 																		u.getDataInfo().getProvenanceaction().getClassname()))));
 
-		tmp
+		tmp.filter(aa -> ((OafEntity) aa.getPayload()).getId().startsWith("40|"))
+				.foreach(
+						r -> ((OafEntity) r.getPayload())
+								.getMeasures()
+								.stream()
+								.forEach(
+										m -> m
+												.getUnit()
+												.stream()
+												.forEach(
+														u -> Assertions
+																.assertEquals(
+																		"count",
+																		u.getKey()))));
+
+		tmp.filter(aa -> ((OafEntity) aa.getPayload()).getId().startsWith("50|"))
+				.foreach(
+						r -> ((OafEntity) r.getPayload())
+								.getMeasures()
+								.stream()
+								.forEach(
+										m -> m
+												.getUnit()
+												.stream()
+												.forEach(
+														u -> Assertions
+																.assertEquals(
+																		"10|fake1",
+																		u.getKey()))));
+
+		tmp.filter(aa -> ((OafEntity) aa.getPayload()).getId().startsWith("10|"))
 				.foreach(
 						r -> ((OafEntity) r.getPayload())
 								.getMeasures()
@@ -465,5 +842,4 @@ public class SparkAtomicActionCountJobTest {
 								.get(0)
 								.getValue());
 	}
-
 }

dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/usagestats/test1/usageDb

@@ -0,0 +1,9 @@
+{"id":"dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6","datasourceId":"10|fake1","downloads":0,"views":5}
+{"id":"doi_________::17eda2ff77407538fbe5d3d719b9d1c0","datasourceId":"10|fake1","downloads":0,"views":1}
+{"id":"doi_________::1d4dc08605fd0a2be1105d30c63bfea1","datasourceId":"10|fake1","downloads":1,"views":3}
+{"id":"doi_________::2e3527822854ca9816f6dfea5bff61a8","datasourceId":"10|fake1","downloads":1,"views":1}
+{"id":"doi_________::3085e4c6e051378ca6157fe7f0430c1f","datasourceId":"10|fake1","downloads":2,"views":6}
+{"id":"doi_________::33f710e6dd30cc5e67e35b371ddc33cf","datasourceId":"10|fake1","downloads":0,"views":1}
+{"id":"doi_________::39738ebf10654732dd3a7af9f24655f8","datasourceId":"10|fake1","downloads":1,"views":3}
+{"id":"doi_________::3c3b65f07c1a06c7894397eda1d11bbf","datasourceId":"10|fake1","downloads":1,"views":10}
+{"id":"doi_________::4938a71a884dd481d329657aa543b850","datasourceId":"10|fake1","downloads":0,"views":3}

dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/usagestats/test2/datasourceDb

@@ -0,0 +1,9 @@
+{"id":"d1__________::53575dc69e9ace947e02d47ecd54a7a6","downloads":0,"views":5}
+{"id":"d11_________::17eda2ff77407538fbe5d3d719b9d1c0","downloads":0,"views":1}
+{"id":"d11_________::1d4dc08605fd0a2be1105d30c63bfea1","downloads":1,"views":3}
+{"id":"d11_________::2e3527822854ca9816f6dfea5bff61a8","downloads":1,"views":1}
+{"id":"d12_________::3085e4c6e051378ca6157fe7f0430c1f","downloads":2,"views":6}
+{"id":"d12_________::33f710e6dd30cc5e67e35b371ddc33cf","downloads":0,"views":1}
+{"id":"d12_________::39738ebf10654732dd3a7af9f24655f8","downloads":1,"views":3}
+{"id":"d13_________::3c3b65f07c1a06c7894397eda1d11bbf","downloads":1,"views":10}
+{"id":"d13_________::4938a71a884dd481d329657aa543b850","downloads":0,"views":3}

dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/usagestats/test2/projectDb

@@ -0,0 +1,9 @@
+{"id":"f1__________::53575dc69e9ace947e02d47ecd54a7a6","downloads":0,"views":5}
+{"id":"f11_________::17eda2ff77407538fbe5d3d719b9d1c0","downloads":0,"views":1}
+{"id":"f11_________::1d4dc08605fd0a2be1105d30c63bfea1","downloads":1,"views":3}
+{"id":"f11_________::2e3527822854ca9816f6dfea5bff61a8","downloads":1,"views":1}
+{"id":"f12_________::3085e4c6e051378ca6157fe7f0430c1f","downloads":2,"views":6}
+{"id":"f12_________::33f710e6dd30cc5e67e35b371ddc33cf","downloads":0,"views":1}
+{"id":"f12_________::39738ebf10654732dd3a7af9f24655f8","downloads":1,"views":3}
+{"id":"f13_________::3c3b65f07c1a06c7894397eda1d11bbf","downloads":1,"views":10}
+{"id":"f13_________::4938a71a884dd481d329657aa543b850","downloads":0,"views":3}

dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/usagestats/test2/usageDb

@@ -0,0 +1,9 @@
+{"id":"dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6","datasourceId":"10|fake1","downloads":0,"views":5}
+{"id":"dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6","datasourceId":"10|fake2","downloads":0,"views":1}
+{"id":"dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6","datasourceId":"10|fake3","downloads":1,"views":3}
+{"id":"doi_________::2e3527822854ca9816f6dfea5bff61a8","datasourceId":"10|fake1","downloads":1,"views":1}
+{"id":"doi_________::3085e4c6e051378ca6157fe7f0430c1f","datasourceId":"10|fake1","downloads":2,"views":6}
+{"id":"doi_________::33f710e6dd30cc5e67e35b371ddc33cf","datasourceId":"10|fake1","downloads":0,"views":1}
+{"id":"doi_________::39738ebf10654732dd3a7af9f24655f8","datasourceId":"10|fake1","downloads":1,"views":3}
+{"id":"doi_________::3c3b65f07c1a06c7894397eda1d11bbf","datasourceId":"10|fake1","downloads":1,"views":10}
+{"id":"doi_________::4938a71a884dd481d329657aa543b850","datasourceId":"10|fake1","downloads":0,"views":3}

dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/usagestats/usageDb

@@ -1,9 +0,0 @@
-{"id":"dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6","downloads":0,"views":5}
-{"id":"doi_________::17eda2ff77407538fbe5d3d719b9d1c0","downloads":0,"views":1}
-{"id":"doi_________::1d4dc08605fd0a2be1105d30c63bfea1","downloads":1,"views":3}
-{"id":"doi_________::2e3527822854ca9816f6dfea5bff61a8","downloads":1,"views":1}
-{"id":"doi_________::3085e4c6e051378ca6157fe7f0430c1f","downloads":2,"views":6}
-{"id":"doi_________::33f710e6dd30cc5e67e35b371ddc33cf","downloads":0,"views":1}
-{"id":"doi_________::39738ebf10654732dd3a7af9f24655f8","downloads":1,"views":3}
-{"id":"doi_________::3c3b65f07c1a06c7894397eda1d11bbf","downloads":1,"views":10}
-{"id":"doi_________::4938a71a884dd481d329657aa543b850","downloads":0,"views":3}