package models

import (
	"errors"
	"eta/eta_index_lib/utils"
	"fmt"
	"github.com/beego/beego/v2/client/orm"
	"github.com/shopspring/decimal"
	"strconv"
	"strings"
	"time"
)

// SavePredictCalculateBp 变频
func SavePredictCalculateBp(req *EdbInfoCalculateBatchSaveReq, fromEdbInfo *EdbInfo, edbCode, uniqueCode string, sysUserId int, sysUserRealName string) (edbInfo *EdbInfo, latestDateStr string, latestValue float64, err error) {
	o := orm.NewOrm()
	to, err := o.Begin()
	if err != nil {
		return
	}
	defer func() {
		if err != nil {
			fmt.Println("AddPredictCalculateBp,Err:" + err.Error())
			_ = to.Rollback()
		} else {
			_ = to.Commit()
		}
	}()
	if req.EdbInfoId <= 0 {
		edbInfo = new(EdbInfo)
		edbInfo.EdbInfoType = 1
		edbInfo.Source = utils.DATA_SOURCE_PREDICT_CALCULATE_BP
		edbInfo.SourceName = "预测变频"
		edbInfo.EdbCode = edbCode
		edbInfo.EdbName = req.EdbName
		edbInfo.EdbNameSource = req.EdbName
		edbInfo.Frequency = req.Frequency
		edbInfo.Unit = req.Unit
		edbInfo.ClassifyId = req.ClassifyId
		edbInfo.SysUserId = sysUserId
		edbInfo.SysUserRealName = sysUserRealName
		edbInfo.CreateTime = time.Now()
		edbInfo.ModifyTime = time.Now()
		edbInfo.UniqueCode = uniqueCode
		edbInfo.CalculateFormula = req.Formula
		edbInfo.EdbType = 2
		newEdbInfoId, tmpErr := to.Insert(edbInfo)
		if tmpErr != nil {
			err = tmpErr
			return
		}
		edbInfo.EdbInfoId = int(newEdbInfoId)
		//关联关系
		{
			calculateMappingItem := new(EdbInfoCalculateMapping)
			calculateMappingItem.CreateTime = time.Now()
			calculateMappingItem.ModifyTime = time.Now()
			calculateMappingItem.Sort = 1
			calculateMappingItem.EdbCode = edbCode
			calculateMappingItem.EdbInfoId = edbInfo.EdbInfoId
			calculateMappingItem.FromEdbInfoId = fromEdbInfo.EdbInfoId
			calculateMappingItem.FromEdbCode = fromEdbInfo.EdbCode
			calculateMappingItem.FromEdbName = fromEdbInfo.EdbName
			calculateMappingItem.FromSource = fromEdbInfo.Source
			calculateMappingItem.FromSourceName = fromEdbInfo.SourceName
			calculateMappingItem.FromTag = ""
			calculateMappingItem.Source = edbInfo.Source
			calculateMappingItem.SourceName = edbInfo.SourceName
			_, err = to.Insert(calculateMappingItem)
			if err != nil {
				return
			}
		}
	} else {
		edbInfo, err = GetEdbInfoById(req.EdbInfoId)
		if err != nil {
			return
		}
		latestDateStr = edbInfo.LatestDate
		latestValue = edbInfo.LatestValue
		//修改指标信息
		edbInfo.EdbName = req.EdbName
		edbInfo.EdbNameSource = req.EdbName
		edbInfo.Frequency = req.Frequency
		edbInfo.Unit = req.Unit
		edbInfo.ClassifyId = req.ClassifyId
		edbInfo.ModifyTime = time.Now()
		_, err = to.Update(edbInfo, "EdbName", "EdbNameSource", "Frequency", "Unit", "ClassifyId", "ModifyTime")
		if err != nil {
			return
		}

		//判断计算指标是否被更换
		var existCondition string
		var existPars []interface{}
		existCondition += " AND edb_info_id=? AND from_edb_info_id=? "
		existPars = append(existPars, edbInfo.EdbInfoId, req.FromEdbInfoId)

		count, e := GetEdbInfoCalculateCountByCondition(existCondition, existPars)
		if e != nil {
			err = errors.New("判断指标是否改变失败,Err:" + e.Error())
			return
		}
		if count > 0 { // 指标未被替换，无需重新计算
			return
		}

		//删除，计算指标关联的，基础指标的关联关系
		sql := ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id = ? `
		_, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
		if err != nil {
			err = errors.New("删除计算指标关联关系失败,Err:" + err.Error())
			return
		}
		//清空原有数据
		sql = ` DELETE FROM edb_data_predict_calculate_bp WHERE edb_info_id = ? `
		_, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
		if err != nil {
			return
		}
		//关联关系
		{
			calculateMappingItem := &EdbInfoCalculateMapping{
				EdbInfoCalculateMappingId: 0,
				EdbInfoId:                 edbInfo.EdbInfoId,
				Source:                    utils.DATA_SOURCE_PREDICT_CALCULATE_BP,
				SourceName:                "预测变频",
				EdbCode:                   edbInfo.EdbCode,
				FromEdbInfoId:             fromEdbInfo.EdbInfoId,
				FromEdbCode:               fromEdbInfo.EdbCode,
				FromEdbName:               fromEdbInfo.EdbName,
				FromSource:                fromEdbInfo.Source,
				FromSourceName:            fromEdbInfo.SourceName,
				FromTag:                   "",
				Sort:                      1,
				CreateTime:                time.Now(),
				ModifyTime:                time.Now(),
			}
			_, err = to.Insert(calculateMappingItem)
			if err != nil {
				return
			}
		}
	}

	//计算数据
	latestDateStr, latestValue, err = refreshAllPredictCalculateBp(to, edbInfo.EdbInfoId, edbInfo.Source, fromEdbInfo, edbInfo.EdbCode, "", "", 0)

	return
}

func RefreshAllPredictCalculateBp(edbInfoId, source int, fromEdbInfo *EdbInfo, edbCode, startDate, endDate string) (latestDateStr string, latestValue float64, err error) {
	o := orm.NewOrm()
	to, err := o.Begin()
	if err != nil {
		return
	}
	defer func() {
		if err != nil {
			fmt.Println("RefreshAllPredictCalculateBp,Err:" + err.Error())
			_ = to.Rollback()
		} else {
			_ = to.Commit()
		}
	}()

	// 计算数据
	latestDateStr, latestValue, err = refreshAllPredictCalculateBp(to, edbInfoId, source, fromEdbInfo, edbCode, startDate, endDate, 1)
	return
}

// refreshAllPredictCalculateBp 刷新变频数据
func refreshAllPredictCalculateBp(to orm.TxOrmer, edbInfoId, source int, fromEdbInfo *EdbInfo, edbCode, startDate, endDate string, order int) (latestDateStr string, latestValue float64, err error) {
	edbInfoIdStr := strconv.Itoa(edbInfoId)
	// 获取关联指标数据
	dataList, err := GetPredictEdbDataListAllByStartDate(fromEdbInfo, order, "")
	if err != nil {
		return
	}
	latestDateStr = fromEdbInfo.LatestDate

	var dateArr []string
	dataMap := make(map[string]*EdbInfoSearchData)
	fromDataMap := make(map[string]float64)
	//来源指指标数据
	for _, v := range dataList {
		dateArr = append(dateArr, v.DataTime)
		dataMap[v.DataTime] = v
		fromDataMap[v.DataTime] = v.Value
	}
	fmt.Println("source:", source)

	//获取变频指标所有数据
	existDataList, err := GetAllEdbDataListByTo(to, edbInfoId, source)
	if err != nil {
		return
	}
	//计算指标的map
	existDataMap := make(map[string]*EdbData, 0)

	addSql := ` INSERT INTO edb_data_predict_calculate_bp(edb_info_id,edb_code,data_time,value,create_time,modify_time,data_timestamp) values `
	var isAdd bool

	var lastValue float64   //最后数据的值(float64)
	var lastValueStr string //最后数据的值(string)
	//待删除的日期
	removeDateList := make([]string, 0)
	if len(existDataList) > 0 {
		//第一个已经入库的日期
		firstExistDataTimeStr := existDataList[0].DataTime //计算指标数据第一条的日期字符串
		if len(dateArr) > 0 {
			firstFromDataTimeStr := dateArr[0]                                                                 //来源数据第一条的日期字符串
			firstExistDataTime, _ := time.ParseInLocation(utils.FormatDate, firstExistDataTimeStr, time.Local) //计算指标数据第一条的日期（time类型）
			firstFromDataTime, _ := time.ParseInLocation(utils.FormatDate, firstFromDataTimeStr, time.Local)   //来源数据第一条的日期（time类型）
			nowDateStr := time.Now().Format(utils.FormatDate)                                                  //当天日期字符串
			nowDate, _ := time.ParseInLocation(utils.FormatDate, nowDateStr, firstFromDataTime.Location())     //当天日期（time类型）

			lastValue = fromDataMap[firstFromDataTimeStr]
			lastValueStr = decimal.NewFromFloat(lastValue).String()
			//第一步： 判断来源指标的开始时间与计算指标的开始时间是否相等，相等的话，那么就不需要对两个时间之间的数据做处理
			if firstExistDataTimeStr != firstFromDataTimeStr {
				if firstExistDataTime.Before(firstFromDataTime) { //如果计算指标第一条数据的开始时间 早于 来源指标的第一条开始时间，那么需要对两个时间之间的计算指标数据做 删除处理
					for _, v := range existDataList {
						if v.DataTime == firstFromDataTimeStr {
							if tmpLastValue, ok := fromDataMap[firstFromDataTimeStr]; ok { //来源指标当天的数据
								lastValue = tmpLastValue
								lastValueStr = decimal.NewFromFloat(lastValue).String()
							}
							break
						}
						removeDateList = append(removeDateList, v.DataTime)
					}
				} else {
					for _, v := range dateArr { //如果计算指标第一条数据的开始时间 晚于 来源指标的第一条开始时间，那么需要对两个时间之间的计算指标数据做 新增处理
						vDataTime, _ := time.ParseInLocation(utils.FormatDate, v, time.Local) //当前日期（time类型）
						if firstExistDataTime.Equal(vDataTime) || firstExistDataTime.Before(vDataTime) {
							if tmpLastValue, ok := fromDataMap[v]; ok { //来源指标当天的数据
								lastValue = tmpLastValue
								lastValueStr = decimal.NewFromFloat(lastValue).String()
							}
							break
						}

						currentDate, _ := time.ParseInLocation(utils.FormatDate, v, time.Local)
						timestamp := currentDate.UnixNano() / 1e6
						timestampStr := fmt.Sprintf("%d", timestamp)
						addSql += GetAddSql(edbInfoIdStr, edbCode, v, timestampStr, lastValueStr)
						// 实际数据的值
						if fromEdbInfo.LatestDate == v {
							latestValue = lastValue
						}
						isAdd = true
					}
				}
			}

			//第二步 剩余数据每天修改

			day := int(nowDate.Sub(firstExistDataTime).Hours() / float64(24))

			//第三步： 已经入库的数据处理
			for _, v := range existDataList {
				existDataMap[v.DataTime] = v
			}

			for k := day; k >= 0; k-- {
				needDay := nowDate.AddDate(0, 0, -k)
				needDayStr := needDay.Format(utils.FormatDate)
				tmpExistData, ok := existDataMap[needDayStr]
				if ok {
					if tmpLastValue, ok := fromDataMap[tmpExistData.DataTime]; ok { //来源指标当天的数据
						lastValue = tmpLastValue
						//lastValueStr = decimal.NewFromFloat(lastValue).String()
						lastValueStr = fmt.Sprintf("%.4f", lastValue)
					}
					if fromEdbInfo.LatestDate == tmpExistData.DataTime {
						latestValue = lastValue
					}
					//如果对应的值不匹配
					if tmpExistData.Value != lastValueStr {
						err = ModifyEdbDataById(source, tmpExistData.EdbDataId, lastValueStr)
						if err != nil {
							return
						}
					}
				} else {
					timestamp := needDay.UnixNano() / 1e6
					timestampStr := fmt.Sprintf("%d", timestamp)
					addSql += GetAddSql(edbInfoIdStr, edbCode, needDayStr, timestampStr, lastValueStr)
					if fromEdbInfo.LatestDate == needDayStr {
						latestValue = lastValue
					}
					isAdd = true
				}
			}
		} else {
			//如果没有来源指标数据，那么已经入库的计算指标数据需要全部删除
			tableName := GetEdbDataTableName(source)
			sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ?`, tableName)
			_, err = to.Raw(sql, edbInfoId).Exec()
			if err != nil {
				err = fmt.Errorf("删除所有的变频指标数据失败,Err:" + err.Error())
				return
			}

			//for _, v := range existDataList {
			//	removeDateList = append(removeDateList, v.DataTime)
			//}
		}
	} else {
		existMap := make(map[string]string)
		dataLen := len(dataList)

		for i := 0; i < dataLen; i++ {
			//当期
			currentItem := dataList[i]
			currentDate, _ := time.ParseInLocation(utils.FormatDate, currentItem.DataTime, time.Local)
			var day int
			var preItem *EdbInfoSearchData
			var preDate time.Time
			if i == 0 {
				day = int(time.Now().Sub(currentDate).Hours() / float64(24))
				preDate = time.Now()
			} else {
				j := i - 1
				if j < dataLen {
					preItem = dataList[j]
					preDate, _ = time.ParseInLocation(utils.FormatDate, preItem.DataTime, time.Local)
					day = int(preDate.Sub(currentDate).Hours() / float64(24))
					utils.FileLog.Info("preItem.DataTime:" + preItem.DataTime + ";currentItem.DataTime" + currentItem.DataTime)
				}
			}
			for k := 0; k <= day; k++ {
				needDay := preDate.AddDate(0, 0, -k)
				needDayStr := needDay.Format(utils.FormatDate)
				existKey := edbCode + needDayStr
				if _, ok := existMap[existKey]; !ok {
					timestamp := needDay.UnixNano() / 1e6
					timestampStr := fmt.Sprintf("%d", timestamp)
					valStr := decimal.NewFromFloat(currentItem.Value).String()
					addSql += GetAddSql(edbInfoIdStr, edbCode, needDayStr, timestampStr, valStr)
					if fromEdbInfo.LatestDate == needDayStr {
						latestValue = currentItem.Value
					}
					isAdd = true
				}
				existMap[existKey] = needDayStr
			}
			existKey := edbCode + currentItem.DataTime
			if _, ok := existMap[existKey]; !ok {
				currentDate, _ := time.ParseInLocation(utils.FormatDate, currentItem.DataTime, time.Local)
				timestamp := currentDate.UnixNano() / 1e6
				timestampStr := fmt.Sprintf("%d", timestamp)
				valStr := decimal.NewFromFloat(currentItem.Value).String()
				addSql += GetAddSql(edbInfoIdStr, edbCode, currentItem.DataTime, timestampStr, valStr)
				if fromEdbInfo.LatestDate == currentItem.DataTime {
					latestValue = currentItem.Value
				}
				isAdd = true
			}
			existMap[existKey] = currentItem.DataTime
		}
	}

	// 删除不需要的指标数据
	if len(removeDateList) > 0 {
		removeDateStr := strings.Join(removeDateList, `","`)
		removeDateStr = `"` + removeDateStr + `"`
		//如果拼接指标变更了，那么需要删除所有的指标数据
		tableName := GetEdbDataTableName(source)
		sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (%s) `, tableName, removeDateStr)

		_, err = to.Raw(sql, edbInfoId).Exec()
		if err != nil {
			err = fmt.Errorf("删除不存在的变频指标数据失败,Err:" + err.Error())
			return
		}
	}

	if isAdd {
		addSql = strings.TrimRight(addSql, ",")
		_, err = to.Raw(addSql).Exec()
	}
	return
}