eta_api/services/residual_analysis_service/residual_analysis_service.go

package residual_analysis_service

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

func ResidualAnalysisPreview(req residual_analysis_model.ResidualAnalysisReq) (residual_analysis_model.ResidualAnalysisResp, error) {

	mappingList, err := data_manage.GetChartEdbMappingListByEdbInfoIdList([]int{req.EdbInfoIdA, req.EdbInfoIdB})
	if err != nil {
		return residual_analysis_model.ResidualAnalysisResp{}, fmt.Errorf("获取图表，指标信息失败，Err:%s", err.Error())
	}

	var edbInfoMappingA, edbInfoMappingB *data_manage.ChartEdbInfoMapping
	for _, v := range mappingList {
		if v.Unit == "无" {
			v.Unit = ""
		}
		if v.EdbInfoId == req.EdbInfoIdA {
			edbInfoMappingA = v
		}
		if v.EdbInfoId == req.EdbInfoIdB {
			edbInfoMappingB = v
		}
	}
	if edbInfoMappingA == nil {
		return residual_analysis_model.ResidualAnalysisResp{}, fmt.Errorf("指标A不存在")
	}
	if edbInfoMappingB == nil {
		return residual_analysis_model.ResidualAnalysisResp{}, fmt.Errorf("指标B不存在")
	}

	// 时间处理
	var startDate, endDate string
	switch req.DateType {
	case 0:
		startDate = req.StartDate
		endDate = req.EndDate
	case 1:
		startDate = req.StartDate
		endDate = ""
	default:
		startDate = utils.GetPreYearTime(req.DateType)
		endDate = ""
	}

	resp := residual_analysis_model.ResidualAnalysisResp{}

	// 原始图表信息
	originalEdbList := make([]residual_analysis_model.ResidualAnalysisChartEdbInfoMapping, 0)

	originalEdbList, fullADataList, fullBDataList, err := fillOriginalChart(req, mappingList, startDate, endDate, edbInfoMappingA, edbInfoMappingB, originalEdbList)
	if err != nil {
		return residual_analysis_model.ResidualAnalysisResp{}, err
	}

	originalChartInfo := createChartInfoResp(req, startDate, endDate, edbInfoMappingA.EdbName+"与"+edbInfoMappingB.EdbName)

	resp.OriginalChartData = residual_analysis_model.ChartResp{
		ChartInfo:   originalChartInfo,
		EdbInfoList: originalEdbList,
	}
	// 如果只需要第一张图表的数据 直接返回，避免继续处理
	if req.QueryType == 1 {
		return resp, nil
	}

	dataAList, ok := edbInfoMappingA.DataList.([]*data_manage.EdbDataList)
	if !ok {
		return residual_analysis_model.ResidualAnalysisResp{}, fmt.Errorf("数据类型转换失败")
	}
	indexADataMap := map[string]*data_manage.EdbDataList{}
	for _, indexData := range dataAList {
		indexADataMap[indexData.DataTime] = indexData
	}

	// 映射图表信息
	mappingEdbList, a, b, r, err := fillMappingChartInfo(req, edbInfoMappingA, edbInfoMappingB, originalEdbList, indexADataMap, startDate, endDate, fullADataList, fullBDataList)
	if err != nil {
		return residual_analysis_model.ResidualAnalysisResp{}, err
	}

	mappingChartInfo := createChartInfoResp(req, startDate, endDate, edbInfoMappingA.EdbName+"与"+edbInfoMappingB.EdbName+"映射"+edbInfoMappingA.EdbName)

	resp.MappingChartData = residual_analysis_model.ChartResp{
		ChartInfo:   mappingChartInfo,
		EdbInfoList: mappingEdbList,
	}

	// 残差图表信息
	residualEdbList, R2, err := fillResidualChartInfo(req, edbInfoMappingA, edbInfoMappingB, mappingEdbList)
	if err != nil {
		return residual_analysis_model.ResidualAnalysisResp{}, err
	}

	residualChartInfo := createChartInfoResp(req, startDate, endDate, edbInfoMappingA.EdbName+"与"+edbInfoMappingA.EdbName+"映射残差/"+edbInfoMappingB.EdbName)

	resp.ResidualChartData = residual_analysis_model.ChartResp{
		ChartInfo:   residualChartInfo,
		EdbInfoList: residualEdbList,
	}

	if req.ResidualType == 2 {
		resp.A = math.Round(a*10000) / 10000
		resp.B = math.Round(b*10000) / 10000
		resp.R = math.Round(r*10000) / 10000
		resp.R2 = math.Round(R2*10000) / 10000
	}

	return resp, nil
}

func createChartInfoResp(req residual_analysis_model.ResidualAnalysisReq, startDate, endDate, chartName string) residual_analysis_model.ResidualAnalysisChartInfo {
	return residual_analysis_model.ResidualAnalysisChartInfo{
		Calendar:  `公历`,
		Source:    utils.CHART_SOURCE_DEFAULT,
		DateType:  req.DateType,
		StartDate: startDate,
		EndDate:   endDate,
		ChartType: utils.CHART_TYPE_CURVE,
		ChartName: chartName,
	}
}

func fillResidualChartInfo(req residual_analysis_model.ResidualAnalysisReq, edbInfoMappingA *data_manage.ChartEdbInfoMapping, edbInfoMappingB *data_manage.ChartEdbInfoMapping, mappingEdbList []residual_analysis_model.ResidualAnalysisChartEdbInfoMapping) ([]residual_analysis_model.ResidualAnalysisChartEdbInfoMapping, float64, error) {
	// 计算公式 映射残差 = 因变量指标 - 映射指标
	var edbInfoA, edbInfoB residual_analysis_model.ResidualAnalysisChartEdbInfoMapping
	if mappingEdbList[0].EdbInfoId == edbInfoMappingA.EdbInfoId {
		edbInfoA = mappingEdbList[0]
		edbInfoB = mappingEdbList[1]
	} else {
		edbInfoA = mappingEdbList[1]
		edbInfoB = mappingEdbList[0]
	}
	dataAList, ok := edbInfoA.DataList.([]*data_manage.EdbDataList)
	if !ok {
		return nil, 0, fmt.Errorf("数据类型转换失败")
	}
	edbData := make([]*data_manage.EdbDataList, len(dataAList))
	for i, data := range dataAList {
		edbData[i] = &data_manage.EdbDataList{
			Value:         data.Value, // 确保为每个元素创建一个新的对象
			DataTimestamp: data.DataTimestamp,
			DataTime:      data.DataTime,
			EdbInfoId:     data.EdbInfoId,
			EdbDataId:     data.EdbDataId,
		}
	}

	dataBList, ok := edbInfoB.DataList.([]*data_manage.EdbDataList)
	if !ok {
		return nil, 0, fmt.Errorf("数据类型转换失败")
	}

	// 映射指标开始时间
	var startTime string
	if len(dataBList) > 0 {
		startTime = dataBList[0].DataTime
	}

	var indexDataBMap = make(map[string]*data_manage.EdbDataList)
	for _, data := range dataBList {
		indexDataBMap[data.DataTime] = data
	}
	// 求R2
	var valueB, sumValueA, averageValueA, residualQuadraticSum, totalQuadraticSum, R2 float64

	for _, indexData := range edbData {
		// 因变量的值总和
		sumValueA += indexData.Value
	}
	// 因变量平均值
	averageValueA = sumValueA / float64(len(edbData))

	var indexMax, indexMin float64

	var edbDataResp []*data_manage.EdbDataList
	if len(edbData) > 0 {
		indexMax = edbData[0].Value
		indexMin = edbData[0].Value
		for _, indexData := range edbData {
			if dataB, ok := indexDataBMap[indexData.DataTime]; ok {
				valueB = dataB.Value
			} else {
				continue
			}

			// 总因变量平方和
			totalQuadraticSum += math.Pow(indexData.Value-averageValueA, 2)

			// 补全残差值

			indexData.Value = math.Round((indexData.Value-valueB)*10000) / 10000

			// 残差平方和
			residualQuadraticSum += math.Pow(indexData.Value, 2)

			if indexData.Value > indexMax {
				indexMax = indexData.Value
			}
			if indexData.Value < indexMin {
				indexMin = indexData.Value
			}

			// 获取映射指标之后的数据
			if startTime != "" && utils.CompareDate(startTime, indexData.DataTime) {
				edbDataResp = append(edbDataResp, indexData)
			}
		}
	}

	// 计算R2 公式：R2=1-SSE/SST R2越大，越符合线性  R2 = 1 - 残差平方和/总平方和
	R2 = 1 - residualQuadraticSum/totalQuadraticSum

	mappingEdb := make([]residual_analysis_model.ResidualAnalysisChartEdbInfoMapping, len(mappingEdbList))
	copy(mappingEdb, mappingEdbList)

	for i, mapping := range mappingEdb {
		if mapping.EdbInfoId != edbInfoMappingA.EdbInfoId {
			mappingEdb[i].DataList = edbDataResp
			mappingEdb[i].EdbName = edbInfoMappingA.EdbName + "映射残差/" + edbInfoMappingB.EdbName
			if req.IndexType == 2 {
				if req.LeadValue > 0 {
					mappingEdb[i].EdbName = edbInfoMappingA.EdbName + "映射残差/" + edbInfoMappingB.EdbName + "（领先" + strconv.Itoa(req.LeadValue) + req.LeadFrequency + "）"
				}
			}
			mappingEdb[i].IsAxis = 1
			mappingEdb[i].ChartColor = `#00F`
			mappingEdb[i].IsOrder = false
			mappingEdb[i].MinValue = indexMin
			mappingEdb[i].MaxValue = indexMax
		} else {
			mappingEdb[i].IsAxis = 0
			mappingEdb[i].ChartColor = `#F00`
		}
	}

	return mappingEdb, R2, nil
}

func fillMappingChartInfo(req residual_analysis_model.ResidualAnalysisReq, edbInfoMappingA *data_manage.ChartEdbInfoMapping, edbInfoMappingB *data_manage.ChartEdbInfoMapping, originalEdbList []residual_analysis_model.ResidualAnalysisChartEdbInfoMapping, indexADataMap map[string]*data_manage.EdbDataList, startDate string, endDate string, fullADataList []*data_manage.EdbDataList, fullBDataList []*data_manage.EdbDataList) ([]residual_analysis_model.ResidualAnalysisChartEdbInfoMapping, float64, float64, float64, error) {
	// 计算公式：Y=aX+b，Y为映射后的指标，X为自变量指标
	// 正序：a=(L2-L1)/(R2-R1)	b=L2-R2*a
	// 逆序：a=(L2-L1)/(R1-R2)	b=L2-R1*a
	// L2：左轴下限 R2：右轴上限 L1：左轴上限 R1：右轴下限
	var a, b, r float64

	// 映射残差 计算a,b
	if req.ResidualType == 1 {
		if req.IsOrder {
			a = (req.LeftIndexMax - req.LeftIndexMin) / (req.RightIndexMin - req.RightIndexMax)
			b = req.LeftIndexMax - req.RightIndexMin*a
		} else {
			a = (req.LeftIndexMax - req.LeftIndexMin) / (req.RightIndexMax - req.RightIndexMin)
			b = req.LeftIndexMax - req.RightIndexMax*a
		}
	}

	//dataAList := edbInfoMappingA.DataList.([]*data_manage.EdbDataList)
	dataList, ok := edbInfoMappingB.DataList.([]*data_manage.EdbDataList)
	if !ok {
		return nil, a, b, r, fmt.Errorf("数据类型转换失败")
	}

	// 指标B数据补充
	// 新建一个切片来保存补充的数据
	var replenishDataList []*data_manage.EdbDataList

	for index := 0; index < len(dataList)-1; index++ {
		// 获取当前数据和下一个数据
		beforeIndexData := dataList[index]
		afterIndexData := dataList[index+1]

		// 从最早时间开始，补充时间为自然日
		for utils.IsMoreThanOneDay(beforeIndexData.DataTime, afterIndexData.DataTime) {
			// 创建补充数据
			nextDay := utils.GetNextDay(beforeIndexData.DataTime)
			toTime := utils.StringToTime(nextDay)
			replenishIndexData := data_manage.EdbDataList{
				DataTime:      nextDay, // 计算下一个自然日
				DataTimestamp: toTime.UnixMilli(),
				Value:         beforeIndexData.Value, // 可以选择使用前一天的值，或者其他逻辑来计算值
			}

			// 将补充数据加入补充数据列表
			replenishDataList = append(replenishDataList, &replenishIndexData)

			// 更新 beforeIndexData 为新创建的补充数据
			beforeIndexData = &replenishIndexData
		}
	}

	// 将补充数据插入原始数据列表
	dataList = append(dataList, replenishDataList...)

	// 排序
	sort.Sort(ByDataTime(dataList))

	// 拟合残差 计算a,b
	var coordinateList []utils.Coordinate
	var replenishADataList []*data_manage.EdbDataList
	var replenishBDataList []*data_manage.EdbDataList
	if req.ResidualType == 2 {
		//

		// 因变量指标也转换为日度
		for index := 0; index < len(fullADataList)-1; index++ {
			// 获取当前数据和下一个数据
			beforeIndexData := fullADataList[index]
			afterIndexData := fullADataList[index+1]

			replenishADataList = append(replenishADataList, beforeIndexData)
			// 从最早时间开始，补充时间为自然日
			if utils.IsMoreThanOneDay(beforeIndexData.DataTime, afterIndexData.DataTime) {
				for {
					// 创建补充数据
					nextDay := utils.GetNextDay(beforeIndexData.DataTime)
					toTime := utils.StringToTime(nextDay)
					replenishIndexData := data_manage.EdbDataList{
						DataTime:      nextDay, // 计算下一个自然日
						DataTimestamp: toTime.UnixMilli(),
						Value:         beforeIndexData.Value, // 可以选择使用前一天的值，或者其他逻辑来计算值
					}

					// 将补充数据加入补充数据列表
					replenishADataList = append(replenishADataList, &replenishIndexData)

					// 更新 beforeIndexData 为新创建的补充数据
					beforeIndexData = &replenishIndexData

					// 检查是否还需要继续补充数据
					if !utils.IsMoreThanOneDay(beforeIndexData.DataTime, afterIndexData.DataTime) {
						break
					}
				}
			}
		}
		replenishADataList = append(replenishADataList, fullADataList[len(fullADataList)-1])

		// 自变量指标也转换为日度
		for index := 0; index < len(fullBDataList)-1; index++ {
			// 获取当前数据和下一个数据
			beforeIndexData := fullBDataList[index]
			afterIndexData := fullBDataList[index+1]

			replenishBDataList = append(replenishBDataList, beforeIndexData)
			// 从最早时间开始，补充时间为自然日
			if utils.IsMoreThanOneDay(beforeIndexData.DataTime, afterIndexData.DataTime) {
				for {
					// 创建补充数据
					nextDay := utils.GetNextDay(beforeIndexData.DataTime)
					toTime := utils.StringToTime(nextDay)
					replenishIndexData := data_manage.EdbDataList{
						DataTime:      nextDay, // 计算下一个自然日
						DataTimestamp: toTime.UnixMilli(),
						Value:         beforeIndexData.Value, // 可以选择使用前一天的值，或者其他逻辑来计算值
					}

					// 将补充数据加入补充数据列表
					replenishBDataList = append(replenishBDataList, &replenishIndexData)

					// 更新 beforeIndexData 为新创建的补充数据
					beforeIndexData = &replenishIndexData

					// 检查是否还需要继续补充数据
					if !utils.IsMoreThanOneDay(beforeIndexData.DataTime, afterIndexData.DataTime) {
						break
					}
				}
			}
		}
		replenishBDataList = append(replenishBDataList, fullBDataList[len(fullBDataList)-1])

		// replenishADataList --> map
		replenishADataMap := make(map[string]*data_manage.EdbDataList)
		for _, indexData := range replenishADataList {
			if (utils.StringToTime(indexData.DataTime).After(utils.StringToTime(startDate)) || utils.StringToTime(indexData.DataTime).Equal(utils.StringToTime(startDate))) && (endDate == "" || utils.StringToTime(indexData.DataTime).Before(utils.StringToTime(endDate))) {
				replenishADataMap[indexData.DataTime] = indexData
			}
		}

		for _, indexData := range replenishBDataList {
			if _, ok = replenishADataMap[indexData.DataTime]; ok {

				coordinate := utils.Coordinate{
					X: indexData.Value,
					Y: replenishADataMap[indexData.DataTime].Value,
				}
				coordinateList = append(coordinateList, coordinate)
			}
		}
		a, b = utils.GetLinearResult(coordinateList)
		r = utils.ComputeCorrelation(coordinateList)
	}

	// 填充映射指标值 使得时间长度一致
	dataList = FillDataBList(dataList, edbInfoMappingA)

	// 根据指标A的时间key，在B的映射指标中筛选出对应的值
	var dataBList []*data_manage.EdbDataList

	var indexMax, indexMin float64

	if len(dataList) > 0 {
		indexMax = dataList[0].Value
		indexMin = dataList[0].Value
		for _, indexData := range dataList {
			if _, ok := indexADataMap[indexData.DataTime]; ok {
				indexDataCopy := *indexData

				// 计算指标B映射值
				indexDataCopy.Value = math.Round((a*indexData.Value+b)*10000) / 10000

				// 比较最大值
				if indexData.Value > indexMax {
					indexMax = indexData.Value
				}

				// 比较最小值
				if indexData.Value < indexMin {
					indexMin = indexData.Value
				}

				// 将副本添加到 dataBList
				dataBList = append(dataBList, &indexDataCopy)
			}
		}
	}

	mappingEdbList := make([]residual_analysis_model.ResidualAnalysisChartEdbInfoMapping, len(originalEdbList))
	copy(mappingEdbList, originalEdbList)

	for i, mapping := range mappingEdbList {
		if mapping.EdbInfoId != req.EdbInfoIdA {
			mappingEdbList[i].EdbInfoId = 0
			mappingEdbList[i].EdbCode = ""
			mappingEdbList[i].IsAxis = 1
			mappingEdbList[i].EdbName = edbInfoMappingB.EdbName + "映射" + edbInfoMappingA.EdbName
			if req.IndexType == 2 {
				if req.LeadValue > 0 {
					mappingEdbList[i].EdbName = edbInfoMappingB.EdbName + "映射" + edbInfoMappingA.EdbName + "（领先" + strconv.Itoa(req.LeadValue) + req.LeadFrequency + "）"
				}
			}
			mappingEdbList[i].DataList = dataBList
			mappingEdbList[i].MinValue = indexMin
			mappingEdbList[i].MaxValue = indexMax
		}
	}
	return mappingEdbList, a, b, r, nil
}

// FillDataBList 填充B的数据 使得与A的时间保持一致
func FillDataBList(dataList []*data_manage.EdbDataList, edbInfoMappingA *data_manage.ChartEdbInfoMapping) []*data_manage.EdbDataList {
	dataAList, ok := edbInfoMappingA.DataList.([]*data_manage.EdbDataList)
	if !ok {
		return nil
	}

	for utils.StringToTime(dataList[len(dataList)-1].DataTime).Before(utils.StringToTime(dataAList[len(dataAList)-1].DataTime)) {
		// 使用A的时间填充时间差
		timeDiff := utils.GetNextDayN(dataList[len(dataList)-1].DataTime, 1)

		// 创建新的数据点并填充 前值填充
		newDataPoint := &data_manage.EdbDataList{
			DataTime:      timeDiff,
			Value:         dataList[len(dataList)-1].Value,
			DataTimestamp: utils.StringToTime(timeDiff).UnixMilli(),
		}

		// 将新数据点添加到dataList末尾
		dataList = append(dataList, newDataPoint)
	}

	return dataList
}

type ByDataTime []*data_manage.EdbDataList

func (a ByDataTime) Len() int {
	return len(a)
}

func (a ByDataTime) Swap(i, j int) {
	a[i], a[j] = a[j], a[i]
}

func (a ByDataTime) Less(i, j int) bool {
	t1 := utils.StringToTime(a[i].DataTime)
	t2 := utils.StringToTime(a[j].DataTime)
	return t1.Before(t2)
}

func fillOriginalChart(req residual_analysis_model.ResidualAnalysisReq, mappingList []*data_manage.ChartEdbInfoMapping, startDate string, endDate string, edbInfoMappingA *data_manage.ChartEdbInfoMapping, edbInfoMappingB *data_manage.ChartEdbInfoMapping, originalEdbList []residual_analysis_model.ResidualAnalysisChartEdbInfoMapping) ([]residual_analysis_model.ResidualAnalysisChartEdbInfoMapping, []*data_manage.EdbDataList, []*data_manage.EdbDataList, error) {

	var fullADataList, fullBDataList []*data_manage.EdbDataList
	for _, v := range mappingList {
		var edbInfoMapping residual_analysis_model.ResidualAnalysisChartEdbInfoMapping
		edbInfoMapping.EdbInfoType = 1
		edbInfoMapping.IsOrder = false
		edbInfoMapping.IsAxis = 1
		edbInfoMapping.ChartColor = `#00F`
		edbInfoMapping.ChartWidth = 3
		edbInfoMapping.EdbName = v.EdbName

		// 获取图表中的指标数据
		dataList, err := data_manage.GetEdbDataList(v.Source, v.SubSource, v.EdbInfoId, startDate, endDate)
		if err != nil {
			return nil, nil, nil, fmt.Errorf("获取指标数据失败，Err:%s", err.Error())
		}
		// 重新获取指标数据 产品要求需要和计算指标-拟合残差逻辑保持一致
		fullDataList, err := data_manage.GetEdbDataList(v.Source, v.SubSource, v.EdbInfoId, "", "")
		if err != nil {
			return nil, nil, nil, fmt.Errorf("获取指标数据失败，Err:%s", err.Error())
		}

		if v.EdbInfoId == req.EdbInfoIdB {
			edbInfoMapping.LeadValue = req.LeadValue
			edbInfoMapping.LeadUnit = req.LeadFrequency
			edbInfoMapping.EdbInfoType = req.IndexType
			edbInfoMapping.IsOrder = req.IsOrder
			edbInfoMapping.IsAxis = 0
			edbInfoMapping.ChartColor = `#F00`
			edbInfoMapping.ChartWidth = 1

			// 领先指标 dataList进行数据处理
			if req.IndexType == 2 {
				if req.LeadValue < 0 {
					return nil, nil, nil, fmt.Errorf("领先值不能小于0")
				} else if req.LeadValue > 0 {
					edbInfoMapping.EdbName = v.EdbName + "（领先" + strconv.Itoa(req.LeadValue) + req.LeadFrequency + "）"
					for _, indexData := range dataList {
						switch req.LeadFrequency {
						case "天":
							indexData.DataTime = utils.GetNextDayN(indexData.DataTime, req.LeadValue)
						case "周":
							indexData.DataTime = utils.GetNextDayN(indexData.DataTime, req.LeadValue*7)
						case "月":
							indexData.DataTime = utils.TimeToString(utils.AddDate(utils.StringToTime(indexData.DataTime), 0, req.LeadValue), utils.YearMonthDay)
						case "季":
							indexData.DataTime = utils.TimeToString(utils.AddDate(utils.StringToTime(indexData.DataTime), 0, req.LeadValue*3), utils.YearMonthDay)
						case "年":
							indexData.DataTime = utils.TimeToString(utils.AddDate(utils.StringToTime(indexData.DataTime), req.LeadValue, 0), utils.YearMonthDay)
						}
						indexData.DataTimestamp = utils.StringToTime(indexData.DataTime).UnixMilli()
					}
				}
			}

			edbInfoMappingB.DataList = dataList
			fullBDataList = fullDataList
		} else {
			edbInfoMappingA.DataList = dataList
			fullADataList = fullDataList
		}
		edbInfoMapping.EdbInfoId = v.EdbInfoId
		edbInfoMapping.EdbCode = v.EdbCode
		edbInfoMapping.Unit = v.Unit
		edbInfoMapping.Frequency = v.Frequency
		edbInfoMapping.Source = v.Source
		edbInfoMapping.SourceName = v.SourceName
		edbInfoMapping.MinValue = v.MinValue
		edbInfoMapping.MaxValue = v.MaxValue
		edbInfoMapping.LatestDate = v.LatestDate
		edbInfoMapping.LatestValue = v.LatestValue

		edbInfoMapping.DataList = dataList
		originalEdbList = append(originalEdbList, edbInfoMapping)
	}
	return originalEdbList, fullADataList, fullBDataList, nil
}

func ContrastPreview(indexCode string) (residual_analysis_model.ResidualAnalysisChartEdbInfoMapping, error) {
	var condition string
	var pars []interface{}

	if indexCode != "" {
		condition += " and edb_code=?"
		pars = append(pars, indexCode)
	}

	edbInfo, err := data_manage.GetEdbInfoByCondition(condition, pars)
	if err != nil {
		return residual_analysis_model.ResidualAnalysisChartEdbInfoMapping{}, err
	}
	if edbInfo == nil {
		return residual_analysis_model.ResidualAnalysisChartEdbInfoMapping{}, fmt.Errorf("指标不存在")
	}

	dataList, err := data_manage.GetEdbDataList(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbInfoId, "", "")

	var resp residual_analysis_model.ResidualAnalysisChartEdbInfoMapping
	resp.EdbInfoId = edbInfo.EdbInfoId
	resp.EdbCode = edbInfo.EdbCode
	resp.ChartColor = "#F00"
	resp.SourceName = edbInfo.SourceName
	resp.EdbName = edbInfo.EdbName
	resp.Unit = edbInfo.Unit
	resp.Frequency = edbInfo.Frequency
	resp.MinValue = edbInfo.MinValue
	resp.MaxValue = edbInfo.MaxValue
	resp.DataList = dataList
	return resp, nil
}

func SaveResidualAnalysis(req residual_analysis_model.ResidualAnalysisIndexSaveReq, sysUser *system.Admin) error {

	// 验证分类是否存在
	classifyCount, err := data_manage.GetEdbClassifyCountById(req.ClassifyId)
	if err != nil {
		return err
	}
	if classifyCount <= 0 {
		return fmt.Errorf("分类不存在")
	}

	// 校验名称是否重复
	var condition string
	var pars []interface{}

	condition += " and source = ? AND edb_name=?"
	pars = append(pars, req.Source, req.EdbName)

	edbInfoByCondition, err := data_manage.GetEdbInfoByCondition(condition, pars)
	if err != nil && err.Error() != utils.ErrNoRow() {
		return err
	}

	// 获取指标数据最大值 最小值 最后更新时间 最后更新时间对应的值 开始时间 最后时间
	var indexMax, indexMin, indexLatestValue float64
	var indexLatestDate, startDate string
	if len(req.DataList) > 0 {
		latestTime, _ := time.Parse(utils.YearMonthDay, req.DataList[0].DataTime)
		firstTime, _ := time.Parse(utils.YearMonthDay, req.DataList[0].DataTime)
		for _, data := range req.DataList {
			// 比较最大值
			if data.Value > indexMax {
				indexMax = data.Value
			}

			// 比较最小值
			if data.Value < indexMin {
				indexMin = data.Value
			}

			// 比较最新时间和对应值
			currentTime, err := time.Parse(utils.YearMonthDay, data.DataTime)
			if err != nil {
				// 时间解析失败，跳过此项
				continue
			}

			// 如果当前时间更晚
			if currentTime.After(latestTime) {
				latestTime = currentTime
				indexLatestDate = data.DataTime
				indexLatestValue = data.Value
			}

			// 取最小时间
			if currentTime.Before(firstTime) {
				firstTime = currentTime
				startDate = data.DataTime
			}
		}
	}

	// 更新保存指标和配置的映射关系
	mappingList, err := residual_analysis_model.GetConfigMappingListByConfigId(req.ConfigId)
	if err != nil {
		return err
	}

	// 判断是更新还是修改 看指标配置映射中，是否存在对应指标 存在 则更新 不存在 则新增
	var edbInfoMapping residual_analysis_model.CalculateResidualAnalysisConfigMapping
	for _, mapping := range mappingList {
		if req.IndexType == mapping.IndexType && req.IndexType != 0 {
			edbInfoMapping = mapping
		}
	}

	var edbInfoId int64
	var edbCode string
	// 更新or新增
	if edbInfoMapping.EdbInfoId > 0 {
		// 查询指标库指标
		edbInfo, err := data_manage.GetEdbInfoById(int(edbInfoMapping.EdbInfoId))
		if err != nil {
			return err
		}
		if edbInfo == nil {
			return fmt.Errorf("指标不存在")
		}
		edbInfoId = int64(edbInfo.EdbInfoId)
		edbCode = edbInfo.EdbCode

		if edbInfoByCondition != nil && edbInfoByCondition.EdbInfoId != edbInfo.EdbInfoId {
			return fmt.Errorf("指标名称重复")
		}

		// 须补充更新指标最大值，最小值，数据最新时间，数据最新值
		edbInfo.StartDate = startDate
		edbInfo.EndDate = indexLatestDate
		edbInfo.MaxValue = indexMax
		edbInfo.MinValue = indexMin
		edbInfo.LatestDate = indexLatestDate
		edbInfo.LatestValue = indexLatestValue
		edbInfo.Unit = req.Unit
		edbInfo.Frequency = req.Frequency
		edbInfo.ClassifyId = req.ClassifyId
		edbInfo.EdbName = req.EdbName
		err = edbInfo.Update([]string{"min_value", "max_value", "latest_date", "latest_value", "unit", "frequency", "classify_id", "edb_name"})
		if err != nil {
			return err
		}

		// 删除对应得指标数据
		err = residual_analysis_model.DeleteResidualAnalysisDataByEdbCode(edbInfo.EdbCode)
		if err != nil {
			return fmt.Errorf("删除指标数据失败")
		}
	} else {
		if edbInfoByCondition != nil {
			return fmt.Errorf("指标名称重复")
		}

		// 新增指标
		edbCode, err = utils.GenerateEdbCode(1, "")
		if err != nil {
			return err
		}

		timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)

		edbInfoId, err = data_manage.AddEdbInfo(&data_manage.EdbInfo{
			EdbCode:         edbCode,
			UniqueCode:      utils.MD5(utils.CHART_PREFIX + "_" + timestamp),
			EdbName:         req.EdbName,
			EdbNameEn:       req.EdbNameEn,
			ClassifyId:      req.ClassifyId,
			EdbType:         req.EdbType,
			Unit:            req.Unit,
			UnitEn:          req.UnitEn,
			Frequency:       req.Frequency,
			Source:          req.Source,
			SourceName:      "残差分析",
			Calendar:        req.Calendar,
			SysUserRealName: sysUser.RealName,
			SysUserId:       sysUser.AdminId,
			LatestDate:      indexLatestDate,
			LatestValue:     indexLatestValue,
			MinValue:        indexMin,
			MaxValue:        indexMax,
			CreateTime:      time.Now(),
			ModifyTime:      time.Now(),
		})
		if err != nil {
			return err
		}

		// 新增指标配置关系
		_, err = residual_analysis_model.SaveConfigMapping(residual_analysis_model.CalculateResidualAnalysisConfigMapping{
			CalculateResidualAnalysisConfigId: req.ConfigId,
			EdbInfoId:                         edbInfoId,
			ResidualType:                      req.ResidualType,
			IndexType:                         req.IndexType,
			CreateTime:                        time.Now(),
			ModifyTime:                        time.Now(),
		})
		if err != nil {
			return err
		}

		// 保存溯源信息
		{
			fromEdbInfoList, err := data_manage.GetEdbInfoByIdList([]int{req.EdbInfoIdA, req.EdbInfoIdB})
			if err != nil {
				return fmt.Errorf("获取失败")
			}

			edbCalculateMappingInfoList := make([]*data_manage.EdbInfoCalculateMapping, 0, len(fromEdbInfoList))

			for _, fromEdbInfo := range fromEdbInfoList {
				// 创建新对象并直接使用指针
				edbCalculateMappingInfo := &data_manage.EdbInfoCalculateMapping{
					EdbInfoId:      int(edbInfoId),
					Source:         req.Source,
					SourceName:     "残差分析",
					EdbCode:        edbCode,
					FromEdbInfoId:  fromEdbInfo.EdbInfoId,
					FromEdbCode:    fromEdbInfo.EdbCode,
					FromEdbName:    fromEdbInfo.EdbName,
					FromSource:     fromEdbInfo.Source,
					FromSourceName: fromEdbInfo.SourceName,
					CreateTime:     time.Now(),
					ModifyTime:     time.Now(),
				}

				edbCalculateMappingInfoList = append(edbCalculateMappingInfoList, edbCalculateMappingInfo)
			}

			err = data_manage.AddEdbInfoCalculateMappingMulti(edbCalculateMappingInfoList)
			if err != nil {
				return fmt.Errorf("保存溯源信息失败，Err:" + err.Error())
			}
		}
	}

	// 新增数据
	for i := range req.DataList {
		req.DataList[i].EdbDataId = 0
		req.DataList[i].EdbInfoId = int(edbInfoId)
		req.DataList[i].EdbCode = edbCode
	}
	_, err = residual_analysis_model.AddResidualAnalysisData(req.DataList)
	if err != nil {
		return err
	}

	// 新增自变量 因变量与配置得关系 配置中不存在该指标，则新增
	var indexMap = make(map[int64]residual_analysis_model.CalculateResidualAnalysisConfigMapping)
	for _, mapping := range mappingList {
		indexMap[mapping.EdbInfoId] = mapping
	}

	if _, ok := indexMap[int64(req.EdbInfoIdA)]; !ok {
		_, err = residual_analysis_model.SaveConfigMapping(residual_analysis_model.CalculateResidualAnalysisConfigMapping{
			CalculateResidualAnalysisConfigId: req.ConfigId,
			EdbInfoId:                         int64(req.EdbInfoIdA),
			ResidualType:                      req.ResidualType,
			IndexType:                         3,
			CreateTime:                        time.Now(),
			ModifyTime:                        time.Now(),
		})
		if err != nil {
			return err
		}
	}
	if _, ok := indexMap[int64(req.EdbInfoIdB)]; !ok {
		_, err = residual_analysis_model.SaveConfigMapping(residual_analysis_model.CalculateResidualAnalysisConfigMapping{
			CalculateResidualAnalysisConfigId: req.ConfigId,
			EdbInfoId:                         int64(req.EdbInfoIdB),
			ResidualType:                      req.ResidualType,
			IndexType:                         4,
			CreateTime:                        time.Now(),
			ModifyTime:                        time.Now(),
		})
		if err != nil {
			return err
		}
	}

	//添加es
	data.AddOrEditEdbInfoToEs(int(edbInfoId))

	return nil
}

func ResidualAnalysisDetail(edbInfoId int) (residual_analysis_model.ResidualAnalysisDetailResp, error) {
	// 通过指标配置映射表 拿到配置id，再获取关联的所有指标信息
	var condition string
	var pars []interface{}

	condition += " and edb_info_id=?"
	pars = append(pars, edbInfoId)

	mappingList, err := residual_analysis_model.GetConfigMappingListByCondition(condition, pars)
	if err != nil {
		return residual_analysis_model.ResidualAnalysisDetailResp{}, err
	}

	if len(mappingList) <= 0 {
		return residual_analysis_model.ResidualAnalysisDetailResp{}, fmt.Errorf("指标不存在")
	}

	mapping := mappingList[0]

	configMappingList, err := residual_analysis_model.GetConfigMappingListByConfigId(mapping.CalculateResidualAnalysisConfigId)
	if err != nil {
		return residual_analysis_model.ResidualAnalysisDetailResp{}, err
	}

	var edbInfoIdList []int64
	var edbInfoMap = make(map[int64]residual_analysis_model.CalculateResidualAnalysisConfigMapping)
	var mappgingFlag = false
	var residualFlag = false
	for _, v := range configMappingList {
		edbInfoIdList = append(edbInfoIdList, v.EdbInfoId)

		edbInfoMap[v.EdbInfoId] = v

		if v.IndexType == 1 {
			mappgingFlag = true
		} else if v.IndexType == 2 {
			residualFlag = true
		}
	}

	condition = ""
	pars = []interface{}{}

	condition += ` and edb_info_id in(` + utils.GetOrmInReplace(len(edbInfoIdList)) + `)`
	for _, id := range edbInfoIdList {
		pars = append(pars, id)
	}

	edbInfoList, err := data_manage.GetEdbInfoListByCond(condition, pars)
	if err != nil {
		return residual_analysis_model.ResidualAnalysisDetailResp{}, err
	}

	// 获取配置
	configInfo, err := residual_analysis_model.GetResidualAnalysisConfigById(mapping.CalculateResidualAnalysisConfigId)
	if err != nil {
		return residual_analysis_model.ResidualAnalysisDetailResp{}, err
	}

	var edbInfoListResp []*residual_analysis_model.DetailEdbInfoList
	var dependentEdbInfo residual_analysis_model.DetailEdbInfoList
	var independentEdbInfo residual_analysis_model.DetailEdbInfoList
	for _, edbInfo := range edbInfoList {
		var indexType int
		if _, ok := edbInfoMap[int64(edbInfo.EdbInfoId)]; ok {
			indexType = edbInfoMap[int64(edbInfo.EdbInfoId)].IndexType
		}

		info := residual_analysis_model.DetailEdbInfoList{
			EdbInfoId:   edbInfo.EdbInfoId,
			EdbInfoType: edbInfo.EdbInfoType,
			IndexType:   indexType,
			SourceName:  edbInfo.SourceName,
			Source:      edbInfo.Source,
			EdbCode:     edbInfo.EdbCode,
			EdbName:     edbInfo.EdbName,
			EdbNameEn:   edbInfo.EdbNameEn,
			Unit:        edbInfo.Unit,
			UnitEn:      edbInfo.UnitEn,
			Frequency:   edbInfo.Frequency,
			FrequencyEn: edbInfo.FrequencyEn,
			ClassifyId:  edbInfo.ClassifyId,
		}
		edbInfoListResp = append(edbInfoListResp, &info)

		if indexType == 3 {
			dependentEdbInfo = info
		} else if indexType == 4 {
			independentEdbInfo = info
		}
	}

	// 补充表格中 映射指标或者残差指标
	if mappgingFlag && !residualFlag {
		info := residual_analysis_model.DetailEdbInfoList{
			IndexType:   2,
			EdbName:     independentEdbInfo.EdbName + "映射残差/" + dependentEdbInfo.EdbName,
			EdbNameEn:   dependentEdbInfo.EdbNameEn,
			Unit:        dependentEdbInfo.Unit,
			UnitEn:      dependentEdbInfo.UnitEn,
			Frequency:   dependentEdbInfo.Frequency,
			FrequencyEn: dependentEdbInfo.FrequencyEn,
			ClassifyId:  dependentEdbInfo.ClassifyId,
		}
		edbInfoListResp = append(edbInfoListResp, &info)
	} else if !mappgingFlag && residualFlag {
		info := residual_analysis_model.DetailEdbInfoList{
			IndexType:   1,
			EdbName:     dependentEdbInfo.EdbName + "映射" + independentEdbInfo.EdbName,
			EdbNameEn:   dependentEdbInfo.EdbNameEn,
			Unit:        dependentEdbInfo.Unit,
			UnitEn:      dependentEdbInfo.UnitEn,
			Frequency:   dependentEdbInfo.Frequency,
			FrequencyEn: dependentEdbInfo.FrequencyEn,
			ClassifyId:  dependentEdbInfo.ClassifyId,
		}
		edbInfoListResp = append(edbInfoListResp, &info)
	}

	resp := residual_analysis_model.ResidualAnalysisDetailResp{
		ConfigInfo:   &configInfo,
		EdbInfoList:  edbInfoListResp,
		ResidualType: mapping.ResidualType,
	}

	return resp, nil
}

func SaveResidualAnalysisConfig(req residual_analysis_model.ResidualAnalysisReq, sysUser *system.Admin) (int64, error) {

	config := residual_analysis_model.ResidualAnalysisConfigVo{
		DateType:         req.DateType,
		StartDate:        req.StartDate,
		EndDate:          req.EndDate,
		IsOrder:          req.IsOrder,
		IndexType:        req.IndexType,
		LeadValue:        req.LeadValue,
		LeadFrequency:    req.LeadFrequency,
		LeftIndexMin:     req.LeftIndexMin,
		LeftIndexMax:     req.LeftIndexMax,
		RightIndexMin:    req.RightIndexMin,
		RightIndexMax:    req.RightIndexMax,
		ResidualIndexMin: req.ResidualIndexMin,
		ResidualIndexMax: req.ResidualIndexMax,
		ContrastIndexMin: req.ContrastIndexMin,
		ContrastIndexMax: req.ContrastIndexMax,
	}

	// 转换为json格式
	configJson, err := json.Marshal(config)
	if err != nil {
		return 0, err
	}

	// 新增or更新
	/*
		var condition string
			var pars []interface{}
		if req.EdbInfoId > 0 {
			condition += " and edb_info_id=?"
			pars = append(pars, req.EdbInfoId)
			configMappings, err := residual_analysis_model.GetConfigMappingListByCondition(condition, pars)
			if err != nil {
				return 0, err
			}
			if len(configMappings) > 0 {
				mapping := configMappings[0]
				configInfo, err := residual_analysis_model.GetResidualAnalysisConfigById(mapping.CalculateResidualAnalysisConfigId)
				if err != nil {
					return 0, err
				}
				configInfo.Config = string(configJson)
				err = residual_analysis_model.UpdateResidualAnalysisConfig(configInfo)
				if err != nil {
					return 0, err
				}
			}
		}*/
	var configId int64
	if req.ConfigId > 0 {
		configInfo, err := residual_analysis_model.GetResidualAnalysisConfigById(req.ConfigId)
		if err != nil {
			return 0, err
		}
		if configInfo.CalculateResidualAnalysisConfigId == 0 {
			return 0, fmt.Errorf("未找到配置信息")
		}

		configId = int64(configInfo.CalculateResidualAnalysisConfigId)
		configInfo.Config = string(configJson)

		err = residual_analysis_model.UpdateResidualAnalysisConfig(configInfo)
		if err != nil {
			return 0, err
		}
	} else {
		analysisConfig := residual_analysis_model.CalculateResidualAnalysisConfig{
			Config:     string(configJson),
			SysUserId:  sysUser.AdminId,
			CreateTime: time.Now(),
			ModifyTime: time.Now(),
		}

		configId, err = residual_analysis_model.SaveResidualAnalysisConfig(analysisConfig)
		if err != nil {
			return 0, err
		}
	}

	return configId, nil
}

func CheckResidualAnalysisExist(configId int) (int64, error) {

	configMappingList, err := residual_analysis_model.GetConfigMappingListByConfigId(configId)
	if err != nil {
		return 0, err
	}

	var configMapping residual_analysis_model.CalculateResidualAnalysisConfigMapping
	for _, mapping := range configMappingList {
		if mapping.IndexType == 2 {
			configMapping = mapping
		}
	}

	return configMapping.EdbInfoId, nil
}