203 lines
6.0 KiB
Java
203 lines
6.0 KiB
Java
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package eu.dnetlib.dhp.actionmanager.dblp;
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import static org.junit.jupiter.api.Assertions.*;
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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 javax.xml.crypto.Data;
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import eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob;
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import eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJobTest;
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import org.apache.commons.io.FileUtils;
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import org.apache.hadoop.io.Text;
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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.Dataset;
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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 com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.schema.action.AtomicAction;
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import eu.dnetlib.dhp.schema.oaf.KeyValue;
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import eu.dnetlib.dhp.schema.oaf.OafEntity;
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import eu.dnetlib.dhp.schema.oaf.Project;
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import eu.dnetlib.dhp.schema.oaf.Result;
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public class PrepareDblpActionSetsTest {
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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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private static final Logger log = LoggerFactory.getLogger(SparkAtomicActionScoreJobTest.class);
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@BeforeAll
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public static void beforeAll() throws IOException {
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workingDir = Files
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.createTempDirectory(SparkAtomicActionScoreJobTest.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(SparkAtomicActionScoreJobTest.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(SparkAtomicActionScoreJobTest.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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private void runJob(String dblpInputPath, String outputPath) throws Exception {
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PrepareDblpActionSets
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.main(
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new String[] {
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"-isSparkSessionManaged", Boolean.FALSE.toString(),
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"-dblpInputPath", dblpInputPath,
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"-outputPath", outputPath,
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});
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}
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@Test
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void testXmlParsing() throws Exception {
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String dblpInputPath = getClass()
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.getResource("/eu/dnetlib/dhp/actionmanager/dblp/dblp_dump_sample.xml")
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.getPath();
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String outputPath = workingDir.toString() + "/actionSet";
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// execute the job to generate the action sets for result scores
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runJob(dblpInputPath, outputPath);
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// TODO: use the data written in `outputPath` to perform tests
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// final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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//
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// JavaRDD<OafEntity> tmp = sc
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// .sequenceFile(outputPath, Text.class, Text.class)
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// .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
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// .map(aa -> ((OafEntity) aa.getPayload()));
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//
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// assertEquals(8, tmp.count());
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//
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// Dataset<OafEntity> verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(OafEntity.class));
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// verificationDataset.createOrReplaceTempView("result");
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//
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// Dataset<Row> testDataset = spark
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// .sql(
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// "Select p.id oaid, mes.id, mUnit.value from result p " +
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// "lateral view explode(measures) m as mes " +
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// "lateral view explode(mes.unit) u as mUnit ");
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//
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// Assertions.assertEquals(28, testDataset.count());
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//
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// assertResultImpactScores(testDataset);
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// assertProjectImpactScores(testDataset);
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}
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void assertResultImpactScores(Dataset<Row> testDataset) {
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Assertions
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.assertEquals(
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"6.63451994567e-09", testDataset
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.filter(
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"oaid='50|arXiv_dedup_::4a2d5fd8d71daec016c176ec71d957b1' " +
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"and id = 'influence'")
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.select("value")
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.collectAsList()
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.get(0)
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.getString(0));
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Assertions
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.assertEquals(
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"0.348694533145", testDataset
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.filter(
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"oaid='50|arXiv_dedup_::4a2d5fd8d71daec016c176ec71d957b1' " +
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"and id = 'popularity_alt'")
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.select("value")
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.collectAsList()
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.get(0)
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.getString(0));
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Assertions
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.assertEquals(
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"2.16094680115e-09", testDataset
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.filter(
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"oaid='50|arXiv_dedup_::4a2d5fd8d71daec016c176ec71d957b1' " +
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"and id = 'popularity'")
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.select("value")
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.collectAsList()
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.get(0)
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.getString(0));
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}
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void assertProjectImpactScores(Dataset<Row> testDataset) throws Exception {
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Assertions
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.assertEquals(
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"0", testDataset
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.filter(
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"oaid='40|nih_________::c02a8233e9b60f05bb418f0c9b714833' " +
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"and id = 'numOfInfluentialResults'")
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.select("value")
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.collectAsList()
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.get(0)
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.getString(0));
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Assertions
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.assertEquals(
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"1", testDataset
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.filter(
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"oaid='40|nih_________::c02a8233e9b60f05bb418f0c9b714833' " +
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"and id = 'numOfPopularResults'")
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.select("value")
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.collectAsList()
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.get(0)
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.getString(0));
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Assertions
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.assertEquals(
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"25", testDataset
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.filter(
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"oaid='40|nih_________::c02a8233e9b60f05bb418f0c9b714833' " +
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"and id = 'totalImpulse'")
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.select("value")
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.collectAsList()
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.get(0)
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.getString(0));
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Assertions
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.assertEquals(
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"43", testDataset
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.filter(
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"oaid='40|nih_________::c02a8233e9b60f05bb418f0c9b714833' " +
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"and id = 'totalCitationCount'")
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.select("value")
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.collectAsList()
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.get(0)
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.getString(0));
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}
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}
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