base_from_predict_calculate.go 43 KB

1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586878889909192939495969798991001011021031041051061071081091101111121131141151161171181191201211221231241251261271281291301311321331341351361371381391401411421431441451461471481491501511521531541551561571581591601611621631641651661671681691701711721731741751761771781791801811821831841851861871881891901911921931941951961971981992002012022032042052062072082092102112122132142152162172182192202212222232242252262272282292302312322332342352362372382392402412422432442452462472482492502512522532542552562572582592602612622632642652662672682692702712722732742752762772782792802812822832842852862872882892902912922932942952962972982993003013023033043053063073083093103113123133143153163173183193203213223233243253263273283293303313323333343353363373383393403413423433443453463473483493503513523533543553563573583593603613623633643653663673683693703713723733743753763773783793803813823833843853863873883893903913923933943953963973983994004014024034044054064074084094104114124134144154164174184194204214224234244254264274284294304314324334344354364374384394404414424434444454464474484494504514524534544554564574584594604614624634644654664674684694704714724734744754764774784794804814824834844854864874884894904914924934944954964974984995005015025035045055065075085095105115125135145155165175185195205215225235245255265275285295305315325335345355365375385395405415425435445455465475485495505515525535545555565575585595605615625635645655665675685695705715725735745755765775785795805815825835845855865875885895905915925935945955965975985996006016026036046056066076086096106116126136146156166176186196206216226236246256266276286296306316326336346356366376386396406416426436446456466476486496506516526536546556566576586596606616626636646656666676686696706716726736746756766776786796806816826836846856866876886896906916926936946956966976986997007017027037047057067077087097107117127137147157167177187197207217227237247257267277287297307317327337347357367377387397407417427437447457467477487497507517527537547557567577587597607617627637647657667677687697707717727737747757767777787797807817827837847857867877887897907917927937947957967977987998008018028038048058068078088098108118128138148158168178188198208218228238248258268278288298308318328338348358368378388398408418428438448458468478488498508518528538548558568578588598608618628638648658668678688698708718728738748758768778788798808818828838848858868878888898908918928938948958968978988999009019029039049059069079089099109119129139149159169179189199209219229239249259269279289299309319329339349359369379389399409419429439449459469479489499509519529539549559569579589599609619629639649659669679689699709719729739749759769779789799809819829839849859869879889899909919929939949959969979989991000100110021003100410051006100710081009101010111012101310141015101610171018101910201021102210231024102510261027102810291030103110321033103410351036103710381039104010411042104310441045104610471048104910501051105210531054105510561057105810591060106110621063106410651066106710681069107010711072107310741075107610771078107910801081108210831084108510861087108810891090109110921093109410951096109710981099110011011102110311041105110611071108110911101111111211131114111511161117111811191120112111221123112411251126112711281129113011311132113311341135113611371138113911401141114211431144114511461147114811491150115111521153115411551156115711581159116011611162116311641165116611671168116911701171117211731174117511761177117811791180118111821183118411851186118711881189119011911192119311941195119611971198119912001201120212031204120512061207120812091210121112121213121412151216121712181219122012211222122312241225122612271228122912301231123212331234123512361237123812391240124112421243124412451246124712481249125012511252125312541255125612571258125912601261126212631264126512661267126812691270127112721273127412751276127712781279128012811282128312841285128612871288128912901291129212931294129512961297129812991300130113021303130413051306130713081309131013111312131313141315131613171318131913201321132213231324132513261327132813291330133113321333133413351336133713381339
  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, this.Lang)
  36. } else {
  37. editPredictCalculate(br, req, this.Lang)
  38. }
  39. }
  40. // AddPredictCalculate 添加预测指标运算
  41. func addPredictCalculate(br *models.BaseResponse, req models.EdbInfoCalculateSaveReq, lang string) {
  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. formulaSlice, err := utils.CheckFormulaJson(req.CalculateFormula)
  97. if err != nil {
  98. br.Msg = "公式格式错误,请重新填写"
  99. return
  100. }
  101. for _, formula := range formulaSlice {
  102. formulaMap, e := utils.CheckFormula(formula)
  103. if e != nil {
  104. br.Msg = "公式错误,请重新填写"
  105. return
  106. }
  107. for _, v := range formulaMap {
  108. if !strings.Contains(formulaStr, v) {
  109. br.Msg = "公式错误,请重新填写"
  110. return
  111. }
  112. }
  113. }
  114. // 根据指标名称和指标ID校验库中是否还存在其他同名指标
  115. existEdbName, err := logic.CheckExistByEdbNameAndEdbInfoId(1, 0, req.EdbName, lang)
  116. if err != nil {
  117. br.Msg = "判断指标名称是否存在失败"
  118. br.ErrMsg = "判断指标名称是否存在失败,Err:" + err.Error()
  119. return
  120. }
  121. if existEdbName {
  122. br.Msg = "指标名称已存在,请重新填写"
  123. br.ErrMsg = "指标名称已存在,请重新填写"
  124. return
  125. }
  126. // 关联指标信息
  127. edbInfoList := make([]*models.EdbInfo, 0)
  128. calculateMappingList := make([]*models.EdbInfoCalculateMapping, 0)
  129. edbInfoTag := make(map[string]int)
  130. for k, v := range req.EdbInfoIdArr {
  131. edbInfoTag[v.FromTag] = v.EdbInfoId
  132. fromEdbInfo, err := models.GetEdbInfoById(v.EdbInfoId)
  133. if err != nil {
  134. if err.Error() == utils.ErrNoRow() {
  135. br.Msg = "生成计算指标失败"
  136. br.Msg = "指标 " + strconv.Itoa(v.EdbInfoId) + " 不存在"
  137. return
  138. }
  139. br.Msg = "生成计算指标失败"
  140. br.Msg = "获取指标失败:Err:" + err.Error()
  141. return
  142. }
  143. edbInfoList = append(edbInfoList, fromEdbInfo)
  144. //关联关系表
  145. {
  146. calculateMappingItem := &models.EdbInfoCalculateMapping{
  147. CreateTime: time.Now(),
  148. ModifyTime: time.Now(),
  149. Sort: k + 1,
  150. //EdbCode: edbCode,
  151. //EdbInfoId: int(edbInfoId),
  152. FromEdbInfoId: fromEdbInfo.EdbInfoId,
  153. FromEdbCode: fromEdbInfo.EdbCode,
  154. FromEdbName: fromEdbInfo.EdbName,
  155. FromSource: fromEdbInfo.Source,
  156. FromSourceName: fromEdbInfo.SourceName,
  157. FromTag: v.FromTag,
  158. Source: utils.DATA_SOURCE_PREDICT_CALCULATE,
  159. SourceName: "预测指标运算",
  160. }
  161. calculateMappingList = append(calculateMappingList, calculateMappingItem)
  162. }
  163. }
  164. for _, v := range formulaSlice {
  165. formulaMap, e := utils.CheckFormula(v)
  166. if e != nil {
  167. br.Msg = "公式错误,请重新填写"
  168. return
  169. }
  170. //预先计算,判断公式是否正常
  171. ok, _ := models.CheckFormula2(edbInfoList, formulaMap, v, edbInfoIdBytes)
  172. if !ok {
  173. br.Msg = "生成计算指标失败,请使用正确的计算公式"
  174. return
  175. }
  176. }
  177. // 指标入库
  178. //生成指标编码
  179. edbCode, err := utils.GenerateEdbCode(1, "2")
  180. if err != nil {
  181. br.Msg = "指标生成失败"
  182. br.ErrMsg = "指标编码生成失败,Err:" + err.Error()
  183. return
  184. }
  185. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  186. uniqueCode := utils.MD5(utils.DATA_PREFIX + "_" + timestamp)
  187. edbInfo := &models.EdbInfo{
  188. EdbInfoType: 1,
  189. Source: utils.DATA_SOURCE_PREDICT_CALCULATE,
  190. SourceName: "预测指标运算",
  191. EdbCode: edbCode,
  192. EdbName: req.EdbName,
  193. EdbNameSource: req.EdbName,
  194. Frequency: req.Frequency,
  195. Unit: req.Unit,
  196. ClassifyId: req.ClassifyId,
  197. SysUserId: req.AdminId,
  198. SysUserRealName: req.AdminName,
  199. CreateTime: time.Now(),
  200. ModifyTime: time.Now(),
  201. UniqueCode: uniqueCode,
  202. CalculateFormula: req.CalculateFormula,
  203. EdbType: 2,
  204. EmptyType: req.EmptyType,
  205. MaxEmptyType: req.MaxEmptyType,
  206. Extra: req.Extra,
  207. EdbNameEn: req.EdbName,
  208. UnitEn: req.Unit,
  209. Sort: models.GetAddEdbMaxSortByClassifyId(req.ClassifyId, utils.PREDICT_EDB_INFO_TYPE),
  210. }
  211. edbInfoId, err := models.AddEdbInfo(edbInfo)
  212. if err != nil {
  213. br.Msg = "生成计算指标失败"
  214. br.Msg = "生成计算指标失败,AddEdbInfo Err:" + err.Error()
  215. return
  216. }
  217. edbInfo.EdbInfoId = int(edbInfoId)
  218. //处理同名指标
  219. {
  220. edbNameList, err := models.GetEdbInfoByName(req.EdbName)
  221. if err != nil {
  222. br.Msg = "保存失败"
  223. br.ErrMsg = "获取指标信息失败,Err:" + err.Error()
  224. return
  225. }
  226. if len(edbNameList) >= 2 {
  227. for _, v := range edbNameList {
  228. edbName := v.EdbName + "(" + v.SourceName + ")"
  229. err = models.ModifyEdbInfoNameSource(edbName, v.EdbInfoId)
  230. if err != nil {
  231. br.Msg = "保存失败"
  232. br.ErrMsg = "修改指标名称失败,Err:" + err.Error()
  233. return
  234. }
  235. }
  236. }
  237. }
  238. //关联关系表入库
  239. {
  240. if len(calculateMappingList) > 0 {
  241. for k, v := range calculateMappingList {
  242. v.EdbCode = edbInfo.EdbCode
  243. v.EdbInfoId = edbInfo.EdbInfoId
  244. calculateMappingList[k] = v
  245. }
  246. go models.AddEdbInfoCalculateMappingMulti(calculateMappingList)
  247. }
  248. }
  249. // 开始添加预测指标
  250. latestDateStr, latestValue, err := models.AddPredictCalculateData(edbInfoList, edbInfoTag, edbInfo, edbCode, req.CalculateFormula, edbInfoIdBytes)
  251. if err != nil {
  252. br.Msg = "生成计算指标失败"
  253. br.Msg = "生成计算指标失败,Calculate Err:" + err.Error()
  254. return
  255. }
  256. // 更新指标最大最小值
  257. err, errMsg := models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  258. if err != nil {
  259. br.Msg = errMsg
  260. br.ErrMsg = err.Error()
  261. return
  262. }
  263. resp := models.AddEdbInfoResp{
  264. EdbInfoId: int(edbInfoId),
  265. UniqueCode: uniqueCode,
  266. }
  267. br.Ret = 200
  268. br.Success = true
  269. br.Msg = "保存成功"
  270. br.Data = resp
  271. br.IsAddLog = true
  272. }
  273. // editPredictCalculate 编辑预测指标运算
  274. func editPredictCalculate(br *models.BaseResponse, req models.EdbInfoCalculateSaveReq, lang string) {
  275. req.EdbName = strings.Trim(req.EdbName, " ")
  276. if req.EdbName == "" {
  277. br.Msg = "指标名称不能为空"
  278. return
  279. }
  280. if req.Frequency == "" {
  281. br.Msg = "频率不能为空"
  282. return
  283. }
  284. if req.Unit == "" {
  285. br.Msg = "单位不能为空"
  286. return
  287. }
  288. if req.ClassifyId <= 0 {
  289. br.Msg = "请选择分类"
  290. return
  291. }
  292. if len(req.EdbInfoIdArr) <= 0 {
  293. br.Msg = "请选择指标"
  294. return
  295. }
  296. if req.CalculateFormula == "" {
  297. br.Msg = "请填写指标"
  298. return
  299. }
  300. //加入缓存机制,避免创建同一个名称的指标 start
  301. redisKey := fmt.Sprint("predict_edb_info:calculate:batch:save:", utils.DATA_SOURCE_PREDICT_CALCULATE, ":", req.EdbName)
  302. isExist := utils.Rc.IsExist(redisKey)
  303. if isExist {
  304. br.Msg = "指标正在处理,请勿重复提交"
  305. // return
  306. } else {
  307. //设置3分钟缓存
  308. utils.Rc.SetNX(redisKey, 1, time.Second*300)
  309. defer func() {
  310. _ = utils.Rc.Delete(redisKey)
  311. }()
  312. }
  313. calculateFormula := req.CalculateFormula
  314. calculateFormula = strings.Replace(calculateFormula, "(", "(", -1)
  315. calculateFormula = strings.Replace(calculateFormula, ")", ")", -1)
  316. calculateFormula = strings.Replace(calculateFormula, ",", ",", -1)
  317. calculateFormula = strings.Replace(calculateFormula, "。", ".", -1)
  318. if strings.Contains(req.CalculateFormula, "%") {
  319. calculateFormula = strings.Replace(calculateFormula, "%", "*0.01", -1)
  320. }
  321. req.CalculateFormula = calculateFormula
  322. //检验公式
  323. var formulaStr string
  324. var edbInfoIdBytes []string
  325. for _, v := range req.EdbInfoIdArr {
  326. formulaStr += v.FromTag + ","
  327. edbInfoIdBytes = append(edbInfoIdBytes, v.FromTag)
  328. }
  329. formulaSlice, err := utils.CheckFormulaJson(req.CalculateFormula)
  330. if err != nil {
  331. br.Msg = "公式格式错误,请重新填写"
  332. return
  333. }
  334. for _, formula := range formulaSlice {
  335. formulaMap, e := utils.CheckFormula(formula)
  336. if e != nil {
  337. br.Msg = "公式错误,请重新填写"
  338. return
  339. }
  340. for _, v := range formulaMap {
  341. if !strings.Contains(formulaStr, v) {
  342. br.Msg = "公式错误,请重新填写"
  343. return
  344. }
  345. }
  346. }
  347. // 获取计算指标信息
  348. edbInfo, err := models.GetEdbInfoById(req.EdbInfoId)
  349. if err != nil {
  350. br.Msg = "获取指标信息失败"
  351. br.ErrMsg = "获取指标信息失败,Err:" + err.Error()
  352. return
  353. }
  354. // 根据指标名称和指标ID校验库中是否还存在其他同名指标
  355. existEdbName, err := logic.CheckExistByEdbNameAndEdbInfoId(edbInfo.EdbInfoType, edbInfo.EdbInfoId, req.EdbName, lang)
  356. if err != nil {
  357. br.Msg = "判断指标名称是否存在失败"
  358. br.ErrMsg = "判断指标名称是否存在失败,Err:" + err.Error()
  359. return
  360. }
  361. if existEdbName {
  362. br.Msg = "指标名称已存在,请重新填写"
  363. br.ErrMsg = "指标名称已存在,请重新填写"
  364. return
  365. }
  366. // 关联指标信息
  367. edbInfoList := make([]*models.EdbInfo, 0)
  368. calculateMappingList := make([]*models.EdbInfoCalculateMapping, 0)
  369. edbInfoTag := make(map[string]int)
  370. for k, v := range req.EdbInfoIdArr {
  371. edbInfoTag[v.FromTag] = v.EdbInfoId
  372. fromEdbInfo, err := models.GetEdbInfoById(v.EdbInfoId)
  373. if err != nil {
  374. if err.Error() == utils.ErrNoRow() {
  375. br.Msg = "生成计算指标失败"
  376. br.Msg = "指标 " + strconv.Itoa(v.EdbInfoId) + " 不存在"
  377. return
  378. }
  379. br.Msg = "生成计算指标失败"
  380. br.Msg = "获取指标失败:Err:" + err.Error()
  381. return
  382. }
  383. edbInfoList = append(edbInfoList, fromEdbInfo)
  384. //关联关系表
  385. {
  386. calculateMappingItem := &models.EdbInfoCalculateMapping{
  387. CreateTime: time.Now(),
  388. ModifyTime: time.Now(),
  389. Sort: k + 1,
  390. EdbCode: edbInfo.EdbCode,
  391. EdbInfoId: edbInfo.EdbInfoId,
  392. FromEdbInfoId: fromEdbInfo.EdbInfoId,
  393. FromEdbCode: fromEdbInfo.EdbCode,
  394. FromEdbName: fromEdbInfo.EdbName,
  395. FromSource: fromEdbInfo.Source,
  396. FromSourceName: fromEdbInfo.SourceName,
  397. FromTag: v.FromTag,
  398. Source: utils.DATA_SOURCE_PREDICT_CALCULATE,
  399. SourceName: "预测指标运算",
  400. }
  401. calculateMappingList = append(calculateMappingList, calculateMappingItem)
  402. }
  403. }
  404. for _, v := range formulaSlice {
  405. formulaMap, e := utils.CheckFormula(v)
  406. if e != nil {
  407. br.Msg = "公式错误,请重新填写"
  408. return
  409. }
  410. //预先计算,判断公式是否正常
  411. ok, _ := models.CheckFormula2(edbInfoList, formulaMap, v, edbInfoIdBytes)
  412. if !ok {
  413. br.Msg = "生成计算指标失败,请使用正确的计算公式"
  414. return
  415. }
  416. }
  417. //处理同名指标
  418. {
  419. edbNameList, err := models.GetEdbInfoByName(req.EdbName)
  420. if err != nil {
  421. br.Msg = "保存失败"
  422. br.ErrMsg = "获取指标信息失败,Err:" + err.Error()
  423. return
  424. }
  425. if len(edbNameList) >= 2 {
  426. for _, v := range edbNameList {
  427. edbName := v.EdbName + "(" + v.SourceName + ")"
  428. err = models.ModifyEdbInfoNameSource(edbName, v.EdbInfoId)
  429. if err != nil {
  430. br.Msg = "保存失败"
  431. br.ErrMsg = "修改指标名称失败,Err:" + err.Error()
  432. return
  433. }
  434. }
  435. }
  436. }
  437. switch lang {
  438. case utils.EnLangVersion:
  439. edbInfo.EdbNameEn = req.EdbName
  440. edbInfo.UnitEn = req.Unit
  441. default:
  442. edbInfo.EdbName = req.EdbName
  443. edbInfo.Unit = req.Unit
  444. }
  445. edbInfo.Frequency = req.Frequency
  446. edbInfo.ClassifyId = req.ClassifyId
  447. edbInfo.CalculateFormula = req.CalculateFormula
  448. edbInfo.EmptyType = req.EmptyType
  449. edbInfo.MaxEmptyType = req.MaxEmptyType
  450. edbInfo.Extra = req.Extra
  451. err = models.EditPredictCalculate(edbInfo, calculateMappingList)
  452. if err != nil {
  453. br.Msg = "修改计算指标失败"
  454. br.Msg = "修改计算指标失败,Calculate Err:" + err.Error()
  455. return
  456. }
  457. // 开始添加预测指标
  458. latestDateStr, latestValue, err := models.AddPredictCalculateData(edbInfoList, edbInfoTag, edbInfo, edbInfo.EdbCode, req.CalculateFormula, edbInfoIdBytes)
  459. if err != nil {
  460. br.Msg = "生成计算指标失败"
  461. br.Msg = "生成计算指标失败,Calculate Err:" + err.Error()
  462. return
  463. }
  464. // 更新指标最大最小值
  465. err, errMsg := models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  466. if err != nil {
  467. br.Msg = errMsg
  468. br.ErrMsg = err.Error()
  469. return
  470. }
  471. resp := models.AddEdbInfoResp{
  472. EdbInfoId: edbInfo.EdbInfoId,
  473. UniqueCode: edbInfo.UniqueCode,
  474. }
  475. br.Ret = 200
  476. br.Success = true
  477. br.Msg = "保存成功"
  478. br.Data = resp
  479. br.IsAddLog = true
  480. }
  481. // CalculateBatchSave
  482. // @Title 累计值转月-同比值-同差等计算新增
  483. // @Description 累计值转月-同比值-同差等计算新增接口
  484. // @Param request body models.EdbInfoCalculateBatchSaveReq true "type json string"
  485. // @Success Ret=200 返回指标id
  486. // @router /batch/save [post]
  487. func (this *PredictCalculateController) CalculateBatchSave() {
  488. br := new(models.BaseResponse).Init()
  489. defer func() {
  490. this.Data["json"] = br
  491. this.ServeJSON()
  492. }()
  493. var req models.EdbInfoCalculateBatchSaveReq
  494. err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
  495. if err != nil {
  496. br.Msg = "参数解析异常!"
  497. br.ErrMsg = "参数解析失败,Err:" + err.Error()
  498. return
  499. }
  500. req.EdbName = strings.Trim(req.EdbName, " ")
  501. if req.EdbName == "" {
  502. br.Msg = "指标名称不能为空"
  503. return
  504. }
  505. if req.Frequency == "" {
  506. br.Msg = "频率不能为空"
  507. return
  508. }
  509. if req.Unit == "" {
  510. br.Msg = "单位不能为空"
  511. return
  512. }
  513. if req.ClassifyId <= 0 {
  514. br.Msg = "请选择分类"
  515. return
  516. }
  517. // 基础指标id
  518. fromEdbInfoId := req.FromEdbInfoId
  519. 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
  520. if fromEdbInfoId <= 0 && !utils.InArrayByInt(notNeedFromEdbSourceList, req.Source) {
  521. br.Msg = "请选择指标"
  522. return
  523. }
  524. //加入缓存机制,避免创建同一个名称的指标 start
  525. redisKey := fmt.Sprint("edb_lib:predict_calculate:batch:save:", req.Source, ":", req.EdbName)
  526. isExist := utils.Rc.IsExist(redisKey)
  527. if isExist {
  528. br.Msg = "指标正在处理,请勿重复提交"
  529. return
  530. } else {
  531. //设置3分钟缓存
  532. utils.Rc.SetNX(redisKey, 1, time.Second*300)
  533. defer func() {
  534. _ = utils.Rc.Delete(redisKey)
  535. }()
  536. }
  537. //加入缓存机制,避免创建同一个名称的指标 end
  538. // 根据指标名称和指标ID校验库中是否还存在其他同名指标
  539. existEdbName, err := logic.CheckExistByEdbNameAndEdbInfoId(1, req.EdbInfoId, req.EdbName, this.Lang)
  540. if err != nil {
  541. br.Msg = "判断指标名称是否存在失败"
  542. br.ErrMsg = "判断指标名称是否存在失败,Err:" + err.Error()
  543. return
  544. }
  545. if existEdbName {
  546. br.Msg = "指标名称已存在,请重新填写"
  547. br.ErrMsg = "指标名称已存在,请重新填写"
  548. return
  549. }
  550. //生成指标编码
  551. edbCode, err := utils.GenerateEdbCode(1, "2")
  552. if err != nil {
  553. br.Msg = "指标生成失败"
  554. br.ErrMsg = "指标编码生成失败,Err:" + err.Error()
  555. return
  556. }
  557. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  558. uniqueCode := utils.MD5(utils.DATA_PREFIX + "_" + timestamp)
  559. adminId := req.AdminId
  560. adminName := req.AdminName
  561. var sourName string
  562. var errMsg string
  563. var edbInfo *models.EdbInfo
  564. var latestDateStr string // 最近实际数据的日期
  565. var latestValue float64 // 最近实际数据的值
  566. var formulaInt int
  567. var nhccDate models.NhccDate // 拟合残差的日期
  568. switch req.Source {
  569. 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:
  570. if req.Formula == "" {
  571. br.Msg = "请填写N值"
  572. return
  573. }
  574. formulaInt, _ = strconv.Atoi(req.Formula)
  575. if formulaInt <= 0 {
  576. br.Msg = "N值输入错误,请重新输入"
  577. return
  578. }
  579. /*case utils.DATA_SOURCE_PREDICT_CALCULATE_ZJPJ:
  580. //直接拼接指标
  581. //校验时间格式
  582. _, err = time.ParseInLocation(utils.FormatDate, req.Formula, time.Local)
  583. if err != nil {
  584. br.Msg = "拼接日期有误,请重新输入"
  585. return
  586. }*/
  587. case utils.DATA_SOURCE_PREDICT_CALCULATE_NHCC: //拟合残差指标
  588. //指标校验
  589. if len(req.EdbInfoIdArr) != 2 {
  590. br.Msg = "选择的指标异常,请重新选择"
  591. return
  592. }
  593. fromEdbInfoId = req.EdbInfoIdArr[0].EdbInfoId
  594. //校验时间格式
  595. //数据格式:2022-11-01,2022-11-10
  596. timeList := strings.Split(req.Formula, ",")
  597. if len(timeList) != 2 {
  598. br.Msg = "选择时间有误,请重新输入"
  599. return
  600. }
  601. startDate, err := time.ParseInLocation(utils.FormatDate, timeList[0], time.Local)
  602. if err != nil {
  603. br.Msg = "开始日期有误,请重新输入"
  604. return
  605. }
  606. endDate, err := time.ParseInLocation(utils.FormatDate, timeList[1], time.Local)
  607. if err != nil {
  608. br.Msg = "结束日期有误,请重新输入"
  609. return
  610. }
  611. if utils.GetTimeSubDay(startDate, endDate) < 2 {
  612. br.Msg = "日期间隔不得少于两天"
  613. return
  614. }
  615. nhccDate.StartDate = startDate
  616. nhccDate.EndDate = endDate
  617. case utils.DATA_SOURCE_CALCULATE_ZSXY: // 指数修匀
  618. if req.Formula == "" {
  619. br.Msg = "请填写alpha值"
  620. return
  621. }
  622. a, e := strconv.ParseFloat(req.Formula, 64)
  623. if e != nil {
  624. br.Msg = "alpha值输入错误, 请重新输入"
  625. return
  626. }
  627. if a <= 0 || a >= 1 {
  628. br.Msg = "alpha值输入错误, 请重新输入"
  629. return
  630. }
  631. }
  632. if err != nil {
  633. br.Msg = "获取指标信息失败"
  634. br.ErrMsg = "获取指标信息失败:Err:" + err.Error()
  635. return
  636. }
  637. // 来源预测指标信息
  638. var fromEdbInfo *models.EdbInfo
  639. if fromEdbInfoId > 0 {
  640. fromEdbInfo, err = models.GetEdbInfoById(fromEdbInfoId)
  641. if err != nil {
  642. br.Msg = "获取指标信息失败"
  643. br.ErrMsg = "获取指标信息失败:Err:" + err.Error()
  644. return
  645. }
  646. if fromEdbInfo.EdbInfoType != 1 {
  647. br.Msg = "来源指标不是预测指标"
  648. br.ErrMsg = "来源指标不是预测指标"
  649. return
  650. }
  651. }
  652. var baseEdbInfoModel models.BasePredictEdbInfoInterface
  653. saveParams := models.BatchSaveCalculateBatchParams{
  654. Req: req,
  655. FromEdbInfo: fromEdbInfo,
  656. EdbCode: edbCode,
  657. UniqueCode: uniqueCode,
  658. SysUserId: req.AdminId,
  659. SysUserRealName: req.AdminName,
  660. Lang: this.Lang,
  661. }
  662. if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TBZ {
  663. if req.EdbInfoId <= 0 {
  664. if req.Frequency != fromEdbInfo.Frequency {
  665. br.Msg = "当前频度和原指标频度不一致"
  666. return
  667. }
  668. if req.Unit != "无" {
  669. br.Msg = "单位只允许为无,禁止选择其他单位"
  670. return
  671. }
  672. }
  673. }
  674. if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TCZ {
  675. if req.EdbInfoId <= 0 {
  676. if req.Frequency != fromEdbInfo.Frequency {
  677. br.Msg = "当前频度和原指标频度不一致"
  678. return
  679. }
  680. if req.Unit != fromEdbInfo.Unit {
  681. br.Msg = "当前单位和原指标单位不一致"
  682. return
  683. }
  684. }
  685. sourName = "预测同差"
  686. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateTcz(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, this.Lang)
  687. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS {
  688. sourName = "预测N数值移动平均计算"
  689. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateNszydpjjs(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, this.Lang)
  690. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_BP {
  691. sourName = "预测变频"
  692. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateBp(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, this.Lang)
  693. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_HBZ {
  694. checkDataList, tmpErr := models.GetPredictEdbDataListAllByStartDate(fromEdbInfo, 0, "")
  695. if tmpErr != nil && tmpErr.Error() != utils.ErrNoRow() {
  696. br.Msg = "判断环比值是否可计算失败"
  697. br.ErrMsg = "判断环比值是否可计算失败,Err:" + tmpErr.Error()
  698. return
  699. }
  700. for _, v := range checkDataList {
  701. if v.Value <= 0 {
  702. br.Msg = "原始数据中存在0或负数,该指标不能进行环比运算"
  703. 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"
  704. return
  705. }
  706. }
  707. sourName = "预测环比值"
  708. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateHbz(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, formulaInt, this.Lang)
  709. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_HCZ {
  710. sourName = "预测环差值"
  711. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateHcz(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, formulaInt, this.Lang)
  712. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_LJZZY {
  713. sourName = "预测累计值转月值"
  714. if fromEdbInfo.Frequency != "月度" {
  715. br.Msg = "请选择月度指标"
  716. return
  717. }
  718. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateLjzzy(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, this.Lang)
  719. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT {
  720. sourName = "预测时间移位"
  721. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateTimeShift(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, this.Lang)
  722. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_CJJX {
  723. sourName = "预测超季节性"
  724. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateCjjx(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, formulaInt, this.Lang)
  725. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_NHCC {
  726. sourName = "预测拟合残差"
  727. secondEdbInfoReq := req.EdbInfoIdArr[1]
  728. secondEdbInfo, tmpErr := models.GetEdbInfoById(secondEdbInfoReq.EdbInfoId)
  729. if tmpErr != nil {
  730. br.Msg = "获取因变量的指标信息失败"
  731. br.ErrMsg = "获取因变量的指标信息失败:Err:" + tmpErr.Error()
  732. return
  733. }
  734. if fromEdbInfo.EdbInfoId == secondEdbInfo.EdbInfoId {
  735. br.Msg = "两个指标不允许为同一个"
  736. br.ErrMsg = "两个指标不允许为同一个"
  737. return
  738. }
  739. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateNhcc(&req, fromEdbInfo, secondEdbInfo, edbCode, uniqueCode, nhccDate, adminId, adminName, this.Lang)
  740. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_JP {
  741. sourName = utils.DATA_SOURCE_NAME_PREDICT_CALCULATE_JP
  742. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateJp(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, this.Lang)
  743. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_NH {
  744. sourName = utils.DATA_SOURCE_NAME_PREDICT_CALCULATE_NH
  745. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateNh(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, this.Lang)
  746. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_KSZS {
  747. sourName = utils.DATA_SOURCE_NAME_PREDICT_CALCULATE_KSZS
  748. 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, this.Lang)
  749. } else {
  750. // 获取通用的数据源处理服务
  751. baseEdbInfoModel = models.GetBasePredictEdbInfoModel(req.Source)
  752. // 没有找到的话,那么就直接返回报错吧
  753. if baseEdbInfoModel == nil {
  754. br.Msg = "无效计算方式"
  755. br.ErrMsg = "无效计算方式,source:" + strconv.Itoa(req.Source)
  756. return
  757. }
  758. sourName = baseEdbInfoModel.GetSourceName()
  759. if req.EdbInfoId <= 0 {
  760. edbInfo, latestDateStr, latestValue, err, errMsg = baseEdbInfoModel.Add(saveParams)
  761. } else {
  762. edbInfo, err = models.GetEdbInfoById(req.EdbInfoId)
  763. if err != nil {
  764. if err.Error() == utils.ErrNoRow() {
  765. br.Msg = "指标已被删除,请刷新页面"
  766. br.ErrMsg = "指标已被删除,请刷新页面:Err:" + err.Error()
  767. return
  768. }
  769. br.Msg = "获取指标信息失败"
  770. br.ErrMsg = "获取指标信息失败:Err:" + err.Error()
  771. return
  772. }
  773. saveParams.EdbInfo = edbInfo
  774. latestDateStr, latestValue, err, errMsg = baseEdbInfoModel.Edit(saveParams)
  775. }
  776. }
  777. if err != nil {
  778. br.Msg = "生成" + sourName + "失败"
  779. if errMsg != `` {
  780. br.Msg = errMsg
  781. }
  782. br.Msg = "生成" + sourName + "失败 Err:" + err.Error()
  783. return
  784. }
  785. if edbInfo == nil {
  786. br.Msg = "生成" + sourName + "失败"
  787. br.ErrMsg = "生成" + sourName + "失败,edbInfo is nil"
  788. return
  789. }
  790. //处理同名指标
  791. {
  792. edbNameList, err := models.GetEdbInfoByName(req.EdbName)
  793. if err != nil {
  794. br.Msg = "保存失败"
  795. br.ErrMsg = "获取指标信息失败,Err:" + err.Error()
  796. return
  797. }
  798. if len(edbNameList) >= 2 {
  799. for _, v := range edbNameList {
  800. edbName := v.EdbName + "(" + v.SourceName + ")"
  801. err = models.ModifyEdbInfoNameSource(edbName, v.EdbInfoId)
  802. if err != nil {
  803. br.Msg = "保存失败"
  804. br.ErrMsg = "修改指标名称失败,Err:" + err.Error()
  805. return
  806. }
  807. }
  808. }
  809. }
  810. // 更新指标最大最小值
  811. err, errMsg = models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  812. if err != nil {
  813. br.Msg = errMsg
  814. br.ErrMsg = err.Error()
  815. return
  816. }
  817. resp := models.AddEdbInfoResp{
  818. EdbInfoId: edbInfo.EdbInfoId,
  819. UniqueCode: uniqueCode,
  820. }
  821. br.Ret = 200
  822. br.Success = true
  823. br.Msg = "保存成功"
  824. br.Data = resp
  825. br.IsAddLog = true
  826. }
  827. // Refresh
  828. // @Title 刷新计算指标接口
  829. // @Description 刷新计算指标接口
  830. // @Success 200 {object} models.RefreshEdbInfoReq
  831. // @router /refresh [post]
  832. func (this *PredictCalculateController) Refresh() {
  833. br := new(models.BaseResponse).Init()
  834. var cacheKey string
  835. defer func() {
  836. this.Data["json"] = br
  837. this.ServeJSON()
  838. }()
  839. var req models.RefreshEdbInfoReq
  840. err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
  841. if err != nil {
  842. br.Msg = "参数解析异常!"
  843. br.ErrMsg = "参数解析失败,Err:" + err.Error()
  844. return
  845. }
  846. if req.EdbCode == "" {
  847. br.Msg = "请输入指标编码!"
  848. br.ErrMsg = "请输入指标编码,指标编码为空"
  849. return
  850. }
  851. if req.EdbInfoId <= 0 {
  852. br.Msg = "请输入指标ID!"
  853. br.ErrMsg = "请输入指标ID"
  854. return
  855. }
  856. edbInfo, err := models.GetEdbInfoById(req.EdbInfoId)
  857. if err != nil {
  858. br.Msg = "指标不存在!"
  859. br.ErrMsg = "指标不存在"
  860. return
  861. }
  862. cacheKey = utils.CACHE_EDB_DATA_REFRESH + strconv.Itoa(edbInfo.Source) + "_" + req.EdbCode
  863. if utils.Rc.IsExist(cacheKey) {
  864. br.Ret = 501
  865. br.Success = true
  866. br.Msg = "系统处理中,请稍后重试"
  867. br.IsSendEmail = false
  868. return
  869. }
  870. utils.Rc.SetNX(cacheKey, 1, 1*time.Minute)
  871. defer func() {
  872. _ = utils.Rc.Delete(cacheKey)
  873. }()
  874. startDate := req.StartDate
  875. var errMsg string
  876. endDate := time.Now().Format(utils.FormatDate)
  877. edbInfoId := edbInfo.EdbInfoId
  878. source := edbInfo.Source
  879. var latestDateStr string // 最近实际数据的日期
  880. var latestValue float64 // 最近实际数据的值
  881. var baseEdbInfoModel models.BasePredictEdbInfoInterface
  882. refreshParams := models.RefreshParams{
  883. EdbInfo: edbInfo,
  884. }
  885. switch source {
  886. case utils.DATA_SOURCE_PREDICT_CALCULATE_TBZ: //刷新同比值
  887. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  888. if err != nil {
  889. errMsg = "GetEdbInfoCalculateTbzDetail Err:" + err.Error()
  890. break
  891. }
  892. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  893. if err != nil {
  894. errMsg = "GetEdbInfoById Err:" + err.Error()
  895. break
  896. }
  897. refreshParams.FromEdbInfo = fromEdbInfo
  898. refreshParams.StartDate = edbInfo.StartDate
  899. }
  900. switch source {
  901. case utils.DATA_SOURCE_PREDICT_CALCULATE:
  902. //startDate = edbInfo.StartDate
  903. //sTime, err := time.ParseInLocation(utils.FormatDate, edbInfo.EndDate, time.Local)
  904. //if err != nil {
  905. // return
  906. //}
  907. //startDate = sTime.Format(utils.FormatDate)
  908. startDate = ""
  909. var edbInfoIdBytes []string
  910. calculateMap, err := models.GetEdbInfoCalculateDetailList(edbInfo.EdbInfoId)
  911. if err != nil {
  912. errMsg = "GetEdbInfoCalculateDetail Err:" + err.Error()
  913. break
  914. }
  915. var formulaStr string
  916. edbInfoList := make([]*models.EdbInfo, 0)
  917. edbInfoTag := make(map[string]int)
  918. for _, v := range calculateMap {
  919. edbInfoTag[v.FromTag] = v.FromEdbInfoId
  920. formulaStr += v.FromTag + ","
  921. edbInfoIdBytes = append(edbInfoIdBytes, v.FromTag)
  922. edbInfo, _ := models.GetEdbInfoById(v.FromEdbInfoId)
  923. edbInfoList = append(edbInfoList, edbInfo)
  924. }
  925. latestDateStr, latestValue, err = models.RefreshAllPredictCalculate(edbInfoList, edbInfoTag, edbInfo.EdbInfoId, source, edbInfo.SubSource, edbInfo.EdbCode, edbInfo.CalculateFormula, startDate, edbInfoIdBytes, edbInfo.EmptyType, edbInfo.MaxEmptyType, edbInfo.Extra)
  926. if err != nil && err.Error() != utils.ErrNoRow() {
  927. errMsg = "RefreshCalculate Err:" + err.Error()
  928. break
  929. }
  930. case utils.DATA_SOURCE_PREDICT_CALCULATE_TCZ: //同差值
  931. calculateTcz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  932. if err != nil {
  933. errMsg = "GetEdbInfoCalculateTczDetail Err:" + err.Error()
  934. break
  935. }
  936. fromEdbInfo, err := models.GetEdbInfoById(calculateTcz.FromEdbInfoId)
  937. if err != nil {
  938. errMsg = "GetEdbInfoById Err:" + err.Error()
  939. break
  940. }
  941. startDate = edbInfo.StartDate
  942. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateTcz(edbInfoId, source, edbInfo.SubSource, fromEdbInfo, calculateTcz.EdbCode, startDate)
  943. if err != nil && err.Error() != utils.ErrNoRow() {
  944. errMsg = "RefreshCalculateTcz Err:" + err.Error()
  945. break
  946. }
  947. case utils.DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS: //N数值移动平均计算
  948. calculateInfo, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  949. if err != nil {
  950. errMsg = "GetEdbInfoCalculateTczDetail Err:" + err.Error()
  951. break
  952. }
  953. fromEdbInfo, err := models.GetEdbInfoById(calculateInfo.FromEdbInfoId)
  954. if err != nil {
  955. errMsg = "GetEdbInfoById Err:" + err.Error()
  956. break
  957. }
  958. var formulaInt int
  959. formulaInt, _ = strconv.Atoi(calculateInfo.CalculateFormula)
  960. if formulaInt <= 0 {
  961. errMsg = "N值输入错误,请重新输入"
  962. break
  963. }
  964. startDate = edbInfo.StartDate
  965. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateNszydpjjs(edbInfoId, source, edbInfo.SubSource, formulaInt, fromEdbInfo, calculateInfo.EdbCode, startDate)
  966. if err != nil && err.Error() != utils.ErrNoRow() {
  967. errMsg = "RefreshAllPredictCalculateNszydpjjs Err:" + err.Error()
  968. break
  969. }
  970. case utils.DATA_SOURCE_PREDICT_CALCULATE_BP: //刷新变频
  971. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  972. if err != nil {
  973. errMsg = "GetEdbInfoCalculateTbzDetail Err:" + err.Error()
  974. break
  975. }
  976. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  977. if err != nil {
  978. errMsg = "GetEdbInfoById Err:" + err.Error()
  979. break
  980. }
  981. endDate = time.Now().Format(utils.FormatDate)
  982. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateBp(edbInfoId, source, edbInfo.SubSource, fromEdbInfo, calculateTbz.EdbCode, startDate, endDate)
  983. if err != nil && err.Error() != utils.ErrNoRow() {
  984. errMsg = "RefreshAllPredictCalculateBp Err:" + err.Error()
  985. break
  986. }
  987. case utils.DATA_SOURCE_PREDICT_CALCULATE_HBZ: //刷新环比值
  988. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  989. if err != nil {
  990. errMsg = "GetEdbInfoCalculateHbzDetail Err:" + err.Error()
  991. break
  992. }
  993. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  994. if err != nil {
  995. errMsg = "GetEdbInfoById Err:" + err.Error()
  996. break
  997. }
  998. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  999. endDate = time.Now().Format(utils.FormatDate)
  1000. formulaInt, _ := strconv.Atoi(edbInfo.CalculateFormula)
  1001. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateHbz(edbInfoId, source, edbInfo.SubSource, fromEdbInfo, calculateTbz.EdbCode, startDate, endDate, formulaInt)
  1002. if err != nil && err.Error() != utils.ErrNoRow() {
  1003. errMsg = "RefreshAllPredictCalculateHbz Err:" + err.Error()
  1004. break
  1005. }
  1006. case utils.DATA_SOURCE_PREDICT_CALCULATE_HCZ: //刷新环差值
  1007. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  1008. if err != nil {
  1009. errMsg = "GetEdbInfoCalculateHczDetail Err:" + err.Error()
  1010. break
  1011. }
  1012. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  1013. if err != nil {
  1014. errMsg = "GetEdbInfoById Err:" + err.Error()
  1015. break
  1016. }
  1017. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  1018. endDate = time.Now().Format(utils.FormatDate)
  1019. formulaInt, _ := strconv.Atoi(edbInfo.CalculateFormula)
  1020. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateHcz(edbInfoId, source, edbInfo.SubSource, fromEdbInfo, calculateTbz.EdbCode, startDate, endDate, formulaInt)
  1021. if err != nil && err.Error() != utils.ErrNoRow() {
  1022. errMsg = "RefreshAllPredictCalculateHcz Err:" + err.Error()
  1023. break
  1024. }
  1025. case utils.DATA_SOURCE_PREDICT_CALCULATE_LJZZY: //刷新累计值转月值
  1026. calculateLjzzy, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  1027. if err != nil {
  1028. errMsg = "GetEdbInfoCalculateLjzzyDetail Err:" + err.Error()
  1029. break
  1030. }
  1031. fromEdbInfo, err := models.GetEdbInfoById(calculateLjzzy.FromEdbInfoId)
  1032. if err != nil {
  1033. errMsg = "GetEdbInfoById Err:" + err.Error()
  1034. break
  1035. }
  1036. endDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  1037. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  1038. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateLjzzy(edbInfoId, source, edbInfo.SubSource, fromEdbInfo, calculateLjzzy.EdbCode, startDate, endDate)
  1039. if err != nil && err.Error() != utils.ErrNoRow() {
  1040. errMsg = "RefreshAllPredictCalculateLjzzy Err:" + err.Error()
  1041. break
  1042. }
  1043. case utils.DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT:
  1044. calculate, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  1045. if err != nil {
  1046. errMsg = "GetEdbInfoCalculateTbzDetail Err:" + err.Error()
  1047. break
  1048. }
  1049. fromEdbInfo, err := models.GetEdbInfoById(calculate.FromEdbInfoId)
  1050. if err != nil {
  1051. errMsg = "GetEdbInfoById Err:" + err.Error()
  1052. break
  1053. }
  1054. //startDate = edbInfo.StartDate
  1055. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  1056. endDate = time.Now().Format(utils.FormatDate)
  1057. formulaInt, _ := strconv.Atoi(calculate.CalculateFormula)
  1058. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateTimeShift(edbInfoId, source, edbInfo.SubSource, formulaInt, calculate.MoveType, fromEdbInfo, calculate.EdbCode, startDate, endDate, calculate.MoveFrequency)
  1059. if err != nil && err.Error() != utils.ErrNoRow() {
  1060. errMsg = "RefreshAllCalculateTimeShift Err:" + err.Error()
  1061. }
  1062. case utils.DATA_SOURCE_PREDICT_CALCULATE_LJZTBPJ: //刷新累计值同比拼接
  1063. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateLjztbpj(edbInfo)
  1064. if err != nil && err.Error() != utils.ErrNoRow() {
  1065. errMsg = "RefreshAllPredictCalculateLjztbpj Err:" + err.Error()
  1066. break
  1067. }
  1068. case utils.DATA_SOURCE_PREDICT_CALCULATE_ZJPJ: //刷新直接拼接
  1069. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateZjpj(edbInfo)
  1070. if err != nil && err.Error() != utils.ErrNoRow() {
  1071. errMsg = "RefreshAllPredictCalculateZjpj Err:" + err.Error()
  1072. break
  1073. }
  1074. case utils.DATA_SOURCE_PREDICT_CALCULATE_CJJX: //超季节性
  1075. calculateCjjx, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  1076. if err != nil {
  1077. errMsg = "GetEdbInfoCalculateNszydpjjsDetail Err:" + err.Error()
  1078. break
  1079. }
  1080. fromEdbInfo, err := models.GetEdbInfoById(calculateCjjx.FromEdbInfoId)
  1081. if err != nil {
  1082. errMsg = "GetEdbInfoById Err:" + err.Error()
  1083. break
  1084. }
  1085. formulaInt, _ := strconv.Atoi(edbInfo.CalculateFormula)
  1086. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  1087. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateCjjx(edbInfoId, edbInfo.Source, edbInfo.SubSource, fromEdbInfo, calculateCjjx.EdbCode, startDate, "", edbInfo.Calendar, formulaInt)
  1088. if err != nil && err.Error() != utils.ErrNoRow() {
  1089. errMsg = "RefreshAllPredictCalculateCjjx Err:" + err.Error()
  1090. break
  1091. }
  1092. case utils.DATA_SOURCE_PREDICT_CALCULATE_NHCC: //nhcc
  1093. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateNhcc(edbInfo)
  1094. if err != nil && err.Error() != utils.ErrNoRow() {
  1095. errMsg = "RefreshAllPredictCalculateNhcc Err:" + err.Error()
  1096. break
  1097. }
  1098. case utils.DATA_SOURCE_PREDICT_CALCULATE_JP: //降频
  1099. calculateInfo, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  1100. if err != nil {
  1101. errMsg = "GetEdbInfoCalculateTczDetail Err:" + err.Error()
  1102. break
  1103. }
  1104. fromEdbInfo, err := models.GetEdbInfoById(calculateInfo.FromEdbInfoId)
  1105. if err != nil {
  1106. errMsg = "GetEdbInfoById Err:" + err.Error()
  1107. break
  1108. }
  1109. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateJp(edbInfoId, source, edbInfo.SubSource, fromEdbInfo, calculateInfo.EdbCode, edbInfo.Frequency, edbInfo.CalculateFormula)
  1110. if err != nil && err.Error() != utils.ErrNoRow() {
  1111. errMsg = "RefreshAllPredictCalculateJp Err:" + err.Error()
  1112. break
  1113. }
  1114. case utils.DATA_SOURCE_PREDICT_CALCULATE_NH: //年化
  1115. calculateInfo, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  1116. if err != nil {
  1117. errMsg = "GetEdbInfoCalculateTczDetail Err:" + err.Error()
  1118. break
  1119. }
  1120. fromEdbInfo, err := models.GetEdbInfoById(calculateInfo.FromEdbInfoId)
  1121. if err != nil {
  1122. errMsg = "GetEdbInfoById Err:" + err.Error()
  1123. break
  1124. }
  1125. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateNh(edbInfoId, source, edbInfo.SubSource, fromEdbInfo, calculateInfo.EdbCode, edbInfo.Frequency, edbInfo.CalculateFormula)
  1126. if err != nil && err.Error() != utils.ErrNoRow() {
  1127. errMsg = "RefreshAllPredictCalculateNh Err:" + err.Error()
  1128. break
  1129. }
  1130. case utils.DATA_SOURCE_PREDICT_CALCULATE_KSZS: //扩散指数
  1131. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateKszs(edbInfo)
  1132. if err != nil && err.Error() != utils.ErrNoRow() {
  1133. errMsg = "RefreshAllPredictCalculateKszs Err:" + err.Error()
  1134. break
  1135. }
  1136. default:
  1137. // 获取通用的数据源处理服务
  1138. baseEdbInfoModel = models.GetBasePredictEdbInfoModel(source)
  1139. // 没有找到的话,那么就直接返回报错吧
  1140. if baseEdbInfoModel == nil {
  1141. br.Msg = "来源异常,请联系相关开发!"
  1142. br.ErrMsg = "来源异常,请联系相关开发"
  1143. return
  1144. }
  1145. latestDateStr, latestValue, err, errMsg = baseEdbInfoModel.Refresh(refreshParams)
  1146. }
  1147. if errMsg != `` {
  1148. br.Msg = "刷新指标失败!"
  1149. br.ErrMsg = "刷新指标失败,err:" + errMsg
  1150. return
  1151. }
  1152. // 更新指标最大最小值
  1153. err, errMsg = models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  1154. if err != nil {
  1155. br.Msg = errMsg
  1156. br.ErrMsg = err.Error()
  1157. return
  1158. }
  1159. // 更新ES
  1160. go logic.UpdateEs(edbInfo.EdbInfoId)
  1161. br.Ret = 200
  1162. br.Success = true
  1163. br.Msg = "获取成功"
  1164. }
  1165. // CalculateComputeCorrelation
  1166. // @Title 拟合残差计算相关性接口
  1167. // @Description 拟合残差计算相关性接口
  1168. // @Param request body models.EdbInfoCalculateBatchSaveReq true "type json string"
  1169. // @Success Ret=200 返回指标id
  1170. // @router /compute_correlation [post]
  1171. func (this *PredictCalculateController) CalculateComputeCorrelation() {
  1172. br := new(models.BaseResponse).Init()
  1173. defer func() {
  1174. this.Data["json"] = br
  1175. this.ServeJSON()
  1176. }()
  1177. var req models.EdbInfoCalculateBatchSaveReq
  1178. err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
  1179. if err != nil {
  1180. br.Msg = "参数解析异常!"
  1181. br.ErrMsg = "参数解析失败,Err:" + err.Error()
  1182. return
  1183. }
  1184. if len(req.EdbInfoIdArr) != 2 {
  1185. br.Msg = "选择的指标异常,请重新选择"
  1186. return
  1187. }
  1188. //校验时间格式
  1189. //数据格式:2022-11-01,2022-11-10
  1190. timeList := strings.Split(req.Formula, ",")
  1191. if len(timeList) != 2 {
  1192. br.Msg = "选择时间有误,请重新输入"
  1193. return
  1194. }
  1195. startDate, err := time.ParseInLocation(utils.FormatDate, timeList[0], time.Local)
  1196. if err != nil {
  1197. br.Msg = "开始日期有误,请重新输入"
  1198. return
  1199. }
  1200. endDate, err := time.ParseInLocation(utils.FormatDate, timeList[1], time.Local)
  1201. if err != nil {
  1202. br.Msg = "结束日期有误,请重新输入"
  1203. return
  1204. }
  1205. if utils.GetTimeSubDay(startDate, endDate) < 2 {
  1206. br.Msg = "日期间隔不得少于两天"
  1207. return
  1208. }
  1209. var nhccDate models.NhccDate // 拟合残差的日期
  1210. nhccDate.StartDate = startDate
  1211. nhccDate.EndDate = endDate
  1212. // 来源预测指标信息
  1213. fromEdbInfoId := req.EdbInfoIdArr[0].EdbInfoId
  1214. if fromEdbInfoId <= 0 {
  1215. br.Msg = "请选择指标"
  1216. return
  1217. }
  1218. // 来源指标(自变量指标)
  1219. fromEdbInfo, err := models.GetEdbInfoById(fromEdbInfoId)
  1220. if err != nil {
  1221. br.Msg = "获取指标信息失败"
  1222. br.ErrMsg = "获取指标信息失败:Err:" + err.Error()
  1223. return
  1224. }
  1225. if fromEdbInfo.EdbInfoType != 1 {
  1226. br.Msg = "来源指标不是预测指标"
  1227. br.ErrMsg = "来源指标不是预测指标"
  1228. return
  1229. }
  1230. // 因变量指标
  1231. secondEdbInfoReq := req.EdbInfoIdArr[1]
  1232. secondEdbInfo, tmpErr := models.GetEdbInfoById(secondEdbInfoReq.EdbInfoId)
  1233. if tmpErr != nil {
  1234. br.Msg = "获取因变量的指标信息失败"
  1235. br.ErrMsg = "获取因变量的指标信息失败:Err:" + tmpErr.Error()
  1236. return
  1237. }
  1238. if fromEdbInfo.EdbInfoId == secondEdbInfo.EdbInfoId {
  1239. br.Msg = "两个指标不允许为同一个"
  1240. br.ErrMsg = "两个指标不允许为同一个"
  1241. return
  1242. }
  1243. rVal, err := models.CalculatePredictComputeCorrelation(&req, fromEdbInfo, secondEdbInfo, nhccDate)
  1244. if err != nil {
  1245. br.Msg = "计算失败"
  1246. br.ErrMsg = "计算失败,ERR:" + err.Error()
  1247. return
  1248. }
  1249. br.Ret = 200
  1250. br.Success = true
  1251. br.Msg = "计算成功"
  1252. br.Data = rVal
  1253. br.IsAddLog = true
  1254. }