added unit test for the DispatchEntitiesJob
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@ -1,6 +1,8 @@
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package eu.dnetlib.dhp.oa.graph.group;
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import static org.junit.jupiter.api.Assertions.*;
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import java.io.IOException;
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import java.net.URISyntaxException;
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import java.nio.file.Files;
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@ -19,22 +21,34 @@ import org.junit.jupiter.api.*;
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import com.fasterxml.jackson.databind.DeserializationFeature;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.google.common.collect.Lists;
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import eu.dnetlib.dhp.common.HdfsSupport;
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import eu.dnetlib.dhp.oa.merge.DispatchEntitiesSparkJob;
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import eu.dnetlib.dhp.oa.merge.GroupEntitiesSparkJob;
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import eu.dnetlib.dhp.schema.common.ModelSupport;
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import eu.dnetlib.dhp.schema.oaf.Publication;
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import eu.dnetlib.dhp.schema.oaf.Result;
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import eu.dnetlib.dhp.utils.DHPUtils;
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@TestMethodOrder(MethodOrderer.OrderAnnotation.class)
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public class GroupEntitiesSparkJobTest {
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private static SparkSession spark;
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private Path workingDir;
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private Path graphInputPath;
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private static ObjectMapper mapper = new ObjectMapper()
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.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
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private Path outputPath;
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private static Path workingDir;
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private Path dataInputPath;
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private Path groupEntityPath;
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private Path dispatchEntityPath;
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@BeforeAll
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public static void beforeAll() {
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public static void beforeAll() throws IOException {
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workingDir = Files.createTempDirectory(GroupEntitiesSparkJob.class.getSimpleName());
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SparkConf conf = new SparkConf();
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conf.setAppName(GroupEntitiesSparkJob.class.getSimpleName());
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conf.setMaster("local");
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@ -45,48 +59,86 @@ public class GroupEntitiesSparkJobTest {
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@BeforeEach
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public void beforeEach() throws IOException, URISyntaxException {
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workingDir = Files.createTempDirectory(GroupEntitiesSparkJob.class.getSimpleName());
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graphInputPath = Paths.get(ClassLoader.getSystemResource("eu/dnetlib/dhp/oa/graph/group").toURI());
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outputPath = workingDir.resolve("output");
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}
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@AfterEach
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public void afterEach() throws IOException {
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FileUtils.deleteDirectory(workingDir.toFile());
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dataInputPath = Paths.get(ClassLoader.getSystemResource("eu/dnetlib/dhp/oa/graph/group").toURI());
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groupEntityPath = workingDir.resolve("grouped_entity");
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dispatchEntityPath = workingDir.resolve("dispatched_entity");
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}
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@AfterAll
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public static void afterAll() {
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public static void afterAll() throws IOException {
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spark.stop();
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FileUtils.deleteDirectory(workingDir.toFile());
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}
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@Test
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@Order(1)
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void testGroupEntities() throws Exception {
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GroupEntitiesSparkJob.main(new String[] {
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"-isSparkSessionManaged",
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Boolean.FALSE.toString(),
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"-graphInputPath",
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graphInputPath.toString(),
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dataInputPath.toString(),
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"-outputPath",
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outputPath.toString()
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groupEntityPath.toString()
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});
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ObjectMapper mapper = new ObjectMapper().configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
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Dataset<Result> output = spark
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.read()
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.textFile(outputPath.toString())
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.textFile(groupEntityPath.toString())
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.map((MapFunction<String, String>) s -> StringUtils.substringAfter(s, "|"), Encoders.STRING())
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.map((MapFunction<String, Result>) s -> mapper.readValue(s, Result.class), Encoders.bean(Result.class));
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Assertions
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.assertEquals(
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1,
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output
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.filter(
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(FilterFunction<Result>) r -> "50|doi_________::09821844208a5cd6300b2bfb13bca1b9"
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.equals(r.getId()) &&
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r.getCollectedfrom().stream().anyMatch(kv -> kv.getValue().equalsIgnoreCase("zenodo")))
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.count());
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assertEquals(
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1,
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output
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.filter(
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(FilterFunction<Result>) r -> "50|doi_________::09821844208a5cd6300b2bfb13bca1b9"
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.equals(r.getId()) &&
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r.getCollectedfrom().stream().anyMatch(kv -> kv.getValue().equalsIgnoreCase("zenodo")))
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.count());
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}
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@Test
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@Order(2)
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void testDispatchEntities() throws Exception {
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for (String type : Lists
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.newArrayList(
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Publication.class.getCanonicalName(), eu.dnetlib.dhp.schema.oaf.Dataset.class.getCanonicalName())) {
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String directory = StringUtils.substringAfterLast(type, ".").toLowerCase();
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DispatchEntitiesSparkJob.main(new String[] {
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"-isSparkSessionManaged",
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Boolean.FALSE.toString(),
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"-inputPath",
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groupEntityPath.toString(),
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"-outputPath",
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dispatchEntityPath.resolve(directory).toString(),
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"-graphTableClassName",
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type
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});
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}
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Dataset<Result> output = spark
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.read()
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.textFile(
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DHPUtils
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.toSeq(
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HdfsSupport
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.listFiles(dispatchEntityPath.toString(), spark.sparkContext().hadoopConfiguration())))
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.map((MapFunction<String, Result>) s -> mapper.readValue(s, Result.class), Encoders.bean(Result.class));
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assertEquals(3, output.count());
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assertEquals(
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2,
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output
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.map((MapFunction<Result, String>) r -> r.getResulttype().getClassid(), Encoders.STRING())
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.filter((FilterFunction<String>) s -> s.equals("publication"))
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.count());
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assertEquals(
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1,
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output
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.map((MapFunction<Result, String>) r -> r.getResulttype().getClassid(), Encoders.STRING())
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.filter((FilterFunction<String>) s -> s.equals("dataset"))
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.count());
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}
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}
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