package et_analyze

import (
	"encoding/json"
	"fmt"
	"gitea.anxinyun.cn/container/common_models"
	"gitea.anxinyun.cn/container/common_utils"
	"gitea.anxinyun.cn/container/common_utils/configLoad"
	"gitea.anxinyun.cn/container/common_utils/kafkaHelper"
	"log"
	"strconv"
)

type AggThresholdHandler struct {
	alarmTopic         string
	configHelper       *common_utils.ConfigHelper
	kafkaAsyncProducer *kafkaHelper.KafkaAsyncProducer
}

func NewAggThresholdHandler() *AggThresholdHandler {
	configYaml := configLoad.LoadConfig()
	redisAdd := configYaml.GetString("redis.address")
	kafkaBrokers := configYaml.GetStringSlice("kafka.brokers")
	alarmTopic := configYaml.GetString("kafka.topics.alarm_anxinyun")

	return &AggThresholdHandler{
		alarmTopic:         alarmTopic,
		configHelper:       common_utils.NewConfigHelper(redisAdd),
		kafkaAsyncProducer: kafkaHelper.NewKafkaAsyncProducer(kafkaBrokers),
	}
}

// ProcessData 进行 aggData 阈值分析，向 kafka 发送 alarm 消息
func (t *AggThresholdHandler) ProcessData(aggData *common_models.AggData) {
	if aggData == nil || aggData.Changed == nil || len(aggData.Changed) == 0 {
		log.Printf("aggData 非法数据：[%v]\n", aggData)
		return
	}

	alarmMsg := t.judgeThreshold(aggData)
	if alarmMsg != nil {
		stationInfo, _ := t.configHelper.GetStationInfo(aggData.SensorId)
		alarmMsg.Sponsor = common_models.Alarm_Sponsor_Recv
		jsonData, err := json.Marshal(alarmMsg)
		if err != nil {
			fmt.Printf("测点[%d-%s][kafka-topic:%s][%v]Error marshalling JSON:%s \n", stationInfo.Id, stationInfo.Name, t.alarmTopic, alarmMsg, err)
		}

		// 发布 kafka 消息
		fmt.Printf("测点[%d-%s][kafka-topic:%s]%s\n", stationInfo.Id, stationInfo.Name, t.alarmTopic, jsonData)
		t.kafkaAsyncProducer.Publish(t.alarmTopic, jsonData)
	}
}

func (t *AggThresholdHandler) judgeThreshold(aggData *common_models.AggData) *common_models.AlarmMsg {
	var aggTypeMap = map[int]string{
		2001: "日聚集",
		2002: "周聚集",
		2003: "月聚集",
		2004: "年聚集",
		2005: "时聚集",
		2006: "10分钟聚集",
	}
	aggTypeStr := aggTypeMap[aggData.AggTypeId]
	if aggTypeStr == "" {
		aggTypeStr = "其他聚集"
	}

	// 检查测点是否有聚集阈值配置信息
	aggThreshold, err := t.configHelper.GetAggThreshold(aggData.StructId, aggData.FactorId)
	if err != nil || aggThreshold.Items == nil || len(aggThreshold.Items) == 0 {
		log.Printf("未配置aggThreshold，无须进行阈值判断：[structId:%d factorId:%d] \n", aggData.StructId, aggData.FactorId)
		return nil
	}

	factor, err := t.configHelper.GetFactorInfo(aggData.FactorId)
	if err != nil || factor.Items == nil || len(factor.Items) == 0 {
		log.Printf("获取factor异常：[structId:%d factorId:%d]Error: %v \n", aggData.StructId, aggData.FactorId, err)
		return nil
	}

	var ls []common_models.ThresholdAlarmDetail

	// Changed     map[string]float64 // 变化量
	for fieldName, val := range aggData.Changed {
		protoItem := factor.GetProtoItem(fieldName)
		if protoItem == nil {
			log.Printf("测点[%d-%d-%d][%s]aggData[%v]，但是Redis中没有对应的[protoItem:%s]。\n",
				aggData.StructId, aggData.FactorId, aggData.SensorId, aggData.Date, aggData, fieldName)
		} else {
			protoItemThs := aggThreshold.GetThresholdsByItem(aggThreshold.Items, protoItem.Id)
			overThresholdItem := aggThreshold.FindThresholdInRange(protoItemThs, val)
			if overThresholdItem != nil {
				// content 格式如：应变的10分钟聚集变化率:-0.60με,超1级阈值[-1~-0.5]
				content := fmt.Sprintf("%s的%s变化率:%.2f%s,超%d级阈值[%s]", protoItem.Name, aggTypeStr, val, protoItem.UnitName, overThresholdItem.Level, overThresholdItem.RangeText())
				ls = append(ls, common_models.ThresholdAlarmDetail{Level: overThresholdItem.Level, Content: content})
			}
			//log.Printf("[aggThreshold judgeThreshold] 测点[sensorId: %d] fieldName: %s, ChangedVal (float64): %f\n", aggData.SensorId, fieldName, val)
		}
	}

	alarmMsg := t.getAndCacheAlarmMsg(aggData, ls)
	return alarmMsg
}

func (t *AggThresholdHandler) getAndCacheAlarmMsg(aggData *common_models.AggData, ls []common_models.ThresholdAlarmDetail) *common_models.AlarmMsg {
	stationInfo, err := t.configHelper.GetStationInfo(aggData.SensorId)
	if err != nil {
		log.Printf("[%v]测点不存在\n", aggData)
		return nil
	}

	if ls != nil && len(ls) > 0 {
		// 超阈值告警
		alarm := common_models.NewOverChangingRateThreshold(findMinLevel(ls), stringifyThresholds(ls))
		if alarm == nil {
			//log.Printf("[%v] over-agg-threshold:[Level：%d] content:[%s]ERROR: 未找到对应告警等级的告警码。", aggData, alarm.Level, alarm.Content)
			return nil
		}
		log.Printf("[%v] over-agg-threshold:[Level：%d] content:[%s]", aggData, alarm.Level, alarm.Content)

		// 将测点信息 -> 告警信息
		alarmMsg := alarm.ToAlarmMsg(stationInfo, aggData.Date)

		// Redis 中添加告警记录, key = alarm:2:100
		redisKey := common_models.AlarmRedisKey(common_models.ALARM_SOURCE_STATION, strconv.Itoa(aggData.SensorId))
		t.configHelper.SAddAlarm(redisKey, alarm.AlarmType)

		return &alarmMsg

	} else {
		// Redis 中删除告警记录，key = alarm:2:100
		redisKey := common_models.AlarmRedisKey(common_models.ALARM_SOURCE_STATION, strconv.Itoa(aggData.SensorId))
		affects := t.configHelper.SRemAlarm(redisKey, common_models.Alarm_Type_Over_ChangeRate_Threshold)

		// 如果Redis中存在告警，则要发送恢复告警
		if affects > 0 {
			alarm := common_models.NewRecoverChangingRateThreshold()
			alarmMsg := alarm.ToAlarmMsg(stationInfo, aggData.Date)
			return &alarmMsg
		}
	}

	return nil
}