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"
	"node/stages"
	"strconv"
)

type ThresholdHandler struct {
	alarmTopic         string                          // 本模块业务字段
	stage              *stages.Stage                   // 必须
	configHelper       *common_utils.ConfigHelper      // 可选
	kafkaAsyncProducer *kafkaHelper.KafkaAsyncProducer // 可选
	kafkaAlarmTopic    string                          // 可选
}

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

	model := &ThresholdHandler{
		alarmTopic:         alarmTopic,
		stage:              stages.NewStage("阈值判断"),
		configHelper:       common_utils.NewConfigHelper(redisAdd),
		kafkaAsyncProducer: kafkaHelper.NewKafkaAsyncProducer(kafkaBrokers),
		kafkaAlarmTopic:    alarmTopic,
	}

	model.stage.AddProcess(model.processData)
	return model
}

func (t *ThresholdHandler) GetStage() stages.Stage {
	return *t.stage
}

// 必须
func (t *ThresholdHandler) processData(resultData *common_models.ProcessData) *common_models.ProcessData {
	if resultData == nil || resultData.Stations == nil || len(resultData.Stations) == 0 {
		return resultData
	}

	for i := range resultData.Stations {
		station := &resultData.Stations[i]
		alarmMsg := t.judgeThreshold(station)

		//fmt.Printf("测点[%d-%s]kafka[topic:%s][content:%s]\n", station.Info.Id, station.Info.Name, t.alarmTopic, alarmMsg.Content)
		if alarmMsg != nil {
			// 设置发起者
			alarmMsg.Sponsor = common_models.Alarm_Sponsor_Threshold
			jsonData, err := json.Marshal(alarmMsg)
			if err != nil {
				log.Printf("测点[%d-%s][kafka-topic:%s][%v]Error marshalling JSON:%s \n", station.Info.Id, station.Info.Name, t.alarmTopic, alarmMsg, err)
				continue
			}

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

	return resultData
}

func (t *ThresholdHandler) judgeThreshold(station *common_models.Station) *common_models.AlarmMsg {
	// 检查测点是否有阈值配置信息
	if station.Threshold == nil || station.Threshold.Items == nil {
		log.Printf("测点[%d-%s]未配置阈值，无须进行阈值判断\n", station.Info.Id, station.Info.Name)
		return nil
	}

	// 获取测点数据的阈值配置
	filteredItems := station.Threshold.GetThresholdsByTime(station.Data.CollectTime)
	if len(filteredItems) == 0 {
		log.Printf("测点[%d-%s][%s]无对应阈值项，无须进行阈值判断\n", station.Info.Id, station.Info.Name, station.Data.CollectTime)
		return nil
	}

	var ls []common_models.ThresholdAlarmDetail
	for fieldName, themeVal := range station.Data.ThemeData {
		if val, ok := themeVal.(float64); ok {
			protoItem := station.Info.Proto.GetProtoItem(fieldName)
			if protoItem == nil {
				log.Printf("测点[%d-%s][%s][%s]themeData[%v]，但是Redis中没有对应的[protoItem:%s]。\n",
					station.Info.Id, station.Info.Name, station.Data.CollectTime, fieldName, station.Data.ThemeData, fieldName)
			} else {
				protoItemThs := station.Threshold.GetThresholdsByItem(filteredItems, protoItem.Id)
				overThresholdItem := station.Threshold.FindThresholdInRange(protoItemThs, val)
				if overThresholdItem != nil {
					// content 格式如：1:湿度采集值:13.50%RH,超1级阈值[6~16]
					content := fmt.Sprintf("%s采集值:%f%s,超%d级阈值[%s]", protoItem.Name, val, protoItem.UnitName, overThresholdItem.Level, overThresholdItem.RangeText())
					ls = append(ls, common_models.ThresholdAlarmDetail{Level: overThresholdItem.Level, Content: content})
				}
				//fmt.Printf("[threshold judgeThreshold] 测点[%d-%s] fieldName: %s, ThemeVal (float64): %f\n", station.Info.Id, station.Info.Name, fieldName, val)
			}
		} else {
			log.Printf("[threshold judgeThreshold] 测点[%d-%s] fieldName: %s, ThemeVal cannot be converted to float64\n", station.Info.Id, station.Info.Name, fieldName)
		}
	}

	// []ThresholdAlarmDetail -> AlarmMsg
	alarmMsg := t.getAndCacheAlarmMsg(station, ls)
	return alarmMsg
}

// GetAndCacheAlarmMsg 获取和缓存 AlarmMsg
func (t *ThresholdHandler) getAndCacheAlarmMsg(station *common_models.Station, ls []common_models.ThresholdAlarmDetail) *common_models.AlarmMsg {
	if ls != nil && len(ls) > 0 {
		// 超阈值告警
		alarm := common_models.NewAlarmOverThreshold(findMinLevel(ls), stringifyThresholds(ls))
		if alarm == nil {
			//log.Printf("over-threshold [%d-%s] level:%d code:%s content:%s time:%s ERROR: 未找到对应告警等级的告警码。\n",
			//	station.Info.Id, station.Info.Name, alarm.Level, alarm.Code, alarm.Content, station.Data.CollectTime)
			return nil
		}

		// 给测点数据设置告警等级
		station.Data.AlarmLevel = alarm.Level
		log.Printf("over-threshold [%d-%s] level:%d code:%s content:%s time:%s\n",
			station.Info.Id, station.Info.Name, alarm.Level, alarm.Code, alarm.Content, station.Data.CollectTime)

		// 将测点信息 -> 告警信息
		alarmMsg := alarm.ToAlarmMsg(station.Info, station.Data.CollectTime)

		// Redis 中添加告警记录, key = alarm:2:100
		redisKey := common_models.AlarmRedisKey(common_models.ALARM_SOURCE_STATION, strconv.Itoa(station.Info.Id))
		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(station.Info.Id))
		affects := t.configHelper.SRemAlarm(redisKey, common_models.Alarm_Type_Over_Threshold)
		if affects > 0 {
			// 如果Redis中存在告警，则要发送恢复告警
			alarm := common_models.NewAlarmRecoverThreshold()
			alarmMsg := alarm.ToAlarmMsg(station.Info, station.Data.CollectTime)
			return &alarmMsg
		}
	}

	// 既没有产生新告警，也没有需要恢复的告警
	return nil
}

func findMinLevel(ls []common_models.ThresholdAlarmDetail) int {
	minLevel := ls[0].Level
	for _, detail := range ls {
		if detail.Level < minLevel {
			minLevel = detail.Level
		}
	}
	return minLevel
}

func stringifyThresholds(ls []common_models.ThresholdAlarmDetail) string {
	str := ""
	for _, detail := range ls {
		str += fmt.Sprintf("%d:%s;", detail.Level, detail.Content)
	}
	return str
}