forked from D-Net/dnet-hadoop
added unit test
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62f135262e
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@ -38,7 +38,7 @@ public class DispatchEntitiesSparkJob {
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.requireNonNull(
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DispatchEntitiesSparkJob.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/graph/group/dispatch_entities_parameters.json")));
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"/eu/dnetlib/dhp/oa/merge/dispatch_entities_parameters.json")));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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parser.parseArgument(args);
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@ -53,7 +53,7 @@ public class GroupEntitiesSparkJob {
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.toString(
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GroupEntitiesSparkJob.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/graph/group/group_graph_entities_parameters.json"));
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"/eu/dnetlib/dhp/oa/merge/group_graph_entities_parameters.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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parser.parseArgument(args);
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@ -1,26 +0,0 @@
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[
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{
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"paramName": "issm",
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"paramLongName": "isSparkSessionManaged",
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"paramDescription": "when true will stop SparkSession after job execution",
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"paramRequired": false
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},
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{
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"paramName": "i",
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"paramLongName": "inputPath",
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"paramDescription": "the source path",
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"paramRequired": true
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},
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{
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"paramName": "o",
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"paramLongName": "outputPath",
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"paramDescription": "path of the output graph",
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"paramRequired": true
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},
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{
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"paramName": "c",
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"paramLongName": "graphTableClassName",
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"paramDescription": "the graph entity class name",
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"paramRequired": true
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}
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]
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@ -1,20 +0,0 @@
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[
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{
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"paramName": "issm",
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"paramLongName": "isSparkSessionManaged",
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"paramDescription": "when true will stop SparkSession after job execution",
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"paramRequired": false
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},
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{
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"paramName": "gin",
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"paramLongName": "graphInputPath",
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"paramDescription": "the graph root path",
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"paramRequired": true
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},
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{
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"paramName": "out",
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"paramLongName": "outputPath",
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"paramDescription": "the output merged graph root path",
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"paramRequired": true
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}
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]
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@ -0,0 +1,91 @@
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package eu.dnetlib.dhp.oa.graph.group;
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import com.fasterxml.jackson.databind.DeserializationFeature;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.common.HdfsSupport;
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import eu.dnetlib.dhp.oa.merge.GroupEntitiesSparkJob;
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import eu.dnetlib.dhp.schema.common.ModelSupport;
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import eu.dnetlib.dhp.schema.oaf.Result;
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import org.apache.commons.io.FileUtils;
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import org.apache.commons.lang3.StringUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.function.FilterFunction;
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import org.apache.spark.api.java.function.MapFunction;
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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.SparkSession;
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import org.junit.jupiter.api.*;
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import java.io.IOException;
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import java.net.URISyntaxException;
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import java.nio.file.Files;
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import java.nio.file.Path;
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import java.nio.file.Paths;
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public class GroupEntitiesSparkJobTest {
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private static SparkSession spark;
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private Path workingDir;
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//private Path inputDir;
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private Path graphInputPath;
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private Path outputPath;
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@BeforeAll
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public static void beforeAll() {
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SparkConf conf = new SparkConf();
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conf.setAppName(GroupEntitiesSparkJob.class.getSimpleName());
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conf.setMaster("local");
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conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
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conf.registerKryoClasses(ModelSupport.getOafModelClasses());
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spark = SparkSession.builder().config(conf).getOrCreate();
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}
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@BeforeEach
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public void beforeEach() throws IOException, URISyntaxException {
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workingDir = Files.createTempDirectory(GroupEntitiesSparkJob.class.getSimpleName());
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//inputDir = workingDir.resolve("input");
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graphInputPath = Paths.get(ClassLoader.getSystemResource("eu/dnetlib/dhp/oa/graph/group").toURI());
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outputPath = workingDir.resolve("output");
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}
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@AfterEach
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public void afterEach() throws IOException {
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FileUtils.deleteDirectory(workingDir.toFile());
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}
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@AfterAll
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public static void afterAll() {
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spark.stop();
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}
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@Test
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void testGroupEntities() throws Exception {
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GroupEntitiesSparkJob.main(new String[] {
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"-isSparkSessionManaged",
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Boolean.FALSE.toString(),
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"-graphInputPath",
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graphInputPath.toString(),
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"-outputPath",
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outputPath.toString()
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});
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ObjectMapper mapper = new ObjectMapper().configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
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Dataset<Result> output = spark
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.read()
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.textFile(outputPath.toString())
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.map((MapFunction<String, String>) s -> StringUtils.substringAfter(s, "|"), Encoders.STRING())
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.map((MapFunction<String, Result>) s -> mapper.readValue(s, Result.class), Encoders.bean(Result.class));
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Assertions.assertEquals(
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1,
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output
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.filter((FilterFunction<Result>) r ->
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"50|doi_________::09821844208a5cd6300b2bfb13bca1b9".equals(r.getId()) &&
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r.getCollectedfrom().stream().anyMatch(kv -> kv.getValue().equalsIgnoreCase("zenodo")) )
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.count());
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}
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}
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