Browse Source

预测拟合残差

xiexiaoyuan 2 years ago
parent
commit
e28b4cd27e
3 changed files with 657 additions and 19 deletions
  1. 37 18
      controllers/base_from_predict_calculate.go
  2. 1 1
      models/db.go
  3. 619 0
      models/predict_edb_data_calculate_nhcc.go

+ 37 - 18
controllers/base_from_predict_calculate.go

@@ -560,19 +560,6 @@ func (this *PredictCalculateController) CalculateBatchSave() {
 		return
 	}
 
-	// 来源预测指标信息
-	fromEdbInfo, err := models.GetEdbInfoById(req.FromEdbInfoId)
-	if err != nil {
-		br.Msg = "获取指标信息失败"
-		br.ErrMsg = "获取指标信息失败:Err:" + err.Error()
-		return
-	}
-	if fromEdbInfo.EdbInfoType != 1 {
-		br.Msg = "来源指标不是预测指标"
-		br.ErrMsg = "来源指标不是预测指标"
-		return
-	}
-
 	//生成指标编码
 	randStr := utils.GetRandDigit(4)
 	edbCode := `C` + time.Now().Format("060102") + randStr
@@ -589,10 +576,10 @@ func (this *PredictCalculateController) CalculateBatchSave() {
 	var latestValue float64  // 最近实际数据的值
 
 	// 基础指标id
-	//fromEdbInfoId := req.FromEdbInfoId
+	fromEdbInfoId := req.FromEdbInfoId
 
 	var formulaInt int
-	//var nhccDate models.NhccDate // 拟合残差的日期
+	var nhccDate models.NhccDate // 拟合残差的日期
 	switch req.Source {
 	case utils.DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS, utils.DATA_SOURCE_PREDICT_CALCULATE_HBZ, utils.DATA_SOURCE_PREDICT_CALCULATE_HCZ, utils.DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT, utils.DATA_SOURCE_PREDICT_CALCULATE_CJJX:
 		if req.Formula == "" {
@@ -614,7 +601,7 @@ func (this *PredictCalculateController) CalculateBatchSave() {
 		}
 	case utils.DATA_SOURCE_PREDICT_CALCULATE_NHCC: //拟合残差指标
 		//指标校验
-		/*if len(req.EdbInfoIdArr) != 2 {
+		if len(req.EdbInfoIdArr) != 2 {
 			br.Msg = "选择的指标异常,请重新选择"
 			return
 		}
@@ -642,7 +629,23 @@ func (this *PredictCalculateController) CalculateBatchSave() {
 			return
 		}
 		nhccDate.StartDate = startDate
-		nhccDate.EndDate = endDate*/
+		nhccDate.EndDate = endDate
+	}
+	if fromEdbInfoId <= 0 {
+		br.Msg = "请选择指标"
+		return
+	}
+	// 来源预测指标信息
+	fromEdbInfo, err := models.GetEdbInfoById(fromEdbInfoId)
+	if err != nil {
+		br.Msg = "获取指标信息失败"
+		br.ErrMsg = "获取指标信息失败:Err:" + err.Error()
+		return
+	}
+	if fromEdbInfo.EdbInfoType != 1 {
+		br.Msg = "来源指标不是预测指标"
+		br.ErrMsg = "来源指标不是预测指标"
+		return
 	}
 
 	if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TBZ {
@@ -748,8 +751,24 @@ func (this *PredictCalculateController) CalculateBatchSave() {
 		}
 		edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateZjpj(&req, fromEdbInfo, secondEdbInfo, edbCode, uniqueCode, adminId, adminName)
 	} else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_CJJX {
-		sourName = "超季节性"
+		sourName = "预测超季节性"
 		edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateCjjx(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, formulaInt)
+	} else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_NHCC {
+		sourName = "预测拟合残差"
+		secondEdbInfoReq := req.EdbInfoIdArr[1]
+		secondEdbInfo, tmpErr := models.GetEdbInfoById(secondEdbInfoReq.EdbInfoId)
+		if tmpErr != nil {
+			br.Msg = "获取因变量的指标信息失败"
+			br.ErrMsg = "获取因变量的指标信息失败:Err:" + tmpErr.Error()
+			return
+		}
+
+		if fromEdbInfo.EdbInfoId == secondEdbInfo.EdbInfoId {
+			br.Msg = "两个指标不允许为同一个"
+			br.ErrMsg = "两个指标不允许为同一个"
+			return
+		}
+		edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateNhcc(&req, fromEdbInfo, secondEdbInfo, edbCode, uniqueCode, nhccDate, adminId, adminName)
 	} else {
 		br.Msg = "无效计算方式"
 		br.ErrMsg = "无效计算方式,source:" + strconv.Itoa(req.Source)

+ 1 - 1
models/db.go

@@ -47,7 +47,7 @@ func init() {
 		new(PredictEdbRuleData),
 		new(EdbDataCalculateNhcc),
 		new(EdbDataPredictCalculateLjztbpj),
-	//	new(EdbDataPredictCalculateNhcc),
+		new(EdbDataPredictCalculateNhcc),
 		new(EdbDataPredictCalculateZjpj),
 	)
 }

+ 619 - 0
models/predict_edb_data_calculate_nhcc.go

@@ -0,0 +1,619 @@
+package models
+
+import (
+	"errors"
+	"fmt"
+	"github.com/beego/beego/v2/client/orm"
+	"github.com/shopspring/decimal"
+	"hongze/hongze_edb_lib/utils"
+	"math"
+	"strings"
+	"time"
+)
+
+// EdbDataPredictCalculateNhcc 拟合残差数据结构体
+type EdbDataPredictCalculateNhcc struct {
+	EdbDataId     int `orm:"column(edb_data_id);pk"`
+	EdbInfoId     int
+	EdbCode       string
+	DataTime      string
+	Value         float64
+	Status        int
+	CreateTime    time.Time
+	ModifyTime    time.Time
+	DataTimestamp int64
+}
+
+// SavePredictCalculateNhcc 新增拟合残差数据
+func SavePredictCalculateNhcc(req *EdbInfoCalculateBatchSaveReq, firstEdbInfo, secondEdbInfo *EdbInfo, edbCode, uniqueCode string, nhccDate NhccDate, sysUserId int, sysUserRealName string) (edbInfo *EdbInfo, latestDateStr string, latestValue float64, err error) {
+	o := orm.NewOrm()
+	to, err := o.Begin()
+	if err != nil {
+		return
+	}
+	defer func() {
+		if err != nil {
+			fmt.Println("SavePredictCalculateNhcc,Err:" + err.Error())
+			_ = to.Rollback()
+		} else {
+			_ = to.Commit()
+		}
+	}()
+	var existItemA, existItemB *EdbInfoCalculateMapping
+	if req.EdbInfoId <= 0 {
+		edbInfo = &EdbInfo{
+			EdbInfoType:      1,
+			SourceName:       "预测拟合残差",
+			Source:           utils.DATA_SOURCE_PREDICT_CALCULATE_NHCC,
+			EdbCode:          edbCode,
+			EdbName:          req.EdbName,
+			EdbNameSource:    req.EdbName,
+			Frequency:        req.Frequency,
+			Unit:             req.Unit,
+			StartDate:        firstEdbInfo.StartDate,
+			EndDate:          firstEdbInfo.EndDate,
+			ClassifyId:       req.ClassifyId,
+			SysUserId:        sysUserId,
+			SysUserRealName:  sysUserRealName,
+			UniqueCode:       uniqueCode,
+			CreateTime:       time.Now(),
+			ModifyTime:       time.Now(),
+			CalculateFormula: req.Formula,
+			EdbType:          2,
+		}
+		newEdbInfoId, tmpErr := to.Insert(edbInfo)
+		if tmpErr != nil {
+			err = tmpErr
+			return
+		}
+		edbInfo.EdbInfoId = int(newEdbInfoId)
+		//第一个指标
+		{
+			existItemA = &EdbInfoCalculateMapping{
+				EdbInfoCalculateMappingId: 0,
+				EdbInfoId:                 edbInfo.EdbInfoId,
+				Source:                    edbInfo.Source,
+				SourceName:                edbInfo.SourceName,
+				EdbCode:                   edbInfo.EdbCode,
+				FromEdbInfoId:             firstEdbInfo.EdbInfoId,
+				FromEdbCode:               firstEdbInfo.EdbCode,
+				FromEdbName:               firstEdbInfo.EdbName,
+				FromSource:                firstEdbInfo.Source,
+				FromSourceName:            firstEdbInfo.SourceName,
+				FromTag:                   "A",
+				MoveValue:                 req.EdbInfoIdArr[0].MoveValue,
+				Sort:                      1,
+				CreateTime:                time.Now(),
+				ModifyTime:                time.Now(),
+			}
+			insertId, tmpErr := to.Insert(existItemA)
+			if tmpErr != nil {
+				err = tmpErr
+				return
+			}
+			existItemA.EdbInfoCalculateMappingId = int(insertId)
+		}
+
+		//第二个指标
+		{
+			existItemB = &EdbInfoCalculateMapping{
+				EdbInfoCalculateMappingId: 0,
+				EdbInfoId:                 edbInfo.EdbInfoId,
+				Source:                    edbInfo.Source,
+				SourceName:                edbInfo.SourceName,
+				EdbCode:                   edbInfo.EdbCode,
+				FromEdbInfoId:             secondEdbInfo.EdbInfoId,
+				FromEdbCode:               secondEdbInfo.EdbCode,
+				FromEdbName:               secondEdbInfo.EdbName,
+				FromSource:                secondEdbInfo.Source,
+				FromSourceName:            secondEdbInfo.SourceName,
+				FromTag:                   "B",
+				MoveValue:                 req.EdbInfoIdArr[1].MoveValue,
+				Sort:                      1,
+				CreateTime:                time.Now(),
+				ModifyTime:                time.Now(),
+			}
+			insertId, tmpErr := to.Insert(existItemB)
+			if tmpErr != nil {
+				err = tmpErr
+				return
+			}
+			existItemB.EdbInfoCalculateMappingId = int(insertId)
+		}
+	} else {
+		edbInfo, err = GetEdbInfoById(req.EdbInfoId)
+		if err != nil {
+			return
+		}
+		nowEdbInfo := *edbInfo // 现在的指标信息
+
+		//修改指标信息
+		edbInfo.EdbName = req.EdbName
+		edbInfo.EdbNameSource = req.EdbName
+		edbInfo.Frequency = req.Frequency
+		edbInfo.Unit = req.Unit
+		edbInfo.ClassifyId = req.ClassifyId
+		edbInfo.CalculateFormula = req.Formula
+		edbInfo.ModifyTime = time.Now()
+		_, err = to.Update(edbInfo, "EdbName", "EdbNameSource", "Frequency", "Unit", "ClassifyId", "CalculateFormula", "ModifyTime")
+		if err != nil {
+			return
+		}
+
+		var existCondition string
+		var existPars []interface{}
+		existCondition += " AND edb_info_id=? "
+		existPars = append(existPars, edbInfo.EdbInfoId)
+
+		//查询出所有的关联指标
+		var existList []*EdbInfoCalculateMapping
+		existList, err = GetEdbInfoCalculateListByCondition(existCondition, existPars)
+		if err != nil {
+			err = fmt.Errorf("判断指标是否改变失败,Err:" + err.Error())
+			return
+		}
+		for _, existItem := range existList {
+			if existItem.FromTag == "A" {
+				existItemA = existItem
+			} else if existItem.FromTag == "B" {
+				existItemB = existItem
+			}
+		}
+		if existItemA == nil {
+			err = errors.New("原自变量指标不存在")
+			return
+		}
+		if existItemB == nil {
+			err = errors.New("原因变量指标不存在")
+			return
+		}
+		// 是否需要删除数据重新计算
+		isNeedCalculateData := false
+
+		// 如果截止日期变更,那么需要重新计算
+		if req.Formula != nowEdbInfo.CalculateFormula {
+			isNeedCalculateData = true
+		}
+		var isDeleteA, isDeleteB bool
+		// 如果指标变了,那么需要删除关系
+		{
+			if existItemA.FromEdbInfoId != firstEdbInfo.EdbInfoId {
+				//删除之前的A指标关联关系
+				sql := ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id = ? and from_edb_info_id = ?`
+				_, err = to.Raw(sql, edbInfo.EdbInfoId, existItemA.FromEdbInfoId).Exec()
+				if err != nil {
+					err = fmt.Errorf("删除指标A关联关系失败,Err:" + err.Error())
+					return
+				}
+				isDeleteA = true
+			}
+			//并重新计算
+			if existItemB.FromEdbInfoId != secondEdbInfo.EdbInfoId {
+				//删除之前的B指标关联关系
+				sql := ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id = ? and from_edb_info_id = ?`
+				_, err = to.Raw(sql, edbInfo.EdbInfoId, existItemB.FromEdbInfoId).Exec()
+				if err != nil {
+					err = fmt.Errorf("删除指标B关联关系失败,Err:" + err.Error())
+					return
+				}
+				isDeleteB = true
+			}
+		}
+		//第一个指标数据
+		{
+			// 如果指标变了,那么需要删除关系,并重新计算
+			if isDeleteA {
+				//添加新的指标关系
+				{
+					existItemA = &EdbInfoCalculateMapping{
+						EdbInfoCalculateMappingId: 0,
+						EdbInfoId:                 edbInfo.EdbInfoId,
+						Source:                    edbInfo.Source,
+						SourceName:                edbInfo.SourceName,
+						EdbCode:                   edbInfo.EdbCode,
+						FromEdbInfoId:             firstEdbInfo.EdbInfoId,
+						FromEdbCode:               firstEdbInfo.EdbCode,
+						FromEdbName:               firstEdbInfo.EdbName,
+						FromSource:                firstEdbInfo.Source,
+						FromSourceName:            firstEdbInfo.SourceName,
+						FromTag:                   "A",
+						MoveValue:                 req.EdbInfoIdArr[0].MoveValue,
+						Sort:                      1,
+						CreateTime:                time.Now(),
+						ModifyTime:                time.Now(),
+					}
+					insertId, tmpErr := to.Insert(existItemA)
+					if tmpErr != nil {
+						err = tmpErr
+						return
+					}
+					existItemA.EdbInfoCalculateMappingId = int(insertId)
+
+					isNeedCalculateData = true
+				}
+			} else if existItemA.MoveValue != req.EdbInfoIdArr[0].MoveValue {
+				// 如果平移天数不一致的话,
+				existItemA.ModifyTime = time.Now()
+				existItemA.MoveValue = req.EdbInfoIdArr[0].MoveValue
+				_, err = to.Update(existItemA, "ModifyTime", "MoveValue")
+				if err != nil {
+					return
+				}
+				isNeedCalculateData = true
+			}
+		}
+
+		//第二个指标数据
+		{
+			// 如果指标变了,那么需要删除关系,并重新计算
+			if isDeleteB {
+				// 添加新的指标关联关系
+				existItemB = &EdbInfoCalculateMapping{
+					EdbInfoCalculateMappingId: 0,
+					EdbInfoId:                 edbInfo.EdbInfoId,
+					Source:                    edbInfo.Source,
+					SourceName:                edbInfo.SourceName,
+					EdbCode:                   edbInfo.EdbCode,
+					FromEdbInfoId:             secondEdbInfo.EdbInfoId,
+					FromEdbCode:               secondEdbInfo.EdbCode,
+					FromEdbName:               secondEdbInfo.EdbName,
+					FromSource:                secondEdbInfo.Source,
+					FromSourceName:            secondEdbInfo.SourceName,
+					FromTag:                   "B",
+					MoveValue:                 req.EdbInfoIdArr[1].MoveValue,
+					Sort:                      2,
+					CreateTime:                time.Now(),
+					ModifyTime:                time.Now(),
+				}
+				insertId, tmpErr := to.Insert(existItemB)
+				if tmpErr != nil {
+					err = tmpErr
+					return
+				}
+				existItemB.EdbInfoCalculateMappingId = int(insertId)
+
+				isNeedCalculateData = true
+			} else if existItemB.MoveValue != req.EdbInfoIdArr[1].MoveValue {
+				// 如果平移天数不一致的话,
+				existItemB.ModifyTime = time.Now()
+				existItemB.MoveValue = req.EdbInfoIdArr[1].MoveValue
+				_, err = to.Update(existItemB, "ModifyTime", "MoveValue")
+				if err != nil {
+					return
+				}
+				isNeedCalculateData = true
+			}
+		}
+
+		// 如果需要重新计算,那么先删除所有的指标数据,然后再重新计算
+		if isNeedCalculateData {
+			// 删除之前所有的指标数据
+			tableName := GetEdbDataTableName(edbInfo.Source)
+			sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? `, tableName)
+			_, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
+			if err != nil {
+				err = fmt.Errorf("删除历史数据失败,Err:" + err.Error())
+				return
+			}
+		}else{
+			return
+		}
+	}
+
+	//拼接数据
+	latestDateStr, latestValue, err = refreshAllPredictCalculateNhcc(to, edbInfo, firstEdbInfo, secondEdbInfo, existItemA, existItemB, nhccDate)
+
+	return
+}
+
+// RefreshAllPredictCalculateNhcc 刷新所有 拟合残差 数据
+func RefreshAllPredictCalculateNhcc(edbInfo *EdbInfo) (latestDateStr string, latestValue float64, err error) {
+	o := orm.NewOrm()
+	to, err := o.Begin()
+	defer func() {
+		if err != nil {
+			fmt.Println("RefreshAllPredictCalculateNhcc,Err:" + err.Error())
+			_ = to.Rollback()
+		} else {
+			_ = to.Commit()
+		}
+	}()
+	//查询关联指标信息
+	var existCondition string
+	var existPars []interface{}
+	existCondition += " AND edb_info_id=? "
+	existPars = append(existPars, edbInfo.EdbInfoId)
+	existList, err := GetEdbInfoCalculateListByCondition(existCondition, existPars)
+	if err != nil {
+		err = fmt.Errorf("判断指标是否改变失败,Err:" + err.Error())
+		return
+	}
+
+	var existItemA, existItemB *EdbInfoCalculateMapping
+	for _, existItem := range existList {
+		if existItem.FromTag == "A" {
+			existItemA = existItem
+		} else if existItem.FromTag == "B" {
+			existItemB = existItem
+		}
+	}
+	if existItemA == nil {
+		err = errors.New("原自变量指标不存在")
+		return
+	}
+	if existItemB == nil {
+		err = errors.New("原因变量指标不存在")
+		return
+	}
+
+	fromEdbInfo, err := GetEdbInfoById(existItemA.FromEdbInfoId)
+	if err != nil {
+		err = fmt.Errorf("GetEdbInfoById Err:" + err.Error())
+		return
+	}
+
+	secondEdbInfo, err := GetEdbInfoById(existItemB.FromEdbInfoId)
+	if err != nil {
+		err = fmt.Errorf("GetEdbInfoById Err:" + err.Error())
+		return
+	}
+	timeList := strings.Split(edbInfo.CalculateFormula, ",")
+	startDate, err := time.ParseInLocation(utils.FormatDate, timeList[0], time.Local)
+	if err != nil {
+		return
+	}
+	endDate, err := time.ParseInLocation(utils.FormatDate, timeList[1], time.Local)
+	if err != nil {
+		return
+	}
+	if endDate.Sub(startDate).Hours() < 48 {
+		return
+	}
+	nhccDate := NhccDate{
+		StartDate: startDate,
+		EndDate:   endDate,
+	}
+	// 刷新数据
+	latestDateStr, latestValue, err = refreshAllPredictCalculateNhcc(to, edbInfo, fromEdbInfo, secondEdbInfo, existItemA, existItemB, nhccDate)
+
+	return
+}
+
+// refreshAllPredictCalculateNhcc 刷新所有 拟合残差 数据
+func refreshAllPredictCalculateNhcc(to orm.TxOrmer, edbInfo, firstEdbInfo, secondEdbInfo *EdbInfo, existItemA, existItemB *EdbInfoCalculateMapping, nhccDate NhccDate) (latestDateStr string, latestValue float64, err error) {
+	var dataList []*EdbDataPredictCalculateNhcc
+	sql := ` SELECT * FROM edb_data_predict_calculate_nhcc WHERE edb_info_id=? ORDER BY data_time DESC `
+	_, err = to.Raw(sql, edbInfo.EdbInfoId).QueryRows(&dataList)
+	if err != nil {
+		return
+	}
+	var dateArr []string
+	dataMap := make(map[string]*EdbDataPredictCalculateNhcc)
+	removeDataTimeMap := make(map[string]int) //需要移除的日期数据
+	for _, v := range dataList {
+		dateArr = append(dateArr, v.DataTime)
+		dataMap[v.DataTime] = v
+		removeDataTimeMap[v.DataTime] = 1
+	}
+
+	addDataList := make([]*EdbDataPredictCalculateNhcc, 0)
+
+	//第一个指标
+	aDataList := make([]EdbInfoSearchData, 0)
+	aDataMap := make(map[string]float64)
+	{
+		/*var condition string
+		var pars []interface{}
+
+		condition += " AND edb_info_id=? "
+		pars = append(pars, existItemA.FromEdbInfoId)
+
+		//第一个指标的数据列表
+		firstDataList, tmpErr := GetEdbDataListAllByTo(to, condition, pars, existItemA.FromSource, 0)
+		if tmpErr != nil {
+
+			return tmpErr
+		}*/
+		var firstDataList []*EdbInfoSearchData
+		firstDataList, err = GetPredictEdbDataListAllByStartDate(firstEdbInfo, 0, "")
+		if err != nil {
+			return
+		}
+		aDataList, aDataMap = handleNhccData(firstDataList, existItemA.MoveValue)
+	}
+
+	//第二个指标
+	bDataList := make([]EdbInfoSearchData, 0)
+	secondDataList := make([]*EdbInfoSearchData, 0)
+	bDataMap := make(map[string]float64)
+	{
+		/*condition = ``
+		pars = make([]interface{}, 0)
+
+		condition += "  AND edb_info_id = ? "
+		pars = append(pars, existItemB.FromEdbInfoId)
+
+		//第二个指标的数据列表
+		secondDataList, err = GetEdbDataListAllByTo(to, condition, pars, existItemB.FromSource, 0)
+		if err != nil {
+			return
+		}*/
+		var secondDataList []*EdbInfoSearchData
+		secondDataList, err = GetPredictEdbDataListAllByStartDate(secondEdbInfo, 0, "")
+		if err != nil {
+			return
+		}
+		bDataList, bDataMap = handleNhccData(secondDataList, existItemB.MoveValue)
+	}
+
+	if len(aDataList) <= 0 {
+		err = errors.New("指标A没有数据")
+		return
+	}
+	if len(bDataList) <= 0 {
+		err = errors.New("指标B没有数据")
+		return
+	}
+	// 拟合残差计算的结束日期判断
+	{
+		endAData := aDataList[len(aDataList)-1]
+		tmpEndDate, tmpErr := time.ParseInLocation(utils.FormatDate, endAData.DataTime, time.Local)
+		if tmpErr != nil {
+			err = tmpErr
+			return
+		}
+		// 如果A指标的最新数据日期早于拟合残差的结束日期,那么就用A指标的最新数据日期
+		if tmpEndDate.Before(nhccDate.EndDate) {
+			nhccDate.EndDate = tmpEndDate
+		}
+		endBData := bDataList[len(bDataList)-1]
+		tmpEndDate, tmpErr = time.ParseInLocation(utils.FormatDate, endBData.DataTime, time.Local)
+		if tmpErr != nil {
+			err = tmpErr
+			return
+		}
+		// 如果B指标的最新数据日期早于拟合残差的结束日期,那么就用A指标的最新数据日期
+		if tmpEndDate.Before(nhccDate.EndDate) {
+			nhccDate.EndDate = tmpEndDate
+		}
+	}
+
+	// 计算线性方程公式
+	var a, b float64
+	{
+		coordinateData := make([]Coordinate, 0)
+		for i := nhccDate.StartDate; i.Before(nhccDate.EndDate) || i.Equal(nhccDate.EndDate); i = i.AddDate(0, 0, 1) {
+			dateStr := i.Format(utils.FormatDate)
+			xValue, ok := aDataMap[dateStr]
+			if !ok {
+				err = errors.New("指标A日期:" + dateStr + "数据异常,导致计算线性方程公式失败")
+				return
+			}
+			yValue, ok := bDataMap[dateStr]
+			if !ok {
+				err = errors.New("指标B日期:" + dateStr + "数据异常,导致计算线性方程公式失败")
+				return
+			}
+			tmpCoordinate := Coordinate{
+				X: xValue,
+				Y: yValue,
+			}
+			coordinateData = append(coordinateData, tmpCoordinate)
+		}
+		a, b = getLinearResult(coordinateData)
+	}
+
+	if math.IsNaN(a) || math.IsNaN(b) {
+		err = errors.New("线性方程公式生成失败")
+		return
+	}
+	//fmt.Println("a:", a, ";======b:", b)
+
+	//计算B’
+	newBDataMap := make(map[string]float64)
+	{
+		//B’=aA+b
+		aDecimal := decimal.NewFromFloat(a)
+		bDecimal := decimal.NewFromFloat(b)
+		for _, aData := range aDataList {
+			xDecimal := decimal.NewFromFloat(aData.Value)
+			val, _ := aDecimal.Mul(xDecimal).Add(bDecimal).RoundCeil(4).Float64()
+			newBDataMap[aData.DataTime] = val
+		}
+
+	}
+
+	// Delta=B-B‘
+	for _, bData := range secondDataList {
+		currDate := bData.DataTime
+		//校验待删除日期数据里面是否存在该元素,如果存在的话,那么移除该元素
+		if _, ok := removeDataTimeMap[currDate]; ok {
+			delete(removeDataTimeMap, currDate)
+		}
+
+		b2Val, ok := newBDataMap[currDate]
+		if !ok {
+			// 如果B`不存在数据,那么就退出当前循环
+			continue
+		}
+		bDecimal := decimal.NewFromFloat(bData.Value)
+		b2Decimal := decimal.NewFromFloat(b2Val)
+
+		val, _ := bDecimal.Sub(b2Decimal).RoundCeil(4).Float64()
+
+		// 判断之前有没有该数据
+		existData, ok := dataMap[currDate]
+		if !ok { //不存在那么就添加吧
+			currentDate, _ := time.Parse(utils.FormatDate, currDate)
+			timestamp := currentDate.UnixNano() / 1e6
+			edbDataNhcc := &EdbDataPredictCalculateNhcc{
+				EdbInfoId:     edbInfo.EdbInfoId,
+				EdbCode:       edbInfo.EdbCode,
+				DataTime:      currDate,
+				Value:         val,
+				Status:        1,
+				CreateTime:    time.Now(),
+				ModifyTime:    time.Now(),
+				DataTimestamp: timestamp,
+			}
+			addDataList = append(addDataList, edbDataNhcc)
+		} else {
+			// 如果有的话,还需要判断值是否一致,一致则不处理,不一致则修改
+			if existData.Value != val {
+				existData.Value = val
+				_, err = to.Update(existData, "Value")
+				if err != nil {
+					return
+				}
+			}
+		}
+	}
+
+	//删除已经不存在的拟合残差指标数据(由于该指标当日的数据删除了)
+	{
+		removeDateList := make([]string, 0)
+		for dateTime := range removeDataTimeMap {
+			removeDateList = append(removeDateList, dateTime)
+		}
+		removeNum := len(removeDateList)
+		if removeNum > 0 {
+			//如果拼接指标变更了,那么需要删除所有的指标数据
+			tableName := GetEdbDataTableName(edbInfo.Source)
+			sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (`+utils.GetOrmInReplace(removeNum)+`) `, tableName)
+			_, err = to.Raw(sql, edbInfo.EdbInfoId, removeDateList).Exec()
+			if err != nil {
+				err = fmt.Errorf("删除不存在的拟合残差指标数据失败,Err:" + err.Error())
+				return
+			}
+		}
+	}
+
+	//数据入库
+	if len(addDataList) > 0 {
+		tmpAddDataList := make([]*EdbDataPredictCalculateNhcc, 0)
+		i := 0
+		for _, v := range addDataList {
+			if firstEdbInfo.LatestDate == v.DataTime {
+				latestValue = v.Value
+			}
+			tmpAddDataList = append(tmpAddDataList, v)
+			i++
+			if i >= 500 {
+				_, err = to.InsertMulti(len(tmpAddDataList), tmpAddDataList)
+				if err != nil {
+					return
+				}
+				i = 0
+				tmpAddDataList = make([]*EdbDataPredictCalculateNhcc, 0)
+			}
+		}
+
+		if len(tmpAddDataList) > 0 {
+			_, err = to.InsertMulti(len(tmpAddDataList), tmpAddDataList)
+			if err != nil {
+				return
+			}
+		}
+	}
+	return
+}