package data import ( "encoding/json" "errors" "eta_gn/eta_api/models/data_manage" "eta_gn/eta_api/models/system" "eta_gn/eta_api/services/data/data_manage_permission" "eta_gn/eta_api/utils" "fmt" "github.com/shopspring/decimal" "strconv" "time" ) func RefreshPredictEdbInfo(edbInfoId int, refreshAll bool) (edbInfo *data_manage.EdbInfo, isAsync bool, err error, errMsg string) { { edbInfo, err = data_manage.GetEdbInfoById(edbInfoId) if err != nil && !utils.IsErrNoRow(err) { errMsg = "刷新失败" err = errors.New("获取预测指标失败,Err:" + err.Error()) return } if edbInfo == nil { errMsg = "找不到该预测指标" err = nil return } if edbInfo.EdbInfoType != 1 { errMsg = "指标异常,不是预测指标" return } } err, isAsync = EdbInfoRefreshAllFromBaseV2(edbInfo.EdbInfoId, refreshAll, false) return } func MovePredictEdbInfo(edbInfoId, classifyId, prevEdbInfoId, nextEdbInfoId int, sysUser *system.Admin, requestBody, requestUrl string) (err error, errMsg string) { count, _ := data_manage.GetEdbClassifyCountById(classifyId) if count <= 0 { errMsg = "分类已被删除,不可移动,请刷新页面" return } edbInfo, err := data_manage.GetEdbInfoById(edbInfoId) if err != nil { if err != nil && !utils.IsErrNoRow(err) { errMsg = "移动失败" err = errors.New("获取预测指标失败,Err:" + err.Error()) return } if edbInfo == nil { errMsg = "找不到该预测指标" err = nil return } return } var haveOperaAuth bool { haveOperaAuth, err = data_manage_permission.CheckEdbPermissionByEdbInfoId(edbInfo.EdbInfoId, edbInfo.ClassifyId, edbInfo.IsJoinPermission, sysUser.AdminId) if err != nil { errMsg = "移动失败" err = errors.New("校验指标权限失败,Err:" + err.Error()) return } } button := GetEdbOpButton(sysUser, edbInfo.SysUserId, edbInfo.EdbType, edbInfo.EdbInfoType, haveOperaAuth) if !button.MoveButton { errMsg = "无权限操作" err = nil return } if edbInfo.ClassifyId != classifyId { err = data_manage.MoveEdbInfo(edbInfoId, classifyId) if err != nil { errMsg = "移动失败" err = errors.New("移动预测指标失败,Err:" + err.Error()) return } } updateCol := make([]string, 0) if prevEdbInfoId > 0 { prevEdbInfo, tmpErr := data_manage.GetEdbInfoById(prevEdbInfoId) if tmpErr != nil { errMsg = "移动失败" err = errors.New("获取上一个兄弟节点分类信息失败,Err:" + tmpErr.Error()) return } if nextEdbInfoId > 0 { nextEdbInfo, tmpErr := data_manage.GetEdbInfoById(nextEdbInfoId) if tmpErr != nil { errMsg = "移动失败" err = errors.New("获取下一个兄弟节点分类信息失败,Err:" + tmpErr.Error()) return } if prevEdbInfo.Sort == nextEdbInfo.Sort || prevEdbInfo.Sort == edbInfo.Sort { updateSortStr := `sort + 2` _ = data_manage.UpdateEdbInfoSortByClassifyId(prevEdbInfo.ClassifyId, prevEdbInfo.Sort, prevEdbInfo.EdbInfoId, updateSortStr) } else { if nextEdbInfo.Sort-prevEdbInfo.Sort == 1 { updateSortStr := `sort + 1` _ = data_manage.UpdateEdbInfoSortByClassifyId(prevEdbInfo.ClassifyId, prevEdbInfo.Sort, prevEdbInfo.EdbInfoId, updateSortStr) } } } edbInfo.Sort = prevEdbInfo.Sort + 1 edbInfo.ModifyTime = time.Now() updateCol = append(updateCol, "Sort", "ModifyTime") } else { firstClassify, tmpErr := data_manage.GetFirstEdbInfoByClassifyId(classifyId) if tmpErr != nil && !utils.IsErrNoRow(tmpErr) { errMsg = "移动失败" err = errors.New("获取获取当前父级分类下的排序第一条的分类信息失败,Err:" + err.Error()) return } if firstClassify != nil && firstClassify.ClassifyId > 0 && firstClassify.Sort == 0 { updateSortStr := ` sort + 1 ` _ = data_manage.UpdateEdbInfoSortByClassifyId(firstClassify.ClassifyId, 0, firstClassify.EdbInfoId-1, updateSortStr) } edbInfo.Sort = 0 //那就是排在第一位 edbInfo.ModifyTime = time.Now() updateCol = append(updateCol, "Sort", "ModifyTime") } if len(updateCol) > 0 { err = edbInfo.Update(updateCol) } if err != nil { errMsg = "移动失败" err = errors.New("修改失败,Err:" + err.Error()) return } { edbLog := new(data_manage.EdbInfoLog) edbLog.EdbInfoId = edbInfo.EdbInfoId edbLog.SourceName = edbInfo.SourceName edbLog.Source = edbInfo.Source edbLog.EdbCode = edbInfo.EdbCode edbLog.EdbName = edbInfo.EdbName edbLog.ClassifyId = edbInfo.ClassifyId edbLog.SysUserId = sysUser.AdminId edbLog.SysUserRealName = sysUser.RealName edbLog.CreateTime = time.Now() edbLog.Content = requestBody edbLog.Status = "移动指标" edbLog.Method = requestUrl go data_manage.AddEdbInfoLog(edbLog) } return } func GetChartPredictEdbInfoDataListByConfList(predictEdbConfList []data_manage.PredictEdbConfAndData, filtrateStartDateStr, latestDateStr, endDateStr, frequency, dataDateType string, realPredictEdbInfoData []*data_manage.EdbDataList) (predictEdbInfoData []*data_manage.EdbDataList, minValue, maxValue float64, err error, errMsg string) { endDate, err := time.ParseInLocation(utils.FormatDate, endDateStr, time.Local) if err != nil { return } latestDate, err := time.ParseInLocation(utils.FormatDate, latestDateStr, time.Local) if err != nil { return } startDate := latestDate if filtrateStartDateStr != `` { filtrateStartDate, tmpErr := time.ParseInLocation(utils.FormatDate, filtrateStartDateStr, time.Local) if tmpErr != nil { err = tmpErr return } if filtrateStartDate.After(latestDate) { startDate = filtrateStartDate.AddDate(0, 0, -1) } } existMap := make(map[string]float64) for _, v := range realPredictEdbInfoData { existMap[v.DataTime] = v.Value } predictEdbInfoData = make([]*data_manage.EdbDataList, 0) for _, predictEdbConf := range predictEdbConfList { dataEndTime := endDate if predictEdbConf.EndDate.Before(dataEndTime) { dataEndTime = predictEdbConf.EndDate } var tmpMinValue, tmpMaxValue float64 // 当前预测结果中的最大/最小值 dayList := getPredictEdbDayList(startDate, dataEndTime, frequency, dataDateType) if len(dayList) <= 0 { // 如果未来没有日期的话,那么就退出当前循环,进入下一个循环 continue } switch predictEdbConf.RuleType { case 1: //1:最新 var lastDataValue float64 //最新值 tmpAllData := make([]*data_manage.EdbDataList, 0) tmpAllData = append(tmpAllData, realPredictEdbInfoData...) tmpAllData = append(tmpAllData, predictEdbInfoData...) lenTmpAllData := len(tmpAllData) if lenTmpAllData > 0 { lastDataValue = tmpAllData[lenTmpAllData-1].Value } predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, lastDataValue, dayList, predictEdbInfoData, existMap) tmpMaxValue = lastDataValue tmpMinValue = lastDataValue case 2: //2:固定值 tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value) if tmpErr != nil { err = tmpErr return } dataValue, _ := tmpValDecimal.Float64() predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, dataValue, dayList, predictEdbInfoData, existMap) tmpMaxValue = dataValue tmpMinValue = dataValue case 3: //3:同比 tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value) if tmpErr != nil { err = tmpErr return } tbValue, _ := tmpValDecimal.Float64() predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTb(predictEdbConf.PredictEdbInfoId, tbValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap) case 4: //4:同差 tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value) if tmpErr != nil { err = tmpErr return } tcValue, _ := tmpValDecimal.Float64() predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTc(predictEdbConf.PredictEdbInfoId, tcValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap) case 5: //5:环比 tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value) if tmpErr != nil { err = tmpErr return } hbValue, _ := tmpValDecimal.Float64() predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHb(predictEdbConf.PredictEdbInfoId, hbValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap) case 6: //6:环差 tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value) if tmpErr != nil { err = tmpErr return } hcValue, _ := tmpValDecimal.Float64() predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHc(predictEdbConf.PredictEdbInfoId, hcValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap) case 7: //7:N期移动均值 nValue, tmpErr := strconv.Atoi(predictEdbConf.Value) if tmpErr != nil { err = tmpErr return } predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleNMoveMeanValue(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap) case 8: //8:N期段线性外推值 nValue, tmpErr := strconv.Atoi(predictEdbConf.Value) if tmpErr != nil { err = tmpErr return } if nValue <= 1 { errMsg = `N期段线性外推值的N值必须大于1` err = errors.New(errMsg) return } predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNLinearRegression(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap) if err != nil { return } case 9: //9:动态环差”预测规则; hcDataMap := make(map[string]float64) if predictEdbConf.PredictEdbInfoId > 0 { //已经生成的动态数据 tmpPredictEdbRuleDataList, tmpErr := data_manage.GetPredictEdbRuleDataList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate)) if tmpErr != nil { err = tmpErr return } for _, v := range tmpPredictEdbRuleDataList { hcDataMap[v.DataTime] = v.Value } } else { //未生成的动态数据,需要使用外部传入的数据进行计算 if len(predictEdbConf.DataList) <= 0 { return } for _, v := range predictEdbConf.DataList { currentDate, tmpErr := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local) if tmpErr != nil { continue } if currentDate.Before(startDate) || currentDate.After(endDate) { continue } hcDataMap[v.DataTime] = v.Value } } predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTrendsHC(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, hcDataMap, existMap) case 10: //10:根据 给定终值后插值 规则获取预测数据 tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value) if tmpErr != nil { err = tmpErr return } finalValue, _ := tmpValDecimal.Float64() predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleFinalValueHc(predictEdbConf.PredictEdbInfoId, finalValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap) case 11: //11:根据 季节性 规则获取预测数据 predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleSeason(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap) if err != nil { return } case 12: //12:根据 移动平均同比 规则获取预测数据 var moveAverageConf MoveAverageConf tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &moveAverageConf) if tmpErr != nil { err = errors.New("季节性配置信息异常:" + tmpErr.Error()) return } predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleMoveAverageTb(predictEdbConf.PredictEdbInfoId, moveAverageConf.NValue, moveAverageConf.Year, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap) if err != nil { return } case 13: //13:根据 同比增速差值 规则获取预测数据 tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value) if tmpErr != nil { err = tmpErr return } tbEndValue, _ := tmpValDecimal.Float64() predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTbzscz(predictEdbConf.PredictEdbInfoId, tbEndValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap) case 14: //14:根据 一元线性拟合 规则获取预测数据 var ruleConf RuleLineNhConf err = json.Unmarshal([]byte(predictEdbConf.Value), &ruleConf) if err != nil { err = errors.New("一元线性拟合配置信息异常:" + err.Error()) return } newNhccDataMap := make(map[string]float64) if predictEdbConf.PredictEdbInfoId > 0 { //已经生成的动态数据 tmpPredictEdbRuleDataList, tmpErr := data_manage.GetPredictEdbRuleDataList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, "", "") if tmpErr != nil { err = tmpErr return } for _, v := range tmpPredictEdbRuleDataList { newNhccDataMap[v.DataTime] = v.Value } } else { //未生成的动态数据,需要使用外部传入的数据进行计算 newNhccDataMap, err = getCalculateNhccData(append(realPredictEdbInfoData, predictEdbInfoData...), ruleConf) if err != nil { return } } predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleLineNh(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, newNhccDataMap, existMap) if err != nil { return } case 15: //15:N年均值:过去N年同期均值。过去N年可以连续或者不连续,指标数据均用线性插值补全为日度数据后计算; predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNAnnualAverage(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap) if err != nil { return } case 16: //16:年度值倒推 predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleAnnualValueInversion(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap) if err != nil { return } } { lenPredictEdbInfoData := len(predictEdbInfoData) if lenPredictEdbInfoData > 0 { tmpDataEndTime, _ := time.ParseInLocation(utils.FormatDate, predictEdbInfoData[lenPredictEdbInfoData-1].DataTime, time.Local) if startDate.Before(tmpDataEndTime) { startDate = tmpDataEndTime } } } if tmpMinValue < minValue { minValue = tmpMinValue } if tmpMaxValue > maxValue { maxValue = tmpMaxValue } } return } func getPredictEdbDayList(startDate, endDate time.Time, frequency, dataDateType string) (dayList []time.Time) { if dataDateType == `` { dataDateType = `交易日` } switch frequency { case "日度": for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 1) { if dataDateType == `交易日` && (currDate.Weekday() == time.Sunday || currDate.Weekday() == time.Saturday) { continue } dayList = append(dayList, currDate) } case "周度": for currDate := startDate.AddDate(0, 0, 7); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 7) { dayList = append(dayList, currDate) } case "旬度": for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); { nextDate := currDate.AddDate(0, 0, 1) if nextDate.Day() == 11 || nextDate.Day() == 21 || nextDate.Day() == 1 { dayList = append(dayList, currDate) } currDate = nextDate } case "月度": for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); { currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1) if !currDate.After(endDate) && !currDate.Equal(startDate) { dayList = append(dayList, currDate) } currDate = currDate.AddDate(0, 0, 1) } case "季度": for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); { currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1) if !currDate.After(endDate) && !currDate.Equal(startDate) { if currDate.Month() == 3 || currDate.Month() == 6 || currDate.Month() == 9 || currDate.Month() == 12 { dayList = append(dayList, currDate) } } currDate = currDate.AddDate(0, 0, 1) } case "半年度": for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); { currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1) if !currDate.After(endDate) && !currDate.Equal(startDate) { if currDate.Month() == 6 || currDate.Month() == 12 { dayList = append(dayList, currDate) } } currDate = currDate.AddDate(0, 0, 1) } case "年度": for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); { currDate = time.Date(currDate.Year()+1, 12, 31, 0, 0, 0, 0, time.Now().Location()) if !currDate.After(endDate) && !currDate.Equal(startDate) { dayList = append(dayList, currDate) } } } return } func GetPredictDataListByPredictEdbInfoId(edbInfoId int, startDate, endDate string, isTimeBetween bool) (edbInfo *data_manage.EdbInfo, dataList []*data_manage.EdbDataList, sourceEdbInfoItem *data_manage.EdbInfo, predictEdbConf *data_manage.PredictEdbConf, err error, errMsg string) { edbInfo, err = data_manage.GetEdbInfoById(edbInfoId) if err != nil { errMsg = `获取预测指标信息失败` return } dataList, sourceEdbInfoItem, predictEdbConf, err, errMsg = GetPredictDataListByPredictEdbInfo(edbInfo, startDate, endDate, isTimeBetween) return } func GetPredictDataListByPredictEdbInfo(edbInfo *data_manage.EdbInfo, startDate, endDate string, isTimeBetween bool) (dataList []*data_manage.EdbDataList, sourceEdbInfoItem *data_manage.EdbInfo, predictEdbConf *data_manage.PredictEdbConf, err error, errMsg string) { if !isTimeBetween { //如果不是区间数据,那么就结束日期为空 endDate = `` } return GetPredictCalculateDataListByPredictEdbInfo(edbInfo, startDate, endDate) if edbInfo.EdbType != 1 { if !isTimeBetween { //如果不是区间数据,那么就结束日期为空 endDate = `` } return GetPredictCalculateDataListByPredictEdbInfo(edbInfo, startDate, endDate) } predictEdbConfList, err := data_manage.GetPredictEdbConfListById(edbInfo.EdbInfoId) if err != nil && !utils.IsErrNoRow(err) { errMsg = "获取预测指标配置信息失败" return } if len(predictEdbConfList) == 0 { errMsg = "获取预测指标配置信息失败" err = errors.New(errMsg) return } predictEdbConf = predictEdbConfList[0] sourceEdbInfoItem, err = data_manage.GetEdbInfoById(predictEdbConf.SourceEdbInfoId) if err != nil { if utils.IsErrNoRow(err) { errMsg = "找不到来源指标信息" err = errors.New(errMsg) } return } allDataList := make([]*data_manage.EdbDataList, 0) dataList, err = data_manage.GetEdbDataList(sourceEdbInfoItem.Source, sourceEdbInfoItem.SubSource, sourceEdbInfoItem.EdbInfoId, startDate, endDate) if err != nil { return } if startDate != `` { allDataList, err = data_manage.GetEdbDataList(sourceEdbInfoItem.Source, sourceEdbInfoItem.SubSource, sourceEdbInfoItem.EdbInfoId, "", "") if err != nil { return } } else { allDataList = dataList } predictDataList := make([]*data_manage.EdbDataList, 0) endDateStr := utils.TimeToFormatDate(edbInfo.EndDate) //预测指标的结束日期 if isTimeBetween && endDate != `` { //如果是时间区间,同时截止日期不为空的情况,那么 reqEndDateTime, _ := time.ParseInLocation(utils.FormatDate, endDate, time.Local) endDateTime := edbInfo.EndDate if reqEndDateTime.Before(endDateTime) { endDateStr = endDate } } predictEdbConfDataList := make([]data_manage.PredictEdbConfAndData, 0) for _, v := range predictEdbConfList { predictEdbConfDataList = append(predictEdbConfDataList, data_manage.PredictEdbConfAndData{ ConfigId: v.ConfigId, PredictEdbInfoId: v.PredictEdbInfoId, SourceEdbInfoId: v.SourceEdbInfoId, RuleType: v.RuleType, FixedValue: v.FixedValue, Value: v.Value, EndDate: v.EndDate, ModifyTime: v.ModifyTime, CreateTime: v.CreateTime, DataList: make([]*data_manage.EdbDataList, 0), }) } predictDataList, _, _, err, _ = GetChartPredictEdbInfoDataListByConfList(predictEdbConfDataList, startDate, sourceEdbInfoItem.LatestDate, endDateStr, edbInfo.Frequency, edbInfo.DataDateType, allDataList) if err != nil { return } dataList = append(dataList, predictDataList...) return } func GetChartDataList(dataList []*data_manage.EdbDataList, chartType int, calendar, latestDateStr, startDate string) (resultDataList interface{}, err error) { startDateReal := startDate calendarPreYear := 0 if calendar == "农历" { newStartDateReal, err := time.Parse(utils.FormatDate, startDateReal) if err != nil { fmt.Println("time.Parse:" + err.Error()) } calendarPreYear = newStartDateReal.Year() - 1 newStartDateReal = newStartDateReal.AddDate(-1, 0, 0) startDateReal = newStartDateReal.Format(utils.FormatDate) } latestDate, tmpErr := time.Parse(utils.FormatDate, latestDateStr) if tmpErr != nil { err = errors.New(fmt.Sprint("获取最后实际数据的日期失败,Err:" + tmpErr.Error() + ";LatestDate:" + latestDateStr)) return } latestDateYear := latestDate.Year() //实际数据截止年份 if chartType == 1 { resultDataList = dataList return } if calendar == "农历" { if len(dataList) <= 0 { resultDataList = data_manage.EdbDataResult{} } else { result, tmpErr := data_manage.AddCalculateQuarterV4(dataList) if tmpErr != nil { err = errors.New("获取农历数据失败,Err:" + tmpErr.Error()) return } for k, edbDataItems := range result.List { var cuttingDataTimestamp int64 cuttingDataTimeStr := latestDate.AddDate(0, 0, edbDataItems.BetweenDay).Format(utils.FormatDate) if edbDataItems.Year >= latestDateYear { for _, tmpData := range edbDataItems.Items { if tmpData.DataTime == cuttingDataTimeStr { cuttingDataTimestamp = tmpData.DataTimestamp break } } } edbDataItems.CuttingDataTimestamp = cuttingDataTimestamp result.List[k] = edbDataItems } if result.List[0].Year != calendarPreYear { itemList := make([]*data_manage.EdbDataList, 0) items := new(data_manage.EdbDataItems) items.Items = itemList newResult := new(data_manage.EdbDataResult) newResult.List = append(newResult.List, items) newResult.List = append(newResult.List, result.List...) resultDataList = newResult } else { resultDataList = result } } } else { currentYear := time.Now().Year() quarterDataList := make([]*data_manage.QuarterData, 0) quarterMap := make(map[int][]*data_manage.EdbDataList) var quarterArr []int for _, v := range dataList { itemDate, tmpErr := time.Parse(utils.FormatDate, v.DataTime) if tmpErr != nil { err = errors.New("季度指标日期转换,Err:" + tmpErr.Error() + ";DataTime:" + v.DataTime) return } year := itemDate.Year() newItemDate := itemDate.AddDate(currentYear-year, 0, 0) timestamp := newItemDate.UnixNano() / 1e6 v.DataTimestamp = timestamp if findVal, ok := quarterMap[year]; !ok { quarterArr = append(quarterArr, year) findVal = append(findVal, v) quarterMap[year] = findVal } else { findVal = append(findVal, v) quarterMap[year] = findVal } } for _, v := range quarterArr { itemList := quarterMap[v] quarterItem := new(data_manage.QuarterData) quarterItem.Year = v quarterItem.DataList = itemList if v == latestDateYear { var cuttingDataTimestamp int64 for _, tmpData := range itemList { if tmpData.DataTime == latestDateStr { cuttingDataTimestamp = tmpData.DataTimestamp break } } quarterItem.CuttingDataTimestamp = cuttingDataTimestamp } else if v > latestDateYear { if len(itemList) > 0 { quarterItem.CuttingDataTimestamp = itemList[0].DataTimestamp - 100 } } quarterDataList = append(quarterDataList, quarterItem) } resultDataList = quarterDataList } return } func GetPredictCalculateDataListByPredictEdbInfo(edbInfo *data_manage.EdbInfo, startDate, endDate string) (dataList []*data_manage.EdbDataList, sourceEdbInfoItem *data_manage.EdbInfo, predictEdbConf *data_manage.PredictEdbConf, err error, errMsg string) { dataList, err = data_manage.GetEdbDataList(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbInfoId, startDate, endDate) return } func ModifyPredictEdbBaseInfoBySourceEdb(sourceEDdbInfo *data_manage.EdbInfo, frequency, unit string) { list, err := data_manage.GetGroupPredictEdbBySourceEdbInfoId(sourceEDdbInfo.EdbInfoId) if err != nil { return } for _, v := range list { v.Frequency = frequency v.Unit = unit v.Update([]string{"Frequency", "Unit"}) AddOrEditEdbInfoToEs(v.EdbInfoId) } } func ModifyPredictEdbEnBaseInfoBySourceEdb(sourceEDdbInfo *data_manage.EdbInfo, unitEn string) { list, err := data_manage.GetGroupPredictEdbBySourceEdbInfoId(sourceEDdbInfo.EdbInfoId) if err != nil { return } for _, v := range list { v.UnitEn = unitEn v.Update([]string{"UnitEn"}) AddOrEditEdbInfoToEs(v.EdbInfoId) } } func ModifyPredictEdbUnitBySourceEdbInfoId(sourceEdbInfoId int, frequency, unit string) (err error) { list, err := data_manage.GetGroupPredictEdbBySourceEdbInfoId(sourceEdbInfoId) if err != nil { return } for _, v := range list { v.Frequency = frequency v.Unit = unit v.Update([]string{"Frequency", "Unit"}) AddOrEditEdbInfoToEs(v.EdbInfoId) } return }