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/utils"
	"fmt"
	"math"
	"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.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, 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)
	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(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 = a
		resp.B = b
		resp.R = r
		resp.R2 = R2
	}

	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(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")
	}
	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))

	for _, indexData := range edbData {
		if dataB, ok := indexDataBMap[indexData.DataTime]; ok {
			valueB = dataB.Value
		} else {
			valueB = 0
		}

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

		// 补全残差值
		indexData.Value = indexData.Value - valueB

		// 残差平方和
		residualQuadraticSum += math.Pow(indexData.Value, 2)
	}
	// 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 = edbData
			mappingEdb[i].EdbName = edbInfoMappingA.EdbName + "映射残差/" + edbInfoMappingB.EdbName
			mappingEdb[i].IsAxis = 1
			mappingEdb[i].ChartColor = `#00F`
			mappingEdb[i].IsOrder = false
		} 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) ([]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
		}
	}

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

	// 领先指标 dataList进行数据处理
	if req.IndexType == 2 {
		if req.LeadValue < 0 {
			return nil, a, b, r, fmt.Errorf("领先值不能小于0")
		} else if req.LeadValue > 0 {
			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)
				}
			}
		}
	}

	// 指标B数据补充
	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
		if utils.IsMoreThanOneDay(beforeIndexData.DataTime, afterIndexData.DataTime) {
			// 创建补充数据
			replenishIndexData := data_manage.EdbDataList{
				DataTime:      utils.GetNextDay(beforeIndexData.DataTime),
				DataTimestamp: time.Now().UnixMilli(),
				Value:         beforeIndexData.Value,
			}

			// 将补充数据插入到数据列表
			dataList = append(dataList, &replenishIndexData)
		}
	}

	// 拟合残差 计算a,b
	var coordinateList []utils.Coordinate
	if req.ResidualType == 2 {
		for _, indexData := range dataList {
			if _, ok := indexADataMap[indexData.DataTime]; ok {

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

	// 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

	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

			// 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
			mappingEdbList[i].DataList = dataBList
		}
	}
	return mappingEdbList, a, b, r, nil
}

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, error) {
	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

		// 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, 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

			edbInfoMappingB.DataList = dataList
		} else {
			edbInfoMappingA.DataList = dataList
		}
		edbInfoMapping.EdbInfoId = v.EdbInfoId
		edbInfoMapping.EdbName = v.EdbName
		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, 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
	var indexMax, indexMin, indexLatestValue float64
	var indexLatestDate string
	if len(req.DataList) > 0 {
		latestTime, _ := 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
			}
		}
	}

	// 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.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
		}
	}

	// 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
		}
	}

	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
}