edb_info.go 47 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(实际日期)"`
  39. LatestValue float64 `description:"数据最新值(实际值)"`
  40. EndValue float64 `description:"数据的最新值(预测日期的最新值)"`
  41. MoveType int `description:"移动方式:1:领先(默认),2:滞后"`
  42. MoveFrequency string `description:"移动频度"`
  43. NoUpdate int8 `description:"是否停止更新,0:继续更新;1:停止更新"`
  44. ServerUrl string `description:"服务器地址"`
  45. ChartImage string `description:"图表图片"`
  46. Calendar string `description:"公历/农历" orm:"default(公历);"`
  47. EmptyType int `description:"空值处理类型(0查找前后35天,1不计算,2前值填充,3后值填充,4等于0)"`
  48. MaxEmptyType int `description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  49. DataDateType string `orm:"column(data_date_type);size(255);null;default(交易日)"`
  50. ManualSave int `description:"是否有手动保存过上下限: 0-否; 1-是"`
  51. TerminalCode string `description:"终端编码,用于配置在机器上"`
  52. DataUpdateTime string `description:"最近一次数据发生变化的时间"`
  53. ErDataUpdateDate string `description:"本次更新,数据发生变化的最早日期"`
  54. SourceIndexName string `description:"数据源中的指标名称"`
  55. }
  56. func (e *EdbInfo) Add() (err error) {
  57. o := orm.NewOrm()
  58. _, err = o.Insert(e)
  59. return
  60. }
  61. // AddEdbInfo 添加指标
  62. func AddEdbInfo(item *EdbInfo) (lastId int64, err error) {
  63. o := orm.NewOrm()
  64. lastId, err = o.Insert(item)
  65. return
  66. }
  67. // EdbInfoList 指标数据列表
  68. type EdbInfoList struct {
  69. EdbInfoId int `orm:"column(edb_info_id);pk"`
  70. EdbInfoType int `description:"指标类型,0:普通指标,1:预测指标"`
  71. SourceName string `description:"来源名称"`
  72. Source int `description:"来源id"`
  73. EdbCode string `description:"指标编码"`
  74. EdbNameEn string `description:"英文指标名称"`
  75. EdbName string `description:"指标名称"`
  76. Frequency string `description:"频率"`
  77. FrequencyEn string `description:"英文频率"`
  78. Unit string `description:"单位"`
  79. UnitEn string `description:"英文单位"`
  80. StartDate string `description:"起始日期"`
  81. EndDate string `description:"终止日期"`
  82. LatestDate string `description:"数据最新日期(实际日期)"`
  83. LatestValue float64 `description:"数据最新值(实际值)"`
  84. EndValue float64 `description:"数据的最新值(预测日期的最新值)"`
  85. ClassifyId int `description:"分类id"`
  86. UniqueCode string `description:"指标唯一编码"`
  87. SysUserId int `description:"创建人id"`
  88. SysUserRealName string `description:"创建人姓名"`
  89. ModifyTime string `description:"最新修改时间"`
  90. CreateTime string `description:"创建时间"`
  91. EdbNameAlias string `json:"-" description:"指标名称,别名"`
  92. EdbType int `description:"指标类型:1:基础指标,2:计算指标"`
  93. ChartImage string `description:"图表图片"`
  94. RuleType int `description:"预测规则,1:最新,2:固定值"`
  95. FixedValue float64 `description:"固定值"`
  96. DataList []*EdbData `description:"实际指标数据"`
  97. PredictDataList []*EdbData `description:"预测指标数据"`
  98. Button EdbClassifyItemsButton `description:"操作权限"`
  99. IsEnEdb bool `description:"是否展示英文标识"`
  100. }
  101. // EdbClassifyItemsButton 操作按钮
  102. type EdbClassifyItemsButton struct {
  103. AddButton bool `description:"是否可添加"`
  104. OpButton bool `description:"是否可编辑"`
  105. DeleteButton bool `description:"是否可删除"`
  106. MoveButton bool `description:"是否可移动"`
  107. ShowEdbRelation bool `description:"是否展示关联指标"`
  108. ShowChartRelation bool `description:"是否展示关联图表"`
  109. }
  110. // GetEdbInfoByName 根据指标名称获取所有的指标数据列表
  111. func GetEdbInfoByName(edbName string) (items []*EdbInfoList, err error) {
  112. o := orm.NewOrm()
  113. sql := ` SELECT * FROM edb_info WHERE edb_name=? `
  114. _, err = o.Raw(sql, edbName).QueryRows(&items)
  115. return
  116. }
  117. // ModifyEdbInfoNameSource 根据来源修改指标名称
  118. func ModifyEdbInfoNameSource(edbNameSource string, edbInfoId int) (err error) {
  119. o := orm.NewOrm()
  120. sql := ` UPDATE edb_info SET edb_name_source=? WHERE edb_info_id = ? `
  121. _, err = o.Raw(sql, edbNameSource, edbInfoId).Exec()
  122. return
  123. }
  124. // GetEdbInfoById 根据指标id获取指标信息
  125. func GetEdbInfoById(edbInfoId int) (item *EdbInfo, err error) {
  126. o := orm.NewOrm()
  127. sql := ` SELECT * FROM edb_info WHERE edb_info_id=? `
  128. err = o.Raw(sql, edbInfoId).QueryRow(&item)
  129. return
  130. }
  131. // GetEdbInfoByUniqueCode 根据指标唯一编码获取指标信息
  132. func GetEdbInfoByUniqueCode(uniqueCode string) (item *EdbInfo, err error) {
  133. o := orm.NewOrm()
  134. sql := ` SELECT * FROM edb_info WHERE unique_code=? `
  135. err = o.Raw(sql, uniqueCode).QueryRow(&item)
  136. return
  137. }
  138. // GetEdbInfoByIdList 根据指标id列表获取指标信息
  139. func GetEdbInfoByIdList(edbInfoIdList []int) (items []*EdbInfo, err error) {
  140. num := len(edbInfoIdList)
  141. if num <= 0 {
  142. return
  143. }
  144. o := orm.NewOrm()
  145. sql := ` SELECT * FROM edb_info WHERE edb_info_id in (` + utils.GetOrmInReplace(num) + `) `
  146. _, err = o.Raw(sql, edbInfoIdList).QueryRows(&items)
  147. return
  148. }
  149. // Update 更新EdbInfo信息
  150. func (edbInfo *EdbInfo) Update(cols []string) (err error) {
  151. o := orm.NewOrm()
  152. _, err = o.Update(edbInfo, cols...)
  153. return
  154. }
  155. // EdbInfoSearchData
  156. type EdbInfoSearchData struct {
  157. EdbDataId int `description:"数据ID"`
  158. DataTime string `description:"数据日期"`
  159. Value float64 `description:"数据"`
  160. }
  161. // GetEdbDataListAll 获取指标数据列表 order:1升序,其余值为降序
  162. func GetEdbDataListAll(condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchData, err error) {
  163. o := orm.NewOrm()
  164. sql := ``
  165. tableName := GetEdbDataTableName(source)
  166. sql = ` SELECT * FROM %s WHERE 1=1 `
  167. sql = fmt.Sprintf(sql, tableName)
  168. if condition != "" {
  169. sql += condition
  170. }
  171. if order == 1 {
  172. sql += ` ORDER BY data_time ASC `
  173. } else {
  174. sql += ` ORDER BY data_time DESC `
  175. }
  176. _, err = o.Raw(sql, pars).QueryRows(&item)
  177. return
  178. }
  179. // 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
  180. func GetEdbDataListAllByTo(to orm.TxOrmer, condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchData, err error) {
  181. sql := ``
  182. tableName := GetEdbDataTableName(source)
  183. sql = ` SELECT * FROM %s WHERE 1=1 `
  184. sql = fmt.Sprintf(sql, tableName)
  185. if condition != "" {
  186. sql += condition
  187. }
  188. if order == 1 {
  189. sql += ` ORDER BY data_time ASC `
  190. } else {
  191. sql += ` ORDER BY data_time DESC `
  192. }
  193. _, err = to.Raw(sql, pars).QueryRows(&item)
  194. return
  195. }
  196. // EdbInfoMaxAndMinInfo 指标最新数据记录结构体
  197. type EdbInfoMaxAndMinInfo struct {
  198. MinDate string `description:"最小日期"`
  199. MaxDate string `description:"最大日期"`
  200. MinValue float64 `description:"最小值"`
  201. MaxValue float64 `description:"最大值"`
  202. LatestValue float64 `description:"最新值"`
  203. LatestDate string `description:"实际数据最新日期"`
  204. EndValue float64 `description:"最新值"`
  205. }
  206. // GetEdbInfoMaxAndMinInfo 获取指标的最新数据记录信息
  207. func GetEdbInfoMaxAndMinInfo(source int, edbCode string) (item *EdbInfoMaxAndMinInfo, err error) {
  208. o := orm.NewOrm()
  209. sql := ``
  210. tableName := GetEdbDataTableName(source)
  211. 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=? `
  212. sql = fmt.Sprintf(sql, tableName)
  213. err = o.Raw(sql, edbCode).QueryRow(&item)
  214. var latest_value float64
  215. sql = ` SELECT value AS latest_value FROM %s WHERE edb_code=? ORDER BY data_time DESC LIMIT 1 `
  216. sql = fmt.Sprintf(sql, tableName)
  217. err = o.Raw(sql, edbCode).QueryRow(&latest_value)
  218. item.LatestValue = latest_value
  219. return
  220. }
  221. type EdbIndoDataUpdateTime struct {
  222. MinDate string `description:"本次更新,数据发生变化的最早日期"`
  223. }
  224. // GetEdbDataUpdateTimeByModify 获取指标的刷新时间获取最早的一条记录
  225. func GetEdbDataUpdateTimeByModify(source int, edbCode string, dataUpdateTime string) (item *EdbIndoDataUpdateTime, err error) {
  226. o := orm.NewOrm()
  227. sql := ``
  228. tableName := GetEdbDataTableName(source)
  229. sql = ` SELECT MIN(data_time) AS min_date FROM %s WHERE edb_code=? and modify_time>=?`
  230. sql = fmt.Sprintf(sql, tableName)
  231. err = o.Raw(sql, edbCode, dataUpdateTime).QueryRow(&item)
  232. return
  233. }
  234. // ModifyEdbInfoMaxAndMinInfo 修改指标的最新数据信息
  235. func ModifyEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  236. o := orm.NewOrm()
  237. sql := ` UPDATE edb_info SET start_date=?,end_date=?,min_value=?,max_value=?,is_update=2,latest_date=?,latest_value=?, end_value = ?,modify_time=NOW() WHERE edb_info_id=? `
  238. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.MaxDate, item.LatestValue, item.LatestValue, edbInfoId).Exec()
  239. return
  240. }
  241. // ModifyEdbTimeAndLastInfo 修改指标的最新数据信息(除上下限)
  242. func ModifyEdbTimeAndLastInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  243. o := orm.NewOrm()
  244. sql := `UPDATE edb_info SET start_date = ?, end_date = ?, is_update = 2,latest_date = ?, latest_value = ?, end_value = ?, modify_time = NOW() WHERE edb_info_id = ?`
  245. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MaxDate, item.LatestValue, item.LatestValue, edbInfoId).Exec()
  246. return
  247. }
  248. // ModifyEdbDataUpdateTime 修改指标刷新,本次数据刷新的最早日期
  249. func ModifyEdbDataUpdateTime(edbInfoId int, dataUpdateTime, erDataUpdateDate string) (err error) {
  250. o := orm.NewOrm()
  251. sql := `UPDATE edb_info SET data_update_time = ?, er_data_update_date = ?, modify_time = NOW() WHERE edb_info_id = ?`
  252. _, err = o.Raw(sql, dataUpdateTime, erDataUpdateDate, edbInfoId).Exec()
  253. return
  254. }
  255. // GetEdbDataCount 获取edb指标数据的数量; order:1升序,其余值为降序
  256. func GetEdbDataCount(condition string, pars []interface{}, source int) (count int, err error) {
  257. o := orm.NewOrm()
  258. sql := ``
  259. tableName := GetEdbDataTableName(source)
  260. sql = ` SELECT COUNT(1) AS count FROM %s WHERE 1=1 `
  261. sql = fmt.Sprintf(sql, tableName)
  262. if condition != "" {
  263. sql += condition
  264. }
  265. err = o.Raw(sql, pars).QueryRow(&count)
  266. return
  267. }
  268. // GetLastEdbData 获取最近的一条指标数据
  269. func GetLastEdbData(condition string, pars []interface{}, source int) (item *EdbInfoSearchData, err error) {
  270. o := orm.NewOrm()
  271. sql := ``
  272. tableName := GetEdbDataTableName(source)
  273. sql = ` SELECT * FROM %s WHERE 1=1 `
  274. sql = fmt.Sprintf(sql, tableName)
  275. if condition != "" {
  276. sql += condition
  277. }
  278. sql += ` ORDER BY data_time DESC `
  279. err = o.Raw(sql, pars).QueryRow(&item)
  280. return
  281. }
  282. // GetEdbInfoByEdbCode 根据指标code获取指标信息
  283. func GetEdbInfoByEdbCode(source int, edbCode string) (item *EdbInfo, err error) {
  284. o := orm.NewOrm()
  285. sql := ` SELECT * FROM edb_info WHERE source=? AND edb_code=? `
  286. err = o.Raw(sql, source, edbCode).QueryRow(&item)
  287. return
  288. }
  289. // GetEdbInfoOnlyByEdbCode 仅根据指标code获取指标信息
  290. func GetEdbInfoOnlyByEdbCode(edbCode string) (item *EdbInfo, err error) {
  291. o := orm.NewOrm()
  292. sql := ` SELECT * FROM edb_info WHERE edb_code=? `
  293. err = o.Raw(sql, edbCode).QueryRow(&item)
  294. return
  295. }
  296. // GetEdbInfoCalculateListByCondition 获取指标关系列表
  297. func GetEdbInfoCalculateListByCondition(condition string, pars []interface{}) (items []*EdbInfoCalculateMapping, err error) {
  298. o := orm.NewOrm()
  299. sql := ` SELECT * FROM edb_info_calculate_mapping WHERE 1=1 `
  300. if condition != "" {
  301. sql += condition
  302. }
  303. _, err = o.Raw(sql, pars).QueryRows(&items)
  304. return
  305. }
  306. // GetEdbInfoCalculateCountByCondition 获取关联指标数量
  307. func GetEdbInfoCalculateCountByCondition(condition string, pars []interface{}) (count int, err error) {
  308. o := orm.NewOrm()
  309. sql := ` SELECT COUNT(1) AS count FROM edb_info_calculate_mapping WHERE 1=1 `
  310. if condition != "" {
  311. sql += condition
  312. }
  313. err = o.Raw(sql, pars).QueryRow(&count)
  314. return
  315. }
  316. // 优化版本-处理数据精度问题
  317. type EdbInfoSearchDataV1 struct {
  318. EdbDataId int `description:"数据ID"`
  319. DataTime string `description:"数据日期"`
  320. Value string `description:"数据"`
  321. }
  322. // 优化版本-处理数据精度问题
  323. func GetEdbDataListAllV1(condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchDataV1, err error) {
  324. o := orm.NewOrm()
  325. sql := ``
  326. tableName := GetEdbDataTableName(source)
  327. sql = ` SELECT * FROM %s WHERE 1=1 `
  328. sql = fmt.Sprintf(sql, tableName)
  329. if condition != "" {
  330. sql += condition
  331. }
  332. if order == 1 {
  333. sql += ` ORDER BY data_time ASC `
  334. } else {
  335. sql += ` ORDER BY data_time DESC `
  336. }
  337. _, err = o.Raw(sql, pars).QueryRows(&item)
  338. return
  339. }
  340. // GetEdbDataListAllV1ByTo 通过事务链接获取数据列表
  341. func GetEdbDataListAllV1ByTo(to orm.TxOrmer, condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchDataV1, err error) {
  342. sql := ``
  343. tableName := GetEdbDataTableName(source)
  344. sql = ` SELECT * FROM %s WHERE 1=1 `
  345. sql = fmt.Sprintf(sql, tableName)
  346. if condition != "" {
  347. sql += condition
  348. }
  349. if order == 1 {
  350. sql += ` ORDER BY data_time ASC `
  351. } else {
  352. sql += ` ORDER BY data_time DESC `
  353. }
  354. _, err = to.Raw(sql, pars).QueryRows(&item)
  355. return
  356. }
  357. // GetEdbInfoByCondition 获取指标列表
  358. func GetEdbInfoByCondition(condition string, pars []interface{}, order int) (item []*EdbInfo, err error) {
  359. o := orm.NewOrm()
  360. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  361. if condition != "" {
  362. sql += condition
  363. }
  364. if order == 1 {
  365. sql += ` ORDER BY end_date ASC `
  366. } else {
  367. sql += ` ORDER BY edb_info_id ASC `
  368. }
  369. _, err = o.Raw(sql, pars).QueryRows(&item)
  370. return
  371. }
  372. // UnifiedModifyEdbInfoMaxAndMinInfo 统一修改指标的最大最小值
  373. func UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo *EdbInfo) (err error, errMsg string) {
  374. // 修改最大最小值
  375. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.EdbCode)
  376. if err != nil {
  377. if err.Error() == utils.ErrNoRow() {
  378. err = nil
  379. return
  380. }
  381. errMsg = "刷新指标失败!"
  382. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  383. return
  384. }
  385. if maxAndMinItem != nil {
  386. // 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
  387. if edbInfo.ManualSave == 1 {
  388. err = ModifyEdbTimeAndLastInfo(edbInfo.EdbInfoId, maxAndMinItem)
  389. if err != nil {
  390. errMsg = "刷新指标失败!"
  391. err = errors.New("修改指标最新日期和数据失败,err:" + err.Error())
  392. return
  393. }
  394. } else {
  395. err = ModifyEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  396. if err != nil {
  397. errMsg = "刷新指标失败!"
  398. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  399. return
  400. }
  401. }
  402. }
  403. // 修改关联的预测指标
  404. go ModifyPredictEdbInfoMaxAndMinInfoBySourceEdbInfoId(edbInfo.EdbInfoId, maxAndMinItem)
  405. return
  406. }
  407. // UnifiedModifyEdbInfoMaxAndMinInfoDataUpdate 统一修改指标的最大最小值以及数据更新时间点
  408. func UnifiedModifyEdbInfoMaxAndMinInfoDataUpdate(edbInfo *EdbInfo, dataUpdateTime string) (erDataUpdateDate string, err error, errMsg string) {
  409. err, errMsg = UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo)
  410. if err != nil {
  411. return
  412. }
  413. // 获取本次刷新,指标数据更新的最早日期
  414. erDataUpdateTime, tErr := GetEdbDataUpdateTimeByModify(edbInfo.Source, edbInfo.EdbCode, dataUpdateTime)
  415. if tErr != nil {
  416. if tErr.Error() != utils.ErrNoRow() { //本次刷新指标数据无变化
  417. errMsg = "刷新指标失败!"
  418. err = errors.New("查询指标刷新,数据更新的最早日期失败,err:" + tErr.Error())
  419. return
  420. }
  421. } else if erDataUpdateTime.MinDate != "" {
  422. err = ModifyEdbDataUpdateTime(edbInfo.EdbInfoId, dataUpdateTime, erDataUpdateTime.MinDate)
  423. if err != nil {
  424. errMsg = "刷新指标失败!"
  425. err = errors.New("修改指标数据更新的最早日期失败,err:" + tErr.Error())
  426. return
  427. }
  428. erDataUpdateDate = erDataUpdateTime.MinDate
  429. }
  430. return
  431. }
  432. // UnifiedModifyPredictEdbInfoMaxAndMinInfo 统一修改预测运算指标的最大最小值
  433. func UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo *EdbInfo, latestDateStr string, latestValue float64) (err error, errMsg string) {
  434. // 修改最大最小值
  435. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.EdbCode)
  436. if err != nil {
  437. if err.Error() == utils.ErrNoRow() {
  438. err = nil
  439. return
  440. }
  441. errMsg = "刷新指标失败!"
  442. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  443. return
  444. }
  445. // 最晚的日期的值
  446. maxAndMinItem.EndValue = maxAndMinItem.LatestValue
  447. if maxAndMinItem != nil {
  448. maxAndMinItem.LatestDate = latestDateStr
  449. maxAndMinItem.LatestValue = latestValue
  450. err = ModifyPredictEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  451. if err != nil {
  452. errMsg = "刷新指标失败!"
  453. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  454. return
  455. }
  456. }
  457. return
  458. }
  459. // GetChartPredictEdbInfoDataListByConfList 获取图表的预测指标的未来数据
  460. func GetChartPredictEdbInfoDataListByConfList(predictEdbConfList []*PredictEdbConfAndData, filtrateStartDateStr, latestDateStr, endDateStr, frequency, dataDateType string, realPredictEdbInfoData []*EdbInfoSearchData) (predictEdbInfoData []*EdbInfoSearchData, minValue, maxValue float64, err error) {
  461. endDate, err := time.ParseInLocation(utils.FormatDate, endDateStr, time.Local)
  462. if err != nil {
  463. return
  464. }
  465. latestDate, err := time.ParseInLocation(utils.FormatDate, latestDateStr, time.Local)
  466. if err != nil {
  467. return
  468. }
  469. // 开始预测数据的时间
  470. startDate := latestDate
  471. // 如果有筛选时间的话
  472. if filtrateStartDateStr != `` {
  473. filtrateStartDate, tmpErr := time.ParseInLocation(utils.FormatDate, filtrateStartDateStr, time.Local)
  474. if tmpErr != nil {
  475. err = tmpErr
  476. return
  477. }
  478. //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
  479. if filtrateStartDate.After(latestDate) {
  480. startDate = filtrateStartDate.AddDate(0, 0, -1)
  481. }
  482. }
  483. //var dateArr []string
  484. // 对应日期的值
  485. existMap := make(map[string]float64)
  486. for _, v := range realPredictEdbInfoData {
  487. //dateArr = append(dateArr, v.DataTime)
  488. existMap[v.DataTime] = v.Value
  489. }
  490. predictEdbInfoData = make([]*EdbInfoSearchData, 0)
  491. //dataValue := lastDataValue
  492. //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
  493. for _, predictEdbConf := range predictEdbConfList {
  494. dataEndTime := endDate
  495. if predictEdbConf.EndDate.Before(dataEndTime) {
  496. dataEndTime = predictEdbConf.EndDate
  497. }
  498. var tmpMinValue, tmpMaxValue float64 // 当前预测结果中的最大/最小值
  499. dayList := getPredictEdbDayList(startDate, dataEndTime, frequency, dataDateType)
  500. 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
  501. continue
  502. }
  503. switch predictEdbConf.RuleType {
  504. case 1: //1:最新
  505. var lastDataValue float64 //最新值
  506. tmpAllData := make([]*EdbInfoSearchData, 0)
  507. tmpAllData = append(tmpAllData, realPredictEdbInfoData...)
  508. tmpAllData = append(tmpAllData, predictEdbInfoData...)
  509. lenTmpAllData := len(tmpAllData)
  510. if lenTmpAllData > 0 {
  511. lastDataValue = tmpAllData[lenTmpAllData-1].Value
  512. }
  513. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, lastDataValue, dayList, predictEdbInfoData, existMap)
  514. tmpMaxValue = lastDataValue
  515. tmpMinValue = lastDataValue
  516. case 2: //2:固定值
  517. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  518. if tmpErr != nil {
  519. err = tmpErr
  520. return
  521. }
  522. dataValue, _ := tmpValDecimal.Float64()
  523. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, dataValue, dayList, predictEdbInfoData, existMap)
  524. tmpMaxValue = dataValue
  525. tmpMinValue = dataValue
  526. case 3: //3:同比
  527. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  528. if tmpErr != nil {
  529. err = tmpErr
  530. return
  531. }
  532. tbValue, _ := tmpValDecimal.Float64()
  533. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTb(predictEdbConf.PredictEdbInfoId, tbValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  534. case 4: //4:同差
  535. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  536. if tmpErr != nil {
  537. err = tmpErr
  538. return
  539. }
  540. tcValue, _ := tmpValDecimal.Float64()
  541. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTc(predictEdbConf.PredictEdbInfoId, tcValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  542. case 5: //5:环比
  543. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  544. if tmpErr != nil {
  545. err = tmpErr
  546. return
  547. }
  548. hbValue, _ := tmpValDecimal.Float64()
  549. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHb(predictEdbConf.PredictEdbInfoId, hbValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  550. case 6: //6:环差
  551. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  552. if tmpErr != nil {
  553. err = tmpErr
  554. return
  555. }
  556. hcValue, _ := tmpValDecimal.Float64()
  557. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHc(predictEdbConf.PredictEdbInfoId, hcValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  558. case 7: //7:N期移动均值
  559. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  560. if tmpErr != nil {
  561. err = tmpErr
  562. return
  563. }
  564. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleNMoveMeanValue(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  565. case 8: //8:N期段线性外推值
  566. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  567. if tmpErr != nil {
  568. err = tmpErr
  569. return
  570. }
  571. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNLinearRegression(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  572. if err != nil {
  573. return
  574. }
  575. case 9: //9:动态环差”预测规则;
  576. hcDataMap := make(map[string]float64) //规则计算的环差值map
  577. if predictEdbConf.PredictEdbInfoId > 0 {
  578. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  579. if tmpErr != nil {
  580. err = tmpErr
  581. return
  582. }
  583. for _, v := range tmpPredictEdbRuleDataList {
  584. hcDataMap[v.DataTime] = v.Value
  585. }
  586. } else {
  587. if len(predictEdbConf.DataList) <= 0 {
  588. return
  589. }
  590. for _, v := range predictEdbConf.DataList {
  591. currentDate, tmpErr := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
  592. if tmpErr != nil {
  593. continue
  594. }
  595. // 只处理时间段内的数据
  596. if currentDate.Before(startDate) || currentDate.After(endDate) {
  597. continue
  598. }
  599. hcDataMap[v.DataTime] = v.Value
  600. }
  601. }
  602. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTrendsHC(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, hcDataMap, existMap)
  603. case 10: //10:根据 给定终值后插值 规则获取预测数据
  604. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  605. if tmpErr != nil {
  606. err = tmpErr
  607. return
  608. }
  609. finalValue, _ := tmpValDecimal.Float64()
  610. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleFinalValueHc(predictEdbConf.PredictEdbInfoId, finalValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  611. case 11: //11:根据 季节性 规则获取预测数据
  612. var seasonConf SeasonConf
  613. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &seasonConf)
  614. if tmpErr != nil {
  615. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  616. return
  617. }
  618. calendar := "公历"
  619. if seasonConf.Calendar == "农历" {
  620. calendar = "农历"
  621. }
  622. yearList := make([]int, 0)
  623. //选择方式,1:连续N年;2:指定年份
  624. if seasonConf.YearType == 1 {
  625. if seasonConf.NValue < 1 {
  626. err = errors.New("连续N年不允许小于1")
  627. return
  628. }
  629. currYear := time.Now().Year()
  630. for i := 0; i < seasonConf.NValue; i++ {
  631. yearList = append(yearList, currYear-i-1)
  632. }
  633. } else {
  634. yearList = seasonConf.YearList
  635. }
  636. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleSeason(predictEdbConf.PredictEdbInfoId, yearList, calendar, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  637. if err != nil {
  638. return
  639. }
  640. case 12: //12:根据 移动平均同比 规则获取预测数据
  641. var moveAverageConf MoveAverageConf
  642. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &moveAverageConf)
  643. if tmpErr != nil {
  644. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  645. return
  646. }
  647. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleMoveAverageTb(predictEdbConf.PredictEdbInfoId, moveAverageConf.NValue, moveAverageConf.Year, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  648. if err != nil {
  649. return
  650. }
  651. case 13: //13:根据 同比增速差值 规则获取预测数据
  652. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  653. if tmpErr != nil {
  654. err = tmpErr
  655. return
  656. }
  657. tbEndValue, _ := tmpValDecimal.Float64()
  658. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTbzscz(predictEdbConf.PredictEdbInfoId, tbEndValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  659. case 14: //14:根据 一元线性拟合 规则获取预测数据
  660. var ruleConf RuleLineNhConf
  661. err = json.Unmarshal([]byte(predictEdbConf.Value), &ruleConf)
  662. if err != nil {
  663. err = errors.New("一元线性拟合规则配置信息异常:" + err.Error())
  664. return
  665. }
  666. // 规则计算的拟合残差值map
  667. newNhccDataMap := make(map[string]float64)
  668. if predictEdbConf.PredictEdbInfoId > 0 { //已经生成的动态数据
  669. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  670. if tmpErr != nil {
  671. err = tmpErr
  672. return
  673. }
  674. for _, v := range tmpPredictEdbRuleDataList {
  675. newNhccDataMap[v.DataTime] = v.Value
  676. }
  677. } else { //未生成的动态数据,需要使用外部传入的数据进行计算
  678. newNhccDataMap, err, _ = getCalculateNhccData(append(realPredictEdbInfoData, predictEdbInfoData...), ruleConf)
  679. }
  680. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleLineNh(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, newNhccDataMap, existMap)
  681. if err != nil {
  682. return
  683. }
  684. 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;
  685. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNAnnualAverage(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  686. if err != nil {
  687. return
  688. }
  689. case 16: //16:年度值倒推
  690. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleAnnualValueInversion(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  691. if err != nil {
  692. return
  693. }
  694. }
  695. // 下一个规则的开始日期
  696. {
  697. lenPredictEdbInfoData := len(predictEdbInfoData)
  698. if lenPredictEdbInfoData > 0 {
  699. tmpDataEndTime, _ := time.ParseInLocation(utils.FormatDate, predictEdbInfoData[lenPredictEdbInfoData-1].DataTime, time.Local)
  700. if startDate.Before(tmpDataEndTime) {
  701. startDate = tmpDataEndTime
  702. }
  703. }
  704. }
  705. if tmpMinValue < minValue {
  706. minValue = tmpMinValue
  707. }
  708. if tmpMaxValue < maxValue {
  709. maxValue = tmpMaxValue
  710. }
  711. }
  712. return
  713. }
  714. // GetPredictEdbDayList 获取预测指标日期列表
  715. // GetPredictEdbDayList 获取预测指标日期列表
  716. func getPredictEdbDayList(startDate, endDate time.Time, frequency, dataDateType string) (dayList []time.Time) {
  717. if dataDateType == `` {
  718. dataDateType = `交易日`
  719. }
  720. switch frequency {
  721. case "日度":
  722. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 1) {
  723. // 如果日期类型是交易日的时候,那么需要将周六、日排除
  724. if dataDateType == `交易日` && (currDate.Weekday() == time.Sunday || currDate.Weekday() == time.Saturday) {
  725. continue
  726. }
  727. dayList = append(dayList, currDate)
  728. }
  729. case "周度":
  730. //nextDate := startDate.AddDate(0, 0, 7)
  731. for currDate := startDate.AddDate(0, 0, 7); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 7) {
  732. dayList = append(dayList, currDate)
  733. }
  734. case "旬度":
  735. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); {
  736. nextDate := currDate.AddDate(0, 0, 1)
  737. //每个月的10号、20号、最后一天,那么就写入
  738. if nextDate.Day() == 11 || nextDate.Day() == 21 || nextDate.Day() == 1 {
  739. dayList = append(dayList, currDate)
  740. }
  741. currDate = nextDate
  742. }
  743. case "月度":
  744. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  745. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  746. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  747. dayList = append(dayList, currDate)
  748. }
  749. currDate = currDate.AddDate(0, 0, 1)
  750. }
  751. case "季度":
  752. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  753. // 每月的最后一天
  754. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  755. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  756. // 季度日期就写入,否则不写入
  757. if currDate.Month() == 3 || currDate.Month() == 6 || currDate.Month() == 9 || currDate.Month() == 12 {
  758. dayList = append(dayList, currDate)
  759. }
  760. }
  761. currDate = currDate.AddDate(0, 0, 1)
  762. }
  763. case "半年度":
  764. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  765. // 每月的最后一天
  766. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  767. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  768. // 半年度日期就写入,否则不写入
  769. if currDate.Month() == 6 || currDate.Month() == 12 {
  770. dayList = append(dayList, currDate)
  771. }
  772. }
  773. currDate = currDate.AddDate(0, 0, 1)
  774. }
  775. case "年度":
  776. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  777. currDate = time.Date(currDate.Year()+1, 12, 31, 0, 0, 0, 0, time.Now().Location())
  778. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  779. dayList = append(dayList, currDate)
  780. }
  781. }
  782. }
  783. return
  784. }
  785. // 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
  786. func GetPredictDataListByPredictEdbInfo(edbInfo *EdbInfo, order int, startDate string) (dataList []*EdbInfoSearchData, sourceEdbInfoItem *EdbInfo, err error, errMsg string) {
  787. // 查找该预测指标配置
  788. predictEdbConfList, err := GetPredictEdbConfAndDataListById(edbInfo.EdbInfoId)
  789. if err != nil && err.Error() != utils.ErrNoRow() {
  790. errMsg = "获取预测指标配置信息失败"
  791. return
  792. }
  793. if len(predictEdbConfList) == 0 {
  794. errMsg = "获取预测指标配置信息失败"
  795. err = errors.New(errMsg)
  796. return
  797. }
  798. predictEdbConf := predictEdbConfList[0]
  799. // 来源指标
  800. sourceEdbInfoItem, err = GetEdbInfoById(predictEdbConf.SourceEdbInfoId)
  801. if err != nil {
  802. if err.Error() == utils.ErrNoRow() {
  803. errMsg = "找不到来源指标信息"
  804. err = errors.New(errMsg)
  805. }
  806. return
  807. }
  808. dataList, err, errMsg = GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem, predictEdbConfList, order, startDate)
  809. return
  810. }
  811. // 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
  812. func GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem *EdbInfo, predictEdbConfList []*PredictEdbConfAndData, order int, startDate string) (dataList []*EdbInfoSearchData, err error, errMsg string) {
  813. allDataList := make([]*EdbInfoSearchData, 0)
  814. //获取指标数据(实际已生成)
  815. var condition string
  816. var pars []interface{}
  817. condition += " AND edb_info_id=? "
  818. pars = append(pars, sourceEdbInfoItem.EdbInfoId)
  819. if startDate != "" {
  820. condition += " AND data_time>=? "
  821. pars = append(pars, startDate)
  822. }
  823. tmpDataList, err := GetEdbDataListAll(condition, pars, sourceEdbInfoItem.Source, 1)
  824. if err != nil {
  825. return
  826. }
  827. // 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
  828. if startDate != `` {
  829. allDataList, err = GetEdbDataListAll(" AND edb_info_id=? ", []interface{}{sourceEdbInfoItem.EdbInfoId}, sourceEdbInfoItem.Source, 1)
  830. if err != nil {
  831. return
  832. }
  833. } else {
  834. allDataList = tmpDataList
  835. }
  836. // 获取预测指标未来的数据
  837. predictDataList := make([]*EdbInfoSearchData, 0)
  838. endDateStr := edbInfo.EndDate //预测指标的结束日期
  839. var predictMinValue, predictMaxValue float64
  840. // 如果有配置的预测规则,那么就进行预测
  841. if len(predictEdbConfList) > 0 {
  842. predictDataList, predictMinValue, predictMaxValue, err = GetChartPredictEdbInfoDataListByConfList(predictEdbConfList, startDate, sourceEdbInfoItem.LatestDate, endDateStr, edbInfo.Frequency, edbInfo.DataDateType, allDataList)
  843. if err != nil {
  844. return
  845. }
  846. }
  847. //order:1升序,其余值为降序
  848. if order == 1 {
  849. dataList = append(tmpDataList, predictDataList...)
  850. } else {
  851. // 先倒序预测数据
  852. lenPredictDataList := len(predictDataList)
  853. if lenPredictDataList > 0 {
  854. for k := range predictDataList {
  855. dataList = append(dataList, predictDataList[lenPredictDataList-k-1])
  856. }
  857. }
  858. // 接着倒序实际指标
  859. lenDataList := len(tmpDataList)
  860. for k := range tmpDataList {
  861. dataList = append(dataList, tmpDataList[lenDataList-k-1])
  862. }
  863. }
  864. if len(predictDataList) > 0 {
  865. // 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
  866. if edbInfo.MinValue > predictMinValue {
  867. edbInfo.MinValue = predictMinValue
  868. }
  869. // 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
  870. if edbInfo.MaxValue < predictMaxValue {
  871. edbInfo.MaxValue = predictMaxValue
  872. }
  873. }
  874. return
  875. }
  876. // GetPredictEdbDataListAll 获取该预测指标所有的数据 ,order:1升序,其余值为降序
  877. func GetPredictEdbDataListAll(edbInfo *EdbInfo, order int) (items []*EdbInfoSearchData, err error) {
  878. 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
  879. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, 1, "")
  880. } else {
  881. var condition string
  882. var pars []interface{}
  883. condition += " AND edb_info_id=? "
  884. pars = append(pars, edbInfo.EdbInfoId)
  885. items, err = GetEdbDataListAll(condition, pars, edbInfo.Source, order)
  886. }
  887. return
  888. }
  889. // 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
  890. func GetPredictEdbDataListAllByStartDate(edbInfo *EdbInfo, order int, startDate string) (items []*EdbInfoSearchData, err error) {
  891. 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
  892. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, order, startDate)
  893. } else {
  894. var condition string
  895. var pars []interface{}
  896. condition += " AND edb_info_id=? "
  897. pars = append(pars, edbInfo.EdbInfoId)
  898. if startDate != "" {
  899. condition += " AND data_time>=? "
  900. pars = append(pars, startDate)
  901. }
  902. items, err = GetEdbDataListAll(condition, pars, edbInfo.Source, order)
  903. }
  904. return
  905. }
  906. // ModifyPredictEdbInfoMaxAndMinInfo 修改预测指标的最新数据信息
  907. func ModifyPredictEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  908. o := orm.NewOrm()
  909. sql := ` UPDATE edb_info SET start_date=?,end_date=?,min_value=?,max_value=?,is_update=2,latest_date=?,latest_value=?,end_value=?,modify_time=NOW() WHERE edb_info_id=? `
  910. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.LatestDate, item.LatestValue, item.EndValue, edbInfoId).Exec()
  911. return
  912. }
  913. // ModifyCalculateEdbInfo 修改计算指标信息
  914. func ModifyCalculateEdbInfo(edbName, frequency, unit, calculateFormula string, classifyId, edbInfoId int) (err error) {
  915. o := orm.NewOrm()
  916. sql := ` UPDATE edb_info
  917. SET
  918. edb_name =?,
  919. edb_name_source =?,
  920. frequency = ?,
  921. unit = ?,
  922. classify_id = ?,
  923. calculate_formula=?,
  924. modify_time = NOW()
  925. WHERE edb_info_id = ?`
  926. _, err = o.Raw(sql, edbName, edbName, frequency, unit, classifyId, calculateFormula, edbInfoId).Exec()
  927. return
  928. }
  929. func GetEdbInfoItemByCondition(condition string, pars []interface{}) (item *EdbInfoList, err error) {
  930. o := orm.NewOrm()
  931. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  932. if condition != "" {
  933. sql += condition
  934. }
  935. err = o.Raw(sql, pars).QueryRow(&item)
  936. return
  937. }
  938. func GetEdbInfoItemListByCondition() (items []*EdbInfoList, err error) {
  939. o := orm.NewOrm()
  940. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  941. _, err = o.Raw(sql).QueryRows(&items)
  942. return
  943. }
  944. // EdbInfoDetailReq 指标详情请求
  945. type EdbInfoDetailReq struct {
  946. UniqueCode string `description:"指标唯一编码"`
  947. EdbCode string `description:"指标编码"`
  948. }
  949. // EdbInfoDetailResp 指标详情返回
  950. type EdbInfoDetailResp struct {
  951. SourceName string `description:"来源名称"`
  952. EdbCode string `description:"指标编码"`
  953. EdbName string `description:"指标名称"`
  954. EdbNameSource string `description:"指标名称来源"`
  955. Frequency string `description:"频率"`
  956. Unit string `description:"单位"`
  957. StartDate string `description:"起始日期"`
  958. EndDate string `description:"终止日期"`
  959. UniqueCode string `description:"指标唯一编码"`
  960. CreateTime time.Time
  961. ModifyTime time.Time
  962. MinValue float64 `description:"指标最小值"`
  963. MaxValue float64 `description:"指标最大值"`
  964. EdbNameEn string `description:"英文指标名称"`
  965. UnitEn string `description:"英文单位"`
  966. LatestDate string `description:"数据最新日期"`
  967. LatestValue float64 `description:"数据最新值"`
  968. ChartImage string `description:"图表图片"`
  969. DataList []*EdbInfoSearchData
  970. }
  971. type AddEdbInfoParams struct {
  972. Source int `description:"来源id"`
  973. EdbCode string `description:"指标编码"`
  974. EdbName string `description:"指标名称"`
  975. Frequency string `description:"频率"`
  976. Unit string `description:"单位"`
  977. ClassifyId int `description:"分类id"`
  978. AdminId int `description:"创建人ID"`
  979. AdminName string `description:"创建人姓名"`
  980. TerminalCode string `description:"终端编码"`
  981. }
  982. // EdbInfoAdd 添加指标到指标库
  983. func EdbInfoAdd(req *AddEdbInfoParams, serverUrl string, sysUserId int, sysUserRealName string) (edbInfo *EdbInfo, err error) {
  984. source := req.Source
  985. //判断指标名称是否存在
  986. var condition string
  987. var pars []interface{}
  988. //condition += " AND source=? "
  989. //pars = append(pars, source)
  990. condition += " AND edb_code=? "
  991. pars = append(pars, req.EdbCode)
  992. items, err := GetEdbInfoByCondition(condition, pars, 0)
  993. if err != nil {
  994. err = errors.New("判断指标是否存在失败,Err:" + err.Error())
  995. return
  996. }
  997. if len(items) > 0 {
  998. sql := ` UPDATE edb_info SET classify_id=?,modify_time=NOW() WHERE edb_code=? `
  999. o := orm.NewOrm()
  1000. _, err = o.Raw(sql, req.ClassifyId, req.EdbCode).Exec()
  1001. if err != nil {
  1002. err = errors.New("更新指标分类信息失败,Err:" + err.Error())
  1003. return
  1004. }
  1005. edbInfo = items[0]
  1006. return
  1007. }
  1008. edbInfo = new(EdbInfo)
  1009. edbInfo.Source = source
  1010. sourceNameMap := map[int]string{
  1011. utils.DATA_SOURCE_THS: "同花顺",
  1012. utils.DATA_SOURCE_WIND: "wind",
  1013. utils.DATA_SOURCE_PB: "彭博",
  1014. utils.DATA_SOURCE_PB_FINANCE: "彭博财务",
  1015. utils.DATA_SOURCE_MANUAL: "手工数据",
  1016. utils.DATA_SOURCE_LZ: "隆众",
  1017. utils.DATA_SOURCE_YS: "SMM",
  1018. utils.DATA_SOURCE_GL: "钢联",
  1019. utils.DATA_SOURCE_ZZ: "郑商所",
  1020. utils.DATA_SOURCE_DL: "大商所",
  1021. utils.DATA_SOURCE_SH: "上期所",
  1022. utils.DATA_SOURCE_CFFEX: "中金所",
  1023. utils.DATA_SOURCE_SHFE: "上期能源",
  1024. utils.DATA_SOURCE_GIE: "欧洲天然气",
  1025. utils.DATA_SOURCE_LT: "路透",
  1026. utils.DATA_SOURCE_COAL: "中国煤炭网",
  1027. utils.DATA_SOURCE_GOOGLE_TRAVEL: "our world in data",
  1028. utils.DATA_SOURCE_MYSTEEL_CHEMICAL: "钢联化工",
  1029. utils.DATA_SOURCE_EIA_STEO: "EIA STEO报告",
  1030. utils.DATA_SOURCE_COM_TRADE: "UN",
  1031. utils.DATA_SOURCE_SCI: "SCI",
  1032. utils.DATA_SOURCE_BAIINFO: "BAIINFO",
  1033. utils.DATA_SOURCE_STOCK_PLANT: "存量装置",
  1034. utils.DATA_SOURCE_NATIONAL_STATISTICS: "国家统计局",
  1035. utils.DATA_SOURCE_FUBAO: "富宝数据",
  1036. }
  1037. sourceName, ok := sourceNameMap[source]
  1038. if !ok {
  1039. edbSource := EdbSourceIdMap[source]
  1040. if edbSource != nil {
  1041. sourceName = edbSource.SourceName
  1042. }
  1043. if sourceName == "" {
  1044. err = errors.New("指标来源异常")
  1045. return
  1046. }
  1047. }
  1048. edbInfo.SourceName = sourceName
  1049. edbType := 1 //基础指标
  1050. if source == utils.DATA_SOURCE_STOCK_PLANT {
  1051. edbType = 2 //计算指标
  1052. }
  1053. var sourceIndexName string
  1054. // 钢联化工需要校验下信息是否完整
  1055. if source == utils.DATA_SOURCE_MYSTEEL_CHEMICAL {
  1056. indexObj := new(BaseFromMysteelChemicalIndex)
  1057. tmpItem, tmpErr := indexObj.GetIndexItem(req.EdbCode)
  1058. if tmpErr != nil {
  1059. err = tmpErr
  1060. return
  1061. }
  1062. if tmpItem == nil || tmpItem.IndexName == `` {
  1063. err = errors.New("指标信息不全")
  1064. return
  1065. }
  1066. }
  1067. //获取该层级下最大的排序数
  1068. maxSort, err := GetEdbAndClassifyMaxSort(req.ClassifyId, 0)
  1069. if err != nil {
  1070. err = errors.New("查询排序信息失败,Err:" + err.Error())
  1071. return
  1072. }
  1073. edbInfo.EdbCode = req.EdbCode
  1074. edbInfo.EdbName = req.EdbName
  1075. edbInfo.EdbNameSource = req.EdbName
  1076. edbInfo.Frequency = req.Frequency
  1077. edbInfo.Unit = req.Unit
  1078. edbInfo.ClassifyId = req.ClassifyId
  1079. edbInfo.SysUserId = sysUserId
  1080. edbInfo.SysUserRealName = sysUserRealName
  1081. edbInfo.StartDate = "1990-01-01"
  1082. edbInfo.CreateTime = time.Now()
  1083. edbInfo.ModifyTime = time.Now()
  1084. edbInfo.ServerUrl = serverUrl
  1085. edbInfo.TerminalCode = req.TerminalCode
  1086. edbInfo.Sort = maxSort + 1
  1087. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1088. edbInfo.UniqueCode = utils.MD5(utils.DATA_PREFIX + "_" + req.EdbCode + timestamp)
  1089. itemVal, err := GetEdbInfoMaxAndMinInfo(source, req.EdbCode)
  1090. if itemVal != nil && err == nil {
  1091. edbInfo.MaxValue = itemVal.MaxValue
  1092. edbInfo.MinValue = itemVal.MinValue
  1093. }
  1094. edbInfo.EdbType = edbType
  1095. edbInfo.SourceIndexName = sourceIndexName
  1096. edbInfoId, err := AddEdbInfo(edbInfo)
  1097. if err != nil {
  1098. err = errors.New("保存失败,Err:" + err.Error())
  1099. return
  1100. }
  1101. edbInfo.EdbInfoId = int(edbInfoId)
  1102. return
  1103. }
  1104. // EdbInfoRefreshCheckReq 指标数据更新情况查询
  1105. type EdbInfoRefreshCheckReq struct {
  1106. Source int `description:"来源id"`
  1107. LatestDate string `description:"数据最新日期"`
  1108. FrequencyBatch string `description:"更新频度"`
  1109. }
  1110. // EdbInfoRefreshCheckResp 指标数据更新情况查询
  1111. type EdbInfoRefreshCheckResp struct {
  1112. UpdateNum int `description:"已更新指标数"`
  1113. UnUpdateNum int `description:"未更新指标数"`
  1114. }
  1115. // ResetEdbClassifyReq 指标重新分类请求体
  1116. type ResetEdbClassifyReq struct {
  1117. IndexCode string `description:"指标编码"`
  1118. ClassifyFirst string `description:"一级分类名称"`
  1119. ClassifySecond string `description:"二级分类名称"`
  1120. ClassifyThird string `description:"三级分类名称"`
  1121. }
  1122. // GetEdbInfoMaxSortByClassifyId 获取分类下指标的最大的排序数
  1123. func GetEdbInfoMaxSortByClassifyId(classifyId int) (sort int, err error) {
  1124. o := orm.NewOrm()
  1125. sql := `SELECT Max(sort) AS sort FROM edb_info WHERE classify_id=? `
  1126. err = o.Raw(sql, classifyId).QueryRow(&sort)
  1127. return
  1128. }
  1129. func GetEdbAndClassifyMaxSort(parentId int, classifyType uint8) (maxSort int, err error) {
  1130. //获取该层级下最大的排序数
  1131. classifyMaxSort, err := GetEdbClassifyMaxSort(parentId, classifyType)
  1132. if err != nil {
  1133. return
  1134. }
  1135. maxSort = classifyMaxSort
  1136. edbMaxSort, err := GetEdbInfoMaxSortByClassifyId(parentId)
  1137. if err != nil {
  1138. return
  1139. }
  1140. if maxSort < edbMaxSort {
  1141. maxSort = edbMaxSort
  1142. }
  1143. return
  1144. }