predict_edb_data_calculate_ljznczj.go 14 KB

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  1. package models
  2. import (
  3. "errors"
  4. "fmt"
  5. "github.com/beego/beego/v2/client/orm"
  6. "github.com/shopspring/decimal"
  7. "hongze/hongze_edb_lib/utils"
  8. "reflect"
  9. "strconv"
  10. "strings"
  11. "time"
  12. )
  13. // PredictLjzNczj 预测累计值年初至今
  14. type PredictLjzNczj struct {
  15. }
  16. // Add 添加
  17. func (obj PredictLjzNczj) Add(params BatchSaveCalculateBatchParams) (edbInfo *EdbInfo, latestDateStr string, latestValue float64, err error, errMsg string) {
  18. req := params.Req
  19. fromEdbInfo := params.FromEdbInfo
  20. edbCode := params.EdbCode
  21. if fromEdbInfo.Frequency == `年度` {
  22. errMsg = "年初至今累计值计算中,可选指标范围为非年度指标"
  23. err = errors.New(errMsg)
  24. return
  25. }
  26. if fromEdbInfo.Frequency != req.Frequency {
  27. errMsg = "生成指标频度与原指标频度不同"
  28. err = errors.New(errMsg)
  29. return
  30. }
  31. o := orm.NewOrm()
  32. to, err := o.Begin()
  33. if err != nil {
  34. return
  35. }
  36. defer func() {
  37. if err != nil {
  38. _ = to.Rollback()
  39. fmt.Println(reflect.TypeOf(obj).Name(), ";Add,Err:"+err.Error())
  40. } else {
  41. _ = to.Commit()
  42. }
  43. }()
  44. edbInfo = &EdbInfo{
  45. //EdbInfoId: 0,
  46. SourceName: obj.GetSourceName(),
  47. Source: obj.GetSource(),
  48. EdbCode: edbCode,
  49. EdbName: req.EdbName,
  50. EdbNameSource: req.EdbName,
  51. Frequency: req.Frequency,
  52. Unit: req.Unit,
  53. StartDate: "",
  54. EndDate: "",
  55. ClassifyId: req.ClassifyId,
  56. SysUserId: params.SysUserId,
  57. SysUserRealName: params.SysUserRealName,
  58. UniqueCode: params.UniqueCode,
  59. CreateTime: time.Now(),
  60. ModifyTime: time.Now(),
  61. MinValue: 0,
  62. MaxValue: 0,
  63. CalculateFormula: req.Formula,
  64. EdbType: 2,
  65. Sort: 0,
  66. MoveType: 0,
  67. MoveFrequency: "",
  68. NoUpdate: 0,
  69. ServerUrl: "",
  70. EdbInfoType: 1,
  71. EdbNameEn: "",
  72. UnitEn: "",
  73. LatestDate: "",
  74. LatestValue: 0,
  75. ChartImage: "",
  76. Calendar: "",
  77. }
  78. newEdbInfoId, tmpErr := to.Insert(edbInfo)
  79. if tmpErr != nil {
  80. err = tmpErr
  81. return
  82. }
  83. edbInfo.EdbInfoId = int(newEdbInfoId)
  84. //关联关系
  85. {
  86. calculateMappingItem := new(EdbInfoCalculateMapping)
  87. calculateMappingItem.CreateTime = time.Now()
  88. calculateMappingItem.ModifyTime = time.Now()
  89. calculateMappingItem.Sort = 1
  90. calculateMappingItem.EdbCode = edbCode
  91. calculateMappingItem.EdbInfoId = edbInfo.EdbInfoId
  92. calculateMappingItem.FromEdbInfoId = fromEdbInfo.EdbInfoId
  93. calculateMappingItem.FromEdbCode = fromEdbInfo.EdbCode
  94. calculateMappingItem.FromEdbName = fromEdbInfo.EdbName
  95. calculateMappingItem.FromSource = fromEdbInfo.Source
  96. calculateMappingItem.FromSourceName = fromEdbInfo.SourceName
  97. calculateMappingItem.FromTag = ""
  98. calculateMappingItem.Source = edbInfo.Source
  99. calculateMappingItem.SourceName = edbInfo.SourceName
  100. _, err = to.Insert(calculateMappingItem)
  101. if err != nil {
  102. return
  103. }
  104. }
  105. //计算数据
  106. latestDateStr, latestValue, err = obj.refresh(to, edbInfo.EdbInfoId, edbInfo.Source, edbInfo, fromEdbInfo, edbInfo.EdbCode, "")
  107. return
  108. }
  109. // Edit 编辑
  110. func (obj PredictLjzNczj) Edit(params BatchSaveCalculateBatchParams) (latestDateStr string, latestValue float64, err error, errMsg string) {
  111. req := params.Req
  112. edbInfo := params.EdbInfo
  113. fromEdbInfo := params.FromEdbInfo
  114. if fromEdbInfo.Frequency == `年度` {
  115. errMsg = "年初至今累计值计算中,可选指标范围为非年度指标"
  116. err = errors.New(errMsg)
  117. return
  118. }
  119. if fromEdbInfo.Frequency != req.Frequency {
  120. errMsg = "生成指标频度与原指标频度不同"
  121. err = errors.New(errMsg)
  122. return
  123. }
  124. o := orm.NewOrm()
  125. to, err := o.Begin()
  126. if err != nil {
  127. return
  128. }
  129. defer func() {
  130. if err != nil {
  131. _ = to.Rollback()
  132. fmt.Println(reflect.TypeOf(obj).Name(), ";Edit,Err:"+err.Error())
  133. } else {
  134. _ = to.Commit()
  135. }
  136. }()
  137. tableName := GetEdbDataTableName(edbInfo.Source)
  138. var isRecalculate bool
  139. if edbInfo.Frequency != req.Frequency {
  140. isRecalculate = true
  141. }
  142. //修改指标信息
  143. edbInfo.EdbName = req.EdbName
  144. edbInfo.EdbNameSource = req.EdbName
  145. edbInfo.Frequency = req.Frequency
  146. edbInfo.Unit = req.Unit
  147. edbInfo.ClassifyId = req.ClassifyId
  148. edbInfo.ModifyTime = time.Now()
  149. _, err = to.Update(edbInfo, "EdbName", "EdbNameSource", "Frequency", "Unit", "ClassifyId", "ModifyTime")
  150. if err != nil {
  151. return
  152. }
  153. var existCondition string
  154. var existPars []interface{}
  155. existCondition += " AND edb_info_id=? AND from_edb_info_id=? "
  156. existPars = append(existPars, edbInfo.EdbInfoId, req.FromEdbInfoId)
  157. //判断计算指标是否被更换
  158. count, err := GetEdbInfoCalculateCountByCondition(existCondition, existPars)
  159. if err != nil {
  160. err = errors.New("判断指标是否改变失败,Err:" + err.Error())
  161. return
  162. }
  163. if count > 0 { // 指标未被替换,无需删除关联数据
  164. // 频度被换了,需要重新计算
  165. if isRecalculate {
  166. latestDateStr, latestValue, err = obj.refresh(to, edbInfo.EdbInfoId, edbInfo.Source, edbInfo, fromEdbInfo, edbInfo.EdbCode, "")
  167. }
  168. return
  169. }
  170. //删除,计算指标关联的,基础指标的关联关系
  171. sql := ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id = ? `
  172. _, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  173. if err != nil {
  174. return
  175. }
  176. //清空原有数据
  177. sql = ` DELETE FROM ` + tableName + ` WHERE edb_info_id = ? `
  178. _, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  179. if err != nil {
  180. return
  181. }
  182. //关联关系
  183. {
  184. calculateMappingItem := &EdbInfoCalculateMapping{
  185. EdbInfoCalculateMappingId: 0,
  186. EdbInfoId: edbInfo.EdbInfoId,
  187. Source: obj.GetSource(),
  188. SourceName: obj.GetSourceName(),
  189. EdbCode: edbInfo.EdbCode,
  190. FromEdbInfoId: fromEdbInfo.EdbInfoId,
  191. FromEdbCode: fromEdbInfo.EdbCode,
  192. FromEdbName: fromEdbInfo.EdbName,
  193. FromSource: fromEdbInfo.Source,
  194. FromSourceName: fromEdbInfo.SourceName,
  195. FromTag: "",
  196. Sort: 1,
  197. CreateTime: time.Now(),
  198. ModifyTime: time.Now(),
  199. }
  200. _, err = to.Insert(calculateMappingItem)
  201. if err != nil {
  202. return
  203. }
  204. }
  205. //计算数据
  206. latestDateStr, latestValue, err = obj.refresh(to, edbInfo.EdbInfoId, edbInfo.Source, edbInfo, fromEdbInfo, edbInfo.EdbCode, "")
  207. return
  208. }
  209. // Refresh 刷新
  210. func (obj PredictLjzNczj) Refresh(params RefreshParams) (latestDateStr string, latestValue float64, err error, errMsg string) {
  211. calculateMapping, err := GetEdbInfoCalculateMappingDetail(params.EdbInfo.EdbInfoId)
  212. if err != nil {
  213. errMsg = "GetEdbInfoCalculatePredictLjzNczjzyDetail Err:" + err.Error()
  214. return
  215. }
  216. fromEdbInfo, err := GetEdbInfoById(calculateMapping.FromEdbInfoId)
  217. if err != nil {
  218. errMsg = "GetEdbInfoById Err:" + err.Error()
  219. return
  220. }
  221. o := orm.NewOrm()
  222. to, err := o.Begin()
  223. if err != nil {
  224. return
  225. }
  226. defer func() {
  227. if err != nil {
  228. _ = to.Rollback()
  229. fmt.Println(reflect.TypeOf(obj).Name(), ";Refresh,Err:"+err.Error())
  230. } else {
  231. _ = to.Commit()
  232. }
  233. }()
  234. // 计算数据
  235. latestDateStr, latestValue, err = obj.refresh(to, params.EdbInfo.EdbInfoId, params.EdbInfo.Source, params.EdbInfo, fromEdbInfo, params.EdbInfo.EdbCode, params.StartDate)
  236. return
  237. }
  238. // GetSource 获取来源编码id
  239. func (obj PredictLjzNczj) GetSource() int {
  240. return utils.DATA_SOURCE_PREDICT_CALCULATE_LJZNCZJ
  241. }
  242. // GetSourceName 获取来源名称
  243. func (obj PredictLjzNczj) GetSourceName() string {
  244. return utils.DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZNCZJ
  245. }
  246. func (obj PredictLjzNczj) refresh(to orm.TxOrmer, edbInfoId, source int, edbInfo, fromEdbInfo *EdbInfo, edbCode, startDate string) (latestDateStr string, latestValue float64, err error) {
  247. dataTableName := GetEdbDataTableName(source)
  248. edbInfoIdStr := strconv.Itoa(edbInfoId)
  249. var isWeekData bool // 是否周度数据,如果是周度数据的话,是需要变频的,最后结果还需要除以7
  250. // 周度数据需要先变成日度的
  251. if fromEdbInfo.Frequency == `周度` {
  252. isWeekData = true
  253. }
  254. dataList, err := GetPredictEdbDataListAll(fromEdbInfo, 1)
  255. if err != nil {
  256. return
  257. }
  258. fromEdbDataMap := make(map[string]float64)
  259. if isWeekData {
  260. dataList, err = HandleDataByLinearRegression(dataList, fromEdbDataMap)
  261. if err != nil {
  262. return
  263. }
  264. }
  265. //日度数据年初至今:日期同原日度数据。将每年1月1日(含)到日度数据所在日期含间的日度值,进行加总。
  266. //周度数据年初至今:日期同原周度数据。将周度值转成日度频率,空值用插值法插值,然后算法同日度年度至今,再除以7
  267. //月度/季度数据年初至今:日期同原月度/季度数据,将每年1月1日(含)到月度数据所在日期(含)之间的月度/季度值,进行加总
  268. //以此类推
  269. dateList := make([]time.Time, 0)
  270. valueMap := make(map[time.Time]float64)
  271. yearMap := make(map[int]float64)
  272. switch edbInfo.Frequency {
  273. case "周度":
  274. tmpDateDataMap := make(map[time.Time]float64)
  275. tmpDateList := make([]time.Time, 0)
  276. for _, item := range dataList {
  277. itemDate, tmpErr := time.ParseInLocation(utils.FormatDate, item.DataTime, time.Local)
  278. if tmpErr != nil {
  279. err = tmpErr
  280. return
  281. }
  282. var currTime time.Time
  283. // 周六周日,这是下一个周五的数据
  284. if itemDate.Weekday() == 0 {
  285. currTime = itemDate.AddDate(0, 0, 5)
  286. } else if itemDate.Weekday() == 6 {
  287. currTime = itemDate.AddDate(0, 0, 6)
  288. } else {
  289. currTime = itemDate.AddDate(0, 0, 5-int(itemDate.Weekday()))
  290. }
  291. year := itemDate.Year()
  292. yearVal, ok := yearMap[year]
  293. if ok {
  294. yearMap[year] = item.Value + yearVal
  295. } else {
  296. yearMap[year] = item.Value
  297. }
  298. if itemDate.Equal(currTime) {
  299. valueMap[itemDate] = yearMap[year]
  300. dateList = append(dateList, itemDate)
  301. }
  302. }
  303. for _, currTime := range tmpDateList {
  304. dateList = append(dateList, currTime)
  305. valueMap[currTime] = tmpDateDataMap[currTime]
  306. }
  307. default:
  308. for _, item := range dataList {
  309. itemDate, tmpErr := time.ParseInLocation(utils.FormatDate, item.DataTime, time.Local)
  310. if tmpErr != nil {
  311. err = tmpErr
  312. return
  313. }
  314. year := itemDate.Year()
  315. yearVal, ok := yearMap[year]
  316. if ok {
  317. yearMap[year] = item.Value + yearVal
  318. } else {
  319. yearMap[year] = item.Value
  320. }
  321. valueMap[itemDate] = yearMap[year]
  322. dateList = append(dateList, itemDate)
  323. }
  324. }
  325. //获取指标所有数据
  326. existDataList := make([]*EdbData, 0)
  327. sql := `SELECT * FROM %s WHERE edb_info_id=? `
  328. sql = fmt.Sprintf(sql, dataTableName)
  329. _, err = to.Raw(sql, edbInfoId).QueryRows(&existDataList)
  330. if err != nil {
  331. return
  332. }
  333. existDataMap := make(map[string]string)
  334. removeDataTimeMap := make(map[string]int) //需要移除的日期数据
  335. for _, v := range existDataList {
  336. existDataMap[v.DataTime] = v.Value
  337. removeDataTimeMap[v.DataTime] = 1
  338. }
  339. needAddDateMap := make(map[time.Time]int)
  340. addSql := ` INSERT INTO ` + dataTableName + `(edb_info_id,edb_code,data_time,value,create_time,modify_time,data_timestamp) values `
  341. var isAdd bool
  342. for _, currTime := range dateList {
  343. currDateStr := currTime.Format(utils.FormatDate)
  344. existVal, ok := existDataMap[currDateStr]
  345. tmpVal, ok2 := valueMap[currTime]
  346. if !ok2 {
  347. err = errors.New("数据异常,date:" + currDateStr)
  348. return
  349. }
  350. var saveValue string
  351. if isWeekData { //周度指标转的话,最后结果要除以7
  352. saveValue = decimal.NewFromFloat(tmpVal).Div(decimal.NewFromInt(7)).Round(4).String()
  353. } else {
  354. saveValue = decimal.NewFromFloat(tmpVal).Round(4).String()
  355. }
  356. // 如果库中已经存在该数据的话,那么就进行值的变更操作
  357. if ok {
  358. //校验待删除日期数据里面是否存在该元素,如果存在的话,那么移除该日期
  359. delete(removeDataTimeMap, currDateStr)
  360. if existVal != saveValue {
  361. sql := ` UPDATE %s SET value=?,modify_time=NOW() WHERE edb_info_id=? AND data_time=? `
  362. sql = fmt.Sprintf(sql, dataTableName)
  363. _, err = to.Raw(sql, saveValue, edbInfoId, currDateStr).Exec()
  364. if err != nil {
  365. return
  366. }
  367. }
  368. continue
  369. }
  370. // 库中不存在该日期的数据
  371. timestamp := currTime.UnixNano() / 1e6
  372. timeStr := fmt.Sprintf("%d", timestamp)
  373. if _, existOk := needAddDateMap[currTime]; !existOk {
  374. addSql += GetAddSql(edbInfoIdStr, edbCode, currDateStr, timeStr, saveValue)
  375. isAdd = true
  376. }
  377. needAddDateMap[currTime] = 1
  378. }
  379. //删除已经不存在的指标数据(由于该指标当日的数据删除了)
  380. {
  381. removeDateList := make([]string, 0)
  382. for dateTime := range removeDataTimeMap {
  383. removeDateList = append(removeDateList, dateTime)
  384. }
  385. removeNum := len(removeDateList)
  386. if removeNum > 0 {
  387. sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (`+utils.GetOrmInReplace(removeNum)+`) `, dataTableName)
  388. _, err = to.Raw(sql, edbInfo.EdbInfoId, removeDateList).Exec()
  389. if err != nil {
  390. fmt.Println(reflect.TypeOf(obj).Name(), " add data ;delete Err", err.Error())
  391. err = fmt.Errorf("删除不存在的指标数据失败,Err:" + err.Error())
  392. return
  393. }
  394. }
  395. }
  396. if isAdd {
  397. addSql = strings.TrimRight(addSql, ",")
  398. _, err = to.Raw(addSql).Exec()
  399. if err != nil {
  400. fmt.Println(reflect.TypeOf(obj).Name(), " add data Err", err.Error())
  401. return
  402. }
  403. }
  404. //确定实际数据的最终值
  405. {
  406. var finalLast EdbInfoSearchData
  407. sql = fmt.Sprintf(` SELECT data_time , value FROM %s WHERE edb_info_id=? and data_time<=? ORDER BY data_time DESC `, dataTableName)
  408. err = to.Raw(sql, edbInfoId, fromEdbInfo.LatestDate).QueryRow(&finalLast)
  409. if err != nil && err.Error() != utils.ErrNoRow() {
  410. return
  411. } else {
  412. latestDateStr = finalLast.DataTime
  413. latestValue = finalLast.Value
  414. }
  415. if err != nil {
  416. err = nil
  417. } else {
  418. latestDateStr = finalLast.DataTime
  419. latestValue = finalLast.Value
  420. }
  421. }
  422. return
  423. }