package eu.dnetlib.dhp.sx.graph

import com.fasterxml.jackson.databind.ObjectMapper
import eu.dnetlib.dhp.application.ArgumentApplicationParser
import eu.dnetlib.dhp.schema.oaf.{OtherResearchProduct, Publication, Relation, Software, Dataset => OafDataset}
import org.apache.commons.io.IOUtils
import org.apache.spark.SparkConf
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
import org.slf4j.{Logger, LoggerFactory}

object SparkConvertRDDtoDataset {

  def main(args: Array[String]): Unit = {


    val log: Logger = LoggerFactory.getLogger(getClass)
    val conf: SparkConf = new SparkConf()
    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/convert_dataset_json_params.json")))
    parser.parseArgument(args)
    val spark: SparkSession =
      SparkSession
        .builder()
        .config(conf)
        .appName(getClass.getSimpleName)
        .master(parser.get("master")).getOrCreate()

    val sourcePath = parser.get("sourcePath")
    log.info(s"sourcePath  -> $sourcePath")
    val t = parser.get("targetPath")
    log.info(s"targetPath  -> $t")

    val entityPath = s"$t/entities"
    val relPath = s"$t/relation"
    val mapper = new ObjectMapper()
    implicit val datasetEncoder: Encoder[OafDataset] = Encoders.kryo(classOf[OafDataset])
    implicit val publicationEncoder: Encoder[Publication] = Encoders.kryo(classOf[Publication])
    implicit val relationEncoder: Encoder[Relation] = Encoders.kryo(classOf[Relation])
    implicit val orpEncoder: Encoder[OtherResearchProduct] = Encoders.kryo(classOf[OtherResearchProduct])
    implicit val softwareEncoder: Encoder[Software] = Encoders.kryo(classOf[Software])


    log.info("Converting dataset")
    val rddDataset = spark.sparkContext.textFile(s"$sourcePath/dataset").map(s => mapper.readValue(s, classOf[OafDataset]))
    spark.createDataset(rddDataset).as[OafDataset].write.mode(SaveMode.Overwrite).save(s"$entityPath/dataset")


    log.info("Converting publication")
    val rddPublication = spark.sparkContext.textFile(s"$sourcePath/publication").map(s => mapper.readValue(s, classOf[Publication]))
    spark.createDataset(rddPublication).as[Publication].write.mode(SaveMode.Overwrite).save(s"$entityPath/publication")

    log.info("Converting software")
    val rddSoftware = spark.sparkContext.textFile(s"$sourcePath/software").map(s => mapper.readValue(s, classOf[Software]))
    spark.createDataset(rddSoftware).as[Software].write.mode(SaveMode.Overwrite).save(s"$entityPath/software")

    log.info("Converting otherresearchproduct")
    val rddOtherResearchProduct = spark.sparkContext.textFile(s"$sourcePath/otherresearchproduct").map(s => mapper.readValue(s, classOf[OtherResearchProduct]))
    spark.createDataset(rddOtherResearchProduct).as[OtherResearchProduct].write.mode(SaveMode.Overwrite).save(s"$entityPath/otherresearchproduct")


    log.info("Converting Relation")


    val relationSemanticFilter = List("cites", "iscitedby", "merges", "ismergedin")

    val rddRelation = spark.sparkContext.textFile(s"$sourcePath/relation")
      .map(s => mapper.readValue(s, classOf[Relation]))
      .filter(r => r.getSource.startsWith("50") && r.getTarget.startsWith("50"))
      .filter(r => !relationSemanticFilter.exists(k => k.equalsIgnoreCase(r.getRelClass)))
    spark.createDataset(rddRelation).as[Relation].write.mode(SaveMode.Overwrite).save(s"$relPath")


  }
}