edb_data_calculate_ljztbpj.go 20 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. // EdbDataCalculateLjztbpj 累计值同比拼接数据结构体
  13. type EdbDataCalculateLjztbpj 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. // AddCalculateLjztbpj 新增累计值同比拼接数据
  25. func AddCalculateLjztbpj(req *EdbInfoCalculateBatchSaveReq, firstEdbInfo, secondEdbInfo *EdbInfo, edbCode, uniqueCode string, sysUserId int, sysUserRealName string) (edbInfo *EdbInfo, 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("AddCalculateLjztbpj,Err:" + err.Error())
  34. _ = to.Rollback()
  35. } else {
  36. _ = to.Commit()
  37. }
  38. }()
  39. //待拼接指标map
  40. pjDataMap := make(map[string]float64)
  41. //拼接指标的日期切片数据
  42. pjEdbDataTimeList := make([]string, 0)
  43. //最近开始的时间
  44. var lastDateTime time.Time
  45. //获取待拼接指标
  46. {
  47. var condition string
  48. var pars []interface{}
  49. //获取待拼接指标最近的个12月31日有值的年份
  50. condition += " AND data_time like ? AND edb_info_id=? "
  51. pars = append(pars, "%12-31", firstEdbInfo.EdbInfoId)
  52. lastEdbData, tmpErr := GetLastEdbData(condition, pars, firstEdbInfo.Source)
  53. if tmpErr != nil {
  54. err = tmpErr
  55. return
  56. }
  57. lastDateTime, _ = time.ParseInLocation(utils.FormatDate, lastEdbData.DataTime, time.Local)
  58. //获取待拼接指标的数据列表
  59. condition = ``
  60. pars = make([]interface{}, 0)
  61. condition += " AND data_time <= ? AND edb_info_id=? "
  62. pars = append(pars, lastEdbData.DataTime, firstEdbInfo.EdbInfoId)
  63. firstDataList, tmpErr := GetEdbDataListAll(condition, pars, firstEdbInfo.Source, 0)
  64. if tmpErr != nil {
  65. err = tmpErr
  66. return
  67. }
  68. for _, v := range firstDataList {
  69. pjDataMap[v.DataTime] = v.Value
  70. pjEdbDataTimeList = append(pjEdbDataTimeList, v.DataTime)
  71. }
  72. }
  73. if req.EdbInfoId <= 0 {
  74. edbInfo = &EdbInfo{
  75. SourceName: "累计值同比拼接",
  76. Source: utils.DATA_SOURCE_CALCULATE_LJZTBPJ,
  77. EdbCode: edbCode,
  78. EdbName: req.EdbName,
  79. EdbNameSource: req.EdbName,
  80. Frequency: req.Frequency,
  81. Unit: req.Unit,
  82. StartDate: firstEdbInfo.StartDate,
  83. EndDate: firstEdbInfo.EndDate,
  84. ClassifyId: req.ClassifyId,
  85. SysUserId: sysUserId,
  86. SysUserRealName: sysUserRealName,
  87. UniqueCode: uniqueCode,
  88. CreateTime: time.Now(),
  89. ModifyTime: time.Now(),
  90. CalculateFormula: lastDateTime.Format(utils.FormatDate),
  91. EdbType: 2,
  92. }
  93. newEdbInfoId, tmpErr := to.Insert(edbInfo)
  94. if tmpErr != nil {
  95. err = tmpErr
  96. return
  97. }
  98. edbInfo.EdbInfoId = int(newEdbInfoId)
  99. } else {
  100. edbInfo, err = GetEdbInfoById(req.EdbInfoId)
  101. if err != nil {
  102. return
  103. }
  104. //查询
  105. tmpEdbInfo, tmpErr := GetEdbInfoById(edbInfo.EdbInfoId)
  106. if tmpErr != nil {
  107. err = tmpErr
  108. return
  109. }
  110. tmpEdbInfo.EdbName = req.EdbName
  111. tmpEdbInfo.ClassifyId = req.ClassifyId
  112. tmpEdbInfo.Frequency = req.Frequency
  113. tmpEdbInfo.Unit = req.Unit
  114. tmpEdbInfo.CalculateFormula = req.Formula
  115. edbInfo = tmpEdbInfo
  116. //删除指标数据
  117. dataTableName := GetEdbDataTableName(utils.DATA_SOURCE_CALCULATE_LJZTBPJ)
  118. fmt.Println("dataTableName:" + dataTableName)
  119. deleteSql := ` DELETE FROM %s WHERE edb_info_id=? `
  120. deleteSql = fmt.Sprintf(deleteSql, dataTableName)
  121. _, err = to.Raw(deleteSql, req.EdbInfoId).Exec()
  122. if err != nil {
  123. return
  124. }
  125. //删除指标关系
  126. sql := ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id=? `
  127. _, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  128. }
  129. //关联关系
  130. var existItemA, existItemB *EdbInfoCalculateMapping
  131. //拼接指标
  132. {
  133. existItemA = &EdbInfoCalculateMapping{
  134. EdbInfoCalculateMappingId: 0,
  135. EdbInfoId: edbInfo.EdbInfoId,
  136. Source: edbInfo.Source,
  137. SourceName: edbInfo.SourceName,
  138. EdbCode: edbInfo.EdbCode,
  139. FromEdbInfoId: firstEdbInfo.EdbInfoId,
  140. FromEdbCode: firstEdbInfo.EdbCode,
  141. FromEdbName: firstEdbInfo.EdbName,
  142. FromSource: firstEdbInfo.Source,
  143. FromSourceName: firstEdbInfo.SourceName,
  144. FromTag: "A",
  145. Sort: 1,
  146. CreateTime: time.Now(),
  147. ModifyTime: time.Now(),
  148. }
  149. insertId, tmpErr := to.Insert(existItemA)
  150. if tmpErr != nil {
  151. err = tmpErr
  152. return
  153. }
  154. existItemA.EdbInfoCalculateMappingId = int(insertId)
  155. }
  156. //同比值指标
  157. {
  158. existItemB = &EdbInfoCalculateMapping{
  159. EdbInfoCalculateMappingId: 0,
  160. EdbInfoId: edbInfo.EdbInfoId,
  161. Source: edbInfo.Source,
  162. SourceName: edbInfo.SourceName,
  163. EdbCode: edbInfo.EdbCode,
  164. FromEdbInfoId: secondEdbInfo.EdbInfoId,
  165. FromEdbCode: secondEdbInfo.EdbCode,
  166. FromEdbName: secondEdbInfo.EdbName,
  167. FromSource: secondEdbInfo.Source,
  168. FromSourceName: secondEdbInfo.SourceName,
  169. FromTag: "B",
  170. Sort: 1,
  171. CreateTime: time.Now(),
  172. ModifyTime: time.Now(),
  173. }
  174. insertId, tmpErr := to.Insert(existItemB)
  175. if tmpErr != nil {
  176. err = tmpErr
  177. return
  178. }
  179. existItemB.EdbInfoCalculateMappingId = int(insertId)
  180. }
  181. // 添加数据
  182. err = refreshAllCalculateLjztbpj(to, edbInfo, existItemA, existItemB)
  183. return
  184. }
  185. // EditCalculateLjztbpj 编辑累计值同比拼接数据
  186. func EditCalculateLjztbpj(req *EdbInfoCalculateBatchEditReq, edbInfo, firstEdbInfo, secondEdbInfo *EdbInfo) (err error) {
  187. o := orm.NewOrm()
  188. to, err := o.Begin()
  189. if err != nil {
  190. return
  191. }
  192. defer func() {
  193. if err != nil {
  194. fmt.Println("EditCalculateLjztbpj,Err:" + err.Error())
  195. _ = to.Rollback()
  196. } else {
  197. _ = to.Commit()
  198. }
  199. }()
  200. nowEdbInfo := *edbInfo // 现在的指标信息
  201. sql := ``
  202. //修改指标信息
  203. edbInfo.EdbNameSource = req.EdbName
  204. edbInfo.Frequency = req.Frequency
  205. edbInfo.Unit = req.Unit
  206. edbInfo.ClassifyId = req.ClassifyId
  207. edbInfo.CalculateFormula = req.Formula
  208. edbInfo.ModifyTime = time.Now()
  209. _, err = to.Update(edbInfo, "EdbName", "EdbNameSource", "Frequency", "Unit", "ClassifyId", "CalculateFormula", "ModifyTime")
  210. if err != nil {
  211. return
  212. }
  213. //查询出所有的关联指标
  214. var existCondition string
  215. var existPars []interface{}
  216. existCondition += " AND edb_info_id=? "
  217. existPars = append(existPars, edbInfo.EdbInfoId)
  218. existList, err := GetEdbInfoCalculateListByCondition(existCondition, existPars)
  219. if err != nil {
  220. err = errors.New("判断指标是否改变失败,Err:" + err.Error())
  221. return
  222. }
  223. var existItemA, existItemB *EdbInfoCalculateMapping
  224. for _, existItem := range existList {
  225. if existItem.FromTag == "A" {
  226. existItemA = existItem
  227. } else if existItem.FromTag == "B" {
  228. existItemB = existItem
  229. }
  230. }
  231. // 是否需要删除数据重新计算
  232. isNeedCalculateData := false
  233. // 如果截止日期变更,那么需要重新计算
  234. if req.Formula != nowEdbInfo.CalculateFormula {
  235. isNeedCalculateData = true
  236. }
  237. //待拼接指标数据
  238. //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
  239. if existItemA.FromEdbInfoId != firstEdbInfo.EdbInfoId {
  240. //删除之前的A指标关联关系
  241. sql := ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id = ? and from_edb_info_id = ?`
  242. _, err = to.Raw(sql, edbInfo.EdbInfoId, existItemA.FromEdbInfoId).Exec()
  243. if err != nil {
  244. err = errors.New("删除拼接日期之前的指标关联关系失败,Err:" + err.Error())
  245. return
  246. }
  247. //添加新的指标关系
  248. {
  249. existItemA = &EdbInfoCalculateMapping{
  250. EdbInfoCalculateMappingId: 0,
  251. EdbInfoId: edbInfo.EdbInfoId,
  252. Source: edbInfo.Source,
  253. SourceName: edbInfo.SourceName,
  254. EdbCode: edbInfo.EdbCode,
  255. FromEdbInfoId: firstEdbInfo.EdbInfoId,
  256. FromEdbCode: firstEdbInfo.EdbCode,
  257. FromEdbName: firstEdbInfo.EdbName,
  258. FromSource: firstEdbInfo.Source,
  259. FromSourceName: firstEdbInfo.SourceName,
  260. FromTag: "A",
  261. Sort: 1,
  262. CreateTime: time.Now(),
  263. ModifyTime: time.Now(),
  264. }
  265. insertId, tmpErr := to.Insert(existItemA)
  266. if tmpErr != nil {
  267. err = tmpErr
  268. return
  269. }
  270. existItemA.EdbInfoCalculateMappingId = int(insertId)
  271. isNeedCalculateData = true
  272. }
  273. }
  274. //同比值指标
  275. if existItemB.FromEdbInfoId != secondEdbInfo.EdbInfoId {
  276. //删除之前的B指标关联关系
  277. sql = ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id = ? and from_edb_info_id = ?`
  278. _, err = to.Raw(sql, edbInfo.EdbInfoId, existItemB.FromEdbInfoId).Exec()
  279. if err != nil {
  280. err = errors.New("删除拼接日期之后的指标关联关系失败,Err:" + err.Error())
  281. return
  282. }
  283. //添加新的指标关系
  284. {
  285. existItemB = &EdbInfoCalculateMapping{
  286. EdbInfoCalculateMappingId: 0,
  287. EdbInfoId: edbInfo.EdbInfoId,
  288. Source: edbInfo.Source,
  289. SourceName: edbInfo.SourceName,
  290. EdbCode: edbInfo.EdbCode,
  291. FromEdbInfoId: secondEdbInfo.EdbInfoId,
  292. FromEdbCode: secondEdbInfo.EdbCode,
  293. FromEdbName: secondEdbInfo.EdbName,
  294. FromSource: secondEdbInfo.Source,
  295. FromSourceName: secondEdbInfo.SourceName,
  296. FromTag: "B",
  297. Sort: 2,
  298. CreateTime: time.Now(),
  299. ModifyTime: time.Now(),
  300. }
  301. insertId, tmpErr := to.Insert(existItemB)
  302. if tmpErr != nil {
  303. err = tmpErr
  304. return
  305. }
  306. existItemA.EdbInfoCalculateMappingId = int(insertId)
  307. isNeedCalculateData = true
  308. }
  309. }
  310. // 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
  311. if isNeedCalculateData {
  312. // 删除之前所有的指标数据
  313. tableName := GetEdbDataTableName(edbInfo.Source)
  314. sql = fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? `, tableName)
  315. _, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  316. if err != nil {
  317. err = errors.New("删除所有的累计值同比拼接指标数据失败,Err:" + err.Error())
  318. return
  319. }
  320. // 重新计算
  321. err = refreshAllCalculateLjztbpj(to, edbInfo, existItemA, existItemB)
  322. }
  323. return
  324. }
  325. // GetAllEdbDataCalculateLjztbpjByEdbInfoId 根据指标id获取全部的数据
  326. func GetAllEdbDataCalculateLjztbpjByEdbInfoId(edbInfoId int) (items []*EdbDataCalculateLjztbpj, err error) {
  327. o := orm.NewOrm()
  328. sql := ` SELECT * FROM edb_data_calculate_ljztbpj WHERE edb_info_id=? ORDER BY data_time DESC `
  329. _, err = o.Raw(sql, edbInfoId).QueryRows(&items)
  330. return
  331. }
  332. // RefreshAllCalculateLjztbpj 刷新所有 累计值同比拼接 数据
  333. func RefreshAllCalculateLjztbpj(edbInfo *EdbInfo) (err error) {
  334. o := orm.NewOrm()
  335. to, err := o.Begin()
  336. if err != nil {
  337. return
  338. }
  339. defer func() {
  340. if err != nil {
  341. fmt.Println("RefreshAllCalculateLjztbpj,Err:" + err.Error())
  342. _ = to.Rollback()
  343. } else {
  344. _ = to.Commit()
  345. }
  346. }()
  347. //查询关联指标信息
  348. var existCondition string
  349. var existPars []interface{}
  350. existCondition += " AND edb_info_id=? "
  351. existPars = append(existPars, edbInfo.EdbInfoId)
  352. existList, err := GetEdbInfoCalculateListByCondition(existCondition, existPars)
  353. if err != nil {
  354. err = errors.New("判断指标是否改变失败,Err:" + err.Error())
  355. return
  356. }
  357. var existItemA, existItemB *EdbInfoCalculateMapping
  358. for _, existItem := range existList {
  359. if existItem.FromTag == "A" {
  360. existItemA = existItem
  361. } else if existItem.FromTag == "B" {
  362. existItemB = existItem
  363. }
  364. }
  365. // 刷新数据
  366. err = refreshAllCalculateLjztbpj(to, edbInfo, existItemA, existItemB)
  367. return
  368. }
  369. // refreshAllCalculateLjztbpj 刷新所有 累计值同比拼接 数据
  370. func refreshAllCalculateLjztbpj(to orm.TxOrmer, edbInfo *EdbInfo, existItemA, existItemB *EdbInfoCalculateMapping) (err error) {
  371. //查询当前指标现有的数据
  372. var condition string
  373. var pars []interface{}
  374. condition += " AND edb_info_id=? "
  375. pars = append(pars, edbInfo.EdbInfoId)
  376. //根据指标id获取全部的数据
  377. var dataList []*EdbDataCalculateLjztbpj
  378. sql := ` SELECT * FROM edb_data_calculate_ljztbpj WHERE edb_info_id=? ORDER BY data_time DESC `
  379. _, err = to.Raw(sql, edbInfo.EdbInfoId).QueryRows(&dataList)
  380. if err != nil {
  381. return err
  382. }
  383. //待拼接指标map
  384. pjDataMap := make(map[string]float64) //需要入库的数据
  385. nowEdbDataMap := make(map[string]float64) //当前指标的数据(已经在库里了,不需要重新)
  386. //拼接指标的日期切片数据
  387. pjEdbDataTimeList := make([]string, 0)
  388. dataMap := make(map[string]*EdbDataCalculateLjztbpj)
  389. for _, v := range dataList {
  390. pjEdbDataTimeList = append(pjEdbDataTimeList, v.DataTime)
  391. dataMap[v.DataTime] = v
  392. nowEdbDataMap[v.DataTime] = v.Value
  393. }
  394. // 原数据开始计算日期
  395. startCalculationDate, _ := time.ParseInLocation(utils.FormatDate, edbInfo.CalculateFormula, time.Local)
  396. //待拼接指标
  397. {
  398. var condition string
  399. var pars []interface{}
  400. condition += " AND data_time <= ? AND edb_info_id=? "
  401. pars = append(pars, startCalculationDate, existItemA.FromEdbInfoId)
  402. //第一个指标的数据列表
  403. firstDataList, tmpErr := GetEdbDataListAll(condition, pars, existItemA.FromSource, 0)
  404. if tmpErr != nil {
  405. return tmpErr
  406. }
  407. for _, v := range firstDataList {
  408. //时间戳
  409. if edbData, ok := dataMap[v.DataTime]; ok {
  410. if edbData.Value != v.Value {
  411. //更新指标数据
  412. edbData.Value = v.Value
  413. _, _ = to.Update(edbData, "Value")
  414. }
  415. } else {
  416. pjDataMap[v.DataTime] = v.Value
  417. pjEdbDataTimeList = append(pjEdbDataTimeList, v.DataTime)
  418. }
  419. //将新的数据存入已入库指标map里面,以便后续计算
  420. nowEdbDataMap[v.DataTime] = v.Value
  421. }
  422. }
  423. //同比值指标map
  424. tbzEdbDataMap := make(map[string]float64)
  425. //同比值日期切片列表
  426. tbzEdbDataTimeList := make([]string, 0)
  427. //同比值指标
  428. {
  429. var condition string
  430. var pars []interface{}
  431. condition += " AND data_time > ? AND edb_info_id = ? "
  432. pars = append(pars, startCalculationDate, existItemB.FromEdbInfoId)
  433. //第二个指标的数据列表
  434. secondDataList, tmpErr := GetEdbDataListAll(condition, pars, existItemB.FromSource, 0)
  435. if tmpErr != nil {
  436. return tmpErr
  437. }
  438. for _, v := range secondDataList {
  439. tbzEdbDataMap[v.DataTime] = v.Value
  440. tbzEdbDataTimeList = append(tbzEdbDataTimeList, v.DataTime)
  441. }
  442. }
  443. sort.Strings(tbzEdbDataTimeList)
  444. // 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)
  445. removeDateList := make([]string, 0)
  446. for nowEdbDate := range nowEdbDataMap {
  447. nowEdbDateTime, _ := time.ParseInLocation(utils.FormatDate, nowEdbDate, time.Local)
  448. //校验日期 需要 大于 拼接前日期
  449. if startCalculationDate.Before(nowEdbDateTime) {
  450. if _, ok := tbzEdbDataMap[nowEdbDate]; !ok {
  451. // 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
  452. removeDateList = append(removeDateList, nowEdbDate)
  453. }
  454. }
  455. }
  456. //待修改的指标数据map(index:日期,value:值)
  457. updateEdbDataMap := make(map[string]float64)
  458. for _, v := range tbzEdbDataTimeList {
  459. tbzDataTime, _ := time.ParseInLocation(utils.FormatDate, v, time.Local)
  460. //获取拼接指标上一年同一天的数据
  461. var pjDataTime time.Time
  462. if tbzDataTime.Month() == 2 {
  463. pjDataTime = tbzDataTime.AddDate(0, -11, 0)
  464. pjDataTime = time.Date(pjDataTime.Year(), pjDataTime.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 0, -1)
  465. } else {
  466. pjDataTime = tbzDataTime.AddDate(-1, 0, 0)
  467. }
  468. //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
  469. if nowEdbDataValue, isHas := nowEdbDataMap[v]; isHas {
  470. //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
  471. if lastYearEdbDataValue, ok := nowEdbDataMap[pjDataTime.Format(utils.FormatDate)]; ok {
  472. if v == "2021-08-31" {
  473. fmt.Println("进来了")
  474. }
  475. tbzDataValue := tbzEdbDataMap[v] //同比值
  476. currValue := lastYearEdbDataValue * (1 + tbzDataValue/100)
  477. currValue, _ = decimal.NewFromFloat(currValue).Truncate(4).Float64() //保留4位小数
  478. //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
  479. if nowEdbDataValue != currValue {
  480. //将计算后的数据存入待拼接指标map里面,以便后续计算
  481. updateEdbDataMap[v] = currValue
  482. }
  483. }
  484. } else {
  485. //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
  486. //如果去年今日存在该数据,那么就去计算当前的数据
  487. if pjDataValue, ok := nowEdbDataMap[pjDataTime.Format(utils.FormatDate)]; ok {
  488. tbzDataValue := tbzEdbDataMap[v] //同比值
  489. currValue := pjDataValue * (1 + tbzDataValue/100)
  490. currValue, _ = decimal.NewFromFloat(currValue).Truncate(4).Float64()
  491. //将计算后的数据存入已入库指标map里面,以便后续计算
  492. nowEdbDataMap[v] = currValue
  493. //将计算后的数据存入待拼接指标map里面,以便后续入库
  494. pjDataMap[v] = currValue
  495. pjEdbDataTimeList = append(pjEdbDataTimeList, v)
  496. }
  497. }
  498. }
  499. //新增的数据入库
  500. {
  501. addDataList := make([]*EdbDataCalculateLjztbpj, 0)
  502. //日期排序下
  503. sort.Strings(pjEdbDataTimeList)
  504. //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-_-|)
  505. for _, dataTime := range pjEdbDataTimeList {
  506. if dataValue, ok := pjDataMap[dataTime]; ok {
  507. //时间戳
  508. currentDate, _ := time.Parse(utils.FormatDate, dataTime)
  509. timestamp := currentDate.UnixNano() / 1e6
  510. edbDataLjztbpj := &EdbDataCalculateLjztbpj{
  511. EdbInfoId: edbInfo.EdbInfoId,
  512. EdbCode: edbInfo.EdbCode,
  513. DataTime: dataTime,
  514. Value: dataValue,
  515. Status: 1,
  516. CreateTime: time.Now(),
  517. ModifyTime: time.Now(),
  518. DataTimestamp: timestamp,
  519. }
  520. addDataList = append(addDataList, edbDataLjztbpj)
  521. }
  522. }
  523. //数据入库
  524. if len(addDataList) > 0 {
  525. _, tmpErr := to.InsertMulti(len(addDataList), addDataList)
  526. if tmpErr != nil {
  527. err = tmpErr
  528. return
  529. }
  530. }
  531. }
  532. //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)
  533. {
  534. if len(removeDateList) > 0 {
  535. removeDateStr := strings.Join(removeDateList, `","`)
  536. removeDateStr = `"` + removeDateStr + `"`
  537. //如果拼接指标变更了,那么需要删除所有的指标数据
  538. tableName := GetEdbDataTableName(edbInfo.Source)
  539. sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (%s) `, tableName, removeDateStr)
  540. _, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  541. if err != nil {
  542. 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())
  543. return
  544. }
  545. }
  546. }
  547. //修改现有的数据中对应的值
  548. {
  549. tableName := GetEdbDataTableName(edbInfo.Source)
  550. for edbDate, edbDataValue := range updateEdbDataMap {
  551. sql := fmt.Sprintf(` UPDATE %s set value = ?,modify_time=now() WHERE edb_info_id = ? and data_time = ? `, tableName)
  552. _, err = to.Raw(sql, edbDataValue, edbInfo.EdbInfoId, edbDate).Exec()
  553. if err != nil {
  554. err = errors.New("更新现有的累计值同比拼接指标数据失败,Err:" + err.Error())
  555. return
  556. }
  557. }
  558. }
  559. return
  560. }