eta_chart_lib/services/data/predict_edb_info_rule.go

package data

import (
	"encoding/json"
	"errors"
	"eta_gn/eta_chart_lib/models"
	"eta_gn/eta_chart_lib/models/data_manage"
	"eta_gn/eta_chart_lib/utils"
	"fmt"
	"github.com/nosixtools/solarlunar"
	"github.com/shopspring/decimal"
	"math"
	"strings"
	"time"
)

func GetChartPredictEdbInfoDataListByRule1(edbInfoId int, dataValue float64, dayList []time.Time, predictEdbInfoData []*models.EdbDataList, existMap map[string]float64) (newPredictEdbInfoData []*models.EdbDataList) {
	newPredictEdbInfoData = predictEdbInfoData
	predictEdbInfoData = make([]*models.EdbDataList, 0)
	for k, v := range dayList {
		newPredictEdbInfoData = append(newPredictEdbInfoData, &models.EdbDataList{
			EdbDataId:     edbInfoId + 10000000000 + k,
			EdbInfoId:     edbInfoId,
			DataTime:      v.Format(utils.FormatDate),
			Value:         dataValue,
			DataTimestamp: v.UnixNano() / 1e6,
		})
		existMap[v.Format(utils.FormatDate)] = dataValue
	}
	return
}

func GetChartPredictEdbInfoDataListByRuleTb(edbInfoId int, tbValue float64, dayList []time.Time, frequency string, realPredictEdbInfoData, predictEdbInfoData []*models.EdbDataList, existMap map[string]float64) (newPredictEdbInfoData []*models.EdbDataList, minValue, maxValue float64) {
	allDataList := make([]*models.EdbDataList, 0)
	allDataList = append(allDataList, realPredictEdbInfoData...)
	allDataList = append(allDataList, predictEdbInfoData...)
	newPredictEdbInfoData = predictEdbInfoData

	index := len(allDataList)
	predictEdbInfoData = make([]*models.EdbDataList, 0)
	for k, currentDate := range dayList {

		tmpData := &models.EdbDataList{
			EdbDataId: edbInfoId + 10000000000 + index + k,
			EdbInfoId: edbInfoId,
			DataTime:  currentDate.Format(utils.FormatDate),
			DataTimestamp: currentDate.UnixNano() / 1e6,
		}

		var val float64
		var calculateStatus bool //计算结果
		preDate := currentDate.AddDate(-1, 0, 0)
		preDateStr := preDate.Format(utils.FormatDate)
		if preValue, ok := existMap[preDateStr]; ok { //上一年同期找到
			val = TbzDiv(preValue, tbValue)
			calculateStatus = true
		} else {
			switch frequency {
			case "月度":
				nextDateDay := preDate
				preDateDay := preDate
				for i := 0; i <= 35; i++ {
					nextDateDayStr := nextDateDay.Format(utils.FormatDate)
					if preValue, ok := existMap[nextDateDayStr]; ok { //上一年同期->下一个月找到
						val = TbzDiv(preValue, tbValue)
						calculateStatus = true
						break
					} else {
						preDateDayStr := preDateDay.Format(utils.FormatDate)
						if preValue, ok := existMap[preDateDayStr]; ok { //上一年同期->上一个月找到
							val = TbzDiv(preValue, tbValue)
							calculateStatus = true
							break
						}
					}
					nextDateDay = nextDateDay.AddDate(0, 0, 1)
					preDateDay = preDateDay.AddDate(0, 0, -1)
				}

			case "季度", "年度":
				if preValue, ok := existMap[preDateStr]; ok { //上一年同期->下一个月找到
					val = TbzDiv(preValue, tbValue)
					calculateStatus = true
					break
				}
			default:
				nextDateDay := preDate
				preDateDay := preDate

				for i := 0; i < 35; i++ {
					nextDateDayStr := nextDateDay.Format(utils.FormatDate)
					if preValue, ok := existMap[nextDateDayStr]; ok { //上一年同期->下一个月找到
						val = TbzDiv(preValue, tbValue)
						calculateStatus = true
						break
					} else {
						preDateDayStr := preDateDay.Format(utils.FormatDate)
						if preValue, ok := existMap[preDateDayStr]; ok { //上一年同期->上一个月找到
							val = TbzDiv(preValue, tbValue)
							calculateStatus = true
							break
						} else {
						}
					}
					nextDateDay = nextDateDay.AddDate(0, 0, 1)
					preDateDay = preDateDay.AddDate(0, 0, -1)
				}
			}
		}

		if calculateStatus {
			tmpData.Value = val
			newPredictEdbInfoData = append(newPredictEdbInfoData, tmpData)
			allDataList = append(allDataList, tmpData)
			existMap[tmpData.DataTime] = val

			if val < minValue {
				minValue = val
			}
			if val > maxValue {
				maxValue = val
			}
		}
	}
	return
}

func TbzDiv(a, b float64) (result float64) {
	af := decimal.NewFromFloat(a)

	bf := decimal.NewFromFloat(b)

	cf := decimal.NewFromFloat(1)

	val := bf.Add(cf)

	result, _ = val.Mul(af).RoundCeil(4).Float64()
	return
}

func GetChartPredictEdbInfoDataListByRuleTc(edbInfoId int, tcValue float64, dayList []time.Time, frequency string, realPredictEdbInfoData, predictEdbInfoData []*models.EdbDataList, existMap map[string]float64) (newPredictEdbInfoData []*models.EdbDataList, minValue, maxValue float64) {
	allDataList := make([]*models.EdbDataList, 0)
	allDataList = append(allDataList, realPredictEdbInfoData...)
	allDataList = append(allDataList, predictEdbInfoData...)
	newPredictEdbInfoData = predictEdbInfoData

	index := len(allDataList)
	predictEdbInfoData = make([]*models.EdbDataList, 0)
	for k, currentDate := range dayList {

		tmpData := &models.EdbDataList{
			EdbDataId: edbInfoId + 10000000000 + index + k,
			EdbInfoId: edbInfoId,
			DataTime:  currentDate.Format(utils.FormatDate),
			DataTimestamp: currentDate.UnixNano() / 1e6,
		}

		var val float64
		var calculateStatus bool //计算结果
		preDate := currentDate.AddDate(-1, 0, 0)
		preDateStr := preDate.Format(utils.FormatDate)
		if preValue, ok := existMap[preDateStr]; ok { //上一年同期找到
			val = TczDiv(preValue, tcValue)
			calculateStatus = true
		} else {
			switch frequency {
			case "月度":
				nextDateDay := preDate
				preDateDay := preDate
				for i := 0; i <= 35; i++ {
					nextDateDayStr := nextDateDay.Format(utils.FormatDate)
					if preValue, ok := existMap[nextDateDayStr]; ok { //上一年同期->下一个月找到
						val = TczDiv(preValue, tcValue)
						calculateStatus = true
						break
					} else {
						preDateDayStr := preDateDay.Format(utils.FormatDate)
						if preValue, ok := existMap[preDateDayStr]; ok { //上一年同期->上一个月找到
							val = TczDiv(preValue, tcValue)
							calculateStatus = true
							break
						}
					}
					nextDateDay = nextDateDay.AddDate(0, 0, 1)
					preDateDay = preDateDay.AddDate(0, 0, -1)
				}

			case "季度", "年度":
				if preValue, ok := existMap[preDateStr]; ok { //上一年同期->下一个月找到
					val = TczDiv(preValue, tcValue)
					calculateStatus = true
					break
				}
			default:
				nextDateDay := preDate
				preDateDay := preDate

				for i := 0; i < 35; i++ {
					nextDateDayStr := nextDateDay.Format(utils.FormatDate)
					if preValue, ok := existMap[nextDateDayStr]; ok { //上一年同期->下一个月找到
						val = TczDiv(preValue, tcValue)
						calculateStatus = true
						break
					} else {
						preDateDayStr := preDateDay.Format(utils.FormatDate)
						if preValue, ok := existMap[preDateDayStr]; ok { //上一年同期->上一个月找到
							val = TczDiv(preValue, tcValue)
							calculateStatus = true
							break
						} else {
						}
					}
					nextDateDay = nextDateDay.AddDate(0, 0, 1)
					preDateDay = preDateDay.AddDate(0, 0, -1)
				}
			}
		}

		if calculateStatus {
			tmpData.Value = val
			newPredictEdbInfoData = append(newPredictEdbInfoData, tmpData)
			allDataList = append(allDataList, tmpData)
			existMap[tmpData.DataTime] = val

			if val < minValue {
				minValue = val
			}
			if val > maxValue {
				maxValue = val
			}
		}
	}
	return
}

func TczDiv(a, b float64) (result float64) {
	if b != 0 {
		af := decimal.NewFromFloat(a)

		bf := decimal.NewFromFloat(b)

		result, _ = af.Add(bf).RoundCeil(4).Float64()
	} else {
		result = 0
	}
	return
}

func GetChartPredictEdbInfoDataListByRuleHb(edbInfoId int, hbValue float64, dayList []time.Time, realPredictEdbInfoData, predictEdbInfoData []*models.EdbDataList, existMap map[string]float64) (newPredictEdbInfoData []*models.EdbDataList, minValue, maxValue float64) {
	allDataList := make([]*models.EdbDataList, 0)
	allDataList = append(allDataList, realPredictEdbInfoData...)
	allDataList = append(allDataList, predictEdbInfoData...)
	newPredictEdbInfoData = predictEdbInfoData

	index := len(allDataList)
	for k, currentDate := range dayList {
		tmpK := index + k - 1 //上1期的值

		val := HbzDiv(allDataList[tmpK].Value, hbValue)

		currentDateStr := currentDate.Format(utils.FormatDate)
		tmpData := &models.EdbDataList{
			EdbDataId:     edbInfoId + 10000000000 + index + k,
			EdbInfoId:     edbInfoId,
			DataTime:      currentDateStr,
			Value:         val,
			DataTimestamp: currentDate.UnixNano() / 1e6,
		}
		newPredictEdbInfoData = append(newPredictEdbInfoData, tmpData)
		allDataList = append(allDataList, tmpData)
		existMap[currentDateStr] = val

		if val < minValue {
			minValue = val
		}
		if val > maxValue {
			maxValue = val
		}
	}
	return
}

func HbzDiv(a, b float64) (result float64) {
	if b != 0 {
		af := decimal.NewFromFloat(a)

		bf := decimal.NewFromFloat(b)

		cf := decimal.NewFromFloat(1)

		val := bf.Add(cf)

		result, _ = val.Mul(af).RoundCeil(4).Float64()
	} else {
		result = 0
	}
	return
}

func GetChartPredictEdbInfoDataListByRuleHc(edbInfoId int, hcValue float64, dayList []time.Time, realPredictEdbInfoData, predictEdbInfoData []*models.EdbDataList, existMap map[string]float64) (newPredictEdbInfoData []*models.EdbDataList, minValue, maxValue float64) {
	allDataList := make([]*models.EdbDataList, 0)
	allDataList = append(allDataList, realPredictEdbInfoData...)
	allDataList = append(allDataList, predictEdbInfoData...)
	newPredictEdbInfoData = predictEdbInfoData

	index := len(allDataList)
	for k, currentDate := range dayList {
		tmpK := index + k - 1 //上1期的值

		val := HczDiv(allDataList[tmpK].Value, hcValue)

		currentDateStr := currentDate.Format(utils.FormatDate)
		tmpData := &models.EdbDataList{
			EdbDataId:     edbInfoId + 10000000000 + index + k,
			EdbInfoId:     edbInfoId,
			DataTime:      currentDateStr,
			Value:         val,
			DataTimestamp: currentDate.UnixNano() / 1e6,
		}
		newPredictEdbInfoData = append(newPredictEdbInfoData, tmpData)
		allDataList = append(allDataList, tmpData)
		existMap[currentDateStr] = val

		if val < minValue {
			minValue = val
		}
		if val > maxValue {
			maxValue = val
		}
	}
	return
}

func HczDiv(a, b float64) (result float64) {
	if b != 0 {
		af := decimal.NewFromFloat(a)

		bf := decimal.NewFromFloat(b)

		result, _ = af.Add(bf).RoundCeil(4).Float64()
	} else {
		result = 0
	}
	return
}

func GetChartPredictEdbInfoDataListByRuleNMoveMeanValue(edbInfoId int, nValue int, dayList []time.Time, realPredictEdbInfoData, predictEdbInfoData []*models.EdbDataList, existMap map[string]float64) (newPredictEdbInfoData []*models.EdbDataList, minValue, maxValue float64) {
	allDataList := make([]*models.EdbDataList, 0)
	allDataList = append(allDataList, realPredictEdbInfoData...)
	allDataList = append(allDataList, predictEdbInfoData...)
	newPredictEdbInfoData = predictEdbInfoData

	lenAllData := len(allDataList)
	if lenAllData < nValue || lenAllData <= 0 {
		return
	}
	if nValue <= 0 {
		return
	}
	decimalN := decimal.NewFromInt(int64(nValue))

	for k, currentDate := range dayList {
		tmpIndex := lenAllData + k - 1 //上1期的值

		tmpDecimalVal := decimal.NewFromFloat(allDataList[tmpIndex].Value)
		for tmpK := 2; tmpK <= nValue; tmpK++ {
			tmpIndex2 := tmpIndex - tmpK //上N期的值
			tmpDecimalVal2 := decimal.NewFromFloat(allDataList[tmpIndex2].Value)
			tmpDecimalVal = tmpDecimalVal.Add(tmpDecimalVal2)
		}

		val, _ := tmpDecimalVal.Div(decimalN).RoundCeil(4).Float64()

		currentDateStr := currentDate.Format(utils.FormatDate)
		tmpData := &models.EdbDataList{
			EdbDataId:     edbInfoId + 10000000000 + lenAllData + k,
			EdbInfoId:     edbInfoId,
			DataTime:      currentDateStr,
			Value:         val,
			DataTimestamp: currentDate.UnixNano() / 1e6,
		}
		newPredictEdbInfoData = append(newPredictEdbInfoData, tmpData)
		allDataList = append(allDataList, tmpData)
		existMap[currentDateStr] = val

		if val < minValue {
			minValue = val
		}
		if val > maxValue {
			maxValue = val
		}
	}
	return
}

func GetChartPredictEdbInfoDataListByRuleNLinearRegression(edbInfoId int, nValue int, dayList []time.Time, realPredictEdbInfoData, predictEdbInfoData []*models.EdbDataList, existMap map[string]float64) (newPredictEdbInfoData []*models.EdbDataList, minValue, maxValue float64) {
	allDataList := make([]*models.EdbDataList, 0)
	allDataList = append(allDataList, realPredictEdbInfoData...)
	allDataList = append(allDataList, predictEdbInfoData...)
	newPredictEdbInfoData = predictEdbInfoData

	lenAllData := len(allDataList)
	if lenAllData < nValue || lenAllData <= 0 {
		return
	}

	if nValue <= 1 {
		return
	}

	coordinateData := make([]Coordinate, 0)
	for tmpK := nValue; tmpK > 0; tmpK-- {
		tmpIndex2 := lenAllData - tmpK //上N期的值
		tmpCoordinate := Coordinate{
			X: float64(nValue - tmpK + 1),
			Y: allDataList[tmpIndex2].Value,
		}
		coordinateData = append(coordinateData, tmpCoordinate)
	}
	a, b := getLinearResult(coordinateData)

	for k, currentDate := range dayList {
		tmpK := nValue + k + 1

		aDecimal := decimal.NewFromFloat(a)
		xDecimal := decimal.NewFromInt(int64(tmpK))
		bDecimal := decimal.NewFromFloat(b)

		val, _ := aDecimal.Mul(xDecimal).Add(bDecimal).RoundCeil(4).Float64()

		currentDateStr := currentDate.Format(utils.FormatDate)
		tmpData := &models.EdbDataList{
			EdbDataId:     edbInfoId + 10000000000 + lenAllData + k,
			EdbInfoId:     edbInfoId,
			DataTime:      currentDateStr,
			Value:         val,
			DataTimestamp: currentDate.UnixNano() / 1e6,
		}
		newPredictEdbInfoData = append(newPredictEdbInfoData, tmpData)
		allDataList = append(allDataList, tmpData)
		existMap[currentDateStr] = val

		if val < minValue {
			minValue = val
		}
		if val > maxValue {
			maxValue = val
		}
	}
	return
}

type Series []Coordinate

type Coordinate struct {
	X, Y float64
}

func getLinearResult(s []Coordinate) (gradient, intercept float64) {
	if len(s) <= 1 {
		return
	}

	var sum [5]float64

	i := 0
	for ; i < len(s); i++ {
		sum[0] += s[i].X
		sum[1] += s[i].Y
		sum[2] += s[i].X * s[i].X
		sum[3] += s[i].X * s[i].Y
		sum[4] += s[i].Y * s[i].Y
	}

	f := float64(i)
	gradient = (f*sum[3] - sum[0]*sum[1]) / (f*sum[2] - sum[0]*sum[0])
	intercept = (sum[1] / f) - (gradient * sum[0] / f)


	return
}

func GetChartPredictEdbInfoDataListByRuleTrendsHC(edbInfoId, configId int, startDate, endDate time.Time, dayList []time.Time, realPredictEdbInfoData, predictEdbInfoData []*models.EdbDataList, existMap map[string]float64) (newPredictEdbInfoData []*models.EdbDataList, minValue, maxValue float64) {
	allDataList := make([]*models.EdbDataList, 0)
	allDataList = append(allDataList, realPredictEdbInfoData...)
	allDataList = append(allDataList, predictEdbInfoData...)
	newPredictEdbInfoData = predictEdbInfoData

	lenAllData := len(allDataList)
	if lenAllData <= 0 {
		return
	}

	hcDataMap := make(map[string]float64) //规则计算的环差值map

	tmpPredictEdbRuleDataList, err := data_manage.GetPredictEdbRuleDataList(edbInfoId, configId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
	if err != nil {
		return
	}
	for _, v := range tmpPredictEdbRuleDataList {
		hcDataMap[v.DataTime] = v.Value
	}
	for k, currentDate := range dayList {
		tmpLenAllDataList := len(allDataList)
		lastValue := allDataList[tmpLenAllDataList-1].Value

		currentDateStr := currentDate.Format(utils.FormatDate)
		hcVal, ok := hcDataMap[currentDateStr]
		if !ok {
			continue
		}
		lastValueDecimal := decimal.NewFromFloat(lastValue)
		hcValDecimal := decimal.NewFromFloat(hcVal)

		val, _ := lastValueDecimal.Add(hcValDecimal).RoundCeil(4).Float64()

		tmpData := &models.EdbDataList{
			EdbDataId:     edbInfoId + 10000000000 + lenAllData + k,
			EdbInfoId:     edbInfoId,
			DataTime:      currentDateStr,
			Value:         val,
			DataTimestamp: currentDate.UnixNano() / 1e6,
		}
		newPredictEdbInfoData = append(newPredictEdbInfoData, tmpData)
		allDataList = append(allDataList, tmpData)
		existMap[currentDateStr] = val

		if val < minValue {
			minValue = val
		}
		if val > maxValue {
			maxValue = val
		}
	}
	return
}

func GetChartPredictEdbInfoDataListByRuleFinalValueHc(edbInfoId int, finalValue float64, dayList []time.Time, realPredictEdbInfoData, predictEdbInfoData []*models.EdbDataList, existMap map[string]float64) (newPredictEdbInfoData []*models.EdbDataList, minValue, maxValue float64) {
	allDataList := make([]*models.EdbDataList, 0)
	allDataList = append(allDataList, realPredictEdbInfoData...)
	allDataList = append(allDataList, predictEdbInfoData...)
	newPredictEdbInfoData = predictEdbInfoData

	index := len(allDataList)
	lenDay := len(dayList)
	if lenDay <= 0 {
		return
	}

	var hcValue float64
	lastValueDeciamal := decimal.NewFromFloat(allDataList[index-1].Value)            // 实际数据的最后一个值
	finalValueDeciamal := decimal.NewFromFloat(finalValue)                           // 给定的终止数据
	dayDecimal := decimal.NewFromInt(int64(lenDay))                                  // 需要作为分母的期数
	hcValue, _ = finalValueDeciamal.Sub(lastValueDeciamal).Div(dayDecimal).Float64() // 计算出来的环差值

	predictEdbInfoData = make([]*models.EdbDataList, 0)
	lastK := lenDay - 1 // 最后的日期
	for k, currentDate := range dayList {
		tmpK := index + k - 1 //上1期的值

		var val float64
		if k == lastK { //如果是最后一天，那么就用最终值，否则就计算
			val = finalValue
		} else {
			val = HczDiv(allDataList[tmpK].Value, hcValue)
		}

		currentDateStr := currentDate.Format(utils.FormatDate)
		tmpData := &models.EdbDataList{
			EdbDataId:     edbInfoId + 10000000000 + index + k,
			EdbInfoId:     edbInfoId,
			DataTime:      currentDateStr,
			Value:         val,
			DataTimestamp: currentDate.UnixNano() / 1e6,
		}
		newPredictEdbInfoData = append(newPredictEdbInfoData, tmpData)
		allDataList = append(allDataList, tmpData)
		existMap[currentDateStr] = val

		if val < minValue {
			minValue = val
		}
		if val > maxValue {
			maxValue = val
		}
	}
	return
}

type SeasonConf struct {
	Calendar string `description:"公历、农历"`
	YearType int    `description:"选择方式，1：连续N年；2：指定年份"`
	NValue   int    `description:"连续N年"`
	YearList []int  `description:"指定年份列表"`
}

func GetChartPredictEdbInfoDataListByRuleSeason(edbInfoId int, yearsList []int, calendar string, dayList []time.Time, realPredictEdbInfoData, predictEdbInfoData []*models.EdbDataList, existMap map[string]float64) (newPredictEdbInfoData []*models.EdbDataList, minValue, maxValue float64, err error) {
	allDataList := make([]*models.EdbDataList, 0)
	allDataList = append(allDataList, realPredictEdbInfoData...)
	allDataList = append(allDataList, predictEdbInfoData...)
	newPredictEdbInfoData = predictEdbInfoData

	handleDataMap := make(map[string]float64)
	err = HandleDataByLinearRegression(allDataList, handleDataMap)
	if err != nil {
		return
	}

	moveDayMap := make(map[int]int, 0) // 每个年份的春节公历
	{
		if calendar == "公历" {
			for _, year := range yearsList {
				moveDayMap[year] = 0 //公历就不平移了
			}
		} else {
			currentDay := time.Now()
			if currentDay.Month() >= 11 { //如果大于等于11月份，那么用的是下一年的春节
				currentDay = currentDay.AddDate(1, 0, 0)
			}

			currentYear := currentDay.Year()
			currentYearCjnl := fmt.Sprintf("%d-01-01", currentYear)            //当年的春节农历
			currentYearCjgl := solarlunar.LunarToSolar(currentYearCjnl, false) //当年的春节公历
			currentYearCjglTime, tmpErr := time.ParseInLocation(utils.FormatDate, currentYearCjgl, time.Local)
			if tmpErr != nil {
				err = errors.New("当前春节公历日期转换失败:" + tmpErr.Error())
				return
			}

			for _, year := range yearsList {
				tmpYearCjnl := fmt.Sprintf("%d-01-01", year)               //指定年的春节农历
				tmpYearCjgl := solarlunar.LunarToSolar(tmpYearCjnl, false) //指定年的春节公历

				tmpYearCjglTime, tmpErr := time.ParseInLocation(utils.FormatDate, tmpYearCjgl, time.Local)
				if tmpErr != nil {
					err = errors.New(fmt.Sprintf("%d公历日期转换失败:%s", year, tmpErr.Error()))
					return
				}

				tmpCurrentYearCjglTime := currentYearCjglTime.AddDate(year-currentYear, 0, 0)
				moveDay := utils.GetTimeSubDay(tmpYearCjglTime, tmpCurrentYearCjglTime)
				moveDayMap[year] = moveDay //公历平移
			}
		}
	}

	index := len(allDataList)

	predictEdbInfoData = make([]*models.EdbDataList, 0)
	for k, currentDate := range dayList {
		if strings.Contains(currentDate.Format(utils.FormatDate), "02-29") {
			continue
		}
		tmpHistoryVal := decimal.NewFromFloat(0) //往期的差值总和
		tmpHistoryValNum := 0                    // 往期差值计算的数量

		tmpLenAllDataList := len(allDataList)
		tmpK := tmpLenAllDataList - 1    //上1期数据的下标
		lastDayData := allDataList[tmpK] // 上1期的数据
		lastDayStr := lastDayData.DataTime
		lastDayVal := lastDayData.Value
		lastDay, tmpErr := time.ParseInLocation(utils.FormatDate, lastDayStr, time.Local)
		if tmpErr != nil {
			err = errors.New("获取上期日期转换失败:" + tmpErr.Error())
		}
		for _, year := range yearsList {
			moveDay := moveDayMap[year] //需要移动的天数
			var tmpHistoryCurrentVal, tmpHistoryLastVal float64
			var isFindHistoryCurrent, isFindHistoryLast bool //是否找到前几年的数据

			tmpHistoryCurrentDate := currentDate.AddDate(year-currentDate.Year(), 0, -moveDay)
			for i := 0; i <= 35; i++ { // 前后35天找数据，找到最近的值，先向后面找，再往前面找
				tmpDate := tmpHistoryCurrentDate.AddDate(0, 0, i)
				if val, ok := handleDataMap[tmpDate.Format(utils.FormatDate)]; ok {
					tmpHistoryCurrentVal = val
					isFindHistoryCurrent = true
					break
				} else {
					tmpDate := tmpHistoryCurrentDate.AddDate(0, 0, -i)
					if val, ok := handleDataMap[tmpDate.Format(utils.FormatDate)]; ok {
						tmpHistoryCurrentVal = val
						isFindHistoryCurrent = true
						break
					}
				}
			}

			tmpHistoryLastDate := lastDay.AddDate(year-lastDay.Year(), 0, -moveDay)
			for i := 0; i <= 35; i++ { // 前后35天找数据，找到最近的值，先向后面找，再往前面找
				tmpDate := tmpHistoryLastDate.AddDate(0, 0, i)
				if val, ok := handleDataMap[tmpDate.Format(utils.FormatDate)]; ok {
					tmpHistoryLastVal = val
					isFindHistoryLast = true
					break
				} else {
					tmpDate := tmpHistoryLastDate.AddDate(0, 0, -i)
					if val, ok := handleDataMap[tmpDate.Format(utils.FormatDate)]; ok {
						tmpHistoryLastVal = val
						isFindHistoryLast = true
						break
					}
				}
			}

			if isFindHistoryCurrent && isFindHistoryLast {
				af := decimal.NewFromFloat(tmpHistoryCurrentVal)
				bf := decimal.NewFromFloat(tmpHistoryLastVal)
				tmpHistoryVal = tmpHistoryVal.Add(af.Sub(bf))
				tmpHistoryValNum++
			}
		}

		if tmpHistoryValNum != len(yearsList) {
			continue
		}
		lastDayValDec := decimal.NewFromFloat(lastDayVal)
		val, _ := tmpHistoryVal.Div(decimal.NewFromInt(int64(tmpHistoryValNum))).Add(lastDayValDec).RoundCeil(4).Float64()

		currentDateStr := currentDate.Format(utils.FormatDate)
		tmpData := &models.EdbDataList{
			EdbDataId:     edbInfoId + 10000000000 + index + k,
			EdbInfoId:     edbInfoId,
			DataTime:      currentDateStr,
			Value:         val,
			DataTimestamp: currentDate.UnixNano() / 1e6,
		}
		newPredictEdbInfoData = append(newPredictEdbInfoData, tmpData)
		allDataList = append(allDataList, tmpData)
		existMap[currentDateStr] = val

		err = HandleDataByLinearRegression([]*models.EdbDataList{
			lastDayData, tmpData,
		}, handleDataMap)
		if err != nil {
			return
		}

		if val < minValue {
			minValue = val
		}
		if val > maxValue {
			maxValue = val
		}
	}
	return
}

type MoveAverageConf struct {
	Year   int `description:"指定年份"`
	NValue int `description:"N期的数据"`
}

func GetChartPredictEdbInfoDataListByRuleMoveAverageTb(edbInfoId int, nValue, year int, dayList []time.Time, realPredictEdbInfoData, predictEdbInfoData []*models.EdbDataList, existMap map[string]float64) (newPredictEdbInfoData []*models.EdbDataList, minValue, maxValue float64, err error) {
	allDataList := make([]*models.EdbDataList, 0)
	allDataList = append(allDataList, realPredictEdbInfoData...)
	allDataList = append(allDataList, predictEdbInfoData...)
	newPredictEdbInfoData = predictEdbInfoData

	lenAllData := len(allDataList)
	if lenAllData < nValue || lenAllData <= 0 {
		return
	}
	if nValue <= 0 {
		return
	}
	decimalN := decimal.NewFromInt(int64(nValue))

	if len(dayList) <= 0 {
		return
	}
	subYear := year - dayList[0].Year()
	for k, currentDate := range dayList {
		tmpLenAllDataList := len(allDataList)
		tmpIndex := tmpLenAllDataList - 1 //上1期数据的下标

		averageDateList := make([]string, 0) //计算平均数的日期

		tmpDecimalVal := decimal.NewFromFloat(allDataList[tmpIndex].Value)
		averageDateList = append(averageDateList, allDataList[tmpIndex].DataTime)
		for tmpK := 1; tmpK < nValue; tmpK++ {
			tmpIndex2 := tmpIndex - tmpK //上N期的值
			tmpDecimalVal2 := decimal.NewFromFloat(allDataList[tmpIndex2].Value)
			tmpDecimalVal = tmpDecimalVal.Add(tmpDecimalVal2)
			averageDateList = append(averageDateList, allDataList[tmpIndex2].DataTime)
		}
		tmpAverageVal := tmpDecimalVal.Div(decimalN)

		var tmpHistoryCurrentVal float64                 // 前几年当日的数据值
		var isFindHistoryCurrent, isFindHistoryLast bool //是否找到前几年的数据
		tmpHistoryDecimalVal := decimal.NewFromFloat(0)  //前几年N期数据总值

		{
			tmpHistoryValNum := 0
			{
				tmpHistoryCurrentDate := currentDate.AddDate(subYear, 0, 0)
				for i := 0; i <= 35; i++ { // 前后35天找数据，找到最近的值，先向后面找，再往前面找
					tmpDate := tmpHistoryCurrentDate.AddDate(0, 0, i)
					if val, ok := existMap[tmpDate.Format(utils.FormatDate)]; ok {
						tmpHistoryCurrentVal = val
						isFindHistoryCurrent = true
						break
					} else {
						tmpDate := tmpHistoryCurrentDate.AddDate(0, 0, -i)
						if val, ok := existMap[tmpDate.Format(utils.FormatDate)]; ok {
							tmpHistoryCurrentVal = val
							isFindHistoryCurrent = true
							break
						}
					}
				}
			}

			for _, averageDate := range averageDateList {
				lastDay, tmpErr := time.ParseInLocation(utils.FormatDate, averageDate, time.Local)
				if tmpErr != nil {
					err = tmpErr
					return
				}
				tmpHistoryLastDate := lastDay.AddDate(subYear, 0, 0)
				for i := 0; i <= 35; i++ { // 前后35天找数据，找到最近的值，先向后面找，再往前面找
					tmpDate := tmpHistoryLastDate.AddDate(0, 0, i)
					if val, ok := existMap[tmpDate.Format(utils.FormatDate)]; ok {
						tmpDecimalVal2 := decimal.NewFromFloat(val)
						tmpHistoryDecimalVal = tmpHistoryDecimalVal.Add(tmpDecimalVal2)
						tmpHistoryValNum++
						break
					} else {
						tmpDate := tmpHistoryLastDate.AddDate(0, 0, -i)
						if val, ok := existMap[tmpDate.Format(utils.FormatDate)]; ok {
							tmpDecimalVal2 := decimal.NewFromFloat(val)
							tmpHistoryDecimalVal = tmpHistoryDecimalVal.Add(tmpDecimalVal2)
							tmpHistoryValNum++
							break
						}
					}
				}
			}

			if tmpHistoryValNum == nValue {
				isFindHistoryLast = true
			}
		}

		if !isFindHistoryLast || !isFindHistoryCurrent {
			continue
		}

		tmpHistoryAverageVal := tmpHistoryDecimalVal.Div(decimalN)
		tbVal := tmpAverageVal.Div(tmpHistoryAverageVal)

		val, _ := decimal.NewFromFloat(tmpHistoryCurrentVal).Mul(tbVal).RoundCeil(4).Float64()

		currentDateStr := currentDate.Format(utils.FormatDate)
		tmpData := &models.EdbDataList{
			EdbDataId:     edbInfoId + 10000000000 + lenAllData + k,
			EdbInfoId:     edbInfoId,
			DataTime:      currentDateStr,
			Value:         val,
			DataTimestamp: currentDate.UnixNano() / 1e6,
		}
		newPredictEdbInfoData = append(newPredictEdbInfoData, tmpData)
		allDataList = append(allDataList, tmpData)
		existMap[currentDateStr] = val

		if val < minValue {
			minValue = val
		}
		if val > maxValue {
			maxValue = val
		}
	}
	return
}

func GetChartPredictEdbInfoDataListByRuleTbzscz(edbInfoId int, tbEndValue float64, dayList []time.Time, frequency string, realPredictEdbInfoData, predictEdbInfoData []*models.EdbDataList, existMap map[string]float64) (newPredictEdbInfoData []*models.EdbDataList, minValue, maxValue float64) {
	allDataList := make([]*models.EdbDataList, 0)
	allDataList = append(allDataList, realPredictEdbInfoData...)
	allDataList = append(allDataList, predictEdbInfoData...)
	newPredictEdbInfoData = predictEdbInfoData

	index := len(allDataList)

	if index <= 0 {
		return
	}
	lastData := allDataList[index-1]
	lastDayTime, _ := time.ParseInLocation(utils.FormatDate, lastData.DataTime, time.Local)

	var lastTb decimal.Decimal // 计算最新数据与上一期的数据同比值
	{
		preDate := lastDayTime.AddDate(-1, 0, 0)
		preDateStr := preDate.Format(utils.FormatDate)
		if preValue, ok := existMap[preDateStr]; ok { //上一年同期找到
			lastTb = (decimal.NewFromFloat(lastData.Value)).Sub(decimal.NewFromFloat(preValue)).Div(decimal.NewFromFloat(preValue))
		} else {
			switch frequency {
			case "月度":
				nextDateDay := preDate
				preDateDay := preDate
				for i := 0; i <= 35; i++ {
					nextDateDayStr := nextDateDay.Format(utils.FormatDate)
					if preValue, ok := existMap[nextDateDayStr]; ok { //上一年同期->下一个月找到
						lastTb = (decimal.NewFromFloat(lastData.Value)).Sub(decimal.NewFromFloat(preValue)).Div(decimal.NewFromFloat(preValue))
						break
					} else {
						preDateDayStr := preDateDay.Format(utils.FormatDate)
						if preValue, ok := existMap[preDateDayStr]; ok { //上一年同期->上一个月找到
							lastTb = (decimal.NewFromFloat(lastData.Value)).Sub(decimal.NewFromFloat(preValue)).Div(decimal.NewFromFloat(preValue))
							break
						}
					}
					nextDateDay = nextDateDay.AddDate(0, 0, 1)
					preDateDay = preDateDay.AddDate(0, 0, -1)
				}

			case "季度", "年度":
				if preValue, ok := existMap[preDateStr]; ok { //上一年同期->下一个月找到
					lastTb = (decimal.NewFromFloat(lastData.Value)).Sub(decimal.NewFromFloat(preValue)).Div(decimal.NewFromFloat(preValue))
					break
				}
			default:
				nextDateDay := preDate
				preDateDay := preDate

				for i := 0; i < 35; i++ {
					nextDateDayStr := nextDateDay.Format(utils.FormatDate)
					if preValue, ok := existMap[nextDateDayStr]; ok { //上一年同期->下一个月找到
						lastTb = (decimal.NewFromFloat(lastData.Value)).Sub(decimal.NewFromFloat(preValue)).Div(decimal.NewFromFloat(preValue))
						break
					} else {
						preDateDayStr := preDateDay.Format(utils.FormatDate)
						if preValue, ok := existMap[preDateDayStr]; ok { //上一年同期->上一个月找到
							lastTb = (decimal.NewFromFloat(lastData.Value)).Sub(decimal.NewFromFloat(preValue)).Div(decimal.NewFromFloat(preValue))
							break
						} else {
						}
					}
					nextDateDay = nextDateDay.AddDate(0, 0, 1)
					preDateDay = preDateDay.AddDate(0, 0, -1)
				}
			}
		}
	}

	lenDay := len(dayList)
	tbEndValueDecimal := decimal.NewFromFloat(tbEndValue)
	avgTbVal := tbEndValueDecimal.Sub(lastTb).Div(decimal.NewFromInt(int64(lenDay)))

	predictEdbInfoData = make([]*models.EdbDataList, 0)
	for k, currentDate := range dayList {
		var tbValue decimal.Decimal
		if k == lenDay-1 { // 如果是最后的日期了，那么就用终值去计算
			tbValue = tbEndValueDecimal.Add(decimal.NewFromInt(1))
		} else { // 最近数据的同比值 + （平均增值乘以当前期数）
			tbValue = lastTb.Add(avgTbVal.Mul(decimal.NewFromInt(int64(k + 1)))).Add(decimal.NewFromInt(1))
		}
		tmpData := &models.EdbDataList{
			EdbDataId: edbInfoId + 100000 + index + k,
			EdbInfoId: edbInfoId,
			DataTime:  currentDate.Format(utils.FormatDate),
			DataTimestamp: currentDate.UnixNano() / 1e6,
		}

		var val float64
		var calculateStatus bool //计算结果
		preDate := currentDate.AddDate(-1, 0, 0)
		preDateStr := preDate.Format(utils.FormatDate)
		if preValue, ok := existMap[preDateStr]; ok { //上一年同期找到
			val, _ = decimal.NewFromFloat(preValue).Mul(tbValue).RoundCeil(4).Float64()
			calculateStatus = true
		} else {
			switch frequency {
			case "月度":
				nextDateDay := preDate
				preDateDay := preDate
				for i := 0; i <= 35; i++ {
					nextDateDayStr := nextDateDay.Format(utils.FormatDate)
					if preValue, ok := existMap[nextDateDayStr]; ok { //上一年同期->下一个月找到
						val, _ = decimal.NewFromFloat(preValue).Mul(tbValue).RoundCeil(4).Float64()
						calculateStatus = true
						break
					} else {
						preDateDayStr := preDateDay.Format(utils.FormatDate)
						if preValue, ok := existMap[preDateDayStr]; ok { //上一年同期->上一个月找到
							val, _ = decimal.NewFromFloat(preValue).Mul(tbValue).RoundCeil(4).Float64()
							calculateStatus = true
							break
						}
					}
					nextDateDay = nextDateDay.AddDate(0, 0, 1)
					preDateDay = preDateDay.AddDate(0, 0, -1)
				}

			case "季度", "年度":
				if preValue, ok := existMap[preDateStr]; ok { //上一年同期->下一个月找到
					val, _ = decimal.NewFromFloat(preValue).Mul(tbValue).RoundCeil(4).Float64()
					calculateStatus = true
					break
				}
			default:
				nextDateDay := preDate
				preDateDay := preDate

				for i := 0; i < 35; i++ {
					nextDateDayStr := nextDateDay.Format(utils.FormatDate)
					if preValue, ok := existMap[nextDateDayStr]; ok { //上一年同期->下一个月找到
						val, _ = decimal.NewFromFloat(preValue).Mul(tbValue).RoundCeil(4).Float64()
						calculateStatus = true
						break
					} else {
						preDateDayStr := preDateDay.Format(utils.FormatDate)
						if preValue, ok := existMap[preDateDayStr]; ok { //上一年同期->上一个月找到
							val, _ = decimal.NewFromFloat(preValue).Mul(tbValue).RoundCeil(4).Float64()
							calculateStatus = true
							break
						} else {
						}
					}
					nextDateDay = nextDateDay.AddDate(0, 0, 1)
					preDateDay = preDateDay.AddDate(0, 0, -1)
				}
			}
		}

		if calculateStatus {
			tmpData.Value = val
			newPredictEdbInfoData = append(newPredictEdbInfoData, tmpData)
			allDataList = append(allDataList, tmpData)
			existMap[tmpData.DataTime] = val

			if val < minValue {
				minValue = val
			}
			if val > maxValue {
				maxValue = val
			}
		}
	}
	return
}

type RuleLineNhConf struct {
	StartDate string `description:"开始日期"`
	EndDate   string `description:"结束日期"`
	MoveDay   int    `description:"移动天数"`
	EdbInfoId int    `description:"指标id"`
}

func GetChartPredictEdbInfoDataListByRuleLineNh(edbInfoId int, dayList []time.Time, realPredictEdbInfoData, predictEdbInfoData []*models.EdbDataList, newNhccDataMap, existMap map[string]float64) (newPredictEdbInfoData []*models.EdbDataList, minValue, maxValue float64, err error) {
	allDataList := make([]*models.EdbDataList, 0)
	allDataList = append(allDataList, realPredictEdbInfoData...)
	allDataList = append(allDataList, predictEdbInfoData...)
	newPredictEdbInfoData = predictEdbInfoData

	lenAllData := len(allDataList)
	if lenAllData <= 0 {
		return
	}

	for k, currentDate := range dayList {
		currentDateStr := currentDate.Format(utils.FormatDate)
		val, ok := newNhccDataMap[currentDateStr]
		if !ok {
			continue
		}
		tmpData := &models.EdbDataList{
			EdbDataId:     edbInfoId + 100000 + lenAllData + k,
			EdbInfoId:     edbInfoId,
			DataTime:      currentDateStr,
			Value:         val,
			DataTimestamp: currentDate.UnixNano() / 1e6,
		}
		newPredictEdbInfoData = append(newPredictEdbInfoData, tmpData)
		allDataList = append(allDataList, tmpData)
		existMap[currentDateStr] = val

		if val < minValue {
			minValue = val
		}
		if val > maxValue {
			maxValue = val
		}
	}
	return
}

func getCalculateNhccData(secondDataList []*models.EdbDataList, ruleConf RuleLineNhConf) (newBDataMap map[string]float64, err error) {
	firstEdbInfoId := ruleConf.EdbInfoId
	moveDay := ruleConf.MoveDay
	startDate, _ := time.ParseInLocation(utils.FormatDate, ruleConf.StartDate, time.Local)
	endDate, _ := time.ParseInLocation(utils.FormatDate, ruleConf.EndDate, time.Local)

	edbInfo, err := data_manage.GetEdbInfoById(firstEdbInfoId)
	if err != nil {
		return
	}

	aDataList := make([]models.EdbDataList, 0)
	aDataMap := make(map[string]float64)
	{
		var firstDataList []*models.EdbDataList
		switch edbInfo.EdbInfoType {
		case 0:
			firstDataList, err = models.GetEdbDataList(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbInfoId, ``, ``)
		case 1:
			_, firstDataList, _, _, err, _ = GetPredictDataListByPredictEdbInfoId(edbInfo.EdbInfoId, ``, ``, false)
		default:
			err = errors.New(fmt.Sprint("获取失败,指标类型异常", edbInfo.EdbInfoType))
		}
		if err != nil {
			return
		}
		aDataList, aDataMap = handleNhccData(firstDataList, moveDay)
	}

	bDataList := make([]models.EdbDataList, 0)
	bDataMap := make(map[string]float64)
	{
		bDataList, bDataMap = handleNhccData(secondDataList, 0)
	}

	if len(aDataList) <= 0 {
		err = errors.New("指标A没有数据")
		return
	}
	if len(bDataList) <= 0 {
		err = errors.New("指标B没有数据")
		return
	}
	{
		endAData := aDataList[len(aDataList)-1]
		tmpEndDate, tmpErr := time.ParseInLocation(utils.FormatDate, endAData.DataTime, time.Local)
		if tmpErr != nil {
			err = tmpErr
			return
		}
		if tmpEndDate.Before(endDate) {
			endDate = tmpEndDate
		}
		endBData := bDataList[len(bDataList)-1]
		tmpEndDate, tmpErr = time.ParseInLocation(utils.FormatDate, endBData.DataTime, time.Local)
		if tmpErr != nil {
			err = tmpErr
			return
		}
		if tmpEndDate.Before(endDate) {
			endDate = tmpEndDate
		}
	}

	var a, b float64
	{
		coordinateData := make([]utils.Coordinate, 0)
		for i := startDate; i.Before(endDate) || i.Equal(endDate); i = i.AddDate(0, 0, 1) {
			dateStr := i.Format(utils.FormatDate)
			xValue, ok := aDataMap[dateStr]
			if !ok {
				err = errors.New("指标A日期：" + dateStr + "数据异常，导致计算线性方程公式失败")
				return
			}
			yValue, ok := bDataMap[dateStr]
			if !ok {
				err = errors.New("指标B日期：" + dateStr + "数据异常，导致计算线性方程公式失败")
				return
			}
			tmpCoordinate := utils.Coordinate{
				X: xValue,
				Y: yValue,
			}
			coordinateData = append(coordinateData, tmpCoordinate)
		}
		a, b = utils.GetLinearResult(coordinateData)
	}

	if math.IsNaN(a) || math.IsNaN(b) {
		err = errors.New("线性方程公式生成失败")
		return
	}

	newBDataMap = make(map[string]float64)
	{
		aDecimal := decimal.NewFromFloat(a)
		bDecimal := decimal.NewFromFloat(b)
		for _, aData := range aDataList {
			xDecimal := decimal.NewFromFloat(aData.Value)
			val, _ := aDecimal.Mul(xDecimal).Add(bDecimal).RoundCeil(4).Float64()
			newBDataMap[aData.DataTime] = val
		}

	}
	return
}

func handleNhccData(dataList []*models.EdbDataList, moveDay int) (newDataList []models.EdbDataList, dateDataMap map[string]float64) {
	dateMap := make(map[time.Time]float64)
	var minDate, maxDate time.Time
	dateDataMap = make(map[string]float64)

	for _, v := range dataList {
		currDate, _ := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
		if minDate.IsZero() || currDate.Before(minDate) {
			minDate = currDate
		}
		if maxDate.IsZero() || currDate.After(maxDate) {
			maxDate = currDate
		}
		dateMap[currDate] = v.Value
	}

	newDateMap := make(map[time.Time]float64)
	for currDate, value := range dateMap {
		newDate := currDate.AddDate(0, 0, moveDay)
		newDateMap[newDate] = value
	}
	minDate = minDate.AddDate(0, 0, moveDay)
	maxDate = maxDate.AddDate(0, 0, moveDay)

	dayNum := utils.GetTimeSubDay(minDate, maxDate)

	for i := 0; i <= dayNum; i++ {
		currDate := minDate.AddDate(0, 0, i)
		tmpValue, ok := newDateMap[currDate]
		if !ok {
			if len(newDataList) <= 0 {
				continue
			}
			tmpValue = newDataList[len(newDataList)-1].Value
		}
		tmpData := models.EdbDataList{
			DataTime: currDate.Format(utils.FormatDate),
			Value:    tmpValue,
		}
		dateDataMap[tmpData.DataTime] = tmpData.Value
		newDataList = append(newDataList, tmpData)
	}

	return
}

func GetChartPredictEdbInfoDataListByRuleNAnnualAverage(edbInfoId int, configValue string, dayList []time.Time, realPredictEdbInfoData, predictEdbInfoData []*models.EdbDataList, existMap map[string]float64) (newPredictEdbInfoData []*models.EdbDataList, minValue, maxValue float64, err error) {
	yearList, _, err := getYearListBySeasonConf(configValue)
	if err != nil {
		return
	}

	allDataList := make([]*models.EdbDataList, 0)
	allDataList = append(allDataList, realPredictEdbInfoData...)
	allDataList = append(allDataList, predictEdbInfoData...)
	newPredictEdbInfoData = predictEdbInfoData

	handleDataMap := make(map[string]float64)
	err = HandleDataByLinearRegression(allDataList, handleDataMap)
	if err != nil {
		return
	}

	index := len(allDataList)
	predictEdbInfoData = make([]*models.EdbDataList, 0)
	for k, currentDate := range dayList {
		if strings.Contains(currentDate.Format(utils.FormatDate), "02-29") {
			continue
		}
		tmpK := len(allDataList) - 1     //上1期数据的下标
		lastDayData := allDataList[tmpK] // 上1期的数据

		tmpHistoryVal := decimal.NewFromFloat(0) //往期的差值总和
		tmpHistoryValNum := 0                    // 往期差值计算的数量
		for _, year := range yearList {
			tmpHistoryCurrentDate := currentDate.AddDate(year-currentDate.Year(), 0, 0)
			if val, ok := handleDataMap[tmpHistoryCurrentDate.Format(utils.FormatDate)]; ok {
				tmpHistoryVal = tmpHistoryVal.Add(decimal.NewFromFloat(val))
				tmpHistoryValNum++
			}
		}

		if tmpHistoryValNum != len(yearList) {
			continue
		}
		val, _ := tmpHistoryVal.Div(decimal.NewFromInt(int64(tmpHistoryValNum))).RoundCeil(4).Float64()

		currentDateStr := currentDate.Format(utils.FormatDate)
		tmpData := &models.EdbDataList{
			EdbDataId:     edbInfoId + 100000 + index + k,
			EdbInfoId:     edbInfoId,
			DataTime:      currentDateStr,
			Value:         val,
			DataTimestamp: currentDate.UnixNano() / 1e6,
		}
		newPredictEdbInfoData = append(newPredictEdbInfoData, tmpData)
		allDataList = append(allDataList, tmpData)
		existMap[currentDateStr] = val

		err = HandleDataByLinearRegression([]*models.EdbDataList{
			lastDayData, tmpData,
		}, handleDataMap)
		if err != nil {
			return
		}

		if val < minValue {
			minValue = val
		}
		if val > maxValue {
			maxValue = val
		}
	}
	return
}

type AnnualValueInversionConf struct {
	Value float64 `description:"年度值"`
	Type  int     `description:"分配方式，1：均值法；2：同比法"`
	Year  int     `description:"同比年份"`
}

func GetChartPredictEdbInfoDataListByRuleAnnualValueInversion(edbInfoId int, configValue string, dayList []time.Time, frequency string, realPredictEdbInfoData, predictEdbInfoData []*models.EdbDataList, existMap map[string]float64) (newPredictEdbInfoData []*models.EdbDataList, minValue, maxValue float64, err error) {
	if frequency == "年度" {
		err = errors.New("当前指标频度是年度，不允许配置年度值倒推")
		return
	}

	var annualValueInversionConf AnnualValueInversionConf
	err = json.Unmarshal([]byte(configValue), &annualValueInversionConf)
	if err != nil {
		err = errors.New("年度值倒推配置信息异常:" + err.Error())
		return
	}

	allDataList := make([]*models.EdbDataList, 0)
	allDataList = append(allDataList, realPredictEdbInfoData...)
	allDataList = append(allDataList, predictEdbInfoData...)
	newPredictEdbInfoData = predictEdbInfoData
	index := len(allDataList)

	yearValueConfig := annualValueInversionConf.Value

	currDayTime, err := time.ParseInLocation(utils.FormatDate, allDataList[index-1].DataTime, time.Local)
	if err != nil {
		return
	}
	lastDayTime := dayList[len(dayList)-1]
	if currDayTime.Year() != lastDayTime.Year() {
		err = errors.New("年度值倒推不支持跨年预测")
		return
	}

	if annualValueInversionConf.Type == 1 {

		currYearN := 0
		var currYearVal float64

		{
			if frequency != "周度" {
				for _, v := range allDataList {
					currTime, tmpErr := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
					if tmpErr != nil {
						err = tmpErr
						return
					}
					if currTime.Year() != currDayTime.Year() {
						continue
					}
					currYearN++
					currYearVal = currYearVal + v.Value
				}
			} else {
				tmpDataList := make([]*models.EdbDataList, 0)
				var lastData *models.EdbDataList
				isFirst := true
				for _, v := range allDataList {
					currTime, tmpErr := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
					if tmpErr != nil {
						err = tmpErr
						return
					}
					if currTime.Year() != currDayTime.Year() {
						lastData = v
						continue
					}

					if isFirst {
						tmpDataList = append(tmpDataList, lastData)
					}
					isFirst = false
					tmpDataList = append(tmpDataList, v)
					currYearN++
				}

				tmpHandleDataMap := make(map[string]float64)
				err = HandleDataByLinearRegression(tmpDataList, tmpHandleDataMap)
				if err != nil {
					return
				}

				for tmpDate, val := range tmpHandleDataMap {
					tmpDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, tmpDate, time.Local)
					if tmpErr != nil {
						err = tmpErr
						return
					}
					if tmpDateTime.Year() != currDayTime.Year() {
						continue
					}
					currYearVal = currYearVal + val
				}

				currYearVal = currYearVal / 7
			}
		}

		var averageVal float64
		switch frequency {
		case "半年度":
			averageVal, _ = (decimal.NewFromFloat(yearValueConfig).Sub(decimal.NewFromFloat(currYearVal))).Div(decimal.NewFromInt(int64(2 - currYearN))).Float64()
		case "季度":
			averageVal, _ = (decimal.NewFromFloat(yearValueConfig).Sub(decimal.NewFromFloat(currYearVal))).Div(decimal.NewFromInt(int64(4 - currYearN))).Float64()
		case "月度":
			averageVal, _ = (decimal.NewFromFloat(yearValueConfig).Sub(decimal.NewFromFloat(currYearVal))).Div(decimal.NewFromInt(int64(12 - currYearN))).Float64()
		case "旬度":
			averageVal, _ = (decimal.NewFromFloat(yearValueConfig).Sub(decimal.NewFromFloat(currYearVal))).Div(decimal.NewFromInt(int64(36 - currYearN))).Float64()
		case "周度", "日度":

			yearFirstDay := time.Date(currDayTime.Year(), 1, 1, 0, 0, 0, 0, time.Local)
			subDay := utils.GetTimeSubDay(yearFirstDay, currDayTime) + 1

			yearLastDay := time.Date(currDayTime.Year(), 12, 31, 0, 0, 0, 0, time.Local)
			subDay2 := utils.GetTimeSubDay(yearFirstDay, yearLastDay) + 1

			surplusN := decimal.NewFromInt(int64(subDay2 - subDay)).Div(decimal.NewFromInt(int64(subDay))).Mul(decimal.NewFromInt(int64(currYearN)))
			balance := decimal.NewFromFloat(annualValueInversionConf.Value).Sub(decimal.NewFromFloat(currYearVal))
			averageVal, _ = balance.Div(surplusN).Round(4).Float64()

		}

		averageVal, _ = decimal.NewFromFloat(averageVal).Round(4).Float64()

		for k, currentDate := range dayList {
			currentDateStr := currentDate.Format(utils.FormatDate)
			tmpData := &models.EdbDataList{
				EdbDataId:     edbInfoId + 100000 + index + k,
				EdbInfoId:     edbInfoId,
				DataTime:      currentDateStr,
				Value:         averageVal,
				DataTimestamp: currentDate.UnixNano() / 1e6,
			}
			newPredictEdbInfoData = append(newPredictEdbInfoData, tmpData)
			allDataList = append(allDataList, tmpData)
			existMap[currentDateStr] = averageVal
		}

		if averageVal < minValue {
			minValue = averageVal
		}
		if averageVal > maxValue {
			maxValue = averageVal
		}

		return
	}


	dateTotalMap := make(map[time.Time]float64)
	yearTotalMap := make(map[int]float64)
	for _, v := range allDataList {
		currTime, tmpErr := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
		if tmpErr != nil {
			err = tmpErr
			return
		}
		yearVal := yearTotalMap[currTime.Year()]
		yearVal = yearVal + v.Value
		yearTotalMap[currTime.Year()] = yearVal
		dateTotalMap[currTime] = yearVal
	}

	for k, currentDate := range dayList {
		currYearBalance := yearValueConfig - yearTotalMap[currentDate.Year()] // 当年的余额

		prevDateStr := allDataList[len(allDataList)-1].DataTime
		prevDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, prevDateStr, time.Local)
		if tmpErr != nil {
			err = tmpErr
			return
		}

		lastYear := annualValueInversionConf.Year + (currentDate.Year() - currDayTime.Year())

		var lastPrevDateTime, lastDateTime time.Time

		switch frequency {
		case "半年度", "季度":
			lastDateTime = time.Date(lastYear, currentDate.Month(), currentDate.Day(), 0, 0, 0, 0, currentDate.Location())
			lastPrevDateTime = time.Date(lastYear, prevDateTime.Month(), prevDateTime.Day(), 0, 0, 0, 0, prevDateTime.Location())
		case "月度":
			lastDateTime = time.Date(lastYear, currentDate.Month()+1, 1, 0, 0, 0, 0, currentDate.Location()).AddDate(0, 0, -1)
			lastPrevDateTime = time.Date(lastYear, prevDateTime.Month()+1, 1, 0, 0, 0, 0, prevDateTime.Location()).AddDate(0, 0, -1)
		case "旬度":
			if prevDateTime.Day() == 10 || prevDateTime.Day() == 20 {
				lastDateTime = time.Date(lastYear, currentDate.Month(), currentDate.Day(), 0, 0, 0, 0, currentDate.Location())
				lastPrevDateTime = time.Date(lastYear, prevDateTime.Month(), prevDateTime.Day(), 0, 0, 0, 0, prevDateTime.Location())
			} else {
				lastDateTime = time.Date(lastYear, currentDate.Month()+1, 1, 0, 0, 0, 0, currentDate.Location()).AddDate(0, 0, -1)
				lastPrevDateTime = time.Date(lastYear, prevDateTime.Month()+1, 1, 0, 0, 0, 0, prevDateTime.Location()).AddDate(0, 0, -1)
			}
		case "周度", "日度":
			lastDateTime = time.Date(lastYear, currentDate.Month(), currentDate.Day(), 0, 0, 0, 0, currentDate.Location())
			lastPrevDateTime = time.Date(lastYear, prevDateTime.Month(), prevDateTime.Day(), 0, 0, 0, 0, prevDateTime.Location())
		}

		var dateTotal float64

		dateTotal, ok := dateTotalMap[lastPrevDateTime]
		if !ok { //如果没有找到这个日期，那么就往前面找，一直到找到这个累计值，或者找完这一年
			yearFirstDayTime := time.Date(lastPrevDateTime.Year(), 1, 1, 0, 0, 0, 0, lastDateTime.Location())
			for tmpDateTime := lastPrevDateTime.AddDate(0, 0, -1); tmpDateTime.After(yearFirstDayTime) || tmpDateTime.Equal(yearFirstDayTime); tmpDateTime = tmpDateTime.AddDate(0, 0, -1) {
				dateTotal, ok = dateTotalMap[tmpDateTime]
				if ok {
					break
				}
			}
		}

		lastYearDateBalance := yearTotalMap[lastPrevDateTime.Year()] - dateTotal
		if lastYearDateBalance == 0 {
			continue
		}

		tbVal := decimal.NewFromFloat(currYearBalance).Div(decimal.NewFromFloat(lastYearDateBalance))

		if lastDateVal, ok := existMap[lastDateTime.Format(utils.FormatDate)]; ok {
			tmpVal, _ := decimal.NewFromFloat(lastDateVal).Mul(tbVal).Round(4).Float64()
			currentDateStr := currentDate.Format(utils.FormatDate)
			tmpData := &models.EdbDataList{
				EdbDataId:     edbInfoId + 100000 + index + k,
				EdbInfoId:     edbInfoId,
				DataTime:      currentDateStr,
				Value:         tmpVal,
				DataTimestamp: currentDate.UnixNano() / 1e6,
			}
			newPredictEdbInfoData = append(newPredictEdbInfoData, tmpData)
			allDataList = append(allDataList, tmpData)
			existMap[currentDateStr] = tmpVal

			yearVal := yearTotalMap[currentDate.Year()]
			yearVal = yearVal + tmpVal
			yearTotalMap[currentDate.Year()] = yearVal
			dateTotalMap[currentDate] = yearVal

			if tmpVal < minValue {
				minValue = tmpVal
			}
			if tmpVal > maxValue {
				maxValue = tmpVal
			}
		}
	}

	return
}

func getYearListBySeasonConf(configValue string) (yearList []int, seasonConf SeasonConf, err error) {
	tmpErr := json.Unmarshal([]byte(configValue), &seasonConf)
	if tmpErr != nil {
		err = errors.New("年份配置信息异常:" + tmpErr.Error())
		return
	}
	if seasonConf.YearType == 1 {
		if seasonConf.NValue < 1 {
			err = errors.New("连续N年不允许小于1")
			return
		}

		currYear := time.Now().Year()
		for i := 0; i < seasonConf.NValue; i++ {
			yearList = append(yearList, currYear-i-1)
		}
	} else {
		yearList = seasonConf.YearList
	}

	return
}