260 lines
6.3 KiB
Java
260 lines
6.3 KiB
Java
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package eu.dnetlib.dhp.actionmanager.usagestats;
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import static org.junit.jupiter.api.Assertions.assertEquals;
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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.stream.Collectors;
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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.actionmanager.bipfinder.SparkAtomicActionScoreJob;
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import eu.dnetlib.dhp.schema.action.AtomicAction;
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import eu.dnetlib.dhp.schema.oaf.Result;
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public class SparkAtomicActionCountJobTest {
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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
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.getLogger(SparkAtomicActionCountJobTest.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(SparkAtomicActionCountJobTest.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(SparkAtomicActionCountJobTest.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(SparkAtomicActionCountJobTest.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 testMatch() {
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String usageScoresPath = getClass()
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.getResource("/eu/dnetlib/dhp/actionmanager/usagestats/usagestatsdb")
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.getPath();
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SparkAtomicActionUsageJob.prepareActionSet(spark, usageScoresPath, workingDir.toString() + "/actionSet");
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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JavaRDD<Result> tmp = sc
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.textFile(workingDir.toString() + "/actionSet")
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.map(usm -> OBJECT_MAPPER.readValue(usm, Result.class));
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Assertions.assertEquals(9, tmp.count());
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tmp.foreach(r -> Assertions.assertEquals(2, r.getMeasures().size()));
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tmp
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.foreach(
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r -> r
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.getMeasures()
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.stream()
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.forEach(
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m -> m
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.getUnit()
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.stream()
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.forEach(u -> Assertions.assertFalse(u.getDataInfo().getDeletedbyinference()))));
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tmp
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.foreach(
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r -> r
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.getMeasures()
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.stream()
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.forEach(
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m -> m.getUnit().stream().forEach(u -> Assertions.assertTrue(u.getDataInfo().getInferred()))));
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tmp
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.foreach(
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r -> r
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.getMeasures()
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.stream()
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.forEach(
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m -> m
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.getUnit()
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.stream()
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.forEach(u -> Assertions.assertFalse(u.getDataInfo().getInvisible()))));
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tmp
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.foreach(
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r -> r
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.getMeasures()
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.stream()
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.forEach(
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m -> m
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.getUnit()
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.stream()
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.forEach(
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u -> Assertions
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.assertEquals(
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"measure:usage_counts",
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u.getDataInfo().getProvenanceaction().getClassid()))));
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tmp
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.foreach(
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r -> r
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.getMeasures()
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.stream()
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.forEach(
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m -> m
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.getUnit()
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.stream()
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.forEach(
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u -> Assertions
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.assertEquals(
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"Inferred by OpenAIRE",
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u.getDataInfo().getProvenanceaction().getClassname()))));
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tmp
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.foreach(
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r -> r
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.getMeasures()
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.stream()
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.forEach(
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m -> m
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.getUnit()
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.stream()
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.forEach(
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u -> Assertions
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.assertEquals(
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"count",
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u.getKey()))));
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Assertions
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.assertEquals(
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1, tmp.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6")).count());
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Assertions
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.assertEquals(
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"0",
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tmp
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.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6"))
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.collect()
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.get(0)
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.getMeasures()
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.stream()
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.filter(m -> m.getId().equals("downloads"))
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.collect(Collectors.toList())
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.get(0)
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.getUnit()
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.get(0)
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.getValue());
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Assertions
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.assertEquals(
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"5",
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tmp
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.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6"))
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.collect()
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.get(0)
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.getMeasures()
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.stream()
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.filter(m -> m.getId().equals("views"))
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.collect(Collectors.toList())
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.get(0)
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.getUnit()
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.get(0)
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.getValue());
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Assertions
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.assertEquals(
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"0",
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tmp
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.filter(r -> r.getId().equals("50|doi_________::17eda2ff77407538fbe5d3d719b9d1c0"))
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.collect()
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.get(0)
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.getMeasures()
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.stream()
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.filter(m -> m.getId().equals("downloads"))
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.collect(Collectors.toList())
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.get(0)
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.getUnit()
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.get(0)
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.getValue());
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Assertions
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.assertEquals(
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"1",
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tmp
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.filter(r -> r.getId().equals("50|doi_________::17eda2ff77407538fbe5d3d719b9d1c0"))
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.collect()
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.get(0)
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.getMeasures()
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.stream()
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.filter(m -> m.getId().equals("views"))
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.collect(Collectors.toList())
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.get(0)
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.getUnit()
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.get(0)
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.getValue());
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Assertions
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.assertEquals(
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"2",
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tmp
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.filter(r -> r.getId().equals("50|doi_________::3085e4c6e051378ca6157fe7f0430c1f"))
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.collect()
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.get(0)
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.getMeasures()
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.stream()
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.filter(m -> m.getId().equals("downloads"))
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.collect(Collectors.toList())
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.get(0)
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.getUnit()
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.get(0)
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.getValue());
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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|doi_________::3085e4c6e051378ca6157fe7f0430c1f"))
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.collect()
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.get(0)
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.getMeasures()
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.stream()
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.filter(m -> m.getId().equals("views"))
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.collect(Collectors.toList())
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.get(0)
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.getUnit()
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.get(0)
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.getValue());
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}
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}
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