predict_edb_data_calculate_ljztbpj.go 19 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. "sort"
  9. "strings"
  10. "time"
  11. )
  12. // EdbDataPredictCalculateLjztbpj 累计值同比拼接数据结构体
  13. type EdbDataPredictCalculateLjztbpj struct {
  14. EdbDataId int `orm:"column(edb_data_id);pk"`
  15. EdbInfoId int
  16. EdbCode string
  17. DataTime string
  18. Value float64
  19. Status int
  20. CreateTime time.Time
  21. ModifyTime time.Time
  22. DataTimestamp int64
  23. }
  24. // SavePredictCalculateLjztbpj 新增累计值同比拼接数据
  25. func SavePredictCalculateLjztbpj(req *EdbInfoCalculateBatchSaveReq, firstEdbInfo, secondEdbInfo *EdbInfo, edbCode, uniqueCode string, sysUserId int, sysUserRealName string) (edbInfo *EdbInfo, latestDateStr string, latestValue float64, err error) {
  26. o := orm.NewOrm()
  27. to, err := o.Begin()
  28. if err != nil {
  29. return
  30. }
  31. defer func() {
  32. if err != nil {
  33. fmt.Println("SavePredictCalculateLjztbpj,Err:" + err.Error())
  34. _ = to.Rollback()
  35. } else {
  36. _ = to.Commit()
  37. }
  38. }()
  39. //最近开始的时间
  40. var lastDateTime time.Time
  41. var existItemA, existItemB *EdbInfoCalculateMapping
  42. //获取待拼接指标
  43. {
  44. /*var condition string
  45. var pars []interface{}
  46. //获取待拼接指标最近的个12月31日有值的年份
  47. condition += " AND data_time like ? AND edb_info_id=? "
  48. pars = append(pars, "%12-31", firstEdbInfo.EdbInfoId)
  49. lastEdbData, tmpErr := GetLastEdbData(condition, pars, firstEdbInfo.Source)
  50. if tmpErr != nil {
  51. err = tmpErr
  52. return
  53. }*/
  54. var firstDataList []*EdbInfoSearchData
  55. var lastEdbData *EdbInfoSearchData
  56. firstDataList, err = GetPredictEdbDataListAllByStartDate(firstEdbInfo, 0, "")
  57. if err != nil {
  58. return
  59. }
  60. for _, v := range firstDataList {
  61. if strings.Contains(v.DataTime, "-12-31") {
  62. lastEdbData = v
  63. }
  64. }
  65. if lastEdbData == nil {
  66. err = errors.New("找不到最近的12月31号")
  67. return
  68. }
  69. lastDateTime, _ = time.ParseInLocation(utils.FormatDate, lastEdbData.DataTime, time.Local)
  70. }
  71. if req.EdbInfoId <= 0 {
  72. edbInfo = &EdbInfo{
  73. EdbInfoType: 1,
  74. SourceName: "预测累计值同比拼接",
  75. Source: utils.DATA_SOURCE_PREDICT_CALCULATE_LJZTBPJ,
  76. EdbCode: edbCode,
  77. EdbName: req.EdbName,
  78. EdbNameSource: req.EdbName,
  79. Frequency: req.Frequency,
  80. Unit: req.Unit,
  81. StartDate: firstEdbInfo.StartDate,
  82. EndDate: firstEdbInfo.EndDate,
  83. ClassifyId: req.ClassifyId,
  84. SysUserId: sysUserId,
  85. SysUserRealName: sysUserRealName,
  86. UniqueCode: uniqueCode,
  87. CreateTime: time.Now(),
  88. ModifyTime: time.Now(),
  89. CalculateFormula: lastDateTime.Format(utils.FormatDate),
  90. EdbType: 2,
  91. }
  92. newEdbInfoId, tmpErr := to.Insert(edbInfo)
  93. if tmpErr != nil {
  94. err = tmpErr
  95. return
  96. }
  97. edbInfo.EdbInfoId = int(newEdbInfoId)
  98. //关联关系
  99. {
  100. existItemA = &EdbInfoCalculateMapping{
  101. EdbInfoCalculateMappingId: 0,
  102. EdbInfoId: edbInfo.EdbInfoId,
  103. Source: edbInfo.Source,
  104. SourceName: edbInfo.SourceName,
  105. EdbCode: edbInfo.EdbCode,
  106. FromEdbInfoId: firstEdbInfo.EdbInfoId,
  107. FromEdbCode: firstEdbInfo.EdbCode,
  108. FromEdbName: firstEdbInfo.EdbName,
  109. FromSource: firstEdbInfo.Source,
  110. FromSourceName: firstEdbInfo.SourceName,
  111. FromTag: "A",
  112. Sort: 1,
  113. CreateTime: time.Now(),
  114. ModifyTime: time.Now(),
  115. }
  116. insertId, tmpErr := to.Insert(existItemA)
  117. if tmpErr != nil {
  118. err = tmpErr
  119. return
  120. }
  121. existItemA.EdbInfoCalculateMappingId = int(insertId)
  122. }
  123. //同比值指标
  124. {
  125. existItemB = &EdbInfoCalculateMapping{
  126. EdbInfoCalculateMappingId: 0,
  127. EdbInfoId: edbInfo.EdbInfoId,
  128. Source: edbInfo.Source,
  129. SourceName: edbInfo.SourceName,
  130. EdbCode: edbInfo.EdbCode,
  131. FromEdbInfoId: secondEdbInfo.EdbInfoId,
  132. FromEdbCode: secondEdbInfo.EdbCode,
  133. FromEdbName: secondEdbInfo.EdbName,
  134. FromSource: secondEdbInfo.Source,
  135. FromSourceName: secondEdbInfo.SourceName,
  136. FromTag: "B",
  137. Sort: 1,
  138. CreateTime: time.Now(),
  139. ModifyTime: time.Now(),
  140. }
  141. insertId, tmpErr := to.Insert(existItemB)
  142. if tmpErr != nil {
  143. err = tmpErr
  144. return
  145. }
  146. existItemB.EdbInfoCalculateMappingId = int(insertId)
  147. }
  148. } else {
  149. edbInfo, err = GetEdbInfoById(req.EdbInfoId)
  150. if err != nil {
  151. return
  152. }
  153. nowEdbInfo := *edbInfo // 现在的指标信息
  154. sql := ``
  155. //修改指标信息
  156. edbInfo.EdbNameSource = req.EdbName
  157. edbInfo.Frequency = req.Frequency
  158. edbInfo.Unit = req.Unit
  159. edbInfo.ClassifyId = req.ClassifyId
  160. edbInfo.CalculateFormula = lastDateTime.Format(utils.FormatDate)
  161. edbInfo.ModifyTime = time.Now()
  162. _, err = to.Update(edbInfo, "EdbName", "EdbNameSource", "Frequency", "Unit", "ClassifyId", "CalculateFormula", "ModifyTime")
  163. if err != nil {
  164. return
  165. }
  166. //查询出所有的关联指标
  167. var existCondition string
  168. var existPars []interface{}
  169. existCondition += " AND edb_info_id=? "
  170. existPars = append(existPars, edbInfo.EdbInfoId)
  171. var existList []*EdbInfoCalculateMapping
  172. existList, err = GetEdbInfoCalculateListByCondition(existCondition, existPars)
  173. if err != nil {
  174. err = errors.New("判断指标是否改变失败,Err:" + err.Error())
  175. return
  176. }
  177. for _, existItem := range existList {
  178. if existItem.FromTag == "A" {
  179. existItemA = existItem
  180. } else if existItem.FromTag == "B" {
  181. existItemB = existItem
  182. }
  183. }
  184. if existItemA == nil {
  185. err = errors.New("原待拼接指标不存在")
  186. return
  187. }
  188. if existItemB == nil {
  189. err = errors.New("原同比值指标不存在")
  190. return
  191. }
  192. // 是否需要删除数据重新计算
  193. isNeedCalculateData := false
  194. // 如果截止日期变更,那么需要重新计算
  195. if lastDateTime.Format(utils.FormatDate) != nowEdbInfo.CalculateFormula {
  196. isNeedCalculateData = true
  197. }
  198. //待拼接指标数据
  199. //如果拼接指标变更了,那么需要删除所有的指标进行重新拼接
  200. if existItemA.FromEdbInfoId != firstEdbInfo.EdbInfoId {
  201. //删除之前的A指标关联关系
  202. sql := ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id = ? and from_edb_info_id = ?`
  203. _, err = to.Raw(sql, edbInfo.EdbInfoId, existItemA.FromEdbInfoId).Exec()
  204. if err != nil {
  205. err = errors.New("删除拼接日期之前的指标关联关系失败,Err:" + err.Error())
  206. return
  207. }
  208. //添加新的指标关系
  209. {
  210. existItemA = &EdbInfoCalculateMapping{
  211. EdbInfoCalculateMappingId: 0,
  212. EdbInfoId: edbInfo.EdbInfoId,
  213. Source: edbInfo.Source,
  214. SourceName: edbInfo.SourceName,
  215. EdbCode: edbInfo.EdbCode,
  216. FromEdbInfoId: firstEdbInfo.EdbInfoId,
  217. FromEdbCode: firstEdbInfo.EdbCode,
  218. FromEdbName: firstEdbInfo.EdbName,
  219. FromSource: firstEdbInfo.Source,
  220. FromSourceName: firstEdbInfo.SourceName,
  221. FromTag: "A",
  222. Sort: 1,
  223. CreateTime: time.Now(),
  224. ModifyTime: time.Now(),
  225. }
  226. insertId, tmpErr := to.Insert(existItemA)
  227. if tmpErr != nil {
  228. err = tmpErr
  229. return
  230. }
  231. existItemA.EdbInfoCalculateMappingId = int(insertId)
  232. isNeedCalculateData = true
  233. }
  234. }
  235. //同比值指标
  236. if existItemB.FromEdbInfoId != secondEdbInfo.EdbInfoId {
  237. //删除之前的B指标关联关系
  238. sql = ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id = ? and from_edb_info_id = ?`
  239. _, err = to.Raw(sql, edbInfo.EdbInfoId, existItemB.FromEdbInfoId).Exec()
  240. if err != nil {
  241. err = errors.New("删除拼接日期之后的指标关联关系失败,Err:" + err.Error())
  242. return
  243. }
  244. //添加新的指标关系
  245. {
  246. existItemB = &EdbInfoCalculateMapping{
  247. EdbInfoCalculateMappingId: 0,
  248. EdbInfoId: edbInfo.EdbInfoId,
  249. Source: edbInfo.Source,
  250. SourceName: edbInfo.SourceName,
  251. EdbCode: edbInfo.EdbCode,
  252. FromEdbInfoId: secondEdbInfo.EdbInfoId,
  253. FromEdbCode: secondEdbInfo.EdbCode,
  254. FromEdbName: secondEdbInfo.EdbName,
  255. FromSource: secondEdbInfo.Source,
  256. FromSourceName: secondEdbInfo.SourceName,
  257. FromTag: "B",
  258. Sort: 2,
  259. CreateTime: time.Now(),
  260. ModifyTime: time.Now(),
  261. }
  262. insertId, tmpErr := to.Insert(existItemB)
  263. if tmpErr != nil {
  264. err = tmpErr
  265. return
  266. }
  267. existItemB.EdbInfoCalculateMappingId = int(insertId)
  268. isNeedCalculateData = true
  269. }
  270. }
  271. // 如果需要重新计算,那么先删除所有的指标数据,然后再重新计算
  272. if isNeedCalculateData {
  273. // 删除之前所有的指标数据
  274. tableName := GetEdbDataTableName(edbInfo.Source)
  275. sql = fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? `, tableName)
  276. _, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  277. if err != nil {
  278. err = errors.New("删除所有的累计值同比拼接指标数据失败,Err:" + err.Error())
  279. return
  280. }
  281. }else{
  282. return
  283. }
  284. }
  285. // 添加数据
  286. latestDateStr, latestValue, err = refreshAllPredictCalculateLjztbpj(to, edbInfo, firstEdbInfo, existItemA, existItemB)
  287. return
  288. }
  289. // RefreshAllPredictCalculateLjztbpj 刷新所有 累计值同比拼接 数据
  290. func RefreshAllPredictCalculateLjztbpj(edbInfo, firstEdbInfo *EdbInfo) (latestDateStr string, latestValue float64, err error) {
  291. o := orm.NewOrm()
  292. to, err := o.Begin()
  293. if err != nil {
  294. return
  295. }
  296. defer func() {
  297. if err != nil {
  298. fmt.Println("RefreshAllCalculateLjztbpj,Err:" + err.Error())
  299. _ = to.Rollback()
  300. } else {
  301. _ = to.Commit()
  302. }
  303. }()
  304. //查询关联指标信息
  305. var existCondition string
  306. var existPars []interface{}
  307. existCondition += " AND edb_info_id=? "
  308. existPars = append(existPars, edbInfo.EdbInfoId)
  309. existList, err := GetEdbInfoCalculateListByCondition(existCondition, existPars)
  310. if err != nil {
  311. err = errors.New("判断指标是否改变失败,Err:" + err.Error())
  312. return
  313. }
  314. var existItemA, existItemB *EdbInfoCalculateMapping
  315. for _, existItem := range existList {
  316. if existItem.FromTag == "A" {
  317. existItemA = existItem
  318. } else if existItem.FromTag == "B" {
  319. existItemB = existItem
  320. }
  321. }
  322. // 刷新数据
  323. latestDateStr, latestValue, err = refreshAllPredictCalculateLjztbpj(to, edbInfo, firstEdbInfo, existItemA, existItemB)
  324. return
  325. }
  326. // refreshAllPredictCalculateLjztbpj 刷新所有 累计值同比拼接 数据
  327. func refreshAllPredictCalculateLjztbpj(to orm.TxOrmer, edbInfo, firstEdbInfo *EdbInfo, existItemA, existItemB *EdbInfoCalculateMapping) (latestDateStr string, latestValue float64, err error) {
  328. //查询当前指标现有的数据
  329. var condition string
  330. var pars []interface{}
  331. condition += " AND edb_info_id=? "
  332. pars = append(pars, edbInfo.EdbInfoId)
  333. //根据指标id获取全部的数据
  334. var dataList []*EdbDataPredictCalculateLjztbpj
  335. sql := ` SELECT * FROM edb_data_predict_calculate_ljztbpj WHERE edb_info_id=? ORDER BY data_time DESC `
  336. _, err = to.Raw(sql, edbInfo.EdbInfoId).QueryRows(&dataList)
  337. if err != nil {
  338. return
  339. }
  340. //待拼接指标map
  341. pjDataMap := make(map[string]float64) //需要入库的数据
  342. nowEdbDataMap := make(map[string]float64) //当前指标的数据(已经在库里了,不需要重新)
  343. //拼接指标的日期切片数据
  344. pjEdbDataTimeList := make([]string, 0)
  345. dataMap := make(map[string]*EdbDataPredictCalculateLjztbpj)
  346. for _, v := range dataList {
  347. pjEdbDataTimeList = append(pjEdbDataTimeList, v.DataTime)
  348. dataMap[v.DataTime] = v
  349. nowEdbDataMap[v.DataTime] = v.Value
  350. }
  351. // 原数据开始计算日期
  352. startCalculationDate, _ := time.ParseInLocation(utils.FormatDate, edbInfo.CalculateFormula, time.Local)
  353. //待拼接指标
  354. {
  355. /*var condition string
  356. var pars []interface{}
  357. condition += " AND data_time <= ? AND edb_info_id=? "
  358. pars = append(pars, startCalculationDate, existItemA.FromEdbInfoId)
  359. //第一个指标的数据列表
  360. firstDataList, tmpErr := GetEdbDataListAllByTo(to, condition, pars, existItemA.FromSource, 0)
  361. if tmpErr != nil {
  362. err = tmpErr
  363. return
  364. }*/
  365. var firstDataList []*EdbInfoSearchData
  366. firstDataList, err = GetPredictEdbDataListAllByStartDate(firstEdbInfo, 0, startCalculationDate.Format(utils.FormatDate))
  367. if err != nil {
  368. return
  369. }
  370. latestDateStr = firstEdbInfo.LatestDate
  371. for _, v := range firstDataList {
  372. //时间戳
  373. if edbData, ok := dataMap[v.DataTime]; ok {
  374. if edbData.Value != v.Value {
  375. //更新指标数据
  376. edbData.Value = v.Value
  377. _, _ = to.Update(edbData, "Value")
  378. }
  379. } else {
  380. pjDataMap[v.DataTime] = v.Value
  381. pjEdbDataTimeList = append(pjEdbDataTimeList, v.DataTime)
  382. }
  383. //将新的数据存入已入库指标map里面,以便后续计算
  384. nowEdbDataMap[v.DataTime] = v.Value
  385. }
  386. }
  387. //同比值指标map
  388. tbzEdbDataMap := make(map[string]float64)
  389. //同比值日期切片列表
  390. tbzEdbDataTimeList := make([]string, 0)
  391. //同比值指标
  392. {
  393. var condition string
  394. var pars []interface{}
  395. condition += " AND data_time > ? AND edb_info_id = ? "
  396. pars = append(pars, startCalculationDate, existItemB.FromEdbInfoId)
  397. //第二个指标的数据列表
  398. secondDataList, tmpErr := GetEdbDataListAllByTo(to, condition, pars, existItemB.FromSource, 0)
  399. if tmpErr != nil {
  400. err = tmpErr
  401. return
  402. }
  403. for _, v := range secondDataList {
  404. tbzEdbDataMap[v.DataTime] = v.Value
  405. tbzEdbDataTimeList = append(tbzEdbDataTimeList, v.DataTime)
  406. }
  407. }
  408. sort.Strings(tbzEdbDataTimeList)
  409. // 遍历现有的数据,判断拼接指标中是否存在该日期数据,如果拼接指标无此数据,那么需要删除该日期数据(日期的判断:需要在开始计算日期之后)
  410. removeDateList := make([]string, 0)
  411. for nowEdbDate := range nowEdbDataMap {
  412. nowEdbDateTime, _ := time.ParseInLocation(utils.FormatDate, nowEdbDate, time.Local)
  413. //校验日期 需要 大于 拼接前日期
  414. if startCalculationDate.Before(nowEdbDateTime) {
  415. if _, ok := tbzEdbDataMap[nowEdbDate]; !ok {
  416. // 同比指标中,不存在该日期数据,那么需要移除 现有数据 中该日期的数据
  417. removeDateList = append(removeDateList, nowEdbDate)
  418. }
  419. }
  420. }
  421. //待修改的指标数据map(index:日期,value:值)
  422. updateEdbDataMap := make(map[string]float64)
  423. for _, v := range tbzEdbDataTimeList {
  424. tbzDataTime, _ := time.ParseInLocation(utils.FormatDate, v, time.Local)
  425. //获取拼接指标上一年同一天的数据
  426. var pjDataTime time.Time
  427. if tbzDataTime.Month() == 2 {
  428. pjDataTime = tbzDataTime.AddDate(0, -11, 0)
  429. pjDataTime = time.Date(pjDataTime.Year(), pjDataTime.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 0, -1)
  430. } else {
  431. pjDataTime = tbzDataTime.AddDate(-1, 0, 0)
  432. }
  433. //校验现有数据中,是否存在该日期的数据,如果存在的话,那么就要去校验 最新计算数据 与 现有数据 是否一致
  434. if nowEdbDataValue, isHas := nowEdbDataMap[v]; isHas {
  435. //获取去年今日的数据,获取到后,然后是去修改该日期的数据
  436. if lastYearEdbDataValue, ok := nowEdbDataMap[pjDataTime.Format(utils.FormatDate)]; ok {
  437. if v == "2021-08-31" {
  438. fmt.Println("进来了")
  439. }
  440. tbzDataValue := tbzEdbDataMap[v] //同比值
  441. currValue := lastYearEdbDataValue * (1 + tbzDataValue/100)
  442. currValue, _ = decimal.NewFromFloat(currValue).Truncate(4).Float64() //保留4位小数
  443. //如果计算出来的值与库里面的值不匹配,那么就去修改该值
  444. if nowEdbDataValue != currValue {
  445. //将计算后的数据存入待拼接指标map里面,以便后续计算
  446. updateEdbDataMap[v] = currValue
  447. }
  448. }
  449. } else {
  450. //因为 现有数据中 不存在该日期数据,那么需要做新增数据处理
  451. //如果去年今日存在该数据,那么就去计算当前的数据
  452. if pjDataValue, ok := nowEdbDataMap[pjDataTime.Format(utils.FormatDate)]; ok {
  453. tbzDataValue := tbzEdbDataMap[v] //同比值
  454. currValue := pjDataValue * (1 + tbzDataValue/100)
  455. currValue, _ = decimal.NewFromFloat(currValue).Truncate(4).Float64()
  456. //将计算后的数据存入已入库指标map里面,以便后续计算
  457. nowEdbDataMap[v] = currValue
  458. //将计算后的数据存入待拼接指标map里面,以便后续入库
  459. pjDataMap[v] = currValue
  460. pjEdbDataTimeList = append(pjEdbDataTimeList, v)
  461. }
  462. }
  463. }
  464. //新增的数据入库
  465. {
  466. addDataList := make([]*EdbDataPredictCalculateLjztbpj, 0)
  467. //日期排序下
  468. sort.Strings(pjEdbDataTimeList)
  469. //这么做的目的是为了让数据插入的时候,可以正序插入(业务上没啥卵用,就是为了让我看数据的时候舒服点,手动狗头-_-|)
  470. for _, dataTime := range pjEdbDataTimeList {
  471. if dataValue, ok := pjDataMap[dataTime]; ok {
  472. //时间戳
  473. currentDate, _ := time.Parse(utils.FormatDate, dataTime)
  474. timestamp := currentDate.UnixNano() / 1e6
  475. edbDataLjztbpj := &EdbDataPredictCalculateLjztbpj{
  476. EdbInfoId: edbInfo.EdbInfoId,
  477. EdbCode: edbInfo.EdbCode,
  478. DataTime: dataTime,
  479. Value: dataValue,
  480. Status: 1,
  481. CreateTime: time.Now(),
  482. ModifyTime: time.Now(),
  483. DataTimestamp: timestamp,
  484. }
  485. addDataList = append(addDataList, edbDataLjztbpj)
  486. if firstEdbInfo.LatestDate == dataTime {
  487. latestValue = dataValue
  488. }
  489. }
  490. }
  491. //数据入库
  492. if len(addDataList) > 0 {
  493. _, tmpErr := to.InsertMulti(len(addDataList), addDataList)
  494. if tmpErr != nil {
  495. err = tmpErr
  496. return
  497. }
  498. }
  499. }
  500. //删除已经不存在的累计同比拼接指标数据(由于同比值当日的数据删除了)
  501. {
  502. if len(removeDateList) > 0 {
  503. removeDateStr := strings.Join(removeDateList, `","`)
  504. removeDateStr = `"` + removeDateStr + `"`
  505. //如果拼接指标变更了,那么需要删除所有的指标数据
  506. tableName := GetEdbDataTableName(edbInfo.Source)
  507. sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (%s) `, tableName, removeDateStr)
  508. _, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  509. if err != nil {
  510. err = errors.New("删除不存在的累计值同比拼接指标数据失败,Err:" + err.Error())
  511. return
  512. }
  513. }
  514. }
  515. //修改现有的数据中对应的值
  516. {
  517. tableName := GetEdbDataTableName(edbInfo.Source)
  518. for edbDate, edbDataValue := range updateEdbDataMap {
  519. sql := fmt.Sprintf(` UPDATE %s set value = ?,modify_time=now() WHERE edb_info_id = ? and data_time = ? `, tableName)
  520. _, err = to.Raw(sql, edbDataValue, edbInfo.EdbInfoId, edbDate).Exec()
  521. if err != nil {
  522. err = errors.New("更新现有的累计值同比拼接指标数据失败,Err:" + err.Error())
  523. return
  524. }
  525. if firstEdbInfo.LatestDate == edbDate {
  526. latestValue = edbDataValue
  527. }
  528. }
  529. }
  530. return
  531. }