package eu.dnetlib.dhp.actionmanager.project; import java.io.IOException; import java.nio.file.Files; import java.nio.file.Path; 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.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.utils.CSVProgramme; public class PrepareH2020ProgrammeTest { private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); private static final ClassLoader cl = PrepareH2020ProgrammeTest.class .getClassLoader(); private static SparkSession spark; private static Path workingDir; private static final Logger log = LoggerFactory .getLogger(PrepareH2020ProgrammeTest.class); @BeforeAll public static void beforeAll() throws IOException { workingDir = Files .createTempDirectory(PrepareH2020ProgrammeTest.class.getSimpleName()); log.info("using work dir {}", workingDir); SparkConf conf = new SparkConf(); conf.setAppName(PrepareH2020ProgrammeTest.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(PrepareH2020ProgrammeTest.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()); // tmp.foreach(csvProgramme -> System.out.println(OBJECT_MAPPER.writeValueAsString(csvProgramme))); 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)); Assertions .assertEquals( "Industrial leadership | Leadership in enabling and industrial technologies | Biotechnology", verificationDataset .filter("code = 'H2020-EU.2.1.4.'") .select("classification") .collectAsList() .get(0) .getString(0)); } }