residual_analysis_service.go 37 KB

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  1. package residual_analysis_service
  2. import (
  3. "encoding/json"
  4. "eta/eta_api/models/data_manage"
  5. "eta/eta_api/models/residual_analysis_model"
  6. "eta/eta_api/models/system"
  7. "eta/eta_api/services/data"
  8. "eta/eta_api/utils"
  9. "fmt"
  10. "math"
  11. "sort"
  12. "strconv"
  13. "time"
  14. )
  15. func ResidualAnalysisPreview(req residual_analysis_model.ResidualAnalysisReq) (residual_analysis_model.ResidualAnalysisResp, error) {
  16. mappingList, err := data_manage.GetChartEdbMappingListByEdbInfoIdList([]int{req.EdbInfoIdA, req.EdbInfoIdB})
  17. if err != nil {
  18. return residual_analysis_model.ResidualAnalysisResp{}, fmt.Errorf("获取图表,指标信息失败,Err:%s", err.Error())
  19. }
  20. var edbInfoMappingA, edbInfoMappingB *data_manage.ChartEdbInfoMapping
  21. for _, v := range mappingList {
  22. if v.Unit == "无" {
  23. v.Unit = ""
  24. }
  25. if v.EdbInfoId == req.EdbInfoIdA {
  26. edbInfoMappingA = v
  27. }
  28. if v.EdbInfoId == req.EdbInfoIdB {
  29. edbInfoMappingB = v
  30. }
  31. }
  32. if edbInfoMappingA == nil {
  33. return residual_analysis_model.ResidualAnalysisResp{}, fmt.Errorf("指标A不存在")
  34. }
  35. if edbInfoMappingB == nil {
  36. return residual_analysis_model.ResidualAnalysisResp{}, fmt.Errorf("指标B不存在")
  37. }
  38. // 时间处理
  39. var startDate, endDate string
  40. switch req.DateType {
  41. case 0:
  42. startDate = req.StartDate
  43. endDate = req.EndDate
  44. case 1:
  45. startDate = req.StartDate
  46. endDate = ""
  47. default:
  48. startDate = utils.GetPreYearTime(req.DateType)
  49. endDate = ""
  50. }
  51. resp := residual_analysis_model.ResidualAnalysisResp{}
  52. // 原始图表信息
  53. originalEdbList := make([]residual_analysis_model.ResidualAnalysisChartEdbInfoMapping, 0)
  54. originalEdbList, fullADataList, fullBDataList, err := fillOriginalChart(req, mappingList, startDate, endDate, edbInfoMappingA, edbInfoMappingB, originalEdbList)
  55. if err != nil {
  56. return residual_analysis_model.ResidualAnalysisResp{}, err
  57. }
  58. originalChartInfo := createChartInfoResp(req, startDate, endDate, edbInfoMappingA.EdbName+"与"+edbInfoMappingB.EdbName)
  59. resp.OriginalChartData = residual_analysis_model.ChartResp{
  60. ChartInfo: originalChartInfo,
  61. EdbInfoList: originalEdbList,
  62. }
  63. // 如果只需要第一张图表的数据 直接返回,避免继续处理
  64. if req.QueryType == 1 {
  65. return resp, nil
  66. }
  67. dataAList, ok := edbInfoMappingA.DataList.([]*data_manage.EdbDataList)
  68. if !ok {
  69. return residual_analysis_model.ResidualAnalysisResp{}, fmt.Errorf("数据类型转换失败")
  70. }
  71. indexADataMap := map[string]*data_manage.EdbDataList{}
  72. for _, indexData := range dataAList {
  73. indexADataMap[indexData.DataTime] = indexData
  74. }
  75. // 映射图表信息
  76. mappingEdbList, a, b, r, err := fillMappingChartInfo(req, edbInfoMappingA, edbInfoMappingB, originalEdbList, indexADataMap, startDate, endDate, fullADataList, fullBDataList)
  77. if err != nil {
  78. return residual_analysis_model.ResidualAnalysisResp{}, err
  79. }
  80. mappingChartInfo := createChartInfoResp(req, startDate, endDate, edbInfoMappingA.EdbName+"与"+edbInfoMappingB.EdbName+"映射"+edbInfoMappingA.EdbName)
  81. resp.MappingChartData = residual_analysis_model.ChartResp{
  82. ChartInfo: mappingChartInfo,
  83. EdbInfoList: mappingEdbList,
  84. }
  85. // 残差图表信息
  86. residualEdbList, R2, err := fillResidualChartInfo(req, edbInfoMappingA, edbInfoMappingB, mappingEdbList)
  87. if err != nil {
  88. return residual_analysis_model.ResidualAnalysisResp{}, err
  89. }
  90. residualChartInfo := createChartInfoResp(req, startDate, endDate, edbInfoMappingA.EdbName+"与"+edbInfoMappingA.EdbName+"映射残差/"+edbInfoMappingB.EdbName)
  91. resp.ResidualChartData = residual_analysis_model.ChartResp{
  92. ChartInfo: residualChartInfo,
  93. EdbInfoList: residualEdbList,
  94. }
  95. if req.ResidualType == 2 {
  96. resp.A = math.Round(a*10000) / 10000
  97. resp.B = math.Round(b*10000) / 10000
  98. resp.R = math.Round(r*10000) / 10000
  99. resp.R2 = math.Round(R2*10000) / 10000
  100. }
  101. return resp, nil
  102. }
  103. func createChartInfoResp(req residual_analysis_model.ResidualAnalysisReq, startDate, endDate, chartName string) residual_analysis_model.ResidualAnalysisChartInfo {
  104. return residual_analysis_model.ResidualAnalysisChartInfo{
  105. Calendar: `公历`,
  106. Source: utils.CHART_SOURCE_DEFAULT,
  107. DateType: req.DateType,
  108. StartDate: startDate,
  109. EndDate: endDate,
  110. ChartType: utils.CHART_TYPE_CURVE,
  111. ChartName: chartName,
  112. }
  113. }
  114. func fillResidualChartInfo(req residual_analysis_model.ResidualAnalysisReq, edbInfoMappingA *data_manage.ChartEdbInfoMapping, edbInfoMappingB *data_manage.ChartEdbInfoMapping, mappingEdbList []residual_analysis_model.ResidualAnalysisChartEdbInfoMapping) ([]residual_analysis_model.ResidualAnalysisChartEdbInfoMapping, float64, error) {
  115. // 计算公式 映射残差 = 因变量指标 - 映射指标
  116. var edbInfoA, edbInfoB residual_analysis_model.ResidualAnalysisChartEdbInfoMapping
  117. if mappingEdbList[0].EdbInfoId == edbInfoMappingA.EdbInfoId {
  118. edbInfoA = mappingEdbList[0]
  119. edbInfoB = mappingEdbList[1]
  120. } else {
  121. edbInfoA = mappingEdbList[1]
  122. edbInfoB = mappingEdbList[0]
  123. }
  124. dataAList, ok := edbInfoA.DataList.([]*data_manage.EdbDataList)
  125. if !ok {
  126. return nil, 0, fmt.Errorf("数据类型转换失败")
  127. }
  128. edbData := make([]*data_manage.EdbDataList, len(dataAList))
  129. for i, data := range dataAList {
  130. edbData[i] = &data_manage.EdbDataList{
  131. Value: data.Value, // 确保为每个元素创建一个新的对象
  132. DataTimestamp: data.DataTimestamp,
  133. DataTime: data.DataTime,
  134. EdbInfoId: data.EdbInfoId,
  135. EdbDataId: data.EdbDataId,
  136. }
  137. }
  138. dataBList, ok := edbInfoB.DataList.([]*data_manage.EdbDataList)
  139. if !ok {
  140. return nil, 0, fmt.Errorf("数据类型转换失败")
  141. }
  142. // 映射指标开始时间
  143. var startTime string
  144. if len(dataBList) > 0 {
  145. startTime = dataBList[0].DataTime
  146. }
  147. var indexDataBMap = make(map[string]*data_manage.EdbDataList)
  148. for _, data := range dataBList {
  149. indexDataBMap[data.DataTime] = data
  150. }
  151. // 求R2
  152. var valueB, sumValueA, averageValueA, residualQuadraticSum, totalQuadraticSum, R2 float64
  153. for _, indexData := range edbData {
  154. // 因变量的值总和
  155. sumValueA += indexData.Value
  156. }
  157. // 因变量平均值
  158. averageValueA = sumValueA / float64(len(edbData))
  159. var indexMax, indexMin float64
  160. var edbDataResp []*data_manage.EdbDataList
  161. if len(edbData) > 0 {
  162. indexMax = edbData[0].Value
  163. indexMin = edbData[0].Value
  164. for _, indexData := range edbData {
  165. if dataB, ok := indexDataBMap[indexData.DataTime]; ok {
  166. valueB = dataB.Value
  167. } else {
  168. continue
  169. }
  170. // 总因变量平方和
  171. totalQuadraticSum += math.Pow(indexData.Value-averageValueA, 2)
  172. // 补全残差值
  173. indexData.Value = math.Round((indexData.Value-valueB)*10000) / 10000
  174. // 残差平方和
  175. residualQuadraticSum += math.Pow(indexData.Value, 2)
  176. if indexData.Value > indexMax {
  177. indexMax = indexData.Value
  178. }
  179. if indexData.Value < indexMin {
  180. indexMin = indexData.Value
  181. }
  182. // 获取映射指标之后的数据
  183. if startTime != "" && utils.CompareDate(startTime, indexData.DataTime) {
  184. edbDataResp = append(edbDataResp, indexData)
  185. }
  186. }
  187. }
  188. // 计算R2 公式:R2=1-SSE/SST R2越大,越符合线性 R2 = 1 - 残差平方和/总平方和
  189. R2 = 1 - residualQuadraticSum/totalQuadraticSum
  190. mappingEdb := make([]residual_analysis_model.ResidualAnalysisChartEdbInfoMapping, len(mappingEdbList))
  191. copy(mappingEdb, mappingEdbList)
  192. for i, mapping := range mappingEdb {
  193. if mapping.EdbInfoId != edbInfoMappingA.EdbInfoId {
  194. mappingEdb[i].DataList = edbDataResp
  195. mappingEdb[i].EdbName = edbInfoMappingA.EdbName + "映射残差/" + edbInfoMappingB.EdbName
  196. if req.IndexType == 2 {
  197. if req.LeadValue > 0 {
  198. mappingEdb[i].EdbName = edbInfoMappingA.EdbName + "映射残差/" + edbInfoMappingB.EdbName + "(领先" + strconv.Itoa(req.LeadValue) + req.LeadFrequency + ")"
  199. }
  200. }
  201. mappingEdb[i].IsAxis = 1
  202. mappingEdb[i].ChartColor = `#00F`
  203. mappingEdb[i].IsOrder = false
  204. mappingEdb[i].ChartWidth = 3
  205. mappingEdb[i].MinValue = indexMin
  206. mappingEdb[i].MaxValue = indexMax
  207. } else {
  208. mappingEdb[i].IsAxis = 0
  209. mappingEdb[i].ChartColor = `#F00`
  210. mappingEdb[i].ChartWidth = 1
  211. }
  212. }
  213. reverse(mappingEdb)
  214. return mappingEdb, R2, nil
  215. }
  216. // 双指针法
  217. func reverse(slice []residual_analysis_model.ResidualAnalysisChartEdbInfoMapping) {
  218. left, right := 0, len(slice)-1
  219. for left < right {
  220. // 交换元素
  221. slice[left], slice[right] = slice[right], slice[left]
  222. left++
  223. right--
  224. }
  225. }
  226. func fillMappingChartInfo(req residual_analysis_model.ResidualAnalysisReq, edbInfoMappingA *data_manage.ChartEdbInfoMapping, edbInfoMappingB *data_manage.ChartEdbInfoMapping, originalEdbList []residual_analysis_model.ResidualAnalysisChartEdbInfoMapping, indexADataMap map[string]*data_manage.EdbDataList, startDate string, endDate string, fullADataList []*data_manage.EdbDataList, fullBDataList []*data_manage.EdbDataList) ([]residual_analysis_model.ResidualAnalysisChartEdbInfoMapping, float64, float64, float64, error) {
  227. // 计算公式:Y=aX+b,Y为映射后的指标,X为自变量指标
  228. // 正序:a=(L2-L1)/(R2-R1) b=L2-R2*a
  229. // 逆序:a=(L2-L1)/(R1-R2) b=L2-R1*a
  230. // L2:左轴下限 R2:右轴上限 L1:左轴上限 R1:右轴下限
  231. var a, b, r float64
  232. // 映射残差 计算a,b
  233. if req.ResidualType == 1 {
  234. if req.IsOrder {
  235. a = (req.LeftIndexMax - req.LeftIndexMin) / (req.RightIndexMin - req.RightIndexMax)
  236. b = req.LeftIndexMax - req.RightIndexMin*a
  237. } else {
  238. a = (req.LeftIndexMax - req.LeftIndexMin) / (req.RightIndexMax - req.RightIndexMin)
  239. b = req.LeftIndexMax - req.RightIndexMax*a
  240. }
  241. }
  242. //dataAList := edbInfoMappingA.DataList.([]*data_manage.EdbDataList)
  243. dataList, ok := edbInfoMappingB.DataList.([]*data_manage.EdbDataList)
  244. if !ok {
  245. return nil, a, b, r, fmt.Errorf("数据类型转换失败")
  246. }
  247. // 指标B数据补充
  248. // 新建一个切片来保存补充的数据
  249. var replenishDataList []*data_manage.EdbDataList
  250. for index := 0; index < len(dataList)-1; index++ {
  251. // 获取当前数据和下一个数据
  252. beforeIndexData := dataList[index]
  253. afterIndexData := dataList[index+1]
  254. // 从最早时间开始,补充时间为自然日
  255. for utils.IsMoreThanOneDay(beforeIndexData.DataTime, afterIndexData.DataTime) {
  256. // 创建补充数据
  257. nextDay := utils.GetNextDay(beforeIndexData.DataTime)
  258. toTime := utils.StringToTime(nextDay)
  259. replenishIndexData := data_manage.EdbDataList{
  260. DataTime: nextDay, // 计算下一个自然日
  261. DataTimestamp: toTime.UnixMilli(),
  262. Value: beforeIndexData.Value, // 可以选择使用前一天的值,或者其他逻辑来计算值
  263. }
  264. // 将补充数据加入补充数据列表
  265. replenishDataList = append(replenishDataList, &replenishIndexData)
  266. // 更新 beforeIndexData 为新创建的补充数据
  267. beforeIndexData = &replenishIndexData
  268. }
  269. }
  270. // 将补充数据插入原始数据列表
  271. dataList = append(dataList, replenishDataList...)
  272. // 排序
  273. sort.Sort(ByDataTime(dataList))
  274. // 拟合残差 计算a,b
  275. var coordinateList []utils.Coordinate
  276. var replenishADataList []*data_manage.EdbDataList
  277. var replenishBDataList []*data_manage.EdbDataList
  278. if req.ResidualType == 2 {
  279. //
  280. // 因变量指标也转换为日度
  281. for index := 0; index < len(fullADataList)-1; index++ {
  282. // 获取当前数据和下一个数据
  283. beforeIndexData := fullADataList[index]
  284. afterIndexData := fullADataList[index+1]
  285. replenishADataList = append(replenishADataList, beforeIndexData)
  286. // 从最早时间开始,补充时间为自然日
  287. if utils.IsMoreThanOneDay(beforeIndexData.DataTime, afterIndexData.DataTime) {
  288. for {
  289. // 创建补充数据
  290. nextDay := utils.GetNextDay(beforeIndexData.DataTime)
  291. toTime := utils.StringToTime(nextDay)
  292. replenishIndexData := data_manage.EdbDataList{
  293. DataTime: nextDay, // 计算下一个自然日
  294. DataTimestamp: toTime.UnixMilli(),
  295. Value: beforeIndexData.Value, // 可以选择使用前一天的值,或者其他逻辑来计算值
  296. }
  297. // 将补充数据加入补充数据列表
  298. replenishADataList = append(replenishADataList, &replenishIndexData)
  299. // 更新 beforeIndexData 为新创建的补充数据
  300. beforeIndexData = &replenishIndexData
  301. // 检查是否还需要继续补充数据
  302. if !utils.IsMoreThanOneDay(beforeIndexData.DataTime, afterIndexData.DataTime) {
  303. break
  304. }
  305. }
  306. }
  307. }
  308. replenishADataList = append(replenishADataList, fullADataList[len(fullADataList)-1])
  309. // 自变量指标也转换为日度
  310. for index := 0; index < len(fullBDataList)-1; index++ {
  311. // 获取当前数据和下一个数据
  312. beforeIndexData := fullBDataList[index]
  313. afterIndexData := fullBDataList[index+1]
  314. replenishBDataList = append(replenishBDataList, beforeIndexData)
  315. // 从最早时间开始,补充时间为自然日
  316. if utils.IsMoreThanOneDay(beforeIndexData.DataTime, afterIndexData.DataTime) {
  317. for {
  318. // 创建补充数据
  319. nextDay := utils.GetNextDay(beforeIndexData.DataTime)
  320. toTime := utils.StringToTime(nextDay)
  321. replenishIndexData := data_manage.EdbDataList{
  322. DataTime: nextDay, // 计算下一个自然日
  323. DataTimestamp: toTime.UnixMilli(),
  324. Value: beforeIndexData.Value, // 可以选择使用前一天的值,或者其他逻辑来计算值
  325. }
  326. // 将补充数据加入补充数据列表
  327. replenishBDataList = append(replenishBDataList, &replenishIndexData)
  328. // 更新 beforeIndexData 为新创建的补充数据
  329. beforeIndexData = &replenishIndexData
  330. // 检查是否还需要继续补充数据
  331. if !utils.IsMoreThanOneDay(beforeIndexData.DataTime, afterIndexData.DataTime) {
  332. break
  333. }
  334. }
  335. }
  336. }
  337. replenishBDataList = append(replenishBDataList, fullBDataList[len(fullBDataList)-1])
  338. // replenishADataList --> map
  339. replenishADataMap := make(map[string]*data_manage.EdbDataList)
  340. for _, indexData := range replenishADataList {
  341. if (utils.StringToTime(indexData.DataTime).After(utils.StringToTime(startDate)) || utils.StringToTime(indexData.DataTime).Equal(utils.StringToTime(startDate))) && (endDate == "" || utils.StringToTime(indexData.DataTime).Before(utils.StringToTime(endDate))) {
  342. replenishADataMap[indexData.DataTime] = indexData
  343. }
  344. }
  345. for _, indexData := range replenishBDataList {
  346. if _, ok = replenishADataMap[indexData.DataTime]; ok {
  347. coordinate := utils.Coordinate{
  348. X: indexData.Value,
  349. Y: replenishADataMap[indexData.DataTime].Value,
  350. }
  351. coordinateList = append(coordinateList, coordinate)
  352. }
  353. }
  354. a, b = utils.GetLinearResult(coordinateList)
  355. r = utils.ComputeCorrelation(coordinateList)
  356. }
  357. // 填充映射指标值 使得时间长度一致
  358. dataList = FillDataBList(dataList, edbInfoMappingA)
  359. // 根据指标A的时间key,在B的映射指标中筛选出对应的值
  360. var dataBList []*data_manage.EdbDataList
  361. var indexMax, indexMin float64
  362. if len(dataList) > 0 {
  363. indexMax = dataList[0].Value
  364. indexMin = dataList[0].Value
  365. for _, indexData := range dataList {
  366. if _, ok := indexADataMap[indexData.DataTime]; ok {
  367. indexDataCopy := *indexData
  368. // 计算指标B映射值
  369. indexDataCopy.Value = math.Round((a*indexData.Value+b)*10000) / 10000
  370. // 比较最大值
  371. if indexData.Value > indexMax {
  372. indexMax = indexData.Value
  373. }
  374. // 比较最小值
  375. if indexData.Value < indexMin {
  376. indexMin = indexData.Value
  377. }
  378. // 将副本添加到 dataBList
  379. dataBList = append(dataBList, &indexDataCopy)
  380. }
  381. }
  382. }
  383. mappingEdbList := make([]residual_analysis_model.ResidualAnalysisChartEdbInfoMapping, len(originalEdbList))
  384. copy(mappingEdbList, originalEdbList)
  385. for i, mapping := range mappingEdbList {
  386. if mapping.EdbInfoId != req.EdbInfoIdA {
  387. mappingEdbList[i].EdbInfoId = 0
  388. mappingEdbList[i].EdbCode = ""
  389. mappingEdbList[i].IsAxis = 1
  390. mappingEdbList[i].EdbName = edbInfoMappingB.EdbName + "映射" + edbInfoMappingA.EdbName
  391. if req.IndexType == 2 {
  392. if req.LeadValue > 0 {
  393. mappingEdbList[i].EdbName = edbInfoMappingB.EdbName + "映射" + edbInfoMappingA.EdbName + "(领先" + strconv.Itoa(req.LeadValue) + req.LeadFrequency + ")"
  394. }
  395. }
  396. mappingEdbList[i].DataList = dataBList
  397. mappingEdbList[i].MinValue = indexMin
  398. mappingEdbList[i].MaxValue = indexMax
  399. }
  400. }
  401. return mappingEdbList, a, b, r, nil
  402. }
  403. // FillDataBList 填充B的数据 使得与A的时间保持一致
  404. func FillDataBList(dataList []*data_manage.EdbDataList, edbInfoMappingA *data_manage.ChartEdbInfoMapping) []*data_manage.EdbDataList {
  405. dataAList, ok := edbInfoMappingA.DataList.([]*data_manage.EdbDataList)
  406. if !ok {
  407. return nil
  408. }
  409. for utils.StringToTime(dataList[len(dataList)-1].DataTime).Before(utils.StringToTime(dataAList[len(dataAList)-1].DataTime)) {
  410. // 使用A的时间填充时间差
  411. timeDiff := utils.GetNextDayN(dataList[len(dataList)-1].DataTime, 1)
  412. // 创建新的数据点并填充 前值填充
  413. newDataPoint := &data_manage.EdbDataList{
  414. DataTime: timeDiff,
  415. Value: dataList[len(dataList)-1].Value,
  416. DataTimestamp: utils.StringToTime(timeDiff).UnixMilli(),
  417. }
  418. // 将新数据点添加到dataList末尾
  419. dataList = append(dataList, newDataPoint)
  420. }
  421. return dataList
  422. }
  423. type ByDataTime []*data_manage.EdbDataList
  424. func (a ByDataTime) Len() int {
  425. return len(a)
  426. }
  427. func (a ByDataTime) Swap(i, j int) {
  428. a[i], a[j] = a[j], a[i]
  429. }
  430. func (a ByDataTime) Less(i, j int) bool {
  431. t1 := utils.StringToTime(a[i].DataTime)
  432. t2 := utils.StringToTime(a[j].DataTime)
  433. return t1.Before(t2)
  434. }
  435. func fillOriginalChart(req residual_analysis_model.ResidualAnalysisReq, mappingList []*data_manage.ChartEdbInfoMapping, startDate string, endDate string, edbInfoMappingA *data_manage.ChartEdbInfoMapping, edbInfoMappingB *data_manage.ChartEdbInfoMapping, originalEdbList []residual_analysis_model.ResidualAnalysisChartEdbInfoMapping) ([]residual_analysis_model.ResidualAnalysisChartEdbInfoMapping, []*data_manage.EdbDataList, []*data_manage.EdbDataList, error) {
  436. var fullADataList, fullBDataList []*data_manage.EdbDataList
  437. for _, v := range mappingList {
  438. var edbInfoMapping residual_analysis_model.ResidualAnalysisChartEdbInfoMapping
  439. edbInfoMapping.EdbInfoType = 1
  440. edbInfoMapping.IsOrder = false
  441. edbInfoMapping.IsAxis = 1
  442. edbInfoMapping.ChartColor = `#00F`
  443. edbInfoMapping.ChartWidth = 3
  444. edbInfoMapping.EdbName = v.EdbName
  445. edbInfoMapping.LeftIndexMin = req.LeftIndexMin
  446. edbInfoMapping.LeftIndexMax = req.LeftIndexMax
  447. edbInfoMapping.RightIndexMin = req.RightIndexMin
  448. edbInfoMapping.RightIndexMax = req.RightIndexMax
  449. edbInfoMapping.ResidualIndexMin = req.ResidualIndexMin
  450. edbInfoMapping.ResidualIndexMax = req.ResidualIndexMax
  451. edbInfoMapping.ContrastIndexMin = req.ContrastIndexMin
  452. edbInfoMapping.ContrastIndexMax = req.ContrastIndexMax
  453. // 获取图表中的指标数据
  454. dataList, err := data_manage.GetEdbDataList(v.Source, v.SubSource, v.EdbInfoId, startDate, endDate)
  455. if err != nil {
  456. return nil, nil, nil, fmt.Errorf("获取指标数据失败,Err:%s", err.Error())
  457. }
  458. // 重新获取指标数据 产品要求需要和计算指标-拟合残差逻辑保持一致
  459. fullDataList, err := data_manage.GetEdbDataList(v.Source, v.SubSource, v.EdbInfoId, "", "")
  460. if err != nil {
  461. return nil, nil, nil, fmt.Errorf("获取指标数据失败,Err:%s", err.Error())
  462. }
  463. if v.EdbInfoId == req.EdbInfoIdB {
  464. edbInfoMapping.LeadValue = req.LeadValue
  465. edbInfoMapping.LeadUnit = req.LeadFrequency
  466. edbInfoMapping.EdbInfoType = req.IndexType
  467. edbInfoMapping.IsOrder = req.IsOrder
  468. edbInfoMapping.IsAxis = 0
  469. edbInfoMapping.ChartColor = `#F00`
  470. edbInfoMapping.ChartWidth = 1
  471. // 领先指标 dataList进行数据处理
  472. if req.IndexType == 2 {
  473. if req.LeadValue < 0 {
  474. return nil, nil, nil, fmt.Errorf("领先值不能小于0")
  475. } else if req.LeadValue > 0 {
  476. edbInfoMapping.EdbName = v.EdbName + "(领先" + strconv.Itoa(req.LeadValue) + req.LeadFrequency + ")"
  477. for _, indexData := range dataList {
  478. switch req.LeadFrequency {
  479. case "天":
  480. indexData.DataTime = utils.GetNextDayN(indexData.DataTime, req.LeadValue)
  481. case "周":
  482. indexData.DataTime = utils.GetNextDayN(indexData.DataTime, req.LeadValue*7)
  483. case "月":
  484. indexData.DataTime = utils.TimeToString(utils.AddDate(utils.StringToTime(indexData.DataTime), 0, req.LeadValue), utils.YearMonthDay)
  485. case "季":
  486. indexData.DataTime = utils.TimeToString(utils.AddDate(utils.StringToTime(indexData.DataTime), 0, req.LeadValue*3), utils.YearMonthDay)
  487. case "年":
  488. indexData.DataTime = utils.TimeToString(utils.AddDate(utils.StringToTime(indexData.DataTime), req.LeadValue, 0), utils.YearMonthDay)
  489. }
  490. indexData.DataTimestamp = utils.StringToTime(indexData.DataTime).UnixMilli()
  491. }
  492. }
  493. }
  494. edbInfoMappingB.DataList = dataList
  495. fullBDataList = fullDataList
  496. } else {
  497. edbInfoMappingA.DataList = dataList
  498. fullADataList = fullDataList
  499. }
  500. edbInfoMapping.EdbInfoId = v.EdbInfoId
  501. edbInfoMapping.EdbCode = v.EdbCode
  502. edbInfoMapping.Unit = v.Unit
  503. edbInfoMapping.Frequency = v.Frequency
  504. edbInfoMapping.Source = v.Source
  505. edbInfoMapping.SourceName = v.SourceName
  506. edbInfoMapping.MinValue = v.MinValue
  507. edbInfoMapping.MaxValue = v.MaxValue
  508. edbInfoMapping.LatestDate = v.LatestDate
  509. edbInfoMapping.LatestValue = v.LatestValue
  510. edbInfoMapping.DataList = dataList
  511. originalEdbList = append(originalEdbList, edbInfoMapping)
  512. }
  513. return originalEdbList, fullADataList, fullBDataList, nil
  514. }
  515. func ContrastPreview(indexCode string, startTime string, endTime string) (residual_analysis_model.ResidualAnalysisChartEdbInfoMapping, error) {
  516. var condition string
  517. var pars []interface{}
  518. if indexCode != "" {
  519. condition += " and edb_code=?"
  520. pars = append(pars, indexCode)
  521. }
  522. edbInfo, err := data_manage.GetEdbInfoByCondition(condition, pars)
  523. if err != nil {
  524. return residual_analysis_model.ResidualAnalysisChartEdbInfoMapping{}, err
  525. }
  526. if edbInfo == nil {
  527. return residual_analysis_model.ResidualAnalysisChartEdbInfoMapping{}, fmt.Errorf("指标不存在")
  528. }
  529. dataList, err := data_manage.GetEdbDataList(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbInfoId, startTime, endTime)
  530. var resp residual_analysis_model.ResidualAnalysisChartEdbInfoMapping
  531. resp.EdbInfoId = edbInfo.EdbInfoId
  532. resp.EdbCode = edbInfo.EdbCode
  533. resp.ChartColor = "#F00"
  534. resp.SourceName = edbInfo.SourceName
  535. resp.EdbName = edbInfo.EdbName
  536. resp.Unit = edbInfo.Unit
  537. resp.Frequency = edbInfo.Frequency
  538. resp.MinValue = edbInfo.MinValue
  539. resp.MaxValue = edbInfo.MaxValue
  540. resp.DataList = dataList
  541. return resp, nil
  542. }
  543. func SaveResidualAnalysis(req residual_analysis_model.ResidualAnalysisIndexSaveReq, sysUser *system.Admin) error {
  544. // 验证分类是否存在
  545. classifyCount, err := data_manage.GetEdbClassifyCountById(req.ClassifyId)
  546. if err != nil {
  547. return err
  548. }
  549. if classifyCount <= 0 {
  550. return fmt.Errorf("分类不存在")
  551. }
  552. // 校验名称是否重复
  553. var condition string
  554. var pars []interface{}
  555. condition += " and source = ? AND edb_name=?"
  556. pars = append(pars, req.Source, req.EdbName)
  557. edbInfoByCondition, err := data_manage.GetEdbInfoByCondition(condition, pars)
  558. if err != nil && err.Error() != utils.ErrNoRow() {
  559. return err
  560. }
  561. // 获取指标数据最大值 最小值 最后更新时间 最后更新时间对应的值 开始时间 最后时间
  562. var indexMax, indexMin, indexLatestValue float64
  563. var indexLatestDate, startDate string
  564. if len(req.DataList) > 0 {
  565. latestTime, _ := time.Parse(utils.YearMonthDay, req.DataList[0].DataTime)
  566. firstTime, _ := time.Parse(utils.YearMonthDay, req.DataList[0].DataTime)
  567. for _, data := range req.DataList {
  568. // 比较最大值
  569. if data.Value > indexMax {
  570. indexMax = data.Value
  571. }
  572. // 比较最小值
  573. if data.Value < indexMin {
  574. indexMin = data.Value
  575. }
  576. // 比较最新时间和对应值
  577. currentTime, err := time.Parse(utils.YearMonthDay, data.DataTime)
  578. if err != nil {
  579. // 时间解析失败,跳过此项
  580. continue
  581. }
  582. // 如果当前时间更晚
  583. if !currentTime.Before(latestTime) {
  584. latestTime = currentTime
  585. indexLatestDate = data.DataTime
  586. indexLatestValue = data.Value
  587. }
  588. // 取最小时间
  589. if !currentTime.After(firstTime) {
  590. firstTime = currentTime
  591. startDate = data.DataTime
  592. }
  593. }
  594. }
  595. // 更新保存指标和配置的映射关系
  596. mappingList, err := residual_analysis_model.GetConfigMappingListByConfigId(req.ConfigId)
  597. if err != nil {
  598. return err
  599. }
  600. // 判断是更新还是修改 看指标配置映射中,是否存在对应指标 存在 则更新 不存在 则新增
  601. var edbInfoMapping residual_analysis_model.CalculateResidualAnalysisConfigMapping
  602. for _, mapping := range mappingList {
  603. if req.IndexType == mapping.IndexType && req.IndexType != 0 {
  604. edbInfoMapping = mapping
  605. }
  606. }
  607. var edbInfoId int64
  608. var edbCode string
  609. // 更新or新增
  610. if edbInfoMapping.EdbInfoId > 0 {
  611. // 查询指标库指标
  612. edbInfo, err := data_manage.GetEdbInfoById(int(edbInfoMapping.EdbInfoId))
  613. if err != nil {
  614. return err
  615. }
  616. if edbInfo == nil {
  617. return fmt.Errorf("指标不存在")
  618. }
  619. edbInfoId = int64(edbInfo.EdbInfoId)
  620. edbCode = edbInfo.EdbCode
  621. if edbInfoByCondition != nil && edbInfoByCondition.EdbInfoId != edbInfo.EdbInfoId {
  622. return fmt.Errorf("指标名称重复")
  623. }
  624. // 须补充更新指标最大值,最小值,数据最新时间,数据最新值
  625. edbInfo.StartDate = startDate
  626. edbInfo.EndDate = indexLatestDate
  627. edbInfo.MaxValue = indexMax
  628. edbInfo.MinValue = indexMin
  629. edbInfo.LatestDate = indexLatestDate
  630. edbInfo.LatestValue = indexLatestValue
  631. edbInfo.Unit = req.Unit
  632. edbInfo.Frequency = req.Frequency
  633. edbInfo.ClassifyId = req.ClassifyId
  634. edbInfo.EdbName = req.EdbName
  635. err = edbInfo.Update([]string{"min_value", "max_value", "latest_date", "latest_value", "unit", "frequency", "classify_id", "edb_name"})
  636. if err != nil {
  637. return err
  638. }
  639. // 删除对应得指标数据
  640. err = residual_analysis_model.DeleteResidualAnalysisDataByEdbCode(edbInfo.EdbCode)
  641. if err != nil {
  642. return fmt.Errorf("删除指标数据失败")
  643. }
  644. } else {
  645. if edbInfoByCondition != nil {
  646. return fmt.Errorf("指标名称重复")
  647. }
  648. // 新增指标
  649. edbCode, err = utils.GenerateEdbCode(1, "")
  650. if err != nil {
  651. return err
  652. }
  653. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  654. edbInfoId, err = data_manage.AddEdbInfo(&data_manage.EdbInfo{
  655. EdbCode: edbCode,
  656. UniqueCode: utils.MD5(utils.CHART_PREFIX + "_" + timestamp),
  657. EdbName: req.EdbName,
  658. EdbNameEn: req.EdbNameEn,
  659. ClassifyId: req.ClassifyId,
  660. EdbType: req.EdbType,
  661. Unit: req.Unit,
  662. UnitEn: req.UnitEn,
  663. Frequency: req.Frequency,
  664. Source: req.Source,
  665. SourceName: "残差分析",
  666. Calendar: req.Calendar,
  667. SysUserRealName: sysUser.RealName,
  668. SysUserId: sysUser.AdminId,
  669. StartDate: startDate,
  670. EndDate: indexLatestDate,
  671. LatestDate: indexLatestDate,
  672. LatestValue: indexLatestValue,
  673. MinValue: indexMin,
  674. MaxValue: indexMax,
  675. CreateTime: time.Now(),
  676. ModifyTime: time.Now(),
  677. })
  678. if err != nil {
  679. return err
  680. }
  681. // 新增指标配置关系
  682. _, err = residual_analysis_model.SaveConfigMapping(residual_analysis_model.CalculateResidualAnalysisConfigMapping{
  683. CalculateResidualAnalysisConfigId: req.ConfigId,
  684. EdbInfoId: edbInfoId,
  685. ResidualType: req.ResidualType,
  686. IndexType: req.IndexType,
  687. CreateTime: time.Now(),
  688. ModifyTime: time.Now(),
  689. })
  690. if err != nil {
  691. return err
  692. }
  693. // 保存溯源信息
  694. {
  695. fromEdbInfoList, err := data_manage.GetEdbInfoByIdList([]int{req.EdbInfoIdA, req.EdbInfoIdB})
  696. if err != nil {
  697. return fmt.Errorf("获取失败")
  698. }
  699. edbCalculateMappingInfoList := make([]*data_manage.EdbInfoCalculateMapping, 0, len(fromEdbInfoList))
  700. for _, fromEdbInfo := range fromEdbInfoList {
  701. // 创建新对象并直接使用指针
  702. edbCalculateMappingInfo := &data_manage.EdbInfoCalculateMapping{
  703. EdbInfoId: int(edbInfoId),
  704. Source: req.Source,
  705. SourceName: "残差分析",
  706. EdbCode: edbCode,
  707. FromEdbInfoId: fromEdbInfo.EdbInfoId,
  708. FromEdbCode: fromEdbInfo.EdbCode,
  709. FromEdbName: fromEdbInfo.EdbName,
  710. FromSource: fromEdbInfo.Source,
  711. FromSourceName: fromEdbInfo.SourceName,
  712. CreateTime: time.Now(),
  713. ModifyTime: time.Now(),
  714. }
  715. edbCalculateMappingInfoList = append(edbCalculateMappingInfoList, edbCalculateMappingInfo)
  716. }
  717. err = data_manage.AddEdbInfoCalculateMappingMulti(edbCalculateMappingInfoList)
  718. if err != nil {
  719. return fmt.Errorf("保存溯源信息失败,Err:" + err.Error())
  720. }
  721. }
  722. }
  723. // 新增数据
  724. for i := range req.DataList {
  725. req.DataList[i].EdbDataId = 0
  726. req.DataList[i].EdbInfoId = int(edbInfoId)
  727. req.DataList[i].EdbCode = edbCode
  728. }
  729. _, err = residual_analysis_model.AddResidualAnalysisData(req.DataList)
  730. if err != nil {
  731. return err
  732. }
  733. // 新增自变量 因变量与配置得关系 配置中不存在该指标,则新增
  734. var indexMap = make(map[int64]residual_analysis_model.CalculateResidualAnalysisConfigMapping)
  735. for _, mapping := range mappingList {
  736. indexMap[mapping.EdbInfoId] = mapping
  737. }
  738. if _, ok := indexMap[int64(req.EdbInfoIdA)]; !ok {
  739. _, err = residual_analysis_model.SaveConfigMapping(residual_analysis_model.CalculateResidualAnalysisConfigMapping{
  740. CalculateResidualAnalysisConfigId: req.ConfigId,
  741. EdbInfoId: int64(req.EdbInfoIdA),
  742. ResidualType: req.ResidualType,
  743. IndexType: 3,
  744. CreateTime: time.Now(),
  745. ModifyTime: time.Now(),
  746. })
  747. if err != nil {
  748. return err
  749. }
  750. }
  751. if _, ok := indexMap[int64(req.EdbInfoIdB)]; !ok {
  752. _, err = residual_analysis_model.SaveConfigMapping(residual_analysis_model.CalculateResidualAnalysisConfigMapping{
  753. CalculateResidualAnalysisConfigId: req.ConfigId,
  754. EdbInfoId: int64(req.EdbInfoIdB),
  755. ResidualType: req.ResidualType,
  756. IndexType: 4,
  757. CreateTime: time.Now(),
  758. ModifyTime: time.Now(),
  759. })
  760. if err != nil {
  761. return err
  762. }
  763. }
  764. //添加es
  765. data.AddOrEditEdbInfoToEs(int(edbInfoId))
  766. return nil
  767. }
  768. func ResidualAnalysisDetail(edbInfoId int) (residual_analysis_model.ResidualAnalysisDetailResp, error) {
  769. // 通过指标配置映射表 拿到配置id,再获取关联的所有指标信息
  770. var condition string
  771. var pars []interface{}
  772. condition += " and edb_info_id=?"
  773. pars = append(pars, edbInfoId)
  774. mappingList, err := residual_analysis_model.GetConfigMappingListByCondition(condition, pars)
  775. if err != nil {
  776. return residual_analysis_model.ResidualAnalysisDetailResp{}, err
  777. }
  778. if len(mappingList) <= 0 {
  779. return residual_analysis_model.ResidualAnalysisDetailResp{}, fmt.Errorf("指标不存在")
  780. }
  781. mapping := mappingList[0]
  782. configMappingList, err := residual_analysis_model.GetConfigMappingListByConfigId(mapping.CalculateResidualAnalysisConfigId)
  783. if err != nil {
  784. return residual_analysis_model.ResidualAnalysisDetailResp{}, err
  785. }
  786. var edbInfoIdList []int64
  787. var edbInfoMap = make(map[int64]residual_analysis_model.CalculateResidualAnalysisConfigMapping)
  788. var mappgingFlag = false
  789. var residualFlag = false
  790. for _, v := range configMappingList {
  791. edbInfoIdList = append(edbInfoIdList, v.EdbInfoId)
  792. edbInfoMap[v.EdbInfoId] = v
  793. if v.IndexType == 1 {
  794. mappgingFlag = true
  795. } else if v.IndexType == 2 {
  796. residualFlag = true
  797. }
  798. }
  799. condition = ""
  800. pars = []interface{}{}
  801. condition += ` and edb_info_id in(` + utils.GetOrmInReplace(len(edbInfoIdList)) + `)`
  802. for _, id := range edbInfoIdList {
  803. pars = append(pars, id)
  804. }
  805. edbInfoList, err := data_manage.GetEdbInfoListByCond(condition, pars)
  806. if err != nil {
  807. return residual_analysis_model.ResidualAnalysisDetailResp{}, err
  808. }
  809. // 获取配置
  810. configInfo, err := residual_analysis_model.GetResidualAnalysisConfigById(mapping.CalculateResidualAnalysisConfigId)
  811. if err != nil {
  812. return residual_analysis_model.ResidualAnalysisDetailResp{}, err
  813. }
  814. var edbInfoListResp []*residual_analysis_model.DetailEdbInfoList
  815. var dependentEdbInfo residual_analysis_model.DetailEdbInfoList
  816. var independentEdbInfo residual_analysis_model.DetailEdbInfoList
  817. for _, edbInfo := range edbInfoList {
  818. var indexType int
  819. if _, ok := edbInfoMap[int64(edbInfo.EdbInfoId)]; ok {
  820. indexType = edbInfoMap[int64(edbInfo.EdbInfoId)].IndexType
  821. }
  822. info := residual_analysis_model.DetailEdbInfoList{
  823. EdbInfoId: edbInfo.EdbInfoId,
  824. EdbInfoType: edbInfo.EdbInfoType,
  825. IndexType: indexType,
  826. SourceName: edbInfo.SourceName,
  827. Source: edbInfo.Source,
  828. EdbCode: edbInfo.EdbCode,
  829. EdbName: edbInfo.EdbName,
  830. EdbNameEn: edbInfo.EdbNameEn,
  831. Unit: edbInfo.Unit,
  832. UnitEn: edbInfo.UnitEn,
  833. Frequency: edbInfo.Frequency,
  834. FrequencyEn: edbInfo.FrequencyEn,
  835. ClassifyId: edbInfo.ClassifyId,
  836. }
  837. edbInfoListResp = append(edbInfoListResp, &info)
  838. if indexType == 3 {
  839. dependentEdbInfo = info
  840. } else if indexType == 4 {
  841. independentEdbInfo = info
  842. }
  843. }
  844. // 补充表格中 映射指标或者残差指标
  845. if mappgingFlag && !residualFlag {
  846. info := residual_analysis_model.DetailEdbInfoList{
  847. IndexType: 2,
  848. EdbName: independentEdbInfo.EdbName + "映射残差/" + dependentEdbInfo.EdbName,
  849. EdbNameEn: dependentEdbInfo.EdbNameEn,
  850. Unit: dependentEdbInfo.Unit,
  851. UnitEn: dependentEdbInfo.UnitEn,
  852. Frequency: dependentEdbInfo.Frequency,
  853. FrequencyEn: dependentEdbInfo.FrequencyEn,
  854. ClassifyId: dependentEdbInfo.ClassifyId,
  855. }
  856. edbInfoListResp = append(edbInfoListResp, &info)
  857. } else if !mappgingFlag && residualFlag {
  858. info := residual_analysis_model.DetailEdbInfoList{
  859. IndexType: 1,
  860. EdbName: dependentEdbInfo.EdbName + "映射" + independentEdbInfo.EdbName,
  861. EdbNameEn: dependentEdbInfo.EdbNameEn,
  862. Unit: dependentEdbInfo.Unit,
  863. UnitEn: dependentEdbInfo.UnitEn,
  864. Frequency: dependentEdbInfo.Frequency,
  865. FrequencyEn: dependentEdbInfo.FrequencyEn,
  866. ClassifyId: dependentEdbInfo.ClassifyId,
  867. }
  868. edbInfoListResp = append(edbInfoListResp, &info)
  869. }
  870. resp := residual_analysis_model.ResidualAnalysisDetailResp{
  871. ConfigInfo: &configInfo,
  872. EdbInfoList: edbInfoListResp,
  873. ResidualType: mapping.ResidualType,
  874. }
  875. return resp, nil
  876. }
  877. func SaveResidualAnalysisConfig(req residual_analysis_model.ResidualAnalysisReq, sysUser *system.Admin) (int64, error) {
  878. config := residual_analysis_model.ResidualAnalysisConfigVo{
  879. DateType: req.DateType,
  880. StartDate: req.StartDate,
  881. EndDate: req.EndDate,
  882. IsOrder: req.IsOrder,
  883. IndexType: req.IndexType,
  884. LeadValue: req.LeadValue,
  885. LeadFrequency: req.LeadFrequency,
  886. LeftIndexMin: req.LeftIndexMin,
  887. LeftIndexMax: req.LeftIndexMax,
  888. RightIndexMin: req.RightIndexMin,
  889. RightIndexMax: req.RightIndexMax,
  890. ResidualIndexMin: req.ResidualIndexMin,
  891. ResidualIndexMax: req.ResidualIndexMax,
  892. ContrastIndexMin: req.ContrastIndexMin,
  893. ContrastIndexMax: req.ContrastIndexMax,
  894. }
  895. // 转换为json格式
  896. configJson, err := json.Marshal(config)
  897. if err != nil {
  898. return 0, err
  899. }
  900. // 新增or更新
  901. /*
  902. var condition string
  903. var pars []interface{}
  904. if req.EdbInfoId > 0 {
  905. condition += " and edb_info_id=?"
  906. pars = append(pars, req.EdbInfoId)
  907. configMappings, err := residual_analysis_model.GetConfigMappingListByCondition(condition, pars)
  908. if err != nil {
  909. return 0, err
  910. }
  911. if len(configMappings) > 0 {
  912. mapping := configMappings[0]
  913. configInfo, err := residual_analysis_model.GetResidualAnalysisConfigById(mapping.CalculateResidualAnalysisConfigId)
  914. if err != nil {
  915. return 0, err
  916. }
  917. configInfo.Config = string(configJson)
  918. err = residual_analysis_model.UpdateResidualAnalysisConfig(configInfo)
  919. if err != nil {
  920. return 0, err
  921. }
  922. }
  923. }*/
  924. var configId int64
  925. if req.ConfigId > 0 {
  926. configInfo, err := residual_analysis_model.GetResidualAnalysisConfigById(req.ConfigId)
  927. if err != nil {
  928. return 0, err
  929. }
  930. if configInfo.CalculateResidualAnalysisConfigId == 0 {
  931. return 0, fmt.Errorf("未找到配置信息")
  932. }
  933. configId = int64(configInfo.CalculateResidualAnalysisConfigId)
  934. configInfo.Config = string(configJson)
  935. err = residual_analysis_model.UpdateResidualAnalysisConfig(configInfo)
  936. if err != nil {
  937. return 0, err
  938. }
  939. } else {
  940. analysisConfig := residual_analysis_model.CalculateResidualAnalysisConfig{
  941. Config: string(configJson),
  942. SysUserId: sysUser.AdminId,
  943. CreateTime: time.Now(),
  944. ModifyTime: time.Now(),
  945. }
  946. configId, err = residual_analysis_model.SaveResidualAnalysisConfig(analysisConfig)
  947. if err != nil {
  948. return 0, err
  949. }
  950. }
  951. return configId, nil
  952. }
  953. func CheckResidualAnalysisExist(configId int) (int64, error) {
  954. configMappingList, err := residual_analysis_model.GetConfigMappingListByConfigId(configId)
  955. if err != nil {
  956. return 0, err
  957. }
  958. var configMapping residual_analysis_model.CalculateResidualAnalysisConfigMapping
  959. for _, mapping := range configMappingList {
  960. if mapping.IndexType == 2 {
  961. configMapping = mapping
  962. }
  963. }
  964. return configMapping.EdbInfoId, nil
  965. }