base_from_calculate.go 35 KB

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  1. package services
  2. import (
  3. "eta/eta_index_lib/logic"
  4. "eta/eta_index_lib/models"
  5. "eta/eta_index_lib/utils"
  6. "fmt"
  7. "sort"
  8. "strconv"
  9. "strings"
  10. "time"
  11. )
  12. // EdbCalculateBatchSave 批量指标运算
  13. func EdbCalculateBatchSave(req models.EdbInfoCalculateBatchSaveReq, lang string) (edbInfo *models.EdbInfo, uniqueCode string, err error, errMsg string) {
  14. // 校验参数
  15. req.EdbName = strings.Trim(req.EdbName, " ")
  16. if req.EdbName == "" {
  17. err = fmt.Errorf("指标名称不能为空")
  18. return
  19. }
  20. if req.Frequency == "" {
  21. err = fmt.Errorf("频率不能为空")
  22. return
  23. }
  24. if req.Unit == "" {
  25. err = fmt.Errorf("单位不能为空")
  26. return
  27. }
  28. if req.ClassifyId <= 0 {
  29. err = fmt.Errorf("请选择分类")
  30. return
  31. }
  32. // 基础指标id
  33. fromEdbInfoId := req.FromEdbInfoId
  34. var formulaInt int
  35. var nhccDate models.NhccDate // 拟合残差的日期
  36. switch req.Source {
  37. case utils.DATA_SOURCE_CALCULATE_NSZYDPJJS, utils.DATA_SOURCE_CALCULATE_HBZ, utils.DATA_SOURCE_CALCULATE_HCZ, utils.DATA_SOURCE_CALCULATE_TIME_SHIFT, utils.DATA_SOURCE_CALCULATE_CJJX:
  38. if req.Formula == "" {
  39. err = fmt.Errorf("请填写N值")
  40. return
  41. }
  42. formulaInt, _ = strconv.Atoi(req.Formula)
  43. if formulaInt <= 0 {
  44. err = fmt.Errorf(" N值输入错误,请重新输入")
  45. return
  46. }
  47. case utils.DATA_SOURCE_CALCULATE_ZJPJ:
  48. //直接拼接指标
  49. //校验时间格式
  50. _, err = time.ParseInLocation(utils.FormatDate, req.Formula, time.Local)
  51. if err != nil {
  52. err = fmt.Errorf("拼接日期有误,请重新输入")
  53. return
  54. }
  55. case utils.DATA_SOURCE_CALCULATE_NHCC: //拟合残差指标
  56. //指标校验
  57. if len(req.EdbInfoIdArr) != 2 {
  58. err = fmt.Errorf("选择的指标异常,请重新选择")
  59. return
  60. }
  61. fromEdbInfoId = req.EdbInfoIdArr[0].EdbInfoId
  62. //校验时间格式
  63. //数据格式:2022-11-01,2022-11-10
  64. timeList := strings.Split(req.Formula, ",")
  65. if len(timeList) != 2 {
  66. err = fmt.Errorf("选择时间有误,请重新输入")
  67. return
  68. }
  69. startDate, e := time.ParseInLocation(utils.FormatDate, timeList[0], time.Local)
  70. if e != nil {
  71. err = fmt.Errorf("开始日期有误,请重新输入")
  72. return
  73. }
  74. endDate, e := time.ParseInLocation(utils.FormatDate, timeList[1], time.Local)
  75. if e != nil {
  76. err = fmt.Errorf("结束日期有误,请重新输入")
  77. return
  78. }
  79. if utils.GetTimeSubDay(startDate, endDate) < 2 {
  80. err = fmt.Errorf("日期间隔不得少于两天")
  81. return
  82. }
  83. nhccDate.StartDate = startDate
  84. nhccDate.EndDate = endDate
  85. case utils.DATA_SOURCE_CALCULATE_JP:
  86. if req.Formula != "期末值" && req.Formula != "平均值" {
  87. err = fmt.Errorf("数据取值类型错误:" + req.Formula)
  88. return
  89. }
  90. case utils.DATA_SOURCE_CALCULATE_ZSXY: // 指数修匀
  91. if req.Formula == "" {
  92. err = fmt.Errorf("请填写alpha值")
  93. return
  94. }
  95. a, e := strconv.ParseFloat(req.Formula, 64)
  96. if e != nil {
  97. err = fmt.Errorf("alpha值输入错误, 请重新输入")
  98. return
  99. }
  100. if a <= 0 || a >= 1 {
  101. err = fmt.Errorf("alpha值输入错误, 请重新输入")
  102. return
  103. }
  104. }
  105. notNeedFromEdbSourceList := []int{utils.DATA_SOURCE_CALCULATE_KSZS, utils.DATA_SOURCE_CALCULATE_CORRELATION, utils.DATA_SOURCE_CALCULATE_ZDYFX, utils.DATA_SOURCE_CALCULATE_SUM, utils.DATA_SOURCE_CALCULATE_AVG} // 不需要传入来源指标id的 指标类型
  106. if fromEdbInfoId <= 0 && !utils.InArrayByInt(notNeedFromEdbSourceList, req.Source) {
  107. err = fmt.Errorf("请选择指标")
  108. return
  109. }
  110. //加入缓存机制,避免创建同一个名称的指标 start
  111. redisKey := fmt.Sprint("edb_lib:edb_info:calculate:batch:save:", req.Source, ":", req.EdbName)
  112. isExist := utils.Rc.IsExist(redisKey)
  113. if isExist {
  114. err = fmt.Errorf("指标正在处理,请勿重复提交")
  115. return
  116. } else {
  117. //设置3分钟缓存
  118. utils.Rc.SetNX(redisKey, 1, time.Second*300)
  119. defer func() {
  120. _ = utils.Rc.Delete(redisKey)
  121. }()
  122. }
  123. //加入缓存机制,避免创建同一个名称的指标 end
  124. var condition string
  125. var pars []interface{}
  126. condition += " AND edb_name=? "
  127. pars = append(pars, req.EdbName)
  128. count, err := models.GetEdbInfoCountByCondition(condition, pars)
  129. if err != nil {
  130. err = fmt.Errorf("判断指标名称是否存在失败")
  131. errMsg = "判断指标名称是否存在失败,Err:" + err.Error()
  132. return
  133. }
  134. if count > 0 {
  135. err = fmt.Errorf("指标名称已存在,请重新填写")
  136. errMsg = "指标名称已存在,请重新填写"
  137. return
  138. }
  139. // 来源指标
  140. var fromEdbInfo *models.EdbInfo
  141. if fromEdbInfoId > 0 {
  142. fromEdbInfo, err = models.GetEdbInfoById(fromEdbInfoId)
  143. if err != nil {
  144. errMsg = "获取指标信息失败:Err:" + err.Error()
  145. err = fmt.Errorf("获取指标信息失败")
  146. return
  147. }
  148. }
  149. //生成指标编码
  150. edbCode, err := utils.GenerateEdbCode(1, "")
  151. if err != nil {
  152. errMsg = "指标编码生成失败:Err:" + err.Error()
  153. err = fmt.Errorf("指标生成失败")
  154. return
  155. }
  156. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  157. uniqueCode = utils.MD5(utils.DATA_PREFIX + "_" + timestamp)
  158. sysUserId := req.AdminId
  159. sysUserName := req.AdminName
  160. var sourName string
  161. var edbInfoId int
  162. var baseEdbInfoModel models.BaseEdbInfoInterface
  163. addParam := models.AddCalculateBatchParams{
  164. Req: &req,
  165. FromEdbInfo: fromEdbInfo,
  166. EdbCode: edbCode,
  167. UniqueCode: uniqueCode,
  168. SysUserId: sysUserId,
  169. SysUserRealName: sysUserName,
  170. }
  171. switch req.Source {
  172. case utils.DATA_SOURCE_CALCULATE:
  173. sourName = "计算指标"
  174. req2 := models.EdbInfoCalculateSaveReq{
  175. AdminId: sysUserId,
  176. AdminName: sysUserName,
  177. EdbName: req.EdbName,
  178. Frequency: req.Frequency,
  179. Unit: req.Unit,
  180. ClassifyId: req.ClassifyId,
  181. CalculateFormula: req.CalculateFormula,
  182. //EdbInfoIdArr: req.EdbInfoIdArr,
  183. EmptyType: req.EmptyType,
  184. MaxEmptyType: req.MaxEmptyType,
  185. Extra: req.Extra,
  186. }
  187. // 放入A指标
  188. t := models.EdbInfoFromTag{
  189. EdbInfoId: req.FromEdbInfoId,
  190. FromTag: "A",
  191. }
  192. req2.EdbInfoIdArr = append(req2.EdbInfoIdArr, t)
  193. // 放入B指标
  194. if len(req.EdbInfoIdArr) > 0 {
  195. t = models.EdbInfoFromTag{
  196. EdbInfoId: req.EdbInfoIdArr[0].EdbInfoId,
  197. FromTag: "B",
  198. }
  199. req2.EdbInfoIdArr = append(req2.EdbInfoIdArr, t)
  200. }
  201. edbInfo, _, err, errMsg = EdbCalculateAdd(req2, lang)
  202. case utils.DATA_SOURCE_CALCULATE_LJZZY:
  203. sourName = "累计值转月值"
  204. if fromEdbInfo.Frequency != "月度" {
  205. err = fmt.Errorf("请选择月度指标")
  206. return
  207. }
  208. edbInfo, err = models.AddCalculateLjzzy(&req, fromEdbInfo, edbCode, uniqueCode, sysUserId, sysUserName)
  209. case utils.DATA_SOURCE_CALCULATE_TBZ:
  210. if req.Frequency != fromEdbInfo.Frequency {
  211. err = fmt.Errorf("当前频度和原指标频度不一致")
  212. return
  213. }
  214. if req.Unit != "无" {
  215. err = fmt.Errorf("单位只允许为无,禁止选择其他单位")
  216. return
  217. }
  218. sourName = "同比值"
  219. edbInfo, err = models.AddCalculateTbz(&req, fromEdbInfo, edbCode, uniqueCode, sysUserId, sysUserName)
  220. case utils.DATA_SOURCE_CALCULATE_TCZ:
  221. if req.Frequency != fromEdbInfo.Frequency {
  222. err = fmt.Errorf("当前频度和原指标频度不一致")
  223. return
  224. }
  225. if req.Unit != fromEdbInfo.Unit {
  226. err = fmt.Errorf("当前单位和原指标单位不一致")
  227. return
  228. }
  229. sourName = "同差值"
  230. edbInfo, err = models.AddCalculateTcz(&req, fromEdbInfo, edbCode, uniqueCode, sysUserId, sysUserName)
  231. case utils.DATA_SOURCE_CALCULATE_NSZYDPJJS:
  232. sourName = "N数值移动平均计算"
  233. edbInfo, err = models.AddCalculateNszydpjjs(&req, fromEdbInfo, edbCode, uniqueCode, sysUserId, sysUserName, formulaInt)
  234. case utils.DATA_SOURCE_CALCULATE_HBZ:
  235. checkCount, tmpErr := models.GetLteZeroEdbDataCount(fromEdbInfo.Source, fromEdbInfo.SubSource, fromEdbInfoId)
  236. if tmpErr != nil && tmpErr.Error() != utils.ErrNoRow() {
  237. err = fmt.Errorf("判断环比值是否可计算失败")
  238. errMsg = "判断环比值是否可计算失败,Err:" + tmpErr.Error()
  239. return
  240. }
  241. if checkCount > 0 {
  242. err = fmt.Errorf("原始数据中存在0或负数,该指标不能进行环比运算")
  243. 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"
  244. return
  245. }
  246. sourName = "环比值"
  247. edbInfo, err = models.AddCalculateHbz(&req, fromEdbInfo, edbCode, uniqueCode, sysUserId, sysUserName, formulaInt)
  248. case utils.DATA_SOURCE_CALCULATE_HCZ:
  249. sourName = "环差值"
  250. edbInfo, err = models.AddCalculateHcz(&req, fromEdbInfo, edbCode, uniqueCode, sysUserId, sysUserName, formulaInt)
  251. case utils.DATA_SOURCE_CALCULATE_BP:
  252. sourName = utils.DATA_SOURCE_NAME_CALCULATE_BP
  253. edbInfo, err = models.AddCalculateBp(&req, fromEdbInfo, edbCode, uniqueCode, sysUserId, sysUserName)
  254. case utils.DATA_SOURCE_CALCULATE_TIME_SHIFT:
  255. sourName = "时间移位"
  256. edbInfo, err = models.AddCalculateTimeShift(&req, fromEdbInfo, edbCode, uniqueCode, sysUserId, sysUserName)
  257. case utils.DATA_SOURCE_CALCULATE_ZJPJ:
  258. sourName = "直接拼接"
  259. if len(req.EdbInfoIdArr) != 1 {
  260. err = fmt.Errorf("请传入拼接日期之后的指标")
  261. errMsg = "请传入拼接日期之后的指标"
  262. return
  263. }
  264. secondEdbInfoReq := req.EdbInfoIdArr[0]
  265. secondEdbInfo, tmpErr := models.GetEdbInfoById(secondEdbInfoReq.EdbInfoId)
  266. if tmpErr != nil {
  267. err = fmt.Errorf("获取拼接日期之后的指标信息失败")
  268. errMsg = "获取拼接日期之后的指标信息失败:Err:" + tmpErr.Error()
  269. return
  270. }
  271. if fromEdbInfo.EdbInfoId == secondEdbInfo.EdbInfoId {
  272. err = fmt.Errorf("两个指标不允许为同一个")
  273. errMsg = "两个指标不允许为同一个"
  274. return
  275. }
  276. edbInfo, err = models.AddCalculateZjpj(&req, fromEdbInfo, secondEdbInfo, edbCode, uniqueCode, sysUserId, sysUserName)
  277. case utils.DATA_SOURCE_CALCULATE_LJZTBPJ:
  278. sourName = "累计值同比拼接"
  279. if fromEdbInfo.Frequency != "月度" {
  280. err = fmt.Errorf("待拼接指标只能筛选月度指标")
  281. errMsg = "待拼接指标只能筛选月度指标"
  282. return
  283. }
  284. if len(req.EdbInfoIdArr) != 1 {
  285. err = fmt.Errorf("请传入同比值指标")
  286. errMsg = "请传入同比值指标"
  287. return
  288. }
  289. secondEdbInfoReq := req.EdbInfoIdArr[0]
  290. tbzEdbInfo, tmpErr := models.GetEdbInfoById(secondEdbInfoReq.EdbInfoId)
  291. if tmpErr != nil {
  292. err = fmt.Errorf("获取同比值指标信息失败")
  293. errMsg = "获取同比值指标信息失败:Err:" + tmpErr.Error()
  294. return
  295. }
  296. if tbzEdbInfo.Source != utils.DATA_SOURCE_CALCULATE_TBZ {
  297. err = fmt.Errorf("指标必须是传入同比值指标类型")
  298. errMsg = "指标必须是传入同比值指标类型"
  299. return
  300. }
  301. if tbzEdbInfo.Frequency != "月度" {
  302. err = fmt.Errorf("同比值指标只能筛选月度指标")
  303. errMsg = "同比值指标只能筛选月度指标"
  304. return
  305. }
  306. if fromEdbInfo.EdbInfoId == tbzEdbInfo.EdbInfoId {
  307. err = fmt.Errorf("两个指标不允许为同一个")
  308. errMsg = "两个指标不允许为同一个"
  309. return
  310. }
  311. edbInfo, err = models.AddCalculateLjztbpj(&req, fromEdbInfo, tbzEdbInfo, edbCode, uniqueCode, sysUserId, sysUserName)
  312. case utils.DATA_SOURCE_CALCULATE_CJJX:
  313. sourName = "超季节性"
  314. edbInfo, err = models.AddCalculateCjjx(&req, fromEdbInfo, edbCode, uniqueCode, sysUserId, sysUserName, formulaInt)
  315. case utils.DATA_SOURCE_CALCULATE_NHCC:
  316. sourName = "拟合残差"
  317. secondEdbInfoReq := req.EdbInfoIdArr[1]
  318. secondEdbInfo, tmpErr := models.GetEdbInfoById(secondEdbInfoReq.EdbInfoId)
  319. if tmpErr != nil {
  320. err = fmt.Errorf("获取因变量的指标信息失败")
  321. errMsg = "获取因变量的指标信息失败:Err:" + tmpErr.Error()
  322. return
  323. }
  324. if fromEdbInfo.EdbInfoId == secondEdbInfo.EdbInfoId {
  325. err = fmt.Errorf("两个指标不允许为同一个")
  326. errMsg = "两个指标不允许为同一个"
  327. return
  328. }
  329. edbInfo, err, errMsg = models.AddCalculateNhcc(&req, fromEdbInfo, secondEdbInfo, edbCode, uniqueCode, nhccDate, sysUserId, sysUserName)
  330. case utils.DATA_SOURCE_CALCULATE_JP:
  331. if !models.CheckFrequency(fromEdbInfo.Frequency, req.Frequency) {
  332. err = fmt.Errorf("频度异常,不允许低频降频到高频")
  333. return
  334. }
  335. sourName = utils.DATA_SOURCE_NAME_CALCULATE_JP
  336. edbInfo, err = models.AddCalculateJp(&req, fromEdbInfo, edbCode, uniqueCode, sysUserId, sysUserName)
  337. case utils.DATA_SOURCE_CALCULATE_NH:
  338. sourName = utils.DATA_SOURCE_NAME_CALCULATE_NH
  339. edbInfo, err = models.AddCalculateNh(&req, fromEdbInfo, edbCode, uniqueCode, sysUserId, sysUserName)
  340. case utils.DATA_SOURCE_CALCULATE_KSZS:
  341. //关联的指标信息
  342. if len(req.EdbInfoIdArr) < 2 {
  343. err = fmt.Errorf("指标数量不能小于2个,请重新选择")
  344. errMsg = "指标数量不能小于2个,请重新选择"
  345. //br.IsSendEmail = false
  346. return
  347. }
  348. sourName = utils.DATA_SOURCE_NAME_CALCULATE_KSZS
  349. edbInfo, err = models.AddCalculateKszs(&req, edbCode, uniqueCode, sysUserId, sysUserName)
  350. case utils.DATA_SOURCE_CALCULATE_CORRELATION:
  351. //关联的指标信息
  352. if len(req.EdbInfoIdArr) < 2 {
  353. err = fmt.Errorf("指标数量不能小于2个,请重新选择")
  354. errMsg = "指标数量不能小于2个,请重新选择"
  355. //br.IsSendEmail = false
  356. return
  357. }
  358. sourName = utils.DATA_SOURCE_NAME_CALCULATE_CORRELATION
  359. edbInfo, err, errMsg = models.AddCalculateCorrelation(&req, edbCode, uniqueCode, sysUserId, sysUserName)
  360. case utils.DATA_SOURCE_CALCULATE_RJZ:
  361. if req.Frequency == "日度" {
  362. err = fmt.Errorf("日度指标无需进行日均值计算")
  363. return
  364. }
  365. if req.Frequency != fromEdbInfo.Frequency {
  366. err = fmt.Errorf("当前频度和原指标频度不一致")
  367. return
  368. }
  369. if req.Unit != fromEdbInfo.Unit {
  370. err = fmt.Errorf("单位只允许为和原指标频度保持一致,禁止选择其他单位")
  371. return
  372. }
  373. sourName = "日均值"
  374. edbInfo, err = models.AddCalculateRjz(&req, fromEdbInfo, edbCode, uniqueCode, sysUserId, sysUserName)
  375. default:
  376. // 获取通用的数据源处理服务
  377. baseEdbInfoModel = models.GetBaseEdbInfoModel(req.Source)
  378. // 没有找到的话,那么就直接返回报错吧
  379. if baseEdbInfoModel == nil {
  380. err = fmt.Errorf("无效计算方式")
  381. errMsg = "无效计算方式,source:" + strconv.Itoa(req.Source)
  382. return
  383. }
  384. sourName = baseEdbInfoModel.GetSourceName()
  385. edbInfo, err, errMsg = baseEdbInfoModel.Add(addParam)
  386. }
  387. if err != nil {
  388. errMsg = "生成" + sourName + "失败 Err:" + err.Error() + errMsg
  389. err = fmt.Errorf("生成" + sourName + "失败")
  390. return
  391. }
  392. if edbInfo == nil {
  393. err = fmt.Errorf("生成" + sourName + "失败")
  394. errMsg = "生成" + sourName + "失败,指标ID错误:" + strconv.Itoa(edbInfoId)
  395. return
  396. }
  397. edbInfoId = edbInfo.EdbInfoId
  398. //处理同名指标
  399. {
  400. edbNameList, tErr := models.GetEdbInfoByName(req.EdbName)
  401. if tErr != nil {
  402. err = fmt.Errorf("保存失败")
  403. errMsg = "获取指标信息失败,Err:" + tErr.Error()
  404. return
  405. }
  406. if len(edbNameList) >= 2 {
  407. for _, v := range edbNameList {
  408. edbName := v.EdbName + "(" + v.SourceName + ")"
  409. err = models.ModifyEdbInfoNameSource(edbName, v.EdbInfoId)
  410. if err != nil {
  411. errMsg = "修改指标名称失败,Err:" + err.Error()
  412. err = fmt.Errorf("保存失败")
  413. return
  414. }
  415. }
  416. }
  417. }
  418. // 更新指标最大最小值
  419. err, errMsg = models.UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo)
  420. if err != nil {
  421. return
  422. }
  423. // 更新ES
  424. go logic.UpdateEs(edbInfo.EdbInfoId)
  425. go DisableEdbInfoNoUpdate(edbInfo)
  426. return
  427. }
  428. // EdbCalculateBatchEdit 批量指标编辑
  429. func EdbCalculateBatchEdit(req models.EdbInfoCalculateBatchEditReq) (edbInfo *models.EdbInfo, uniqueCode string, err error, errMsg string) {
  430. // 校验参数
  431. req.EdbName = strings.Trim(req.EdbName, " ")
  432. if req.EdbName == "" {
  433. err = fmt.Errorf("指标名称不能为空")
  434. return
  435. }
  436. if req.Frequency == "" {
  437. err = fmt.Errorf("频率不能为空")
  438. return
  439. }
  440. if req.Unit == "" {
  441. err = fmt.Errorf("单位不能为空")
  442. return
  443. }
  444. if req.ClassifyId <= 0 {
  445. err = fmt.Errorf("请选择分类")
  446. return
  447. }
  448. if req.EdbInfoId <= 0 {
  449. err = fmt.Errorf("请选择指标")
  450. return
  451. }
  452. //加入缓存机制,避免创建同一个名称的指标 start
  453. redisKey := fmt.Sprint("edb_lib:edb_info:calculate:batch:save:", req.Source, ":", req.EdbName)
  454. isExist := utils.Rc.IsExist(redisKey)
  455. if isExist {
  456. err = fmt.Errorf("指标正在处理,请勿重复提交")
  457. return
  458. } else {
  459. //设置3分钟缓存
  460. utils.Rc.SetNX(redisKey, 1, time.Second*300)
  461. defer func() {
  462. _ = utils.Rc.Delete(redisKey)
  463. }()
  464. }
  465. //加入缓存机制,避免创建同一个名称的指标 end
  466. var condition string
  467. var pars []interface{}
  468. condition += " AND edb_name=? AND edb_info_id<>? "
  469. pars = append(pars, req.EdbName, req.EdbInfoId)
  470. count, err := models.GetEdbInfoCountByCondition(condition, pars)
  471. if err != nil {
  472. err = fmt.Errorf("判断指标名称是否存在失败")
  473. errMsg = "判断指标名称是否存在失败,Err:" + err.Error()
  474. return
  475. }
  476. if count > 0 {
  477. err = fmt.Errorf("指标名称已存在,请重新填写")
  478. errMsg = "指标名称已存在,请重新填写"
  479. return
  480. }
  481. edbInfo, err = models.GetEdbInfoById(req.EdbInfoId)
  482. if err != nil {
  483. if err.Error() == utils.ErrNoRow() {
  484. errMsg = "指标已被删除,请刷新页面:Err:" + err.Error()
  485. err = fmt.Errorf("指标已被删除,请刷新页面")
  486. return
  487. }
  488. errMsg = "获取指标信息失败:Err:" + err.Error()
  489. err = fmt.Errorf("获取指标信息失败")
  490. return
  491. }
  492. // 基础指标id
  493. fromEdbInfoId := req.FromEdbInfoId
  494. if req.Source <= 0 {
  495. req.Source = edbInfo.Source
  496. }
  497. var formulaInt int
  498. var nhccDate models.NhccDate // 拟合残差的日期
  499. // 初期的参数校验
  500. switch req.Source {
  501. case utils.DATA_SOURCE_CALCULATE_NSZYDPJJS, utils.DATA_SOURCE_CALCULATE_HBZ, utils.DATA_SOURCE_CALCULATE_HCZ, utils.DATA_SOURCE_CALCULATE_TIME_SHIFT, utils.DATA_SOURCE_CALCULATE_CJJX:
  502. if req.Formula == "" {
  503. err = fmt.Errorf("请填写N值")
  504. return
  505. }
  506. formulaInt, _ = strconv.Atoi(req.Formula)
  507. if formulaInt <= 0 {
  508. err = fmt.Errorf("N值输入错误,请重新输入")
  509. return
  510. }
  511. case utils.DATA_SOURCE_CALCULATE_ZJPJ:
  512. //直接拼接指标
  513. //校验时间格式
  514. _, err = time.ParseInLocation(utils.FormatDate, req.Formula, time.Local)
  515. if err != nil {
  516. err = fmt.Errorf("拼接日期有误,请重新输入")
  517. return
  518. }
  519. case utils.DATA_SOURCE_CALCULATE_NHCC: //拟合残差指标
  520. //指标校验
  521. if len(req.EdbInfoIdArr) != 2 {
  522. err = fmt.Errorf("选择的指标异常,请重新选择")
  523. return
  524. }
  525. fromEdbInfoId = req.EdbInfoIdArr[0].EdbInfoId
  526. //校验时间格式
  527. //数据格式:2022-11-01,2022-11-10
  528. timeList := strings.Split(req.Formula, ",")
  529. if len(timeList) != 2 {
  530. err = fmt.Errorf("选择时间有误,请重新输入")
  531. return
  532. }
  533. startDate, e := time.ParseInLocation(utils.FormatDate, timeList[0], time.Local)
  534. if e != nil {
  535. err = fmt.Errorf("开始日期有误,请重新输入")
  536. return
  537. }
  538. endDate, e := time.ParseInLocation(utils.FormatDate, timeList[1], time.Local)
  539. if e != nil {
  540. err = fmt.Errorf("结束日期有误,请重新输入")
  541. return
  542. }
  543. if utils.GetTimeSubDay(startDate, endDate) < 2 {
  544. err = fmt.Errorf("日期间隔不得少于两天")
  545. return
  546. }
  547. nhccDate.StartDate = startDate
  548. nhccDate.EndDate = endDate
  549. case utils.DATA_SOURCE_CALCULATE_JP:
  550. if req.Formula != "期末值" && req.Formula != "平均值" {
  551. err = fmt.Errorf("数据取值类型错误:" + req.Formula)
  552. return
  553. }
  554. case utils.DATA_SOURCE_CALCULATE_ZSXY: // 指数修匀
  555. if req.Formula == "" {
  556. err = fmt.Errorf("请填写alpha值")
  557. return
  558. }
  559. a, e := strconv.ParseFloat(req.Formula, 64)
  560. if e != nil {
  561. err = fmt.Errorf("alpha值输入错误, 请重新输入")
  562. return
  563. }
  564. if a <= 0 || a >= 1 {
  565. err = fmt.Errorf("alpha值输入错误, 请重新输入")
  566. return
  567. }
  568. }
  569. // 来源指标
  570. var fromEdbInfo *models.EdbInfo
  571. // 基础指标id
  572. if fromEdbInfoId > 0 {
  573. fromEdbInfo, err = models.GetEdbInfoById(fromEdbInfoId)
  574. if err != nil {
  575. errMsg = "获取指标信息失败:Err:" + err.Error()
  576. err = fmt.Errorf("获取指标信息失败")
  577. return
  578. }
  579. }
  580. var sourName string
  581. var edbInfoId int
  582. var baseEdbInfoModel models.BaseEdbInfoInterface
  583. editParams := models.EditCalculateBatchParams{
  584. Req: &req,
  585. EdbInfo: edbInfo,
  586. FromEdbInfo: fromEdbInfo,
  587. }
  588. switch req.Source {
  589. case utils.DATA_SOURCE_CALCULATE_LJZZY:
  590. sourName = "累计值转月值"
  591. if fromEdbInfo.Frequency != "月度" {
  592. err = fmt.Errorf("请选择月度指标")
  593. return
  594. }
  595. err = models.EditCalculateLjzzy(edbInfo, &req, fromEdbInfo)
  596. case utils.DATA_SOURCE_CALCULATE_TBZ:
  597. sourName = "同比值"
  598. err = models.EditCalculateTbz(edbInfo, &req, fromEdbInfo)
  599. case utils.DATA_SOURCE_CALCULATE_TCZ:
  600. fmt.Println("start edit", time.Now())
  601. sourName = "同差值"
  602. err = models.EditCalculateTcz(edbInfo, &req, fromEdbInfo)
  603. fmt.Println("end edit", time.Now())
  604. case utils.DATA_SOURCE_CALCULATE_NSZYDPJJS:
  605. sourName = "N数值移动平均计算"
  606. err = models.EditCalculateNszydpjjs(edbInfo, &req, fromEdbInfo, formulaInt, edbInfo.CalculateFormula)
  607. case utils.DATA_SOURCE_CALCULATE_HBZ:
  608. checkCount, tmpErr := models.GetLteZeroEdbDataCount(fromEdbInfo.Source, fromEdbInfo.SubSource, req.FromEdbInfoId)
  609. if tmpErr != nil && tmpErr.Error() != utils.ErrNoRow() {
  610. errMsg = "判断环比值是否可计算失败,Err:" + tmpErr.Error()
  611. err = fmt.Errorf("判断环比值是否可计算失败")
  612. return
  613. }
  614. if checkCount > 0 {
  615. err = fmt.Errorf("原始数据中存在0或负数,该指标不能进行环比运算")
  616. 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"
  617. return
  618. }
  619. sourName = "环比值"
  620. err = models.EditCalculateHbz(edbInfo, &req, fromEdbInfo, formulaInt, edbInfo.CalculateFormula)
  621. case utils.DATA_SOURCE_CALCULATE_HCZ:
  622. sourName = "环差值"
  623. err = models.EditCalculateHcz(edbInfo, &req, fromEdbInfo, formulaInt, edbInfo.CalculateFormula)
  624. case utils.DATA_SOURCE_CALCULATE_BP:
  625. sourName = utils.DATA_SOURCE_NAME_CALCULATE_BP
  626. err = models.EditCalculateBp(edbInfo, &req, fromEdbInfo)
  627. case utils.DATA_SOURCE_CALCULATE_TIME_SHIFT:
  628. sourName = "时间移位"
  629. err = models.EditCalculateTimeShift(edbInfo, &req, fromEdbInfo)
  630. case utils.DATA_SOURCE_CALCULATE_ZJPJ:
  631. sourName = "直接拼接"
  632. if len(req.EdbInfoIdArr) != 1 {
  633. err = fmt.Errorf("请传入拼接日期之后的指标")
  634. errMsg = "请传入拼接日期之后的指标"
  635. return
  636. }
  637. secondEdbInfoReq := req.EdbInfoIdArr[0]
  638. secondEdbInfo, tmpErr := models.GetEdbInfoById(secondEdbInfoReq.EdbInfoId)
  639. if tmpErr != nil {
  640. errMsg = "获取拼接日期之后的指标信息失败:Err:" + tmpErr.Error()
  641. err = fmt.Errorf("获取拼接日期之后的指标信息失败")
  642. return
  643. }
  644. if fromEdbInfo.EdbInfoId == secondEdbInfo.EdbInfoId {
  645. err = fmt.Errorf("两个指标不允许为同一个")
  646. errMsg = "两个指标不允许为同一个"
  647. return
  648. }
  649. err = models.EditCalculateZjpj(&req, edbInfo, fromEdbInfo, secondEdbInfo)
  650. case utils.DATA_SOURCE_CALCULATE_LJZTBPJ: //累计值同比拼接
  651. sourName = "累计值同比拼接"
  652. if fromEdbInfo.Frequency != "月度" {
  653. errMsg = "待拼接指标只能筛选月度指标"
  654. err = fmt.Errorf("待拼接指标只能筛选月度指标")
  655. return
  656. }
  657. if len(req.EdbInfoIdArr) != 1 {
  658. errMsg = "请传入同比值指标"
  659. err = fmt.Errorf("请传入同比值指标")
  660. return
  661. }
  662. secondEdbInfoReq := req.EdbInfoIdArr[0]
  663. tbzEdbInfo, tmpErr := models.GetEdbInfoById(secondEdbInfoReq.EdbInfoId)
  664. if tmpErr != nil {
  665. errMsg = "获取同比值指标信息失败:Err:" + tmpErr.Error()
  666. err = fmt.Errorf("获取同比值指标信息失败")
  667. return
  668. }
  669. if tbzEdbInfo.Source != utils.DATA_SOURCE_CALCULATE_TBZ {
  670. err = fmt.Errorf("指标必须是传入同比值指标类型")
  671. errMsg = "指标必须是传入同比值指标类型"
  672. return
  673. }
  674. if tbzEdbInfo.Frequency != "月度" {
  675. err = fmt.Errorf("同比值指标只能筛选月度指标")
  676. errMsg = "同比值指标只能筛选月度指标"
  677. return
  678. }
  679. if fromEdbInfo.EdbInfoId == tbzEdbInfo.EdbInfoId {
  680. err = fmt.Errorf("两个指标不允许为同一个")
  681. errMsg = "两个指标不允许为同一个"
  682. return
  683. }
  684. err = models.EditCalculateLjztbpj(&req, edbInfo, fromEdbInfo, tbzEdbInfo)
  685. case utils.DATA_SOURCE_CALCULATE_CJJX:
  686. sourName = "超季节性"
  687. err = models.EditCalculateCjjx(&req, edbInfo, fromEdbInfo, formulaInt)
  688. case utils.DATA_SOURCE_CALCULATE_NHCC:
  689. sourName = "拟合残差"
  690. secondEdbInfoReq := req.EdbInfoIdArr[1]
  691. secondEdbInfo, tmpErr := models.GetEdbInfoById(secondEdbInfoReq.EdbInfoId)
  692. if tmpErr != nil {
  693. errMsg = "获取因变量的指标信息失败:Err:" + tmpErr.Error()
  694. err = fmt.Errorf("获取因变量的指标信息失败")
  695. return
  696. }
  697. if fromEdbInfo.EdbInfoId == secondEdbInfo.EdbInfoId {
  698. err = fmt.Errorf("两个指标不允许为同一个")
  699. errMsg = "两个指标不允许为同一个"
  700. return
  701. }
  702. err, errMsg = models.EditCalculateNhcc(&req, edbInfo, fromEdbInfo, secondEdbInfo, nhccDate)
  703. case utils.DATA_SOURCE_CALCULATE_JP:
  704. if !models.CheckFrequency(fromEdbInfo.Frequency, req.Frequency) {
  705. err = fmt.Errorf("频度异常,不允许低频降频到高频")
  706. return
  707. }
  708. sourName = utils.DATA_SOURCE_NAME_CALCULATE_JP
  709. err = models.EditCalculateJp(edbInfo, &req, fromEdbInfo)
  710. case utils.DATA_SOURCE_CALCULATE_NH:
  711. sourName = utils.DATA_SOURCE_NAME_CALCULATE_NH
  712. err = models.EditCalculateNh(edbInfo, &req, fromEdbInfo)
  713. case utils.DATA_SOURCE_CALCULATE_KSZS:
  714. //关联的指标信息
  715. if len(req.EdbInfoIdArr) < 2 {
  716. err = fmt.Errorf("指标数量不能小于2个,请重新选择")
  717. errMsg = "指标数量不能小于2个,请重新选择"
  718. //br.IsSendEmail = false
  719. return
  720. }
  721. sourName = utils.DATA_SOURCE_NAME_CALCULATE_KSZS
  722. err = models.EditCalculateKszs(edbInfo, &req)
  723. case utils.DATA_SOURCE_CALCULATE_CORRELATION:
  724. //关联的指标信息
  725. if len(req.EdbInfoIdArr) < 2 {
  726. err = fmt.Errorf("指标数量不能小于2个,请重新选择")
  727. errMsg = "指标数量不能小于2个,请重新选择"
  728. //br.IsSendEmail = false
  729. return
  730. }
  731. sourName = utils.DATA_SOURCE_NAME_CALCULATE_CORRELATION
  732. err, errMsg = models.EditCalculateCorrelation(edbInfo, &req)
  733. case utils.DATA_SOURCE_CALCULATE_RJZ:
  734. if req.Frequency == "日度" {
  735. err = fmt.Errorf("日度指标无需进行日均值计算")
  736. return
  737. }
  738. if req.Frequency != fromEdbInfo.Frequency {
  739. err = fmt.Errorf("当前频度和原指标频度不一致")
  740. return
  741. }
  742. if req.Unit != fromEdbInfo.Unit {
  743. err = fmt.Errorf("单位只允许为和原指标频度保持一致,禁止选择其他单位")
  744. return
  745. }
  746. sourName = "日均值"
  747. err = models.EditCalculateRjz(edbInfo, &req, fromEdbInfo)
  748. default:
  749. // 获取通用的数据源处理服务
  750. baseEdbInfoModel = models.GetBaseEdbInfoModel(req.Source)
  751. // 没有找到的话,那么就直接返回报错吧
  752. if baseEdbInfoModel == nil {
  753. err = fmt.Errorf("无效计算方式")
  754. errMsg = "无效计算方式,source:" + strconv.Itoa(req.Source)
  755. return
  756. }
  757. sourName = baseEdbInfoModel.GetSourceName()
  758. err, errMsg = baseEdbInfoModel.Edit(editParams)
  759. }
  760. if err != nil {
  761. errMsg = "生成" + sourName + "失败 Err:" + err.Error() + errMsg
  762. err = fmt.Errorf("生成" + sourName + "失败")
  763. return
  764. }
  765. if edbInfo == nil {
  766. err = fmt.Errorf("生成" + sourName + "失败")
  767. errMsg = "生成" + sourName + "失败,指标ID错误:" + strconv.Itoa(edbInfoId)
  768. return
  769. }
  770. edbInfoId = edbInfo.EdbInfoId
  771. uniqueCode = edbInfo.UniqueCode
  772. //处理同名指标
  773. {
  774. edbNameList, tErr := models.GetEdbInfoByName(req.EdbName)
  775. if tErr != nil {
  776. err = fmt.Errorf("保存失败")
  777. errMsg = "获取指标信息失败,Err:" + tErr.Error()
  778. return
  779. }
  780. if len(edbNameList) >= 2 {
  781. for _, v := range edbNameList {
  782. edbName := v.EdbName + "(" + v.SourceName + ")"
  783. err = models.ModifyEdbInfoNameSource(edbName, v.EdbInfoId)
  784. if err != nil {
  785. errMsg = "修改指标名称失败,Err:" + err.Error()
  786. err = fmt.Errorf("保存失败")
  787. return
  788. }
  789. }
  790. }
  791. }
  792. // 更新指标最大最小值
  793. err, errMsg = models.UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo)
  794. if err != nil {
  795. return
  796. }
  797. // 更新ES
  798. go logic.UpdateEs(edbInfo.EdbInfoId)
  799. // 重置计算指标中的引用关系
  800. go ResetEdbRelation(edbInfoId)
  801. return
  802. }
  803. // EdbCalculateAdd 新增指标运算
  804. func EdbCalculateAdd(req models.EdbInfoCalculateSaveReq, lang string) (edbInfo *models.EdbInfo, uniqueCode string, err error, errMsg string) {
  805. calculateFormula := req.CalculateFormula
  806. calculateFormula = strings.Replace(calculateFormula, "(", "(", -1)
  807. calculateFormula = strings.Replace(calculateFormula, ")", ")", -1)
  808. calculateFormula = strings.Replace(calculateFormula, ",", ",", -1)
  809. calculateFormula = strings.Replace(calculateFormula, "。", ".", -1)
  810. calculateFormula = strings.Replace(calculateFormula, "%", "*0.01", -1)
  811. req.CalculateFormula = calculateFormula
  812. //判断是否重复指标
  813. edbInfoMap := make(map[int]string)
  814. //移除研究员选择指标中的未使用的指标
  815. {
  816. //转大写的计算公式
  817. upperCalculateFormulaStr := strings.ToUpper(req.CalculateFormula)
  818. //用到的指标
  819. newEdbInfoIdArr := make([]models.EdbInfoFromTag, 0)
  820. for _, tmpEdbInfo := range req.EdbInfoIdArr {
  821. _, ok := edbInfoMap[tmpEdbInfo.EdbInfoId]
  822. if ok {
  823. err = fmt.Errorf("选择指标失败,请勿选择重复指标!")
  824. return
  825. }
  826. edbInfoMap[tmpEdbInfo.EdbInfoId] = tmpEdbInfo.FromTag
  827. upperFromTag := strings.ToUpper(tmpEdbInfo.FromTag)
  828. if strings.Contains(upperCalculateFormulaStr, upperFromTag) {
  829. newEdbInfoIdArr = append(newEdbInfoIdArr, tmpEdbInfo)
  830. }
  831. }
  832. req.EdbInfoIdArr = newEdbInfoIdArr
  833. }
  834. // 校验指标名称是否存在
  835. existEdbName, err := logic.CheckExistByEdbNameAndEdbInfoId(0, 0, req.EdbName, lang)
  836. if err != nil {
  837. errMsg = "判断指标名称是否存在失败,Err:" + err.Error()
  838. err = fmt.Errorf("判断指标名称是否存在失败")
  839. return
  840. }
  841. if existEdbName {
  842. errMsg = "指标名称已存在,请重新填写"
  843. err = fmt.Errorf(errMsg)
  844. //br.IsSendEmail = false
  845. return
  846. }
  847. //检验公式
  848. var formulaStr string
  849. var edbInfoIdBytes []string
  850. for _, v := range req.EdbInfoIdArr {
  851. formulaStr += v.FromTag + ","
  852. edbInfoIdBytes = append(edbInfoIdBytes, v.FromTag)
  853. }
  854. formulaSlice, err := utils.CheckFormulaJson(req.CalculateFormula)
  855. if err != nil {
  856. err = fmt.Errorf("公式格式错误,请重新填写")
  857. return
  858. }
  859. for _, formula := range formulaSlice {
  860. formulaMap, e := utils.CheckFormula(formula)
  861. if e != nil {
  862. err = fmt.Errorf("公式错误,请重新填写")
  863. return
  864. }
  865. for _, v := range formulaMap {
  866. if !strings.Contains(formulaStr, v) {
  867. err = fmt.Errorf("公式错误,请重新填写")
  868. return
  869. }
  870. }
  871. }
  872. //关联的指标信息
  873. edbInfoList := make([]*models.EdbInfo, 0)
  874. //关联的指标数据表
  875. calculateMappingList := make([]*models.EdbInfoCalculateMapping, 0)
  876. for k, v := range req.EdbInfoIdArr {
  877. fromEdbInfo, e := models.GetEdbInfoById(v.EdbInfoId)
  878. if e != nil {
  879. if e.Error() == utils.ErrNoRow() {
  880. err = fmt.Errorf("生成计算指标失败")
  881. errMsg = "指标 " + strconv.Itoa(v.EdbInfoId) + " 不存在"
  882. return
  883. }
  884. err = fmt.Errorf("生成计算指标失败")
  885. errMsg = "获取指标失败:Err:" + e.Error()
  886. return
  887. }
  888. edbInfoList = append(edbInfoList, fromEdbInfo)
  889. //关联关系表
  890. {
  891. calculateMappingItem := &models.EdbInfoCalculateMapping{
  892. EdbInfoCalculateMappingId: 0,
  893. EdbInfoId: 0,
  894. Source: utils.DATA_SOURCE_CALCULATE,
  895. SourceName: "指标运算",
  896. EdbCode: "",
  897. FromEdbInfoId: fromEdbInfo.EdbInfoId,
  898. FromEdbCode: fromEdbInfo.EdbCode,
  899. FromEdbName: fromEdbInfo.EdbName,
  900. FromSource: fromEdbInfo.Source,
  901. FromSourceName: fromEdbInfo.SourceName,
  902. FromTag: v.FromTag,
  903. Sort: k + 1,
  904. CreateTime: time.Now(),
  905. ModifyTime: time.Now(),
  906. }
  907. //calculateMappingItem.EdbCode = edbCode
  908. //calculateMappingItem.EdbInfoId = int(edbInfoId)
  909. calculateMappingList = append(calculateMappingList, calculateMappingItem)
  910. }
  911. }
  912. for _, v := range formulaSlice {
  913. formulaMap, e := utils.CheckFormula(v)
  914. if e != nil {
  915. err = fmt.Errorf("公式错误,请重新填写")
  916. return
  917. }
  918. //预先计算,判断公式是否正常
  919. ok, _ := models.CheckFormula2(edbInfoList, formulaMap, v, edbInfoIdBytes)
  920. if !ok {
  921. err = fmt.Errorf("生成计算指标失败,请使用正确的计算公式")
  922. return
  923. }
  924. }
  925. //生成指标编码
  926. edbCode, err := utils.GenerateEdbCode(1, "")
  927. if err != nil {
  928. errMsg = "生成计算指标失败,AddEdbInfo Err:" + err.Error()
  929. err = fmt.Errorf("指标编码生成失败,Err:" + err.Error())
  930. return
  931. }
  932. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  933. uniqueCode = utils.MD5(utils.DATA_PREFIX + "_" + timestamp)
  934. // 新增计算指标
  935. edbInfo, err = models.AddCalculateInfo(req, calculateMappingList, edbInfoList, edbCode, uniqueCode, edbInfoIdBytes)
  936. if err != nil {
  937. errMsg = "生成计算指标失败,AddEdbInfo Err:" + err.Error()
  938. err = fmt.Errorf("生成计算指标失败")
  939. return
  940. }
  941. go DisableEdbInfoNoUpdate(edbInfo)
  942. return
  943. }
  944. // StepCalculate 多公式计算
  945. func StepCalculate(dataList []*models.EdbInfoSearchData, calculates []models.CalculatesReq) (resultData map[string]float64, dates []string, errMsg string, err error) {
  946. sort.Slice(calculates, func(i, j int) bool {
  947. return calculates[i].Sort < calculates[j].Sort
  948. })
  949. originData, e := models.EdbInfoSearchDataToData(dataList)
  950. if e != nil {
  951. err = fmt.Errorf("基础数据转换异常, err: %v", e)
  952. return
  953. }
  954. calculateData := originData
  955. dateDataMap := make(map[time.Time]float64)
  956. for _, v := range calculates {
  957. baseCalculate := models.BaseCalculate{
  958. DataList: calculateData,
  959. Frequency: v.Frequency,
  960. Formula: v.Formula,
  961. Calendar: v.Calendar,
  962. MoveType: v.MoveType,
  963. MoveFrequency: v.MoveFrequency,
  964. FromFrequency: v.FromFrequency,
  965. Source: v.Source,
  966. }
  967. // 计算方式
  968. switch baseCalculate.Source {
  969. case utils.EdbBaseCalculateLjzzy:
  970. dateDataMap, e, errMsg = baseCalculate.Ljzzy()
  971. case utils.EdbBaseCalculateLjzzj:
  972. dateDataMap, e, errMsg = baseCalculate.Ljzzj()
  973. case utils.EdbBaseCalculateTbz:
  974. dateDataMap, e, errMsg = baseCalculate.Tbz()
  975. case utils.EdbBaseCalculateTcz:
  976. dateDataMap, e, errMsg = baseCalculate.Tcz()
  977. case utils.EdbBaseCalculateNszydpjjs:
  978. dateDataMap, e, errMsg = baseCalculate.Nszydpjjs()
  979. case utils.EdbBaseCalculateHbz:
  980. dateDataMap, e, errMsg = baseCalculate.Hbz()
  981. case utils.EdbBaseCalculateHcz:
  982. dateDataMap, e, errMsg = baseCalculate.Hcz()
  983. case utils.EdbBaseCalculateUpFrequency:
  984. dateDataMap, e, errMsg = baseCalculate.UpFrequency()
  985. case utils.EdbBaseCalculateDownFrequency:
  986. dateDataMap, e, errMsg = baseCalculate.DownFrequency()
  987. case utils.EdbBaseCalculateTimeShift:
  988. dateDataMap, e, errMsg = baseCalculate.TimeShift()
  989. case utils.EdbBaseCalculateCjjx:
  990. dateDataMap, e, errMsg = baseCalculate.Cjjx()
  991. case utils.EdbBaseCalculateAnnualized:
  992. dateDataMap, e, errMsg = baseCalculate.Annualized()
  993. case utils.EdbBaseCalculateLjz:
  994. dateDataMap, e, errMsg = baseCalculate.Ljz()
  995. case utils.EdbBaseCalculateLjzNczj:
  996. dateDataMap, e, errMsg = baseCalculate.LjzNczj()
  997. case utils.EdbBaseCalculateExponentialSmoothing:
  998. dateDataMap, e, errMsg = baseCalculate.ExponentialSmoothing()
  999. case utils.EdbBaseCalculateRjz:
  1000. dateDataMap, e, errMsg = baseCalculate.Rjz()
  1001. default:
  1002. errMsg = "计算方式无效"
  1003. e = fmt.Errorf("%s:%d", errMsg, baseCalculate.Source)
  1004. }
  1005. if e != nil {
  1006. err = fmt.Errorf("计算失败, err: %v", e)
  1007. return
  1008. }
  1009. calculateData = models.TransDateData2EdbData(dateDataMap)
  1010. }
  1011. resultData, dates = models.GetDateDataAndDateList(dateDataMap)
  1012. //resp.DataMap = resultData
  1013. //resp.DateList = dates
  1014. return
  1015. }