chart_info.go 69 KB

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  1. package range_analysis
  2. import (
  3. "encoding/json"
  4. "errors"
  5. "eta/eta_api/models/data_manage"
  6. "eta/eta_api/models/system"
  7. "eta/eta_api/services/alarm_msg"
  8. "eta/eta_api/services/data"
  9. "eta/eta_api/utils"
  10. "fmt"
  11. "github.com/shopspring/decimal"
  12. "math"
  13. "sort"
  14. "strconv"
  15. "strings"
  16. "time"
  17. )
  18. // GetAutoCalculateDateDataList 获取当前时间相关的区间作为计算依据
  19. func GetAutoCalculateDateDataList(currentDate string, dataList []*data_manage.EdbDataList, req *data_manage.ChartRangeAnalysisExtraConf) (newDataList []*data_manage.EdbDataList, err error) {
  20. currentDateTime, _ := time.ParseInLocation(utils.FormatDate, currentDate, time.Local)
  21. switch req.DateRangeType {
  22. case 0:
  23. // 智能划分得到一个开始日期,和结束日期
  24. var startDateTime time.Time
  25. if req.AutoDateConf.IsAutoStartDate == 0 { //固定设置
  26. startDate := req.AutoDateConf.StartDate
  27. if startDate == "" {
  28. startDate = "2020-01-01"
  29. }
  30. startDateTime, _ = time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  31. } else {
  32. startConf := req.AutoDateConf.StartDateConf
  33. startDate := ""
  34. if startConf.BaseDateType == 0 { //
  35. startDate = currentDate
  36. } else if startConf.BaseDateType == 1 {
  37. startDate = time.Now().Format(utils.FormatDate)
  38. }
  39. if startConf.MoveForward > 0 {
  40. startDate = GetEdbDateByMoveForward(startDate, startConf.MoveForward, dataList)
  41. }
  42. if len(startConf.DateChange) > 0 {
  43. startDate, err = HandleEdbDateChange(startDate, startConf.DateChange)
  44. if err != nil {
  45. err = fmt.Errorf("智能划分开始日期处理失败:%s", err.Error())
  46. return
  47. }
  48. }
  49. startDateTime, _ = time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  50. }
  51. var calStartTime, calEndTime time.Time
  52. if currentDateTime.Before(startDateTime) {
  53. calStartTime = currentDateTime
  54. calEndTime = startDateTime
  55. } else {
  56. calStartTime = startDateTime
  57. calEndTime = currentDateTime
  58. }
  59. // 根据日期,获取数据
  60. for _, vv := range dataList {
  61. dataTimeT, _ := time.ParseInLocation(utils.FormatDate, vv.DataTime, time.Local)
  62. if (dataTimeT.After(calStartTime) && dataTimeT.Before(calEndTime)) ||
  63. dataTimeT.Equal(calStartTime) ||
  64. dataTimeT.Equal(calEndTime) {
  65. newDataList = append(newDataList, vv)
  66. }
  67. }
  68. }
  69. return
  70. }
  71. // HandleDataByCalculateType 根据计算公式处理数据
  72. func HandleDataByCalculateType(originList []*data_manage.ChartRangeAnalysisDateDataItem, originDataList []*data_manage.EdbDataList, req *data_manage.ChartRangeAnalysisExtraConf) (newList []*data_manage.EdbDataList, err error) {
  73. if len(originList) == 0 {
  74. return
  75. }
  76. calculateType := req.CalculateType
  77. switch calculateType {
  78. case 0: //均值
  79. var sum float64
  80. if req.DateRangeType == 0 && req.AutoDateConf.IsAutoStartDate > 0 {
  81. for _, item := range originList {
  82. for _, v := range item.DataList {
  83. sum = 0
  84. //计算的数据返回需要重新确定
  85. calDataList, e := GetAutoCalculateDateDataList(v.DataTime, originDataList, req)
  86. if e != nil {
  87. err = fmt.Errorf("获取区间数据失败:%s", e.Error())
  88. return
  89. }
  90. for _, vv := range calDataList {
  91. sum += vv.Value
  92. }
  93. val := sum / float64(len(calDataList))
  94. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  95. newList = append(newList, &data_manage.EdbDataList{
  96. DataTime: v.DataTime,
  97. Value: val,
  98. DataTimestamp: v.DataTimestamp,
  99. })
  100. }
  101. }
  102. } else {
  103. for _, item := range originList {
  104. sum = 0
  105. for k, v := range item.DataList {
  106. sum += v.Value
  107. val := sum / float64(k+1)
  108. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  109. newList = append(newList, &data_manage.EdbDataList{
  110. DataTime: v.DataTime,
  111. Value: val,
  112. DataTimestamp: v.DataTimestamp,
  113. })
  114. }
  115. }
  116. }
  117. case 1: //累计值
  118. var sum float64
  119. if req.DateRangeType == 0 && req.AutoDateConf.IsAutoStartDate > 0 {
  120. for _, item := range originList {
  121. sum = 0
  122. for _, v := range item.DataList {
  123. sum = 0
  124. //计算的数据返回需要重新确定
  125. calDataList, e := GetAutoCalculateDateDataList(v.DataTime, originDataList, req)
  126. if e != nil {
  127. err = fmt.Errorf("获取区间数据失败:%s", e.Error())
  128. return
  129. }
  130. for _, vv := range calDataList {
  131. sum += vv.Value
  132. }
  133. val := sum
  134. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  135. newList = append(newList, &data_manage.EdbDataList{
  136. DataTime: v.DataTime,
  137. Value: val,
  138. DataTimestamp: v.DataTimestamp,
  139. })
  140. }
  141. }
  142. } else {
  143. for _, item := range originList {
  144. sum = 0
  145. for _, v := range item.DataList {
  146. sum += v.Value
  147. val := sum
  148. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  149. newList = append(newList, &data_manage.EdbDataList{
  150. DataTime: v.DataTime,
  151. Value: val,
  152. DataTimestamp: v.DataTimestamp,
  153. })
  154. }
  155. }
  156. }
  157. case 2: //涨幅
  158. if req.DateRangeType == 0 && req.AutoDateConf.IsAutoStartDate > 0 {
  159. for _, item := range originList {
  160. for _, v := range item.DataList {
  161. var baseVal float64
  162. //计算的数据返回需要重新确定
  163. calDataList, e := GetAutoCalculateDateDataList(v.DataTime, originDataList, req)
  164. if e != nil {
  165. err = fmt.Errorf("获取区间数据失败:%s", e.Error())
  166. return
  167. }
  168. if len(calDataList) == 0 {
  169. continue
  170. }
  171. baseVal = calDataList[0].Value
  172. baseDate := calDataList[0].DataTime
  173. if baseVal == 0 {
  174. continue
  175. }
  176. if v.DataTime == baseDate {
  177. continue
  178. }
  179. val := (v.Value - baseVal) / baseVal
  180. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  181. newList = append(newList, &data_manage.EdbDataList{
  182. DataTime: v.DataTime,
  183. Value: val,
  184. DataTimestamp: v.DataTimestamp,
  185. })
  186. }
  187. }
  188. } else {
  189. for _, item := range originList {
  190. if len(item.DataList) == 0 {
  191. break
  192. }
  193. baseVal := item.DataList[0].Value
  194. baseDate := item.DataList[0].DataTime
  195. if baseVal == 0 {
  196. break
  197. }
  198. for _, v := range item.DataList {
  199. if v.DataTime == baseDate {
  200. continue
  201. }
  202. val := (v.Value - baseVal) / baseVal
  203. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  204. newList = append(newList, &data_manage.EdbDataList{
  205. DataTime: v.DataTime,
  206. Value: val,
  207. DataTimestamp: v.DataTimestamp,
  208. })
  209. }
  210. }
  211. }
  212. case 3: //复合增长率
  213. if req.DateRangeType == 0 && req.AutoDateConf.IsAutoStartDate > 0 {
  214. for _, item := range originList {
  215. for _, v := range item.DataList {
  216. var baseVal float64
  217. var baseDate string
  218. calDataList, e := GetAutoCalculateDateDataList(v.DataTime, originDataList, req)
  219. if e != nil {
  220. err = fmt.Errorf("获取区间数据失败:%s", e.Error())
  221. return
  222. }
  223. if len(calDataList) == 0 {
  224. continue
  225. }
  226. baseVal = calDataList[0].Value
  227. baseDate = calDataList[0].DataTime
  228. if v.DataTime == baseDate {
  229. continue
  230. }
  231. if baseVal == 0 {
  232. continue
  233. }
  234. baseDateT, e := time.ParseInLocation(utils.FormatDate, baseDate, time.Local)
  235. if e != nil {
  236. err = fmt.Errorf("time.ParseInLocation err: %v", e)
  237. return
  238. }
  239. tmpT, e := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
  240. if e != nil {
  241. err = fmt.Errorf("time.ParseInLocation err: %v", e)
  242. return
  243. }
  244. // 计算两个日期相差的天数
  245. diff := tmpT.Sub(baseDateT).Hours() / 24 / 365
  246. val := v.Value / baseVal
  247. val = math.Pow(val, 1/diff) - 1
  248. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  249. newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
  250. }
  251. }
  252. } else {
  253. for _, item := range originList {
  254. if len(item.DataList) == 0 {
  255. break
  256. }
  257. baseVal := item.DataList[0].Value
  258. baseDate := item.DataList[0].DataTime
  259. if baseVal == 0 {
  260. break
  261. }
  262. for _, v := range item.DataList {
  263. if v.DataTime == baseDate {
  264. continue
  265. }
  266. baseDateT, e := time.ParseInLocation(utils.FormatDate, baseDate, time.Local)
  267. if e != nil {
  268. err = fmt.Errorf("time.ParseInLocation err: %v", e)
  269. return
  270. }
  271. tmpT, e := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
  272. if e != nil {
  273. err = fmt.Errorf("time.ParseInLocation err: %v", e)
  274. return
  275. }
  276. // 计算两个日期相差的天数
  277. diff := tmpT.Sub(baseDateT).Hours() / 24 / 365
  278. val := v.Value / baseVal
  279. val = math.Pow(val, 1/diff) - 1
  280. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  281. newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
  282. }
  283. }
  284. }
  285. case 4: //最大值
  286. var maxVal float64
  287. if req.DateRangeType == 0 && req.AutoDateConf.IsAutoStartDate > 0 {
  288. for _, item := range originList {
  289. for _, v := range item.DataList {
  290. calDataList, e := GetAutoCalculateDateDataList(v.DataTime, originDataList, req)
  291. if e != nil {
  292. err = fmt.Errorf("获取区间数据失败:%s", e.Error())
  293. return
  294. }
  295. for kk, vv := range calDataList {
  296. if kk == 0 {
  297. maxVal = vv.Value
  298. }
  299. if vv.Value > maxVal {
  300. maxVal = vv.Value
  301. }
  302. }
  303. val := maxVal
  304. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  305. newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
  306. }
  307. }
  308. } else {
  309. for _, item := range originList {
  310. for k, v := range item.DataList {
  311. if k == 0 {
  312. maxVal = v.Value
  313. }
  314. if v.Value > maxVal {
  315. maxVal = v.Value
  316. }
  317. val := maxVal
  318. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  319. newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
  320. }
  321. }
  322. }
  323. case 5: //最小值
  324. var minVal float64
  325. if req.DateRangeType == 0 && req.AutoDateConf.IsAutoStartDate > 0 {
  326. for _, item := range originList {
  327. for _, v := range item.DataList {
  328. calDataList, e := GetAutoCalculateDateDataList(v.DataTime, originDataList, req)
  329. if e != nil {
  330. err = fmt.Errorf("获取区间数据失败:%s", e.Error())
  331. return
  332. }
  333. for kk, vv := range calDataList {
  334. if kk == 0 {
  335. minVal = vv.Value
  336. }
  337. if vv.Value < minVal {
  338. minVal = vv.Value
  339. }
  340. }
  341. val := minVal
  342. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  343. newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
  344. }
  345. }
  346. } else {
  347. for _, item := range originList {
  348. for k, v := range item.DataList {
  349. if k == 0 {
  350. minVal = v.Value
  351. }
  352. if v.Value < minVal {
  353. minVal = v.Value
  354. }
  355. val := minVal
  356. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  357. newList = append(newList, &data_manage.EdbDataList{DataTime: v.DataTime, Value: val, DataTimestamp: v.DataTimestamp})
  358. }
  359. }
  360. }
  361. }
  362. return
  363. }
  364. // GetChartEdbInfoFormat 区间计算图表-获取指标信息
  365. func GetChartEdbInfoFormat(chartInfoId int, edbInfoMappingList []*data_manage.ChartEdbInfoMapping) (edbList []*data_manage.ChartEdbInfoMapping, err error) {
  366. edbList = make([]*data_manage.ChartEdbInfoMapping, 0)
  367. for _, edbInfoMapping := range edbInfoMappingList {
  368. if edbInfoMapping == nil {
  369. err = fmt.Errorf("指标信息有误")
  370. return
  371. }
  372. edbInfoMapping.FrequencyEn = data.GetFrequencyEn(edbInfoMapping.Frequency)
  373. if edbInfoMapping.Unit == `无` {
  374. edbInfoMapping.Unit = ``
  375. }
  376. if chartInfoId <= 0 {
  377. edbInfoMapping.IsAxis = 1
  378. edbInfoMapping.LeadValue = 0
  379. edbInfoMapping.LeadUnit = ""
  380. edbInfoMapping.ChartEdbMappingId = 0
  381. edbInfoMapping.ChartInfoId = 0
  382. edbInfoMapping.IsOrder = false
  383. edbInfoMapping.EdbInfoType = 1
  384. edbInfoMapping.ChartStyle = ""
  385. edbInfoMapping.ChartColor = ""
  386. edbInfoMapping.ChartWidth = 0
  387. } else {
  388. edbInfoMapping.LeadUnitEn = data.GetLeadUnitEn(edbInfoMapping.LeadUnit)
  389. }
  390. edbList = append(edbList, edbInfoMapping)
  391. }
  392. return
  393. }
  394. // GetChartDataByEdbInfoList 区间计算图表-根据指标信息获取x轴和y轴
  395. func GetChartDataByEdbInfoList(chartInfoId int, dateType, startYear int, startDate, endDate string, edbInfoMappingList []*data_manage.ChartEdbInfoMapping, req *data_manage.ChartRangeAnalysisExtraConf) (edbList []*data_manage.ChartEdbInfoMapping, xEdbIdValue []int, dataResp data_manage.ChartRangeAnalysisDataResp, err error) {
  396. if chartInfoId > 0 && req.EdbInfoMode == 1 {
  397. edbList, xEdbIdValue, dataResp, err = GetChartDataByEdbInfoListBySeries(chartInfoId, dateType, startYear, startDate, endDate, edbInfoMappingList, req)
  398. return
  399. }
  400. for _, edbInfoMapping := range edbInfoMappingList {
  401. edbInfoMapping, err = getChartDataByEdbInfo(edbInfoMapping, req)
  402. if err != nil {
  403. return
  404. }
  405. edbInfoMapping.ConvertUnit = edbInfoMapping.Unit
  406. edbInfoMapping.ConvertEnUnit = edbInfoMapping.UnitEn
  407. if req.CalculateType == 2 || req.CalculateType == 3 {
  408. edbInfoMapping.ConvertUnit = "无"
  409. edbInfoMapping.ConvertEnUnit = "无"
  410. }
  411. if req.DataConvertType > 0 && req.DataConvertConf.Unit != "" {
  412. edbInfoMapping.ConvertUnit = req.DataConvertConf.Unit
  413. edbInfoMapping.ConvertEnUnit = req.DataConvertConf.Unit
  414. }
  415. dataList := edbInfoMapping.DataList.([]*data_manage.EdbDataList)
  416. // 处理上下限
  417. var maxData, minData float64
  418. if len(dataList) > 0 {
  419. maxData = dataList[0].Value
  420. minData = dataList[0].Value
  421. for _, v := range dataList {
  422. if v.Value > maxData {
  423. maxData = v.Value
  424. }
  425. if v.Value < minData {
  426. minData = v.Value
  427. }
  428. }
  429. }
  430. edbInfoMapping.MaxData = maxData
  431. edbInfoMapping.MinData = minData
  432. xEdbIdValue = append(xEdbIdValue, edbInfoMapping.EdbInfoId)
  433. }
  434. //根据时间类型来筛选最终的数据
  435. yearMax := 0
  436. if dateType == utils.DateTypeNYears {
  437. for _, v := range edbInfoMappingList {
  438. dataList := v.DataList.([]*data_manage.EdbDataList)
  439. if len(dataList) > 0 {
  440. latestDate := dataList[0].DataTime
  441. if latestDate != "" {
  442. lastDateT, tErr := time.Parse(utils.FormatDate, latestDate)
  443. if tErr != nil {
  444. err = fmt.Errorf("获取图表日期信息失败,Err:" + tErr.Error())
  445. return
  446. }
  447. if lastDateT.Year() > yearMax {
  448. yearMax = lastDateT.Year()
  449. }
  450. }
  451. }
  452. }
  453. }
  454. startDate, endDate = utils.GetDateByDateTypeV2(dateType, startDate, endDate, startYear, yearMax)
  455. if startDate != "" {
  456. for k, v := range edbInfoMappingList {
  457. var maxData, minData float64
  458. dataList := v.DataList.([]*data_manage.EdbDataList)
  459. newDataList := make([]*data_manage.EdbDataList, 0)
  460. if len(dataList) == 0 {
  461. newDataList = dataList
  462. } else {
  463. firstFlag := true
  464. for _, d := range dataList {
  465. if endDate != "" && d.DataTime > endDate {
  466. continue
  467. }
  468. if d.DataTime < startDate {
  469. continue
  470. }
  471. newDataList = append(newDataList, d)
  472. if firstFlag {
  473. maxData = d.Value
  474. minData = d.Value
  475. firstFlag = false
  476. } else {
  477. if d.Value > maxData {
  478. maxData = d.Value
  479. }
  480. if d.Value < minData {
  481. minData = d.Value
  482. }
  483. }
  484. }
  485. }
  486. edbInfoMappingList[k].DataList = newDataList
  487. edbInfoMappingList[k].MinData = minData
  488. edbInfoMappingList[k].MaxData = maxData
  489. }
  490. }
  491. dataResp = data_manage.ChartRangeAnalysisDataResp{ChartRangeAnalysisExtraConf: req}
  492. if req.MultipleGraphConfigId > 0 {
  493. //判断MultipleGraphConfigId和图表关系是否正确
  494. multipleGraphConfigEdbMappingList, e := data_manage.GetMultipleGraphConfigEdbMappingListByIdAndSource(req.MultipleGraphConfigId, utils.CHART_SOURCE_RANGE_ANALYSIS)
  495. if e != nil && e.Error() != utils.ErrNoRow() {
  496. err = fmt.Errorf("获取区间计算图表, 指标信息失败, Err:" + e.Error())
  497. return
  498. }
  499. if len(multipleGraphConfigEdbMappingList) > 0 {
  500. // 查询指标是否已存在,如果已经被删除了,则返回0值
  501. edbIds := make([]int, 0)
  502. for _, v := range multipleGraphConfigEdbMappingList {
  503. edbIds = append(edbIds, v.EdbInfoId)
  504. }
  505. var condition string
  506. var pars []interface{}
  507. condition = " edb_info_id in (" + utils.GetOrmInReplace(len(edbIds)) + ") "
  508. pars = append(pars, edbIds)
  509. count, _ := data_manage.GetEdbInfoCountByCondition(condition, pars)
  510. if count > 0 {
  511. // 查询是否已经生成指标
  512. dataResp.ConfigEdbNum = len(multipleGraphConfigEdbMappingList)
  513. }
  514. }
  515. }
  516. edbList, err = GetChartEdbInfoFormat(chartInfoId, edbInfoMappingList)
  517. if err != nil {
  518. err = fmt.Errorf("获取区间计算图表, 完善指标信息失败, Err:" + err.Error())
  519. return
  520. }
  521. return
  522. }
  523. 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) {
  524. //查询seriesId
  525. chartSeriesOb := new(data_manage.FactorEdbSeriesChartMapping)
  526. seriesMappingItem, err := chartSeriesOb.GetItemByChartInfoId(chartInfoId)
  527. if err != nil {
  528. if err.Error() == utils.ErrNoRow() {
  529. err = fmt.Errorf("图表关联关系不存在")
  530. return
  531. } else {
  532. err = fmt.Errorf("获取图表关联失败, Err: " + err.Error())
  533. return
  534. }
  535. }
  536. //根据seriesId查询数据
  537. //并把数据放到dataList中
  538. for _, edbInfoMapping := range edbInfoMappingList {
  539. dataOb := new(data_manage.FactorEdbSeriesCalculateDataQjjs)
  540. dataList, e := dataOb.GetEdbDataList(seriesMappingItem.FactorEdbSeriesId, edbInfoMapping.EdbInfoId, startDate, endDate)
  541. if e != nil {
  542. err = e
  543. return
  544. }
  545. edbInfoMapping.ConvertUnit = edbInfoMapping.Unit
  546. edbInfoMapping.ConvertEnUnit = edbInfoMapping.UnitEn
  547. if req.CalculateType == 2 || req.CalculateType == 3 {
  548. edbInfoMapping.ConvertUnit = "无"
  549. edbInfoMapping.ConvertEnUnit = "无"
  550. }
  551. if req.DataConvertType > 0 && req.DataConvertConf.Unit != "" {
  552. edbInfoMapping.ConvertUnit = req.DataConvertConf.Unit
  553. edbInfoMapping.ConvertEnUnit = req.DataConvertConf.Unit
  554. }
  555. edbInfoMapping.DataList = dataList
  556. // 处理上下限
  557. var maxData, minData float64
  558. if len(dataList) > 0 {
  559. maxData = dataList[0].Value
  560. minData = dataList[0].Value
  561. for _, v := range dataList {
  562. if v.Value > maxData {
  563. maxData = v.Value
  564. }
  565. if v.Value < minData {
  566. minData = v.Value
  567. }
  568. }
  569. }
  570. edbInfoMapping.MaxData = maxData
  571. edbInfoMapping.MinData = minData
  572. xEdbIdValue = append(xEdbIdValue, edbInfoMapping.EdbInfoId)
  573. }
  574. yearMax := 0
  575. if dateType == utils.DateTypeNYears {
  576. for _, v := range edbInfoMappingList {
  577. dataList := v.DataList.([]*data_manage.EdbDataList)
  578. latestDate := dataList[0].DataTime
  579. if latestDate != "" {
  580. lastDateT, tErr := time.Parse(utils.FormatDate, latestDate)
  581. if tErr != nil {
  582. err = fmt.Errorf("获取图表日期信息失败,Err:" + tErr.Error())
  583. return
  584. }
  585. if lastDateT.Year() > yearMax {
  586. yearMax = lastDateT.Year()
  587. }
  588. }
  589. }
  590. }
  591. startDate, endDate = utils.GetDateByDateTypeV2(dateType, startDate, endDate, startYear, yearMax)
  592. if startDate != "" {
  593. for k, v := range edbInfoMappingList {
  594. var maxData, minData float64
  595. dataList := v.DataList.([]*data_manage.EdbDataList)
  596. newDataList := make([]*data_manage.EdbDataList, 0)
  597. if len(dataList) == 0 {
  598. newDataList = dataList
  599. } else {
  600. firstFlag := true
  601. for _, d := range dataList {
  602. if endDate != "" && d.DataTime > endDate {
  603. continue
  604. }
  605. if d.DataTime < startDate {
  606. continue
  607. }
  608. newDataList = append(newDataList, d)
  609. if firstFlag {
  610. maxData = d.Value
  611. minData = d.Value
  612. firstFlag = false
  613. } else {
  614. if d.Value > maxData {
  615. maxData = d.Value
  616. }
  617. if d.Value < minData {
  618. minData = d.Value
  619. }
  620. }
  621. }
  622. }
  623. edbInfoMappingList[k].DataList = newDataList
  624. edbInfoMappingList[k].MinData = minData
  625. edbInfoMappingList[k].MaxData = maxData
  626. }
  627. }
  628. dataResp = data_manage.ChartRangeAnalysisDataResp{ChartRangeAnalysisExtraConf: req, SeriesId: seriesMappingItem.FactorEdbSeriesId}
  629. // 查询配置关联关系
  630. if req.MultipleGraphConfigId > 0 {
  631. multipleGraphConfigEdbMappingList, e := data_manage.GetMultipleGraphConfigEdbMappingListByIdAndSource(req.MultipleGraphConfigId, utils.CHART_SOURCE_RANGE_ANALYSIS)
  632. if e != nil && e.Error() != utils.ErrNoRow() {
  633. err = fmt.Errorf("获取区间计算图表, 指标信息失败, Err:" + e.Error())
  634. return
  635. }
  636. if len(multipleGraphConfigEdbMappingList) > 0 {
  637. // 查询指标是否已存在,如果已经被删除了,则返回0值
  638. edbIds := make([]int, 0)
  639. for _, v := range multipleGraphConfigEdbMappingList {
  640. edbIds = append(edbIds, v.EdbInfoId)
  641. }
  642. var condition string
  643. var pars []interface{}
  644. condition = " edb_info_id in (" + utils.GetOrmInReplace(len(edbIds)) + ") "
  645. pars = append(pars, edbIds)
  646. count, _ := data_manage.GetEdbInfoCountByCondition(condition, pars)
  647. if count > 0 {
  648. // 查询是否已经生成指标
  649. dataResp.ConfigEdbNum = len(multipleGraphConfigEdbMappingList)
  650. }
  651. }
  652. }
  653. edbList, err = GetChartEdbInfoFormat(chartInfoId, edbInfoMappingList)
  654. if err != nil {
  655. err = fmt.Errorf("获取区间计算图表, 完善指标信息失败, Err:" + err.Error())
  656. return
  657. }
  658. return
  659. }
  660. // getChartDataByEdbInfo 区间计算图表-根据指标信息获取x轴和y轴
  661. func getChartDataByEdbInfo(edbInfoMapping *data_manage.ChartEdbInfoMapping, req *data_manage.ChartRangeAnalysisExtraConf) (newEdbInfoMapping *data_manage.ChartEdbInfoMapping, err error) {
  662. newEdbInfoMapping = edbInfoMapping
  663. // 指标的开始日期和结束日期
  664. edbStartDateTime, _ := time.ParseInLocation(utils.FormatDate, edbInfoMapping.StartDate, time.Local)
  665. //edbStartDate := edbStartDateTime.AddDate(0, 0, 1).Format(utils.FormatDate)
  666. edbEndDateTime, _ := time.ParseInLocation(utils.FormatDate, edbInfoMapping.EndDate, time.Local)
  667. edbEndDate := edbEndDateTime.AddDate(0, 0, 1).Format(utils.FormatDate)
  668. // 获取时间基准指标在时间区间内的值
  669. dataList := make([]*data_manage.EdbDataList, 0)
  670. switch edbInfoMapping.EdbInfoCategoryType {
  671. case 0:
  672. dataList, err = data_manage.GetEdbDataList(edbInfoMapping.Source, edbInfoMapping.SubSource, edbInfoMapping.EdbInfoId, "", "")
  673. case 1:
  674. _, dataList, _, _, err, _ = data.GetPredictDataListByPredictEdbInfoId(edbInfoMapping.EdbInfoId, "", "", false)
  675. default:
  676. err = errors.New("指标base类型异常")
  677. return
  678. }
  679. /*var dataList data_manage.SortEdbDataList
  680. dataList = dataListTmp
  681. ascDataList := dataListTmp
  682. sort.Sort(dataList)*/
  683. dateList := make([]*data_manage.ChartRangeAnalysisDateDataItem, 0)
  684. switch req.DateRangeType {
  685. case 0:
  686. // 智能划分得到一个开始日期,和结束日期
  687. var startDateTime, endDateTime time.Time
  688. startDateTime = edbStartDateTime
  689. if req.AutoDateConf.IsAutoStartDate == 0 { //固定设置
  690. startDate := req.AutoDateConf.StartDate
  691. if startDate == "" {
  692. startDate = "2020-01-01"
  693. }
  694. startDateTime, _ = time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  695. } /*else {
  696. startConf := req.AutoDateConf.StartDateConf
  697. startDate := ""
  698. if startConf.BaseDateType == 0 { //
  699. startDate = edbEndDate
  700. } else if startConf.BaseDateType == 1 {
  701. startDate = time.Now().Format(utils.FormatDate)
  702. }
  703. if startConf.MoveForward > 0 {
  704. startDate = GetEdbDateByMoveForward(startConf.MoveForward, dataList)
  705. }
  706. if len(startConf.DateChange) > 0 {
  707. startDate, err = HandleEdbDateChange(startDate, startConf.DateChange)
  708. if err != nil {
  709. err = fmt.Errorf("智能划分开始日期处理失败:%s", err.Error())
  710. return
  711. }
  712. }
  713. startDateTime, _ = time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  714. }*/
  715. if req.AutoDateConf.IsAutoEndDate == 0 { //固定设置
  716. endDate := req.AutoDateConf.EndDate
  717. if endDate == "" {
  718. err = fmt.Errorf("智能划分截止日期处理失败:请输入截止日期")
  719. return
  720. }
  721. // todo 如果截止日期比指标日期还要大,则用指标的最新日期
  722. endDateTime, _ = time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  723. } else {
  724. endConf := req.AutoDateConf.EndDateConf
  725. endDate := edbEndDate
  726. if endConf.MoveForward > 0 {
  727. endDate = GetEdbDateByMoveForward(endDate, endConf.MoveForward, dataList)
  728. }
  729. if len(endConf.DateChange) > 0 {
  730. endDate, err = HandleEdbDateChange(endDate, endConf.DateChange)
  731. if err != nil {
  732. err = fmt.Errorf("智能划分结束日期处理失败:%s", err.Error())
  733. return
  734. }
  735. }
  736. endDateTime, _ = time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  737. }
  738. dateList = append(dateList, &data_manage.ChartRangeAnalysisDateDataItem{
  739. StartDate: startDateTime,
  740. EndDate: endDateTime})
  741. case 1:
  742. // 手工划分得到多个开始日期和结束日期(已排序)
  743. for _, v := range req.ManualDateConf {
  744. startDateT, _ := time.ParseInLocation(utils.FormatDate, v.StartDate, time.Local)
  745. endDateT, _ := time.ParseInLocation(utils.FormatDate, v.EndDate, time.Local)
  746. tmp := &data_manage.ChartRangeAnalysisDateDataItem{
  747. StartDate: startDateT,
  748. EndDate: endDateT,
  749. }
  750. dateList = append(dateList, tmp)
  751. }
  752. case 2:
  753. // 跨年划分得到多个开始日期和结束日期
  754. startYear := edbStartDateTime.Year()
  755. endYear := edbEndDateTime.Year()
  756. startDay := req.YearDateConf.StartDay
  757. endDay := req.YearDateConf.EndDay
  758. for year := startYear; year <= endYear; year++ {
  759. startDate := fmt.Sprintf("%d-%s", year, startDay)
  760. endDate := fmt.Sprintf("%d-%s", year+1, endDay)
  761. startDateTime, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  762. endDateTime, _ := time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  763. if startDateTime.Before(edbStartDateTime) {
  764. break
  765. }
  766. tmp := &data_manage.ChartRangeAnalysisDateDataItem{
  767. StartDate: startDateTime,
  768. EndDate: endDateTime,
  769. }
  770. dateList = append(dateList, tmp)
  771. }
  772. }
  773. // 根据日期,获取数据
  774. for _, v := range dateList {
  775. for _, vv := range dataList {
  776. dataTimeT, _ := time.ParseInLocation(utils.FormatDate, vv.DataTime, time.Local)
  777. if dataTimeT.After(v.StartDate) && dataTimeT.Before(v.EndDate) ||
  778. dataTimeT.Equal(v.StartDate) ||
  779. dataTimeT.Equal(v.EndDate) {
  780. v.DataList = append(v.DataList, vv)
  781. }
  782. }
  783. }
  784. // 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
  785. newDataList, err := HandleDataByCalculateType(dateList, dataList, req)
  786. if err != nil {
  787. return
  788. }
  789. if req.UnNormalDataDealType > 0 {
  790. switch req.UnNormalDataDealType { //0:不处理,1:剔除,2替换
  791. case 1:
  792. dealDataList := make([]*data_manage.EdbDataList, 0)
  793. for _, v := range newDataList {
  794. if !utils.CompareFloatByOpStrings(req.UnNormalDataConf.Formula, v.Value, req.UnNormalDataConf.Value) {
  795. dealDataList = append(dealDataList, v)
  796. }
  797. }
  798. case 2:
  799. for i, v := range newDataList {
  800. if utils.CompareFloatByOpStrings(req.UnNormalDataConf.Formula, v.Value, req.UnNormalDataConf.Value) {
  801. newDataList[i].Value = req.UnNormalDataConf.ReplaceValue
  802. }
  803. }
  804. }
  805. }
  806. if req.DataConvertType > 0 {
  807. // 数据转换类型 0不转, 1乘 2除 3对数
  808. switch req.DataConvertType {
  809. case 1:
  810. for i, v := range newDataList {
  811. val := v.Value * req.DataConvertConf.Value
  812. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  813. newDataList[i].Value = val
  814. }
  815. //item.MaxData = item.MaxData * v.ConvertValue
  816. //item.MinData = item.MinData * v.ConvertValue
  817. case 2:
  818. for i, v := range newDataList {
  819. val := v.Value / req.DataConvertConf.Value
  820. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  821. newDataList[i].Value = val
  822. }
  823. //item.MaxData = item.MaxData / v.ConvertValue
  824. //item.MinData = item.MinData / v.ConvertValue
  825. case 3:
  826. for i, v := range newDataList {
  827. if v.Value <= 0 {
  828. err = errors.New("数据中含有负数或0,无法对数运算")
  829. return
  830. }
  831. val := math.Log(v.Value) / math.Log(req.DataConvertConf.Value)
  832. val, _ = decimal.NewFromFloat(val).Round(4).Float64()
  833. newDataList[i].Value = val
  834. }
  835. //item.MaxData = math.Log(item.MaxData) / math.Log(v.ConvertValue)
  836. //item.MinData = math.Log(item.MinData) / math.Log(v.ConvertValue)
  837. }
  838. }
  839. newEdbInfoMapping.DataList = newDataList
  840. //时间处理
  841. return
  842. }
  843. // RollingCorrelationChartDataResp 滚动区间计算图表数据
  844. type RollingCorrelationChartDataResp struct {
  845. MaxData float64
  846. MinData float64
  847. LatestDate string `description:"真实数据的最后日期"`
  848. EdbInfoCategoryType int
  849. ChartColor string
  850. ChartStyle string
  851. PredictChartColor string
  852. ChartType int
  853. ChartWidth int
  854. EdbName string
  855. EdbNameEn string
  856. Unit string
  857. UnitEn string
  858. IsAxis int
  859. DataList []data_manage.EdbDataList
  860. }
  861. // ChartInfoRefresh 图表刷新
  862. func ChartInfoRefresh(chartInfoId int, uniqueCode string) (isAsync bool, err error) {
  863. var errMsg string
  864. defer func() {
  865. if err != nil {
  866. tips := fmt.Sprintf("CorrelationChartInfoRefresh: %s", errMsg)
  867. utils.FileLog.Info(tips)
  868. go alarm_msg.SendAlarmMsg(tips, 3)
  869. }
  870. }()
  871. var chartInfo *data_manage.ChartInfo
  872. if chartInfoId > 0 {
  873. chartInfo, err = data_manage.GetChartInfoById(chartInfoId)
  874. if err != nil {
  875. if err.Error() == utils.ErrNoRow() {
  876. errMsg = "图表已被删除,请刷新页面"
  877. err = errors.New(errMsg)
  878. return
  879. }
  880. errMsg = "获取图表信息失败"
  881. err = errors.New("获取图表信息失败,Err:" + err.Error())
  882. return
  883. }
  884. } else {
  885. chartInfo, err = data_manage.GetChartInfoByUniqueCode(uniqueCode)
  886. if err != nil {
  887. if err.Error() == utils.ErrNoRow() {
  888. errMsg = "图表已被删除,请刷新页面"
  889. err = errors.New(errMsg)
  890. return
  891. }
  892. errMsg = "获取图表信息失败"
  893. err = errors.New("获取图表信息失败,Err:" + err.Error())
  894. return
  895. }
  896. }
  897. // 1.刷新图表关联的指标
  898. mappings, e := data_manage.GetChartEdbMappingList(chartInfoId)
  899. if e != nil {
  900. utils.FileLog.Info(fmt.Sprintf("获取图表关联指标失败, err: %v", e))
  901. return
  902. }
  903. if len(mappings) == 0 {
  904. utils.FileLog.Info("图表无关联指标")
  905. return
  906. }
  907. var edbIds []int
  908. for _, v := range mappings {
  909. edbIds = append(edbIds, v.EdbInfoId)
  910. }
  911. if e, _ = data.EdbInfoRefreshAllFromBaseV3(edbIds, false, true, false); e != nil {
  912. utils.FileLog.Info(fmt.Sprintf("批量刷新指标失败, err: %v", e))
  913. return
  914. }
  915. // todo 重新计算
  916. // 区间计算图表配置校验
  917. var extraConfig data_manage.ChartRangeAnalysisExtraConf
  918. err = json.Unmarshal([]byte(chartInfo.ExtraConfig), &extraConfig)
  919. if err != nil {
  920. errMsg = "配置信息错误"
  921. err = errors.New(errMsg + ", Err: " + err.Error())
  922. return
  923. }
  924. chartSeriesOb := new(data_manage.FactorEdbSeriesChartMapping)
  925. seriesMappingItem, err := chartSeriesOb.GetItemByChartInfoId(chartInfo.ChartInfoId)
  926. if err != nil {
  927. if err.Error() == utils.ErrNoRow() {
  928. err = nil
  929. } else {
  930. err = fmt.Errorf("获取图表关联失败, Err: " + err.Error())
  931. return
  932. }
  933. } else {
  934. _, e = FactorEdbStepCalculateRange(seriesMappingItem.FactorEdbSeriesId, edbIds, extraConfig, true)
  935. if e != nil {
  936. err = fmt.Errorf("计算因子指标失败, Err: " + e.Error())
  937. return
  938. }
  939. }
  940. // 4.清除图表缓存
  941. key := utils.HZ_CHART_LIB_DETAIL + uniqueCode
  942. _ = utils.Rc.Delete(key)
  943. return
  944. }
  945. // AddChartInfo 添加图表
  946. func AddChartInfo(req data_manage.AddChartInfoReq, source int, sysUser *system.Admin, lang string) (chartInfo *data_manage.ChartInfo, err error, errMsg string, isSendEmail bool) {
  947. isSendEmail = true
  948. req.ChartName = strings.Trim(req.ChartName, " ")
  949. if req.ChartName == "" {
  950. errMsg = "请填写图表名称!"
  951. err = errors.New(errMsg)
  952. isSendEmail = false
  953. return
  954. }
  955. if req.ChartClassifyId <= 0 {
  956. errMsg = "分类参数错误!"
  957. err = errors.New(errMsg)
  958. isSendEmail = false
  959. return
  960. }
  961. // 区间计算图表配置校验
  962. var extraConfig data_manage.ChartRangeAnalysisExtraConf
  963. if req.ExtraConfig == `` {
  964. errMsg = "配置信息错误"
  965. err = errors.New(errMsg)
  966. return
  967. }
  968. err = json.Unmarshal([]byte(req.ExtraConfig), &extraConfig)
  969. if err != nil {
  970. errMsg = "配置信息错误"
  971. err = errors.New(errMsg + ", Err: " + err.Error())
  972. return
  973. }
  974. if len(req.ChartEdbInfoList) <= 0 {
  975. errMsg = "请选择指标"
  976. err = errors.New(errMsg)
  977. isSendEmail = false
  978. return
  979. }
  980. if len(req.ChartEdbInfoList) > 100 {
  981. errMsg = "添加指标总数量不得超过100"
  982. err = errors.New(errMsg)
  983. isSendEmail = false
  984. return
  985. }
  986. err, errMsg, isSendEmail = CheckChartRangeExtraConfig(extraConfig)
  987. if err != nil {
  988. return
  989. }
  990. chartClassify, err := data_manage.GetChartClassifyById(req.ChartClassifyId)
  991. if err != nil {
  992. if err.Error() == utils.ErrNoRow() {
  993. errMsg = "分类不存在"
  994. err = errors.New(errMsg)
  995. isSendEmail = false
  996. return
  997. }
  998. errMsg = "获取分类信息失败"
  999. err = errors.New("获取分类信息失败,Err:" + err.Error())
  1000. return
  1001. }
  1002. if chartClassify == nil {
  1003. errMsg = "分类不存在"
  1004. err = errors.New(errMsg)
  1005. isSendEmail = false
  1006. return
  1007. }
  1008. var edbInfoIdArr []int
  1009. for _, v := range req.ChartEdbInfoList {
  1010. edbInfoId := v.EdbInfoId
  1011. edbInfo, tmpErr := data_manage.GetEdbInfoById(edbInfoId)
  1012. if tmpErr != nil {
  1013. if tmpErr.Error() == utils.ErrNoRow() {
  1014. errMsg = "指标不存在!"
  1015. err = errors.New("指标不存在,edbInfoId:" + strconv.Itoa(edbInfoId))
  1016. return
  1017. } else {
  1018. errMsg = "获取指标信息失败!"
  1019. err = errors.New("获取图表的指标信息失败,Err:" + tmpErr.Error())
  1020. return
  1021. }
  1022. }
  1023. if edbInfo == nil {
  1024. errMsg = "指标已被删除,请重新选择!"
  1025. err = errors.New("指标不存在,ChartInfoId:" + strconv.Itoa(edbInfoId))
  1026. return
  1027. } else {
  1028. if edbInfo.EdbInfoId <= 0 {
  1029. errMsg = "指标已被删除,请重新选择!"
  1030. err = errors.New("指标不存在,ChartInfoId:" + strconv.Itoa(edbInfoId))
  1031. return
  1032. }
  1033. }
  1034. edbInfoIdArr = append(edbInfoIdArr, edbInfoId)
  1035. edbInfo.EdbNameSource = edbInfo.EdbName
  1036. }
  1037. sort.Ints(edbInfoIdArr)
  1038. var edbInfoIdArrStr []string
  1039. for _, v := range edbInfoIdArr {
  1040. edbInfoIdArrStr = append(edbInfoIdArrStr, strconv.Itoa(v))
  1041. }
  1042. edbInfoIdStr := strings.Join(edbInfoIdArrStr, ",")
  1043. var chartInfoId int
  1044. // 判断图表是否存在
  1045. {
  1046. var condition string
  1047. var pars []interface{}
  1048. switch lang {
  1049. case utils.EnLangVersion:
  1050. condition += " AND chart_name_en = ? AND source = ? "
  1051. default:
  1052. condition += " AND chart_name=? AND source = ? "
  1053. }
  1054. pars = append(pars, req.ChartName, source)
  1055. count, tmpErr := data_manage.GetChartInfoCountByCondition(condition, pars)
  1056. if tmpErr != nil {
  1057. errMsg = "判断图表名称是否存在失败"
  1058. err = errors.New("判断图表名称是否存在失败,Err:" + tmpErr.Error())
  1059. return
  1060. }
  1061. if count > 0 {
  1062. errMsg = "图表已存在,请重新填写"
  1063. err = errors.New(errMsg)
  1064. isSendEmail = false
  1065. return
  1066. }
  1067. }
  1068. disableVal := data.CheckIsDisableChart(edbInfoIdArr)
  1069. chartInfo = new(data_manage.ChartInfo)
  1070. chartInfo.ChartName = req.ChartName
  1071. chartInfo.ChartNameEn = req.ChartName
  1072. chartInfo.EdbInfoIds = edbInfoIdStr
  1073. chartInfo.ChartClassifyId = req.ChartClassifyId
  1074. chartInfo.SysUserId = sysUser.AdminId
  1075. chartInfo.SysUserRealName = sysUser.RealName
  1076. chartInfo.CreateTime = time.Now()
  1077. chartInfo.ModifyTime = time.Now()
  1078. chartInfo.IsSetName = 0
  1079. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1080. chartInfo.UniqueCode = utils.MD5(utils.CHART_PREFIX + "_" + timestamp)
  1081. chartInfo.ChartType = 1 // 区间计算图
  1082. chartInfo.Calendar = "公历"
  1083. chartInfo.DateType = req.DateType
  1084. chartInfo.StartDate = req.StartDate
  1085. chartInfo.EndDate = req.EndDate
  1086. chartInfo.StartYear = req.StartYear
  1087. chartInfo.SeasonStartDate = req.StartDate
  1088. chartInfo.SeasonEndDate = req.EndDate
  1089. chartInfo.LeftMin = req.LeftMin
  1090. chartInfo.LeftMax = req.LeftMax
  1091. chartInfo.RightMin = req.RightMin
  1092. chartInfo.RightMax = req.RightMax
  1093. chartInfo.Disabled = disableVal
  1094. chartInfo.Source = source
  1095. chartInfo.ChartThemeId = req.ChartThemeId
  1096. chartInfo.SourcesFrom = req.SourcesFrom
  1097. chartInfo.Instructions = req.Instructions
  1098. chartInfo.MarkersLines = req.MarkersLines
  1099. chartInfo.MarkersAreas = req.MarkersAreas
  1100. if req.ExtraConfig != "" {
  1101. chartInfo.ExtraConfig = req.ExtraConfig
  1102. }
  1103. // 指标信息
  1104. mapList := make([]*data_manage.ChartEdbMapping, 0)
  1105. for _, v := range req.ChartEdbInfoList {
  1106. // todo 指标名称修改
  1107. mapItem := new(data_manage.ChartEdbMapping)
  1108. mapItem.EdbInfoId = v.EdbInfoId
  1109. mapItem.EdbAliasName = v.EdbAliasName
  1110. mapItem.IsAxis = v.IsAxis
  1111. mapItem.CreateTime = time.Now()
  1112. mapItem.ModifyTime = time.Now()
  1113. edbTimestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1114. mapItem.UniqueCode = utils.MD5(utils.CHART_PREFIX + "_" + edbTimestamp + "_" + strconv.Itoa(v.EdbInfoId))
  1115. mapItem.IsOrder = false
  1116. mapItem.EdbInfoType = 1
  1117. mapItem.Source = utils.CHART_SOURCE_RANGE_ANALYSIS
  1118. mapList = append(mapList, mapItem)
  1119. }
  1120. // 新增图表和指标mapping
  1121. chartInfoId, e := data_manage.CreateRangeChartAndEdb(chartInfo, mapList)
  1122. if e != nil {
  1123. errMsg = "操作失败"
  1124. err = errors.New("新增区间计算图表失败, Err: " + e.Error())
  1125. return
  1126. }
  1127. // 把系列和图表绑定
  1128. if extraConfig.EdbInfoMode == 1 {
  1129. // 新增指标系列
  1130. err = AddSeries(edbInfoIdArr, chartInfoId, utils.CHART_SOURCE_RANGE_ANALYSIS, extraConfig, req.ExtraConfig)
  1131. if err != nil {
  1132. errMsg = "操作失败"
  1133. err = errors.New("新增区间计算图表失败, Err: " + err.Error())
  1134. return
  1135. }
  1136. //todo 如果保存失败是否要删除
  1137. }
  1138. /*//添加配置信息
  1139. multipleGraphConfig := &data_manage.MultipleGraphConfig{
  1140. //MultipleGraphConfigId: 0,
  1141. SysUserId: sysUser.AdminId,
  1142. SysUserRealName: sysUser.RealName,
  1143. ModifyTime: time.Now(),
  1144. CreateTime: time.Now(),
  1145. }
  1146. err = data_manage.AddMultipleGraphConfig(multipleGraphConfig)
  1147. if err != nil {
  1148. errMsg = "操作失败"
  1149. err = errors.New("新增区间计算图表配置失败, Err: " + err.Error())
  1150. return
  1151. }*/
  1152. if extraConfig.MultipleGraphConfigId > 0 {
  1153. multipleGraphConfigChartMapping := &data_manage.MultipleGraphConfigChartMapping{
  1154. //Id: 0,
  1155. MultipleGraphConfigId: extraConfig.MultipleGraphConfigId,
  1156. ChartInfoId: chartInfo.ChartInfoId,
  1157. Source: utils.CHART_SOURCE_RANGE_ANALYSIS,
  1158. ModifyTime: time.Now(),
  1159. CreateTime: time.Now(),
  1160. }
  1161. err = data_manage.AddMultipleGraphConfigChartMapping(multipleGraphConfigChartMapping)
  1162. if err != nil {
  1163. errMsg = "操作失败"
  1164. err = errors.New("新增区间计算图表和配置关联关系失败, Err: " + err.Error())
  1165. return
  1166. }
  1167. }
  1168. // 添加指标引用记录
  1169. _ = data.SaveChartEdbInfoRelation(edbInfoIdArr, chartInfo)
  1170. //添加es数据
  1171. go data.EsAddOrEditChartInfo(chartInfoId)
  1172. return
  1173. }
  1174. // EditChartInfo 编辑图表
  1175. func EditChartInfo(req data_manage.EditChartInfoReq, sysUser *system.Admin, lang string) (chartItem *data_manage.ChartInfo, err error, errMsg string, isSendEmail bool) {
  1176. isSendEmail = true
  1177. chartItem, err = data_manage.GetChartInfoById(req.ChartInfoId)
  1178. if err != nil {
  1179. if err.Error() == utils.ErrNoRow() {
  1180. errMsg = "图表已被删除,请刷新页面"
  1181. err = errors.New(errMsg)
  1182. isSendEmail = false
  1183. return
  1184. }
  1185. errMsg = "获取图表信息失败"
  1186. err = errors.New("获取图表信息失败,Err:" + err.Error())
  1187. return
  1188. }
  1189. if chartItem.Source != utils.CHART_SOURCE_RANGE_ANALYSIS {
  1190. errMsg = "该图不是区间计算图表!"
  1191. err = errors.New(errMsg)
  1192. isSendEmail = false
  1193. return
  1194. }
  1195. req.ChartName = strings.Trim(req.ChartName, " ")
  1196. if req.ChartClassifyId <= 0 {
  1197. errMsg = "分类参数错误!"
  1198. err = errors.New(errMsg)
  1199. isSendEmail = false
  1200. return
  1201. }
  1202. // 区间计算图表配置校验
  1203. var extraConfig data_manage.ChartRangeAnalysisExtraConf
  1204. if req.ExtraConfig == `` {
  1205. errMsg = "配置信息错误"
  1206. err = errors.New(errMsg)
  1207. return
  1208. }
  1209. err = json.Unmarshal([]byte(req.ExtraConfig), &extraConfig)
  1210. if err != nil {
  1211. errMsg = "配置信息错误"
  1212. err = errors.New(errMsg)
  1213. return
  1214. }
  1215. if len(req.ChartEdbInfoList) <= 0 {
  1216. errMsg = "请选择指标"
  1217. err = errors.New(errMsg)
  1218. isSendEmail = false
  1219. return
  1220. }
  1221. extraConfig.SeriesName = strings.TrimSpace(extraConfig.SeriesName)
  1222. if len(req.ChartEdbInfoList) > 100 {
  1223. errMsg = "添加指标总数量不得超过100"
  1224. err = errors.New(errMsg)
  1225. isSendEmail = false
  1226. return
  1227. }
  1228. err, errMsg, isSendEmail = CheckChartRangeExtraConfig(extraConfig)
  1229. if err != nil {
  1230. return
  1231. }
  1232. chartClassify, err := data_manage.GetChartClassifyById(req.ChartClassifyId)
  1233. if err != nil {
  1234. if err.Error() == utils.ErrNoRow() {
  1235. errMsg = "分类不存在"
  1236. err = errors.New(errMsg)
  1237. isSendEmail = false
  1238. return
  1239. }
  1240. errMsg = "获取分类信息失败"
  1241. err = errors.New("获取分类信息失败,Err:" + err.Error())
  1242. return
  1243. }
  1244. if chartClassify == nil {
  1245. errMsg = "分类不存在"
  1246. err = errors.New(errMsg)
  1247. isSendEmail = false
  1248. return
  1249. }
  1250. // 图表操作权限
  1251. ok := data.CheckOpChartPermission(sysUser, chartItem.SysUserId, true)
  1252. if !ok {
  1253. errMsg = "没有该图表的操作权限"
  1254. err = errors.New(errMsg)
  1255. isSendEmail = false
  1256. return
  1257. }
  1258. var edbInfoIdArr []int
  1259. for _, v := range req.ChartEdbInfoList {
  1260. edbInfoId := v.EdbInfoId
  1261. edbInfo, tmpErr := data_manage.GetEdbInfoById(edbInfoId)
  1262. if tmpErr != nil {
  1263. if tmpErr.Error() == utils.ErrNoRow() {
  1264. errMsg = "图表不存在!"
  1265. err = errors.New("图表指标不存在,ChartInfoId:" + strconv.Itoa(edbInfoId))
  1266. return
  1267. } else {
  1268. errMsg = "获取图表信息失败!"
  1269. err = errors.New("获取图表的指标信息失败,Err:" + tmpErr.Error())
  1270. return
  1271. }
  1272. }
  1273. if edbInfo == nil {
  1274. errMsg = "指标不存在!"
  1275. err = errors.New("指标不存在,ChartInfoId:" + strconv.Itoa(edbInfoId))
  1276. return
  1277. }
  1278. edbInfoIdArr = append(edbInfoIdArr, edbInfoId)
  1279. }
  1280. sort.Ints(edbInfoIdArr)
  1281. var edbInfoIdArrStr []string
  1282. for _, v := range edbInfoIdArr {
  1283. edbInfoIdArrStr = append(edbInfoIdArrStr, strconv.Itoa(v))
  1284. }
  1285. edbInfoIdStr := strings.Join(edbInfoIdArrStr, ",")
  1286. //判断图表是否存在
  1287. {
  1288. var condition string
  1289. var pars []interface{}
  1290. condition += " AND chart_info_id <> ? "
  1291. pars = append(pars, req.ChartInfoId)
  1292. switch lang {
  1293. case utils.EnLangVersion:
  1294. condition += " AND chart_name_en = ? AND source = ? "
  1295. default:
  1296. condition += " AND chart_name=? AND source = ? "
  1297. }
  1298. pars = append(pars, req.ChartName, chartItem.Source)
  1299. count, tmpErr := data_manage.GetChartInfoCountByCondition(condition, pars)
  1300. if tmpErr != nil {
  1301. errMsg = "判断图表名称是否存在失败"
  1302. err = errors.New("判断图表名称是否存在失败,Err:" + tmpErr.Error())
  1303. return
  1304. }
  1305. if count > 0 {
  1306. errMsg = "图表已存在,请重新填写"
  1307. err = errors.New(errMsg)
  1308. isSendEmail = false
  1309. return
  1310. }
  1311. }
  1312. // 修改图表与指标mapping
  1313. req.ChartType = 1
  1314. dateType := req.DateType
  1315. err = data_manage.EditRangeChartInfoAndMapping(&req, edbInfoIdStr, lang, "公历", dateType, 0, ``)
  1316. if err != nil {
  1317. errMsg = "保存失败"
  1318. err = errors.New("保存失败,Err:" + err.Error())
  1319. return
  1320. }
  1321. addSeries := false
  1322. chartSeriesOb := new(data_manage.FactorEdbSeriesChartMapping)
  1323. seriesMappingItem, err := chartSeriesOb.GetItemByChartInfoId(chartItem.ChartInfoId)
  1324. if err != nil {
  1325. if err.Error() == utils.ErrNoRow() {
  1326. err = nil
  1327. addSeries = true
  1328. } else {
  1329. err = fmt.Errorf("获取图表关联失败, Err: " + err.Error())
  1330. return
  1331. }
  1332. }
  1333. if extraConfig.EdbInfoMode == 1 {
  1334. if addSeries {
  1335. // 新增指标系列
  1336. err = AddSeries(edbInfoIdArr, chartItem.ChartInfoId, utils.CHART_SOURCE_RANGE_ANALYSIS, extraConfig, req.ExtraConfig)
  1337. if err != nil {
  1338. errMsg = "操作失败"
  1339. err = errors.New("新增区间计算图表失败, Err: " + err.Error())
  1340. return
  1341. }
  1342. } else {
  1343. err = EditSeries(seriesMappingItem, edbInfoIdArr, extraConfig, req.ExtraConfig, true)
  1344. if err != nil {
  1345. errMsg = "保存失败"
  1346. err = errors.New("保存失败,Err:" + err.Error())
  1347. return
  1348. }
  1349. }
  1350. // todo 编辑失败处理
  1351. } else if extraConfig.EdbInfoMode == 0 {
  1352. if !addSeries {
  1353. // 删除相关的系列
  1354. factorSeriesOb := new(data_manage.FactorEdbSeries)
  1355. err = factorSeriesOb.RemoveSeriesAndMappingByFactorEdbSeriesId(seriesMappingItem)
  1356. if err != nil {
  1357. errMsg = "保存失败"
  1358. err = errors.New("保存失败,Err:" + err.Error())
  1359. return
  1360. }
  1361. }
  1362. }
  1363. resp := new(data_manage.AddChartInfoResp)
  1364. resp.ChartInfoId = chartItem.ChartInfoId
  1365. resp.UniqueCode = chartItem.UniqueCode
  1366. resp.ChartType = req.ChartType
  1367. // 添加指标引用记录
  1368. _ = data.SaveChartEdbInfoRelation(edbInfoIdArr, chartItem)
  1369. //添加es数据
  1370. go data.EsAddOrEditChartInfo(chartItem.ChartInfoId)
  1371. //修改my eta es数据
  1372. go data.EsAddOrEditMyChartInfoByChartInfoId(chartItem.ChartInfoId)
  1373. return
  1374. }
  1375. // CopyChartInfo 复制图表
  1376. 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) {
  1377. isSendEmail = true
  1378. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1379. var extraConfig data_manage.ChartRangeAnalysisExtraConf
  1380. err = json.Unmarshal([]byte(oldChartInfo.ExtraConfig), &extraConfig)
  1381. if err != nil {
  1382. errMsg = "配置信息错误"
  1383. err = errors.New(errMsg + ", Err: " + err.Error())
  1384. return
  1385. }
  1386. extraConfig.MultipleGraphConfigId = 0
  1387. newExtraConfigBytes, err := json.Marshal(extraConfig)
  1388. if err != nil {
  1389. errMsg = "配置信息错误"
  1390. err = errors.New(errMsg + ", Err: " + err.Error())
  1391. return
  1392. }
  1393. newExtraConfig := string(newExtraConfigBytes)
  1394. chartInfo = &data_manage.ChartInfo{
  1395. ChartInfoId: 0,
  1396. ChartName: chartName,
  1397. ChartClassifyId: classifyId,
  1398. SysUserId: sysUser.AdminId,
  1399. SysUserRealName: sysUser.RealName,
  1400. UniqueCode: utils.MD5(utils.CHART_PREFIX + "_" + timestamp),
  1401. CreateTime: time.Now(),
  1402. ModifyTime: time.Now(),
  1403. DateType: oldChartInfo.DateType,
  1404. StartDate: oldChartInfo.StartDate,
  1405. EndDate: oldChartInfo.EndDate,
  1406. IsSetName: oldChartInfo.IsSetName,
  1407. EdbInfoIds: oldChartInfo.EdbInfoIds,
  1408. ChartType: oldChartInfo.ChartType,
  1409. Calendar: oldChartInfo.Calendar,
  1410. SeasonStartDate: oldChartInfo.SeasonStartDate,
  1411. SeasonEndDate: oldChartInfo.SeasonEndDate,
  1412. ChartImage: oldChartInfo.ChartImage,
  1413. BarConfig: oldChartInfo.BarConfig,
  1414. //Sort: sort,
  1415. LeftMin: oldChartInfo.LeftMin,
  1416. LeftMax: oldChartInfo.LeftMax,
  1417. RightMin: oldChartInfo.RightMin,
  1418. RightMax: oldChartInfo.RightMax,
  1419. Right2Min: oldChartInfo.Right2Min,
  1420. Right2Max: oldChartInfo.Right2Max,
  1421. Disabled: oldChartInfo.Disabled,
  1422. Source: oldChartInfo.Source,
  1423. ExtraConfig: newExtraConfig,
  1424. SeasonExtraConfig: oldChartInfo.SeasonExtraConfig,
  1425. StartYear: oldChartInfo.StartYear,
  1426. Unit: oldChartInfo.Unit,
  1427. UnitEn: oldChartInfo.UnitEn,
  1428. ChartThemeId: oldChartInfo.ChartThemeId,
  1429. SourcesFrom: oldChartInfo.SourcesFrom,
  1430. Instructions: oldChartInfo.Instructions,
  1431. MarkersLines: oldChartInfo.MarkersLines,
  1432. MarkersAreas: oldChartInfo.MarkersAreas,
  1433. }
  1434. newId, err := data_manage.AddChartInfo(chartInfo)
  1435. if err != nil {
  1436. err = fmt.Errorf("保存失败,Err:%s", err.Error())
  1437. return
  1438. }
  1439. chartInfo.ChartInfoId = int(newId)
  1440. edbInfoMappingList, err := data_manage.GetChartMappingList(oldChartInfo.ChartInfoId)
  1441. if err != nil {
  1442. err = fmt.Errorf("获取图表,指标信息失败,Err:" + err.Error())
  1443. return
  1444. }
  1445. // 添加图表与指标的关联关系
  1446. edbInfoIdArr := make([]int, 0)
  1447. {
  1448. mapList := make([]*data_manage.ChartEdbMapping, 0)
  1449. for _, v := range edbInfoMappingList {
  1450. edbInfoIdArr = append(edbInfoIdArr, v.EdbInfoId)
  1451. timestamp = strconv.FormatInt(time.Now().UnixNano(), 10)
  1452. mapItem := &data_manage.ChartEdbMapping{
  1453. //ChartEdbMappingId: 0,
  1454. ChartInfoId: chartInfo.ChartInfoId,
  1455. EdbInfoId: v.EdbInfoId,
  1456. CreateTime: time.Now(),
  1457. ModifyTime: time.Now(),
  1458. UniqueCode: utils.MD5(utils.CHART_PREFIX + "_" + timestamp),
  1459. MaxData: v.MaxData,
  1460. MinData: v.MinData,
  1461. IsOrder: v.IsOrder,
  1462. IsAxis: v.IsAxis,
  1463. EdbInfoType: v.EdbInfoType,
  1464. LeadValue: v.LeadValue,
  1465. LeadUnit: v.LeadUnit,
  1466. ChartStyle: v.ChartStyle,
  1467. ChartColor: v.ChartColor,
  1468. ChartWidth: v.ChartWidth,
  1469. Source: v.Source,
  1470. EdbAliasName: v.EdbAliasName,
  1471. IsConvert: v.IsConvert,
  1472. ConvertType: v.ConvertType,
  1473. ConvertValue: v.ConvertValue,
  1474. ConvertUnit: v.ConvertEnUnit,
  1475. ConvertEnUnit: v.ConvertEnUnit,
  1476. }
  1477. mapList = append(mapList, mapItem)
  1478. }
  1479. err = data_manage.AddChartEdbMapping(mapList)
  1480. if err != nil {
  1481. err = fmt.Errorf("保存失败,Err:%s", err.Error())
  1482. return
  1483. }
  1484. }
  1485. // 添加系列和图表映射
  1486. chartSeriesOb := new(data_manage.FactorEdbSeriesChartMapping)
  1487. _, err = chartSeriesOb.GetItemByChartInfoId(oldChartInfo.ChartInfoId)
  1488. if err != nil {
  1489. if err.Error() == utils.ErrNoRow() {
  1490. err = nil
  1491. } else {
  1492. err = fmt.Errorf("获取图表关联失败, Err: " + err.Error())
  1493. return
  1494. }
  1495. } else {
  1496. // 新增指标系列
  1497. // 区间计算图表配置校验
  1498. err = AddSeries(edbInfoIdArr, chartInfo.ChartInfoId, utils.CHART_SOURCE_RANGE_ANALYSIS, extraConfig, chartInfo.ExtraConfig)
  1499. if err != nil {
  1500. errMsg = "操作失败"
  1501. err = errors.New("新增区间计算图表失败, Err: " + err.Error())
  1502. return
  1503. }
  1504. }
  1505. //添加es数据
  1506. go data.EsAddOrEditChartInfo(chartInfo.ChartInfoId)
  1507. return
  1508. }
  1509. /*
  1510. // CalculateCorrelation 计算区间计算-获取x轴和y轴
  1511. func CalculateCorrelation(leadValue int, leadUnit, frequencyA, frequencyB string, dataListA, dataListB []*data_manage.EdbDataList) (xEdbIdValue []int, yDataList []data_manage.YData, err error) {
  1512. xData := make([]int, 0)
  1513. yData := make([]float64, 0)
  1514. if leadValue == 0 {
  1515. xData = append(xData, 0)
  1516. }
  1517. if leadValue > 0 {
  1518. leadMin := 0 - leadValue
  1519. xLen := 2*leadValue + 1
  1520. for i := 0; i < xLen; i++ {
  1521. n := leadMin + i
  1522. xData = append(xData, n)
  1523. }
  1524. }
  1525. // 计算窗口,不包含第一天
  1526. //startDateTime, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  1527. //startDate = startDateTime.AddDate(0, 0, 1).Format(utils.FormatDate)
  1528. //// 2023-03-02 时间序列始终以指标B为基准, 始终是A进行平移
  1529. //baseEdbInfo := edbInfoMappingB
  1530. //changeEdbInfo := edbInfoMappingA
  1531. // 2023-03-17 时间序列始终以指标A为基准, 始终是B进行平移
  1532. //baseEdbInfo := edbInfoMappingA
  1533. //changeEdbInfo := edbInfoMappingB
  1534. // 获取时间基准指标在时间区间内的值
  1535. //aDataList := make([]*data_manage.EdbDataList, 0)
  1536. //switch baseEdbInfo.EdbInfoCategoryType {
  1537. //case 0:
  1538. // aDataList, err = data_manage.GetEdbDataList(baseEdbInfo.Source, baseEdbInfo.SubSource, baseEdbInfo.EdbInfoId, startDate, endDate)
  1539. //case 1:
  1540. // _, aDataList, _, _, err, _ = data.GetPredictDataListByPredictEdbInfoId(baseEdbInfo.EdbInfoId, startDate, endDate, false)
  1541. //default:
  1542. // err = errors.New("指标base类型异常")
  1543. // return
  1544. //}
  1545. //
  1546. //// 获取变频指标所有日期的值, 插值法完善数据
  1547. //bDataList := make([]*data_manage.EdbDataList, 0)
  1548. //switch changeEdbInfo.EdbInfoCategoryType {
  1549. //case 0:
  1550. // bDataList, err = data_manage.GetEdbDataList(changeEdbInfo.Source, changeEdbInfo.SubSource, changeEdbInfo.EdbInfoId, "", "")
  1551. //case 1:
  1552. // _, bDataList, _, _, err, _ = data.GetPredictDataListByPredictEdbInfoId(changeEdbInfo.EdbInfoId, "", "", false)
  1553. //default:
  1554. // err = errors.New("指标change类型异常")
  1555. // return
  1556. //}
  1557. //changeDataMap := make(map[string]float64)
  1558. //newChangeDataList, e := HandleDataByLinearRegression(bDataList, changeDataMap)
  1559. //if e != nil {
  1560. // err = fmt.Errorf("获取变频指标插值法Map失败, Err: %s", e.Error())
  1561. // return
  1562. //}
  1563. // 2023-03-17 时间序列始终以指标A为基准, 始终是B进行平移
  1564. baseDataList := make([]*data_manage.EdbDataList, 0)
  1565. baseDataMap := make(map[string]float64)
  1566. changeDataList := make([]*data_manage.EdbDataList, 0)
  1567. changeDataMap := make(map[string]float64)
  1568. // 先把低频指标升频为高频
  1569. {
  1570. frequencyIntMap := map[string]int{
  1571. "日度": 1,
  1572. "周度": 2,
  1573. "旬度": 3,
  1574. "月度": 4,
  1575. "季度": 5,
  1576. "年度": 6,
  1577. }
  1578. // 如果A指标是高频,那么就需要对B指标进行升频
  1579. if frequencyIntMap[frequencyA] < frequencyIntMap[frequencyB] {
  1580. tmpNewChangeDataList, e := HandleDataByLinearRegression(dataListB, changeDataMap)
  1581. if e != nil {
  1582. err = fmt.Errorf("获取变频指标插值法Map失败, Err: %s", e.Error())
  1583. return
  1584. }
  1585. changeDataList = tmpNewChangeDataList
  1586. baseDataList = dataListA
  1587. for _, v := range baseDataList {
  1588. baseDataMap[v.DataTime] = v.Value
  1589. }
  1590. } else if frequencyIntMap[frequencyA] > frequencyIntMap[frequencyB] {
  1591. // 如果B指标是高频,那么就需要对A指标进行升频
  1592. tmpNewChangeDataList, e := HandleDataByLinearRegression(dataListA, baseDataMap)
  1593. if e != nil {
  1594. err = fmt.Errorf("获取变频指标插值法Map失败, Err: %s", e.Error())
  1595. return
  1596. }
  1597. baseDataList = tmpNewChangeDataList
  1598. changeDataList = dataListB
  1599. for _, v := range changeDataList {
  1600. changeDataMap[v.DataTime] = v.Value
  1601. }
  1602. } else {
  1603. baseDataList = dataListA
  1604. for _, v := range baseDataList {
  1605. baseDataMap[v.DataTime] = v.Value
  1606. }
  1607. changeDataList = dataListB
  1608. for _, v := range changeDataList {
  1609. changeDataMap[v.DataTime] = v.Value
  1610. }
  1611. }
  1612. }
  1613. // 计算不领先也不滞后时的相关系数
  1614. baseCalculateData := make([]float64, 0)
  1615. baseDataTimeArr := make([]string, 0)
  1616. for i := range baseDataList {
  1617. baseDataTimeArr = append(baseDataTimeArr, baseDataList[i].DataTime)
  1618. baseCalculateData = append(baseCalculateData, baseDataList[i].Value)
  1619. }
  1620. //zeroBaseData := make([]float64, 0)
  1621. //zeroCalculateData := make([]float64, 0)
  1622. //for i := range baseDataTimeArr {
  1623. // tmpBaseVal, ok1 := baseDataMap[baseDataTimeArr[i]]
  1624. // tmpCalculateVal, ok2 := changeDataMap[baseDataTimeArr[i]]
  1625. // if ok1 && ok2 {
  1626. // zeroBaseData = append(zeroBaseData, tmpBaseVal)
  1627. // zeroCalculateData = append(zeroCalculateData, tmpCalculateVal)
  1628. // }
  1629. //}
  1630. //if len(zeroBaseData) != len(zeroCalculateData) {
  1631. // err = fmt.Errorf("相关系数两组序列元素数不一致, %d-%d", len(baseCalculateData), len(zeroCalculateData))
  1632. // return
  1633. //}
  1634. //zeroRatio := utils.CalculateCorrelationByIntArr(zeroBaseData, zeroCalculateData)
  1635. //if leadValue == 0 {
  1636. // yData = append(yData, zeroRatio)
  1637. //}
  1638. // 计算领先/滞后N期
  1639. if leadValue > 0 {
  1640. // 平移变频指标领先/滞后的日期(单位天)
  1641. moveUnitDays := utils.FrequencyDaysMap[leadUnit]
  1642. for i := range xData {
  1643. //if xData[i] == 0 {
  1644. // yData = append(yData, zeroRatio)
  1645. // continue
  1646. //}
  1647. xCalculateData := make([]float64, 0)
  1648. yCalculateData := make([]float64, 0)
  1649. // 平移指定天数
  1650. mDays := int(moveUnitDays) * xData[i]
  1651. _, dMap := MoveDataDaysToNewDataList(changeDataList, mDays)
  1652. // 取出对应的基准日期的值
  1653. for i2 := range baseDataTimeArr {
  1654. tmpDate := baseDataTimeArr[i2]
  1655. if yVal, ok := dMap[tmpDate]; ok {
  1656. xCalculateData = append(xCalculateData, baseCalculateData[i2])
  1657. yCalculateData = append(yCalculateData, yVal)
  1658. }
  1659. }
  1660. if len(yCalculateData) <= 0 {
  1661. //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))
  1662. //return
  1663. // 领先滞后后,没有可以计算的数据了
  1664. continue
  1665. }
  1666. // 公式计算出领先/滞后频度对应点的区间计算系数
  1667. ratio := utils.CalculateCorrelationByIntArr(xCalculateData, yCalculateData)
  1668. yData = append(yData, ratio)
  1669. }
  1670. }
  1671. xEdbIdValue = xData
  1672. yDataList = make([]data_manage.YData, 0)
  1673. yDate := "0000-00-00"
  1674. yDataList = append(yDataList, data_manage.YData{
  1675. Date: yDate,
  1676. Value: yData,
  1677. })
  1678. return
  1679. }
  1680. // GetFactorChartDataByChartId 获取多因子区间计算图表数据
  1681. func GetFactorChartDataByChartId(chartInfoId int, extraConfig string) (xEdbIdValue []int, yDataList []data_manage.YData, err error) {
  1682. if chartInfoId <= 0 {
  1683. return
  1684. }
  1685. // 指标对应的图例
  1686. extra := new(data_manage.CorrelationChartInfoExtraConfig)
  1687. if extraConfig != "" {
  1688. if e := json.Unmarshal([]byte(extraConfig), extra); e != nil {
  1689. err = fmt.Errorf("解析图表额外配置失败, err: %v", e)
  1690. return
  1691. }
  1692. }
  1693. legends := make(map[string]*data_manage.CorrelationChartLegend)
  1694. if extra != nil {
  1695. for _, v := range extra.LegendConfig {
  1696. s := fmt.Sprintf("%d-%d", v.SeriesId, v.EdbInfoId)
  1697. legends[s] = v
  1698. }
  1699. }
  1700. // 获取图表引用到的系列指标
  1701. chartMappingOb := new(data_manage.FactorEdbSeriesChartMapping)
  1702. cond := fmt.Sprintf(" AND %s = ? AND %s = 1", chartMappingOb.Cols().ChartInfoId, chartMappingOb.Cols().EdbUsed)
  1703. pars := make([]interface{}, 0)
  1704. pars = append(pars, chartInfoId)
  1705. chartMappings, e := chartMappingOb.GetItemsByCondition(cond, pars, []string{}, "")
  1706. if e != nil {
  1707. err = fmt.Errorf("获取图表引用系列指标失败")
  1708. return
  1709. }
  1710. // 取出计算结果
  1711. yDataList = make([]data_manage.YData, 0)
  1712. yDate := "0000-00-00"
  1713. for k, m := range chartMappings {
  1714. var values []data_manage.FactorEdbSeriesCorrelationMatrixValues
  1715. if m.CalculateData != "" {
  1716. e = json.Unmarshal([]byte(m.CalculateData), &values)
  1717. if e != nil {
  1718. err = fmt.Errorf("系列指标计算数据有误, err: %v", e)
  1719. return
  1720. }
  1721. }
  1722. var y []float64
  1723. for _, v := range values {
  1724. if k == 0 {
  1725. xEdbIdValue = append(xEdbIdValue, v.XData)
  1726. }
  1727. y = append(y, v.YData)
  1728. }
  1729. var yData data_manage.YData
  1730. yData.Date = yDate
  1731. yData.Value = y
  1732. yData.SeriesEdb.SeriesId = m.FactorEdbSeriesId
  1733. yData.SeriesEdb.EdbInfoId = m.EdbInfoId
  1734. // 图例
  1735. s := fmt.Sprintf("%d-%d", m.FactorEdbSeriesId, m.EdbInfoId)
  1736. legend := legends[s]
  1737. if legend != nil {
  1738. yData.Name = legend.LegendName
  1739. yData.Color = legend.Color
  1740. }
  1741. yDataList = append(yDataList, yData)
  1742. }
  1743. return
  1744. }
  1745. // FormatChartEdbInfoMappings 补充指标信息
  1746. func FormatChartEdbInfoMappings(chartInfoId int, mappings []*data_manage.ChartEdbInfoMapping) (edbList []*data_manage.ChartEdbInfoMapping, err error) {
  1747. edbList = make([]*data_manage.ChartEdbInfoMapping, 0)
  1748. if len(mappings) == 0 {
  1749. return
  1750. }
  1751. for _, v := range mappings {
  1752. if chartInfoId <= 0 {
  1753. v.IsAxis = 1
  1754. v.LeadValue = 0
  1755. v.LeadUnit = ""
  1756. v.ChartEdbMappingId = 0
  1757. v.ChartInfoId = 0
  1758. v.IsOrder = false
  1759. v.EdbInfoType = 1
  1760. v.ChartStyle = ""
  1761. v.ChartColor = ""
  1762. v.ChartWidth = 0
  1763. } else {
  1764. v.LeadUnitEn = data.GetLeadUnitEn(v.LeadUnit)
  1765. v.LeadUnitEn = data.GetLeadUnitEn(v.LeadUnit)
  1766. }
  1767. v.FrequencyEn = data.GetFrequencyEn(v.Frequency)
  1768. if v.Unit == `无` {
  1769. v.Unit = ``
  1770. }
  1771. edbList = append(edbList, v)
  1772. }
  1773. return
  1774. }*/
  1775. func GetEdbDateByMoveForward(startDate string, moveForward int, edbDataList []*data_manage.EdbDataList) (date string) {
  1776. // 根据日期进行排序
  1777. index := 0
  1778. length := len(edbDataList)
  1779. for i := length - 1; i >= 0; i-- {
  1780. item := edbDataList[i]
  1781. if item.DataTime == startDate {
  1782. index += 1
  1783. continue
  1784. }
  1785. if index >= moveForward {
  1786. date = item.DataTime
  1787. break
  1788. }
  1789. if index > 0 {
  1790. index += 1
  1791. date = item.DataTime
  1792. }
  1793. }
  1794. return
  1795. }
  1796. // HandleEdbDateChange 处理日期变换
  1797. func HandleEdbDateChange(date string, dateChange []*data_manage.EdbDataDateChangeConf) (newDate string, err error) {
  1798. newDate = date
  1799. if newDate != "" {
  1800. if len(dateChange) > 0 {
  1801. var dateTime time.Time
  1802. dateTime, err = time.ParseInLocation(utils.FormatDate, newDate, time.Local)
  1803. if err != nil {
  1804. err = fmt.Errorf("日期解析失败: %s", err.Error())
  1805. return
  1806. }
  1807. for _, v := range dateChange {
  1808. if v.ChangeType == 1 {
  1809. dateTime = dateTime.AddDate(v.Year, v.Month, v.Day)
  1810. newDate = dateTime.Format(utils.FormatDate)
  1811. } else if v.ChangeType == 2 {
  1812. newDate, err, _ = utils.HandleSystemAppointDateT(dateTime, v.FrequencyDay, v.Frequency)
  1813. if err != nil {
  1814. return
  1815. }
  1816. dateTime, err = time.ParseInLocation(utils.FormatDate, newDate, time.Local)
  1817. if err != nil {
  1818. err = fmt.Errorf("日期解析失败: %s", err.Error())
  1819. return
  1820. }
  1821. }
  1822. }
  1823. }
  1824. }
  1825. return
  1826. }
  1827. // 添加指标系列和数据
  1828. func AddSeries(edbInfoIds []int, chartInfoId, chartInfoSource int, extraConf data_manage.ChartRangeAnalysisExtraConf, calculatesJson string) (err error) {
  1829. edbArr, e := data_manage.GetEdbInfoByIdList(edbInfoIds)
  1830. if e != nil {
  1831. err = fmt.Errorf("获取指标列表失败, Err: " + e.Error())
  1832. return
  1833. }
  1834. if len(edbArr) == 0 {
  1835. err = fmt.Errorf("获取指标列表失败, 指标不存在")
  1836. return
  1837. }
  1838. edbInfoType := edbArr[0].EdbInfoType
  1839. // 新增指标系列
  1840. seriesItem := new(data_manage.FactorEdbSeries)
  1841. seriesItem.SeriesName = extraConf.SeriesName
  1842. seriesItem.EdbInfoType = edbInfoType
  1843. seriesItem.CreateTime = time.Now().Local()
  1844. seriesItem.ModifyTime = time.Now().Local()
  1845. seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculating
  1846. seriesItem.CalculateStep = calculatesJson
  1847. mappings := make([]*data_manage.FactorEdbSeriesMapping, 0)
  1848. for _, v := range edbArr {
  1849. mappings = append(mappings, &data_manage.FactorEdbSeriesMapping{
  1850. EdbInfoId: v.EdbInfoId,
  1851. EdbCode: v.EdbCode,
  1852. CreateTime: time.Now().Local(),
  1853. ModifyTime: time.Now().Local(),
  1854. })
  1855. }
  1856. seriesId, e := seriesItem.CreateSeriesAndMapping(seriesItem, mappings)
  1857. if e != nil {
  1858. err = fmt.Errorf("新增因子指标系列失败, Err: " + e.Error())
  1859. return
  1860. }
  1861. // 图表关联-此处添加的chart_info_id=0
  1862. seriesChartMapping := new(data_manage.FactorEdbSeriesChartMapping)
  1863. seriesChartMapping.CalculateType = data_manage.FactorEdbSeriesChartCalculateTypeRange
  1864. //新增图表和指标的映射关系
  1865. seriesChartMapping.CalculateData = ""
  1866. seriesChartMapping.FactorEdbSeriesId = seriesId
  1867. seriesChartMapping.ChartInfoId = chartInfoId
  1868. seriesChartMapping.Source = chartInfoSource
  1869. seriesChartMapping.CreateTime = time.Now().Local()
  1870. seriesChartMapping.ModifyTime = time.Now().Local()
  1871. if e = seriesChartMapping.Create(); e != nil {
  1872. err = fmt.Errorf("新增图表关联失败, Err: " + e.Error())
  1873. return
  1874. }
  1875. // todo 计算指标数据并存储
  1876. _, e = FactorEdbStepCalculateRange(seriesId, edbInfoIds, extraConf, false)
  1877. if e != nil {
  1878. err = fmt.Errorf("计算因子指标失败, Err: " + e.Error())
  1879. return
  1880. }
  1881. // 更新系列计算状态
  1882. cols := []string{seriesItem.Cols().CalculateState, seriesItem.Cols().ModifyTime}
  1883. seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculated
  1884. seriesItem.ModifyTime = time.Now().Local()
  1885. if e = seriesItem.Update(cols); e != nil {
  1886. err = fmt.Errorf("更新因子指标系列计算状态失败, Err: " + e.Error())
  1887. return
  1888. }
  1889. return
  1890. }
  1891. func EditSeries(seriesMapping *data_manage.FactorEdbSeriesChartMapping, edbInfoIds []int, extraConf data_manage.ChartRangeAnalysisExtraConf, calculatesJson string, recalculate bool) (err error) {
  1892. seriesOb := new(data_manage.FactorEdbSeries)
  1893. seriesItem, e := seriesOb.GetItemById(seriesMapping.FactorEdbSeriesId)
  1894. if e != nil {
  1895. if e.Error() == utils.ErrNoRow() {
  1896. err = fmt.Errorf("因子指标系列不存在, Err: " + e.Error())
  1897. return
  1898. }
  1899. err = fmt.Errorf("获取因子指标系列失败, Err: " + e.Error())
  1900. return
  1901. }
  1902. edbArr, e := data_manage.GetEdbInfoByIdList(edbInfoIds)
  1903. if e != nil {
  1904. err = fmt.Errorf("获取指标列表失败, Err: " + e.Error())
  1905. return
  1906. }
  1907. if len(edbArr) == 0 {
  1908. err = fmt.Errorf("指标列表为空")
  1909. return
  1910. }
  1911. var calculateResp data_manage.FactorEdbSeriesStepCalculateResp
  1912. calculateResp.SeriesId = seriesItem.FactorEdbSeriesId
  1913. // 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
  1914. seriesItem.SeriesName = extraConf.SeriesName
  1915. seriesItem.EdbInfoType = edbArr[0].EdbInfoType
  1916. seriesItem.ModifyTime = time.Now().Local()
  1917. updateCols := []string{seriesOb.Cols().SeriesName, seriesOb.Cols().EdbInfoType, seriesOb.Cols().ModifyTime}
  1918. if !recalculate {
  1919. if e = seriesItem.Update(updateCols); e != nil {
  1920. err = fmt.Errorf("更新因子指标系列失败, Err: " + e.Error())
  1921. return
  1922. }
  1923. return
  1924. }
  1925. // 更新系列信息和指标关联
  1926. seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculating
  1927. seriesItem.CalculateStep = calculatesJson
  1928. updateCols = append(updateCols, seriesOb.Cols().CalculateState, seriesOb.Cols().CalculateStep)
  1929. mappings := make([]*data_manage.FactorEdbSeriesMapping, 0)
  1930. for _, v := range edbArr {
  1931. mappings = append(mappings, &data_manage.FactorEdbSeriesMapping{
  1932. EdbInfoId: v.EdbInfoId,
  1933. EdbCode: v.EdbCode,
  1934. CreateTime: time.Now().Local(),
  1935. ModifyTime: time.Now().Local(),
  1936. })
  1937. }
  1938. if e = seriesItem.EditSeriesAndMapping(seriesItem, mappings, updateCols); e != nil {
  1939. err = fmt.Errorf("更新因子指标系列信息失败, Err: %s", e.Error())
  1940. return
  1941. }
  1942. // todo 重新计算
  1943. _, e = FactorEdbStepCalculateRange(seriesItem.FactorEdbSeriesId, edbInfoIds, extraConf, false)
  1944. if e != nil {
  1945. err = fmt.Errorf("计算因子指标失败, Err: " + e.Error())
  1946. return
  1947. }
  1948. // 更新系列计算状态
  1949. cols := []string{seriesItem.Cols().CalculateState, seriesItem.Cols().ModifyTime}
  1950. seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculated
  1951. seriesItem.ModifyTime = time.Now().Local()
  1952. if e = seriesItem.Update(cols); e != nil {
  1953. err = fmt.Errorf("更新因子指标系列计算状态失败, Err: %s", e.Error())
  1954. return
  1955. }
  1956. return
  1957. }
  1958. // FactorEdbStepCalculateRange 因子指标-区间计算
  1959. func FactorEdbStepCalculateRange(seriesId int, edbArr []int, extraConf data_manage.ChartRangeAnalysisExtraConf, recalculate bool) (calculateResp data_manage.FactorEdbSeriesStepCalculateResp, err error) {
  1960. // todo 如果指标已保存,则用指标数据还是图表指标数据?
  1961. // 获取图表x轴y轴
  1962. defer func() {
  1963. if err != nil {
  1964. tips := fmt.Sprintf("StepCalculate计算失败, ErrMsg: %v", err)
  1965. fmt.Println(tips)
  1966. utils.FileLog.Info(tips)
  1967. go alarm_msg.SendAlarmMsg(tips, 3)
  1968. }
  1969. /*if len(calculateResp.Fail) > 0 {
  1970. tips := "StepCalculate计算失败, ErrMsg: "
  1971. for _, f := range calculateResp.Fail {
  1972. tips += fmt.Sprintf("code: %s, err: %s\n", f.EdbCode, f.ErrMsg)
  1973. }
  1974. fmt.Println(tips)
  1975. utils.FileLog.Info(tips)
  1976. go alarm_msg.SendAlarmMsg(tips, 2)
  1977. }*/
  1978. }()
  1979. edbInfoMappingList, e := data_manage.GetChartEdbMappingListByEdbInfoIdList(edbArr)
  1980. if e != nil {
  1981. err = fmt.Errorf("获取区间计算图表, A指标mapping信息失败, Err:%v", e)
  1982. return
  1983. }
  1984. _, _, _, err = GetChartDataByEdbInfoList(0, 0, 0, "", "", edbInfoMappingList, &extraConf)
  1985. if err != nil {
  1986. err = fmt.Errorf("获取图表数据失败, ErrMsg: %v", err)
  1987. return
  1988. }
  1989. // 重新计算-先清除原数据
  1990. calculateDataOb := new(data_manage.FactorEdbSeriesCalculateDataQjjs)
  1991. cond := fmt.Sprintf("%s = ?", calculateDataOb.Cols().FactorEdbSeriesId)
  1992. pars := make([]interface{}, 0)
  1993. pars = append(pars, seriesId)
  1994. if e := calculateDataOb.RemoveByCondition(cond, pars); e != nil {
  1995. err = fmt.Errorf("清除原数据失败, err: %v", e)
  1996. return
  1997. }
  1998. // 计算成功的保存结果
  1999. dataArr := make([]*data_manage.FactorEdbSeriesCalculateDataQjjs, 0)
  2000. for _, v := range edbInfoMappingList {
  2001. dataList := v.DataList.([]*data_manage.EdbDataList)
  2002. for _, dataItem := range dataList {
  2003. dataTime, _ := time.ParseInLocation(utils.FormatDate, dataItem.DataTime, time.Local)
  2004. dataArr = append(dataArr, &data_manage.FactorEdbSeriesCalculateDataQjjs{
  2005. FactorEdbSeriesId: seriesId,
  2006. EdbInfoId: v.EdbInfoId,
  2007. EdbCode: v.EdbCode,
  2008. DataTime: dataTime,
  2009. Value: dataItem.Value,
  2010. CreateTime: time.Now().Local(),
  2011. ModifyTime: time.Now().Local(),
  2012. DataTimestamp: dataItem.DataTimestamp,
  2013. })
  2014. }
  2015. }
  2016. if len(dataArr) == 0 {
  2017. err = fmt.Errorf("计算结果无数据, seriesId: %d", seriesId)
  2018. return
  2019. }
  2020. if e = calculateDataOb.CreateMulti(dataArr); e != nil {
  2021. err = fmt.Errorf("保存计算结果失败, seriesId: %d, err: %v, ", seriesId, e)
  2022. return
  2023. }
  2024. return
  2025. }
  2026. func CheckChartRangeExtraConfig(extraConfig data_manage.ChartRangeAnalysisExtraConf) (err error, errMsg string, isSendEmail bool) {
  2027. extraConfig.SeriesName = strings.TrimSpace(extraConfig.SeriesName)
  2028. if extraConfig.SeriesName == "" && extraConfig.EdbInfoMode == 1 {
  2029. errMsg = "请输入指标系列名称"
  2030. err = errors.New(errMsg)
  2031. isSendEmail = false
  2032. return
  2033. }
  2034. if extraConfig.CalculateType > 5 || extraConfig.CalculateType < 0 {
  2035. errMsg = "计算方式参数错误"
  2036. err = errors.New(errMsg)
  2037. isSendEmail = false
  2038. return
  2039. }
  2040. switch extraConfig.DateRangeType {
  2041. case 0:
  2042. case 1:
  2043. if len(extraConfig.ManualDateConf) == 0 {
  2044. errMsg = "请选择时间区间"
  2045. err = errors.New(errMsg)
  2046. return
  2047. }
  2048. // 先按开始时间排序
  2049. sort.Sort(data_manage.ChartRangeAnalysisManualDateConfList(extraConfig.ManualDateConf))
  2050. // 校验日期
  2051. // 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
  2052. // 2.时间区间不能重叠
  2053. for i := 1; i < len(extraConfig.ManualDateConf); i++ {
  2054. start1, e := time.Parse(utils.FormatDate, extraConfig.ManualDateConf[i-1].EndDate)
  2055. if e != nil {
  2056. err = e
  2057. errMsg = "截止日期格式有误"
  2058. return
  2059. }
  2060. start2, e := time.Parse(utils.FormatDate, extraConfig.ManualDateConf[i].EndDate)
  2061. if e != nil {
  2062. err = e
  2063. errMsg = "截止日期格式有误"
  2064. return
  2065. }
  2066. start3, e := time.Parse(utils.FormatDate, extraConfig.ManualDateConf[i].StartDate)
  2067. if e != nil {
  2068. err = e
  2069. errMsg = "截止日期格式有误"
  2070. return
  2071. }
  2072. // 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
  2073. if !start2.After(start1) || start3.Before(start1) {
  2074. errMsg = "日期区间存在重叠"
  2075. return
  2076. }
  2077. }
  2078. //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
  2079. case 2:
  2080. if extraConfig.YearDateConf.StartDay == "" || extraConfig.YearDateConf.EndDay == "" {
  2081. errMsg = "请选择时间区间"
  2082. return
  2083. }
  2084. if _, e := time.Parse(utils.FormatMonthDay, extraConfig.YearDateConf.StartDay); e != nil {
  2085. errMsg = "开始日期格式有误"
  2086. return
  2087. }
  2088. if _, e := time.Parse(utils.FormatMonthDay, extraConfig.YearDateConf.EndDay); e != nil {
  2089. errMsg = "结束日期格式有误"
  2090. return
  2091. }
  2092. }
  2093. return
  2094. }