base_from_predict_calculate.go 37 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. // 基础指标id
  473. fromEdbInfoId := req.FromEdbInfoId
  474. notNeedFromEdbSourceList := []int{utils.DATA_SOURCE_PREDICT_CALCULATE_KSZS} // 不需要传入来源指标id的 指标类型
  475. if fromEdbInfoId <= 0 && !utils.InArrayByInt(notNeedFromEdbSourceList, req.Source) {
  476. br.Msg = "请选择指标"
  477. return
  478. }
  479. //加入缓存机制,避免创建同一个名称的指标 start
  480. redisKey := fmt.Sprint("edb_lib:predict_calculate:batch:save:", req.Source, ":", req.EdbName)
  481. isExist := utils.Rc.IsExist(redisKey)
  482. if isExist {
  483. br.Msg = "指标正在处理,请勿重复提交"
  484. return
  485. } else {
  486. //设置3分钟缓存
  487. utils.Rc.SetNX(redisKey, 1, time.Second*300)
  488. defer func() {
  489. _ = utils.Rc.Delete(redisKey)
  490. }()
  491. }
  492. //加入缓存机制,避免创建同一个名称的指标 end
  493. var condition string
  494. var pars []interface{}
  495. condition += " AND edb_name=? "
  496. pars = append(pars, req.EdbName)
  497. if req.EdbInfoId > 0 {
  498. condition += " AND edb_info_id !=? "
  499. pars = append(pars, req.EdbInfoId)
  500. }
  501. count, err := models.GetEdbInfoCountByCondition(condition, pars)
  502. if err != nil {
  503. br.Msg = "判断指标名称是否存在失败"
  504. br.ErrMsg = "判断指标名称是否存在失败,Err:" + err.Error()
  505. return
  506. }
  507. if count > 0 {
  508. br.Msg = "指标名称已存在,请重新填写"
  509. br.ErrMsg = "指标名称已存在,请重新填写"
  510. return
  511. }
  512. // 来源预测指标信息
  513. var fromEdbInfo *models.EdbInfo
  514. if req.FromEdbInfoId > 0 {
  515. fromEdbInfo, err = models.GetEdbInfoById(req.FromEdbInfoId)
  516. if err != nil {
  517. br.Msg = "获取指标信息失败"
  518. br.ErrMsg = "获取指标信息失败:Err:" + err.Error()
  519. return
  520. }
  521. if fromEdbInfo.EdbInfoType != 1 {
  522. br.Msg = "来源指标不是预测指标"
  523. br.ErrMsg = "来源指标不是预测指标"
  524. return
  525. }
  526. }
  527. //生成指标编码
  528. randStr := utils.GetRandDigit(4)
  529. edbCode := `C` + time.Now().Format("060102") + randStr
  530. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  531. uniqueCode := utils.MD5(utils.DATA_PREFIX + "_" + timestamp)
  532. adminId := req.AdminId
  533. adminName := req.AdminName
  534. var sourName string
  535. var errMsg string
  536. var edbInfo *models.EdbInfo
  537. var latestDateStr string // 最近实际数据的日期
  538. var latestValue float64 // 最近实际数据的值
  539. var formulaInt int
  540. var nhccDate models.NhccDate // 拟合残差的日期
  541. switch req.Source {
  542. 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:
  543. if req.Formula == "" {
  544. br.Msg = "请填写N值"
  545. return
  546. }
  547. formulaInt, _ = strconv.Atoi(req.Formula)
  548. if formulaInt <= 0 {
  549. br.Msg = "N值输入错误,请重新输入"
  550. return
  551. }
  552. /*case utils.DATA_SOURCE_PREDICT_CALCULATE_ZJPJ:
  553. //直接拼接指标
  554. //校验时间格式
  555. _, err = time.ParseInLocation(utils.FormatDate, req.Formula, time.Local)
  556. if err != nil {
  557. br.Msg = "拼接日期有误,请重新输入"
  558. return
  559. }*/
  560. case utils.DATA_SOURCE_PREDICT_CALCULATE_NHCC: //拟合残差指标
  561. //指标校验
  562. if len(req.EdbInfoIdArr) != 2 {
  563. br.Msg = "选择的指标异常,请重新选择"
  564. return
  565. }
  566. fromEdbInfoId = req.EdbInfoIdArr[0].EdbInfoId
  567. //校验时间格式
  568. //数据格式:2022-11-01,2022-11-10
  569. timeList := strings.Split(req.Formula, ",")
  570. if len(timeList) != 2 {
  571. br.Msg = "选择时间有误,请重新输入"
  572. return
  573. }
  574. startDate, err := time.ParseInLocation(utils.FormatDate, timeList[0], time.Local)
  575. if err != nil {
  576. br.Msg = "开始日期有误,请重新输入"
  577. return
  578. }
  579. endDate, err := time.ParseInLocation(utils.FormatDate, timeList[1], time.Local)
  580. if err != nil {
  581. br.Msg = "结束日期有误,请重新输入"
  582. return
  583. }
  584. if utils.GetTimeSubDay(startDate, endDate) < 2 {
  585. br.Msg = "日期间隔不得少于两天"
  586. return
  587. }
  588. nhccDate.StartDate = startDate
  589. nhccDate.EndDate = endDate
  590. }
  591. if fromEdbInfoId <= 0 {
  592. br.Msg = "请选择指标"
  593. return
  594. }
  595. if err != nil {
  596. br.Msg = "获取指标信息失败"
  597. br.ErrMsg = "获取指标信息失败:Err:" + err.Error()
  598. return
  599. }
  600. if fromEdbInfo.EdbInfoType != 1 {
  601. br.Msg = "来源指标不是预测指标"
  602. br.ErrMsg = "来源指标不是预测指标"
  603. return
  604. }
  605. if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TBZ {
  606. if req.EdbInfoId <= 0 {
  607. if req.Frequency != fromEdbInfo.Frequency {
  608. br.Msg = "当前频度和原指标频度不一致"
  609. return
  610. }
  611. if req.Unit != "无" {
  612. br.Msg = "单位只允许为无,禁止选择其他单位"
  613. return
  614. }
  615. }
  616. sourName = "预测同比"
  617. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateTbz(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  618. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TCZ {
  619. if req.EdbInfoId <= 0 {
  620. if req.Frequency != fromEdbInfo.Frequency {
  621. br.Msg = "当前频度和原指标频度不一致"
  622. return
  623. }
  624. if req.Unit != fromEdbInfo.Unit {
  625. br.Msg = "当前单位和原指标单位不一致"
  626. return
  627. }
  628. }
  629. sourName = "预测同差"
  630. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateTcz(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  631. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS {
  632. sourName = "预测N数值移动平均计算"
  633. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateNszydpjjs(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  634. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_BP {
  635. sourName = "预测变频"
  636. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateBp(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  637. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_HBZ {
  638. checkDataList, tmpErr := models.GetPredictEdbDataListAllByStartDate(fromEdbInfo, 0, "")
  639. if tmpErr != nil && tmpErr.Error() != utils.ErrNoRow() {
  640. br.Msg = "判断环比值是否可计算失败"
  641. br.ErrMsg = "判断环比值是否可计算失败,Err:" + tmpErr.Error()
  642. return
  643. }
  644. for _, v := range checkDataList {
  645. if v.Value <= 0 {
  646. br.Msg = "原始数据中存在0或负数,该指标不能进行环比运算"
  647. 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"
  648. return
  649. }
  650. }
  651. sourName = "预测环比值"
  652. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateHbz(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, formulaInt)
  653. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_HCZ {
  654. sourName = "预测环差值"
  655. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateHcz(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, formulaInt)
  656. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_LJZZY {
  657. sourName = "预测累计值转月值"
  658. if fromEdbInfo.Frequency != "月度" {
  659. br.Msg = "请选择月度指标"
  660. return
  661. }
  662. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateLjzzy(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  663. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT {
  664. sourName = "预测时间移位"
  665. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateTimeShift(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  666. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_CJJX {
  667. sourName = "预测超季节性"
  668. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateCjjx(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, formulaInt)
  669. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_NHCC {
  670. sourName = "预测拟合残差"
  671. secondEdbInfoReq := req.EdbInfoIdArr[1]
  672. secondEdbInfo, tmpErr := models.GetEdbInfoById(secondEdbInfoReq.EdbInfoId)
  673. if tmpErr != nil {
  674. br.Msg = "获取因变量的指标信息失败"
  675. br.ErrMsg = "获取因变量的指标信息失败:Err:" + tmpErr.Error()
  676. return
  677. }
  678. if fromEdbInfo.EdbInfoId == secondEdbInfo.EdbInfoId {
  679. br.Msg = "两个指标不允许为同一个"
  680. br.ErrMsg = "两个指标不允许为同一个"
  681. return
  682. }
  683. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateNhcc(&req, fromEdbInfo, secondEdbInfo, edbCode, uniqueCode, nhccDate, adminId, adminName)
  684. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_JP {
  685. sourName = utils.DATA_SOURCE_NAME_PREDICT_CALCULATE_JP
  686. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateJp(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  687. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_NH {
  688. sourName = utils.DATA_SOURCE_NAME_PREDICT_CALCULATE_NH
  689. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateNh(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  690. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_KSZS {
  691. sourName = utils.DATA_SOURCE_NAME_PREDICT_CALCULATE_KSZS
  692. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateKszs(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, req.EdbInfoIdArr, edbCode, uniqueCode, adminId, adminName)
  693. } else {
  694. br.Msg = "无效计算方式"
  695. br.ErrMsg = "无效计算方式,source:" + strconv.Itoa(req.Source)
  696. return
  697. }
  698. if err != nil {
  699. br.Msg = "生成" + sourName + "失败"
  700. if errMsg != `` {
  701. br.Msg = errMsg
  702. }
  703. br.Msg = "生成" + sourName + "失败 Err:" + err.Error()
  704. return
  705. }
  706. if edbInfo == nil {
  707. br.Msg = "生成" + sourName + "失败"
  708. br.ErrMsg = "生成" + sourName + "失败,edbInfo is nil"
  709. return
  710. }
  711. //处理同名指标
  712. {
  713. edbNameList, err := models.GetEdbInfoByName(req.EdbName)
  714. if err != nil {
  715. br.Msg = "保存失败"
  716. br.ErrMsg = "获取指标信息失败,Err:" + err.Error()
  717. return
  718. }
  719. if len(edbNameList) >= 2 {
  720. for _, v := range edbNameList {
  721. edbName := v.EdbName + "(" + v.SourceName + ")"
  722. err = models.ModifyEdbInfoNameSource(edbName, v.EdbInfoId)
  723. if err != nil {
  724. br.Msg = "保存失败"
  725. br.ErrMsg = "修改指标名称失败,Err:" + err.Error()
  726. return
  727. }
  728. }
  729. }
  730. }
  731. // 更新指标最大最小值
  732. err, errMsg = models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  733. if err != nil {
  734. br.Msg = errMsg
  735. br.ErrMsg = err.Error()
  736. return
  737. }
  738. resp := models.AddEdbInfoResp{
  739. EdbInfoId: edbInfo.EdbInfoId,
  740. UniqueCode: uniqueCode,
  741. }
  742. br.Ret = 200
  743. br.Success = true
  744. br.Msg = "保存成功"
  745. br.Data = resp
  746. br.IsAddLog = true
  747. }
  748. // Refresh
  749. // @Title 刷新计算指标接口
  750. // @Description 刷新计算指标接口
  751. // @Success 200 {object} models.RefreshEdbInfoReq
  752. // @router /refresh [post]
  753. func (this *PredictCalculateController) Refresh() {
  754. br := new(models.BaseResponse).Init()
  755. var cacheKey string
  756. defer func() {
  757. this.Data["json"] = br
  758. this.ServeJSON()
  759. }()
  760. var req models.RefreshEdbInfoReq
  761. err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
  762. if err != nil {
  763. br.Msg = "参数解析异常!"
  764. br.ErrMsg = "参数解析失败,Err:" + err.Error()
  765. return
  766. }
  767. if req.EdbCode == "" {
  768. br.Msg = "请输入指标编码!"
  769. br.ErrMsg = "请输入指标编码,指标编码为空"
  770. return
  771. }
  772. if req.EdbInfoId <= 0 {
  773. br.Msg = "请输入指标ID!"
  774. br.ErrMsg = "请输入指标ID"
  775. return
  776. }
  777. edbInfo, err := models.GetEdbInfoById(req.EdbInfoId)
  778. if err != nil {
  779. br.Msg = "指标不存在!"
  780. br.ErrMsg = "指标不存在"
  781. return
  782. }
  783. cacheKey = utils.CACHE_EDB_DATA_REFRESH + strconv.Itoa(edbInfo.Source) + "_" + req.EdbCode
  784. if utils.Rc.IsExist(cacheKey) {
  785. br.Ret = 501
  786. br.Success = true
  787. br.Msg = "系统处理中,请稍后重试"
  788. br.IsSendEmail = false
  789. return
  790. }
  791. utils.Rc.SetNX(cacheKey, 1, 1*time.Minute)
  792. defer func() {
  793. _ = utils.Rc.Delete(cacheKey)
  794. }()
  795. startDate := req.StartDate
  796. var errMsg string
  797. endDate := time.Now().Format(utils.FormatDate)
  798. edbInfoId := edbInfo.EdbInfoId
  799. source := edbInfo.Source
  800. var latestDateStr string // 最近实际数据的日期
  801. var latestValue float64 // 最近实际数据的值
  802. switch source {
  803. case utils.DATA_SOURCE_PREDICT_CALCULATE:
  804. //startDate = edbInfo.StartDate
  805. //sTime, err := time.Parse(utils.FormatDate, edbInfo.EndDate)
  806. //if err != nil {
  807. // return
  808. //}
  809. //startDate = sTime.Format(utils.FormatDate)
  810. startDate = ""
  811. var edbInfoIdBytes []string
  812. calculateMap, err := models.GetEdbInfoCalculateDetailList(edbInfo.EdbInfoId)
  813. if err != nil {
  814. errMsg = "GetEdbInfoCalculateDetail Err:" + err.Error()
  815. break
  816. }
  817. var formulaStr string
  818. edbInfoList := make([]*models.EdbInfo, 0)
  819. for _, v := range calculateMap {
  820. formulaStr += v.FromTag + ","
  821. edbInfoIdBytes = append(edbInfoIdBytes, v.FromTag)
  822. edbInfo, _ := models.GetEdbInfoById(v.FromEdbInfoId)
  823. edbInfoList = append(edbInfoList, edbInfo)
  824. }
  825. latestDateStr, latestValue, err = models.RefreshAllPredictCalculate(edbInfoList, edbInfo.EdbInfoId, source, edbInfo.EdbCode, edbInfo.CalculateFormula, startDate, edbInfoIdBytes)
  826. if err != nil && err.Error() != utils.ErrNoRow() {
  827. errMsg = "RefreshCalculate Err:" + err.Error()
  828. break
  829. }
  830. case utils.DATA_SOURCE_PREDICT_CALCULATE_TBZ: //刷新同比值
  831. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  832. if err != nil {
  833. errMsg = "GetEdbInfoCalculateTbzDetail Err:" + err.Error()
  834. break
  835. }
  836. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  837. if err != nil {
  838. errMsg = "GetEdbInfoById Err:" + err.Error()
  839. break
  840. }
  841. startDate = edbInfo.StartDate
  842. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateTbz(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate)
  843. if err != nil && err.Error() != utils.ErrNoRow() {
  844. errMsg = "RefreshAllCalculateTbz Err:" + err.Error()
  845. break
  846. }
  847. case utils.DATA_SOURCE_PREDICT_CALCULATE_TCZ: //同差值
  848. calculateTcz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  849. if err != nil {
  850. errMsg = "GetEdbInfoCalculateTczDetail Err:" + err.Error()
  851. break
  852. }
  853. fromEdbInfo, err := models.GetEdbInfoById(calculateTcz.FromEdbInfoId)
  854. if err != nil {
  855. errMsg = "GetEdbInfoById Err:" + err.Error()
  856. break
  857. }
  858. startDate = edbInfo.StartDate
  859. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateTcz(edbInfoId, source, fromEdbInfo, calculateTcz.EdbCode, startDate)
  860. if err != nil && err.Error() != utils.ErrNoRow() {
  861. errMsg = "RefreshCalculateTcz Err:" + err.Error()
  862. break
  863. }
  864. case utils.DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS: //N数值移动平均计算
  865. calculateInfo, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  866. if err != nil {
  867. errMsg = "GetEdbInfoCalculateTczDetail Err:" + err.Error()
  868. break
  869. }
  870. fromEdbInfo, err := models.GetEdbInfoById(calculateInfo.FromEdbInfoId)
  871. if err != nil {
  872. errMsg = "GetEdbInfoById Err:" + err.Error()
  873. break
  874. }
  875. var formulaInt int
  876. formulaInt, _ = strconv.Atoi(calculateInfo.CalculateFormula)
  877. if formulaInt <= 0 {
  878. errMsg = "N值输入错误,请重新输入"
  879. break
  880. }
  881. startDate = edbInfo.StartDate
  882. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateNszydpjjs(edbInfoId, source, formulaInt, fromEdbInfo, calculateInfo.EdbCode, startDate)
  883. if err != nil && err.Error() != utils.ErrNoRow() {
  884. errMsg = "RefreshAllPredictCalculateNszydpjjs Err:" + err.Error()
  885. break
  886. }
  887. case utils.DATA_SOURCE_PREDICT_CALCULATE_BP: //刷新变频
  888. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  889. if err != nil {
  890. errMsg = "GetEdbInfoCalculateTbzDetail Err:" + err.Error()
  891. break
  892. }
  893. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  894. if err != nil {
  895. errMsg = "GetEdbInfoById Err:" + err.Error()
  896. break
  897. }
  898. endDate = time.Now().Format(utils.FormatDate)
  899. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateBp(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate, endDate)
  900. if err != nil && err.Error() != utils.ErrNoRow() {
  901. errMsg = "RefreshAllPredictCalculateBp Err:" + err.Error()
  902. break
  903. }
  904. case utils.DATA_SOURCE_PREDICT_CALCULATE_HBZ: //刷新环比值
  905. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  906. if err != nil {
  907. errMsg = "GetEdbInfoCalculateHbzDetail Err:" + err.Error()
  908. break
  909. }
  910. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  911. if err != nil {
  912. errMsg = "GetEdbInfoById Err:" + err.Error()
  913. break
  914. }
  915. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  916. endDate = time.Now().Format(utils.FormatDate)
  917. formulaInt, _ := strconv.Atoi(edbInfo.CalculateFormula)
  918. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateHbz(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate, endDate, formulaInt)
  919. if err != nil && err.Error() != utils.ErrNoRow() {
  920. errMsg = "RefreshAllPredictCalculateHbz Err:" + err.Error()
  921. break
  922. }
  923. case utils.DATA_SOURCE_PREDICT_CALCULATE_HCZ: //刷新环差值
  924. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  925. if err != nil {
  926. errMsg = "GetEdbInfoCalculateHczDetail Err:" + err.Error()
  927. break
  928. }
  929. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  930. if err != nil {
  931. errMsg = "GetEdbInfoById Err:" + err.Error()
  932. break
  933. }
  934. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  935. endDate = time.Now().Format(utils.FormatDate)
  936. formulaInt, _ := strconv.Atoi(edbInfo.CalculateFormula)
  937. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateHcz(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate, endDate, formulaInt)
  938. if err != nil && err.Error() != utils.ErrNoRow() {
  939. errMsg = "RefreshAllPredictCalculateHcz Err:" + err.Error()
  940. break
  941. }
  942. case utils.DATA_SOURCE_PREDICT_CALCULATE_LJZZY: //刷新累计值转月值
  943. calculateLjzzy, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  944. if err != nil {
  945. errMsg = "GetEdbInfoCalculateLjzzyDetail Err:" + err.Error()
  946. break
  947. }
  948. fromEdbInfo, err := models.GetEdbInfoById(calculateLjzzy.FromEdbInfoId)
  949. if err != nil {
  950. errMsg = "GetEdbInfoById Err:" + err.Error()
  951. break
  952. }
  953. endDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  954. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  955. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateLjzzy(edbInfoId, source, fromEdbInfo, calculateLjzzy.EdbCode, startDate, endDate)
  956. if err != nil && err.Error() != utils.ErrNoRow() {
  957. errMsg = "RefreshAllPredictCalculateLjzzy Err:" + err.Error()
  958. break
  959. }
  960. case utils.DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT:
  961. calculate, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  962. if err != nil {
  963. errMsg = "GetEdbInfoCalculateTbzDetail Err:" + err.Error()
  964. break
  965. }
  966. fromEdbInfo, err := models.GetEdbInfoById(calculate.FromEdbInfoId)
  967. if err != nil {
  968. errMsg = "GetEdbInfoById Err:" + err.Error()
  969. break
  970. }
  971. //startDate = edbInfo.StartDate
  972. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  973. endDate = time.Now().Format(utils.FormatDate)
  974. formulaInt, _ := strconv.Atoi(calculate.CalculateFormula)
  975. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateTimeShift(edbInfoId, source, formulaInt, calculate.MoveType, fromEdbInfo, calculate.EdbCode, startDate, endDate, calculate.MoveFrequency)
  976. if err != nil && err.Error() != utils.ErrNoRow() {
  977. errMsg = "RefreshAllCalculateTimeShift Err:" + err.Error()
  978. }
  979. case utils.DATA_SOURCE_PREDICT_CALCULATE_LJZTBPJ: //刷新累计值同比拼接
  980. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateLjztbpj(edbInfo)
  981. if err != nil && err.Error() != utils.ErrNoRow() {
  982. errMsg = "RefreshAllPredictCalculateLjztbpj Err:" + err.Error()
  983. break
  984. }
  985. case utils.DATA_SOURCE_PREDICT_CALCULATE_ZJPJ: //刷新直接拼接
  986. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateZjpj(edbInfo)
  987. if err != nil && err.Error() != utils.ErrNoRow() {
  988. errMsg = "RefreshAllPredictCalculateZjpj Err:" + err.Error()
  989. break
  990. }
  991. case utils.DATA_SOURCE_PREDICT_CALCULATE_CJJX: //超季节性
  992. calculateCjjx, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  993. if err != nil {
  994. errMsg = "GetEdbInfoCalculateNszydpjjsDetail Err:" + err.Error()
  995. break
  996. }
  997. fromEdbInfo, err := models.GetEdbInfoById(calculateCjjx.FromEdbInfoId)
  998. if err != nil {
  999. errMsg = "GetEdbInfoById Err:" + err.Error()
  1000. break
  1001. }
  1002. formulaInt, _ := strconv.Atoi(edbInfo.CalculateFormula)
  1003. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  1004. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateCjjx(edbInfoId, edbInfo.Source, fromEdbInfo, calculateCjjx.EdbCode, startDate, "", edbInfo.Calendar, formulaInt)
  1005. if err != nil && err.Error() != utils.ErrNoRow() {
  1006. errMsg = "RefreshAllPredictCalculateCjjx Err:" + err.Error()
  1007. break
  1008. }
  1009. case utils.DATA_SOURCE_PREDICT_CALCULATE_NHCC: //nhcc
  1010. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateNhcc(edbInfo)
  1011. if err != nil && err.Error() != utils.ErrNoRow() {
  1012. errMsg = "RefreshAllPredictCalculateNhcc Err:" + err.Error()
  1013. break
  1014. }
  1015. case utils.DATA_SOURCE_PREDICT_CALCULATE_JP: //降频
  1016. calculateInfo, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  1017. if err != nil {
  1018. errMsg = "GetEdbInfoCalculateTczDetail Err:" + err.Error()
  1019. break
  1020. }
  1021. fromEdbInfo, err := models.GetEdbInfoById(calculateInfo.FromEdbInfoId)
  1022. if err != nil {
  1023. errMsg = "GetEdbInfoById Err:" + err.Error()
  1024. break
  1025. }
  1026. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateJp(edbInfoId, source, fromEdbInfo, calculateInfo.EdbCode, edbInfo.Frequency, edbInfo.CalculateFormula)
  1027. if err != nil && err.Error() != utils.ErrNoRow() {
  1028. errMsg = "RefreshAllPredictCalculateJp Err:" + err.Error()
  1029. break
  1030. }
  1031. case utils.DATA_SOURCE_PREDICT_CALCULATE_NH: //年化
  1032. calculateInfo, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  1033. if err != nil {
  1034. errMsg = "GetEdbInfoCalculateTczDetail Err:" + err.Error()
  1035. break
  1036. }
  1037. fromEdbInfo, err := models.GetEdbInfoById(calculateInfo.FromEdbInfoId)
  1038. if err != nil {
  1039. errMsg = "GetEdbInfoById Err:" + err.Error()
  1040. break
  1041. }
  1042. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateNh(edbInfoId, source, fromEdbInfo, calculateInfo.EdbCode, edbInfo.Frequency, edbInfo.CalculateFormula)
  1043. if err != nil && err.Error() != utils.ErrNoRow() {
  1044. errMsg = "RefreshAllPredictCalculateNh Err:" + err.Error()
  1045. break
  1046. }
  1047. case utils.DATA_SOURCE_PREDICT_CALCULATE_KSZS: //扩散指数
  1048. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateKszs(edbInfo)
  1049. if err != nil && err.Error() != utils.ErrNoRow() {
  1050. errMsg = "RefreshAllPredictCalculateKszs Err:" + err.Error()
  1051. break
  1052. }
  1053. default:
  1054. br.Msg = "来源异常,请联系相关开发!"
  1055. br.ErrMsg = "来源异常,请联系相关开发"
  1056. return
  1057. }
  1058. if errMsg != `` {
  1059. br.Msg = "刷新指标失败!"
  1060. br.ErrMsg = "刷新指标失败,err:" + errMsg
  1061. return
  1062. }
  1063. // 更新指标最大最小值
  1064. err, errMsg = models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  1065. if err != nil {
  1066. br.Msg = errMsg
  1067. br.ErrMsg = err.Error()
  1068. return
  1069. }
  1070. // 更新ES
  1071. go logic.UpdateEs(edbInfo.EdbInfoId)
  1072. br.Ret = 200
  1073. br.Success = true
  1074. br.Msg = "获取成功"
  1075. }