chart_info.go 68 KB

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  1. package range_analysis
  2. import (
  3. "encoding/json"
  4. "errors"
  5. "eta/eta_api/models/data_manage"
  6. "eta/eta_api/models/system"
  7. "eta/eta_api/services/alarm_msg"
  8. "eta/eta_api/services/data"
  9. "eta/eta_api/utils"
  10. "fmt"
  11. "github.com/shopspring/decimal"
  12. "math"
  13. "sort"
  14. "strconv"
  15. "strings"
  16. "time"
  17. )
  18. // GetAutoCalculateDateDataList 获取当前时间相关的区间作为计算依据
  19. func GetAutoCalculateDateDataList(currentDate string, dataList []*data_manage.EdbDataList, req *data_manage.ChartRangeAnalysisExtraConf) (newDataList []*data_manage.EdbDataList, err error) {
  20. currentDateTime, _ := time.ParseInLocation(utils.FormatDate, currentDate, time.Local)
  21. switch req.DateRangeType {
  22. case 0:
  23. // 智能划分得到一个开始日期,和结束日期
  24. var startDateTime time.Time
  25. if req.AutoDateConf.IsAutoStartDate == 0 { //固定设置
  26. startDate := req.AutoDateConf.StartDate
  27. if startDate == "" {
  28. startDate = "2020-01-01"
  29. }
  30. startDateTime, _ = time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  31. } else {
  32. startConf := req.AutoDateConf.StartDateConf
  33. startDate := ""
  34. if startConf.BaseDateType == 0 { //
  35. startDate = currentDate
  36. } else if startConf.BaseDateType == 1 {
  37. startDate = time.Now().Format(utils.FormatDate)
  38. }
  39. if startConf.MoveForward > 0 {
  40. startDate = GetEdbDateByMoveForward(startDate, startConf.MoveForward, dataList)
  41. }
  42. if len(startConf.DateChange) > 0 {
  43. startDate, err = HandleEdbDateChange(startDate, startConf.DateChange)
  44. if err != nil {
  45. err = fmt.Errorf("智能划分开始日期处理失败:%s", err.Error())
  46. return
  47. }
  48. }
  49. startDateTime, _ = time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  50. }
  51. var calStartTime, calEndTime time.Time
  52. if currentDateTime.Before(startDateTime) {
  53. calStartTime = currentDateTime
  54. calEndTime = startDateTime
  55. } else {
  56. calStartTime = startDateTime
  57. calEndTime = currentDateTime
  58. }
  59. // 根据日期,获取数据
  60. for _, vv := range dataList {
  61. dataTimeT, _ := time.ParseInLocation(utils.FormatDate, vv.DataTime, time.Local)
  62. if (dataTimeT.After(calStartTime) && dataTimeT.Before(calEndTime)) ||
  63. dataTimeT.Equal(calStartTime) ||
  64. dataTimeT.Equal(calEndTime) {
  65. newDataList = append(newDataList, vv)
  66. }
  67. }
  68. }
  69. return
  70. }
  71. // HandleDataByCalculateType 根据计算公式处理数据
  72. func HandleDataByCalculateType(originList []*data_manage.ChartRangeAnalysisDateDataItem, originDataList []*data_manage.EdbDataList, req *data_manage.ChartRangeAnalysisExtraConf) (newList []*data_manage.EdbDataList, err error) {
  73. if len(originList) == 0 {
  74. return
  75. }
  76. calculateType := req.CalculateType
  77. switch calculateType {
  78. case 0: //均值
  79. var sum float64
  80. if req.DateRangeType == 0 && req.AutoDateConf.IsAutoStartDate > 0 {
  81. for _, item := range originList {
  82. for _, v := range item.DataList {
  83. sum = 0
  84. //计算的数据返回需要重新确定
  85. calDataList, e := GetAutoCalculateDateDataList(v.DataTime, originDataList, req)
  86. if e != nil {
  87. err = fmt.Errorf("获取区间数据失败:%s", e.Error())
  88. return
  89. }
  90. for _, vv := range calDataList {
  91. sum += vv.Value
  92. }
  93. val := sum / float64(len(calDataList))
  94. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  95. newList = append(newList, &data_manage.EdbDataList{
  96. DataTime: v.DataTime,
  97. Value: val,
  98. DataTimestamp: v.DataTimestamp,
  99. })
  100. }
  101. }
  102. } else {
  103. for _, item := range originList {
  104. sum = 0
  105. for k, v := range item.DataList {
  106. sum += v.Value
  107. val := sum / float64(k+1)
  108. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  109. newList = append(newList, &data_manage.EdbDataList{
  110. DataTime: v.DataTime,
  111. Value: val,
  112. DataTimestamp: v.DataTimestamp,
  113. })
  114. }
  115. }
  116. }
  117. case 1: //累计值
  118. var sum float64
  119. if req.DateRangeType == 0 && req.AutoDateConf.IsAutoStartDate > 0 {
  120. for _, item := range originList {
  121. sum = 0
  122. for _, v := range item.DataList {
  123. sum = 0
  124. //计算的数据返回需要重新确定
  125. calDataList, e := GetAutoCalculateDateDataList(v.DataTime, originDataList, req)
  126. if e != nil {
  127. err = fmt.Errorf("获取区间数据失败:%s", e.Error())
  128. return
  129. }
  130. for _, vv := range calDataList {
  131. sum += vv.Value
  132. }
  133. val := sum
  134. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  135. newList = append(newList, &data_manage.EdbDataList{
  136. DataTime: v.DataTime,
  137. Value: val,
  138. DataTimestamp: v.DataTimestamp,
  139. })
  140. }
  141. }
  142. } else {
  143. for _, item := range originList {
  144. sum = 0
  145. for _, v := range item.DataList {
  146. sum += v.Value
  147. val := sum
  148. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  149. newList = append(newList, &data_manage.EdbDataList{
  150. DataTime: v.DataTime,
  151. Value: val,
  152. DataTimestamp: v.DataTimestamp,
  153. })
  154. }
  155. }
  156. }
  157. case 2: //涨幅
  158. if req.DateRangeType == 0 && req.AutoDateConf.IsAutoStartDate > 0 {
  159. for _, item := range originList {
  160. for _, v := range item.DataList {
  161. var baseVal float64
  162. //计算的数据返回需要重新确定
  163. calDataList, e := GetAutoCalculateDateDataList(v.DataTime, originDataList, req)
  164. if e != nil {
  165. err = fmt.Errorf("获取区间数据失败:%s", e.Error())
  166. return
  167. }
  168. if len(calDataList) == 0 {
  169. continue
  170. }
  171. baseVal = calDataList[0].Value
  172. baseDate := calDataList[0].DataTime
  173. if baseVal == 0 {
  174. continue
  175. }
  176. if v.DataTime == baseDate {
  177. continue
  178. }
  179. val := (v.Value - baseVal) / baseVal
  180. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  181. newList = append(newList, &data_manage.EdbDataList{
  182. DataTime: v.DataTime,
  183. Value: val,
  184. DataTimestamp: v.DataTimestamp,
  185. })
  186. }
  187. }
  188. } else {
  189. for _, item := range originList {
  190. if len(item.DataList) == 0 {
  191. break
  192. }
  193. baseVal := item.DataList[0].Value
  194. baseDate := item.DataList[0].DataTime
  195. if baseVal == 0 {
  196. break
  197. }
  198. for _, v := range item.DataList {
  199. if v.DataTime == baseDate {
  200. continue
  201. }
  202. val := (v.Value - baseVal) / baseVal
  203. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  204. newList = append(newList, &data_manage.EdbDataList{
  205. DataTime: v.DataTime,
  206. Value: val,
  207. DataTimestamp: v.DataTimestamp,
  208. })
  209. }
  210. }
  211. }
  212. case 3: //复合增长率
  213. if req.DateRangeType == 0 && req.AutoDateConf.IsAutoStartDate > 0 {
  214. for _, item := range originList {
  215. for _, v := range item.DataList {
  216. var baseVal float64
  217. var baseDate string
  218. calDataList, e := GetAutoCalculateDateDataList(v.DataTime, originDataList, req)
  219. if e != nil {
  220. err = fmt.Errorf("获取区间数据失败:%s", e.Error())
  221. return
  222. }
  223. if len(calDataList) == 0 {
  224. continue
  225. }
  226. baseVal = calDataList[0].Value
  227. baseDate = calDataList[0].DataTime
  228. if v.DataTime == baseDate {
  229. continue
  230. }
  231. if baseVal == 0 {
  232. continue
  233. }
  234. baseDateT, e := time.ParseInLocation(utils.FormatDate, baseDate, time.Local)
  235. if e != nil {
  236. err = fmt.Errorf("time.ParseInLocation err: %v", e)
  237. return
  238. }
  239. tmpT, e := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
  240. if e != nil {
  241. err = fmt.Errorf("time.ParseInLocation err: %v", e)
  242. return
  243. }
  244. // 计算两个日期相差的天数
  245. diff := tmpT.Sub(baseDateT).Hours() / 24 / 365
  246. val := v.Value / baseVal
  247. val = math.Pow(val, 1/diff) - 1
  248. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  249. newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
  250. }
  251. }
  252. } else {
  253. for _, item := range originList {
  254. if len(item.DataList) == 0 {
  255. break
  256. }
  257. baseVal := item.DataList[0].Value
  258. baseDate := item.DataList[0].DataTime
  259. if baseVal == 0 {
  260. break
  261. }
  262. for _, v := range item.DataList {
  263. if v.DataTime == baseDate {
  264. continue
  265. }
  266. baseDateT, e := time.ParseInLocation(utils.FormatDate, baseDate, time.Local)
  267. if e != nil {
  268. err = fmt.Errorf("time.ParseInLocation err: %v", e)
  269. return
  270. }
  271. tmpT, e := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
  272. if e != nil {
  273. err = fmt.Errorf("time.ParseInLocation err: %v", e)
  274. return
  275. }
  276. // 计算两个日期相差的天数
  277. diff := tmpT.Sub(baseDateT).Hours() / 24 / 365
  278. val := v.Value / baseVal
  279. val = math.Pow(val, 1/diff) - 1
  280. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  281. newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
  282. }
  283. }
  284. }
  285. case 4: //最大值
  286. var maxVal float64
  287. if req.DateRangeType == 0 && req.AutoDateConf.IsAutoStartDate > 0 {
  288. for _, item := range originList {
  289. for _, v := range item.DataList {
  290. calDataList, e := GetAutoCalculateDateDataList(v.DataTime, originDataList, req)
  291. if e != nil {
  292. err = fmt.Errorf("获取区间数据失败:%s", e.Error())
  293. return
  294. }
  295. for kk, vv := range calDataList {
  296. if kk == 0 {
  297. maxVal = vv.Value
  298. }
  299. if vv.Value > maxVal {
  300. maxVal = vv.Value
  301. }
  302. }
  303. val := maxVal
  304. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  305. newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
  306. }
  307. }
  308. } else {
  309. for _, item := range originList {
  310. for k, v := range item.DataList {
  311. if k == 0 {
  312. maxVal = v.Value
  313. }
  314. if v.Value > maxVal {
  315. maxVal = v.Value
  316. }
  317. val := maxVal
  318. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  319. newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
  320. }
  321. }
  322. }
  323. case 5: //最小值
  324. var minVal float64
  325. if req.DateRangeType == 0 && req.AutoDateConf.IsAutoStartDate > 0 {
  326. for _, item := range originList {
  327. for _, v := range item.DataList {
  328. calDataList, e := GetAutoCalculateDateDataList(v.DataTime, originDataList, req)
  329. if e != nil {
  330. err = fmt.Errorf("获取区间数据失败:%s", e.Error())
  331. return
  332. }
  333. for kk, vv := range calDataList {
  334. if kk == 0 {
  335. minVal = vv.Value
  336. }
  337. if vv.Value < minVal {
  338. minVal = vv.Value
  339. }
  340. }
  341. val := minVal
  342. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  343. newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
  344. }
  345. }
  346. } else {
  347. for _, item := range originList {
  348. for k, v := range item.DataList {
  349. if k == 0 {
  350. minVal = v.Value
  351. }
  352. if v.Value < minVal {
  353. minVal = v.Value
  354. }
  355. val := minVal
  356. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  357. newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
  358. }
  359. }
  360. }
  361. }
  362. return
  363. }
  364. // GetChartEdbInfoFormat 区间计算图表-获取指标信息
  365. func GetChartEdbInfoFormat(chartInfoId int, edbInfoMappingList []*data_manage.ChartEdbInfoMapping) (edbList []*data_manage.ChartEdbInfoMapping, err error) {
  366. edbList = make([]*data_manage.ChartEdbInfoMapping, 0)
  367. for _, edbInfoMapping := range edbInfoMappingList {
  368. if edbInfoMapping == nil {
  369. err = fmt.Errorf("指标信息有误")
  370. return
  371. }
  372. edbInfoMapping.FrequencyEn = data.GetFrequencyEn(edbInfoMapping.Frequency)
  373. if edbInfoMapping.Unit == `无` {
  374. edbInfoMapping.Unit = ``
  375. }
  376. if chartInfoId <= 0 {
  377. edbInfoMapping.IsAxis = 1
  378. edbInfoMapping.LeadValue = 0
  379. edbInfoMapping.LeadUnit = ""
  380. edbInfoMapping.ChartEdbMappingId = 0
  381. edbInfoMapping.ChartInfoId = 0
  382. edbInfoMapping.IsOrder = false
  383. edbInfoMapping.EdbInfoType = 1
  384. edbInfoMapping.ChartStyle = ""
  385. edbInfoMapping.ChartColor = ""
  386. edbInfoMapping.ChartWidth = 0
  387. } else {
  388. edbInfoMapping.LeadUnitEn = data.GetLeadUnitEn(edbInfoMapping.LeadUnit)
  389. }
  390. edbList = append(edbList, edbInfoMapping)
  391. }
  392. return
  393. }
  394. // GetChartDataByEdbInfoList 区间计算图表-根据指标信息获取x轴和y轴
  395. func GetChartDataByEdbInfoList(chartInfoId int, dateType, startYear int, startDate, endDate string, edbInfoMappingList []*data_manage.ChartEdbInfoMapping, req *data_manage.ChartRangeAnalysisExtraConf) (edbList []*data_manage.ChartEdbInfoMapping, xEdbIdValue []int, dataResp data_manage.ChartRangeAnalysisDataResp, err error) {
  396. if chartInfoId > 0 && req.EdbInfoMode == 1 {
  397. edbList, xEdbIdValue, dataResp, err = GetChartDataByEdbInfoListBySeries(chartInfoId, dateType, startYear, startDate, endDate, edbInfoMappingList, req)
  398. return
  399. }
  400. for _, edbInfoMapping := range edbInfoMappingList {
  401. edbInfoMapping, err = getChartDataByEdbInfo(edbInfoMapping, req)
  402. if err != nil {
  403. return
  404. }
  405. edbInfoMapping.ConvertUnit = edbInfoMapping.Unit
  406. edbInfoMapping.ConvertEnUnit = edbInfoMapping.UnitEn
  407. if req.CalculateType == 2 || req.CalculateType == 3 {
  408. edbInfoMapping.ConvertUnit = "无"
  409. edbInfoMapping.ConvertEnUnit = "无"
  410. }
  411. if req.DataConvertType > 0 && req.DataConvertConf.Unit != "" {
  412. edbInfoMapping.ConvertUnit = req.DataConvertConf.Unit
  413. edbInfoMapping.ConvertEnUnit = req.DataConvertConf.Unit
  414. }
  415. dataList := edbInfoMapping.DataList.([]*data_manage.EdbDataList)
  416. // 处理上下限
  417. var maxData, minData float64
  418. if len(dataList) > 0 {
  419. maxData = dataList[0].Value
  420. minData = dataList[0].Value
  421. for _, v := range dataList {
  422. if v.Value > maxData {
  423. maxData = v.Value
  424. }
  425. if v.Value < minData {
  426. minData = v.Value
  427. }
  428. }
  429. }
  430. edbInfoMapping.MaxData = maxData
  431. edbInfoMapping.MinData = minData
  432. xEdbIdValue = append(xEdbIdValue, edbInfoMapping.EdbInfoId)
  433. }
  434. //根据时间类型来筛选最终的数据
  435. yearMax := 0
  436. if dateType == utils.DateTypeNYears {
  437. for _, v := range edbInfoMappingList {
  438. dataList := v.DataList.([]*data_manage.EdbDataList)
  439. if len(dataList) > 0 {
  440. latestDate := dataList[0].DataTime
  441. if latestDate != "" {
  442. lastDateT, tErr := time.Parse(utils.FormatDate, latestDate)
  443. if tErr != nil {
  444. err = fmt.Errorf("获取图表日期信息失败,Err:" + tErr.Error())
  445. return
  446. }
  447. if lastDateT.Year() > yearMax {
  448. yearMax = lastDateT.Year()
  449. }
  450. }
  451. }
  452. }
  453. }
  454. startDate, endDate = utils.GetDateByDateTypeV2(dateType, startDate, endDate, startYear, yearMax)
  455. if startDate != "" {
  456. for k, v := range edbInfoMappingList {
  457. var maxData, minData float64
  458. dataList := v.DataList.([]*data_manage.EdbDataList)
  459. newDataList := make([]*data_manage.EdbDataList, 0)
  460. if len(dataList) == 0 {
  461. newDataList = dataList
  462. } else {
  463. firstFlag := true
  464. for _, d := range dataList {
  465. if endDate != "" && d.DataTime > endDate {
  466. continue
  467. }
  468. if d.DataTime < startDate {
  469. continue
  470. }
  471. newDataList = append(newDataList, d)
  472. if firstFlag {
  473. maxData = d.Value
  474. minData = d.Value
  475. firstFlag = false
  476. } else {
  477. if d.Value > maxData {
  478. maxData = d.Value
  479. }
  480. if d.Value < minData {
  481. minData = d.Value
  482. }
  483. }
  484. }
  485. }
  486. edbInfoMappingList[k].DataList = newDataList
  487. edbInfoMappingList[k].MinData = minData
  488. edbInfoMappingList[k].MaxData = maxData
  489. }
  490. }
  491. dataResp = data_manage.ChartRangeAnalysisDataResp{ChartRangeAnalysisExtraConf: req}
  492. if req.MultipleGraphConfigId > 0 {
  493. multipleGraphConfigEdbMappingList, e := data_manage.GetMultipleGraphConfigEdbMappingListByIdAndSource(req.MultipleGraphConfigId, utils.CHART_SOURCE_RANGE_ANALYSIS)
  494. if e != nil && e.Error() != utils.ErrNoRow() {
  495. err = fmt.Errorf("获取区间计算图表, 指标信息失败, Err:" + e.Error())
  496. return
  497. }
  498. // 查询是否已经生成指标
  499. dataResp.ConfigEdbNum = len(multipleGraphConfigEdbMappingList)
  500. }
  501. edbList, err = GetChartEdbInfoFormat(chartInfoId, edbInfoMappingList)
  502. if err != nil {
  503. err = fmt.Errorf("获取区间计算图表, 完善指标信息失败, Err:" + err.Error())
  504. return
  505. }
  506. return
  507. }
  508. func GetChartDataByEdbInfoListBySeries(chartInfoId int, dateType, startYear int, startDate, endDate string, edbInfoMappingList []*data_manage.ChartEdbInfoMapping, req *data_manage.ChartRangeAnalysisExtraConf) (edbList []*data_manage.ChartEdbInfoMapping, xEdbIdValue []int, dataResp data_manage.ChartRangeAnalysisDataResp, err error) {
  509. //查询seriesId
  510. chartSeriesOb := new(data_manage.FactorEdbSeriesChartMapping)
  511. seriesMappingItem, err := chartSeriesOb.GetItemByChartInfoId(chartInfoId)
  512. if err != nil {
  513. if err.Error() == utils.ErrNoRow() {
  514. err = fmt.Errorf("图表关联关系不存在")
  515. return
  516. } else {
  517. err = fmt.Errorf("获取图表关联失败, Err: " + err.Error())
  518. return
  519. }
  520. }
  521. //根据seriesId查询数据
  522. //并把数据放到dataList中
  523. for _, edbInfoMapping := range edbInfoMappingList {
  524. dataOb := new(data_manage.FactorEdbSeriesCalculateDataQjjs)
  525. dataList, e := dataOb.GetEdbDataList(seriesMappingItem.FactorEdbSeriesId, edbInfoMapping.EdbInfoId, startDate, endDate)
  526. if e != nil {
  527. err = e
  528. return
  529. }
  530. edbInfoMapping.ConvertUnit = edbInfoMapping.Unit
  531. edbInfoMapping.ConvertEnUnit = edbInfoMapping.UnitEn
  532. if req.CalculateType == 2 || req.CalculateType == 3 {
  533. edbInfoMapping.ConvertUnit = "无"
  534. edbInfoMapping.ConvertEnUnit = "无"
  535. }
  536. if req.DataConvertType > 0 && req.DataConvertConf.Unit != "" {
  537. edbInfoMapping.ConvertUnit = req.DataConvertConf.Unit
  538. edbInfoMapping.ConvertEnUnit = req.DataConvertConf.Unit
  539. }
  540. edbInfoMapping.DataList = dataList
  541. // 处理上下限
  542. var maxData, minData float64
  543. if len(dataList) > 0 {
  544. maxData = dataList[0].Value
  545. minData = dataList[0].Value
  546. for _, v := range dataList {
  547. if v.Value > maxData {
  548. maxData = v.Value
  549. }
  550. if v.Value < minData {
  551. minData = v.Value
  552. }
  553. }
  554. }
  555. edbInfoMapping.MaxData = maxData
  556. edbInfoMapping.MinData = minData
  557. xEdbIdValue = append(xEdbIdValue, edbInfoMapping.EdbInfoId)
  558. }
  559. yearMax := 0
  560. if dateType == utils.DateTypeNYears {
  561. for _, v := range edbInfoMappingList {
  562. dataList := v.DataList.([]*data_manage.EdbDataList)
  563. latestDate := dataList[0].DataTime
  564. if latestDate != "" {
  565. lastDateT, tErr := time.Parse(utils.FormatDate, latestDate)
  566. if tErr != nil {
  567. err = fmt.Errorf("获取图表日期信息失败,Err:" + tErr.Error())
  568. return
  569. }
  570. if lastDateT.Year() > yearMax {
  571. yearMax = lastDateT.Year()
  572. }
  573. }
  574. }
  575. }
  576. startDate, endDate = utils.GetDateByDateTypeV2(dateType, startDate, endDate, startYear, yearMax)
  577. if startDate != "" {
  578. for k, v := range edbInfoMappingList {
  579. var maxData, minData float64
  580. dataList := v.DataList.([]*data_manage.EdbDataList)
  581. newDataList := make([]*data_manage.EdbDataList, 0)
  582. if len(dataList) == 0 {
  583. newDataList = dataList
  584. } else {
  585. firstFlag := true
  586. for _, d := range dataList {
  587. if endDate != "" && d.DataTime > endDate {
  588. continue
  589. }
  590. if d.DataTime < startDate {
  591. continue
  592. }
  593. newDataList = append(newDataList, d)
  594. if firstFlag {
  595. maxData = d.Value
  596. minData = d.Value
  597. firstFlag = false
  598. } else {
  599. if d.Value > maxData {
  600. maxData = d.Value
  601. }
  602. if d.Value < minData {
  603. minData = d.Value
  604. }
  605. }
  606. }
  607. }
  608. edbInfoMappingList[k].DataList = newDataList
  609. edbInfoMappingList[k].MinData = minData
  610. edbInfoMappingList[k].MaxData = maxData
  611. }
  612. }
  613. dataResp = data_manage.ChartRangeAnalysisDataResp{ChartRangeAnalysisExtraConf: req, SeriesId: seriesMappingItem.FactorEdbSeriesId}
  614. // 查询配置关联关系
  615. if req.MultipleGraphConfigId > 0 {
  616. multipleGraphConfigEdbMappingList, e := data_manage.GetMultipleGraphConfigEdbMappingListByIdAndSource(req.MultipleGraphConfigId, utils.CHART_SOURCE_RANGE_ANALYSIS)
  617. if e != nil && e.Error() != utils.ErrNoRow() {
  618. err = fmt.Errorf("获取区间计算图表, 指标信息失败, Err:" + e.Error())
  619. return
  620. }
  621. // 查询是否已经生成指标
  622. dataResp.ConfigEdbNum = len(multipleGraphConfigEdbMappingList)
  623. }
  624. edbList, err = GetChartEdbInfoFormat(chartInfoId, edbInfoMappingList)
  625. if err != nil {
  626. err = fmt.Errorf("获取区间计算图表, 完善指标信息失败, Err:" + err.Error())
  627. return
  628. }
  629. return
  630. }
  631. // getChartDataByEdbInfo 区间计算图表-根据指标信息获取x轴和y轴
  632. func getChartDataByEdbInfo(edbInfoMapping *data_manage.ChartEdbInfoMapping, req *data_manage.ChartRangeAnalysisExtraConf) (newEdbInfoMapping *data_manage.ChartEdbInfoMapping, err error) {
  633. newEdbInfoMapping = edbInfoMapping
  634. // 指标的开始日期和结束日期
  635. edbStartDateTime, _ := time.ParseInLocation(utils.FormatDate, edbInfoMapping.StartDate, time.Local)
  636. //edbStartDate := edbStartDateTime.AddDate(0, 0, 1).Format(utils.FormatDate)
  637. edbEndDateTime, _ := time.ParseInLocation(utils.FormatDate, edbInfoMapping.EndDate, time.Local)
  638. edbEndDate := edbEndDateTime.AddDate(0, 0, 1).Format(utils.FormatDate)
  639. // 获取时间基准指标在时间区间内的值
  640. dataList := make([]*data_manage.EdbDataList, 0)
  641. switch edbInfoMapping.EdbInfoCategoryType {
  642. case 0:
  643. dataList, err = data_manage.GetEdbDataList(edbInfoMapping.Source, edbInfoMapping.SubSource, edbInfoMapping.EdbInfoId, "", "")
  644. case 1:
  645. _, dataList, _, _, err, _ = data.GetPredictDataListByPredictEdbInfoId(edbInfoMapping.EdbInfoId, "", "", false)
  646. default:
  647. err = errors.New("指标base类型异常")
  648. return
  649. }
  650. /*var dataList data_manage.SortEdbDataList
  651. dataList = dataListTmp
  652. ascDataList := dataListTmp
  653. sort.Sort(dataList)*/
  654. dateList := make([]*data_manage.ChartRangeAnalysisDateDataItem, 0)
  655. switch req.DateRangeType {
  656. case 0:
  657. // 智能划分得到一个开始日期,和结束日期
  658. var startDateTime, endDateTime time.Time
  659. startDateTime = edbStartDateTime
  660. if req.AutoDateConf.IsAutoStartDate == 0 { //固定设置
  661. startDate := req.AutoDateConf.StartDate
  662. if startDate == "" {
  663. startDate = "2020-01-01"
  664. }
  665. startDateTime, _ = time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  666. } /*else {
  667. startConf := req.AutoDateConf.StartDateConf
  668. startDate := ""
  669. if startConf.BaseDateType == 0 { //
  670. startDate = edbEndDate
  671. } else if startConf.BaseDateType == 1 {
  672. startDate = time.Now().Format(utils.FormatDate)
  673. }
  674. if startConf.MoveForward > 0 {
  675. startDate = GetEdbDateByMoveForward(startConf.MoveForward, dataList)
  676. }
  677. if len(startConf.DateChange) > 0 {
  678. startDate, err = HandleEdbDateChange(startDate, startConf.DateChange)
  679. if err != nil {
  680. err = fmt.Errorf("智能划分开始日期处理失败:%s", err.Error())
  681. return
  682. }
  683. }
  684. startDateTime, _ = time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  685. }*/
  686. if req.AutoDateConf.IsAutoEndDate == 0 { //固定设置
  687. endDate := req.AutoDateConf.EndDate
  688. if endDate == "" {
  689. err = fmt.Errorf("智能划分截止日期处理失败:请输入截止日期")
  690. return
  691. }
  692. // todo 如果截止日期比指标日期还要大,则用指标的最新日期
  693. endDateTime, _ = time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  694. } else {
  695. endConf := req.AutoDateConf.EndDateConf
  696. endDate := edbEndDate
  697. if endConf.MoveForward > 0 {
  698. endDate = GetEdbDateByMoveForward(endDate, endConf.MoveForward, dataList)
  699. }
  700. if len(endConf.DateChange) > 0 {
  701. endDate, err = HandleEdbDateChange(endDate, endConf.DateChange)
  702. if err != nil {
  703. err = fmt.Errorf("智能划分结束日期处理失败:%s", err.Error())
  704. return
  705. }
  706. }
  707. endDateTime, _ = time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  708. }
  709. dateList = append(dateList, &data_manage.ChartRangeAnalysisDateDataItem{
  710. StartDate: startDateTime,
  711. EndDate: endDateTime})
  712. case 1:
  713. // 手工划分得到多个开始日期和结束日期(已排序)
  714. for _, v := range req.ManualDateConf {
  715. startDateT, _ := time.ParseInLocation(utils.FormatDate, v.StartDate, time.Local)
  716. endDateT, _ := time.ParseInLocation(utils.FormatDate, v.EndDate, time.Local)
  717. tmp := &data_manage.ChartRangeAnalysisDateDataItem{
  718. StartDate: startDateT,
  719. EndDate: endDateT,
  720. }
  721. dateList = append(dateList, tmp)
  722. }
  723. case 2:
  724. // 跨年划分得到多个开始日期和结束日期
  725. startYear := edbStartDateTime.Year()
  726. endYear := edbEndDateTime.Year()
  727. startDay := req.YearDateConf.StartDay
  728. endDay := req.YearDateConf.EndDay
  729. for year := startYear; year <= endYear; year++ {
  730. startDate := fmt.Sprintf("%d-%s", year, startDay)
  731. endDate := fmt.Sprintf("%d-%s", year+1, endDay)
  732. startDateTime, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  733. endDateTime, _ := time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  734. if startDateTime.Before(edbStartDateTime) {
  735. break
  736. }
  737. tmp := &data_manage.ChartRangeAnalysisDateDataItem{
  738. StartDate: startDateTime,
  739. EndDate: endDateTime,
  740. }
  741. dateList = append(dateList, tmp)
  742. }
  743. }
  744. // 根据日期,获取数据
  745. for _, v := range dateList {
  746. for _, vv := range dataList {
  747. dataTimeT, _ := time.ParseInLocation(utils.FormatDate, vv.DataTime, time.Local)
  748. if dataTimeT.After(v.StartDate) && dataTimeT.Before(v.EndDate) ||
  749. dataTimeT.Equal(v.StartDate) ||
  750. dataTimeT.Equal(v.EndDate) {
  751. v.DataList = append(v.DataList, vv)
  752. }
  753. }
  754. }
  755. // 根据时间区间类型来获取数据的计算窗口,然后再拼接成整段数据
  756. newDataList, err := HandleDataByCalculateType(dateList, dataList, req)
  757. if err != nil {
  758. return
  759. }
  760. if req.UnNormalDataDealType > 0 {
  761. switch req.UnNormalDataDealType { //0:不处理,1:剔除,2替换
  762. case 1:
  763. dealDataList := make([]*data_manage.EdbDataList, 0)
  764. for _, v := range newDataList {
  765. if !utils.CompareFloatByOpStrings(req.UnNormalDataConf.Formula, v.Value, req.UnNormalDataConf.Value) {
  766. dealDataList = append(dealDataList, v)
  767. }
  768. }
  769. case 2:
  770. for i, v := range newDataList {
  771. if utils.CompareFloatByOpStrings(req.UnNormalDataConf.Formula, v.Value, req.UnNormalDataConf.Value) {
  772. newDataList[i].Value = req.UnNormalDataConf.ReplaceValue
  773. }
  774. }
  775. }
  776. }
  777. if req.DataConvertType > 0 {
  778. // 数据转换类型 0不转, 1乘 2除 3对数
  779. switch req.DataConvertType {
  780. case 1:
  781. for i, v := range newDataList {
  782. val := v.Value * req.DataConvertConf.Value
  783. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  784. newDataList[i].Value = val
  785. }
  786. //item.MaxData = item.MaxData * v.ConvertValue
  787. //item.MinData = item.MinData * v.ConvertValue
  788. case 2:
  789. for i, v := range newDataList {
  790. val := v.Value / req.DataConvertConf.Value
  791. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  792. newDataList[i].Value = val
  793. }
  794. //item.MaxData = item.MaxData / v.ConvertValue
  795. //item.MinData = item.MinData / v.ConvertValue
  796. case 3:
  797. for i, v := range newDataList {
  798. if v.Value <= 0 {
  799. err = errors.New("数据中含有负数或0,无法对数运算")
  800. return
  801. }
  802. val := math.Log(v.Value) / math.Log(req.DataConvertConf.Value)
  803. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  804. newDataList[i].Value = val
  805. }
  806. //item.MaxData = math.Log(item.MaxData) / math.Log(v.ConvertValue)
  807. //item.MinData = math.Log(item.MinData) / math.Log(v.ConvertValue)
  808. }
  809. }
  810. newEdbInfoMapping.DataList = newDataList
  811. //时间处理
  812. return
  813. }
  814. // RollingCorrelationChartDataResp 滚动区间计算图表数据
  815. type RollingCorrelationChartDataResp struct {
  816. MaxData float64
  817. MinData float64
  818. LatestDate string `description:"真实数据的最后日期"`
  819. EdbInfoCategoryType int
  820. ChartColor string
  821. ChartStyle string
  822. PredictChartColor string
  823. ChartType int
  824. ChartWidth int
  825. EdbName string
  826. EdbNameEn string
  827. Unit string
  828. UnitEn string
  829. IsAxis int
  830. DataList []data_manage.EdbDataList
  831. }
  832. // ChartInfoRefresh 图表刷新
  833. func ChartInfoRefresh(chartInfoId int, uniqueCode string) (isAsync bool, err error) {
  834. var errMsg string
  835. defer func() {
  836. if err != nil {
  837. tips := fmt.Sprintf("CorrelationChartInfoRefresh: %s", errMsg)
  838. utils.FileLog.Info(tips)
  839. go alarm_msg.SendAlarmMsg(tips, 3)
  840. }
  841. }()
  842. var chartInfo *data_manage.ChartInfo
  843. if chartInfoId > 0 {
  844. chartInfo, err = data_manage.GetChartInfoById(chartInfoId)
  845. if err != nil {
  846. if err.Error() == utils.ErrNoRow() {
  847. errMsg = "图表已被删除,请刷新页面"
  848. err = errors.New(errMsg)
  849. return
  850. }
  851. errMsg = "获取图表信息失败"
  852. err = errors.New("获取图表信息失败,Err:" + err.Error())
  853. return
  854. }
  855. } else {
  856. chartInfo, err = data_manage.GetChartInfoByUniqueCode(uniqueCode)
  857. if err != nil {
  858. if err.Error() == utils.ErrNoRow() {
  859. errMsg = "图表已被删除,请刷新页面"
  860. err = errors.New(errMsg)
  861. return
  862. }
  863. errMsg = "获取图表信息失败"
  864. err = errors.New("获取图表信息失败,Err:" + err.Error())
  865. return
  866. }
  867. }
  868. // 1.刷新图表关联的指标
  869. mappings, e := data_manage.GetChartEdbMappingList(chartInfoId)
  870. if e != nil {
  871. utils.FileLog.Info(fmt.Sprintf("获取图表关联指标失败, err: %v", e))
  872. return
  873. }
  874. if len(mappings) == 0 {
  875. utils.FileLog.Info("图表无关联指标")
  876. return
  877. }
  878. var edbIds []int
  879. for _, v := range mappings {
  880. edbIds = append(edbIds, v.EdbInfoId)
  881. }
  882. if e, _ = data.EdbInfoRefreshAllFromBaseV3(edbIds, false, true, false); e != nil {
  883. utils.FileLog.Info(fmt.Sprintf("批量刷新指标失败, err: %v", e))
  884. return
  885. }
  886. // todo 重新计算
  887. // 区间计算图表配置校验
  888. var extraConfig data_manage.ChartRangeAnalysisExtraConf
  889. err = json.Unmarshal([]byte(chartInfo.ExtraConfig), &extraConfig)
  890. if err != nil {
  891. errMsg = "配置信息错误"
  892. err = errors.New(errMsg + ", Err: " + err.Error())
  893. return
  894. }
  895. chartSeriesOb := new(data_manage.FactorEdbSeriesChartMapping)
  896. seriesMappingItem, err := chartSeriesOb.GetItemByChartInfoId(chartInfo.ChartInfoId)
  897. if err != nil {
  898. if err.Error() == utils.ErrNoRow() {
  899. err = nil
  900. } else {
  901. err = fmt.Errorf("获取图表关联失败, Err: " + err.Error())
  902. return
  903. }
  904. } else {
  905. _, e = FactorEdbStepCalculateRange(seriesMappingItem.FactorEdbSeriesId, edbIds, extraConfig, true)
  906. if e != nil {
  907. err = fmt.Errorf("计算因子指标失败, Err: " + e.Error())
  908. return
  909. }
  910. }
  911. // 4.清除图表缓存
  912. key := utils.HZ_CHART_LIB_DETAIL + uniqueCode
  913. _ = utils.Rc.Delete(key)
  914. return
  915. }
  916. // AddChartInfo 添加图表
  917. func AddChartInfo(req data_manage.AddChartInfoReq, source int, sysUser *system.Admin, lang string) (chartInfo *data_manage.ChartInfo, err error, errMsg string, isSendEmail bool) {
  918. isSendEmail = true
  919. req.ChartName = strings.Trim(req.ChartName, " ")
  920. if req.ChartName == "" {
  921. errMsg = "请填写图表名称!"
  922. err = errors.New(errMsg)
  923. isSendEmail = false
  924. return
  925. }
  926. if req.ChartClassifyId <= 0 {
  927. errMsg = "分类参数错误!"
  928. err = errors.New(errMsg)
  929. isSendEmail = false
  930. return
  931. }
  932. // 区间计算图表配置校验
  933. var extraConfig data_manage.ChartRangeAnalysisExtraConf
  934. if req.ExtraConfig == `` {
  935. errMsg = "配置信息错误"
  936. err = errors.New(errMsg)
  937. return
  938. }
  939. err = json.Unmarshal([]byte(req.ExtraConfig), &extraConfig)
  940. if err != nil {
  941. errMsg = "配置信息错误"
  942. err = errors.New(errMsg + ", Err: " + err.Error())
  943. return
  944. }
  945. if len(req.ChartEdbInfoList) <= 0 {
  946. errMsg = "请选择指标"
  947. err = errors.New(errMsg)
  948. isSendEmail = false
  949. return
  950. }
  951. if len(req.ChartEdbInfoList) > 100 {
  952. errMsg = "添加指标总数量不得超过100"
  953. err = errors.New(errMsg)
  954. isSendEmail = false
  955. return
  956. }
  957. err, errMsg, isSendEmail = CheckChartRangeExtraConfig(extraConfig)
  958. if err != nil {
  959. return
  960. }
  961. chartClassify, err := data_manage.GetChartClassifyById(req.ChartClassifyId)
  962. if err != nil {
  963. if err.Error() == utils.ErrNoRow() {
  964. errMsg = "分类不存在"
  965. err = errors.New(errMsg)
  966. isSendEmail = false
  967. return
  968. }
  969. errMsg = "获取分类信息失败"
  970. err = errors.New("获取分类信息失败,Err:" + err.Error())
  971. return
  972. }
  973. if chartClassify == nil {
  974. errMsg = "分类不存在"
  975. err = errors.New(errMsg)
  976. isSendEmail = false
  977. return
  978. }
  979. var edbInfoIdArr []int
  980. for _, v := range req.ChartEdbInfoList {
  981. edbInfoId := v.EdbInfoId
  982. edbInfo, tmpErr := data_manage.GetEdbInfoById(edbInfoId)
  983. if tmpErr != nil {
  984. if tmpErr.Error() == utils.ErrNoRow() {
  985. errMsg = "指标不存在!"
  986. err = errors.New("指标不存在,edbInfoId:" + strconv.Itoa(edbInfoId))
  987. return
  988. } else {
  989. errMsg = "获取指标信息失败!"
  990. err = errors.New("获取图表的指标信息失败,Err:" + tmpErr.Error())
  991. return
  992. }
  993. }
  994. if edbInfo == nil {
  995. errMsg = "指标已被删除,请重新选择!"
  996. err = errors.New("指标不存在,ChartInfoId:" + strconv.Itoa(edbInfoId))
  997. return
  998. } else {
  999. if edbInfo.EdbInfoId <= 0 {
  1000. errMsg = "指标已被删除,请重新选择!"
  1001. err = errors.New("指标不存在,ChartInfoId:" + strconv.Itoa(edbInfoId))
  1002. return
  1003. }
  1004. }
  1005. edbInfoIdArr = append(edbInfoIdArr, edbInfoId)
  1006. edbInfo.EdbNameSource = edbInfo.EdbName
  1007. }
  1008. sort.Ints(edbInfoIdArr)
  1009. var edbInfoIdArrStr []string
  1010. for _, v := range edbInfoIdArr {
  1011. edbInfoIdArrStr = append(edbInfoIdArrStr, strconv.Itoa(v))
  1012. }
  1013. edbInfoIdStr := strings.Join(edbInfoIdArrStr, ",")
  1014. var chartInfoId int
  1015. // 判断图表是否存在
  1016. {
  1017. var condition string
  1018. var pars []interface{}
  1019. switch lang {
  1020. case utils.EnLangVersion:
  1021. condition += " AND chart_name_en = ? AND source = ? "
  1022. default:
  1023. condition += " AND chart_name=? AND source = ? "
  1024. }
  1025. pars = append(pars, req.ChartName, source)
  1026. count, tmpErr := data_manage.GetChartInfoCountByCondition(condition, pars)
  1027. if tmpErr != nil {
  1028. errMsg = "判断图表名称是否存在失败"
  1029. err = errors.New("判断图表名称是否存在失败,Err:" + tmpErr.Error())
  1030. return
  1031. }
  1032. if count > 0 {
  1033. errMsg = "图表已存在,请重新填写"
  1034. err = errors.New(errMsg)
  1035. isSendEmail = false
  1036. return
  1037. }
  1038. }
  1039. disableVal := data.CheckIsDisableChart(edbInfoIdArr)
  1040. chartInfo = new(data_manage.ChartInfo)
  1041. chartInfo.ChartName = req.ChartName
  1042. chartInfo.ChartNameEn = req.ChartName
  1043. chartInfo.EdbInfoIds = edbInfoIdStr
  1044. chartInfo.ChartClassifyId = req.ChartClassifyId
  1045. chartInfo.SysUserId = sysUser.AdminId
  1046. chartInfo.SysUserRealName = sysUser.RealName
  1047. chartInfo.CreateTime = time.Now()
  1048. chartInfo.ModifyTime = time.Now()
  1049. chartInfo.IsSetName = 0
  1050. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1051. chartInfo.UniqueCode = utils.MD5(utils.CHART_PREFIX + "_" + timestamp)
  1052. chartInfo.ChartType = 1 // 区间计算图
  1053. chartInfo.Calendar = "公历"
  1054. chartInfo.DateType = req.DateType
  1055. chartInfo.StartDate = req.StartDate
  1056. chartInfo.EndDate = req.EndDate
  1057. chartInfo.StartYear = req.StartYear
  1058. chartInfo.SeasonStartDate = req.StartDate
  1059. chartInfo.SeasonEndDate = req.EndDate
  1060. chartInfo.LeftMin = req.LeftMin
  1061. chartInfo.LeftMax = req.LeftMax
  1062. chartInfo.RightMin = req.RightMin
  1063. chartInfo.RightMax = req.RightMax
  1064. chartInfo.Disabled = disableVal
  1065. chartInfo.Source = source
  1066. chartInfo.ChartThemeId = req.ChartThemeId
  1067. chartInfo.SourcesFrom = req.SourcesFrom
  1068. chartInfo.Instructions = req.Instructions
  1069. chartInfo.MarkersLines = req.MarkersLines
  1070. chartInfo.MarkersAreas = req.MarkersAreas
  1071. if req.ExtraConfig != "" {
  1072. chartInfo.ExtraConfig = req.ExtraConfig
  1073. }
  1074. // 指标信息
  1075. mapList := make([]*data_manage.ChartEdbMapping, 0)
  1076. for _, v := range req.ChartEdbInfoList {
  1077. // todo 指标名称修改
  1078. mapItem := new(data_manage.ChartEdbMapping)
  1079. mapItem.EdbInfoId = v.EdbInfoId
  1080. mapItem.EdbAliasName = v.EdbAliasName
  1081. mapItem.IsAxis = v.IsAxis
  1082. mapItem.CreateTime = time.Now()
  1083. mapItem.ModifyTime = time.Now()
  1084. edbTimestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1085. mapItem.UniqueCode = utils.MD5(utils.CHART_PREFIX + "_" + edbTimestamp + "_" + strconv.Itoa(v.EdbInfoId))
  1086. mapItem.IsOrder = false
  1087. mapItem.EdbInfoType = 1
  1088. mapItem.Source = utils.CHART_SOURCE_RANGE_ANALYSIS
  1089. mapList = append(mapList, mapItem)
  1090. }
  1091. // 新增图表和指标mapping
  1092. chartInfoId, e := data_manage.CreateRangeChartAndEdb(chartInfo, mapList)
  1093. if e != nil {
  1094. errMsg = "操作失败"
  1095. err = errors.New("新增区间计算图表失败, Err: " + e.Error())
  1096. return
  1097. }
  1098. // 把系列和图表绑定
  1099. if extraConfig.EdbInfoMode == 1 {
  1100. // 新增指标系列
  1101. err = AddSeries(edbInfoIdArr, chartInfoId, utils.CHART_SOURCE_RANGE_ANALYSIS, extraConfig, req.ExtraConfig)
  1102. if err != nil {
  1103. errMsg = "操作失败"
  1104. err = errors.New("新增区间计算图表失败, Err: " + err.Error())
  1105. return
  1106. }
  1107. //todo 如果保存失败是否要删除
  1108. }
  1109. /*//添加配置信息
  1110. multipleGraphConfig := &data_manage.MultipleGraphConfig{
  1111. //MultipleGraphConfigId: 0,
  1112. SysUserId: sysUser.AdminId,
  1113. SysUserRealName: sysUser.RealName,
  1114. ModifyTime: time.Now(),
  1115. CreateTime: time.Now(),
  1116. }
  1117. err = data_manage.AddMultipleGraphConfig(multipleGraphConfig)
  1118. if err != nil {
  1119. errMsg = "操作失败"
  1120. err = errors.New("新增区间计算图表配置失败, Err: " + err.Error())
  1121. return
  1122. }*/
  1123. if extraConfig.MultipleGraphConfigId > 0 {
  1124. multipleGraphConfigChartMapping := &data_manage.MultipleGraphConfigChartMapping{
  1125. //Id: 0,
  1126. MultipleGraphConfigId: extraConfig.MultipleGraphConfigId,
  1127. ChartInfoId: chartInfo.ChartInfoId,
  1128. Source: utils.CHART_SOURCE_RANGE_ANALYSIS,
  1129. ModifyTime: time.Now(),
  1130. CreateTime: time.Now(),
  1131. }
  1132. err = data_manage.AddMultipleGraphConfigChartMapping(multipleGraphConfigChartMapping)
  1133. if err != nil {
  1134. errMsg = "操作失败"
  1135. err = errors.New("新增区间计算图表和配置关联关系失败, Err: " + err.Error())
  1136. return
  1137. }
  1138. }
  1139. // 添加指标引用记录
  1140. _ = data.SaveChartEdbInfoRelation(edbInfoIdArr, chartInfo)
  1141. //添加es数据
  1142. go data.EsAddOrEditChartInfo(chartInfoId)
  1143. return
  1144. }
  1145. // EditChartInfo 编辑图表
  1146. func EditChartInfo(req data_manage.EditChartInfoReq, sysUser *system.Admin, lang string) (chartItem *data_manage.ChartInfo, err error, errMsg string, isSendEmail bool) {
  1147. isSendEmail = true
  1148. chartItem, err = data_manage.GetChartInfoById(req.ChartInfoId)
  1149. if err != nil {
  1150. if err.Error() == utils.ErrNoRow() {
  1151. errMsg = "图表已被删除,请刷新页面"
  1152. err = errors.New(errMsg)
  1153. isSendEmail = false
  1154. return
  1155. }
  1156. errMsg = "获取图表信息失败"
  1157. err = errors.New("获取图表信息失败,Err:" + err.Error())
  1158. return
  1159. }
  1160. if chartItem.Source != utils.CHART_SOURCE_RANGE_ANALYSIS {
  1161. errMsg = "该图不是区间计算图表!"
  1162. err = errors.New(errMsg)
  1163. isSendEmail = false
  1164. return
  1165. }
  1166. req.ChartName = strings.Trim(req.ChartName, " ")
  1167. if req.ChartClassifyId <= 0 {
  1168. errMsg = "分类参数错误!"
  1169. err = errors.New(errMsg)
  1170. isSendEmail = false
  1171. return
  1172. }
  1173. // 区间计算图表配置校验
  1174. var extraConfig data_manage.ChartRangeAnalysisExtraConf
  1175. if req.ExtraConfig == `` {
  1176. errMsg = "配置信息错误"
  1177. err = errors.New(errMsg)
  1178. return
  1179. }
  1180. err = json.Unmarshal([]byte(req.ExtraConfig), &extraConfig)
  1181. if err != nil {
  1182. errMsg = "配置信息错误"
  1183. err = errors.New(errMsg)
  1184. return
  1185. }
  1186. if len(req.ChartEdbInfoList) <= 0 {
  1187. errMsg = "请选择指标"
  1188. err = errors.New(errMsg)
  1189. isSendEmail = false
  1190. return
  1191. }
  1192. extraConfig.SeriesName = strings.TrimSpace(extraConfig.SeriesName)
  1193. if len(req.ChartEdbInfoList) > 100 {
  1194. errMsg = "添加指标总数量不得超过100"
  1195. err = errors.New(errMsg)
  1196. isSendEmail = false
  1197. return
  1198. }
  1199. err, errMsg, isSendEmail = CheckChartRangeExtraConfig(extraConfig)
  1200. if err != nil {
  1201. return
  1202. }
  1203. chartClassify, err := data_manage.GetChartClassifyById(req.ChartClassifyId)
  1204. if err != nil {
  1205. if err.Error() == utils.ErrNoRow() {
  1206. errMsg = "分类不存在"
  1207. err = errors.New(errMsg)
  1208. isSendEmail = false
  1209. return
  1210. }
  1211. errMsg = "获取分类信息失败"
  1212. err = errors.New("获取分类信息失败,Err:" + err.Error())
  1213. return
  1214. }
  1215. if chartClassify == nil {
  1216. errMsg = "分类不存在"
  1217. err = errors.New(errMsg)
  1218. isSendEmail = false
  1219. return
  1220. }
  1221. // 图表操作权限
  1222. ok := data.CheckOpChartPermission(sysUser, chartItem.SysUserId, true)
  1223. if !ok {
  1224. errMsg = "没有该图表的操作权限"
  1225. err = errors.New(errMsg)
  1226. isSendEmail = false
  1227. return
  1228. }
  1229. var edbInfoIdArr []int
  1230. for _, v := range req.ChartEdbInfoList {
  1231. edbInfoId := v.EdbInfoId
  1232. edbInfo, tmpErr := data_manage.GetEdbInfoById(edbInfoId)
  1233. if tmpErr != nil {
  1234. if tmpErr.Error() == utils.ErrNoRow() {
  1235. errMsg = "图表不存在!"
  1236. err = errors.New("图表指标不存在,ChartInfoId:" + strconv.Itoa(edbInfoId))
  1237. return
  1238. } else {
  1239. errMsg = "获取图表信息失败!"
  1240. err = errors.New("获取图表的指标信息失败,Err:" + tmpErr.Error())
  1241. return
  1242. }
  1243. }
  1244. if edbInfo == nil {
  1245. errMsg = "指标不存在!"
  1246. err = errors.New("指标不存在,ChartInfoId:" + strconv.Itoa(edbInfoId))
  1247. return
  1248. }
  1249. edbInfoIdArr = append(edbInfoIdArr, edbInfoId)
  1250. }
  1251. sort.Ints(edbInfoIdArr)
  1252. var edbInfoIdArrStr []string
  1253. for _, v := range edbInfoIdArr {
  1254. edbInfoIdArrStr = append(edbInfoIdArrStr, strconv.Itoa(v))
  1255. }
  1256. edbInfoIdStr := strings.Join(edbInfoIdArrStr, ",")
  1257. //判断图表是否存在
  1258. {
  1259. var condition string
  1260. var pars []interface{}
  1261. condition += " AND chart_info_id <> ? "
  1262. pars = append(pars, req.ChartInfoId)
  1263. switch lang {
  1264. case utils.EnLangVersion:
  1265. condition += " AND chart_name_en = ? AND source = ? "
  1266. default:
  1267. condition += " AND chart_name=? AND source = ? "
  1268. }
  1269. pars = append(pars, req.ChartName, chartItem.Source)
  1270. count, tmpErr := data_manage.GetChartInfoCountByCondition(condition, pars)
  1271. if tmpErr != nil {
  1272. errMsg = "判断图表名称是否存在失败"
  1273. err = errors.New("判断图表名称是否存在失败,Err:" + tmpErr.Error())
  1274. return
  1275. }
  1276. if count > 0 {
  1277. errMsg = "图表已存在,请重新填写"
  1278. err = errors.New(errMsg)
  1279. isSendEmail = false
  1280. return
  1281. }
  1282. }
  1283. // 修改图表与指标mapping
  1284. req.ChartType = 1
  1285. dateType := req.DateType
  1286. err = data_manage.EditRangeChartInfoAndMapping(&req, edbInfoIdStr, lang, "公历", dateType, 0, ``)
  1287. if err != nil {
  1288. errMsg = "保存失败"
  1289. err = errors.New("保存失败,Err:" + err.Error())
  1290. return
  1291. }
  1292. addSeries := false
  1293. chartSeriesOb := new(data_manage.FactorEdbSeriesChartMapping)
  1294. seriesMappingItem, err := chartSeriesOb.GetItemByChartInfoId(chartItem.ChartInfoId)
  1295. if err != nil {
  1296. if err.Error() == utils.ErrNoRow() {
  1297. err = nil
  1298. addSeries = true
  1299. } else {
  1300. err = fmt.Errorf("获取图表关联失败, Err: " + err.Error())
  1301. return
  1302. }
  1303. }
  1304. if extraConfig.EdbInfoMode == 1 {
  1305. if addSeries {
  1306. // 新增指标系列
  1307. err = AddSeries(edbInfoIdArr, chartItem.ChartInfoId, utils.CHART_SOURCE_RANGE_ANALYSIS, extraConfig, req.ExtraConfig)
  1308. if err != nil {
  1309. errMsg = "操作失败"
  1310. err = errors.New("新增区间计算图表失败, Err: " + err.Error())
  1311. return
  1312. }
  1313. } else {
  1314. err = EditSeries(seriesMappingItem, edbInfoIdArr, extraConfig, req.ExtraConfig, true)
  1315. if err != nil {
  1316. errMsg = "保存失败"
  1317. err = errors.New("保存失败,Err:" + err.Error())
  1318. return
  1319. }
  1320. }
  1321. // todo 编辑失败处理
  1322. } else if extraConfig.EdbInfoMode == 0 {
  1323. if !addSeries {
  1324. // 删除相关的系列
  1325. factorSeriesOb := new(data_manage.FactorEdbSeries)
  1326. err = factorSeriesOb.RemoveSeriesAndMappingByFactorEdbSeriesId(seriesMappingItem)
  1327. if err != nil {
  1328. errMsg = "保存失败"
  1329. err = errors.New("保存失败,Err:" + err.Error())
  1330. return
  1331. }
  1332. }
  1333. }
  1334. resp := new(data_manage.AddChartInfoResp)
  1335. resp.ChartInfoId = chartItem.ChartInfoId
  1336. resp.UniqueCode = chartItem.UniqueCode
  1337. resp.ChartType = req.ChartType
  1338. // 添加指标引用记录
  1339. _ = data.SaveChartEdbInfoRelation(edbInfoIdArr, chartItem)
  1340. //添加es数据
  1341. go data.EsAddOrEditChartInfo(chartItem.ChartInfoId)
  1342. //修改my eta es数据
  1343. go data.EsAddOrEditMyChartInfoByChartInfoId(chartItem.ChartInfoId)
  1344. return
  1345. }
  1346. // CopyChartInfo 复制图表
  1347. func CopyChartInfo(classifyId int, chartName string, oldChartInfo *data_manage.ChartInfo, sysUser *system.Admin, lang string) (chartInfo *data_manage.ChartInfo, err error, errMsg string, isSendEmail bool) {
  1348. isSendEmail = true
  1349. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1350. chartInfo = &data_manage.ChartInfo{
  1351. ChartInfoId: 0,
  1352. ChartName: chartName,
  1353. ChartClassifyId: classifyId,
  1354. SysUserId: sysUser.AdminId,
  1355. SysUserRealName: sysUser.RealName,
  1356. UniqueCode: utils.MD5(utils.CHART_PREFIX + "_" + timestamp),
  1357. CreateTime: time.Now(),
  1358. ModifyTime: time.Now(),
  1359. DateType: oldChartInfo.DateType,
  1360. StartDate: oldChartInfo.StartDate,
  1361. EndDate: oldChartInfo.EndDate,
  1362. IsSetName: oldChartInfo.IsSetName,
  1363. EdbInfoIds: oldChartInfo.EdbInfoIds,
  1364. ChartType: oldChartInfo.ChartType,
  1365. Calendar: oldChartInfo.Calendar,
  1366. SeasonStartDate: oldChartInfo.SeasonStartDate,
  1367. SeasonEndDate: oldChartInfo.SeasonEndDate,
  1368. ChartImage: oldChartInfo.ChartImage,
  1369. BarConfig: oldChartInfo.BarConfig,
  1370. //Sort: sort,
  1371. LeftMin: oldChartInfo.LeftMin,
  1372. LeftMax: oldChartInfo.LeftMax,
  1373. RightMin: oldChartInfo.RightMin,
  1374. RightMax: oldChartInfo.RightMax,
  1375. Right2Min: oldChartInfo.Right2Min,
  1376. Right2Max: oldChartInfo.Right2Max,
  1377. Disabled: oldChartInfo.Disabled,
  1378. Source: oldChartInfo.Source,
  1379. ExtraConfig: oldChartInfo.ExtraConfig,
  1380. SeasonExtraConfig: oldChartInfo.SeasonExtraConfig,
  1381. StartYear: oldChartInfo.StartYear,
  1382. Unit: oldChartInfo.Unit,
  1383. UnitEn: oldChartInfo.UnitEn,
  1384. ChartThemeId: oldChartInfo.ChartThemeId,
  1385. SourcesFrom: oldChartInfo.SourcesFrom,
  1386. Instructions: oldChartInfo.Instructions,
  1387. MarkersLines: oldChartInfo.MarkersLines,
  1388. MarkersAreas: oldChartInfo.MarkersAreas,
  1389. }
  1390. newId, err := data_manage.AddChartInfo(chartInfo)
  1391. if err != nil {
  1392. err = fmt.Errorf("保存失败,Err:%s", err.Error())
  1393. return
  1394. }
  1395. chartInfo.ChartInfoId = int(newId)
  1396. edbInfoMappingList, err := data_manage.GetChartEdbMappingList(oldChartInfo.ChartInfoId)
  1397. if err != nil {
  1398. err = fmt.Errorf("获取图表,指标信息失败,Err:" + err.Error())
  1399. return
  1400. }
  1401. // 添加图表与指标的关联关系
  1402. edbInfoIdArr := make([]int, 0)
  1403. {
  1404. mapList := make([]*data_manage.ChartEdbMapping, 0)
  1405. for _, v := range edbInfoMappingList {
  1406. edbInfoIdArr = append(edbInfoIdArr, v.EdbInfoId)
  1407. timestamp = strconv.FormatInt(time.Now().UnixNano(), 10)
  1408. mapItem := &data_manage.ChartEdbMapping{
  1409. //ChartEdbMappingId: 0,
  1410. ChartInfoId: chartInfo.ChartInfoId,
  1411. EdbInfoId: v.EdbInfoId,
  1412. CreateTime: time.Now(),
  1413. ModifyTime: time.Now(),
  1414. UniqueCode: utils.MD5(utils.CHART_PREFIX + "_" + timestamp),
  1415. MaxData: v.MaxData,
  1416. MinData: v.MinData,
  1417. IsOrder: v.IsOrder,
  1418. IsAxis: v.IsAxis,
  1419. EdbInfoType: v.EdbInfoType,
  1420. LeadValue: v.LeadValue,
  1421. LeadUnit: v.LeadUnit,
  1422. ChartStyle: v.ChartStyle,
  1423. ChartColor: v.ChartColor,
  1424. ChartWidth: v.ChartWidth,
  1425. Source: v.Source,
  1426. EdbAliasName: v.EdbAliasName,
  1427. IsConvert: v.IsConvert,
  1428. ConvertType: v.ConvertType,
  1429. ConvertValue: v.ConvertValue,
  1430. ConvertUnit: v.ConvertEnUnit,
  1431. ConvertEnUnit: v.ConvertEnUnit,
  1432. }
  1433. mapList = append(mapList, mapItem)
  1434. }
  1435. err = data_manage.AddChartEdbMapping(mapList)
  1436. if err != nil {
  1437. err = fmt.Errorf("保存失败,Err:%s", err.Error())
  1438. return
  1439. }
  1440. }
  1441. // 添加系列和图表映射
  1442. chartSeriesOb := new(data_manage.FactorEdbSeriesChartMapping)
  1443. _, err = chartSeriesOb.GetItemByChartInfoId(oldChartInfo.ChartInfoId)
  1444. if err != nil {
  1445. if err.Error() == utils.ErrNoRow() {
  1446. err = nil
  1447. } else {
  1448. err = fmt.Errorf("获取图表关联失败, Err: " + err.Error())
  1449. return
  1450. }
  1451. } else {
  1452. // 新增指标系列
  1453. // 区间计算图表配置校验
  1454. var extraConfig data_manage.ChartRangeAnalysisExtraConf
  1455. err = json.Unmarshal([]byte(chartInfo.ExtraConfig), &extraConfig)
  1456. if err != nil {
  1457. errMsg = "配置信息错误"
  1458. err = errors.New(errMsg + ", Err: " + err.Error())
  1459. return
  1460. }
  1461. err = AddSeries(edbInfoIdArr, chartInfo.ChartInfoId, utils.CHART_SOURCE_RANGE_ANALYSIS, extraConfig, chartInfo.ExtraConfig)
  1462. if err != nil {
  1463. errMsg = "操作失败"
  1464. err = errors.New("新增区间计算图表失败, Err: " + err.Error())
  1465. return
  1466. }
  1467. }
  1468. //添加es数据
  1469. go data.EsAddOrEditChartInfo(chartInfo.ChartInfoId)
  1470. return
  1471. }
  1472. /*
  1473. // CalculateCorrelation 计算区间计算-获取x轴和y轴
  1474. func CalculateCorrelation(leadValue int, leadUnit, frequencyA, frequencyB string, dataListA, dataListB []*data_manage.EdbDataList) (xEdbIdValue []int, yDataList []data_manage.YData, err error) {
  1475. xData := make([]int, 0)
  1476. yData := make([]float64, 0)
  1477. if leadValue == 0 {
  1478. xData = append(xData, 0)
  1479. }
  1480. if leadValue > 0 {
  1481. leadMin := 0 - leadValue
  1482. xLen := 2*leadValue + 1
  1483. for i := 0; i < xLen; i++ {
  1484. n := leadMin + i
  1485. xData = append(xData, n)
  1486. }
  1487. }
  1488. // 计算窗口,不包含第一天
  1489. //startDateTime, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  1490. //startDate = startDateTime.AddDate(0, 0, 1).Format(utils.FormatDate)
  1491. //// 2023-03-02 时间序列始终以指标B为基准, 始终是A进行平移
  1492. //baseEdbInfo := edbInfoMappingB
  1493. //changeEdbInfo := edbInfoMappingA
  1494. // 2023-03-17 时间序列始终以指标A为基准, 始终是B进行平移
  1495. //baseEdbInfo := edbInfoMappingA
  1496. //changeEdbInfo := edbInfoMappingB
  1497. // 获取时间基准指标在时间区间内的值
  1498. //aDataList := make([]*data_manage.EdbDataList, 0)
  1499. //switch baseEdbInfo.EdbInfoCategoryType {
  1500. //case 0:
  1501. // aDataList, err = data_manage.GetEdbDataList(baseEdbInfo.Source, baseEdbInfo.SubSource, baseEdbInfo.EdbInfoId, startDate, endDate)
  1502. //case 1:
  1503. // _, aDataList, _, _, err, _ = data.GetPredictDataListByPredictEdbInfoId(baseEdbInfo.EdbInfoId, startDate, endDate, false)
  1504. //default:
  1505. // err = errors.New("指标base类型异常")
  1506. // return
  1507. //}
  1508. //
  1509. //// 获取变频指标所有日期的值, 插值法完善数据
  1510. //bDataList := make([]*data_manage.EdbDataList, 0)
  1511. //switch changeEdbInfo.EdbInfoCategoryType {
  1512. //case 0:
  1513. // bDataList, err = data_manage.GetEdbDataList(changeEdbInfo.Source, changeEdbInfo.SubSource, changeEdbInfo.EdbInfoId, "", "")
  1514. //case 1:
  1515. // _, bDataList, _, _, err, _ = data.GetPredictDataListByPredictEdbInfoId(changeEdbInfo.EdbInfoId, "", "", false)
  1516. //default:
  1517. // err = errors.New("指标change类型异常")
  1518. // return
  1519. //}
  1520. //changeDataMap := make(map[string]float64)
  1521. //newChangeDataList, e := HandleDataByLinearRegression(bDataList, changeDataMap)
  1522. //if e != nil {
  1523. // err = fmt.Errorf("获取变频指标插值法Map失败, Err: %s", e.Error())
  1524. // return
  1525. //}
  1526. // 2023-03-17 时间序列始终以指标A为基准, 始终是B进行平移
  1527. baseDataList := make([]*data_manage.EdbDataList, 0)
  1528. baseDataMap := make(map[string]float64)
  1529. changeDataList := make([]*data_manage.EdbDataList, 0)
  1530. changeDataMap := make(map[string]float64)
  1531. // 先把低频指标升频为高频
  1532. {
  1533. frequencyIntMap := map[string]int{
  1534. "日度": 1,
  1535. "周度": 2,
  1536. "旬度": 3,
  1537. "月度": 4,
  1538. "季度": 5,
  1539. "年度": 6,
  1540. }
  1541. // 如果A指标是高频,那么就需要对B指标进行升频
  1542. if frequencyIntMap[frequencyA] < frequencyIntMap[frequencyB] {
  1543. tmpNewChangeDataList, e := HandleDataByLinearRegression(dataListB, changeDataMap)
  1544. if e != nil {
  1545. err = fmt.Errorf("获取变频指标插值法Map失败, Err: %s", e.Error())
  1546. return
  1547. }
  1548. changeDataList = tmpNewChangeDataList
  1549. baseDataList = dataListA
  1550. for _, v := range baseDataList {
  1551. baseDataMap[v.DataTime] = v.Value
  1552. }
  1553. } else if frequencyIntMap[frequencyA] > frequencyIntMap[frequencyB] {
  1554. // 如果B指标是高频,那么就需要对A指标进行升频
  1555. tmpNewChangeDataList, e := HandleDataByLinearRegression(dataListA, baseDataMap)
  1556. if e != nil {
  1557. err = fmt.Errorf("获取变频指标插值法Map失败, Err: %s", e.Error())
  1558. return
  1559. }
  1560. baseDataList = tmpNewChangeDataList
  1561. changeDataList = dataListB
  1562. for _, v := range changeDataList {
  1563. changeDataMap[v.DataTime] = v.Value
  1564. }
  1565. } else {
  1566. baseDataList = dataListA
  1567. for _, v := range baseDataList {
  1568. baseDataMap[v.DataTime] = v.Value
  1569. }
  1570. changeDataList = dataListB
  1571. for _, v := range changeDataList {
  1572. changeDataMap[v.DataTime] = v.Value
  1573. }
  1574. }
  1575. }
  1576. // 计算不领先也不滞后时的相关系数
  1577. baseCalculateData := make([]float64, 0)
  1578. baseDataTimeArr := make([]string, 0)
  1579. for i := range baseDataList {
  1580. baseDataTimeArr = append(baseDataTimeArr, baseDataList[i].DataTime)
  1581. baseCalculateData = append(baseCalculateData, baseDataList[i].Value)
  1582. }
  1583. //zeroBaseData := make([]float64, 0)
  1584. //zeroCalculateData := make([]float64, 0)
  1585. //for i := range baseDataTimeArr {
  1586. // tmpBaseVal, ok1 := baseDataMap[baseDataTimeArr[i]]
  1587. // tmpCalculateVal, ok2 := changeDataMap[baseDataTimeArr[i]]
  1588. // if ok1 && ok2 {
  1589. // zeroBaseData = append(zeroBaseData, tmpBaseVal)
  1590. // zeroCalculateData = append(zeroCalculateData, tmpCalculateVal)
  1591. // }
  1592. //}
  1593. //if len(zeroBaseData) != len(zeroCalculateData) {
  1594. // err = fmt.Errorf("相关系数两组序列元素数不一致, %d-%d", len(baseCalculateData), len(zeroCalculateData))
  1595. // return
  1596. //}
  1597. //zeroRatio := utils.CalculateCorrelationByIntArr(zeroBaseData, zeroCalculateData)
  1598. //if leadValue == 0 {
  1599. // yData = append(yData, zeroRatio)
  1600. //}
  1601. // 计算领先/滞后N期
  1602. if leadValue > 0 {
  1603. // 平移变频指标领先/滞后的日期(单位天)
  1604. moveUnitDays := utils.FrequencyDaysMap[leadUnit]
  1605. for i := range xData {
  1606. //if xData[i] == 0 {
  1607. // yData = append(yData, zeroRatio)
  1608. // continue
  1609. //}
  1610. xCalculateData := make([]float64, 0)
  1611. yCalculateData := make([]float64, 0)
  1612. // 平移指定天数
  1613. mDays := int(moveUnitDays) * xData[i]
  1614. _, dMap := MoveDataDaysToNewDataList(changeDataList, mDays)
  1615. // 取出对应的基准日期的值
  1616. for i2 := range baseDataTimeArr {
  1617. tmpDate := baseDataTimeArr[i2]
  1618. if yVal, ok := dMap[tmpDate]; ok {
  1619. xCalculateData = append(xCalculateData, baseCalculateData[i2])
  1620. yCalculateData = append(yCalculateData, yVal)
  1621. }
  1622. }
  1623. if len(yCalculateData) <= 0 {
  1624. //err = fmt.Errorf("领先滞后相关系数两组序列元素数不一致, %d-%d", len(baseCalculateData), len(yCalculateData))
  1625. //return
  1626. // 领先滞后后,没有可以计算的数据了
  1627. continue
  1628. }
  1629. // 公式计算出领先/滞后频度对应点的区间计算系数
  1630. ratio := utils.CalculateCorrelationByIntArr(xCalculateData, yCalculateData)
  1631. yData = append(yData, ratio)
  1632. }
  1633. }
  1634. xEdbIdValue = xData
  1635. yDataList = make([]data_manage.YData, 0)
  1636. yDate := "0000-00-00"
  1637. yDataList = append(yDataList, data_manage.YData{
  1638. Date: yDate,
  1639. Value: yData,
  1640. })
  1641. return
  1642. }
  1643. // GetFactorChartDataByChartId 获取多因子区间计算图表数据
  1644. func GetFactorChartDataByChartId(chartInfoId int, extraConfig string) (xEdbIdValue []int, yDataList []data_manage.YData, err error) {
  1645. if chartInfoId <= 0 {
  1646. return
  1647. }
  1648. // 指标对应的图例
  1649. extra := new(data_manage.CorrelationChartInfoExtraConfig)
  1650. if extraConfig != "" {
  1651. if e := json.Unmarshal([]byte(extraConfig), extra); e != nil {
  1652. err = fmt.Errorf("解析图表额外配置失败, err: %v", e)
  1653. return
  1654. }
  1655. }
  1656. legends := make(map[string]*data_manage.CorrelationChartLegend)
  1657. if extra != nil {
  1658. for _, v := range extra.LegendConfig {
  1659. s := fmt.Sprintf("%d-%d", v.SeriesId, v.EdbInfoId)
  1660. legends[s] = v
  1661. }
  1662. }
  1663. // 获取图表引用到的系列指标
  1664. chartMappingOb := new(data_manage.FactorEdbSeriesChartMapping)
  1665. cond := fmt.Sprintf(" AND %s = ? AND %s = 1", chartMappingOb.Cols().ChartInfoId, chartMappingOb.Cols().EdbUsed)
  1666. pars := make([]interface{}, 0)
  1667. pars = append(pars, chartInfoId)
  1668. chartMappings, e := chartMappingOb.GetItemsByCondition(cond, pars, []string{}, "")
  1669. if e != nil {
  1670. err = fmt.Errorf("获取图表引用系列指标失败")
  1671. return
  1672. }
  1673. // 取出计算结果
  1674. yDataList = make([]data_manage.YData, 0)
  1675. yDate := "0000-00-00"
  1676. for k, m := range chartMappings {
  1677. var values []data_manage.FactorEdbSeriesCorrelationMatrixValues
  1678. if m.CalculateData != "" {
  1679. e = json.Unmarshal([]byte(m.CalculateData), &values)
  1680. if e != nil {
  1681. err = fmt.Errorf("系列指标计算数据有误, err: %v", e)
  1682. return
  1683. }
  1684. }
  1685. var y []float64
  1686. for _, v := range values {
  1687. if k == 0 {
  1688. xEdbIdValue = append(xEdbIdValue, v.XData)
  1689. }
  1690. y = append(y, v.YData)
  1691. }
  1692. var yData data_manage.YData
  1693. yData.Date = yDate
  1694. yData.Value = y
  1695. yData.SeriesEdb.SeriesId = m.FactorEdbSeriesId
  1696. yData.SeriesEdb.EdbInfoId = m.EdbInfoId
  1697. // 图例
  1698. s := fmt.Sprintf("%d-%d", m.FactorEdbSeriesId, m.EdbInfoId)
  1699. legend := legends[s]
  1700. if legend != nil {
  1701. yData.Name = legend.LegendName
  1702. yData.Color = legend.Color
  1703. }
  1704. yDataList = append(yDataList, yData)
  1705. }
  1706. return
  1707. }
  1708. // FormatChartEdbInfoMappings 补充指标信息
  1709. func FormatChartEdbInfoMappings(chartInfoId int, mappings []*data_manage.ChartEdbInfoMapping) (edbList []*data_manage.ChartEdbInfoMapping, err error) {
  1710. edbList = make([]*data_manage.ChartEdbInfoMapping, 0)
  1711. if len(mappings) == 0 {
  1712. return
  1713. }
  1714. for _, v := range mappings {
  1715. if chartInfoId <= 0 {
  1716. v.IsAxis = 1
  1717. v.LeadValue = 0
  1718. v.LeadUnit = ""
  1719. v.ChartEdbMappingId = 0
  1720. v.ChartInfoId = 0
  1721. v.IsOrder = false
  1722. v.EdbInfoType = 1
  1723. v.ChartStyle = ""
  1724. v.ChartColor = ""
  1725. v.ChartWidth = 0
  1726. } else {
  1727. v.LeadUnitEn = data.GetLeadUnitEn(v.LeadUnit)
  1728. v.LeadUnitEn = data.GetLeadUnitEn(v.LeadUnit)
  1729. }
  1730. v.FrequencyEn = data.GetFrequencyEn(v.Frequency)
  1731. if v.Unit == `无` {
  1732. v.Unit = ``
  1733. }
  1734. edbList = append(edbList, v)
  1735. }
  1736. return
  1737. }*/
  1738. func GetEdbDateByMoveForward(startDate string, moveForward int, edbDataList []*data_manage.EdbDataList) (date string) {
  1739. // 根据日期进行排序
  1740. index := 0
  1741. // 把正序的指标改成倒序
  1742. var dataList data_manage.SortEdbDataList
  1743. dataList = edbDataList
  1744. sort.Sort(dataList)
  1745. for _, v := range dataList {
  1746. if v.DataTime == startDate {
  1747. index += 1
  1748. continue
  1749. }
  1750. if index >= moveForward {
  1751. date = v.DataTime
  1752. break
  1753. }
  1754. if index > 0 {
  1755. index += 1
  1756. }
  1757. }
  1758. return
  1759. }
  1760. // HandleEdbDateChange 处理日期变换
  1761. func HandleEdbDateChange(date string, dateChange []*data_manage.EdbDataDateChangeConf) (newDate string, err error) {
  1762. newDate = date
  1763. if newDate != "" {
  1764. if len(dateChange) > 0 {
  1765. var dateTime time.Time
  1766. dateTime, err = time.ParseInLocation(utils.FormatDate, newDate, time.Local)
  1767. if err != nil {
  1768. err = fmt.Errorf("日期解析失败: %s", err.Error())
  1769. return
  1770. }
  1771. for _, v := range dateChange {
  1772. if v.ChangeType == 1 {
  1773. dateTime = dateTime.AddDate(v.Year, v.Month, v.Day)
  1774. newDate = dateTime.Format(utils.FormatDate)
  1775. } else if v.ChangeType == 2 {
  1776. newDate, err, _ = utils.HandleSystemAppointDateT(dateTime, v.FrequencyDay, v.Frequency)
  1777. if err != nil {
  1778. return
  1779. }
  1780. dateTime, err = time.ParseInLocation(utils.FormatDate, newDate, time.Local)
  1781. if err != nil {
  1782. err = fmt.Errorf("日期解析失败: %s", err.Error())
  1783. return
  1784. }
  1785. }
  1786. }
  1787. }
  1788. }
  1789. return
  1790. }
  1791. // 添加指标系列和数据
  1792. func AddSeries(edbInfoIds []int, chartInfoId, chartInfoSource int, extraConf data_manage.ChartRangeAnalysisExtraConf, calculatesJson string) (err error) {
  1793. edbArr, e := data_manage.GetEdbInfoByIdList(edbInfoIds)
  1794. if e != nil {
  1795. err = fmt.Errorf("获取指标列表失败, Err: " + e.Error())
  1796. return
  1797. }
  1798. if len(edbArr) == 0 {
  1799. err = fmt.Errorf("获取指标列表失败, 指标不存在")
  1800. return
  1801. }
  1802. edbInfoType := edbArr[0].EdbInfoType
  1803. // 新增指标系列
  1804. seriesItem := new(data_manage.FactorEdbSeries)
  1805. seriesItem.SeriesName = extraConf.SeriesName
  1806. seriesItem.EdbInfoType = edbInfoType
  1807. seriesItem.CreateTime = time.Now().Local()
  1808. seriesItem.ModifyTime = time.Now().Local()
  1809. seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculating
  1810. seriesItem.CalculateStep = calculatesJson
  1811. mappings := make([]*data_manage.FactorEdbSeriesMapping, 0)
  1812. for _, v := range edbArr {
  1813. mappings = append(mappings, &data_manage.FactorEdbSeriesMapping{
  1814. EdbInfoId: v.EdbInfoId,
  1815. EdbCode: v.EdbCode,
  1816. CreateTime: time.Now().Local(),
  1817. ModifyTime: time.Now().Local(),
  1818. })
  1819. }
  1820. seriesId, e := seriesItem.CreateSeriesAndMapping(seriesItem, mappings)
  1821. if e != nil {
  1822. err = fmt.Errorf("新增因子指标系列失败, Err: " + e.Error())
  1823. return
  1824. }
  1825. // 图表关联-此处添加的chart_info_id=0
  1826. seriesChartMapping := new(data_manage.FactorEdbSeriesChartMapping)
  1827. seriesChartMapping.CalculateType = data_manage.FactorEdbSeriesChartCalculateTypeRange
  1828. //新增图表和指标的映射关系
  1829. seriesChartMapping.CalculateData = ""
  1830. seriesChartMapping.FactorEdbSeriesId = seriesId
  1831. seriesChartMapping.ChartInfoId = chartInfoId
  1832. seriesChartMapping.Source = chartInfoSource
  1833. seriesChartMapping.CreateTime = time.Now().Local()
  1834. seriesChartMapping.ModifyTime = time.Now().Local()
  1835. if e = seriesChartMapping.Create(); e != nil {
  1836. err = fmt.Errorf("新增图表关联失败, Err: " + e.Error())
  1837. return
  1838. }
  1839. // todo 计算指标数据并存储
  1840. _, e = FactorEdbStepCalculateRange(seriesId, edbInfoIds, extraConf, false)
  1841. if e != nil {
  1842. err = fmt.Errorf("计算因子指标失败, Err: " + e.Error())
  1843. return
  1844. }
  1845. // 更新系列计算状态
  1846. cols := []string{seriesItem.Cols().CalculateState, seriesItem.Cols().ModifyTime}
  1847. seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculated
  1848. seriesItem.ModifyTime = time.Now().Local()
  1849. if e = seriesItem.Update(cols); e != nil {
  1850. err = fmt.Errorf("更新因子指标系列计算状态失败, Err: " + e.Error())
  1851. return
  1852. }
  1853. return
  1854. }
  1855. func EditSeries(seriesMapping *data_manage.FactorEdbSeriesChartMapping, edbInfoIds []int, extraConf data_manage.ChartRangeAnalysisExtraConf, calculatesJson string, recalculate bool) (err error) {
  1856. seriesOb := new(data_manage.FactorEdbSeries)
  1857. seriesItem, e := seriesOb.GetItemById(seriesMapping.FactorEdbSeriesId)
  1858. if e != nil {
  1859. if e.Error() == utils.ErrNoRow() {
  1860. err = fmt.Errorf("因子指标系列不存在, Err: " + e.Error())
  1861. return
  1862. }
  1863. err = fmt.Errorf("获取因子指标系列失败, Err: " + e.Error())
  1864. return
  1865. }
  1866. edbArr, e := data_manage.GetEdbInfoByIdList(edbInfoIds)
  1867. if e != nil {
  1868. err = fmt.Errorf("获取指标列表失败, Err: " + e.Error())
  1869. return
  1870. }
  1871. if len(edbArr) == 0 {
  1872. err = fmt.Errorf("指标列表为空")
  1873. return
  1874. }
  1875. var calculateResp data_manage.FactorEdbSeriesStepCalculateResp
  1876. calculateResp.SeriesId = seriesItem.FactorEdbSeriesId
  1877. // 如果不需要进行重新计算(比如只改了系列名称)那么只更新指标系列
  1878. seriesItem.SeriesName = extraConf.SeriesName
  1879. seriesItem.EdbInfoType = edbArr[0].EdbInfoType
  1880. seriesItem.ModifyTime = time.Now().Local()
  1881. updateCols := []string{seriesOb.Cols().SeriesName, seriesOb.Cols().EdbInfoType, seriesOb.Cols().ModifyTime}
  1882. if !recalculate {
  1883. if e = seriesItem.Update(updateCols); e != nil {
  1884. err = fmt.Errorf("更新因子指标系列失败, Err: " + e.Error())
  1885. return
  1886. }
  1887. return
  1888. }
  1889. // 更新系列信息和指标关联
  1890. seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculating
  1891. seriesItem.CalculateStep = calculatesJson
  1892. updateCols = append(updateCols, seriesOb.Cols().CalculateState, seriesOb.Cols().CalculateStep)
  1893. mappings := make([]*data_manage.FactorEdbSeriesMapping, 0)
  1894. for _, v := range edbArr {
  1895. mappings = append(mappings, &data_manage.FactorEdbSeriesMapping{
  1896. EdbInfoId: v.EdbInfoId,
  1897. EdbCode: v.EdbCode,
  1898. CreateTime: time.Now().Local(),
  1899. ModifyTime: time.Now().Local(),
  1900. })
  1901. }
  1902. if e = seriesItem.EditSeriesAndMapping(seriesItem, mappings, updateCols); e != nil {
  1903. err = fmt.Errorf("更新因子指标系列信息失败, Err: %s", e.Error())
  1904. return
  1905. }
  1906. // todo 重新计算
  1907. _, e = FactorEdbStepCalculateRange(seriesItem.FactorEdbSeriesId, edbInfoIds, extraConf, false)
  1908. if e != nil {
  1909. err = fmt.Errorf("计算因子指标失败, Err: " + e.Error())
  1910. return
  1911. }
  1912. // 更新系列计算状态
  1913. cols := []string{seriesItem.Cols().CalculateState, seriesItem.Cols().ModifyTime}
  1914. seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculated
  1915. seriesItem.ModifyTime = time.Now().Local()
  1916. if e = seriesItem.Update(cols); e != nil {
  1917. err = fmt.Errorf("更新因子指标系列计算状态失败, Err: %s", e.Error())
  1918. return
  1919. }
  1920. return
  1921. }
  1922. // FactorEdbStepCalculateRange 因子指标-区间计算
  1923. func FactorEdbStepCalculateRange(seriesId int, edbArr []int, extraConf data_manage.ChartRangeAnalysisExtraConf, recalculate bool) (calculateResp data_manage.FactorEdbSeriesStepCalculateResp, err error) {
  1924. // todo 如果指标已保存,则用指标数据还是图表指标数据?
  1925. // 获取图表x轴y轴
  1926. defer func() {
  1927. if err != nil {
  1928. tips := fmt.Sprintf("StepCalculate计算失败, ErrMsg: %v", err)
  1929. fmt.Println(tips)
  1930. utils.FileLog.Info(tips)
  1931. go alarm_msg.SendAlarmMsg(tips, 3)
  1932. }
  1933. /*if len(calculateResp.Fail) > 0 {
  1934. tips := "StepCalculate计算失败, ErrMsg: "
  1935. for _, f := range calculateResp.Fail {
  1936. tips += fmt.Sprintf("code: %s, err: %s\n", f.EdbCode, f.ErrMsg)
  1937. }
  1938. fmt.Println(tips)
  1939. utils.FileLog.Info(tips)
  1940. go alarm_msg.SendAlarmMsg(tips, 2)
  1941. }*/
  1942. }()
  1943. edbInfoMappingList, e := data_manage.GetChartEdbMappingListByEdbInfoIdList(edbArr)
  1944. if e != nil {
  1945. err = fmt.Errorf("获取区间计算图表, A指标mapping信息失败, Err:%v", e)
  1946. return
  1947. }
  1948. _, _, _, err = GetChartDataByEdbInfoList(0, 0, 0, "", "", edbInfoMappingList, &extraConf)
  1949. if err != nil {
  1950. err = fmt.Errorf("获取图表数据失败, ErrMsg: %v", err)
  1951. return
  1952. }
  1953. // 重新计算-先清除原数据
  1954. calculateDataOb := new(data_manage.FactorEdbSeriesCalculateDataQjjs)
  1955. cond := fmt.Sprintf("%s = ?", calculateDataOb.Cols().FactorEdbSeriesId)
  1956. pars := make([]interface{}, 0)
  1957. pars = append(pars, seriesId)
  1958. if e := calculateDataOb.RemoveByCondition(cond, pars); e != nil {
  1959. err = fmt.Errorf("清除原数据失败, err: %v", e)
  1960. return
  1961. }
  1962. // 计算成功的保存结果
  1963. dataArr := make([]*data_manage.FactorEdbSeriesCalculateDataQjjs, 0)
  1964. for _, v := range edbInfoMappingList {
  1965. dataList := v.DataList.([]*data_manage.EdbDataList)
  1966. for _, dataItem := range dataList {
  1967. dataTime, _ := time.ParseInLocation(utils.FormatDate, dataItem.DataTime, time.Local)
  1968. dataArr = append(dataArr, &data_manage.FactorEdbSeriesCalculateDataQjjs{
  1969. FactorEdbSeriesId: seriesId,
  1970. EdbInfoId: v.EdbInfoId,
  1971. EdbCode: v.EdbCode,
  1972. DataTime: dataTime,
  1973. Value: dataItem.Value,
  1974. CreateTime: time.Now().Local(),
  1975. ModifyTime: time.Now().Local(),
  1976. DataTimestamp: dataItem.DataTimestamp,
  1977. })
  1978. }
  1979. }
  1980. if len(dataArr) == 0 {
  1981. err = fmt.Errorf("计算结果无数据, seriesId: %d", seriesId)
  1982. return
  1983. }
  1984. if e = calculateDataOb.CreateMulti(dataArr); e != nil {
  1985. err = fmt.Errorf("保存计算结果失败, seriesId: %d, err: %v, ", seriesId, e)
  1986. return
  1987. }
  1988. return
  1989. }
  1990. func CheckChartRangeExtraConfig(extraConfig data_manage.ChartRangeAnalysisExtraConf) (err error, errMsg string, isSendEmail bool) {
  1991. extraConfig.SeriesName = strings.TrimSpace(extraConfig.SeriesName)
  1992. if extraConfig.SeriesName == "" && extraConfig.EdbInfoMode == 1 {
  1993. errMsg = "请输入指标系列名称"
  1994. err = errors.New(errMsg)
  1995. isSendEmail = false
  1996. return
  1997. }
  1998. if extraConfig.CalculateType > 5 || extraConfig.CalculateType < 0 {
  1999. errMsg = "计算方式参数错误"
  2000. err = errors.New(errMsg)
  2001. isSendEmail = false
  2002. return
  2003. }
  2004. switch extraConfig.DateRangeType {
  2005. case 0:
  2006. case 1:
  2007. if len(extraConfig.ManualDateConf) == 0 {
  2008. errMsg = "请选择时间区间"
  2009. err = errors.New(errMsg)
  2010. return
  2011. }
  2012. // 先按开始时间排序
  2013. sort.Sort(data_manage.ChartRangeAnalysisManualDateConfList(extraConfig.ManualDateConf))
  2014. // 校验日期
  2015. // 1.如果截止时间小于指标的截止日期,需要重置为指标的截止日期
  2016. // 2.时间区间不能重叠
  2017. for i := 1; i < len(extraConfig.ManualDateConf); i++ {
  2018. start1, e := time.Parse(utils.FormatDate, extraConfig.ManualDateConf[i-1].EndDate)
  2019. if e != nil {
  2020. err = e
  2021. errMsg = "截止日期格式有误"
  2022. return
  2023. }
  2024. start2, e := time.Parse(utils.FormatDate, extraConfig.ManualDateConf[i].EndDate)
  2025. if e != nil {
  2026. err = e
  2027. errMsg = "截止日期格式有误"
  2028. return
  2029. }
  2030. start3, e := time.Parse(utils.FormatDate, extraConfig.ManualDateConf[i].StartDate)
  2031. if e != nil {
  2032. err = e
  2033. errMsg = "截止日期格式有误"
  2034. return
  2035. }
  2036. // 如果当前区间的开始时间小于等于前一个区间的结束时间,则存在重叠
  2037. if !start2.After(start1) || start3.Before(start1) {
  2038. errMsg = "日期区间存在重叠"
  2039. return
  2040. }
  2041. }
  2042. //如果截止时间大于指标的截止日期,需要重置为指标的截止日期
  2043. case 2:
  2044. if extraConfig.YearDateConf.StartDay == "" || extraConfig.YearDateConf.EndDay == "" {
  2045. errMsg = "请选择时间区间"
  2046. return
  2047. }
  2048. if _, e := time.Parse(utils.FormatMonthDay, extraConfig.YearDateConf.StartDay); e != nil {
  2049. errMsg = "开始日期格式有误"
  2050. return
  2051. }
  2052. if _, e := time.Parse(utils.FormatMonthDay, extraConfig.YearDateConf.EndDay); e != nil {
  2053. errMsg = "结束日期格式有误"
  2054. return
  2055. }
  2056. }
  2057. return
  2058. }