package com.zdjizhi.etl.connection;

import cn.hutool.core.convert.Convert;
import cn.hutool.core.date.DateUtil;
import cn.hutool.log.Log;
import cn.hutool.log.LogFactory;
import com.alibaba.fastjson.util.TypeUtils;
import org.apache.flink.api.common.functions.ReduceFunction;
import org.apache.flink.api.java.tuple.Tuple5;

import java.util.Map;


/**
 * @author 94976
 */
public class ConnReduceFunction implements ReduceFunction<Map<String, Object>> {

    private static final Log logger = LogFactory.get();

    //
//    public void process(Tuple2<String, String> keys, Context context, Iterable<Map<String, Object>> elements, Collector<Map<String, Object>> out) {
//        try {
//            Tuple5<Long, Long, Long, Long, Long> values = sum(elements);
//            if (values != null) {
//                Map<String, Object> result = new HashMap<>();
//                result.put("start_time", values.f0);
//                result.put("end_time", values.f1);
//                result.put("src_ip", keys.f0);
//                result.put("dst_ip", keys.f1);
//                result.put("sessions", values.f2);
//                result.put("packets", values.f3);
//                result.put("bytes", values.f4);
//                out.collect(result);
//                logger.debug("获取中间聚合结果：{}", result.toString());
//            }
//        } catch (Exception e) {
//            logger.error("获取中间聚合结果失败,middleResult: {}", e);
//        }
//    }
//
    private Tuple5<Long, Long, Long, Long, Long> sum(Map<String, Object> map1, Map<String, Object> map2) {

        try {
            long sessions = 0L;
            long packets = 0L;
            long bytes = 0L;
            long startTime = DateUtil.currentSeconds();
            long endTime = DateUtil.currentSeconds();

            long connStartTime1 = Convert.toLong(map1.get("conn_start_time"));
            long connStartTime2 = Convert.toLong(map2.get("conn_start_time"));
            if (connStartTime1 > 0 && connStartTime2 > 0) {
                sessions++;
                packets = TypeUtils.castToLong(map1.get("total_cs_pkts")) + TypeUtils.castToLong(map1.get("total_sc_pkts")) +
                        TypeUtils.castToLong(map2.get("total_cs_pkts")) + TypeUtils.castToLong(map2.get("total_sc_pkts"));

                bytes = bytes + TypeUtils.castToLong(map1.get("total_cs_bytes")) + TypeUtils.castToLong(map1.get("total_sc_bytes")) +
                        TypeUtils.castToLong(map2.get("total_cs_bytes")) + TypeUtils.castToLong(map2.get("total_sc_bytes"));

                startTime = connStartTime1 < connStartTime2 ? connStartTime1 : connStartTime2;
                endTime = connStartTime2 < connStartTime1 ? connStartTime1 : connStartTime2;

                packets = packets > Long.MAX_VALUE ? 0 : packets;
                bytes = bytes > Long.MAX_VALUE ? 0 : bytes;

            }

        } catch (Exception e) {
            logger.error("聚合中间结果集失败 {}", e);
        }
        return null;
    }

    @Override
    public Map<String, Object> reduce(Map<String, Object> map1, Map<String, Object> map2) throws Exception {

        return null;
    }
}