package models import ( "errors" "eta_gn/eta_index_lib/global" "eta_gn/eta_index_lib/utils" "fmt" "github.com/shopspring/decimal" "gorm.io/gorm" "strconv" "strings" "time" ) // SavePredictCalculateBp 变频 func SavePredictCalculateBp(req *EdbInfoCalculateBatchSaveReq, fromEdbInfo *EdbInfo, edbCode, uniqueCode string, sysUserId int, sysUserRealName, lang string) (edbInfo *EdbInfo, latestDateStr string, latestValue float64, err error) { to := global.DEFAULT_DmSQL.Begin() defer func() { if err != nil { to.Rollback() } else { to.Commit() } }() if req.EdbInfoId <= 0 { edbInfo = new(EdbInfo) edbInfo.EdbInfoType = 1 edbInfo.Source = utils.DATA_SOURCE_PREDICT_CALCULATE_BP edbInfo.SourceName = "预测变频" edbInfo.EdbCode = 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.CreateTime = time.Now() edbInfo.ModifyTime = time.Now() edbInfo.UniqueCode = uniqueCode edbInfo.EdbNameEn = req.EdbName edbInfo.UnitEn = req.Unit edbInfo.CalculateFormula = req.Formula edbInfo.EdbType = 2 edbInfo.EmptyType = req.EmptyType edbInfo.Sort = GetAddEdbMaxSortByClassifyId(req.ClassifyId, utils.PREDICT_EDB_INFO_TYPE) tmpErr := to.Create(edbInfo).Error if tmpErr != nil { err = tmpErr return } //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.Create(calculateMappingItem).Error if err != nil { return } } } else { edbInfo, err = GetEdbInfoById(req.EdbInfoId) if err != nil { return } latestDateStr = edbInfo.LatestDate latestValue = edbInfo.LatestValue //修改指标信息 switch 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 } oldEmptyType := edbInfo.EmptyType edbInfo.Frequency = req.Frequency edbInfo.ClassifyId = req.ClassifyId edbInfo.EmptyType = req.EmptyType edbInfo.ModifyTime = time.Now() err = to.Model(edbInfo).Select([]string{"EdbName", "EdbNameSource", "Frequency", "Unit", "ClassifyId", "ModifyTime", "EdbNameEn", "UnitEn", "EmptyType"}).Updates(edbInfo).Error if err != nil { return } //判断计算指标是否被更换 var existCondition string var existPars []interface{} existCondition += " AND edb_info_id=? AND from_edb_info_id=? " existPars = append(existPars, edbInfo.EdbInfoId, req.FromEdbInfoId) count, e := GetEdbInfoCalculateCountByCondition(existCondition, existPars) if e != nil { err = errors.New("判断指标是否改变失败,Err:" + e.Error()) return } if count > 0 && oldEmptyType == edbInfo.EmptyType { // 指标未被替换,无需重新计算 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.Exec(sql, edbInfo.EdbInfoId).Error if err != nil { err = errors.New("删除计算指标关联关系失败,Err:" + err.Error()) return } //清空原有数据 sql = ` DELETE FROM edb_data_predict_calculate_bp WHERE edb_info_id = ? ` err = to.Exec(sql, edbInfo.EdbInfoId).Error if err != nil { return } //关联关系 { calculateMappingItem := &EdbInfoCalculateMapping{ EdbInfoCalculateMappingId: 0, EdbInfoId: edbInfo.EdbInfoId, Source: utils.DATA_SOURCE_PREDICT_CALCULATE_BP, SourceName: "预测变频", 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.Create(calculateMappingItem).Error if err != nil { return } } } //计算数据 latestDateStr, latestValue, err = refreshAllPredictCalculateBp(to, edbInfo.EdbInfoId, edbInfo.Source, edbInfo.SubSource, fromEdbInfo, edbInfo.EdbCode, "", "", 0, edbInfo.EmptyType) return } func RefreshAllPredictCalculateBp(edbInfoId, source, subSource int, fromEdbInfo *EdbInfo, edbCode, startDate, endDate string, emptyType int) (latestDateStr string, latestValue float64, err error) { to := global.DEFAULT_DmSQL.Begin() defer func() { if err != nil { to.Rollback() } else { to.Commit() } }() // 计算数据 latestDateStr, latestValue, err = refreshAllPredictCalculateBp(to, edbInfoId, source, subSource, fromEdbInfo, edbCode, startDate, endDate, 0, emptyType) return } // refreshAllPredictCalculateBp 刷新变频数据 func refreshAllPredictCalculateBp(to *gorm.DB, edbInfoId, source, subSource int, fromEdbInfo *EdbInfo, edbCode, startDate, endDate string, order, emptyType int) (latestDateStr string, latestValue float64, err error) { edbInfoIdStr := strconv.Itoa(edbInfoId) //计算数据 //获取来源指标的数据 dataList, err := GetPredictEdbDataListAllByStartDate(fromEdbInfo, order, "") if err != nil { return } latestDateStr = fromEdbInfo.LatestDate var dateArr []string dataMap := make(map[string]*EdbInfoSearchData) fromDataMap := make(map[string]float64) //来源指指标数据 for _, v := range dataList { dateArr = append(dateArr, v.DataTime) dataMap[v.DataTime] = v fromDataMap[v.DataTime] = v.Value } fmt.Println("source:", source) //获取升频指标所有数据 existDataList, err := GetAllEdbDataListByTo(to, edbInfoId, source, subSource) if err != nil { return } //计算指标的map existDataMap := make(map[string]*EdbData, 0) removeDateMap := make(map[string]struct{}) addSql := ` INSERT INTO edb_data_predict_calculate_bp(edb_info_id,edb_code,data_time,value,create_time,modify_time,data_timestamp) values ` var isAdd bool //待删除的日期 removeDateList := make([]string, 0) if len(existDataList) > 0 && len(dateArr) == 0 { //如果没有来源指标数据,那么已经入库的计算指标数据需要全部删除 tableName := GetEdbDataTableName(source, subSource) sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ?`, tableName) err = to.Exec(sql, edbInfoId).Error if err != nil { err = fmt.Errorf("删除所有的升频指标数据失败,Err:" + err.Error()) return } return } existMap := make(map[string]string) dataLen := len(dataList) //第三步: 已经入库的数据处理 for _, v := range existDataList { existDataMap[v.DataTime] = v removeDateMap[v.DataTime] = struct{}{} } for i := 0; i < dataLen; i++ { //当期 currentItem := dataList[i] var prevItem *EdbInfoSearchData if emptyType == 3 { //3后值填充,其余前值填充 if i >= 1 { prevItem = dataList[i-1] } } currentDate, _ := time.ParseInLocation(utils.FormatDate, currentItem.DataTime, time.Local) var day int var preItem *EdbInfoSearchData var preDate time.Time if i == 0 { if emptyType == 3 { //后值填充 day = 0 //最新的时间就是来源指标的最新日期 preDate = currentDate } else { day = int(time.Now().Sub(currentDate).Hours() / float64(24)) preDate = time.Date(time.Now().Year(), time.Now().Month(), time.Now().Day(), 0, 0, 0, 0, time.Local) } } else { j := i - 1 if j < dataLen { preItem = dataList[j] preDate, _ = time.ParseInLocation(utils.FormatDate, preItem.DataTime, time.Local) day = int(preDate.Sub(currentDate).Hours() / float64(24)) utils.FileLog.Info("preItem.DataTime:" + preItem.DataTime + ";currentItem.DataTime" + currentItem.DataTime) } } for k := 0; k <= day; k++ { needDay := preDate.AddDate(0, 0, -k) needDayStr := needDay.Format(utils.FormatDate) delete(removeDateMap, needDayStr) existKey := edbCode + needDayStr if _, ok := existMap[existKey]; !ok { timestamp := needDay.UnixNano() / 1e6 timestampStr := fmt.Sprintf("%d", timestamp) valStr := decimal.NewFromFloat(currentItem.Value).String() if prevItem != nil && needDayStr != currentItem.DataTime { valStr = decimal.NewFromFloat(prevItem.Value).String() } if fromEdbInfo.LatestDate == needDayStr { if prevItem != nil && needDayStr != currentItem.DataTime { latestValue = prevItem.Value } else { latestValue = currentItem.Value } } tmpExistData, ok2 := existDataMap[needDayStr] if !ok2 { addSql += GetAddSql(edbInfoIdStr, edbCode, needDayStr, timestampStr, valStr) isAdd = true } else { //如果对应的值不匹配 if tmpExistData.Value != valStr { err = ModifyEdbDataById(source, subSource, tmpExistData.EdbDataId, valStr) if err != nil { return } } } } existMap[existKey] = needDayStr } existKey := edbCode + currentItem.DataTime if _, ok := existMap[existKey]; !ok { currentDate, _ := time.ParseInLocation(utils.FormatDate, currentItem.DataTime, time.Local) timestamp := currentDate.UnixNano() / 1e6 timestampStr := fmt.Sprintf("%d", timestamp) valStr := decimal.NewFromFloat(currentItem.Value).String() if fromEdbInfo.LatestDate == currentItem.DataTime { latestValue = currentItem.Value } tmpExistData, ok2 := existDataMap[currentItem.DataTime] if !ok2 { addSql += GetAddSql(edbInfoIdStr, edbCode, currentItem.DataTime, timestampStr, valStr) isAdd = true } else { //如果对应的值不匹配 if tmpExistData.Value != valStr { err = ModifyEdbDataById(source, subSource, tmpExistData.EdbDataId, valStr) if err != nil { return } } } } existMap[existKey] = currentItem.DataTime } for k, _ := range removeDateMap { removeDateList = append(removeDateList, k) } // 删除不需要的指标数据 if len(removeDateList) > 0 { //如果拼接指标变更了,那么需要删除所有的指标数据 tableName := GetEdbDataTableName(source, subSource) sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (`+utils.GetOrmInReplace(len(removeDateList))+`) `, tableName) err = to.Exec(sql, edbInfoId, removeDateList).Error if err != nil { err = fmt.Errorf("删除不存在的升频指标数据失败,Err:" + err.Error()) return } } if isAdd { addSql = strings.TrimRight(addSql, ",") err = to.Exec(addSql).Error } return }