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[len(calDataList)-1].Value
  172. baseDate := calDataList[len(calDataList)-1].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[len(item.DataList)-1].Value
  194. baseDate := item.DataList[len(item.DataList)-1].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[len(calDataList)-1].Value
  227. baseDate = calDataList[len(calDataList)-1].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[len(item.DataList)-1].Value
  258. baseDate := item.DataList[len(item.DataList)-1].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. dataListTmp := make([]*data_manage.EdbDataList, 0)
  641. switch edbInfoMapping.EdbInfoCategoryType {
  642. case 0:
  643. dataListTmp, err = data_manage.GetEdbDataList(edbInfoMapping.Source, edbInfoMapping.SubSource, edbInfoMapping.EdbInfoId, "", "")
  644. case 1:
  645. _, dataListTmp, _, _, 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. sort.Sort(dataList)
  653. dateList := make([]*data_manage.ChartRangeAnalysisDateDataItem, 0)
  654. switch req.DateRangeType {
  655. case 0:
  656. // 智能划分得到一个开始日期,和结束日期
  657. var startDateTime, endDateTime time.Time
  658. startDateTime = edbStartDateTime
  659. if req.AutoDateConf.IsAutoStartDate == 0 { //固定设置
  660. startDate := req.AutoDateConf.StartDate
  661. if startDate == "" {
  662. startDate = "2020-01-01"
  663. }
  664. startDateTime, _ = time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  665. } /*else {
  666. startConf := req.AutoDateConf.StartDateConf
  667. startDate := ""
  668. if startConf.BaseDateType == 0 { //
  669. startDate = edbEndDate
  670. } else if startConf.BaseDateType == 1 {
  671. startDate = time.Now().Format(utils.FormatDate)
  672. }
  673. if startConf.MoveForward > 0 {
  674. startDate = GetEdbDateByMoveForward(startConf.MoveForward, dataList)
  675. }
  676. if len(startConf.DateChange) > 0 {
  677. startDate, err = HandleEdbDateChange(startDate, startConf.DateChange)
  678. if err != nil {
  679. err = fmt.Errorf("智能划分开始日期处理失败:%s", err.Error())
  680. return
  681. }
  682. }
  683. startDateTime, _ = time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  684. }*/
  685. if req.AutoDateConf.IsAutoEndDate == 0 { //固定设置
  686. endDate := req.AutoDateConf.EndDate
  687. if endDate == "" {
  688. err = fmt.Errorf("智能划分截止日期处理失败:请输入截止日期")
  689. return
  690. }
  691. // todo 如果截止日期比指标日期还要大,则用指标的最新日期
  692. endDateTime, _ = time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  693. } else {
  694. endConf := req.AutoDateConf.EndDateConf
  695. endDate := edbEndDate
  696. if endConf.MoveForward > 0 {
  697. endDate = GetEdbDateByMoveForward(endDate, endConf.MoveForward, dataList)
  698. }
  699. if len(endConf.DateChange) > 0 {
  700. endDate, err = HandleEdbDateChange(endDate, endConf.DateChange)
  701. if err != nil {
  702. err = fmt.Errorf("智能划分结束日期处理失败:%s", err.Error())
  703. return
  704. }
  705. }
  706. endDateTime, _ = time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  707. }
  708. dateList = append(dateList, &data_manage.ChartRangeAnalysisDateDataItem{
  709. StartDate: startDateTime,
  710. EndDate: endDateTime})
  711. case 1:
  712. // 手工划分得到多个开始日期和结束日期(已排序)
  713. for _, v := range req.ManualDateConf {
  714. startDateT, _ := time.ParseInLocation(utils.FormatDate, v.StartDate, time.Local)
  715. endDateT, _ := time.ParseInLocation(utils.FormatDate, v.EndDate, time.Local)
  716. tmp := &data_manage.ChartRangeAnalysisDateDataItem{
  717. StartDate: startDateT,
  718. EndDate: endDateT,
  719. }
  720. dateList = append(dateList, tmp)
  721. }
  722. case 2:
  723. // 跨年划分得到多个开始日期和结束日期
  724. startYear := edbStartDateTime.Year()
  725. endYear := edbEndDateTime.Year()
  726. startDay := req.YearDateConf.StartDay
  727. endDay := req.YearDateConf.EndDay
  728. for year := startYear; year <= endYear; year++ {
  729. startDate := fmt.Sprintf("%d-%s", year, startDay)
  730. endDate := fmt.Sprintf("%d-%s", year+1, endDay)
  731. startDateTime, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  732. endDateTime, _ := time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  733. if startDateTime.Before(edbStartDateTime) {
  734. break
  735. }
  736. tmp := &data_manage.ChartRangeAnalysisDateDataItem{
  737. StartDate: startDateTime,
  738. EndDate: endDateTime,
  739. }
  740. dateList = append(dateList, tmp)
  741. }
  742. }
  743. // 根据日期,获取数据
  744. for _, v := range dateList {
  745. for _, vv := range dataList {
  746. dataTimeT, _ := time.ParseInLocation(utils.FormatDate, vv.DataTime, time.Local)
  747. if dataTimeT.After(v.StartDate) && dataTimeT.Before(v.EndDate) ||
  748. dataTimeT.Equal(v.StartDate) ||
  749. dataTimeT.Equal(v.EndDate) {
  750. v.DataList = append(v.DataList, vv)
  751. }
  752. }
  753. }
  754. // 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
  755. newDataList, err := HandleDataByCalculateType(dateList, dataList, req)
  756. if err != nil {
  757. return
  758. }
  759. if req.UnNormalDataDealType > 0 {
  760. switch req.UnNormalDataDealType { //0:不处理,1:剔除,2替换
  761. case 1:
  762. dealDataList := make([]*data_manage.EdbDataList, 0)
  763. for _, v := range newDataList {
  764. if !utils.CompareFloatByOpStrings(req.UnNormalDataConf.Formula, v.Value, req.UnNormalDataConf.Value) {
  765. dealDataList = append(dealDataList, v)
  766. }
  767. }
  768. case 2:
  769. for i, v := range newDataList {
  770. if utils.CompareFloatByOpStrings(req.UnNormalDataConf.Formula, v.Value, req.UnNormalDataConf.Value) {
  771. newDataList[i].Value = req.UnNormalDataConf.ReplaceValue
  772. }
  773. }
  774. }
  775. }
  776. if req.DataConvertType > 0 {
  777. // 数据转换类型 0不转, 1乘 2除 3对数
  778. switch req.DataConvertType {
  779. case 1:
  780. for i, v := range newDataList {
  781. val := v.Value * req.DataConvertConf.Value
  782. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  783. newDataList[i].Value = val
  784. }
  785. //item.MaxData = item.MaxData * v.ConvertValue
  786. //item.MinData = item.MinData * v.ConvertValue
  787. case 2:
  788. for i, v := range newDataList {
  789. val := v.Value / req.DataConvertConf.Value
  790. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  791. newDataList[i].Value = val
  792. }
  793. //item.MaxData = item.MaxData / v.ConvertValue
  794. //item.MinData = item.MinData / v.ConvertValue
  795. case 3:
  796. for i, v := range newDataList {
  797. if v.Value <= 0 {
  798. err = errors.New("数据中含有负数或0,无法对数运算")
  799. return
  800. }
  801. val := math.Log(v.Value) / math.Log(req.DataConvertConf.Value)
  802. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  803. newDataList[i].Value = val
  804. }
  805. //item.MaxData = math.Log(item.MaxData) / math.Log(v.ConvertValue)
  806. //item.MinData = math.Log(item.MinData) / math.Log(v.ConvertValue)
  807. }
  808. }
  809. newEdbInfoMapping.DataList = newDataList
  810. //时间处理
  811. return
  812. }
  813. // RollingCorrelationChartDataResp 滚动区间计算图表数据
  814. type RollingCorrelationChartDataResp struct {
  815. MaxData float64
  816. MinData float64
  817. LatestDate string `description:"真实数据的最后日期"`
  818. EdbInfoCategoryType int
  819. ChartColor string
  820. ChartStyle string
  821. PredictChartColor string
  822. ChartType int
  823. ChartWidth int
  824. EdbName string
  825. EdbNameEn string
  826. Unit string
  827. UnitEn string
  828. IsAxis int
  829. DataList []data_manage.EdbDataList
  830. }
  831. // ChartInfoRefresh 图表刷新
  832. func ChartInfoRefresh(chartInfoId int, uniqueCode string) (isAsync bool, err error) {
  833. var errMsg string
  834. defer func() {
  835. if err != nil {
  836. tips := fmt.Sprintf("CorrelationChartInfoRefresh: %s", errMsg)
  837. utils.FileLog.Info(tips)
  838. go alarm_msg.SendAlarmMsg(tips, 3)
  839. }
  840. }()
  841. var chartInfo *data_manage.ChartInfo
  842. if chartInfoId > 0 {
  843. chartInfo, err = data_manage.GetChartInfoById(chartInfoId)
  844. if err != nil {
  845. if err.Error() == utils.ErrNoRow() {
  846. errMsg = "图表已被删除,请刷新页面"
  847. err = errors.New(errMsg)
  848. return
  849. }
  850. errMsg = "获取图表信息失败"
  851. err = errors.New("获取图表信息失败,Err:" + err.Error())
  852. return
  853. }
  854. } else {
  855. chartInfo, err = data_manage.GetChartInfoByUniqueCode(uniqueCode)
  856. if err != nil {
  857. if err.Error() == utils.ErrNoRow() {
  858. errMsg = "图表已被删除,请刷新页面"
  859. err = errors.New(errMsg)
  860. return
  861. }
  862. errMsg = "获取图表信息失败"
  863. err = errors.New("获取图表信息失败,Err:" + err.Error())
  864. return
  865. }
  866. }
  867. // 1.刷新图表关联的指标
  868. mappings, e := data_manage.GetChartEdbMappingList(chartInfoId)
  869. if e != nil {
  870. utils.FileLog.Info(fmt.Sprintf("获取图表关联指标失败, err: %v", e))
  871. return
  872. }
  873. if len(mappings) == 0 {
  874. utils.FileLog.Info("图表无关联指标")
  875. return
  876. }
  877. var edbIds []int
  878. for _, v := range mappings {
  879. edbIds = append(edbIds, v.EdbInfoId)
  880. }
  881. if e, _ = data.EdbInfoRefreshAllFromBaseV3(edbIds, false, true, false); e != nil {
  882. utils.FileLog.Info(fmt.Sprintf("批量刷新指标失败, err: %v", e))
  883. return
  884. }
  885. // todo 重新计算
  886. // 区间计算图表配置校验
  887. var extraConfig data_manage.ChartRangeAnalysisExtraConf
  888. err = json.Unmarshal([]byte(chartInfo.ExtraConfig), &extraConfig)
  889. if err != nil {
  890. errMsg = "配置信息错误"
  891. err = errors.New(errMsg + ", Err: " + err.Error())
  892. return
  893. }
  894. chartSeriesOb := new(data_manage.FactorEdbSeriesChartMapping)
  895. seriesMappingItem, err := chartSeriesOb.GetItemByChartInfoId(chartInfo.ChartInfoId)
  896. if err != nil {
  897. if err.Error() == utils.ErrNoRow() {
  898. err = nil
  899. } else {
  900. err = fmt.Errorf("获取图表关联失败, Err: " + err.Error())
  901. return
  902. }
  903. } else {
  904. _, e = FactorEdbStepCalculateRange(seriesMappingItem.FactorEdbSeriesId, edbIds, extraConfig, true)
  905. if e != nil {
  906. err = fmt.Errorf("计算因子指标失败, Err: " + e.Error())
  907. return
  908. }
  909. }
  910. // 4.清除图表缓存
  911. key := utils.HZ_CHART_LIB_DETAIL + uniqueCode
  912. _ = utils.Rc.Delete(key)
  913. return
  914. }
  915. // AddChartInfo 添加图表
  916. func AddChartInfo(req data_manage.AddChartInfoReq, source int, sysUser *system.Admin, lang string) (chartInfo *data_manage.ChartInfo, err error, errMsg string, isSendEmail bool) {
  917. isSendEmail = true
  918. req.ChartName = strings.Trim(req.ChartName, " ")
  919. if req.ChartName == "" {
  920. errMsg = "请填写图表名称!"
  921. err = errors.New(errMsg)
  922. isSendEmail = false
  923. return
  924. }
  925. if req.ChartClassifyId <= 0 {
  926. errMsg = "分类参数错误!"
  927. err = errors.New(errMsg)
  928. isSendEmail = false
  929. return
  930. }
  931. // 区间计算图表配置校验
  932. var extraConfig data_manage.ChartRangeAnalysisExtraConf
  933. if req.ExtraConfig == `` {
  934. errMsg = "配置信息错误"
  935. err = errors.New(errMsg)
  936. return
  937. }
  938. err = json.Unmarshal([]byte(req.ExtraConfig), &extraConfig)
  939. if err != nil {
  940. errMsg = "配置信息错误"
  941. err = errors.New(errMsg + ", Err: " + err.Error())
  942. return
  943. }
  944. if len(req.ChartEdbInfoList) <= 0 {
  945. errMsg = "请选择指标"
  946. err = errors.New(errMsg)
  947. isSendEmail = false
  948. return
  949. }
  950. if len(req.ChartEdbInfoList) > 100 {
  951. errMsg = "添加指标总数量不得超过100"
  952. err = errors.New(errMsg)
  953. isSendEmail = false
  954. return
  955. }
  956. err, errMsg, isSendEmail = CheckChartRangeExtraConfig(extraConfig)
  957. if err != nil {
  958. return
  959. }
  960. chartClassify, err := data_manage.GetChartClassifyById(req.ChartClassifyId)
  961. if err != nil {
  962. if err.Error() == utils.ErrNoRow() {
  963. errMsg = "分类不存在"
  964. err = errors.New(errMsg)
  965. isSendEmail = false
  966. return
  967. }
  968. errMsg = "获取分类信息失败"
  969. err = errors.New("获取分类信息失败,Err:" + err.Error())
  970. return
  971. }
  972. if chartClassify == nil {
  973. errMsg = "分类不存在"
  974. err = errors.New(errMsg)
  975. isSendEmail = false
  976. return
  977. }
  978. var edbInfoIdArr []int
  979. for _, v := range req.ChartEdbInfoList {
  980. edbInfoId := v.EdbInfoId
  981. edbInfo, tmpErr := data_manage.GetEdbInfoById(edbInfoId)
  982. if tmpErr != nil {
  983. if tmpErr.Error() == utils.ErrNoRow() {
  984. errMsg = "指标不存在!"
  985. err = errors.New("指标不存在,edbInfoId:" + strconv.Itoa(edbInfoId))
  986. return
  987. } else {
  988. errMsg = "获取指标信息失败!"
  989. err = errors.New("获取图表的指标信息失败,Err:" + tmpErr.Error())
  990. return
  991. }
  992. }
  993. if edbInfo == nil {
  994. errMsg = "指标已被删除,请重新选择!"
  995. err = errors.New("指标不存在,ChartInfoId:" + strconv.Itoa(edbInfoId))
  996. return
  997. } else {
  998. if edbInfo.EdbInfoId <= 0 {
  999. errMsg = "指标已被删除,请重新选择!"
  1000. err = errors.New("指标不存在,ChartInfoId:" + strconv.Itoa(edbInfoId))
  1001. return
  1002. }
  1003. }
  1004. edbInfoIdArr = append(edbInfoIdArr, edbInfoId)
  1005. edbInfo.EdbNameSource = edbInfo.EdbName
  1006. }
  1007. sort.Ints(edbInfoIdArr)
  1008. var edbInfoIdArrStr []string
  1009. for _, v := range edbInfoIdArr {
  1010. edbInfoIdArrStr = append(edbInfoIdArrStr, strconv.Itoa(v))
  1011. }
  1012. edbInfoIdStr := strings.Join(edbInfoIdArrStr, ",")
  1013. var chartInfoId int
  1014. // 判断图表是否存在
  1015. {
  1016. var condition string
  1017. var pars []interface{}
  1018. switch lang {
  1019. case utils.EnLangVersion:
  1020. condition += " AND chart_name_en = ? AND source = ? "
  1021. default:
  1022. condition += " AND chart_name=? AND source = ? "
  1023. }
  1024. pars = append(pars, req.ChartName, source)
  1025. count, tmpErr := data_manage.GetChartInfoCountByCondition(condition, pars)
  1026. if tmpErr != nil {
  1027. errMsg = "判断图表名称是否存在失败"
  1028. err = errors.New("判断图表名称是否存在失败,Err:" + tmpErr.Error())
  1029. return
  1030. }
  1031. if count > 0 {
  1032. errMsg = "图表已存在,请重新填写"
  1033. err = errors.New(errMsg)
  1034. isSendEmail = false
  1035. return
  1036. }
  1037. }
  1038. disableVal := data.CheckIsDisableChart(edbInfoIdArr)
  1039. chartInfo = new(data_manage.ChartInfo)
  1040. chartInfo.ChartName = req.ChartName
  1041. chartInfo.ChartNameEn = req.ChartName
  1042. chartInfo.EdbInfoIds = edbInfoIdStr
  1043. chartInfo.ChartClassifyId = req.ChartClassifyId
  1044. chartInfo.SysUserId = sysUser.AdminId
  1045. chartInfo.SysUserRealName = sysUser.RealName
  1046. chartInfo.CreateTime = time.Now()
  1047. chartInfo.ModifyTime = time.Now()
  1048. chartInfo.IsSetName = 0
  1049. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1050. chartInfo.UniqueCode = utils.MD5(utils.CHART_PREFIX + "_" + timestamp)
  1051. chartInfo.ChartType = 1 // 区间计算图
  1052. chartInfo.Calendar = "公历"
  1053. chartInfo.DateType = req.DateType
  1054. chartInfo.StartDate = req.StartDate
  1055. chartInfo.EndDate = req.EndDate
  1056. chartInfo.StartYear = req.StartYear
  1057. chartInfo.SeasonStartDate = req.StartDate
  1058. chartInfo.SeasonEndDate = req.EndDate
  1059. chartInfo.LeftMin = req.LeftMin
  1060. chartInfo.LeftMax = req.LeftMax
  1061. chartInfo.RightMin = req.RightMin
  1062. chartInfo.RightMax = req.RightMax
  1063. chartInfo.Disabled = disableVal
  1064. chartInfo.Source = source
  1065. chartInfo.ChartThemeId = req.ChartThemeId
  1066. chartInfo.SourcesFrom = req.SourcesFrom
  1067. chartInfo.Instructions = req.Instructions
  1068. chartInfo.MarkersLines = req.MarkersLines
  1069. chartInfo.MarkersAreas = req.MarkersAreas
  1070. if req.ExtraConfig != "" {
  1071. chartInfo.ExtraConfig = req.ExtraConfig
  1072. }
  1073. // 指标信息
  1074. mapList := make([]*data_manage.ChartEdbMapping, 0)
  1075. for _, v := range req.ChartEdbInfoList {
  1076. // todo 指标名称修改
  1077. mapItem := new(data_manage.ChartEdbMapping)
  1078. mapItem.EdbInfoId = v.EdbInfoId
  1079. mapItem.EdbAliasName = v.EdbAliasName
  1080. mapItem.IsAxis = v.IsAxis
  1081. mapItem.CreateTime = time.Now()
  1082. mapItem.ModifyTime = time.Now()
  1083. edbTimestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1084. mapItem.UniqueCode = utils.MD5(utils.CHART_PREFIX + "_" + edbTimestamp + "_" + strconv.Itoa(v.EdbInfoId))
  1085. mapItem.IsOrder = false
  1086. mapItem.EdbInfoType = 1
  1087. mapItem.Source = utils.CHART_SOURCE_RANGE_ANALYSIS
  1088. mapList = append(mapList, mapItem)
  1089. }
  1090. // 新增图表和指标mapping
  1091. chartInfoId, e := data_manage.CreateRangeChartAndEdb(chartInfo, mapList)
  1092. if e != nil {
  1093. errMsg = "操作失败"
  1094. err = errors.New("新增区间计算图表失败, Err: " + e.Error())
  1095. return
  1096. }
  1097. // 把系列和图表绑定
  1098. if extraConfig.EdbInfoMode == 1 {
  1099. // 新增指标系列
  1100. err = AddSeries(edbInfoIdArr, chartInfoId, utils.CHART_SOURCE_RANGE_ANALYSIS, extraConfig, req.ExtraConfig)
  1101. if err != nil {
  1102. errMsg = "操作失败"
  1103. err = errors.New("新增区间计算图表失败, Err: " + err.Error())
  1104. return
  1105. }
  1106. //todo 如果保存失败是否要删除
  1107. }
  1108. /*//添加配置信息
  1109. multipleGraphConfig := &data_manage.MultipleGraphConfig{
  1110. //MultipleGraphConfigId: 0,
  1111. SysUserId: sysUser.AdminId,
  1112. SysUserRealName: sysUser.RealName,
  1113. ModifyTime: time.Now(),
  1114. CreateTime: time.Now(),
  1115. }
  1116. err = data_manage.AddMultipleGraphConfig(multipleGraphConfig)
  1117. if err != nil {
  1118. errMsg = "操作失败"
  1119. err = errors.New("新增区间计算图表配置失败, Err: " + err.Error())
  1120. return
  1121. }*/
  1122. if extraConfig.MultipleGraphConfigId > 0 {
  1123. multipleGraphConfigChartMapping := &data_manage.MultipleGraphConfigChartMapping{
  1124. //Id: 0,
  1125. MultipleGraphConfigId: extraConfig.MultipleGraphConfigId,
  1126. ChartInfoId: chartInfo.ChartInfoId,
  1127. Source: utils.CHART_SOURCE_RANGE_ANALYSIS,
  1128. ModifyTime: time.Now(),
  1129. CreateTime: time.Now(),
  1130. }
  1131. err = data_manage.AddMultipleGraphConfigChartMapping(multipleGraphConfigChartMapping)
  1132. if err != nil {
  1133. errMsg = "操作失败"
  1134. err = errors.New("新增区间计算图表和配置关联关系失败, Err: " + err.Error())
  1135. return
  1136. }
  1137. }
  1138. // 添加指标引用记录
  1139. _ = data.SaveChartEdbInfoRelation(edbInfoIdArr, chartInfo)
  1140. //添加es数据
  1141. go data.EsAddOrEditChartInfo(chartInfoId)
  1142. return
  1143. }
  1144. // EditChartInfo 编辑图表
  1145. func EditChartInfo(req data_manage.EditChartInfoReq, sysUser *system.Admin, lang string) (chartItem *data_manage.ChartInfo, err error, errMsg string, isSendEmail bool) {
  1146. isSendEmail = true
  1147. chartItem, err = data_manage.GetChartInfoById(req.ChartInfoId)
  1148. if err != nil {
  1149. if err.Error() == utils.ErrNoRow() {
  1150. errMsg = "图表已被删除,请刷新页面"
  1151. err = errors.New(errMsg)
  1152. isSendEmail = false
  1153. return
  1154. }
  1155. errMsg = "获取图表信息失败"
  1156. err = errors.New("获取图表信息失败,Err:" + err.Error())
  1157. return
  1158. }
  1159. if chartItem.Source != utils.CHART_SOURCE_RANGE_ANALYSIS {
  1160. errMsg = "该图不是区间计算图表!"
  1161. err = errors.New(errMsg)
  1162. isSendEmail = false
  1163. return
  1164. }
  1165. req.ChartName = strings.Trim(req.ChartName, " ")
  1166. if req.ChartClassifyId <= 0 {
  1167. errMsg = "分类参数错误!"
  1168. err = errors.New(errMsg)
  1169. isSendEmail = false
  1170. return
  1171. }
  1172. // 区间计算图表配置校验
  1173. var extraConfig data_manage.ChartRangeAnalysisExtraConf
  1174. if req.ExtraConfig == `` {
  1175. errMsg = "配置信息错误"
  1176. err = errors.New(errMsg)
  1177. return
  1178. }
  1179. err = json.Unmarshal([]byte(req.ExtraConfig), &extraConfig)
  1180. if err != nil {
  1181. errMsg = "配置信息错误"
  1182. err = errors.New(errMsg)
  1183. return
  1184. }
  1185. if len(req.ChartEdbInfoList) <= 0 {
  1186. errMsg = "请选择指标"
  1187. err = errors.New(errMsg)
  1188. isSendEmail = false
  1189. return
  1190. }
  1191. extraConfig.SeriesName = strings.TrimSpace(extraConfig.SeriesName)
  1192. if len(req.ChartEdbInfoList) > 100 {
  1193. errMsg = "添加指标总数量不得超过100"
  1194. err = errors.New(errMsg)
  1195. isSendEmail = false
  1196. return
  1197. }
  1198. err, errMsg, isSendEmail = CheckChartRangeExtraConfig(extraConfig)
  1199. if err != nil {
  1200. return
  1201. }
  1202. chartClassify, err := data_manage.GetChartClassifyById(req.ChartClassifyId)
  1203. if err != nil {
  1204. if err.Error() == utils.ErrNoRow() {
  1205. errMsg = "分类不存在"
  1206. err = errors.New(errMsg)
  1207. isSendEmail = false
  1208. return
  1209. }
  1210. errMsg = "获取分类信息失败"
  1211. err = errors.New("获取分类信息失败,Err:" + err.Error())
  1212. return
  1213. }
  1214. if chartClassify == nil {
  1215. errMsg = "分类不存在"
  1216. err = errors.New(errMsg)
  1217. isSendEmail = false
  1218. return
  1219. }
  1220. // 图表操作权限
  1221. ok := data.CheckOpChartPermission(sysUser, chartItem.SysUserId, true)
  1222. if !ok {
  1223. errMsg = "没有该图表的操作权限"
  1224. err = errors.New(errMsg)
  1225. isSendEmail = false
  1226. return
  1227. }
  1228. var edbInfoIdArr []int
  1229. for _, v := range req.ChartEdbInfoList {
  1230. edbInfoId := v.EdbInfoId
  1231. edbInfo, tmpErr := data_manage.GetEdbInfoById(edbInfoId)
  1232. if tmpErr != nil {
  1233. if tmpErr.Error() == utils.ErrNoRow() {
  1234. errMsg = "图表不存在!"
  1235. err = errors.New("图表指标不存在,ChartInfoId:" + strconv.Itoa(edbInfoId))
  1236. return
  1237. } else {
  1238. errMsg = "获取图表信息失败!"
  1239. err = errors.New("获取图表的指标信息失败,Err:" + tmpErr.Error())
  1240. return
  1241. }
  1242. }
  1243. if edbInfo == nil {
  1244. errMsg = "指标不存在!"
  1245. err = errors.New("指标不存在,ChartInfoId:" + strconv.Itoa(edbInfoId))
  1246. return
  1247. }
  1248. edbInfoIdArr = append(edbInfoIdArr, edbInfoId)
  1249. }
  1250. sort.Ints(edbInfoIdArr)
  1251. var edbInfoIdArrStr []string
  1252. for _, v := range edbInfoIdArr {
  1253. edbInfoIdArrStr = append(edbInfoIdArrStr, strconv.Itoa(v))
  1254. }
  1255. edbInfoIdStr := strings.Join(edbInfoIdArrStr, ",")
  1256. //判断图表是否存在
  1257. {
  1258. var condition string
  1259. var pars []interface{}
  1260. condition += " AND chart_info_id <> ? "
  1261. pars = append(pars, req.ChartInfoId)
  1262. switch lang {
  1263. case utils.EnLangVersion:
  1264. condition += " AND chart_name_en = ? AND source = ? "
  1265. default:
  1266. condition += " AND chart_name=? AND source = ? "
  1267. }
  1268. pars = append(pars, req.ChartName, chartItem.Source)
  1269. count, tmpErr := data_manage.GetChartInfoCountByCondition(condition, pars)
  1270. if tmpErr != nil {
  1271. errMsg = "判断图表名称是否存在失败"
  1272. err = errors.New("判断图表名称是否存在失败,Err:" + tmpErr.Error())
  1273. return
  1274. }
  1275. if count > 0 {
  1276. errMsg = "图表已存在,请重新填写"
  1277. err = errors.New(errMsg)
  1278. isSendEmail = false
  1279. return
  1280. }
  1281. }
  1282. // 修改图表与指标mapping
  1283. req.ChartType = 1
  1284. dateType := req.DateType
  1285. err = data_manage.EditRangeChartInfoAndMapping(&req, edbInfoIdStr, lang, "公历", dateType, 0, ``)
  1286. if err != nil {
  1287. errMsg = "保存失败"
  1288. err = errors.New("保存失败,Err:" + err.Error())
  1289. return
  1290. }
  1291. addSeries := false
  1292. chartSeriesOb := new(data_manage.FactorEdbSeriesChartMapping)
  1293. seriesMappingItem, err := chartSeriesOb.GetItemByChartInfoId(chartItem.ChartInfoId)
  1294. if err != nil {
  1295. if err.Error() == utils.ErrNoRow() {
  1296. err = nil
  1297. addSeries = true
  1298. } else {
  1299. err = fmt.Errorf("获取图表关联失败, Err: " + err.Error())
  1300. return
  1301. }
  1302. }
  1303. if extraConfig.EdbInfoMode == 1 {
  1304. if addSeries {
  1305. // 新增指标系列
  1306. err = AddSeries(edbInfoIdArr, chartItem.ChartInfoId, utils.CHART_SOURCE_RANGE_ANALYSIS, extraConfig, req.ExtraConfig)
  1307. if err != nil {
  1308. errMsg = "操作失败"
  1309. err = errors.New("新增区间计算图表失败, Err: " + err.Error())
  1310. return
  1311. }
  1312. } else {
  1313. err = EditSeries(seriesMappingItem, edbInfoIdArr, extraConfig, req.ExtraConfig, true)
  1314. if err != nil {
  1315. errMsg = "保存失败"
  1316. err = errors.New("保存失败,Err:" + err.Error())
  1317. return
  1318. }
  1319. }
  1320. // todo 编辑失败处理
  1321. } else if extraConfig.EdbInfoMode == 0 {
  1322. if !addSeries {
  1323. // 删除相关的系列
  1324. factorSeriesOb := new(data_manage.FactorEdbSeries)
  1325. err = factorSeriesOb.RemoveSeriesAndMappingByFactorEdbSeriesId(seriesMappingItem)
  1326. if err != nil {
  1327. errMsg = "保存失败"
  1328. err = errors.New("保存失败,Err:" + err.Error())
  1329. return
  1330. }
  1331. }
  1332. }
  1333. resp := new(data_manage.AddChartInfoResp)
  1334. resp.ChartInfoId = chartItem.ChartInfoId
  1335. resp.UniqueCode = chartItem.UniqueCode
  1336. resp.ChartType = req.ChartType
  1337. // 添加指标引用记录
  1338. _ = data.SaveChartEdbInfoRelation(edbInfoIdArr, chartItem)
  1339. //添加es数据
  1340. go data.EsAddOrEditChartInfo(chartItem.ChartInfoId)
  1341. //修改my eta es数据
  1342. go data.EsAddOrEditMyChartInfoByChartInfoId(chartItem.ChartInfoId)
  1343. return
  1344. }
  1345. // CopyChartInfo 复制图表
  1346. 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) {
  1347. isSendEmail = true
  1348. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1349. chartInfo = &data_manage.ChartInfo{
  1350. ChartInfoId: 0,
  1351. ChartName: chartName,
  1352. ChartClassifyId: classifyId,
  1353. SysUserId: sysUser.AdminId,
  1354. SysUserRealName: sysUser.RealName,
  1355. UniqueCode: utils.MD5(utils.CHART_PREFIX + "_" + timestamp),
  1356. CreateTime: time.Now(),
  1357. ModifyTime: time.Now(),
  1358. DateType: oldChartInfo.DateType,
  1359. StartDate: oldChartInfo.StartDate,
  1360. EndDate: oldChartInfo.EndDate,
  1361. IsSetName: oldChartInfo.IsSetName,
  1362. EdbInfoIds: oldChartInfo.EdbInfoIds,
  1363. ChartType: oldChartInfo.ChartType,
  1364. Calendar: oldChartInfo.Calendar,
  1365. SeasonStartDate: oldChartInfo.SeasonStartDate,
  1366. SeasonEndDate: oldChartInfo.SeasonEndDate,
  1367. ChartImage: oldChartInfo.ChartImage,
  1368. BarConfig: oldChartInfo.BarConfig,
  1369. //Sort: sort,
  1370. LeftMin: oldChartInfo.LeftMin,
  1371. LeftMax: oldChartInfo.LeftMax,
  1372. RightMin: oldChartInfo.RightMin,
  1373. RightMax: oldChartInfo.RightMax,
  1374. Right2Min: oldChartInfo.Right2Min,
  1375. Right2Max: oldChartInfo.Right2Max,
  1376. Disabled: oldChartInfo.Disabled,
  1377. Source: oldChartInfo.Source,
  1378. ExtraConfig: oldChartInfo.ExtraConfig,
  1379. SeasonExtraConfig: oldChartInfo.SeasonExtraConfig,
  1380. StartYear: oldChartInfo.StartYear,
  1381. Unit: oldChartInfo.Unit,
  1382. UnitEn: oldChartInfo.UnitEn,
  1383. ChartThemeId: oldChartInfo.ChartThemeId,
  1384. SourcesFrom: oldChartInfo.SourcesFrom,
  1385. Instructions: oldChartInfo.Instructions,
  1386. MarkersLines: oldChartInfo.MarkersLines,
  1387. MarkersAreas: oldChartInfo.MarkersAreas,
  1388. }
  1389. newId, err := data_manage.AddChartInfo(chartInfo)
  1390. if err != nil {
  1391. err = fmt.Errorf("保存失败,Err:%s", err.Error())
  1392. return
  1393. }
  1394. chartInfo.ChartInfoId = int(newId)
  1395. edbInfoMappingList, err := data_manage.GetChartEdbMappingList(oldChartInfo.ChartInfoId)
  1396. if err != nil {
  1397. err = fmt.Errorf("获取图表,指标信息失败,Err:" + err.Error())
  1398. return
  1399. }
  1400. // 添加图表与指标的关联关系
  1401. edbInfoIdArr := make([]int, 0)
  1402. {
  1403. mapList := make([]*data_manage.ChartEdbMapping, 0)
  1404. for _, v := range edbInfoMappingList {
  1405. edbInfoIdArr = append(edbInfoIdArr, v.EdbInfoId)
  1406. timestamp = strconv.FormatInt(time.Now().UnixNano(), 10)
  1407. mapItem := &data_manage.ChartEdbMapping{
  1408. //ChartEdbMappingId: 0,
  1409. ChartInfoId: chartInfo.ChartInfoId,
  1410. EdbInfoId: v.EdbInfoId,
  1411. CreateTime: time.Now(),
  1412. ModifyTime: time.Now(),
  1413. UniqueCode: utils.MD5(utils.CHART_PREFIX + "_" + timestamp),
  1414. MaxData: v.MaxData,
  1415. MinData: v.MinData,
  1416. IsOrder: v.IsOrder,
  1417. IsAxis: v.IsAxis,
  1418. EdbInfoType: v.EdbInfoType,
  1419. LeadValue: v.LeadValue,
  1420. LeadUnit: v.LeadUnit,
  1421. ChartStyle: v.ChartStyle,
  1422. ChartColor: v.ChartColor,
  1423. ChartWidth: v.ChartWidth,
  1424. Source: v.Source,
  1425. EdbAliasName: v.EdbAliasName,
  1426. IsConvert: v.IsConvert,
  1427. ConvertType: v.ConvertType,
  1428. ConvertValue: v.ConvertValue,
  1429. ConvertUnit: v.ConvertEnUnit,
  1430. ConvertEnUnit: v.ConvertEnUnit,
  1431. }
  1432. mapList = append(mapList, mapItem)
  1433. }
  1434. err = data_manage.AddChartEdbMapping(mapList)
  1435. if err != nil {
  1436. err = fmt.Errorf("保存失败,Err:%s", err.Error())
  1437. return
  1438. }
  1439. }
  1440. // 添加系列和图表映射
  1441. chartSeriesOb := new(data_manage.FactorEdbSeriesChartMapping)
  1442. _, err = chartSeriesOb.GetItemByChartInfoId(oldChartInfo.ChartInfoId)
  1443. if err != nil {
  1444. if err.Error() == utils.ErrNoRow() {
  1445. err = nil
  1446. } else {
  1447. err = fmt.Errorf("获取图表关联失败, Err: " + err.Error())
  1448. return
  1449. }
  1450. } else {
  1451. // 新增指标系列
  1452. // 区间计算图表配置校验
  1453. var extraConfig data_manage.ChartRangeAnalysisExtraConf
  1454. err = json.Unmarshal([]byte(chartInfo.ExtraConfig), &extraConfig)
  1455. if err != nil {
  1456. errMsg = "配置信息错误"
  1457. err = errors.New(errMsg + ", Err: " + err.Error())
  1458. return
  1459. }
  1460. err = AddSeries(edbInfoIdArr, chartInfo.ChartInfoId, utils.CHART_SOURCE_RANGE_ANALYSIS, extraConfig, chartInfo.ExtraConfig)
  1461. if err != nil {
  1462. errMsg = "操作失败"
  1463. err = errors.New("新增区间计算图表失败, Err: " + err.Error())
  1464. return
  1465. }
  1466. }
  1467. //添加es数据
  1468. go data.EsAddOrEditChartInfo(chartInfo.ChartInfoId)
  1469. return
  1470. }
  1471. /*
  1472. // CalculateCorrelation 计算区间计算-获取x轴和y轴
  1473. func CalculateCorrelation(leadValue int, leadUnit, frequencyA, frequencyB string, dataListA, dataListB []*data_manage.EdbDataList) (xEdbIdValue []int, yDataList []data_manage.YData, err error) {
  1474. xData := make([]int, 0)
  1475. yData := make([]float64, 0)
  1476. if leadValue == 0 {
  1477. xData = append(xData, 0)
  1478. }
  1479. if leadValue > 0 {
  1480. leadMin := 0 - leadValue
  1481. xLen := 2*leadValue + 1
  1482. for i := 0; i < xLen; i++ {
  1483. n := leadMin + i
  1484. xData = append(xData, n)
  1485. }
  1486. }
  1487. // 计算窗口,不包含第一天
  1488. //startDateTime, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  1489. //startDate = startDateTime.AddDate(0, 0, 1).Format(utils.FormatDate)
  1490. //// 2023-03-02 时间序列始终以指标B为基准, 始终是A进行平移
  1491. //baseEdbInfo := edbInfoMappingB
  1492. //changeEdbInfo := edbInfoMappingA
  1493. // 2023-03-17 时间序列始终以指标A为基准, 始终是B进行平移
  1494. //baseEdbInfo := edbInfoMappingA
  1495. //changeEdbInfo := edbInfoMappingB
  1496. // 获取时间基准指标在时间区间内的值
  1497. //aDataList := make([]*data_manage.EdbDataList, 0)
  1498. //switch baseEdbInfo.EdbInfoCategoryType {
  1499. //case 0:
  1500. // aDataList, err = data_manage.GetEdbDataList(baseEdbInfo.Source, baseEdbInfo.SubSource, baseEdbInfo.EdbInfoId, startDate, endDate)
  1501. //case 1:
  1502. // _, aDataList, _, _, err, _ = data.GetPredictDataListByPredictEdbInfoId(baseEdbInfo.EdbInfoId, startDate, endDate, false)
  1503. //default:
  1504. // err = errors.New("指标base类型异常")
  1505. // return
  1506. //}
  1507. //
  1508. //// 获取变频指标所有日期的值, 插值法完善数据
  1509. //bDataList := make([]*data_manage.EdbDataList, 0)
  1510. //switch changeEdbInfo.EdbInfoCategoryType {
  1511. //case 0:
  1512. // bDataList, err = data_manage.GetEdbDataList(changeEdbInfo.Source, changeEdbInfo.SubSource, changeEdbInfo.EdbInfoId, "", "")
  1513. //case 1:
  1514. // _, bDataList, _, _, err, _ = data.GetPredictDataListByPredictEdbInfoId(changeEdbInfo.EdbInfoId, "", "", false)
  1515. //default:
  1516. // err = errors.New("指标change类型异常")
  1517. // return
  1518. //}
  1519. //changeDataMap := make(map[string]float64)
  1520. //newChangeDataList, e := HandleDataByLinearRegression(bDataList, changeDataMap)
  1521. //if e != nil {
  1522. // err = fmt.Errorf("获取变频指标插值法Map失败, Err: %s", e.Error())
  1523. // return
  1524. //}
  1525. // 2023-03-17 时间序列始终以指标A为基准, 始终是B进行平移
  1526. baseDataList := make([]*data_manage.EdbDataList, 0)
  1527. baseDataMap := make(map[string]float64)
  1528. changeDataList := make([]*data_manage.EdbDataList, 0)
  1529. changeDataMap := make(map[string]float64)
  1530. // 先把低频指标升频为高频
  1531. {
  1532. frequencyIntMap := map[string]int{
  1533. "日度": 1,
  1534. "周度": 2,
  1535. "旬度": 3,
  1536. "月度": 4,
  1537. "季度": 5,
  1538. "年度": 6,
  1539. }
  1540. // 如果A指标是高频,那么就需要对B指标进行升频
  1541. if frequencyIntMap[frequencyA] < frequencyIntMap[frequencyB] {
  1542. tmpNewChangeDataList, e := HandleDataByLinearRegression(dataListB, changeDataMap)
  1543. if e != nil {
  1544. err = fmt.Errorf("获取变频指标插值法Map失败, Err: %s", e.Error())
  1545. return
  1546. }
  1547. changeDataList = tmpNewChangeDataList
  1548. baseDataList = dataListA
  1549. for _, v := range baseDataList {
  1550. baseDataMap[v.DataTime] = v.Value
  1551. }
  1552. } else if frequencyIntMap[frequencyA] > frequencyIntMap[frequencyB] {
  1553. // 如果B指标是高频,那么就需要对A指标进行升频
  1554. tmpNewChangeDataList, e := HandleDataByLinearRegression(dataListA, baseDataMap)
  1555. if e != nil {
  1556. err = fmt.Errorf("获取变频指标插值法Map失败, Err: %s", e.Error())
  1557. return
  1558. }
  1559. baseDataList = tmpNewChangeDataList
  1560. changeDataList = dataListB
  1561. for _, v := range changeDataList {
  1562. changeDataMap[v.DataTime] = v.Value
  1563. }
  1564. } else {
  1565. baseDataList = dataListA
  1566. for _, v := range baseDataList {
  1567. baseDataMap[v.DataTime] = v.Value
  1568. }
  1569. changeDataList = dataListB
  1570. for _, v := range changeDataList {
  1571. changeDataMap[v.DataTime] = v.Value
  1572. }
  1573. }
  1574. }
  1575. // 计算不领先也不滞后时的相关系数
  1576. baseCalculateData := make([]float64, 0)
  1577. baseDataTimeArr := make([]string, 0)
  1578. for i := range baseDataList {
  1579. baseDataTimeArr = append(baseDataTimeArr, baseDataList[i].DataTime)
  1580. baseCalculateData = append(baseCalculateData, baseDataList[i].Value)
  1581. }
  1582. //zeroBaseData := make([]float64, 0)
  1583. //zeroCalculateData := make([]float64, 0)
  1584. //for i := range baseDataTimeArr {
  1585. // tmpBaseVal, ok1 := baseDataMap[baseDataTimeArr[i]]
  1586. // tmpCalculateVal, ok2 := changeDataMap[baseDataTimeArr[i]]
  1587. // if ok1 && ok2 {
  1588. // zeroBaseData = append(zeroBaseData, tmpBaseVal)
  1589. // zeroCalculateData = append(zeroCalculateData, tmpCalculateVal)
  1590. // }
  1591. //}
  1592. //if len(zeroBaseData) != len(zeroCalculateData) {
  1593. // err = fmt.Errorf("相关系数两组序列元素数不一致, %d-%d", len(baseCalculateData), len(zeroCalculateData))
  1594. // return
  1595. //}
  1596. //zeroRatio := utils.CalculateCorrelationByIntArr(zeroBaseData, zeroCalculateData)
  1597. //if leadValue == 0 {
  1598. // yData = append(yData, zeroRatio)
  1599. //}
  1600. // 计算领先/滞后N期
  1601. if leadValue > 0 {
  1602. // 平移变频指标领先/滞后的日期(单位天)
  1603. moveUnitDays := utils.FrequencyDaysMap[leadUnit]
  1604. for i := range xData {
  1605. //if xData[i] == 0 {
  1606. // yData = append(yData, zeroRatio)
  1607. // continue
  1608. //}
  1609. xCalculateData := make([]float64, 0)
  1610. yCalculateData := make([]float64, 0)
  1611. // 平移指定天数
  1612. mDays := int(moveUnitDays) * xData[i]
  1613. _, dMap := MoveDataDaysToNewDataList(changeDataList, mDays)
  1614. // 取出对应的基准日期的值
  1615. for i2 := range baseDataTimeArr {
  1616. tmpDate := baseDataTimeArr[i2]
  1617. if yVal, ok := dMap[tmpDate]; ok {
  1618. xCalculateData = append(xCalculateData, baseCalculateData[i2])
  1619. yCalculateData = append(yCalculateData, yVal)
  1620. }
  1621. }
  1622. if len(yCalculateData) <= 0 {
  1623. //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))
  1624. //return
  1625. // 领先滞后后,没有可以计算的数据了
  1626. continue
  1627. }
  1628. // 公式计算出领先/滞后频度对应点的区间计算系数
  1629. ratio := utils.CalculateCorrelationByIntArr(xCalculateData, yCalculateData)
  1630. yData = append(yData, ratio)
  1631. }
  1632. }
  1633. xEdbIdValue = xData
  1634. yDataList = make([]data_manage.YData, 0)
  1635. yDate := "0000-00-00"
  1636. yDataList = append(yDataList, data_manage.YData{
  1637. Date: yDate,
  1638. Value: yData,
  1639. })
  1640. return
  1641. }
  1642. // GetFactorChartDataByChartId 获取多因子区间计算图表数据
  1643. func GetFactorChartDataByChartId(chartInfoId int, extraConfig string) (xEdbIdValue []int, yDataList []data_manage.YData, err error) {
  1644. if chartInfoId <= 0 {
  1645. return
  1646. }
  1647. // 指标对应的图例
  1648. extra := new(data_manage.CorrelationChartInfoExtraConfig)
  1649. if extraConfig != "" {
  1650. if e := json.Unmarshal([]byte(extraConfig), extra); e != nil {
  1651. err = fmt.Errorf("解析图表额外配置失败, err: %v", e)
  1652. return
  1653. }
  1654. }
  1655. legends := make(map[string]*data_manage.CorrelationChartLegend)
  1656. if extra != nil {
  1657. for _, v := range extra.LegendConfig {
  1658. s := fmt.Sprintf("%d-%d", v.SeriesId, v.EdbInfoId)
  1659. legends[s] = v
  1660. }
  1661. }
  1662. // 获取图表引用到的系列指标
  1663. chartMappingOb := new(data_manage.FactorEdbSeriesChartMapping)
  1664. cond := fmt.Sprintf(" AND %s = ? AND %s = 1", chartMappingOb.Cols().ChartInfoId, chartMappingOb.Cols().EdbUsed)
  1665. pars := make([]interface{}, 0)
  1666. pars = append(pars, chartInfoId)
  1667. chartMappings, e := chartMappingOb.GetItemsByCondition(cond, pars, []string{}, "")
  1668. if e != nil {
  1669. err = fmt.Errorf("获取图表引用系列指标失败")
  1670. return
  1671. }
  1672. // 取出计算结果
  1673. yDataList = make([]data_manage.YData, 0)
  1674. yDate := "0000-00-00"
  1675. for k, m := range chartMappings {
  1676. var values []data_manage.FactorEdbSeriesCorrelationMatrixValues
  1677. if m.CalculateData != "" {
  1678. e = json.Unmarshal([]byte(m.CalculateData), &values)
  1679. if e != nil {
  1680. err = fmt.Errorf("系列指标计算数据有误, err: %v", e)
  1681. return
  1682. }
  1683. }
  1684. var y []float64
  1685. for _, v := range values {
  1686. if k == 0 {
  1687. xEdbIdValue = append(xEdbIdValue, v.XData)
  1688. }
  1689. y = append(y, v.YData)
  1690. }
  1691. var yData data_manage.YData
  1692. yData.Date = yDate
  1693. yData.Value = y
  1694. yData.SeriesEdb.SeriesId = m.FactorEdbSeriesId
  1695. yData.SeriesEdb.EdbInfoId = m.EdbInfoId
  1696. // 图例
  1697. s := fmt.Sprintf("%d-%d", m.FactorEdbSeriesId, m.EdbInfoId)
  1698. legend := legends[s]
  1699. if legend != nil {
  1700. yData.Name = legend.LegendName
  1701. yData.Color = legend.Color
  1702. }
  1703. yDataList = append(yDataList, yData)
  1704. }
  1705. return
  1706. }
  1707. // FormatChartEdbInfoMappings 补充指标信息
  1708. func FormatChartEdbInfoMappings(chartInfoId int, mappings []*data_manage.ChartEdbInfoMapping) (edbList []*data_manage.ChartEdbInfoMapping, err error) {
  1709. edbList = make([]*data_manage.ChartEdbInfoMapping, 0)
  1710. if len(mappings) == 0 {
  1711. return
  1712. }
  1713. for _, v := range mappings {
  1714. if chartInfoId <= 0 {
  1715. v.IsAxis = 1
  1716. v.LeadValue = 0
  1717. v.LeadUnit = ""
  1718. v.ChartEdbMappingId = 0
  1719. v.ChartInfoId = 0
  1720. v.IsOrder = false
  1721. v.EdbInfoType = 1
  1722. v.ChartStyle = ""
  1723. v.ChartColor = ""
  1724. v.ChartWidth = 0
  1725. } else {
  1726. v.LeadUnitEn = data.GetLeadUnitEn(v.LeadUnit)
  1727. v.LeadUnitEn = data.GetLeadUnitEn(v.LeadUnit)
  1728. }
  1729. v.FrequencyEn = data.GetFrequencyEn(v.Frequency)
  1730. if v.Unit == `无` {
  1731. v.Unit = ``
  1732. }
  1733. edbList = append(edbList, v)
  1734. }
  1735. return
  1736. }*/
  1737. func GetEdbDateByMoveForward(startDate string, moveForward int, edbDataList []*data_manage.EdbDataList) (date string) {
  1738. // 根据日期进行排序
  1739. index := 0
  1740. for _, v := range edbDataList {
  1741. if v.DataTime == startDate {
  1742. index += 1
  1743. continue
  1744. }
  1745. if index >= moveForward {
  1746. date = v.DataTime
  1747. break
  1748. }
  1749. if index > 0 {
  1750. index += 1
  1751. }
  1752. }
  1753. return
  1754. }
  1755. // HandleEdbDateChange 处理日期变换
  1756. func HandleEdbDateChange(date string, dateChange []*data_manage.EdbDateChangeConf) (newDate string, err error) {
  1757. newDate = date
  1758. if newDate != "" {
  1759. if len(dateChange) > 0 {
  1760. var dateTime time.Time
  1761. dateTime, err = time.ParseInLocation(utils.FormatDate, newDate, time.Local)
  1762. if err != nil {
  1763. err = fmt.Errorf("日期解析失败: %s", err.Error())
  1764. return
  1765. }
  1766. for _, v := range dateChange {
  1767. if v.ChangeType == 1 {
  1768. dateTime = dateTime.AddDate(v.Year, v.Month, v.Day)
  1769. newDate = dateTime.Format(utils.FormatDate)
  1770. } else if v.ChangeType == 2 {
  1771. newDate, err, _ = utils.HandleSystemAppointDateT(dateTime, v.FrequencyDay, v.Frequency)
  1772. if err != nil {
  1773. return
  1774. }
  1775. dateTime, err = time.ParseInLocation(utils.FormatDate, newDate, time.Local)
  1776. if err != nil {
  1777. err = fmt.Errorf("日期解析失败: %s", err.Error())
  1778. return
  1779. }
  1780. }
  1781. }
  1782. }
  1783. }
  1784. return
  1785. }
  1786. // 添加指标系列和数据
  1787. func AddSeries(edbInfoIds []int, chartInfoId, chartInfoSource int, extraConf data_manage.ChartRangeAnalysisExtraConf, calculatesJson string) (err error) {
  1788. edbArr, e := data_manage.GetEdbInfoByIdList(edbInfoIds)
  1789. if e != nil {
  1790. err = fmt.Errorf("获取指标列表失败, Err: " + e.Error())
  1791. return
  1792. }
  1793. if len(edbArr) == 0 {
  1794. err = fmt.Errorf("获取指标列表失败, 指标不存在")
  1795. return
  1796. }
  1797. edbInfoType := edbArr[0].EdbInfoType
  1798. // 新增指标系列
  1799. seriesItem := new(data_manage.FactorEdbSeries)
  1800. seriesItem.SeriesName = extraConf.SeriesName
  1801. seriesItem.EdbInfoType = edbInfoType
  1802. seriesItem.CreateTime = time.Now().Local()
  1803. seriesItem.ModifyTime = time.Now().Local()
  1804. seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculating
  1805. seriesItem.CalculateStep = calculatesJson
  1806. mappings := make([]*data_manage.FactorEdbSeriesMapping, 0)
  1807. for _, v := range edbArr {
  1808. mappings = append(mappings, &data_manage.FactorEdbSeriesMapping{
  1809. EdbInfoId: v.EdbInfoId,
  1810. EdbCode: v.EdbCode,
  1811. CreateTime: time.Now().Local(),
  1812. ModifyTime: time.Now().Local(),
  1813. })
  1814. }
  1815. seriesId, e := seriesItem.CreateSeriesAndMapping(seriesItem, mappings)
  1816. if e != nil {
  1817. err = fmt.Errorf("新增因子指标系列失败, Err: " + e.Error())
  1818. return
  1819. }
  1820. // 图表关联-此处添加的chart_info_id=0
  1821. seriesChartMapping := new(data_manage.FactorEdbSeriesChartMapping)
  1822. seriesChartMapping.CalculateType = data_manage.FactorEdbSeriesChartCalculateTypeRange
  1823. //新增图表和指标的映射关系
  1824. seriesChartMapping.CalculateData = ""
  1825. seriesChartMapping.FactorEdbSeriesId = seriesId
  1826. seriesChartMapping.ChartInfoId = chartInfoId
  1827. seriesChartMapping.Source = chartInfoSource
  1828. seriesChartMapping.CreateTime = time.Now().Local()
  1829. seriesChartMapping.ModifyTime = time.Now().Local()
  1830. if e = seriesChartMapping.Create(); e != nil {
  1831. err = fmt.Errorf("新增图表关联失败, Err: " + e.Error())
  1832. return
  1833. }
  1834. // todo 计算指标数据并存储
  1835. _, e = FactorEdbStepCalculateRange(seriesId, edbInfoIds, extraConf, false)
  1836. if e != nil {
  1837. err = fmt.Errorf("计算因子指标失败, Err: " + e.Error())
  1838. return
  1839. }
  1840. // 更新系列计算状态
  1841. cols := []string{seriesItem.Cols().CalculateState, seriesItem.Cols().ModifyTime}
  1842. seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculated
  1843. seriesItem.ModifyTime = time.Now().Local()
  1844. if e = seriesItem.Update(cols); e != nil {
  1845. err = fmt.Errorf("更新因子指标系列计算状态失败, Err: " + e.Error())
  1846. return
  1847. }
  1848. return
  1849. }
  1850. func EditSeries(seriesMapping *data_manage.FactorEdbSeriesChartMapping, edbInfoIds []int, extraConf data_manage.ChartRangeAnalysisExtraConf, calculatesJson string, recalculate bool) (err error) {
  1851. seriesOb := new(data_manage.FactorEdbSeries)
  1852. seriesItem, e := seriesOb.GetItemById(seriesMapping.FactorEdbSeriesId)
  1853. if e != nil {
  1854. if e.Error() == utils.ErrNoRow() {
  1855. err = fmt.Errorf("因子指标系列不存在, Err: " + e.Error())
  1856. return
  1857. }
  1858. err = fmt.Errorf("获取因子指标系列失败, Err: " + e.Error())
  1859. return
  1860. }
  1861. edbArr, e := data_manage.GetEdbInfoByIdList(edbInfoIds)
  1862. if e != nil {
  1863. err = fmt.Errorf("获取指标列表失败, Err: " + e.Error())
  1864. return
  1865. }
  1866. if len(edbArr) == 0 {
  1867. err = fmt.Errorf("指标列表为空")
  1868. return
  1869. }
  1870. var calculateResp data_manage.FactorEdbSeriesStepCalculateResp
  1871. calculateResp.SeriesId = seriesItem.FactorEdbSeriesId
  1872. // 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
  1873. seriesItem.SeriesName = extraConf.SeriesName
  1874. seriesItem.EdbInfoType = edbArr[0].EdbInfoType
  1875. seriesItem.ModifyTime = time.Now().Local()
  1876. updateCols := []string{seriesOb.Cols().SeriesName, seriesOb.Cols().EdbInfoType, seriesOb.Cols().ModifyTime}
  1877. if !recalculate {
  1878. if e = seriesItem.Update(updateCols); e != nil {
  1879. err = fmt.Errorf("更新因子指标系列失败, Err: " + e.Error())
  1880. return
  1881. }
  1882. return
  1883. }
  1884. // 更新系列信息和指标关联
  1885. seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculating
  1886. seriesItem.CalculateStep = calculatesJson
  1887. updateCols = append(updateCols, seriesOb.Cols().CalculateState, seriesOb.Cols().CalculateStep)
  1888. mappings := make([]*data_manage.FactorEdbSeriesMapping, 0)
  1889. for _, v := range edbArr {
  1890. mappings = append(mappings, &data_manage.FactorEdbSeriesMapping{
  1891. EdbInfoId: v.EdbInfoId,
  1892. EdbCode: v.EdbCode,
  1893. CreateTime: time.Now().Local(),
  1894. ModifyTime: time.Now().Local(),
  1895. })
  1896. }
  1897. if e = seriesItem.EditSeriesAndMapping(seriesItem, mappings, updateCols); e != nil {
  1898. err = fmt.Errorf("更新因子指标系列信息失败, Err: %s", e.Error())
  1899. return
  1900. }
  1901. // todo 重新计算
  1902. _, e = FactorEdbStepCalculateRange(seriesItem.FactorEdbSeriesId, edbInfoIds, extraConf, false)
  1903. if e != nil {
  1904. err = fmt.Errorf("计算因子指标失败, Err: " + e.Error())
  1905. return
  1906. }
  1907. // 更新系列计算状态
  1908. cols := []string{seriesItem.Cols().CalculateState, seriesItem.Cols().ModifyTime}
  1909. seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculated
  1910. seriesItem.ModifyTime = time.Now().Local()
  1911. if e = seriesItem.Update(cols); e != nil {
  1912. err = fmt.Errorf("更新因子指标系列计算状态失败, Err: %s", e.Error())
  1913. return
  1914. }
  1915. return
  1916. }
  1917. // FactorEdbStepCalculateRange 因子指标-区间计算
  1918. func FactorEdbStepCalculateRange(seriesId int, edbArr []int, extraConf data_manage.ChartRangeAnalysisExtraConf, recalculate bool) (calculateResp data_manage.FactorEdbSeriesStepCalculateResp, err error) {
  1919. // todo 如果指标已保存,则用指标数据还是图表指标数据?
  1920. // 获取图表x轴y轴
  1921. defer func() {
  1922. if err != nil {
  1923. tips := fmt.Sprintf("StepCalculate计算失败, ErrMsg: %v", err)
  1924. fmt.Println(tips)
  1925. utils.FileLog.Info(tips)
  1926. go alarm_msg.SendAlarmMsg(tips, 3)
  1927. }
  1928. /*if len(calculateResp.Fail) > 0 {
  1929. tips := "StepCalculate计算失败, ErrMsg: "
  1930. for _, f := range calculateResp.Fail {
  1931. tips += fmt.Sprintf("code: %s, err: %s\n", f.EdbCode, f.ErrMsg)
  1932. }
  1933. fmt.Println(tips)
  1934. utils.FileLog.Info(tips)
  1935. go alarm_msg.SendAlarmMsg(tips, 2)
  1936. }*/
  1937. }()
  1938. edbInfoMappingList, e := data_manage.GetChartEdbMappingListByEdbInfoIdList(edbArr)
  1939. if e != nil {
  1940. err = fmt.Errorf("获取区间计算图表, A指标mapping信息失败, Err:%v", e)
  1941. return
  1942. }
  1943. _, _, _, err = GetChartDataByEdbInfoList(0, 0, 0, "", "", edbInfoMappingList, &extraConf)
  1944. if err != nil {
  1945. err = fmt.Errorf("获取图表数据失败, ErrMsg: %v", err)
  1946. return
  1947. }
  1948. // 重新计算-先清除原数据
  1949. calculateDataOb := new(data_manage.FactorEdbSeriesCalculateDataQjjs)
  1950. cond := fmt.Sprintf("%s = ?", calculateDataOb.Cols().FactorEdbSeriesId)
  1951. pars := make([]interface{}, 0)
  1952. pars = append(pars, seriesId)
  1953. if e := calculateDataOb.RemoveByCondition(cond, pars); e != nil {
  1954. err = fmt.Errorf("清除原数据失败, err: %v", e)
  1955. return
  1956. }
  1957. // 计算成功的保存结果
  1958. dataArr := make([]*data_manage.FactorEdbSeriesCalculateDataQjjs, 0)
  1959. for _, v := range edbInfoMappingList {
  1960. dataList := v.DataList.([]*data_manage.EdbDataList)
  1961. for _, dataItem := range dataList {
  1962. dataTime, _ := time.ParseInLocation(utils.FormatDate, dataItem.DataTime, time.Local)
  1963. dataArr = append(dataArr, &data_manage.FactorEdbSeriesCalculateDataQjjs{
  1964. FactorEdbSeriesId: seriesId,
  1965. EdbInfoId: v.EdbInfoId,
  1966. EdbCode: v.EdbCode,
  1967. DataTime: dataTime,
  1968. Value: dataItem.Value,
  1969. CreateTime: time.Now().Local(),
  1970. ModifyTime: time.Now().Local(),
  1971. DataTimestamp: dataItem.DataTimestamp,
  1972. })
  1973. }
  1974. }
  1975. if len(dataArr) == 0 {
  1976. err = fmt.Errorf("计算结果无数据, seriesId: %d", seriesId)
  1977. return
  1978. }
  1979. if e = calculateDataOb.CreateMulti(dataArr); e != nil {
  1980. err = fmt.Errorf("保存计算结果失败, seriesId: %d, err: %v, ", seriesId, e)
  1981. return
  1982. }
  1983. return
  1984. }
  1985. func CheckChartRangeExtraConfig(extraConfig data_manage.ChartRangeAnalysisExtraConf) (err error, errMsg string, isSendEmail bool) {
  1986. extraConfig.SeriesName = strings.TrimSpace(extraConfig.SeriesName)
  1987. if extraConfig.SeriesName == "" && extraConfig.EdbInfoMode == 1 {
  1988. errMsg = "请输入指标系列名称"
  1989. err = errors.New(errMsg)
  1990. isSendEmail = false
  1991. return
  1992. }
  1993. if extraConfig.CalculateType > 5 || extraConfig.CalculateType < 0 {
  1994. errMsg = "计算方式参数错误"
  1995. err = errors.New(errMsg)
  1996. isSendEmail = false
  1997. return
  1998. }
  1999. switch extraConfig.DateRangeType {
  2000. case 0:
  2001. case 1:
  2002. if len(extraConfig.ManualDateConf) == 0 {
  2003. errMsg = "请选择时间区间"
  2004. err = errors.New(errMsg)
  2005. return
  2006. }
  2007. // 先按开始时间排序
  2008. sort.Sort(data_manage.ChartRangeAnalysisManualDateConfList(extraConfig.ManualDateConf))
  2009. // 校验日期
  2010. // 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
  2011. // 2.时间区间不能重叠
  2012. for i := 1; i < len(extraConfig.ManualDateConf); i++ {
  2013. start1, e := time.Parse(utils.FormatDate, extraConfig.ManualDateConf[i-1].EndDate)
  2014. if e != nil {
  2015. err = e
  2016. errMsg = "截止日期格式有误"
  2017. return
  2018. }
  2019. start2, e := time.Parse(utils.FormatDate, extraConfig.ManualDateConf[i].EndDate)
  2020. if e != nil {
  2021. err = e
  2022. errMsg = "截止日期格式有误"
  2023. return
  2024. }
  2025. start3, e := time.Parse(utils.FormatDate, extraConfig.ManualDateConf[i].StartDate)
  2026. if e != nil {
  2027. err = e
  2028. errMsg = "截止日期格式有误"
  2029. return
  2030. }
  2031. // 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
  2032. if !start2.After(start1) || start3.Before(start1) {
  2033. errMsg = "日期区间存在重叠"
  2034. return
  2035. }
  2036. }
  2037. //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
  2038. case 2:
  2039. if extraConfig.YearDateConf.StartDay == "" || extraConfig.YearDateConf.EndDay == "" {
  2040. errMsg = "请选择时间区间"
  2041. return
  2042. }
  2043. if _, e := time.Parse(utils.FormatMonthDay, extraConfig.YearDateConf.StartDay); e != nil {
  2044. errMsg = "开始日期格式有误"
  2045. return
  2046. }
  2047. if _, e := time.Parse(utils.FormatMonthDay, extraConfig.YearDateConf.EndDay); e != nil {
  2048. errMsg = "结束日期格式有误"
  2049. return
  2050. }
  2051. }
  2052. return
  2053. }