package models import ( "encoding/json" "errors" "eta/eta_index_lib/utils" "fmt" "github.com/beego/beego/v2/client/orm" "github.com/shopspring/decimal" "reflect" "strconv" "strings" "time" ) // PredictPercentile 预测累计值年初至今 type PredictPercentile struct { } // Add 添加 func (obj PredictPercentile) Add(params BatchSaveCalculateBatchParams) (edbInfo *EdbInfo, latestDateStr string, latestValue float64, err error, errMsg string) { req := params.Req fromEdbInfo := params.FromEdbInfo edbCode := params.EdbCode o := orm.NewOrm() to, err := o.Begin() if err != nil { return } defer func() { if err != nil { _ = to.Rollback() fmt.Println(reflect.TypeOf(obj).Name(), ";Add,Err:"+err.Error()) } else { _ = to.Commit() } }() edbInfo = &EdbInfo{ //EdbInfoId: 0, SourceName: obj.GetSourceName(), Source: obj.GetSource(), EdbCode: edbCode, EdbName: req.EdbName, EdbNameSource: req.EdbName, Frequency: req.Frequency, Unit: req.Unit, StartDate: "", EndDate: "", ClassifyId: req.ClassifyId, SysUserId: params.SysUserId, SysUserRealName: params.SysUserRealName, UniqueCode: params.UniqueCode, CreateTime: time.Now(), ModifyTime: time.Now(), MinValue: 0, MaxValue: 0, CalculateFormula: req.Formula, EdbType: 2, Sort: GetAddEdbMaxSortByClassifyId(req.ClassifyId, utils.PREDICT_EDB_INFO_TYPE), MoveType: 0, MoveFrequency: "", NoUpdate: 0, ServerUrl: "", EdbInfoType: 1, EdbNameEn: req.EdbName, UnitEn: req.Unit, LatestDate: "", LatestValue: 0, ChartImage: "", Calendar: "", } newEdbInfoId, tmpErr := to.Insert(edbInfo) if tmpErr != nil { err = tmpErr return } edbInfo.EdbInfoId = int(newEdbInfoId) //关联关系 { calculateMappingItem := new(EdbInfoCalculateMapping) calculateMappingItem.CreateTime = time.Now() calculateMappingItem.ModifyTime = time.Now() calculateMappingItem.Sort = 1 calculateMappingItem.EdbCode = edbCode calculateMappingItem.EdbInfoId = edbInfo.EdbInfoId calculateMappingItem.FromEdbInfoId = fromEdbInfo.EdbInfoId calculateMappingItem.FromEdbCode = fromEdbInfo.EdbCode calculateMappingItem.FromEdbName = fromEdbInfo.EdbName calculateMappingItem.FromSource = fromEdbInfo.Source calculateMappingItem.FromSourceName = fromEdbInfo.SourceName calculateMappingItem.FromTag = "" calculateMappingItem.Source = edbInfo.Source calculateMappingItem.SourceName = edbInfo.SourceName _, err = to.Insert(calculateMappingItem) if err != nil { return } } //计算数据 latestDateStr, latestValue, err, errMsg = obj.refresh(to, edbInfo, fromEdbInfo, edbInfo.EdbCode, "") return } // Edit 编辑 func (obj PredictPercentile) Edit(params BatchSaveCalculateBatchParams) (latestDateStr string, latestValue float64, err error, errMsg string) { req := params.Req edbInfo := params.EdbInfo fromEdbInfo := params.FromEdbInfo latestDateStr = edbInfo.LatestDate latestValue = edbInfo.LatestValue o := orm.NewOrm() to, err := o.Begin() if err != nil { return } defer func() { if err != nil { _ = to.Rollback() fmt.Println(reflect.TypeOf(obj).Name(), ";Edit,Err:"+err.Error()) } else { _ = to.Commit() } }() tableName := GetEdbDataTableName(edbInfo.Source, edbInfo.SubSource) var isRecalculate bool if edbInfo.CalculateFormula != req.Formula { isRecalculate = true } //修改指标信息 switch params.Lang { case utils.EnLangVersion: edbInfo.EdbNameEn = req.EdbName edbInfo.UnitEn = req.Unit default: edbInfo.EdbName = req.EdbName edbInfo.Unit = req.Unit edbInfo.EdbNameSource = req.EdbName } edbInfo.Frequency = req.Frequency edbInfo.ClassifyId = req.ClassifyId edbInfo.CalculateFormula = req.Formula edbInfo.ModifyTime = time.Now() _, err = to.Update(edbInfo, "EdbName", "EdbNameSource", "Frequency", "Unit", "ClassifyId", "CalculateFormula", "ModifyTime", "EdbNameEn", "UnitEn") if err != nil { return } var existCondition string var existPars []interface{} existCondition += " AND edb_info_id=? AND from_edb_info_id=? " existPars = append(existPars, edbInfo.EdbInfoId, req.FromEdbInfoId) //判断计算指标是否被更换 count, err := GetEdbInfoCalculateCountByCondition(existCondition, existPars) if err != nil { err = errors.New("判断指标是否改变失败,Err:" + err.Error()) return } if count > 0 { // 指标未被替换,无需删除关联数据 // 频度被换了,需要重新计算 if isRecalculate { latestDateStr, latestValue, err, errMsg = obj.refresh(to, edbInfo, fromEdbInfo, edbInfo.EdbCode, "") } return } //删除,计算指标关联的,基础指标的关联关系 sql := ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id = ? ` _, err = to.Raw(sql, edbInfo.EdbInfoId).Exec() if err != nil { return } //清空原有数据 sql = ` DELETE FROM ` + tableName + ` WHERE edb_info_id = ? ` _, err = to.Raw(sql, edbInfo.EdbInfoId).Exec() if err != nil { return } //关联关系 { calculateMappingItem := &EdbInfoCalculateMapping{ EdbInfoCalculateMappingId: 0, EdbInfoId: edbInfo.EdbInfoId, Source: obj.GetSource(), SourceName: obj.GetSourceName(), EdbCode: edbInfo.EdbCode, FromEdbInfoId: fromEdbInfo.EdbInfoId, FromEdbCode: fromEdbInfo.EdbCode, FromEdbName: fromEdbInfo.EdbName, FromSource: fromEdbInfo.Source, FromSourceName: fromEdbInfo.SourceName, FromTag: "", Sort: 1, CreateTime: time.Now(), ModifyTime: time.Now(), } _, err = to.Insert(calculateMappingItem) if err != nil { return } } //计算数据 latestDateStr, latestValue, err, errMsg = obj.refresh(to, edbInfo, fromEdbInfo, edbInfo.EdbCode, "") return } // Refresh 刷新 func (obj PredictPercentile) Refresh(params RefreshParams) (latestDateStr string, latestValue float64, err error, errMsg string) { calculateMapping, err := GetEdbInfoCalculateMappingDetail(params.EdbInfo.EdbInfoId) if err != nil { return } fromEdbInfo, err := GetEdbInfoById(calculateMapping.FromEdbInfoId) if err != nil { errMsg = "GetEdbInfoById Err:" + err.Error() return } o := orm.NewOrm() to, err := o.Begin() if err != nil { return } defer func() { if err != nil { _ = to.Rollback() fmt.Println(reflect.TypeOf(obj).Name(), ";Refresh,Err:"+err.Error()) } else { _ = to.Commit() } }() // 计算数据 latestDateStr, latestValue, err, errMsg = obj.refresh(to, params.EdbInfo, fromEdbInfo, params.EdbInfo.EdbCode, params.StartDate) return } // GetSource 获取来源编码id func (obj PredictPercentile) GetSource() int { return utils.DATA_SOURCE_PREDICT_CALCULATE_PERCENTILE } // GetSourceName 获取来源名称 func (obj PredictPercentile) GetSourceName() string { return utils.DATA_SOURCE_NAME_PREDICT_CALCULATE_PERCENTILE } func (obj PredictPercentile) refresh(to orm.TxOrmer, edbInfo, fromEdbInfo *EdbInfo, edbCode, startDate string) (latestDateStr string, latestValue float64, err error, errMsg string) { edbInfoId := edbInfo.EdbInfoId dataTableName := GetEdbDataTableName(edbInfo.Source, edbInfo.SubSource) edbInfoIdStr := strconv.Itoa(edbInfoId) var percentileConfig PercentileConfig err = json.Unmarshal([]byte(edbInfo.CalculateFormula), &percentileConfig) if err != nil { return } // 获取百分位的指标数据 fromDataList, err, errMsg := obj.getPercentileData(fromEdbInfo, percentileConfig.CalculateValue, percentileConfig.CalculateUnit) if err != nil { return } //获取指标所有数据 existDataList := make([]*EdbData, 0) sql := `SELECT * FROM %s WHERE edb_info_id=? ` sql = fmt.Sprintf(sql, dataTableName) _, err = to.Raw(sql, edbInfoId).QueryRows(&existDataList) if err != nil { return } existDataMap := make(map[string]string) removeDataTimeMap := make(map[string]int) //需要移除的日期数据 for _, v := range existDataList { existDataMap[v.DataTime] = v.Value removeDataTimeMap[v.DataTime] = 1 } needAddDateMap := make(map[time.Time]int) addSql := ` INSERT INTO ` + dataTableName + `(edb_info_id,edb_code,data_time,value,create_time,modify_time,data_timestamp) values ` var isAdd bool for _, tmpData := range fromDataList { currDateStr := tmpData.DataTime currTime, tmpErr := time.ParseInLocation(utils.FormatDate, currDateStr, time.Local) if tmpErr != nil { err = tmpErr return } // 当前的实际值 saveValue := decimal.NewFromFloat(tmpData.Value).Round(4).String() existVal, ok := existDataMap[currDateStr] // 如果库中已经存在该数据的话,那么就进行值的变更操作 if ok { //校验待删除日期数据里面是否存在该元素,如果存在的话,那么移除该日期 delete(removeDataTimeMap, currDateStr) if existVal != 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, currDateStr).Exec() if err != nil { return } } continue } // 库中不存在该日期的数据 timestamp := currTime.UnixNano() / 1e6 timeStr := fmt.Sprintf("%d", timestamp) if _, existOk := needAddDateMap[currTime]; !existOk { addSql += GetAddSql(edbInfoIdStr, edbCode, currDateStr, timeStr, saveValue) isAdd = true } needAddDateMap[currTime] = 1 } //删除已经不存在的指标数据(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 { sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (`+utils.GetOrmInReplace(removeNum)+`) `, dataTableName) _, err = to.Raw(sql, edbInfo.EdbInfoId, removeDateList).Exec() if err != nil { fmt.Println(reflect.TypeOf(obj).Name(), " add data ;delete Err", err.Error()) err = fmt.Errorf("删除不存在的指标数据失败,Err:" + err.Error()) return } } } if isAdd { addSql = strings.TrimRight(addSql, ",") _, err = to.Raw(addSql).Exec() if err != nil { fmt.Println(reflect.TypeOf(obj).Name(), " add data Err", err.Error()) return } } //确定实际数据的最终值 { finalLast, tmpErr := GetFinalLastByTo(to, edbInfoId, edbInfo.Source, edbInfo.SubSource, fromEdbInfo.LatestDate) if tmpErr != nil && tmpErr.Error() != utils.ErrNoRow() { return } if tmpErr == nil { latestDateStr = finalLast.DataTime latestValue = finalLast.Value } } return } // GetPercentileData 获取百分位的指标数据 func (obj PredictPercentile) getPercentileData(fromEdbInfo *EdbInfo, calculateValue int, calculateUnit string) (newDataList []EdbInfoSearchData, err error, errMsg string) { // 获取时间基准指标在时间区间内的值 dataList := make([]*EdbInfoSearchData, 0) switch fromEdbInfo.EdbInfoType { case 0: //获取来源指标的数据 dataList, err = GetEdbDataListAll(fromEdbInfo.Source, fromEdbInfo.SubSource, FindEdbDataListAllCond{ EdbInfoId: fromEdbInfo.EdbInfoId, }, 1) case 1: dataList, err = GetPredictEdbDataListAllByStartDate(fromEdbInfo, 1, "") default: err = errors.New(fmt.Sprint("获取失败,指标base类型异常", fromEdbInfo.EdbInfoType)) return } moveUnitDays, ok := utils.FrequencyDaysMap[calculateUnit] if !ok { errMsg = `错误的周期` err = errors.New(errMsg) return } calculateDay := calculateValue * moveUnitDays // 指标对应的所有数据 newDataList = make([]EdbInfoSearchData, 0) dataMap := make(map[time.Time]float64, 0) for _, tmpData := range dataList { currDateTime, _ := time.ParseInLocation(utils.FormatDate, tmpData.DataTime, time.Local) dataMap[currDateTime] = tmpData.Value } //百分位:对所选指标滚动地取对应时间长度的数据值,取最大值Max,最小值Min,计算Max-Min,百分位=(现值-Min)/(Max-Min),Max=Min时不予计算。 for i, tmpData := range dataList { currDateTime, _ := time.ParseInLocation(utils.FormatDate, tmpData.DataTime, time.Local) maxVal := tmpData.Value minVal := tmpData.Value for k := 0; k < calculateDay; k++ { preVal, ok2 := dataMap[currDateTime.AddDate(0, 0, -k)] if ok2 { if preVal > maxVal { maxVal = preVal } if preVal < minVal { minVal = preVal } } } if maxVal == minVal { continue } tmpV := (tmpData.Value - minVal) / (maxVal - minVal) * 100 tmpV, _ = decimal.NewFromFloat(tmpV).Round(4).Float64() //百分位=(现值-Min)/(Max-Min) newDataList = append(newDataList, EdbInfoSearchData{ EdbDataId: i, DataTime: dataList[i].DataTime, Value: tmpV, }) } return }