dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/enrich/orcid/EnrichOrcidTest.scala

@@ -1,12 +1,78 @@
 package eu.dnetlib.dhp.enrich.orcid
-
+import eu.dnetlib.dhp.schema.oaf.Publication
-import org.apache.spark.SparkConf
+import org.apache.spark.sql.{Column, Encoder, Encoders, Row, SparkSession}
-import org.apache.spark.sql.SparkSession
 import org.junit.jupiter.api.Test
 import org.slf4j.{Logger, LoggerFactory}
+import org.apache.spark.sql.functions._
+
+
+case class Pid(pidScheme: String, pidValue: String) {}
+
+case class AuthorPid(fullName: String, pids: List[Pid]) {}
+
+case class PubSummary(id: String, authorWithPids: List[AuthorPid])
 
 class EnrichOrcidTest {
 
   val log: Logger = LoggerFactory.getLogger(getClass)
 
+
+  def orcid_intersection_wrong(p: PubSummary): PubSummary = {
+
+    if (p.authorWithPids.isEmpty)
+      null
+    else {
+      val incorrectAuthor = p.authorWithPids.filter(a => a.pids.filter(p => p.pidScheme != null && p.pidScheme.toLowerCase.contains("orcid")).map(p => p.pidValue.toLowerCase).distinct.size > 1)
+      if (incorrectAuthor.nonEmpty) {
+        PubSummary(p.id, incorrectAuthor)
+      }
+      else {
+        null
+      }
+    }
+  }
+
+
+
+  def test() = {
+    val spark = SparkSession.builder().master("local[*]").getOrCreate()
+    spark.sparkContext.setLogLevel("ERROR")
+
+    val schema = Encoders.bean(classOf[Publication]).schema
+
+
+    val simplifyAuthor = udf((r: Seq[Row]) => {
+      r
+        .map(k =>
+          AuthorPid(k.getAs[String]("fullname"),
+            k.getAs[Seq[Row]]("pid")
+              .map(
+                p => Pid(p.getAs[Row]("qualifier").getAs[String]("classid"), p.getAs[String]("value"))
+              ).toList)
+        ).filter(l => l.pids.nonEmpty)
+        .toList
+    }
+    )
+
+    val wrong_orcid_intersection = udf((a: Seq[Row]) => {
+      a.map(author => {
+        val pids_with_orcid: Seq[Row] = author.getAs[Seq[Row]]("pids").filter(p => p.getAs[String]("pidScheme")!= null && p.getAs[String]("pidScheme").toLowerCase.contains("orcid"))
+        if (pids_with_orcid.exists(p => p.getAs[String]("pidScheme").equals("ORCID"))) {
+          if (pids_with_orcid.map(p => p.getAs[String]("pidValue").toLowerCase).distinct.size > 1) {
+            AuthorPid(author.getAs[String]("fullName"),pids_with_orcid.map(p => Pid(p.getAs[String]("pidScheme"),p.getAs[String]("pidValue"))).toList )
+
+          }
+          else
+            null
+        } else
+
+          null
+      }).filter(author => author != null)
+    })
+    val enriched = spark.read.schema(schema).json("/Users/sandro/orcid_test/publication_enriched").select(col("id"), simplifyAuthor(col("author")).alias("authors"))
+      .select(col("id"), wrong_orcid_intersection(col("authors")).alias("wi")).where("wi is not null")
+    enriched.show(20, 1000, true)
+  }
+
+
 }