forked from D-Net/dnet-hadoop
classes test classes and resources for production of the actionset to include bipFinder score in results
This commit is contained in:
parent
e731a7658d
commit
db36e11912
|
@ -0,0 +1,23 @@
|
|||
package eu.dnetlib.dhp.actionmanager.bipfinder;
|
||||
|
||||
import java.io.Serializable;
|
||||
import java.util.ArrayList;
|
||||
import java.util.HashMap;
|
||||
import java.util.List;
|
||||
|
||||
|
||||
public class BipDeserialize extends HashMap<String, List<Score>> implements Serializable {
|
||||
|
||||
public BipDeserialize(){
|
||||
super();
|
||||
}
|
||||
|
||||
public List<Score> get(String key) {
|
||||
|
||||
if (super.get(key) == null) {
|
||||
return new ArrayList<>();
|
||||
}
|
||||
return super.get(key);
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,25 @@
|
|||
package eu.dnetlib.dhp.actionmanager.bipfinder;
|
||||
|
||||
import java.io.Serializable;
|
||||
import java.util.List;
|
||||
|
||||
public class BipScore implements Serializable {
|
||||
private String id;
|
||||
private List<Score> scoreList;
|
||||
|
||||
public String getId() {
|
||||
return id;
|
||||
}
|
||||
|
||||
public void setId(String id) {
|
||||
this.id = id;
|
||||
}
|
||||
|
||||
public List<Score> getScoreList() {
|
||||
return scoreList;
|
||||
}
|
||||
|
||||
public void setScoreList(List<Score> scoreList) {
|
||||
this.scoreList = scoreList;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,25 @@
|
|||
package eu.dnetlib.dhp.actionmanager.bipfinder;
|
||||
|
||||
import java.io.Serializable;
|
||||
|
||||
public class KeyValue implements Serializable {
|
||||
|
||||
private String key;
|
||||
private String value;
|
||||
|
||||
public String getKey() {
|
||||
return key;
|
||||
}
|
||||
|
||||
public void setKey(String key) {
|
||||
this.key = key;
|
||||
}
|
||||
|
||||
public String getValue() {
|
||||
return value;
|
||||
}
|
||||
|
||||
public void setValue(String value) {
|
||||
this.value = value;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,24 @@
|
|||
package eu.dnetlib.dhp.actionmanager.bipfinder;
|
||||
|
||||
import java.io.Serializable;
|
||||
|
||||
public class PreparedResult implements Serializable {
|
||||
private String id; //openaire id
|
||||
private String value; //doi
|
||||
|
||||
public String getId() {
|
||||
return id;
|
||||
}
|
||||
|
||||
public void setId(String id) {
|
||||
this.id = id;
|
||||
}
|
||||
|
||||
public String getValue() {
|
||||
return value;
|
||||
}
|
||||
|
||||
public void setValue(String value) {
|
||||
this.value = value;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,26 @@
|
|||
package eu.dnetlib.dhp.actionmanager.bipfinder;
|
||||
|
||||
import java.io.Serializable;
|
||||
import java.util.List;
|
||||
|
||||
public class Score implements Serializable {
|
||||
|
||||
private String id;
|
||||
private List<KeyValue> unit;
|
||||
|
||||
public String getId() {
|
||||
return id;
|
||||
}
|
||||
|
||||
public void setId(String id) {
|
||||
this.id = id;
|
||||
}
|
||||
|
||||
public List<KeyValue> getUnit() {
|
||||
return unit;
|
||||
}
|
||||
|
||||
public void setUnit(List<KeyValue> unit) {
|
||||
this.unit = unit;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,203 @@
|
|||
package eu.dnetlib.dhp.actionmanager.bipfinder;
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||
import eu.dnetlib.dhp.common.HdfsSupport;
|
||||
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.IOUtils;
|
||||
import org.apache.hadoop.hdfs.qjournal.protocol.QJournalProtocolProtos;
|
||||
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.FlatMapFunction;
|
||||
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.Row;
|
||||
import org.apache.spark.sql.SparkSession;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
import scala.Tuple2;
|
||||
|
||||
import java.io.Serializable;
|
||||
import java.util.List;
|
||||
import java.util.Optional;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
|
||||
|
||||
public class SparkAtomicActionScoreJob implements Serializable {
|
||||
|
||||
private static String DOI = "doi";
|
||||
private static final Logger log = LoggerFactory.getLogger(SparkAtomicActionScoreJob.class);
|
||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
||||
|
||||
public static <I extends Result> void main(String[] args) throws Exception {
|
||||
|
||||
String jsonConfiguration = IOUtils
|
||||
.toString(
|
||||
SparkAtomicActionScoreJob.class
|
||||
.getResourceAsStream(
|
||||
"/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json"));
|
||||
|
||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
||||
|
||||
parser.parseArgument(args);
|
||||
|
||||
Boolean isSparkSessionManaged = Optional
|
||||
.ofNullable(parser.get("isSparkSessionManaged"))
|
||||
.map(Boolean::valueOf)
|
||||
.orElse(Boolean.TRUE);
|
||||
|
||||
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
||||
|
||||
final String inputPath = parser.get("inputPath");
|
||||
log.info("inputPath {}: ", inputPath);
|
||||
|
||||
final String outputPath = parser.get("outputPath");
|
||||
log.info("outputPath {}: ", outputPath);
|
||||
|
||||
final String bipScorePath = parser.get("bipScorePath");
|
||||
log.info("bipScorePath: {}", bipScorePath);
|
||||
|
||||
final String resultClassName = parser.get("resultTableName");
|
||||
log.info("resultTableName: {}", resultClassName);
|
||||
|
||||
Class<I> inputClazz = (Class<I>) Class.forName(resultClassName);
|
||||
|
||||
SparkConf conf = new SparkConf();
|
||||
|
||||
runWithSparkSession(
|
||||
conf,
|
||||
isSparkSessionManaged,
|
||||
spark -> {
|
||||
removeOutputDir(spark, outputPath);
|
||||
prepareResults(spark, inputPath, outputPath, bipScorePath, inputClazz);
|
||||
});
|
||||
}
|
||||
|
||||
private static <I extends Result> void prepareResults(SparkSession spark, String inputPath, String outputPath,
|
||||
String bipScorePath, Class<I> inputClazz) {
|
||||
|
||||
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
||||
|
||||
JavaRDD<BipDeserialize> bipDeserializeJavaRDD = sc.textFile(bipScorePath)
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, BipDeserialize.class));
|
||||
|
||||
|
||||
Dataset<BipScore> bipScores = spark.createDataset(bipDeserializeJavaRDD.flatMap(entry ->
|
||||
entry.keySet().stream().map(key -> {
|
||||
BipScore bs = new BipScore();
|
||||
bs.setId(key);
|
||||
bs.setScoreList(entry.get(key));
|
||||
return bs;
|
||||
}).collect(Collectors.toList()).iterator()
|
||||
).rdd(), Encoders.bean(BipScore.class));
|
||||
|
||||
System.out.println(bipScores.count());
|
||||
|
||||
Dataset<I> results = readPath(spark, inputPath, inputClazz);
|
||||
|
||||
results.createOrReplaceTempView("result");
|
||||
|
||||
Dataset<PreparedResult> preparedResult = spark.sql("select pIde.value value, id " +
|
||||
"from result " +
|
||||
"lateral view explode (pid) p as pIde " +
|
||||
"where dataInfo.deletedbyinference = false and pIde.qualifier.classid = '" + DOI + "'")
|
||||
.as(Encoders.bean(PreparedResult.class));
|
||||
|
||||
Dataset<BipScore> tmp = bipScores.joinWith(preparedResult, bipScores.col("id").equalTo(preparedResult.col("value")),
|
||||
"inner")
|
||||
.map((MapFunction<Tuple2<BipScore, PreparedResult>, BipScore>) value -> {
|
||||
BipScore ret = value._1();
|
||||
ret.setId(value._2().getId());
|
||||
return ret;
|
||||
}, Encoders.bean(BipScore.class));
|
||||
|
||||
tmp.groupByKey((MapFunction<BipScore, String>) value -> value.getId(), Encoders.STRING())
|
||||
.mapGroups((MapGroupsFunction<String, BipScore, I>) (k, it) ->
|
||||
{
|
||||
Result ret = inputClazz.newInstance();
|
||||
BipScore first = it.next();
|
||||
ret.setId(first.getId());
|
||||
|
||||
ret.setMeasures(getMeasure(first));
|
||||
it.forEachRemaining(value -> ret.getMeasures().addAll(getMeasure(value)));
|
||||
|
||||
return (I)ret;
|
||||
}, Encoders.bean(inputClazz))
|
||||
.toJavaRDD()
|
||||
.map(p -> new AtomicAction(inputClazz, p))
|
||||
.mapToPair(
|
||||
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
|
||||
new Text(OBJECT_MAPPER.writeValueAsString(aa))))
|
||||
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class);
|
||||
;
|
||||
}
|
||||
|
||||
public static Dataset<BipScore> getBipScoreDataset(Dataset<BipDeserialize> bipdeserialized){
|
||||
return bipdeserialized.flatMap((FlatMapFunction<BipDeserialize, BipScore>) bip ->
|
||||
bip.keySet().stream().map(key -> {
|
||||
BipScore bs = new BipScore();
|
||||
bs.setId(key);
|
||||
bs.setScoreList(bip.get(key));
|
||||
return bs;
|
||||
}).collect(Collectors.toList()).iterator()
|
||||
, Encoders.bean(BipScore.class));
|
||||
}
|
||||
|
||||
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 -> {
|
||||
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;
|
||||
}
|
||||
|
||||
|
||||
private static void removeOutputDir(SparkSession spark, String path) {
|
||||
HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
|
||||
}
|
||||
|
||||
public static <R> Dataset<R> readPath(
|
||||
SparkSession spark, String inputPath, Class<R> clazz) {
|
||||
return spark
|
||||
.read()
|
||||
.textFile(inputPath)
|
||||
.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
|
||||
}
|
||||
|
||||
|
||||
}
|
|
@ -0,0 +1,32 @@
|
|||
[
|
||||
{
|
||||
"paramName": "issm",
|
||||
"paramLongName": "isSparkSessionManaged",
|
||||
"paramDescription": "when true will stop SparkSession after job execution",
|
||||
"paramRequired": false
|
||||
},
|
||||
{
|
||||
"paramName": "ip",
|
||||
"paramLongName": "inputPath",
|
||||
"paramDescription": "the URL from where to get the programme file",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "o",
|
||||
"paramLongName": "outputPath",
|
||||
"paramDescription": "the path of the new ActionSet",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "rtn",
|
||||
"paramLongName": "resultTableName",
|
||||
"paramDescription": "the path of the new ActionSet",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "bsp",
|
||||
"paramLongName": "bipScorePath",
|
||||
"paramDescription": "the path of the new ActionSet",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
|
@ -0,0 +1,160 @@
|
|||
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;
|
||||
}
|
||||
}
|
File diff suppressed because it is too large
Load Diff
File diff suppressed because one or more lines are too long
Loading…
Reference in New Issue