eta_api/services/data/range_analysis/chart_info.go

package range_analysis

import (
	"encoding/json"
	"errors"
	"eta/eta_api/models/data_manage"
	"eta/eta_api/models/system"
	"eta/eta_api/services/alarm_msg"
	"eta/eta_api/services/data"
	"eta/eta_api/utils"
	"fmt"
	"math"
	"sort"
	"strconv"
	"strings"
	"time"
)

// HandleDataByCalculateType 根据计算公式处理数据
func HandleDataByCalculateType(originList []*data_manage.ChartRangeAnalysisDateDataItem, calculateType int) (newList []*data_manage.EdbDataList, err error) {
	if len(originList) == 0 {
		return
	}
	switch calculateType {
	case 0: //均值
		var sum float64
		for _, item := range originList {
			sum = 0
			for k, v := range item.DataList {
				sum += v.Value
				val := sum / float64(k+1)
				newList = append(newList, &data_manage.EdbDataList{
					DataTime:      v.DataTime,
					Value:         val,
					DataTimestamp: v.DataTimestamp,
				})
			}
		}
	case 1: //累计值
		var sum float64
		for _, item := range originList {
			sum = 0
			for _, v := range item.DataList {
				sum += v.Value
				val := sum
				newList = append(newList, &data_manage.EdbDataList{
					DataTime:      v.DataTime,
					Value:         val,
					DataTimestamp: v.DataTimestamp,
				})
			}
		}
	case 2: //涨幅
		for _, item := range originList {
			var baseVal float64
			for k, v := range item.DataList {
				if k == 0 {
					baseVal = v.Value
					if baseVal == 0 {
						break
					}
				}
				val := (v.Value - baseVal) / baseVal
				newList = append(newList, &data_manage.EdbDataList{
					DataTime:      v.DataTime,
					Value:         val,
					DataTimestamp: v.DataTimestamp,
				})
			}
		}
	case 3: //复合增长率
		for _, item := range originList {
			var baseVal float64
			var baseDate string
			for k, v := range item.DataList {
				if k == 0 {
					baseVal = v.Value
					baseDate = v.DataTime
					if baseVal == 0 {
						break
					}
					continue
				}
				baseDateT, e := time.ParseInLocation(utils.FormatDate, baseDate, time.Local)
				if e != nil {
					err = fmt.Errorf("time.ParseInLocation err: %v", e)
					return
				}
				tmpT, e := time.ParseInLocation(utils.FormatDate, baseDate, time.Local)
				if e != nil {
					err = fmt.Errorf("time.ParseInLocation err: %v", e)
					return
				}
				// 计算两个日期相差的天数
				diff := tmpT.Sub(baseDateT).Hours() / 24
				val := v.Value / baseVal
				val = math.Pow(val, diff) - 1
				newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
			}
		}
	case 4: //最大值
		var maxVal float64
		for _, item := range originList {
			for k, v := range item.DataList {
				if k == 0 {
					maxVal = v.Value
				}
				if v.Value > maxVal {
					maxVal = v.Value
				}
				val := maxVal
				newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
			}
		}
	case 5: //最小值
		var minVal float64
		for _, item := range originList {
			for k, v := range item.DataList {
				if k == 0 {
					minVal = v.Value
				}
				if v.Value < minVal {
					minVal = v.Value
				}
				val := minVal
				newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
			}
		}
	}

	return
}

// MoveDataDaysToNewDataList 平移指标数据生成新的数据序列
func MoveDataDaysToNewDataList(dataList []*data_manage.EdbDataList, moveDay int) (newDataList []data_manage.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
	}

	// 处理领先、滞后数据
	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)

	// 获取日期相差日
	dayNum := utils.GetTimeSubDay(minDate, maxDate)

	for i := 0; i <= dayNum; i++ {
		currDate := minDate.AddDate(0, 0, i)
		tmpValue, ok := newDateMap[currDate]
		if !ok {
			//找不到数据，那么就用前面的数据吧
			if len(newDataList)-1 < 0 {
				tmpValue = 0
			} else {
				tmpValue = newDataList[len(newDataList)-1].Value
			}
		}
		tmpData := data_manage.EdbDataList{
			DataTime: currDate.Format(utils.FormatDate),
			Value:    tmpValue,
		}
		dateDataMap[tmpData.DataTime] = tmpData.Value
		newDataList = append(newDataList, tmpData)
	}
	return
}

// GetChartEdbInfoFormat 区间计算图表-获取指标信息
func GetChartEdbInfoFormat(chartInfoId int, edbInfoMappingList []*data_manage.ChartEdbInfoMapping) (edbList []*data_manage.ChartEdbInfoMapping, err error) {
	edbList = make([]*data_manage.ChartEdbInfoMapping, 0)
	for _, edbInfoMapping := range edbInfoMappingList {
		if edbInfoMapping == nil {
			err = fmt.Errorf("指标信息有误")
			return
		}

		edbInfoMapping.FrequencyEn = data.GetFrequencyEn(edbInfoMapping.Frequency)
		if edbInfoMapping.Unit == `无` {
			edbInfoMapping.Unit = ``
		}
		if chartInfoId <= 0 {
			edbInfoMapping.IsAxis = 1
			edbInfoMapping.LeadValue = 0
			edbInfoMapping.LeadUnit = ""
			edbInfoMapping.ChartEdbMappingId = 0
			edbInfoMapping.ChartInfoId = 0
			edbInfoMapping.IsOrder = false
			edbInfoMapping.EdbInfoType = 1
			edbInfoMapping.ChartStyle = ""
			edbInfoMapping.ChartColor = ""
			edbInfoMapping.ChartWidth = 0
		} else {
			edbInfoMapping.LeadUnitEn = data.GetLeadUnitEn(edbInfoMapping.LeadUnit)
		}
		edbList = append(edbList, edbInfoMapping)
	}
	return
}

// GetChartDataByEdbInfoList 区间计算图表-根据指标信息获取x轴和y轴
func GetChartDataByEdbInfoList(chartInfoId int, startDate, endDate string, edbInfoMappingList []*data_manage.ChartEdbInfoMapping, req *data_manage.ChartRangeAnalysisExtraConf) (edbList []*data_manage.ChartEdbInfoMapping, xEdbIdValue []int, dataResp data_manage.ChartRangeAnalysisDataResp, err error) {
	if chartInfoId > 0 && req.EdbInfoMode == 1 {
		edbList, xEdbIdValue, dataResp, err = GetChartDataByEdbInfoListBySeries(chartInfoId, startDate, endDate, edbInfoMappingList, req)
		return
	}
	for _, edbInfoMapping := range edbInfoMappingList {
		edbInfoMapping, err = getChartDataByEdbInfo(edbInfoMapping, req)
		if err != nil {
			return
		}
		xEdbIdValue = append(xEdbIdValue, edbInfoMapping.EdbInfoId)
	}

	dataResp = data_manage.ChartRangeAnalysisDataResp{ChartRangeAnalysisExtraConf: req}
	edbList, err = GetChartEdbInfoFormat(chartInfoId, edbInfoMappingList)
	if err != nil {
		err = fmt.Errorf("获取区间计算图表, 完善指标信息失败, Err:" + err.Error())
		return
	}
	return
}

func GetChartDataByEdbInfoListBySeries(chartInfoId int, startDate, endDate string, edbInfoMappingList []*data_manage.ChartEdbInfoMapping, req *data_manage.ChartRangeAnalysisExtraConf) (edbList []*data_manage.ChartEdbInfoMapping, xEdbIdValue []int, dataResp data_manage.ChartRangeAnalysisDataResp, err error) {
	//查询seriesId
	chartSeriesOb := new(data_manage.FactorEdbSeriesChartMapping)
	seriesMappingItem, err := chartSeriesOb.GetItemByChartInfoId(chartInfoId)
	if err != nil {
		if err.Error() == utils.ErrNoRow() {
			err = fmt.Errorf("图表关联关系不存在")
			return
		} else {
			err = fmt.Errorf("获取图表关联失败, Err: " + err.Error())
			return
		}
	}
	//根据seriesId查询数据
	//并把数据放到dataList中
	for _, edbInfoMapping := range edbInfoMappingList {
		dataOb := new(data_manage.FactorEdbSeriesCalculateDataQjjs)
		dataList, e := dataOb.GetEdbDataList(seriesMappingItem.FactorEdbSeriesId, edbInfoMapping.EdbInfoId, startDate, endDate)
		if e != nil {
			err = e
			return
		}
		edbInfoMapping.DataList = dataList
		xEdbIdValue = append(xEdbIdValue, edbInfoMapping.EdbInfoId)
	}

	dataResp = data_manage.ChartRangeAnalysisDataResp{ChartRangeAnalysisExtraConf: req}
	edbList, err = GetChartEdbInfoFormat(chartInfoId, edbInfoMappingList)
	if err != nil {
		err = fmt.Errorf("获取区间计算图表, 完善指标信息失败, Err:" + err.Error())
		return
	}
	return
}

// getChartDataByEdbInfo 区间计算图表-根据指标信息获取x轴和y轴
func getChartDataByEdbInfo(edbInfoMapping *data_manage.ChartEdbInfoMapping, req *data_manage.ChartRangeAnalysisExtraConf) (newEdbInfoMapping *data_manage.ChartEdbInfoMapping, err error) {
	newEdbInfoMapping = edbInfoMapping
	// 指标的开始日期和结束日期
	edbStartDateTime, _ := time.ParseInLocation(utils.FormatDate, edbInfoMapping.StartDate, time.Local)
	//edbStartDate := edbStartDateTime.AddDate(0, 0, 1).Format(utils.FormatDate)
	edbEndDateTime, _ := time.ParseInLocation(utils.FormatDate, edbInfoMapping.EndDate, time.Local)
	edbEndDate := edbEndDateTime.AddDate(0, 0, 1).Format(utils.FormatDate)

	// 获取时间基准指标在时间区间内的值
	dataList := make([]*data_manage.EdbDataList, 0)
	switch edbInfoMapping.EdbInfoCategoryType {
	case 0:
		dataList, err = data_manage.GetEdbDataList(edbInfoMapping.Source, edbInfoMapping.SubSource, edbInfoMapping.EdbInfoId, "", "")
	case 1:
		_, dataList, _, _, err, _ = data.GetPredictDataListByPredictEdbInfoId(edbInfoMapping.EdbInfoId, "", "", false)
	default:
		err = errors.New("指标base类型异常")
		return
	}

	dateList := make([]*data_manage.ChartRangeAnalysisDateDataItem, 0)
	switch req.DateRangeType {
	case 0:
		// 智能划分得到一个开始日期，和结束日期
		var startDateTime, endDateTime time.Time
		if req.AutoDateConf.IsAutoStartDate == 0 { //固定设置
			startDate := req.AutoDateConf.StartDate
			if startDate == "" {
				startDate = "2020-01-01"
			}
			startDateTime, _ = time.ParseInLocation(utils.FormatDate, startDate, time.Local)
			endDateTime = edbEndDateTime
		} else {
			startConf := req.AutoDateConf.StartDateConf
			endConf := req.AutoDateConf.EndDateConf
			startDate := ""
			endDate := ""
			if startConf.BaseDateType == 0 { //
				startDate = edbEndDate
			} else if startConf.BaseDateType == 1 {
				startDate = time.Now().Format(utils.FormatDate)
			}
			if startConf.MoveForward > 0 {
				startDate = GetEdbDateByMoveForward(startConf.MoveForward, dataList)
			}
			if len(startConf.DateChange) > 0 {
				startDate, err = HandleEdbDateChange(startDate, startConf.DateChange)
				if err != nil {
					err = fmt.Errorf("智能划分开始日期处理失败：%s", err.Error())
					return
				}
			}

			if endConf.BaseDateType == 0 { //
				endDate = edbEndDate
			} else if endConf.BaseDateType == 2 {
				endDate = "2020-01-01"
			}
			if endConf.MoveForward > 0 {
				endDate = GetEdbDateByMoveForward(endConf.MoveForward, dataList)
			}
			if len(endConf.DateChange) > 0 {
				endDate, err = HandleEdbDateChange(endDate, endConf.DateChange)
				if err != nil {
					err = fmt.Errorf("智能划分结束日期处理失败：%s", err.Error())
					return
				}
			}

			startDateTime, _ = time.ParseInLocation(utils.FormatDate, startDate, time.Local)
			endDateTime, _ = time.ParseInLocation(utils.FormatDate, endDate, time.Local)
		}
		dateList = append(dateList, &data_manage.ChartRangeAnalysisDateDataItem{
			StartDate: startDateTime,
			EndDate:   endDateTime})
	case 1:
		// 手工划分得到多个开始日期和结束日期（已排序）
		for _, v := range req.ManualDateConf {
			startDateT, _ := time.ParseInLocation(utils.FormatDate, v.StartDate, time.Local)
			endDateT, _ := time.ParseInLocation(utils.FormatDate, v.EndDate, time.Local)
			tmp := &data_manage.ChartRangeAnalysisDateDataItem{
				StartDate: startDateT,
				EndDate:   endDateT,
			}
			dateList = append(dateList, tmp)
		}
	case 2:
		// 跨年划分得到多个开始日期和结束日期
		startYear := edbStartDateTime.Year()
		endYear := edbEndDateTime.Year()
		startDay := req.YearDateConf.StartDay
		endDay := req.YearDateConf.EndDay
		for year := startYear; year <= endYear; year++ {
			startDate := fmt.Sprintf("%d-%s", year, startDay)
			endDate := fmt.Sprintf("%d-%s", year+1, endDay)
			startDateTime, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
			endDateTime, _ := time.ParseInLocation(utils.FormatDate, endDate, time.Local)
			if startDateTime.Before(edbStartDateTime) {
				break
			}

			tmp := &data_manage.ChartRangeAnalysisDateDataItem{
				StartDate: startDateTime,
				EndDate:   endDateTime,
			}
			dateList = append(dateList, tmp)
		}
	}
	// 根据日期，获取数据
	for _, v := range dateList {
		for _, vv := range dataList {
			dataTimeT, _ := time.ParseInLocation(utils.FormatDate, vv.DataTime, time.Local)
			if dataTimeT.After(v.StartDate) && dataTimeT.Before(v.EndDate) ||
				dataTimeT.Equal(v.StartDate) ||
				dataTimeT.Equal(v.EndDate) {
				v.DataList = append(v.DataList, vv)
			}
		}
	}
	// 根据时间区间类型来获取数据的计算窗口，然后再拼接成整段数据
	newDataList, err := HandleDataByCalculateType(dateList, req.CalculateType)
	if err != nil {
		return
	}
	if req.UnNormalDataDealType > 0 {
		// todo 异常数据处理
	}

	if req.DataConvertType > 0 {
		// todo 数据转换
	}
	newEdbInfoMapping.DataList = newDataList
	return
}

// RollingCorrelationChartDataResp 滚动区间计算图表数据
type RollingCorrelationChartDataResp struct {
	MaxData             float64
	MinData             float64
	LatestDate          string `description:"真实数据的最后日期"`
	EdbInfoCategoryType int
	ChartColor          string
	ChartStyle          string
	PredictChartColor   string
	ChartType           int
	ChartWidth          int
	EdbName             string
	EdbNameEn           string
	Unit                string
	UnitEn              string
	IsAxis              int
	DataList            []data_manage.EdbDataList
}

/*
// ChartInfoRefresh 图表刷新
func ChartInfoRefresh(chartInfoId int, uniqueCode string) (isAsync bool, err error) {
	var errMsg string
	defer func() {
		if err != nil {
			tips := fmt.Sprintf("CorrelationChartInfoRefresh: %s", errMsg)
			utils.FileLog.Info(tips)
			go alarm_msg.SendAlarmMsg(tips, 3)
		}
	}()
	correlationChart := new(data_manage.ChartInfoCorrelation)
	if err = correlationChart.GetItemById(chartInfoId); err != nil {
		errMsg = "获取区间计算图表失败, Err: " + err.Error()
		return
	}

	// 多因子刷新-异步
	if correlationChart.AnalysisMode == 1 {
		isAsync = true

		go func() {
			// 1.刷新图表关联的指标
			mappings, e := data_manage.GetChartEdbMappingList(chartInfoId)
			if e != nil {
				utils.FileLog.Info(fmt.Sprintf("获取图表关联指标失败, err: %v", e))
				return
			}
			if len(mappings) == 0 {
				utils.FileLog.Info("图表无关联指标")
				return
			}
			var edbIds []int
			for _, v := range mappings {
				edbIds = append(edbIds, v.EdbInfoId)
			}
			if e, _ = data.EdbInfoRefreshAllFromBaseV3(edbIds, false, true, false); e != nil {
				utils.FileLog.Info(fmt.Sprintf("批量刷新指标失败, err: %v", e))
				return
			}

			// 2.刷新指标系列计算数据
			for _, v := range mappings {
				_, e = data.PostRefreshFactorEdbRecalculate(v.EdbInfoId, v.EdbCode)
				if e != nil {
					utils.FileLog.Info(fmt.Sprintf("PostRefreshFactorEdbRecalculate err: %v", e))
					continue
				}
			}

			// 3.刷新图表矩阵
			_, e = data.PostRefreshFactorEdbChartRecalculate(chartInfoId)
			if e != nil {
				utils.FileLog.Info(fmt.Sprintf("PostRefreshFactorEdbRecalculate err: %v", e))
				return
			}

			// 4.清除图表缓存
			key := utils.HZ_CHART_LIB_DETAIL + uniqueCode
			_ = utils.Rc.Delete(key)
		}()
		return
	}

	// 批量刷新ETA指标
	err, _ = data.EdbInfoRefreshAllFromBaseV3([]int{correlationChart.EdbInfoIdFirst, correlationChart.EdbInfoIdSecond}, false, true, false)
	if err != nil {
		return
	}

	// 重新生成数据并更新
	edbInfoMappingA, err := data_manage.GetChartEdbMappingByEdbInfoId(correlationChart.EdbInfoIdFirst)
	if err != nil {
		errMsg = "获取区间计算图表, A指标mapping信息失败, Err:" + err.Error()
		return
	}
	edbInfoMappingB, err := data_manage.GetChartEdbMappingByEdbInfoId(correlationChart.EdbInfoIdSecond)
	if err != nil {
		errMsg = "获取区间计算图表, B指标mapping信息失败, Err:" + err.Error()
		return
	}
	periodData, correlationData, err := GetChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB, correlationChart.LeadValue, correlationChart.LeadUnit, correlationChart.StartDate.Format(utils.FormatDate), correlationChart.EndDate.Format(utils.FormatDate), "")
	if err != nil {
		errMsg = "获取区间计算图表, 图表计算值失败, Err:" + err.Error()
		return
	}
	periodDataByte, err := json.Marshal(periodData)
	if err != nil {
		errMsg = "区间计算图表, X轴信息有误, Err:" + err.Error()
		return
	}
	correlationDataByte, err := json.Marshal(correlationData[0].Value)
	if err != nil {
		errMsg = "区间计算图表, Y轴信息有误, Err:" + err.Error()
		return
	}
	correlationChart.PeriodData = string(periodDataByte)
	correlationChart.CorrelationData = string(correlationDataByte)
	correlationChart.ModifyTime = time.Now().Local()
	correlationUpdateCols := []string{"PeriodData", "CorrelationData", "ModifyTime"}
	if err = correlationChart.Update(correlationUpdateCols); err != nil {
		errMsg = "更新区间计算图表失败, Err:" + err.Error()
		return
	}
	return
}

// GetChartAndCorrelationInfo 获取图表信息和相关信息信息
func GetChartAndCorrelationInfo(chartInfoId int) (chartInfo *data_manage.ChartInfo, correlationInfo *data_manage.ChartInfoCorrelation, tips string, err error) {
	item, e := data_manage.GetChartInfoById(chartInfoId)
	if e != nil {
		if e.Error() == utils.ErrNoRow() {
			tips = "图表已被删除, 请刷新页面"
			err = fmt.Errorf("图表已被删除, 请刷新页面")
			return
		}
		err = fmt.Errorf("获取图表信息失败, Err: %s", e.Error())
		return
	}
	if item.Source != utils.CHART_SOURCE_RANGE_ANALYSIS {
		tips = "该图不是区间计算图表"
		err = fmt.Errorf("该图不是区间计算图表")
		return
	}
	chartInfo = item
	correlationInfo = new(data_manage.ChartInfoCorrelation)
	if e = correlationInfo.GetItemById(chartInfo.ChartInfoId); e != nil {
		err = fmt.Errorf("获取图表区间计算信息失败, Err: %s", e.Error())
		return
	}
	return
}*/

// AddChartInfo 添加图表
func AddChartInfo(req data_manage.AddChartInfoReq, source int, sysUser *system.Admin, lang string) (chartInfo *data_manage.ChartInfo, err error, errMsg string, isSendEmail bool) {
	isSendEmail = true

	req.ChartName = strings.Trim(req.ChartName, " ")
	if req.ChartName == "" {
		errMsg = "请填写图表名称！"
		err = errors.New(errMsg)
		isSendEmail = false
		return
	}
	if req.ChartClassifyId <= 0 {
		errMsg = "分类参数错误！"
		err = errors.New(errMsg)
		isSendEmail = false
		return
	}
	// 区间计算图表配置校验
	var extraConfig data_manage.ChartRangeAnalysisExtraConf
	if req.ExtraConfig == `` {
		errMsg = "配置信息错误"
		err = errors.New(errMsg)
		return
	}
	err = json.Unmarshal([]byte(req.ExtraConfig), &extraConfig)
	if err != nil {
		errMsg = "配置信息错误"
		err = errors.New(errMsg + ", Err: " + err.Error())
		return
	}

	if len(req.ChartEdbInfoList) <= 0 {
		errMsg = "请选择指标"
		err = errors.New(errMsg)
		isSendEmail = false
		return
	}

	extraConfig.SeriesName = strings.TrimSpace(extraConfig.SeriesName)
	if extraConfig.SeriesName == "" && extraConfig.EdbInfoMode == 1 {
		errMsg = "请输入指标系列名称"
		err = errors.New(errMsg)
		isSendEmail = false
		return
	}
	if len(req.ChartEdbInfoList) > 100 {
		errMsg = "添加指标总数量不得超过100"
		err = errors.New(errMsg)
		isSendEmail = false
		return
	}

	if extraConfig.CalculateType > 5 || extraConfig.CalculateType < 0 {
		errMsg = "计算方式参数错误"
		err = errors.New(errMsg)
		isSendEmail = false
		return
	}

	//todo 校验时间区间设置
	chartClassify, err := data_manage.GetChartClassifyById(req.ChartClassifyId)
	if err != nil {
		if err.Error() == utils.ErrNoRow() {
			errMsg = "分类不存在"
			err = errors.New(errMsg)
			isSendEmail = false
			return
		}
		errMsg = "获取分类信息失败"
		err = errors.New("获取分类信息失败，Err:" + err.Error())
		return
	}
	if chartClassify == nil {
		errMsg = "分类不存在"
		err = errors.New(errMsg)
		isSendEmail = false
		return
	}

	var edbInfoIdArr []int

	for _, v := range req.ChartEdbInfoList {
		edbInfoId := v.EdbInfoId
		edbInfo, tmpErr := data_manage.GetEdbInfoById(edbInfoId)
		if tmpErr != nil {
			if tmpErr.Error() == utils.ErrNoRow() {
				errMsg = "指标不存在！"
				err = errors.New("指标不存在，edbInfoId:" + strconv.Itoa(edbInfoId))
				return
			} else {
				errMsg = "获取指标信息失败！"
				err = errors.New("获取图表的指标信息失败，Err:" + tmpErr.Error())
				return
			}
		}

		if edbInfo == nil {
			errMsg = "指标已被删除，请重新选择！"
			err = errors.New("指标不存在，ChartInfoId:" + strconv.Itoa(edbInfoId))
			return
		} else {
			if edbInfo.EdbInfoId <= 0 {
				errMsg = "指标已被删除，请重新选择！"
				err = errors.New("指标不存在，ChartInfoId:" + strconv.Itoa(edbInfoId))
				return
			}
		}

		edbInfoIdArr = append(edbInfoIdArr, edbInfoId)
		edbInfo.EdbNameSource = edbInfo.EdbName
	}

	sort.Ints(edbInfoIdArr)
	var edbInfoIdArrStr []string
	for _, v := range edbInfoIdArr {
		edbInfoIdArrStr = append(edbInfoIdArrStr, strconv.Itoa(v))
	}
	edbInfoIdStr := strings.Join(edbInfoIdArrStr, ",")
	var chartInfoId int

	// 判断图表是否存在
	{
		var condition string
		var pars []interface{}

		switch lang {
		case utils.EnLangVersion:
			condition += " AND chart_name_en = ? AND source = ? "
		default:
			condition += " AND chart_name=? AND source = ? "
		}
		pars = append(pars, req.ChartName, source)
		count, tmpErr := data_manage.GetChartInfoCountByCondition(condition, pars)
		if tmpErr != nil {
			errMsg = "判断图表名称是否存在失败"
			err = errors.New("判断图表名称是否存在失败,Err:" + tmpErr.Error())
			return
		}

		if count > 0 {
			errMsg = "图表已存在，请重新填写"
			err = errors.New(errMsg)
			isSendEmail = false
			return
		}
	}

	disableVal := data.CheckIsDisableChart(edbInfoIdArr)

	chartInfo = new(data_manage.ChartInfo)
	chartInfo.ChartName = req.ChartName
	chartInfo.ChartNameEn = req.ChartName
	chartInfo.EdbInfoIds = edbInfoIdStr
	chartInfo.ChartClassifyId = req.ChartClassifyId
	chartInfo.SysUserId = sysUser.AdminId
	chartInfo.SysUserRealName = sysUser.RealName
	chartInfo.CreateTime = time.Now()
	chartInfo.ModifyTime = time.Now()
	chartInfo.IsSetName = 0
	timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
	chartInfo.UniqueCode = utils.MD5(utils.CHART_PREFIX + "_" + timestamp)
	chartInfo.ChartType = 9 // 区间计算图
	chartInfo.Calendar = "公历"
	chartInfo.DateType = 6
	chartInfo.StartDate = req.StartDate
	chartInfo.EndDate = req.EndDate
	chartInfo.SeasonStartDate = req.StartDate
	chartInfo.SeasonEndDate = req.EndDate
	chartInfo.LeftMin = req.LeftMin
	chartInfo.LeftMax = req.LeftMax
	chartInfo.RightMin = req.RightMin
	chartInfo.RightMax = req.RightMax
	chartInfo.Disabled = disableVal
	chartInfo.Source = source
	chartInfo.ChartThemeId = req.ChartThemeId
	chartInfo.SourcesFrom = req.SourcesFrom
	chartInfo.Instructions = req.Instructions
	chartInfo.MarkersLines = req.MarkersLines
	chartInfo.MarkersAreas = req.MarkersAreas
	if req.ExtraConfig != "" {
		chartInfo.ExtraConfig = req.ExtraConfig
	}

	// 指标信息
	mapList := make([]*data_manage.ChartEdbMapping, 0)
	for _, v := range req.ChartEdbInfoList {
		// todo 指标名称修改
		mapItem := new(data_manage.ChartEdbMapping)
		mapItem.EdbInfoId = v.EdbInfoId
		mapItem.CreateTime = time.Now()
		mapItem.ModifyTime = time.Now()
		edbTimestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
		mapItem.UniqueCode = utils.MD5(utils.CHART_PREFIX + "_" + edbTimestamp + "_" + strconv.Itoa(v.EdbInfoId))
		mapItem.IsOrder = true
		mapItem.IsAxis = 1
		mapItem.EdbInfoType = 1
		mapItem.Source = utils.CHART_SOURCE_RANGE_ANALYSIS
		mapList = append(mapList, mapItem)

	}

	// 新增图表和指标mapping
	chartInfoId, e := data_manage.CreateRangeChartAndEdb(chartInfo, mapList)
	if e != nil {
		errMsg = "操作失败"
		err = errors.New("新增区间计算图表失败, Err: " + e.Error())
		return
	}
	// 把系列和图表绑定
	if extraConfig.EdbInfoMode == 1 {
		// 新增指标系列
		err = AddSeries(edbInfoIdArr, chartInfoId, utils.CHART_SOURCE_RANGE_ANALYSIS, extraConfig, req.ExtraConfig)
		if err != nil {
			errMsg = "操作失败"
			err = errors.New("新增区间计算图表失败, Err: " + err.Error())
			return
		}
		//todo 如果保存失败是否要删除
	}

	// 添加指标引用记录
	_ = data.SaveChartEdbInfoRelation(edbInfoIdArr, chartInfo)
	//添加es数据
	go data.EsAddOrEditChartInfo(chartInfoId)

	return
}

// EditChartInfo 编辑图表
func EditChartInfo(req data_manage.EditChartInfoReq, sysUser *system.Admin, lang string) (chartItem *data_manage.ChartInfo, err error, errMsg string, isSendEmail bool) {
	isSendEmail = true

	chartItem, err = data_manage.GetChartInfoById(req.ChartInfoId)
	if err != nil {
		if err.Error() == utils.ErrNoRow() {
			errMsg = "图表已被删除，请刷新页面"
			err = errors.New(errMsg)
			isSendEmail = false
			return
		}
		errMsg = "获取图表信息失败"
		err = errors.New("获取图表信息失败,Err:" + err.Error())
		return
	}

	if chartItem.Source != utils.CHART_SOURCE_RANGE_ANALYSIS {
		errMsg = "该图不是区间计算图表！"
		err = errors.New(errMsg)
		isSendEmail = false
		return
	}

	req.ChartName = strings.Trim(req.ChartName, " ")
	if req.ChartClassifyId <= 0 {
		errMsg = "分类参数错误！"
		err = errors.New(errMsg)
		isSendEmail = false
		return
	}
	// 区间计算图表配置校验
	var extraConfig data_manage.ChartRangeAnalysisExtraConf
	if req.ExtraConfig == `` {
		errMsg = "配置信息错误"
		err = errors.New(errMsg)
		return
	}
	err = json.Unmarshal([]byte(req.ExtraConfig), &extraConfig)
	if err != nil {
		errMsg = "配置信息错误"
		err = errors.New(errMsg)
		return
	}

	if len(req.ChartEdbInfoList) <= 0 {
		errMsg = "请选择指标"
		err = errors.New(errMsg)
		isSendEmail = false
		return
	}

	extraConfig.SeriesName = strings.TrimSpace(extraConfig.SeriesName)
	if extraConfig.SeriesName == "" && extraConfig.EdbInfoMode == 1 {
		errMsg = "请输入指标系列名称"
		err = errors.New(errMsg)
		isSendEmail = false
		return
	}
	if len(req.ChartEdbInfoList) > 100 {
		errMsg = "添加指标总数量不得超过100"
		err = errors.New(errMsg)
		isSendEmail = false
		return
	}

	if extraConfig.CalculateType > 5 || extraConfig.CalculateType < 0 {
		errMsg = "计算方式参数错误"
		err = errors.New(errMsg)
		isSendEmail = false
		return
	}

	chartClassify, err := data_manage.GetChartClassifyById(req.ChartClassifyId)
	if err != nil {
		if err.Error() == utils.ErrNoRow() {
			errMsg = "分类不存在"
			err = errors.New(errMsg)
			isSendEmail = false
			return
		}
		errMsg = "获取分类信息失败"
		err = errors.New("获取分类信息失败，Err:" + err.Error())
		return
	}
	if chartClassify == nil {
		errMsg = "分类不存在"
		err = errors.New(errMsg)
		isSendEmail = false
		return
	}

	// 图表操作权限
	ok := data.CheckOpChartPermission(sysUser, chartItem.SysUserId, true)
	if !ok {
		errMsg = "没有该图表的操作权限"
		err = errors.New(errMsg)
		isSendEmail = false
		return
	}

	var edbInfoIdArr []int
	for _, v := range req.ChartEdbInfoList {
		edbInfoId := v.EdbInfoId
		edbInfo, tmpErr := data_manage.GetEdbInfoById(edbInfoId)
		if tmpErr != nil {
			if tmpErr.Error() == utils.ErrNoRow() {
				errMsg = "图表不存在！"
				err = errors.New("图表指标不存在，ChartInfoId:" + strconv.Itoa(edbInfoId))
				return
			} else {
				errMsg = "获取图表信息失败！"
				err = errors.New("获取图表的指标信息失败，Err:" + tmpErr.Error())
				return
			}
		}

		if edbInfo == nil {
			errMsg = "指标不存在！"
			err = errors.New("指标不存在，ChartInfoId:" + strconv.Itoa(edbInfoId))
			return
		}
		edbInfoIdArr = append(edbInfoIdArr, edbInfoId)
	}

	sort.Ints(edbInfoIdArr)
	var edbInfoIdArrStr []string
	for _, v := range edbInfoIdArr {
		edbInfoIdArrStr = append(edbInfoIdArrStr, strconv.Itoa(v))
	}
	edbInfoIdStr := strings.Join(edbInfoIdArrStr, ",")

	//判断图表是否存在
	{
		var condition string
		var pars []interface{}
		condition += " AND chart_info_id <> ? "
		pars = append(pars, req.ChartInfoId)
		switch lang {
		case utils.EnLangVersion:
			condition += " AND chart_name_en = ? AND source = ? "
		default:
			condition += " AND chart_name=? AND source = ? "
		}
		pars = append(pars, req.ChartName, chartItem.Source)
		count, tmpErr := data_manage.GetChartInfoCountByCondition(condition, pars)
		if tmpErr != nil {
			errMsg = "判断图表名称是否存在失败"
			err = errors.New("判断图表名称是否存在失败,Err:" + tmpErr.Error())
			return
		}
		if count > 0 {
			errMsg = "图表已存在，请重新填写"
			err = errors.New(errMsg)
			isSendEmail = false
			return
		}
	}
	// 修改图表与指标mapping
	req.ChartType = 1
	dateType := req.DateType
	err = data_manage.EditRangeChartInfoAndMapping(&req, edbInfoIdStr, lang, "公历", dateType, 0, ``)
	if err != nil {
		errMsg = "保存失败"
		err = errors.New("保存失败,Err:" + err.Error())
		return
	}

	addSeries := false
	chartSeriesOb := new(data_manage.FactorEdbSeriesChartMapping)
	seriesMappingItem, err := chartSeriesOb.GetItemByChartInfoId(chartItem.ChartInfoId)
	if err != nil {
		if err.Error() == utils.ErrNoRow() {
			err = nil
			addSeries = true
		} else {
			err = fmt.Errorf("获取图表关联失败, Err: " + err.Error())
			return
		}
	}
	if extraConfig.EdbInfoMode == 1 {
		if addSeries {
			// 新增指标系列
			err = AddSeries(edbInfoIdArr, chartItem.ChartInfoId, utils.CHART_SOURCE_RANGE_ANALYSIS, extraConfig, req.ExtraConfig)
			if err != nil {
				errMsg = "操作失败"
				err = errors.New("新增区间计算图表失败, Err: " + err.Error())
				return
			}
		} else {
			err = EditSeries(seriesMappingItem, edbInfoIdArr, extraConfig, req.ExtraConfig, true)
			if err != nil {
				errMsg = "保存失败"
				err = errors.New("保存失败,Err:" + err.Error())
				return
			}
		}
		// todo 编辑失败处理
	} else if extraConfig.EdbInfoMode == 0 {
		if !addSeries {
			// 删除相关的系列
			factorSeriesOb := new(data_manage.FactorEdbSeries)
			err = factorSeriesOb.RemoveSeriesAndMappingByFactorEdbSeriesId(seriesMappingItem)
			if err != nil {
				errMsg = "保存失败"
				err = errors.New("保存失败,Err:" + err.Error())
				return
			}
		}
	}
	resp := new(data_manage.AddChartInfoResp)
	resp.ChartInfoId = chartItem.ChartInfoId
	resp.UniqueCode = chartItem.UniqueCode
	resp.ChartType = req.ChartType

	// 添加指标引用记录
	_ = data.SaveChartEdbInfoRelation(edbInfoIdArr, chartItem)
	//添加es数据
	go data.EsAddOrEditChartInfo(chartItem.ChartInfoId)
	//修改my eta es数据
	go data.EsAddOrEditMyChartInfoByChartInfoId(chartItem.ChartInfoId)

	return
}

/*
// CopyChartInfo 复制图表
func CopyChartInfo(configId, classifyId int, chartName string, correlationChartInfoReq data_manage.CorrelationChartInfoReq, oldChartInfo *data_manage.ChartInfo, sysUser *system.Admin, lang string) (chartInfo *data_manage.ChartInfo, err error, errMsg string, isSendEmail bool) {
	configSource := 2
	isSendEmail = true
	// 获取区间计算图的配置
	multipleGraphConfigChartMapping, err := data_manage.GetMultipleGraphConfigChartMappingByIdAndSource(configId, configSource)
	if err != nil {
		return
	}
	multipleGraphConfig, err := data_manage.GetMultipleGraphConfigById(configId)
	if err != nil {
		return
	}
	multipleGraphConfig.MultipleGraphConfigId = 0
	err = data_manage.AddMultipleGraphConfig(multipleGraphConfig)
	if err != nil {
		return
	}

	// 添加图
	addChartReq := data_manage.AddChartInfoReq{
		ChartClassifyId:      classifyId,
		ChartName:            chartName,
		ChartType:            utils.CHART_TYPE_CURVE,
		Calendar:             "公历",
		CorrelationChartInfo: correlationChartInfoReq,
		ChartThemeId:         oldChartInfo.ChartThemeId,
		SourcesFrom:          oldChartInfo.SourcesFrom,
		Instructions:         oldChartInfo.Instructions,
		MarkersLines:         oldChartInfo.MarkersLines,
		MarkersAreas:         oldChartInfo.MarkersAreas,
	}
	chartSource := utils.CHART_SOURCE_RANGE_ANALYSIS // 默认是区间计算图
	chartInfo, err, errMsg, isSendEmail = AddChartInfo(addChartReq, chartSource, sysUser, lang)
	if err != nil {
		return
	}

	// 添加关系
	multipleGraphConfigChartMapping = &data_manage.MultipleGraphConfigChartMapping{
		//Id:                    0,
		MultipleGraphConfigId: multipleGraphConfig.MultipleGraphConfigId,
		ChartInfoId:           chartInfo.ChartInfoId,
		Source:                configSource,
		ModifyTime:            time.Now(),
		CreateTime:            time.Now(),
	}
	err = data_manage.AddMultipleGraphConfigChartMapping(multipleGraphConfigChartMapping)
	if err != nil {
		return
	}

	//添加es数据
	go data.EsAddOrEditChartInfo(chartInfo.ChartInfoId)

	return
}

// CalculateCorrelation 计算区间计算-获取x轴和y轴
func CalculateCorrelation(leadValue int, leadUnit, frequencyA, frequencyB string, dataListA, dataListB []*data_manage.EdbDataList) (xEdbIdValue []int, yDataList []data_manage.YData, err error) {
	xData := make([]int, 0)
	yData := make([]float64, 0)
	if leadValue == 0 {
		xData = append(xData, 0)
	}
	if leadValue > 0 {
		leadMin := 0 - leadValue
		xLen := 2*leadValue + 1
		for i := 0; i < xLen; i++ {
			n := leadMin + i
			xData = append(xData, n)
		}
	}

	// 计算窗口，不包含第一天
	//startDateTime, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
	//startDate = startDateTime.AddDate(0, 0, 1).Format(utils.FormatDate)

	//// 2023-03-02 时间序列始终以指标B为基准, 始终是A进行平移
	//baseEdbInfo := edbInfoMappingB
	//changeEdbInfo := edbInfoMappingA
	// 2023-03-17 时间序列始终以指标A为基准, 始终是B进行平移
	//baseEdbInfo := edbInfoMappingA
	//changeEdbInfo := edbInfoMappingB

	// 获取时间基准指标在时间区间内的值
	//aDataList := make([]*data_manage.EdbDataList, 0)
	//switch baseEdbInfo.EdbInfoCategoryType {
	//case 0:
	//	aDataList, err = data_manage.GetEdbDataList(baseEdbInfo.Source, baseEdbInfo.SubSource, baseEdbInfo.EdbInfoId, startDate, endDate)
	//case 1:
	//	_, aDataList, _, _, err, _ = data.GetPredictDataListByPredictEdbInfoId(baseEdbInfo.EdbInfoId, startDate, endDate, false)
	//default:
	//	err = errors.New("指标base类型异常")
	//	return
	//}
	//
	//// 获取变频指标所有日期的值, 插值法完善数据
	//bDataList := make([]*data_manage.EdbDataList, 0)
	//switch changeEdbInfo.EdbInfoCategoryType {
	//case 0:
	//	bDataList, err = data_manage.GetEdbDataList(changeEdbInfo.Source, changeEdbInfo.SubSource, changeEdbInfo.EdbInfoId, "", "")
	//case 1:
	//	_, bDataList, _, _, err, _ = data.GetPredictDataListByPredictEdbInfoId(changeEdbInfo.EdbInfoId, "", "", false)
	//default:
	//	err = errors.New("指标change类型异常")
	//	return
	//}
	//changeDataMap := make(map[string]float64)
	//newChangeDataList, e := HandleDataByLinearRegression(bDataList, changeDataMap)
	//if e != nil {
	//	err = fmt.Errorf("获取变频指标插值法Map失败, Err: %s", e.Error())
	//	return
	//}

	// 2023-03-17 时间序列始终以指标A为基准, 始终是B进行平移
	baseDataList := make([]*data_manage.EdbDataList, 0)
	baseDataMap := make(map[string]float64)
	changeDataList := make([]*data_manage.EdbDataList, 0)
	changeDataMap := make(map[string]float64)

	// 先把低频指标升频为高频
	{
		frequencyIntMap := map[string]int{
			"日度": 1,
			"周度": 2,
			"旬度": 3,
			"月度": 4,
			"季度": 5,
			"年度": 6,
		}

		// 如果A指标是高频，那么就需要对B指标进行升频
		if frequencyIntMap[frequencyA] < frequencyIntMap[frequencyB] {
			tmpNewChangeDataList, e := HandleDataByLinearRegression(dataListB, changeDataMap)
			if e != nil {
				err = fmt.Errorf("获取变频指标插值法Map失败, Err: %s", e.Error())
				return
			}
			changeDataList = tmpNewChangeDataList
			baseDataList = dataListA
			for _, v := range baseDataList {
				baseDataMap[v.DataTime] = v.Value
			}

		} else if frequencyIntMap[frequencyA] > frequencyIntMap[frequencyB] {
			// 如果B指标是高频，那么就需要对A指标进行升频
			tmpNewChangeDataList, e := HandleDataByLinearRegression(dataListA, baseDataMap)
			if e != nil {
				err = fmt.Errorf("获取变频指标插值法Map失败, Err: %s", e.Error())
				return
			}
			baseDataList = tmpNewChangeDataList

			changeDataList = dataListB
			for _, v := range changeDataList {
				changeDataMap[v.DataTime] = v.Value
			}
		} else {
			baseDataList = dataListA
			for _, v := range baseDataList {
				baseDataMap[v.DataTime] = v.Value
			}
			changeDataList = dataListB
			for _, v := range changeDataList {
				changeDataMap[v.DataTime] = v.Value
			}
		}

	}

	// 计算不领先也不滞后时的相关系数
	baseCalculateData := make([]float64, 0)
	baseDataTimeArr := make([]string, 0)
	for i := range baseDataList {
		baseDataTimeArr = append(baseDataTimeArr, baseDataList[i].DataTime)
		baseCalculateData = append(baseCalculateData, baseDataList[i].Value)
	}

	//zeroBaseData := make([]float64, 0)
	//zeroCalculateData := make([]float64, 0)
	//for i := range baseDataTimeArr {
	//	tmpBaseVal, ok1 := baseDataMap[baseDataTimeArr[i]]
	//	tmpCalculateVal, ok2 := changeDataMap[baseDataTimeArr[i]]
	//	if ok1 && ok2 {
	//		zeroBaseData = append(zeroBaseData, tmpBaseVal)
	//		zeroCalculateData = append(zeroCalculateData, tmpCalculateVal)
	//	}
	//}
	//if len(zeroBaseData) != len(zeroCalculateData) {
	//	err = fmt.Errorf("相关系数两组序列元素数不一致, %d-%d", len(baseCalculateData), len(zeroCalculateData))
	//	return
	//}
	//zeroRatio := utils.CalculateCorrelationByIntArr(zeroBaseData, zeroCalculateData)
	//if leadValue == 0 {
	//	yData = append(yData, zeroRatio)
	//}

	// 计算领先/滞后N期
	if leadValue > 0 {
		// 平移变频指标领先/滞后的日期(单位天)
		moveUnitDays := utils.FrequencyDaysMap[leadUnit]

		for i := range xData {
			//if xData[i] == 0 {
			//	yData = append(yData, zeroRatio)
			//	continue
			//}
			xCalculateData := make([]float64, 0)
			yCalculateData := make([]float64, 0)

			// 平移指定天数
			mDays := int(moveUnitDays) * xData[i]
			_, dMap := MoveDataDaysToNewDataList(changeDataList, mDays)

			// 取出对应的基准日期的值
			for i2 := range baseDataTimeArr {
				tmpDate := baseDataTimeArr[i2]
				if yVal, ok := dMap[tmpDate]; ok {
					xCalculateData = append(xCalculateData, baseCalculateData[i2])
					yCalculateData = append(yCalculateData, yVal)
				}
			}
			if len(yCalculateData) <= 0 {
				//err = fmt.Errorf("领先滞后相关系数两组序列元素数不一致, %d-%d", len(baseCalculateData), len(yCalculateData))
				//return
				// 领先滞后后，没有可以计算的数据了
				continue
			}

			// 公式计算出领先/滞后频度对应点的区间计算系数
			ratio := utils.CalculateCorrelationByIntArr(xCalculateData, yCalculateData)
			yData = append(yData, ratio)
		}
	}

	xEdbIdValue = xData
	yDataList = make([]data_manage.YData, 0)
	yDate := "0000-00-00"
	yDataList = append(yDataList, data_manage.YData{
		Date:  yDate,
		Value: yData,
	})
	return
}

// GetFactorChartDataByChartId 获取多因子区间计算图表数据
func GetFactorChartDataByChartId(chartInfoId int, extraConfig string) (xEdbIdValue []int, yDataList []data_manage.YData, err error) {
	if chartInfoId <= 0 {
		return
	}
	// 指标对应的图例
	extra := new(data_manage.CorrelationChartInfoExtraConfig)
	if extraConfig != "" {
		if e := json.Unmarshal([]byte(extraConfig), extra); e != nil {
			err = fmt.Errorf("解析图表额外配置失败, err: %v", e)
			return
		}
	}
	legends := make(map[string]*data_manage.CorrelationChartLegend)
	if extra != nil {
		for _, v := range extra.LegendConfig {
			s := fmt.Sprintf("%d-%d", v.SeriesId, v.EdbInfoId)
			legends[s] = v
		}
	}

	// 获取图表引用到的系列指标
	chartMappingOb := new(data_manage.FactorEdbSeriesChartMapping)
	cond := fmt.Sprintf(" AND %s = ? AND %s = 1", chartMappingOb.Cols().ChartInfoId, chartMappingOb.Cols().EdbUsed)
	pars := make([]interface{}, 0)
	pars = append(pars, chartInfoId)
	chartMappings, e := chartMappingOb.GetItemsByCondition(cond, pars, []string{}, "")
	if e != nil {
		err = fmt.Errorf("获取图表引用系列指标失败")
		return
	}

	// 取出计算结果
	yDataList = make([]data_manage.YData, 0)
	yDate := "0000-00-00"
	for k, m := range chartMappings {
		var values []data_manage.FactorEdbSeriesCorrelationMatrixValues
		if m.CalculateData != "" {
			e = json.Unmarshal([]byte(m.CalculateData), &values)
			if e != nil {
				err = fmt.Errorf("系列指标计算数据有误, err: %v", e)
				return
			}
		}
		var y []float64
		for _, v := range values {
			if k == 0 {
				xEdbIdValue = append(xEdbIdValue, v.XData)
			}
			y = append(y, v.YData)
		}
		var yData data_manage.YData
		yData.Date = yDate
		yData.Value = y
		yData.SeriesEdb.SeriesId = m.FactorEdbSeriesId
		yData.SeriesEdb.EdbInfoId = m.EdbInfoId

		// 图例
		s := fmt.Sprintf("%d-%d", m.FactorEdbSeriesId, m.EdbInfoId)
		legend := legends[s]
		if legend != nil {
			yData.Name = legend.LegendName
			yData.Color = legend.Color
		}
		yDataList = append(yDataList, yData)
	}
	return
}

// FormatChartEdbInfoMappings 补充指标信息
func FormatChartEdbInfoMappings(chartInfoId int, mappings []*data_manage.ChartEdbInfoMapping) (edbList []*data_manage.ChartEdbInfoMapping, err error) {
	edbList = make([]*data_manage.ChartEdbInfoMapping, 0)
	if len(mappings) == 0 {
		return
	}

	for _, v := range mappings {
		if chartInfoId <= 0 {
			v.IsAxis = 1
			v.LeadValue = 0
			v.LeadUnit = ""
			v.ChartEdbMappingId = 0
			v.ChartInfoId = 0
			v.IsOrder = false
			v.EdbInfoType = 1
			v.ChartStyle = ""
			v.ChartColor = ""
			v.ChartWidth = 0
		} else {
			v.LeadUnitEn = data.GetLeadUnitEn(v.LeadUnit)
			v.LeadUnitEn = data.GetLeadUnitEn(v.LeadUnit)
		}
		v.FrequencyEn = data.GetFrequencyEn(v.Frequency)
		if v.Unit == `无` {
			v.Unit = ``
		}
		edbList = append(edbList, v)
	}
	return
}*/

func GetEdbDateByMoveForward(moveForward int, edbDataList []*data_manage.EdbDataList) (date string) {
	moveForward = 0
	// 根据日期进行排序
	index := len(edbDataList) - 1 - moveForward
	for k, v := range edbDataList {
		if k == index {
			date = v.DataTime
			return
		}
	}
	return
}

// HandleEdbDateChange 处理日期变换
func HandleEdbDateChange(date string, dateChange []*data_manage.EdbDateConfDateChange) (newDate string, err error) {
	newDate = date
	if newDate != "" {
		if len(dateChange) > 0 {
			var dateTime time.Time
			dateTime, err = time.ParseInLocation(utils.FormatDate, newDate, time.Local)
			if err != nil {
				err = fmt.Errorf("日期解析失败: %s", err.Error())
				return
			}
			for _, v := range dateChange {
				if v.ChangeType == 1 {
					dateTime = dateTime.AddDate(v.Year, v.Month, v.Day)
					newDate = dateTime.Format(utils.FormatDate)
				} else if v.ChangeType == 2 {
					newDate, err, _ = utils.HandleSystemAppointDateT(dateTime, v.FrequencyDay, v.Frequency)
					if err != nil {
						return
					}
					dateTime, err = time.ParseInLocation(utils.FormatDate, newDate, time.Local)
					if err != nil {
						err = fmt.Errorf("日期解析失败: %s", err.Error())
						return
					}
				}
			}
		}
	}

	return
}

// 添加指标系列和数据
func AddSeries(edbInfoIds []int, chartInfoId, chartInfoSource int, extraConf data_manage.ChartRangeAnalysisExtraConf, calculatesJson string) (err error) {
	edbArr, e := data_manage.GetEdbInfoByIdList(edbInfoIds)
	if e != nil {
		err = fmt.Errorf("获取指标列表失败, Err: " + e.Error())
		return
	}
	if len(edbArr) == 0 {
		err = fmt.Errorf("获取指标列表失败, 指标不存在")
		return
	}
	edbInfoType := edbArr[0].EdbInfoType
	// 新增指标系列
	seriesItem := new(data_manage.FactorEdbSeries)
	seriesItem.SeriesName = extraConf.SeriesName
	seriesItem.EdbInfoType = edbInfoType
	seriesItem.CreateTime = time.Now().Local()
	seriesItem.ModifyTime = time.Now().Local()
	seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculating
	seriesItem.CalculateStep = calculatesJson
	mappings := make([]*data_manage.FactorEdbSeriesMapping, 0)
	for _, v := range edbArr {
		mappings = append(mappings, &data_manage.FactorEdbSeriesMapping{
			EdbInfoId:  v.EdbInfoId,
			EdbCode:    v.EdbCode,
			CreateTime: time.Now().Local(),
			ModifyTime: time.Now().Local(),
		})
	}

	seriesId, e := seriesItem.CreateSeriesAndMapping(seriesItem, mappings)
	if e != nil {
		err = fmt.Errorf("新增因子指标系列失败, Err: " + e.Error())
		return
	}

	// 图表关联-此处添加的chart_info_id=0
	seriesChartMapping := new(data_manage.FactorEdbSeriesChartMapping)
	seriesChartMapping.CalculateType = data_manage.FactorEdbSeriesChartCalculateTypeRange
	//新增图表和指标的映射关系
	seriesChartMapping.CalculateData = ""
	seriesChartMapping.FactorEdbSeriesId = seriesId
	seriesChartMapping.ChartInfoId = chartInfoId
	seriesChartMapping.Source = chartInfoSource
	seriesChartMapping.CreateTime = time.Now().Local()
	seriesChartMapping.ModifyTime = time.Now().Local()

	if e = seriesChartMapping.Create(); e != nil {
		err = fmt.Errorf("新增图表关联失败, Err: " + e.Error())
		return
	}

	// todo 计算指标数据并存储
	_, e = FactorEdbStepCalculateRange(seriesId, edbInfoIds, extraConf, false)
	if e != nil {
		err = fmt.Errorf("计算因子指标失败, Err: " + e.Error())
		return
	}

	// 更新系列计算状态
	cols := []string{seriesItem.Cols().CalculateState, seriesItem.Cols().ModifyTime}
	seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculated
	seriesItem.ModifyTime = time.Now().Local()
	if e = seriesItem.Update(cols); e != nil {
		err = fmt.Errorf("更新因子指标系列计算状态失败, Err: " + e.Error())
		return
	}
	return
}

func EditSeries(seriesMapping *data_manage.FactorEdbSeriesChartMapping, edbInfoIds []int, extraConf data_manage.ChartRangeAnalysisExtraConf, calculatesJson string, recalculate bool) (err error) {
	seriesOb := new(data_manage.FactorEdbSeries)
	seriesItem, e := seriesOb.GetItemById(seriesMapping.FactorEdbSeriesId)
	if e != nil {
		if e.Error() == utils.ErrNoRow() {
			err = fmt.Errorf("因子指标系列不存在, Err: " + e.Error())
			return
		}
		err = fmt.Errorf("获取因子指标系列失败, Err: " + e.Error())
		return
	}

	edbArr, e := data_manage.GetEdbInfoByIdList(edbInfoIds)
	if e != nil {
		err = fmt.Errorf("获取指标列表失败, Err: " + e.Error())
		return
	}
	if len(edbArr) == 0 {
		err = fmt.Errorf("指标列表为空")
		return
	}
	var calculateResp data_manage.FactorEdbSeriesStepCalculateResp
	calculateResp.SeriesId = seriesItem.FactorEdbSeriesId

	// 如果不需要进行重新计算(比如只改了系列名称)那么只更新指标系列
	seriesItem.SeriesName = extraConf.SeriesName
	seriesItem.EdbInfoType = edbArr[0].EdbInfoType
	seriesItem.ModifyTime = time.Now().Local()
	updateCols := []string{seriesOb.Cols().SeriesName, seriesOb.Cols().EdbInfoType, seriesOb.Cols().ModifyTime}
	if !recalculate {
		if e = seriesItem.Update(updateCols); e != nil {
			err = fmt.Errorf("更新因子指标系列失败, Err: " + e.Error())
			return
		}
		return
	}

	// 更新系列信息和指标关联
	seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculating
	seriesItem.CalculateStep = calculatesJson
	updateCols = append(updateCols, seriesOb.Cols().CalculateState, seriesOb.Cols().CalculateStep)

	mappings := make([]*data_manage.FactorEdbSeriesMapping, 0)
	for _, v := range edbArr {
		mappings = append(mappings, &data_manage.FactorEdbSeriesMapping{
			EdbInfoId:  v.EdbInfoId,
			EdbCode:    v.EdbCode,
			CreateTime: time.Now().Local(),
			ModifyTime: time.Now().Local(),
		})
	}
	if e = seriesItem.EditSeriesAndMapping(seriesItem, mappings, updateCols); e != nil {
		err = fmt.Errorf("更新因子指标系列信息失败, Err: %s", e.Error())
		return
	}

	// todo 重新计算
	_, e = FactorEdbStepCalculateRange(seriesItem.FactorEdbSeriesId, edbInfoIds, extraConf, false)
	if e != nil {
		err = fmt.Errorf("计算因子指标失败, Err: " + e.Error())
		return
	}

	// 更新系列计算状态
	cols := []string{seriesItem.Cols().CalculateState, seriesItem.Cols().ModifyTime}
	seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculated
	seriesItem.ModifyTime = time.Now().Local()
	if e = seriesItem.Update(cols); e != nil {
		err = fmt.Errorf("更新因子指标系列计算状态失败, Err: %s", e.Error())
		return
	}
	return
}

// FactorEdbStepCalculateRange 因子指标-区间计算
func FactorEdbStepCalculateRange(seriesId int, edbArr []int, extraConf data_manage.ChartRangeAnalysisExtraConf, recalculate bool) (calculateResp data_manage.FactorEdbSeriesStepCalculateResp, err error) {
	// todo 如果指标已保存，则用指标数据还是图表指标数据？
	// 获取图表x轴y轴
	defer func() {
		if err != nil {
			tips := fmt.Sprintf("StepCalculate计算失败, ErrMsg: %v", err)
			fmt.Println(tips)
			utils.FileLog.Info(tips)
			go alarm_msg.SendAlarmMsg(tips, 3)
		}
		/*if len(calculateResp.Fail) > 0 {
			tips := "StepCalculate计算失败, ErrMsg: "
			for _, f := range calculateResp.Fail {
				tips += fmt.Sprintf("code: %s, err: %s\n", f.EdbCode, f.ErrMsg)
			}
			fmt.Println(tips)
			utils.FileLog.Info(tips)
			go alarm_msg.SendAlarmMsg(tips, 2)
		}*/
	}()

	edbInfoMappingList, e := data_manage.GetChartEdbMappingListByEdbInfoIdList(edbArr)
	if e != nil {
		err = fmt.Errorf("获取区间计算图表, A指标mapping信息失败, Err:%v", e)
		return
	}

	_, _, _, err = GetChartDataByEdbInfoList(0, "", "", edbInfoMappingList, &extraConf)
	if err != nil {
		err = fmt.Errorf("获取图表数据失败, ErrMsg: %v", err)
		return
	}

	// 重新计算-先清除原数据
	calculateDataOb := new(data_manage.FactorEdbSeriesCalculateDataQjjs)

	cond := fmt.Sprintf("%s = ?", calculateDataOb.Cols().FactorEdbSeriesId)
	pars := make([]interface{}, 0)
	pars = append(pars, seriesId)
	if e := calculateDataOb.RemoveByCondition(cond, pars); e != nil {
		err = fmt.Errorf("清除原数据失败, err: %v", e)
		return
	}

	// 计算成功的保存结果
	dataArr := make([]*data_manage.FactorEdbSeriesCalculateDataQjjs, 0)
	for _, v := range edbInfoMappingList {
		dataList := v.DataList.([]*data_manage.EdbDataList)
		for _, dataItem := range dataList {
			dataTime, _ := time.ParseInLocation(utils.FormatDate, dataItem.DataTime, time.Local)
			dataArr = append(dataArr, &data_manage.FactorEdbSeriesCalculateDataQjjs{
				FactorEdbSeriesId: seriesId,
				EdbInfoId:         v.EdbInfoId,
				EdbCode:           v.EdbCode,
				DataTime:          dataTime,
				Value:             dataItem.Value,
				CreateTime:        time.Now().Local(),
				ModifyTime:        time.Now().Local(),
				DataTimestamp:     dataItem.DataTimestamp,
			})
		}
	}
	if len(dataArr) == 0 {
		err = fmt.Errorf("计算结果无数据, seriesId: %d", seriesId)
		return
	}
	if e = calculateDataOb.CreateMulti(dataArr); e != nil {
		err = fmt.Errorf("保存计算结果失败, seriesId: %d, err: %v, ", seriesId, e)
		return
	}
	return
}