base_from_predict_calculate.go 33 KB

1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586878889909192939495969798991001011021031041051061071081091101111121131141151161171181191201211221231241251261271281291301311321331341351361371381391401411421431441451461471481491501511521531541551561571581591601611621631641651661671681691701711721731741751761771781791801811821831841851861871881891901911921931941951961971981992002012022032042052062072082092102112122132142152162172182192202212222232242252262272282292302312322332342352362372382392402412422432442452462472482492502512522532542552562572582592602612622632642652662672682692702712722732742752762772782792802812822832842852862872882892902912922932942952962972982993003013023033043053063073083093103113123133143153163173183193203213223233243253263273283293303313323333343353363373383393403413423433443453463473483493503513523533543553563573583593603613623633643653663673683693703713723733743753763773783793803813823833843853863873883893903913923933943953963973983994004014024034044054064074084094104114124134144154164174184194204214224234244254264274284294304314324334344354364374384394404414424434444454464474484494504514524534544554564574584594604614624634644654664674684694704714724734744754764774784794804814824834844854864874884894904914924934944954964974984995005015025035045055065075085095105115125135145155165175185195205215225235245255265275285295305315325335345355365375385395405415425435445455465475485495505515525535545555565575585595605615625635645655665675685695705715725735745755765775785795805815825835845855865875885895905915925935945955965975985996006016026036046056066076086096106116126136146156166176186196206216226236246256266276286296306316326336346356366376386396406416426436446456466476486496506516526536546556566576586596606616626636646656666676686696706716726736746756766776786796806816826836846856866876886896906916926936946956966976986997007017027037047057067077087097107117127137147157167177187197207217227237247257267277287297307317327337347357367377387397407417427437447457467477487497507517527537547557567577587597607617627637647657667677687697707717727737747757767777787797807817827837847857867877887897907917927937947957967977987998008018028038048058068078088098108118128138148158168178188198208218228238248258268278288298308318328338348358368378388398408418428438448458468478488498508518528538548558568578588598608618628638648658668678688698708718728738748758768778788798808818828838848858868878888898908918928938948958968978988999009019029039049059069079089099109119129139149159169179189199209219229239249259269279289299309319329339349359369379389399409419429439449459469479489499509519529539549559569579589599609619629639649659669679689699709719729739749759769779789799809819829839849859869879889899909919929939949959969979989991000100110021003100410051006100710081009101010111012101310141015101610171018101910201021102210231024102510261027102810291030103110321033103410351036103710381039104010411042104310441045104610471048104910501051105210531054105510561057105810591060106110621063
  1. package controllers
  2. import (
  3. "encoding/json"
  4. "fmt"
  5. "hongze/hongze_edb_lib/logic"
  6. "hongze/hongze_edb_lib/models"
  7. "hongze/hongze_edb_lib/services"
  8. "hongze/hongze_edb_lib/utils"
  9. "strconv"
  10. "strings"
  11. "time"
  12. )
  13. // PredictCalculateController 预测计算指标
  14. type PredictCalculateController struct {
  15. BaseAuthController
  16. }
  17. // Save
  18. // @Title 新增/编辑预测指标运算接口
  19. // @Description 新增预测指标运算接口
  20. // @Success 200 {object} models.EdbInfoCalculateSaveReq
  21. // @router /save [post]
  22. func (this *PredictCalculateController) Save() {
  23. br := new(models.BaseResponse).Init()
  24. defer func() {
  25. this.Data["json"] = br
  26. this.ServeJSON()
  27. }()
  28. var req models.EdbInfoCalculateSaveReq
  29. err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
  30. if err != nil {
  31. br.Msg = "参数解析异常!"
  32. br.ErrMsg = "参数解析失败,Err:" + err.Error()
  33. return
  34. }
  35. if req.EdbInfoId <= 0 {
  36. addPredictCalculate(br, req)
  37. } else {
  38. editPredictCalculate(br, req)
  39. }
  40. }
  41. // AddPredictCalculate 添加预测指标运算
  42. func addPredictCalculate(br *models.BaseResponse, req models.EdbInfoCalculateSaveReq) {
  43. req.EdbName = strings.Trim(req.EdbName, " ")
  44. if req.EdbName == "" {
  45. br.Msg = "指标名称不能为空"
  46. return
  47. }
  48. if req.Frequency == "" {
  49. br.Msg = "频率不能为空"
  50. return
  51. }
  52. if req.Unit == "" {
  53. br.Msg = "单位不能为空"
  54. return
  55. }
  56. if req.ClassifyId <= 0 {
  57. br.Msg = "请选择分类"
  58. return
  59. }
  60. if len(req.EdbInfoIdArr) <= 0 {
  61. br.Msg = "请选择指标"
  62. return
  63. }
  64. if req.CalculateFormula == "" {
  65. br.Msg = "请填写指标"
  66. return
  67. }
  68. //加入缓存机制,避免创建同一个名称的指标 start
  69. redisKey := fmt.Sprint("predict_edb_info:calculate:batch:save:", utils.DATA_SOURCE_PREDICT_CALCULATE, ":", req.EdbName)
  70. isExist := utils.Rc.IsExist(redisKey)
  71. if isExist {
  72. br.Msg = "指标正在处理,请勿重复提交"
  73. return
  74. } else {
  75. //设置3分钟缓存
  76. utils.Rc.SetNX(redisKey, 1, time.Second*300)
  77. defer func() {
  78. _ = utils.Rc.Delete(redisKey)
  79. }()
  80. }
  81. calculateFormula := req.CalculateFormula
  82. calculateFormula = strings.Replace(calculateFormula, "(", "(", -1)
  83. calculateFormula = strings.Replace(calculateFormula, ")", ")", -1)
  84. calculateFormula = strings.Replace(calculateFormula, ",", ",", -1)
  85. calculateFormula = strings.Replace(calculateFormula, "。", ".", -1)
  86. if strings.Contains(req.CalculateFormula, "%") {
  87. calculateFormula = strings.Replace(calculateFormula, "%", "*0.01", -1)
  88. }
  89. req.CalculateFormula = calculateFormula
  90. //检验公式
  91. var formulaStr string
  92. var edbInfoIdBytes []string
  93. for _, v := range req.EdbInfoIdArr {
  94. formulaStr += v.FromTag + ","
  95. edbInfoIdBytes = append(edbInfoIdBytes, v.FromTag)
  96. }
  97. formulaMap := services.CheckFormula(req.CalculateFormula)
  98. for _, v := range formulaMap {
  99. if !strings.Contains(formulaStr, v) {
  100. br.Msg = "公式错误,请重新填写"
  101. return
  102. }
  103. }
  104. // 判断指标名称是否存在
  105. {
  106. var condition string
  107. var pars []interface{}
  108. // 指标类型,0:普通指标,1:预测指标
  109. condition += " AND edb_info_type=? AND edb_name=? "
  110. pars = append(pars, 1, req.EdbName)
  111. count, err := models.GetEdbInfoCountByCondition(condition, pars)
  112. if err != nil {
  113. br.Msg = "判断指标名称是否存在失败"
  114. br.ErrMsg = "判断指标名称是否存在失败,Err:" + err.Error()
  115. return
  116. }
  117. if count > 0 {
  118. br.Msg = "指标名称已存在,请重新填写"
  119. br.ErrMsg = "指标名称已存在,请重新填写"
  120. return
  121. }
  122. }
  123. // 关联指标信息
  124. edbInfoList := make([]*models.EdbInfo, 0)
  125. calculateMappingList := make([]*models.EdbInfoCalculateMapping, 0)
  126. for k, v := range req.EdbInfoIdArr {
  127. fromEdbInfo, err := models.GetEdbInfoById(v.EdbInfoId)
  128. if err != nil {
  129. if err.Error() == utils.ErrNoRow() {
  130. br.Msg = "生成计算指标失败"
  131. br.Msg = "指标 " + strconv.Itoa(v.EdbInfoId) + " 不存在"
  132. return
  133. }
  134. br.Msg = "生成计算指标失败"
  135. br.Msg = "获取指标失败:Err:" + err.Error()
  136. return
  137. }
  138. edbInfoList = append(edbInfoList, fromEdbInfo)
  139. //关联关系表
  140. {
  141. calculateMappingItem := &models.EdbInfoCalculateMapping{
  142. CreateTime: time.Now(),
  143. ModifyTime: time.Now(),
  144. Sort: k + 1,
  145. //EdbCode: edbCode,
  146. //EdbInfoId: int(edbInfoId),
  147. FromEdbInfoId: fromEdbInfo.EdbInfoId,
  148. FromEdbCode: fromEdbInfo.EdbCode,
  149. FromEdbName: fromEdbInfo.EdbName,
  150. FromSource: fromEdbInfo.Source,
  151. FromSourceName: fromEdbInfo.SourceName,
  152. FromTag: v.FromTag,
  153. Source: utils.DATA_SOURCE_PREDICT_CALCULATE,
  154. SourceName: "预测指标运算",
  155. }
  156. calculateMappingList = append(calculateMappingList, calculateMappingItem)
  157. }
  158. }
  159. //预先计算,判断公式是否正常
  160. ok, _ := models.CheckFormula2(edbInfoList, formulaMap, calculateFormula, edbInfoIdBytes)
  161. if !ok {
  162. br.Msg = "生成计算指标失败,请使用正确的计算公式"
  163. return
  164. }
  165. // 指标入库
  166. randStr := utils.GetRandDigit(4)
  167. edbCode := `C2` + time.Now().Format("060102") + randStr
  168. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  169. uniqueCode := utils.MD5(utils.DATA_PREFIX + "_" + timestamp)
  170. edbInfo := &models.EdbInfo{
  171. EdbInfoType: 1,
  172. Source: utils.DATA_SOURCE_PREDICT_CALCULATE,
  173. SourceName: "预测指标运算",
  174. EdbCode: edbCode,
  175. EdbName: req.EdbName,
  176. EdbNameSource: req.EdbName,
  177. Frequency: req.Frequency,
  178. Unit: req.Unit,
  179. ClassifyId: req.ClassifyId,
  180. SysUserId: req.AdminId,
  181. SysUserRealName: req.AdminName,
  182. CreateTime: time.Now(),
  183. ModifyTime: time.Now(),
  184. UniqueCode: uniqueCode,
  185. CalculateFormula: req.CalculateFormula,
  186. EdbType: 2,
  187. }
  188. edbInfoId, err := models.AddEdbInfo(edbInfo)
  189. if err != nil {
  190. br.Msg = "生成计算指标失败"
  191. br.Msg = "生成计算指标失败,AddEdbInfo Err:" + err.Error()
  192. return
  193. }
  194. edbInfo.EdbInfoId = int(edbInfoId)
  195. //处理同名指标
  196. {
  197. edbNameList, err := models.GetEdbInfoByName(req.EdbName)
  198. if err != nil {
  199. br.Msg = "保存失败"
  200. br.ErrMsg = "获取指标信息失败,Err:" + err.Error()
  201. return
  202. }
  203. if len(edbNameList) >= 2 {
  204. for _, v := range edbNameList {
  205. edbName := v.EdbName + "(" + v.SourceName + ")"
  206. err = models.ModifyEdbInfoNameSource(edbName, v.EdbInfoId)
  207. if err != nil {
  208. br.Msg = "保存失败"
  209. br.ErrMsg = "修改指标名称失败,Err:" + err.Error()
  210. return
  211. }
  212. }
  213. }
  214. }
  215. //关联关系表入库
  216. {
  217. if len(calculateMappingList) > 0 {
  218. for k, v := range calculateMappingList {
  219. v.EdbCode = edbInfo.EdbCode
  220. v.EdbInfoId = edbInfo.EdbInfoId
  221. calculateMappingList[k] = v
  222. }
  223. go models.AddEdbInfoCalculateMappingMulti(calculateMappingList)
  224. }
  225. }
  226. // 开始添加预测指标
  227. latestDateStr, latestValue, err := models.AddPredictCalculateData(edbInfoList, edbInfo, edbCode, req.CalculateFormula, edbInfoIdBytes)
  228. if err != nil {
  229. br.Msg = "生成计算指标失败"
  230. br.Msg = "生成计算指标失败,Calculate Err:" + err.Error()
  231. return
  232. }
  233. // 更新指标最大最小值
  234. err, errMsg := models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  235. if err != nil {
  236. br.Msg = errMsg
  237. br.ErrMsg = err.Error()
  238. return
  239. }
  240. resp := models.AddEdbInfoResp{
  241. EdbInfoId: int(edbInfoId),
  242. UniqueCode: uniqueCode,
  243. }
  244. br.Ret = 200
  245. br.Success = true
  246. br.Msg = "保存成功"
  247. br.Data = resp
  248. br.IsAddLog = true
  249. }
  250. // editPredictCalculate 编辑预测指标运算
  251. func editPredictCalculate(br *models.BaseResponse, req models.EdbInfoCalculateSaveReq) {
  252. req.EdbName = strings.Trim(req.EdbName, " ")
  253. if req.EdbName == "" {
  254. br.Msg = "指标名称不能为空"
  255. return
  256. }
  257. if req.Frequency == "" {
  258. br.Msg = "频率不能为空"
  259. return
  260. }
  261. if req.Unit == "" {
  262. br.Msg = "单位不能为空"
  263. return
  264. }
  265. if req.ClassifyId <= 0 {
  266. br.Msg = "请选择分类"
  267. return
  268. }
  269. if len(req.EdbInfoIdArr) <= 0 {
  270. br.Msg = "请选择指标"
  271. return
  272. }
  273. if req.CalculateFormula == "" {
  274. br.Msg = "请填写指标"
  275. return
  276. }
  277. //加入缓存机制,避免创建同一个名称的指标 start
  278. redisKey := fmt.Sprint("predict_edb_info:calculate:batch:save:", utils.DATA_SOURCE_PREDICT_CALCULATE, ":", req.EdbName)
  279. isExist := utils.Rc.IsExist(redisKey)
  280. if isExist {
  281. br.Msg = "指标正在处理,请勿重复提交"
  282. return
  283. } else {
  284. //设置3分钟缓存
  285. utils.Rc.SetNX(redisKey, 1, time.Second*300)
  286. defer func() {
  287. _ = utils.Rc.Delete(redisKey)
  288. }()
  289. }
  290. calculateFormula := req.CalculateFormula
  291. calculateFormula = strings.Replace(calculateFormula, "(", "(", -1)
  292. calculateFormula = strings.Replace(calculateFormula, ")", ")", -1)
  293. calculateFormula = strings.Replace(calculateFormula, ",", ",", -1)
  294. calculateFormula = strings.Replace(calculateFormula, "。", ".", -1)
  295. if strings.Contains(req.CalculateFormula, "%") {
  296. calculateFormula = strings.Replace(calculateFormula, "%", "*0.01", -1)
  297. }
  298. req.CalculateFormula = calculateFormula
  299. //检验公式
  300. var formulaStr string
  301. var edbInfoIdBytes []string
  302. for _, v := range req.EdbInfoIdArr {
  303. formulaStr += v.FromTag + ","
  304. edbInfoIdBytes = append(edbInfoIdBytes, v.FromTag)
  305. }
  306. formulaMap := services.CheckFormula(req.CalculateFormula)
  307. for _, v := range formulaMap {
  308. if !strings.Contains(formulaStr, v) {
  309. br.Msg = "公式错误,请重新填写"
  310. return
  311. }
  312. }
  313. // 获取计算指标信息
  314. edbInfo, err := models.GetEdbInfoById(req.EdbInfoId)
  315. if err != nil {
  316. br.Msg = "获取指标信息失败"
  317. br.ErrMsg = "获取指标信息失败,Err:" + err.Error()
  318. return
  319. }
  320. // 判断指标名称是否存在
  321. {
  322. var condition string
  323. var pars []interface{}
  324. // 指标类型,0:普通指标,1:预测指标
  325. condition += " AND edb_info_id !=? AND edb_info_type=? AND edb_name=? "
  326. pars = append(pars, edbInfo.EdbInfoId, edbInfo.EdbInfoType, req.EdbName)
  327. count, err := models.GetEdbInfoCountByCondition(condition, pars)
  328. if err != nil {
  329. br.Msg = "判断指标名称是否存在失败"
  330. br.ErrMsg = "判断指标名称是否存在失败,Err:" + err.Error()
  331. return
  332. }
  333. if count > 0 {
  334. br.Msg = "指标名称已存在,请重新填写"
  335. br.ErrMsg = "指标名称已存在,请重新填写"
  336. return
  337. }
  338. }
  339. // 关联指标信息
  340. edbInfoList := make([]*models.EdbInfo, 0)
  341. calculateMappingList := make([]*models.EdbInfoCalculateMapping, 0)
  342. for k, v := range req.EdbInfoIdArr {
  343. fromEdbInfo, err := models.GetEdbInfoById(v.EdbInfoId)
  344. if err != nil {
  345. if err.Error() == utils.ErrNoRow() {
  346. br.Msg = "生成计算指标失败"
  347. br.Msg = "指标 " + strconv.Itoa(v.EdbInfoId) + " 不存在"
  348. return
  349. }
  350. br.Msg = "生成计算指标失败"
  351. br.Msg = "获取指标失败:Err:" + err.Error()
  352. return
  353. }
  354. edbInfoList = append(edbInfoList, fromEdbInfo)
  355. //关联关系表
  356. {
  357. calculateMappingItem := &models.EdbInfoCalculateMapping{
  358. CreateTime: time.Now(),
  359. ModifyTime: time.Now(),
  360. Sort: k + 1,
  361. EdbCode: edbInfo.EdbCode,
  362. EdbInfoId: edbInfo.EdbInfoId,
  363. FromEdbInfoId: fromEdbInfo.EdbInfoId,
  364. FromEdbCode: fromEdbInfo.EdbCode,
  365. FromEdbName: fromEdbInfo.EdbName,
  366. FromSource: fromEdbInfo.Source,
  367. FromSourceName: fromEdbInfo.SourceName,
  368. FromTag: v.FromTag,
  369. Source: utils.DATA_SOURCE_PREDICT_CALCULATE,
  370. SourceName: "预测指标运算",
  371. }
  372. calculateMappingList = append(calculateMappingList, calculateMappingItem)
  373. }
  374. }
  375. //预先计算,判断公式是否正常
  376. ok, _ := models.CheckFormula2(edbInfoList, formulaMap, calculateFormula, edbInfoIdBytes)
  377. if !ok {
  378. br.Msg = "生成计算指标失败,请使用正确的计算公式"
  379. return
  380. }
  381. //处理同名指标
  382. {
  383. edbNameList, err := models.GetEdbInfoByName(req.EdbName)
  384. if err != nil {
  385. br.Msg = "保存失败"
  386. br.ErrMsg = "获取指标信息失败,Err:" + err.Error()
  387. return
  388. }
  389. if len(edbNameList) >= 2 {
  390. for _, v := range edbNameList {
  391. edbName := v.EdbName + "(" + v.SourceName + ")"
  392. err = models.ModifyEdbInfoNameSource(edbName, v.EdbInfoId)
  393. if err != nil {
  394. br.Msg = "保存失败"
  395. br.ErrMsg = "修改指标名称失败,Err:" + err.Error()
  396. return
  397. }
  398. }
  399. }
  400. }
  401. edbInfo.EdbName = req.EdbName
  402. edbInfo.Frequency = req.Frequency
  403. edbInfo.Unit = req.Unit
  404. edbInfo.ClassifyId = req.ClassifyId
  405. edbInfo.CalculateFormula = req.CalculateFormula
  406. err = models.EditPredictCalculate(edbInfo, calculateMappingList)
  407. if err != nil {
  408. br.Msg = "修改计算指标失败"
  409. br.Msg = "修改计算指标失败,Calculate Err:" + err.Error()
  410. return
  411. }
  412. // 开始添加预测指标
  413. latestDateStr, latestValue, err := models.AddPredictCalculateData(edbInfoList, edbInfo, edbInfo.EdbCode, req.CalculateFormula, edbInfoIdBytes)
  414. if err != nil {
  415. br.Msg = "生成计算指标失败"
  416. br.Msg = "生成计算指标失败,Calculate Err:" + err.Error()
  417. return
  418. }
  419. // 更新指标最大最小值
  420. err, errMsg := models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  421. if err != nil {
  422. br.Msg = errMsg
  423. br.ErrMsg = err.Error()
  424. return
  425. }
  426. resp := models.AddEdbInfoResp{
  427. EdbInfoId: edbInfo.EdbInfoId,
  428. UniqueCode: edbInfo.UniqueCode,
  429. }
  430. br.Ret = 200
  431. br.Success = true
  432. br.Msg = "保存成功"
  433. br.Data = resp
  434. br.IsAddLog = true
  435. }
  436. // CalculateBatchSave
  437. // @Title 累计值转月-同比值-同差等计算新增
  438. // @Description 累计值转月-同比值-同差等计算新增接口
  439. // @Param request body models.EdbInfoCalculateBatchSaveReq true "type json string"
  440. // @Success Ret=200 返回指标id
  441. // @router /batch/save [post]
  442. func (this *PredictCalculateController) CalculateBatchSave() {
  443. br := new(models.BaseResponse).Init()
  444. defer func() {
  445. this.Data["json"] = br
  446. this.ServeJSON()
  447. }()
  448. var req models.EdbInfoCalculateBatchSaveReq
  449. err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
  450. if err != nil {
  451. br.Msg = "参数解析异常!"
  452. br.ErrMsg = "参数解析失败,Err:" + err.Error()
  453. return
  454. }
  455. req.EdbName = strings.Trim(req.EdbName, " ")
  456. if req.EdbName == "" {
  457. br.Msg = "指标名称不能为空"
  458. return
  459. }
  460. if req.Frequency == "" {
  461. br.Msg = "频率不能为空"
  462. return
  463. }
  464. if req.Unit == "" {
  465. br.Msg = "单位不能为空"
  466. return
  467. }
  468. if req.ClassifyId <= 0 {
  469. br.Msg = "请选择分类"
  470. return
  471. }
  472. if req.FromEdbInfoId <= 0 {
  473. br.Msg = "请选择指标"
  474. return
  475. }
  476. //加入缓存机制,避免创建同一个名称的指标 start
  477. redisKey := fmt.Sprint("edb_info:calculate:batch:save:", req.Source, ":", req.EdbName)
  478. isExist := utils.Rc.IsExist(redisKey)
  479. if isExist {
  480. br.Msg = "指标正在处理,请勿重复提交"
  481. return
  482. } else {
  483. //设置3分钟缓存
  484. utils.Rc.SetNX(redisKey, 1, time.Second*300)
  485. defer func() {
  486. _ = utils.Rc.Delete(redisKey)
  487. }()
  488. }
  489. //加入缓存机制,避免创建同一个名称的指标 end
  490. var condition string
  491. var pars []interface{}
  492. condition += " AND edb_name=? "
  493. pars = append(pars, req.EdbName)
  494. if req.EdbInfoId > 0 {
  495. condition += " AND edb_info_id !=? "
  496. pars = append(pars, req.EdbInfoId)
  497. }
  498. count, err := models.GetEdbInfoCountByCondition(condition, pars)
  499. if err != nil {
  500. br.Msg = "判断指标名称是否存在失败"
  501. br.ErrMsg = "判断指标名称是否存在失败,Err:" + err.Error()
  502. return
  503. }
  504. if count > 0 {
  505. br.Msg = "指标名称已存在,请重新填写"
  506. br.ErrMsg = "指标名称已存在,请重新填写"
  507. return
  508. }
  509. // 来源预测指标信息
  510. fromEdbInfo, err := models.GetEdbInfoById(req.FromEdbInfoId)
  511. if err != nil {
  512. br.Msg = "获取指标信息失败"
  513. br.ErrMsg = "获取指标信息失败:Err:" + err.Error()
  514. return
  515. }
  516. if fromEdbInfo.EdbInfoType != 1 {
  517. br.Msg = "来源指标不是预测指标"
  518. br.ErrMsg = "来源指标不是预测指标"
  519. return
  520. }
  521. //生成指标编码
  522. randStr := utils.GetRandDigit(4)
  523. edbCode := `C` + time.Now().Format("060102") + randStr
  524. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  525. uniqueCode := utils.MD5(utils.DATA_PREFIX + "_" + timestamp)
  526. adminId := req.AdminId
  527. adminName := req.AdminName
  528. var sourName string
  529. var errMsg string
  530. var edbInfo *models.EdbInfo
  531. var latestDateStr string // 最近实际数据的日期
  532. var latestValue float64 // 最近实际数据的值
  533. // 基础指标id
  534. //fromEdbInfoId := req.FromEdbInfoId
  535. var formulaInt int
  536. //var nhccDate models.NhccDate // 拟合残差的日期
  537. switch req.Source {
  538. case utils.DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS, utils.DATA_SOURCE_PREDICT_CALCULATE_HBZ, utils.DATA_SOURCE_PREDICT_CALCULATE_HCZ, utils.DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT, utils.DATA_SOURCE_PREDICT_CALCULATE_CJJX:
  539. if req.Formula == "" {
  540. br.Msg = "请填写N值"
  541. return
  542. }
  543. formulaInt, _ = strconv.Atoi(req.Formula)
  544. if formulaInt <= 0 {
  545. br.Msg = "N值输入错误,请重新输入"
  546. return
  547. }
  548. case utils.DATA_SOURCE_PREDICT_CALCULATE_ZJPJ:
  549. //直接拼接指标
  550. //校验时间格式
  551. _, err = time.ParseInLocation(utils.FormatDate, req.Formula, time.Local)
  552. if err != nil {
  553. br.Msg = "拼接日期有误,请重新输入"
  554. return
  555. }
  556. case utils.DATA_SOURCE_PREDICT_CALCULATE_NHCC: //拟合残差指标
  557. //指标校验
  558. /*if len(req.EdbInfoIdArr) != 2 {
  559. br.Msg = "选择的指标异常,请重新选择"
  560. return
  561. }
  562. fromEdbInfoId = req.EdbInfoIdArr[0].EdbInfoId
  563. //校验时间格式
  564. //数据格式:2022-11-01,2022-11-10
  565. timeList := strings.Split(req.Formula, ",")
  566. if len(timeList) != 2 {
  567. br.Msg = "选择时间有误,请重新输入"
  568. return
  569. }
  570. startDate, err := time.ParseInLocation(utils.FormatDate, timeList[0], time.Local)
  571. if err != nil {
  572. br.Msg = "开始日期有误,请重新输入"
  573. return
  574. }
  575. endDate, err := time.ParseInLocation(utils.FormatDate, timeList[1], time.Local)
  576. if err != nil {
  577. br.Msg = "结束日期有误,请重新输入"
  578. return
  579. }
  580. if utils.GetTimeSubDay(startDate, endDate) < 2 {
  581. br.Msg = "日期间隔不得少于两天"
  582. return
  583. }
  584. nhccDate.StartDate = startDate
  585. nhccDate.EndDate = endDate*/
  586. }
  587. if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TBZ {
  588. sourName = "预测同比"
  589. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateTbz(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  590. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TCZ {
  591. sourName = "预测同差"
  592. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateTcz(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  593. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS {
  594. sourName = "预测N数值移动平均计算"
  595. edbInfo, latestDateStr, latestValue, err, errMsg = models.SavePredictCalculateNszydpjjs(req.EdbInfoId, req.ClassifyId, req.EdbName, req.Frequency, req.Unit, req.Formula, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  596. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_BP {
  597. sourName = "预测变频"
  598. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateBp(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  599. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_HBZ {
  600. checkDataList, tmpErr := models.GetPredictEdbDataListAllByStartDate(fromEdbInfo, 0, "")
  601. if tmpErr != nil && tmpErr.Error() != utils.ErrNoRow() {
  602. br.Msg = "判断环比值是否可计算失败"
  603. br.ErrMsg = "判断环比值是否可计算失败,Err:" + tmpErr.Error()
  604. return
  605. }
  606. for _, v := range checkDataList {
  607. if v.Value <= 0 {
  608. br.Msg = "原始数据中存在0或负数,该指标不能进行环比运算"
  609. br.ErrMsg = "原始数据中出现0和负值时,提示该指标不能进行环比运算"
  610. return
  611. }
  612. }
  613. sourName = "预测环比值"
  614. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateHbz(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, formulaInt)
  615. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_HCZ {
  616. sourName = "预测环差值"
  617. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateHcz(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName, formulaInt)
  618. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_LJZZY {
  619. sourName = "预测累计值转月值"
  620. if fromEdbInfo.Frequency != "月度" {
  621. br.Msg = "请选择月度指标"
  622. return
  623. }
  624. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateLjzzy(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  625. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT {
  626. sourName = "预测时间移位"
  627. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateTimeShift(&req, fromEdbInfo, edbCode, uniqueCode, adminId, adminName)
  628. } else if req.Source == utils.DATA_SOURCE_PREDICT_CALCULATE_LJZTBPJ {
  629. sourName = "预测累计值同比拼接"
  630. if fromEdbInfo.Frequency != "月度" {
  631. br.Msg = "待拼接指标只能筛选月度指标"
  632. br.ErrMsg = "待拼接指标只能筛选月度指标"
  633. return
  634. }
  635. if len(req.EdbInfoIdArr) != 1 {
  636. br.Msg = "请传入同比值指标"
  637. br.ErrMsg = "请传入同比值指标"
  638. return
  639. }
  640. secondEdbInfoReq := req.EdbInfoIdArr[0]
  641. tbzEdbInfo, tmpErr := models.GetEdbInfoById(secondEdbInfoReq.EdbInfoId)
  642. if tmpErr != nil {
  643. br.Msg = "获取同比值指标信息失败"
  644. br.ErrMsg = "获取同比值指标信息失败:Err:" + tmpErr.Error()
  645. return
  646. }
  647. if tbzEdbInfo.Source != utils.DATA_SOURCE_PREDICT_CALCULATE_TBZ {
  648. br.Msg = "指标必须是传入同比值指标类型"
  649. br.ErrMsg = "指标必须是传入同比值指标类型"
  650. return
  651. }
  652. if tbzEdbInfo.Frequency != "月度" {
  653. br.Msg = "同比值指标只能筛选月度指标"
  654. br.ErrMsg = "同比值指标只能筛选月度指标"
  655. return
  656. }
  657. if fromEdbInfo.EdbInfoId == tbzEdbInfo.EdbInfoId {
  658. br.Msg = "两个指标不允许为同一个"
  659. br.ErrMsg = "两个指标不允许为同一个"
  660. return
  661. }
  662. edbInfo, latestDateStr, latestValue, err = models.SavePredictCalculateLjztbpj(&req, fromEdbInfo, tbzEdbInfo, edbCode, uniqueCode, adminId, adminName)
  663. } else {
  664. br.Msg = "无效计算方式"
  665. br.ErrMsg = "无效计算方式,source:" + strconv.Itoa(req.Source)
  666. return
  667. }
  668. if err != nil {
  669. br.Msg = "生成" + sourName + "失败"
  670. if errMsg != `` {
  671. br.Msg = errMsg
  672. }
  673. br.Msg = "生成" + sourName + "失败 Err:" + err.Error()
  674. return
  675. }
  676. if edbInfo == nil {
  677. br.Msg = "生成" + sourName + "失败"
  678. br.ErrMsg = "生成" + sourName + "失败,edbInfo is nil"
  679. return
  680. }
  681. //处理同名指标
  682. {
  683. edbNameList, err := models.GetEdbInfoByName(req.EdbName)
  684. if err != nil {
  685. br.Msg = "保存失败"
  686. br.ErrMsg = "获取指标信息失败,Err:" + err.Error()
  687. return
  688. }
  689. if len(edbNameList) >= 2 {
  690. for _, v := range edbNameList {
  691. edbName := v.EdbName + "(" + v.SourceName + ")"
  692. err = models.ModifyEdbInfoNameSource(edbName, v.EdbInfoId)
  693. if err != nil {
  694. br.Msg = "保存失败"
  695. br.ErrMsg = "修改指标名称失败,Err:" + err.Error()
  696. return
  697. }
  698. }
  699. }
  700. }
  701. // 更新指标最大最小值
  702. err, errMsg = models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  703. if err != nil {
  704. br.Msg = errMsg
  705. br.ErrMsg = err.Error()
  706. return
  707. }
  708. resp := models.AddEdbInfoResp{
  709. EdbInfoId: edbInfo.EdbInfoId,
  710. UniqueCode: uniqueCode,
  711. }
  712. br.Ret = 200
  713. br.Success = true
  714. br.Msg = "保存成功"
  715. br.Data = resp
  716. br.IsAddLog = true
  717. }
  718. // Refresh
  719. // @Title 刷新计算指标接口
  720. // @Description 刷新计算指标接口
  721. // @Success 200 {object} models.RefreshEdbInfoReq
  722. // @router /refresh [post]
  723. func (this *PredictCalculateController) Refresh() {
  724. br := new(models.BaseResponse).Init()
  725. var cacheKey string
  726. defer func() {
  727. this.Data["json"] = br
  728. this.ServeJSON()
  729. }()
  730. var req models.RefreshEdbInfoReq
  731. err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
  732. if err != nil {
  733. br.Msg = "参数解析异常!"
  734. br.ErrMsg = "参数解析失败,Err:" + err.Error()
  735. return
  736. }
  737. if req.EdbCode == "" {
  738. br.Msg = "请输入指标编码!"
  739. br.ErrMsg = "请输入指标编码,指标编码为空"
  740. return
  741. }
  742. if req.EdbInfoId <= 0 {
  743. br.Msg = "请输入指标ID!"
  744. br.ErrMsg = "请输入指标ID"
  745. return
  746. }
  747. edbInfo, err := models.GetEdbInfoById(req.EdbInfoId)
  748. if err != nil {
  749. br.Msg = "指标不存在!"
  750. br.ErrMsg = "指标不存在"
  751. return
  752. }
  753. cacheKey = utils.CACHE_EDB_DATA_REFRESH + strconv.Itoa(edbInfo.Source) + "_" + req.EdbCode
  754. if utils.Rc.IsExist(cacheKey) {
  755. br.Ret = 501
  756. br.Success = true
  757. br.Msg = "系统处理中,请稍后重试"
  758. br.IsSendEmail = false
  759. return
  760. }
  761. utils.Rc.SetNX(cacheKey, 1, 1*time.Minute)
  762. defer func() {
  763. _ = utils.Rc.Delete(cacheKey)
  764. }()
  765. startDate := req.StartDate
  766. var errMsg string
  767. endDate := time.Now().Format(utils.FormatDate)
  768. edbInfoId := edbInfo.EdbInfoId
  769. source := edbInfo.Source
  770. var latestDateStr string // 最近实际数据的日期
  771. var latestValue float64 // 最近实际数据的值
  772. switch source {
  773. case utils.DATA_SOURCE_PREDICT_CALCULATE:
  774. //startDate = edbInfo.StartDate
  775. //sTime, err := time.Parse(utils.FormatDate, edbInfo.EndDate)
  776. //if err != nil {
  777. // return
  778. //}
  779. //startDate = sTime.Format(utils.FormatDate)
  780. startDate = ""
  781. var edbInfoIdBytes []string
  782. calculateMap, err := models.GetEdbInfoCalculateDetailList(edbInfo.EdbInfoId)
  783. if err != nil {
  784. errMsg = "GetEdbInfoCalculateDetail Err:" + err.Error()
  785. break
  786. }
  787. var formulaStr string
  788. edbInfoList := make([]*models.EdbInfo, 0)
  789. for _, v := range calculateMap {
  790. formulaStr += v.FromTag + ","
  791. edbInfoIdBytes = append(edbInfoIdBytes, v.FromTag)
  792. edbInfo, _ := models.GetEdbInfoById(v.FromEdbInfoId)
  793. edbInfoList = append(edbInfoList, edbInfo)
  794. }
  795. latestDateStr, latestValue, err = models.RefreshAllPredictCalculate(edbInfoList, edbInfo.EdbInfoId, source, edbInfo.EdbCode, edbInfo.CalculateFormula, startDate, edbInfoIdBytes)
  796. if err != nil && err.Error() != utils.ErrNoRow() {
  797. errMsg = "RefreshCalculate Err:" + err.Error()
  798. break
  799. }
  800. case utils.DATA_SOURCE_PREDICT_CALCULATE_TBZ: //刷新同比值
  801. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  802. if err != nil {
  803. errMsg = "GetEdbInfoCalculateTbzDetail Err:" + err.Error()
  804. break
  805. }
  806. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  807. if err != nil {
  808. errMsg = "GetEdbInfoById Err:" + err.Error()
  809. break
  810. }
  811. startDate = edbInfo.StartDate
  812. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateTbz(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate)
  813. if err != nil && err.Error() != utils.ErrNoRow() {
  814. errMsg = "RefreshAllCalculateTbz Err:" + err.Error()
  815. break
  816. }
  817. case utils.DATA_SOURCE_PREDICT_CALCULATE_TCZ: //同差值
  818. calculateTcz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  819. if err != nil {
  820. errMsg = "GetEdbInfoCalculateTczDetail Err:" + err.Error()
  821. break
  822. }
  823. fromEdbInfo, err := models.GetEdbInfoById(calculateTcz.FromEdbInfoId)
  824. if err != nil {
  825. errMsg = "GetEdbInfoById Err:" + err.Error()
  826. break
  827. }
  828. startDate = edbInfo.StartDate
  829. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateTcz(edbInfoId, source, fromEdbInfo, calculateTcz.EdbCode, startDate)
  830. if err != nil && err.Error() != utils.ErrNoRow() {
  831. errMsg = "RefreshCalculateTcz Err:" + err.Error()
  832. break
  833. }
  834. case utils.DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS: //N数值移动平均计算
  835. calculateInfo, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  836. if err != nil {
  837. errMsg = "GetEdbInfoCalculateTczDetail Err:" + err.Error()
  838. break
  839. }
  840. fromEdbInfo, err := models.GetEdbInfoById(calculateInfo.FromEdbInfoId)
  841. if err != nil {
  842. errMsg = "GetEdbInfoById Err:" + err.Error()
  843. break
  844. }
  845. var formulaInt int
  846. formulaInt, _ = strconv.Atoi(calculateInfo.CalculateFormula)
  847. if formulaInt <= 0 {
  848. errMsg = "N值输入错误,请重新输入"
  849. break
  850. }
  851. startDate = edbInfo.StartDate
  852. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateNszydpjjs(edbInfoId, source, formulaInt, fromEdbInfo, calculateInfo.EdbCode, startDate)
  853. if err != nil && err.Error() != utils.ErrNoRow() {
  854. errMsg = "RefreshAllPredictCalculateNszydpjjs Err:" + err.Error()
  855. break
  856. }
  857. case utils.DATA_SOURCE_PREDICT_CALCULATE_BP: //刷新变频
  858. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  859. if err != nil {
  860. errMsg = "GetEdbInfoCalculateTbzDetail Err:" + err.Error()
  861. break
  862. }
  863. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  864. if err != nil {
  865. errMsg = "GetEdbInfoById Err:" + err.Error()
  866. break
  867. }
  868. endDate = time.Now().Format(utils.FormatDate)
  869. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateBp(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate, endDate)
  870. if err != nil && err.Error() != utils.ErrNoRow() {
  871. errMsg = "RefreshAllPredictCalculateBp Err:" + err.Error()
  872. break
  873. }
  874. case utils.DATA_SOURCE_PREDICT_CALCULATE_HBZ: //刷新环比值
  875. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  876. if err != nil {
  877. errMsg = "GetEdbInfoCalculateHbzDetail Err:" + err.Error()
  878. break
  879. }
  880. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  881. if err != nil {
  882. errMsg = "GetEdbInfoById Err:" + err.Error()
  883. break
  884. }
  885. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  886. endDate = time.Now().Format(utils.FormatDate)
  887. formulaInt, _ := strconv.Atoi(edbInfo.CalculateFormula)
  888. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateHbz(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate, endDate, formulaInt)
  889. if err != nil && err.Error() != utils.ErrNoRow() {
  890. errMsg = "RefreshAllPredictCalculateHbz Err:" + err.Error()
  891. break
  892. }
  893. case utils.DATA_SOURCE_PREDICT_CALCULATE_HCZ: //刷新环差值
  894. calculateTbz, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  895. if err != nil {
  896. errMsg = "GetEdbInfoCalculateHczDetail Err:" + err.Error()
  897. break
  898. }
  899. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  900. if err != nil {
  901. errMsg = "GetEdbInfoById Err:" + err.Error()
  902. break
  903. }
  904. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  905. endDate = time.Now().Format(utils.FormatDate)
  906. formulaInt, _ := strconv.Atoi(edbInfo.CalculateFormula)
  907. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateHcz(edbInfoId, source, fromEdbInfo, calculateTbz.EdbCode, startDate, endDate, formulaInt)
  908. if err != nil && err.Error() != utils.ErrNoRow() {
  909. errMsg = "RefreshAllPredictCalculateHcz Err:" + err.Error()
  910. break
  911. }
  912. case utils.DATA_SOURCE_PREDICT_CALCULATE_LJZZY: //刷新累计值转月值
  913. calculateLjzzy, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  914. if err != nil {
  915. errMsg = "GetEdbInfoCalculateLjzzyDetail Err:" + err.Error()
  916. break
  917. }
  918. fromEdbInfo, err := models.GetEdbInfoById(calculateLjzzy.FromEdbInfoId)
  919. if err != nil {
  920. errMsg = "GetEdbInfoById Err:" + err.Error()
  921. break
  922. }
  923. endDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  924. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  925. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateLjzzy(edbInfoId, source, fromEdbInfo, calculateLjzzy.EdbCode, startDate, endDate)
  926. if err != nil && err.Error() != utils.ErrNoRow() {
  927. errMsg = "RefreshAllPredictCalculateLjzzy Err:" + err.Error()
  928. break
  929. }
  930. case utils.DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT:
  931. calculate, err := models.GetEdbInfoCalculateMappingDetail(edbInfoId)
  932. if err != nil {
  933. errMsg = "GetEdbInfoCalculateTbzDetail Err:" + err.Error()
  934. break
  935. }
  936. fromEdbInfo, err := models.GetEdbInfoById(calculate.FromEdbInfoId)
  937. if err != nil {
  938. errMsg = "GetEdbInfoById Err:" + err.Error()
  939. break
  940. }
  941. //startDate = edbInfo.StartDate
  942. startDate = `` //只要填写日期,就会出现问题,还是把日期给去掉吧
  943. endDate = time.Now().Format(utils.FormatDate)
  944. formulaInt, _ := strconv.Atoi(calculate.CalculateFormula)
  945. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateTimeShift(edbInfoId, source, formulaInt, calculate.MoveType, fromEdbInfo, calculate.EdbCode, startDate, endDate, calculate.MoveFrequency)
  946. if err != nil && err.Error() != utils.ErrNoRow() {
  947. errMsg = "RefreshAllCalculateTimeShift Err:" + err.Error()
  948. }
  949. case utils.DATA_SOURCE_PREDICT_CALCULATE_LJZTBPJ: //刷新累计值同比拼接
  950. calculateTbz, err := models.GetEdbInfoCalculateMappingDetailByFromTag(edbInfoId,"A")
  951. if err != nil {
  952. errMsg = "GetEdbInfoCalculateTbzDetail Err:" + err.Error()
  953. break
  954. }
  955. fromEdbInfo, err := models.GetEdbInfoById(calculateTbz.FromEdbInfoId)
  956. if err != nil {
  957. errMsg = "GetEdbInfoById Err:" + err.Error()
  958. break
  959. }
  960. latestDateStr, latestValue, err = models.RefreshAllPredictCalculateLjztbpj(edbInfo, fromEdbInfo)
  961. if err != nil && err.Error() != utils.ErrNoRow() {
  962. errMsg = "RefreshAllPredictCalculateLjztbpj Err:" + err.Error()
  963. break
  964. }
  965. default:
  966. br.Msg = "来源异常,请联系相关开发!"
  967. br.ErrMsg = "来源异常,请联系相关开发"
  968. return
  969. }
  970. if errMsg != `` {
  971. br.Msg = "刷新指标失败!"
  972. br.ErrMsg = "刷新指标失败,err:" + errMsg
  973. return
  974. }
  975. // 更新指标最大最小值
  976. err, errMsg = models.UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo, latestDateStr, latestValue)
  977. if err != nil {
  978. br.Msg = errMsg
  979. br.ErrMsg = err.Error()
  980. return
  981. }
  982. // 更新ES
  983. go logic.UpdateEs(edbInfo.EdbInfoId)
  984. br.Ret = 200
  985. br.Success = true
  986. br.Msg = "获取成功"
  987. }