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