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

161 lines
6.2 KiB
Java

package eu.dnetlib.dhp.actionmanager.bipfinder;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.KeyValue;
import org.apache.commons.io.FileUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.ForeachFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.MapGroupsFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
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 scala.Tuple2;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.List;
import java.util.stream.Collectors;
public class SparkAtomicActionScoreJobTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
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();
}
@Test
public <I extends Result> void numberDistinctProjectTest() throws Exception {
String bipScoresPath = getClass().getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json").getPath();
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/bipfinder/publication.json")
.getPath();
SparkAtomicActionScoreJob.main(
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputPath",
inputPath,
"-bipScorePath",
bipScoresPath,
"-resultTableName",
"eu.dnetlib.dhp.schema.oaf.Publication",
"-outputPath",
workingDir.toString() + "/actionSet"
});
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Publication> tmp = sc
.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Publication) aa.getPayload()));
Assertions.assertTrue(tmp.count() == 1);
// Dataset<Publication> verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class));
// verificationDataset.createOrReplaceTempView("project");
// Dataset<Row> execverification = spark
// .sql(
// "SELECT id, class classification, h2020topiccode, h2020topicdescription FROM project LATERAL VIEW EXPLODE(h2020classification) c as class ");
//
// Assertions
// .assertEquals(
// "H2020-EU.3.4.7.",
// execverification
// .filter("id = '40|corda__h2020::2c7298913008865ba784e5c1350a0aa5'")
// .select("classification.h2020Programme.code")
// .collectAsList()
// .get(0)
// .getString(0));
}
private static List<Measure> getMeasure(BipScore value) {
return value.getScoreList()
.stream()
.map(score -> {
Measure m = new Measure();
m.setId(score.getId());
m.setUnit(score.getUnit().stream()
.map(unit -> {
eu.dnetlib.dhp.schema.oaf.KeyValue kv = new KeyValue();
kv.setValue(unit.getValue());
kv.setKey(unit.getKey());
kv.setDataInfo(getDataInfo());
return kv;
}).collect(Collectors.toList()));
return m;
}).collect(Collectors.toList());
}
private static DataInfo getDataInfo() {
DataInfo di = new DataInfo();
di.setInferred(false);
di.setInvisible(false);
di.setDeletedbyinference(false);
di.setTrust("");
Qualifier qualifier = new Qualifier();
qualifier.setClassid("sysimport:actionset");
qualifier.setClassname("Harvested");
qualifier.setSchemename("dnet:provenanceActions");
qualifier.setSchemeid("dnet:provenanceActions");
di.setProvenanceaction(qualifier);
return di;
}
}