base_from_predict_calculate.go 35 KB

12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182838485868788899091929394959697989910010110210310410510610710810911011111211311411511611711811912012112212312412512612712812913013113213313413513613713813914014114214314414514614714814915015115215315415515615715815916016116216316416516616716816917017117217317417517617717817918018118218318418518618718818919019119219319419519619719819920020120220320420520620720820921021121221321421521621721821922022122222322422522622722822923023123223323423523623723823924024124224324424524624724824925025125225325425525625725825926026126226326426526626726826927027127227327427527627727827928028128228328428528628728828929029129229329429529629729829930030130230330430530630730830931031131231331431531631731831932032132232332432532632732832933033133233333433533633733833934034134234334434534634734834935035135235335435535635735835936036136236336436536636736836937037137237337437537637737837938038138238338438538638738838939039139239339439539639739839940040140240340440540640740840941041141241341441541641741841942042142242342442542642742842943043143243343443543643743843944044144244344444544644744844945045145245345445545645745845946046146246346446546646746846947047147247347447547647747847948048148248348448548648748848949049149249349449549649749849950050150250350450550650750850951051151251351451551651751851952052152252352452552652752852953053153253353453553653753853954054154254354454554654754854955055155255355455555655755855956056156256356456556656756856957057157257357457557657757857958058158258358458558658758858959059159259359459559659759859960060160260360460560660760860961061161261361461561661761861962062162262362462562662762862963063163263363463563663763863964064164264364464564664764864965065165265365465565665765865966066166266366466566666766866967067167267367467567667767867968068168268368468568668768868969069169269369469569669769869970070170270370470570670770870971071171271371471571671771871972072172272372472572672772872973073173273373473573673773873974074174274374474574674774874975075175275375475575675775875976076176276376476576676776876977077177277377477577677777877978078178278378478578678778878979079179279379479579679779879980080180280380480580680780880981081181281381481581681781881982082182282382482582682782882983083183283383483583683783883984084184284384484584684784884985085185285385485585685785885986086186286386486586686786886987087187287387487587687787887988088188288388488588688788888989089189289389489589689789889990090190290390490590690790890991091191291391491591691791891992092192292392492592692792892993093193293393493593693793893994094194294394494594694794894995095195295395495595695795895996096196296396496596696796896997097197297397497597697797897998098198298398498598698798898999099199299399499599699799899910001001100210031004100510061007100810091010101110121013101410151016101710181019102010211022102310241025102610271028102910301031103210331034103510361037103810391040104110421043104410451046104710481049105010511052105310541055105610571058105910601061106210631064106510661067106810691070107110721073107410751076107710781079108010811082108310841085108610871088108910901091109210931094109510961097109810991100110111021103
  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. // 来源预测指标信息
  510. fromEdbInfo, err := models.GetEdbInfoById(req.FromEdbInfoId)
  511. if err != nil {
  512. br.Msg = "获取指标信息失败"
  513. br.ErrMsg = "获取指标信息失败:Err:" + err.Error()
  514. return
  515. }
  516. if fromEdbInfo.EdbInfoType != 1 {
  517. br.Msg = "来源指标不是预测指标"
  518. br.ErrMsg = "来源指标不是预测指标"
  519. return
  520. }
  521. //生成指标编码
  522. randStr := utils.GetRandDigit(4)
  523. edbCode := `C` + time.Now().Format("060102") + randStr
  524. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  525. uniqueCode := utils.MD5(utils.DATA_PREFIX + "_" + timestamp)
  526. adminId := req.AdminId
  527. adminName := req.AdminName
  528. var sourName string
  529. var errMsg string
  530. var edbInfo *models.EdbInfo
  531. var latestDateStr string // 最近实际数据的日期
  532. var latestValue float64 // 最近实际数据的值
  533. // 基础指标id
  534. //fromEdbInfoId := req.FromEdbInfoId
  535. var formulaInt int
  536. //var nhccDate models.NhccDate // 拟合残差的日期
  537. switch req.Source {
  538. 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:
  539. if req.Formula == "" {
  540. br.Msg = "请填写N值"
  541. return
  542. }
  543. formulaInt, _ = strconv.Atoi(req.Formula)
  544. if formulaInt <= 0 {
  545. br.Msg = "N值输入错误,请重新输入"
  546. return
  547. }
  548. case utils.DATA_SOURCE_PREDICT_CALCULATE_ZJPJ:
  549. //直接拼接指标
  550. //校验时间格式
  551. _, err = time.ParseInLocation(utils.FormatDate, req.Formula, time.Local)
  552. if err != nil {
  553. br.Msg = "拼接日期有误,请重新输入"
  554. return
  555. }
  556. case utils.DATA_SOURCE_PREDICT_CALCULATE_NHCC: //拟合残差指标
  557. //指标校验
  558. /*if len(req.EdbInfoIdArr) != 2 {
  559. br.Msg = "选择的指标异常,请重新选择"
  560. return
  561. }
  562. fromEdbInfoId = req.EdbInfoIdArr[0].EdbInfoId
  563. //校验时间格式
  564. //数据格式:2022-11-01,2022-11-10
  565. timeList := strings.Split(req.Formula, ",")
  566. if len(timeList) != 2 {
  567. br.Msg = "选择时间有误,请重新输入"
  568. return
  569. }
  570. startDate, err := time.ParseInLocation(utils.FormatDate, timeList[0], time.Local)
  571. if err != nil {
  572. br.Msg = "开始日期有误,请重新输入"
  573. return
  574. }
  575. endDate, err := time.ParseInLocation(utils.FormatDate, timeList[1], time.Local)
  576. if err != nil {
  577. br.Msg = "结束日期有误,请重新输入"
  578. return
  579. }
  580. if utils.GetTimeSubDay(startDate, endDate) < 2 {
  581. br.Msg = "日期间隔不得少于两天"
  582. return
  583. }
  584. nhccDate.StartDate = startDate
  585. nhccDate.EndDate = endDate*/
  586. }
  587. if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TBZ {
  588. sourName = "预测同比"
  589. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateTbz(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  590. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TCZ {
  591. sourName = "预测同差"
  592. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateTcz(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  593. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS {
  594. sourName = "预测N数值移动平均计算"
  595. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateNszydpjjs(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  596. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_BP {
  597. sourName = "预测变频"
  598. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateBp(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  599. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_HBZ {
  600. checkDataList, tmpErr := models.GetPredictEdbDataListAllByStartDate(fromEdbInfo, 0, "")
  601. if tmpErr != nil && tmpErr.Error() != utils.ErrNoRow() {
  602. br.Msg = "判断环比值是否可计算失败"
  603. br.ErrMsg = "判断环比值是否可计算失败,Err:" + tmpErr.Error()
  604. return
  605. }
  606. for _, v := range checkDataList {
  607. if v.Value <= 0 {
  608. br.Msg = "原始数据中存在0或负数,该指标不能进行环比运算"
  609. 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"
  610. return
  611. }
  612. }
  613. sourName = "预测环比值"
  614. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateHbz(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, formulaInt)
  615. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_HCZ {
  616. sourName = "预测环差值"
  617. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateHcz(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, formulaInt)
  618. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_LJZZY {
  619. sourName = "预测累计值转月值"
  620. if fromEdbInfo.Frequency != "月度" {
  621. br.Msg = "请选择月度指标"
  622. return
  623. }
  624. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateLjzzy(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  625. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT {
  626. sourName = "预测时间移位"
  627. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateTimeShift(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  628. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_LJZTBPJ {
  629. sourName = "预测累计值同比拼接"
  630. if fromEdbInfo.Frequency != "月度" {
  631. br.Msg = "待拼接指标只能筛选月度指标"
  632. br.ErrMsg = "待拼接指标只能筛选月度指标"
  633. return
  634. }
  635. if len(req.EdbInfoIdArr) != 1 {
  636. br.Msg = "请传入同比值指标"
  637. br.ErrMsg = "请传入同比值指标"
  638. return
  639. }
  640. secondEdbInfoReq := req.EdbInfoIdArr[0]
  641. tbzEdbInfo, tmpErr := models.GetEdbInfoById(secondEdbInfoReq.EdbInfoId)
  642. if tmpErr != nil {
  643. br.Msg = "获取同比值指标信息失败"
  644. br.ErrMsg = "获取同比值指标信息失败:Err:" + tmpErr.Error()
  645. return
  646. }
  647. if tbzEdbInfo.Source != utils.DATA_SOURCE_PREDICT_CALCULATE_TBZ {
  648. br.Msg = "指标必须是传入同比值指标类型"
  649. br.ErrMsg = "指标必须是传入同比值指标类型"
  650. return
  651. }
  652. if tbzEdbInfo.Frequency != "月度" {
  653. br.Msg = "同比值指标只能筛选月度指标"
  654. br.ErrMsg = "同比值指标只能筛选月度指标"
  655. return
  656. }
  657. if fromEdbInfo.EdbInfoId == tbzEdbInfo.EdbInfoId {
  658. br.Msg = "两个指标不允许为同一个"
  659. br.ErrMsg = "两个指标不允许为同一个"
  660. return
  661. }
  662. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateLjztbpj(&req, fromEdbInfo, tbzEdbInfo, edbCode, uniqueCode, adminId, adminName)
  663. }else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_ZJPJ {
  664. sourName = "预测直接拼接"
  665. if len(req.EdbInfoIdArr) != 1 {
  666. br.Msg = "请传入拼接日期之后的指标"
  667. br.ErrMsg = "请传入拼接日期之后的指标"
  668. return
  669. }
  670. secondEdbInfoReq := req.EdbInfoIdArr[0]
  671. secondEdbInfo, tmpErr := models.GetEdbInfoById(secondEdbInfoReq.EdbInfoId)
  672. if tmpErr != nil {
  673. br.Msg = "获取拼接日期之后的指标信息失败"
  674. br.ErrMsg = "获取拼接日期之后的指标信息失败:Err:" + tmpErr.Error()
  675. return
  676. }
  677. if fromEdbInfo.EdbInfoId == secondEdbInfo.EdbInfoId {
  678. br.Msg = "两个指标不允许为同一个"
  679. br.ErrMsg = "两个指标不允许为同一个"
  680. return
  681. }
  682. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateZjpj(&req, fromEdbInfo, secondEdbInfo, edbCode, uniqueCode, adminId, adminName)
  683. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_CJJX {
  684. sourName = "超季节性"
  685. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateCjjx(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, formulaInt)
  686. } else {
  687. br.Msg = "无效计算方式"
  688. br.ErrMsg = "无效计算方式,source:" + strconv.Itoa(req.Source)
  689. return
  690. }
  691. if err != nil {
  692. br.Msg = "生成" + sourName + "失败"
  693. if errMsg != `` {
  694. br.Msg = errMsg
  695. }
  696. br.Msg = "生成" + sourName + "失败 Err:" + err.Error()
  697. return
  698. }
  699. if edbInfo == nil {
  700. br.Msg = "生成" + sourName + "失败"
  701. br.ErrMsg = "生成" + sourName + "失败,edbInfo is nil"
  702. return
  703. }
  704. //处理同名指标
  705. {
  706. edbNameList, err := models.GetEdbInfoByName(req.EdbName)
  707. if err != nil {
  708. br.Msg = "保存失败"
  709. br.ErrMsg = "获取指标信息失败,Err:" + err.Error()
  710. return
  711. }
  712. if len(edbNameList) >= 2 {
  713. for _, v := range edbNameList {
  714. edbName := v.EdbName + "(" + v.SourceName + ")"
  715. err = models.ModifyEdbInfoNameSource(edbName, v.EdbInfoId)
  716. if err != nil {
  717. br.Msg = "保存失败"
  718. br.ErrMsg = "修改指标名称失败,Err:" + err.Error()
  719. return
  720. }
  721. }
  722. }
  723. }
  724. // 更新指标最大最小值
  725. err, errMsg = models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  726. if err != nil {
  727. br.Msg = errMsg
  728. br.ErrMsg = err.Error()
  729. return
  730. }
  731. resp := models.AddEdbInfoResp{
  732. EdbInfoId: edbInfo.EdbInfoId,
  733. UniqueCode: uniqueCode,
  734. }
  735. br.Ret = 200
  736. br.Success = true
  737. br.Msg = "保存成功"
  738. br.Data = resp
  739. br.IsAddLog = true
  740. }
  741. // Refresh
  742. // @Title 刷新计算指标接口
  743. // @Description 刷新计算指标接口
  744. // @Success 200 {object} models.RefreshEdbInfoReq
  745. // @router /refresh [post]
  746. func (this *PredictCalculateController) Refresh() {
  747. br := new(models.BaseResponse).Init()
  748. var cacheKey string
  749. defer func() {
  750. this.Data["json"] = br
  751. this.ServeJSON()
  752. }()
  753. var req models.RefreshEdbInfoReq
  754. err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
  755. if err != nil {
  756. br.Msg = "参数解析异常!"
  757. br.ErrMsg = "参数解析失败,Err:" + err.Error()
  758. return
  759. }
  760. if req.EdbCode == "" {
  761. br.Msg = "请输入指标编码!"
  762. br.ErrMsg = "请输入指标编码,指标编码为空"
  763. return
  764. }
  765. if req.EdbInfoId <= 0 {
  766. br.Msg = "请输入指标ID!"
  767. br.ErrMsg = "请输入指标ID"
  768. return
  769. }
  770. edbInfo, err := models.GetEdbInfoById(req.EdbInfoId)
  771. if err != nil {
  772. br.Msg = "指标不存在!"
  773. br.ErrMsg = "指标不存在"
  774. return
  775. }
  776. cacheKey = utils.CACHE_EDB_DATA_REFRESH + strconv.Itoa(edbInfo.Source) + "_" + req.EdbCode
  777. if utils.Rc.IsExist(cacheKey) {
  778. br.Ret = 501
  779. br.Success = true
  780. br.Msg = "系统处理中,请稍后重试"
  781. br.IsSendEmail = false
  782. return
  783. }
  784. utils.Rc.SetNX(cacheKey, 1, 1*time.Minute)
  785. defer func() {
  786. _ = utils.Rc.Delete(cacheKey)
  787. }()
  788. startDate := req.StartDate
  789. var errMsg string
  790. endDate := time.Now().Format(utils.FormatDate)
  791. edbInfoId := edbInfo.EdbInfoId
  792. source := edbInfo.Source
  793. var latestDateStr string // 最近实际数据的日期
  794. var latestValue float64 // 最近实际数据的值
  795. switch source {
  796. case utils.DATA_SOURCE_PREDICT_CALCULATE:
  797. //startDate = edbInfo.StartDate
  798. //sTime, err := time.Parse(utils.FormatDate, edbInfo.EndDate)
  799. //if err != nil {
  800. // return
  801. //}
  802. //startDate = sTime.Format(utils.FormatDate)
  803. startDate = ""
  804. var edbInfoIdBytes []string
  805. calculateMap, err := models.GetEdbInfoCalculateDetailList(edbInfo.EdbInfoId)
  806. if err != nil {
  807. errMsg = "GetEdbInfoCalculateDetail Err:" + err.Error()
  808. break
  809. }
  810. var formulaStr string
  811. edbInfoList := make([]*models.EdbInfo, 0)
  812. for _, v := range calculateMap {
  813. formulaStr += v.FromTag + ","
  814. edbInfoIdBytes = append(edbInfoIdBytes, v.FromTag)
  815. edbInfo, _ := models.GetEdbInfoById(v.FromEdbInfoId)
  816. edbInfoList = append(edbInfoList, edbInfo)
  817. }
  818. latestDateStr, latestValue, err = models.RefreshAllPredictCalculate(edbInfoList, edbInfo.EdbInfoId, source, edbInfo.EdbCode, edbInfo.CalculateFormula, startDate, edbInfoIdBytes)
  819. if err != nil && err.Error() != utils.ErrNoRow() {
  820. errMsg = "RefreshCalculate Err:" + err.Error()
  821. break
  822. }
  823. case utils.DATA_SOURCE_PREDICT_CALCULATE_TBZ: //刷新同比值
  824. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  825. if err != nil {
  826. errMsg = "GetEdbInfoCalculateTbzDetail Err:" + err.Error()
  827. break
  828. }
  829. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  830. if err != nil {
  831. errMsg = "GetEdbInfoById Err:" + err.Error()
  832. break
  833. }
  834. startDate = edbInfo.StartDate
  835. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateTbz(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate)
  836. if err != nil && err.Error() != utils.ErrNoRow() {
  837. errMsg = "RefreshAllCalculateTbz Err:" + err.Error()
  838. break
  839. }
  840. case utils.DATA_SOURCE_PREDICT_CALCULATE_TCZ: //同差值
  841. calculateTcz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  842. if err != nil {
  843. errMsg = "GetEdbInfoCalculateTczDetail Err:" + err.Error()
  844. break
  845. }
  846. fromEdbInfo, err := models.GetEdbInfoById(calculateTcz.FromEdbInfoId)
  847. if err != nil {
  848. errMsg = "GetEdbInfoById Err:" + err.Error()
  849. break
  850. }
  851. startDate = edbInfo.StartDate
  852. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateTcz(edbInfoId, source, fromEdbInfo, calculateTcz.EdbCode, startDate)
  853. if err != nil && err.Error() != utils.ErrNoRow() {
  854. errMsg = "RefreshCalculateTcz Err:" + err.Error()
  855. break
  856. }
  857. case utils.DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS: //N数值移动平均计算
  858. calculateInfo, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  859. if err != nil {
  860. errMsg = "GetEdbInfoCalculateTczDetail Err:" + err.Error()
  861. break
  862. }
  863. fromEdbInfo, err := models.GetEdbInfoById(calculateInfo.FromEdbInfoId)
  864. if err != nil {
  865. errMsg = "GetEdbInfoById Err:" + err.Error()
  866. break
  867. }
  868. var formulaInt int
  869. formulaInt, _ = strconv.Atoi(calculateInfo.CalculateFormula)
  870. if formulaInt <= 0 {
  871. errMsg = "N值输入错误,请重新输入"
  872. break
  873. }
  874. startDate = edbInfo.StartDate
  875. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateNszydpjjs(edbInfoId, source, formulaInt, fromEdbInfo, calculateInfo.EdbCode, startDate)
  876. if err != nil && err.Error() != utils.ErrNoRow() {
  877. errMsg = "RefreshAllPredictCalculateNszydpjjs Err:" + err.Error()
  878. break
  879. }
  880. case utils.DATA_SOURCE_PREDICT_CALCULATE_BP: //刷新变频
  881. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  882. if err != nil {
  883. errMsg = "GetEdbInfoCalculateTbzDetail Err:" + err.Error()
  884. break
  885. }
  886. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  887. if err != nil {
  888. errMsg = "GetEdbInfoById Err:" + err.Error()
  889. break
  890. }
  891. endDate = time.Now().Format(utils.FormatDate)
  892. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateBp(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate, endDate)
  893. if err != nil && err.Error() != utils.ErrNoRow() {
  894. errMsg = "RefreshAllPredictCalculateBp Err:" + err.Error()
  895. break
  896. }
  897. case utils.DATA_SOURCE_PREDICT_CALCULATE_HBZ: //刷新环比值
  898. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  899. if err != nil {
  900. errMsg = "GetEdbInfoCalculateHbzDetail Err:" + err.Error()
  901. break
  902. }
  903. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  904. if err != nil {
  905. errMsg = "GetEdbInfoById Err:" + err.Error()
  906. break
  907. }
  908. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  909. endDate = time.Now().Format(utils.FormatDate)
  910. formulaInt, _ := strconv.Atoi(edbInfo.CalculateFormula)
  911. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateHbz(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate, endDate, formulaInt)
  912. if err != nil && err.Error() != utils.ErrNoRow() {
  913. errMsg = "RefreshAllPredictCalculateHbz Err:" + err.Error()
  914. break
  915. }
  916. case utils.DATA_SOURCE_PREDICT_CALCULATE_HCZ: //刷新环差值
  917. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  918. if err != nil {
  919. errMsg = "GetEdbInfoCalculateHczDetail 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.RefreshAllPredictCalculateHcz(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate, endDate, formulaInt)
  931. if err != nil && err.Error() != utils.ErrNoRow() {
  932. errMsg = "RefreshAllPredictCalculateHcz Err:" + err.Error()
  933. break
  934. }
  935. case utils.DATA_SOURCE_PREDICT_CALCULATE_LJZZY: //刷新累计值转月值
  936. calculateLjzzy, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  937. if err != nil {
  938. errMsg = "GetEdbInfoCalculateLjzzyDetail Err:" + err.Error()
  939. break
  940. }
  941. fromEdbInfo, err := models.GetEdbInfoById(calculateLjzzy.FromEdbInfoId)
  942. if err != nil {
  943. errMsg = "GetEdbInfoById Err:" + err.Error()
  944. break
  945. }
  946. endDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  947. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  948. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateLjzzy(edbInfoId, source, fromEdbInfo, calculateLjzzy.EdbCode, startDate, endDate)
  949. if err != nil && err.Error() != utils.ErrNoRow() {
  950. errMsg = "RefreshAllPredictCalculateLjzzy Err:" + err.Error()
  951. break
  952. }
  953. case utils.DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT:
  954. calculate, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  955. if err != nil {
  956. errMsg = "GetEdbInfoCalculateTbzDetail Err:" + err.Error()
  957. break
  958. }
  959. fromEdbInfo, err := models.GetEdbInfoById(calculate.FromEdbInfoId)
  960. if err != nil {
  961. errMsg = "GetEdbInfoById Err:" + err.Error()
  962. break
  963. }
  964. //startDate = edbInfo.StartDate
  965. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  966. endDate = time.Now().Format(utils.FormatDate)
  967. formulaInt, _ := strconv.Atoi(calculate.CalculateFormula)
  968. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateTimeShift(edbInfoId, source, formulaInt, calculate.MoveType, fromEdbInfo, calculate.EdbCode, startDate, endDate, calculate.MoveFrequency)
  969. if err != nil && err.Error() != utils.ErrNoRow() {
  970. errMsg = "RefreshAllCalculateTimeShift Err:" + err.Error()
  971. }
  972. case utils.DATA_SOURCE_PREDICT_CALCULATE_LJZTBPJ: //刷新累计值同比拼接
  973. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateLjztbpj(edbInfo)
  974. if err != nil && err.Error() != utils.ErrNoRow() {
  975. errMsg = "RefreshAllPredictCalculateLjztbpj Err:" + err.Error()
  976. break
  977. }
  978. case utils.DATA_SOURCE_PREDICT_CALCULATE_ZJPJ: //刷新直接拼接
  979. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateZjpj(edbInfo)
  980. if err != nil && err.Error() != utils.ErrNoRow() {
  981. errMsg = "RefreshAllPredictCalculateZjpj Err:" + err.Error()
  982. break
  983. }
  984. case utils.DATA_SOURCE_PREDICT_CALCULATE_CJJX: //超季节性
  985. calculateCjjx, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  986. if err != nil {
  987. errMsg = "GetEdbInfoCalculateNszydpjjsDetail Err:" + err.Error()
  988. break
  989. }
  990. fromEdbInfo, err := models.GetEdbInfoById(calculateCjjx.FromEdbInfoId)
  991. if err != nil {
  992. errMsg = "GetEdbInfoById Err:" + err.Error()
  993. break
  994. }
  995. formulaInt, _ := strconv.Atoi(edbInfo.CalculateFormula)
  996. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  997. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateCjjx(edbInfoId, edbInfo.Source, fromEdbInfo, calculateCjjx.EdbCode, startDate, "", edbInfo.Calendar, formulaInt)
  998. if err != nil && err.Error() != utils.ErrNoRow() {
  999. errMsg = "RefreshAllPredictCalculateCjjx Err:" + err.Error()
  1000. break
  1001. }
  1002. default:
  1003. br.Msg = "来源异常,请联系相关开发!"
  1004. br.ErrMsg = "来源异常,请联系相关开发"
  1005. return
  1006. }
  1007. if errMsg != `` {
  1008. br.Msg = "刷新指标失败!"
  1009. br.ErrMsg = "刷新指标失败,err:" + errMsg
  1010. return
  1011. }
  1012. // 更新指标最大最小值
  1013. err, errMsg = models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  1014. if err != nil {
  1015. br.Msg = errMsg
  1016. br.ErrMsg = err.Error()
  1017. return
  1018. }
  1019. // 更新ES
  1020. go logic.UpdateEs(edbInfo.EdbInfoId)
  1021. br.Ret = 200
  1022. br.Success = true
  1023. br.Msg = "获取成功"
  1024. }