334 lines
8.9 KiB
Java
334 lines
8.9 KiB
Java
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package eu.dnetlib.dhp.subjectpropagation;
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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.util.List;
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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.api.java.function.FlatMapFunction;
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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.PropagationConstant;
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import eu.dnetlib.dhp.schema.oaf.Publication;
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import eu.dnetlib.dhp.schema.oaf.Subject;
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import eu.dnetlib.dhp.subjecttoresultfromsemrel.SparkSubjectPropagationStep2;
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/**
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* @author miriam.baglioni
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* @Date 06/10/22
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*/
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public class SubjectPropagationJobTest {
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private static final Logger log = LoggerFactory.getLogger(SubjectPropagationJobTest.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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private static SparkSession spark;
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private static Path workingDir;
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@BeforeAll
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public static void beforeAll() throws IOException {
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workingDir = Files.createTempDirectory(SubjectPropagationJobTest.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(SubjectPropagationJobTest.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(SubjectPropagationJobTest.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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void testSparkSubjectToResultThroughSemRelJob() throws Exception {
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SparkSubjectPropagationStep2
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.main(
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new String[] {
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"-preparedPath", getClass()
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.getResource("/eu/dnetlib/dhp/subjectpropagation/preparedInfo")
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.getPath(),
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"-resultType", "publication",
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"-sourcePath", getClass()
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.getResource("/eu/dnetlib/dhp/subjectpropagation")
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.getPath(),
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"-isSparkSessionManaged", Boolean.FALSE.toString(),
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"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Publication",
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"-workingPath", workingDir.toString() + "/working",
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"-outputPath", workingDir.toString()
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});
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// 50|06cdd3ff4700::cd7711c65d518859f1d87056e2c45d98 should receive fake_fos, fake_sdg and fake_fos2
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// 50|06cdd3ff4700::93859bd27121c3ee7c6ee4bfb1790cba should receive fake_fos2
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final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
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JavaRDD<Publication> tmp = sc
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.textFile(workingDir.toString() + "/publication")
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.map(item -> OBJECT_MAPPER.readValue(item, Publication.class));
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Assertions.assertEquals(4, tmp.count());
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Assertions
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.assertEquals(
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2, tmp
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.filter(
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r -> r
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.getSubject()
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.stream()
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.anyMatch(
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s -> s
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.getDataInfo()
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.getInferenceprovenance()
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.equals(PropagationConstant.PROPAGATION_DATA_INFO_TYPE)))
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.count());
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JavaRDD<Subject> sbjs = tmp
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.flatMap((FlatMapFunction<Publication, Subject>) r -> r.getSubject().iterator())
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.filter(
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s -> s.getDataInfo().getInferenceprovenance().equals(PropagationConstant.PROPAGATION_DATA_INFO_TYPE));
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Assertions.assertEquals(4, sbjs.count());
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Assertions
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.assertEquals(
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4, sbjs
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.filter(
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s -> s
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.getDataInfo()
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.getProvenanceaction()
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.getClassid()
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.equals(PropagationConstant.PROPAGATION_SUBJECT_RESULT_SEMREL_CLASS_ID))
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.count());
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Assertions
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.assertEquals(
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4,
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sbjs
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.filter(
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s -> s
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.getDataInfo()
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.getProvenanceaction()
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.getClassname()
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.equals(PropagationConstant.PROPAGATION_SUBJECT_RESULT_SEMREL_CLASS_NAME))
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.count());
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Assertions.assertEquals(3, sbjs.filter(s -> s.getQualifier().getClassid().equals("FOS")).count());
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Assertions
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.assertEquals(3, sbjs.filter(s -> s.getQualifier().getClassname().equals("Field of Science")).count());
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Assertions.assertEquals(1, sbjs.filter(s -> s.getQualifier().getClassid().equals("SDG")).count());
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Assertions
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.assertEquals(
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1, sbjs.filter(s -> s.getQualifier().getClassname().equals("Support and Development Goals")).count());
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Assertions
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.assertEquals(
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6,
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tmp
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.filter(r -> r.getId().equals("50|06cdd3ff4700::cd7711c65d518859f1d87056e2c45d98"))
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.first()
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.getSubject()
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.size());
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Assertions
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.assertEquals(
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3, tmp
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.filter(
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r -> r
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.getId()
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.equals("50|06cdd3ff4700::cd7711c65d518859f1d87056e2c45d98"))
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.first()
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.getSubject()
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.stream()
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.filter(
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s -> s
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.getDataInfo()
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.getInferenceprovenance()
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.equals(PropagationConstant.PROPAGATION_DATA_INFO_TYPE))
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.count());
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Assertions
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.assertEquals(
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3, tmp
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.filter(
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r -> r
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.getId()
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.equals("50|06cdd3ff4700::cd7711c65d518859f1d87056e2c45d98"))
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.first()
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.getSubject()
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.stream()
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.filter(
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s -> !s
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.getDataInfo()
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.getInferenceprovenance()
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.equals(PropagationConstant.PROPAGATION_DATA_INFO_TYPE))
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.count());
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Assertions
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.assertEquals(
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2, tmp
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.filter(
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r -> r
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.getId()
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.equals("50|06cdd3ff4700::cd7711c65d518859f1d87056e2c45d98"))
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.first()
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.getSubject()
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.stream()
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.filter(
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s -> s
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.getDataInfo()
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.getInferenceprovenance()
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.equals(PropagationConstant.PROPAGATION_DATA_INFO_TYPE) &&
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s.getQualifier().getClassid().equals("FOS"))
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.count());
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Assertions
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.assertEquals(
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1, tmp
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.filter(
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r -> r
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.getId()
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.equals("50|06cdd3ff4700::cd7711c65d518859f1d87056e2c45d98"))
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.first()
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.getSubject()
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.stream()
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.filter(
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s -> s
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.getDataInfo()
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.getInferenceprovenance()
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.equals(PropagationConstant.PROPAGATION_DATA_INFO_TYPE) &&
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s.getQualifier().getClassid().equals("SDG"))
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.count());
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Assertions
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.assertTrue(
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tmp
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.filter(r -> r.getId().equals("50|06cdd3ff4700::cd7711c65d518859f1d87056e2c45d98"))
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.first()
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.getSubject()
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.stream()
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.anyMatch(s -> s.getValue().equals("fake_fos")));
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Assertions
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.assertTrue(
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tmp
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.filter(r -> r.getId().equals("50|06cdd3ff4700::cd7711c65d518859f1d87056e2c45d98"))
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.first()
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.getSubject()
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.stream()
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.anyMatch(s -> s.getValue().equals("fake_fos2")));
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Assertions
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.assertTrue(
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tmp
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.filter(r -> r.getId().equals("50|06cdd3ff4700::cd7711c65d518859f1d87056e2c45d98"))
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.first()
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.getSubject()
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.stream()
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.anyMatch(s -> s.getValue().equals("fake_sdg")));
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Assertions
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.assertEquals(
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6,
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tmp
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.filter(r -> r.getId().equals("50|06cdd3ff4700::93859bd27121c3ee7c6ee4bfb1790cba"))
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.first()
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.getSubject()
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.size());
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Assertions
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.assertEquals(
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1, tmp
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.filter(
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r -> r
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.getId()
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.equals("50|06cdd3ff4700::93859bd27121c3ee7c6ee4bfb1790cba"))
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.first()
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.getSubject()
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.stream()
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.filter(
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s -> s
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.getDataInfo()
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.getInferenceprovenance()
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.equals(PropagationConstant.PROPAGATION_DATA_INFO_TYPE))
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.count());
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Assertions
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.assertEquals(
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5, tmp
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.filter(
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r -> r
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.getId()
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.equals("50|06cdd3ff4700::93859bd27121c3ee7c6ee4bfb1790cba"))
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.first()
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.getSubject()
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.stream()
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.filter(
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s -> !s
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.getDataInfo()
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.getInferenceprovenance()
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.equals(PropagationConstant.PROPAGATION_DATA_INFO_TYPE))
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.count());
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Assertions
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.assertEquals(
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1, tmp
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.filter(
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r -> r
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.getId()
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.equals("50|06cdd3ff4700::93859bd27121c3ee7c6ee4bfb1790cba"))
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.first()
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.getSubject()
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.stream()
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.filter(
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s -> s
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.getDataInfo()
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.getInferenceprovenance()
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.equals(PropagationConstant.PROPAGATION_DATA_INFO_TYPE) &&
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s.getQualifier().getClassid().equals("FOS"))
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.count());
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Assertions
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.assertEquals(
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0, tmp
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.filter(
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r -> r
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.getId()
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.equals("50|06cdd3ff4700::93859bd27121c3ee7c6ee4bfb1790cba"))
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.first()
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.getSubject()
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.stream()
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.filter(
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s -> s
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.getDataInfo()
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.getInferenceprovenance()
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.equals(PropagationConstant.PROPAGATION_DATA_INFO_TYPE) &&
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s.getQualifier().getClassid().equals("SDG"))
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.count());
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Assertions
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.assertTrue(
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tmp
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.filter(r -> r.getId().equals("50|06cdd3ff4700::93859bd27121c3ee7c6ee4bfb1790cba"))
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.first()
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.getSubject()
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.stream()
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.anyMatch(s -> s.getValue().equals("fake_fos2")));
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}
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}
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