Added test to check if merge authors works

dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/sx/graph/SparkScholexplorerAggregationTest.scala

@@ -0,0 +1,54 @@
+package eu.dnetlib.dhp.sx.graph
+
+import com.fasterxml.jackson.databind.{ObjectMapper, SerializationFeature}
+import eu.dnetlib.dhp.schema.scholexplorer.DLIPublication
+import eu.dnetlib.dhp.sx.ebi.EBIAggregator
+import org.apache.spark.sql.{Dataset, Encoder, Encoders, SparkSession}
+import org.junit.jupiter.api.Assertions._
+import org.junit.jupiter.api.Test
+
+import scala.io.Source
+
+class SparkScholexplorerAggregationTest {
+
+
+  @Test
+  def testFunderRelationshipsMapping(): Unit = {
+    val publications = Source.fromInputStream(getClass.getResourceAsStream("publication.json")).mkString
+
+    var s: List[DLIPublication] = List[DLIPublication]()
+
+    val m: ObjectMapper = new ObjectMapper()
+
+    m.enable(SerializationFeature.INDENT_OUTPUT)
+
+    for (line <- publications.lines) {
+      s = m.readValue(line, classOf[DLIPublication]) :: s
+
+
+    }
+
+
+    implicit val pubEncoder: Encoder[DLIPublication] = Encoders.kryo[DLIPublication]
+    val spark: SparkSession = SparkSession.builder().appName("Test").master("local[*]").getOrCreate()
+
+
+    val ds: Dataset[DLIPublication] = spark.createDataset(spark.sparkContext.parallelize(s)).as[DLIPublication]
+
+    val unique = ds.map(d => (d.getId, d))(Encoders.tuple(Encoders.STRING, pubEncoder))
+      .groupByKey(_._1)(Encoders.STRING)
+      .agg(EBIAggregator.getDLIPublicationAggregator().toColumn)
+      .map(p => p._2)
+
+    val uniquePubs: DLIPublication = unique.first()
+
+    s.foreach(pp => assertFalse(pp.getAuthor.isEmpty))
+
+
+    assertNotNull(uniquePubs.getAuthor)
+    assertFalse(uniquePubs.getAuthor.isEmpty)
+
+
+  }
+
+}