package eu.dnetlib.dhp.collection;

import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.model.mdstore.MetadataRecord;
import eu.dnetlib.dhp.model.mdstore.Provenance;
import eu.dnetlib.message.Message;
import eu.dnetlib.message.MessageManager;
import eu.dnetlib.message.MessageType;
import org.apache.commons.cli.*;
import org.apache.commons.lang3.StringUtils;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoder;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.apache.spark.util.LongAccumulator;
import org.dom4j.Document;
import org.dom4j.Node;
import org.dom4j.io.SAXReader;

import java.io.ByteArrayInputStream;
import java.nio.charset.StandardCharsets;
import java.util.HashMap;
import java.util.Map;
import java.util.Objects;

public class GenerateNativeStoreSparkJob {


    public static MetadataRecord parseRecord (final String input, final String xpath, final String encoding, final Provenance provenance, final Long dateOfCollection, final LongAccumulator totalItems, final LongAccumulator invalidRecords)  {

        if(totalItems != null)
            totalItems.add(1);
        try {
            SAXReader reader = new SAXReader();
            Document document = reader.read(new ByteArrayInputStream(input.getBytes(StandardCharsets.UTF_8)));
            Node node = document.selectSingleNode(xpath);
            final String originalIdentifier = node.getText();
            if (StringUtils.isBlank(originalIdentifier)) {
                if (invalidRecords!= null)
                    invalidRecords.add(1);
                return null;
            }
            return new MetadataRecord(originalIdentifier, encoding, provenance, input, dateOfCollection);
        } catch (Throwable e) {
            if (invalidRecords!= null)
                invalidRecords.add(1);
            e.printStackTrace();
            return null;

        }
    }

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

        Options options = generateApplicationArguments();


        CommandLineParser parser = new DefaultParser();
        CommandLine cmd = parser.parse( options, args);

        final String encoding               = cmd.getOptionValue("e");
        final long dateOfCollection         = new Long(cmd.getOptionValue("d"));
        final String jsonProvenance         = cmd.getOptionValue("p");
        final ObjectMapper jsonMapper       = new ObjectMapper();
        final Provenance provenance         = jsonMapper.readValue(jsonProvenance, Provenance.class);
        final String xpath                  = cmd.getOptionValue("x");
        final String inputPath              = cmd.getOptionValue("i");
        final String outputPath             = cmd.getOptionValue("o");
        final String rabbitUser 			= cmd.getOptionValue("ru");
        final String rabbitPassword		    = cmd.getOptionValue("rp");
        final String rabbitHost 			= cmd.getOptionValue("rh");
        final String rabbitOngoingQueue 	= cmd.getOptionValue("ro");
        final String rabbitReportQueue  	= cmd.getOptionValue("rr");
        final String workflowId 			= cmd.getOptionValue("w");

        final SparkSession spark = SparkSession
                .builder()
                .appName("GenerateNativeStoreSparkJob")
                .master("yarn")
                .getOrCreate();

        final Map<String, String> ongoingMap = new HashMap<>();
        final Map<String, String> reportMap = new HashMap<>();

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

        final JavaPairRDD<IntWritable, Text> inputRDD = sc.sequenceFile(inputPath, IntWritable.class, Text.class);

        final LongAccumulator totalItems = sc.sc().longAccumulator("TotalItems");

        final LongAccumulator invalidRecords = sc.sc().longAccumulator("InvalidRecords");

        final MessageManager manager = new MessageManager(rabbitHost, rabbitUser, rabbitPassword, false, false, null);

        final JavaRDD<MetadataRecord> mappeRDD = inputRDD.map(item -> parseRecord(item._2().toString(), xpath, encoding, provenance, dateOfCollection, totalItems, invalidRecords))
                .filter(Objects::nonNull).distinct();

        ongoingMap.put("ongoing", "0");
        manager.sendMessage(new Message(workflowId,"DataFrameCreation", MessageType.ONGOING, ongoingMap ), rabbitOngoingQueue, true, false);

        final Encoder<MetadataRecord> encoder = Encoders.bean(MetadataRecord.class);
        final Dataset<MetadataRecord> mdstore = spark.createDataset(mappeRDD.rdd(), encoder);
        final LongAccumulator mdStoreRecords = sc.sc().longAccumulator("MDStoreRecords");
        mdStoreRecords.add(mdstore.count());
        ongoingMap.put("ongoing", ""+ totalItems.value());
        manager.sendMessage(new Message(workflowId,"DataFrameCreation", MessageType.ONGOING, ongoingMap ), rabbitOngoingQueue, true, false);

        mdstore.write().format("parquet").save(outputPath);
        reportMap.put("inputItem" , ""+ totalItems.value());
        reportMap.put("invalidRecords", "" + invalidRecords.value());
        reportMap.put("mdStoreSize", "" + mdStoreRecords.value());
        manager.sendMessage(new Message(workflowId,"Collection", MessageType.REPORT, reportMap ), rabbitReportQueue, true, false);
    }

    private static Options generateApplicationArguments() {
        Options options = new Options();
        options.addOption(Option.builder("e")
                .longOpt("encoding")
                .required(true)
                .desc("the encoding type should be xml or json")
                .hasArg() // This option has an argument.
                .build());
        options.addOption(Option.builder("d")
                .longOpt("dateOfCollection")
                .required(true)
                .desc("the date of collection")
                .hasArg() // This option has an argument.
                .build());

        options.addOption(Option.builder("p")
                .longOpt("provenance")
                .required(true)
                .desc("the json Provenance information")
                .hasArg() // This option has an argument.
                .build());

        options.addOption(Option.builder("x")
                .longOpt("xpath")
                .required(true)
                .desc("xpath of the identifier")
                .hasArg() // This option has an argument.
                .build());

        options.addOption(Option.builder("i")
                .longOpt("input")
                .required(true)
                .desc("input path of the sequence file")
                .hasArg() // This option has an argument.
                .build());
        options.addOption(Option.builder("o")
                .longOpt("output")
                .required(true)
                .desc("output path of the mdstore")
                .hasArg()
                .build());

        options.addOption(Option.builder("ru")
                .longOpt("rabbitUser")
                .required(true)
                .desc("the user to connect with RabbitMq for messaging")
                .hasArg() // This option has an argument.
                .build());

        options.addOption(Option.builder("rp")
                .longOpt("rabbitPassWord")
                .required(true)
                .desc("the password to connect with RabbitMq for messaging")
                .hasArg() // This option has an argument.
                .build());

        options.addOption(Option.builder("rh")
                .longOpt("rabbitHost")
                .required(true)
                .desc("the host of the RabbitMq server")
                .hasArg() // This option has an argument.
                .build());

        options.addOption(Option.builder("ro")
                .longOpt("rabbitOngoingQueue")
                .required(true)
                .desc("the name of the ongoing queue")
                .hasArg() // This option has an argument.
                .build());

        options.addOption(Option.builder("rr")
                .longOpt("rabbitReportQueue")
                .required(true)
                .desc("the name of the report queue")
                .hasArg() // This option has an argument.
                .build());


        options.addOption(Option.builder("w")
                .longOpt("workflowId")
                .required(true)
                .desc("the identifier of the dnet Workflow")
                .hasArg() // This option has an argument.
                .build());
        return options;
    }
}