package models import ( "errors" "eta_gn/eta_index_lib/global" "eta_gn/eta_index_lib/utils" "fmt" "github.com/shopspring/decimal" "gorm.io/gorm" "sort" "strings" "time" ) // EdbDataPredictCalculateLjztbpj 累计值同比拼接数据结构体 type EdbDataPredictCalculateLjztbpj struct { EdbDataId int `gorm:"primaryKey;autoIncrement;column:edb_data_id"` EdbInfoId int `gorm:"column:edb_info_id" description:"指标ID"` EdbCode string `gorm:"column:edb_code" description:"指标编码"` DataTime string `gorm:"column:data_time" description:"数据日期"` Value float64 `gorm:"column:value" description:"数据值"` Status int `gorm:"column:status" description:"状态"` CreateTime time.Time `gorm:"column:status" description:"创建时间"` ModifyTime time.Time `gorm:"column:create_time" description:"修改时间"` DataTimestamp int64 `gorm:"column:modify_time" description:"数据日期时间戳"` } // RefreshAllPredictCalculateLjztbpj 刷新所有 累计值同比拼接 数据 func RefreshAllPredictCalculateLjztbpj(edbInfo *EdbInfo) (latestDateStr string, latestValue float64, err error) { to := global.DEFAULT_DmSQL.Begin() defer func() { if err != nil { 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 = errors.New("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("原待拼接指标不存在") return } if existItemB == nil { err = errors.New("原同比值指标不存在") 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 } // 刷新数据 latestDateStr, latestValue, err = refreshAllPredictCalculateLjztbpj(to, edbInfo, fromEdbInfo, secondEdbInfo, existItemB) return } // refreshAllPredictCalculateLjztbpj 刷新所有 累计值同比拼接 数据 func refreshAllPredictCalculateLjztbpj(to *gorm.DB, edbInfo, firstEdbInfo, secondEdbInfo *EdbInfo, existItemB *EdbInfoCalculateMapping) (latestDateStr string, latestValue float64, err error) { //根据指标id获取全部的数据 var dataList []*EdbDataPredictCalculateLjztbpj sql := ` SELECT * FROM edb_data_predict_calculate_ljztbpj WHERE edb_info_id=? ORDER BY data_time DESC ` err = to.Raw(sql, edbInfo.EdbInfoId).Scan(&dataList).Error if err != nil { return } latestDateStr = secondEdbInfo.LatestDate //待拼接指标map pjDataMap := make(map[string]float64) //需要入库的数据 nowEdbDataMap := make(map[string]float64) //当前指标的数据(已经在库里了,不需要重新) //拼接指标的日期切片数据 pjEdbDataTimeList := make([]string, 0) dataMap := make(map[string]*EdbDataPredictCalculateLjztbpj) for _, v := range dataList { pjEdbDataTimeList = append(pjEdbDataTimeList, v.DataTime) dataMap[v.DataTime] = v nowEdbDataMap[v.DataTime] = v.Value } // 原数据开始计算日期 startCalculationDate, _ := time.ParseInLocation(utils.FormatDate, edbInfo.CalculateFormula, time.Local) //待拼接指标 { /*var condition string var pars []interface{} condition += " AND data_time <= ? AND edb_info_id=? " pars = append(pars, startCalculationDate, existItemA.FromEdbInfoId) //第一个指标的数据列表 firstDataList, tmpErr := GetEdbDataListAllByTo(to, condition, pars, existItemA.FromSource, 0) if tmpErr != nil { err = tmpErr return }*/ var firstDataList []*EdbInfoSearchData firstDataList, err = GetPredictEdbDataListAllByStartDate(firstEdbInfo, 0, "") if err != nil { return } for _, v := range firstDataList { if v.DataTime > startCalculationDate.Format(utils.FormatDate) { continue } //时间戳 if edbData, ok := dataMap[v.DataTime]; ok { if edbData.Value != v.Value { //更新指标数据 edbData.Value = v.Value //_, _ = to.Update(edbData, "Value") _ = to.Model(edbData).Select([]string{"Value"}).Updates(edbData).Error } } else { pjDataMap[v.DataTime] = v.Value pjEdbDataTimeList = append(pjEdbDataTimeList, v.DataTime) } //将新的数据存入已入库指标map里面,以便后续计算 nowEdbDataMap[v.DataTime] = v.Value } } //同比值指标map tbzEdbDataMap := make(map[string]float64) //同比值日期切片列表 tbzEdbDataTimeList := make([]string, 0) //同比值指标 { //第二个指标的数据列表 secondDataList, tmpErr := GetEdbDataListAllByTo(to, existItemB.FromSource, existItemB.FromSubSource, FindEdbDataListAllCond{ EdbInfoId: existItemB.FromEdbInfoId, StartDataTime: startCalculationDate.Format(utils.FormatDate), StartDataTimeCond: ">", }, 0) if tmpErr != nil { err = tmpErr return } for _, v := range secondDataList { tbzEdbDataMap[v.DataTime] = v.Value tbzEdbDataTimeList = append(tbzEdbDataTimeList, v.DataTime) } } sort.Strings(tbzEdbDataTimeList) // 遍历现有的数据,判断拼接指标中是否存在该日期数据,如果拼接指标无此数据,那么需要删除该日期数据(日期的判断:需要在开始计算日期之后) removeDateList := make([]string, 0) for nowEdbDate := range nowEdbDataMap { nowEdbDateTime, _ := time.ParseInLocation(utils.FormatDate, nowEdbDate, time.Local) //校验日期 需要 大于 拼接前日期 if startCalculationDate.Before(nowEdbDateTime) { if _, ok := tbzEdbDataMap[nowEdbDate]; !ok { // 同比指标中,不存在该日期数据,那么需要移除 现有数据 中该日期的数据 removeDateList = append(removeDateList, nowEdbDate) } } } //待修改的指标数据map(index:日期,value:值) updateEdbDataMap := make(map[string]float64) for _, v := range tbzEdbDataTimeList { tbzDataTime, _ := time.ParseInLocation(utils.FormatDate, v, time.Local) //获取拼接指标上一年同一天的数据 var pjDataTime time.Time if tbzDataTime.Month() == 2 { pjDataTime = tbzDataTime.AddDate(0, -11, 0) pjDataTime = time.Date(pjDataTime.Year(), pjDataTime.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 0, -1) } else { pjDataTime = tbzDataTime.AddDate(-1, 0, 0) } //校验现有数据中,是否存在该日期的数据,如果存在的话,那么就要去校验 最新计算数据 与 现有数据 是否一致 if nowEdbDataValue, isHas := nowEdbDataMap[v]; isHas { //获取去年今日的数据,获取到后,然后是去修改该日期的数据 if lastYearEdbDataValue, ok := nowEdbDataMap[pjDataTime.Format(utils.FormatDate)]; ok { tbzDataValue := tbzEdbDataMap[v] //同比值 currValue := lastYearEdbDataValue * (1 + tbzDataValue/100) currValue, _ = decimal.NewFromFloat(currValue).Truncate(4).Float64() //保留4位小数 //如果计算出来的值与库里面的值不匹配,那么就去修改该值 if nowEdbDataValue != currValue { //将计算后的数据存入待拼接指标map里面,以便后续计算 updateEdbDataMap[v] = currValue } } } else { //因为 现有数据中 不存在该日期数据,那么需要做新增数据处理 //如果去年今日存在该数据,那么就去计算当前的数据 if pjDataValue, ok := nowEdbDataMap[pjDataTime.Format(utils.FormatDate)]; ok { tbzDataValue := tbzEdbDataMap[v] //同比值 currValue := pjDataValue * (1 + tbzDataValue/100) currValue, _ = decimal.NewFromFloat(currValue).Truncate(4).Float64() //将计算后的数据存入已入库指标map里面,以便后续计算 nowEdbDataMap[v] = currValue //将计算后的数据存入待拼接指标map里面,以便后续入库 pjDataMap[v] = currValue pjEdbDataTimeList = append(pjEdbDataTimeList, v) } } } //新增的数据入库 { addDataList := make([]*EdbDataPredictCalculateLjztbpj, 0) //日期排序下 sort.Strings(pjEdbDataTimeList) //这么做的目的是为了让数据插入的时候,可以正序插入(业务上没啥卵用,就是为了让我看数据的时候舒服点,手动狗头-_-|) for _, dataTime := range pjEdbDataTimeList { if dataValue, ok := pjDataMap[dataTime]; ok { //时间戳 currentDate, _ := time.ParseInLocation(utils.FormatDate, dataTime, time.Local) timestamp := currentDate.UnixNano() / 1e6 edbDataLjztbpj := &EdbDataPredictCalculateLjztbpj{ EdbInfoId: edbInfo.EdbInfoId, EdbCode: edbInfo.EdbCode, DataTime: dataTime, Value: dataValue, Status: 1, CreateTime: time.Now(), ModifyTime: time.Now(), DataTimestamp: timestamp, } addDataList = append(addDataList, edbDataLjztbpj) } } //数据入库 if len(addDataList) > 0 { tmpErr := to.CreateInBatches(addDataList, 500).Error if tmpErr != nil { err = tmpErr return } } } //删除已经不存在的累计同比拼接指标数据(由于同比值当日的数据删除了) { if len(removeDateList) > 0 { 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(edbInfo.Source, edbInfo.SubSource) sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (%s) `, tableName, removeDateStr) err = to.Exec(sql, edbInfo.EdbInfoId).Error if err != nil { err = errors.New("删除不存在的累计值同比拼接指标数据失败,Err:" + err.Error()) return } } } //修改现有的数据中对应的值 { tableName := GetEdbDataTableName(edbInfo.Source, edbInfo.SubSource) for edbDate, edbDataValue := range updateEdbDataMap { sql := fmt.Sprintf(` UPDATE %s set value = ?,modify_time=now() WHERE edb_info_id = ? and data_time = ? `, tableName) err = to.Exec(sql, edbDataValue, edbInfo.EdbInfoId, edbDate).Error if err != nil { err = errors.New("更新现有的累计值同比拼接指标数据失败,Err:" + err.Error()) return } } } //确定最终值 var finalLast EdbInfoSearchData sql = ` SELECT data_time , value FROM edb_data_predict_calculate_ljztbpj WHERE edb_info_id=? and data_time<=? ORDER BY data_time DESC ` tmpErr := to.Raw(sql, edbInfo.EdbInfoId, latestDateStr).First(&finalLast).Error if tmpErr != nil { if tmpErr.Error() != utils.ErrNoRow() { err = tmpErr } return } else { latestDateStr = finalLast.DataTime latestValue = finalLast.Value } return }