dhp-graph-mapper workflow tests upgraded to junit5
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package eu.dnetlib.dhp.graph;
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import org.apache.spark.api.java.JavaSparkContext;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.SparkSession;
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import scala.Tuple2;
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import java.util.List;
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import java.util.stream.Collectors;
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public class SparkGraphImportCounterTest {
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public static List<Tuple2<String, Long>> countEntities(final String inputPath) throws Exception {
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final SparkSession spark = SparkSession
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.builder()
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.appName(SparkGraphImportCounterTest.class.getSimpleName())
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.master("local[*]")
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.getOrCreate();
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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return GraphMappingUtils.types.entrySet()
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.stream()
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.map(entry -> {
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final Long count = spark.read().load(inputPath + "/" + entry.getKey()).as(Encoders.bean(entry.getValue())).count();
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return new Tuple2<String, Long>(entry.getKey(), count);
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})
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.collect(Collectors.toList());
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}
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}
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package eu.dnetlib.dhp.graph;
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package eu.dnetlib.dhp.graph;
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import org.apache.commons.io.FileUtils;
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import org.apache.spark.api.java.JavaSparkContext;
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import org.junit.*;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.SparkSession;
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import org.junit.jupiter.api.Assertions;
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import org.junit.jupiter.api.Disabled;
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import org.junit.jupiter.api.Test;
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import org.junit.jupiter.api.io.TempDir;
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import scala.Tuple2;
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import java.io.IOException;
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import java.nio.file.Files;
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import java.nio.file.Path;
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import java.nio.file.Path;
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import java.util.List;
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import java.util.stream.Collectors;
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public class SparkGraphImporterJobTest {
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public class SparkGraphImporterJobTest {
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private static final long MAX = 1000L;
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private static final long MAX = 1000L;
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private Path testDir;
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@BeforeEach
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@Disabled("must be parametrized to run locally")
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public void setup() throws IOException {
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public void testImport(@TempDir Path outPath) throws Exception {
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testDir = Files.createTempDirectory(getClass().getSimpleName());
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}
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@AfterEach
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public void tearDown() throws IOException {
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FileUtils.deleteDirectory(testDir.toFile());
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}
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@Test
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@Ignore
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public void testImport() throws Exception {
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SparkGraphImporterJob.main(new String[] {
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SparkGraphImporterJob.main(new String[] {
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"-mt", "local[*]",
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"-mt", "local[*]",
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"-i", getClass().getResource("/eu/dnetlib/dhp/dhp-sample/part-m-00010").getPath(),
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"-s", getClass().getResource("/eu/dnetlib/dhp/dhp-sample/publication_10001.json.gz").getPath(),
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"-o", testDir.toString()});
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"-h", "",
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"-db", "test"
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});
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SparkGraphImportCounterTest.countEntities(testDir.toString()).forEach(t -> {
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countEntities(outPath.toString()).forEach(t -> {
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System.out.println(t);
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System.out.println(t);
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//Assert.assertEquals(String.format("mapped %s must be %s", t._1(), MAX), MAX, t._2().longValue());
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Assertions.assertEquals(MAX, t._2().longValue(), String.format("mapped %s must be %s", t._1(), MAX));
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});
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});
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}
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}
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public static List<Tuple2<String, Long>> countEntities(final String inputPath) {
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final SparkSession spark = SparkSession
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.builder()
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.appName(SparkGraphImporterJobTest.class.getSimpleName())
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.master("local[*]")
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.getOrCreate();
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//final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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return GraphMappingUtils.types.entrySet()
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.stream()
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.map(entry -> {
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final Long count = spark.read().load(inputPath + "/" + entry.getKey()).as(Encoders.bean(entry.getValue())).count();
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return new Tuple2<String, Long>(entry.getKey(), count);
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})
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.collect(Collectors.toList());
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}
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}
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}
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