123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700701702703704705706707708709710711712713714715716717718719720721722723724725726727728729730 |
- package line_feature
- import (
- "errors"
- "eta/eta_api/models/data_manage"
- "eta/eta_api/models/data_manage/line_feature"
- "eta/eta_api/models/data_manage/line_feature/response"
- "eta/eta_api/models/system"
- "eta/eta_api/services/data"
- "eta/eta_api/utils"
- "github.com/shopspring/decimal"
- "strconv"
- "strings"
- "time"
- )
- // GetStandardDeviationData 获取标准差图表的指标数据
- func GetStandardDeviationData(chartInfoId int, startDate, endDate string, mappingInfo *data_manage.ChartEdbInfoMapping, calculateValue int) (edbList []*data_manage.ChartEdbInfoMapping, dataResp response.LineFeatureDataResp, err error, errMsg string) {
- edbList = make([]*data_manage.ChartEdbInfoMapping, 0)
- // 指标对应的所有数据
- _, edbList, err = data.GetEdbDataMapList(chartInfoId, 1, `公历`, startDate, endDate, []*data_manage.ChartEdbInfoMapping{mappingInfo}, "")
- if err != nil {
- return
- }
- if len(edbList) != 1 {
- errMsg = `指标异常`
- err = errors.New(errMsg)
- return
- }
- edb := edbList[0]
- dataList := edb.DataList.([]*data_manage.EdbDataList)
- newDataList := make([]data_manage.EdbDataList, 0)
- lenData := len(dataList)
- var minVal, maxVal float64
- if lenData >= calculateValue {
- tmpDataList := make([]float64, 0)
- for _, tmpData := range dataList {
- tmpDataList = append(tmpDataList, tmpData.Value)
- }
- for i := calculateValue; i <= lenData; i++ {
- tmpV := utils.CalculateStandardDeviation(tmpDataList[i-calculateValue : i])
- tmpV, _ = decimal.NewFromFloat(tmpV).Round(4).Float64()
- newDataList = append(newDataList, data_manage.EdbDataList{
- EdbDataId: i,
- EdbInfoId: edb.EdbInfoId,
- DataTime: dataList[i-1].DataTime,
- DataTimestamp: dataList[i-1].DataTimestamp,
- Value: tmpV,
- })
- if tmpV > maxVal {
- maxVal = tmpV
- }
- if tmpV < minVal {
- minVal = tmpV
- }
- }
- }
- dataResp = response.LineFeatureDataResp{
- MaxData: maxVal,
- MinData: minVal,
- LatestDate: edb.LatestDate,
- EdbInfoCategoryType: edb.EdbInfoCategoryType,
- ChartColor: `#00F`,
- ChartStyle: `spline`,
- PredictChartColor: `#00F`,
- ChartType: 0,
- ChartWidth: 3,
- EdbName: "标准差",
- EdbNameEn: "standard deviation",
- Unit: edb.Unit,
- UnitEn: edb.UnitEn,
- IsAxis: 1,
- DataList: newDataList,
- }
- return
- }
- // GetPercentileData 获取百分位图表的指标数据
- func GetPercentileData(chartInfoId int, startDate, endDate string, mappingInfo *data_manage.ChartEdbInfoMapping, calculateValue int, calculateUnit string, percentType int) (edbList []*data_manage.ChartEdbInfoMapping, dataResp response.LineFeatureDataResp, err error, errMsg string) {
- edbList = make([]*data_manage.ChartEdbInfoMapping, 0)
- 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
- _, edbList, err = data.GetEdbDataMapList(chartInfoId, 1, `公历`, startDate, endDate, []*data_manage.ChartEdbInfoMapping{mappingInfo}, "")
- if err != nil {
- return
- }
- if len(edbList) != 1 {
- errMsg = `指标异常`
- err = errors.New(errMsg)
- return
- }
- edb := edbList[0]
- dataList := edb.DataList.([]*data_manage.EdbDataList)
- newDataList := make([]data_manage.EdbDataList, 0)
- var edbMinVal, edbMaxVal float64
- 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。
- if percentType == utils.PercentCalculateTypeRange {
- 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
- }
- //百分位=(现值-Min)/(Max-Min)
- tmpV := (tmpData.Value - minVal) / (maxVal - minVal) * 100
- tmpV, _ = decimal.NewFromFloat(tmpV).Round(4).Float64()
- newDataList = append(newDataList, data_manage.EdbDataList{
- EdbDataId: i,
- EdbInfoId: edb.EdbInfoId,
- DataTime: dataList[i].DataTime,
- DataTimestamp: dataList[i].DataTimestamp,
- Value: tmpV,
- })
- if tmpV < edbMinVal {
- edbMinVal = tmpV
- }
- if tmpV > edbMaxVal {
- edbMaxVal = tmpV
- }
- }
- }
- // 百分位数据个数算法
- // 数据区间第一个和最后一个数据点的时间和数据分别为(T1,S1)(T2,S2); N=T1到T2指标数据个数, n=小于等于S2的数据个数
- // 个数百分位=(n-1)/(N-1)
- var firstDate time.Time
- if len(dataList) > 0 {
- d, _ := time.ParseInLocation(utils.FormatDate, dataList[0].DataTime, time.Local)
- firstDate = d
- }
- if percentType == utils.PercentCalculateTypeNum {
- for i, d := range dataList {
- // T2为当前日期
- s2 := decimal.NewFromFloat(d.Value)
- t2, _ := time.ParseInLocation(utils.FormatDate, d.DataTime, time.Local)
- // 往前找(时间长度)个有数据的
- var bigN, tinyN int
- for k := 0; k < calculateDay; k++ {
- tp := t2.AddDate(0, 0, -k)
- if tp.Before(firstDate) {
- break
- }
- preVal, preOk := dataMap[tp]
- if !preOk {
- continue
- }
- bigN += 1
- if decimal.NewFromFloat(preVal).LessThanOrEqual(s2) {
- tinyN += 1
- }
- }
- // N<=1时说明计算无效
- if bigN <= 1 {
- continue
- }
- numerator := decimal.NewFromInt(int64(tinyN - 1))
- denominator := decimal.NewFromInt(int64(bigN - 1))
- // 因为是百分位所以这里是要*100, 跟之前的算法保持同步
- percentVal, _ := numerator.Div(denominator).Mul(decimal.NewFromFloat(100)).Round(4).Float64()
- // 写进数组并判断指标最大最小值
- newDataList = append(newDataList, data_manage.EdbDataList{
- EdbDataId: i,
- EdbInfoId: edb.EdbInfoId,
- DataTime: dataList[i].DataTime,
- DataTimestamp: dataList[i].DataTimestamp,
- Value: percentVal,
- })
- if percentVal < edbMinVal {
- edbMinVal = percentVal
- }
- if percentVal > edbMaxVal {
- edbMaxVal = percentVal
- }
- }
- }
- dataResp = response.LineFeatureDataResp{
- MaxData: edbMaxVal,
- MinData: edbMinVal,
- LatestDate: edb.LatestDate,
- EdbInfoCategoryType: edb.EdbInfoCategoryType,
- ChartColor: `#00F`,
- ChartStyle: `spline`,
- PredictChartColor: `#00F`,
- ChartType: 0,
- ChartWidth: 3,
- EdbName: "百分位",
- EdbNameEn: "percentile",
- Unit: "%",
- UnitEn: "%",
- IsAxis: 1,
- DataList: newDataList,
- }
- return
- }
- // GetFrequencyDistributionData 获取频率分布的图表数据
- func GetFrequencyDistributionData(chartInfoId int, mappingInfo *data_manage.ChartEdbInfoMapping, dateType, stepVal int, startDate, endDate string) (edbList []*data_manage.ChartEdbInfoMapping, dataResp response.FrequencyDistributionResp, err error, errMsg string) {
- XDataList := make([]float64, 0)
- // 频度
- Y1DataList := make([]response.FrequencyDistributionYData, 0)
- // 累计频率
- Y2DataList := make([]response.FrequencyDistributionYData, 0)
- edbList = make([]*data_manage.ChartEdbInfoMapping, 0)
- // 指标对应的所有数据
- _, edbList, err = data.GetEdbDataMapList(chartInfoId, 1, `公历`, startDate, endDate, []*data_manage.ChartEdbInfoMapping{mappingInfo}, "")
- if err != nil {
- return
- }
- if len(edbList) != 1 {
- err = errors.New("指标异常")
- return
- }
- startDateTime, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
- var endDateTime time.Time
- if endDate != `` {
- endDateTime, _ = time.ParseInLocation(utils.FormatDate, endDate, time.Local)
- }
- edb := edbList[0]
- dataList := edb.DataList.([]*data_manage.EdbDataList)
- if len(dataList) <= 0 {
- return
- }
- // 非自定义
- if dateType != 8 {
- endDate = dataList[len(dataList)-1].DataTime
- endDateTime, err = time.ParseInLocation(utils.FormatDate, endDate, time.Local)
- if err != nil {
- return
- }
- //日期类型:1:最近3月;2:最近6月;3:最近1年;4:最近2年;5:最近3年;6:最近5年;7:最近10年,8:自定义时间
- startDateTime = utils.GetDateByDateType2(dateType, endDateTime)
- startDate = startDateTime.Format(utils.FormatDate)
- newDataList := make([]*data_manage.EdbDataList, 0)
- for _, v := range dataList {
- tmpDataTime, tmpErr := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
- if tmpErr != nil {
- err = tmpErr
- return
- }
- if tmpDataTime.Equal(startDateTime) || tmpDataTime.After(startDateTime) {
- newDataList = append(newDataList, v)
- }
- }
- dataList = newDataList
- }
- maxVal := dataList[0].Value
- minVal := dataList[0].Value
- dataValMap := make(map[float64]int)
- total := 0 // 数据总量
- for _, tmpData := range dataList {
- currDateTime, _ := time.ParseInLocation(utils.FormatDate, tmpData.DataTime, time.Local)
- if (currDateTime.Equal(startDateTime) || currDateTime.After(startDateTime)) && (endDateTime.IsZero() || currDateTime.Before(endDateTime)) {
- if maxVal < tmpData.Value {
- maxVal = tmpData.Value
- }
- if minVal > tmpData.Value {
- minVal = tmpData.Value
- }
- num, ok := dataValMap[tmpData.Value]
- if ok {
- dataValMap[tmpData.Value] = num + 1
- } else {
- dataValMap[tmpData.Value] = 1
- }
- total++
- }
- }
- if total <= 0 {
- errMsg = `没有数据`
- err = errors.New(errMsg)
- return
- }
- // 最大最小值 向上/下取整
- minVal = utils.GetFloorNewNum(minVal, 2)
- maxVal = utils.GetCeilNewNum(maxVal, 2)
- //间距
- spacing, _ := (decimal.NewFromFloat(maxVal).Sub(decimal.NewFromFloat(minVal))).Div(decimal.NewFromInt(int64(stepVal))).Float64()
- distributionDataNumMap := make(map[float64]int)
- for i := 1; i <= stepVal; i++ {
- tmpMinVal, _ := decimal.NewFromFloat(minVal).Add((decimal.NewFromFloat(spacing)).Mul(decimal.NewFromInt(int64(i - 1)))).Float64()
- tmpMaxVal, _ := decimal.NewFromFloat(minVal).Add((decimal.NewFromFloat(spacing)).Mul(decimal.NewFromInt(int64(i)))).Float64()
- XDataList = append(XDataList, tmpMinVal)
- distributionDataNumMap[tmpMinVal] = 0
- for tmpVal, num := range dataValMap {
- if tmpMinVal <= tmpVal {
- // 最后一期数据是要小于等于
- if i == stepVal {
- if tmpVal <= tmpMaxVal {
- distributionDataNumMap[tmpMinVal] += num
- }
- } else {
- if tmpVal < tmpMaxVal {
- distributionDataNumMap[tmpMinVal] += num
- }
- }
- }
- }
- }
- var minFrequency, maxFrequency float64
- tmpNum := 0
- for k, tmpMinVal := range XDataList {
- // 数量
- frequencyYNum := distributionDataNumMap[tmpMinVal]
- // 频率
- tmpFrequency, _ := decimal.NewFromInt(int64(frequencyYNum)).Div(decimal.NewFromInt(int64(total))).Mul(decimal.NewFromInt(100)).Round(4).Float64()
- Y1DataList = append(Y1DataList, response.FrequencyDistributionYData{
- X: tmpMinVal,
- Y: tmpFrequency,
- })
- if k == 0 {
- minFrequency = tmpFrequency
- maxFrequency = tmpFrequency
- } else {
- if tmpFrequency < minFrequency {
- minFrequency = tmpFrequency
- }
- if tmpFrequency > maxFrequency {
- maxFrequency = tmpFrequency
- }
- }
- // 累计数
- tmpNum += frequencyYNum
- // 累计频率
- tmpTotalFrequency, _ := decimal.NewFromInt(int64(tmpNum)).Div(decimal.NewFromInt(int64(total))).Mul(decimal.NewFromInt(100)).Round(4).Float64()
- Y2DataList = append(Y2DataList, response.FrequencyDistributionYData{
- X: tmpMinVal,
- Y: tmpTotalFrequency,
- })
- }
- newDataList := []response.FrequencyDistributionData{
- {
- Name: "频率",
- NameEn: "Frequency",
- Unit: "%",
- UnitEn: "%",
- Value: Y1DataList,
- Color: "#00F",
- IsAxis: 1,
- }, {
- Name: "累计频率",
- NameEn: "Total Frequency",
- Unit: "%",
- UnitEn: "%",
- Value: Y2DataList,
- Color: "#F00",
- IsAxis: 0,
- },
- }
- edbList[0].DataList = nil
- dataResp = response.FrequencyDistributionResp{
- LeftMinValue: minFrequency,
- LeftMaxValue: maxFrequency,
- RightMinValue: 0,
- RightMaxValue: 100,
- DataList: newDataList,
- }
- return
- }
- // AddChartInfo 添加图表
- func AddChartInfo(req data_manage.AddChartInfoReq, edbInfoMapping *data_manage.ChartEdbInfoMapping, source int, sysUser *system.Admin, lang string) (chartInfo *data_manage.ChartInfo, err error, errMsg string, isSendEmail bool) {
- isSendEmail = true
- req.ChartName = strings.Trim(req.ChartName, " ")
- if req.ChartName == "" {
- errMsg = "请填写图表名称!"
- err = errors.New(errMsg)
- isSendEmail = false
- return
- }
- if req.ChartClassifyId <= 0 {
- errMsg = "分类参数错误!"
- err = errors.New(errMsg)
- isSendEmail = false
- return
- }
- chartClassify, err := data_manage.GetChartClassifyById(req.ChartClassifyId)
- if err != nil {
- if err.Error() == utils.ErrNoRow() {
- errMsg = "分类不存在"
- err = errors.New(errMsg)
- isSendEmail = false
- return
- }
- errMsg = "获取分类信息失败"
- err = errors.New("获取分类信息失败,Err:" + err.Error())
- return
- }
- if chartClassify == nil {
- errMsg = "分类不存在"
- err = errors.New(errMsg)
- isSendEmail = false
- return
- }
- edbInfoIdArr := []int{edbInfoMapping.EdbInfoId}
- var edbInfoIdArrStr []string
- for _, v := range edbInfoIdArr {
- edbInfoIdArrStr = append(edbInfoIdArrStr, strconv.Itoa(v))
- }
- edbInfoIdStr := strings.Join(edbInfoIdArrStr, ",")
- var chartInfoId int
- // 判断图表是否存在
- {
- var condition string
- var pars []interface{}
- switch lang {
- case utils.EnLangVersion:
- condition += " AND chart_name_en = ? AND source = ? "
- default:
- condition += " AND chart_name = ? AND source = ? "
- }
- pars = append(pars, req.ChartName, source)
- count, tmpErr := data_manage.GetChartInfoCountByCondition(condition, pars)
- if tmpErr != nil {
- errMsg = "判断图表名称是否存在失败"
- err = errors.New("判断图表名称是否存在失败,Err:" + tmpErr.Error())
- return
- }
- if count > 0 {
- errMsg = "图表已存在,请重新填写"
- err = errors.New(errMsg)
- isSendEmail = false
- return
- }
- }
- disableVal := data.CheckIsDisableChart(edbInfoIdArr)
- chartInfo = new(data_manage.ChartInfo)
- chartInfo.ChartName = req.ChartName
- chartInfo.ChartNameEn = req.ChartName
- chartInfo.EdbInfoIds = edbInfoIdStr
- chartInfo.ChartClassifyId = req.ChartClassifyId
- chartInfo.SysUserId = sysUser.AdminId
- chartInfo.SysUserRealName = sysUser.RealName
- chartInfo.CreateTime = time.Now()
- chartInfo.ModifyTime = time.Now()
- chartInfo.IsSetName = 0
- timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
- chartInfo.UniqueCode = utils.MD5(utils.CHART_PREFIX + "_" + timestamp)
- chartInfo.ChartType = 9 // 相关性图
- chartInfo.Calendar = "公历"
- chartInfo.DateType = req.DateType
- chartInfo.StartDate = req.StartDate
- chartInfo.EndDate = req.EndDate
- chartInfo.SeasonStartDate = req.StartDate
- chartInfo.SeasonEndDate = req.EndDate
- chartInfo.ChartImage = req.ChartImage
- chartInfo.LeftMin = req.LeftMin
- chartInfo.LeftMax = req.LeftMax
- chartInfo.RightMin = req.RightMin
- chartInfo.RightMax = req.RightMax
- chartInfo.Disabled = disableVal
- chartInfo.Source = source
- chartInfo.ExtraConfig = req.ExtraConfig
- // 指标信息
- mapList := make([]*data_manage.ChartEdbMapping, 0)
- {
- mapItem := new(data_manage.ChartEdbMapping)
- mapItem.EdbInfoId = edbInfoMapping.EdbInfoId
- mapItem.CreateTime = time.Now()
- mapItem.ModifyTime = time.Now()
- mapItem.UniqueCode = utils.MD5(utils.CHART_PREFIX + "_" + strconv.FormatInt(time.Now().UnixNano(), 10) + "_" + strconv.Itoa(edbInfoMapping.EdbInfoId))
- mapItem.IsOrder = true
- mapItem.IsAxis = 1
- mapItem.EdbInfoType = 1
- mapItem.Source = utils.CHART_SOURCE_CORRELATION
- mapList = append(mapList, mapItem)
- }
- // 新增图表和指标mapping
- chartInfoId, e := line_feature.CreateLineFeatureChartAndEdb(chartInfo, mapList)
- if e != nil {
- errMsg = "操作失败"
- err = errors.New("新增相关性图表失败, Err: " + e.Error())
- return
- }
- // 添加指标引用记录
- _ = data.SaveChartEdbInfoRelation(edbInfoIdArr, chartInfo)
- //添加es数据
- go data.EsAddOrEditChartInfo(chartInfoId)
- return
- }
- // EditChartInfo 编辑图表
- func EditChartInfo(req data_manage.EditChartInfoReq, edbInfoMapping *data_manage.ChartEdbInfoMapping, sysUser *system.Admin, lang string) (chartItem *data_manage.ChartInfo, err error, errMsg string, isSendEmail bool) {
- isSendEmail = true
- chartItem, err = data_manage.GetChartInfoById(req.ChartInfoId)
- if err != nil {
- if err.Error() == utils.ErrNoRow() {
- errMsg = "图表已被删除,请刷新页面"
- err = errors.New(errMsg)
- isSendEmail = false
- return
- }
- errMsg = "获取图表信息失败"
- err = errors.New("获取图表信息失败,Err:" + err.Error())
- return
- }
- if !utils.InArrayByInt([]int{utils.CHART_SOURCE_LINE_FEATURE_STANDARD_DEVIATION, utils.CHART_SOURCE_LINE_FEATURE_PERCENTILE, utils.CHART_SOURCE_LINE_FEATURE_FREQUENCY}, chartItem.Source) {
- errMsg = "该图不是统计分析图表!"
- err = errors.New(errMsg)
- isSendEmail = false
- return
- }
- req.ChartName = strings.Trim(req.ChartName, " ")
- if req.ChartClassifyId <= 0 {
- errMsg = "分类参数错误!"
- err = errors.New(errMsg)
- isSendEmail = false
- return
- }
- chartClassify, err := data_manage.GetChartClassifyById(req.ChartClassifyId)
- if err != nil {
- if err.Error() == utils.ErrNoRow() {
- errMsg = "分类不存在"
- err = errors.New(errMsg)
- isSendEmail = false
- return
- }
- errMsg = "获取分类信息失败"
- err = errors.New("获取分类信息失败,Err:" + err.Error())
- return
- }
- if chartClassify == nil {
- errMsg = "分类不存在"
- err = errors.New(errMsg)
- isSendEmail = false
- return
- }
- // 图表操作权限
- ok := data.CheckOpChartPermission(sysUser, chartItem.SysUserId, true)
- if !ok {
- errMsg = "没有该图表的操作权限"
- err = errors.New(errMsg)
- isSendEmail = false
- return
- }
- edbInfoIdArr := []int{edbInfoMapping.EdbInfoId}
- var edbInfoIdArrStr []string
- for _, v := range edbInfoIdArr {
- edbInfoIdArrStr = append(edbInfoIdArrStr, strconv.Itoa(v))
- }
- edbInfoIdStr := strings.Join(edbInfoIdArrStr, ",")
- //判断图表是否存在
- {
- var condition string
- var pars []interface{}
- condition += " AND chart_info_id <> ? AND source = ? "
- pars = append(pars, req.ChartInfoId, chartItem.Source)
- switch lang {
- case utils.EnLangVersion:
- condition += " AND chart_name_en = ?"
- default:
- condition += " AND chart_name=?"
- }
- pars = append(pars, req.ChartName)
- count, tmpErr := data_manage.GetChartInfoCountByCondition(condition, pars)
- if tmpErr != nil {
- errMsg = "判断图表名称是否存在失败"
- err = errors.New("判断图表名称是否存在失败,Err:" + tmpErr.Error())
- return
- }
- if count > 0 {
- errMsg = "图表已存在,请重新填写"
- err = errors.New(errMsg)
- isSendEmail = false
- return
- }
- }
- // 图表启用与否
- disableVal := data.CheckIsDisableChart(edbInfoIdArr)
- switch lang {
- case utils.EnLangVersion:
- if req.ChartNameEn == `` {
- req.ChartNameEn = req.ChartName
- }
- default:
- if req.ChartNameEn == `` {
- req.ChartNameEn = chartItem.ChartNameEn
- }
- }
- // 修改图表与指标mapping
- err = line_feature.EditLineFeatureChartAndMapping(&req, edbInfoIdStr, "公历", req.DateType, disableVal, req.ExtraConfig)
- if err != nil {
- errMsg = "保存失败"
- err = errors.New("保存失败,Err:" + err.Error())
- return
- }
- resp := new(data_manage.AddChartInfoResp)
- resp.ChartInfoId = chartItem.ChartInfoId
- resp.UniqueCode = chartItem.UniqueCode
- resp.ChartType = req.ChartType
- // 添加指标引用记录
- _ = data.SaveChartEdbInfoRelation(edbInfoIdArr, chartItem)
- //添加es数据
- go data.EsAddOrEditChartInfo(chartItem.ChartInfoId)
- //修改my eta es数据
- go data.EsAddOrEditMyChartInfoByChartInfoId(chartItem.ChartInfoId)
- return
- }
- // CopyChartInfo 复制图表
- func CopyChartInfo(configId, configSource, classifyId int, chartName string, edbInfoMapping *data_manage.ChartEdbInfoMapping, oldChartInfo *data_manage.ChartInfo, sysUser *system.Admin, lang string) (chartInfo *data_manage.ChartInfo, err error, errMsg string, isSendEmail bool) {
- isSendEmail = true
- multipleGraphConfig, err := data_manage.GetMultipleGraphConfigById(configId)
- if err != nil {
- return
- }
- multipleGraphConfig.MultipleGraphConfigId = 0
- err = data_manage.AddMultipleGraphConfig(multipleGraphConfig)
- if err != nil {
- return
- }
- // 添加图
- addChartReq := data_manage.AddChartInfoReq{
- ChartClassifyId: classifyId,
- ChartName: chartName,
- ChartType: utils.CHART_TYPE_CURVE,
- Calendar: "公历",
- ExtraConfig: oldChartInfo.ExtraConfig,
- ChartImage: oldChartInfo.ChartImage,
- ChartThemeId: oldChartInfo.ChartThemeId,
- SourcesFrom: oldChartInfo.SourcesFrom,
- Instructions: oldChartInfo.Instructions,
- MarkersLines: oldChartInfo.MarkersLines,
- MarkersAreas: oldChartInfo.MarkersAreas,
- }
- chartSource := oldChartInfo.Source // 默认是相关性图
- chartInfo, err, errMsg, isSendEmail = AddChartInfo(addChartReq, edbInfoMapping, chartSource, sysUser, lang)
- if err != nil {
- return
- }
- // 添加关系
- multipleGraphConfigChartMapping := &data_manage.MultipleGraphConfigChartMapping{
- //Id: 0,
- MultipleGraphConfigId: multipleGraphConfig.MultipleGraphConfigId,
- ChartInfoId: chartInfo.ChartInfoId,
- Source: configSource,
- ModifyTime: time.Now(),
- CreateTime: time.Now(),
- }
- err = data_manage.AddMultipleGraphConfigChartMapping(multipleGraphConfigChartMapping)
- if err != nil {
- return
- }
- //添加es数据
- go data.EsAddOrEditChartInfo(chartInfo.ChartInfoId)
- return
- }
|