package eu.dnetlib.dhp.actionmanager.usagestats; import static org.junit.jupiter.api.Assertions.assertEquals; import java.io.IOException; import java.nio.file.Files; import java.nio.file.Path; import java.util.stream.Collectors; import eu.dnetlib.dhp.schema.action.AtomicAction; import org.apache.commons.io.FileUtils; import org.apache.hadoop.io.Text; import org.apache.spark.SparkConf; import org.apache.spark.api.java.JavaRDD; import org.apache.spark.api.java.JavaSparkContext; 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.schema.oaf.Result; public class SparkAtomicActionCountJobTest { private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); private static SparkSession spark; private static Path workingDir; private static final Logger log = LoggerFactory .getLogger(SparkAtomicActionCountJobTest.class); @BeforeAll public static void beforeAll() throws IOException { workingDir = Files .createTempDirectory(SparkAtomicActionCountJobTest.class.getSimpleName()); log.info("using work dir {}", workingDir); SparkConf conf = new SparkConf(); conf.setAppName(SparkAtomicActionCountJobTest.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(SparkAtomicActionCountJobTest.class.getSimpleName()) .config(conf) .getOrCreate(); } @AfterAll public static void afterAll() throws IOException { FileUtils.deleteDirectory(workingDir.toFile()); spark.stop(); } @Test void testMatch() { String usageScoresPath = getClass() .getResource("/eu/dnetlib/dhp/actionmanager/usagestats/usagestatsdb") .getPath(); SparkAtomicActionUsageJob.writeActionSet(spark, usageScoresPath, workingDir.toString() + "/actionSet"); final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext()); JavaRDD tmp = sc.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class) .map(usm -> OBJECT_MAPPER.readValue(usm._2.getBytes(), AtomicAction.class)) .map(aa -> (Result) aa.getPayload()); Assertions.assertEquals(9, tmp.count()); tmp.foreach(r -> Assertions.assertEquals(2, r.getMeasures().size())); tmp .foreach( r -> r .getMeasures() .stream() .forEach( m -> m .getUnit() .stream() .forEach(u -> Assertions.assertFalse(u.getDataInfo().getDeletedbyinference())))); tmp .foreach( r -> r .getMeasures() .stream() .forEach( m -> m.getUnit().stream().forEach(u -> Assertions.assertTrue(u.getDataInfo().getInferred())))); tmp .foreach( r -> r .getMeasures() .stream() .forEach( m -> m .getUnit() .stream() .forEach(u -> Assertions.assertFalse(u.getDataInfo().getInvisible())))); tmp .foreach( r -> r .getMeasures() .stream() .forEach( m -> m .getUnit() .stream() .forEach( u -> Assertions .assertEquals( "measure:usage_counts", u.getDataInfo().getProvenanceaction().getClassid())))); tmp .foreach( r -> r .getMeasures() .stream() .forEach( m -> m .getUnit() .stream() .forEach( u -> Assertions .assertEquals( "Inferred by OpenAIRE", u.getDataInfo().getProvenanceaction().getClassname())))); tmp .foreach( r -> r .getMeasures() .stream() .forEach( m -> m .getUnit() .stream() .forEach( u -> Assertions .assertEquals( "count", u.getKey())))); Assertions .assertEquals( 1, tmp.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6")).count()); Assertions .assertEquals( "0", tmp .filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6")) .collect() .get(0) .getMeasures() .stream() .filter(m -> m.getId().equals("downloads")) .collect(Collectors.toList()) .get(0) .getUnit() .get(0) .getValue()); Assertions .assertEquals( "5", tmp .filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6")) .collect() .get(0) .getMeasures() .stream() .filter(m -> m.getId().equals("views")) .collect(Collectors.toList()) .get(0) .getUnit() .get(0) .getValue()); Assertions .assertEquals( "0", tmp .filter(r -> r.getId().equals("50|doi_________::17eda2ff77407538fbe5d3d719b9d1c0")) .collect() .get(0) .getMeasures() .stream() .filter(m -> m.getId().equals("downloads")) .collect(Collectors.toList()) .get(0) .getUnit() .get(0) .getValue()); Assertions .assertEquals( "1", tmp .filter(r -> r.getId().equals("50|doi_________::17eda2ff77407538fbe5d3d719b9d1c0")) .collect() .get(0) .getMeasures() .stream() .filter(m -> m.getId().equals("views")) .collect(Collectors.toList()) .get(0) .getUnit() .get(0) .getValue()); Assertions .assertEquals( "2", tmp .filter(r -> r.getId().equals("50|doi_________::3085e4c6e051378ca6157fe7f0430c1f")) .collect() .get(0) .getMeasures() .stream() .filter(m -> m.getId().equals("downloads")) .collect(Collectors.toList()) .get(0) .getUnit() .get(0) .getValue()); Assertions .assertEquals( "6", tmp .filter(r -> r.getId().equals("50|doi_________::3085e4c6e051378ca6157fe7f0430c1f")) .collect() .get(0) .getMeasures() .stream() .filter(m -> m.getId().equals("views")) .collect(Collectors.toList()) .get(0) .getUnit() .get(0) .getValue()); } }