[EOSCTag] first test
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package eu.dnetlib.dhp.bulktag;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.schema.oaf.Dataset;
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import eu.dnetlib.dhp.schema.oaf.OtherResearchProduct;
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import eu.dnetlib.dhp.schema.oaf.Publication;
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import eu.dnetlib.dhp.schema.oaf.Software;
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import org.apache.commons.io.FileUtils;
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import org.apache.commons.io.IOUtils;
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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.Encoders;
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import org.apache.spark.sql.Row;
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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 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 static eu.dnetlib.dhp.bulktag.community.TaggingConstants.ZENODO_COMMUNITY_INDICATOR;
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public class EOSCTagJobTest {
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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public static final String MOCK_IS_LOOK_UP_URL = "BASEURL:8280/is/services/isLookUp";
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public static final String pathMap = "{ \"author\" : \"$['author'][*]['fullname']\","
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+ " \"title\" : \"$['title'][*]['value']\","
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+ " \"orcid\" : \"$['author'][*]['pid'][*][?(@['key']=='ORCID')]['value']\","
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+ " \"contributor\" : \"$['contributor'][*]['value']\","
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+ " \"description\" : \"$['description'][*]['value']\"}";
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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.getLogger(EOSCTagJobTest.class);
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private static String taggingConf = "";
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static {
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try {
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taggingConf = IOUtils
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.toString(
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EOSCTagJobTest.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/bulktag/communityconfiguration/tagging_conf.xml"));
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} catch (IOException e) {
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e.printStackTrace();
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}
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}
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@BeforeAll
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public static void beforeAll() throws IOException {
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workingDir = Files.createTempDirectory(EOSCTagJobTest.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(EOSCTagJobTest.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(EOSCTagJobTest.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 noUpdatesTest() throws Exception {
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final String pathMap = EOSCTagJobTest.pathMap;
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SparkBulkTagJob
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.main(
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new String[] {
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"-isTest", Boolean.TRUE.toString(),
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"-isSparkSessionManaged", Boolean.FALSE.toString(),
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"-sourcePath",
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getClass().getResource("/eu/dnetlib/dhp/bulktag/sample/dataset/no_updates").getPath(),
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"-taggingConf", taggingConf,
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"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Dataset",
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"-outputPath", workingDir.toString() + "/dataset",
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"-isLookUpUrl", MOCK_IS_LOOK_UP_URL,
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"-pathMap", pathMap
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});
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final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
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JavaRDD<Dataset> tmp = sc
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.textFile(workingDir.toString() + "/dataset")
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.map(item -> OBJECT_MAPPER.readValue(item, Dataset.class));
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Assertions.assertEquals(10, tmp.count());
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org.apache.spark.sql.Dataset<Dataset> verificationDataset = spark
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.createDataset(tmp.rdd(), Encoders.bean(Dataset.class));
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verificationDataset.createOrReplaceTempView("dataset");
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String query = "select id, MyT.id community "
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+ "from dataset "
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+ "lateral view explode(context) c as MyT "
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+ "lateral view explode(MyT.datainfo) d as MyD "
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+ "where MyD.inferenceprovenance = 'bulktagging'";
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Assertions.assertEquals(0, spark.sql(query).count());
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}
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@Test
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void bulktagBySubjectNoPreviousContextTest() throws Exception {
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final String sourcePath = getClass()
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.getResource("/eu/dnetlib/dhp/bulktag/sample/dataset/update_subject/nocontext")
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.getPath();
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final String pathMap = EOSCTagJobTest.pathMap;
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SparkBulkTagJob
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.main(
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new String[] {
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"-isTest", Boolean.TRUE.toString(),
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"-isSparkSessionManaged", Boolean.FALSE.toString(),
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"-sourcePath", sourcePath,
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"-taggingConf", taggingConf,
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"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Dataset",
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"-outputPath", workingDir.toString() + "/dataset",
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"-isLookUpUrl", MOCK_IS_LOOK_UP_URL,
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"-pathMap", pathMap
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});
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final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
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JavaRDD<Dataset> tmp = sc
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.textFile(workingDir.toString() + "/dataset")
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.map(item -> OBJECT_MAPPER.readValue(item, Dataset.class));
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Assertions.assertEquals(10, tmp.count());
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org.apache.spark.sql.Dataset<Dataset> verificationDataset = spark
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.createDataset(tmp.rdd(), Encoders.bean(Dataset.class));
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verificationDataset.createOrReplaceTempView("dataset");
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String query = "select id, MyT.id community, MyD.provenanceaction.classid provenance, MyD.provenanceaction.classname name "
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+ "from dataset "
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+ "lateral view explode(context) c as MyT "
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+ "lateral view explode(MyT.datainfo) d as MyD "
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+ "where MyD.inferenceprovenance = 'bulktagging'";
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Assertions.assertEquals(5, spark.sql(query).count());
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org.apache.spark.sql.Dataset<Row> idExplodeCommunity = spark.sql(query);
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Assertions
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.assertEquals(
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5, idExplodeCommunity.filter("provenance = 'community:subject'").count());
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Assertions
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.assertEquals(
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5,
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idExplodeCommunity.filter("name = 'Bulktagging for Community - Subject'").count());
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Assertions.assertEquals(2, idExplodeCommunity.filter("community = 'covid-19'").count());
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Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'mes'").count());
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Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'fam'").count());
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Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'aginfra'").count());
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Assertions
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.assertEquals(
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1,
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idExplodeCommunity
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.filter("id = '50|od______3989::02dd5d2c222191b0b9bd4f33c8e96529'")
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.count());
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Assertions
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.assertEquals(
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1,
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idExplodeCommunity
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.filter(
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"community = 'covid-19' and id = '50|od______3989::02dd5d2c222191b0b9bd4f33c8e96529'")
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.count());
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Assertions
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.assertEquals(
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2,
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idExplodeCommunity
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.filter("id = '50|od______3989::05d8c751462f9bb8d2b06956dfbc5c7b'")
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.count());
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Assertions
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.assertEquals(
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2,
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idExplodeCommunity
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.filter(
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"(community = 'covid-19' or community = 'aginfra') and id = '50|od______3989::05d8c751462f9bb8d2b06956dfbc5c7b'")
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.count());
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Assertions
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.assertEquals(
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2,
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idExplodeCommunity
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.filter("id = '50|od______3989::0f89464c4ac4c398fe0c71433b175a62'")
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.count());
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Assertions
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.assertEquals(
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2,
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idExplodeCommunity
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.filter(
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"(community = 'mes' or community = 'fam') and id = '50|od______3989::0f89464c4ac4c398fe0c71433b175a62'")
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.count());
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}
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@Test
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void bulktagBySubjectPreviousContextNoProvenanceTest() throws Exception {
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final String sourcePath = getClass()
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.getResource(
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"/eu/dnetlib/dhp/bulktag/sample/dataset/update_subject/contextnoprovenance")
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.getPath();
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final String pathMap = EOSCTagJobTest.pathMap;
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SparkBulkTagJob
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.main(
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new String[] {
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"-isTest", Boolean.TRUE.toString(),
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"-isSparkSessionManaged", Boolean.FALSE.toString(),
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"-sourcePath", sourcePath,
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"-taggingConf", taggingConf,
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"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Dataset",
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"-outputPath", workingDir.toString() + "/dataset",
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"-isLookUpUrl", MOCK_IS_LOOK_UP_URL,
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"-pathMap", pathMap
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});
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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JavaRDD<Dataset> tmp = sc
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.textFile(workingDir.toString() + "/dataset")
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.map(item -> OBJECT_MAPPER.readValue(item, Dataset.class));
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Assertions.assertEquals(10, tmp.count());
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org.apache.spark.sql.Dataset<Dataset> verificationDataset = spark
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.createDataset(tmp.rdd(), Encoders.bean(Dataset.class));
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verificationDataset.createOrReplaceTempView("dataset");
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String query = "select id, MyT.id community, MyD.provenanceaction.classid provenance "
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+ "from dataset "
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+ "lateral view explode(context) c as MyT "
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+ "lateral view explode(MyT.datainfo) d as MyD "
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+ "where MyT.id = 'covid-19' ";
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Assertions.assertEquals(3, spark.sql(query).count());
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org.apache.spark.sql.Dataset<Row> communityContext = spark.sql(query);
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Assertions
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.assertEquals(
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2,
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communityContext
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.filter("id = '50|od______3989::02dd5d2c222191b0b9bd4f33c8e96529'")
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.count());
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Assertions
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.assertEquals(
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1,
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communityContext
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.filter(
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"id = '50|od______3989::02dd5d2c222191b0b9bd4f33c8e96529' and provenance = 'community:subject'")
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.count());
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Assertions
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.assertEquals(
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1,
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communityContext
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.filter(
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"id = '50|od______3989::02dd5d2c222191b0b9bd4f33c8e96529' and provenance = 'propagation:community:productsthroughsemrel'")
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.count());
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query = "select id, MyT.id community, size(MyT.datainfo) datainfosize "
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+ "from dataset "
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+ "lateral view explode (context) as MyT "
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+ "where size(MyT.datainfo) > 0";
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Assertions
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.assertEquals(
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2,
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spark
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.sql(query)
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.select("datainfosize")
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.where(
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"id = '50|od______3989::02dd5d2c222191b0b9bd4f33c8e96529' a"
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+ "nd community = 'covid-19'")
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.collectAsList()
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.get(0)
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.getInt(0));
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}
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@Test
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void bulktagByDatasourceTest() throws Exception {
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final String sourcePath = getClass()
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.getResource("/eu/dnetlib/dhp/bulktag/sample/publication/update_datasource")
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.getPath();
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SparkBulkTagJob
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.main(
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new String[] {
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"-isTest", Boolean.TRUE.toString(),
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"-isSparkSessionManaged", Boolean.FALSE.toString(),
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"-sourcePath", sourcePath,
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"-taggingConf", taggingConf,
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"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Publication",
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"-outputPath", workingDir.toString() + "/publication",
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"-isLookUpUrl", MOCK_IS_LOOK_UP_URL,
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"-pathMap", pathMap
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});
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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(10, tmp.count());
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org.apache.spark.sql.Dataset<Publication> verificationDataset = spark
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.createDataset(tmp.rdd(), Encoders.bean(Publication.class));
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verificationDataset.createOrReplaceTempView("publication");
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String query = "select id, MyT.id community, MyD.provenanceaction.classid provenance, MyD.provenanceaction.classname name "
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+ "from publication "
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+ "lateral view explode(context) c as MyT "
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+ "lateral view explode(MyT.datainfo) d as MyD "
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+ "where MyD.inferenceprovenance = 'bulktagging'";
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org.apache.spark.sql.Dataset<Row> idExplodeCommunity = spark.sql(query);
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Assertions.assertEquals(5, idExplodeCommunity.count());
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Assertions
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.assertEquals(
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5, idExplodeCommunity.filter("provenance = 'community:datasource'").count());
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Assertions
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.assertEquals(
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5,
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idExplodeCommunity
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.filter("name = 'Bulktagging for Community - Datasource'")
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.count());
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Assertions.assertEquals(3, idExplodeCommunity.filter("community = 'fam'").count());
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Assertions.assertEquals(2, idExplodeCommunity.filter("community = 'aginfra'").count());
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Assertions
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.assertEquals(
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3,
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idExplodeCommunity
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.filter(
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"community = 'fam' and (id = '50|ec_fp7health::000085c89f4b96dc2269bd37edb35306' "
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+ "or id = '50|ec_fp7health::000b9e61f83f5a4b0c35777b7bccdf38' "
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+ "or id = '50|ec_fp7health::0010eb63e181e3e91b8b6dc6b3e1c798')")
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.count());
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Assertions
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.assertEquals(
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2,
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idExplodeCommunity
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.filter(
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"community = 'aginfra' and (id = '50|ec_fp7health::000c8195edd542e4e64ebb32172cbf89' "
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+ "or id = '50|ec_fp7health::0010eb63e181e3e91b8b6dc6b3e1c798')")
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.count());
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}
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@Test
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void bulktagByZenodoCommunityTest() throws Exception {
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final String sourcePath = getClass()
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.getResource(
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"/eu/dnetlib/dhp/bulktag/sample/otherresearchproduct/update_zenodocommunity")
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.getPath();
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SparkBulkTagJob
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.main(
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new String[] {
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"-isTest", Boolean.TRUE.toString(),
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"-isSparkSessionManaged", Boolean.FALSE.toString(),
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"-sourcePath", sourcePath,
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"-taggingConf", taggingConf,
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"-resultTableName", "eu.dnetlib.dhp.schema.oaf.OtherResearchProduct",
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"-outputPath", workingDir.toString() + "/orp",
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"-isLookUpUrl", MOCK_IS_LOOK_UP_URL,
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"-pathMap", pathMap
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});
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final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
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JavaRDD<OtherResearchProduct> tmp = sc
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.textFile(workingDir.toString() + "/orp")
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.map(item -> OBJECT_MAPPER.readValue(item, OtherResearchProduct.class));
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Assertions.assertEquals(10, tmp.count());
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org.apache.spark.sql.Dataset<OtherResearchProduct> verificationDataset = spark
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.createDataset(tmp.rdd(), Encoders.bean(OtherResearchProduct.class));
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verificationDataset.createOrReplaceTempView("orp");
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String query = "select id, MyT.id community, MyD.provenanceaction.classid provenance, MyD.provenanceaction.classname name "
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+ "from orp "
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+ "lateral view explode(context) c as MyT "
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+ "lateral view explode(MyT.datainfo) d as MyD "
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+ "where MyD.inferenceprovenance = 'bulktagging'";
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org.apache.spark.sql.Dataset<Row> idExplodeCommunity = spark.sql(query);
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Assertions.assertEquals(8, idExplodeCommunity.count());
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Assertions
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.assertEquals(
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8, idExplodeCommunity.filter("provenance = 'community:zenodocommunity'").count());
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Assertions
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.assertEquals(
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8,
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idExplodeCommunity.filter("name = 'Bulktagging for Community - Zenodo'").count());
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Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'covid-19'").count());
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Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'aginfra'").count());
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Assertions.assertEquals(2, idExplodeCommunity.filter("community = 'beopen'").count());
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Assertions.assertEquals(2, idExplodeCommunity.filter("community = 'fam'").count());
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Assertions.assertEquals(2, idExplodeCommunity.filter("community = 'mes'").count());
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Assertions
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.assertEquals(
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1,
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idExplodeCommunity
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.filter(
|
||||
"id = '50|od______2017::0750a4d0782265873d669520f5e33c07' "
|
||||
+ "and community = 'covid-19'")
|
||||
.count());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
3,
|
||||
idExplodeCommunity
|
||||
.filter(
|
||||
"id = '50|od______2017::1bd97baef19dbd2db3203b112bb83bc5' and "
|
||||
+ "(community = 'aginfra' or community = 'mes' or community = 'fam')")
|
||||
.count());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1,
|
||||
idExplodeCommunity
|
||||
.filter(
|
||||
"id = '50|od______2017::1e400f1747487fd15998735c41a55c72' "
|
||||
+ "and community = 'beopen'")
|
||||
.count());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
3,
|
||||
idExplodeCommunity
|
||||
.filter(
|
||||
"id = '50|od______2017::210281c5bc1c739a11ccceeeca806396' and "
|
||||
+ "(community = 'beopen' or community = 'fam' or community = 'mes')")
|
||||
.count());
|
||||
|
||||
query = "select id, MyT.id community, size(MyT.datainfo) datainfosize "
|
||||
+ "from orp "
|
||||
+ "lateral view explode (context) as MyT "
|
||||
+ "where size(MyT.datainfo) > 0";
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
2,
|
||||
spark
|
||||
.sql(query)
|
||||
.select("datainfosize")
|
||||
.where(
|
||||
"id = '50|od______2017::210281c5bc1c739a11ccceeeca806396' a"
|
||||
+ "nd community = 'beopen'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getInt(0));
|
||||
|
||||
// verify the zenodo community context is not present anymore in the records
|
||||
query = "select id, MyT.id community "
|
||||
+ "from orp "
|
||||
+ "lateral view explode(context) c as MyT "
|
||||
+ "lateral view explode(MyT.datainfo) d as MyD ";
|
||||
|
||||
org.apache.spark.sql.Dataset<Row> tmp2 = spark.sql(query);
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
0,
|
||||
tmp2
|
||||
.select("community")
|
||||
.where(tmp2.col("community").contains(ZENODO_COMMUNITY_INDICATOR))
|
||||
.count());
|
||||
}
|
||||
|
||||
@Test
|
||||
void bulktagBySubjectDatasourceTest() throws Exception {
|
||||
final String sourcePath = getClass()
|
||||
.getResource("/eu/dnetlib/dhp/bulktag/sample/dataset/update_subject_datasource")
|
||||
.getPath();
|
||||
SparkBulkTagJob
|
||||
.main(
|
||||
new String[] {
|
||||
"-isTest", Boolean.TRUE.toString(),
|
||||
"-isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||
"-sourcePath", sourcePath,
|
||||
"-taggingConf", taggingConf,
|
||||
"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Dataset",
|
||||
"-outputPath", workingDir.toString() + "/dataset",
|
||||
"-isLookUpUrl", MOCK_IS_LOOK_UP_URL,
|
||||
"-pathMap", pathMap
|
||||
});
|
||||
|
||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
|
||||
JavaRDD<Dataset> tmp = sc
|
||||
.textFile(workingDir.toString() + "/dataset")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, Dataset.class));
|
||||
|
||||
Assertions.assertEquals(10, tmp.count());
|
||||
org.apache.spark.sql.Dataset<Dataset> verificationDataset = spark
|
||||
.createDataset(tmp.rdd(), Encoders.bean(Dataset.class));
|
||||
|
||||
verificationDataset.createOrReplaceTempView("dataset");
|
||||
|
||||
String query = "select id, MyT.id community, MyD.provenanceaction.classid provenance, MyD.provenanceaction.classname name "
|
||||
+ "from dataset "
|
||||
+ "lateral view explode(context) c as MyT "
|
||||
+ "lateral view explode(MyT.datainfo) d as MyD "
|
||||
+ "where MyD.inferenceprovenance = 'bulktagging'";
|
||||
|
||||
org.apache.spark.sql.Dataset<Row> idExplodeCommunity = spark.sql(query);
|
||||
Assertions.assertEquals(7, idExplodeCommunity.count());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
5, idExplodeCommunity.filter("provenance = 'community:subject'").count());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
2, idExplodeCommunity.filter("provenance = 'community:datasource'").count());
|
||||
Assertions.assertEquals(2, idExplodeCommunity.filter("community = 'covid-19'").count());
|
||||
Assertions.assertEquals(2, idExplodeCommunity.filter("community = 'fam'").count());
|
||||
Assertions.assertEquals(2, idExplodeCommunity.filter("community = 'aginfra'").count());
|
||||
Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'mes'").count());
|
||||
|
||||
query = "select id, MyT.id community, size(MyT.datainfo) datainfosize "
|
||||
+ "from dataset "
|
||||
+ "lateral view explode (context) as MyT "
|
||||
+ "where size(MyT.datainfo) > 0";
|
||||
|
||||
org.apache.spark.sql.Dataset<Row> tmp2 = spark.sql(query);
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
2,
|
||||
tmp2
|
||||
.select("datainfosize")
|
||||
.where(
|
||||
"id = '50|od______3989::05d8c751462f9bb8d2b06956dfbc5c7b' and "
|
||||
+ "community = 'aginfra'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getInt(0));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1,
|
||||
tmp2
|
||||
.select("datainfosize")
|
||||
.where(
|
||||
"id = '50|od______3989::05d8c751462f9bb8d2b06956dfbc5c7b' and "
|
||||
+ "community = 'covid-19'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getInt(0));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
2,
|
||||
tmp2
|
||||
.select("datainfosize")
|
||||
.where(
|
||||
"id = '50|od______3989::02dd5d2c222191b0b9bd4f33c8e96529' and "
|
||||
+ "community = 'fam'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getInt(0));
|
||||
Assertions
|
||||
.assertEquals(
|
||||
2,
|
||||
tmp2
|
||||
.select("datainfosize")
|
||||
.where(
|
||||
"id = '50|od______3989::02dd5d2c222191b0b9bd4f33c8e96529' and "
|
||||
+ "community = 'covid-19'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getInt(0));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1,
|
||||
tmp2
|
||||
.select("datainfosize")
|
||||
.where(
|
||||
"id = '50|od______3989::0f89464c4ac4c398fe0c71433b175a62' and "
|
||||
+ "community = 'fam'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getInt(0));
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1,
|
||||
tmp2
|
||||
.select("datainfosize")
|
||||
.where(
|
||||
"id = '50|od______3989::0f89464c4ac4c398fe0c71433b175a62' and "
|
||||
+ "community = 'mes'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getInt(0));
|
||||
}
|
||||
|
||||
@Test
|
||||
void bulktagBySubjectDatasourceZenodoCommunityTest() throws Exception {
|
||||
|
||||
SparkBulkTagJob
|
||||
.main(
|
||||
new String[] {
|
||||
"-isTest", Boolean.TRUE.toString(),
|
||||
"-isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||
"-sourcePath", getClass().getResource("/eu/dnetlib/dhp/bulktag/sample/software/").getPath(),
|
||||
"-taggingConf", taggingConf,
|
||||
"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Software",
|
||||
"-outputPath", workingDir.toString() + "/software",
|
||||
"-isLookUpUrl", MOCK_IS_LOOK_UP_URL,
|
||||
"-pathMap", pathMap
|
||||
});
|
||||
|
||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
|
||||
JavaRDD<Software> tmp = sc
|
||||
.textFile(workingDir.toString() + "/software")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, Software.class));
|
||||
|
||||
Assertions.assertEquals(10, tmp.count());
|
||||
org.apache.spark.sql.Dataset<Software> verificationDataset = spark
|
||||
.createDataset(tmp.rdd(), Encoders.bean(Software.class));
|
||||
|
||||
verificationDataset.createOrReplaceTempView("software");
|
||||
|
||||
String query = "select id, MyT.id community, MyD.provenanceaction.classid provenance, MyD.provenanceaction.classname name "
|
||||
+ "from software "
|
||||
+ "lateral view explode(context) c as MyT "
|
||||
+ "lateral view explode(MyT.datainfo) d as MyD "
|
||||
+ "where MyD.inferenceprovenance = 'bulktagging'";
|
||||
|
||||
org.apache.spark.sql.Dataset<Row> idExplodeCommunity = spark.sql(query);
|
||||
Assertions.assertEquals(10, idExplodeCommunity.count());
|
||||
|
||||
idExplodeCommunity.show(false);
|
||||
Assertions
|
||||
.assertEquals(
|
||||
3, idExplodeCommunity.filter("provenance = 'community:subject'").count());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
3, idExplodeCommunity.filter("provenance = 'community:datasource'").count());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
4, idExplodeCommunity.filter("provenance = 'community:zenodocommunity'").count());
|
||||
|
||||
Assertions.assertEquals(3, idExplodeCommunity.filter("community = 'covid-19'").count());
|
||||
Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'dh-ch'").count());
|
||||
Assertions.assertEquals(4, idExplodeCommunity.filter("community = 'aginfra'").count());
|
||||
Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'dariah'").count());
|
||||
Assertions.assertEquals(1, idExplodeCommunity.filter("community = 'fam'").count());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
2,
|
||||
idExplodeCommunity
|
||||
.filter(
|
||||
"provenance = 'community:zenodocommunity' and "
|
||||
+ "id = '50|od______1582::4132f5ec9496f0d6adc7b00a50a56ff4' and ("
|
||||
+ "community = 'dh-ch' or community = 'dariah')")
|
||||
.count());
|
||||
|
||||
query = "select id, MyT.id community, size(MyT.datainfo) datainfosize "
|
||||
+ "from software "
|
||||
+ "lateral view explode (context) as MyT "
|
||||
+ "where size(MyT.datainfo) > 0";
|
||||
|
||||
org.apache.spark.sql.Dataset<Row> tmp2 = spark.sql(query);
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
2,
|
||||
tmp2
|
||||
.select("datainfosize")
|
||||
.where(
|
||||
"id = '50|od______1582::501b25d420f808c8eddcd9b16e917f11' and "
|
||||
+ "community = 'covid-19'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getInt(0));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
3,
|
||||
tmp2
|
||||
.select("datainfosize")
|
||||
.where(
|
||||
"id = '50|od______1582::581621232a561b7e8b4952b18b8b0e56' and "
|
||||
+ "community = 'aginfra'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getInt(0));
|
||||
}
|
||||
|
||||
@Test
|
||||
void bulktagDatasourcewithConstraintsTest() throws Exception {
|
||||
|
||||
final String sourcePath = getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/bulktag/sample/dataset/update_datasourcewithconstraints")
|
||||
.getPath();
|
||||
SparkBulkTagJob
|
||||
.main(
|
||||
new String[] {
|
||||
"-isTest", Boolean.TRUE.toString(),
|
||||
"-isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||
"-sourcePath", sourcePath,
|
||||
"-taggingConf", taggingConf,
|
||||
"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Dataset",
|
||||
"-outputPath", workingDir.toString() + "/dataset",
|
||||
"-isLookUpUrl", MOCK_IS_LOOK_UP_URL,
|
||||
"-pathMap", pathMap
|
||||
});
|
||||
|
||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
|
||||
JavaRDD<Dataset> tmp = sc
|
||||
.textFile(workingDir.toString() + "/dataset")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, Dataset.class));
|
||||
|
||||
Assertions.assertEquals(10, tmp.count());
|
||||
org.apache.spark.sql.Dataset<Dataset> verificationDataset = spark
|
||||
.createDataset(tmp.rdd(), Encoders.bean(Dataset.class));
|
||||
|
||||
verificationDataset.createOrReplaceTempView("dataset");
|
||||
String query = "select id, MyT.id community, MyD.provenanceaction.classid provenance, MyD.provenanceaction.classname name "
|
||||
+ "from dataset "
|
||||
+ "lateral view explode(context) c as MyT "
|
||||
+ "lateral view explode(MyT.datainfo) d as MyD "
|
||||
+ "where MyD.inferenceprovenance = 'bulktagging'";
|
||||
|
||||
org.apache.spark.sql.Dataset<Row> idExplodeCommunity = spark.sql(query);
|
||||
|
||||
idExplodeCommunity.show(false);
|
||||
Assertions.assertEquals(3, idExplodeCommunity.count());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
3, idExplodeCommunity.filter("provenance = 'community:datasource'").count());
|
||||
}
|
||||
}
|
||||
Loading…
Reference in New Issue