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 {
  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 {
  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 {
  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. if baseVal == 0 {
  173. continue
  174. }
  175. val := (v.Value - baseVal) / baseVal
  176. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  177. newList = append(newList, &data_manage.EdbDataList{
  178. DataTime: v.DataTime,
  179. Value: val,
  180. DataTimestamp: v.DataTimestamp,
  181. })
  182. }
  183. }
  184. } else {
  185. for _, item := range originList {
  186. var baseVal float64
  187. for k, v := range item.DataList {
  188. if k == 0 {
  189. baseVal = v.Value
  190. if baseVal == 0 {
  191. break
  192. }
  193. }
  194. val := (v.Value - baseVal) / baseVal
  195. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  196. newList = append(newList, &data_manage.EdbDataList{
  197. DataTime: v.DataTime,
  198. Value: val,
  199. DataTimestamp: v.DataTimestamp,
  200. })
  201. }
  202. }
  203. }
  204. case 3: //复合增长率
  205. if req.DateRangeType == 0 {
  206. for _, item := range originList {
  207. for _, v := range item.DataList {
  208. var baseVal float64
  209. var baseDate string
  210. calDataList, e := GetAutoCalculateDateDataList(v.DataTime, originDataList, req)
  211. if e != nil {
  212. err = fmt.Errorf("获取区间数据失败:%s", e.Error())
  213. return
  214. }
  215. if len(calDataList) == 0 {
  216. continue
  217. }
  218. baseVal = calDataList[len(calDataList)-1].Value
  219. baseDate = calDataList[len(calDataList)-1].DataTime
  220. if v.DataTime == baseDate {
  221. continue
  222. }
  223. if baseVal == 0 {
  224. continue
  225. }
  226. baseDateT, e := time.ParseInLocation(utils.FormatDate, baseDate, time.Local)
  227. if e != nil {
  228. err = fmt.Errorf("time.ParseInLocation err: %v", e)
  229. return
  230. }
  231. tmpT, e := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
  232. if e != nil {
  233. err = fmt.Errorf("time.ParseInLocation err: %v", e)
  234. return
  235. }
  236. // 计算两个日期相差的天数
  237. diff := tmpT.Sub(baseDateT).Hours() / 24 / 365
  238. val := v.Value / baseVal
  239. val = math.Pow(val, 1/diff) - 1
  240. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  241. newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
  242. }
  243. }
  244. } else {
  245. for _, item := range originList {
  246. var baseVal float64
  247. var baseDate string
  248. for k, v := range item.DataList {
  249. if k == 0 {
  250. baseVal = v.Value
  251. baseDate = v.DataTime
  252. if baseVal == 0 {
  253. break
  254. }
  255. continue
  256. }
  257. baseDateT, e := time.ParseInLocation(utils.FormatDate, baseDate, time.Local)
  258. if e != nil {
  259. err = fmt.Errorf("time.ParseInLocation err: %v", e)
  260. return
  261. }
  262. tmpT, e := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
  263. if e != nil {
  264. err = fmt.Errorf("time.ParseInLocation err: %v", e)
  265. return
  266. }
  267. // 计算两个日期相差的天数
  268. diff := tmpT.Sub(baseDateT).Hours() / 24 / 365
  269. val := v.Value / baseVal
  270. val = math.Pow(val, 1/diff) - 1
  271. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  272. newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
  273. }
  274. }
  275. }
  276. case 4: //最大值
  277. var maxVal float64
  278. if req.DateRangeType == 0 {
  279. for _, item := range originList {
  280. for _, v := range item.DataList {
  281. calDataList, e := GetAutoCalculateDateDataList(v.DataTime, originDataList, req)
  282. if e != nil {
  283. err = fmt.Errorf("获取区间数据失败:%s", e.Error())
  284. return
  285. }
  286. for kk, vv := range calDataList {
  287. if kk == 0 {
  288. maxVal = vv.Value
  289. }
  290. if vv.Value > maxVal {
  291. maxVal = vv.Value
  292. }
  293. }
  294. val := maxVal
  295. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  296. newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
  297. }
  298. }
  299. } else {
  300. for _, item := range originList {
  301. for k, v := range item.DataList {
  302. if k == 0 {
  303. maxVal = v.Value
  304. }
  305. if v.Value > maxVal {
  306. maxVal = v.Value
  307. }
  308. val := maxVal
  309. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  310. newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
  311. }
  312. }
  313. }
  314. case 5: //最小值
  315. var minVal float64
  316. if req.DateRangeType == 0 {
  317. for _, item := range originList {
  318. for _, v := range item.DataList {
  319. calDataList, e := GetAutoCalculateDateDataList(v.DataTime, originDataList, req)
  320. if e != nil {
  321. err = fmt.Errorf("获取区间数据失败:%s", e.Error())
  322. return
  323. }
  324. for kk, vv := range calDataList {
  325. if kk == 0 {
  326. minVal = vv.Value
  327. }
  328. if vv.Value < minVal {
  329. minVal = vv.Value
  330. }
  331. }
  332. val := minVal
  333. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  334. newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
  335. }
  336. }
  337. } else {
  338. for _, item := range originList {
  339. for k, v := range item.DataList {
  340. if k == 0 {
  341. minVal = v.Value
  342. }
  343. if v.Value < minVal {
  344. minVal = v.Value
  345. }
  346. val := minVal
  347. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  348. newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
  349. }
  350. }
  351. }
  352. }
  353. return
  354. }
  355. // MoveDataDaysToNewDataList 平移指标数据生成新的数据序列
  356. func MoveDataDaysToNewDataList(dataList []*data_manage.EdbDataList, moveDay int) (newDataList []data_manage.EdbDataList, dateDataMap map[string]float64) {
  357. dateMap := make(map[time.Time]float64)
  358. var minDate, maxDate time.Time
  359. dateDataMap = make(map[string]float64)
  360. for _, v := range dataList {
  361. currDate, _ := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
  362. if minDate.IsZero() || currDate.Before(minDate) {
  363. minDate = currDate
  364. }
  365. if maxDate.IsZero() || currDate.After(maxDate) {
  366. maxDate = currDate
  367. }
  368. dateMap[currDate] = v.Value
  369. }
  370. // 处理领先、滞后数据
  371. newDateMap := make(map[time.Time]float64)
  372. for currDate, value := range dateMap {
  373. newDate := currDate.AddDate(0, 0, moveDay)
  374. newDateMap[newDate] = value
  375. }
  376. minDate = minDate.AddDate(0, 0, moveDay)
  377. maxDate = maxDate.AddDate(0, 0, moveDay)
  378. // 获取日期相差日
  379. dayNum := utils.GetTimeSubDay(minDate, maxDate)
  380. for i := 0; i <= dayNum; i++ {
  381. currDate := minDate.AddDate(0, 0, i)
  382. tmpValue, ok := newDateMap[currDate]
  383. if !ok {
  384. //找不到数据,那么就用前面的数据吧
  385. if len(newDataList)-1 < 0 {
  386. tmpValue = 0
  387. } else {
  388. tmpValue = newDataList[len(newDataList)-1].Value
  389. }
  390. }
  391. tmpData := data_manage.EdbDataList{
  392. DataTime: currDate.Format(utils.FormatDate),
  393. Value: tmpValue,
  394. }
  395. dateDataMap[tmpData.DataTime] = tmpData.Value
  396. newDataList = append(newDataList, tmpData)
  397. }
  398. return
  399. }
  400. // GetChartEdbInfoFormat 区间计算图表-获取指标信息
  401. func GetChartEdbInfoFormat(chartInfoId int, edbInfoMappingList []*data_manage.ChartEdbInfoMapping) (edbList []*data_manage.ChartEdbInfoMapping, err error) {
  402. edbList = make([]*data_manage.ChartEdbInfoMapping, 0)
  403. for _, edbInfoMapping := range edbInfoMappingList {
  404. if edbInfoMapping == nil {
  405. err = fmt.Errorf("指标信息有误")
  406. return
  407. }
  408. edbInfoMapping.FrequencyEn = data.GetFrequencyEn(edbInfoMapping.Frequency)
  409. if edbInfoMapping.Unit == `无` {
  410. edbInfoMapping.Unit = ``
  411. }
  412. if chartInfoId <= 0 {
  413. edbInfoMapping.IsAxis = 1
  414. edbInfoMapping.LeadValue = 0
  415. edbInfoMapping.LeadUnit = ""
  416. edbInfoMapping.ChartEdbMappingId = 0
  417. edbInfoMapping.ChartInfoId = 0
  418. edbInfoMapping.IsOrder = false
  419. edbInfoMapping.EdbInfoType = 1
  420. edbInfoMapping.ChartStyle = ""
  421. edbInfoMapping.ChartColor = ""
  422. edbInfoMapping.ChartWidth = 0
  423. } else {
  424. edbInfoMapping.LeadUnitEn = data.GetLeadUnitEn(edbInfoMapping.LeadUnit)
  425. }
  426. edbList = append(edbList, edbInfoMapping)
  427. }
  428. return
  429. }
  430. // GetChartDataByEdbInfoList 区间计算图表-根据指标信息获取x轴和y轴
  431. 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) {
  432. if chartInfoId > 0 && req.EdbInfoMode == 1 {
  433. edbList, xEdbIdValue, dataResp, err = GetChartDataByEdbInfoListBySeries(chartInfoId, dateType, startYear, startDate, endDate, edbInfoMappingList, req)
  434. return
  435. }
  436. for _, edbInfoMapping := range edbInfoMappingList {
  437. edbInfoMapping, err = getChartDataByEdbInfo(edbInfoMapping, req)
  438. if err != nil {
  439. return
  440. }
  441. dataList := edbInfoMapping.DataList.([]*data_manage.EdbDataList)
  442. // 处理上下限
  443. var maxData, minData float64
  444. if len(dataList) > 0 {
  445. maxData = dataList[0].Value
  446. minData = dataList[0].Value
  447. for _, v := range dataList {
  448. if v.Value > maxData {
  449. maxData = v.Value
  450. }
  451. if v.Value < minData {
  452. minData = v.Value
  453. }
  454. }
  455. }
  456. edbInfoMapping.MaxData = maxData
  457. edbInfoMapping.MinData = minData
  458. xEdbIdValue = append(xEdbIdValue, edbInfoMapping.EdbInfoId)
  459. }
  460. //根据时间类型来筛选最终的数据
  461. yearMax := 0
  462. if dateType == utils.DateTypeNYears {
  463. for _, v := range edbInfoMappingList {
  464. dataList := v.DataList.([]*data_manage.EdbDataList)
  465. if len(dataList) > 0 {
  466. latestDate := dataList[0].DataTime
  467. if latestDate != "" {
  468. lastDateT, tErr := time.Parse(utils.FormatDate, latestDate)
  469. if tErr != nil {
  470. err = fmt.Errorf("获取图表日期信息失败,Err:" + tErr.Error())
  471. return
  472. }
  473. if lastDateT.Year() > yearMax {
  474. yearMax = lastDateT.Year()
  475. }
  476. }
  477. }
  478. }
  479. }
  480. startDate, endDate = utils.GetDateByDateTypeV2(dateType, startDate, endDate, startYear, yearMax)
  481. if startDate != "" {
  482. for k, v := range edbInfoMappingList {
  483. var maxData, minData float64
  484. dataList := v.DataList.([]*data_manage.EdbDataList)
  485. newDataList := make([]*data_manage.EdbDataList, 0)
  486. if len(dataList) == 0 {
  487. newDataList = dataList
  488. } else {
  489. firstFlag := true
  490. for _, d := range dataList {
  491. if endDate != "" && d.DataTime > endDate {
  492. continue
  493. }
  494. if d.DataTime < startDate {
  495. continue
  496. }
  497. newDataList = append(newDataList, d)
  498. if firstFlag {
  499. maxData = d.Value
  500. minData = d.Value
  501. firstFlag = false
  502. } else {
  503. if d.Value > maxData {
  504. maxData = d.Value
  505. }
  506. if d.Value < minData {
  507. minData = d.Value
  508. }
  509. }
  510. }
  511. }
  512. edbInfoMappingList[k].DataList = newDataList
  513. edbInfoMappingList[k].MinData = minData
  514. edbInfoMappingList[k].MaxData = maxData
  515. }
  516. }
  517. dataResp = data_manage.ChartRangeAnalysisDataResp{ChartRangeAnalysisExtraConf: req}
  518. if req.MultipleGraphConfigId > 0 {
  519. multipleGraphConfigEdbMappingList, e := data_manage.GetMultipleGraphConfigEdbMappingListByIdAndSource(req.MultipleGraphConfigId, utils.CHART_SOURCE_RANGE_ANALYSIS)
  520. if e != nil && e.Error() != utils.ErrNoRow() {
  521. err = fmt.Errorf("获取区间计算图表, 指标信息失败, Err:" + e.Error())
  522. return
  523. }
  524. // 查询是否已经生成指标
  525. dataResp.ConfigEdbNum = len(multipleGraphConfigEdbMappingList)
  526. }
  527. edbList, err = GetChartEdbInfoFormat(chartInfoId, edbInfoMappingList)
  528. if err != nil {
  529. err = fmt.Errorf("获取区间计算图表, 完善指标信息失败, Err:" + err.Error())
  530. return
  531. }
  532. return
  533. }
  534. 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) {
  535. //查询seriesId
  536. chartSeriesOb := new(data_manage.FactorEdbSeriesChartMapping)
  537. seriesMappingItem, err := chartSeriesOb.GetItemByChartInfoId(chartInfoId)
  538. if err != nil {
  539. if err.Error() == utils.ErrNoRow() {
  540. err = fmt.Errorf("图表关联关系不存在")
  541. return
  542. } else {
  543. err = fmt.Errorf("获取图表关联失败, Err: " + err.Error())
  544. return
  545. }
  546. }
  547. //根据seriesId查询数据
  548. //并把数据放到dataList中
  549. for _, edbInfoMapping := range edbInfoMappingList {
  550. dataOb := new(data_manage.FactorEdbSeriesCalculateDataQjjs)
  551. dataList, e := dataOb.GetEdbDataList(seriesMappingItem.FactorEdbSeriesId, edbInfoMapping.EdbInfoId, startDate, endDate)
  552. if e != nil {
  553. err = e
  554. return
  555. }
  556. edbInfoMapping.DataList = dataList
  557. // 处理上下限
  558. var maxData, minData float64
  559. if len(dataList) > 0 {
  560. maxData = dataList[0].Value
  561. minData = dataList[0].Value
  562. for _, v := range dataList {
  563. if v.Value > maxData {
  564. maxData = v.Value
  565. }
  566. if v.Value < minData {
  567. minData = v.Value
  568. }
  569. }
  570. }
  571. edbInfoMapping.MaxData = maxData
  572. edbInfoMapping.MinData = minData
  573. xEdbIdValue = append(xEdbIdValue, edbInfoMapping.EdbInfoId)
  574. }
  575. yearMax := 0
  576. if dateType == utils.DateTypeNYears {
  577. for _, v := range edbInfoMappingList {
  578. dataList := v.DataList.([]*data_manage.EdbDataList)
  579. latestDate := dataList[0].DataTime
  580. if latestDate != "" {
  581. lastDateT, tErr := time.Parse(utils.FormatDate, latestDate)
  582. if tErr != nil {
  583. err = fmt.Errorf("获取图表日期信息失败,Err:" + tErr.Error())
  584. return
  585. }
  586. if lastDateT.Year() > yearMax {
  587. yearMax = lastDateT.Year()
  588. }
  589. }
  590. }
  591. }
  592. startDate, endDate = utils.GetDateByDateTypeV2(dateType, startDate, endDate, startYear, yearMax)
  593. if startDate != "" {
  594. for k, v := range edbInfoMappingList {
  595. var maxData, minData float64
  596. dataList := v.DataList.([]*data_manage.EdbDataList)
  597. newDataList := make([]*data_manage.EdbDataList, 0)
  598. if len(dataList) == 0 {
  599. newDataList = dataList
  600. } else {
  601. firstFlag := true
  602. for _, d := range dataList {
  603. if endDate != "" && d.DataTime > endDate {
  604. continue
  605. }
  606. if d.DataTime < startDate {
  607. continue
  608. }
  609. newDataList = append(newDataList, d)
  610. if firstFlag {
  611. maxData = d.Value
  612. minData = d.Value
  613. firstFlag = false
  614. } else {
  615. if d.Value > maxData {
  616. maxData = d.Value
  617. }
  618. if d.Value < minData {
  619. minData = d.Value
  620. }
  621. }
  622. }
  623. }
  624. edbInfoMappingList[k].DataList = newDataList
  625. edbInfoMappingList[k].MinData = minData
  626. edbInfoMappingList[k].MaxData = maxData
  627. }
  628. }
  629. dataResp = data_manage.ChartRangeAnalysisDataResp{ChartRangeAnalysisExtraConf: req, SeriesId: seriesMappingItem.FactorEdbSeriesId}
  630. // 查询配置关联关系
  631. if req.MultipleGraphConfigId > 0 {
  632. multipleGraphConfigEdbMappingList, e := data_manage.GetMultipleGraphConfigEdbMappingListByIdAndSource(req.MultipleGraphConfigId, utils.CHART_SOURCE_RANGE_ANALYSIS)
  633. if e != nil && e.Error() != utils.ErrNoRow() {
  634. err = fmt.Errorf("获取区间计算图表, 指标信息失败, Err:" + e.Error())
  635. return
  636. }
  637. // 查询是否已经生成指标
  638. dataResp.ConfigEdbNum = len(multipleGraphConfigEdbMappingList)
  639. }
  640. edbList, err = GetChartEdbInfoFormat(chartInfoId, edbInfoMappingList)
  641. if err != nil {
  642. err = fmt.Errorf("获取区间计算图表, 完善指标信息失败, Err:" + err.Error())
  643. return
  644. }
  645. return
  646. }
  647. // getChartDataByEdbInfo 区间计算图表-根据指标信息获取x轴和y轴
  648. func getChartDataByEdbInfo(edbInfoMapping *data_manage.ChartEdbInfoMapping, req *data_manage.ChartRangeAnalysisExtraConf) (newEdbInfoMapping *data_manage.ChartEdbInfoMapping, err error) {
  649. newEdbInfoMapping = edbInfoMapping
  650. // 指标的开始日期和结束日期
  651. edbStartDateTime, _ := time.ParseInLocation(utils.FormatDate, edbInfoMapping.StartDate, time.Local)
  652. //edbStartDate := edbStartDateTime.AddDate(0, 0, 1).Format(utils.FormatDate)
  653. edbEndDateTime, _ := time.ParseInLocation(utils.FormatDate, edbInfoMapping.EndDate, time.Local)
  654. edbEndDate := edbEndDateTime.AddDate(0, 0, 1).Format(utils.FormatDate)
  655. // 获取时间基准指标在时间区间内的值
  656. dataListTmp := make([]*data_manage.EdbDataList, 0)
  657. switch edbInfoMapping.EdbInfoCategoryType {
  658. case 0:
  659. dataListTmp, err = data_manage.GetEdbDataList(edbInfoMapping.Source, edbInfoMapping.SubSource, edbInfoMapping.EdbInfoId, "", "")
  660. case 1:
  661. _, dataListTmp, _, _, err, _ = data.GetPredictDataListByPredictEdbInfoId(edbInfoMapping.EdbInfoId, "", "", false)
  662. default:
  663. err = errors.New("指标base类型异常")
  664. return
  665. }
  666. var dataList data_manage.SortEdbDataList
  667. dataList = dataListTmp
  668. sort.Sort(dataList)
  669. dateList := make([]*data_manage.ChartRangeAnalysisDateDataItem, 0)
  670. switch req.DateRangeType {
  671. case 0:
  672. // 智能划分得到一个开始日期,和结束日期
  673. var startDateTime, endDateTime time.Time
  674. startDateTime = edbStartDateTime
  675. /*if req.AutoDateConf.IsAutoStartDate == 0 { //固定设置
  676. startDate := req.AutoDateConf.StartDate
  677. if startDate == "" {
  678. startDate = "2020-01-01"
  679. }
  680. startDateTime, _ = time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  681. } else {
  682. startConf := req.AutoDateConf.StartDateConf
  683. startDate := ""
  684. if startConf.BaseDateType == 0 { //
  685. startDate = edbEndDate
  686. } else if startConf.BaseDateType == 1 {
  687. startDate = time.Now().Format(utils.FormatDate)
  688. }
  689. if startConf.MoveForward > 0 {
  690. startDate = GetEdbDateByMoveForward(startConf.MoveForward, dataList)
  691. }
  692. if len(startConf.DateChange) > 0 {
  693. startDate, err = HandleEdbDateChange(startDate, startConf.DateChange)
  694. if err != nil {
  695. err = fmt.Errorf("智能划分开始日期处理失败:%s", err.Error())
  696. return
  697. }
  698. }
  699. startDateTime, _ = time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  700. }*/
  701. if req.AutoDateConf.IsAutoEndDate == 0 { //固定设置
  702. endDate := req.AutoDateConf.EndDate
  703. if endDate == "" {
  704. err = fmt.Errorf("智能划分截止日期处理失败:请输入截止日期")
  705. return
  706. }
  707. // todo 如果截止日期比指标日期还要大,则用指标的最新日期
  708. endDateTime, _ = time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  709. } else {
  710. endConf := req.AutoDateConf.EndDateConf
  711. endDate := edbEndDate
  712. if endConf.MoveForward > 0 {
  713. endDate = GetEdbDateByMoveForward(endDate, endConf.MoveForward, dataList)
  714. }
  715. if len(endConf.DateChange) > 0 {
  716. endDate, err = HandleEdbDateChange(endDate, endConf.DateChange)
  717. if err != nil {
  718. err = fmt.Errorf("智能划分结束日期处理失败:%s", err.Error())
  719. return
  720. }
  721. }
  722. endDateTime, _ = time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  723. }
  724. dateList = append(dateList, &data_manage.ChartRangeAnalysisDateDataItem{
  725. StartDate: startDateTime,
  726. EndDate: endDateTime})
  727. case 1:
  728. // 手工划分得到多个开始日期和结束日期(已排序)
  729. for _, v := range req.ManualDateConf {
  730. startDateT, _ := time.ParseInLocation(utils.FormatDate, v.StartDate, time.Local)
  731. endDateT, _ := time.ParseInLocation(utils.FormatDate, v.EndDate, time.Local)
  732. tmp := &data_manage.ChartRangeAnalysisDateDataItem{
  733. StartDate: startDateT,
  734. EndDate: endDateT,
  735. }
  736. dateList = append(dateList, tmp)
  737. }
  738. case 2:
  739. // 跨年划分得到多个开始日期和结束日期
  740. startYear := edbStartDateTime.Year()
  741. endYear := edbEndDateTime.Year()
  742. startDay := req.YearDateConf.StartDay
  743. endDay := req.YearDateConf.EndDay
  744. for year := startYear; year <= endYear; year++ {
  745. startDate := fmt.Sprintf("%d-%s", year, startDay)
  746. endDate := fmt.Sprintf("%d-%s", year+1, endDay)
  747. startDateTime, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  748. endDateTime, _ := time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  749. if startDateTime.Before(edbStartDateTime) {
  750. break
  751. }
  752. tmp := &data_manage.ChartRangeAnalysisDateDataItem{
  753. StartDate: startDateTime,
  754. EndDate: endDateTime,
  755. }
  756. dateList = append(dateList, tmp)
  757. }
  758. }
  759. // 根据日期,获取数据
  760. for _, v := range dateList {
  761. for _, vv := range dataList {
  762. dataTimeT, _ := time.ParseInLocation(utils.FormatDate, vv.DataTime, time.Local)
  763. if dataTimeT.After(v.StartDate) && dataTimeT.Before(v.EndDate) ||
  764. dataTimeT.Equal(v.StartDate) ||
  765. dataTimeT.Equal(v.EndDate) {
  766. v.DataList = append(v.DataList, vv)
  767. }
  768. }
  769. }
  770. // 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
  771. newDataList, err := HandleDataByCalculateType(dateList, dataList, req)
  772. if err != nil {
  773. return
  774. }
  775. if req.UnNormalDataDealType > 0 {
  776. switch req.UnNormalDataDealType { //0:不处理,1:剔除,2替换
  777. case 1:
  778. dealDataList := make([]*data_manage.EdbDataList, 0)
  779. for _, v := range newDataList {
  780. if !utils.CompareFloatByOpStrings(req.UnNormalDataConf.Formula, v.Value, req.UnNormalDataConf.Value) {
  781. dealDataList = append(dealDataList, v)
  782. }
  783. }
  784. case 2:
  785. for i, v := range newDataList {
  786. if utils.CompareFloatByOpStrings(req.UnNormalDataConf.Formula, v.Value, req.UnNormalDataConf.Value) {
  787. newDataList[i].Value = req.UnNormalDataConf.ReplaceValue
  788. }
  789. }
  790. }
  791. }
  792. if req.DataConvertType > 0 {
  793. // 数据转换类型 0不转, 1乘 2除 3对数
  794. switch req.DataConvertType {
  795. case 1:
  796. for i, v := range newDataList {
  797. val := v.Value * req.DataConvertConf.Value
  798. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  799. newDataList[i].Value = val
  800. }
  801. //item.MaxData = item.MaxData * v.ConvertValue
  802. //item.MinData = item.MinData * v.ConvertValue
  803. case 2:
  804. for i, v := range newDataList {
  805. val := v.Value / req.DataConvertConf.Value
  806. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  807. newDataList[i].Value = val
  808. }
  809. //item.MaxData = item.MaxData / v.ConvertValue
  810. //item.MinData = item.MinData / v.ConvertValue
  811. case 3:
  812. for i, v := range newDataList {
  813. if v.Value <= 0 {
  814. err = errors.New("数据中含有负数或0,无法对数运算")
  815. return
  816. }
  817. val := math.Log(v.Value) / math.Log(req.DataConvertConf.Value)
  818. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  819. newDataList[i].Value = val
  820. }
  821. //item.MaxData = math.Log(item.MaxData) / math.Log(v.ConvertValue)
  822. //item.MinData = math.Log(item.MinData) / math.Log(v.ConvertValue)
  823. }
  824. }
  825. newEdbInfoMapping.DataList = newDataList
  826. //时间处理
  827. return
  828. }
  829. // RollingCorrelationChartDataResp 滚动区间计算图表数据
  830. type RollingCorrelationChartDataResp struct {
  831. MaxData float64
  832. MinData float64
  833. LatestDate string `description:"真实数据的最后日期"`
  834. EdbInfoCategoryType int
  835. ChartColor string
  836. ChartStyle string
  837. PredictChartColor string
  838. ChartType int
  839. ChartWidth int
  840. EdbName string
  841. EdbNameEn string
  842. Unit string
  843. UnitEn string
  844. IsAxis int
  845. DataList []data_manage.EdbDataList
  846. }
  847. // ChartInfoRefresh 图表刷新
  848. func ChartInfoRefresh(chartInfoId int, uniqueCode string) (isAsync bool, err error) {
  849. var errMsg string
  850. defer func() {
  851. if err != nil {
  852. tips := fmt.Sprintf("CorrelationChartInfoRefresh: %s", errMsg)
  853. utils.FileLog.Info(tips)
  854. go alarm_msg.SendAlarmMsg(tips, 3)
  855. }
  856. }()
  857. var chartInfo *data_manage.ChartInfo
  858. if chartInfoId > 0 {
  859. chartInfo, err = data_manage.GetChartInfoById(chartInfoId)
  860. if err != nil {
  861. if err.Error() == utils.ErrNoRow() {
  862. errMsg = "图表已被删除,请刷新页面"
  863. err = errors.New(errMsg)
  864. return
  865. }
  866. errMsg = "获取图表信息失败"
  867. err = errors.New("获取图表信息失败,Err:" + err.Error())
  868. return
  869. }
  870. } else {
  871. chartInfo, err = data_manage.GetChartInfoByUniqueCode(uniqueCode)
  872. if err != nil {
  873. if err.Error() == utils.ErrNoRow() {
  874. errMsg = "图表已被删除,请刷新页面"
  875. err = errors.New(errMsg)
  876. return
  877. }
  878. errMsg = "获取图表信息失败"
  879. err = errors.New("获取图表信息失败,Err:" + err.Error())
  880. return
  881. }
  882. }
  883. // 1.刷新图表关联的指标
  884. mappings, e := data_manage.GetChartEdbMappingList(chartInfoId)
  885. if e != nil {
  886. utils.FileLog.Info(fmt.Sprintf("获取图表关联指标失败, err: %v", e))
  887. return
  888. }
  889. if len(mappings) == 0 {
  890. utils.FileLog.Info("图表无关联指标")
  891. return
  892. }
  893. var edbIds []int
  894. for _, v := range mappings {
  895. edbIds = append(edbIds, v.EdbInfoId)
  896. }
  897. if e, _ = data.EdbInfoRefreshAllFromBaseV3(edbIds, false, true, false); e != nil {
  898. utils.FileLog.Info(fmt.Sprintf("批量刷新指标失败, err: %v", e))
  899. return
  900. }
  901. // todo 重新计算
  902. // 区间计算图表配置校验
  903. var extraConfig data_manage.ChartRangeAnalysisExtraConf
  904. err = json.Unmarshal([]byte(chartInfo.ExtraConfig), &extraConfig)
  905. if err != nil {
  906. errMsg = "配置信息错误"
  907. err = errors.New(errMsg + ", Err: " + err.Error())
  908. return
  909. }
  910. chartSeriesOb := new(data_manage.FactorEdbSeriesChartMapping)
  911. seriesMappingItem, err := chartSeriesOb.GetItemByChartInfoId(chartInfo.ChartInfoId)
  912. if err != nil {
  913. if err.Error() == utils.ErrNoRow() {
  914. err = nil
  915. } else {
  916. err = fmt.Errorf("获取图表关联失败, Err: " + err.Error())
  917. return
  918. }
  919. } else {
  920. _, e = FactorEdbStepCalculateRange(seriesMappingItem.FactorEdbSeriesId, edbIds, extraConfig, true)
  921. if e != nil {
  922. err = fmt.Errorf("计算因子指标失败, Err: " + e.Error())
  923. return
  924. }
  925. }
  926. // 4.清除图表缓存
  927. key := utils.HZ_CHART_LIB_DETAIL + uniqueCode
  928. _ = utils.Rc.Delete(key)
  929. return
  930. }
  931. // AddChartInfo 添加图表
  932. func AddChartInfo(req data_manage.AddChartInfoReq, source int, sysUser *system.Admin, lang string) (chartInfo *data_manage.ChartInfo, err error, errMsg string, isSendEmail bool) {
  933. isSendEmail = true
  934. req.ChartName = strings.Trim(req.ChartName, " ")
  935. if req.ChartName == "" {
  936. errMsg = "请填写图表名称!"
  937. err = errors.New(errMsg)
  938. isSendEmail = false
  939. return
  940. }
  941. if req.ChartClassifyId <= 0 {
  942. errMsg = "分类参数错误!"
  943. err = errors.New(errMsg)
  944. isSendEmail = false
  945. return
  946. }
  947. // 区间计算图表配置校验
  948. var extraConfig data_manage.ChartRangeAnalysisExtraConf
  949. if req.ExtraConfig == `` {
  950. errMsg = "配置信息错误"
  951. err = errors.New(errMsg)
  952. return
  953. }
  954. err = json.Unmarshal([]byte(req.ExtraConfig), &extraConfig)
  955. if err != nil {
  956. errMsg = "配置信息错误"
  957. err = errors.New(errMsg + ", Err: " + err.Error())
  958. return
  959. }
  960. if len(req.ChartEdbInfoList) <= 0 {
  961. errMsg = "请选择指标"
  962. err = errors.New(errMsg)
  963. isSendEmail = false
  964. return
  965. }
  966. if len(req.ChartEdbInfoList) > 100 {
  967. errMsg = "添加指标总数量不得超过100"
  968. err = errors.New(errMsg)
  969. isSendEmail = false
  970. return
  971. }
  972. err, errMsg, isSendEmail = CheckChartRangeExtraConfig(extraConfig)
  973. if err != nil {
  974. return
  975. }
  976. chartClassify, err := data_manage.GetChartClassifyById(req.ChartClassifyId)
  977. if err != nil {
  978. if err.Error() == utils.ErrNoRow() {
  979. errMsg = "分类不存在"
  980. err = errors.New(errMsg)
  981. isSendEmail = false
  982. return
  983. }
  984. errMsg = "获取分类信息失败"
  985. err = errors.New("获取分类信息失败,Err:" + err.Error())
  986. return
  987. }
  988. if chartClassify == nil {
  989. errMsg = "分类不存在"
  990. err = errors.New(errMsg)
  991. isSendEmail = false
  992. return
  993. }
  994. var edbInfoIdArr []int
  995. for _, v := range req.ChartEdbInfoList {
  996. edbInfoId := v.EdbInfoId
  997. edbInfo, tmpErr := data_manage.GetEdbInfoById(edbInfoId)
  998. if tmpErr != nil {
  999. if tmpErr.Error() == utils.ErrNoRow() {
  1000. errMsg = "指标不存在!"
  1001. err = errors.New("指标不存在,edbInfoId:" + strconv.Itoa(edbInfoId))
  1002. return
  1003. } else {
  1004. errMsg = "获取指标信息失败!"
  1005. err = errors.New("获取图表的指标信息失败,Err:" + tmpErr.Error())
  1006. return
  1007. }
  1008. }
  1009. if edbInfo == nil {
  1010. errMsg = "指标已被删除,请重新选择!"
  1011. err = errors.New("指标不存在,ChartInfoId:" + strconv.Itoa(edbInfoId))
  1012. return
  1013. } else {
  1014. if edbInfo.EdbInfoId <= 0 {
  1015. errMsg = "指标已被删除,请重新选择!"
  1016. err = errors.New("指标不存在,ChartInfoId:" + strconv.Itoa(edbInfoId))
  1017. return
  1018. }
  1019. }
  1020. edbInfoIdArr = append(edbInfoIdArr, edbInfoId)
  1021. edbInfo.EdbNameSource = edbInfo.EdbName
  1022. }
  1023. sort.Ints(edbInfoIdArr)
  1024. var edbInfoIdArrStr []string
  1025. for _, v := range edbInfoIdArr {
  1026. edbInfoIdArrStr = append(edbInfoIdArrStr, strconv.Itoa(v))
  1027. }
  1028. edbInfoIdStr := strings.Join(edbInfoIdArrStr, ",")
  1029. var chartInfoId int
  1030. // 判断图表是否存在
  1031. {
  1032. var condition string
  1033. var pars []interface{}
  1034. switch lang {
  1035. case utils.EnLangVersion:
  1036. condition += " AND chart_name_en = ? AND source = ? "
  1037. default:
  1038. condition += " AND chart_name=? AND source = ? "
  1039. }
  1040. pars = append(pars, req.ChartName, source)
  1041. count, tmpErr := data_manage.GetChartInfoCountByCondition(condition, pars)
  1042. if tmpErr != nil {
  1043. errMsg = "判断图表名称是否存在失败"
  1044. err = errors.New("判断图表名称是否存在失败,Err:" + tmpErr.Error())
  1045. return
  1046. }
  1047. if count > 0 {
  1048. errMsg = "图表已存在,请重新填写"
  1049. err = errors.New(errMsg)
  1050. isSendEmail = false
  1051. return
  1052. }
  1053. }
  1054. disableVal := data.CheckIsDisableChart(edbInfoIdArr)
  1055. chartInfo = new(data_manage.ChartInfo)
  1056. chartInfo.ChartName = req.ChartName
  1057. chartInfo.ChartNameEn = req.ChartName
  1058. chartInfo.EdbInfoIds = edbInfoIdStr
  1059. chartInfo.ChartClassifyId = req.ChartClassifyId
  1060. chartInfo.SysUserId = sysUser.AdminId
  1061. chartInfo.SysUserRealName = sysUser.RealName
  1062. chartInfo.CreateTime = time.Now()
  1063. chartInfo.ModifyTime = time.Now()
  1064. chartInfo.IsSetName = 0
  1065. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1066. chartInfo.UniqueCode = utils.MD5(utils.CHART_PREFIX + "_" + timestamp)
  1067. chartInfo.ChartType = 1 // 区间计算图
  1068. chartInfo.Calendar = "公历"
  1069. chartInfo.DateType = 6
  1070. chartInfo.StartDate = req.StartDate
  1071. chartInfo.EndDate = req.EndDate
  1072. chartInfo.SeasonStartDate = req.StartDate
  1073. chartInfo.SeasonEndDate = req.EndDate
  1074. chartInfo.LeftMin = req.LeftMin
  1075. chartInfo.LeftMax = req.LeftMax
  1076. chartInfo.RightMin = req.RightMin
  1077. chartInfo.RightMax = req.RightMax
  1078. chartInfo.Disabled = disableVal
  1079. chartInfo.Source = source
  1080. chartInfo.ChartThemeId = req.ChartThemeId
  1081. chartInfo.SourcesFrom = req.SourcesFrom
  1082. chartInfo.Instructions = req.Instructions
  1083. chartInfo.MarkersLines = req.MarkersLines
  1084. chartInfo.MarkersAreas = req.MarkersAreas
  1085. if req.ExtraConfig != "" {
  1086. chartInfo.ExtraConfig = req.ExtraConfig
  1087. }
  1088. // 指标信息
  1089. mapList := make([]*data_manage.ChartEdbMapping, 0)
  1090. for _, v := range req.ChartEdbInfoList {
  1091. // todo 指标名称修改
  1092. mapItem := new(data_manage.ChartEdbMapping)
  1093. mapItem.EdbInfoId = v.EdbInfoId
  1094. mapItem.EdbAliasName = v.EdbAliasName
  1095. mapItem.IsAxis = v.IsAxis
  1096. mapItem.CreateTime = time.Now()
  1097. mapItem.ModifyTime = time.Now()
  1098. edbTimestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1099. mapItem.UniqueCode = utils.MD5(utils.CHART_PREFIX + "_" + edbTimestamp + "_" + strconv.Itoa(v.EdbInfoId))
  1100. mapItem.IsOrder = false
  1101. mapItem.EdbInfoType = 1
  1102. mapItem.Source = utils.CHART_SOURCE_RANGE_ANALYSIS
  1103. mapList = append(mapList, mapItem)
  1104. }
  1105. // 新增图表和指标mapping
  1106. chartInfoId, e := data_manage.CreateRangeChartAndEdb(chartInfo, mapList)
  1107. if e != nil {
  1108. errMsg = "操作失败"
  1109. err = errors.New("新增区间计算图表失败, Err: " + e.Error())
  1110. return
  1111. }
  1112. // 把系列和图表绑定
  1113. if extraConfig.EdbInfoMode == 1 {
  1114. // 新增指标系列
  1115. err = AddSeries(edbInfoIdArr, chartInfoId, utils.CHART_SOURCE_RANGE_ANALYSIS, extraConfig, req.ExtraConfig)
  1116. if err != nil {
  1117. errMsg = "操作失败"
  1118. err = errors.New("新增区间计算图表失败, Err: " + err.Error())
  1119. return
  1120. }
  1121. //todo 如果保存失败是否要删除
  1122. }
  1123. /*//添加配置信息
  1124. multipleGraphConfig := &data_manage.MultipleGraphConfig{
  1125. //MultipleGraphConfigId: 0,
  1126. SysUserId: sysUser.AdminId,
  1127. SysUserRealName: sysUser.RealName,
  1128. ModifyTime: time.Now(),
  1129. CreateTime: time.Now(),
  1130. }
  1131. err = data_manage.AddMultipleGraphConfig(multipleGraphConfig)
  1132. if err != nil {
  1133. errMsg = "操作失败"
  1134. err = errors.New("新增区间计算图表配置失败, Err: " + err.Error())
  1135. return
  1136. }*/
  1137. if extraConfig.MultipleGraphConfigId > 0 {
  1138. multipleGraphConfigChartMapping := &data_manage.MultipleGraphConfigChartMapping{
  1139. //Id: 0,
  1140. MultipleGraphConfigId: extraConfig.MultipleGraphConfigId,
  1141. ChartInfoId: chartInfo.ChartInfoId,
  1142. Source: utils.CHART_SOURCE_RANGE_ANALYSIS,
  1143. ModifyTime: time.Now(),
  1144. CreateTime: time.Now(),
  1145. }
  1146. err = data_manage.AddMultipleGraphConfigChartMapping(multipleGraphConfigChartMapping)
  1147. if err != nil {
  1148. errMsg = "操作失败"
  1149. err = errors.New("新增区间计算图表和配置关联关系失败, Err: " + err.Error())
  1150. return
  1151. }
  1152. }
  1153. // 添加指标引用记录
  1154. _ = data.SaveChartEdbInfoRelation(edbInfoIdArr, chartInfo)
  1155. //添加es数据
  1156. go data.EsAddOrEditChartInfo(chartInfoId)
  1157. return
  1158. }
  1159. // EditChartInfo 编辑图表
  1160. func EditChartInfo(req data_manage.EditChartInfoReq, sysUser *system.Admin, lang string) (chartItem *data_manage.ChartInfo, err error, errMsg string, isSendEmail bool) {
  1161. isSendEmail = true
  1162. chartItem, err = data_manage.GetChartInfoById(req.ChartInfoId)
  1163. if err != nil {
  1164. if err.Error() == utils.ErrNoRow() {
  1165. errMsg = "图表已被删除,请刷新页面"
  1166. err = errors.New(errMsg)
  1167. isSendEmail = false
  1168. return
  1169. }
  1170. errMsg = "获取图表信息失败"
  1171. err = errors.New("获取图表信息失败,Err:" + err.Error())
  1172. return
  1173. }
  1174. if chartItem.Source != utils.CHART_SOURCE_RANGE_ANALYSIS {
  1175. errMsg = "该图不是区间计算图表!"
  1176. err = errors.New(errMsg)
  1177. isSendEmail = false
  1178. return
  1179. }
  1180. req.ChartName = strings.Trim(req.ChartName, " ")
  1181. if req.ChartClassifyId <= 0 {
  1182. errMsg = "分类参数错误!"
  1183. err = errors.New(errMsg)
  1184. isSendEmail = false
  1185. return
  1186. }
  1187. // 区间计算图表配置校验
  1188. var extraConfig data_manage.ChartRangeAnalysisExtraConf
  1189. if req.ExtraConfig == `` {
  1190. errMsg = "配置信息错误"
  1191. err = errors.New(errMsg)
  1192. return
  1193. }
  1194. err = json.Unmarshal([]byte(req.ExtraConfig), &extraConfig)
  1195. if err != nil {
  1196. errMsg = "配置信息错误"
  1197. err = errors.New(errMsg)
  1198. return
  1199. }
  1200. if len(req.ChartEdbInfoList) <= 0 {
  1201. errMsg = "请选择指标"
  1202. err = errors.New(errMsg)
  1203. isSendEmail = false
  1204. return
  1205. }
  1206. extraConfig.SeriesName = strings.TrimSpace(extraConfig.SeriesName)
  1207. if len(req.ChartEdbInfoList) > 100 {
  1208. errMsg = "添加指标总数量不得超过100"
  1209. err = errors.New(errMsg)
  1210. isSendEmail = false
  1211. return
  1212. }
  1213. err, errMsg, isSendEmail = CheckChartRangeExtraConfig(extraConfig)
  1214. if err != nil {
  1215. return
  1216. }
  1217. chartClassify, err := data_manage.GetChartClassifyById(req.ChartClassifyId)
  1218. if err != nil {
  1219. if err.Error() == utils.ErrNoRow() {
  1220. errMsg = "分类不存在"
  1221. err = errors.New(errMsg)
  1222. isSendEmail = false
  1223. return
  1224. }
  1225. errMsg = "获取分类信息失败"
  1226. err = errors.New("获取分类信息失败,Err:" + err.Error())
  1227. return
  1228. }
  1229. if chartClassify == nil {
  1230. errMsg = "分类不存在"
  1231. err = errors.New(errMsg)
  1232. isSendEmail = false
  1233. return
  1234. }
  1235. // 图表操作权限
  1236. ok := data.CheckOpChartPermission(sysUser, chartItem.SysUserId, true)
  1237. if !ok {
  1238. errMsg = "没有该图表的操作权限"
  1239. err = errors.New(errMsg)
  1240. isSendEmail = false
  1241. return
  1242. }
  1243. var edbInfoIdArr []int
  1244. for _, v := range req.ChartEdbInfoList {
  1245. edbInfoId := v.EdbInfoId
  1246. edbInfo, tmpErr := data_manage.GetEdbInfoById(edbInfoId)
  1247. if tmpErr != nil {
  1248. if tmpErr.Error() == utils.ErrNoRow() {
  1249. errMsg = "图表不存在!"
  1250. err = errors.New("图表指标不存在,ChartInfoId:" + strconv.Itoa(edbInfoId))
  1251. return
  1252. } else {
  1253. errMsg = "获取图表信息失败!"
  1254. err = errors.New("获取图表的指标信息失败,Err:" + tmpErr.Error())
  1255. return
  1256. }
  1257. }
  1258. if edbInfo == nil {
  1259. errMsg = "指标不存在!"
  1260. err = errors.New("指标不存在,ChartInfoId:" + strconv.Itoa(edbInfoId))
  1261. return
  1262. }
  1263. edbInfoIdArr = append(edbInfoIdArr, edbInfoId)
  1264. }
  1265. sort.Ints(edbInfoIdArr)
  1266. var edbInfoIdArrStr []string
  1267. for _, v := range edbInfoIdArr {
  1268. edbInfoIdArrStr = append(edbInfoIdArrStr, strconv.Itoa(v))
  1269. }
  1270. edbInfoIdStr := strings.Join(edbInfoIdArrStr, ",")
  1271. //判断图表是否存在
  1272. {
  1273. var condition string
  1274. var pars []interface{}
  1275. condition += " AND chart_info_id <> ? "
  1276. pars = append(pars, req.ChartInfoId)
  1277. switch lang {
  1278. case utils.EnLangVersion:
  1279. condition += " AND chart_name_en = ? AND source = ? "
  1280. default:
  1281. condition += " AND chart_name=? AND source = ? "
  1282. }
  1283. pars = append(pars, req.ChartName, chartItem.Source)
  1284. count, tmpErr := data_manage.GetChartInfoCountByCondition(condition, pars)
  1285. if tmpErr != nil {
  1286. errMsg = "判断图表名称是否存在失败"
  1287. err = errors.New("判断图表名称是否存在失败,Err:" + tmpErr.Error())
  1288. return
  1289. }
  1290. if count > 0 {
  1291. errMsg = "图表已存在,请重新填写"
  1292. err = errors.New(errMsg)
  1293. isSendEmail = false
  1294. return
  1295. }
  1296. }
  1297. // 修改图表与指标mapping
  1298. req.ChartType = 1
  1299. dateType := req.DateType
  1300. err = data_manage.EditRangeChartInfoAndMapping(&req, edbInfoIdStr, lang, "公历", dateType, 0, ``)
  1301. if err != nil {
  1302. errMsg = "保存失败"
  1303. err = errors.New("保存失败,Err:" + err.Error())
  1304. return
  1305. }
  1306. addSeries := false
  1307. chartSeriesOb := new(data_manage.FactorEdbSeriesChartMapping)
  1308. seriesMappingItem, err := chartSeriesOb.GetItemByChartInfoId(chartItem.ChartInfoId)
  1309. if err != nil {
  1310. if err.Error() == utils.ErrNoRow() {
  1311. err = nil
  1312. addSeries = true
  1313. } else {
  1314. err = fmt.Errorf("获取图表关联失败, Err: " + err.Error())
  1315. return
  1316. }
  1317. }
  1318. if extraConfig.EdbInfoMode == 1 {
  1319. if addSeries {
  1320. // 新增指标系列
  1321. err = AddSeries(edbInfoIdArr, chartItem.ChartInfoId, utils.CHART_SOURCE_RANGE_ANALYSIS, extraConfig, req.ExtraConfig)
  1322. if err != nil {
  1323. errMsg = "操作失败"
  1324. err = errors.New("新增区间计算图表失败, Err: " + err.Error())
  1325. return
  1326. }
  1327. } else {
  1328. err = EditSeries(seriesMappingItem, edbInfoIdArr, extraConfig, req.ExtraConfig, true)
  1329. if err != nil {
  1330. errMsg = "保存失败"
  1331. err = errors.New("保存失败,Err:" + err.Error())
  1332. return
  1333. }
  1334. }
  1335. // todo 编辑失败处理
  1336. } else if extraConfig.EdbInfoMode == 0 {
  1337. if !addSeries {
  1338. // 删除相关的系列
  1339. factorSeriesOb := new(data_manage.FactorEdbSeries)
  1340. err = factorSeriesOb.RemoveSeriesAndMappingByFactorEdbSeriesId(seriesMappingItem)
  1341. if err != nil {
  1342. errMsg = "保存失败"
  1343. err = errors.New("保存失败,Err:" + err.Error())
  1344. return
  1345. }
  1346. }
  1347. }
  1348. resp := new(data_manage.AddChartInfoResp)
  1349. resp.ChartInfoId = chartItem.ChartInfoId
  1350. resp.UniqueCode = chartItem.UniqueCode
  1351. resp.ChartType = req.ChartType
  1352. // 添加指标引用记录
  1353. _ = data.SaveChartEdbInfoRelation(edbInfoIdArr, chartItem)
  1354. //添加es数据
  1355. go data.EsAddOrEditChartInfo(chartItem.ChartInfoId)
  1356. //修改my eta es数据
  1357. go data.EsAddOrEditMyChartInfoByChartInfoId(chartItem.ChartInfoId)
  1358. return
  1359. }
  1360. // CopyChartInfo 复制图表
  1361. 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) {
  1362. isSendEmail = true
  1363. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1364. chartInfo = &data_manage.ChartInfo{
  1365. ChartInfoId: 0,
  1366. ChartName: chartName,
  1367. ChartClassifyId: classifyId,
  1368. SysUserId: sysUser.AdminId,
  1369. SysUserRealName: sysUser.RealName,
  1370. UniqueCode: utils.MD5(utils.CHART_PREFIX + "_" + timestamp),
  1371. CreateTime: time.Now(),
  1372. ModifyTime: time.Now(),
  1373. DateType: oldChartInfo.DateType,
  1374. StartDate: oldChartInfo.StartDate,
  1375. EndDate: oldChartInfo.EndDate,
  1376. IsSetName: oldChartInfo.IsSetName,
  1377. EdbInfoIds: oldChartInfo.EdbInfoIds,
  1378. ChartType: oldChartInfo.ChartType,
  1379. Calendar: oldChartInfo.Calendar,
  1380. SeasonStartDate: oldChartInfo.SeasonStartDate,
  1381. SeasonEndDate: oldChartInfo.SeasonEndDate,
  1382. ChartImage: oldChartInfo.ChartImage,
  1383. BarConfig: oldChartInfo.BarConfig,
  1384. //Sort: sort,
  1385. LeftMin: oldChartInfo.LeftMin,
  1386. LeftMax: oldChartInfo.LeftMax,
  1387. RightMin: oldChartInfo.RightMin,
  1388. RightMax: oldChartInfo.RightMax,
  1389. Right2Min: oldChartInfo.Right2Min,
  1390. Right2Max: oldChartInfo.Right2Max,
  1391. Disabled: oldChartInfo.Disabled,
  1392. Source: oldChartInfo.Source,
  1393. ExtraConfig: oldChartInfo.ExtraConfig,
  1394. SeasonExtraConfig: oldChartInfo.SeasonExtraConfig,
  1395. StartYear: oldChartInfo.StartYear,
  1396. Unit: oldChartInfo.Unit,
  1397. UnitEn: oldChartInfo.UnitEn,
  1398. ChartThemeId: oldChartInfo.ChartThemeId,
  1399. SourcesFrom: oldChartInfo.SourcesFrom,
  1400. Instructions: oldChartInfo.Instructions,
  1401. MarkersLines: oldChartInfo.MarkersLines,
  1402. MarkersAreas: oldChartInfo.MarkersAreas,
  1403. }
  1404. newId, err := data_manage.AddChartInfo(chartInfo)
  1405. if err != nil {
  1406. err = fmt.Errorf("保存失败,Err:%s", err.Error())
  1407. return
  1408. }
  1409. chartInfo.ChartInfoId = int(newId)
  1410. edbInfoMappingList, err := data_manage.GetChartEdbMappingList(oldChartInfo.ChartInfoId)
  1411. if err != nil {
  1412. err = fmt.Errorf("获取图表,指标信息失败,Err:" + err.Error())
  1413. return
  1414. }
  1415. // 添加图表与指标的关联关系
  1416. edbInfoIdArr := make([]int, 0)
  1417. {
  1418. mapList := make([]*data_manage.ChartEdbMapping, 0)
  1419. for _, v := range edbInfoMappingList {
  1420. edbInfoIdArr = append(edbInfoIdArr, v.EdbInfoId)
  1421. timestamp = strconv.FormatInt(time.Now().UnixNano(), 10)
  1422. mapItem := &data_manage.ChartEdbMapping{
  1423. //ChartEdbMappingId: 0,
  1424. ChartInfoId: chartInfo.ChartInfoId,
  1425. EdbInfoId: v.EdbInfoId,
  1426. CreateTime: time.Now(),
  1427. ModifyTime: time.Now(),
  1428. UniqueCode: utils.MD5(utils.CHART_PREFIX + "_" + timestamp),
  1429. MaxData: v.MaxData,
  1430. MinData: v.MinData,
  1431. IsOrder: v.IsOrder,
  1432. IsAxis: v.IsAxis,
  1433. EdbInfoType: v.EdbInfoType,
  1434. LeadValue: v.LeadValue,
  1435. LeadUnit: v.LeadUnit,
  1436. ChartStyle: v.ChartStyle,
  1437. ChartColor: v.ChartColor,
  1438. ChartWidth: v.ChartWidth,
  1439. Source: v.Source,
  1440. EdbAliasName: v.EdbAliasName,
  1441. IsConvert: v.IsConvert,
  1442. ConvertType: v.ConvertType,
  1443. ConvertValue: v.ConvertValue,
  1444. ConvertUnit: v.ConvertEnUnit,
  1445. ConvertEnUnit: v.ConvertEnUnit,
  1446. }
  1447. mapList = append(mapList, mapItem)
  1448. }
  1449. err = data_manage.AddChartEdbMapping(mapList)
  1450. if err != nil {
  1451. err = fmt.Errorf("保存失败,Err:%s", err.Error())
  1452. return
  1453. }
  1454. }
  1455. // 添加系列和图表映射
  1456. chartSeriesOb := new(data_manage.FactorEdbSeriesChartMapping)
  1457. _, err = chartSeriesOb.GetItemByChartInfoId(oldChartInfo.ChartInfoId)
  1458. if err != nil {
  1459. if err.Error() == utils.ErrNoRow() {
  1460. err = nil
  1461. } else {
  1462. err = fmt.Errorf("获取图表关联失败, Err: " + err.Error())
  1463. return
  1464. }
  1465. } else {
  1466. // 新增指标系列
  1467. // 区间计算图表配置校验
  1468. var extraConfig data_manage.ChartRangeAnalysisExtraConf
  1469. err = json.Unmarshal([]byte(chartInfo.ExtraConfig), &extraConfig)
  1470. if err != nil {
  1471. errMsg = "配置信息错误"
  1472. err = errors.New(errMsg + ", Err: " + err.Error())
  1473. return
  1474. }
  1475. err = AddSeries(edbInfoIdArr, chartInfo.ChartInfoId, utils.CHART_SOURCE_RANGE_ANALYSIS, extraConfig, chartInfo.ExtraConfig)
  1476. if err != nil {
  1477. errMsg = "操作失败"
  1478. err = errors.New("新增区间计算图表失败, Err: " + err.Error())
  1479. return
  1480. }
  1481. }
  1482. //添加es数据
  1483. go data.EsAddOrEditChartInfo(chartInfo.ChartInfoId)
  1484. return
  1485. }
  1486. /*
  1487. // CalculateCorrelation 计算区间计算-获取x轴和y轴
  1488. func CalculateCorrelation(leadValue int, leadUnit, frequencyA, frequencyB string, dataListA, dataListB []*data_manage.EdbDataList) (xEdbIdValue []int, yDataList []data_manage.YData, err error) {
  1489. xData := make([]int, 0)
  1490. yData := make([]float64, 0)
  1491. if leadValue == 0 {
  1492. xData = append(xData, 0)
  1493. }
  1494. if leadValue > 0 {
  1495. leadMin := 0 - leadValue
  1496. xLen := 2*leadValue + 1
  1497. for i := 0; i < xLen; i++ {
  1498. n := leadMin + i
  1499. xData = append(xData, n)
  1500. }
  1501. }
  1502. // 计算窗口,不包含第一天
  1503. //startDateTime, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  1504. //startDate = startDateTime.AddDate(0, 0, 1).Format(utils.FormatDate)
  1505. //// 2023-03-02 时间序列始终以指标B为基准, 始终是A进行平移
  1506. //baseEdbInfo := edbInfoMappingB
  1507. //changeEdbInfo := edbInfoMappingA
  1508. // 2023-03-17 时间序列始终以指标A为基准, 始终是B进行平移
  1509. //baseEdbInfo := edbInfoMappingA
  1510. //changeEdbInfo := edbInfoMappingB
  1511. // 获取时间基准指标在时间区间内的值
  1512. //aDataList := make([]*data_manage.EdbDataList, 0)
  1513. //switch baseEdbInfo.EdbInfoCategoryType {
  1514. //case 0:
  1515. // aDataList, err = data_manage.GetEdbDataList(baseEdbInfo.Source, baseEdbInfo.SubSource, baseEdbInfo.EdbInfoId, startDate, endDate)
  1516. //case 1:
  1517. // _, aDataList, _, _, err, _ = data.GetPredictDataListByPredictEdbInfoId(baseEdbInfo.EdbInfoId, startDate, endDate, false)
  1518. //default:
  1519. // err = errors.New("指标base类型异常")
  1520. // return
  1521. //}
  1522. //
  1523. //// 获取变频指标所有日期的值, 插值法完善数据
  1524. //bDataList := make([]*data_manage.EdbDataList, 0)
  1525. //switch changeEdbInfo.EdbInfoCategoryType {
  1526. //case 0:
  1527. // bDataList, err = data_manage.GetEdbDataList(changeEdbInfo.Source, changeEdbInfo.SubSource, changeEdbInfo.EdbInfoId, "", "")
  1528. //case 1:
  1529. // _, bDataList, _, _, err, _ = data.GetPredictDataListByPredictEdbInfoId(changeEdbInfo.EdbInfoId, "", "", false)
  1530. //default:
  1531. // err = errors.New("指标change类型异常")
  1532. // return
  1533. //}
  1534. //changeDataMap := make(map[string]float64)
  1535. //newChangeDataList, e := HandleDataByLinearRegression(bDataList, changeDataMap)
  1536. //if e != nil {
  1537. // err = fmt.Errorf("获取变频指标插值法Map失败, Err: %s", e.Error())
  1538. // return
  1539. //}
  1540. // 2023-03-17 时间序列始终以指标A为基准, 始终是B进行平移
  1541. baseDataList := make([]*data_manage.EdbDataList, 0)
  1542. baseDataMap := make(map[string]float64)
  1543. changeDataList := make([]*data_manage.EdbDataList, 0)
  1544. changeDataMap := make(map[string]float64)
  1545. // 先把低频指标升频为高频
  1546. {
  1547. frequencyIntMap := map[string]int{
  1548. "日度": 1,
  1549. "周度": 2,
  1550. "旬度": 3,
  1551. "月度": 4,
  1552. "季度": 5,
  1553. "年度": 6,
  1554. }
  1555. // 如果A指标是高频,那么就需要对B指标进行升频
  1556. if frequencyIntMap[frequencyA] < frequencyIntMap[frequencyB] {
  1557. tmpNewChangeDataList, e := HandleDataByLinearRegression(dataListB, changeDataMap)
  1558. if e != nil {
  1559. err = fmt.Errorf("获取变频指标插值法Map失败, Err: %s", e.Error())
  1560. return
  1561. }
  1562. changeDataList = tmpNewChangeDataList
  1563. baseDataList = dataListA
  1564. for _, v := range baseDataList {
  1565. baseDataMap[v.DataTime] = v.Value
  1566. }
  1567. } else if frequencyIntMap[frequencyA] > frequencyIntMap[frequencyB] {
  1568. // 如果B指标是高频,那么就需要对A指标进行升频
  1569. tmpNewChangeDataList, e := HandleDataByLinearRegression(dataListA, baseDataMap)
  1570. if e != nil {
  1571. err = fmt.Errorf("获取变频指标插值法Map失败, Err: %s", e.Error())
  1572. return
  1573. }
  1574. baseDataList = tmpNewChangeDataList
  1575. changeDataList = dataListB
  1576. for _, v := range changeDataList {
  1577. changeDataMap[v.DataTime] = v.Value
  1578. }
  1579. } else {
  1580. baseDataList = dataListA
  1581. for _, v := range baseDataList {
  1582. baseDataMap[v.DataTime] = v.Value
  1583. }
  1584. changeDataList = dataListB
  1585. for _, v := range changeDataList {
  1586. changeDataMap[v.DataTime] = v.Value
  1587. }
  1588. }
  1589. }
  1590. // 计算不领先也不滞后时的相关系数
  1591. baseCalculateData := make([]float64, 0)
  1592. baseDataTimeArr := make([]string, 0)
  1593. for i := range baseDataList {
  1594. baseDataTimeArr = append(baseDataTimeArr, baseDataList[i].DataTime)
  1595. baseCalculateData = append(baseCalculateData, baseDataList[i].Value)
  1596. }
  1597. //zeroBaseData := make([]float64, 0)
  1598. //zeroCalculateData := make([]float64, 0)
  1599. //for i := range baseDataTimeArr {
  1600. // tmpBaseVal, ok1 := baseDataMap[baseDataTimeArr[i]]
  1601. // tmpCalculateVal, ok2 := changeDataMap[baseDataTimeArr[i]]
  1602. // if ok1 && ok2 {
  1603. // zeroBaseData = append(zeroBaseData, tmpBaseVal)
  1604. // zeroCalculateData = append(zeroCalculateData, tmpCalculateVal)
  1605. // }
  1606. //}
  1607. //if len(zeroBaseData) != len(zeroCalculateData) {
  1608. // err = fmt.Errorf("相关系数两组序列元素数不一致, %d-%d", len(baseCalculateData), len(zeroCalculateData))
  1609. // return
  1610. //}
  1611. //zeroRatio := utils.CalculateCorrelationByIntArr(zeroBaseData, zeroCalculateData)
  1612. //if leadValue == 0 {
  1613. // yData = append(yData, zeroRatio)
  1614. //}
  1615. // 计算领先/滞后N期
  1616. if leadValue > 0 {
  1617. // 平移变频指标领先/滞后的日期(单位天)
  1618. moveUnitDays := utils.FrequencyDaysMap[leadUnit]
  1619. for i := range xData {
  1620. //if xData[i] == 0 {
  1621. // yData = append(yData, zeroRatio)
  1622. // continue
  1623. //}
  1624. xCalculateData := make([]float64, 0)
  1625. yCalculateData := make([]float64, 0)
  1626. // 平移指定天数
  1627. mDays := int(moveUnitDays) * xData[i]
  1628. _, dMap := MoveDataDaysToNewDataList(changeDataList, mDays)
  1629. // 取出对应的基准日期的值
  1630. for i2 := range baseDataTimeArr {
  1631. tmpDate := baseDataTimeArr[i2]
  1632. if yVal, ok := dMap[tmpDate]; ok {
  1633. xCalculateData = append(xCalculateData, baseCalculateData[i2])
  1634. yCalculateData = append(yCalculateData, yVal)
  1635. }
  1636. }
  1637. if len(yCalculateData) <= 0 {
  1638. //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))
  1639. //return
  1640. // 领先滞后后,没有可以计算的数据了
  1641. continue
  1642. }
  1643. // 公式计算出领先/滞后频度对应点的区间计算系数
  1644. ratio := utils.CalculateCorrelationByIntArr(xCalculateData, yCalculateData)
  1645. yData = append(yData, ratio)
  1646. }
  1647. }
  1648. xEdbIdValue = xData
  1649. yDataList = make([]data_manage.YData, 0)
  1650. yDate := "0000-00-00"
  1651. yDataList = append(yDataList, data_manage.YData{
  1652. Date: yDate,
  1653. Value: yData,
  1654. })
  1655. return
  1656. }
  1657. // GetFactorChartDataByChartId 获取多因子区间计算图表数据
  1658. func GetFactorChartDataByChartId(chartInfoId int, extraConfig string) (xEdbIdValue []int, yDataList []data_manage.YData, err error) {
  1659. if chartInfoId <= 0 {
  1660. return
  1661. }
  1662. // 指标对应的图例
  1663. extra := new(data_manage.CorrelationChartInfoExtraConfig)
  1664. if extraConfig != "" {
  1665. if e := json.Unmarshal([]byte(extraConfig), extra); e != nil {
  1666. err = fmt.Errorf("解析图表额外配置失败, err: %v", e)
  1667. return
  1668. }
  1669. }
  1670. legends := make(map[string]*data_manage.CorrelationChartLegend)
  1671. if extra != nil {
  1672. for _, v := range extra.LegendConfig {
  1673. s := fmt.Sprintf("%d-%d", v.SeriesId, v.EdbInfoId)
  1674. legends[s] = v
  1675. }
  1676. }
  1677. // 获取图表引用到的系列指标
  1678. chartMappingOb := new(data_manage.FactorEdbSeriesChartMapping)
  1679. cond := fmt.Sprintf(" AND %s = ? AND %s = 1", chartMappingOb.Cols().ChartInfoId, chartMappingOb.Cols().EdbUsed)
  1680. pars := make([]interface{}, 0)
  1681. pars = append(pars, chartInfoId)
  1682. chartMappings, e := chartMappingOb.GetItemsByCondition(cond, pars, []string{}, "")
  1683. if e != nil {
  1684. err = fmt.Errorf("获取图表引用系列指标失败")
  1685. return
  1686. }
  1687. // 取出计算结果
  1688. yDataList = make([]data_manage.YData, 0)
  1689. yDate := "0000-00-00"
  1690. for k, m := range chartMappings {
  1691. var values []data_manage.FactorEdbSeriesCorrelationMatrixValues
  1692. if m.CalculateData != "" {
  1693. e = json.Unmarshal([]byte(m.CalculateData), &values)
  1694. if e != nil {
  1695. err = fmt.Errorf("系列指标计算数据有误, err: %v", e)
  1696. return
  1697. }
  1698. }
  1699. var y []float64
  1700. for _, v := range values {
  1701. if k == 0 {
  1702. xEdbIdValue = append(xEdbIdValue, v.XData)
  1703. }
  1704. y = append(y, v.YData)
  1705. }
  1706. var yData data_manage.YData
  1707. yData.Date = yDate
  1708. yData.Value = y
  1709. yData.SeriesEdb.SeriesId = m.FactorEdbSeriesId
  1710. yData.SeriesEdb.EdbInfoId = m.EdbInfoId
  1711. // 图例
  1712. s := fmt.Sprintf("%d-%d", m.FactorEdbSeriesId, m.EdbInfoId)
  1713. legend := legends[s]
  1714. if legend != nil {
  1715. yData.Name = legend.LegendName
  1716. yData.Color = legend.Color
  1717. }
  1718. yDataList = append(yDataList, yData)
  1719. }
  1720. return
  1721. }
  1722. // FormatChartEdbInfoMappings 补充指标信息
  1723. func FormatChartEdbInfoMappings(chartInfoId int, mappings []*data_manage.ChartEdbInfoMapping) (edbList []*data_manage.ChartEdbInfoMapping, err error) {
  1724. edbList = make([]*data_manage.ChartEdbInfoMapping, 0)
  1725. if len(mappings) == 0 {
  1726. return
  1727. }
  1728. for _, v := range mappings {
  1729. if chartInfoId <= 0 {
  1730. v.IsAxis = 1
  1731. v.LeadValue = 0
  1732. v.LeadUnit = ""
  1733. v.ChartEdbMappingId = 0
  1734. v.ChartInfoId = 0
  1735. v.IsOrder = false
  1736. v.EdbInfoType = 1
  1737. v.ChartStyle = ""
  1738. v.ChartColor = ""
  1739. v.ChartWidth = 0
  1740. } else {
  1741. v.LeadUnitEn = data.GetLeadUnitEn(v.LeadUnit)
  1742. v.LeadUnitEn = data.GetLeadUnitEn(v.LeadUnit)
  1743. }
  1744. v.FrequencyEn = data.GetFrequencyEn(v.Frequency)
  1745. if v.Unit == `无` {
  1746. v.Unit = ``
  1747. }
  1748. edbList = append(edbList, v)
  1749. }
  1750. return
  1751. }*/
  1752. func GetEdbDateByMoveForward(startDate string, moveForward int, edbDataList []*data_manage.EdbDataList) (date string) {
  1753. // 根据日期进行排序
  1754. index := 0
  1755. for _, v := range edbDataList {
  1756. if v.DataTime == startDate {
  1757. index += 1
  1758. }
  1759. if index > 0 {
  1760. index += 1
  1761. }
  1762. if index == moveForward {
  1763. date = v.DataTime
  1764. break
  1765. }
  1766. }
  1767. return
  1768. }
  1769. // HandleEdbDateChange 处理日期变换
  1770. func HandleEdbDateChange(date string, dateChange []*data_manage.EdbDateConfDateChange) (newDate string, err error) {
  1771. newDate = date
  1772. if newDate != "" {
  1773. if len(dateChange) > 0 {
  1774. var dateTime time.Time
  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. for _, v := range dateChange {
  1781. if v.ChangeType == 1 {
  1782. dateTime = dateTime.AddDate(v.Year, v.Month, v.Day)
  1783. newDate = dateTime.Format(utils.FormatDate)
  1784. } else if v.ChangeType == 2 {
  1785. newDate, err, _ = utils.HandleSystemAppointDateT(dateTime, v.FrequencyDay, v.Frequency)
  1786. if err != nil {
  1787. return
  1788. }
  1789. dateTime, err = time.ParseInLocation(utils.FormatDate, newDate, time.Local)
  1790. if err != nil {
  1791. err = fmt.Errorf("日期解析失败: %s", err.Error())
  1792. return
  1793. }
  1794. }
  1795. }
  1796. }
  1797. }
  1798. return
  1799. }
  1800. // 添加指标系列和数据
  1801. func AddSeries(edbInfoIds []int, chartInfoId, chartInfoSource int, extraConf data_manage.ChartRangeAnalysisExtraConf, calculatesJson string) (err error) {
  1802. edbArr, e := data_manage.GetEdbInfoByIdList(edbInfoIds)
  1803. if e != nil {
  1804. err = fmt.Errorf("获取指标列表失败, Err: " + e.Error())
  1805. return
  1806. }
  1807. if len(edbArr) == 0 {
  1808. err = fmt.Errorf("获取指标列表失败, 指标不存在")
  1809. return
  1810. }
  1811. edbInfoType := edbArr[0].EdbInfoType
  1812. // 新增指标系列
  1813. seriesItem := new(data_manage.FactorEdbSeries)
  1814. seriesItem.SeriesName = extraConf.SeriesName
  1815. seriesItem.EdbInfoType = edbInfoType
  1816. seriesItem.CreateTime = time.Now().Local()
  1817. seriesItem.ModifyTime = time.Now().Local()
  1818. seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculating
  1819. seriesItem.CalculateStep = calculatesJson
  1820. mappings := make([]*data_manage.FactorEdbSeriesMapping, 0)
  1821. for _, v := range edbArr {
  1822. mappings = append(mappings, &data_manage.FactorEdbSeriesMapping{
  1823. EdbInfoId: v.EdbInfoId,
  1824. EdbCode: v.EdbCode,
  1825. CreateTime: time.Now().Local(),
  1826. ModifyTime: time.Now().Local(),
  1827. })
  1828. }
  1829. seriesId, e := seriesItem.CreateSeriesAndMapping(seriesItem, mappings)
  1830. if e != nil {
  1831. err = fmt.Errorf("新增因子指标系列失败, Err: " + e.Error())
  1832. return
  1833. }
  1834. // 图表关联-此处添加的chart_info_id=0
  1835. seriesChartMapping := new(data_manage.FactorEdbSeriesChartMapping)
  1836. seriesChartMapping.CalculateType = data_manage.FactorEdbSeriesChartCalculateTypeRange
  1837. //新增图表和指标的映射关系
  1838. seriesChartMapping.CalculateData = ""
  1839. seriesChartMapping.FactorEdbSeriesId = seriesId
  1840. seriesChartMapping.ChartInfoId = chartInfoId
  1841. seriesChartMapping.Source = chartInfoSource
  1842. seriesChartMapping.CreateTime = time.Now().Local()
  1843. seriesChartMapping.ModifyTime = time.Now().Local()
  1844. if e = seriesChartMapping.Create(); e != nil {
  1845. err = fmt.Errorf("新增图表关联失败, Err: " + e.Error())
  1846. return
  1847. }
  1848. // todo 计算指标数据并存储
  1849. _, e = FactorEdbStepCalculateRange(seriesId, edbInfoIds, extraConf, false)
  1850. if e != nil {
  1851. err = fmt.Errorf("计算因子指标失败, Err: " + e.Error())
  1852. return
  1853. }
  1854. // 更新系列计算状态
  1855. cols := []string{seriesItem.Cols().CalculateState, seriesItem.Cols().ModifyTime}
  1856. seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculated
  1857. seriesItem.ModifyTime = time.Now().Local()
  1858. if e = seriesItem.Update(cols); e != nil {
  1859. err = fmt.Errorf("更新因子指标系列计算状态失败, Err: " + e.Error())
  1860. return
  1861. }
  1862. return
  1863. }
  1864. func EditSeries(seriesMapping *data_manage.FactorEdbSeriesChartMapping, edbInfoIds []int, extraConf data_manage.ChartRangeAnalysisExtraConf, calculatesJson string, recalculate bool) (err error) {
  1865. seriesOb := new(data_manage.FactorEdbSeries)
  1866. seriesItem, e := seriesOb.GetItemById(seriesMapping.FactorEdbSeriesId)
  1867. if e != nil {
  1868. if e.Error() == utils.ErrNoRow() {
  1869. err = fmt.Errorf("因子指标系列不存在, Err: " + e.Error())
  1870. return
  1871. }
  1872. err = fmt.Errorf("获取因子指标系列失败, Err: " + e.Error())
  1873. return
  1874. }
  1875. edbArr, e := data_manage.GetEdbInfoByIdList(edbInfoIds)
  1876. if e != nil {
  1877. err = fmt.Errorf("获取指标列表失败, Err: " + e.Error())
  1878. return
  1879. }
  1880. if len(edbArr) == 0 {
  1881. err = fmt.Errorf("指标列表为空")
  1882. return
  1883. }
  1884. var calculateResp data_manage.FactorEdbSeriesStepCalculateResp
  1885. calculateResp.SeriesId = seriesItem.FactorEdbSeriesId
  1886. // 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
  1887. seriesItem.SeriesName = extraConf.SeriesName
  1888. seriesItem.EdbInfoType = edbArr[0].EdbInfoType
  1889. seriesItem.ModifyTime = time.Now().Local()
  1890. updateCols := []string{seriesOb.Cols().SeriesName, seriesOb.Cols().EdbInfoType, seriesOb.Cols().ModifyTime}
  1891. if !recalculate {
  1892. if e = seriesItem.Update(updateCols); e != nil {
  1893. err = fmt.Errorf("更新因子指标系列失败, Err: " + e.Error())
  1894. return
  1895. }
  1896. return
  1897. }
  1898. // 更新系列信息和指标关联
  1899. seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculating
  1900. seriesItem.CalculateStep = calculatesJson
  1901. updateCols = append(updateCols, seriesOb.Cols().CalculateState, seriesOb.Cols().CalculateStep)
  1902. mappings := make([]*data_manage.FactorEdbSeriesMapping, 0)
  1903. for _, v := range edbArr {
  1904. mappings = append(mappings, &data_manage.FactorEdbSeriesMapping{
  1905. EdbInfoId: v.EdbInfoId,
  1906. EdbCode: v.EdbCode,
  1907. CreateTime: time.Now().Local(),
  1908. ModifyTime: time.Now().Local(),
  1909. })
  1910. }
  1911. if e = seriesItem.EditSeriesAndMapping(seriesItem, mappings, updateCols); e != nil {
  1912. err = fmt.Errorf("更新因子指标系列信息失败, Err: %s", e.Error())
  1913. return
  1914. }
  1915. // todo 重新计算
  1916. _, e = FactorEdbStepCalculateRange(seriesItem.FactorEdbSeriesId, edbInfoIds, extraConf, false)
  1917. if e != nil {
  1918. err = fmt.Errorf("计算因子指标失败, Err: " + e.Error())
  1919. return
  1920. }
  1921. // 更新系列计算状态
  1922. cols := []string{seriesItem.Cols().CalculateState, seriesItem.Cols().ModifyTime}
  1923. seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculated
  1924. seriesItem.ModifyTime = time.Now().Local()
  1925. if e = seriesItem.Update(cols); e != nil {
  1926. err = fmt.Errorf("更新因子指标系列计算状态失败, Err: %s", e.Error())
  1927. return
  1928. }
  1929. return
  1930. }
  1931. // FactorEdbStepCalculateRange 因子指标-区间计算
  1932. func FactorEdbStepCalculateRange(seriesId int, edbArr []int, extraConf data_manage.ChartRangeAnalysisExtraConf, recalculate bool) (calculateResp data_manage.FactorEdbSeriesStepCalculateResp, err error) {
  1933. // todo 如果指标已保存,则用指标数据还是图表指标数据?
  1934. // 获取图表x轴y轴
  1935. defer func() {
  1936. if err != nil {
  1937. tips := fmt.Sprintf("StepCalculate计算失败, ErrMsg: %v", err)
  1938. fmt.Println(tips)
  1939. utils.FileLog.Info(tips)
  1940. go alarm_msg.SendAlarmMsg(tips, 3)
  1941. }
  1942. /*if len(calculateResp.Fail) > 0 {
  1943. tips := "StepCalculate计算失败, ErrMsg: "
  1944. for _, f := range calculateResp.Fail {
  1945. tips += fmt.Sprintf("code: %s, err: %s\n", f.EdbCode, f.ErrMsg)
  1946. }
  1947. fmt.Println(tips)
  1948. utils.FileLog.Info(tips)
  1949. go alarm_msg.SendAlarmMsg(tips, 2)
  1950. }*/
  1951. }()
  1952. edbInfoMappingList, e := data_manage.GetChartEdbMappingListByEdbInfoIdList(edbArr)
  1953. if e != nil {
  1954. err = fmt.Errorf("获取区间计算图表, A指标mapping信息失败, Err:%v", e)
  1955. return
  1956. }
  1957. _, _, _, err = GetChartDataByEdbInfoList(0, 0, 0, "", "", edbInfoMappingList, &extraConf)
  1958. if err != nil {
  1959. err = fmt.Errorf("获取图表数据失败, ErrMsg: %v", err)
  1960. return
  1961. }
  1962. // 重新计算-先清除原数据
  1963. calculateDataOb := new(data_manage.FactorEdbSeriesCalculateDataQjjs)
  1964. cond := fmt.Sprintf("%s = ?", calculateDataOb.Cols().FactorEdbSeriesId)
  1965. pars := make([]interface{}, 0)
  1966. pars = append(pars, seriesId)
  1967. if e := calculateDataOb.RemoveByCondition(cond, pars); e != nil {
  1968. err = fmt.Errorf("清除原数据失败, err: %v", e)
  1969. return
  1970. }
  1971. // 计算成功的保存结果
  1972. dataArr := make([]*data_manage.FactorEdbSeriesCalculateDataQjjs, 0)
  1973. for _, v := range edbInfoMappingList {
  1974. dataList := v.DataList.([]*data_manage.EdbDataList)
  1975. for _, dataItem := range dataList {
  1976. dataTime, _ := time.ParseInLocation(utils.FormatDate, dataItem.DataTime, time.Local)
  1977. dataArr = append(dataArr, &data_manage.FactorEdbSeriesCalculateDataQjjs{
  1978. FactorEdbSeriesId: seriesId,
  1979. EdbInfoId: v.EdbInfoId,
  1980. EdbCode: v.EdbCode,
  1981. DataTime: dataTime,
  1982. Value: dataItem.Value,
  1983. CreateTime: time.Now().Local(),
  1984. ModifyTime: time.Now().Local(),
  1985. DataTimestamp: dataItem.DataTimestamp,
  1986. })
  1987. }
  1988. }
  1989. if len(dataArr) == 0 {
  1990. err = fmt.Errorf("计算结果无数据, seriesId: %d", seriesId)
  1991. return
  1992. }
  1993. if e = calculateDataOb.CreateMulti(dataArr); e != nil {
  1994. err = fmt.Errorf("保存计算结果失败, seriesId: %d, err: %v, ", seriesId, e)
  1995. return
  1996. }
  1997. return
  1998. }
  1999. func CheckChartRangeExtraConfig(extraConfig data_manage.ChartRangeAnalysisExtraConf) (err error, errMsg string, isSendEmail bool) {
  2000. extraConfig.SeriesName = strings.TrimSpace(extraConfig.SeriesName)
  2001. if extraConfig.SeriesName == "" && extraConfig.EdbInfoMode == 1 {
  2002. errMsg = "请输入指标系列名称"
  2003. err = errors.New(errMsg)
  2004. isSendEmail = false
  2005. return
  2006. }
  2007. if extraConfig.CalculateType > 5 || extraConfig.CalculateType < 0 {
  2008. errMsg = "计算方式参数错误"
  2009. err = errors.New(errMsg)
  2010. isSendEmail = false
  2011. return
  2012. }
  2013. switch extraConfig.DateRangeType {
  2014. case 0:
  2015. case 1:
  2016. if len(extraConfig.ManualDateConf) == 0 {
  2017. errMsg = "请选择时间区间"
  2018. err = errors.New(errMsg)
  2019. return
  2020. }
  2021. // 先按开始时间排序
  2022. sort.Sort(data_manage.ChartRangeAnalysisManualDateConfList(extraConfig.ManualDateConf))
  2023. // 校验日期
  2024. // 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
  2025. // 2.时间区间不能重叠
  2026. for i := 1; i < len(extraConfig.ManualDateConf); i++ {
  2027. start1, e := time.Parse(utils.FormatDate, extraConfig.ManualDateConf[i-1].EndDate)
  2028. if e != nil {
  2029. err = e
  2030. errMsg = "截止日期格式有误"
  2031. return
  2032. }
  2033. start2, e := time.Parse(utils.FormatDate, extraConfig.ManualDateConf[i].EndDate)
  2034. if e != nil {
  2035. err = e
  2036. errMsg = "截止日期格式有误"
  2037. return
  2038. }
  2039. start3, e := time.Parse(utils.FormatDate, extraConfig.ManualDateConf[i].StartDate)
  2040. if e != nil {
  2041. err = e
  2042. errMsg = "截止日期格式有误"
  2043. return
  2044. }
  2045. // 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
  2046. if !start2.After(start1) || start3.Before(start1) {
  2047. errMsg = "日期区间存在重叠"
  2048. return
  2049. }
  2050. }
  2051. //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
  2052. case 2:
  2053. if extraConfig.YearDateConf.StartDay == "" || extraConfig.YearDateConf.EndDay == "" {
  2054. errMsg = "请选择时间区间"
  2055. return
  2056. }
  2057. if _, e := time.Parse(utils.FormatMonthDay, extraConfig.YearDateConf.StartDay); e != nil {
  2058. errMsg = "开始日期格式有误"
  2059. return
  2060. }
  2061. if _, e := time.Parse(utils.FormatMonthDay, extraConfig.YearDateConf.EndDay); e != nil {
  2062. errMsg = "结束日期格式有误"
  2063. return
  2064. }
  2065. }
  2066. return
  2067. }