ai_predict_model_index.go 6.8 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221
  1. package services
  2. import (
  3. "encoding/json"
  4. aiPredictModel "eta/eta_mobile/models/ai_predict_model"
  5. "eta/eta_mobile/models/data_manage"
  6. "eta/eta_mobile/services/data"
  7. "eta/eta_mobile/utils"
  8. "fmt"
  9. "sort"
  10. "time"
  11. )
  12. func GetAiPredictChartDetailByData(indexItem *aiPredictModel.AiPredictModelIndex, indexData []*aiPredictModel.AiPredictModelData, source int) (resp *data_manage.ChartInfoDetailResp, err error) {
  13. resp = new(data_manage.ChartInfoDetailResp)
  14. // 标的配置
  15. var extraConfig aiPredictModel.AiPredictModelIndexExtraConfig
  16. if indexItem.ExtraConfig != "" {
  17. if e := json.Unmarshal([]byte(indexItem.ExtraConfig), &extraConfig); e != nil {
  18. err = fmt.Errorf("标的额外配置解析失败, Config: %s, Err: %v", indexItem.ExtraConfig, e)
  19. return
  20. }
  21. }
  22. // 图表信息
  23. var predictLegendName, confLeftMin, confLeftMax, unit string
  24. if source == aiPredictModel.ModelDataSourceDaily {
  25. predictLegendName = extraConfig.DailyChart.PredictLegendName
  26. if predictLegendName == "" {
  27. predictLegendName = "Predicted"
  28. }
  29. unit = extraConfig.DailyChart.Unit
  30. confLeftMin = extraConfig.DailyChart.LeftMin
  31. confLeftMax = extraConfig.DailyChart.LeftMax
  32. }
  33. if source == aiPredictModel.ModelDataSourceMonthly {
  34. predictLegendName = "预测值"
  35. unit = extraConfig.MonthlyChart.Unit
  36. confLeftMin = extraConfig.MonthlyChart.LeftMin
  37. confLeftMax = extraConfig.MonthlyChart.LeftMax
  38. }
  39. // 这里简单兼容下吧,暂时就不修数据了
  40. if confLeftMin == "" {
  41. confLeftMin = indexItem.LeftMin
  42. }
  43. if confLeftMax == "" {
  44. confLeftMax = indexItem.LeftMax
  45. }
  46. // 获取指标对应的图表
  47. chartSourceMapping := map[int]int{
  48. aiPredictModel.ModelDataSourceMonthly: utils.CHART_SOURCE_AI_PREDICT_MODEL_MONTHLY,
  49. aiPredictModel.ModelDataSourceDaily: utils.CHART_SOURCE_AI_PREDICT_MODEL_DAILY,
  50. }
  51. chartInfo, e := data_manage.GetAiPredictChartInfoByIndexId(chartSourceMapping[source], indexItem.AiPredictModelIndexId)
  52. if e != nil && e.Error() != utils.ErrNoRow() {
  53. err = fmt.Errorf("获取标的图表失败, %v", e)
  54. return
  55. }
  56. // 获取曲线图主题样式
  57. chartView := new(data_manage.ChartInfoView)
  58. if chartInfo != nil && chartInfo.ChartInfoId > 0 {
  59. chartView.ChartInfoId = chartInfo.ChartInfoId
  60. chartView.ChartName = chartInfo.ChartName
  61. chartView.ChartNameEn = chartInfo.ChartNameEn
  62. chartView.Source = chartInfo.Source
  63. chartView.ChartImage = chartInfo.ChartImage
  64. } else {
  65. chartView.ChartName = indexItem.IndexName
  66. chartView.ChartNameEn = indexItem.IndexName
  67. }
  68. chartView.ChartType = utils.CHART_SOURCE_DEFAULT
  69. chartTheme, e := data.GetChartThemeConfig(0, chartView.ChartType, utils.CHART_TYPE_CURVE)
  70. if e != nil {
  71. err = fmt.Errorf("获取图表主题样式失败, %v", e)
  72. return
  73. }
  74. chartView.ChartThemeStyle = chartTheme.Config
  75. chartView.ChartThemeId = chartTheme.ChartThemeId
  76. chartView.ChartName = indexItem.IndexName
  77. chartView.ChartNameEn = indexItem.IndexName
  78. chartView.DateType = 3
  79. chartView.Calendar = "公历"
  80. chartView.ChartSource = "AI预测模型"
  81. chartView.ChartSourceEn = "AI预测模型"
  82. chartView.Unit = unit
  83. chartView.UnitEn = unit
  84. // EdbList-固定一条为标的实际值、一条为预测值
  85. edbList := make([]*data_manage.ChartEdbInfoMapping, 0)
  86. edbActual, edbPredict := new(data_manage.ChartEdbInfoMapping), new(data_manage.ChartEdbInfoMapping)
  87. edbActual.EdbName = indexItem.IndexName
  88. edbActual.EdbNameEn = indexItem.IndexName
  89. edbActual.IsAxis = 1
  90. edbActual.Unit = unit
  91. edbActual.UnitEn = unit
  92. edbPredict.EdbName = predictLegendName
  93. edbPredict.EdbNameEn = predictLegendName
  94. edbPredict.IsAxis = 1
  95. edbPredict.Unit = unit
  96. edbPredict.UnitEn = unit
  97. actualData, predictData := make([]*data_manage.EdbDataList, 0), make([]*data_manage.EdbDataList, 0)
  98. var startDate, endDate time.Time
  99. var actualValues, predictValues []float64
  100. var actualNewest, predictNewest bool
  101. var actualLatestTimestamp int64 // 实际值最后一天的时间戳,作为日度图表的分割线
  102. for k, v := range indexData {
  103. // 如果实际值和预测值都是null那么该日期无效直接忽略
  104. if !v.Value.Valid && !v.PredictValue.Valid {
  105. continue
  106. }
  107. // 将有效值加入[]float64,最后取极值
  108. if v.Value.Valid {
  109. actualValues = append(actualValues, v.Value.Float64)
  110. }
  111. if v.PredictValue.Valid {
  112. predictValues = append(predictValues, v.PredictValue.Float64)
  113. }
  114. // 开始结束时间
  115. if k == 0 {
  116. startDate = v.DataTime
  117. endDate = v.CreateTime
  118. }
  119. if v.DataTime.Before(startDate) {
  120. startDate = v.DataTime
  121. }
  122. if v.DataTime.After(endDate) {
  123. endDate = v.DataTime
  124. }
  125. // 指标数据
  126. if v.Value.Valid {
  127. if !actualNewest {
  128. edbActual.LatestDate = v.DataTime.Format(utils.FormatDate)
  129. edbActual.LatestValue = v.Value.Float64
  130. actualLatestTimestamp = v.DataTime.UnixNano() / 1e6
  131. actualNewest = true
  132. }
  133. actualData = append(actualData, &data_manage.EdbDataList{
  134. DataTime: v.DataTime.Format(utils.FormatDate),
  135. Value: v.Value.Float64,
  136. DataTimestamp: v.DataTimestamp,
  137. })
  138. }
  139. if v.PredictValue.Valid {
  140. if !predictNewest {
  141. edbPredict.LatestDate = v.DataTime.Format(utils.FormatDate)
  142. edbPredict.LatestValue = v.Value.Float64
  143. predictNewest = true
  144. }
  145. predictData = append(predictData, &data_manage.EdbDataList{
  146. DataTime: v.DataTime.Format(utils.FormatDate),
  147. Value: v.PredictValue.Float64,
  148. DataTimestamp: v.DataTimestamp,
  149. })
  150. }
  151. }
  152. // 图表数据这里均做一个升序排序
  153. sort.Slice(actualData, func(i, j int) bool {
  154. return actualData[i].DataTimestamp < actualData[j].DataTimestamp
  155. })
  156. sort.Slice(predictData, func(i, j int) bool {
  157. return predictData[i].DataTimestamp < predictData[j].DataTimestamp
  158. })
  159. // 极值
  160. actualMin, actualMax := utils.FindMinMax(actualValues)
  161. predictMin, predictMax := utils.FindMinMax(predictValues)
  162. edbActual.MinData = actualMin
  163. edbActual.MaxData = actualMax
  164. edbPredict.MinData = predictMin
  165. edbPredict.MaxData = predictMax
  166. edbActual.DataList = actualData
  167. edbPredict.DataList = predictData
  168. edbList = append(edbList, edbActual, edbPredict)
  169. // 上下限
  170. if confLeftMin != "" {
  171. chartView.LeftMin = confLeftMin
  172. } else {
  173. leftMin := actualMin
  174. if leftMin > predictMin {
  175. leftMin = predictMin
  176. }
  177. chartView.LeftMin = fmt.Sprint(leftMin)
  178. }
  179. if confLeftMax != "" {
  180. chartView.LeftMax = confLeftMax
  181. } else {
  182. leftMax := actualMax
  183. if leftMax < predictMax {
  184. leftMax = predictMax
  185. }
  186. chartView.LeftMax = fmt.Sprint(leftMax)
  187. }
  188. chartView.StartDate = startDate.Format(utils.FormatDate)
  189. chartView.EndDate = endDate.Format(utils.FormatDate)
  190. // 日度图表的分割线日期
  191. if source == aiPredictModel.ModelDataSourceDaily {
  192. var dataResp struct {
  193. ActualLatestTimestamp int64
  194. }
  195. dataResp.ActualLatestTimestamp = actualLatestTimestamp
  196. resp.DataResp = dataResp
  197. }
  198. resp.ChartInfo = chartView
  199. resp.EdbInfoList = edbList
  200. return
  201. }