package models import ( "encoding/json" "errors" "eta/eta_index_lib/utils" "fmt" "github.com/beego/beego/v2/client/orm" "github.com/shopspring/decimal" "strconv" "time" ) type EdbInfo struct { EdbInfoId int `orm:"column(edb_info_id);pk"` EdbInfoType int `description:"指标类型，0：普通指标，1：预测指标"` SourceName string `description:"来源名称"` Source int `description:"来源id"` EdbCode string `description:"指标编码"` EdbName string `description:"指标名称"` EdbNameEn string `description:"英文指标名称"` EdbNameSource string `description:"指标名称来源"` Frequency string `description:"频率"` Unit string `description:"单位"` UnitEn string `description:"英文单位"` StartDate string `description:"起始日期"` EndDate string `description:"终止日期"` ClassifyId int `description:"分类id"` SysUserId int SysUserRealName string UniqueCode string `description:"指标唯一编码"` CreateTime time.Time ModifyTime time.Time MinValue float64 `description:"指标最小值"` MaxValue float64 `description:"指标最大值"` CalculateFormula string `description:"计算公式"` EdbType int `description:"指标类型:1:基础指标,2:计算指标"` IsUpdate int `description:"当天是否已更新，1:未更新,2:已更新"` Sort int `description:"排序字段"` LatestDate string `description:"数据最新日期"` LatestValue float64 `description:"数据最新值"` MoveType int `description:"移动方式:1:领先(默认),2:滞后"` MoveFrequency string `description:"移动频度"` NoUpdate int8 `description:"是否停止更新，0：继续更新；1：停止更新"` ServerUrl string `description:"服务器地址"` ChartImage string `description:"图表图片"` Calendar string `description:"公历/农历" orm:"default(公历);"` DataDateType string `orm:"column(data_date_type);size(255);null;default(交易日)"` } func (e *EdbInfo) Add() (err error) { o := orm.NewOrm() _, err = o.Insert(e) return } // AddEdbInfo 添加指标 func AddEdbInfo(item *EdbInfo) (lastId int64, err error) { o := orm.NewOrm() lastId, err = o.Insert(item) return } // EdbInfoList 指标数据列表 type EdbInfoList struct { EdbInfoId int `orm:"column(edb_info_id);pk"` EdbInfoType int `description:"指标类型，0：普通指标，1：预测指标"` SourceName string `description:"来源名称"` Source int `description:"来源id"` EdbCode string `description:"指标编码"` EdbNameEn string `description:"英文指标名称"` EdbName string `description:"指标名称"` Frequency string `description:"频率"` FrequencyEn string `description:"英文频率"` Unit string `description:"单位"` UnitEn string `description:"英文单位"` StartDate string `description:"起始日期"` EndDate string `description:"终止日期"` LatestDate string `description:"数据最新日期"` LatestValue float64 `description:"数据最新值"` ClassifyId int `description:"分类id"` UniqueCode string `description:"指标唯一编码"` SysUserId int `description:"创建人id"` SysUserRealName string `description:"创建人姓名"` ModifyTime string `description:"最新修改时间"` CreateTime string `description:"创建时间"` EdbNameAlias string `json:"-" description:"指标名称,别名"` EdbType int `description:"指标类型:1:基础指标,2:计算指标"` ChartImage string `description:"图表图片"` RuleType int `description:"预测规则，1：最新，2：固定值"` FixedValue float64 `description:"固定值"` DataList []*EdbData `description:"实际指标数据"` PredictDataList []*EdbData `description:"预测指标数据"` Button EdbClassifyItemsButton `description:"操作权限"` IsEnEdb bool `description:"是否展示英文标识"` } // EdbClassifyItemsButton 操作按钮 type EdbClassifyItemsButton struct { AddButton bool `description:"是否可添加"` OpButton bool `description:"是否可编辑"` DeleteButton bool `description:"是否可删除"` MoveButton bool `description:"是否可移动"` ShowEdbRelation bool `description:"是否展示关联指标"` ShowChartRelation bool `description:"是否展示关联图表"` } // GetEdbInfoByName 根据指标名称获取所有的指标数据列表 func GetEdbInfoByName(edbName string) (items []*EdbInfoList, err error) { o := orm.NewOrm() sql := ` SELECT * FROM edb_info WHERE edb_name=? ` _, err = o.Raw(sql, edbName).QueryRows(&items) return } // ModifyEdbInfoNameSource 根据来源修改指标名称 func ModifyEdbInfoNameSource(edbNameSource string, edbInfoId int) (err error) { o := orm.NewOrm() sql := ` UPDATE edb_info SET edb_name_source=? WHERE edb_info_id = ? ` _, err = o.Raw(sql, edbNameSource, edbInfoId).Exec() return } // GetEdbInfoById 根据指标id获取指标信息 func GetEdbInfoById(edbInfoId int) (item *EdbInfo, err error) { o := orm.NewOrm() sql := ` SELECT * FROM edb_info WHERE edb_info_id=? ` err = o.Raw(sql, edbInfoId).QueryRow(&item) return } // GetEdbInfoByUniqueCode 根据指标唯一编码获取指标信息 func GetEdbInfoByUniqueCode(uniqueCode string) (item *EdbInfo, err error) { o := orm.NewOrm() sql := ` SELECT * FROM edb_info WHERE unique_code=? ` err = o.Raw(sql, uniqueCode).QueryRow(&item) return } // GetEdbInfoByIdList 根据指标id列表获取指标信息 func GetEdbInfoByIdList(edbInfoIdList []int) (items []*EdbInfo, err error) { num := len(edbInfoIdList) if num <= 0 { return } o := orm.NewOrm() sql := ` SELECT * FROM edb_info WHERE edb_info_id in (` + utils.GetOrmInReplace(num) + `) ` _, err = o.Raw(sql, edbInfoIdList).QueryRows(&items) return } // Update 更新EdbInfo信息 func (edbInfo *EdbInfo) Update(cols []string) (err error) { o := orm.NewOrm() _, err = o.Update(edbInfo, cols...) return } // EdbInfoSearchData type EdbInfoSearchData struct { EdbDataId int `description:"数据ID"` DataTime string `description:"数据日期"` Value float64 `description:"数据"` } // GetEdbDataListAll 获取指标数据列表 order:1升序，其余值为降序 func GetEdbDataListAll(condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchData, err error) { o := orm.NewOrm() sql := `` tableName := GetEdbDataTableName(source) sql = ` SELECT * FROM %s WHERE 1=1 ` sql = fmt.Sprintf(sql, tableName) if condition != "" { sql += condition } if order == 1 { sql += ` ORDER BY data_time ASC ` } else { sql += ` ORDER BY data_time DESC ` } _, err = o.Raw(sql, pars).QueryRows(&item) return } // GetEdbDataListAllByTo 根据事务链接获取指标数据列表 order:1升序，其余值为降序 func GetEdbDataListAllByTo(to orm.TxOrmer, condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchData, err error) { sql := `` tableName := GetEdbDataTableName(source) sql = ` SELECT * FROM %s WHERE 1=1 ` sql = fmt.Sprintf(sql, tableName) if condition != "" { sql += condition } if order == 1 { sql += ` ORDER BY data_time ASC ` } else { sql += ` ORDER BY data_time DESC ` } _, err = to.Raw(sql, pars).QueryRows(&item) return } // EdbInfoMaxAndMinInfo 指标最新数据记录结构体 type EdbInfoMaxAndMinInfo struct { MinDate string `description:"最小日期"` MaxDate string `description:"最大日期"` MinValue float64 `description:"最小值"` MaxValue float64 `description:"最大值"` LatestValue float64 `description:"最新值"` LatestDate string `description:"实际数据最新日期"` } // GetEdbInfoMaxAndMinInfo 获取指标的最新数据记录信息 func GetEdbInfoMaxAndMinInfo(source int, edbCode string) (item *EdbInfoMaxAndMinInfo, err error) { o := orm.NewOrm() sql := `` tableName := GetEdbDataTableName(source) sql = ` SELECT MIN(data_time) AS min_date,MAX(data_time) AS max_date,MIN(value) AS min_value,MAX(value) AS max_value FROM %s WHERE edb_code=? ` sql = fmt.Sprintf(sql, tableName) err = o.Raw(sql, edbCode).QueryRow(&item) var latest_value float64 sql = ` SELECT value AS latest_value FROM %s WHERE edb_code=? ORDER BY data_time DESC LIMIT 1 ` sql = fmt.Sprintf(sql, tableName) err = o.Raw(sql, edbCode).QueryRow(&latest_value) item.LatestValue = latest_value return } // ModifyEdbInfoMaxAndMinInfo 修改指标的最新数据信息 func ModifyEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) { o := orm.NewOrm() sql := ` UPDATE edb_info SET start_date=?,end_date=?,min_value=?,max_value=?,is_update=2,latest_date=?,latest_value=?,modify_time=NOW() WHERE edb_info_id=? ` _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.MaxDate, item.LatestValue, edbInfoId).Exec() return } // GetEdbDataCount 获取edb指标数据的数量； order:1升序，其余值为降序 func GetEdbDataCount(condition string, pars []interface{}, source int) (count int, err error) { o := orm.NewOrm() sql := `` tableName := GetEdbDataTableName(source) sql = ` SELECT COUNT(1) AS count FROM %s WHERE 1=1 ` sql = fmt.Sprintf(sql, tableName) if condition != "" { sql += condition } err = o.Raw(sql, pars).QueryRow(&count) return } // GetLastEdbData 获取最近的一条指标数据 func GetLastEdbData(condition string, pars []interface{}, source int) (item *EdbInfoSearchData, err error) { o := orm.NewOrm() sql := `` tableName := GetEdbDataTableName(source) sql = ` SELECT * FROM %s WHERE 1=1 ` sql = fmt.Sprintf(sql, tableName) if condition != "" { sql += condition } sql += ` ORDER BY data_time DESC ` err = o.Raw(sql, pars).QueryRow(&item) return } // GetEdbInfoByEdbCode 根据指标code获取指标信息 func GetEdbInfoByEdbCode(source int, edbCode string) (item *EdbInfo, err error) { o := orm.NewOrm() sql := ` SELECT * FROM edb_info WHERE source=? AND edb_code=? ` err = o.Raw(sql, source, edbCode).QueryRow(&item) return } // GetEdbInfoOnlyByEdbCode 仅根据指标code获取指标信息 func GetEdbInfoOnlyByEdbCode(edbCode string) (item *EdbInfo, err error) { o := orm.NewOrm() sql := ` SELECT * FROM edb_info WHERE edb_code=? ` err = o.Raw(sql, edbCode).QueryRow(&item) return } // GetEdbInfoCalculateListByCondition 获取指标关系列表 func GetEdbInfoCalculateListByCondition(condition string, pars []interface{}) (items []*EdbInfoCalculateMapping, err error) { o := orm.NewOrm() sql := ` SELECT * FROM edb_info_calculate_mapping WHERE 1=1 ` if condition != "" { sql += condition } _, err = o.Raw(sql, pars).QueryRows(&items) return } // GetEdbInfoCalculateCountByCondition 获取关联指标数量 func GetEdbInfoCalculateCountByCondition(condition string, pars []interface{}) (count int, err error) { o := orm.NewOrm() sql := ` SELECT COUNT(1) AS count FROM edb_info_calculate_mapping WHERE 1=1 ` if condition != "" { sql += condition } err = o.Raw(sql, pars).QueryRow(&count) return } // 优化版本-处理数据精度问题 type EdbInfoSearchDataV1 struct { EdbDataId int `description:"数据ID"` DataTime string `description:"数据日期"` Value string `description:"数据"` } // 优化版本-处理数据精度问题 func GetEdbDataListAllV1(condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchDataV1, err error) { o := orm.NewOrm() sql := `` tableName := GetEdbDataTableName(source) sql = ` SELECT * FROM %s WHERE 1=1 ` sql = fmt.Sprintf(sql, tableName) if condition != "" { sql += condition } if order == 1 { sql += ` ORDER BY data_time ASC ` } else { sql += ` ORDER BY data_time DESC ` } _, err = o.Raw(sql, pars).QueryRows(&item) return } // GetEdbDataListAllV1ByTo 通过事务链接获取数据列表 func GetEdbDataListAllV1ByTo(to orm.TxOrmer, condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchDataV1, err error) { sql := `` tableName := GetEdbDataTableName(source) sql = ` SELECT * FROM %s WHERE 1=1 ` sql = fmt.Sprintf(sql, tableName) if condition != "" { sql += condition } if order == 1 { sql += ` ORDER BY data_time ASC ` } else { sql += ` ORDER BY data_time DESC ` } _, err = to.Raw(sql, pars).QueryRows(&item) return } // GetEdbInfoByCondition 获取指标列表 func GetEdbInfoByCondition(condition string, pars []interface{}, order int) (item []*EdbInfo, err error) { o := orm.NewOrm() sql := ` SELECT * FROM edb_info WHERE 1=1 ` if condition != "" { sql += condition } if order == 1 { sql += ` ORDER BY end_date ASC ` } else { sql += ` ORDER BY edb_info_id ASC ` } _, err = o.Raw(sql, pars).QueryRows(&item) return } // UnifiedModifyEdbInfoMaxAndMinInfo 统一修改指标的最大最小值 func UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo *EdbInfo) (err error, errMsg string) { // 修改最大最小值 maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.EdbCode) if err != nil { if err.Error() == utils.ErrNoRow() { err = nil return } errMsg = "刷新指标失败！" err = errors.New("获取指标最大最小值失败，err:" + err.Error()) return } if maxAndMinItem != nil { err = ModifyEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem) if err != nil { errMsg = "刷新指标失败！" err = errors.New("修改指标最大最小值失败，err:" + err.Error()) return } } // 修改关联的预测指标 go ModifyPredictEdbInfoMaxAndMinInfoBySourceEdbInfoId(edbInfo.EdbInfoId, maxAndMinItem) return } // UnifiedModifyPredictEdbInfoMaxAndMinInfo 统一修改预测运算指标的最大最小值 func UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo *EdbInfo, latestDateStr string, latestValue float64) (err error, errMsg string) { // 修改最大最小值 maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.EdbCode) if err != nil { if err.Error() == utils.ErrNoRow() { err = nil return } errMsg = "刷新指标失败！" err = errors.New("获取指标最大最小值失败，err:" + err.Error()) return } if maxAndMinItem != nil { maxAndMinItem.LatestDate = latestDateStr maxAndMinItem.LatestValue = latestValue err = ModifyPredictEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem) if err != nil { errMsg = "刷新指标失败！" err = errors.New("修改指标最大最小值失败，err:" + err.Error()) return } } return } // GetChartPredictEdbInfoDataListByConfList 获取图表的预测指标的未来数据 func GetChartPredictEdbInfoDataListByConfList(predictEdbConfList []*PredictEdbConfAndData, filtrateStartDateStr, latestDateStr, endDateStr, frequency, dataDateType string, realPredictEdbInfoData []*EdbInfoSearchData) (predictEdbInfoData []*EdbInfoSearchData, minValue, maxValue float64, err error) { 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 } // 开始预测数据的时间 startDate := latestDate // 如果有筛选时间的话 if filtrateStartDateStr != `` { filtrateStartDate, tmpErr := time.ParseInLocation(utils.FormatDate, filtrateStartDateStr, time.Local) if tmpErr != nil { err = tmpErr return } //如果筛选时间晚于实际数据时间，那么就以筛选时间作为获取预测数据的时间 if filtrateStartDate.After(latestDate) { startDate = filtrateStartDate.AddDate(0, 0, -1) } } //var dateArr []string // 对应日期的值 existMap := make(map[string]float64) for _, v := range realPredictEdbInfoData { //dateArr = append(dateArr, v.DataTime) existMap[v.DataTime] = v.Value } predictEdbInfoData = make([]*EdbInfoSearchData, 0) //dataValue := lastDataValue //预测规则，1：最新，2：固定值，3：同比，4：同差，5：环比，6：环差，7：N期移动均值，8：N期段线性外推值 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([]*EdbInfoSearchData, 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 } 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) //规则计算的环差值map if predictEdbConf.PredictEdbInfoId > 0 { tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(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 { 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 } // 只处理时间段内的数据 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 var seasonConf SeasonConf tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &seasonConf) if tmpErr != nil { err = errors.New("季节性配置信息异常:" + tmpErr.Error()) return } calendar := "公历" if seasonConf.Calendar == "农历" { calendar = "农历" } yearList := make([]int, 0) //选择方式，1：连续N年；2：指定年份 if seasonConf.YearType == 1 { if seasonConf.NValue < 1 { err = errors.New("连续N年不允许小于1") return } currYear := time.Now().Year() for i := 0; i < seasonConf.NValue; i++ { yearList = append(yearList, currYear-i-1) } } else { yearList = seasonConf.YearList } predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleSeason(predictEdbConf.PredictEdbInfoId, yearList, calendar, 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("一元线性拟合规则配置信息异常:" + err.Error()) return } // 规则计算的拟合残差值map newNhccDataMap := make(map[string]float64) if predictEdbConf.PredictEdbInfoId > 0 { //已经生成的动态数据 tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate)) 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) } 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 } } // 下一个规则的开始日期 { 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 } // GetPredictEdbDayList 获取预测指标日期列表 // GetPredictEdbDayList 获取预测指标日期列表 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) { // 如果日期类型是交易日的时候，那么需要将周六、日排除 if dataDateType == `交易日` && (currDate.Weekday() == time.Sunday || currDate.Weekday() == time.Saturday) { continue } dayList = append(dayList, currDate) } case "周度": //nextDate := startDate.AddDate(0, 0, 7) 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) //每个月的10号、20号、最后一天，那么就写入 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); { // 每月的最后一天 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) { // 季度日期就写入，否则不写入 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); { // 每月的最后一天 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) { // 半年度日期就写入，否则不写入 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 } // GetPredictDataListByPredictEdbInfo 根据预测指标信息获取预测指标的数据，order:1升序，其余值为降序 func GetPredictDataListByPredictEdbInfo(edbInfo *EdbInfo, order int, startDate string) (dataList []*EdbInfoSearchData, sourceEdbInfoItem *EdbInfo, err error, errMsg string) { // 查找该预测指标配置 predictEdbConfList, err := GetPredictEdbConfAndDataListById(edbInfo.EdbInfoId) if err != nil && err.Error() != utils.ErrNoRow() { 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] // 来源指标 sourceEdbInfoItem, err = GetEdbInfoById(predictEdbConf.SourceEdbInfoId) if err != nil { if err.Error() == utils.ErrNoRow() { errMsg = "找不到来源指标信息" err = errors.New(errMsg) } return } dataList, err, errMsg = GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem, predictEdbConfList, order, startDate) return } // GetPredictDataListByPredictEdbConfList 根据预测指标信息获取预测指标的数据，order:1升序，其余值为降序 func GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem *EdbInfo, predictEdbConfList []*PredictEdbConfAndData, order int, startDate string) (dataList []*EdbInfoSearchData, err error, errMsg string) { allDataList := make([]*EdbInfoSearchData, 0) //获取指标数据（实际已生成） var condition string var pars []interface{} condition += " AND edb_info_id=? " pars = append(pars, sourceEdbInfoItem.EdbInfoId) if startDate != "" { condition += " AND data_time>=? " pars = append(pars, startDate) } tmpDataList, err := GetEdbDataListAll(condition, pars, sourceEdbInfoItem.Source, 1) if err != nil { return } // 如果选择了日期，那么需要筛选所有的数据，用于未来指标的生成 if startDate != `` { allDataList, err = GetEdbDataListAll(" AND edb_info_id=? ", []interface{}{sourceEdbInfoItem.EdbInfoId}, sourceEdbInfoItem.Source, 1) if err != nil { return } } else { allDataList = tmpDataList } // 获取预测指标未来的数据 predictDataList := make([]*EdbInfoSearchData, 0) endDateStr := edbInfo.EndDate //预测指标的结束日期 var predictMinValue, predictMaxValue float64 // 如果有配置的预测规则，那么就进行预测 if len(predictEdbConfList) > 0 { predictDataList, predictMinValue, predictMaxValue, err = GetChartPredictEdbInfoDataListByConfList(predictEdbConfList, startDate, sourceEdbInfoItem.LatestDate, endDateStr, edbInfo.Frequency, edbInfo.DataDateType, allDataList) if err != nil { return } } //order:1升序，其余值为降序 if order == 1 { dataList = append(tmpDataList, predictDataList...) } else { // 先倒序预测数据 lenPredictDataList := len(predictDataList) if lenPredictDataList > 0 { for k := range predictDataList { dataList = append(dataList, predictDataList[lenPredictDataList-k-1]) } } // 接着倒序实际指标 lenDataList := len(tmpDataList) for k := range tmpDataList { dataList = append(dataList, tmpDataList[lenDataList-k-1]) } } if len(predictDataList) > 0 { // 如果最小值 大于 预测值，那么将预测值作为最小值数据返回 if edbInfo.MinValue > predictMinValue { edbInfo.MinValue = predictMinValue } // 如果最大值 小于 预测值，那么将预测值作为最大值数据返回 if edbInfo.MaxValue < predictMaxValue { edbInfo.MaxValue = predictMaxValue } } return } // GetPredictEdbDataListAll 获取该预测指标所有的数据 ，order:1升序，其余值为降序 func GetPredictEdbDataListAll(edbInfo *EdbInfo, order int) (items []*EdbInfoSearchData, err error) { if edbInfo.Source == utils.DATA_SOURCE_PREDICT { //普通的预测指标是没有入库数据的，直接往配置里面获取 items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, 1, "") } else { var condition string var pars []interface{} condition += " AND edb_info_id=? " pars = append(pars, edbInfo.EdbInfoId) items, err = GetEdbDataListAll(condition, pars, edbInfo.Source, order) } return } // GetPredictEdbDataListAllByStartDate 根据开始日期获取该预测指标所有的数据 ，order:1升序，其余值为降序 func GetPredictEdbDataListAllByStartDate(edbInfo *EdbInfo, order int, startDate string) (items []*EdbInfoSearchData, err error) { if edbInfo.Source == utils.DATA_SOURCE_PREDICT { //普通的预测指标是没有入库数据的，直接往配置里面获取 items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, order, startDate) } else { var condition string var pars []interface{} condition += " AND edb_info_id=? " pars = append(pars, edbInfo.EdbInfoId) if startDate != "" { condition += " AND data_time>=? " pars = append(pars, startDate) } items, err = GetEdbDataListAll(condition, pars, edbInfo.Source, order) } return } // ModifyPredictEdbInfoMaxAndMinInfo 修改预测指标的最新数据信息 func ModifyPredictEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) { o := orm.NewOrm() sql := ` UPDATE edb_info SET start_date=?,end_date=?,min_value=?,max_value=?,is_update=2,latest_date=?,latest_value=?,modify_time=NOW() WHERE edb_info_id=? ` _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.LatestDate, item.LatestValue, edbInfoId).Exec() return } // ModifyCalculateEdbInfo 修改计算指标信息 func ModifyCalculateEdbInfo(edbName, frequency, unit, calculateFormula string, classifyId, edbInfoId int) (err error) { o := orm.NewOrm() sql := ` UPDATE edb_info SET edb_name =?, edb_name_source =?, frequency = ?, unit = ?, classify_id = ?, calculate_formula=?, modify_time = NOW() WHERE edb_info_id = ?` _, err = o.Raw(sql, edbName, edbName, frequency, unit, classifyId, calculateFormula, edbInfoId).Exec() return } func GetEdbInfoItemByCondition(condition string, pars []interface{}) (item *EdbInfoList, err error) { o := orm.NewOrm() sql := ` SELECT * FROM edb_info WHERE 1=1 ` if condition != "" { sql += condition } err = o.Raw(sql, pars).QueryRow(&item) return } func GetEdbInfoItemListByCondition() (items []*EdbInfoList, err error) { o := orm.NewOrm() sql := ` SELECT * FROM edb_info WHERE 1=1 ` _, err = o.Raw(sql).QueryRows(&items) return } // EdbInfoDetailReq 指标详情请求 type EdbInfoDetailReq struct { UniqueCode string `description:"指标唯一编码"` EdbCode string `description:"指标编码"` } // EdbInfoDetailResp 指标详情返回 type EdbInfoDetailResp struct { SourceName string `description:"来源名称"` EdbCode string `description:"指标编码"` EdbName string `description:"指标名称"` EdbNameSource string `description:"指标名称来源"` Frequency string `description:"频率"` Unit string `description:"单位"` StartDate string `description:"起始日期"` EndDate string `description:"终止日期"` UniqueCode string `description:"指标唯一编码"` CreateTime time.Time ModifyTime time.Time MinValue float64 `description:"指标最小值"` MaxValue float64 `description:"指标最大值"` EdbNameEn string `description:"英文指标名称"` UnitEn string `description:"英文单位"` LatestDate string `description:"数据最新日期"` LatestValue float64 `description:"数据最新值"` ChartImage string `description:"图表图片"` DataList []*EdbInfoSearchData } type AddEdbInfoParams struct { Source int `description:"来源id"` EdbCode string `description:"指标编码"` EdbName string `description:"指标名称"` Frequency string `description:"频率"` Unit string `description:"单位"` ClassifyId int `description:"分类id"` } // EdbInfoAdd 添加指标到指标库 func EdbInfoAdd(req *AddEdbInfoParams, serverUrl string, sysUserId int, sysUserRealName string) (edbInfo *EdbInfo, err error) { source := req.Source //判断指标名称是否存在 var condition string var pars []interface{} //condition += " AND source=? " //pars = append(pars, source) condition += " AND edb_code=? " pars = append(pars, req.EdbCode) items, err := GetEdbInfoByCondition(condition, pars, 0) if err != nil { err = errors.New("判断指标是否存在失败,Err:" + err.Error()) return } if len(items) > 0 { sql := ` UPDATE edb_info SET classify_id=?,modify_time=NOW() WHERE edb_code=? ` o := orm.NewOrm() _, err = o.Raw(sql, req.ClassifyId, req.EdbCode).Exec() if err != nil { err = errors.New("更新指标分类信息失败,Err:" + err.Error()) return } edbInfo = items[0] return } edbInfo = new(EdbInfo) edbInfo.Source = source sourceNameMap := map[int]string{ utils.DATA_SOURCE_THS: "同花顺", utils.DATA_SOURCE_WIND: "wind", utils.DATA_SOURCE_PB: "彭博", utils.DATA_SOURCE_PB_FINANCE: "彭博财务", utils.DATA_SOURCE_MANUAL: "手工数据", utils.DATA_SOURCE_LZ: "隆众", utils.DATA_SOURCE_YS: "SMM", utils.DATA_SOURCE_GL: "钢联", utils.DATA_SOURCE_ZZ: "郑商所", utils.DATA_SOURCE_DL: "大商所", utils.DATA_SOURCE_SH: "上期所", utils.DATA_SOURCE_CFFEX: "中金所", utils.DATA_SOURCE_SHFE: "上期能源", utils.DATA_SOURCE_GIE: "欧洲天然气", utils.DATA_SOURCE_LT: "路透", utils.DATA_SOURCE_COAL: "中国煤炭网", utils.DATA_SOURCE_GOOGLE_TRAVEL: "our world in data", utils.DATA_SOURCE_MYSTEEL_CHEMICAL: "钢联化工", utils.DATA_SOURCE_EIA_STEO: "EIA STEO报告", utils.DATA_SOURCE_COM_TRADE: "UN", utils.DATA_SOURCE_SCI: "SCI", utils.DATA_SOURCE_BAIINFO: "BAIINFO", utils.DATA_SOURCE_STOCK_PLANT: "存量装置", utils.DATA_SOURCE_NATIONAL_STATISTICS: "国家统计局", utils.DATA_SOURCE_FUBAO: "富宝数据", } sourceName, ok := sourceNameMap[source] if !ok { err = errors.New("指标来源异常") return } edbInfo.SourceName = sourceName edbType := 1 //基础指标 if source == utils.DATA_SOURCE_STOCK_PLANT { edbType = 2 //计算指标 } edbInfo.EdbCode = req.EdbCode edbInfo.EdbName = req.EdbName edbInfo.EdbNameSource = req.EdbName edbInfo.Frequency = req.Frequency edbInfo.Unit = req.Unit edbInfo.ClassifyId = req.ClassifyId edbInfo.SysUserId = sysUserId edbInfo.SysUserRealName = sysUserRealName edbInfo.StartDate = "1990-01-01" edbInfo.CreateTime = time.Now() edbInfo.ModifyTime = time.Now() edbInfo.ServerUrl = serverUrl timestamp := strconv.FormatInt(time.Now().UnixNano(), 10) edbInfo.UniqueCode = utils.MD5(utils.DATA_PREFIX + "_" + timestamp) itemVal, err := GetEdbInfoMaxAndMinInfo(source, req.EdbCode) if itemVal != nil && err == nil { edbInfo.MaxValue = itemVal.MaxValue edbInfo.MinValue = itemVal.MinValue } edbInfo.EdbType = edbType edbInfoId, err := AddEdbInfo(edbInfo) if err != nil { err = errors.New("保存失败，Err:" + err.Error()) return } edbInfo.EdbInfoId = int(edbInfoId) return }