package eu.dnetlib.dhp.oa.graph.dump.subset; import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession; import java.io.Serializable; import java.util.*; import java.util.stream.Collectors; import org.apache.commons.io.IOUtils; import org.apache.spark.SparkConf; import org.apache.spark.api.java.function.FilterFunction; import org.apache.spark.api.java.function.FlatMapFunction; import org.apache.spark.api.java.function.ForeachFunction; import org.apache.spark.api.java.function.MapFunction; import org.apache.spark.sql.Dataset; import org.apache.spark.sql.Encoders; import org.apache.spark.sql.SaveMode; import org.apache.spark.sql.SparkSession; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import com.fasterxml.jackson.databind.ObjectMapper; import eu.dnetlib.dhp.application.ArgumentApplicationParser; import eu.dnetlib.dhp.oa.graph.dump.Utils; import eu.dnetlib.dhp.oa.model.graph.ResearchCommunity; import eu.dnetlib.dhp.schema.oaf.*; import scala.Tuple2; /** * @author miriam.baglioni * @Date 15/11/22 */ public class SparkSelectValidContext implements Serializable { private static final Logger log = LoggerFactory.getLogger(SparkSelectValidContext.class); public static void main(String[] args) throws Exception { String jsonConfiguration = IOUtils .toString( SparkSelectValidContext.class .getResourceAsStream( "/eu/dnetlib/dhp/oa/graph/dump/input_select_context.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("sourcePath"); log.info("inputPath: {}", inputPath); final String contextPath = parser.get("contextPath"); log.info("contextPath: {}", contextPath); final String communityMapPath = parser.get("communityMapPath"); log.info("communityMapPath: {}", communityMapPath); final String outputPath = parser.get("outputPath"); log.info("outputPath: {}", outputPath); SparkConf conf = new SparkConf(); runWithSparkSession( conf, isSparkSessionManaged, spark -> { selectValidContext(spark, inputPath, contextPath, communityMapPath, outputPath); }); } private static void selectValidContext(SparkSession spark, String inputPath, String contextPath, String communityMapPath, String outputPath) { List keys = Arrays .asList(Utils.getCommunityMap(spark, communityMapPath).keySet().stream().toArray(String[]::new)); Dataset context = getFilter(spark, inputPath + "/publication", keys, Publication.class) .union(getFilter(spark, inputPath + "/dataset", keys, eu.dnetlib.dhp.schema.oaf.Dataset.class)) .union(getFilter(spark, inputPath + "/software", keys, Software.class)) .union(getFilter(spark, inputPath + "/otherresearchproduct", keys, OtherResearchProduct.class)) .distinct(); context.foreach((ForeachFunction) c -> System.out.println(c)); Dataset researchCommunity = Utils.readPath(spark, contextPath, ResearchCommunity.class); researchCommunity .joinWith(context, researchCommunity.col("acronym").equalTo(context.col("value"))) .map( (MapFunction, ResearchCommunity>) t2 -> t2._1(), Encoders.bean(ResearchCommunity.class)) .write() .mode(SaveMode.Overwrite) .option("compression", "gzip") .json(outputPath); } private static Dataset getFilter(SparkSession spark, String inputPath, List keys, Class inputClazz) { return Utils .readPath(spark, inputPath, inputClazz) .filter((FilterFunction) r -> isPresentContext(r)) .flatMap( (FlatMapFunction) r -> r .getContext() .stream() .map(c -> extract(c.getId(), keys)) .collect(Collectors.toList()) .iterator(), Encoders.STRING()) .filter(Objects::nonNull); } private static boolean isPresentContext(I r) { return Optional.ofNullable(r.getContext()).isPresent(); } private static String extract(String c, List keySet) { if (keySet.contains(c)) return c; if (c.contains(":") && keySet.contains(c.substring(0, c.indexOf(":")))) return c.substring(0, c.indexOf(":")); return null; } }