base_from_predict_calculate.go 42 KB

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  1. package controllers
  2. import (
  3. "encoding/json"
  4. "eta/eta_index_lib/logic"
  5. "eta/eta_index_lib/models"
  6. "eta/eta_index_lib/utils"
  7. "fmt"
  8. "strconv"
  9. "strings"
  10. "time"
  11. )
  12. // PredictCalculateController 预测计算指标
  13. type PredictCalculateController struct {
  14. BaseAuthController
  15. }
  16. // Save
  17. // @Title 新增/编辑预测指标运算接口
  18. // @Description 新增预测指标运算接口
  19. // @Success 200 {object} models.EdbInfoCalculateSaveReq
  20. // @router /save [post]
  21. func (this *PredictCalculateController) Save() {
  22. br := new(models.BaseResponse).Init()
  23. defer func() {
  24. this.Data["json"] = br
  25. this.ServeJSON()
  26. }()
  27. var req models.EdbInfoCalculateSaveReq
  28. err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
  29. if err != nil {
  30. br.Msg = "参数解析异常!"
  31. br.ErrMsg = "参数解析失败,Err:" + err.Error()
  32. return
  33. }
  34. if req.EdbInfoId <= 0 {
  35. addPredictCalculate(br, req)
  36. } else {
  37. editPredictCalculate(br, req)
  38. }
  39. }
  40. // AddPredictCalculate 添加预测指标运算
  41. func addPredictCalculate(br *models.BaseResponse, req models.EdbInfoCalculateSaveReq) {
  42. req.EdbName = strings.Trim(req.EdbName, " ")
  43. if req.EdbName == "" {
  44. br.Msg = "指标名称不能为空"
  45. return
  46. }
  47. if req.Frequency == "" {
  48. br.Msg = "频率不能为空"
  49. return
  50. }
  51. if req.Unit == "" {
  52. br.Msg = "单位不能为空"
  53. return
  54. }
  55. if req.ClassifyId <= 0 {
  56. br.Msg = "请选择分类"
  57. return
  58. }
  59. if len(req.EdbInfoIdArr) <= 0 {
  60. br.Msg = "请选择指标"
  61. return
  62. }
  63. if req.CalculateFormula == "" {
  64. br.Msg = "请填写指标"
  65. return
  66. }
  67. //加入缓存机制,避免创建同一个名称的指标 start
  68. redisKey := fmt.Sprint("predict_edb_info:calculate:batch:save:", utils.DATA_SOURCE_PREDICT_CALCULATE, ":", req.EdbName)
  69. isExist := utils.Rc.IsExist(redisKey)
  70. if isExist {
  71. br.Msg = "指标正在处理,请勿重复提交"
  72. return
  73. } else {
  74. //设置3分钟缓存
  75. utils.Rc.SetNX(redisKey, 1, time.Second*300)
  76. defer func() {
  77. _ = utils.Rc.Delete(redisKey)
  78. }()
  79. }
  80. calculateFormula := req.CalculateFormula
  81. calculateFormula = strings.Replace(calculateFormula, "(", "(", -1)
  82. calculateFormula = strings.Replace(calculateFormula, ")", ")", -1)
  83. calculateFormula = strings.Replace(calculateFormula, ",", ",", -1)
  84. calculateFormula = strings.Replace(calculateFormula, "。", ".", -1)
  85. if strings.Contains(req.CalculateFormula, "%") {
  86. calculateFormula = strings.Replace(calculateFormula, "%", "*0.01", -1)
  87. }
  88. req.CalculateFormula = calculateFormula
  89. //检验公式
  90. var formulaStr string
  91. var edbInfoIdBytes []string
  92. for _, v := range req.EdbInfoIdArr {
  93. formulaStr += v.FromTag + ","
  94. edbInfoIdBytes = append(edbInfoIdBytes, v.FromTag)
  95. }
  96. formulaMap := utils.CheckFormula(req.CalculateFormula)
  97. for _, v := range formulaMap {
  98. if !strings.Contains(formulaStr, v) {
  99. br.Msg = "公式错误,请重新填写"
  100. return
  101. }
  102. }
  103. // 判断指标名称是否存在
  104. {
  105. var condition string
  106. var pars []interface{}
  107. // 指标类型,0:普通指标,1:预测指标
  108. condition += " AND edb_info_type=? AND edb_name=? "
  109. pars = append(pars, 1, req.EdbName)
  110. count, err := models.GetEdbInfoCountByCondition(condition, pars)
  111. if err != nil {
  112. br.Msg = "判断指标名称是否存在失败"
  113. br.ErrMsg = "判断指标名称是否存在失败,Err:" + err.Error()
  114. return
  115. }
  116. if count > 0 {
  117. br.Msg = "指标名称已存在,请重新填写"
  118. br.ErrMsg = "指标名称已存在,请重新填写"
  119. return
  120. }
  121. }
  122. // 关联指标信息
  123. edbInfoList := make([]*models.EdbInfo, 0)
  124. calculateMappingList := make([]*models.EdbInfoCalculateMapping, 0)
  125. for k, v := range req.EdbInfoIdArr {
  126. fromEdbInfo, err := models.GetEdbInfoById(v.EdbInfoId)
  127. if err != nil {
  128. if err.Error() == utils.ErrNoRow() {
  129. br.Msg = "生成计算指标失败"
  130. br.Msg = "指标 " + strconv.Itoa(v.EdbInfoId) + " 不存在"
  131. return
  132. }
  133. br.Msg = "生成计算指标失败"
  134. br.Msg = "获取指标失败:Err:" + err.Error()
  135. return
  136. }
  137. edbInfoList = append(edbInfoList, fromEdbInfo)
  138. //关联关系表
  139. {
  140. calculateMappingItem := &models.EdbInfoCalculateMapping{
  141. CreateTime: time.Now(),
  142. ModifyTime: time.Now(),
  143. Sort: k + 1,
  144. //EdbCode: edbCode,
  145. //EdbInfoId: int(edbInfoId),
  146. FromEdbInfoId: fromEdbInfo.EdbInfoId,
  147. FromEdbCode: fromEdbInfo.EdbCode,
  148. FromEdbName: fromEdbInfo.EdbName,
  149. FromSource: fromEdbInfo.Source,
  150. FromSourceName: fromEdbInfo.SourceName,
  151. FromTag: v.FromTag,
  152. Source: utils.DATA_SOURCE_PREDICT_CALCULATE,
  153. SourceName: "预测指标运算",
  154. }
  155. calculateMappingList = append(calculateMappingList, calculateMappingItem)
  156. }
  157. }
  158. //预先计算,判断公式是否正常
  159. ok, _ := models.CheckFormula2(edbInfoList, formulaMap, calculateFormula, edbInfoIdBytes)
  160. if !ok {
  161. br.Msg = "生成计算指标失败,请使用正确的计算公式"
  162. return
  163. }
  164. // 指标入库
  165. randStr := utils.GetRandDigit(4)
  166. edbCode := `C2` + time.Now().Format("060102") + randStr
  167. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  168. uniqueCode := utils.MD5(utils.DATA_PREFIX + "_" + timestamp)
  169. edbInfo := &models.EdbInfo{
  170. EdbInfoType: 1,
  171. Source: utils.DATA_SOURCE_PREDICT_CALCULATE,
  172. SourceName: "预测指标运算",
  173. EdbCode: edbCode,
  174. EdbName: req.EdbName,
  175. EdbNameSource: req.EdbName,
  176. Frequency: req.Frequency,
  177. Unit: req.Unit,
  178. ClassifyId: req.ClassifyId,
  179. SysUserId: req.AdminId,
  180. SysUserRealName: req.AdminName,
  181. CreateTime: time.Now(),
  182. ModifyTime: time.Now(),
  183. UniqueCode: uniqueCode,
  184. CalculateFormula: req.CalculateFormula,
  185. EdbType: 2,
  186. EmptyType: req.EmptyType,
  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. formulaSlice, err := utils.CheckFormulaJson(req.CalculateFormula)
  307. if err != nil {
  308. br.Msg = "公式格式错误,请重新填写"
  309. return
  310. }
  311. for _, formula := range formulaSlice {
  312. formulaMap := utils.CheckFormula(formula)
  313. for _, v := range formulaMap {
  314. if !strings.Contains(formulaStr, v) {
  315. br.Msg = "公式错误,请重新填写"
  316. return
  317. }
  318. }
  319. }
  320. // 获取计算指标信息
  321. edbInfo, err := models.GetEdbInfoById(req.EdbInfoId)
  322. if err != nil {
  323. br.Msg = "获取指标信息失败"
  324. br.ErrMsg = "获取指标信息失败,Err:" + err.Error()
  325. return
  326. }
  327. // 判断指标名称是否存在
  328. {
  329. var condition string
  330. var pars []interface{}
  331. // 指标类型,0:普通指标,1:预测指标
  332. condition += " AND edb_info_id !=? AND edb_info_type=? AND edb_name=? "
  333. pars = append(pars, edbInfo.EdbInfoId, edbInfo.EdbInfoType, req.EdbName)
  334. count, err := models.GetEdbInfoCountByCondition(condition, pars)
  335. if err != nil {
  336. br.Msg = "判断指标名称是否存在失败"
  337. br.ErrMsg = "判断指标名称是否存在失败,Err:" + err.Error()
  338. return
  339. }
  340. if count > 0 {
  341. br.Msg = "指标名称已存在,请重新填写"
  342. br.ErrMsg = "指标名称已存在,请重新填写"
  343. return
  344. }
  345. }
  346. // 关联指标信息
  347. edbInfoList := make([]*models.EdbInfo, 0)
  348. calculateMappingList := make([]*models.EdbInfoCalculateMapping, 0)
  349. for k, v := range req.EdbInfoIdArr {
  350. fromEdbInfo, err := models.GetEdbInfoById(v.EdbInfoId)
  351. if err != nil {
  352. if err.Error() == utils.ErrNoRow() {
  353. br.Msg = "生成计算指标失败"
  354. br.Msg = "指标 " + strconv.Itoa(v.EdbInfoId) + " 不存在"
  355. return
  356. }
  357. br.Msg = "生成计算指标失败"
  358. br.Msg = "获取指标失败:Err:" + err.Error()
  359. return
  360. }
  361. edbInfoList = append(edbInfoList, fromEdbInfo)
  362. //关联关系表
  363. {
  364. calculateMappingItem := &models.EdbInfoCalculateMapping{
  365. CreateTime: time.Now(),
  366. ModifyTime: time.Now(),
  367. Sort: k + 1,
  368. EdbCode: edbInfo.EdbCode,
  369. EdbInfoId: edbInfo.EdbInfoId,
  370. FromEdbInfoId: fromEdbInfo.EdbInfoId,
  371. FromEdbCode: fromEdbInfo.EdbCode,
  372. FromEdbName: fromEdbInfo.EdbName,
  373. FromSource: fromEdbInfo.Source,
  374. FromSourceName: fromEdbInfo.SourceName,
  375. FromTag: v.FromTag,
  376. Source: utils.DATA_SOURCE_PREDICT_CALCULATE,
  377. SourceName: "预测指标运算",
  378. }
  379. calculateMappingList = append(calculateMappingList, calculateMappingItem)
  380. }
  381. }
  382. for _, v := range formulaSlice {
  383. formulaMap := utils.CheckFormula(v)
  384. //预先计算,判断公式是否正常
  385. ok, _ := models.CheckFormula2(edbInfoList, formulaMap, v, edbInfoIdBytes)
  386. if !ok {
  387. br.Msg = "生成计算指标失败,请使用正确的计算公式"
  388. return
  389. }
  390. }
  391. //处理同名指标
  392. {
  393. edbNameList, err := models.GetEdbInfoByName(req.EdbName)
  394. if err != nil {
  395. br.Msg = "保存失败"
  396. br.ErrMsg = "获取指标信息失败,Err:" + err.Error()
  397. return
  398. }
  399. if len(edbNameList) >= 2 {
  400. for _, v := range edbNameList {
  401. edbName := v.EdbName + "(" + v.SourceName + ")"
  402. err = models.ModifyEdbInfoNameSource(edbName, v.EdbInfoId)
  403. if err != nil {
  404. br.Msg = "保存失败"
  405. br.ErrMsg = "修改指标名称失败,Err:" + err.Error()
  406. return
  407. }
  408. }
  409. }
  410. }
  411. edbInfo.EdbName = req.EdbName
  412. edbInfo.Frequency = req.Frequency
  413. edbInfo.Unit = req.Unit
  414. edbInfo.ClassifyId = req.ClassifyId
  415. edbInfo.CalculateFormula = req.CalculateFormula
  416. err = models.EditPredictCalculate(edbInfo, calculateMappingList)
  417. if err != nil {
  418. br.Msg = "修改计算指标失败"
  419. br.Msg = "修改计算指标失败,Calculate Err:" + err.Error()
  420. return
  421. }
  422. // 开始添加预测指标
  423. latestDateStr, latestValue, err := models.AddPredictCalculateData(edbInfoList, edbInfo, edbInfo.EdbCode, req.CalculateFormula, edbInfoIdBytes)
  424. if err != nil {
  425. br.Msg = "生成计算指标失败"
  426. br.Msg = "生成计算指标失败,Calculate Err:" + err.Error()
  427. return
  428. }
  429. // 更新指标最大最小值
  430. err, errMsg := models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  431. if err != nil {
  432. br.Msg = errMsg
  433. br.ErrMsg = err.Error()
  434. return
  435. }
  436. resp := models.AddEdbInfoResp{
  437. EdbInfoId: edbInfo.EdbInfoId,
  438. UniqueCode: edbInfo.UniqueCode,
  439. }
  440. br.Ret = 200
  441. br.Success = true
  442. br.Msg = "保存成功"
  443. br.Data = resp
  444. br.IsAddLog = true
  445. }
  446. // CalculateBatchSave
  447. // @Title 累计值转月-同比值-同差等计算新增
  448. // @Description 累计值转月-同比值-同差等计算新增接口
  449. // @Param request body models.EdbInfoCalculateBatchSaveReq true "type json string"
  450. // @Success Ret=200 返回指标id
  451. // @router /batch/save [post]
  452. func (this *PredictCalculateController) CalculateBatchSave() {
  453. br := new(models.BaseResponse).Init()
  454. defer func() {
  455. this.Data["json"] = br
  456. this.ServeJSON()
  457. }()
  458. var req models.EdbInfoCalculateBatchSaveReq
  459. err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
  460. if err != nil {
  461. br.Msg = "参数解析异常!"
  462. br.ErrMsg = "参数解析失败,Err:" + err.Error()
  463. return
  464. }
  465. req.EdbName = strings.Trim(req.EdbName, " ")
  466. if req.EdbName == "" {
  467. br.Msg = "指标名称不能为空"
  468. return
  469. }
  470. if req.Frequency == "" {
  471. br.Msg = "频率不能为空"
  472. return
  473. }
  474. if req.Unit == "" {
  475. br.Msg = "单位不能为空"
  476. return
  477. }
  478. if req.ClassifyId <= 0 {
  479. br.Msg = "请选择分类"
  480. return
  481. }
  482. // 基础指标id
  483. fromEdbInfoId := req.FromEdbInfoId
  484. notNeedFromEdbSourceList := []int{utils.DATA_SOURCE_PREDICT_CALCULATE_KSZS, utils.DATA_SOURCE_PREDICT_CALCULATE_NHCC} // 不需要传入来源指标id的 指标类型
  485. if fromEdbInfoId <= 0 && !utils.InArrayByInt(notNeedFromEdbSourceList, req.Source) {
  486. br.Msg = "请选择指标"
  487. return
  488. }
  489. //加入缓存机制,避免创建同一个名称的指标 start
  490. redisKey := fmt.Sprint("edb_lib:predict_calculate:batch:save:", req.Source, ":", req.EdbName)
  491. isExist := utils.Rc.IsExist(redisKey)
  492. if isExist {
  493. br.Msg = "指标正在处理,请勿重复提交"
  494. return
  495. } else {
  496. //设置3分钟缓存
  497. utils.Rc.SetNX(redisKey, 1, time.Second*300)
  498. defer func() {
  499. _ = utils.Rc.Delete(redisKey)
  500. }()
  501. }
  502. //加入缓存机制,避免创建同一个名称的指标 end
  503. var condition string
  504. var pars []interface{}
  505. condition += " AND edb_name=? "
  506. pars = append(pars, req.EdbName)
  507. if req.EdbInfoId > 0 {
  508. condition += " AND edb_info_id !=? "
  509. pars = append(pars, req.EdbInfoId)
  510. }
  511. count, err := models.GetEdbInfoCountByCondition(condition, pars)
  512. if err != nil {
  513. br.Msg = "判断指标名称是否存在失败"
  514. br.ErrMsg = "判断指标名称是否存在失败,Err:" + err.Error()
  515. return
  516. }
  517. if count > 0 {
  518. br.Msg = "指标名称已存在,请重新填写"
  519. br.ErrMsg = "指标名称已存在,请重新填写"
  520. return
  521. }
  522. //生成指标编码
  523. randStr := utils.GetRandDigit(4)
  524. edbCode := `C` + time.Now().Format("060102") + randStr
  525. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  526. uniqueCode := utils.MD5(utils.DATA_PREFIX + "_" + timestamp)
  527. adminId := req.AdminId
  528. adminName := req.AdminName
  529. var sourName string
  530. var errMsg string
  531. var edbInfo *models.EdbInfo
  532. var latestDateStr string // 最近实际数据的日期
  533. var latestValue float64 // 最近实际数据的值
  534. var formulaInt int
  535. var nhccDate models.NhccDate // 拟合残差的日期
  536. switch req.Source {
  537. 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:
  538. if req.Formula == "" {
  539. br.Msg = "请填写N值"
  540. return
  541. }
  542. formulaInt, _ = strconv.Atoi(req.Formula)
  543. if formulaInt <= 0 {
  544. br.Msg = "N值输入错误,请重新输入"
  545. return
  546. }
  547. /*case utils.DATA_SOURCE_PREDICT_CALCULATE_ZJPJ:
  548. //直接拼接指标
  549. //校验时间格式
  550. _, err = time.ParseInLocation(utils.FormatDate, req.Formula, time.Local)
  551. if err != nil {
  552. br.Msg = "拼接日期有误,请重新输入"
  553. return
  554. }*/
  555. case utils.DATA_SOURCE_PREDICT_CALCULATE_NHCC: //拟合残差指标
  556. //指标校验
  557. if len(req.EdbInfoIdArr) != 2 {
  558. br.Msg = "选择的指标异常,请重新选择"
  559. return
  560. }
  561. fromEdbInfoId = req.EdbInfoIdArr[0].EdbInfoId
  562. //校验时间格式
  563. //数据格式:2022-11-01,2022-11-10
  564. timeList := strings.Split(req.Formula, ",")
  565. if len(timeList) != 2 {
  566. br.Msg = "选择时间有误,请重新输入"
  567. return
  568. }
  569. startDate, err := time.ParseInLocation(utils.FormatDate, timeList[0], time.Local)
  570. if err != nil {
  571. br.Msg = "开始日期有误,请重新输入"
  572. return
  573. }
  574. endDate, err := time.ParseInLocation(utils.FormatDate, timeList[1], time.Local)
  575. if err != nil {
  576. br.Msg = "结束日期有误,请重新输入"
  577. return
  578. }
  579. if utils.GetTimeSubDay(startDate, endDate) < 2 {
  580. br.Msg = "日期间隔不得少于两天"
  581. return
  582. }
  583. nhccDate.StartDate = startDate
  584. nhccDate.EndDate = endDate
  585. case utils.DATA_SOURCE_CALCULATE_ZSXY: // 指数修匀
  586. if req.Formula == "" {
  587. br.Msg = "请填写alpha值"
  588. return
  589. }
  590. a, e := strconv.ParseFloat(req.Formula, 64)
  591. if e != nil {
  592. br.Msg = "alpha值输入错误, 请重新输入"
  593. return
  594. }
  595. if a <= 0 || a >= 1 {
  596. br.Msg = "alpha值输入错误, 请重新输入"
  597. return
  598. }
  599. }
  600. if err != nil {
  601. br.Msg = "获取指标信息失败"
  602. br.ErrMsg = "获取指标信息失败:Err:" + err.Error()
  603. return
  604. }
  605. // 来源预测指标信息
  606. var fromEdbInfo *models.EdbInfo
  607. if fromEdbInfoId > 0 {
  608. fromEdbInfo, err = models.GetEdbInfoById(fromEdbInfoId)
  609. if err != nil {
  610. br.Msg = "获取指标信息失败"
  611. br.ErrMsg = "获取指标信息失败:Err:" + err.Error()
  612. return
  613. }
  614. if fromEdbInfo.EdbInfoType != 1 {
  615. br.Msg = "来源指标不是预测指标"
  616. br.ErrMsg = "来源指标不是预测指标"
  617. return
  618. }
  619. }
  620. var baseEdbInfoModel models.BasePredictEdbInfoInterface
  621. saveParams := models.BatchSaveCalculateBatchParams{
  622. Req: req,
  623. FromEdbInfo: fromEdbInfo,
  624. EdbCode: edbCode,
  625. UniqueCode: uniqueCode,
  626. SysUserId: req.AdminId,
  627. SysUserRealName: req.AdminName,
  628. }
  629. if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TBZ {
  630. if req.EdbInfoId <= 0 {
  631. if req.Frequency != fromEdbInfo.Frequency {
  632. br.Msg = "当前频度和原指标频度不一致"
  633. return
  634. }
  635. if req.Unit != "无" {
  636. br.Msg = "单位只允许为无,禁止选择其他单位"
  637. return
  638. }
  639. }
  640. }
  641. if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TCZ {
  642. if req.EdbInfoId <= 0 {
  643. if req.Frequency != fromEdbInfo.Frequency {
  644. br.Msg = "当前频度和原指标频度不一致"
  645. return
  646. }
  647. if req.Unit != fromEdbInfo.Unit {
  648. br.Msg = "当前单位和原指标单位不一致"
  649. return
  650. }
  651. }
  652. sourName = "预测同差"
  653. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateTcz(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  654. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS {
  655. sourName = "预测N数值移动平均计算"
  656. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateNszydpjjs(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  657. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_BP {
  658. sourName = "预测变频"
  659. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateBp(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  660. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_HBZ {
  661. checkDataList, tmpErr := models.GetPredictEdbDataListAllByStartDate(fromEdbInfo, 0, "")
  662. if tmpErr != nil && tmpErr.Error() != utils.ErrNoRow() {
  663. br.Msg = "判断环比值是否可计算失败"
  664. br.ErrMsg = "判断环比值是否可计算失败,Err:" + tmpErr.Error()
  665. return
  666. }
  667. for _, v := range checkDataList {
  668. if v.Value <= 0 {
  669. br.Msg = "原始数据中存在0或负数,该指标不能进行环比运算"
  670. 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"
  671. return
  672. }
  673. }
  674. sourName = "预测环比值"
  675. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateHbz(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, formulaInt)
  676. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_HCZ {
  677. sourName = "预测环差值"
  678. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateHcz(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, formulaInt)
  679. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_LJZZY {
  680. sourName = "预测累计值转月值"
  681. if fromEdbInfo.Frequency != "月度" {
  682. br.Msg = "请选择月度指标"
  683. return
  684. }
  685. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateLjzzy(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  686. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT {
  687. sourName = "预测时间移位"
  688. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateTimeShift(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  689. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_CJJX {
  690. sourName = "预测超季节性"
  691. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateCjjx(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, formulaInt)
  692. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_NHCC {
  693. sourName = "预测拟合残差"
  694. secondEdbInfoReq := req.EdbInfoIdArr[1]
  695. secondEdbInfo, tmpErr := models.GetEdbInfoById(secondEdbInfoReq.EdbInfoId)
  696. if tmpErr != nil {
  697. br.Msg = "获取因变量的指标信息失败"
  698. br.ErrMsg = "获取因变量的指标信息失败:Err:" + tmpErr.Error()
  699. return
  700. }
  701. if fromEdbInfo.EdbInfoId == secondEdbInfo.EdbInfoId {
  702. br.Msg = "两个指标不允许为同一个"
  703. br.ErrMsg = "两个指标不允许为同一个"
  704. return
  705. }
  706. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateNhcc(&req, fromEdbInfo, secondEdbInfo, edbCode, uniqueCode, nhccDate, adminId, adminName)
  707. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_JP {
  708. sourName = utils.DATA_SOURCE_NAME_PREDICT_CALCULATE_JP
  709. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateJp(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  710. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_NH {
  711. sourName = utils.DATA_SOURCE_NAME_PREDICT_CALCULATE_NH
  712. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateNh(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  713. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_KSZS {
  714. sourName = utils.DATA_SOURCE_NAME_PREDICT_CALCULATE_KSZS
  715. 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)
  716. } else {
  717. // 获取通用的数据源处理服务
  718. baseEdbInfoModel = models.GetBasePredictEdbInfoModel(req.Source)
  719. // 没有找到的话,那么就直接返回报错吧
  720. if baseEdbInfoModel == nil {
  721. br.Msg = "无效计算方式"
  722. br.ErrMsg = "无效计算方式,source:" + strconv.Itoa(req.Source)
  723. return
  724. }
  725. sourName = baseEdbInfoModel.GetSourceName()
  726. if req.EdbInfoId <= 0 {
  727. edbInfo, latestDateStr, latestValue, err, errMsg = baseEdbInfoModel.Add(saveParams)
  728. } else {
  729. edbInfo, err = models.GetEdbInfoById(req.EdbInfoId)
  730. if err != nil {
  731. if err.Error() == utils.ErrNoRow() {
  732. br.Msg = "指标已被删除,请刷新页面"
  733. br.ErrMsg = "指标已被删除,请刷新页面:Err:" + err.Error()
  734. return
  735. }
  736. br.Msg = "获取指标信息失败"
  737. br.ErrMsg = "获取指标信息失败:Err:" + err.Error()
  738. return
  739. }
  740. saveParams.EdbInfo = edbInfo
  741. latestDateStr, latestValue, err, errMsg = baseEdbInfoModel.Edit(saveParams)
  742. }
  743. }
  744. if err != nil {
  745. br.Msg = "生成" + sourName + "失败"
  746. if errMsg != `` {
  747. br.Msg = errMsg
  748. }
  749. br.Msg = "生成" + sourName + "失败 Err:" + err.Error()
  750. return
  751. }
  752. if edbInfo == nil {
  753. br.Msg = "生成" + sourName + "失败"
  754. br.ErrMsg = "生成" + sourName + "失败,edbInfo is nil"
  755. return
  756. }
  757. //处理同名指标
  758. {
  759. edbNameList, err := models.GetEdbInfoByName(req.EdbName)
  760. if err != nil {
  761. br.Msg = "保存失败"
  762. br.ErrMsg = "获取指标信息失败,Err:" + err.Error()
  763. return
  764. }
  765. if len(edbNameList) >= 2 {
  766. for _, v := range edbNameList {
  767. edbName := v.EdbName + "(" + v.SourceName + ")"
  768. err = models.ModifyEdbInfoNameSource(edbName, v.EdbInfoId)
  769. if err != nil {
  770. br.Msg = "保存失败"
  771. br.ErrMsg = "修改指标名称失败,Err:" + err.Error()
  772. return
  773. }
  774. }
  775. }
  776. }
  777. // 更新指标最大最小值
  778. err, errMsg = models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  779. if err != nil {
  780. br.Msg = errMsg
  781. br.ErrMsg = err.Error()
  782. return
  783. }
  784. resp := models.AddEdbInfoResp{
  785. EdbInfoId: edbInfo.EdbInfoId,
  786. UniqueCode: uniqueCode,
  787. }
  788. br.Ret = 200
  789. br.Success = true
  790. br.Msg = "保存成功"
  791. br.Data = resp
  792. br.IsAddLog = true
  793. }
  794. // Refresh
  795. // @Title 刷新计算指标接口
  796. // @Description 刷新计算指标接口
  797. // @Success 200 {object} models.RefreshEdbInfoReq
  798. // @router /refresh [post]
  799. func (this *PredictCalculateController) Refresh() {
  800. br := new(models.BaseResponse).Init()
  801. var cacheKey string
  802. defer func() {
  803. this.Data["json"] = br
  804. this.ServeJSON()
  805. }()
  806. var req models.RefreshEdbInfoReq
  807. err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
  808. if err != nil {
  809. br.Msg = "参数解析异常!"
  810. br.ErrMsg = "参数解析失败,Err:" + err.Error()
  811. return
  812. }
  813. if req.EdbCode == "" {
  814. br.Msg = "请输入指标编码!"
  815. br.ErrMsg = "请输入指标编码,指标编码为空"
  816. return
  817. }
  818. if req.EdbInfoId <= 0 {
  819. br.Msg = "请输入指标ID!"
  820. br.ErrMsg = "请输入指标ID"
  821. return
  822. }
  823. edbInfo, err := models.GetEdbInfoById(req.EdbInfoId)
  824. if err != nil {
  825. br.Msg = "指标不存在!"
  826. br.ErrMsg = "指标不存在"
  827. return
  828. }
  829. cacheKey = utils.CACHE_EDB_DATA_REFRESH + strconv.Itoa(edbInfo.Source) + "_" + req.EdbCode
  830. if utils.Rc.IsExist(cacheKey) {
  831. br.Ret = 501
  832. br.Success = true
  833. br.Msg = "系统处理中,请稍后重试"
  834. br.IsSendEmail = false
  835. return
  836. }
  837. utils.Rc.SetNX(cacheKey, 1, 1*time.Minute)
  838. defer func() {
  839. _ = utils.Rc.Delete(cacheKey)
  840. }()
  841. startDate := req.StartDate
  842. var errMsg string
  843. endDate := time.Now().Format(utils.FormatDate)
  844. edbInfoId := edbInfo.EdbInfoId
  845. source := edbInfo.Source
  846. var latestDateStr string // 最近实际数据的日期
  847. var latestValue float64 // 最近实际数据的值
  848. var baseEdbInfoModel models.BasePredictEdbInfoInterface
  849. refreshParams := models.RefreshParams{
  850. EdbInfo: edbInfo,
  851. }
  852. switch source {
  853. case utils.DATA_SOURCE_PREDICT_CALCULATE_TBZ: //刷新同比值
  854. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  855. if err != nil {
  856. errMsg = "GetEdbInfoCalculateTbzDetail Err:" + err.Error()
  857. break
  858. }
  859. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  860. if err != nil {
  861. errMsg = "GetEdbInfoById Err:" + err.Error()
  862. break
  863. }
  864. refreshParams.FromEdbInfo = fromEdbInfo
  865. refreshParams.StartDate = edbInfo.StartDate
  866. }
  867. switch source {
  868. case utils.DATA_SOURCE_PREDICT_CALCULATE:
  869. //startDate = edbInfo.StartDate
  870. //sTime, err := time.ParseInLocation(utils.FormatDate, edbInfo.EndDate, time.Local)
  871. //if err != nil {
  872. // return
  873. //}
  874. //startDate = sTime.Format(utils.FormatDate)
  875. startDate = ""
  876. var edbInfoIdBytes []string
  877. calculateMap, err := models.GetEdbInfoCalculateDetailList(edbInfo.EdbInfoId)
  878. if err != nil {
  879. errMsg = "GetEdbInfoCalculateDetail Err:" + err.Error()
  880. break
  881. }
  882. var formulaStr string
  883. edbInfoList := make([]*models.EdbInfo, 0)
  884. for _, v := range calculateMap {
  885. formulaStr += v.FromTag + ","
  886. edbInfoIdBytes = append(edbInfoIdBytes, v.FromTag)
  887. edbInfo, _ := models.GetEdbInfoById(v.FromEdbInfoId)
  888. edbInfoList = append(edbInfoList, edbInfo)
  889. }
  890. latestDateStr, latestValue, err = models.RefreshAllPredictCalculate(edbInfoList, edbInfo.EdbInfoId, source, edbInfo.EdbCode, edbInfo.CalculateFormula, startDate, edbInfoIdBytes, edbInfo.EmptyType, edbInfo.MaxEmptyType)
  891. if err != nil && err.Error() != utils.ErrNoRow() {
  892. errMsg = "RefreshCalculate Err:" + err.Error()
  893. break
  894. }
  895. case utils.DATA_SOURCE_PREDICT_CALCULATE_TCZ: //同差值
  896. calculateTcz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  897. if err != nil {
  898. errMsg = "GetEdbInfoCalculateTczDetail Err:" + err.Error()
  899. break
  900. }
  901. fromEdbInfo, err := models.GetEdbInfoById(calculateTcz.FromEdbInfoId)
  902. if err != nil {
  903. errMsg = "GetEdbInfoById Err:" + err.Error()
  904. break
  905. }
  906. startDate = edbInfo.StartDate
  907. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateTcz(edbInfoId, source, fromEdbInfo, calculateTcz.EdbCode, startDate)
  908. if err != nil && err.Error() != utils.ErrNoRow() {
  909. errMsg = "RefreshCalculateTcz Err:" + err.Error()
  910. break
  911. }
  912. case utils.DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS: //N数值移动平均计算
  913. calculateInfo, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  914. if err != nil {
  915. errMsg = "GetEdbInfoCalculateTczDetail Err:" + err.Error()
  916. break
  917. }
  918. fromEdbInfo, err := models.GetEdbInfoById(calculateInfo.FromEdbInfoId)
  919. if err != nil {
  920. errMsg = "GetEdbInfoById Err:" + err.Error()
  921. break
  922. }
  923. var formulaInt int
  924. formulaInt, _ = strconv.Atoi(calculateInfo.CalculateFormula)
  925. if formulaInt <= 0 {
  926. errMsg = "N值输入错误,请重新输入"
  927. break
  928. }
  929. startDate = edbInfo.StartDate
  930. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateNszydpjjs(edbInfoId, source, formulaInt, fromEdbInfo, calculateInfo.EdbCode, startDate)
  931. if err != nil && err.Error() != utils.ErrNoRow() {
  932. errMsg = "RefreshAllPredictCalculateNszydpjjs Err:" + err.Error()
  933. break
  934. }
  935. case utils.DATA_SOURCE_PREDICT_CALCULATE_BP: //刷新变频
  936. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  937. if err != nil {
  938. errMsg = "GetEdbInfoCalculateTbzDetail 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. endDate = time.Now().Format(utils.FormatDate)
  947. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateBp(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate, endDate)
  948. if err != nil && err.Error() != utils.ErrNoRow() {
  949. errMsg = "RefreshAllPredictCalculateBp Err:" + err.Error()
  950. break
  951. }
  952. case utils.DATA_SOURCE_PREDICT_CALCULATE_HBZ: //刷新环比值
  953. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  954. if err != nil {
  955. errMsg = "GetEdbInfoCalculateHbzDetail Err:" + err.Error()
  956. break
  957. }
  958. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  959. if err != nil {
  960. errMsg = "GetEdbInfoById Err:" + err.Error()
  961. break
  962. }
  963. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  964. endDate = time.Now().Format(utils.FormatDate)
  965. formulaInt, _ := strconv.Atoi(edbInfo.CalculateFormula)
  966. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateHbz(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate, endDate, formulaInt)
  967. if err != nil && err.Error() != utils.ErrNoRow() {
  968. errMsg = "RefreshAllPredictCalculateHbz Err:" + err.Error()
  969. break
  970. }
  971. case utils.DATA_SOURCE_PREDICT_CALCULATE_HCZ: //刷新环差值
  972. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  973. if err != nil {
  974. errMsg = "GetEdbInfoCalculateHczDetail Err:" + err.Error()
  975. break
  976. }
  977. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  978. if err != nil {
  979. errMsg = "GetEdbInfoById Err:" + err.Error()
  980. break
  981. }
  982. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  983. endDate = time.Now().Format(utils.FormatDate)
  984. formulaInt, _ := strconv.Atoi(edbInfo.CalculateFormula)
  985. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateHcz(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate, endDate, formulaInt)
  986. if err != nil && err.Error() != utils.ErrNoRow() {
  987. errMsg = "RefreshAllPredictCalculateHcz Err:" + err.Error()
  988. break
  989. }
  990. case utils.DATA_SOURCE_PREDICT_CALCULATE_LJZZY: //刷新累计值转月值
  991. calculateLjzzy, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  992. if err != nil {
  993. errMsg = "GetEdbInfoCalculateLjzzyDetail Err:" + err.Error()
  994. break
  995. }
  996. fromEdbInfo, err := models.GetEdbInfoById(calculateLjzzy.FromEdbInfoId)
  997. if err != nil {
  998. errMsg = "GetEdbInfoById Err:" + err.Error()
  999. break
  1000. }
  1001. endDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  1002. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  1003. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateLjzzy(edbInfoId, source, fromEdbInfo, calculateLjzzy.EdbCode, startDate, endDate)
  1004. if err != nil && err.Error() != utils.ErrNoRow() {
  1005. errMsg = "RefreshAllPredictCalculateLjzzy Err:" + err.Error()
  1006. break
  1007. }
  1008. case utils.DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT:
  1009. calculate, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  1010. if err != nil {
  1011. errMsg = "GetEdbInfoCalculateTbzDetail Err:" + err.Error()
  1012. break
  1013. }
  1014. fromEdbInfo, err := models.GetEdbInfoById(calculate.FromEdbInfoId)
  1015. if err != nil {
  1016. errMsg = "GetEdbInfoById Err:" + err.Error()
  1017. break
  1018. }
  1019. //startDate = edbInfo.StartDate
  1020. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  1021. endDate = time.Now().Format(utils.FormatDate)
  1022. formulaInt, _ := strconv.Atoi(calculate.CalculateFormula)
  1023. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateTimeShift(edbInfoId, source, formulaInt, calculate.MoveType, fromEdbInfo, calculate.EdbCode, startDate, endDate, calculate.MoveFrequency)
  1024. if err != nil && err.Error() != utils.ErrNoRow() {
  1025. errMsg = "RefreshAllCalculateTimeShift Err:" + err.Error()
  1026. }
  1027. case utils.DATA_SOURCE_PREDICT_CALCULATE_LJZTBPJ: //刷新累计值同比拼接
  1028. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateLjztbpj(edbInfo)
  1029. if err != nil && err.Error() != utils.ErrNoRow() {
  1030. errMsg = "RefreshAllPredictCalculateLjztbpj Err:" + err.Error()
  1031. break
  1032. }
  1033. case utils.DATA_SOURCE_PREDICT_CALCULATE_ZJPJ: //刷新直接拼接
  1034. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateZjpj(edbInfo)
  1035. if err != nil && err.Error() != utils.ErrNoRow() {
  1036. errMsg = "RefreshAllPredictCalculateZjpj Err:" + err.Error()
  1037. break
  1038. }
  1039. case utils.DATA_SOURCE_PREDICT_CALCULATE_CJJX: //超季节性
  1040. calculateCjjx, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  1041. if err != nil {
  1042. errMsg = "GetEdbInfoCalculateNszydpjjsDetail Err:" + err.Error()
  1043. break
  1044. }
  1045. fromEdbInfo, err := models.GetEdbInfoById(calculateCjjx.FromEdbInfoId)
  1046. if err != nil {
  1047. errMsg = "GetEdbInfoById Err:" + err.Error()
  1048. break
  1049. }
  1050. formulaInt, _ := strconv.Atoi(edbInfo.CalculateFormula)
  1051. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  1052. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateCjjx(edbInfoId, edbInfo.Source, fromEdbInfo, calculateCjjx.EdbCode, startDate, "", edbInfo.Calendar, formulaInt)
  1053. if err != nil && err.Error() != utils.ErrNoRow() {
  1054. errMsg = "RefreshAllPredictCalculateCjjx Err:" + err.Error()
  1055. break
  1056. }
  1057. case utils.DATA_SOURCE_PREDICT_CALCULATE_NHCC: //nhcc
  1058. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateNhcc(edbInfo)
  1059. if err != nil && err.Error() != utils.ErrNoRow() {
  1060. errMsg = "RefreshAllPredictCalculateNhcc Err:" + err.Error()
  1061. break
  1062. }
  1063. case utils.DATA_SOURCE_PREDICT_CALCULATE_JP: //降频
  1064. calculateInfo, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  1065. if err != nil {
  1066. errMsg = "GetEdbInfoCalculateTczDetail Err:" + err.Error()
  1067. break
  1068. }
  1069. fromEdbInfo, err := models.GetEdbInfoById(calculateInfo.FromEdbInfoId)
  1070. if err != nil {
  1071. errMsg = "GetEdbInfoById Err:" + err.Error()
  1072. break
  1073. }
  1074. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateJp(edbInfoId, source, fromEdbInfo, calculateInfo.EdbCode, edbInfo.Frequency, edbInfo.CalculateFormula)
  1075. if err != nil && err.Error() != utils.ErrNoRow() {
  1076. errMsg = "RefreshAllPredictCalculateJp Err:" + err.Error()
  1077. break
  1078. }
  1079. case utils.DATA_SOURCE_PREDICT_CALCULATE_NH: //年化
  1080. calculateInfo, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  1081. if err != nil {
  1082. errMsg = "GetEdbInfoCalculateTczDetail Err:" + err.Error()
  1083. break
  1084. }
  1085. fromEdbInfo, err := models.GetEdbInfoById(calculateInfo.FromEdbInfoId)
  1086. if err != nil {
  1087. errMsg = "GetEdbInfoById Err:" + err.Error()
  1088. break
  1089. }
  1090. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateNh(edbInfoId, source, fromEdbInfo, calculateInfo.EdbCode, edbInfo.Frequency, edbInfo.CalculateFormula)
  1091. if err != nil && err.Error() != utils.ErrNoRow() {
  1092. errMsg = "RefreshAllPredictCalculateNh Err:" + err.Error()
  1093. break
  1094. }
  1095. case utils.DATA_SOURCE_PREDICT_CALCULATE_KSZS: //扩散指数
  1096. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateKszs(edbInfo)
  1097. if err != nil && err.Error() != utils.ErrNoRow() {
  1098. errMsg = "RefreshAllPredictCalculateKszs Err:" + err.Error()
  1099. break
  1100. }
  1101. default:
  1102. // 获取通用的数据源处理服务
  1103. baseEdbInfoModel = models.GetBasePredictEdbInfoModel(source)
  1104. // 没有找到的话,那么就直接返回报错吧
  1105. if baseEdbInfoModel == nil {
  1106. br.Msg = "来源异常,请联系相关开发!"
  1107. br.ErrMsg = "来源异常,请联系相关开发"
  1108. return
  1109. }
  1110. latestDateStr, latestValue, err, errMsg = baseEdbInfoModel.Refresh(refreshParams)
  1111. }
  1112. if errMsg != `` {
  1113. br.Msg = "刷新指标失败!"
  1114. br.ErrMsg = "刷新指标失败,err:" + errMsg
  1115. return
  1116. }
  1117. // 更新指标最大最小值
  1118. err, errMsg = models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  1119. if err != nil {
  1120. br.Msg = errMsg
  1121. br.ErrMsg = err.Error()
  1122. return
  1123. }
  1124. // 更新ES
  1125. go logic.UpdateEs(edbInfo.EdbInfoId)
  1126. br.Ret = 200
  1127. br.Success = true
  1128. br.Msg = "获取成功"
  1129. }
  1130. // CalculateComputeCorrelation
  1131. // @Title 拟合残差计算相关性接口
  1132. // @Description 拟合残差计算相关性接口
  1133. // @Param request body models.EdbInfoCalculateBatchSaveReq true "type json string"
  1134. // @Success Ret=200 返回指标id
  1135. // @router /compute_correlation [post]
  1136. func (this *PredictCalculateController) CalculateComputeCorrelation() {
  1137. br := new(models.BaseResponse).Init()
  1138. defer func() {
  1139. this.Data["json"] = br
  1140. this.ServeJSON()
  1141. }()
  1142. var req models.EdbInfoCalculateBatchSaveReq
  1143. err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
  1144. if err != nil {
  1145. br.Msg = "参数解析异常!"
  1146. br.ErrMsg = "参数解析失败,Err:" + err.Error()
  1147. return
  1148. }
  1149. if len(req.EdbInfoIdArr) != 2 {
  1150. br.Msg = "选择的指标异常,请重新选择"
  1151. return
  1152. }
  1153. //校验时间格式
  1154. //数据格式:2022-11-01,2022-11-10
  1155. timeList := strings.Split(req.Formula, ",")
  1156. if len(timeList) != 2 {
  1157. br.Msg = "选择时间有误,请重新输入"
  1158. return
  1159. }
  1160. startDate, err := time.ParseInLocation(utils.FormatDate, timeList[0], time.Local)
  1161. if err != nil {
  1162. br.Msg = "开始日期有误,请重新输入"
  1163. return
  1164. }
  1165. endDate, err := time.ParseInLocation(utils.FormatDate, timeList[1], time.Local)
  1166. if err != nil {
  1167. br.Msg = "结束日期有误,请重新输入"
  1168. return
  1169. }
  1170. if utils.GetTimeSubDay(startDate, endDate) < 2 {
  1171. br.Msg = "日期间隔不得少于两天"
  1172. return
  1173. }
  1174. var nhccDate models.NhccDate // 拟合残差的日期
  1175. nhccDate.StartDate = startDate
  1176. nhccDate.EndDate = endDate
  1177. // 来源预测指标信息
  1178. fromEdbInfoId := req.EdbInfoIdArr[0].EdbInfoId
  1179. if fromEdbInfoId <= 0 {
  1180. br.Msg = "请选择指标"
  1181. return
  1182. }
  1183. // 来源指标(自变量指标)
  1184. fromEdbInfo, err := models.GetEdbInfoById(fromEdbInfoId)
  1185. if err != nil {
  1186. br.Msg = "获取指标信息失败"
  1187. br.ErrMsg = "获取指标信息失败:Err:" + err.Error()
  1188. return
  1189. }
  1190. if fromEdbInfo.EdbInfoType != 1 {
  1191. br.Msg = "来源指标不是预测指标"
  1192. br.ErrMsg = "来源指标不是预测指标"
  1193. return
  1194. }
  1195. // 因变量指标
  1196. secondEdbInfoReq := req.EdbInfoIdArr[1]
  1197. secondEdbInfo, tmpErr := models.GetEdbInfoById(secondEdbInfoReq.EdbInfoId)
  1198. if tmpErr != nil {
  1199. br.Msg = "获取因变量的指标信息失败"
  1200. br.ErrMsg = "获取因变量的指标信息失败:Err:" + tmpErr.Error()
  1201. return
  1202. }
  1203. if fromEdbInfo.EdbInfoId == secondEdbInfo.EdbInfoId {
  1204. br.Msg = "两个指标不允许为同一个"
  1205. br.ErrMsg = "两个指标不允许为同一个"
  1206. return
  1207. }
  1208. rVal, err := models.CalculatePredictComputeCorrelation(&req, fromEdbInfo, secondEdbInfo, nhccDate)
  1209. if err != nil {
  1210. br.Msg = "计算失败"
  1211. br.ErrMsg = "计算失败,ERR:" + err.Error()
  1212. return
  1213. }
  1214. br.Ret = 200
  1215. br.Success = true
  1216. br.Msg = "计算成功"
  1217. br.Data = rVal
  1218. br.IsAddLog = true
  1219. }