eta_index_lib/models/base_from_calculate.go

package models

import (
	"encoding/json"
	"errors"
	"eta/eta_index_lib/utils"
	"fmt"
	"github.com/beego/beego/v2/client/orm"
	"github.com/dengsgo/math-engine/engine"
	"github.com/shopspring/decimal"
	//"github.com/yidane/formula"
	"strconv"
	"strings"
	"time"
)

// EdbInfoCalculateSaveReq 计算（运算）指标请求参数
type EdbInfoCalculateSaveReq struct {
	AdminId          int    `description:"添加人id"`
	AdminName        string `description:"添加人名称"`
	EdbInfoId        int    `description:"指标id"`
	EdbName          string `description:"指标名称"`
	EdbNameEn        string `description:"英文指标名称"`
	Frequency        string `description:"频率"`
	Unit             string `description:"单位"`
	UnitEn           string `description:"英文单位"`
	ClassifyId       int    `description:"分类id"`
	CalculateFormula string `description:"计算公式"`
	EmptyType        int    `description:"空值处理类型（0查找前后35天，1不计算，2前值填充，3后值填充，4等于0）"`
	MaxEmptyType     int    `description:"MAX、MIN公式空值处理类型（1、等于0；2、跳过空值）"`
	Extra            string `description:"指标额外配置"`
	EdbInfoIdArr     []EdbInfoFromTag
}

// EdbInfoFromTag 计算指标的关联指标
type EdbInfoFromTag struct {
	EdbInfoId int    `description:"指标id"`
	FromTag   string `description:"指标对应标签"`
}

// CalculateItems 计算（运算）指标信息
type CalculateItems struct {
	EdbInfoId int
	DataMap   map[string]float64
}

// AddCalculateInfo 新增计算（运算）指标
func AddCalculateInfo(req EdbInfoCalculateSaveReq, calculateMappingList []*EdbInfoCalculateMapping, edbInfoList []*EdbInfo, edbCode, uniqueCode string, edbInfoIdBytes []string) (edbInfo *EdbInfo, err error) {

	o := orm.NewOrm()
	to, err := o.Begin()
	if err != nil {
		return
	}
	defer func() {
		if err != nil {
			fmt.Println("AddCalculateHcz,Err:" + err.Error())
			_ = to.Rollback()
		} else {
			_ = to.Commit()
		}
	}()

	edbInfo = &EdbInfo{
		EdbInfoId:        0,
		SourceName:       "指标运算",
		Source:           utils.DATA_SOURCE_CALCULATE,
		EdbCode:          edbCode,
		EdbName:          req.EdbName,
		EdbNameSource:    req.EdbName,
		Frequency:        req.Frequency,
		Unit:             req.Unit,
		StartDate:        "",
		EndDate:          "",
		ClassifyId:       req.ClassifyId,
		SysUserId:        req.AdminId,
		SysUserRealName:  req.AdminName,
		UniqueCode:       uniqueCode,
		CreateTime:       time.Now(),
		ModifyTime:       time.Now(),
		MinValue:         0,
		MaxValue:         0,
		CalculateFormula: req.CalculateFormula,
		EdbType:          2,
		Sort:             0,
		MoveType:         0,
		MoveFrequency:    "",
		NoUpdate:         0,
		ServerUrl:        "",
		EdbInfoType:      0,
		EdbNameEn:        req.EdbName,
		UnitEn:           req.Unit,
		LatestDate:       "",
		LatestValue:      0,
		ChartImage:       "",
		EmptyType:        req.EmptyType,
		MaxEmptyType:     req.MaxEmptyType,
		Extra:            req.Extra,
	}
	lastId, err := to.Insert(edbInfo)
	if err != nil {
		return
	}
	edbInfo.EdbInfoId = int(lastId)
	edbInfoTag := make(map[string]int)
	//关联关系表
	{
		//处理关联指标
		for _, v := range calculateMappingList {
			edbInfoTag[v.FromTag] = v.FromEdbInfoId
			v.EdbCode = edbCode
			v.EdbInfoId = edbInfo.EdbInfoId
		}
		if len(calculateMappingList) > 0 {
			_, err = to.InsertMulti(len(calculateMappingList), calculateMappingList)
			if err != nil {
				return
			}
		}
	}

	//计算数据
	err = refreshAllCalculate(to, edbInfoList, edbInfoTag, edbInfo.EdbInfoId, edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode, edbInfo.CalculateFormula, "", "", edbInfoIdBytes, edbInfo.EmptyType, edbInfo.MaxEmptyType, edbInfo.Extra)
	return
}

// EditCalculateInfo 编辑计算（运算）指标
func EditCalculateInfo(edbInfo *EdbInfo, req EdbInfoCalculateSaveReq, formulaSlice []string, edbInfoIdBytes []string, needCalculate bool) (err error, errMsg string) {
	o := orm.NewOrm()
	to, err := o.Begin()
	if err != nil {
		return
	}
	defer func() {
		if err != nil {
			fmt.Println("AddCalculateHcz,Err:" + err.Error())
			_ = to.Rollback()
		} else {
			_ = to.Commit()
		}
	}()

	// 修改指标信息
	edbInfo.EdbName = req.EdbName
	edbInfo.EdbNameEn = req.EdbNameEn
	edbInfo.EdbNameSource = req.EdbName
	edbInfo.Frequency = req.Frequency
	edbInfo.Unit = req.Unit
	edbInfo.UnitEn = req.UnitEn
	edbInfo.ClassifyId = req.ClassifyId
	edbInfo.CalculateFormula = req.CalculateFormula
	edbInfo.ModifyTime = time.Now()
	edbInfo.EmptyType = req.EmptyType
	edbInfo.MaxEmptyType = req.MaxEmptyType
	edbInfo.Extra = req.Extra
	_, err = to.Update(edbInfo, "EdbName", "EdbNameSource", "Frequency", "Unit", "EdbNameEn", "UnitEn", "ClassifyId", "CalculateFormula", "ModifyTime", "EmptyType", "MaxEmptyType", "Extra")
	if err != nil {
		return
	}

	if needCalculate {
		// 清除计算数据
		sql := `DELETE FROM edb_data_calculate WHERE edb_info_id=?`
		_, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
		if err != nil {
			return
		}
		// 清除关联关系表
		sql = `DELETE FROM edb_info_calculate_mapping WHERE edb_info_id=?`
		_, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
		if err != nil {
			return
		}
		edbInfoList := make([]*EdbInfo, 0)

		calculateMappingList := make([]*EdbInfoCalculateMapping, 0)
		edbInfoTag := make(map[string]int)
		for k, v := range req.EdbInfoIdArr {
			edbInfoTag[v.FromTag] = v.EdbInfoId
			fromEdbInfo, tmpErr := GetEdbInfoById(v.EdbInfoId)
			if tmpErr != nil {
				err = tmpErr
				return
			}
			edbInfoList = append(edbInfoList, fromEdbInfo)

			//关联关系表
			{
				calculateMappingItem := &EdbInfoCalculateMapping{
					EdbInfoCalculateMappingId: 0,
					EdbInfoId:                 req.EdbInfoId,
					Source:                    edbInfo.Source,
					SourceName:                edbInfo.SourceName,
					EdbCode:                   edbInfo.EdbCode,
					FromEdbInfoId:             fromEdbInfo.EdbInfoId,
					FromEdbCode:               fromEdbInfo.EdbCode,
					FromEdbName:               fromEdbInfo.EdbName,
					FromSource:                fromEdbInfo.Source,
					FromSourceName:            fromEdbInfo.SourceName,
					FromTag:                   v.FromTag,
					Sort:                      k + 1,
					CreateTime:                time.Now(),
					ModifyTime:                time.Now(),
				}
				calculateMappingList = append(calculateMappingList, calculateMappingItem)
			}
		}

		for _, v := range formulaSlice {
			formulaMap, e := utils.CheckFormula(v)
			if e != nil {
				err = fmt.Errorf("公式错误，请重新填写")
				return
			}
			//预先计算，判断公式是否正常
			ok, _ := CheckFormula2(edbInfoList, formulaMap, v, edbInfoIdBytes)
			if !ok {
				errMsg = "生成计算指标失败，请使用正确的计算公式"
				err = errors.New(errMsg)
				return
			}
		}

		//关联关系表
		{
			if len(calculateMappingList) > 0 {
				_, err = to.InsertMulti(len(calculateMappingList), calculateMappingList)
				if err != nil {
					return
				}
			}
		}

		//计算数据
		err = refreshAllCalculate(to, edbInfoList, edbInfoTag, edbInfo.EdbInfoId, edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode, edbInfo.CalculateFormula, "", "", edbInfoIdBytes, edbInfo.EmptyType, edbInfo.MaxEmptyType, edbInfo.Extra)
	}

	return
}

// GetCalculateEdbInfo 获取计算指标的关联指标id
func GetCalculateEdbInfo(edbInfoId int) (from_edb_info_id string, err error) {
	o := orm.NewOrm()
	sql := ` SELECT GROUP_CONCAT(from_edb_info_id ORDER BY sort ASC SEPARATOR ',') AS from_edb_info_id 
			FROM edb_info_calculate_mapping
			WHERE edb_info_id=?
			GROUP BY edb_info_id
			 `
	err = o.Raw(sql, edbInfoId).QueryRow(&from_edb_info_id)
	return
}

// DeleteCalculateEdbInfo 删除指标信息
func DeleteCalculateEdbInfo(edbInfoId int) (err error) {
	o := orm.NewOrm()
	to, err := o.Begin()
	if err != nil {
		return
	}
	defer func() {
		if err != nil {
			_ = to.Rollback()
		} else {
			_ = to.Commit()
		}
	}()
	sql := `DELETE FROM edb_data_calculate WHERE edb_info_id=?`
	_, err = to.Raw(sql, edbInfoId).Exec()
	if err != nil {
		return
	}
	sql = `DELETE FROM edb_info_calculate_mapping WHERE edb_info_id=?`
	_, err = to.Raw(sql, edbInfoId).Exec()
	return
}

// RefreshAllCalculate 刷新全部数据
func RefreshAllCalculate(edbInfoIdArr []*EdbInfo, edbInfoTag map[string]int, edbInfoId, source, subSource int, edbCode, formulaStr, startDate, endDate string, edbInfoIdBytes []string, emptyType, maxEmptyType int, extra string) (err error) {
	o := orm.NewOrm()
	to, err := o.Begin()
	if err != nil {
		return
	}
	defer func() {
		if err != nil {
			fmt.Println("RefreshAllCalculate,Err:" + err.Error())
			_ = to.Rollback()
		} else {
			_ = to.Commit()
		}
	}()
	fmt.Println(startDate, endDate)

	//计算数据
	err = refreshAllCalculate(to, edbInfoIdArr, edbInfoTag, edbInfoId, source, subSource, edbCode, formulaStr, startDate, endDate, edbInfoIdBytes, emptyType, maxEmptyType, extra)
	return
}

// refreshAllCalculate 刷新全部数据
func refreshAllCalculate(to orm.TxOrmer, edbInfoIdArr []*EdbInfo, edbInfoTag map[string]int, edbInfoId, source, subSource int, edbCode, formulaStr, startDate, endDate string, edbInfoIdBytes []string, emptyType, maxEmptyType int, extra string) (err error) {
	realSaveDataMap := make(map[string]map[int]float64)
	saveDataMap := make(map[string]map[int]float64)

	// 最小的结束日期 , 最晚的数据开始日期
	var minLatestDate, maxStartDate time.Time
	dateList := make([]string, 0)        // 最终的日期数据
	dateMap := make(map[string]struct{}) // 最终的日期数据

	dateTagConfig := ""
	if extra != "" {
		var dateConfig CalculateEdbExtra
		err = json.Unmarshal([]byte(extra), &dateConfig)
		if err != nil {
			err = fmt.Errorf("refreshAllCalculate,extra解析失败,Err:%s", err.Error())
			return
		}
		dateTagConfig = dateConfig.DateTag
	}

	for edbInfoIndex, v := range edbInfoIdArr {
		dataList, err := GetEdbDataListAllByTo(to, v.Source, v.SubSource, FindEdbDataListAllCond{
			EdbInfoId:         v.EdbInfoId,
			StartDataTime:     startDate,
			StartDataTimeCond: ">=",
		}, 1)
		if err != nil {
			return err
		}

		for _, dv := range dataList {
			if val, ok := realSaveDataMap[dv.DataTime]; ok {
				if _, ok := val[v.EdbInfoId]; !ok {
					val[v.EdbInfoId] = dv.Value
				}
			} else {
				temp := make(map[int]float64)
				temp[v.EdbInfoId] = dv.Value
				realSaveDataMap[dv.DataTime] = temp
			}

			// saveDataMap
			if val, ok := saveDataMap[dv.DataTime]; ok {
				if _, ok := val[v.EdbInfoId]; !ok {
					val[v.EdbInfoId] = dv.Value
				}
			} else {
				temp2 := make(map[int]float64)
				temp2[v.EdbInfoId] = dv.Value
				saveDataMap[dv.DataTime] = temp2
			}

			if dateTagConfig == "all" {
				if _, ok := dateMap[dv.DataTime]; !ok {
					dateList = append(dateList, dv.DataTime)
					dateMap[dv.DataTime] = struct{}{}
				}
			} else if dateTagConfig == "" { // 默认取第一个指标的时间序列
				if edbInfoIndex == 0 {
					if _, ok := dateMap[dv.DataTime]; !ok {
						dateList = append(dateList, dv.DataTime)
						dateMap[dv.DataTime] = struct{}{}
					}
				}
			} else {
				if eId, ok := edbInfoTag[dateTagConfig]; ok {
					if v.EdbInfoId == eId {
						if _, ok1 := dateMap[dv.DataTime]; !ok1 {
							dateList = append(dateList, dv.DataTime)
							dateMap[dv.DataTime] = struct{}{}
						}
					}
				}
			}
		}
	}
	// 处理最大日期和最小日期
	for _, v := range dateList {
		tmpDate, _ := time.ParseInLocation(utils.FormatDate, v, time.Local)
		if minLatestDate.IsZero() || tmpDate.After(minLatestDate) {
			minLatestDate = tmpDate
		}
		if maxStartDate.IsZero() || tmpDate.Before(maxStartDate) {
			maxStartDate = tmpDate
		}
	}

	//数据处理，将日期内不全的数据做补全
	HandleDateSaveDataMap(dateList, maxStartDate, minLatestDate, realSaveDataMap, saveDataMap, edbInfoIdArr, emptyType)

	formulaDateSlice, formulaDateMap, err := utils.HandleFormulaJson(formulaStr, minLatestDate)
	if err != nil {
		return
	}
	addSql := ` INSERT INTO edb_data_calculate(edb_info_id,edb_code,data_time,value,create_time,modify_time,data_timestamp) values `
	var isAdd bool

	//获取指标所有数据
	dataList := make([]*EdbData, 0)
	dataTableName := GetEdbDataTableName(source, subSource)
	sql := `SELECT * FROM %s WHERE edb_info_id=? `
	sql = fmt.Sprintf(sql, dataTableName)
	_, err = to.Raw(sql, edbInfoId).QueryRows(&dataList)
	if err != nil {
		return err
	}
	dataMap := make(map[string]string)

	removeDateMap := make(map[string]string) //需要移除的日期
	for _, v := range dataList {
		dataMap[v.DataTime] = v.Value
		removeDateMap[v.DataTime] = v.DataTime
	}
	edbInfoIdStr := strconv.Itoa(edbInfoId)
	existDataMap := make(map[string]string)

	// 判断是否特殊处理max和min函数
	maxDealFlag := false
	if emptyType == 4 && maxEmptyType == 2 {
		maxDealFlag = true
	}
	for sk, sv := range saveDataMap {
		// 当空值处理类型选择了不计算时，只要有一个指标在某个日期没有值(即空值)，则计算指标在该日期没有值
		if emptyType == 1 {
			if len(sv) != len(edbInfoIdArr) {
				continue
			}
		}
		//fmt.Println(sk, sv)
		// 根据时间范围，选择对应的公式
		formulaMap := make(map[string]string)
		formulaStr = ""
		for _, fv := range formulaDateSlice {
			if sk < fv {
				if f, ok := formulaDateMap[fv]; ok {
					formulaStr = f
					formulaMap, err = utils.CheckFormula(formulaStr)
					if err != nil {
						err = fmt.Errorf("公式错误，请重新填写")
						return
					}
				}
				break
			}
		}
		if formulaStr == "" {
			continue
		}
		svMax := make(map[int]float64)
		if maxDealFlag {
			// 特殊处理max和min函数，如果原本的值为空，则选择空值参与运算
			if svMaxData, ok := realSaveDataMap[sk]; ok {
				svMax = svMaxData
			}
		}
		formulaStr = strings.ToUpper(formulaStr)
		formulaFormStr := ReplaceFormula(edbInfoIdArr, sv, svMax, formulaMap, formulaStr, edbInfoIdBytes, maxDealFlag)
		//计算公式异常，那么就移除该指标
		if formulaFormStr == `` {
			//removeDateList = append(removeDateList, sk)
			continue
		}
		//utils.FileLog.Info(fmt.Sprintf("formulaFormStr:%s", formulaFormStr))
		fmt.Println(fmt.Sprintf("%s:formulaFormStr:%s", sk, formulaFormStr))
		//expression := formula.NewExpression(formulaFormStr)
		//calResult, err := expression.Evaluate()
		//if err != nil {
		//	// 分母为0的报错
		//	if strings.Contains(err.Error(), "divide by zero") {
		//		//removeDateList = append(removeDateList, sk)
		//		continue
		//	}
		//	err = errors.New("计算失败：Err:" + err.Error() + ";formulaStr:" + formulaFormStr)
		//	fmt.Println(err)
		//	return err
		//}
		//// 如果计算结果是NAN，那么就退出当前循环
		//if calResult.IsNan() {
		//	continue
		//}
		calVal, err := engine.ParseAndExec(formulaFormStr)
		//calVal, err := calResult.Float64()
		if err != nil {
			err = errors.New("计算失败：获取计算值失败 Err:" + err.Error() + ";formulaStr:" + formulaFormStr)
			fmt.Println(err)
			return err
		}
		nanCheck := fmt.Sprintf("%0.f", calVal)
		// 分母为0.0的报错
		if nanCheck == "NaN" || nanCheck == "+Inf" || nanCheck == "-Inf" {
			continue
		}
		// 有计算出来值，那么就从待删除指标中移除
		delete(removeDateMap, sk)
		saveValue := decimal.NewFromFloat(calVal).RoundCeil(4).String() //utils.SubFloatToString(calVal, 4)
		if existVal, ok := dataMap[sk]; !ok {
			dataTime, _ := time.ParseInLocation(utils.FormatDate, sk, time.Local)
			timestamp := dataTime.UnixNano() / 1e6
			timeStr := fmt.Sprintf("%d", timestamp)

			if _, existOk := existDataMap[sk]; !existOk {
				addSql += GetAddSql(edbInfoIdStr, edbCode, sk, timeStr, saveValue)
				isAdd = true
			}
			existDataMap[sk] = sk
		} else {
			existValDecimal, err := decimal.NewFromString(existVal)
			existStr := existValDecimal.String()
			if existStr != saveValue {
				sql := ` UPDATE %s SET value=?,modify_time=NOW() WHERE edb_info_id=? AND data_time=? `
				sql = fmt.Sprintf(sql, dataTableName)
				_, err = to.Raw(sql, saveValue, edbInfoId, sk).Exec()
				if err != nil {
					return err
				}
			}
		}
	}

	if isAdd {
		addSql = strings.TrimRight(addSql, ",")
		_, err = to.Raw(addSql).Exec()
		if err != nil {
			fmt.Println("RefreshAllCalculate add Err", err.Error())
			return
		}
	}

	if len(removeDateMap) > 0 {
		removeDateList := make([]string, 0) //需要移除的日期
		for k := range removeDateMap {
			removeDateList = append(removeDateList, k)
		}
		removeDateStr := strings.Join(removeDateList, `","`)
		removeDateStr = `"` + removeDateStr + `"`
		//如果拼接指标变更了，那么需要删除所有的指标数据
		tableName := GetEdbDataTableName(source, subSource)
		sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (%s) `, tableName, removeDateStr)

		_, err = to.Raw(sql, edbInfoId).Exec()
		if err != nil {
			err = fmt.Errorf("删除计算失败的计算指标数据失败,Err:" + err.Error())
			return
		}
	}
	return
}

// ReplaceFormula 替换计算方式
func ReplaceFormula(edbInfoIdArr []*EdbInfo, valArr, valArrMax map[int]float64, formulaMap map[string]string, formulaStr string, edbInfoIdBytes []string, maxDealFlag bool) string {
	// todo 先处理max和min函数的特殊情况
	//if strings.Contains(formulaStr, "MAX") || strings.Contains(formulaStr, "MIN") {
	funMap := GetFormulaMap()
	for k, v := range funMap {
		formulaStr = strings.Replace(formulaStr, k, v, -1)
	}
	if maxDealFlag {
		formulaStr = GetMaxMinEdbInfo(formulaStr)
	}
	replaceCount := 0
	for dk := len(edbInfoIdArr) - 1; dk >= 0; dk-- {
		dv := edbInfoIdArr[dk]
		//for dk, dv := range edbInfoIdArr {
		var isReplace bool
		formulaStr, isReplace = GetFormulaReplace(dk, dv.EdbInfoId, formulaStr, edbInfoIdBytes, formulaMap, valArr, valArrMax, maxDealFlag)
		if isReplace {
			replaceCount++
		}
	}
	for k, v := range funMap {
		formulaStr = strings.Replace(formulaStr, v, k, -1)
	}
	if strings.Contains(formulaStr, "MAX()") || strings.Contains(formulaStr, "MIN()") {
		return ""
	}

	formulaStr = strings.Replace(formulaStr, "MAX", "max", -1)
	formulaStr = strings.Replace(formulaStr, "MIN", "min", -1)
	formulaStr = strings.Replace(formulaStr, "LN", "ln", -1)
	formulaStr = strings.Replace(formulaStr, "LOG", "log", -1)

	if replaceCount == len(formulaMap) {
		return formulaStr
	} else {
		return ""
	}
}

func GetFormulaReplace(index, edbInfoId int, formulaStr string, edbInfoIdBytes []string, formulaMap map[string]string, valArr, valArrMax map[int]float64, maxDealFlag bool) (formulaResult string, isReplace bool) {
	formulaResult = formulaStr
	dKey := edbInfoIdBytes[index]
	if _, ok := formulaMap[dKey]; ok { //公式中存在
		if val, valOk := valArr[edbInfoId]; valOk { //值存在
			dvStr := fmt.Sprintf("%v", val)
			formulaResult = strings.Replace(formulaResult, dKey, dvStr, -1)
			isReplace = true
			if maxDealFlag {
				if valM, valMOk := valArrMax[edbInfoId]; valMOk { //值存在
					dvMStr := fmt.Sprintf("%v", valM)
					formulaResult = strings.Replace(formulaResult, strings.ToLower(dKey), dvMStr, -1)
				} else {
					formulaResult = strings.Replace(formulaResult, strings.ToLower(dKey)+",", "", -1)
					formulaResult = strings.Replace(formulaResult, ","+strings.ToLower(dKey), "", -1)
				}
			}
		}
	}
	return
}

// GetFormulaMap 获取计算公式的map
func GetFormulaMap() map[string]string {
	funMap := make(map[string]string)
	funMap["MAX"] = "[@@]"
	funMap["MIN"] = "[@!]"
	funMap["ABS"] = "[@#]"
	funMap["CEIL"] = "[@$]"
	funMap["COS"] = "[@%]"
	funMap["FLOOR"] = "[@^]"
	funMap["MOD"] = "[@&]"
	funMap["POW"] = "[@*]"
	funMap["ROUND"] = "[@`]"
	funMap["LN"] = "[@-]"
	funMap["EXP"] = "[@+]"
	return funMap
}

// CalculateBatchSaveReq 添加计算指标的请求参数
type CalculateBatchSaveReq struct {
	EdbList          []*CalculateEdbInfoItem        //需要批量计算的指标列表
	AdminId          int                            `description:"添加人id"`
	AdminName        string                         `description:"添加人名称"`
	Formula          string                         `description:"N值/移动天数"`
	Source           int                            `description:"来源:1:同花顺,2:wind,3:彭博,4:指标运算,5:累计值转月,6:同比值,7:同差值,8:N数值移动平均计算,12:环比值,13:环差值,14:升频"`
	CalculateFormula string                         `description:"计算公式"`
	EdbInfoIdArr     []EdbInfoCalculateEdbInfoIdReq `description:"关联指标列表"`
	MoveType         int                            `description:"移动方式:1:领先(默认),2:滞后"`
	MoveFrequency    string                         `description:"移动频度:天/周/月/季/年"`
	Calendar         string                         `description:"公历/农历"`
	Data             interface{}                    `description:"数据"`
	EmptyType        int                            `description:"空值处理类型（0查找前后35天，1不计算，2前值填充，3后值填充，4等于0）"`
	MaxEmptyType     int                            `description:"MAX、MIN公式空值处理类型（1、等于0；2、跳过空值）"`
	Extra            string                         `description:"指标额外配置"`
}

type CalculateEdbInfoItem struct {
	EdbInfoId     int    `description:"指标id"`
	EdbName       string `description:"指标名称"`
	Frequency     string `description:"频度"`
	Unit          string `description:"单位"`
	ClassifyId    int    `description:"分类id"`
	CalculateId   string `description:"当前请求时,单个计算的唯一标识"`
	FromEdbInfoId int    `description:"计算来源指标id"`
}

// EdbInfoCalculateBatchSaveReq 添加计算指标的请求参数
type EdbInfoCalculateBatchSaveReq struct {
	AdminId          int                            `description:"添加人id"`
	AdminName        string                         `description:"添加人名称"`
	EdbInfoId        int                            `description:"指标id"`
	EdbName          string                         `description:"指标名称"`
	Frequency        string                         `description:"频度"`
	Unit             string                         `description:"单位"`
	ClassifyId       int                            `description:"分类id"`
	Formula          string                         `description:"N值/移动天数"`
	FromEdbInfoId    int                            `description:"计算来源指标id"`
	Source           int                            `description:"来源:1:同花顺,2:wind,3:彭博,4:指标运算,5:累计值转月,6:同比值,7:同差值,8:N数值移动平均计算,12:环比值,13:环差值,14:升频"`
	CalculateFormula string                         `description:"计算公式"`
	EdbInfoIdArr     []EdbInfoCalculateEdbInfoIdReq `description:"关联指标列表"`
	MoveType         int                            `description:"移动方式:1:领先(默认),2:滞后"`
	MoveFrequency    string                         `description:"移动频度:天/周/月/季/年"`
	Calendar         string                         `description:"公历/农历"`
	Data             interface{}                    `description:"数据"`
	EmptyType        int                            `description:"空值处理类型（0查找前后35天，1不计算，2前值填充，3后值填充，4等于0）"`
	MaxEmptyType     int                            `description:"MAX、MIN公式空值处理类型（1、等于0；2、跳过空值）"`
	Extra            string                         `description:"指标额外配置"`
}

// EdbInfoCalculateEdbInfoIdReq 新增/编辑请求 关联的指标列表
type EdbInfoCalculateEdbInfoIdReq struct {
	EdbInfoId int    `description:"指标id"`
	FromTag   string `description:"指标对应标签"`
	MoveValue int    `description:"移动的值"`
}

// EdbInfoCalculateBatchEditReq 编辑计算指标的请求参数
type EdbInfoCalculateBatchEditReq struct {
	EdbName          string                         `description:"指标名称"`
	EdbNameEn        string                         `description:"英文指标名称"`
	Frequency        string                         `description:"频度"`
	Unit             string                         `description:"单位"`
	UnitEn           string                         `description:"英文单位"`
	ClassifyId       int                            `description:"分类id"`
	Formula          string                         `description:"N值"`
	EdbInfoId        int                            `description:"编辑指标id"`
	FromEdbInfoId    int                            `description:"计算来源指标id"`
	Source           int                            `description:"来源:1:同花顺,2:wind,3:彭博,4:指标运算,5:累计值转月,6:同比值,7:同差值,8:N数值移动平均计算,12:环比值,13:环差值,14:升频"`
	MoveType         int                            `description:"移动方式:1:领先(默认),2:滞后"`
	MoveFrequency    string                         `description:"移动频度:天/周/月/季/年"`
	EdbInfoIdArr     []EdbInfoCalculateEdbInfoIdReq `description:"关联指标列表"`
	Calendar         string                         `description:"公历/农历" orm:"default(公历)"`
	Extra            string                         `description:"指标的额外配置"`
	Data             interface{}                    `description:"数据"`
	EmptyType        int                            `description:"空值处理类型（0查找前后35天，1不计算，2前值填充，3后值填充，4等于0）"`
	MaxEmptyType     int                            `description:"MAX、MIN公式空值处理类型（1、等于0；2、跳过空值）"`
	CalculateFormula string                         `description:"计算公式"`
}

// CheckFormula2 校验公式是否正常（比如说除法的分母不能为0之类的，实际上就是用预设的字段数据做一次计算）
func CheckFormula2(edbInfoArr []*EdbInfo, formulaMap map[string]string, formulaStr string, edbInfoIdBytes []string) (ok bool, err error) {
	valArr := make(map[int]float64)
	for k, v := range edbInfoArr {
		valArr[v.EdbInfoId] = 100 + float64(k)
	}

	formulaStr = strings.ToUpper(formulaStr)
	// 预设里的max和min无需特殊处理
	valArrMax := make(map[int]float64)
	formulaFormStr := ReplaceFormula(edbInfoArr, valArr, valArrMax, formulaMap, formulaStr, edbInfoIdBytes, false)
	if formulaFormStr == "" {
		return
	}

	_, err = engine.ParseAndExec(formulaFormStr)
	if err != nil {
		fmt.Println(err)
	} else {
		ok = true
	}
	//expression := formula.NewExpression(formulaFormStr)
	//_, err = expression.Evaluate()
	//if err != nil {
	//} else {
	//	ok = true
	//}
	return
}

// 处理整个数据
func HandleDateSaveDataMap(dateList []string, maxStartDate, minLatestDate time.Time, realSaveDataMap, saveDataMap map[string]map[int]float64, edbInfoIdArr []*EdbInfo, emptyType int) {
	for _, date := range dateList {
		dateTime, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)
		// 如果当前日期早于数据的最大开始日期，那么不处理，进入下一个循环
		if dateTime.Before(maxStartDate) {
			continue
		}
		// todo 规则是否生效如果当前日期晚于数据的最小结束日期，那么不处理，直接返回了
		if dateTime.After(minLatestDate) {
			return
		}

		tmpDataMap := realSaveDataMap[date]
		for _, edbInfo := range edbInfoIdArr {
			tmpEdbInfoId := edbInfo.EdbInfoId // 当前指标id
			// 如果该日期不存在该指标数据，那么需要找寻前后日期的数据，进行填补
			if _, ok := tmpDataMap[tmpEdbInfoId]; !ok {

				//day := 0
				//switch edbInfo.Frequency {
				//case "周度":
				//	day = 7
				//case "旬度":
				//	day = 15
				//case "月度":
				//	day = 30
				//case "季度":
				//	day = 90
				//case "年度":
				//	day = 365
				//}
				// 需求池 255 指标运算文案修改，补数据遍历区间修改（2023-3-7 09:37:23修改）

				switch emptyType {
				case 0:
					handleDateDataMap(realSaveDataMap, saveDataMap, date, tmpEdbInfoId, 35)
				case 2:
					handleDateDataMapBefore(realSaveDataMap, saveDataMap, date, tmpEdbInfoId, edbInfo.StartDate, edbInfo.EndDate)
				case 3:
					handleDateDataMapAfter(realSaveDataMap, saveDataMap, date, tmpEdbInfoId, edbInfo.StartDate, edbInfo.EndDate)
				case 4:
					handleDateDataMapZero(saveDataMap, date, tmpEdbInfoId)
				}

			}
		}
	}
}

// handleDateDataMap 前后35天 处理单个日期的数据
func handleDateDataMap(realSaveDataMap, saveDataMap map[string]map[int]float64, date string, edbInfoId, day int) {
	currDate, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)

	// 后一天
	nextDateDayStr := currDate.AddDate(0, 0, 1).Format(utils.FormatDate)

	// 前一天
	preDateDayStr := currDate.AddDate(0, 0, -1).Format(utils.FormatDate)

	for i := 1; i <= day; i++ {

		// 下个日期的数据
		{
			if i >= 1 {
				nextDateDayStr = currDate.AddDate(0, 0, i).Format(utils.FormatDate)
			}
			if findDataMap, hasFindDataMap := realSaveDataMap[nextDateDayStr]; hasFindDataMap { // 下一个日期有数据
				if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
					fmt.Println(fmt.Sprintf("date:%s, 无值，取%s的值%.4f", date, nextDateDayStr, val))
					saveDataMap[date][edbInfoId] = val
					return
				}
			}
		}

		// 上个日期的数据
		{
			if i >= 1 {
				preDateDayStr = currDate.AddDate(0, 0, -i).Format(utils.FormatDate)
			}
			if findDataMap, hasFindDataMap := realSaveDataMap[preDateDayStr]; hasFindDataMap { // 下一个日期有数据
				if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
					fmt.Println(fmt.Sprintf("date:%s, 无值，取%s的值%.4f", date, preDateDayStr, val))
					saveDataMap[date][edbInfoId] = val
					return
				}
			}
		}
	}
}

// handleDateDataMapBefore 前值填充：空值优先以最近的前值填充，没有前值时，用后值填充
func handleDateDataMapBefore(realSaveDataMap, saveDataMap map[string]map[int]float64, date string, edbInfoId int, startDate, endDate string) {
	currDate, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)

	// 前一天
	preDateDay := currDate

	startDateT, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
	endDateT, _ := time.ParseInLocation(utils.FormatDate, endDate, time.Local)

	if currDate.Before(startDateT) {
		if findDataMap, hasFindDataMap := realSaveDataMap[startDate]; hasFindDataMap { // 下一个日期有数据
			if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
				//utils.FileLog.Info(fmt.Sprintf("date:%s, 无值，取%s的值%.4f", date, startDate, val))
				saveDataMap[date][edbInfoId] = val
				return
			}
		}
		return
	}
	if currDate.After(endDateT) {
		if findDataMap, hasFindDataMap := realSaveDataMap[endDate]; hasFindDataMap { // 下一个日期有数据
			if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
				//utils.FileLog.Info(fmt.Sprintf("date:%s, 无值，取%s的值%.4f", date, endDate, val))
				saveDataMap[date][edbInfoId] = val
				return
			}
		}
	}
	for i := 1; preDateDay.After(startDateT) || preDateDay == startDateT; i++ {
		// 上个日期的数据
		{
			preDateDay = currDate.AddDate(0, 0, -i)
			preDateDayStr := preDateDay.Format(utils.FormatDate)
			if findDataMap, hasFindDataMap := realSaveDataMap[preDateDayStr]; hasFindDataMap { // 下一个日期有数据
				if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
					//utils.FileLog.Info(fmt.Sprintf("date:%s, 无值，取%s的值%.4f", date, preDateDayStr, val))
					saveDataMap[date][edbInfoId] = val
					return
				}
			}
		}
	}
	return
}

// handleDateDataMapAfter 后值填充：空值优先以最近的后值填充，没有后值时，用前值填充
func handleDateDataMapAfter(realSaveDataMap, saveDataMap map[string]map[int]float64, date string, edbInfoId int, startDate, endDate string) {
	currDate, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)

	// 后一天
	nextDateDay := currDate

	startDateT, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
	endDateT, _ := time.ParseInLocation(utils.FormatDate, endDate, time.Local)

	if currDate.Before(startDateT) {
		if findDataMap, hasFindDataMap := realSaveDataMap[startDate]; hasFindDataMap { // 下一个日期有数据
			if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
				//utils.FileLog.Info(fmt.Sprintf("date:%s, 无值，取%s的值%.4f", date, startDate, val))
				saveDataMap[date][edbInfoId] = val
				return
			}
		}
		return
	}
	if currDate.After(endDateT) {
		if findDataMap, hasFindDataMap := realSaveDataMap[endDate]; hasFindDataMap { // 下一个日期有数据
			if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
				//utils.FileLog.Info(fmt.Sprintf("date:%s, 无值，取%s的值%.4f", date, endDate, val))
				saveDataMap[date][edbInfoId] = val
				return
			}
		}
	}

	for i := 1; nextDateDay.Before(endDateT) || nextDateDay == endDateT; i++ {
		// 下个日期的数据
		{
			nextDateDay = currDate.AddDate(0, 0, i)
			nextDateDayStr := nextDateDay.Format(utils.FormatDate)
			if findDataMap, hasFindDataMap := realSaveDataMap[nextDateDayStr]; hasFindDataMap { // 下一个日期有数据
				if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
					//utils.FileLog.Info(fmt.Sprintf("date:%s, 无值，取%s的值%.4f", date, nextDateDayStr, val))
					saveDataMap[date][edbInfoId] = val
					return
				}
			}
		}
	}
	return
}

// handleDateDataMapZero 等于0
func handleDateDataMapZero(saveDataMap map[string]map[int]float64, date string, edbInfoId int) {
	saveDataMap[date][edbInfoId] = 0
	return
}

func GetMaxMinEdbInfo(formula string) string {
	flag := 0
	for k, v := range formula {
		if v >= 65 && v <= 122 {
			// 从左边找到第一个左括号的位置，往前截取三个字符，判断是不是max或者min，如果是的话，把该入参改成小写
			for i := k; i >= 4; i-- {
				if formula[i:i+1] == "(" && flag >= 1 {
					t := formula[i-4 : i]
					if t == "[@@]" || t == "[@!]" {
						formula = formula[:k] + strings.ToLower(formula[k:k+1]) + formula[k+1:]
					}
					break
				}
			}
		} else if formula[k:k+1] == "(" {
			flag += 1
		} else if formula[k:k+1] == ")" {
			flag -= 1
		}
	}
	return formula
}

// PredictRuleCalculateByNineResp 获取预测指标规则9的绘图数据返回
type PredictRuleCalculateByNineResp struct {
	LatestDate string
	DataList   interface{}
}

// BatchEdbInfoCalculateBatchSaveResp 批量添加 计算指标 返回数据
type BatchEdbInfoCalculateBatchSaveResp struct {
	Fail    []BatchEdbInfoCalculateBatchSaveFailResp    `description:"添加失败的指标"`
	Success []BatchEdbInfoCalculateBatchSaveSuccessResp `description:"添加成功的指标"`
}

// BatchEdbInfoCalculateBatchSaveFailResp 添加失败的指标信息
type BatchEdbInfoCalculateBatchSaveFailResp struct {
	CalculateId string `description:"当前请求时,单个计算的唯一标识"`
	Msg         string `description:"用户提示信息"`
	ErrMsg      string `description:"错误信息,内部查看"`
}

// BatchEdbInfoCalculateBatchSaveSuccessResp 添加成功的指标信息
type BatchEdbInfoCalculateBatchSaveSuccessResp struct {
	ClassifyId  int    `description:"分类id"`
	CalculateId string `description:"当前请求时,单个计算的唯一标识"`
	EdbInfoId   int    `description:"指标ID"`
	UniqueCode  string `description:"指标唯一编码"`
}