package eu.dnetlib.dhp.provision;

import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.provision.scholix.Scholix;
import eu.dnetlib.dhp.provision.scholix.summary.ScholixSummary;
import org.apache.commons.io.IOUtils;
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.MapFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.elasticsearch.spark.rdd.api.java.JavaEsSpark;

import java.nio.file.attribute.AclFileAttributeView;
import java.util.HashMap;
import java.util.Map;

public class SparkIndexCollectionOnES {

    public static void main(String[] args) throws Exception{

        final ArgumentApplicationParser parser = new ArgumentApplicationParser(IOUtils.toString(SparkIndexCollectionOnES.class.getResourceAsStream("/eu/dnetlib/dhp/provision/index_on_es.json")));
        parser.parseArgument(args);

        SparkConf conf = new SparkConf().setAppName(SparkIndexCollectionOnES.class.getSimpleName())
                .setMaster(parser.get("master"));

        conf.set("spark.sql.shuffle.partitions","4000");


        final String sourcePath = parser.get("sourcePath");
        final String index = parser.get("index");
        final String idPath = parser.get("idPath");
        final String type = parser.get("type");

        final SparkSession spark = SparkSession.builder().config(conf).getOrCreate();


        final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());

        JavaRDD<String> inputRdd;


        if("summary".equalsIgnoreCase(type))
            inputRdd = spark.read().load(sourcePath).as(Encoders.bean(ScholixSummary.class)).map((MapFunction<ScholixSummary, String>) f -> {
                final ObjectMapper mapper = new ObjectMapper();
                return mapper.writeValueAsString(f);
            }, Encoders.STRING()).javaRDD();

        else
            inputRdd = sc.textFile(sourcePath);

        Map<String, String> esCfg = new HashMap<>();
        esCfg.put("es.nodes", "10.19.65.51, 10.19.65.52, 10.19.65.53, 10.19.65.54");
        esCfg.put("es.mapping.id", idPath);
        esCfg.put("es.batch.write.retry.count", "8");
        esCfg.put("es.batch.write.retry.wait", "60s");
        esCfg.put("es.batch.size.entries", "200");
        esCfg.put("es.nodes.wan.only", "true");
        JavaEsSpark.saveJsonToEs(inputRdd,index, esCfg);

    }
}