dnet-hadoop/dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJobTe...

206 lines
6.3 KiB
Java

package eu.dnetlib.dhp.actionmanager.bipfinder;
import static org.junit.jupiter.api.Assertions.*;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import eu.dnetlib.dhp.schema.oaf.KeyValue;
import eu.dnetlib.dhp.schema.oaf.Project;
import org.apache.commons.io.FileUtils;
import org.apache.hadoop.io.Text;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.oaf.Result;
public class SparkAtomicActionScoreJobTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
private final static String RESULT = "result";
private final static String PROJECT = "project";
private static final Logger log = LoggerFactory.getLogger(SparkAtomicActionScoreJobTest.class);
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files
.createTempDirectory(SparkAtomicActionScoreJobTest.class.getSimpleName());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(SparkAtomicActionScoreJobTest.class.getSimpleName());
conf.setMaster("local[*]");
conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false");
conf.set("spark.sql.warehouse.dir", workingDir.toString());
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession
.builder()
.appName(SparkAtomicActionScoreJobTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
private void runJob(String inputPath, String outputPath, String targetEntity) throws Exception {
SparkAtomicActionScoreJob.main(
new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(),
"-inputPath", inputPath,
"-outputPath", outputPath,
"-targetEntity", targetEntity,
}
);
}
@Test
void testResultScores() throws Exception {
final String targetEntity = RESULT;
String inputResultScores = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/result_bip_scores.json")
.getPath();
String outputPath = workingDir.toString() + "/" + targetEntity + "/actionSet";
// execute the job to generate the action sets for result scores
runJob(inputResultScores, outputPath, targetEntity);
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Result> tmp = sc
.sequenceFile(outputPath, Text.class, Text.class)
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Result) aa.getPayload()));
assertEquals(4, tmp.count());
Dataset<Result> verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Result.class));
verificationDataset.createOrReplaceTempView("result");
Dataset<Row> execVerification = spark
.sql(
"Select p.id oaid, mes.id, mUnit.value from result p " +
"lateral view explode(measures) m as mes " +
"lateral view explode(mes.unit) u as mUnit ");
Assertions.assertEquals(12, execVerification.count());
Assertions
.assertEquals(
"6.63451994567e-09", execVerification
.filter(
"oaid='50|arXiv_dedup_::4a2d5fd8d71daec016c176ec71d957b1' " +
"and id = 'influence'")
.select("value")
.collectAsList()
.get(0)
.getString(0));
Assertions
.assertEquals(
"0.348694533145", execVerification
.filter(
"oaid='50|arXiv_dedup_::4a2d5fd8d71daec016c176ec71d957b1' " +
"and id = 'popularity_alt'")
.select("value")
.collectAsList()
.get(0)
.getString(0));
Assertions
.assertEquals(
"2.16094680115e-09", execVerification
.filter(
"oaid='50|arXiv_dedup_::4a2d5fd8d71daec016c176ec71d957b1' " +
"and id = 'popularity'")
.select("value")
.collectAsList()
.get(0)
.getString(0));
}
@Test
void testProjectScores() throws Exception {
String targetEntity = PROJECT;
String inputResultScores = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/project_bip_scores.json")
.getPath();
String outputPath = workingDir.toString() + "/" + targetEntity + "/actionSet";
// execute the job to generate the action sets for project scores
runJob(inputResultScores, outputPath, PROJECT);
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Project> projects = sc
.sequenceFile(outputPath, Text.class, Text.class)
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Project) aa.getPayload()));
// test the number of projects
assertEquals(4, projects.count());
String testProjectId = "40|nih_________::c02a8233e9b60f05bb418f0c9b714833";
// count that the project with id testProjectId is present
assertEquals(1, projects.filter(row -> row.getId().equals(testProjectId)).count());
projects.filter(row -> row.getId().equals(testProjectId))
.flatMap(r -> r.getMeasures().iterator())
.foreach(m -> {
log.info(m.getId() + " " + m.getUnit());
// ensure that only one score is present for each bip impact measure
assertEquals(1, m.getUnit().size());
KeyValue kv = m.getUnit().get(0);
// ensure that the correct key is provided, i.e. score
assertEquals("score", kv.getKey());
switch(m.getId()) {
case "numOfInfluentialResults":
assertEquals("0", kv.getValue());
break;
case "numOfPopularResults":
assertEquals("1", kv.getValue());
break;
case "totalImpulse":
assertEquals("25", kv.getValue());
break;
case "totalCitationCount":
assertEquals("43", kv.getValue());
break;
default:
fail("Unknown measure id in the context of projects");
}
});
}
}