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