package models import ( "errors" "eta/eta_index_lib/utils" "fmt" "github.com/beego/beego/v2/client/orm" "github.com/shopspring/decimal" "reflect" "strconv" "strings" "time" ) // PredictLjzNczj 预测累计值年初至今 type PredictLjzNczj struct { } // Add 添加 func (obj PredictLjzNczj) Add(params BatchSaveCalculateBatchParams) (edbInfo *EdbInfo, latestDateStr string, latestValue float64, err error, errMsg string) { req := params.Req fromEdbInfo := params.FromEdbInfo edbCode := params.EdbCode if fromEdbInfo.Frequency == `年度` { errMsg = "年初至今累计值计算中,可选指标范围为非年度指标" err = errors.New(errMsg) return } if fromEdbInfo.Frequency != req.Frequency { errMsg = "生成指标频度与原指标频度不同" err = errors.New(errMsg) 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(), ";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 = obj.refresh(to, edbInfo.EdbInfoId, edbInfo.Source, edbInfo.SubSource, edbInfo, fromEdbInfo, edbInfo.EdbCode, "") return } // Edit 编辑 func (obj PredictLjzNczj) Edit(params BatchSaveCalculateBatchParams) (latestDateStr string, latestValue float64, err error, errMsg string) { req := params.Req edbInfo := params.EdbInfo fromEdbInfo := params.FromEdbInfo if fromEdbInfo.Frequency == `年度` { errMsg = "年初至今累计值计算中,可选指标范围为非年度指标" err = errors.New(errMsg) return } if fromEdbInfo.Frequency != req.Frequency { errMsg = "生成指标频度与原指标频度不同" err = errors.New(errMsg) return } 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.Frequency != req.Frequency { 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.ModifyTime = time.Now() _, err = to.Update(edbInfo, "EdbName", "EdbNameSource", "Frequency", "Unit", "ClassifyId", "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 = obj.refresh(to, edbInfo.EdbInfoId, edbInfo.Source, edbInfo.SubSource, 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 = obj.refresh(to, edbInfo.EdbInfoId, edbInfo.Source, edbInfo.SubSource, edbInfo, fromEdbInfo, edbInfo.EdbCode, "") return } // Refresh 刷新 func (obj PredictLjzNczj) Refresh(params RefreshParams) (latestDateStr string, latestValue float64, err error, errMsg string) { calculateMapping, err := GetEdbInfoCalculateMappingDetail(params.EdbInfo.EdbInfoId) if err != nil { errMsg = "GetEdbInfoCalculatePredictLjzNczjzyDetail Err:" + err.Error() 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 = obj.refresh(to, params.EdbInfo.EdbInfoId, params.EdbInfo.Source, params.EdbInfo.SubSource, params.EdbInfo, fromEdbInfo, params.EdbInfo.EdbCode, params.StartDate) return } // GetSource 获取来源编码id func (obj PredictLjzNczj) GetSource() int { return utils.DATA_SOURCE_PREDICT_CALCULATE_LJZNCZJ } // GetSourceName 获取来源名称 func (obj PredictLjzNczj) GetSourceName() string { return utils.DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZNCZJ } func (obj PredictLjzNczj) refresh(to orm.TxOrmer, edbInfoId, source, subSource int, edbInfo, fromEdbInfo *EdbInfo, edbCode, startDate string) (latestDateStr string, latestValue float64, err error) { dataTableName := GetEdbDataTableName(source, subSource) edbInfoIdStr := strconv.Itoa(edbInfoId) var isWeekData bool // 是否周度数据,如果是周度数据的话,是需要变频的,最后结果还需要除以7 // 周度数据需要先变成日度的 if fromEdbInfo.Frequency == `周度` { isWeekData = true } dataList, err := GetPredictEdbDataListAll(fromEdbInfo, 1) if err != nil { return } fromEdbDataMap := make(map[string]float64) if isWeekData { dataList, err = HandleDataByLinearRegression(dataList, fromEdbDataMap) if err != nil { return } } //日度数据年初至今:日期同原日度数据。将每年1月1日(含)到日度数据所在日期含间的日度值,进行加总。 //周度数据年初至今:日期同原周度数据。将周度值转成日度频率,空值用插值法插值,然后算法同日度年度至今,再除以7 //月度/季度数据年初至今:日期同原月度/季度数据,将每年1月1日(含)到月度数据所在日期(含)之间的月度/季度值,进行加总 //以此类推 dateList := make([]time.Time, 0) valueMap := make(map[time.Time]float64) yearMap := make(map[int]float64) switch edbInfo.Frequency { case "周度": tmpDateDataMap := make(map[time.Time]float64) tmpDateList := make([]time.Time, 0) for _, item := range dataList { itemDate, tmpErr := time.ParseInLocation(utils.FormatDate, item.DataTime, time.Local) if tmpErr != nil { err = tmpErr return } var currTime time.Time // 周六周日,这是下一个周五的数据 if itemDate.Weekday() == 0 { currTime = itemDate.AddDate(0, 0, 5) } else if itemDate.Weekday() == 6 { currTime = itemDate.AddDate(0, 0, 6) } else { currTime = itemDate.AddDate(0, 0, 5-int(itemDate.Weekday())) } year := itemDate.Year() yearVal, ok := yearMap[year] if ok { yearMap[year] = item.Value + yearVal } else { yearMap[year] = item.Value } if itemDate.Equal(currTime) { tmpDateDataMap[itemDate] = yearMap[year] tmpDateList = append(tmpDateList, itemDate) } } for _, currTime := range tmpDateList { dateList = append(dateList, currTime) valueMap[currTime] = tmpDateDataMap[currTime] } default: for _, item := range dataList { itemDate, tmpErr := time.ParseInLocation(utils.FormatDate, item.DataTime, time.Local) if tmpErr != nil { err = tmpErr return } year := itemDate.Year() yearVal, ok := yearMap[year] if ok { yearMap[year] = item.Value + yearVal } else { yearMap[year] = item.Value } valueMap[itemDate] = yearMap[year] dateList = append(dateList, itemDate) } } //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 _, currTime := range dateList { currDateStr := currTime.Format(utils.FormatDate) existVal, ok := existDataMap[currDateStr] tmpVal, ok2 := valueMap[currTime] if !ok2 { err = errors.New("数据异常,date:" + currDateStr) return } var saveValue string if isWeekData { //周度指标转的话,最后结果要除以7 saveValue = decimal.NewFromFloat(tmpVal).Div(decimal.NewFromInt(7)).Round(4).String() } else { saveValue = decimal.NewFromFloat(tmpVal).Round(4).String() } // 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 { var finalLast EdbInfoSearchData sql = fmt.Sprintf(` SELECT data_time , value FROM %s WHERE edb_info_id=? and data_time<=? ORDER BY data_time DESC `, dataTableName) err = to.Raw(sql, edbInfoId, fromEdbInfo.LatestDate).QueryRow(&finalLast) if err != nil && err.Error() != utils.ErrNoRow() { return } else { latestDateStr = finalLast.DataTime latestValue = finalLast.Value } if err != nil { err = nil } else { latestDateStr = finalLast.DataTime latestValue = finalLast.Value } } return }