edb_info.go 45 KB

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  1. package models
  2. import (
  3. "encoding/json"
  4. "errors"
  5. "eta/eta_index_lib/utils"
  6. "fmt"
  7. "github.com/beego/beego/v2/client/orm"
  8. "github.com/shopspring/decimal"
  9. "strconv"
  10. "time"
  11. )
  12. type EdbInfo struct {
  13. EdbInfoId int `orm:"column(edb_info_id);pk"`
  14. EdbInfoType int `description:"指标类型,0:普通指标,1:预测指标"`
  15. SourceName string `description:"来源名称"`
  16. Source int `description:"来源id"`
  17. EdbCode string `description:"指标编码"`
  18. EdbName string `description:"指标名称"`
  19. EdbNameEn string `description:"英文指标名称"`
  20. EdbNameSource string `description:"指标名称来源"`
  21. Frequency string `description:"频率"`
  22. Unit string `description:"单位"`
  23. UnitEn string `description:"英文单位"`
  24. StartDate string `description:"起始日期"`
  25. EndDate string `description:"终止日期"`
  26. ClassifyId int `description:"分类id"`
  27. SysUserId int
  28. SysUserRealName string
  29. UniqueCode string `description:"指标唯一编码"`
  30. CreateTime time.Time
  31. ModifyTime time.Time
  32. MinValue float64 `description:"指标最小值"`
  33. MaxValue float64 `description:"指标最大值"`
  34. CalculateFormula string `description:"计算公式"`
  35. EdbType int `description:"指标类型:1:基础指标,2:计算指标"`
  36. IsUpdate int `description:"当天是否已更新,1:未更新,2:已更新"`
  37. Sort int `description:"排序字段"`
  38. LatestDate string `description:"数据最新日期"`
  39. LatestValue float64 `description:"数据最新值"`
  40. MoveType int `description:"移动方式:1:领先(默认),2:滞后"`
  41. MoveFrequency string `description:"移动频度"`
  42. NoUpdate int8 `description:"是否停止更新,0:继续更新;1:停止更新"`
  43. ServerUrl string `description:"服务器地址"`
  44. ChartImage string `description:"图表图片"`
  45. Calendar string `description:"公历/农历" orm:"default(公历);"`
  46. DataDateType string `orm:"column(data_date_type);size(255);null;default(交易日)"`
  47. ManualSave int `description:"是否有手动保存过上下限: 0-否; 1-是"`
  48. TerminalCode string `description:"终端编码,用于配置在机器上"`
  49. DataUpdateTime string `description:"最近一次数据发生变化的时间"`
  50. ErDataUpdateDate string `description:"本次更新,数据发生变化的最早日期"`
  51. }
  52. func (e *EdbInfo) Add() (err error) {
  53. o := orm.NewOrm()
  54. _, err = o.Insert(e)
  55. return
  56. }
  57. // AddEdbInfo 添加指标
  58. func AddEdbInfo(item *EdbInfo) (lastId int64, err error) {
  59. o := orm.NewOrm()
  60. lastId, err = o.Insert(item)
  61. return
  62. }
  63. // EdbInfoList 指标数据列表
  64. type EdbInfoList struct {
  65. EdbInfoId int `orm:"column(edb_info_id);pk"`
  66. EdbInfoType int `description:"指标类型,0:普通指标,1:预测指标"`
  67. SourceName string `description:"来源名称"`
  68. Source int `description:"来源id"`
  69. EdbCode string `description:"指标编码"`
  70. EdbNameEn string `description:"英文指标名称"`
  71. EdbName string `description:"指标名称"`
  72. Frequency string `description:"频率"`
  73. FrequencyEn string `description:"英文频率"`
  74. Unit string `description:"单位"`
  75. UnitEn string `description:"英文单位"`
  76. StartDate string `description:"起始日期"`
  77. EndDate string `description:"终止日期"`
  78. LatestDate string `description:"数据最新日期"`
  79. LatestValue float64 `description:"数据最新值"`
  80. ClassifyId int `description:"分类id"`
  81. UniqueCode string `description:"指标唯一编码"`
  82. SysUserId int `description:"创建人id"`
  83. SysUserRealName string `description:"创建人姓名"`
  84. ModifyTime string `description:"最新修改时间"`
  85. CreateTime string `description:"创建时间"`
  86. EdbNameAlias string `json:"-" description:"指标名称,别名"`
  87. EdbType int `description:"指标类型:1:基础指标,2:计算指标"`
  88. ChartImage string `description:"图表图片"`
  89. RuleType int `description:"预测规则,1:最新,2:固定值"`
  90. FixedValue float64 `description:"固定值"`
  91. DataList []*EdbData `description:"实际指标数据"`
  92. PredictDataList []*EdbData `description:"预测指标数据"`
  93. Button EdbClassifyItemsButton `description:"操作权限"`
  94. IsEnEdb bool `description:"是否展示英文标识"`
  95. }
  96. // EdbClassifyItemsButton 操作按钮
  97. type EdbClassifyItemsButton struct {
  98. AddButton bool `description:"是否可添加"`
  99. OpButton bool `description:"是否可编辑"`
  100. DeleteButton bool `description:"是否可删除"`
  101. MoveButton bool `description:"是否可移动"`
  102. ShowEdbRelation bool `description:"是否展示关联指标"`
  103. ShowChartRelation bool `description:"是否展示关联图表"`
  104. }
  105. // GetEdbInfoByName 根据指标名称获取所有的指标数据列表
  106. func GetEdbInfoByName(edbName string) (items []*EdbInfoList, err error) {
  107. o := orm.NewOrm()
  108. sql := ` SELECT * FROM edb_info WHERE edb_name=? `
  109. _, err = o.Raw(sql, edbName).QueryRows(&items)
  110. return
  111. }
  112. // ModifyEdbInfoNameSource 根据来源修改指标名称
  113. func ModifyEdbInfoNameSource(edbNameSource string, edbInfoId int) (err error) {
  114. o := orm.NewOrm()
  115. sql := ` UPDATE edb_info SET edb_name_source=? WHERE edb_info_id = ? `
  116. _, err = o.Raw(sql, edbNameSource, edbInfoId).Exec()
  117. return
  118. }
  119. // GetEdbInfoById 根据指标id获取指标信息
  120. func GetEdbInfoById(edbInfoId int) (item *EdbInfo, err error) {
  121. o := orm.NewOrm()
  122. sql := ` SELECT * FROM edb_info WHERE edb_info_id=? `
  123. err = o.Raw(sql, edbInfoId).QueryRow(&item)
  124. return
  125. }
  126. // GetEdbInfoByUniqueCode 根据指标唯一编码获取指标信息
  127. func GetEdbInfoByUniqueCode(uniqueCode string) (item *EdbInfo, err error) {
  128. o := orm.NewOrm()
  129. sql := ` SELECT * FROM edb_info WHERE unique_code=? `
  130. err = o.Raw(sql, uniqueCode).QueryRow(&item)
  131. return
  132. }
  133. // GetEdbInfoByIdList 根据指标id列表获取指标信息
  134. func GetEdbInfoByIdList(edbInfoIdList []int) (items []*EdbInfo, err error) {
  135. num := len(edbInfoIdList)
  136. if num <= 0 {
  137. return
  138. }
  139. o := orm.NewOrm()
  140. sql := ` SELECT * FROM edb_info WHERE edb_info_id in (` + utils.GetOrmInReplace(num) + `) `
  141. _, err = o.Raw(sql, edbInfoIdList).QueryRows(&items)
  142. return
  143. }
  144. // Update 更新EdbInfo信息
  145. func (edbInfo *EdbInfo) Update(cols []string) (err error) {
  146. o := orm.NewOrm()
  147. _, err = o.Update(edbInfo, cols...)
  148. return
  149. }
  150. // EdbInfoSearchData
  151. type EdbInfoSearchData struct {
  152. EdbDataId int `description:"数据ID"`
  153. DataTime string `description:"数据日期"`
  154. Value float64 `description:"数据"`
  155. }
  156. // GetEdbDataListAll 获取指标数据列表 order:1升序,其余值为降序
  157. func GetEdbDataListAll(condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchData, err error) {
  158. o := orm.NewOrm()
  159. sql := ``
  160. tableName := GetEdbDataTableName(source)
  161. sql = ` SELECT * FROM %s WHERE 1=1 `
  162. sql = fmt.Sprintf(sql, tableName)
  163. if condition != "" {
  164. sql += condition
  165. }
  166. if order == 1 {
  167. sql += ` ORDER BY data_time ASC `
  168. } else {
  169. sql += ` ORDER BY data_time DESC `
  170. }
  171. _, err = o.Raw(sql, pars).QueryRows(&item)
  172. return
  173. }
  174. // GetEdbDataListAllByTo 根据事务链接获取指标数据列表 order:1升序,其余值为降序
  175. func GetEdbDataListAllByTo(to orm.TxOrmer, condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchData, err error) {
  176. sql := ``
  177. tableName := GetEdbDataTableName(source)
  178. sql = ` SELECT * FROM %s WHERE 1=1 `
  179. sql = fmt.Sprintf(sql, tableName)
  180. if condition != "" {
  181. sql += condition
  182. }
  183. if order == 1 {
  184. sql += ` ORDER BY data_time ASC `
  185. } else {
  186. sql += ` ORDER BY data_time DESC `
  187. }
  188. _, err = to.Raw(sql, pars).QueryRows(&item)
  189. return
  190. }
  191. // EdbInfoMaxAndMinInfo 指标最新数据记录结构体
  192. type EdbInfoMaxAndMinInfo struct {
  193. MinDate string `description:"最小日期"`
  194. MaxDate string `description:"最大日期"`
  195. MinValue float64 `description:"最小值"`
  196. MaxValue float64 `description:"最大值"`
  197. LatestValue float64 `description:"最新值"`
  198. LatestDate string `description:"实际数据最新日期"`
  199. }
  200. // GetEdbInfoMaxAndMinInfo 获取指标的最新数据记录信息
  201. func GetEdbInfoMaxAndMinInfo(source int, edbCode string) (item *EdbInfoMaxAndMinInfo, err error) {
  202. o := orm.NewOrm()
  203. sql := ``
  204. tableName := GetEdbDataTableName(source)
  205. sql = ` SELECT MIN(data_time) AS min_date,MAX(data_time) AS max_date,MIN(value) AS min_value,MAX(value) AS max_value FROM %s WHERE edb_code=? `
  206. sql = fmt.Sprintf(sql, tableName)
  207. err = o.Raw(sql, edbCode).QueryRow(&item)
  208. var latest_value float64
  209. sql = ` SELECT value AS latest_value FROM %s WHERE edb_code=? ORDER BY data_time DESC LIMIT 1 `
  210. sql = fmt.Sprintf(sql, tableName)
  211. err = o.Raw(sql, edbCode).QueryRow(&latest_value)
  212. item.LatestValue = latest_value
  213. return
  214. }
  215. type EdbIndoDataUpdateTime struct {
  216. MinDate string `description:"本次更新,数据发生变化的最早日期"`
  217. }
  218. // GetEdbDataUpdateTimeByModify 获取指标的刷新时间获取最早的一条记录
  219. func GetEdbDataUpdateTimeByModify(source int, edbCode string, dataUpdateTime string) (item *EdbIndoDataUpdateTime, err error) {
  220. o := orm.NewOrm()
  221. sql := ``
  222. tableName := GetEdbDataTableName(source)
  223. sql = ` SELECT MIN(data_time) AS min_date FROM %s WHERE edb_code=? and modify_time>=?`
  224. sql = fmt.Sprintf(sql, tableName)
  225. err = o.Raw(sql, edbCode, dataUpdateTime).QueryRow(&item)
  226. return
  227. }
  228. // ModifyEdbInfoMaxAndMinInfo 修改指标的最新数据信息
  229. func ModifyEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  230. o := orm.NewOrm()
  231. sql := ` UPDATE edb_info SET start_date=?,end_date=?,min_value=?,max_value=?,is_update=2,latest_date=?,latest_value=?,modify_time=NOW() WHERE edb_info_id=? `
  232. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.MaxDate, item.LatestValue, edbInfoId).Exec()
  233. return
  234. }
  235. // ModifyEdbTimeAndLastInfo 修改指标的最新数据信息(除上下限)
  236. func ModifyEdbTimeAndLastInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  237. o := orm.NewOrm()
  238. sql := `UPDATE edb_info SET start_date = ?, end_date = ?, is_update = 2,latest_date = ?, latest_value = ?, modify_time = NOW() WHERE edb_info_id = ?`
  239. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MaxDate, item.LatestValue, edbInfoId).Exec()
  240. return
  241. }
  242. // ModifyEdbDataUpdateTime 修改指标刷新,本次数据刷新的最早日期
  243. func ModifyEdbDataUpdateTime(edbInfoId int, dataUpdateTime, erDataUpdateDate string) (err error) {
  244. o := orm.NewOrm()
  245. sql := `UPDATE edb_info SET data_update_time = ?, er_data_update_date = ?, modify_time = NOW() WHERE edb_info_id = ?`
  246. _, err = o.Raw(sql, dataUpdateTime, erDataUpdateDate, edbInfoId).Exec()
  247. return
  248. }
  249. // GetEdbDataCount 获取edb指标数据的数量; order:1升序,其余值为降序
  250. func GetEdbDataCount(condition string, pars []interface{}, source int) (count int, err error) {
  251. o := orm.NewOrm()
  252. sql := ``
  253. tableName := GetEdbDataTableName(source)
  254. sql = ` SELECT COUNT(1) AS count FROM %s WHERE 1=1 `
  255. sql = fmt.Sprintf(sql, tableName)
  256. if condition != "" {
  257. sql += condition
  258. }
  259. err = o.Raw(sql, pars).QueryRow(&count)
  260. return
  261. }
  262. // GetLastEdbData 获取最近的一条指标数据
  263. func GetLastEdbData(condition string, pars []interface{}, source int) (item *EdbInfoSearchData, err error) {
  264. o := orm.NewOrm()
  265. sql := ``
  266. tableName := GetEdbDataTableName(source)
  267. sql = ` SELECT * FROM %s WHERE 1=1 `
  268. sql = fmt.Sprintf(sql, tableName)
  269. if condition != "" {
  270. sql += condition
  271. }
  272. sql += ` ORDER BY data_time DESC `
  273. err = o.Raw(sql, pars).QueryRow(&item)
  274. return
  275. }
  276. // GetEdbInfoByEdbCode 根据指标code获取指标信息
  277. func GetEdbInfoByEdbCode(source int, edbCode string) (item *EdbInfo, err error) {
  278. o := orm.NewOrm()
  279. sql := ` SELECT * FROM edb_info WHERE source=? AND edb_code=? `
  280. err = o.Raw(sql, source, edbCode).QueryRow(&item)
  281. return
  282. }
  283. // GetEdbInfoOnlyByEdbCode 仅根据指标code获取指标信息
  284. func GetEdbInfoOnlyByEdbCode(edbCode string) (item *EdbInfo, err error) {
  285. o := orm.NewOrm()
  286. sql := ` SELECT * FROM edb_info WHERE edb_code=? `
  287. err = o.Raw(sql, edbCode).QueryRow(&item)
  288. return
  289. }
  290. // GetEdbInfoCalculateListByCondition 获取指标关系列表
  291. func GetEdbInfoCalculateListByCondition(condition string, pars []interface{}) (items []*EdbInfoCalculateMapping, err error) {
  292. o := orm.NewOrm()
  293. sql := ` SELECT * FROM edb_info_calculate_mapping WHERE 1=1 `
  294. if condition != "" {
  295. sql += condition
  296. }
  297. _, err = o.Raw(sql, pars).QueryRows(&items)
  298. return
  299. }
  300. // GetEdbInfoCalculateCountByCondition 获取关联指标数量
  301. func GetEdbInfoCalculateCountByCondition(condition string, pars []interface{}) (count int, err error) {
  302. o := orm.NewOrm()
  303. sql := ` SELECT COUNT(1) AS count FROM edb_info_calculate_mapping WHERE 1=1 `
  304. if condition != "" {
  305. sql += condition
  306. }
  307. err = o.Raw(sql, pars).QueryRow(&count)
  308. return
  309. }
  310. // 优化版本-处理数据精度问题
  311. type EdbInfoSearchDataV1 struct {
  312. EdbDataId int `description:"数据ID"`
  313. DataTime string `description:"数据日期"`
  314. Value string `description:"数据"`
  315. }
  316. // 优化版本-处理数据精度问题
  317. func GetEdbDataListAllV1(condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchDataV1, err error) {
  318. o := orm.NewOrm()
  319. sql := ``
  320. tableName := GetEdbDataTableName(source)
  321. sql = ` SELECT * FROM %s WHERE 1=1 `
  322. sql = fmt.Sprintf(sql, tableName)
  323. if condition != "" {
  324. sql += condition
  325. }
  326. if order == 1 {
  327. sql += ` ORDER BY data_time ASC `
  328. } else {
  329. sql += ` ORDER BY data_time DESC `
  330. }
  331. _, err = o.Raw(sql, pars).QueryRows(&item)
  332. return
  333. }
  334. // GetEdbDataListAllV1ByTo 通过事务链接获取数据列表
  335. func GetEdbDataListAllV1ByTo(to orm.TxOrmer, condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchDataV1, err error) {
  336. sql := ``
  337. tableName := GetEdbDataTableName(source)
  338. sql = ` SELECT * FROM %s WHERE 1=1 `
  339. sql = fmt.Sprintf(sql, tableName)
  340. if condition != "" {
  341. sql += condition
  342. }
  343. if order == 1 {
  344. sql += ` ORDER BY data_time ASC `
  345. } else {
  346. sql += ` ORDER BY data_time DESC `
  347. }
  348. _, err = to.Raw(sql, pars).QueryRows(&item)
  349. return
  350. }
  351. // GetEdbInfoByCondition 获取指标列表
  352. func GetEdbInfoByCondition(condition string, pars []interface{}, order int) (item []*EdbInfo, err error) {
  353. o := orm.NewOrm()
  354. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  355. if condition != "" {
  356. sql += condition
  357. }
  358. if order == 1 {
  359. sql += ` ORDER BY end_date ASC `
  360. } else {
  361. sql += ` ORDER BY edb_info_id ASC `
  362. }
  363. _, err = o.Raw(sql, pars).QueryRows(&item)
  364. return
  365. }
  366. // UnifiedModifyEdbInfoMaxAndMinInfo 统一修改指标的最大最小值
  367. func UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo *EdbInfo) (err error, errMsg string) {
  368. // 修改最大最小值
  369. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.EdbCode)
  370. if err != nil {
  371. if err.Error() == utils.ErrNoRow() {
  372. err = nil
  373. return
  374. }
  375. errMsg = "刷新指标失败!"
  376. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  377. return
  378. }
  379. if maxAndMinItem != nil {
  380. // ETA1.0.3改-如果指标有手动保存过, 那么就不更新指标的最大最小值
  381. if edbInfo.ManualSave == 1 {
  382. err = ModifyEdbTimeAndLastInfo(edbInfo.EdbInfoId, maxAndMinItem)
  383. if err != nil {
  384. errMsg = "刷新指标失败!"
  385. err = errors.New("修改指标最新日期和数据失败,err:" + err.Error())
  386. return
  387. }
  388. } else {
  389. err = ModifyEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  390. if err != nil {
  391. errMsg = "刷新指标失败!"
  392. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  393. return
  394. }
  395. }
  396. }
  397. // 修改关联的预测指标
  398. go ModifyPredictEdbInfoMaxAndMinInfoBySourceEdbInfoId(edbInfo.EdbInfoId, maxAndMinItem)
  399. return
  400. }
  401. // UnifiedModifyEdbInfoMaxAndMinInfoDataUpdate 统一修改指标的最大最小值以及数据更新时间点
  402. func UnifiedModifyEdbInfoMaxAndMinInfoDataUpdate(edbInfo *EdbInfo, dataUpdateTime string) (erDataUpdateDate string, err error, errMsg string) {
  403. err, errMsg = UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo)
  404. if err != nil {
  405. return
  406. }
  407. // 获取本次刷新,指标数据更新的最早日期
  408. erDataUpdateTime, tErr := GetEdbDataUpdateTimeByModify(edbInfo.Source, edbInfo.EdbCode, dataUpdateTime)
  409. if tErr != nil {
  410. if tErr.Error() != utils.ErrNoRow() { //本次刷新指标数据无变化
  411. errMsg = "刷新指标失败!"
  412. err = errors.New("查询指标刷新,数据更新的最早日期失败,err:" + tErr.Error())
  413. return
  414. }
  415. } else if erDataUpdateTime.MinDate != "" {
  416. err = ModifyEdbDataUpdateTime(edbInfo.EdbInfoId, dataUpdateTime, erDataUpdateTime.MinDate)
  417. if err != nil {
  418. errMsg = "刷新指标失败!"
  419. err = errors.New("修改指标数据更新的最早日期失败,err:" + tErr.Error())
  420. return
  421. }
  422. erDataUpdateDate = erDataUpdateTime.MinDate
  423. }
  424. return
  425. }
  426. // UnifiedModifyPredictEdbInfoMaxAndMinInfo 统一修改预测运算指标的最大最小值
  427. func UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo *EdbInfo, latestDateStr string, latestValue float64) (err error, errMsg string) {
  428. // 修改最大最小值
  429. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.EdbCode)
  430. if err != nil {
  431. if err.Error() == utils.ErrNoRow() {
  432. err = nil
  433. return
  434. }
  435. errMsg = "刷新指标失败!"
  436. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  437. return
  438. }
  439. if maxAndMinItem != nil {
  440. maxAndMinItem.LatestDate = latestDateStr
  441. maxAndMinItem.LatestValue = latestValue
  442. err = ModifyPredictEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  443. if err != nil {
  444. errMsg = "刷新指标失败!"
  445. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  446. return
  447. }
  448. }
  449. return
  450. }
  451. // GetChartPredictEdbInfoDataListByConfList 获取图表的预测指标的未来数据
  452. func GetChartPredictEdbInfoDataListByConfList(predictEdbConfList []*PredictEdbConfAndData, filtrateStartDateStr, latestDateStr, endDateStr, frequency, dataDateType string, realPredictEdbInfoData []*EdbInfoSearchData) (predictEdbInfoData []*EdbInfoSearchData, minValue, maxValue float64, err error) {
  453. endDate, err := time.ParseInLocation(utils.FormatDate, endDateStr, time.Local)
  454. if err != nil {
  455. return
  456. }
  457. latestDate, err := time.ParseInLocation(utils.FormatDate, latestDateStr, time.Local)
  458. if err != nil {
  459. return
  460. }
  461. // 开始预测数据的时间
  462. startDate := latestDate
  463. // 如果有筛选时间的话
  464. if filtrateStartDateStr != `` {
  465. filtrateStartDate, tmpErr := time.ParseInLocation(utils.FormatDate, filtrateStartDateStr, time.Local)
  466. if tmpErr != nil {
  467. err = tmpErr
  468. return
  469. }
  470. //如果筛选时间晚于实际数据时间,那么就以筛选时间作为获取预测数据的时间
  471. if filtrateStartDate.After(latestDate) {
  472. startDate = filtrateStartDate.AddDate(0, 0, -1)
  473. }
  474. }
  475. //var dateArr []string
  476. // 对应日期的值
  477. existMap := make(map[string]float64)
  478. for _, v := range realPredictEdbInfoData {
  479. //dateArr = append(dateArr, v.DataTime)
  480. existMap[v.DataTime] = v.Value
  481. }
  482. predictEdbInfoData = make([]*EdbInfoSearchData, 0)
  483. //dataValue := lastDataValue
  484. //预测规则,1:最新,2:固定值,3:同比,4:同差,5:环比,6:环差,7:N期移动均值,8:N期段线性外推值
  485. for _, predictEdbConf := range predictEdbConfList {
  486. dataEndTime := endDate
  487. if predictEdbConf.EndDate.Before(dataEndTime) {
  488. dataEndTime = predictEdbConf.EndDate
  489. }
  490. var tmpMinValue, tmpMaxValue float64 // 当前预测结果中的最大/最小值
  491. dayList := getPredictEdbDayList(startDate, dataEndTime, frequency, dataDateType)
  492. if len(dayList) <= 0 { // 如果未来没有日期的话,那么就退出当前循环,进入下一个循环
  493. continue
  494. }
  495. switch predictEdbConf.RuleType {
  496. case 1: //1:最新
  497. var lastDataValue float64 //最新值
  498. tmpAllData := make([]*EdbInfoSearchData, 0)
  499. tmpAllData = append(tmpAllData, realPredictEdbInfoData...)
  500. tmpAllData = append(tmpAllData, predictEdbInfoData...)
  501. lenTmpAllData := len(tmpAllData)
  502. if lenTmpAllData > 0 {
  503. lastDataValue = tmpAllData[lenTmpAllData-1].Value
  504. }
  505. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, lastDataValue, dayList, predictEdbInfoData, existMap)
  506. tmpMaxValue = lastDataValue
  507. tmpMinValue = lastDataValue
  508. case 2: //2:固定值
  509. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  510. if tmpErr != nil {
  511. err = tmpErr
  512. return
  513. }
  514. dataValue, _ := tmpValDecimal.Float64()
  515. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, dataValue, dayList, predictEdbInfoData, existMap)
  516. tmpMaxValue = dataValue
  517. tmpMinValue = dataValue
  518. case 3: //3:同比
  519. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  520. if tmpErr != nil {
  521. err = tmpErr
  522. return
  523. }
  524. tbValue, _ := tmpValDecimal.Float64()
  525. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTb(predictEdbConf.PredictEdbInfoId, tbValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  526. case 4: //4:同差
  527. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  528. if tmpErr != nil {
  529. err = tmpErr
  530. return
  531. }
  532. tcValue, _ := tmpValDecimal.Float64()
  533. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTc(predictEdbConf.PredictEdbInfoId, tcValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  534. case 5: //5:环比
  535. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  536. if tmpErr != nil {
  537. err = tmpErr
  538. return
  539. }
  540. hbValue, _ := tmpValDecimal.Float64()
  541. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHb(predictEdbConf.PredictEdbInfoId, hbValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  542. case 6: //6:环差
  543. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  544. if tmpErr != nil {
  545. err = tmpErr
  546. return
  547. }
  548. hcValue, _ := tmpValDecimal.Float64()
  549. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHc(predictEdbConf.PredictEdbInfoId, hcValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  550. case 7: //7:N期移动均值
  551. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  552. if tmpErr != nil {
  553. err = tmpErr
  554. return
  555. }
  556. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleNMoveMeanValue(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  557. case 8: //8:N期段线性外推值
  558. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  559. if tmpErr != nil {
  560. err = tmpErr
  561. return
  562. }
  563. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNLinearRegression(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  564. if err != nil {
  565. return
  566. }
  567. case 9: //9:动态环差”预测规则;
  568. hcDataMap := make(map[string]float64) //规则计算的环差值map
  569. if predictEdbConf.PredictEdbInfoId > 0 {
  570. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  571. if tmpErr != nil {
  572. err = tmpErr
  573. return
  574. }
  575. for _, v := range tmpPredictEdbRuleDataList {
  576. hcDataMap[v.DataTime] = v.Value
  577. }
  578. } else {
  579. if len(predictEdbConf.DataList) <= 0 {
  580. return
  581. }
  582. for _, v := range predictEdbConf.DataList {
  583. currentDate, tmpErr := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
  584. if tmpErr != nil {
  585. continue
  586. }
  587. // 只处理时间段内的数据
  588. if currentDate.Before(startDate) || currentDate.After(endDate) {
  589. continue
  590. }
  591. hcDataMap[v.DataTime] = v.Value
  592. }
  593. }
  594. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTrendsHC(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, hcDataMap, existMap)
  595. case 10: //10:根据 给定终值后插值 规则获取预测数据
  596. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  597. if tmpErr != nil {
  598. err = tmpErr
  599. return
  600. }
  601. finalValue, _ := tmpValDecimal.Float64()
  602. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleFinalValueHc(predictEdbConf.PredictEdbInfoId, finalValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  603. case 11: //11:根据 季节性 规则获取预测数据
  604. var seasonConf SeasonConf
  605. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &seasonConf)
  606. if tmpErr != nil {
  607. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  608. return
  609. }
  610. calendar := "公历"
  611. if seasonConf.Calendar == "农历" {
  612. calendar = "农历"
  613. }
  614. yearList := make([]int, 0)
  615. //选择方式,1:连续N年;2:指定年份
  616. if seasonConf.YearType == 1 {
  617. if seasonConf.NValue < 1 {
  618. err = errors.New("连续N年不允许小于1")
  619. return
  620. }
  621. currYear := time.Now().Year()
  622. for i := 0; i < seasonConf.NValue; i++ {
  623. yearList = append(yearList, currYear-i-1)
  624. }
  625. } else {
  626. yearList = seasonConf.YearList
  627. }
  628. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleSeason(predictEdbConf.PredictEdbInfoId, yearList, calendar, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  629. if err != nil {
  630. return
  631. }
  632. case 12: //12:根据 移动平均同比 规则获取预测数据
  633. var moveAverageConf MoveAverageConf
  634. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &moveAverageConf)
  635. if tmpErr != nil {
  636. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  637. return
  638. }
  639. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleMoveAverageTb(predictEdbConf.PredictEdbInfoId, moveAverageConf.NValue, moveAverageConf.Year, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  640. if err != nil {
  641. return
  642. }
  643. case 13: //13:根据 同比增速差值 规则获取预测数据
  644. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  645. if tmpErr != nil {
  646. err = tmpErr
  647. return
  648. }
  649. tbEndValue, _ := tmpValDecimal.Float64()
  650. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTbzscz(predictEdbConf.PredictEdbInfoId, tbEndValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  651. case 14: //14:根据 一元线性拟合 规则获取预测数据
  652. var ruleConf RuleLineNhConf
  653. err = json.Unmarshal([]byte(predictEdbConf.Value), &ruleConf)
  654. if err != nil {
  655. err = errors.New("一元线性拟合规则配置信息异常:" + err.Error())
  656. return
  657. }
  658. // 规则计算的拟合残差值map
  659. newNhccDataMap := make(map[string]float64)
  660. if predictEdbConf.PredictEdbInfoId > 0 { //已经生成的动态数据
  661. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  662. if tmpErr != nil {
  663. err = tmpErr
  664. return
  665. }
  666. for _, v := range tmpPredictEdbRuleDataList {
  667. newNhccDataMap[v.DataTime] = v.Value
  668. }
  669. } else { //未生成的动态数据,需要使用外部传入的数据进行计算
  670. newNhccDataMap, err, _ = getCalculateNhccData(append(realPredictEdbInfoData, predictEdbInfoData...), ruleConf)
  671. }
  672. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleLineNh(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, newNhccDataMap, existMap)
  673. if err != nil {
  674. return
  675. }
  676. case 15: //15:N年均值:过去N年同期均值。过去N年可以连续或者不连续,指标数据均用线性插值补全为日度数据后计算;
  677. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNAnnualAverage(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  678. if err != nil {
  679. return
  680. }
  681. case 16: //16:年度值倒推
  682. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleAnnualValueInversion(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  683. if err != nil {
  684. return
  685. }
  686. }
  687. // 下一个规则的开始日期
  688. {
  689. lenPredictEdbInfoData := len(predictEdbInfoData)
  690. if lenPredictEdbInfoData > 0 {
  691. tmpDataEndTime, _ := time.ParseInLocation(utils.FormatDate, predictEdbInfoData[lenPredictEdbInfoData-1].DataTime, time.Local)
  692. if startDate.Before(tmpDataEndTime) {
  693. startDate = tmpDataEndTime
  694. }
  695. }
  696. }
  697. if tmpMinValue < minValue {
  698. minValue = tmpMinValue
  699. }
  700. if tmpMaxValue < maxValue {
  701. maxValue = tmpMaxValue
  702. }
  703. }
  704. return
  705. }
  706. // GetPredictEdbDayList 获取预测指标日期列表
  707. // GetPredictEdbDayList 获取预测指标日期列表
  708. func getPredictEdbDayList(startDate, endDate time.Time, frequency, dataDateType string) (dayList []time.Time) {
  709. if dataDateType == `` {
  710. dataDateType = `交易日`
  711. }
  712. switch frequency {
  713. case "日度":
  714. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 1) {
  715. // 如果日期类型是交易日的时候,那么需要将周六、日排除
  716. if dataDateType == `交易日` && (currDate.Weekday() == time.Sunday || currDate.Weekday() == time.Saturday) {
  717. continue
  718. }
  719. dayList = append(dayList, currDate)
  720. }
  721. case "周度":
  722. //nextDate := startDate.AddDate(0, 0, 7)
  723. for currDate := startDate.AddDate(0, 0, 7); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 7) {
  724. dayList = append(dayList, currDate)
  725. }
  726. case "旬度":
  727. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); {
  728. nextDate := currDate.AddDate(0, 0, 1)
  729. //每个月的10号、20号、最后一天,那么就写入
  730. if nextDate.Day() == 11 || nextDate.Day() == 21 || nextDate.Day() == 1 {
  731. dayList = append(dayList, currDate)
  732. }
  733. currDate = nextDate
  734. }
  735. case "月度":
  736. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  737. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  738. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  739. dayList = append(dayList, currDate)
  740. }
  741. currDate = currDate.AddDate(0, 0, 1)
  742. }
  743. case "季度":
  744. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  745. // 每月的最后一天
  746. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  747. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  748. // 季度日期就写入,否则不写入
  749. if currDate.Month() == 3 || currDate.Month() == 6 || currDate.Month() == 9 || currDate.Month() == 12 {
  750. dayList = append(dayList, currDate)
  751. }
  752. }
  753. currDate = currDate.AddDate(0, 0, 1)
  754. }
  755. case "半年度":
  756. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  757. // 每月的最后一天
  758. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  759. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  760. // 半年度日期就写入,否则不写入
  761. if currDate.Month() == 6 || currDate.Month() == 12 {
  762. dayList = append(dayList, currDate)
  763. }
  764. }
  765. currDate = currDate.AddDate(0, 0, 1)
  766. }
  767. case "年度":
  768. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  769. currDate = time.Date(currDate.Year()+1, 12, 31, 0, 0, 0, 0, time.Now().Location())
  770. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  771. dayList = append(dayList, currDate)
  772. }
  773. }
  774. }
  775. return
  776. }
  777. // GetPredictDataListByPredictEdbInfo 根据预测指标信息获取预测指标的数据,order:1升序,其余值为降序
  778. func GetPredictDataListByPredictEdbInfo(edbInfo *EdbInfo, order int, startDate string) (dataList []*EdbInfoSearchData, sourceEdbInfoItem *EdbInfo, err error, errMsg string) {
  779. // 查找该预测指标配置
  780. predictEdbConfList, err := GetPredictEdbConfAndDataListById(edbInfo.EdbInfoId)
  781. if err != nil && err.Error() != utils.ErrNoRow() {
  782. errMsg = "获取预测指标配置信息失败"
  783. return
  784. }
  785. if len(predictEdbConfList) == 0 {
  786. errMsg = "获取预测指标配置信息失败"
  787. err = errors.New(errMsg)
  788. return
  789. }
  790. predictEdbConf := predictEdbConfList[0]
  791. // 来源指标
  792. sourceEdbInfoItem, err = GetEdbInfoById(predictEdbConf.SourceEdbInfoId)
  793. if err != nil {
  794. if err.Error() == utils.ErrNoRow() {
  795. errMsg = "找不到来源指标信息"
  796. err = errors.New(errMsg)
  797. }
  798. return
  799. }
  800. dataList, err, errMsg = GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem, predictEdbConfList, order, startDate)
  801. return
  802. }
  803. // GetPredictDataListByPredictEdbConfList 根据预测指标信息获取预测指标的数据,order:1升序,其余值为降序
  804. func GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem *EdbInfo, predictEdbConfList []*PredictEdbConfAndData, order int, startDate string) (dataList []*EdbInfoSearchData, err error, errMsg string) {
  805. allDataList := make([]*EdbInfoSearchData, 0)
  806. //获取指标数据(实际已生成)
  807. var condition string
  808. var pars []interface{}
  809. condition += " AND edb_info_id=? "
  810. pars = append(pars, sourceEdbInfoItem.EdbInfoId)
  811. if startDate != "" {
  812. condition += " AND data_time>=? "
  813. pars = append(pars, startDate)
  814. }
  815. tmpDataList, err := GetEdbDataListAll(condition, pars, sourceEdbInfoItem.Source, 1)
  816. if err != nil {
  817. return
  818. }
  819. // 如果选择了日期,那么需要筛选所有的数据,用于未来指标的生成
  820. if startDate != `` {
  821. allDataList, err = GetEdbDataListAll(" AND edb_info_id=? ", []interface{}{sourceEdbInfoItem.EdbInfoId}, sourceEdbInfoItem.Source, 1)
  822. if err != nil {
  823. return
  824. }
  825. } else {
  826. allDataList = tmpDataList
  827. }
  828. // 获取预测指标未来的数据
  829. predictDataList := make([]*EdbInfoSearchData, 0)
  830. endDateStr := edbInfo.EndDate //预测指标的结束日期
  831. var predictMinValue, predictMaxValue float64
  832. // 如果有配置的预测规则,那么就进行预测
  833. if len(predictEdbConfList) > 0 {
  834. predictDataList, predictMinValue, predictMaxValue, err = GetChartPredictEdbInfoDataListByConfList(predictEdbConfList, startDate, sourceEdbInfoItem.LatestDate, endDateStr, edbInfo.Frequency, edbInfo.DataDateType, allDataList)
  835. if err != nil {
  836. return
  837. }
  838. }
  839. //order:1升序,其余值为降序
  840. if order == 1 {
  841. dataList = append(tmpDataList, predictDataList...)
  842. } else {
  843. // 先倒序预测数据
  844. lenPredictDataList := len(predictDataList)
  845. if lenPredictDataList > 0 {
  846. for k := range predictDataList {
  847. dataList = append(dataList, predictDataList[lenPredictDataList-k-1])
  848. }
  849. }
  850. // 接着倒序实际指标
  851. lenDataList := len(tmpDataList)
  852. for k := range tmpDataList {
  853. dataList = append(dataList, tmpDataList[lenDataList-k-1])
  854. }
  855. }
  856. if len(predictDataList) > 0 {
  857. // 如果最小值 大于 预测值,那么将预测值作为最小值数据返回
  858. if edbInfo.MinValue > predictMinValue {
  859. edbInfo.MinValue = predictMinValue
  860. }
  861. // 如果最大值 小于 预测值,那么将预测值作为最大值数据返回
  862. if edbInfo.MaxValue < predictMaxValue {
  863. edbInfo.MaxValue = predictMaxValue
  864. }
  865. }
  866. return
  867. }
  868. // GetPredictEdbDataListAll 获取该预测指标所有的数据 ,order:1升序,其余值为降序
  869. func GetPredictEdbDataListAll(edbInfo *EdbInfo, order int) (items []*EdbInfoSearchData, err error) {
  870. if edbInfo.Source == utils.DATA_SOURCE_PREDICT { //普通的预测指标是没有入库数据的,直接往配置里面获取
  871. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, 1, "")
  872. } else {
  873. var condition string
  874. var pars []interface{}
  875. condition += " AND edb_info_id=? "
  876. pars = append(pars, edbInfo.EdbInfoId)
  877. items, err = GetEdbDataListAll(condition, pars, edbInfo.Source, order)
  878. }
  879. return
  880. }
  881. // GetPredictEdbDataListAllByStartDate 根据开始日期获取该预测指标所有的数据 ,order:1升序,其余值为降序
  882. func GetPredictEdbDataListAllByStartDate(edbInfo *EdbInfo, order int, startDate string) (items []*EdbInfoSearchData, err error) {
  883. if edbInfo.Source == utils.DATA_SOURCE_PREDICT { //普通的预测指标是没有入库数据的,直接往配置里面获取
  884. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, order, startDate)
  885. } else {
  886. var condition string
  887. var pars []interface{}
  888. condition += " AND edb_info_id=? "
  889. pars = append(pars, edbInfo.EdbInfoId)
  890. if startDate != "" {
  891. condition += " AND data_time>=? "
  892. pars = append(pars, startDate)
  893. }
  894. items, err = GetEdbDataListAll(condition, pars, edbInfo.Source, order)
  895. }
  896. return
  897. }
  898. // ModifyPredictEdbInfoMaxAndMinInfo 修改预测指标的最新数据信息
  899. func ModifyPredictEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  900. o := orm.NewOrm()
  901. sql := ` UPDATE edb_info SET start_date=?,end_date=?,min_value=?,max_value=?,is_update=2,latest_date=?,latest_value=?,modify_time=NOW() WHERE edb_info_id=? `
  902. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.LatestDate, item.LatestValue, edbInfoId).Exec()
  903. return
  904. }
  905. // ModifyCalculateEdbInfo 修改计算指标信息
  906. func ModifyCalculateEdbInfo(edbName, frequency, unit, calculateFormula string, classifyId, edbInfoId int) (err error) {
  907. o := orm.NewOrm()
  908. sql := ` UPDATE edb_info
  909. SET
  910. edb_name =?,
  911. edb_name_source =?,
  912. frequency = ?,
  913. unit = ?,
  914. classify_id = ?,
  915. calculate_formula=?,
  916. modify_time = NOW()
  917. WHERE edb_info_id = ?`
  918. _, err = o.Raw(sql, edbName, edbName, frequency, unit, classifyId, calculateFormula, edbInfoId).Exec()
  919. return
  920. }
  921. func GetEdbInfoItemByCondition(condition string, pars []interface{}) (item *EdbInfoList, err error) {
  922. o := orm.NewOrm()
  923. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  924. if condition != "" {
  925. sql += condition
  926. }
  927. err = o.Raw(sql, pars).QueryRow(&item)
  928. return
  929. }
  930. func GetEdbInfoItemListByCondition() (items []*EdbInfoList, err error) {
  931. o := orm.NewOrm()
  932. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  933. _, err = o.Raw(sql).QueryRows(&items)
  934. return
  935. }
  936. // EdbInfoDetailReq 指标详情请求
  937. type EdbInfoDetailReq struct {
  938. UniqueCode string `description:"指标唯一编码"`
  939. EdbCode string `description:"指标编码"`
  940. }
  941. // EdbInfoDetailResp 指标详情返回
  942. type EdbInfoDetailResp struct {
  943. SourceName string `description:"来源名称"`
  944. EdbCode string `description:"指标编码"`
  945. EdbName string `description:"指标名称"`
  946. EdbNameSource string `description:"指标名称来源"`
  947. Frequency string `description:"频率"`
  948. Unit string `description:"单位"`
  949. StartDate string `description:"起始日期"`
  950. EndDate string `description:"终止日期"`
  951. UniqueCode string `description:"指标唯一编码"`
  952. CreateTime time.Time
  953. ModifyTime time.Time
  954. MinValue float64 `description:"指标最小值"`
  955. MaxValue float64 `description:"指标最大值"`
  956. EdbNameEn string `description:"英文指标名称"`
  957. UnitEn string `description:"英文单位"`
  958. LatestDate string `description:"数据最新日期"`
  959. LatestValue float64 `description:"数据最新值"`
  960. ChartImage string `description:"图表图片"`
  961. DataList []*EdbInfoSearchData
  962. }
  963. type AddEdbInfoParams struct {
  964. Source int `description:"来源id"`
  965. EdbCode string `description:"指标编码"`
  966. EdbName string `description:"指标名称"`
  967. Frequency string `description:"频率"`
  968. Unit string `description:"单位"`
  969. ClassifyId int `description:"分类id"`
  970. }
  971. // EdbInfoAdd 添加指标到指标库
  972. func EdbInfoAdd(req *AddEdbInfoParams, serverUrl string, sysUserId int, sysUserRealName string) (edbInfo *EdbInfo, err error) {
  973. source := req.Source
  974. //判断指标名称是否存在
  975. var condition string
  976. var pars []interface{}
  977. //condition += " AND source=? "
  978. //pars = append(pars, source)
  979. condition += " AND edb_code=? "
  980. pars = append(pars, req.EdbCode)
  981. items, err := GetEdbInfoByCondition(condition, pars, 0)
  982. if err != nil {
  983. err = errors.New("判断指标是否存在失败,Err:" + err.Error())
  984. return
  985. }
  986. if len(items) > 0 {
  987. sql := ` UPDATE edb_info SET classify_id=?,modify_time=NOW() WHERE edb_code=? `
  988. o := orm.NewOrm()
  989. _, err = o.Raw(sql, req.ClassifyId, req.EdbCode).Exec()
  990. if err != nil {
  991. err = errors.New("更新指标分类信息失败,Err:" + err.Error())
  992. return
  993. }
  994. edbInfo = items[0]
  995. return
  996. }
  997. edbInfo = new(EdbInfo)
  998. edbInfo.Source = source
  999. sourceNameMap := map[int]string{
  1000. utils.DATA_SOURCE_THS: "同花顺",
  1001. utils.DATA_SOURCE_WIND: "wind",
  1002. utils.DATA_SOURCE_PB: "彭博",
  1003. utils.DATA_SOURCE_PB_FINANCE: "彭博财务",
  1004. utils.DATA_SOURCE_MANUAL: "手工数据",
  1005. utils.DATA_SOURCE_LZ: "隆众",
  1006. utils.DATA_SOURCE_YS: "SMM",
  1007. utils.DATA_SOURCE_GL: "钢联",
  1008. utils.DATA_SOURCE_ZZ: "郑商所",
  1009. utils.DATA_SOURCE_DL: "大商所",
  1010. utils.DATA_SOURCE_SH: "上期所",
  1011. utils.DATA_SOURCE_CFFEX: "中金所",
  1012. utils.DATA_SOURCE_SHFE: "上期能源",
  1013. utils.DATA_SOURCE_GIE: "欧洲天然气",
  1014. utils.DATA_SOURCE_LT: "路透",
  1015. utils.DATA_SOURCE_COAL: "中国煤炭网",
  1016. utils.DATA_SOURCE_GOOGLE_TRAVEL: "our world in data",
  1017. utils.DATA_SOURCE_MYSTEEL_CHEMICAL: "钢联化工",
  1018. utils.DATA_SOURCE_EIA_STEO: "EIA STEO报告",
  1019. utils.DATA_SOURCE_COM_TRADE: "UN",
  1020. utils.DATA_SOURCE_SCI: "SCI",
  1021. utils.DATA_SOURCE_BAIINFO: "BAIINFO",
  1022. utils.DATA_SOURCE_STOCK_PLANT: "存量装置",
  1023. utils.DATA_SOURCE_NATIONAL_STATISTICS: "国家统计局",
  1024. utils.DATA_SOURCE_FUBAO: "富宝数据",
  1025. }
  1026. sourceName, ok := sourceNameMap[source]
  1027. if !ok {
  1028. err = errors.New("指标来源异常")
  1029. return
  1030. }
  1031. edbInfo.SourceName = sourceName
  1032. edbType := 1 //基础指标
  1033. if source == utils.DATA_SOURCE_STOCK_PLANT {
  1034. edbType = 2 //计算指标
  1035. }
  1036. // 钢联化工需要校验下信息是否完整
  1037. if source == utils.DATA_SOURCE_MYSTEEL_CHEMICAL {
  1038. indexObj := new(BaseFromMysteelChemicalIndex)
  1039. tmpItem, tmpErr := indexObj.GetIndexItem(req.EdbCode)
  1040. if tmpErr != nil {
  1041. err = tmpErr
  1042. return
  1043. }
  1044. if tmpItem == nil || tmpItem.IndexName == `` {
  1045. err = errors.New("指标信息不全")
  1046. return
  1047. }
  1048. }
  1049. edbInfo.EdbCode = req.EdbCode
  1050. edbInfo.EdbName = req.EdbName
  1051. edbInfo.EdbNameSource = req.EdbName
  1052. edbInfo.Frequency = req.Frequency
  1053. edbInfo.Unit = req.Unit
  1054. edbInfo.ClassifyId = req.ClassifyId
  1055. edbInfo.SysUserId = sysUserId
  1056. edbInfo.SysUserRealName = sysUserRealName
  1057. edbInfo.StartDate = "1990-01-01"
  1058. edbInfo.CreateTime = time.Now()
  1059. edbInfo.ModifyTime = time.Now()
  1060. edbInfo.ServerUrl = serverUrl
  1061. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1062. edbInfo.UniqueCode = utils.MD5(utils.DATA_PREFIX + "_" + req.EdbCode + timestamp)
  1063. itemVal, err := GetEdbInfoMaxAndMinInfo(source, req.EdbCode)
  1064. if itemVal != nil && err == nil {
  1065. edbInfo.MaxValue = itemVal.MaxValue
  1066. edbInfo.MinValue = itemVal.MinValue
  1067. }
  1068. edbInfo.EdbType = edbType
  1069. edbInfoId, err := AddEdbInfo(edbInfo)
  1070. if err != nil {
  1071. err = errors.New("保存失败,Err:" + err.Error())
  1072. return
  1073. }
  1074. edbInfo.EdbInfoId = int(edbInfoId)
  1075. return
  1076. }
  1077. // EdbInfoRefreshCheckReq 指标数据更新情况查询
  1078. type EdbInfoRefreshCheckReq struct {
  1079. Source int `description:"来源id"`
  1080. LatestDate string `description:"数据最新日期"`
  1081. FrequencyBatch string `description:"更新频度"`
  1082. }
  1083. // EdbInfoRefreshCheckResp 指标数据更新情况查询
  1084. type EdbInfoRefreshCheckResp struct {
  1085. UpdateNum int `description:"已更新指标数"`
  1086. UnUpdateNum int `description:"未更新指标数"`
  1087. }
  1088. // ResetEdbClassifyReq 指标重新分类请求体
  1089. type ResetEdbClassifyReq struct {
  1090. IndexCode string `description:"指标编码"`
  1091. ClassifyFirst string `description:"一级分类名称"`
  1092. ClassifySecond string `description:"二级分类名称"`
  1093. ClassifyThird string `description:"三级分类名称"`
  1094. }