forked from D-Net/dnet-hadoop
124 lines
3.6 KiB
Java
124 lines
3.6 KiB
Java
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package eu.dnetlib.dhp.actionmanager.project;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.util.HashMap;
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import java.util.Optional;
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import org.apache.commons.io.IOUtils;
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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.MapFunction;
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import org.apache.spark.sql.*;
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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.project.csvutils.CSVProgramme;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.common.HdfsSupport;
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import scala.Tuple2;
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public class PrepareProgramme {
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private static final Logger log = LoggerFactory.getLogger(PrepareProgramme.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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public static void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils
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.toString(
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PrepareProgramme.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/actionmanager/project/prepare_programme_parameters.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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parser.parseArgument(args);
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Boolean isSparkSessionManaged = Optional
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.ofNullable(parser.get("isSparkSessionManaged"))
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.map(Boolean::valueOf)
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.orElse(Boolean.TRUE);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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final String programmePath = parser.get("programmePath");
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log.info("programmePath {}: ", programmePath);
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final String outputPath = parser.get("outputPath");
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log.info("outputPath {}: ", outputPath);
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SparkConf conf = new SparkConf();
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runWithSparkSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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removeOutputDir(spark, outputPath);
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exec(spark, programmePath, outputPath);
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});
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}
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private static void removeOutputDir(SparkSession spark, String path) {
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HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
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}
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private static void exec(SparkSession spark, String programmePath, String outputPath) {
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Dataset<CSVProgramme> programme = readPath(spark, programmePath, CSVProgramme.class);
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programme
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.toJavaRDD()
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.filter(p -> !p.getCode().contains("FP7"))
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.mapToPair(csvProgramme -> new Tuple2<>(csvProgramme.getCode(), csvProgramme))
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.reduceByKey((a, b) -> {
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if (StringUtils.isEmpty(a.getShortTitle())) {
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if (StringUtils.isEmpty(b.getShortTitle())) {
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if (StringUtils.isEmpty(a.getTitle())) {
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if (StringUtils.isNotEmpty(b.getTitle())) {
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a.setShortTitle(b.getTitle());
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a.setLanguage(b.getLanguage());
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}
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} else {// notIsEmpty a.getTitle
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if (StringUtils.isEmpty(b.getTitle())) {
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a.setShortTitle(a.getTitle());
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} else {
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if (b.getLanguage().equalsIgnoreCase("en")) {
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a.setShortTitle(b.getTitle());
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a.setLanguage(b.getLanguage());
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} else {
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a.setShortTitle(a.getTitle());
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}
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}
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}
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} else {// not isEmpty b.getShortTitle
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a.setShortTitle(b.getShortTitle());
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// a.setLanguage(b.getLanguage());
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}
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}
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return a;
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})
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.map(p -> {
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CSVProgramme csvProgramme = p._2();
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if (StringUtils.isEmpty(csvProgramme.getShortTitle())) {
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csvProgramme.setShortTitle(csvProgramme.getTitle());
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}
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return OBJECT_MAPPER.writeValueAsString(csvProgramme);
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})
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.saveAsTextFile(outputPath);
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}
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public static <R> Dataset<R> readPath(
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SparkSession spark, String inputPath, Class<R> clazz) {
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return spark
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.read()
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.textFile(inputPath)
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.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
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}
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}
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