base_predict_from_calculate.go 20 KB

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  1. package models
  2. import (
  3. "encoding/json"
  4. "errors"
  5. "eta/eta_index_lib/global"
  6. "eta/eta_index_lib/utils"
  7. "fmt"
  8. "github.com/dengsgo/math-engine/engine"
  9. "github.com/shopspring/decimal"
  10. "gorm.io/gorm"
  11. "strconv"
  12. "strings"
  13. "time"
  14. )
  15. // PredictEdbInfoCalculateSaveReq 预测计算(运算)指标请求参数
  16. type PredictEdbInfoCalculateSaveReq struct {
  17. AdminId int `description:"添加人id"`
  18. AdminName string `description:"添加人名称"`
  19. EdbName string `description:"指标名称"`
  20. Frequency string `description:"频率"`
  21. Unit string `description:"单位"`
  22. ClassifyId int `description:"分类id"`
  23. CalculateFormula string `description:"计算公式"`
  24. EdbInfoIdArr []struct {
  25. EdbInfoId int `description:"指标id"`
  26. FromTag string `description:"指标对应标签"`
  27. }
  28. }
  29. // PredictCalculateItems 预测计算(运算)指标信息
  30. type PredictCalculateItems struct {
  31. EdbInfoId int
  32. DataMap map[string]float64
  33. }
  34. // EditPredictCalculate 新增预测计算(运算)指标
  35. func EditPredictCalculate(edbInfo *EdbInfo, calculateMappingList []*EdbInfoCalculateMapping) (err error) {
  36. //o := orm.NewOrm()
  37. //to, err := o.Begin()
  38. to := global.DEFAULT_DB.Begin()
  39. if err != nil {
  40. return
  41. }
  42. defer func() {
  43. if err != nil {
  44. tmpErr := to.Rollback().Error
  45. errMsg := fmt.Sprintf("AddPredictCalculate Err:%s" + err.Error())
  46. if tmpErr != nil {
  47. errMsg += `;rollback失败:` + tmpErr.Error()
  48. }
  49. utils.FileLog.Info(errMsg)
  50. return
  51. }
  52. tmpErr := to.Commit().Error
  53. if tmpErr != nil {
  54. errMsg := fmt.Sprintf("AddPredictCalculate commit Err:%s" + tmpErr.Error())
  55. utils.FileLog.Info(errMsg)
  56. }
  57. }()
  58. // 修改指标信息
  59. //_, err = to.Update(edbInfo, "EdbName", "Frequency", "Unit", "ClassifyId", "CalculateFormula", "EmptyType", "MaxEmptyType", "Extra", "EdbNameEn", "UnitEn")
  60. err = to.Model(&edbInfo).Select([]string{"EdbName", "Frequency", "Unit", "ClassifyId", "CalculateFormula", "EmptyType", "MaxEmptyType", "Extra", "EdbNameEn", "UnitEn"}).Updates(&edbInfo).Error
  61. if err != nil {
  62. return
  63. }
  64. //删除,计算指标关联的,基础指标的关联关系
  65. sql := ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id = ? `
  66. //_, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  67. err = to.Exec(sql, edbInfo.EdbInfoId).Error
  68. if err != nil {
  69. err = errors.New("删除计算指标关联关系失败,Err:" + err.Error())
  70. return
  71. }
  72. // 插入新的关系表
  73. if len(calculateMappingList) > 0 {
  74. //_, err = to.InsertMulti(len(calculateMappingList), calculateMappingList)
  75. err = to.CreateInBatches(&calculateMappingList, len(calculateMappingList)).Error
  76. }
  77. //数据表
  78. tableName := GetEdbDataTableName(edbInfo.Source, edbInfo.SubSource)
  79. //清空原有数据
  80. sql = ` DELETE FROM ` + tableName + ` WHERE edb_info_id = ? `
  81. //_, err = o.Raw(sql, edbInfo.EdbInfoId).Exec()
  82. err = to.Exec(sql, edbInfo.EdbInfoId).Error
  83. if err != nil {
  84. return
  85. }
  86. return
  87. }
  88. // AddPredictCalculateData 新增预测计算(运算)指标的数据
  89. //func AddPredictCalculateDataBak(edbInfoIdList []*EdbInfo, edbInfoId int, edbCode, formulaStr string, edbInfoIdBytes []string) (latestDateStr string, latestValue float64, err error) {
  90. // o := orm.NewOrm()
  91. // defer func() {
  92. // if err != nil {
  93. // utils.FileLog.Info(fmt.Sprintf("Calculate Err:%s" + err.Error()))
  94. // }
  95. // }()
  96. //
  97. // var minLatestDate time.Time
  98. // oldSaveDataMap := make(map[string]map[int]float64)
  99. // saveDataMap := make(map[string]map[int]float64)
  100. // dateList := make([]string, 0)
  101. //
  102. // for edbInfoIndex, v := range edbInfoIdList {
  103. // tmpLatestDate, tmpErr := time.ParseInLocation(utils.FormatDate, v.LatestDate, time.Local)
  104. // if tmpErr != nil {
  105. // err = errors.New(`最近的日期格式化失败;日期:` + v.LatestDate + `;err:` + tmpErr.Error())
  106. // return
  107. // }
  108. // // 如果不存在最小的真实数据日期,那么将当前指标的真实数据日期给赋值;
  109. // // 如果存在最小的真实数据日期,同时当前指标的真实数据日期 早于 最小的真实数据日期, 那么将当前指标的真实数据日期给赋值;
  110. // if minLatestDate.IsZero() || tmpLatestDate.Before(minLatestDate) {
  111. // minLatestDate = tmpLatestDate
  112. // }
  113. //
  114. // dataList, tmpErr := GetPredictEdbDataListAll(v, 1)
  115. // if tmpErr != nil {
  116. // err = tmpErr
  117. // return
  118. // }
  119. // dataMap := make(map[string]float64)
  120. // for _, dv := range dataList {
  121. // // 现有实际数据
  122. // if val, ok := oldSaveDataMap[dv.DataTime]; ok {
  123. // if _, ok := val[v.EdbInfoId]; !ok {
  124. // val[v.EdbInfoId] = dv.Value
  125. // }
  126. // } else {
  127. // temp := make(map[int]float64)
  128. // temp[v.EdbInfoId] = dv.Value
  129. // oldSaveDataMap[dv.DataTime] = temp
  130. // }
  131. //
  132. // // 待处理的数据
  133. // if val, ok := saveDataMap[dv.DataTime]; ok {
  134. // if _, ok := val[v.EdbInfoId]; !ok {
  135. // val[v.EdbInfoId] = dv.Value
  136. // }
  137. // } else {
  138. // temp := make(map[int]float64)
  139. // temp[v.EdbInfoId] = dv.Value
  140. // saveDataMap[dv.DataTime] = temp
  141. // }
  142. //
  143. // // 以第一个指标的日期作为基准日期
  144. // if edbInfoIndex == 0 {
  145. // dateList = append(dateList, dv.DataTime)
  146. // }
  147. // }
  148. // item := new(PredictCalculateItems)
  149. // item.EdbInfoId = v.EdbInfoId
  150. // item.DataMap = dataMap
  151. // }
  152. //
  153. // //数据处理,将日期内不全的数据做补全
  154. // handleDateSaveDataMap(dateList, oldSaveDataMap, saveDataMap, edbInfoIdList)
  155. //
  156. // formulaMap := utils.CheckFormula(formulaStr)
  157. // addSql := ` INSERT INTO edb_data_predict_calculate (edb_info_id,edb_code,data_time,value,create_time,modify_time,data_timestamp) values `
  158. // nowStr := time.Now().Format(utils.FormatDateTime)
  159. // var isAdd bool
  160. //
  161. // if !minLatestDate.IsZero() {
  162. // latestDateStr = minLatestDate.Format(utils.FormatDate)
  163. // }
  164. // for sk, sv := range saveDataMap {
  165. // formulaStr = strings.ToUpper(formulaStr)
  166. // formulaFormStr := ReplaceFormula(edbInfoIdList, sv, formulaMap, formulaStr, edbInfoIdBytes)
  167. // if formulaStr == "" {
  168. // return
  169. // }
  170. // if formulaFormStr != "" {
  171. // expression := formula.NewExpression(formulaFormStr)
  172. // calResult, tmpErr := expression.Evaluate()
  173. // if tmpErr != nil {
  174. // err = errors.New("计算失败:Err:" + tmpErr.Error() + ";formulaStr:" + formulaFormStr)
  175. // fmt.Println(err)
  176. // return
  177. // }
  178. // calVal, tmpErr := calResult.Float64()
  179. // if tmpErr != nil {
  180. // err = errors.New("计算失败:获取计算值失败 Err:" + tmpErr.Error() + ";formulaStr:" + formulaFormStr)
  181. // fmt.Println(err)
  182. // return
  183. // }
  184. //
  185. // //需要存入的数据
  186. // {
  187. // if latestDateStr == sk {
  188. // nanCheck := fmt.Sprintf("%0.f", calVal)
  189. // // 分母为0.0的报错
  190. // if nanCheck == "NaN" || nanCheck == "+Inf" || nanCheck == "-Inf" {
  191. // err = errors.New("计算失败 分母为0:Err: formulaStr:" + formulaFormStr)
  192. // fmt.Println(err)
  193. // return
  194. // }
  195. // latestValue, _ = decimal.NewFromFloat(calVal).Truncate(4).Float64() //保留4位小数
  196. // }
  197. // dataTime, _ := time.ParseInLocation(utils.FormatDate, sk, time.Local)
  198. // timestamp := dataTime.UnixNano() / 1e6
  199. // timeStr := fmt.Sprintf("%d", timestamp)
  200. // addSql += "("
  201. // addSql += strconv.Itoa(edbInfoId) + "," + "'" + edbCode + "'" + "," + "'" + sk + "'" + "," + utils.SubFloatToString(calVal, 4) + "," + "'" + nowStr + "'" +
  202. // "," + "'" + nowStr + "'" + "," + "'" + timeStr + "'"
  203. // addSql += "),"
  204. // isAdd = true
  205. // }
  206. // } else {
  207. // fmt.Println("formulaFormStr is empty")
  208. // }
  209. // }
  210. // if isAdd {
  211. // addSql = strings.TrimRight(addSql, ",")
  212. // _, err = o.Raw(addSql).Exec()
  213. // if err != nil {
  214. // fmt.Println("AddPredictCalculate Err:" + err.Error())
  215. // //errMsg = " tx.Exec Err :" + err.Error()
  216. // return
  217. // }
  218. // }
  219. // return
  220. //}
  221. func AddPredictCalculateData(edbInfoIdList []*EdbInfo, edbInfoTag map[string]int, edbInfo *EdbInfo, edbCode, formulaStr string, edbInfoIdBytes []string) (latestDateStr string, latestValue float64, err error) {
  222. //o := orm.NewOrm()
  223. //to, err := o.Begin()
  224. to := global.DEFAULT_DB.Begin()
  225. if err != nil {
  226. return
  227. }
  228. defer func() {
  229. if err != nil {
  230. fmt.Println("AddPredictCalculateData Calculate,Err:" + err.Error())
  231. _ = to.Rollback()
  232. } else {
  233. _ = to.Commit()
  234. }
  235. }()
  236. latestDateStr, latestValue, err = refreshAllPredictCalculate(to, edbInfoIdList, edbInfoTag, edbInfo.EdbInfoId, edbInfo.Source, edbInfo.SubSource, edbCode, formulaStr, "", edbInfoIdBytes, edbInfo.EmptyType, edbInfo.MaxEmptyType, edbInfo.Extra)
  237. return
  238. }
  239. // RefreshAllPredictCalculate 刷新预测计算指标的全部数据
  240. func RefreshAllPredictCalculate(edbInfoIdList []*EdbInfo, edbInfoTag map[string]int, edbInfoId, source, subSource int, edbCode, formulaStr, startDate string, edbInfoIdBytes []string, emptyType, maxEmptyType int, extra string) (latestDateStr string, latestValue float64, err error) {
  241. //o := orm.NewOrm()
  242. //to, err := o.Begin()
  243. to := global.DEFAULT_DB.Begin()
  244. if err != nil {
  245. return
  246. }
  247. defer func() {
  248. if err != nil {
  249. fmt.Println("RefreshAllCalculate,Err:" + err.Error())
  250. _ = to.Rollback()
  251. } else {
  252. _ = to.Commit()
  253. }
  254. }()
  255. latestDateStr, latestValue, err = refreshAllPredictCalculate(to, edbInfoIdList, edbInfoTag, edbInfoId, source, subSource, edbCode, formulaStr, startDate, edbInfoIdBytes, emptyType, maxEmptyType, extra)
  256. return
  257. }
  258. // refreshAllPredictCalculate 刷新预测计算指标的全部数据
  259. func refreshAllPredictCalculate(to *gorm.DB, edbInfoIdList []*EdbInfo, edbInfoTag map[string]int, edbInfoId, source, subSource int, edbCode, formulaStr, startDate string, edbInfoIdBytes []string, emptyType, maxEmptyType int, extra string) (latestDateStr string, latestValue float64, err error) {
  260. fmt.Println("startDate:", startDate)
  261. // 最小的结束日期 , 最晚的数据开始日期
  262. var newLatestDate, minLatestDate, maxStartDate time.Time
  263. dateList := make([]string, 0) // 第一个指标的日期数据
  264. realSaveDataMap := make(map[string]map[int]float64)
  265. saveDataMap := make(map[string]map[int]float64)
  266. dateMap := make(map[string]struct{}) // 最终的日期数据
  267. dateTagConfig := ""
  268. if extra != "" {
  269. var dateConfig CalculateEdbExtra
  270. err = json.Unmarshal([]byte(extra), &dateConfig)
  271. if err != nil {
  272. err = fmt.Errorf("refreshAllCalculate,extra解析失败,Err:%s", err.Error())
  273. return
  274. }
  275. dateTagConfig = dateConfig.DateTag
  276. }
  277. for edbInfoIndex, v := range edbInfoIdList {
  278. // 单独存储max、min函数里的指标的数据
  279. tmpNewLatestDate, tmpErr := time.ParseInLocation(utils.FormatDate, v.LatestDate, time.Local)
  280. if tmpErr != nil {
  281. err = errors.New(`最近的日期格式化失败;日期:` + v.LatestDate + `;err:` + tmpErr.Error())
  282. return
  283. }
  284. if newLatestDate.IsZero() || tmpNewLatestDate.Before(newLatestDate) {
  285. newLatestDate = tmpNewLatestDate
  286. }
  287. /*tmpStartDate, tmpErr := time.ParseInLocation(utils.FormatDate, v.StartDate, time.Local)
  288. if tmpErr != nil {
  289. err = errors.New(`最近的日期格式化失败;日期:` + v.StartDate + `;err:` + tmpErr.Error())
  290. return
  291. }
  292. if maxStartDate.IsZero() || maxStartDate.Before(tmpStartDate) {
  293. maxStartDate = tmpStartDate
  294. }*/
  295. // 获取关联指标数据
  296. dataList, tmpErr := GetPredictEdbDataListAllByStartDate(v, 1, startDate)
  297. if tmpErr != nil {
  298. err = tmpErr
  299. return
  300. }
  301. for _, dv := range dataList { // 现有实际数据
  302. if val, ok := realSaveDataMap[dv.DataTime]; ok {
  303. if _, ok := val[v.EdbInfoId]; !ok {
  304. val[v.EdbInfoId] = dv.Value
  305. }
  306. } else {
  307. temp := make(map[int]float64)
  308. temp[v.EdbInfoId] = dv.Value
  309. realSaveDataMap[dv.DataTime] = temp
  310. }
  311. // 待处理的数据
  312. if val, ok := saveDataMap[dv.DataTime]; ok {
  313. if _, ok := val[v.EdbInfoId]; !ok {
  314. val[v.EdbInfoId] = dv.Value
  315. }
  316. } else {
  317. temp := make(map[int]float64)
  318. temp[v.EdbInfoId] = dv.Value
  319. saveDataMap[dv.DataTime] = temp
  320. }
  321. if dateTagConfig == "all" {
  322. if _, ok := dateMap[dv.DataTime]; !ok {
  323. dateList = append(dateList, dv.DataTime)
  324. dateMap[dv.DataTime] = struct{}{}
  325. }
  326. } else if dateTagConfig == "" { // 默认取第一个指标的时间序列
  327. if edbInfoIndex == 0 {
  328. if _, ok := dateMap[dv.DataTime]; !ok {
  329. dateList = append(dateList, dv.DataTime)
  330. dateMap[dv.DataTime] = struct{}{}
  331. }
  332. }
  333. } else {
  334. if eId, ok := edbInfoTag[dateTagConfig]; ok {
  335. if v.EdbInfoId == eId {
  336. if _, ok1 := dateMap[dv.DataTime]; !ok1 {
  337. dateList = append(dateList, dv.DataTime)
  338. dateMap[dv.DataTime] = struct{}{}
  339. }
  340. }
  341. }
  342. }
  343. /*if edbInfoIndex == 0 {
  344. dateList = append(dateList, dv.DataTime)
  345. tmpDate, _ := time.ParseInLocation(utils.FormatDate, dv.DataTime, time.Local)
  346. if minLatestDate.IsZero() || tmpDate.After(minLatestDate) {
  347. minLatestDate = tmpDate
  348. }
  349. if maxStartDate.IsZero() || tmpDate.Before(maxStartDate) {
  350. maxStartDate = tmpDate
  351. }
  352. }*/
  353. }
  354. }
  355. // 处理最大日期和最小日期
  356. for _, v := range dateList {
  357. tmpDate, _ := time.ParseInLocation(utils.FormatDate, v, time.Local)
  358. if minLatestDate.IsZero() || tmpDate.After(minLatestDate) {
  359. minLatestDate = tmpDate
  360. }
  361. if maxStartDate.IsZero() || tmpDate.Before(maxStartDate) {
  362. maxStartDate = tmpDate
  363. }
  364. }
  365. //数据处理,将日期内不全的数据做填补
  366. HandleDateSaveDataMap(dateList, maxStartDate, minLatestDate, realSaveDataMap, saveDataMap, edbInfoIdList, emptyType)
  367. formulaDateSlice, formulaDateMap, err := utils.HandleFormulaJson(formulaStr, minLatestDate)
  368. if err != nil {
  369. return
  370. }
  371. addSql := ` INSERT INTO edb_data_predict_calculate (edb_info_id,edb_code,data_time,value,create_time,modify_time,data_timestamp) values `
  372. addSql = utils.ReplaceDriverKeywords("", addSql)
  373. var isAdd bool
  374. //获取指标所有数据
  375. dataList := make([]*EdbData, 0)
  376. dataTableName := GetEdbDataTableName(source, subSource)
  377. sql := `SELECT * FROM %s WHERE edb_info_id=? `
  378. sql = fmt.Sprintf(sql, dataTableName)
  379. //_, err = to.Raw(sql, edbInfoId).QueryRows(&dataList)
  380. err = to.Raw(sql, edbInfoId).Find(&dataList).Error
  381. if err != nil {
  382. return
  383. }
  384. dataMap := make(map[string]string)
  385. for _, v := range dataList {
  386. dataMap[v.DataTime] = v.Value
  387. }
  388. edbInfoIdStr := strconv.Itoa(edbInfoId)
  389. existDataMap := make(map[string]string)
  390. removeDateList := make([]string, 0) //需要移除的日期
  391. // 判断是否特殊处理max和min函数
  392. maxDealFlag := false
  393. if emptyType == 4 && maxEmptyType == 2 {
  394. maxDealFlag = true
  395. }
  396. for sk, sv := range saveDataMap {
  397. if _, ok := dateMap[sk]; !ok { //不在最终的日期序列里面不计算
  398. continue
  399. }
  400. // 当空值处理类型选择了不计算时,只要有一个指标在某个日期没有值(即空值),则计算指标在该日期没有值
  401. if emptyType == 1 {
  402. if len(sv) != len(edbInfoIdList) {
  403. continue
  404. }
  405. }
  406. //fmt.Println(sk, sv)
  407. // 根据时间范围,选择对应的公式
  408. formulaMap := make(map[string]string)
  409. formulaStr = ""
  410. for _, fv := range formulaDateSlice {
  411. if sk < fv {
  412. if f, ok := formulaDateMap[fv]; ok {
  413. formulaStr = f
  414. formulaMap, err = utils.CheckFormula(formulaStr)
  415. if err != nil {
  416. err = fmt.Errorf("公式错误,请重新填写")
  417. return
  418. }
  419. }
  420. break
  421. }
  422. }
  423. if formulaStr == "" {
  424. continue
  425. }
  426. svMax := make(map[int]float64)
  427. if maxDealFlag {
  428. // 特殊处理max和min函数,如果原本的值为空,则选择空值参与运算
  429. if svMaxData, ok := realSaveDataMap[sk]; ok {
  430. svMax = svMaxData
  431. }
  432. }
  433. formulaStr = strings.ToUpper(formulaStr)
  434. formulaFormStr := ReplaceFormula(edbInfoIdList, sv, svMax, formulaMap, formulaStr, edbInfoIdBytes, maxDealFlag)
  435. if formulaFormStr != "" {
  436. //utils.FileLog.Info(fmt.Sprintf("formulaFormStr:%s", formulaFormStr))
  437. fmt.Println(fmt.Sprintf("date %s:formulaFormStr:%s", sk, formulaFormStr))
  438. //expression := formula.NewExpression(formulaFormStr)
  439. //calResult, tmpErr := expression.Evaluate()
  440. calVal, err := engine.ParseAndExec(formulaFormStr)
  441. //calVal, err := calResult.Float64()
  442. if err != nil {
  443. // 分母为0的报错,忽略该循环
  444. if utils.IsDivideZero(err) {
  445. removeDateList = append(removeDateList, sk)
  446. continue
  447. }
  448. err = errors.New("计算失败:获取计算值失败 Err:" + err.Error() + ";formulaStr:" + formulaFormStr)
  449. return "", 0, err
  450. }
  451. //nanCheck := fmt.Sprintf("%0.f", calVal)
  452. //if tmpErr != nil {
  453. // // 分母为0的报错
  454. // if strings.Contains(err.Error(), "divide by zero") {
  455. // removeDateList = append(removeDateList, sk)
  456. // continue
  457. // }
  458. // err = errors.New("计算失败:Err:" + tmpErr.Error() + ";formulaStr:" + formulaFormStr)
  459. // fmt.Println(err)
  460. // return
  461. //}
  462. //calVal, tmpErr := calResult.Float64()
  463. //if tmpErr != nil {
  464. // err = errors.New("计算失败:获取计算值失败 Err:" + tmpErr.Error() + ";formulaStr:" + formulaFormStr)
  465. // fmt.Println(err)
  466. // return
  467. //}
  468. nanCheck := fmt.Sprintf("%0.f", calVal)
  469. // 分母为0.0的报错
  470. if nanCheck == "NaN" || nanCheck == "+Inf" || nanCheck == "-Inf" {
  471. removeDateList = append(removeDateList, sk)
  472. continue
  473. }
  474. saveValue := decimal.NewFromFloat(calVal).Round(4).String() //utils.SubFloatToString(calVal, 4)
  475. if existVal, ok := dataMap[sk]; !ok {
  476. dataTime, _ := time.ParseInLocation(utils.FormatDate, sk, time.Local)
  477. timestamp := dataTime.UnixNano() / 1e6
  478. timeStr := fmt.Sprintf("%d", timestamp)
  479. if _, existOk := existDataMap[sk]; !existOk {
  480. addSql += GetAddSql(edbInfoIdStr, edbCode, sk, timeStr, saveValue)
  481. isAdd = true
  482. }
  483. existDataMap[sk] = sk
  484. } else {
  485. existValDecimal, tmpErr := decimal.NewFromString(existVal)
  486. if tmpErr != nil {
  487. err = tmpErr
  488. return "", 0, err
  489. }
  490. existStr := existValDecimal.String()
  491. if existStr != saveValue {
  492. sql := ` UPDATE %s SET value=?,modify_time=NOW() WHERE edb_info_id=? AND data_time=? `
  493. sql = fmt.Sprintf(sql, dataTableName)
  494. //_, err = to.Raw(sql, saveValue, edbInfoId, sk).Exec()
  495. err = to.Exec(sql, saveValue, edbInfoId, sk).Error
  496. if err != nil {
  497. return "", 0, err
  498. }
  499. }
  500. }
  501. } else {
  502. //计算公式异常,那么就移除该指标
  503. removeDateList = append(removeDateList, sk)
  504. continue
  505. }
  506. }
  507. if isAdd {
  508. addSql = strings.TrimRight(addSql, ",")
  509. //_, err = to.Raw(addSql).Exec()
  510. err = to.Exec(addSql).Error
  511. if err != nil {
  512. fmt.Println("RefreshAllCalculate add Err", err.Error())
  513. return
  514. }
  515. }
  516. if len(removeDateList) > 0 {
  517. removeDateStr := strings.Join(removeDateList, `','`)
  518. removeDateStr = `'` + removeDateStr + `'`
  519. //如果拼接指标变更了,那么需要删除所有的指标数据
  520. tableName := GetEdbDataTableName(source, subSource)
  521. sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (%s) `, tableName, removeDateStr)
  522. //_, err = to.Raw(sql, edbInfoId).Exec()
  523. err = to.Exec(sql, edbInfoId).Error
  524. if err != nil {
  525. err = fmt.Errorf("删除计算失败的计算指标数据失败,Err:" + err.Error())
  526. return
  527. }
  528. }
  529. //查询预测日期
  530. if !newLatestDate.IsZero() {
  531. latestDateStr = newLatestDate.Format(utils.FormatDate)
  532. sql = fmt.Sprintf(` SELECT * FROM %s WHERE edb_info_id = ? and data_time <= ? ORDER BY data_time desc limit 1`, dataTableName)
  533. var latestDate EdbData
  534. //e := to.Raw(sql, edbInfoId, latestDateStr).QueryRow(&latestDate)
  535. e := to.Raw(sql, edbInfoId, latestDateStr).First(&latestDate).Error
  536. if e != nil {
  537. if e.Error() == utils.ErrNoRow() {
  538. //首个日期的值
  539. sql = fmt.Sprintf(` SELECT * FROM %s WHERE edb_info_id = ? ORDER BY data_time ASC limit 1`, dataTableName)
  540. //e = to.Raw(sql, edbInfoId).QueryRow(&latestDate)
  541. e = to.Raw(sql, edbInfoId).First(&latestDate).Error
  542. if e != nil {
  543. err = fmt.Errorf("查询最新日期失败,Err:" + e.Error())
  544. return
  545. }
  546. floatValue, _ := strconv.ParseFloat(latestDate.Value, 64)
  547. latestDateStr = latestDate.DataTime
  548. latestValue = floatValue
  549. } else {
  550. err = fmt.Errorf("查询最新日期失败,Err:" + e.Error())
  551. return
  552. }
  553. } else {
  554. floatValue, _ := strconv.ParseFloat(latestDate.Value, 64)
  555. latestDateStr = latestDate.DataTime
  556. latestValue = floatValue
  557. }
  558. }
  559. return
  560. }