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