150 lines
4.4 KiB
Java
150 lines
4.4 KiB
Java
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package eu.dnetlib.dhp.actionmanager.project;
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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 org.apache.commons.io.FileUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.JavaRDD;
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import org.apache.spark.api.java.JavaSparkContext;
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import org.apache.spark.sql.Dataset;
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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.AfterAll;
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import org.junit.jupiter.api.Assertions;
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import org.junit.jupiter.api.BeforeAll;
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import org.junit.jupiter.api.Test;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.actionmanager.project.utils.CSVProgramme;
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public class PrepareH2020ProgrammeTest {
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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private static final ClassLoader cl = PrepareH2020ProgrammeTest.class
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.getClassLoader();
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private static SparkSession spark;
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private static Path workingDir;
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private static final Logger log = LoggerFactory
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.getLogger(PrepareH2020ProgrammeTest.class);
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@BeforeAll
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public static void beforeAll() throws IOException {
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workingDir = Files
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.createTempDirectory(PrepareH2020ProgrammeTest.class.getSimpleName());
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log.info("using work dir {}", workingDir);
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SparkConf conf = new SparkConf();
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conf.setAppName(PrepareH2020ProgrammeTest.class.getSimpleName());
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conf.setMaster("local[*]");
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conf.set("spark.driver.host", "localhost");
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conf.set("hive.metastore.local", "true");
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conf.set("spark.ui.enabled", "false");
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conf.set("spark.sql.warehouse.dir", workingDir.toString());
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conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
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spark = SparkSession
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.builder()
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.appName(PrepareH2020ProgrammeTest.class.getSimpleName())
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.config(conf)
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.getOrCreate();
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}
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@AfterAll
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public static void afterAll() throws IOException {
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FileUtils.deleteDirectory(workingDir.toFile());
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spark.stop();
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}
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@Test
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public void numberDistinctProgrammeTest() throws Exception {
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PrepareProgramme
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.main(
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new String[] {
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"-isSparkSessionManaged",
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Boolean.FALSE.toString(),
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"-programmePath",
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getClass().getResource("/eu/dnetlib/dhp/actionmanager/project/whole_programme.json.gz").getPath(),
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"-outputPath",
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workingDir.toString() + "/preparedProgramme"
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});
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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JavaRDD<CSVProgramme> tmp = sc
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.textFile(workingDir.toString() + "/preparedProgramme")
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.map(item -> OBJECT_MAPPER.readValue(item, CSVProgramme.class));
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Assertions.assertEquals(277, tmp.count());
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Dataset<CSVProgramme> verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(CSVProgramme.class));
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Assertions.assertEquals(0, verificationDataset.filter("title =''").count());
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Assertions.assertEquals(0, verificationDataset.filter("classification = ''").count());
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// tmp.foreach(csvProgramme -> System.out.println(OBJECT_MAPPER.writeValueAsString(csvProgramme)));
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Assertions
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.assertEquals(
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"Societal challenges | Smart, Green And Integrated Transport | CLEANSKY2 | IADP Fast Rotorcraft",
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verificationDataset
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.filter("code = 'H2020-EU.3.4.5.3.'")
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.select("classification")
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.collectAsList()
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.get(0)
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.getString(0));
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Assertions
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.assertEquals(
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"Euratom | Indirect actions | European Fusion Development Agreement",
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verificationDataset
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.filter("code = 'H2020-Euratom-1.9.'")
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.select("classification")
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.collectAsList()
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.get(0)
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.getString(0));
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Assertions
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.assertEquals(
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"Industrial leadership | Leadership in enabling and industrial technologies | Advanced manufacturing and processing | New sustainable business models",
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verificationDataset
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.filter("code = 'H2020-EU.2.1.5.4.'")
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.select("classification")
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.collectAsList()
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.get(0)
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.getString(0));
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Assertions
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.assertEquals(
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"Excellent science | Future and Emerging Technologies (FET) | FET Open",
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verificationDataset
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.filter("code = 'H2020-EU.1.2.1.'")
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.select("classification")
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.collectAsList()
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.get(0)
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.getString(0));
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Assertions
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.assertEquals(
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"Industrial leadership | Leadership in enabling and industrial technologies | Biotechnology",
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verificationDataset
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.filter("code = 'H2020-EU.2.1.4.'")
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.select("classification")
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.collectAsList()
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.get(0)
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.getString(0));
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}
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}
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