edb_info.go 67 KB

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  1. package models
  2. import (
  3. "encoding/json"
  4. "errors"
  5. "eta_gn/eta_index_lib/global"
  6. "eta_gn/eta_index_lib/models/mgo"
  7. "eta_gn/eta_index_lib/utils"
  8. "fmt"
  9. "gorm.io/gorm"
  10. "strconv"
  11. "time"
  12. "go.mongodb.org/mongo-driver/bson"
  13. "github.com/beego/beego/v2/client/orm"
  14. "github.com/shopspring/decimal"
  15. )
  16. type EdbInfo struct {
  17. EdbInfoId int `gorm:"primaryKey;autoIncrement;column:edb_info_id" description:"唯一标识"`
  18. EdbInfoType int `gorm:"column:edb_info_type" description:"指标类型,0:普通指标,1:预测指标"`
  19. SourceName string `gorm:"column:source_name" description:"来源名称"`
  20. Source int `gorm:"column:source" description:"来源id"`
  21. EdbCode string `gorm:"column:edb_code" description:"指标编码"`
  22. EdbName string `gorm:"column:edb_name" description:"指标名称"`
  23. EdbNameEn string `gorm:"column:edb_name_en" description:"英文指标名称"`
  24. EdbNameSource string `gorm:"column:edb_name_source" description:"指标名称来源"`
  25. Frequency string `gorm:"column:frequency" description:"频率"`
  26. Unit string `gorm:"column:unit" description:"单位"`
  27. UnitEn string `gorm:"column:unit_en" description:"英文单位"`
  28. StartDate string `gorm:"column:start_date" description:"起始日期"`
  29. EndDate string `gorm:"column:end_date" description:"终止日期"`
  30. ClassifyId int `gorm:"column:classify_id" description:"分类id"`
  31. SysUserId int `gorm:"column:sys_user_id" description:"系统用户ID"`
  32. SysUserRealName string `gorm:"column:sys_user_real_name" description:"系统用户真实姓名"`
  33. UniqueCode string `gorm:"column:unique_code" description:"指标唯一编码"`
  34. CreateTime time.Time `gorm:"column:create_time" description:"创建时间"`
  35. ModifyTime time.Time `gorm:"column:modify_time" description:"修改时间"`
  36. BaseModifyTime time.Time `gorm:"column:base_modify_time" description:"基础修改时间"`
  37. MinValue float64 `gorm:"column:min_value" description:"指标最小值"`
  38. MaxValue float64 `gorm:"column:max_value" description:"指标最大值"`
  39. CalculateFormula string `gorm:"column:calculate_formula" description:"计算公式"`
  40. EdbType int `gorm:"column:edb_type" description:"指标类型:1:基础指标,2:计算指标"`
  41. IsUpdate int `gorm:"column:is_update" description:"当天是否已更新,1:未更新,2:已更新"`
  42. Sort int `gorm:"column:sort" description:"排序字段"`
  43. LatestDate string `gorm:"column:latest_date" description:"数据最新日期(实际日期)"`
  44. LatestValue float64 `gorm:"column:latest_value" description:"数据最新值(实际值)"`
  45. EndValue float64 `gorm:"column:end_value" description:"数据的最新值(预测日期的最新值)"`
  46. MoveType int `gorm:"column:move_type" description:"移动方式:1:领先(默认),2:滞后"`
  47. MoveFrequency string `gorm:"column:move_frequency" description:"移动频度"`
  48. NoUpdate int8 `gorm:"column:no_update" description:"是否停止更新,0:继续更新;1:停止更新"`
  49. ServerUrl string `gorm:"column:server_url" description:"服务器地址"`
  50. ChartImage string `gorm:"column:chart_image" description:"图表图片"`
  51. Calendar string `gorm:"column:calendar;default:公历" description:"公历/农历"`
  52. EmptyType int `gorm:"column:empty_type" 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)"`
  53. MaxEmptyType int `gorm:"column:max_empty_type" description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  54. DataDateType string `gorm:"column:data_date_type;size:255;default:交易日" description:"数据日期类型"`
  55. ManualSave int `gorm:"column:manual_save" description:"是否有手动保存过上下限: 0-否; 1-是"`
  56. TerminalCode string `gorm:"column:terminal_code" description:"终端编码,用于配置在机器上"`
  57. DataUpdateTime string `gorm:"column:data_update_time" description:"最近一次数据发生变化的时间"`
  58. ErDataUpdateDate string `gorm:"column:er_data_update_date" description:"本次更新,数据发生变化的最早日期"`
  59. SourceIndexName string `gorm:"column:source_index_name" description:"数据源中的指标名称"`
  60. SubSource int `gorm:"column:sub_source" description:"子数据来源:0:经济数据库,1:日期序列"`
  61. SubSourceName string `gorm:"column:sub_source_name" description:"子数据来源名称"`
  62. IndicatorCode string `gorm:"column:indicator_code" description:"指标代码"`
  63. StockCode string `gorm:"column:stock_code" description:"证券代码"`
  64. Extra string `gorm:"column:extra" description:"指标的额外配置"`
  65. OriginalEdbCode string `description:"指标原始编码"`
  66. }
  67. func (e *EdbInfo) Add() (err error) {
  68. err = global.DEFAULT_DmSQL.Create(e).Error
  69. return
  70. }
  71. // AfterFind 在该模型上设置钩子函数,把日期转成正确的string,所以查询函数只能用Find函数,First或者Scan是不会触发该函数的来获取数据
  72. func (m *EdbInfo) AfterFind(db *gorm.DB) (err error) {
  73. if m.StartDate != "" {
  74. minDateTmp, e := time.ParseInLocation(utils.FormatDateWallWithLoc, m.StartDate, time.Local)
  75. if e != nil {
  76. err = e
  77. return
  78. }
  79. m.StartDate = minDateTmp.Format(utils.FormatDate)
  80. }
  81. if m.EndDate != "" {
  82. maxDateTmp, e := time.ParseInLocation(utils.FormatDateWallWithLoc, m.EndDate, time.Local)
  83. if e != nil {
  84. err = e
  85. return
  86. }
  87. m.EndDate = maxDateTmp.Format(utils.FormatDate)
  88. }
  89. if m.LatestDate != "" {
  90. maxDateTmp, e := time.ParseInLocation(utils.FormatDateWallWithLoc, m.LatestDate, time.Local)
  91. if e != nil {
  92. err = e
  93. return
  94. }
  95. m.LatestDate = maxDateTmp.Format(utils.FormatDate)
  96. }
  97. if m.DataUpdateTime != "" {
  98. maxDateTmp, e := time.ParseInLocation(utils.FormatDateWallWithLoc, m.DataUpdateTime, time.Local)
  99. if e != nil {
  100. err = e
  101. return
  102. }
  103. m.DataUpdateTime = maxDateTmp.Format(utils.FormatDate)
  104. }
  105. return
  106. }
  107. // ConvertDate
  108. // @Description: 格式化EdbInfo的日期
  109. // @receiver e
  110. func (e *EdbInfo) ConvertDate() {
  111. e.StartDate = utils.GormDateStrToDateStr(e.StartDate)
  112. e.EndDate = utils.GormDateStrToDateStr(e.EndDate)
  113. e.LatestDate = utils.GormDateStrToDateStr(e.LatestDate)
  114. e.DataUpdateTime = utils.GormDateStrToDateStr(e.DataUpdateTime)
  115. return
  116. }
  117. // AddEdbInfo 添加指标
  118. func AddEdbInfo(item *EdbInfo) (lastId int64, err error) {
  119. err = global.DEFAULT_DmSQL.Create(item).Error
  120. return
  121. }
  122. // EdbInfoList 指标数据列表
  123. type EdbInfoList struct {
  124. FrequencyEn string `gorm:"-" description:"英文频率"`
  125. EdbNameAlias string `gorm:"-" json:"-" description:"指标名称,别名"`
  126. RuleType int `gorm:"-" description:"预测规则,1:最新,2:固定值"`
  127. FixedValue float64 `gorm:"-" description:"固定值"`
  128. DataList []*EdbData `gorm:"-" description:"实际指标数据"`
  129. PredictDataList []*EdbData `gorm:"-" description:"预测指标数据"`
  130. Button EdbClassifyItemsButton `gorm:"-" description:"操作权限"`
  131. IsEnEdb bool `gorm:"-" description:"是否展示英文标识"`
  132. EdbInfoId int `gorm:"primaryKey;autoIncrement;column:edb_info_id" description:"唯一标识"`
  133. EdbInfoType int `gorm:"column:edb_info_type" description:"指标类型,0:普通指标,1:预测指标"`
  134. SourceName string `gorm:"column:source_name" description:"来源名称"`
  135. Source int `gorm:"column:source" description:"来源id"`
  136. EdbCode string `gorm:"column:edb_code" description:"指标编码"`
  137. EdbName string `gorm:"column:edb_name" description:"指标名称"`
  138. EdbNameEn string `gorm:"column:edb_name_en" description:"英文指标名称"`
  139. //EdbNameSource string `gorm:"column:edb_name_source" description:"指标名称来源"`
  140. Frequency string `gorm:"column:frequency" description:"频率"`
  141. Unit string `gorm:"column:unit" description:"单位"`
  142. UnitEn string `gorm:"column:unit_en" description:"英文单位"`
  143. StartDate string `gorm:"column:start_date" description:"起始日期"`
  144. EndDate string `gorm:"column:end_date" description:"终止日期"`
  145. ClassifyId int `gorm:"column:classify_id" description:"分类id"`
  146. SysUserId int `gorm:"column:sys_user_id" description:"系统用户ID"`
  147. SysUserRealName string `gorm:"column:sys_user_real_name" description:"系统用户真实姓名"`
  148. UniqueCode string `gorm:"column:unique_code" description:"指标唯一编码"`
  149. CreateTime string `gorm:"column:create_time" description:"创建时间"`
  150. ModifyTime string `gorm:"column:modify_time" description:"修改时间"`
  151. //BaseModifyTime time.Time `gorm:"column:base_modify_time" description:"基础修改时间"`
  152. //MinValue float64 `gorm:"column:min_value" description:"指标最小值"`
  153. /*MaxValue float64 `gorm:"column:max_value" description:"指标最大值"`
  154. CalculateFormula string `gorm:"column:calculate_formula" description:"计算公式"`*/
  155. EdbType int `gorm:"column:edb_type" description:"指标类型:1:基础指标,2:计算指标"`
  156. //IsUpdate int `gorm:"column:is_update" description:"当天是否已更新,1:未更新,2:已更新"`
  157. //Sort int `gorm:"column:sort" description:"排序字段"`
  158. LatestDate string `gorm:"column:latest_date" description:"数据最新日期(实际日期)"`
  159. LatestValue float64 `gorm:"column:latest_value" description:"数据最新值(实际值)"`
  160. EndValue float64 `gorm:"column:end_value" description:"数据的最新值(预测日期的最新值)"`
  161. //MoveType int `gorm:"column:move_type" description:"移动方式:1:领先(默认),2:滞后"`
  162. //MoveFrequency string `gorm:"column:move_frequency" description:"移动频度"`
  163. NoUpdate int8 `gorm:"column:no_update" description:"是否停止更新,0:继续更新;1:停止更新"`
  164. //ServerUrl string `gorm:"column:server_url" description:"服务器地址"`
  165. ChartImage string `gorm:"column:chart_image" description:"图表图片"`
  166. //Calendar string `gorm:"column:calendar;default:公历" description:"公历/农历"`
  167. EmptyType int `gorm:"column:empty_type" 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)"`
  168. MaxEmptyType int `gorm:"column:max_empty_type" description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  169. DataDateType string `gorm:"column:data_date_type;size:255;default:交易日" description:"数据日期类型"`
  170. /*ManualSave int `gorm:"column:manual_save" description:"是否有手动保存过上下限: 0-否; 1-是"`
  171. TerminalCode string `gorm:"column:terminal_code" description:"终端编码,用于配置在机器上"`
  172. DataUpdateTime string `gorm:"column:data_update_time" description:"最近一次数据发生变化的时间"`
  173. ErDataUpdateDate string `gorm:"column:er_data_update_date" description:"本次更新,数据发生变化的最早日期"`
  174. SourceIndexName string `gorm:"column:source_index_name" description:"数据源中的指标名称"`*/
  175. SubSource int `gorm:"column:sub_source" description:"子数据来源:0:经济数据库,1:日期序列"`
  176. SubSourceName string `gorm:"column:sub_source_name" description:"子数据来源名称"`
  177. IndicatorCode string `gorm:"column:indicator_code" description:"指标代码"`
  178. StockCode string `gorm:"column:stock_code" description:"证券代码"`
  179. //Extra string `gorm:"column:extra" description:"指标的额外配置"`
  180. }
  181. // ConvertDate
  182. // @Description: 格式化EdbInfoList的日期
  183. // @receiver e
  184. func (e *EdbInfoList) ConvertDate() {
  185. e.CreateTime = utils.GormDateStrToDateTimeStr(e.CreateTime)
  186. e.ModifyTime = utils.GormDateStrToDateTimeStr(e.ModifyTime)
  187. e.StartDate = utils.GormDateStrToDateStr(e.StartDate)
  188. e.EndDate = utils.GormDateStrToDateStr(e.EndDate)
  189. e.LatestDate = utils.GormDateStrToDateStr(e.LatestDate)
  190. return
  191. }
  192. // EdbClassifyItemsButton 操作按钮
  193. type EdbClassifyItemsButton struct {
  194. AddButton bool `description:"是否可添加"`
  195. OpButton bool `description:"是否可编辑"`
  196. DeleteButton bool `description:"是否可删除"`
  197. MoveButton bool `description:"是否可移动"`
  198. ShowEdbRelation bool `description:"是否展示关联指标"`
  199. ShowChartRelation bool `description:"是否展示关联图表"`
  200. }
  201. // GetEdbInfoByName 根据指标名称获取所有的指标数据列表
  202. func GetEdbInfoByName(edbName string) (items []*EdbInfoList, err error) {
  203. sql := ` SELECT * FROM edb_info WHERE edb_name=? `
  204. err = global.DEFAULT_DmSQL.Raw(sql, edbName).Scan(&items).Error
  205. if err != nil {
  206. return
  207. }
  208. for _, edbInfoItem := range items {
  209. // 时间转格式
  210. edbInfoItem.ConvertDate()
  211. }
  212. return
  213. }
  214. // ModifyEdbInfoNameSource 根据来源修改指标名称
  215. func ModifyEdbInfoNameSource(edbNameSource string, edbInfoId int) (err error) {
  216. sql := ` UPDATE edb_info SET edb_name_source=? WHERE edb_info_id = ? `
  217. err = global.DEFAULT_DmSQL.Exec(sql, edbNameSource, edbInfoId).Error
  218. return
  219. }
  220. // GetEdbInfoById 根据指标id获取指标信息
  221. func GetEdbInfoById(edbInfoId int) (item *EdbInfo, err error) {
  222. sql := ` SELECT * FROM edb_info WHERE edb_info_id = ? `
  223. err = global.DEFAULT_DmSQL.Raw(sql, edbInfoId).First(&item).Error
  224. if err != nil {
  225. return
  226. }
  227. // 格式化日期
  228. item.ConvertDate()
  229. return
  230. }
  231. // GetEdbInfoByUniqueCode 根据指标唯一编码获取指标信息
  232. func GetEdbInfoByUniqueCode(uniqueCode string) (item *EdbInfo, err error) {
  233. sql := ` SELECT * FROM edb_info WHERE unique_code=? `
  234. err = global.DEFAULT_DmSQL.Raw(sql, uniqueCode).First(&item).Error
  235. if err != nil {
  236. return
  237. }
  238. // 格式化日期
  239. item.ConvertDate()
  240. return
  241. }
  242. // GetEdbInfoByIdList 根据指标id列表获取指标信息
  243. func GetEdbInfoByIdList(edbInfoIdList []int) (items []*EdbInfo, err error) {
  244. num := len(edbInfoIdList)
  245. if num <= 0 {
  246. return
  247. }
  248. sql := ` SELECT * FROM edb_info WHERE edb_info_id in (` + utils.GetOrmInReplace(num) + `) `
  249. err = global.DEFAULT_DmSQL.Raw(sql, edbInfoIdList).Scan(&items).Error
  250. return
  251. }
  252. // Update 更新EdbInfo信息
  253. func (edbInfo *EdbInfo) Update(cols []string) (err error) {
  254. err = global.DEFAULT_DmSQL.Model(edbInfo).Select(cols).Updates(edbInfo).Error
  255. return
  256. }
  257. // EdbInfoSearchData
  258. // @Description: 指标数据
  259. type EdbInfoSearchData struct {
  260. EdbDataId int `description:"数据ID"`
  261. EdbInfoId int `description:"指标ID"`
  262. DataTime string `description:"数据日期"`
  263. Value float64 `description:"数据"`
  264. EdbCode string `description:"指标编码"`
  265. DataTimestamp int64 `description:"时间戳"`
  266. }
  267. // ConvertTimeStr
  268. // @Description: 转成需要输出的格式
  269. // @receiver m
  270. func (m *EdbInfoSearchData) ConvertTimeStr() {
  271. m.DataTime = utils.GormDateStrToDateStr(m.DataTime)
  272. return
  273. }
  274. type FindEdbDataListAllCond struct {
  275. EdbInfoId int
  276. StartDataTime string
  277. StartDataTimeCond string
  278. EndDataTime string
  279. EndDataTimeCond string
  280. }
  281. // GetEdbDataListAll
  282. // @Description: 获取指标数据列表 order:1升序,其余值为降序
  283. // @author: Roc
  284. // @datetime 2024-05-08 15:34:01
  285. // @param source int
  286. // @param subSource int
  287. // @param findEdbDataListAllCond FindEdbDataListAllCond
  288. // @param order int order:1升序,其余值为降序
  289. // @return item []*EdbInfoSearchData
  290. // @return err error
  291. func GetEdbDataListAll(source, subSource int, findEdbDataListAllCond FindEdbDataListAllCond, order int) (item []*EdbInfoSearchData, err error) {
  292. if source == utils.DATA_SOURCE_BUSINESS && utils.UseMongo {
  293. return GetEdbDataListAllByMongo(source, subSource, findEdbDataListAllCond, order)
  294. }
  295. return GetEdbDataListAllByMysql(source, subSource, findEdbDataListAllCond, order)
  296. }
  297. // GetEdbDataListAllByMysql
  298. // @Description: 从mysql数据库中获取指标数据列表 order:1升序,其余值为降序
  299. // @author: Roc
  300. // @datetime 2024-05-08 15:32:55
  301. // @param source int
  302. // @param subSource int
  303. // @param findEdbDataListAllCond FindEdbDataListAllCond
  304. // @param order int
  305. // @return items []*EdbInfoSearchData
  306. // @return err error
  307. func GetEdbDataListAllByMysql(source, subSource int, findEdbDataListAllCond FindEdbDataListAllCond, order int) (items []*EdbInfoSearchData, err error) {
  308. if findEdbDataListAllCond.EdbInfoId <= 0 {
  309. return
  310. }
  311. sql := ``
  312. tableName := GetEdbDataTableName(source, subSource)
  313. sql = ` SELECT * FROM %s WHERE 1=1 `
  314. sql = fmt.Sprintf(sql, tableName)
  315. var condition string
  316. var pars []interface{}
  317. condition += " AND edb_info_id=? "
  318. pars = append(pars, findEdbDataListAllCond.EdbInfoId)
  319. // 开始日期
  320. if findEdbDataListAllCond.StartDataTime != "" && findEdbDataListAllCond.StartDataTimeCond != `` {
  321. condition += fmt.Sprintf(" AND data_time %s ? ", findEdbDataListAllCond.StartDataTimeCond)
  322. pars = append(pars, findEdbDataListAllCond.StartDataTime)
  323. }
  324. // 结束日期
  325. if findEdbDataListAllCond.EndDataTime != "" && findEdbDataListAllCond.EndDataTimeCond != `` {
  326. condition += fmt.Sprintf(" AND data_time %s ? ", findEdbDataListAllCond.EndDataTimeCond)
  327. pars = append(pars, findEdbDataListAllCond.EndDataTime)
  328. }
  329. if condition != "" {
  330. sql += condition
  331. }
  332. if order == 1 {
  333. sql += ` ORDER BY data_time ASC `
  334. } else {
  335. sql += ` ORDER BY data_time DESC `
  336. }
  337. // todo
  338. err = global.DEFAULT_DmSQL.Raw(sql, pars...).Scan(&items).Error
  339. if err != nil {
  340. return
  341. }
  342. // 统一处理日期
  343. for _, v := range items {
  344. v.ConvertTimeStr()
  345. }
  346. return
  347. }
  348. // GetEdbDataListAllByTo
  349. // @Description: 根据事务链接获取指标数据列表 order:1升序,其余值为降序
  350. // @author: Roc
  351. // @datetime 2024-05-08 15:34:06
  352. // @param to *gorm.DB
  353. // @param source int
  354. // @param subSource int
  355. // @param findEdbDataListAllCond FindEdbDataListAllCond
  356. // @param order int
  357. // @return item []*EdbInfoSearchData
  358. // @return err error
  359. func GetEdbDataListAllByTo(to *gorm.DB, source, subSource int, findEdbDataListAllCond FindEdbDataListAllCond, order int) (item []*EdbInfoSearchData, err error) {
  360. if source == utils.DATA_SOURCE_BUSINESS && utils.UseMongo {
  361. return GetEdbDataListAllByMongo(source, subSource, findEdbDataListAllCond, order)
  362. }
  363. return GetEdbDataListAllByMysqlTo(to, source, subSource, findEdbDataListAllCond, order)
  364. }
  365. // GetEdbDataListAllByMysqlTo
  366. // @Description: 根据事务链接获取指标数据列表 order:1升序,其余值为降序(Mysql)
  367. // @author: Roc
  368. // @datetime 2024-05-08 15:34:13
  369. // @param to *gorm.DB
  370. // @param source int
  371. // @param subSource int
  372. // @param findEdbDataListAllCond FindEdbDataListAllCond
  373. // @param order int
  374. // @return items []*EdbInfoSearchData
  375. // @return err error
  376. func GetEdbDataListAllByMysqlTo(to *gorm.DB, source, subSource int, findEdbDataListAllCond FindEdbDataListAllCond, order int) (items []*EdbInfoSearchData, err error) {
  377. if findEdbDataListAllCond.EdbInfoId <= 0 {
  378. return
  379. }
  380. sql := ``
  381. tableName := GetEdbDataTableName(source, subSource)
  382. sql = ` SELECT * FROM %s WHERE 1=1 `
  383. sql = fmt.Sprintf(sql, tableName)
  384. var condition string
  385. var pars []interface{}
  386. condition += " AND edb_info_id=? "
  387. pars = append(pars, findEdbDataListAllCond.EdbInfoId)
  388. // 开始日期
  389. if findEdbDataListAllCond.StartDataTime != "" && findEdbDataListAllCond.StartDataTimeCond != `` {
  390. condition += fmt.Sprintf(" AND data_time %s ? ", findEdbDataListAllCond.StartDataTimeCond)
  391. pars = append(pars, findEdbDataListAllCond.StartDataTime)
  392. }
  393. // 结束日期
  394. if findEdbDataListAllCond.EndDataTime != "" && findEdbDataListAllCond.EndDataTimeCond != `` {
  395. condition += fmt.Sprintf(" AND data_time %s ? ", findEdbDataListAllCond.EndDataTimeCond)
  396. pars = append(pars, findEdbDataListAllCond.EndDataTime)
  397. }
  398. if condition != "" {
  399. sql += condition
  400. }
  401. if order == 1 {
  402. sql += ` ORDER BY data_time ASC `
  403. } else {
  404. sql += ` ORDER BY data_time DESC `
  405. }
  406. err = to.Raw(sql, pars...).Scan(&items).Error
  407. if err != nil {
  408. return
  409. }
  410. // 统一处理日期
  411. for _, v := range items {
  412. v.ConvertTimeStr()
  413. }
  414. return
  415. }
  416. // GetEdbDataListAllByMongo
  417. // @Description: 根据事务链接获取指标数据列表 order:1升序,其余值为降序(Mongo)
  418. // @author: Roc
  419. // @datetime 2024-05-08 15:34:24
  420. // @param source int
  421. // @param subSource int
  422. // @param findEdbDataListAllCond FindEdbDataListAllCond
  423. // @param order int
  424. // @return dataList []*EdbInfoSearchData
  425. // @return err error
  426. func GetEdbDataListAllByMongo(source, subSource int, findEdbDataListAllCond FindEdbDataListAllCond, order int) (dataList []*EdbInfoSearchData, err error) {
  427. dataList = make([]*EdbInfoSearchData, 0)
  428. if findEdbDataListAllCond.EdbInfoId <= 0 {
  429. return
  430. }
  431. mogDataObj := mgo.EdbDataBusiness{}
  432. // 构建查询条件
  433. queryConditions := bson.M{
  434. "edb_info_id": findEdbDataListAllCond.EdbInfoId,
  435. }
  436. dateCondition, err := mgo.BuildDateCondition(findEdbDataListAllCond.StartDataTime, findEdbDataListAllCond.EndDataTime)
  437. if err != nil {
  438. return
  439. }
  440. if len(dateCondition) > 0 {
  441. queryConditions["data_time"] = dateCondition
  442. }
  443. sortList := make([]string, 0)
  444. if order == 1 {
  445. sortList = append(sortList, "data_time")
  446. } else {
  447. sortList = append(sortList, "-data_time")
  448. }
  449. // 获取列表数据
  450. tmpDataList, tmpErr := mogDataObj.GetAllDataList(queryConditions, sortList)
  451. if tmpErr != nil {
  452. err = tmpErr
  453. return
  454. }
  455. for k, v := range tmpDataList {
  456. dataList = append(dataList, &EdbInfoSearchData{
  457. EdbDataId: k + 1,
  458. EdbInfoId: v.EdbInfoId,
  459. EdbCode: v.EdbCode,
  460. DataTime: v.DataTime.Format(utils.FormatDate),
  461. Value: v.Value,
  462. DataTimestamp: v.DataTimestamp,
  463. })
  464. }
  465. return
  466. }
  467. // EdbInfoMaxAndMinInfo 指标最新数据记录结构体
  468. type EdbInfoMaxAndMinInfo struct {
  469. MinDate string `description:"最小日期" bson:"min_date"`
  470. MaxDate string `description:"最大日期" bson:"max_date"`
  471. MinValue float64 `description:"最小值" bson:"min_value"`
  472. MaxValue float64 `description:"最大值" bson:"max_value"`
  473. LatestValue float64 `gorm:"-" description:"最新值" bson:"latest_value"`
  474. LatestDate string `gorm:"-" description:"实际数据最新日期" bson:"latest_date"`
  475. EndValue float64 `description:"最新值" bson:"end_value"`
  476. }
  477. // AfterFind 在该模型上设置钩子函数,把日期转成正确的string,所以查询函数只能用Find函数,First或者Scan是不会触发该函数的来获取数据
  478. func (m *EdbInfoMaxAndMinInfo) AfterFind(db *gorm.DB) (err error) {
  479. if m.MinDate != "" {
  480. minDateTmp, e := time.ParseInLocation(utils.FormatDateWallWithLoc, m.MinDate, time.Local)
  481. if e != nil {
  482. err = e
  483. return
  484. }
  485. m.MinDate = minDateTmp.Format(utils.FormatDate)
  486. }
  487. if m.MaxDate != "" {
  488. maxDateTmp, e := time.ParseInLocation(utils.FormatDateWallWithLoc, m.MaxDate, time.Local)
  489. if e != nil {
  490. err = e
  491. return
  492. }
  493. m.MaxDate = maxDateTmp.Format(utils.FormatDate)
  494. }
  495. return
  496. }
  497. // EdbInfoMaxAndMinInfoTmp 指标最新数据记录结构体
  498. type EdbInfoMaxAndMinInfoTmp struct {
  499. MinDate time.Time `description:"最小日期" bson:"min_date"`
  500. MaxDate time.Time `description:"最大日期" bson:"max_date"`
  501. MinValue float64 `description:"最小值" bson:"min_value"`
  502. MaxValue float64 `description:"最大值" bson:"max_value"`
  503. LatestValue float64 `gorm:"-" description:"最新值" bson:"latest_value"`
  504. LatestDate time.Time `gorm:"-" description:"实际数据最新日期" bson:"latest_date"`
  505. EndValue float64 `description:"最新值" bson:"end_value"`
  506. }
  507. // GetEdbInfoMaxAndMinInfo 获取指标的最新数据记录信息
  508. func GetEdbInfoMaxAndMinInfo(source, subSource int, edbCode string) (item *EdbInfoMaxAndMinInfo, err error) {
  509. //itemTmp := new(EdbInfoMaxAndMinInfoTmp)
  510. sql := ``
  511. tableName := GetEdbDataTableName(source, subSource)
  512. 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=? `
  513. sql = fmt.Sprintf(sql, tableName)
  514. err = global.DEFAULT_DmSQL.Raw(sql, edbCode).First(&item).Error
  515. /*itemTmp.MinDate = itemTmp.MinDate.In(time.Local)
  516. itemTmp.MaxDate = itemTmp.MaxDate.In(time.Local)
  517. item = &EdbInfoMaxAndMinInfo{
  518. MinDate: itemTmp.MinDate.Format(utils.FormatDate),
  519. MaxDate: itemTmp.MaxDate.Format(utils.FormatDate),
  520. MinValue: itemTmp.MinValue,
  521. MaxValue: itemTmp.MaxValue,
  522. LatestValue: itemTmp.LatestValue,
  523. LatestDate: itemTmp.LatestDate.Format(utils.FormatDate),
  524. EndValue: itemTmp.EndValue,
  525. }*/
  526. var latest_value float64
  527. sql = ` SELECT value AS latest_value FROM %s WHERE edb_code=? ORDER BY data_time DESC LIMIT 1 `
  528. sql = fmt.Sprintf(sql, tableName)
  529. // todo 测试查询单个字段
  530. err = global.DEFAULT_DmSQL.Raw(sql, edbCode).Scan(&latest_value).Error
  531. item.LatestValue = latest_value
  532. return
  533. }
  534. type EdbIndoDataUpdateTime struct {
  535. MinDate string `description:"本次更新,数据发生变化的最早日期"`
  536. }
  537. // AfterFind 在该模型上设置钩子函数,把日期转成正确的string,所以查询函数只能用Find函数,First或者Scan是不会触发该函数的来获取数据
  538. func (m *EdbIndoDataUpdateTime) AfterFind(db *gorm.DB) (err error) {
  539. if m.MinDate == "" {
  540. return
  541. }
  542. minDateTmp, err := time.ParseInLocation(utils.FormatDateWallWithLoc, m.MinDate, time.Local)
  543. if err != nil {
  544. return
  545. }
  546. m.MinDate = minDateTmp.Format(utils.FormatDate)
  547. return
  548. }
  549. // GetEdbDataUpdateTimeByModify 获取指标的刷新时间获取最早的一条记录
  550. func GetEdbDataUpdateTimeByModify(source, subSource int, edbCode string, dataUpdateTime string) (item *EdbIndoDataUpdateTime, err error) {
  551. sql := ``
  552. tableName := GetEdbDataTableName(source, subSource)
  553. sql = ` SELECT MIN(data_time) AS min_date FROM %s WHERE edb_code=? and modify_time>=?`
  554. sql = fmt.Sprintf(sql, tableName)
  555. err = global.DEFAULT_DmSQL.Raw(sql, edbCode, dataUpdateTime).First(&item).Error
  556. return
  557. }
  558. // ModifyEdbInfoMaxAndMinInfo 修改指标的最新数据信息
  559. func ModifyEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  560. 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=? `
  561. err = global.DEFAULT_DmSQL.Exec(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.MaxDate, item.LatestValue, item.LatestValue, edbInfoId).Error
  562. return
  563. }
  564. // ModifyEdbTimeAndLastInfo 修改指标的最新数据信息(除上下限)
  565. func ModifyEdbTimeAndLastInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  566. 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 = ?`
  567. err = global.DEFAULT_DmSQL.Exec(sql, item.MinDate, item.MaxDate, item.MaxDate, item.LatestValue, item.LatestValue, edbInfoId).Error
  568. return
  569. }
  570. // ModifyEdbDataUpdateTime 修改指标刷新,本次数据刷新的最早日期
  571. func ModifyEdbDataUpdateTime(edbInfoId int, dataUpdateTime, erDataUpdateDate string) (err error) {
  572. sql := `UPDATE edb_info SET data_update_time = ?, er_data_update_date = ?, modify_time = NOW() WHERE edb_info_id = ?`
  573. err = global.DEFAULT_DmSQL.Exec(sql, dataUpdateTime, erDataUpdateDate, edbInfoId).Error
  574. return
  575. }
  576. // GetLteZeroEdbDataCount
  577. // @Description: 获取小于等于0的数据数量
  578. // @author: Roc
  579. // @datetime 2024-05-31 10:44:39
  580. // @param source int
  581. // @param subSource int
  582. // @param edbInfoId int
  583. // @return count int
  584. // @return err error
  585. func GetLteZeroEdbDataCount(source, subSource, edbInfoId int) (count int, err error) {
  586. if source == utils.DATA_SOURCE_BUSINESS && utils.UseMongo {
  587. return GetLteZeroEdbDataCountByMongo(source, subSource, edbInfoId)
  588. }
  589. return GetLteZeroEdbDataCountByMysql(source, subSource, edbInfoId)
  590. }
  591. // GetLteZeroEdbDataCountByMongo
  592. // @Description: 获取小于等于0的数据数量(从mongo)
  593. // @author: Roc
  594. // @datetime 2024-05-31 10:41:04
  595. // @param source int
  596. // @param subSource int
  597. // @param edbInfoId int
  598. // @return count int
  599. // @return err error
  600. func GetLteZeroEdbDataCountByMongo(source, subSource, edbInfoId int) (count int, err error) {
  601. mogDataObj := mgo.EdbDataBusiness{}
  602. // 构建查询条件
  603. whereQuery := bson.M{
  604. "edb_info_id": edbInfoId,
  605. "value": bson.M{"$lte": 0},
  606. }
  607. // 获数量数据
  608. tmpCount, err := mogDataObj.GetCountDataList(whereQuery)
  609. if err != nil {
  610. return
  611. }
  612. count = int(tmpCount)
  613. return
  614. }
  615. // GetLteZeroEdbDataCountByMysql
  616. // @Description: 获取小于等于0的数据数量(从mysql)
  617. // @author: Roc
  618. // @datetime 2024-05-31 10:29:19
  619. // @param source int
  620. // @param subSource int
  621. // @param edbInfoId int
  622. // @return count int
  623. // @return err error
  624. func GetLteZeroEdbDataCountByMysql(source, subSource, edbInfoId int) (count int, err error) {
  625. sql := ``
  626. tableName := GetEdbDataTableName(source, subSource)
  627. sql = ` SELECT COUNT(1) AS count FROM %s WHERE 1=1 AND edb_info_id =? AND value <=0 `
  628. sql = fmt.Sprintf(sql, tableName)
  629. err = global.DEFAULT_DmSQL.Raw(sql, edbInfoId).Scan(&count).Error
  630. return
  631. }
  632. // GetLastEdbData 获取最近的一条指标数据
  633. func GetLastEdbData(condition string, pars []interface{}, source, subSource int) (item *EdbInfoSearchData, err error) {
  634. sql := ``
  635. tableName := GetEdbDataTableName(source, subSource)
  636. sql = ` SELECT * FROM %s WHERE 1=1 `
  637. sql = fmt.Sprintf(sql, tableName)
  638. if condition != "" {
  639. sql += condition
  640. }
  641. sql += ` ORDER BY data_time DESC `
  642. err = global.DEFAULT_DmSQL.Raw(sql, pars...).First(&item).Error
  643. return
  644. }
  645. // GetEdbInfoByEdbCode 根据指标code获取指标信息
  646. func GetEdbInfoByEdbCode(source int, edbCode string) (item *EdbInfo, err error) {
  647. sql := ` SELECT * FROM edb_info WHERE source=? AND edb_code=? `
  648. err = global.DEFAULT_DmSQL.Raw(sql, source, edbCode).First(&item).Error
  649. if errors.Is(err, orm.ErrNoRows) {
  650. err = nil
  651. } else {
  652. // 格式化日期
  653. item.ConvertDate()
  654. }
  655. return
  656. }
  657. // GetEdbInfoOnlyByEdbCode 仅根据指标code获取指标信息
  658. func GetEdbInfoOnlyByEdbCode(edbCode string) (item *EdbInfo, err error) {
  659. sql := ` SELECT * FROM edb_info WHERE edb_code=? `
  660. err = global.DEFAULT_DmSQL.Raw(sql, edbCode).First(&item).Error
  661. if err != nil {
  662. return
  663. }
  664. // 格式化日期
  665. item.ConvertDate()
  666. return
  667. }
  668. // GetEdbInfoCalculateListByCondition 获取指标关系列表
  669. func GetEdbInfoCalculateListByCondition(condition string, pars []interface{}) (items []*EdbInfoCalculateMapping, err error) {
  670. sql := ` SELECT * FROM edb_info_calculate_mapping WHERE 1=1 `
  671. if condition != "" {
  672. sql += condition
  673. }
  674. err = global.DEFAULT_DmSQL.Raw(sql, pars...).Scan(&items).Error
  675. return
  676. }
  677. // GetEdbInfoCalculateCountByCondition 获取关联指标数量
  678. func GetEdbInfoCalculateCountByCondition(condition string, pars []interface{}) (count int, err error) {
  679. sql := ` SELECT COUNT(1) AS count FROM edb_info_calculate_mapping WHERE 1=1 `
  680. if condition != "" {
  681. sql += condition
  682. }
  683. err = global.DEFAULT_DmSQL.Raw(sql, pars...).Scan(&count).Error
  684. return
  685. }
  686. // 优化版本-处理数据精度问题
  687. type EdbInfoSearchDataV1 struct {
  688. EdbDataId int `description:"数据ID"`
  689. DataTime string `description:"数据日期"`
  690. Value string `description:"数据"`
  691. }
  692. // 优化版本-处理数据精度问题
  693. func GetEdbDataListAllV1(condition string, pars []interface{}, source, subSource, order int) (item []*EdbInfoSearchDataV1, err error) {
  694. sql := ``
  695. tableName := GetEdbDataTableName(source, subSource)
  696. sql = ` SELECT * FROM %s WHERE 1=1 `
  697. sql = fmt.Sprintf(sql, tableName)
  698. if condition != "" {
  699. sql += condition
  700. }
  701. if order == 1 {
  702. sql += ` ORDER BY data_time ASC `
  703. } else {
  704. sql += ` ORDER BY data_time DESC `
  705. }
  706. err = global.DEFAULT_DmSQL.Raw(sql, pars...).Scan(&item).Error
  707. return
  708. }
  709. // GetEdbDataListAllV1ByTo 通过事务链接获取数据列表
  710. func GetEdbDataListAllV1ByTo(to *gorm.DB, condition string, pars []interface{}, source, subSource, order int) (item []*EdbInfoSearchDataV1, err error) {
  711. sql := ``
  712. tableName := GetEdbDataTableName(source, subSource)
  713. sql = ` SELECT * FROM %s WHERE 1=1 `
  714. sql = fmt.Sprintf(sql, tableName)
  715. if condition != "" {
  716. sql += condition
  717. }
  718. if order == 1 {
  719. sql += ` ORDER BY data_time ASC `
  720. } else {
  721. sql += ` ORDER BY data_time DESC `
  722. }
  723. err = to.Raw(sql, pars...).Scan(&item).Error
  724. return
  725. }
  726. // GetEdbInfoByCondition 获取指标列表
  727. func GetEdbInfoByCondition(condition string, pars []interface{}, order int) (item []*EdbInfo, err error) {
  728. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  729. if condition != "" {
  730. sql += condition
  731. }
  732. if order == 1 {
  733. sql += ` ORDER BY end_date ASC `
  734. } else {
  735. sql += ` ORDER BY edb_info_id ASC `
  736. }
  737. err = global.DEFAULT_DmSQL.Raw(sql, pars...).Scan(&item).Error
  738. return
  739. }
  740. // UnifiedModifyEdbInfoMaxAndMinInfo 统一修改指标的最大最小值
  741. func UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo *EdbInfo) (err error, errMsg string) {
  742. // 修改最大最小值
  743. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode)
  744. if err != nil {
  745. if err.Error() == utils.ErrNoRow() {
  746. err = nil
  747. return
  748. }
  749. errMsg = "刷新指标失败!"
  750. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  751. return
  752. }
  753. if maxAndMinItem != nil {
  754. // 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
  755. if edbInfo.ManualSave == 1 {
  756. err = ModifyEdbTimeAndLastInfo(edbInfo.EdbInfoId, maxAndMinItem)
  757. if err != nil {
  758. errMsg = "刷新指标失败!"
  759. err = errors.New("修改指标最新日期和数据失败,err:" + err.Error())
  760. return
  761. }
  762. } else {
  763. err = ModifyEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  764. if err != nil {
  765. errMsg = "刷新指标失败!"
  766. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  767. return
  768. }
  769. }
  770. }
  771. // 刷新关联的预测指标
  772. go RefreshPredictStandardBaseByGeneralEdbInfoId(edbInfo.EdbInfoId)
  773. //go ModifyPredictEdbInfoMaxAndMinInfoBySourceEdbInfoId(edbInfo.EdbInfoId, maxAndMinItem)
  774. return
  775. }
  776. // UnifiedModifyEdbInfoMaxAndMinInfoDataUpdate 统一修改指标的最大最小值以及数据更新时间点
  777. func UnifiedModifyEdbInfoMaxAndMinInfoDataUpdate(edbInfo *EdbInfo, dataUpdateTime string) (erDataUpdateDate string, err error, errMsg string) {
  778. err, errMsg = UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo)
  779. if err != nil {
  780. return
  781. }
  782. // 获取本次刷新,指标数据更新的最早日期
  783. erDataUpdateTime, tErr := GetEdbDataUpdateTimeByModify(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode, dataUpdateTime)
  784. if tErr != nil {
  785. if tErr.Error() != utils.ErrNoRow() { //本次刷新指标数据无变化
  786. errMsg = "刷新指标失败!"
  787. err = errors.New("查询指标刷新,数据更新的最早日期失败,err:" + tErr.Error())
  788. return
  789. }
  790. } else if erDataUpdateTime.MinDate != "" {
  791. err = ModifyEdbDataUpdateTime(edbInfo.EdbInfoId, dataUpdateTime, erDataUpdateTime.MinDate)
  792. if err != nil {
  793. errMsg = "刷新指标失败!"
  794. err = errors.New("修改指标数据更新的最早日期失败,err:" + tErr.Error())
  795. return
  796. }
  797. erDataUpdateDate = erDataUpdateTime.MinDate
  798. }
  799. return
  800. }
  801. // UnifiedModifyPredictEdbInfoMaxAndMinInfo 统一修改预测运算指标的最大最小值
  802. func UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo *EdbInfo, latestDateStr string, latestValue float64) (err error, errMsg string) {
  803. // 修改最大最小值
  804. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode)
  805. if err != nil {
  806. if err.Error() == utils.ErrNoRow() {
  807. err = nil
  808. return
  809. }
  810. errMsg = "刷新指标失败!"
  811. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  812. return
  813. }
  814. // 最晚的日期的值
  815. maxAndMinItem.EndValue = maxAndMinItem.LatestValue
  816. if maxAndMinItem != nil {
  817. latestDateStr = utils.GormDateStrToDateStr(latestDateStr)
  818. maxAndMinItem.LatestDate = latestDateStr
  819. maxAndMinItem.LatestValue = latestValue
  820. err = ModifyPredictEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  821. if err != nil {
  822. errMsg = "刷新指标失败!"
  823. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  824. return
  825. }
  826. }
  827. return
  828. }
  829. // GetChartPredictEdbInfoDataListByConfList 获取图表的预测指标的未来数据
  830. func GetChartPredictEdbInfoDataListByConfList(predictEdbConfList []*PredictEdbConfAndData, filtrateStartDateStr, latestDateStr, endDateStr, frequency, dataDateType string, realPredictEdbInfoData []*EdbInfoSearchData) (predictEdbInfoData []*EdbInfoSearchData, minValue, maxValue float64, err error) {
  831. endDate, err := time.ParseInLocation(utils.FormatDate, endDateStr, time.Local)
  832. if err != nil {
  833. return
  834. }
  835. latestDate, err := time.ParseInLocation(utils.FormatDate, latestDateStr, time.Local)
  836. if err != nil {
  837. return
  838. }
  839. // 开始预测数据的时间
  840. startDate := latestDate
  841. // 如果有筛选时间的话
  842. if filtrateStartDateStr != `` {
  843. filtrateStartDate, tmpErr := time.ParseInLocation(utils.FormatDate, filtrateStartDateStr, time.Local)
  844. if tmpErr != nil {
  845. err = tmpErr
  846. return
  847. }
  848. //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
  849. if filtrateStartDate.After(latestDate) {
  850. startDate = filtrateStartDate.AddDate(0, 0, -1)
  851. }
  852. }
  853. //var dateArr []string
  854. // 对应日期的值
  855. existMap := make(map[string]float64)
  856. for _, v := range realPredictEdbInfoData {
  857. //dateArr = append(dateArr, v.DataTime)
  858. existMap[v.DataTime] = v.Value
  859. }
  860. predictEdbInfoData = make([]*EdbInfoSearchData, 0)
  861. //dataValue := lastDataValue
  862. //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
  863. for _, predictEdbConf := range predictEdbConfList {
  864. //dataEndTime := endDate
  865. //if predictEdbConf.EndDate.Before(dataEndTime) {
  866. // dataEndTime = predictEdbConf.EndDate
  867. //}
  868. endDate = predictEdbConf.EndDate
  869. var tmpMinValue, tmpMaxValue float64 // 当前预测结果中的最大/最小值
  870. dayList := getPredictEdbDayList(startDate, endDate, frequency, dataDateType)
  871. 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
  872. continue
  873. }
  874. switch predictEdbConf.RuleType {
  875. case 1: //1:最新
  876. var lastDataValue float64 //最新值
  877. tmpAllData := make([]*EdbInfoSearchData, 0)
  878. tmpAllData = append(tmpAllData, realPredictEdbInfoData...)
  879. tmpAllData = append(tmpAllData, predictEdbInfoData...)
  880. lenTmpAllData := len(tmpAllData)
  881. if lenTmpAllData > 0 {
  882. lastDataValue = tmpAllData[lenTmpAllData-1].Value
  883. }
  884. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, lastDataValue, dayList, predictEdbInfoData, existMap)
  885. tmpMaxValue = lastDataValue
  886. tmpMinValue = lastDataValue
  887. case 2: //2:固定值
  888. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  889. if tmpErr != nil {
  890. err = tmpErr
  891. return
  892. }
  893. dataValue, _ := tmpValDecimal.Float64()
  894. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, dataValue, dayList, predictEdbInfoData, existMap)
  895. tmpMaxValue = dataValue
  896. tmpMinValue = dataValue
  897. case 3: //3:同比
  898. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  899. if tmpErr != nil {
  900. err = tmpErr
  901. return
  902. }
  903. tbValue, _ := tmpValDecimal.Float64()
  904. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTb(predictEdbConf.PredictEdbInfoId, tbValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  905. case 4: //4:同差
  906. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  907. if tmpErr != nil {
  908. err = tmpErr
  909. return
  910. }
  911. tcValue, _ := tmpValDecimal.Float64()
  912. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTc(predictEdbConf.PredictEdbInfoId, tcValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  913. case 5: //5:环比
  914. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  915. if tmpErr != nil {
  916. err = tmpErr
  917. return
  918. }
  919. hbValue, _ := tmpValDecimal.Float64()
  920. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHb(predictEdbConf.PredictEdbInfoId, hbValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  921. case 6: //6:环差
  922. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  923. if tmpErr != nil {
  924. err = tmpErr
  925. return
  926. }
  927. hcValue, _ := tmpValDecimal.Float64()
  928. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHc(predictEdbConf.PredictEdbInfoId, hcValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  929. case 7: //7:N期移动均值
  930. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  931. if tmpErr != nil {
  932. err = tmpErr
  933. return
  934. }
  935. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleNMoveMeanValue(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  936. case 8: //8:N期段线性外推值
  937. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  938. if tmpErr != nil {
  939. err = tmpErr
  940. return
  941. }
  942. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNLinearRegression(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  943. if err != nil {
  944. return
  945. }
  946. case 9: //9:动态环差”预测规则;
  947. hcDataMap := make(map[string]float64) //规则计算的环差值map
  948. if predictEdbConf.PredictEdbInfoId > 0 {
  949. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  950. if tmpErr != nil {
  951. err = tmpErr
  952. return
  953. }
  954. for _, v := range tmpPredictEdbRuleDataList {
  955. hcDataMap[v.DataTime] = v.Value
  956. }
  957. } else {
  958. if len(predictEdbConf.DataList) <= 0 {
  959. return
  960. }
  961. for _, v := range predictEdbConf.DataList {
  962. currentDate, tmpErr := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
  963. if tmpErr != nil {
  964. continue
  965. }
  966. // 只处理时间段内的数据
  967. if currentDate.Before(startDate) || currentDate.After(endDate) {
  968. continue
  969. }
  970. hcDataMap[v.DataTime] = v.Value
  971. }
  972. }
  973. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTrendsHC(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, hcDataMap, existMap)
  974. case 10: //10:根据 给定终值后插值 规则获取预测数据
  975. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  976. if tmpErr != nil {
  977. err = tmpErr
  978. return
  979. }
  980. finalValue, _ := tmpValDecimal.Float64()
  981. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleFinalValueHc(predictEdbConf.PredictEdbInfoId, finalValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  982. case 11: //11:根据 季节性 规则获取预测数据
  983. var seasonConf SeasonConf
  984. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &seasonConf)
  985. if tmpErr != nil {
  986. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  987. return
  988. }
  989. calendar := "公历"
  990. if seasonConf.Calendar == "农历" {
  991. calendar = "农历"
  992. }
  993. yearList := make([]int, 0)
  994. //选择方式,1:连续N年;2:指定年份
  995. if seasonConf.YearType == 1 {
  996. if seasonConf.NValue < 1 {
  997. err = errors.New("连续N年不允许小于1")
  998. return
  999. }
  1000. currYear := time.Now().Year()
  1001. for i := 0; i < seasonConf.NValue; i++ {
  1002. yearList = append(yearList, currYear-i-1)
  1003. }
  1004. } else {
  1005. yearList = seasonConf.YearList
  1006. }
  1007. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleSeason(predictEdbConf.PredictEdbInfoId, yearList, calendar, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  1008. if err != nil {
  1009. return
  1010. }
  1011. case 12: //12:根据 移动平均同比 规则获取预测数据
  1012. var moveAverageConf MoveAverageConf
  1013. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &moveAverageConf)
  1014. if tmpErr != nil {
  1015. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  1016. return
  1017. }
  1018. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleMoveAverageTb(predictEdbConf.PredictEdbInfoId, moveAverageConf.NValue, moveAverageConf.Year, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  1019. if err != nil {
  1020. return
  1021. }
  1022. case 13: //13:根据 同比增速差值 规则获取预测数据
  1023. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  1024. if tmpErr != nil {
  1025. err = tmpErr
  1026. return
  1027. }
  1028. tbEndValue, _ := tmpValDecimal.Float64()
  1029. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTbzscz(predictEdbConf.PredictEdbInfoId, tbEndValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  1030. case 14: //14:根据 一元线性拟合 规则获取预测数据
  1031. var ruleConf RuleLineNhConf
  1032. err = json.Unmarshal([]byte(predictEdbConf.Value), &ruleConf)
  1033. if err != nil {
  1034. err = errors.New("一元线性拟合规则配置信息异常:" + err.Error())
  1035. return
  1036. }
  1037. // 规则计算的拟合残差值map
  1038. newNhccDataMap := make(map[string]float64)
  1039. if predictEdbConf.PredictEdbInfoId > 0 { //已经生成的动态数据
  1040. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  1041. if tmpErr != nil {
  1042. err = tmpErr
  1043. return
  1044. }
  1045. for _, v := range tmpPredictEdbRuleDataList {
  1046. newNhccDataMap[v.DataTime] = v.Value
  1047. }
  1048. } else { //未生成的动态数据,需要使用外部传入的数据进行计算
  1049. newNhccDataMap, err, _ = getCalculateNhccData(append(realPredictEdbInfoData, predictEdbInfoData...), ruleConf)
  1050. }
  1051. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleLineNh(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, newNhccDataMap, existMap)
  1052. if err != nil {
  1053. return
  1054. }
  1055. 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;
  1056. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNAnnualAverage(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  1057. if err != nil {
  1058. return
  1059. }
  1060. case 16: //16:年度值倒推
  1061. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleAnnualValueInversion(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  1062. if err != nil {
  1063. return
  1064. }
  1065. }
  1066. // 下一个规则的开始日期
  1067. {
  1068. lenPredictEdbInfoData := len(predictEdbInfoData)
  1069. if lenPredictEdbInfoData > 0 {
  1070. tmpDataEndTime, _ := time.ParseInLocation(utils.FormatDate, predictEdbInfoData[lenPredictEdbInfoData-1].DataTime, time.Local)
  1071. if startDate.Before(tmpDataEndTime) {
  1072. startDate = tmpDataEndTime
  1073. }
  1074. }
  1075. }
  1076. if tmpMinValue < minValue {
  1077. minValue = tmpMinValue
  1078. }
  1079. if tmpMaxValue < maxValue {
  1080. maxValue = tmpMaxValue
  1081. }
  1082. }
  1083. return
  1084. }
  1085. // GetPredictEdbDayList 获取预测指标日期列表
  1086. // GetPredictEdbDayList 获取预测指标日期列表
  1087. func getPredictEdbDayList(startDate, endDate time.Time, frequency, dataDateType string) (dayList []time.Time) {
  1088. if dataDateType == `` {
  1089. dataDateType = `交易日`
  1090. }
  1091. switch frequency {
  1092. case "日度":
  1093. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 1) {
  1094. // 如果日期类型是交易日的时候,那么需要将周六、日排除
  1095. if dataDateType == `交易日` && (currDate.Weekday() == time.Sunday || currDate.Weekday() == time.Saturday) {
  1096. continue
  1097. }
  1098. dayList = append(dayList, currDate)
  1099. }
  1100. case "周度":
  1101. //nextDate := startDate.AddDate(0, 0, 7)
  1102. for currDate := startDate.AddDate(0, 0, 7); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 7) {
  1103. dayList = append(dayList, currDate)
  1104. }
  1105. case "旬度":
  1106. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); {
  1107. nextDate := currDate.AddDate(0, 0, 1)
  1108. //每个月的10号、20号、最后一天,那么就写入
  1109. if nextDate.Day() == 11 || nextDate.Day() == 21 || nextDate.Day() == 1 {
  1110. dayList = append(dayList, currDate)
  1111. }
  1112. currDate = nextDate
  1113. }
  1114. case "月度":
  1115. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  1116. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  1117. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  1118. dayList = append(dayList, currDate)
  1119. }
  1120. currDate = currDate.AddDate(0, 0, 1)
  1121. }
  1122. case "季度":
  1123. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  1124. // 每月的最后一天
  1125. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  1126. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  1127. // 季度日期就写入,否则不写入
  1128. if currDate.Month() == 3 || currDate.Month() == 6 || currDate.Month() == 9 || currDate.Month() == 12 {
  1129. dayList = append(dayList, currDate)
  1130. }
  1131. }
  1132. currDate = currDate.AddDate(0, 0, 1)
  1133. }
  1134. case "半年度":
  1135. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  1136. // 每月的最后一天
  1137. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  1138. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  1139. // 半年度日期就写入,否则不写入
  1140. if currDate.Month() == 6 || currDate.Month() == 12 {
  1141. dayList = append(dayList, currDate)
  1142. }
  1143. }
  1144. currDate = currDate.AddDate(0, 0, 1)
  1145. }
  1146. case "年度":
  1147. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  1148. currDate = time.Date(currDate.Year()+1, 12, 31, 0, 0, 0, 0, time.Now().Location())
  1149. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  1150. dayList = append(dayList, currDate)
  1151. }
  1152. }
  1153. }
  1154. return
  1155. }
  1156. // 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
  1157. func GetPredictDataListByPredictEdbInfo(edbInfo *EdbInfo, order int, startDate string) (dataList []*EdbInfoSearchData, sourceEdbInfoItem *EdbInfo, err error, errMsg string) {
  1158. // 查找该预测指标配置
  1159. predictEdbConfList, err := GetPredictEdbConfAndDataListById(edbInfo.EdbInfoId)
  1160. if err != nil && err.Error() != utils.ErrNoRow() {
  1161. errMsg = "获取预测指标配置信息失败"
  1162. return
  1163. }
  1164. if len(predictEdbConfList) == 0 {
  1165. errMsg = "获取预测指标配置信息失败"
  1166. err = errors.New(errMsg)
  1167. return
  1168. }
  1169. predictEdbConf := predictEdbConfList[0]
  1170. // 来源指标
  1171. sourceEdbInfoItem, err = GetEdbInfoById(predictEdbConf.SourceEdbInfoId)
  1172. if err != nil {
  1173. if err.Error() == utils.ErrNoRow() {
  1174. errMsg = "找不到来源指标信息"
  1175. err = errors.New(errMsg)
  1176. }
  1177. return
  1178. }
  1179. dataList, err, errMsg = GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem, predictEdbConfList, order, startDate)
  1180. return
  1181. }
  1182. // 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
  1183. func GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem *EdbInfo, predictEdbConfList []*PredictEdbConfAndData, order int, startDate string) (dataList []*EdbInfoSearchData, err error, errMsg string) {
  1184. allDataList := make([]*EdbInfoSearchData, 0)
  1185. //获取指标数据(实际已生成)
  1186. tmpDataList, err := GetEdbDataListAll(sourceEdbInfoItem.Source, sourceEdbInfoItem.SubSource, FindEdbDataListAllCond{
  1187. EdbInfoId: sourceEdbInfoItem.EdbInfoId,
  1188. StartDataTime: startDate,
  1189. StartDataTimeCond: ">=",
  1190. }, 1)
  1191. if err != nil {
  1192. return
  1193. }
  1194. // 默认认为上一个查询是把所有的数据查出来了
  1195. allDataList = tmpDataList
  1196. // 如果条件中有选择了日期,那么上次查询实际并不是把所有的数据查出来了
  1197. // 那么需要把日期给过滤掉,然后筛选所有的数据,用于未来指标的生成
  1198. if startDate != `` {
  1199. allDataList, err = GetEdbDataListAll(sourceEdbInfoItem.Source, sourceEdbInfoItem.SubSource, FindEdbDataListAllCond{
  1200. EdbInfoId: sourceEdbInfoItem.EdbInfoId,
  1201. }, 1)
  1202. if err != nil {
  1203. return
  1204. }
  1205. }
  1206. // 获取预测指标未来的数据
  1207. predictDataList := make([]*EdbInfoSearchData, 0)
  1208. endDateStr := edbInfo.EndDate //预测指标的结束日期
  1209. var predictMinValue, predictMaxValue float64
  1210. // 如果有配置的预测规则,那么就进行预测
  1211. if len(predictEdbConfList) > 0 {
  1212. predictDataList, predictMinValue, predictMaxValue, err = GetChartPredictEdbInfoDataListByConfList(predictEdbConfList, startDate, sourceEdbInfoItem.LatestDate, endDateStr, edbInfo.Frequency, edbInfo.DataDateType, allDataList)
  1213. if err != nil {
  1214. return
  1215. }
  1216. }
  1217. //order:1升序,其余值为降序
  1218. if order == 1 {
  1219. dataList = append(tmpDataList, predictDataList...)
  1220. } else {
  1221. // 先倒序预测数据
  1222. lenPredictDataList := len(predictDataList)
  1223. if lenPredictDataList > 0 {
  1224. for k := range predictDataList {
  1225. dataList = append(dataList, predictDataList[lenPredictDataList-k-1])
  1226. }
  1227. }
  1228. // 接着倒序实际指标
  1229. lenDataList := len(tmpDataList)
  1230. for k := range tmpDataList {
  1231. dataList = append(dataList, tmpDataList[lenDataList-k-1])
  1232. }
  1233. }
  1234. if len(predictDataList) > 0 {
  1235. // 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
  1236. if edbInfo.MinValue > predictMinValue {
  1237. edbInfo.MinValue = predictMinValue
  1238. }
  1239. // 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
  1240. if edbInfo.MaxValue < predictMaxValue {
  1241. edbInfo.MaxValue = predictMaxValue
  1242. }
  1243. }
  1244. return
  1245. }
  1246. // GetPredictEdbDataListAll 获取该预测指标所有的数据 ,order:1升序,其余值为降序
  1247. func GetPredictEdbDataListAll(edbInfo *EdbInfo, order int) (items []*EdbInfoSearchData, err error) {
  1248. 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
  1249. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, 1, "")
  1250. } else {
  1251. items, err = GetEdbDataListAll(edbInfo.Source, edbInfo.SubSource, FindEdbDataListAllCond{
  1252. EdbInfoId: edbInfo.EdbInfoId,
  1253. }, order)
  1254. }
  1255. return
  1256. }
  1257. // 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
  1258. func GetPredictEdbDataListAllByStartDate(edbInfo *EdbInfo, order int, startDate string) (items []*EdbInfoSearchData, err error) {
  1259. 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
  1260. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, order, startDate)
  1261. } else {
  1262. items, err = GetEdbDataListAll(edbInfo.Source, edbInfo.SubSource, FindEdbDataListAllCond{
  1263. EdbInfoId: edbInfo.EdbInfoId,
  1264. StartDataTime: startDate,
  1265. StartDataTimeCond: ">=",
  1266. }, order)
  1267. }
  1268. return
  1269. }
  1270. // ModifyPredictEdbInfoMaxAndMinInfo 修改预测指标的最新数据信息
  1271. func ModifyPredictEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  1272. 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=? `
  1273. err = global.DEFAULT_DmSQL.Exec(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.LatestDate, item.LatestValue, item.EndValue, edbInfoId).Error
  1274. return
  1275. }
  1276. // ModifyCalculateEdbInfo 修改计算指标信息
  1277. func ModifyCalculateEdbInfo(edbName, frequency, unit, calculateFormula string, classifyId, edbInfoId int) (err error) {
  1278. sql := ` UPDATE edb_info
  1279. SET
  1280. edb_name =?,
  1281. edb_name_source =?,
  1282. frequency = ?,
  1283. unit = ?,
  1284. classify_id = ?,
  1285. calculate_formula=?,
  1286. modify_time = NOW()
  1287. WHERE edb_info_id = ?`
  1288. err = global.DEFAULT_DmSQL.Exec(sql, edbName, edbName, frequency, unit, classifyId, calculateFormula, edbInfoId).Error
  1289. return
  1290. }
  1291. func GetEdbInfoItemByCondition(condition string, pars []interface{}) (item *EdbInfoList, err error) {
  1292. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  1293. if condition != "" {
  1294. sql += condition
  1295. }
  1296. err = global.DEFAULT_DmSQL.Raw(sql, pars...).First(&item).Error
  1297. if err != nil {
  1298. return
  1299. }
  1300. item.ConvertDate()
  1301. return
  1302. }
  1303. func GetEdbInfoItemListByCondition() (items []*EdbInfoList, err error) {
  1304. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  1305. err = global.DEFAULT_DmSQL.Raw(sql).Scan(&items).Error
  1306. return
  1307. }
  1308. // EdbInfoDetailReq 指标详情请求
  1309. type EdbInfoDetailReq struct {
  1310. UniqueCode string `description:"指标唯一编码"`
  1311. EdbCode string `description:"指标编码"`
  1312. }
  1313. // EdbInfoDetailResp 指标详情返回
  1314. type EdbInfoDetailResp struct {
  1315. SourceName string `description:"来源名称"`
  1316. EdbCode string `description:"指标编码"`
  1317. EdbName string `description:"指标名称"`
  1318. EdbNameSource string `description:"指标名称来源"`
  1319. Frequency string `description:"频率"`
  1320. Unit string `description:"单位"`
  1321. StartDate string `description:"起始日期"`
  1322. EndDate string `description:"终止日期"`
  1323. UniqueCode string `description:"指标唯一编码"`
  1324. CreateTime time.Time
  1325. ModifyTime time.Time
  1326. MinValue float64 `description:"指标最小值"`
  1327. MaxValue float64 `description:"指标最大值"`
  1328. EdbNameEn string `description:"英文指标名称"`
  1329. UnitEn string `description:"英文单位"`
  1330. LatestDate string `description:"数据最新日期"`
  1331. LatestValue float64 `description:"数据最新值"`
  1332. ChartImage string `description:"图表图片"`
  1333. DataList []*EdbInfoSearchData
  1334. }
  1335. type AddEdbInfoParams struct {
  1336. Source int `description:"来源id"`
  1337. EdbCode string `description:"指标编码"`
  1338. EdbName string `description:"指标名称"`
  1339. Frequency string `description:"频率"`
  1340. Unit string `description:"单位"`
  1341. ClassifyId int `description:"分类id"`
  1342. TerminalCode string `description:"终端编码"`
  1343. AdminId int `description:"创建人ID"`
  1344. AdminName string `description:"创建人姓名"`
  1345. }
  1346. // EdbInfoAdd 添加指标到指标库
  1347. func EdbInfoAdd(req *AddEdbInfoParams, serverUrl string, sysUserId int, sysUserRealName string) (edbInfo *EdbInfo, err error) {
  1348. source := req.Source
  1349. //判断指标名称是否存在
  1350. var condition string
  1351. var pars []interface{}
  1352. //condition += " AND source=? "
  1353. //pars = append(pars, source)
  1354. condition += " AND edb_code=? "
  1355. pars = append(pars, req.EdbCode)
  1356. items, err := GetEdbInfoByCondition(condition, pars, 0)
  1357. if err != nil {
  1358. err = errors.New("判断指标是否存在失败,Err:" + err.Error())
  1359. return
  1360. }
  1361. if len(items) > 0 {
  1362. sql := ` UPDATE edb_info SET classify_id=?,modify_time=NOW() WHERE edb_code=? `
  1363. err = global.DEFAULT_DmSQL.Exec(sql, req.ClassifyId, req.EdbCode).Error
  1364. if err != nil {
  1365. err = errors.New("更新指标分类信息失败,Err:" + err.Error())
  1366. return
  1367. }
  1368. edbInfo = items[0]
  1369. return
  1370. }
  1371. edbInfo = new(EdbInfo)
  1372. edbInfo.Source = source
  1373. sourceNameMap := map[int]string{
  1374. utils.DATA_SOURCE_THS: "同花顺",
  1375. utils.DATA_SOURCE_WIND: "wind",
  1376. utils.DATA_SOURCE_PB: "彭博",
  1377. utils.DATA_SOURCE_PB_FINANCE: "彭博财务",
  1378. utils.DATA_SOURCE_MANUAL: "手工数据",
  1379. utils.DATA_SOURCE_LZ: "隆众",
  1380. utils.DATA_SOURCE_YS: "SMM",
  1381. utils.DATA_SOURCE_GL: "钢联",
  1382. utils.DATA_SOURCE_ZZ: "郑商所",
  1383. utils.DATA_SOURCE_DL: "大商所",
  1384. utils.DATA_SOURCE_SH: "上期所",
  1385. utils.DATA_SOURCE_CFFEX: "中金所",
  1386. utils.DATA_SOURCE_SHFE: "上期能源",
  1387. utils.DATA_SOURCE_GIE: "欧洲天然气",
  1388. utils.DATA_SOURCE_LT: "路透",
  1389. utils.DATA_SOURCE_COAL: "中国煤炭市场网",
  1390. utils.DATA_SOURCE_GOOGLE_TRAVEL: "our world in data",
  1391. utils.DATA_SOURCE_MYSTEEL_CHEMICAL: "钢联化工",
  1392. utils.DATA_SOURCE_EIA_STEO: "EIA STEO报告",
  1393. utils.DATA_SOURCE_COM_TRADE: "UN",
  1394. utils.DATA_SOURCE_SCI: "SCI",
  1395. utils.DATA_SOURCE_BAIINFO: "BAIINFO",
  1396. utils.DATA_SOURCE_STOCK_PLANT: "存量装置",
  1397. utils.DATA_SOURCE_NATIONAL_STATISTICS: "国家统计局",
  1398. utils.DATA_SOURCE_FUBAO: "富宝数据",
  1399. }
  1400. sourceName, ok := sourceNameMap[source]
  1401. if !ok {
  1402. edbSource := GetEdbSourceBySourceId(source)
  1403. if edbSource != nil {
  1404. sourceName = edbSource.SourceName
  1405. }
  1406. if sourceName == "" {
  1407. err = errors.New("指标来源异常")
  1408. return
  1409. }
  1410. }
  1411. edbInfo.SourceName = sourceName
  1412. edbType := 1 //基础指标
  1413. if source == utils.DATA_SOURCE_STOCK_PLANT {
  1414. edbType = 2 //计算指标
  1415. }
  1416. var sourceIndexName string
  1417. // 钢联化工需要校验下信息是否完整
  1418. if source == utils.DATA_SOURCE_MYSTEEL_CHEMICAL {
  1419. indexObj := new(BaseFromMysteelChemicalIndex)
  1420. tmpItem, tmpErr := indexObj.GetIndexItem(req.EdbCode)
  1421. if tmpErr != nil {
  1422. err = tmpErr
  1423. return
  1424. }
  1425. if tmpItem == nil || tmpItem.IndexName == `` {
  1426. err = errors.New("指标信息不全")
  1427. return
  1428. }
  1429. // 兼容数据
  1430. {
  1431. if req.Frequency == `` {
  1432. req.Frequency = tmpItem.Frequency
  1433. }
  1434. if req.Unit == `` {
  1435. req.Unit = tmpItem.Unit
  1436. }
  1437. }
  1438. }
  1439. edbInfo.EdbCode = req.EdbCode
  1440. edbInfo.EdbName = req.EdbName
  1441. edbInfo.EdbNameSource = req.EdbName
  1442. edbInfo.EdbNameEn = req.EdbName
  1443. edbInfo.Frequency = req.Frequency
  1444. edbInfo.Unit = req.Unit
  1445. edbInfo.UnitEn = req.Unit
  1446. edbInfo.ClassifyId = req.ClassifyId
  1447. edbInfo.SysUserId = sysUserId
  1448. edbInfo.SysUserRealName = sysUserRealName
  1449. edbInfo.StartDate = "1990-01-01"
  1450. edbInfo.CreateTime = time.Now()
  1451. edbInfo.ModifyTime = time.Now()
  1452. edbInfo.ServerUrl = serverUrl
  1453. edbInfo.TerminalCode = req.TerminalCode
  1454. edbInfo.Sort = GetAddEdbMaxSortByClassifyId(req.ClassifyId, 0)
  1455. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1456. edbInfo.UniqueCode = utils.MD5(utils.DATA_PREFIX + "_" + req.EdbCode + timestamp)
  1457. itemVal, err := GetEdbInfoMaxAndMinInfo(source, utils.DATA_SUB_SOURCE_EDB, req.EdbCode)
  1458. if itemVal != nil && err == nil {
  1459. edbInfo.MaxValue = itemVal.MaxValue
  1460. edbInfo.MinValue = itemVal.MinValue
  1461. }
  1462. edbInfo.EdbType = edbType
  1463. edbInfo.SourceIndexName = sourceIndexName
  1464. edbInfoId, err := AddEdbInfo(edbInfo)
  1465. if err != nil {
  1466. err = errors.New("保存失败,Err:" + err.Error())
  1467. return
  1468. }
  1469. edbInfo.EdbInfoId = int(edbInfoId)
  1470. return
  1471. }
  1472. func ModifyEdbInfoBaseTimeById(edbInfoId int, cTime time.Time) (err error) {
  1473. // 更新修改时间
  1474. sql := ` UPDATE edb_info SET base_modify_time = ? WHERE edb_info_id = ? `
  1475. err = global.DEFAULT_DmSQL.Exec(sql, cTime, edbInfoId).Error
  1476. return
  1477. }
  1478. // EdbInfoRefreshCheckReq 指标数据更新情况查询
  1479. type EdbInfoRefreshCheckReq struct {
  1480. Source int `description:"来源id"`
  1481. LatestDate string `description:"数据最新日期"`
  1482. FrequencyBatch string `description:"更新频度"`
  1483. }
  1484. // EdbInfoRefreshCheckResp 指标数据更新情况查询
  1485. type EdbInfoRefreshCheckResp struct {
  1486. UpdateNum int `description:"已更新指标数"`
  1487. UnUpdateNum int `description:"未更新指标数"`
  1488. }
  1489. // ResetEdbClassifyReq 指标重新分类请求体
  1490. type ResetEdbClassifyReq struct {
  1491. IndexCode string `description:"指标编码"`
  1492. ClassifyFirst string `description:"一级分类名称"`
  1493. ClassifySecond string `description:"二级分类名称"`
  1494. ClassifyThird string `description:"三级分类名称"`
  1495. }
  1496. // GetEdbInfoMaxSortByClassifyId 获取分类下指标的最大的排序数
  1497. func GetEdbInfoMaxSortByClassifyId(classifyId int) (sort int, err error) {
  1498. sql := `SELECT Max(sort) AS sort FROM edb_info WHERE classify_id=? `
  1499. err = global.DEFAULT_DmSQL.Raw(sql, classifyId).Scan(&sort).Error
  1500. return
  1501. }
  1502. func GetEdbAndClassifyMaxSort(parentId int, classifyType uint8) (maxSort int, err error) {
  1503. //获取该层级下最大的排序数
  1504. classifyMaxSort, err := GetEdbClassifyMaxSort(parentId, classifyType)
  1505. if err != nil {
  1506. return
  1507. }
  1508. maxSort = classifyMaxSort
  1509. edbMaxSort, err := GetEdbInfoMaxSortByClassifyId(parentId)
  1510. if err != nil {
  1511. return
  1512. }
  1513. if maxSort < edbMaxSort {
  1514. maxSort = edbMaxSort
  1515. }
  1516. return
  1517. }
  1518. // CalculateEdbExtra 指标运算额外配置
  1519. type CalculateEdbExtra struct {
  1520. 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"`
  1521. }
  1522. // CalculateLjzEdbExtra 累计值额外配置
  1523. type CalculateLjzEdbExtra struct {
  1524. LastValType int `description:"最新值处理:0默认、均值填充"`
  1525. }
  1526. type EdbInfoEditRecord struct {
  1527. EdbInfoId int `description:"指标ID"`
  1528. EdbName string `description:"指标名称"`
  1529. Frequency string `description:"频率"`
  1530. Unit string `description:"单位"`
  1531. ClassifyId int `description:"分类id"`
  1532. CalculateFormula string `description:"计算公式"`
  1533. OperateUserId int `description:"操作人id"`
  1534. OperateUserRealName string `description:"操作人姓名"`
  1535. }
  1536. // GetEdbInfoByEdbCodeList
  1537. // @Description: 根据来源和指标编码列表获取指标信息列表
  1538. // @author: Roc
  1539. // @datetime 2024-05-31 16:31:52
  1540. // @param source int
  1541. // @param edbCodeList []string
  1542. // @return items []*EdbInfo
  1543. // @return err error
  1544. func GetEdbInfoByEdbCodeList(source int, edbCodeList []string) (items []*EdbInfo, err error) {
  1545. num := len(edbCodeList)
  1546. if num <= 0 {
  1547. return
  1548. }
  1549. sql := ` SELECT * FROM edb_info WHERE source=? AND edb_code IN (` + utils.GetOrmInReplace(num) + `) `
  1550. err = global.DEFAULT_DmSQL.Raw(sql, source, edbCodeList).Scan(&items).Error
  1551. return
  1552. }
  1553. // GetAddEdbMaxSortByClassifyId
  1554. // @Description: 获取添加指标时,该分类下最大的排序(忽略错误信息)
  1555. // @author: Roc
  1556. // @datetime 2024-07-05 09:39:46
  1557. // @param classifyId int
  1558. // @param classifyType uint8
  1559. // @return sort int
  1560. func GetAddEdbMaxSortByClassifyId(classifyId int, classifyType uint8) (sort int) {
  1561. sort, _ = GetEdbAndClassifyMaxSort(classifyId, classifyType)
  1562. sort = sort + 1
  1563. return
  1564. }
  1565. // EdbInfoExtra 指标额外数据-extra字段
  1566. type EdbInfoExtra struct {
  1567. ApiExtraPars string `description:"API-额外参数(如同花顺日期序列)"`
  1568. }
  1569. // GetEdbInfoNoUpdateTotalByIdList 根据指标id列表获取指标信息
  1570. func GetEdbInfoNoUpdateTotalByIdList(edbInfoIdList []int) (total int, err error) {
  1571. num := len(edbInfoIdList)
  1572. if num <= 0 {
  1573. return
  1574. }
  1575. sql := ` SELECT count(*) FROM edb_info WHERE edb_info_id in (` + utils.GetOrmInReplace(num) + `) and no_update=1`
  1576. err = global.DEFAULT_DmSQL.Raw(sql, edbInfoIdList).Scan(&total).Error
  1577. return
  1578. }
  1579. func TransEdbInfoSearchData2DataList(items []*EdbInfoSearchData) (list []*EdbDataList) {
  1580. if len(items) == 0 {
  1581. return
  1582. }
  1583. list = make([]*EdbDataList, 0)
  1584. for _, v := range items {
  1585. list = append(list, &EdbDataList{
  1586. EdbDataId: v.EdbDataId,
  1587. EdbInfoId: v.EdbInfoId,
  1588. DataTime: v.DataTime,
  1589. DataTimestamp: v.DataTimestamp,
  1590. Value: v.Value,
  1591. })
  1592. }
  1593. return
  1594. }
  1595. func TransEdbInfoDataList2SearchData(items []*EdbDataList) (list []*EdbInfoSearchData) {
  1596. if len(items) == 0 {
  1597. return
  1598. }
  1599. list = make([]*EdbInfoSearchData, 0)
  1600. for _, v := range items {
  1601. list = append(list, &EdbInfoSearchData{
  1602. EdbDataId: v.EdbDataId,
  1603. EdbInfoId: v.EdbInfoId,
  1604. DataTime: v.DataTime,
  1605. DataTimestamp: v.DataTimestamp,
  1606. Value: v.Value,
  1607. })
  1608. }
  1609. return
  1610. }
  1611. type SortEdbDataList []*EdbInfoSearchData
  1612. func (m SortEdbDataList) Len() int {
  1613. return len(m)
  1614. }
  1615. func (m SortEdbDataList) Less(i, j int) bool {
  1616. return m[i].DataTime > m[j].DataTime
  1617. }
  1618. func (m SortEdbDataList) Swap(i, j int) {
  1619. m[i], m[j] = m[j], m[i]
  1620. }