base_from_predict_calculate.go 36 KB

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  1. package controllers
  2. import (
  3. "encoding/json"
  4. "fmt"
  5. "hongze/hongze_edb_lib/logic"
  6. "hongze/hongze_edb_lib/models"
  7. "hongze/hongze_edb_lib/services"
  8. "hongze/hongze_edb_lib/utils"
  9. "strconv"
  10. "strings"
  11. "time"
  12. )
  13. // PredictCalculateController 预测计算指标
  14. type PredictCalculateController struct {
  15. BaseAuthController
  16. }
  17. // Save
  18. // @Title 新增/编辑预测指标运算接口
  19. // @Description 新增预测指标运算接口
  20. // @Success 200 {object} models.EdbInfoCalculateSaveReq
  21. // @router /save [post]
  22. func (this *PredictCalculateController) Save() {
  23. br := new(models.BaseResponse).Init()
  24. defer func() {
  25. this.Data["json"] = br
  26. this.ServeJSON()
  27. }()
  28. var req models.EdbInfoCalculateSaveReq
  29. err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
  30. if err != nil {
  31. br.Msg = "参数解析异常!"
  32. br.ErrMsg = "参数解析失败,Err:" + err.Error()
  33. return
  34. }
  35. if req.EdbInfoId <= 0 {
  36. addPredictCalculate(br, req)
  37. } else {
  38. editPredictCalculate(br, req)
  39. }
  40. }
  41. // AddPredictCalculate 添加预测指标运算
  42. func addPredictCalculate(br *models.BaseResponse, req models.EdbInfoCalculateSaveReq) {
  43. req.EdbName = strings.Trim(req.EdbName, " ")
  44. if req.EdbName == "" {
  45. br.Msg = "指标名称不能为空"
  46. return
  47. }
  48. if req.Frequency == "" {
  49. br.Msg = "频率不能为空"
  50. return
  51. }
  52. if req.Unit == "" {
  53. br.Msg = "单位不能为空"
  54. return
  55. }
  56. if req.ClassifyId <= 0 {
  57. br.Msg = "请选择分类"
  58. return
  59. }
  60. if len(req.EdbInfoIdArr) <= 0 {
  61. br.Msg = "请选择指标"
  62. return
  63. }
  64. if req.CalculateFormula == "" {
  65. br.Msg = "请填写指标"
  66. return
  67. }
  68. //加入缓存机制,避免创建同一个名称的指标 start
  69. redisKey := fmt.Sprint("predict_edb_info:calculate:batch:save:", utils.DATA_SOURCE_PREDICT_CALCULATE, ":", req.EdbName)
  70. isExist := utils.Rc.IsExist(redisKey)
  71. if isExist {
  72. br.Msg = "指标正在处理,请勿重复提交"
  73. return
  74. } else {
  75. //设置3分钟缓存
  76. utils.Rc.SetNX(redisKey, 1, time.Second*300)
  77. defer func() {
  78. _ = utils.Rc.Delete(redisKey)
  79. }()
  80. }
  81. calculateFormula := req.CalculateFormula
  82. calculateFormula = strings.Replace(calculateFormula, "(", "(", -1)
  83. calculateFormula = strings.Replace(calculateFormula, ")", ")", -1)
  84. calculateFormula = strings.Replace(calculateFormula, ",", ",", -1)
  85. calculateFormula = strings.Replace(calculateFormula, "。", ".", -1)
  86. if strings.Contains(req.CalculateFormula, "%") {
  87. calculateFormula = strings.Replace(calculateFormula, "%", "*0.01", -1)
  88. }
  89. req.CalculateFormula = calculateFormula
  90. //检验公式
  91. var formulaStr string
  92. var edbInfoIdBytes []string
  93. for _, v := range req.EdbInfoIdArr {
  94. formulaStr += v.FromTag + ","
  95. edbInfoIdBytes = append(edbInfoIdBytes, v.FromTag)
  96. }
  97. formulaMap := services.CheckFormula(req.CalculateFormula)
  98. for _, v := range formulaMap {
  99. if !strings.Contains(formulaStr, v) {
  100. br.Msg = "公式错误,请重新填写"
  101. return
  102. }
  103. }
  104. // 判断指标名称是否存在
  105. {
  106. var condition string
  107. var pars []interface{}
  108. // 指标类型,0:普通指标,1:预测指标
  109. condition += " AND edb_info_type=? AND edb_name=? "
  110. pars = append(pars, 1, req.EdbName)
  111. count, err := models.GetEdbInfoCountByCondition(condition, pars)
  112. if err != nil {
  113. br.Msg = "判断指标名称是否存在失败"
  114. br.ErrMsg = "判断指标名称是否存在失败,Err:" + err.Error()
  115. return
  116. }
  117. if count > 0 {
  118. br.Msg = "指标名称已存在,请重新填写"
  119. br.ErrMsg = "指标名称已存在,请重新填写"
  120. return
  121. }
  122. }
  123. // 关联指标信息
  124. edbInfoList := make([]*models.EdbInfo, 0)
  125. calculateMappingList := make([]*models.EdbInfoCalculateMapping, 0)
  126. for k, v := range req.EdbInfoIdArr {
  127. fromEdbInfo, err := models.GetEdbInfoById(v.EdbInfoId)
  128. if err != nil {
  129. if err.Error() == utils.ErrNoRow() {
  130. br.Msg = "生成计算指标失败"
  131. br.Msg = "指标 " + strconv.Itoa(v.EdbInfoId) + " 不存在"
  132. return
  133. }
  134. br.Msg = "生成计算指标失败"
  135. br.Msg = "获取指标失败:Err:" + err.Error()
  136. return
  137. }
  138. edbInfoList = append(edbInfoList, fromEdbInfo)
  139. //关联关系表
  140. {
  141. calculateMappingItem := &models.EdbInfoCalculateMapping{
  142. CreateTime: time.Now(),
  143. ModifyTime: time.Now(),
  144. Sort: k + 1,
  145. //EdbCode: edbCode,
  146. //EdbInfoId: int(edbInfoId),
  147. FromEdbInfoId: fromEdbInfo.EdbInfoId,
  148. FromEdbCode: fromEdbInfo.EdbCode,
  149. FromEdbName: fromEdbInfo.EdbName,
  150. FromSource: fromEdbInfo.Source,
  151. FromSourceName: fromEdbInfo.SourceName,
  152. FromTag: v.FromTag,
  153. Source: utils.DATA_SOURCE_PREDICT_CALCULATE,
  154. SourceName: "预测指标运算",
  155. }
  156. calculateMappingList = append(calculateMappingList, calculateMappingItem)
  157. }
  158. }
  159. //预先计算,判断公式是否正常
  160. ok, _ := models.CheckFormula2(edbInfoList, formulaMap, calculateFormula, edbInfoIdBytes)
  161. if !ok {
  162. br.Msg = "生成计算指标失败,请使用正确的计算公式"
  163. return
  164. }
  165. // 指标入库
  166. randStr := utils.GetRandDigit(4)
  167. edbCode := `C2` + time.Now().Format("060102") + randStr
  168. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  169. uniqueCode := utils.MD5(utils.DATA_PREFIX + "_" + timestamp)
  170. edbInfo := &models.EdbInfo{
  171. EdbInfoType: 1,
  172. Source: utils.DATA_SOURCE_PREDICT_CALCULATE,
  173. SourceName: "预测指标运算",
  174. EdbCode: edbCode,
  175. EdbName: req.EdbName,
  176. EdbNameSource: req.EdbName,
  177. Frequency: req.Frequency,
  178. Unit: req.Unit,
  179. ClassifyId: req.ClassifyId,
  180. SysUserId: req.AdminId,
  181. SysUserRealName: req.AdminName,
  182. CreateTime: time.Now(),
  183. ModifyTime: time.Now(),
  184. UniqueCode: uniqueCode,
  185. CalculateFormula: req.CalculateFormula,
  186. EdbType: 2,
  187. }
  188. edbInfoId, err := models.AddEdbInfo(edbInfo)
  189. if err != nil {
  190. br.Msg = "生成计算指标失败"
  191. br.Msg = "生成计算指标失败,AddEdbInfo Err:" + err.Error()
  192. return
  193. }
  194. edbInfo.EdbInfoId = int(edbInfoId)
  195. //处理同名指标
  196. {
  197. edbNameList, err := models.GetEdbInfoByName(req.EdbName)
  198. if err != nil {
  199. br.Msg = "保存失败"
  200. br.ErrMsg = "获取指标信息失败,Err:" + err.Error()
  201. return
  202. }
  203. if len(edbNameList) >= 2 {
  204. for _, v := range edbNameList {
  205. edbName := v.EdbName + "(" + v.SourceName + ")"
  206. err = models.ModifyEdbInfoNameSource(edbName, v.EdbInfoId)
  207. if err != nil {
  208. br.Msg = "保存失败"
  209. br.ErrMsg = "修改指标名称失败,Err:" + err.Error()
  210. return
  211. }
  212. }
  213. }
  214. }
  215. //关联关系表入库
  216. {
  217. if len(calculateMappingList) > 0 {
  218. for k, v := range calculateMappingList {
  219. v.EdbCode = edbInfo.EdbCode
  220. v.EdbInfoId = edbInfo.EdbInfoId
  221. calculateMappingList[k] = v
  222. }
  223. go models.AddEdbInfoCalculateMappingMulti(calculateMappingList)
  224. }
  225. }
  226. // 开始添加预测指标
  227. latestDateStr, latestValue, err := models.AddPredictCalculateData(edbInfoList, edbInfo, edbCode, req.CalculateFormula, edbInfoIdBytes)
  228. if err != nil {
  229. br.Msg = "生成计算指标失败"
  230. br.Msg = "生成计算指标失败,Calculate Err:" + err.Error()
  231. return
  232. }
  233. // 更新指标最大最小值
  234. err, errMsg := models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  235. if err != nil {
  236. br.Msg = errMsg
  237. br.ErrMsg = err.Error()
  238. return
  239. }
  240. resp := models.AddEdbInfoResp{
  241. EdbInfoId: int(edbInfoId),
  242. UniqueCode: uniqueCode,
  243. }
  244. br.Ret = 200
  245. br.Success = true
  246. br.Msg = "保存成功"
  247. br.Data = resp
  248. br.IsAddLog = true
  249. }
  250. // editPredictCalculate 编辑预测指标运算
  251. func editPredictCalculate(br *models.BaseResponse, req models.EdbInfoCalculateSaveReq) {
  252. req.EdbName = strings.Trim(req.EdbName, " ")
  253. if req.EdbName == "" {
  254. br.Msg = "指标名称不能为空"
  255. return
  256. }
  257. if req.Frequency == "" {
  258. br.Msg = "频率不能为空"
  259. return
  260. }
  261. if req.Unit == "" {
  262. br.Msg = "单位不能为空"
  263. return
  264. }
  265. if req.ClassifyId <= 0 {
  266. br.Msg = "请选择分类"
  267. return
  268. }
  269. if len(req.EdbInfoIdArr) <= 0 {
  270. br.Msg = "请选择指标"
  271. return
  272. }
  273. if req.CalculateFormula == "" {
  274. br.Msg = "请填写指标"
  275. return
  276. }
  277. //加入缓存机制,避免创建同一个名称的指标 start
  278. redisKey := fmt.Sprint("predict_edb_info:calculate:batch:save:", utils.DATA_SOURCE_PREDICT_CALCULATE, ":", req.EdbName)
  279. isExist := utils.Rc.IsExist(redisKey)
  280. if isExist {
  281. br.Msg = "指标正在处理,请勿重复提交"
  282. return
  283. } else {
  284. //设置3分钟缓存
  285. utils.Rc.SetNX(redisKey, 1, time.Second*300)
  286. defer func() {
  287. _ = utils.Rc.Delete(redisKey)
  288. }()
  289. }
  290. calculateFormula := req.CalculateFormula
  291. calculateFormula = strings.Replace(calculateFormula, "(", "(", -1)
  292. calculateFormula = strings.Replace(calculateFormula, ")", ")", -1)
  293. calculateFormula = strings.Replace(calculateFormula, ",", ",", -1)
  294. calculateFormula = strings.Replace(calculateFormula, "。", ".", -1)
  295. if strings.Contains(req.CalculateFormula, "%") {
  296. calculateFormula = strings.Replace(calculateFormula, "%", "*0.01", -1)
  297. }
  298. req.CalculateFormula = calculateFormula
  299. //检验公式
  300. var formulaStr string
  301. var edbInfoIdBytes []string
  302. for _, v := range req.EdbInfoIdArr {
  303. formulaStr += v.FromTag + ","
  304. edbInfoIdBytes = append(edbInfoIdBytes, v.FromTag)
  305. }
  306. formulaMap := services.CheckFormula(req.CalculateFormula)
  307. for _, v := range formulaMap {
  308. if !strings.Contains(formulaStr, v) {
  309. br.Msg = "公式错误,请重新填写"
  310. return
  311. }
  312. }
  313. // 获取计算指标信息
  314. edbInfo, err := models.GetEdbInfoById(req.EdbInfoId)
  315. if err != nil {
  316. br.Msg = "获取指标信息失败"
  317. br.ErrMsg = "获取指标信息失败,Err:" + err.Error()
  318. return
  319. }
  320. // 判断指标名称是否存在
  321. {
  322. var condition string
  323. var pars []interface{}
  324. // 指标类型,0:普通指标,1:预测指标
  325. condition += " AND edb_info_id !=? AND edb_info_type=? AND edb_name=? "
  326. pars = append(pars, edbInfo.EdbInfoId, edbInfo.EdbInfoType, req.EdbName)
  327. count, err := models.GetEdbInfoCountByCondition(condition, pars)
  328. if err != nil {
  329. br.Msg = "判断指标名称是否存在失败"
  330. br.ErrMsg = "判断指标名称是否存在失败,Err:" + err.Error()
  331. return
  332. }
  333. if count > 0 {
  334. br.Msg = "指标名称已存在,请重新填写"
  335. br.ErrMsg = "指标名称已存在,请重新填写"
  336. return
  337. }
  338. }
  339. // 关联指标信息
  340. edbInfoList := make([]*models.EdbInfo, 0)
  341. calculateMappingList := make([]*models.EdbInfoCalculateMapping, 0)
  342. for k, v := range req.EdbInfoIdArr {
  343. fromEdbInfo, err := models.GetEdbInfoById(v.EdbInfoId)
  344. if err != nil {
  345. if err.Error() == utils.ErrNoRow() {
  346. br.Msg = "生成计算指标失败"
  347. br.Msg = "指标 " + strconv.Itoa(v.EdbInfoId) + " 不存在"
  348. return
  349. }
  350. br.Msg = "生成计算指标失败"
  351. br.Msg = "获取指标失败:Err:" + err.Error()
  352. return
  353. }
  354. edbInfoList = append(edbInfoList, fromEdbInfo)
  355. //关联关系表
  356. {
  357. calculateMappingItem := &models.EdbInfoCalculateMapping{
  358. CreateTime: time.Now(),
  359. ModifyTime: time.Now(),
  360. Sort: k + 1,
  361. EdbCode: edbInfo.EdbCode,
  362. EdbInfoId: edbInfo.EdbInfoId,
  363. FromEdbInfoId: fromEdbInfo.EdbInfoId,
  364. FromEdbCode: fromEdbInfo.EdbCode,
  365. FromEdbName: fromEdbInfo.EdbName,
  366. FromSource: fromEdbInfo.Source,
  367. FromSourceName: fromEdbInfo.SourceName,
  368. FromTag: v.FromTag,
  369. Source: utils.DATA_SOURCE_PREDICT_CALCULATE,
  370. SourceName: "预测指标运算",
  371. }
  372. calculateMappingList = append(calculateMappingList, calculateMappingItem)
  373. }
  374. }
  375. //预先计算,判断公式是否正常
  376. ok, _ := models.CheckFormula2(edbInfoList, formulaMap, calculateFormula, edbInfoIdBytes)
  377. if !ok {
  378. br.Msg = "生成计算指标失败,请使用正确的计算公式"
  379. return
  380. }
  381. //处理同名指标
  382. {
  383. edbNameList, err := models.GetEdbInfoByName(req.EdbName)
  384. if err != nil {
  385. br.Msg = "保存失败"
  386. br.ErrMsg = "获取指标信息失败,Err:" + err.Error()
  387. return
  388. }
  389. if len(edbNameList) >= 2 {
  390. for _, v := range edbNameList {
  391. edbName := v.EdbName + "(" + v.SourceName + ")"
  392. err = models.ModifyEdbInfoNameSource(edbName, v.EdbInfoId)
  393. if err != nil {
  394. br.Msg = "保存失败"
  395. br.ErrMsg = "修改指标名称失败,Err:" + err.Error()
  396. return
  397. }
  398. }
  399. }
  400. }
  401. edbInfo.EdbName = req.EdbName
  402. edbInfo.Frequency = req.Frequency
  403. edbInfo.Unit = req.Unit
  404. edbInfo.ClassifyId = req.ClassifyId
  405. edbInfo.CalculateFormula = req.CalculateFormula
  406. err = models.EditPredictCalculate(edbInfo, calculateMappingList)
  407. if err != nil {
  408. br.Msg = "修改计算指标失败"
  409. br.Msg = "修改计算指标失败,Calculate Err:" + err.Error()
  410. return
  411. }
  412. // 开始添加预测指标
  413. latestDateStr, latestValue, err := models.AddPredictCalculateData(edbInfoList, edbInfo, edbInfo.EdbCode, req.CalculateFormula, edbInfoIdBytes)
  414. if err != nil {
  415. br.Msg = "生成计算指标失败"
  416. br.Msg = "生成计算指标失败,Calculate Err:" + err.Error()
  417. return
  418. }
  419. // 更新指标最大最小值
  420. err, errMsg := models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  421. if err != nil {
  422. br.Msg = errMsg
  423. br.ErrMsg = err.Error()
  424. return
  425. }
  426. resp := models.AddEdbInfoResp{
  427. EdbInfoId: edbInfo.EdbInfoId,
  428. UniqueCode: edbInfo.UniqueCode,
  429. }
  430. br.Ret = 200
  431. br.Success = true
  432. br.Msg = "保存成功"
  433. br.Data = resp
  434. br.IsAddLog = true
  435. }
  436. // CalculateBatchSave
  437. // @Title 累计值转月-同比值-同差等计算新增
  438. // @Description 累计值转月-同比值-同差等计算新增接口
  439. // @Param request body models.EdbInfoCalculateBatchSaveReq true "type json string"
  440. // @Success Ret=200 返回指标id
  441. // @router /batch/save [post]
  442. func (this *PredictCalculateController) CalculateBatchSave() {
  443. br := new(models.BaseResponse).Init()
  444. defer func() {
  445. this.Data["json"] = br
  446. this.ServeJSON()
  447. }()
  448. var req models.EdbInfoCalculateBatchSaveReq
  449. err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
  450. if err != nil {
  451. br.Msg = "参数解析异常!"
  452. br.ErrMsg = "参数解析失败,Err:" + err.Error()
  453. return
  454. }
  455. req.EdbName = strings.Trim(req.EdbName, " ")
  456. if req.EdbName == "" {
  457. br.Msg = "指标名称不能为空"
  458. return
  459. }
  460. if req.Frequency == "" {
  461. br.Msg = "频率不能为空"
  462. return
  463. }
  464. if req.Unit == "" {
  465. br.Msg = "单位不能为空"
  466. return
  467. }
  468. if req.ClassifyId <= 0 {
  469. br.Msg = "请选择分类"
  470. return
  471. }
  472. if req.FromEdbInfoId <= 0 {
  473. br.Msg = "请选择指标"
  474. return
  475. }
  476. //加入缓存机制,避免创建同一个名称的指标 start
  477. redisKey := fmt.Sprint("edb_info:calculate:batch:save:", req.Source, ":", req.EdbName)
  478. isExist := utils.Rc.IsExist(redisKey)
  479. if isExist {
  480. br.Msg = "指标正在处理,请勿重复提交"
  481. return
  482. } else {
  483. //设置3分钟缓存
  484. utils.Rc.SetNX(redisKey, 1, time.Second*300)
  485. defer func() {
  486. _ = utils.Rc.Delete(redisKey)
  487. }()
  488. }
  489. //加入缓存机制,避免创建同一个名称的指标 end
  490. var condition string
  491. var pars []interface{}
  492. condition += " AND edb_name=? "
  493. pars = append(pars, req.EdbName)
  494. if req.EdbInfoId > 0 {
  495. condition += " AND edb_info_id !=? "
  496. pars = append(pars, req.EdbInfoId)
  497. }
  498. count, err := models.GetEdbInfoCountByCondition(condition, pars)
  499. if err != nil {
  500. br.Msg = "判断指标名称是否存在失败"
  501. br.ErrMsg = "判断指标名称是否存在失败,Err:" + err.Error()
  502. return
  503. }
  504. if count > 0 {
  505. br.Msg = "指标名称已存在,请重新填写"
  506. br.ErrMsg = "指标名称已存在,请重新填写"
  507. return
  508. }
  509. //生成指标编码
  510. randStr := utils.GetRandDigit(4)
  511. edbCode := `C` + time.Now().Format("060102") + randStr
  512. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  513. uniqueCode := utils.MD5(utils.DATA_PREFIX + "_" + timestamp)
  514. adminId := req.AdminId
  515. adminName := req.AdminName
  516. var sourName string
  517. var errMsg string
  518. var edbInfo *models.EdbInfo
  519. var latestDateStr string // 最近实际数据的日期
  520. var latestValue float64 // 最近实际数据的值
  521. // 基础指标id
  522. fromEdbInfoId := req.FromEdbInfoId
  523. var formulaInt int
  524. var nhccDate models.NhccDate // 拟合残差的日期
  525. switch req.Source {
  526. case utils.DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS, utils.DATA_SOURCE_PREDICT_CALCULATE_HBZ, utils.DATA_SOURCE_PREDICT_CALCULATE_HCZ, utils.DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT, utils.DATA_SOURCE_PREDICT_CALCULATE_CJJX:
  527. if req.Formula == "" {
  528. br.Msg = "请填写N值"
  529. return
  530. }
  531. formulaInt, _ = strconv.Atoi(req.Formula)
  532. if formulaInt <= 0 {
  533. br.Msg = "N值输入错误,请重新输入"
  534. return
  535. }
  536. case utils.DATA_SOURCE_PREDICT_CALCULATE_ZJPJ:
  537. //直接拼接指标
  538. //校验时间格式
  539. _, err = time.ParseInLocation(utils.FormatDate, req.Formula, time.Local)
  540. if err != nil {
  541. br.Msg = "拼接日期有误,请重新输入"
  542. return
  543. }
  544. case utils.DATA_SOURCE_PREDICT_CALCULATE_NHCC: //拟合残差指标
  545. //指标校验
  546. if len(req.EdbInfoIdArr) != 2 {
  547. br.Msg = "选择的指标异常,请重新选择"
  548. return
  549. }
  550. fromEdbInfoId = req.EdbInfoIdArr[0].EdbInfoId
  551. //校验时间格式
  552. //数据格式:2022-11-01,2022-11-10
  553. timeList := strings.Split(req.Formula, ",")
  554. if len(timeList) != 2 {
  555. br.Msg = "选择时间有误,请重新输入"
  556. return
  557. }
  558. startDate, err := time.ParseInLocation(utils.FormatDate, timeList[0], time.Local)
  559. if err != nil {
  560. br.Msg = "开始日期有误,请重新输入"
  561. return
  562. }
  563. endDate, err := time.ParseInLocation(utils.FormatDate, timeList[1], time.Local)
  564. if err != nil {
  565. br.Msg = "结束日期有误,请重新输入"
  566. return
  567. }
  568. if utils.GetTimeSubDay(startDate, endDate) < 2 {
  569. br.Msg = "日期间隔不得少于两天"
  570. return
  571. }
  572. nhccDate.StartDate = startDate
  573. nhccDate.EndDate = endDate
  574. }
  575. if fromEdbInfoId <= 0 {
  576. br.Msg = "请选择指标"
  577. return
  578. }
  579. // 来源预测指标信息
  580. fromEdbInfo, err := models.GetEdbInfoById(fromEdbInfoId)
  581. if err != nil {
  582. br.Msg = "获取指标信息失败"
  583. br.ErrMsg = "获取指标信息失败:Err:" + err.Error()
  584. return
  585. }
  586. if fromEdbInfo.EdbInfoType != 1 {
  587. br.Msg = "来源指标不是预测指标"
  588. br.ErrMsg = "来源指标不是预测指标"
  589. return
  590. }
  591. if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TBZ {
  592. sourName = "预测同比"
  593. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateTbz(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  594. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TCZ {
  595. sourName = "预测同差"
  596. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateTcz(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  597. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS {
  598. sourName = "预测N数值移动平均计算"
  599. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateNszydpjjs(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  600. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_BP {
  601. sourName = "预测变频"
  602. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateBp(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  603. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_HBZ {
  604. checkDataList, tmpErr := models.GetPredictEdbDataListAllByStartDate(fromEdbInfo, 0, "")
  605. if tmpErr != nil && tmpErr.Error() != utils.ErrNoRow() {
  606. br.Msg = "判断环比值是否可计算失败"
  607. br.ErrMsg = "判断环比值是否可计算失败,Err:" + tmpErr.Error()
  608. return
  609. }
  610. for _, v := range checkDataList {
  611. if v.Value <= 0 {
  612. br.Msg = "原始数据中存在0或负数,该指标不能进行环比运算"
  613. br.ErrMsg = "原始数据中出现0和负值时,提示该指标不能进行环比运算"
  614. return
  615. }
  616. }
  617. sourName = "预测环比值"
  618. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateHbz(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, formulaInt)
  619. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_HCZ {
  620. sourName = "预测环差值"
  621. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateHcz(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, formulaInt)
  622. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_LJZZY {
  623. sourName = "预测累计值转月值"
  624. if fromEdbInfo.Frequency != "月度" {
  625. br.Msg = "请选择月度指标"
  626. return
  627. }
  628. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateLjzzy(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  629. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT {
  630. sourName = "预测时间移位"
  631. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateTimeShift(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  632. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_LJZTBPJ {
  633. sourName = "预测累计值同比拼接"
  634. if fromEdbInfo.Frequency != "月度" {
  635. br.Msg = "待拼接指标只能筛选月度指标"
  636. br.ErrMsg = "待拼接指标只能筛选月度指标"
  637. return
  638. }
  639. if len(req.EdbInfoIdArr) != 1 {
  640. br.Msg = "请传入同比值指标"
  641. br.ErrMsg = "请传入同比值指标"
  642. return
  643. }
  644. secondEdbInfoReq := req.EdbInfoIdArr[0]
  645. tbzEdbInfo, tmpErr := models.GetEdbInfoById(secondEdbInfoReq.EdbInfoId)
  646. if tmpErr != nil {
  647. br.Msg = "获取同比值指标信息失败"
  648. br.ErrMsg = "获取同比值指标信息失败:Err:" + tmpErr.Error()
  649. return
  650. }
  651. if tbzEdbInfo.Source != utils.DATA_SOURCE_PREDICT_CALCULATE_TBZ {
  652. br.Msg = "指标必须是传入同比值指标类型"
  653. br.ErrMsg = "指标必须是传入同比值指标类型"
  654. return
  655. }
  656. if tbzEdbInfo.Frequency != "月度" {
  657. br.Msg = "同比值指标只能筛选月度指标"
  658. br.ErrMsg = "同比值指标只能筛选月度指标"
  659. return
  660. }
  661. if fromEdbInfo.EdbInfoId == tbzEdbInfo.EdbInfoId {
  662. br.Msg = "两个指标不允许为同一个"
  663. br.ErrMsg = "两个指标不允许为同一个"
  664. return
  665. }
  666. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateLjztbpj(&req, fromEdbInfo, tbzEdbInfo, edbCode, uniqueCode, adminId, adminName)
  667. }else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_ZJPJ {
  668. sourName = "预测直接拼接"
  669. if len(req.EdbInfoIdArr) != 1 {
  670. br.Msg = "请传入拼接日期之后的指标"
  671. br.ErrMsg = "请传入拼接日期之后的指标"
  672. return
  673. }
  674. secondEdbInfoReq := req.EdbInfoIdArr[0]
  675. secondEdbInfo, tmpErr := models.GetEdbInfoById(secondEdbInfoReq.EdbInfoId)
  676. if tmpErr != nil {
  677. br.Msg = "获取拼接日期之后的指标信息失败"
  678. br.ErrMsg = "获取拼接日期之后的指标信息失败:Err:" + tmpErr.Error()
  679. return
  680. }
  681. if fromEdbInfo.EdbInfoId == secondEdbInfo.EdbInfoId {
  682. br.Msg = "两个指标不允许为同一个"
  683. br.ErrMsg = "两个指标不允许为同一个"
  684. return
  685. }
  686. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateZjpj(&req, fromEdbInfo, secondEdbInfo, edbCode, uniqueCode, adminId, adminName)
  687. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_CJJX {
  688. sourName = "预测超季节性"
  689. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateCjjx(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, formulaInt)
  690. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_NHCC {
  691. sourName = "预测拟合残差"
  692. secondEdbInfoReq := req.EdbInfoIdArr[1]
  693. secondEdbInfo, tmpErr := models.GetEdbInfoById(secondEdbInfoReq.EdbInfoId)
  694. if tmpErr != nil {
  695. br.Msg = "获取因变量的指标信息失败"
  696. br.ErrMsg = "获取因变量的指标信息失败:Err:" + tmpErr.Error()
  697. return
  698. }
  699. if fromEdbInfo.EdbInfoId == secondEdbInfo.EdbInfoId {
  700. br.Msg = "两个指标不允许为同一个"
  701. br.ErrMsg = "两个指标不允许为同一个"
  702. return
  703. }
  704. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateNhcc(&req, fromEdbInfo, secondEdbInfo, edbCode, uniqueCode, nhccDate, adminId, adminName)
  705. } else {
  706. br.Msg = "无效计算方式"
  707. br.ErrMsg = "无效计算方式,source:" + strconv.Itoa(req.Source)
  708. return
  709. }
  710. if err != nil {
  711. br.Msg = "生成" + sourName + "失败"
  712. if errMsg != `` {
  713. br.Msg = errMsg
  714. }
  715. br.Msg = "生成" + sourName + "失败 Err:" + err.Error()
  716. return
  717. }
  718. if edbInfo == nil {
  719. br.Msg = "生成" + sourName + "失败"
  720. br.ErrMsg = "生成" + sourName + "失败,edbInfo is nil"
  721. return
  722. }
  723. //处理同名指标
  724. {
  725. edbNameList, err := models.GetEdbInfoByName(req.EdbName)
  726. if err != nil {
  727. br.Msg = "保存失败"
  728. br.ErrMsg = "获取指标信息失败,Err:" + err.Error()
  729. return
  730. }
  731. if len(edbNameList) >= 2 {
  732. for _, v := range edbNameList {
  733. edbName := v.EdbName + "(" + v.SourceName + ")"
  734. err = models.ModifyEdbInfoNameSource(edbName, v.EdbInfoId)
  735. if err != nil {
  736. br.Msg = "保存失败"
  737. br.ErrMsg = "修改指标名称失败,Err:" + err.Error()
  738. return
  739. }
  740. }
  741. }
  742. }
  743. // 更新指标最大最小值
  744. err, errMsg = models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  745. if err != nil {
  746. br.Msg = errMsg
  747. br.ErrMsg = err.Error()
  748. return
  749. }
  750. resp := models.AddEdbInfoResp{
  751. EdbInfoId: edbInfo.EdbInfoId,
  752. UniqueCode: uniqueCode,
  753. }
  754. br.Ret = 200
  755. br.Success = true
  756. br.Msg = "保存成功"
  757. br.Data = resp
  758. br.IsAddLog = true
  759. }
  760. // Refresh
  761. // @Title 刷新计算指标接口
  762. // @Description 刷新计算指标接口
  763. // @Success 200 {object} models.RefreshEdbInfoReq
  764. // @router /refresh [post]
  765. func (this *PredictCalculateController) Refresh() {
  766. br := new(models.BaseResponse).Init()
  767. var cacheKey string
  768. defer func() {
  769. this.Data["json"] = br
  770. this.ServeJSON()
  771. }()
  772. var req models.RefreshEdbInfoReq
  773. err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
  774. if err != nil {
  775. br.Msg = "参数解析异常!"
  776. br.ErrMsg = "参数解析失败,Err:" + err.Error()
  777. return
  778. }
  779. if req.EdbCode == "" {
  780. br.Msg = "请输入指标编码!"
  781. br.ErrMsg = "请输入指标编码,指标编码为空"
  782. return
  783. }
  784. if req.EdbInfoId <= 0 {
  785. br.Msg = "请输入指标ID!"
  786. br.ErrMsg = "请输入指标ID"
  787. return
  788. }
  789. edbInfo, err := models.GetEdbInfoById(req.EdbInfoId)
  790. if err != nil {
  791. br.Msg = "指标不存在!"
  792. br.ErrMsg = "指标不存在"
  793. return
  794. }
  795. cacheKey = utils.CACHE_EDB_DATA_REFRESH + strconv.Itoa(edbInfo.Source) + "_" + req.EdbCode
  796. if utils.Rc.IsExist(cacheKey) {
  797. br.Ret = 501
  798. br.Success = true
  799. br.Msg = "系统处理中,请稍后重试"
  800. br.IsSendEmail = false
  801. return
  802. }
  803. utils.Rc.SetNX(cacheKey, 1, 1*time.Minute)
  804. defer func() {
  805. _ = utils.Rc.Delete(cacheKey)
  806. }()
  807. startDate := req.StartDate
  808. var errMsg string
  809. endDate := time.Now().Format(utils.FormatDate)
  810. edbInfoId := edbInfo.EdbInfoId
  811. source := edbInfo.Source
  812. var latestDateStr string // 最近实际数据的日期
  813. var latestValue float64 // 最近实际数据的值
  814. switch source {
  815. case utils.DATA_SOURCE_PREDICT_CALCULATE:
  816. //startDate = edbInfo.StartDate
  817. //sTime, err := time.Parse(utils.FormatDate, edbInfo.EndDate)
  818. //if err != nil {
  819. // return
  820. //}
  821. //startDate = sTime.Format(utils.FormatDate)
  822. startDate = ""
  823. var edbInfoIdBytes []string
  824. calculateMap, err := models.GetEdbInfoCalculateDetailList(edbInfo.EdbInfoId)
  825. if err != nil {
  826. errMsg = "GetEdbInfoCalculateDetail Err:" + err.Error()
  827. break
  828. }
  829. var formulaStr string
  830. edbInfoList := make([]*models.EdbInfo, 0)
  831. for _, v := range calculateMap {
  832. formulaStr += v.FromTag + ","
  833. edbInfoIdBytes = append(edbInfoIdBytes, v.FromTag)
  834. edbInfo, _ := models.GetEdbInfoById(v.FromEdbInfoId)
  835. edbInfoList = append(edbInfoList, edbInfo)
  836. }
  837. latestDateStr, latestValue, err = models.RefreshAllPredictCalculate(edbInfoList, edbInfo.EdbInfoId, source, edbInfo.EdbCode, edbInfo.CalculateFormula, startDate, edbInfoIdBytes)
  838. if err != nil && err.Error() != utils.ErrNoRow() {
  839. errMsg = "RefreshCalculate Err:" + err.Error()
  840. break
  841. }
  842. case utils.DATA_SOURCE_PREDICT_CALCULATE_TBZ: //刷新同比值
  843. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  844. if err != nil {
  845. errMsg = "GetEdbInfoCalculateTbzDetail Err:" + err.Error()
  846. break
  847. }
  848. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  849. if err != nil {
  850. errMsg = "GetEdbInfoById Err:" + err.Error()
  851. break
  852. }
  853. startDate = edbInfo.StartDate
  854. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateTbz(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate)
  855. if err != nil && err.Error() != utils.ErrNoRow() {
  856. errMsg = "RefreshAllCalculateTbz Err:" + err.Error()
  857. break
  858. }
  859. case utils.DATA_SOURCE_PREDICT_CALCULATE_TCZ: //同差值
  860. calculateTcz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  861. if err != nil {
  862. errMsg = "GetEdbInfoCalculateTczDetail Err:" + err.Error()
  863. break
  864. }
  865. fromEdbInfo, err := models.GetEdbInfoById(calculateTcz.FromEdbInfoId)
  866. if err != nil {
  867. errMsg = "GetEdbInfoById Err:" + err.Error()
  868. break
  869. }
  870. startDate = edbInfo.StartDate
  871. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateTcz(edbInfoId, source, fromEdbInfo, calculateTcz.EdbCode, startDate)
  872. if err != nil && err.Error() != utils.ErrNoRow() {
  873. errMsg = "RefreshCalculateTcz Err:" + err.Error()
  874. break
  875. }
  876. case utils.DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS: //N数值移动平均计算
  877. calculateInfo, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  878. if err != nil {
  879. errMsg = "GetEdbInfoCalculateTczDetail Err:" + err.Error()
  880. break
  881. }
  882. fromEdbInfo, err := models.GetEdbInfoById(calculateInfo.FromEdbInfoId)
  883. if err != nil {
  884. errMsg = "GetEdbInfoById Err:" + err.Error()
  885. break
  886. }
  887. var formulaInt int
  888. formulaInt, _ = strconv.Atoi(calculateInfo.CalculateFormula)
  889. if formulaInt <= 0 {
  890. errMsg = "N值输入错误,请重新输入"
  891. break
  892. }
  893. startDate = edbInfo.StartDate
  894. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateNszydpjjs(edbInfoId, source, formulaInt, fromEdbInfo, calculateInfo.EdbCode, startDate)
  895. if err != nil && err.Error() != utils.ErrNoRow() {
  896. errMsg = "RefreshAllPredictCalculateNszydpjjs Err:" + err.Error()
  897. break
  898. }
  899. case utils.DATA_SOURCE_PREDICT_CALCULATE_BP: //刷新变频
  900. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  901. if err != nil {
  902. errMsg = "GetEdbInfoCalculateTbzDetail Err:" + err.Error()
  903. break
  904. }
  905. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  906. if err != nil {
  907. errMsg = "GetEdbInfoById Err:" + err.Error()
  908. break
  909. }
  910. endDate = time.Now().Format(utils.FormatDate)
  911. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateBp(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate, endDate)
  912. if err != nil && err.Error() != utils.ErrNoRow() {
  913. errMsg = "RefreshAllPredictCalculateBp Err:" + err.Error()
  914. break
  915. }
  916. case utils.DATA_SOURCE_PREDICT_CALCULATE_HBZ: //刷新环比值
  917. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  918. if err != nil {
  919. errMsg = "GetEdbInfoCalculateHbzDetail Err:" + err.Error()
  920. break
  921. }
  922. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  923. if err != nil {
  924. errMsg = "GetEdbInfoById Err:" + err.Error()
  925. break
  926. }
  927. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  928. endDate = time.Now().Format(utils.FormatDate)
  929. formulaInt, _ := strconv.Atoi(edbInfo.CalculateFormula)
  930. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateHbz(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate, endDate, formulaInt)
  931. if err != nil && err.Error() != utils.ErrNoRow() {
  932. errMsg = "RefreshAllPredictCalculateHbz Err:" + err.Error()
  933. break
  934. }
  935. case utils.DATA_SOURCE_PREDICT_CALCULATE_HCZ: //刷新环差值
  936. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  937. if err != nil {
  938. errMsg = "GetEdbInfoCalculateHczDetail Err:" + err.Error()
  939. break
  940. }
  941. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  942. if err != nil {
  943. errMsg = "GetEdbInfoById Err:" + err.Error()
  944. break
  945. }
  946. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  947. endDate = time.Now().Format(utils.FormatDate)
  948. formulaInt, _ := strconv.Atoi(edbInfo.CalculateFormula)
  949. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateHcz(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate, endDate, formulaInt)
  950. if err != nil && err.Error() != utils.ErrNoRow() {
  951. errMsg = "RefreshAllPredictCalculateHcz Err:" + err.Error()
  952. break
  953. }
  954. case utils.DATA_SOURCE_PREDICT_CALCULATE_LJZZY: //刷新累计值转月值
  955. calculateLjzzy, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  956. if err != nil {
  957. errMsg = "GetEdbInfoCalculateLjzzyDetail Err:" + err.Error()
  958. break
  959. }
  960. fromEdbInfo, err := models.GetEdbInfoById(calculateLjzzy.FromEdbInfoId)
  961. if err != nil {
  962. errMsg = "GetEdbInfoById Err:" + err.Error()
  963. break
  964. }
  965. endDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  966. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  967. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateLjzzy(edbInfoId, source, fromEdbInfo, calculateLjzzy.EdbCode, startDate, endDate)
  968. if err != nil && err.Error() != utils.ErrNoRow() {
  969. errMsg = "RefreshAllPredictCalculateLjzzy Err:" + err.Error()
  970. break
  971. }
  972. case utils.DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT:
  973. calculate, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  974. if err != nil {
  975. errMsg = "GetEdbInfoCalculateTbzDetail Err:" + err.Error()
  976. break
  977. }
  978. fromEdbInfo, err := models.GetEdbInfoById(calculate.FromEdbInfoId)
  979. if err != nil {
  980. errMsg = "GetEdbInfoById Err:" + err.Error()
  981. break
  982. }
  983. //startDate = edbInfo.StartDate
  984. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  985. endDate = time.Now().Format(utils.FormatDate)
  986. formulaInt, _ := strconv.Atoi(calculate.CalculateFormula)
  987. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateTimeShift(edbInfoId, source, formulaInt, calculate.MoveType, fromEdbInfo, calculate.EdbCode, startDate, endDate, calculate.MoveFrequency)
  988. if err != nil && err.Error() != utils.ErrNoRow() {
  989. errMsg = "RefreshAllCalculateTimeShift Err:" + err.Error()
  990. }
  991. case utils.DATA_SOURCE_PREDICT_CALCULATE_LJZTBPJ: //刷新累计值同比拼接
  992. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateLjztbpj(edbInfo)
  993. if err != nil && err.Error() != utils.ErrNoRow() {
  994. errMsg = "RefreshAllPredictCalculateLjztbpj Err:" + err.Error()
  995. break
  996. }
  997. case utils.DATA_SOURCE_PREDICT_CALCULATE_ZJPJ: //刷新直接拼接
  998. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateZjpj(edbInfo)
  999. if err != nil && err.Error() != utils.ErrNoRow() {
  1000. errMsg = "RefreshAllPredictCalculateZjpj Err:" + err.Error()
  1001. break
  1002. }
  1003. case utils.DATA_SOURCE_PREDICT_CALCULATE_CJJX: //超季节性
  1004. calculateCjjx, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  1005. if err != nil {
  1006. errMsg = "GetEdbInfoCalculateNszydpjjsDetail Err:" + err.Error()
  1007. break
  1008. }
  1009. fromEdbInfo, err := models.GetEdbInfoById(calculateCjjx.FromEdbInfoId)
  1010. if err != nil {
  1011. errMsg = "GetEdbInfoById Err:" + err.Error()
  1012. break
  1013. }
  1014. formulaInt, _ := strconv.Atoi(edbInfo.CalculateFormula)
  1015. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  1016. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateCjjx(edbInfoId, edbInfo.Source, fromEdbInfo, calculateCjjx.EdbCode, startDate, "", edbInfo.Calendar, formulaInt)
  1017. if err != nil && err.Error() != utils.ErrNoRow() {
  1018. errMsg = "RefreshAllPredictCalculateCjjx Err:" + err.Error()
  1019. break
  1020. }
  1021. default:
  1022. br.Msg = "来源异常,请联系相关开发!"
  1023. br.ErrMsg = "来源异常,请联系相关开发"
  1024. return
  1025. }
  1026. if errMsg != `` {
  1027. br.Msg = "刷新指标失败!"
  1028. br.ErrMsg = "刷新指标失败,err:" + errMsg
  1029. return
  1030. }
  1031. // 更新指标最大最小值
  1032. err, errMsg = models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  1033. if err != nil {
  1034. br.Msg = errMsg
  1035. br.ErrMsg = err.Error()
  1036. return
  1037. }
  1038. // 更新ES
  1039. go logic.UpdateEs(edbInfo.EdbInfoId)
  1040. br.Ret = 200
  1041. br.Success = true
  1042. br.Msg = "获取成功"
  1043. }