edb_info.go 49 KB

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  1. package models
  2. import (
  3. "encoding/json"
  4. "errors"
  5. "eta/eta_index_lib/utils"
  6. "fmt"
  7. "strconv"
  8. "time"
  9. "github.com/beego/beego/v2/client/orm"
  10. "github.com/shopspring/decimal"
  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. BaseModifyTime time.Time
  33. MinValue float64 `description:"指标最小值"`
  34. MaxValue float64 `description:"指标最大值"`
  35. CalculateFormula string `description:"计算公式"`
  36. EdbType int `description:"指标类型:1:基础指标,2:计算指标"`
  37. IsUpdate int `description:"当天是否已更新,1:未更新,2:已更新"`
  38. Sort int `description:"排序字段"`
  39. LatestDate string `description:"数据最新日期(实际日期)"`
  40. LatestValue float64 `description:"数据最新值(实际值)"`
  41. EndValue float64 `description:"数据的最新值(预测日期的最新值)"`
  42. MoveType int `description:"移动方式:1:领先(默认),2:滞后"`
  43. MoveFrequency string `description:"移动频度"`
  44. NoUpdate int8 `description:"是否停止更新,0:继续更新;1:停止更新"`
  45. ServerUrl string `description:"服务器地址"`
  46. ChartImage string `description:"图表图片"`
  47. Calendar string `description:"公历/农历" orm:"default(公历);"`
  48. 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)"`
  49. MaxEmptyType int `description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  50. DataDateType string `orm:"column(data_date_type);size(255);null;default(交易日)"`
  51. ManualSave int `description:"是否有手动保存过上下限: 0-否; 1-是"`
  52. TerminalCode string `description:"终端编码,用于配置在机器上"`
  53. DataUpdateTime string `description:"最近一次数据发生变化的时间"`
  54. ErDataUpdateDate string `description:"本次更新,数据发生变化的最早日期"`
  55. SourceIndexName string `description:"数据源中的指标名称"`
  56. SubSource int `description:"子数据来源:0:经济数据库,1:日期序列"`
  57. SubSourceName string `description:"子数据来源名称"`
  58. IndicatorCode string `description:"指标代码"`
  59. StockCode string `description:"证券代码"`
  60. Extra string `description:"指标的额外配置"`
  61. }
  62. func (e *EdbInfo) Add() (err error) {
  63. o := orm.NewOrm()
  64. _, err = o.Insert(e)
  65. return
  66. }
  67. // AddEdbInfo 添加指标
  68. func AddEdbInfo(item *EdbInfo) (lastId int64, err error) {
  69. o := orm.NewOrm()
  70. lastId, err = o.Insert(item)
  71. return
  72. }
  73. // EdbInfoList 指标数据列表
  74. type EdbInfoList struct {
  75. EdbInfoId int `orm:"column(edb_info_id);pk"`
  76. EdbInfoType int `description:"指标类型,0:普通指标,1:预测指标"`
  77. SourceName string `description:"来源名称"`
  78. Source int `description:"来源id"`
  79. EdbCode string `description:"指标编码"`
  80. EdbNameEn string `description:"英文指标名称"`
  81. EdbName string `description:"指标名称"`
  82. Frequency string `description:"频率"`
  83. FrequencyEn string `description:"英文频率"`
  84. Unit string `description:"单位"`
  85. UnitEn string `description:"英文单位"`
  86. StartDate string `description:"起始日期"`
  87. EndDate string `description:"终止日期"`
  88. LatestDate string `description:"数据最新日期(实际日期)"`
  89. LatestValue float64 `description:"数据最新值(实际值)"`
  90. EndValue float64 `description:"数据的最新值(预测日期的最新值)"`
  91. ClassifyId int `description:"分类id"`
  92. UniqueCode string `description:"指标唯一编码"`
  93. SysUserId int `description:"创建人id"`
  94. SysUserRealName string `description:"创建人姓名"`
  95. ModifyTime string `description:"最新修改时间"`
  96. CreateTime string `description:"创建时间"`
  97. EdbNameAlias string `json:"-" description:"指标名称,别名"`
  98. EdbType int `description:"指标类型:1:基础指标,2:计算指标"`
  99. ChartImage string `description:"图表图片"`
  100. RuleType int `description:"预测规则,1:最新,2:固定值"`
  101. FixedValue float64 `description:"固定值"`
  102. DataList []*EdbData `description:"实际指标数据"`
  103. PredictDataList []*EdbData `description:"预测指标数据"`
  104. Button EdbClassifyItemsButton `description:"操作权限"`
  105. IsEnEdb bool `description:"是否展示英文标识"`
  106. DataDateType string `description:"数据日期类型,枚举值:交易日、自然日"`
  107. 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)"`
  108. MaxEmptyType int `description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  109. SubSource int `description:"子数据来源:0:经济数据库,1:日期序列"`
  110. SubSourceName string `description:"子数据来源名称"`
  111. IndicatorCode string `description:"指标代码"`
  112. StockCode string `description:"证券代码"`
  113. NoUpdate int8 `description:"是否停止更新,0:继续更新;1:停止更新"`
  114. }
  115. // EdbClassifyItemsButton 操作按钮
  116. type EdbClassifyItemsButton struct {
  117. AddButton bool `description:"是否可添加"`
  118. OpButton bool `description:"是否可编辑"`
  119. DeleteButton bool `description:"是否可删除"`
  120. MoveButton bool `description:"是否可移动"`
  121. ShowEdbRelation bool `description:"是否展示关联指标"`
  122. ShowChartRelation bool `description:"是否展示关联图表"`
  123. }
  124. // GetEdbInfoByName 根据指标名称获取所有的指标数据列表
  125. func GetEdbInfoByName(edbName string) (items []*EdbInfoList, err error) {
  126. o := orm.NewOrm()
  127. sql := ` SELECT * FROM edb_info WHERE edb_name=? `
  128. _, err = o.Raw(sql, edbName).QueryRows(&items)
  129. return
  130. }
  131. // ModifyEdbInfoNameSource 根据来源修改指标名称
  132. func ModifyEdbInfoNameSource(edbNameSource string, edbInfoId int) (err error) {
  133. o := orm.NewOrm()
  134. sql := ` UPDATE edb_info SET edb_name_source=? WHERE edb_info_id = ? `
  135. _, err = o.Raw(sql, edbNameSource, edbInfoId).Exec()
  136. return
  137. }
  138. // GetEdbInfoById 根据指标id获取指标信息
  139. func GetEdbInfoById(edbInfoId int) (item *EdbInfo, err error) {
  140. o := orm.NewOrm()
  141. sql := ` SELECT * FROM edb_info WHERE edb_info_id=? `
  142. err = o.Raw(sql, edbInfoId).QueryRow(&item)
  143. return
  144. }
  145. // GetEdbInfoByUniqueCode 根据指标唯一编码获取指标信息
  146. func GetEdbInfoByUniqueCode(uniqueCode string) (item *EdbInfo, err error) {
  147. o := orm.NewOrm()
  148. sql := ` SELECT * FROM edb_info WHERE unique_code=? `
  149. err = o.Raw(sql, uniqueCode).QueryRow(&item)
  150. return
  151. }
  152. // GetEdbInfoByIdList 根据指标id列表获取指标信息
  153. func GetEdbInfoByIdList(edbInfoIdList []int) (items []*EdbInfo, err error) {
  154. num := len(edbInfoIdList)
  155. if num <= 0 {
  156. return
  157. }
  158. o := orm.NewOrm()
  159. sql := ` SELECT * FROM edb_info WHERE edb_info_id in (` + utils.GetOrmInReplace(num) + `) `
  160. _, err = o.Raw(sql, edbInfoIdList).QueryRows(&items)
  161. return
  162. }
  163. // Update 更新EdbInfo信息
  164. func (edbInfo *EdbInfo) Update(cols []string) (err error) {
  165. o := orm.NewOrm()
  166. _, err = o.Update(edbInfo, cols...)
  167. return
  168. }
  169. // EdbInfoSearchData
  170. type EdbInfoSearchData struct {
  171. EdbDataId int `description:"数据ID"`
  172. DataTime string `description:"数据日期"`
  173. Value float64 `description:"数据"`
  174. EdbCode string `description:"指标编码"`
  175. }
  176. // GetEdbDataListAll 获取指标数据列表 order:1升序,其余值为降序
  177. func GetEdbDataListAll(condition string, pars []interface{}, source, subSource, order int) (item []*EdbInfoSearchData, err error) {
  178. o := orm.NewOrm()
  179. sql := ``
  180. tableName := GetEdbDataTableName(source, subSource)
  181. sql = ` SELECT * FROM %s WHERE 1=1 `
  182. sql = fmt.Sprintf(sql, tableName)
  183. if condition != "" {
  184. sql += condition
  185. }
  186. if order == 1 {
  187. sql += ` ORDER BY data_time ASC `
  188. } else {
  189. sql += ` ORDER BY data_time DESC `
  190. }
  191. _, err = o.Raw(sql, pars).QueryRows(&item)
  192. return
  193. }
  194. // 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
  195. func GetEdbDataListAllByTo(to orm.TxOrmer, condition string, pars []interface{}, source, subSource, order int) (item []*EdbInfoSearchData, err error) {
  196. sql := ``
  197. tableName := GetEdbDataTableName(source, subSource)
  198. sql = ` SELECT * FROM %s WHERE 1=1 `
  199. sql = fmt.Sprintf(sql, tableName)
  200. if condition != "" {
  201. sql += condition
  202. }
  203. if order == 1 {
  204. sql += ` ORDER BY data_time ASC `
  205. } else {
  206. sql += ` ORDER BY data_time DESC `
  207. }
  208. _, err = to.Raw(sql, pars).QueryRows(&item)
  209. return
  210. }
  211. // EdbInfoMaxAndMinInfo 指标最新数据记录结构体
  212. type EdbInfoMaxAndMinInfo struct {
  213. MinDate string `description:"最小日期"`
  214. MaxDate string `description:"最大日期"`
  215. MinValue float64 `description:"最小值"`
  216. MaxValue float64 `description:"最大值"`
  217. LatestValue float64 `description:"最新值"`
  218. LatestDate string `description:"实际数据最新日期"`
  219. EndValue float64 `description:"最新值"`
  220. }
  221. // GetEdbInfoMaxAndMinInfo 获取指标的最新数据记录信息
  222. func GetEdbInfoMaxAndMinInfo(source, subSource int, edbCode string) (item *EdbInfoMaxAndMinInfo, err error) {
  223. o := orm.NewOrm()
  224. sql := ``
  225. tableName := GetEdbDataTableName(source, subSource)
  226. 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=? `
  227. sql = fmt.Sprintf(sql, tableName)
  228. err = o.Raw(sql, edbCode).QueryRow(&item)
  229. var latest_value float64
  230. sql = ` SELECT value AS latest_value FROM %s WHERE edb_code=? ORDER BY data_time DESC LIMIT 1 `
  231. sql = fmt.Sprintf(sql, tableName)
  232. err = o.Raw(sql, edbCode).QueryRow(&latest_value)
  233. item.LatestValue = latest_value
  234. return
  235. }
  236. type EdbIndoDataUpdateTime struct {
  237. MinDate string `description:"本次更新,数据发生变化的最早日期"`
  238. }
  239. // GetEdbDataUpdateTimeByModify 获取指标的刷新时间获取最早的一条记录
  240. func GetEdbDataUpdateTimeByModify(source, subSource int, edbCode string, dataUpdateTime string) (item *EdbIndoDataUpdateTime, err error) {
  241. o := orm.NewOrm()
  242. sql := ``
  243. tableName := GetEdbDataTableName(source, subSource)
  244. sql = ` SELECT MIN(data_time) AS min_date FROM %s WHERE edb_code=? and modify_time>=?`
  245. sql = fmt.Sprintf(sql, tableName)
  246. err = o.Raw(sql, edbCode, dataUpdateTime).QueryRow(&item)
  247. return
  248. }
  249. // ModifyEdbInfoMaxAndMinInfo 修改指标的最新数据信息
  250. func ModifyEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  251. o := orm.NewOrm()
  252. 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=? `
  253. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.MaxDate, item.LatestValue, item.LatestValue, edbInfoId).Exec()
  254. return
  255. }
  256. // ModifyEdbTimeAndLastInfo 修改指标的最新数据信息(除上下限)
  257. func ModifyEdbTimeAndLastInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  258. o := orm.NewOrm()
  259. 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 = ?`
  260. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MaxDate, item.LatestValue, item.LatestValue, edbInfoId).Exec()
  261. return
  262. }
  263. // ModifyEdbDataUpdateTime 修改指标刷新,本次数据刷新的最早日期
  264. func ModifyEdbDataUpdateTime(edbInfoId int, dataUpdateTime, erDataUpdateDate string) (err error) {
  265. o := orm.NewOrm()
  266. sql := `UPDATE edb_info SET data_update_time = ?, er_data_update_date = ?, modify_time = NOW() WHERE edb_info_id = ?`
  267. _, err = o.Raw(sql, dataUpdateTime, erDataUpdateDate, edbInfoId).Exec()
  268. return
  269. }
  270. // GetEdbDataCount 获取edb指标数据的数量; order:1升序,其余值为降序
  271. func GetEdbDataCount(condition string, pars []interface{}, source, subSource int) (count int, err error) {
  272. o := orm.NewOrm()
  273. sql := ``
  274. tableName := GetEdbDataTableName(source, subSource)
  275. sql = ` SELECT COUNT(1) AS count FROM %s WHERE 1=1 `
  276. sql = fmt.Sprintf(sql, tableName)
  277. if condition != "" {
  278. sql += condition
  279. }
  280. err = o.Raw(sql, pars).QueryRow(&count)
  281. return
  282. }
  283. // GetLastEdbData 获取最近的一条指标数据
  284. func GetLastEdbData(condition string, pars []interface{}, source, subSource int) (item *EdbInfoSearchData, err error) {
  285. o := orm.NewOrm()
  286. sql := ``
  287. tableName := GetEdbDataTableName(source, subSource)
  288. sql = ` SELECT * FROM %s WHERE 1=1 `
  289. sql = fmt.Sprintf(sql, tableName)
  290. if condition != "" {
  291. sql += condition
  292. }
  293. sql += ` ORDER BY data_time DESC `
  294. err = o.Raw(sql, pars).QueryRow(&item)
  295. return
  296. }
  297. // GetEdbInfoByEdbCode 根据指标code获取指标信息
  298. func GetEdbInfoByEdbCode(source int, edbCode string) (item *EdbInfo, err error) {
  299. o := orm.NewOrm()
  300. sql := ` SELECT * FROM edb_info WHERE source=? AND edb_code=? `
  301. err = o.Raw(sql, source, edbCode).QueryRow(&item)
  302. return
  303. }
  304. // GetEdbInfoOnlyByEdbCode 仅根据指标code获取指标信息
  305. func GetEdbInfoOnlyByEdbCode(edbCode string) (item *EdbInfo, err error) {
  306. o := orm.NewOrm()
  307. sql := ` SELECT * FROM edb_info WHERE edb_code=? `
  308. err = o.Raw(sql, edbCode).QueryRow(&item)
  309. return
  310. }
  311. // GetEdbInfoCalculateListByCondition 获取指标关系列表
  312. func GetEdbInfoCalculateListByCondition(condition string, pars []interface{}) (items []*EdbInfoCalculateMapping, err error) {
  313. o := orm.NewOrm()
  314. sql := ` SELECT * FROM edb_info_calculate_mapping WHERE 1=1 `
  315. if condition != "" {
  316. sql += condition
  317. }
  318. _, err = o.Raw(sql, pars).QueryRows(&items)
  319. return
  320. }
  321. // GetEdbInfoCalculateCountByCondition 获取关联指标数量
  322. func GetEdbInfoCalculateCountByCondition(condition string, pars []interface{}) (count int, err error) {
  323. o := orm.NewOrm()
  324. sql := ` SELECT COUNT(1) AS count FROM edb_info_calculate_mapping WHERE 1=1 `
  325. if condition != "" {
  326. sql += condition
  327. }
  328. err = o.Raw(sql, pars).QueryRow(&count)
  329. return
  330. }
  331. // 优化版本-处理数据精度问题
  332. type EdbInfoSearchDataV1 struct {
  333. EdbDataId int `description:"数据ID"`
  334. DataTime string `description:"数据日期"`
  335. Value string `description:"数据"`
  336. }
  337. // 优化版本-处理数据精度问题
  338. func GetEdbDataListAllV1(condition string, pars []interface{}, source, subSource, order int) (item []*EdbInfoSearchDataV1, err error) {
  339. o := orm.NewOrm()
  340. sql := ``
  341. tableName := GetEdbDataTableName(source, subSource)
  342. sql = ` SELECT * FROM %s WHERE 1=1 `
  343. sql = fmt.Sprintf(sql, tableName)
  344. if condition != "" {
  345. sql += condition
  346. }
  347. if order == 1 {
  348. sql += ` ORDER BY data_time ASC `
  349. } else {
  350. sql += ` ORDER BY data_time DESC `
  351. }
  352. _, err = o.Raw(sql, pars).QueryRows(&item)
  353. return
  354. }
  355. // GetEdbDataListAllV1ByTo 通过事务链接获取数据列表
  356. func GetEdbDataListAllV1ByTo(to orm.TxOrmer, condition string, pars []interface{}, source, subSource, order int) (item []*EdbInfoSearchDataV1, err error) {
  357. sql := ``
  358. tableName := GetEdbDataTableName(source, subSource)
  359. sql = ` SELECT * FROM %s WHERE 1=1 `
  360. sql = fmt.Sprintf(sql, tableName)
  361. if condition != "" {
  362. sql += condition
  363. }
  364. if order == 1 {
  365. sql += ` ORDER BY data_time ASC `
  366. } else {
  367. sql += ` ORDER BY data_time DESC `
  368. }
  369. _, err = to.Raw(sql, pars).QueryRows(&item)
  370. return
  371. }
  372. // GetEdbInfoByCondition 获取指标列表
  373. func GetEdbInfoByCondition(condition string, pars []interface{}, order int) (item []*EdbInfo, err error) {
  374. o := orm.NewOrm()
  375. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  376. if condition != "" {
  377. sql += condition
  378. }
  379. if order == 1 {
  380. sql += ` ORDER BY end_date ASC `
  381. } else {
  382. sql += ` ORDER BY edb_info_id ASC `
  383. }
  384. _, err = o.Raw(sql, pars).QueryRows(&item)
  385. return
  386. }
  387. // UnifiedModifyEdbInfoMaxAndMinInfo 统一修改指标的最大最小值
  388. func UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo *EdbInfo) (err error, errMsg string) {
  389. // 修改最大最小值
  390. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode)
  391. if err != nil {
  392. if err.Error() == utils.ErrNoRow() {
  393. err = nil
  394. return
  395. }
  396. errMsg = "刷新指标失败!"
  397. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  398. return
  399. }
  400. if maxAndMinItem != nil {
  401. // 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
  402. if edbInfo.ManualSave == 1 {
  403. err = ModifyEdbTimeAndLastInfo(edbInfo.EdbInfoId, maxAndMinItem)
  404. if err != nil {
  405. errMsg = "刷新指标失败!"
  406. err = errors.New("修改指标最新日期和数据失败,err:" + err.Error())
  407. return
  408. }
  409. } else {
  410. err = ModifyEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  411. if err != nil {
  412. errMsg = "刷新指标失败!"
  413. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  414. return
  415. }
  416. }
  417. }
  418. // 刷新关联的预测指标
  419. go RefreshPredictStandardBaseByGeneralEdbInfoId(edbInfo.EdbInfoId)
  420. //go ModifyPredictEdbInfoMaxAndMinInfoBySourceEdbInfoId(edbInfo.EdbInfoId, maxAndMinItem)
  421. return
  422. }
  423. // UnifiedModifyEdbInfoMaxAndMinInfoDataUpdate 统一修改指标的最大最小值以及数据更新时间点
  424. func UnifiedModifyEdbInfoMaxAndMinInfoDataUpdate(edbInfo *EdbInfo, dataUpdateTime string) (erDataUpdateDate string, err error, errMsg string) {
  425. err, errMsg = UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo)
  426. if err != nil {
  427. return
  428. }
  429. // 获取本次刷新,指标数据更新的最早日期
  430. erDataUpdateTime, tErr := GetEdbDataUpdateTimeByModify(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode, dataUpdateTime)
  431. if tErr != nil {
  432. if tErr.Error() != utils.ErrNoRow() { //本次刷新指标数据无变化
  433. errMsg = "刷新指标失败!"
  434. err = errors.New("查询指标刷新,数据更新的最早日期失败,err:" + tErr.Error())
  435. return
  436. }
  437. } else if erDataUpdateTime.MinDate != "" {
  438. err = ModifyEdbDataUpdateTime(edbInfo.EdbInfoId, dataUpdateTime, erDataUpdateTime.MinDate)
  439. if err != nil {
  440. errMsg = "刷新指标失败!"
  441. err = errors.New("修改指标数据更新的最早日期失败,err:" + tErr.Error())
  442. return
  443. }
  444. erDataUpdateDate = erDataUpdateTime.MinDate
  445. }
  446. return
  447. }
  448. // UnifiedModifyPredictEdbInfoMaxAndMinInfo 统一修改预测运算指标的最大最小值
  449. func UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo *EdbInfo, latestDateStr string, latestValue float64) (err error, errMsg string) {
  450. // 修改最大最小值
  451. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode)
  452. if err != nil {
  453. if err.Error() == utils.ErrNoRow() {
  454. err = nil
  455. return
  456. }
  457. errMsg = "刷新指标失败!"
  458. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  459. return
  460. }
  461. // 最晚的日期的值
  462. maxAndMinItem.EndValue = maxAndMinItem.LatestValue
  463. if maxAndMinItem != nil {
  464. maxAndMinItem.LatestDate = latestDateStr
  465. maxAndMinItem.LatestValue = latestValue
  466. err = ModifyPredictEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  467. if err != nil {
  468. errMsg = "刷新指标失败!"
  469. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  470. return
  471. }
  472. }
  473. return
  474. }
  475. // GetChartPredictEdbInfoDataListByConfList 获取图表的预测指标的未来数据
  476. func GetChartPredictEdbInfoDataListByConfList(predictEdbConfList []*PredictEdbConfAndData, filtrateStartDateStr, latestDateStr, endDateStr, frequency, dataDateType string, realPredictEdbInfoData []*EdbInfoSearchData) (predictEdbInfoData []*EdbInfoSearchData, minValue, maxValue float64, err error) {
  477. endDate, err := time.ParseInLocation(utils.FormatDate, endDateStr, time.Local)
  478. if err != nil {
  479. return
  480. }
  481. latestDate, err := time.ParseInLocation(utils.FormatDate, latestDateStr, time.Local)
  482. if err != nil {
  483. return
  484. }
  485. // 开始预测数据的时间
  486. startDate := latestDate
  487. // 如果有筛选时间的话
  488. if filtrateStartDateStr != `` {
  489. filtrateStartDate, tmpErr := time.ParseInLocation(utils.FormatDate, filtrateStartDateStr, time.Local)
  490. if tmpErr != nil {
  491. err = tmpErr
  492. return
  493. }
  494. //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
  495. if filtrateStartDate.After(latestDate) {
  496. startDate = filtrateStartDate.AddDate(0, 0, -1)
  497. }
  498. }
  499. //var dateArr []string
  500. // 对应日期的值
  501. existMap := make(map[string]float64)
  502. for _, v := range realPredictEdbInfoData {
  503. //dateArr = append(dateArr, v.DataTime)
  504. existMap[v.DataTime] = v.Value
  505. }
  506. predictEdbInfoData = make([]*EdbInfoSearchData, 0)
  507. //dataValue := lastDataValue
  508. //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
  509. for _, predictEdbConf := range predictEdbConfList {
  510. dataEndTime := endDate
  511. if predictEdbConf.EndDate.Before(dataEndTime) {
  512. dataEndTime = predictEdbConf.EndDate
  513. }
  514. var tmpMinValue, tmpMaxValue float64 // 当前预测结果中的最大/最小值
  515. dayList := getPredictEdbDayList(startDate, dataEndTime, frequency, dataDateType)
  516. 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
  517. continue
  518. }
  519. switch predictEdbConf.RuleType {
  520. case 1: //1:最新
  521. var lastDataValue float64 //最新值
  522. tmpAllData := make([]*EdbInfoSearchData, 0)
  523. tmpAllData = append(tmpAllData, realPredictEdbInfoData...)
  524. tmpAllData = append(tmpAllData, predictEdbInfoData...)
  525. lenTmpAllData := len(tmpAllData)
  526. if lenTmpAllData > 0 {
  527. lastDataValue = tmpAllData[lenTmpAllData-1].Value
  528. }
  529. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, lastDataValue, dayList, predictEdbInfoData, existMap)
  530. tmpMaxValue = lastDataValue
  531. tmpMinValue = lastDataValue
  532. case 2: //2:固定值
  533. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  534. if tmpErr != nil {
  535. err = tmpErr
  536. return
  537. }
  538. dataValue, _ := tmpValDecimal.Float64()
  539. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, dataValue, dayList, predictEdbInfoData, existMap)
  540. tmpMaxValue = dataValue
  541. tmpMinValue = dataValue
  542. case 3: //3:同比
  543. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  544. if tmpErr != nil {
  545. err = tmpErr
  546. return
  547. }
  548. tbValue, _ := tmpValDecimal.Float64()
  549. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTb(predictEdbConf.PredictEdbInfoId, tbValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  550. case 4: //4:同差
  551. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  552. if tmpErr != nil {
  553. err = tmpErr
  554. return
  555. }
  556. tcValue, _ := tmpValDecimal.Float64()
  557. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTc(predictEdbConf.PredictEdbInfoId, tcValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  558. case 5: //5:环比
  559. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  560. if tmpErr != nil {
  561. err = tmpErr
  562. return
  563. }
  564. hbValue, _ := tmpValDecimal.Float64()
  565. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHb(predictEdbConf.PredictEdbInfoId, hbValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  566. case 6: //6:环差
  567. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  568. if tmpErr != nil {
  569. err = tmpErr
  570. return
  571. }
  572. hcValue, _ := tmpValDecimal.Float64()
  573. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHc(predictEdbConf.PredictEdbInfoId, hcValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  574. case 7: //7:N期移动均值
  575. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  576. if tmpErr != nil {
  577. err = tmpErr
  578. return
  579. }
  580. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleNMoveMeanValue(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  581. case 8: //8:N期段线性外推值
  582. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  583. if tmpErr != nil {
  584. err = tmpErr
  585. return
  586. }
  587. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNLinearRegression(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  588. if err != nil {
  589. return
  590. }
  591. case 9: //9:动态环差”预测规则;
  592. hcDataMap := make(map[string]float64) //规则计算的环差值map
  593. if predictEdbConf.PredictEdbInfoId > 0 {
  594. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  595. if tmpErr != nil {
  596. err = tmpErr
  597. return
  598. }
  599. for _, v := range tmpPredictEdbRuleDataList {
  600. hcDataMap[v.DataTime] = v.Value
  601. }
  602. } else {
  603. if len(predictEdbConf.DataList) <= 0 {
  604. return
  605. }
  606. for _, v := range predictEdbConf.DataList {
  607. currentDate, tmpErr := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
  608. if tmpErr != nil {
  609. continue
  610. }
  611. // 只处理时间段内的数据
  612. if currentDate.Before(startDate) || currentDate.After(endDate) {
  613. continue
  614. }
  615. hcDataMap[v.DataTime] = v.Value
  616. }
  617. }
  618. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTrendsHC(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, hcDataMap, existMap)
  619. case 10: //10:根据 给定终值后插值 规则获取预测数据
  620. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  621. if tmpErr != nil {
  622. err = tmpErr
  623. return
  624. }
  625. finalValue, _ := tmpValDecimal.Float64()
  626. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleFinalValueHc(predictEdbConf.PredictEdbInfoId, finalValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  627. case 11: //11:根据 季节性 规则获取预测数据
  628. var seasonConf SeasonConf
  629. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &seasonConf)
  630. if tmpErr != nil {
  631. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  632. return
  633. }
  634. calendar := "公历"
  635. if seasonConf.Calendar == "农历" {
  636. calendar = "农历"
  637. }
  638. yearList := make([]int, 0)
  639. //选择方式,1:连续N年;2:指定年份
  640. if seasonConf.YearType == 1 {
  641. if seasonConf.NValue < 1 {
  642. err = errors.New("连续N年不允许小于1")
  643. return
  644. }
  645. currYear := time.Now().Year()
  646. for i := 0; i < seasonConf.NValue; i++ {
  647. yearList = append(yearList, currYear-i-1)
  648. }
  649. } else {
  650. yearList = seasonConf.YearList
  651. }
  652. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleSeason(predictEdbConf.PredictEdbInfoId, yearList, calendar, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  653. if err != nil {
  654. return
  655. }
  656. case 12: //12:根据 移动平均同比 规则获取预测数据
  657. var moveAverageConf MoveAverageConf
  658. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &moveAverageConf)
  659. if tmpErr != nil {
  660. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  661. return
  662. }
  663. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleMoveAverageTb(predictEdbConf.PredictEdbInfoId, moveAverageConf.NValue, moveAverageConf.Year, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  664. if err != nil {
  665. return
  666. }
  667. case 13: //13:根据 同比增速差值 规则获取预测数据
  668. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  669. if tmpErr != nil {
  670. err = tmpErr
  671. return
  672. }
  673. tbEndValue, _ := tmpValDecimal.Float64()
  674. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTbzscz(predictEdbConf.PredictEdbInfoId, tbEndValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  675. case 14: //14:根据 一元线性拟合 规则获取预测数据
  676. var ruleConf RuleLineNhConf
  677. err = json.Unmarshal([]byte(predictEdbConf.Value), &ruleConf)
  678. if err != nil {
  679. err = errors.New("一元线性拟合规则配置信息异常:" + err.Error())
  680. return
  681. }
  682. // 规则计算的拟合残差值map
  683. newNhccDataMap := make(map[string]float64)
  684. if predictEdbConf.PredictEdbInfoId > 0 { //已经生成的动态数据
  685. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  686. if tmpErr != nil {
  687. err = tmpErr
  688. return
  689. }
  690. for _, v := range tmpPredictEdbRuleDataList {
  691. newNhccDataMap[v.DataTime] = v.Value
  692. }
  693. } else { //未生成的动态数据,需要使用外部传入的数据进行计算
  694. newNhccDataMap, err, _ = getCalculateNhccData(append(realPredictEdbInfoData, predictEdbInfoData...), ruleConf)
  695. }
  696. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleLineNh(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, newNhccDataMap, existMap)
  697. if err != nil {
  698. return
  699. }
  700. 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;
  701. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNAnnualAverage(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  702. if err != nil {
  703. return
  704. }
  705. case 16: //16:年度值倒推
  706. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleAnnualValueInversion(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  707. if err != nil {
  708. return
  709. }
  710. }
  711. // 下一个规则的开始日期
  712. {
  713. lenPredictEdbInfoData := len(predictEdbInfoData)
  714. if lenPredictEdbInfoData > 0 {
  715. tmpDataEndTime, _ := time.ParseInLocation(utils.FormatDate, predictEdbInfoData[lenPredictEdbInfoData-1].DataTime, time.Local)
  716. if startDate.Before(tmpDataEndTime) {
  717. startDate = tmpDataEndTime
  718. }
  719. }
  720. }
  721. if tmpMinValue < minValue {
  722. minValue = tmpMinValue
  723. }
  724. if tmpMaxValue < maxValue {
  725. maxValue = tmpMaxValue
  726. }
  727. }
  728. return
  729. }
  730. // GetPredictEdbDayList 获取预测指标日期列表
  731. // GetPredictEdbDayList 获取预测指标日期列表
  732. func getPredictEdbDayList(startDate, endDate time.Time, frequency, dataDateType string) (dayList []time.Time) {
  733. if dataDateType == `` {
  734. dataDateType = `交易日`
  735. }
  736. switch frequency {
  737. case "日度":
  738. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 1) {
  739. // 如果日期类型是交易日的时候,那么需要将周六、日排除
  740. if dataDateType == `交易日` && (currDate.Weekday() == time.Sunday || currDate.Weekday() == time.Saturday) {
  741. continue
  742. }
  743. dayList = append(dayList, currDate)
  744. }
  745. case "周度":
  746. //nextDate := startDate.AddDate(0, 0, 7)
  747. for currDate := startDate.AddDate(0, 0, 7); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 7) {
  748. dayList = append(dayList, currDate)
  749. }
  750. case "旬度":
  751. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); {
  752. nextDate := currDate.AddDate(0, 0, 1)
  753. //每个月的10号、20号、最后一天,那么就写入
  754. if nextDate.Day() == 11 || nextDate.Day() == 21 || nextDate.Day() == 1 {
  755. dayList = append(dayList, currDate)
  756. }
  757. currDate = nextDate
  758. }
  759. case "月度":
  760. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  761. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  762. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  763. dayList = append(dayList, currDate)
  764. }
  765. currDate = currDate.AddDate(0, 0, 1)
  766. }
  767. case "季度":
  768. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  769. // 每月的最后一天
  770. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  771. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  772. // 季度日期就写入,否则不写入
  773. if currDate.Month() == 3 || currDate.Month() == 6 || currDate.Month() == 9 || currDate.Month() == 12 {
  774. dayList = append(dayList, currDate)
  775. }
  776. }
  777. currDate = currDate.AddDate(0, 0, 1)
  778. }
  779. case "半年度":
  780. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  781. // 每月的最后一天
  782. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  783. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  784. // 半年度日期就写入,否则不写入
  785. if currDate.Month() == 6 || currDate.Month() == 12 {
  786. dayList = append(dayList, currDate)
  787. }
  788. }
  789. currDate = currDate.AddDate(0, 0, 1)
  790. }
  791. case "年度":
  792. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  793. currDate = time.Date(currDate.Year()+1, 12, 31, 0, 0, 0, 0, time.Now().Location())
  794. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  795. dayList = append(dayList, currDate)
  796. }
  797. }
  798. }
  799. return
  800. }
  801. // 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
  802. func GetPredictDataListByPredictEdbInfo(edbInfo *EdbInfo, order int, startDate string) (dataList []*EdbInfoSearchData, sourceEdbInfoItem *EdbInfo, err error, errMsg string) {
  803. // 查找该预测指标配置
  804. predictEdbConfList, err := GetPredictEdbConfAndDataListById(edbInfo.EdbInfoId)
  805. if err != nil && err.Error() != utils.ErrNoRow() {
  806. errMsg = "获取预测指标配置信息失败"
  807. return
  808. }
  809. if len(predictEdbConfList) == 0 {
  810. errMsg = "获取预测指标配置信息失败"
  811. err = errors.New(errMsg)
  812. return
  813. }
  814. predictEdbConf := predictEdbConfList[0]
  815. // 来源指标
  816. sourceEdbInfoItem, err = GetEdbInfoById(predictEdbConf.SourceEdbInfoId)
  817. if err != nil {
  818. if err.Error() == utils.ErrNoRow() {
  819. errMsg = "找不到来源指标信息"
  820. err = errors.New(errMsg)
  821. }
  822. return
  823. }
  824. dataList, err, errMsg = GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem, predictEdbConfList, order, startDate)
  825. return
  826. }
  827. // 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
  828. func GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem *EdbInfo, predictEdbConfList []*PredictEdbConfAndData, order int, startDate string) (dataList []*EdbInfoSearchData, err error, errMsg string) {
  829. allDataList := make([]*EdbInfoSearchData, 0)
  830. //获取指标数据(实际已生成)
  831. var condition string
  832. var pars []interface{}
  833. condition += " AND edb_info_id=? "
  834. pars = append(pars, sourceEdbInfoItem.EdbInfoId)
  835. if startDate != "" {
  836. condition += " AND data_time>=? "
  837. pars = append(pars, startDate)
  838. }
  839. tmpDataList, err := GetEdbDataListAll(condition, pars, sourceEdbInfoItem.Source, sourceEdbInfoItem.SubSource, 1)
  840. if err != nil {
  841. return
  842. }
  843. // 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
  844. if startDate != `` {
  845. allDataList, err = GetEdbDataListAll(" AND edb_info_id=? ", []interface{}{sourceEdbInfoItem.EdbInfoId}, sourceEdbInfoItem.Source, sourceEdbInfoItem.SubSource, 1)
  846. if err != nil {
  847. return
  848. }
  849. } else {
  850. allDataList = tmpDataList
  851. }
  852. // 获取预测指标未来的数据
  853. predictDataList := make([]*EdbInfoSearchData, 0)
  854. endDateStr := edbInfo.EndDate //预测指标的结束日期
  855. var predictMinValue, predictMaxValue float64
  856. // 如果有配置的预测规则,那么就进行预测
  857. if len(predictEdbConfList) > 0 {
  858. predictDataList, predictMinValue, predictMaxValue, err = GetChartPredictEdbInfoDataListByConfList(predictEdbConfList, startDate, sourceEdbInfoItem.LatestDate, endDateStr, edbInfo.Frequency, edbInfo.DataDateType, allDataList)
  859. if err != nil {
  860. return
  861. }
  862. }
  863. //order:1升序,其余值为降序
  864. if order == 1 {
  865. dataList = append(tmpDataList, predictDataList...)
  866. } else {
  867. // 先倒序预测数据
  868. lenPredictDataList := len(predictDataList)
  869. if lenPredictDataList > 0 {
  870. for k := range predictDataList {
  871. dataList = append(dataList, predictDataList[lenPredictDataList-k-1])
  872. }
  873. }
  874. // 接着倒序实际指标
  875. lenDataList := len(tmpDataList)
  876. for k := range tmpDataList {
  877. dataList = append(dataList, tmpDataList[lenDataList-k-1])
  878. }
  879. }
  880. if len(predictDataList) > 0 {
  881. // 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
  882. if edbInfo.MinValue > predictMinValue {
  883. edbInfo.MinValue = predictMinValue
  884. }
  885. // 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
  886. if edbInfo.MaxValue < predictMaxValue {
  887. edbInfo.MaxValue = predictMaxValue
  888. }
  889. }
  890. return
  891. }
  892. // GetPredictEdbDataListAll 获取该预测指标所有的数据 ,order:1升序,其余值为降序
  893. func GetPredictEdbDataListAll(edbInfo *EdbInfo, order int) (items []*EdbInfoSearchData, err error) {
  894. 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
  895. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, 1, "")
  896. } else {
  897. var condition string
  898. var pars []interface{}
  899. condition += " AND edb_info_id=? "
  900. pars = append(pars, edbInfo.EdbInfoId)
  901. items, err = GetEdbDataListAll(condition, pars, edbInfo.Source, edbInfo.SubSource, order)
  902. }
  903. return
  904. }
  905. // 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
  906. func GetPredictEdbDataListAllByStartDate(edbInfo *EdbInfo, order int, startDate string) (items []*EdbInfoSearchData, err error) {
  907. 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
  908. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, order, startDate)
  909. } else {
  910. var condition string
  911. var pars []interface{}
  912. condition += " AND edb_info_id=? "
  913. pars = append(pars, edbInfo.EdbInfoId)
  914. if startDate != "" {
  915. condition += " AND data_time>=? "
  916. pars = append(pars, startDate)
  917. }
  918. items, err = GetEdbDataListAll(condition, pars, edbInfo.Source, edbInfo.SubSource, order)
  919. }
  920. return
  921. }
  922. // ModifyPredictEdbInfoMaxAndMinInfo 修改预测指标的最新数据信息
  923. func ModifyPredictEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  924. o := orm.NewOrm()
  925. 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=? `
  926. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.LatestDate, item.LatestValue, item.EndValue, edbInfoId).Exec()
  927. return
  928. }
  929. // ModifyCalculateEdbInfo 修改计算指标信息
  930. func ModifyCalculateEdbInfo(edbName, frequency, unit, calculateFormula string, classifyId, edbInfoId int) (err error) {
  931. o := orm.NewOrm()
  932. sql := ` UPDATE edb_info
  933. SET
  934. edb_name =?,
  935. edb_name_source =?,
  936. frequency = ?,
  937. unit = ?,
  938. classify_id = ?,
  939. calculate_formula=?,
  940. modify_time = NOW()
  941. WHERE edb_info_id = ?`
  942. _, err = o.Raw(sql, edbName, edbName, frequency, unit, classifyId, calculateFormula, edbInfoId).Exec()
  943. return
  944. }
  945. func GetEdbInfoItemByCondition(condition string, pars []interface{}) (item *EdbInfoList, err error) {
  946. o := orm.NewOrm()
  947. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  948. if condition != "" {
  949. sql += condition
  950. }
  951. err = o.Raw(sql, pars).QueryRow(&item)
  952. return
  953. }
  954. func GetEdbInfoItemListByCondition() (items []*EdbInfoList, err error) {
  955. o := orm.NewOrm()
  956. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  957. _, err = o.Raw(sql).QueryRows(&items)
  958. return
  959. }
  960. // EdbInfoDetailReq 指标详情请求
  961. type EdbInfoDetailReq struct {
  962. UniqueCode string `description:"指标唯一编码"`
  963. EdbCode string `description:"指标编码"`
  964. }
  965. // EdbInfoDetailResp 指标详情返回
  966. type EdbInfoDetailResp struct {
  967. SourceName string `description:"来源名称"`
  968. EdbCode string `description:"指标编码"`
  969. EdbName string `description:"指标名称"`
  970. EdbNameSource string `description:"指标名称来源"`
  971. Frequency string `description:"频率"`
  972. Unit string `description:"单位"`
  973. StartDate string `description:"起始日期"`
  974. EndDate string `description:"终止日期"`
  975. UniqueCode string `description:"指标唯一编码"`
  976. CreateTime time.Time
  977. ModifyTime time.Time
  978. MinValue float64 `description:"指标最小值"`
  979. MaxValue float64 `description:"指标最大值"`
  980. EdbNameEn string `description:"英文指标名称"`
  981. UnitEn string `description:"英文单位"`
  982. LatestDate string `description:"数据最新日期"`
  983. LatestValue float64 `description:"数据最新值"`
  984. ChartImage string `description:"图表图片"`
  985. DataList []*EdbInfoSearchData
  986. }
  987. type AddEdbInfoParams struct {
  988. Source int `description:"来源id"`
  989. EdbCode string `description:"指标编码"`
  990. EdbName string `description:"指标名称"`
  991. Frequency string `description:"频率"`
  992. Unit string `description:"单位"`
  993. ClassifyId int `description:"分类id"`
  994. TerminalCode string `description:"终端编码"`
  995. AdminId int `description:"创建人ID"`
  996. AdminName string `description:"创建人姓名"`
  997. }
  998. // EdbInfoAdd 添加指标到指标库
  999. func EdbInfoAdd(req *AddEdbInfoParams, serverUrl string, sysUserId int, sysUserRealName string) (edbInfo *EdbInfo, err error) {
  1000. source := req.Source
  1001. //判断指标名称是否存在
  1002. var condition string
  1003. var pars []interface{}
  1004. //condition += " AND source=? "
  1005. //pars = append(pars, source)
  1006. condition += " AND edb_code=? "
  1007. pars = append(pars, req.EdbCode)
  1008. items, err := GetEdbInfoByCondition(condition, pars, 0)
  1009. if err != nil {
  1010. err = errors.New("判断指标是否存在失败,Err:" + err.Error())
  1011. return
  1012. }
  1013. if len(items) > 0 {
  1014. sql := ` UPDATE edb_info SET classify_id=?,modify_time=NOW() WHERE edb_code=? `
  1015. o := orm.NewOrm()
  1016. _, err = o.Raw(sql, req.ClassifyId, req.EdbCode).Exec()
  1017. if err != nil {
  1018. err = errors.New("更新指标分类信息失败,Err:" + err.Error())
  1019. return
  1020. }
  1021. edbInfo = items[0]
  1022. return
  1023. }
  1024. edbInfo = new(EdbInfo)
  1025. edbInfo.Source = source
  1026. sourceNameMap := map[int]string{
  1027. utils.DATA_SOURCE_THS: "同花顺",
  1028. utils.DATA_SOURCE_WIND: "wind",
  1029. utils.DATA_SOURCE_PB: "彭博",
  1030. utils.DATA_SOURCE_PB_FINANCE: "彭博财务",
  1031. utils.DATA_SOURCE_MANUAL: "手工数据",
  1032. utils.DATA_SOURCE_LZ: "隆众",
  1033. utils.DATA_SOURCE_YS: "SMM",
  1034. utils.DATA_SOURCE_GL: "钢联",
  1035. utils.DATA_SOURCE_ZZ: "郑商所",
  1036. utils.DATA_SOURCE_DL: "大商所",
  1037. utils.DATA_SOURCE_SH: "上期所",
  1038. utils.DATA_SOURCE_CFFEX: "中金所",
  1039. utils.DATA_SOURCE_SHFE: "上期能源",
  1040. utils.DATA_SOURCE_GIE: "欧洲天然气",
  1041. utils.DATA_SOURCE_LT: "路透",
  1042. utils.DATA_SOURCE_COAL: "中国煤炭市场网",
  1043. utils.DATA_SOURCE_GOOGLE_TRAVEL: "our world in data",
  1044. utils.DATA_SOURCE_MYSTEEL_CHEMICAL: "钢联化工",
  1045. utils.DATA_SOURCE_EIA_STEO: "EIA STEO报告",
  1046. utils.DATA_SOURCE_COM_TRADE: "UN",
  1047. utils.DATA_SOURCE_SCI: "SCI",
  1048. utils.DATA_SOURCE_BAIINFO: "BAIINFO",
  1049. utils.DATA_SOURCE_STOCK_PLANT: "存量装置",
  1050. utils.DATA_SOURCE_NATIONAL_STATISTICS: "国家统计局",
  1051. utils.DATA_SOURCE_FUBAO: "富宝数据",
  1052. }
  1053. sourceName, ok := sourceNameMap[source]
  1054. if !ok {
  1055. edbSource := EdbSourceIdMap[source]
  1056. if edbSource != nil {
  1057. sourceName = edbSource.SourceName
  1058. }
  1059. if sourceName == "" {
  1060. err = errors.New("指标来源异常")
  1061. return
  1062. }
  1063. }
  1064. edbInfo.SourceName = sourceName
  1065. edbType := 1 //基础指标
  1066. if source == utils.DATA_SOURCE_STOCK_PLANT {
  1067. edbType = 2 //计算指标
  1068. }
  1069. var sourceIndexName string
  1070. // 钢联化工需要校验下信息是否完整
  1071. if source == utils.DATA_SOURCE_MYSTEEL_CHEMICAL {
  1072. indexObj := new(BaseFromMysteelChemicalIndex)
  1073. tmpItem, tmpErr := indexObj.GetIndexItem(req.EdbCode)
  1074. if tmpErr != nil {
  1075. err = tmpErr
  1076. return
  1077. }
  1078. if tmpItem == nil || tmpItem.IndexName == `` {
  1079. err = errors.New("指标信息不全")
  1080. return
  1081. }
  1082. }
  1083. //获取该层级下最大的排序数
  1084. maxSort, err := GetEdbAndClassifyMaxSort(req.ClassifyId, 0)
  1085. if err != nil {
  1086. err = errors.New("查询排序信息失败,Err:" + err.Error())
  1087. return
  1088. }
  1089. edbInfo.EdbCode = req.EdbCode
  1090. edbInfo.EdbName = req.EdbName
  1091. edbInfo.EdbNameSource = req.EdbName
  1092. edbInfo.Frequency = req.Frequency
  1093. edbInfo.Unit = req.Unit
  1094. edbInfo.ClassifyId = req.ClassifyId
  1095. edbInfo.SysUserId = sysUserId
  1096. edbInfo.SysUserRealName = sysUserRealName
  1097. edbInfo.StartDate = "1990-01-01"
  1098. edbInfo.CreateTime = time.Now()
  1099. edbInfo.ModifyTime = time.Now()
  1100. edbInfo.ServerUrl = serverUrl
  1101. edbInfo.TerminalCode = req.TerminalCode
  1102. edbInfo.Sort = maxSort + 1
  1103. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1104. edbInfo.UniqueCode = utils.MD5(utils.DATA_PREFIX + "_" + req.EdbCode + timestamp)
  1105. itemVal, err := GetEdbInfoMaxAndMinInfo(source, utils.DATA_SUB_SOURCE_EDB, req.EdbCode)
  1106. if itemVal != nil && err == nil {
  1107. edbInfo.MaxValue = itemVal.MaxValue
  1108. edbInfo.MinValue = itemVal.MinValue
  1109. }
  1110. edbInfo.EdbType = edbType
  1111. edbInfo.SourceIndexName = sourceIndexName
  1112. edbInfoId, err := AddEdbInfo(edbInfo)
  1113. if err != nil {
  1114. err = errors.New("保存失败,Err:" + err.Error())
  1115. return
  1116. }
  1117. edbInfo.EdbInfoId = int(edbInfoId)
  1118. return
  1119. }
  1120. func ModifyEdbInfoBaseTimeById(edbInfoId int, cTime time.Time) (err error) {
  1121. o := orm.NewOrm()
  1122. // 更新修改时间
  1123. sql := ` UPDATE edb_info SET base_modify_time = ? WHERE edb_info_id = ? `
  1124. _, err = o.Raw(sql, cTime, edbInfoId).Exec()
  1125. return
  1126. }
  1127. // EdbInfoRefreshCheckReq 指标数据更新情况查询
  1128. type EdbInfoRefreshCheckReq struct {
  1129. Source int `description:"来源id"`
  1130. LatestDate string `description:"数据最新日期"`
  1131. FrequencyBatch string `description:"更新频度"`
  1132. }
  1133. // EdbInfoRefreshCheckResp 指标数据更新情况查询
  1134. type EdbInfoRefreshCheckResp struct {
  1135. UpdateNum int `description:"已更新指标数"`
  1136. UnUpdateNum int `description:"未更新指标数"`
  1137. }
  1138. // ResetEdbClassifyReq 指标重新分类请求体
  1139. type ResetEdbClassifyReq struct {
  1140. IndexCode string `description:"指标编码"`
  1141. ClassifyFirst string `description:"一级分类名称"`
  1142. ClassifySecond string `description:"二级分类名称"`
  1143. ClassifyThird string `description:"三级分类名称"`
  1144. }
  1145. // GetEdbInfoMaxSortByClassifyId 获取分类下指标的最大的排序数
  1146. func GetEdbInfoMaxSortByClassifyId(classifyId int) (sort int, err error) {
  1147. o := orm.NewOrm()
  1148. sql := `SELECT Max(sort) AS sort FROM edb_info WHERE classify_id=? `
  1149. err = o.Raw(sql, classifyId).QueryRow(&sort)
  1150. return
  1151. }
  1152. func GetEdbAndClassifyMaxSort(parentId int, classifyType uint8) (maxSort int, err error) {
  1153. //获取该层级下最大的排序数
  1154. classifyMaxSort, err := GetEdbClassifyMaxSort(parentId, classifyType)
  1155. if err != nil {
  1156. return
  1157. }
  1158. maxSort = classifyMaxSort
  1159. edbMaxSort, err := GetEdbInfoMaxSortByClassifyId(parentId)
  1160. if err != nil {
  1161. return
  1162. }
  1163. if maxSort < edbMaxSort {
  1164. maxSort = edbMaxSort
  1165. }
  1166. return
  1167. }
  1168. // CalculateEdbExtra 指标运算额外配置
  1169. type CalculateEdbExtra struct {
  1170. DateTag string `description:"时间序列的生成方式,all 表示所选指标的时间序列并集"`
  1171. }
  1172. // CalculateLjzEdbExtra 累计值额外配置
  1173. type CalculateLjzEdbExtra struct {
  1174. LastValType int `description:"最新值处理:0默认、均值填充"`
  1175. }
  1176. type EdbInfoEditRecord struct {
  1177. EdbInfoId int `description:"指标ID"`
  1178. EdbName string `description:"指标名称"`
  1179. Frequency string `description:"频率"`
  1180. Unit string `description:"单位"`
  1181. ClassifyId int `description:"分类id"`
  1182. CalculateFormula string `description:"计算公式"`
  1183. OperateUserId int `description:"操作人id"`
  1184. OperateUserRealName string `description:"操作人姓名"`
  1185. }