edb_info.go 71 KB

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  1. package models
  2. import (
  3. sql2 "database/sql"
  4. "encoding/json"
  5. "errors"
  6. "eta/eta_index_lib/global"
  7. "eta/eta_index_lib/models/mgo"
  8. "eta/eta_index_lib/utils"
  9. "fmt"
  10. "gorm.io/gorm"
  11. "strconv"
  12. "time"
  13. "go.mongodb.org/mongo-driver/bson"
  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. IsStaticData int `description:"是否是静态指标,0否,1是"`
  66. EndDateType int `description:"预测指标截止日期类型:0:未来日期,1未来期数"`
  67. }
  68. // 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
  69. func (m *EdbInfo) AfterFind(db *gorm.DB) (err error) {
  70. m.StartDate = utils.GormDateStrToDateStr(m.StartDate)
  71. m.EndDate = utils.GormDateStrToDateStr(m.EndDate)
  72. m.LatestDate = utils.GormDateStrToDateStr(m.LatestDate)
  73. m.ErDataUpdateDate = utils.GormDateStrToDateStr(m.ErDataUpdateDate)
  74. m.DataUpdateTime = utils.GormDateStrToDateTimeStr(m.DataUpdateTime)
  75. return
  76. }
  77. // ConvertDate
  78. // @Description: 格式化EdbInfo的日期
  79. // @receiver e
  80. func (e *EdbInfo) ConvertDate() {
  81. e.StartDate = utils.GormDateStrToDateStr(e.StartDate)
  82. e.EndDate = utils.GormDateStrToDateStr(e.EndDate)
  83. e.LatestDate = utils.GormDateStrToDateStr(e.LatestDate)
  84. e.DataUpdateTime = utils.GormDateStrToDateStr(e.DataUpdateTime)
  85. return
  86. }
  87. func (e *EdbInfo) Add() (err error) {
  88. err = global.DEFAULT_DB.Create(e).Error
  89. return
  90. }
  91. // AddEdbInfo 添加指标
  92. func AddEdbInfo(item *EdbInfo) (lastId int64, err error) {
  93. //o := orm.NewOrm()
  94. //lastId, err = o.Insert(item)
  95. err = global.DEFAULT_DB.Create(&item).Error
  96. if err != nil {
  97. return
  98. }
  99. lastId = int64(item.EdbInfoId)
  100. return
  101. }
  102. // EdbInfoList 指标数据列表
  103. type EdbInfoList struct {
  104. EdbInfoId int `gorm:"primaryKey;autoIncrement;column:edb_info_id" description:"唯一标识"`
  105. EdbInfoType int `gorm:"column:edb_info_type" description:"指标类型,0:普通指标,1:预测指标"`
  106. SourceName string `gorm:"column:source_name" description:"来源名称"`
  107. Source int `gorm:"column:source" description:"来源id"`
  108. EdbCode string `gorm:"column:edb_code" description:"指标编码"`
  109. EdbName string `gorm:"column:edb_name" description:"指标名称"`
  110. EdbNameEn string `gorm:"column:edb_name_en" description:"英文指标名称"`
  111. //EdbNameSource string `gorm:"column:edb_name_source" description:"指标名称来源"`
  112. Frequency string `gorm:"column:frequency" description:"频率"`
  113. Unit string `gorm:"column:unit" description:"单位"`
  114. UnitEn string `gorm:"column:unit_en" description:"英文单位"`
  115. StartDate string `gorm:"column:start_date" description:"起始日期"`
  116. EndDate string `gorm:"column:end_date" description:"终止日期"`
  117. ClassifyId int `gorm:"column:classify_id" description:"分类id"`
  118. SysUserId int `gorm:"column:sys_user_id" description:"系统用户ID"`
  119. SysUserRealName string `gorm:"column:sys_user_real_name" description:"系统用户真实姓名"`
  120. UniqueCode string `gorm:"column:unique_code" description:"指标唯一编码"`
  121. CreateTime string `gorm:"column:create_time" description:"创建时间"`
  122. ModifyTime string `gorm:"column:modify_time" description:"修改时间"`
  123. //BaseModifyTime time.Time `gorm:"column:base_modify_time" description:"基础修改时间"`
  124. //MinValue float64 `gorm:"column:min_value" description:"指标最小值"`
  125. /*MaxValue float64 `gorm:"column:max_value" description:"指标最大值"`
  126. CalculateFormula string `gorm:"column:calculate_formula" description:"计算公式"`*/
  127. EdbType int `gorm:"column:edb_type" description:"指标类型:1:基础指标,2:计算指标"`
  128. //IsUpdate int `gorm:"column:is_update" description:"当天是否已更新,1:未更新,2:已更新"`
  129. //Sort int `gorm:"column:sort" description:"排序字段"`
  130. LatestDate string `gorm:"column:latest_date" description:"数据最新日期(实际日期)"`
  131. LatestValue float64 `gorm:"column:latest_value" description:"数据最新值(实际值)"`
  132. EndValue float64 `gorm:"column:end_value" description:"数据的最新值(预测日期的最新值)"`
  133. //MoveType int `gorm:"column:move_type" description:"移动方式:1:领先(默认),2:滞后"`
  134. //MoveFrequency string `gorm:"column:move_frequency" description:"移动频度"`
  135. NoUpdate int8 `gorm:"column:no_update" description:"是否停止更新,0:继续更新;1:停止更新"`
  136. //ServerUrl string `gorm:"column:server_url" description:"服务器地址"`
  137. ChartImage string `gorm:"column:chart_image" description:"图表图片"`
  138. //Calendar string `gorm:"column:calendar;default:公历" description:"公历/农历"`
  139. EdbNameAlias string `json:"-" description:"指标名称,别名"`
  140. //RuleType int `description:"预测规则,1:最新,2:固定值"`
  141. //FixedValue float64 `description:"固定值"`
  142. 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)"`
  143. 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)"`
  144. DataDateType string `gorm:"column:data_date_type;size:255;default:交易日" description:"数据日期类型"`
  145. /*ManualSave int `gorm:"column:manual_save" description:"是否有手动保存过上下限: 0-否; 1-是"`
  146. TerminalCode string `gorm:"column:terminal_code" description:"终端编码,用于配置在机器上"`
  147. DataUpdateTime string `gorm:"column:data_update_time" description:"最近一次数据发生变化的时间"`
  148. ErDataUpdateDate string `gorm:"column:er_data_update_date" description:"本次更新,数据发生变化的最早日期"`
  149. SourceIndexName string `gorm:"column:source_index_name" description:"数据源中的指标名称"`*/
  150. SubSource int `gorm:"column:sub_source" description:"子数据来源:0:经济数据库,1:日期序列"`
  151. SubSourceName string `gorm:"column:sub_source_name" description:"子数据来源名称"`
  152. IndicatorCode string `gorm:"column:indicator_code" description:"指标代码"`
  153. StockCode string `gorm:"column:stock_code" description:"证券代码"`
  154. //Extra string `gorm:"column:extra" description:"指标的额外配置"`
  155. DataList []*EdbData `gorm:"-" description:"实际指标数据"`
  156. //PredictDataList []*EdbData `description:"预测指标数据"`
  157. //Button EdbClassifyItemsButton `description:"操作权限"`
  158. //IsEnEdb bool `description:"是否展示英文标识"`
  159. }
  160. // 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
  161. func (e *EdbInfoList) AfterFind(db *gorm.DB) (err error) {
  162. e.CreateTime = utils.GormDateStrToDateTimeStr(e.CreateTime)
  163. e.ModifyTime = utils.GormDateStrToDateTimeStr(e.ModifyTime)
  164. e.StartDate = utils.GormDateStrToDateStr(e.StartDate)
  165. e.EndDate = utils.GormDateStrToDateStr(e.EndDate)
  166. e.LatestDate = utils.GormDateStrToDateStr(e.LatestDate)
  167. return
  168. }
  169. // ConvertDate
  170. // @Description: 格式化EdbInfoList的日期
  171. // @receiver e
  172. func (e *EdbInfoList) ConvertDate() {
  173. e.CreateTime = utils.GormDateStrToDateTimeStr(e.CreateTime)
  174. e.ModifyTime = utils.GormDateStrToDateTimeStr(e.ModifyTime)
  175. e.StartDate = utils.GormDateStrToDateStr(e.StartDate)
  176. e.EndDate = utils.GormDateStrToDateStr(e.EndDate)
  177. e.LatestDate = utils.GormDateStrToDateStr(e.LatestDate)
  178. return
  179. }
  180. // EdbClassifyItemsButton 操作按钮
  181. type EdbClassifyItemsButton struct {
  182. AddButton bool `description:"是否可添加"`
  183. OpButton bool `description:"是否可编辑"`
  184. DeleteButton bool `description:"是否可删除"`
  185. MoveButton bool `description:"是否可移动"`
  186. ShowEdbRelation bool `description:"是否展示关联指标"`
  187. ShowChartRelation bool `description:"是否展示关联图表"`
  188. }
  189. // GetEdbInfoByName 根据指标名称获取所有的指标数据列表
  190. func GetEdbInfoByName(edbName string) (items []*EdbInfoList, err error) {
  191. sql := ` SELECT * FROM edb_info WHERE edb_name=? `
  192. err = global.DEFAULT_DB.Raw(sql, edbName).Find(&items).Error
  193. if err != nil {
  194. return
  195. }
  196. for _, edbInfoItem := range items {
  197. // 时间转格式
  198. edbInfoItem.ConvertDate()
  199. }
  200. return
  201. }
  202. // ModifyEdbInfoNameSource 根据来源修改指标名称
  203. func ModifyEdbInfoNameSource(edbNameSource string, edbInfoId int) (err error) {
  204. sql := ` UPDATE edb_info SET edb_name_source=? WHERE edb_info_id = ? `
  205. err = global.DEFAULT_DB.Exec(sql, edbNameSource, edbInfoId).Error
  206. return
  207. }
  208. // GetEdbInfoById 根据指标id获取指标信息
  209. func GetEdbInfoById(edbInfoId int) (item *EdbInfo, err error) {
  210. sql := ` SELECT * FROM edb_info WHERE edb_info_id = ? `
  211. err = global.DEFAULT_DB.Raw(sql, edbInfoId).First(&item).Error
  212. if err != nil {
  213. return
  214. }
  215. // 格式化日期
  216. item.ConvertDate()
  217. return
  218. }
  219. // GetEdbInfoByUniqueCode 根据指标唯一编码获取指标信息
  220. func GetEdbInfoByUniqueCode(uniqueCode string) (item *EdbInfo, err error) {
  221. sql := ` SELECT * FROM edb_info WHERE unique_code=? `
  222. err = global.DEFAULT_DB.Raw(sql, uniqueCode).First(&item).Error
  223. if err != nil {
  224. return
  225. }
  226. // 格式化日期
  227. item.ConvertDate()
  228. return
  229. }
  230. // GetEdbInfoByIdList 根据指标id列表获取指标信息
  231. func GetEdbInfoByIdList(edbInfoIdList []int) (items []*EdbInfo, err error) {
  232. num := len(edbInfoIdList)
  233. if num <= 0 {
  234. return
  235. }
  236. sql := ` SELECT * FROM edb_info WHERE edb_info_id in (` + utils.GetOrmInReplace(num) + `) `
  237. err = global.DEFAULT_DB.Raw(sql, edbInfoIdList).Find(&items).Error
  238. // 日期格式转换
  239. for _, v := range items {
  240. v.ConvertDate()
  241. }
  242. return
  243. }
  244. func GetEdbInfoListByIds(edbInfoIdList []int) (items []*EdbInfoList, err error) {
  245. num := len(edbInfoIdList)
  246. if num <= 0 {
  247. return
  248. }
  249. //o := orm.NewOrm()
  250. //sql := ` SELECT * FROM edb_info WHERE edb_info_id in (` + utils.GetOrmInReplace(num) + `) `
  251. //_, err = o.Raw(sql, edbInfoIdList).QueryRows(&items)
  252. sql := ` SELECT * FROM edb_info WHERE edb_info_id in ? `
  253. err = global.DEFAULT_DB.Raw(sql, edbInfoIdList).Find(&items).Error
  254. return
  255. }
  256. // Update 更新EdbInfo信息
  257. func (edbInfo *EdbInfo) Update(cols []string) (err error) {
  258. err = global.DEFAULT_DB.Model(edbInfo).Select(cols).Updates(edbInfo).Error
  259. return
  260. }
  261. // EdbInfoSearchData
  262. // @Description: 指标数据
  263. type EdbInfoSearchData struct {
  264. EdbDataId int `description:"数据ID"`
  265. EdbInfoId int `description:"指标ID"`
  266. DataTime string `description:"数据日期"`
  267. Value float64 `description:"数据"`
  268. EdbCode string `description:"指标编码"`
  269. DataTimestamp int64 `description:"时间戳"`
  270. }
  271. // 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
  272. func (m *EdbInfoSearchData) AfterFind(db *gorm.DB) (err error) {
  273. m.DataTime = utils.GormDateStrToDateStr(m.DataTime)
  274. return
  275. }
  276. // ConvertTimeStr
  277. // @Description: 转成需要输出的格式
  278. // @receiver m
  279. func (m *EdbInfoSearchData) ConvertTimeStr() {
  280. m.DataTime = utils.GormDateStrToDateStr(m.DataTime)
  281. return
  282. }
  283. type FindEdbDataListAllCond struct {
  284. EdbInfoId int
  285. StartDataTime string
  286. StartDataTimeCond string
  287. EndDataTime string
  288. EndDataTimeCond string
  289. }
  290. // GetEdbDataListAll
  291. // @Description: 获取指标数据列表 order:1升序,其余值为降序
  292. // @author: Roc
  293. // @datetime 2024-05-08 15:34:01
  294. // @param source int
  295. // @param subSource int
  296. // @param findEdbDataListAllCond FindEdbDataListAllCond
  297. // @param order int order:1升序,其余值为降序
  298. // @return item []*EdbInfoSearchData
  299. // @return err error
  300. func GetEdbDataListAll(source, subSource int, findEdbDataListAllCond FindEdbDataListAllCond, order int) (item []*EdbInfoSearchData, err error) {
  301. if source == utils.DATA_SOURCE_BUSINESS && utils.UseMongo {
  302. return GetEdbDataListAllByMongo(source, subSource, findEdbDataListAllCond, order)
  303. }
  304. return GetEdbDataListAllByMysql(source, subSource, findEdbDataListAllCond, order)
  305. }
  306. // GetEdbDataListAllByMysql
  307. // @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
  308. // @author: Roc
  309. // @datetime 2024-05-08 15:32:55
  310. // @param source int
  311. // @param subSource int
  312. // @param findEdbDataListAllCond FindEdbDataListAllCond
  313. // @param order int
  314. // @return items []*EdbInfoSearchData
  315. // @return err error
  316. func GetEdbDataListAllByMysql(source, subSource int, findEdbDataListAllCond FindEdbDataListAllCond, order int) (items []*EdbInfoSearchData, err error) {
  317. if findEdbDataListAllCond.EdbInfoId <= 0 {
  318. return
  319. }
  320. sql := ``
  321. tableName := GetEdbDataTableName(source, subSource)
  322. sql = ` SELECT * FROM %s WHERE 1=1 `
  323. sql = fmt.Sprintf(sql, tableName)
  324. var condition string
  325. var pars []interface{}
  326. condition += " AND edb_info_id=? "
  327. pars = append(pars, findEdbDataListAllCond.EdbInfoId)
  328. // 开始日期
  329. if findEdbDataListAllCond.StartDataTime != "" && findEdbDataListAllCond.StartDataTimeCond != `` {
  330. condition += fmt.Sprintf(" AND data_time %s ? ", findEdbDataListAllCond.StartDataTimeCond)
  331. pars = append(pars, findEdbDataListAllCond.StartDataTime)
  332. }
  333. // 结束日期
  334. if findEdbDataListAllCond.EndDataTime != "" && findEdbDataListAllCond.EndDataTimeCond != `` {
  335. condition += fmt.Sprintf(" AND data_time %s ? ", findEdbDataListAllCond.EndDataTimeCond)
  336. pars = append(pars, findEdbDataListAllCond.EndDataTime)
  337. }
  338. if condition != "" {
  339. sql += condition
  340. }
  341. if order == 1 {
  342. sql += ` ORDER BY data_time ASC `
  343. } else {
  344. sql += ` ORDER BY data_time DESC `
  345. }
  346. // todo
  347. err = global.DEFAULT_DB.Raw(sql, pars...).Find(&items).Error
  348. if err != nil {
  349. return
  350. }
  351. // 统一处理日期
  352. //for _, v := range items {
  353. // v.ConvertTimeStr()
  354. //}
  355. return
  356. }
  357. // GetEdbDataListAllByTo
  358. // @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
  359. // @author: Roc
  360. // @datetime 2024-05-08 15:34:06
  361. // @param to *gorm.DB
  362. // @param source int
  363. // @param subSource int
  364. // @param findEdbDataListAllCond FindEdbDataListAllCond
  365. // @param order int
  366. // @return item []*EdbInfoSearchData
  367. // @return err error
  368. func GetEdbDataListAllByTo(to *gorm.DB, source, subSource int, findEdbDataListAllCond FindEdbDataListAllCond, order int) (item []*EdbInfoSearchData, err error) {
  369. if source == utils.DATA_SOURCE_BUSINESS && utils.UseMongo {
  370. return GetEdbDataListAllByMongo(source, subSource, findEdbDataListAllCond, order)
  371. }
  372. return GetEdbDataListAllByMysqlTo(to, source, subSource, findEdbDataListAllCond, order)
  373. }
  374. // GetEdbDataListAllByMysqlTo
  375. // @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)
  376. // @author: Roc
  377. // @datetime 2024-05-08 15:34:13
  378. // @param to *gorm.DB
  379. // @param source int
  380. // @param subSource int
  381. // @param findEdbDataListAllCond FindEdbDataListAllCond
  382. // @param order int
  383. // @return items []*EdbInfoSearchData
  384. // @return err error
  385. func GetEdbDataListAllByMysqlTo(to *gorm.DB, source, subSource int, findEdbDataListAllCond FindEdbDataListAllCond, order int) (items []*EdbInfoSearchData, err error) {
  386. if findEdbDataListAllCond.EdbInfoId <= 0 {
  387. return
  388. }
  389. sql := ``
  390. tableName := GetEdbDataTableName(source, subSource)
  391. sql = ` SELECT * FROM %s WHERE 1=1 `
  392. sql = fmt.Sprintf(sql, tableName)
  393. var condition string
  394. var pars []interface{}
  395. condition += " AND edb_info_id=? "
  396. pars = append(pars, findEdbDataListAllCond.EdbInfoId)
  397. // 开始日期
  398. if findEdbDataListAllCond.StartDataTime != "" && findEdbDataListAllCond.StartDataTimeCond != `` {
  399. condition += fmt.Sprintf(" AND data_time %s ? ", findEdbDataListAllCond.StartDataTimeCond)
  400. pars = append(pars, findEdbDataListAllCond.StartDataTime)
  401. }
  402. // 结束日期
  403. if findEdbDataListAllCond.EndDataTime != "" && findEdbDataListAllCond.EndDataTimeCond != `` {
  404. condition += fmt.Sprintf(" AND data_time %s ? ", findEdbDataListAllCond.EndDataTimeCond)
  405. pars = append(pars, findEdbDataListAllCond.EndDataTime)
  406. }
  407. if condition != "" {
  408. sql += condition
  409. }
  410. if order == 1 {
  411. sql += ` ORDER BY data_time ASC `
  412. } else {
  413. sql += ` ORDER BY data_time DESC `
  414. }
  415. err = to.Raw(sql, pars...).Find(&items).Error
  416. if err != nil {
  417. return
  418. }
  419. // 统一处理日期
  420. //for _, v := range items {
  421. // v.ConvertTimeStr()
  422. //}
  423. return
  424. }
  425. // GetEdbDataListAllByMongo
  426. // @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)
  427. // @author: Roc
  428. // @datetime 2024-05-08 15:34:24
  429. // @param source int
  430. // @param subSource int
  431. // @param findEdbDataListAllCond FindEdbDataListAllCond
  432. // @param order int
  433. // @return dataList []*EdbInfoSearchData
  434. // @return err error
  435. func GetEdbDataListAllByMongo(source, subSource int, findEdbDataListAllCond FindEdbDataListAllCond, order int) (dataList []*EdbInfoSearchData, err error) {
  436. dataList = make([]*EdbInfoSearchData, 0)
  437. if findEdbDataListAllCond.EdbInfoId <= 0 {
  438. return
  439. }
  440. mogDataObj := mgo.EdbDataBusiness{}
  441. // 构建查询条件
  442. queryConditions := bson.M{
  443. "edb_info_id": findEdbDataListAllCond.EdbInfoId,
  444. }
  445. dateCondition, err := mgo.BuildDateCondition(findEdbDataListAllCond.StartDataTime, findEdbDataListAllCond.EndDataTime)
  446. if err != nil {
  447. return
  448. }
  449. if len(dateCondition) > 0 {
  450. queryConditions["data_time"] = dateCondition
  451. }
  452. sortList := make([]string, 0)
  453. if order == 1 {
  454. sortList = append(sortList, "data_time")
  455. } else {
  456. sortList = append(sortList, "-data_time")
  457. }
  458. // 获取列表数据
  459. tmpDataList, tmpErr := mogDataObj.GetAllDataList(queryConditions, sortList)
  460. if tmpErr != nil {
  461. err = tmpErr
  462. return
  463. }
  464. for k, v := range tmpDataList {
  465. dataList = append(dataList, &EdbInfoSearchData{
  466. EdbDataId: k + 1,
  467. EdbInfoId: v.EdbInfoId,
  468. EdbCode: v.EdbCode,
  469. DataTime: v.DataTime.Format(utils.FormatDate),
  470. Value: v.Value,
  471. DataTimestamp: v.DataTimestamp,
  472. })
  473. }
  474. return
  475. }
  476. // EdbInfoMaxAndMinInfo 指标最新数据记录结构体
  477. type EdbInfoMaxAndMinInfo struct {
  478. MinDate string `description:"最小日期" bson:"min_date"`
  479. MaxDate string `description:"最大日期" bson:"max_date"`
  480. MinValue float64 `description:"最小值" bson:"min_value"`
  481. MaxValue float64 `description:"最大值" bson:"max_value"`
  482. LatestValue float64 `gorm:"-" description:"最新值" bson:"latest_value"`
  483. LatestDate string `gorm:"-" description:"实际数据最新日期" bson:"latest_date"`
  484. EndValue float64 `description:"最新值" bson:"end_value"`
  485. IndexCode string `description:"指标编码" bson:"index_code"`
  486. }
  487. // 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
  488. func (m *EdbInfoMaxAndMinInfo) AfterFind(db *gorm.DB) (err error) {
  489. m.MinDate = utils.GormDateStrToDateStr(m.MinDate)
  490. m.MaxDate = utils.GormDateStrToDateStr(m.MaxDate)
  491. return
  492. }
  493. // EdbInfoMaxAndMinInfoTmp 指标最新数据记录结构体
  494. type EdbInfoMaxAndMinInfoTmp struct {
  495. MinDate time.Time `description:"最小日期" bson:"min_date"`
  496. MaxDate time.Time `description:"最大日期" bson:"max_date"`
  497. MinValue float64 `description:"最小值" bson:"min_value"`
  498. MaxValue float64 `description:"最大值" bson:"max_value"`
  499. LatestValue float64 `gorm:"-" description:"最新值" bson:"latest_value"`
  500. LatestDate time.Time `gorm:"-" description:"实际数据最新日期" bson:"latest_date"`
  501. EndValue float64 `description:"最新值" bson:"end_value"`
  502. }
  503. // GetEdbInfoMaxAndMinInfo 获取指标的最新数据记录信息
  504. func GetEdbInfoMaxAndMinInfo(source, subSource int, edbCode string) (item *EdbInfoMaxAndMinInfo, err error) {
  505. sql := ``
  506. tableName := GetEdbDataTableName(source, subSource)
  507. 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=? `
  508. sql = fmt.Sprintf(sql, tableName)
  509. err = global.DEFAULT_DB.Raw(sql, edbCode).First(&item).Error
  510. sql = ` SELECT value AS latest_value FROM %s WHERE edb_code=? ORDER BY data_time DESC LIMIT 1 `
  511. sql = fmt.Sprintf(sql, tableName)
  512. var latestValueNull sql2.NullFloat64
  513. err = global.DEFAULT_DB.Raw(sql, edbCode).Scan(&latestValueNull).Error
  514. if err == nil && latestValueNull.Valid {
  515. item.LatestValue = latestValueNull.Float64
  516. }
  517. return
  518. }
  519. type EdbIndoDataUpdateTime struct {
  520. MinDate string `description:"本次更新,数据发生变化的最早日期"`
  521. }
  522. // 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
  523. func (m *EdbIndoDataUpdateTime) AfterFind(db *gorm.DB) (err error) {
  524. m.MinDate = utils.GormDateStrToDateStr(m.MinDate)
  525. return
  526. }
  527. // GetEdbDataUpdateTimeByModify 获取指标的刷新时间获取最早的一条记录
  528. func GetEdbDataUpdateTimeByModify(source, subSource int, edbCode string, dataUpdateTime string) (item *EdbIndoDataUpdateTime, err error) {
  529. sql := ``
  530. tableName := GetEdbDataTableName(source, subSource)
  531. sql = ` SELECT MIN(data_time) AS min_date FROM %s WHERE edb_code=? and modify_time>=?`
  532. sql = fmt.Sprintf(sql, tableName)
  533. err = global.DEFAULT_DB.Raw(sql, edbCode, dataUpdateTime).First(&item).Error
  534. return
  535. }
  536. // ModifyEdbInfoMaxAndMinInfo 修改指标的最新数据信息
  537. func ModifyEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  538. 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=? `
  539. err = global.DEFAULT_DB.Exec(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.MaxDate, item.LatestValue, item.LatestValue, edbInfoId).Error
  540. return
  541. }
  542. // ModifyEdbTimeAndLastInfo 修改指标的最新数据信息(除上下限)
  543. func ModifyEdbTimeAndLastInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  544. 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 = ?`
  545. err = global.DEFAULT_DB.Exec(sql, item.MinDate, item.MaxDate, item.MaxDate, item.LatestValue, item.LatestValue, edbInfoId).Error
  546. return
  547. }
  548. // ModifyEdbDataUpdateTime 修改指标刷新,本次数据刷新的最早日期
  549. func ModifyEdbDataUpdateTime(edbInfoId int, dataUpdateTime, erDataUpdateDate string) (err error) {
  550. sql := `UPDATE edb_info SET data_update_time = ?, er_data_update_date = ?, modify_time = NOW() WHERE edb_info_id = ?`
  551. err = global.DEFAULT_DB.Exec(sql, dataUpdateTime, erDataUpdateDate, edbInfoId).Error
  552. return
  553. }
  554. // GetLteZeroEdbDataCount
  555. // @Description: 获取小于等于0的数据数量
  556. // @author: Roc
  557. // @datetime 2024-05-31 10:44:39
  558. // @param source int
  559. // @param subSource int
  560. // @param edbInfoId int
  561. // @return count int
  562. // @return err error
  563. func GetLteZeroEdbDataCount(source, subSource, edbInfoId int) (count int, err error) {
  564. if source == utils.DATA_SOURCE_BUSINESS && utils.UseMongo {
  565. return GetLteZeroEdbDataCountByMongo(source, subSource, edbInfoId)
  566. }
  567. return GetLteZeroEdbDataCountByMysql(source, subSource, edbInfoId)
  568. }
  569. // GetLteZeroEdbDataCountByMongo
  570. // @Description: 获取小于等于0的数据数量(从mongo)
  571. // @author: Roc
  572. // @datetime 2024-05-31 10:41:04
  573. // @param source int
  574. // @param subSource int
  575. // @param edbInfoId int
  576. // @return count int
  577. // @return err error
  578. func GetLteZeroEdbDataCountByMongo(source, subSource, edbInfoId int) (count int, err error) {
  579. mogDataObj := mgo.EdbDataBusiness{}
  580. // 构建查询条件
  581. whereQuery := bson.M{
  582. "edb_info_id": edbInfoId,
  583. "value": bson.M{"$lte": 0},
  584. }
  585. // 获数量数据
  586. tmpCount, err := mogDataObj.GetCountDataList(whereQuery)
  587. if err != nil {
  588. return
  589. }
  590. count = int(tmpCount)
  591. return
  592. }
  593. // GetLteZeroEdbDataCountByMysql
  594. // @Description: 获取小于等于0的数据数量(从mysql)
  595. // @author: Roc
  596. // @datetime 2024-05-31 10:29:19
  597. // @param source int
  598. // @param subSource int
  599. // @param edbInfoId int
  600. // @return count int
  601. // @return err error
  602. func GetLteZeroEdbDataCountByMysql(source, subSource, edbInfoId int) (count int, err error) {
  603. sql := ``
  604. tableName := GetEdbDataTableName(source, subSource)
  605. sql = ` SELECT COUNT(1) AS count FROM %s WHERE 1=1 AND edb_info_id =? AND value <=0 `
  606. sql = fmt.Sprintf(sql, tableName)
  607. err = global.DEFAULT_DB.Raw(sql, edbInfoId).Scan(&count).Error
  608. return
  609. }
  610. // GetLastEdbData 获取最近的一条指标数据
  611. func GetLastEdbData(condition string, pars []interface{}, source, subSource int) (item *EdbInfoSearchData, err error) {
  612. sql := ``
  613. tableName := GetEdbDataTableName(source, subSource)
  614. sql = ` SELECT * FROM %s WHERE 1=1 `
  615. sql = fmt.Sprintf(sql, tableName)
  616. if condition != "" {
  617. sql += condition
  618. }
  619. sql += ` ORDER BY data_time DESC `
  620. err = global.DEFAULT_DB.Raw(sql, pars...).First(&item).Error
  621. return
  622. }
  623. // GetEdbInfoByEdbCode 根据指标code获取指标信息
  624. func GetEdbInfoByEdbCode(source int, edbCode string) (item *EdbInfo, err error) {
  625. sql := ` SELECT * FROM edb_info WHERE source=? AND edb_code=? `
  626. err = global.DEFAULT_DB.Raw(sql, source, edbCode).First(&item).Error
  627. if utils.IsErrNoRow(err) {
  628. err = nil
  629. } else {
  630. // 格式化日期
  631. item.ConvertDate()
  632. }
  633. return
  634. }
  635. // GetEdbInfoOnlyByEdbCode 仅根据指标code获取指标信息
  636. func GetEdbInfoOnlyByEdbCode(edbCode string) (item *EdbInfo, err error) {
  637. sql := ` SELECT * FROM edb_info WHERE edb_code=? `
  638. err = global.DEFAULT_DB.Raw(sql, edbCode).First(&item).Error
  639. if err != nil {
  640. return
  641. }
  642. // 格式化日期
  643. item.ConvertDate()
  644. return
  645. }
  646. // GetEdbInfoCalculateListByCondition 获取指标关系列表
  647. func GetEdbInfoCalculateListByCondition(condition string, pars []interface{}) (items []*EdbInfoCalculateMapping, err error) {
  648. sql := ` SELECT * FROM edb_info_calculate_mapping WHERE 1=1 `
  649. if condition != "" {
  650. sql += condition
  651. }
  652. err = global.DEFAULT_DB.Raw(sql, pars...).Find(&items).Error
  653. return
  654. }
  655. // GetEdbInfoCalculateCountByCondition 获取关联指标数量
  656. func GetEdbInfoCalculateCountByCondition(condition string, pars []interface{}) (count int, err error) {
  657. sql := ` SELECT COUNT(1) AS count FROM edb_info_calculate_mapping WHERE 1=1 `
  658. if condition != "" {
  659. sql += condition
  660. }
  661. err = global.DEFAULT_DB.Raw(sql, pars...).Scan(&count).Error
  662. return
  663. }
  664. // 优化版本-处理数据精度问题
  665. type EdbInfoSearchDataV1 struct {
  666. EdbDataId int `description:"数据ID"`
  667. DataTime string `description:"数据日期"`
  668. Value string `description:"数据"`
  669. }
  670. // 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
  671. func (m *EdbInfoSearchDataV1) AfterFind(db *gorm.DB) (err error) {
  672. m.DataTime = utils.GormDateStrToDateStr(m.DataTime)
  673. return
  674. }
  675. // GetEdbDataListAllV1ByTo 通过事务链接获取数据列表
  676. func GetEdbDataListAllV1ByTo(to *gorm.DB, condition string, pars []interface{}, source, subSource, order int) (items []*EdbInfoSearchDataV1, err error) {
  677. sql := ``
  678. tableName := GetEdbDataTableName(source, subSource)
  679. sql = ` SELECT * FROM %s WHERE 1=1 `
  680. sql = fmt.Sprintf(sql, tableName)
  681. if condition != "" {
  682. sql += condition
  683. }
  684. if order == 1 {
  685. sql += ` ORDER BY data_time ASC `
  686. } else {
  687. sql += ` ORDER BY data_time DESC `
  688. }
  689. err = to.Raw(sql, pars...).Find(&items).Error
  690. if err != nil {
  691. return
  692. }
  693. // 日期格式化
  694. for _, item := range items {
  695. item.ConvertDate()
  696. }
  697. return
  698. }
  699. // GetEdbInfoByCondition 获取指标列表
  700. func GetEdbInfoByCondition(condition string, pars []interface{}, order int) (item []*EdbInfo, err error) {
  701. //o := orm.NewOrm()
  702. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  703. if condition != "" {
  704. sql += condition
  705. }
  706. if order == 1 {
  707. sql += ` ORDER BY end_date ASC `
  708. } else {
  709. sql += ` ORDER BY edb_info_id ASC `
  710. }
  711. //_, err = o.Raw(sql, pars).QueryRows(&item)
  712. err = global.DEFAULT_DB.Raw(sql, pars...).Find(&item).Error
  713. return
  714. }
  715. // UnifiedModifyEdbInfoMaxAndMinInfo 统一修改指标的最大最小值
  716. func UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo *EdbInfo) (err error, errMsg string) {
  717. // 修改最大最小值
  718. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode)
  719. if err != nil {
  720. if err.Error() == utils.ErrNoRow() {
  721. err = nil
  722. return
  723. }
  724. errMsg = "刷新指标失败!"
  725. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  726. return
  727. }
  728. if maxAndMinItem != nil {
  729. // 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
  730. if edbInfo.ManualSave == 1 {
  731. err = ModifyEdbTimeAndLastInfo(edbInfo.EdbInfoId, maxAndMinItem)
  732. if err != nil {
  733. errMsg = "刷新指标失败!"
  734. err = errors.New("修改指标最新日期和数据失败,err:" + err.Error())
  735. return
  736. }
  737. } else {
  738. err = ModifyEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  739. if err != nil {
  740. errMsg = "刷新指标失败!"
  741. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  742. return
  743. }
  744. }
  745. }
  746. // 刷新关联的预测指标
  747. go RefreshPredictStandardBaseByGeneralEdbInfoId(edbInfo.EdbInfoId)
  748. return
  749. }
  750. // UnifiedModifyEdbInfoMaxAndMinInfoDataUpdate 统一修改指标的最大最小值以及数据更新时间点
  751. func UnifiedModifyEdbInfoMaxAndMinInfoDataUpdate(edbInfo *EdbInfo, dataUpdateTime string) (erDataUpdateDate string, err error, errMsg string) {
  752. err, errMsg = UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo)
  753. if err != nil {
  754. return
  755. }
  756. // 获取本次刷新,指标数据更新的最早日期
  757. erDataUpdateTime, tErr := GetEdbDataUpdateTimeByModify(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode, dataUpdateTime)
  758. if tErr != nil {
  759. if tErr.Error() != utils.ErrNoRow() { //本次刷新指标数据无变化
  760. errMsg = "刷新指标失败!"
  761. err = errors.New("查询指标刷新,数据更新的最早日期失败,err:" + tErr.Error())
  762. return
  763. }
  764. } else if erDataUpdateTime.MinDate != "" {
  765. err = ModifyEdbDataUpdateTime(edbInfo.EdbInfoId, dataUpdateTime, erDataUpdateTime.MinDate)
  766. if err != nil {
  767. errMsg = "刷新指标失败!"
  768. err = errors.New("修改指标数据更新的最早日期失败,err:" + tErr.Error())
  769. return
  770. }
  771. erDataUpdateDate = erDataUpdateTime.MinDate
  772. }
  773. return
  774. }
  775. // UnifiedModifyPredictEdbInfoMaxAndMinInfo 统一修改预测运算指标的最大最小值
  776. func UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo *EdbInfo, latestDateStr string, latestValue float64) (err error, errMsg string) {
  777. // 修改最大最小值
  778. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode)
  779. if err != nil {
  780. if err.Error() == utils.ErrNoRow() {
  781. err = nil
  782. return
  783. }
  784. errMsg = "刷新指标失败!"
  785. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  786. return
  787. }
  788. // 最晚的日期的值
  789. maxAndMinItem.EndValue = maxAndMinItem.LatestValue
  790. if maxAndMinItem != nil {
  791. maxAndMinItem.LatestDate = latestDateStr
  792. maxAndMinItem.LatestValue = latestValue
  793. err = ModifyPredictEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  794. if err != nil {
  795. errMsg = "刷新指标失败!"
  796. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  797. return
  798. }
  799. }
  800. return
  801. }
  802. // GetChartPredictEdbInfoDataListByConfList 获取图表的预测指标的未来数据
  803. func GetChartPredictEdbInfoDataListByConfList(predictEdbConfList []*PredictEdbConfAndData, filtrateStartDateStr, latestDateStr, endDateStr, frequency, dataDateType string, endDateType int, realPredictEdbInfoData []*EdbInfoSearchData) (predictEdbInfoData []*EdbInfoSearchData, minValue, maxValue float64, err error) {
  804. hasEndNum := 0 //如果选择了未来期数,用来保存已经预测过的期数
  805. var endDate time.Time
  806. if endDateStr != `` {
  807. endDate, err = time.ParseInLocation(utils.FormatDate, endDateStr, time.Local)
  808. if err != nil {
  809. return
  810. }
  811. }
  812. latestDate, err := time.ParseInLocation(utils.FormatDate, latestDateStr, time.Local)
  813. if err != nil {
  814. return
  815. }
  816. // 开始预测数据的时间
  817. startDate := latestDate
  818. // 如果有筛选时间的话
  819. if filtrateStartDateStr != `` {
  820. filtrateStartDate, tmpErr := time.ParseInLocation(utils.FormatDate, filtrateStartDateStr, time.Local)
  821. if tmpErr != nil {
  822. err = tmpErr
  823. return
  824. }
  825. //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
  826. if filtrateStartDate.After(latestDate) {
  827. startDate = filtrateStartDate.AddDate(0, 0, -1)
  828. }
  829. }
  830. //var dateArr []string
  831. // 对应日期的值
  832. existMap := make(map[string]float64)
  833. for _, v := range realPredictEdbInfoData {
  834. //dateArr = append(dateArr, v.DataTime)
  835. existMap[v.DataTime] = v.Value
  836. }
  837. predictEdbInfoData = make([]*EdbInfoSearchData, 0)
  838. //dataValue := lastDataValue
  839. //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
  840. for _, predictEdbConf := range predictEdbConfList {
  841. //dataEndTime := endDate
  842. //if predictEdbConf.EndDate.Before(dataEndTime) {
  843. // dataEndTime = predictEdbConf.EndDate
  844. //}
  845. //endDate = predictEdbConf.EndDate
  846. var tmpMinValue, tmpMaxValue float64 // 当前预测结果中的最大/最小值
  847. endNum := predictEdbConf.EndNum - hasEndNum
  848. dayList := getPredictEdbDayList(startDate, predictEdbConf.EndDate, frequency, dataDateType, endDateType, endNum)
  849. 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
  850. continue
  851. }
  852. endDate = dayList[len(dayList)-1]
  853. switch predictEdbConf.RuleType {
  854. case 1: //1:最新
  855. var lastDataValue float64 //最新值
  856. tmpAllData := make([]*EdbInfoSearchData, 0)
  857. tmpAllData = append(tmpAllData, realPredictEdbInfoData...)
  858. tmpAllData = append(tmpAllData, predictEdbInfoData...)
  859. lenTmpAllData := len(tmpAllData)
  860. if lenTmpAllData > 0 {
  861. lastDataValue = tmpAllData[lenTmpAllData-1].Value
  862. }
  863. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, lastDataValue, dayList, predictEdbInfoData, existMap)
  864. tmpMaxValue = lastDataValue
  865. tmpMinValue = lastDataValue
  866. case 2: //2:固定值
  867. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  868. if tmpErr != nil {
  869. err = tmpErr
  870. return
  871. }
  872. dataValue, _ := tmpValDecimal.Float64()
  873. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, dataValue, dayList, predictEdbInfoData, existMap)
  874. tmpMaxValue = dataValue
  875. tmpMinValue = dataValue
  876. case 3: //3:同比
  877. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  878. if tmpErr != nil {
  879. err = tmpErr
  880. return
  881. }
  882. tbValue, _ := tmpValDecimal.Float64()
  883. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTb(predictEdbConf.PredictEdbInfoId, tbValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  884. case 4: //4:同差
  885. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  886. if tmpErr != nil {
  887. err = tmpErr
  888. return
  889. }
  890. tcValue, _ := tmpValDecimal.Float64()
  891. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTc(predictEdbConf.PredictEdbInfoId, tcValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  892. case 5: //5:环比
  893. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  894. if tmpErr != nil {
  895. err = tmpErr
  896. return
  897. }
  898. hbValue, _ := tmpValDecimal.Float64()
  899. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHb(predictEdbConf.PredictEdbInfoId, hbValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  900. case 6: //6:环差
  901. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  902. if tmpErr != nil {
  903. err = tmpErr
  904. return
  905. }
  906. hcValue, _ := tmpValDecimal.Float64()
  907. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHc(predictEdbConf.PredictEdbInfoId, hcValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  908. case 7: //7:N期移动均值
  909. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  910. if tmpErr != nil {
  911. err = tmpErr
  912. return
  913. }
  914. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleNMoveMeanValue(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  915. case 8: //8:N期段线性外推值
  916. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  917. if tmpErr != nil {
  918. err = tmpErr
  919. return
  920. }
  921. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNLinearRegression(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  922. if err != nil {
  923. return
  924. }
  925. case 9: //9:动态环差”预测规则;
  926. hcDataMap := make(map[string]float64) //规则计算的环差值map
  927. if predictEdbConf.PredictEdbInfoId > 0 {
  928. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  929. if tmpErr != nil {
  930. err = tmpErr
  931. return
  932. }
  933. for _, v := range tmpPredictEdbRuleDataList {
  934. hcDataMap[v.DataTime] = v.Value
  935. }
  936. } else {
  937. if len(predictEdbConf.DataList) <= 0 {
  938. return
  939. }
  940. for _, v := range predictEdbConf.DataList {
  941. currentDate, tmpErr := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
  942. if tmpErr != nil {
  943. continue
  944. }
  945. // 只处理时间段内的数据
  946. if currentDate.Before(startDate) || currentDate.After(endDate) {
  947. continue
  948. }
  949. hcDataMap[v.DataTime] = v.Value
  950. }
  951. }
  952. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTrendsHC(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, hcDataMap, existMap)
  953. case 10: //10:根据 给定终值后插值 规则获取预测数据
  954. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  955. if tmpErr != nil {
  956. err = tmpErr
  957. return
  958. }
  959. finalValue, _ := tmpValDecimal.Float64()
  960. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleFinalValueHc(predictEdbConf.PredictEdbInfoId, finalValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  961. case 11: //11:根据 季节性 规则获取预测数据
  962. var seasonConf SeasonConf
  963. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &seasonConf)
  964. if tmpErr != nil {
  965. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  966. return
  967. }
  968. calendar := "公历"
  969. if seasonConf.Calendar == "农历" {
  970. calendar = "农历"
  971. }
  972. yearList := make([]int, 0)
  973. //选择方式,1:连续N年;2:指定年份
  974. if seasonConf.YearType == 1 {
  975. if seasonConf.NValue < 1 {
  976. err = errors.New("连续N年不允许小于1")
  977. return
  978. }
  979. currYear := time.Now().Year()
  980. for i := 0; i < seasonConf.NValue; i++ {
  981. yearList = append(yearList, currYear-i-1)
  982. }
  983. } else {
  984. yearList = seasonConf.YearList
  985. }
  986. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleSeason(predictEdbConf.PredictEdbInfoId, yearList, calendar, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  987. if err != nil {
  988. return
  989. }
  990. case 12: //12:根据 移动平均同比 规则获取预测数据
  991. var moveAverageConf MoveAverageConf
  992. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &moveAverageConf)
  993. if tmpErr != nil {
  994. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  995. return
  996. }
  997. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleMoveAverageTb(predictEdbConf.PredictEdbInfoId, moveAverageConf.NValue, moveAverageConf.Year, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  998. if err != nil {
  999. return
  1000. }
  1001. case 13: //13:根据 同比增速差值 规则获取预测数据
  1002. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  1003. if tmpErr != nil {
  1004. err = tmpErr
  1005. return
  1006. }
  1007. tbEndValue, _ := tmpValDecimal.Float64()
  1008. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTbzscz(predictEdbConf.PredictEdbInfoId, tbEndValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  1009. case 14: //14:根据 一元线性拟合 规则获取预测数据
  1010. var ruleConf RuleLineNhConf
  1011. err = json.Unmarshal([]byte(predictEdbConf.Value), &ruleConf)
  1012. if err != nil {
  1013. err = errors.New("一元线性拟合规则配置信息异常:" + err.Error())
  1014. return
  1015. }
  1016. // 规则计算的拟合残差值map
  1017. newNhccDataMap := make(map[string]float64)
  1018. if predictEdbConf.PredictEdbInfoId > 0 { //已经生成的动态数据
  1019. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  1020. if tmpErr != nil {
  1021. err = tmpErr
  1022. return
  1023. }
  1024. for _, v := range tmpPredictEdbRuleDataList {
  1025. newNhccDataMap[v.DataTime] = v.Value
  1026. }
  1027. } else { //未生成的动态数据,需要使用外部传入的数据进行计算
  1028. newNhccDataMap, err, _ = getCalculateNhccData(append(realPredictEdbInfoData, predictEdbInfoData...), ruleConf)
  1029. }
  1030. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleLineNh(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, newNhccDataMap, existMap)
  1031. if err != nil {
  1032. return
  1033. }
  1034. 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;
  1035. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNAnnualAverage(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  1036. if err != nil {
  1037. return
  1038. }
  1039. case 16: //16:年度值倒推
  1040. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleAnnualValueInversion(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  1041. if err != nil {
  1042. return
  1043. }
  1044. }
  1045. // 下一个规则的开始日期
  1046. {
  1047. lenPredictEdbInfoData := len(predictEdbInfoData)
  1048. if lenPredictEdbInfoData > 0 {
  1049. if endDateType == 1 {
  1050. hasEndNum = predictEdbConf.EndNum
  1051. }
  1052. tmpDataEndTime, _ := time.ParseInLocation(utils.FormatDate, predictEdbInfoData[lenPredictEdbInfoData-1].DataTime, time.Local)
  1053. if startDate.Before(tmpDataEndTime) {
  1054. startDate = tmpDataEndTime
  1055. }
  1056. }
  1057. }
  1058. if tmpMinValue < minValue {
  1059. minValue = tmpMinValue
  1060. }
  1061. if tmpMaxValue < maxValue {
  1062. maxValue = tmpMaxValue
  1063. }
  1064. }
  1065. return
  1066. }
  1067. // GetPredictEdbDayList 获取预测指标日期列表
  1068. // GetPredictEdbDayList 获取预测指标日期列表
  1069. func getPredictEdbDayList(startDate, endDate time.Time, frequency, dataDateType string, endDateType, endNum int) (dayList []time.Time) {
  1070. if dataDateType == `` {
  1071. dataDateType = `交易日`
  1072. }
  1073. if endDateType == 0 { // 截止日期
  1074. switch frequency {
  1075. case "日度":
  1076. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 1) {
  1077. // 如果日期类型是交易日的时候,那么需要将周六、日排除
  1078. if dataDateType == `交易日` && (currDate.Weekday() == time.Sunday || currDate.Weekday() == time.Saturday) {
  1079. continue
  1080. }
  1081. dayList = append(dayList, currDate)
  1082. }
  1083. case "周度":
  1084. //nextDate := startDate.AddDate(0, 0, 7)
  1085. for currDate := startDate.AddDate(0, 0, 7); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 7) {
  1086. dayList = append(dayList, currDate)
  1087. }
  1088. case "旬度":
  1089. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); {
  1090. nextDate := currDate.AddDate(0, 0, 1)
  1091. //每个月的10号、20号、最后一天,那么就写入
  1092. if nextDate.Day() == 11 || nextDate.Day() == 21 || nextDate.Day() == 1 {
  1093. dayList = append(dayList, currDate)
  1094. }
  1095. currDate = nextDate
  1096. }
  1097. case "月度":
  1098. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  1099. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  1100. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  1101. dayList = append(dayList, currDate)
  1102. }
  1103. currDate = currDate.AddDate(0, 0, 1)
  1104. }
  1105. case "季度":
  1106. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  1107. // 每月的最后一天
  1108. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  1109. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  1110. // 季度日期就写入,否则不写入
  1111. if currDate.Month() == 3 || currDate.Month() == 6 || currDate.Month() == 9 || currDate.Month() == 12 {
  1112. dayList = append(dayList, currDate)
  1113. }
  1114. }
  1115. currDate = currDate.AddDate(0, 0, 1)
  1116. }
  1117. case "半年度":
  1118. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  1119. // 每月的最后一天
  1120. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  1121. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  1122. // 半年度日期就写入,否则不写入
  1123. if currDate.Month() == 6 || currDate.Month() == 12 {
  1124. dayList = append(dayList, currDate)
  1125. }
  1126. }
  1127. currDate = currDate.AddDate(0, 0, 1)
  1128. }
  1129. case "年度":
  1130. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  1131. currDate = time.Date(currDate.Year()+1, 12, 31, 0, 0, 0, 0, time.Now().Location())
  1132. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  1133. dayList = append(dayList, currDate)
  1134. }
  1135. }
  1136. }
  1137. } else { // 截止期数
  1138. switch frequency {
  1139. case "日度":
  1140. for i := 1; i <= endNum; i++ {
  1141. currDate := startDate.AddDate(0, 0, i)
  1142. // 如果日期类型是交易日的时候,那么需要将周六、日排除
  1143. if dataDateType == `交易日` && (currDate.Weekday() == time.Sunday || currDate.Weekday() == time.Saturday) {
  1144. continue
  1145. }
  1146. dayList = append(dayList, currDate)
  1147. }
  1148. case "周度":
  1149. for i := 1; i <= endNum; i++ {
  1150. currDate := startDate.AddDate(0, 0, i*7)
  1151. dayList = append(dayList, currDate)
  1152. }
  1153. case "旬度":
  1154. currDate := startDate
  1155. for i := 1; len(dayList) < endNum; i++ {
  1156. currDate = currDate.AddDate(0, 0, 1)
  1157. nextDate := currDate.AddDate(0, 0, 1)
  1158. //每个月的10号、20号、最后一天,那么就写入
  1159. if nextDate.Day() == 11 || nextDate.Day() == 21 || nextDate.Day() == 1 {
  1160. dayList = append(dayList, currDate)
  1161. }
  1162. }
  1163. case "月度":
  1164. currDate := startDate
  1165. for i := 0; i <= endNum; i++ {
  1166. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  1167. if !currDate.Equal(startDate) {
  1168. dayList = append(dayList, currDate)
  1169. }
  1170. currDate = currDate.AddDate(0, 0, 1)
  1171. }
  1172. case "季度":
  1173. currDate := startDate
  1174. endNum = endNum * 3
  1175. for i := 0; i <= endNum; i++ {
  1176. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  1177. if currDate.After(startDate) {
  1178. // 季度日期就写入,否则不写入
  1179. if currDate.Month() == 3 || currDate.Month() == 6 || currDate.Month() == 9 || currDate.Month() == 12 {
  1180. dayList = append(dayList, currDate)
  1181. }
  1182. }
  1183. currDate = currDate.AddDate(0, 0, 1)
  1184. }
  1185. case "半年度":
  1186. currDate := startDate
  1187. endNum = endNum * 6
  1188. for i := 0; i <= endNum; i++ {
  1189. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  1190. if currDate.After(startDate) {
  1191. // 季度日期就写入,否则不写入
  1192. if currDate.Month() == 6 || currDate.Month() == 12 {
  1193. dayList = append(dayList, currDate)
  1194. }
  1195. }
  1196. currDate = currDate.AddDate(0, 0, 1)
  1197. }
  1198. case "年度":
  1199. for i := 1; i <= endNum; i++ {
  1200. currDate := startDate.AddDate(i, 0, 0)
  1201. currDate, _ = time.ParseInLocation(utils.FormatDate, fmt.Sprintf(`%d-12-31`, currDate.Year()), time.Local)
  1202. dayList = append(dayList, currDate)
  1203. }
  1204. }
  1205. }
  1206. return
  1207. }
  1208. // 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
  1209. func GetPredictDataListByPredictEdbInfo(edbInfo *EdbInfo, order int, startDate string) (dataList []*EdbInfoSearchData, sourceEdbInfoItem *EdbInfo, err error, errMsg string) {
  1210. // 查找该预测指标配置
  1211. predictEdbConfList, err := GetPredictEdbConfAndDataListById(edbInfo.EdbInfoId)
  1212. if err != nil && !utils.IsErrNoRow(err) {
  1213. errMsg = "获取预测指标配置信息失败"
  1214. return
  1215. }
  1216. if len(predictEdbConfList) == 0 {
  1217. errMsg = "获取预测指标配置信息失败"
  1218. err = errors.New(errMsg)
  1219. return
  1220. }
  1221. predictEdbConf := predictEdbConfList[0]
  1222. // 来源指标
  1223. sourceEdbInfoItem, err = GetEdbInfoById(predictEdbConf.SourceEdbInfoId)
  1224. if err != nil {
  1225. if err.Error() == utils.ErrNoRow() {
  1226. errMsg = "找不到来源指标信息"
  1227. err = errors.New(errMsg)
  1228. }
  1229. return
  1230. }
  1231. dataList, err, errMsg = GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem, predictEdbConfList, order, startDate)
  1232. return
  1233. }
  1234. // 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
  1235. func GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem *EdbInfo, predictEdbConfList []*PredictEdbConfAndData, order int, startDate string) (dataList []*EdbInfoSearchData, err error, errMsg string) {
  1236. allDataList := make([]*EdbInfoSearchData, 0)
  1237. //获取指标数据(实际已生成)
  1238. tmpDataList, err := GetEdbDataListAll(sourceEdbInfoItem.Source, sourceEdbInfoItem.SubSource, FindEdbDataListAllCond{
  1239. EdbInfoId: sourceEdbInfoItem.EdbInfoId,
  1240. StartDataTime: startDate,
  1241. StartDataTimeCond: ">=",
  1242. }, 1)
  1243. if err != nil {
  1244. return
  1245. }
  1246. // 默认认为上一个查询是把所有的数据查出来了
  1247. allDataList = tmpDataList
  1248. // 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
  1249. // 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
  1250. if startDate != `` {
  1251. allDataList, err = GetEdbDataListAll(sourceEdbInfoItem.Source, sourceEdbInfoItem.SubSource, FindEdbDataListAllCond{
  1252. EdbInfoId: sourceEdbInfoItem.EdbInfoId,
  1253. }, 1)
  1254. if err != nil {
  1255. return
  1256. }
  1257. }
  1258. // 获取预测指标未来的数据
  1259. predictDataList := make([]*EdbInfoSearchData, 0)
  1260. endDateStr := edbInfo.EndDate //预测指标的结束日期
  1261. var predictMinValue, predictMaxValue float64
  1262. // 如果有配置的预测规则,那么就进行预测
  1263. if len(predictEdbConfList) > 0 {
  1264. predictDataList, predictMinValue, predictMaxValue, err = GetChartPredictEdbInfoDataListByConfList(predictEdbConfList, startDate, sourceEdbInfoItem.LatestDate, endDateStr, edbInfo.Frequency, edbInfo.DataDateType, edbInfo.EndDateType, allDataList)
  1265. if err != nil {
  1266. return
  1267. }
  1268. }
  1269. //order:1升序,其余值为降序
  1270. if order == 1 {
  1271. dataList = append(tmpDataList, predictDataList...)
  1272. } else {
  1273. // 先倒序预测数据
  1274. lenPredictDataList := len(predictDataList)
  1275. if lenPredictDataList > 0 {
  1276. for k := range predictDataList {
  1277. dataList = append(dataList, predictDataList[lenPredictDataList-k-1])
  1278. }
  1279. }
  1280. // 接着倒序实际指标
  1281. lenDataList := len(tmpDataList)
  1282. for k := range tmpDataList {
  1283. dataList = append(dataList, tmpDataList[lenDataList-k-1])
  1284. }
  1285. }
  1286. if len(predictDataList) > 0 {
  1287. // 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
  1288. if edbInfo.MinValue > predictMinValue {
  1289. edbInfo.MinValue = predictMinValue
  1290. }
  1291. // 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
  1292. if edbInfo.MaxValue < predictMaxValue {
  1293. edbInfo.MaxValue = predictMaxValue
  1294. }
  1295. }
  1296. return
  1297. }
  1298. // GetPredictEdbDataListAll 获取该预测指标所有的数据 ,order:1升序,其余值为降序
  1299. func GetPredictEdbDataListAll(edbInfo *EdbInfo, order int) (items []*EdbInfoSearchData, err error) {
  1300. /*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
  1301. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, 1, "")
  1302. } else {*/
  1303. items, err = GetEdbDataListAll(edbInfo.Source, edbInfo.SubSource, FindEdbDataListAllCond{
  1304. EdbInfoId: edbInfo.EdbInfoId,
  1305. }, order)
  1306. //}
  1307. return
  1308. }
  1309. // 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
  1310. func GetPredictEdbDataListAllByStartDate(edbInfo *EdbInfo, order int, startDate string) (items []*EdbInfoSearchData, err error) {
  1311. /*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
  1312. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, order, startDate)
  1313. } else {*/
  1314. items, err = GetEdbDataListAll(edbInfo.Source, edbInfo.SubSource, FindEdbDataListAllCond{
  1315. EdbInfoId: edbInfo.EdbInfoId,
  1316. StartDataTime: startDate,
  1317. StartDataTimeCond: ">=",
  1318. }, order)
  1319. //}
  1320. return
  1321. }
  1322. // ModifyPredictEdbInfoMaxAndMinInfo 修改预测指标的最新数据信息
  1323. func ModifyPredictEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  1324. 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=? `
  1325. err = global.DEFAULT_DB.Exec(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.LatestDate, item.LatestValue, item.EndValue, edbInfoId).Error
  1326. return
  1327. }
  1328. func GetEdbInfoItemByCondition(condition string, pars []interface{}) (item *EdbInfoList, err error) {
  1329. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  1330. if condition != "" {
  1331. sql += condition
  1332. }
  1333. err = global.DEFAULT_DB.Raw(sql, pars...).First(&item).Error
  1334. if err != nil {
  1335. return
  1336. }
  1337. item.ConvertDate()
  1338. return
  1339. }
  1340. // EdbInfoDetailReq 指标详情请求
  1341. type EdbInfoDetailReq struct {
  1342. UniqueCode string `description:"指标唯一编码"`
  1343. EdbCode string `description:"指标编码"`
  1344. }
  1345. // EdbInfoDetailResp 指标详情返回
  1346. type EdbInfoDetailResp struct {
  1347. SourceName string `description:"来源名称"`
  1348. EdbCode string `description:"指标编码"`
  1349. EdbName string `description:"指标名称"`
  1350. EdbNameSource string `description:"指标名称来源"`
  1351. Frequency string `description:"频率"`
  1352. Unit string `description:"单位"`
  1353. StartDate string `description:"起始日期"`
  1354. EndDate string `description:"终止日期"`
  1355. UniqueCode string `description:"指标唯一编码"`
  1356. CreateTime time.Time
  1357. ModifyTime time.Time
  1358. MinValue float64 `description:"指标最小值"`
  1359. MaxValue float64 `description:"指标最大值"`
  1360. EdbNameEn string `description:"英文指标名称"`
  1361. UnitEn string `description:"英文单位"`
  1362. LatestDate string `description:"数据最新日期"`
  1363. LatestValue float64 `description:"数据最新值"`
  1364. ChartImage string `description:"图表图片"`
  1365. DataList []*EdbInfoSearchData `gorm:"-"`
  1366. }
  1367. // 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
  1368. func (m *EdbInfoDetailResp) AfterFind(db *gorm.DB) (err error) {
  1369. m.StartDate = utils.GormDateStrToDateStr(m.StartDate)
  1370. m.EndDate = utils.GormDateStrToDateStr(m.EndDate)
  1371. m.LatestDate = utils.GormDateStrToDateStr(m.LatestDate)
  1372. return
  1373. }
  1374. type AddEdbInfoParams struct {
  1375. Source int `description:"来源id"`
  1376. EdbCode string `description:"指标编码"`
  1377. EdbName string `description:"指标名称"`
  1378. Frequency string `description:"频率"`
  1379. Unit string `description:"单位"`
  1380. ClassifyId int `description:"分类id"`
  1381. TerminalCode string `description:"终端编码"`
  1382. AdminId int `description:"创建人ID"`
  1383. AdminName string `description:"创建人姓名"`
  1384. }
  1385. // EdbInfoAdd 添加指标到指标库
  1386. func EdbInfoAdd(req *AddEdbInfoParams, serverUrl string, sysUserId int, sysUserRealName string) (edbInfo *EdbInfo, err error) {
  1387. source := req.Source
  1388. //判断指标名称是否存在
  1389. var condition string
  1390. var pars []interface{}
  1391. //condition += " AND source=? "
  1392. //pars = append(pars, source)
  1393. condition += " AND edb_code=? "
  1394. pars = append(pars, req.EdbCode)
  1395. items, err := GetEdbInfoByCondition(condition, pars, 0)
  1396. if err != nil {
  1397. err = errors.New("判断指标是否存在失败,Err:" + err.Error())
  1398. return
  1399. }
  1400. if len(items) > 0 {
  1401. sql := ` UPDATE edb_info SET classify_id=?,modify_time=NOW() WHERE edb_code=? `
  1402. //o := orm.NewOrm()
  1403. //_, err = o.Raw(sql, req.ClassifyId, req.EdbCode).Exec()
  1404. err = global.DEFAULT_DB.Exec(sql, req.ClassifyId, req.EdbCode).Error
  1405. if err != nil {
  1406. err = errors.New("更新指标分类信息失败,Err:" + err.Error())
  1407. return
  1408. }
  1409. edbInfo = items[0]
  1410. return
  1411. }
  1412. edbInfo = new(EdbInfo)
  1413. edbInfo.Source = source
  1414. sourceNameMap := map[int]string{
  1415. utils.DATA_SOURCE_THS: "同花顺",
  1416. utils.DATA_SOURCE_WIND: "wind",
  1417. utils.DATA_SOURCE_PB: "彭博",
  1418. utils.DATA_SOURCE_PB_FINANCE: "彭博财务",
  1419. utils.DATA_SOURCE_MANUAL: "手工数据",
  1420. utils.DATA_SOURCE_LZ: "隆众",
  1421. utils.DATA_SOURCE_YS: "SMM",
  1422. utils.DATA_SOURCE_GL: "钢联",
  1423. utils.DATA_SOURCE_ZZ: "郑商所",
  1424. utils.DATA_SOURCE_DL: "大商所",
  1425. utils.DATA_SOURCE_SH: "上期所",
  1426. utils.DATA_SOURCE_CFFEX: "中金所",
  1427. utils.DATA_SOURCE_SHFE: "上期能源",
  1428. utils.DATA_SOURCE_GIE: "欧洲天然气",
  1429. utils.DATA_SOURCE_LT: "路透",
  1430. utils.DATA_SOURCE_COAL: "中国煤炭市场网",
  1431. utils.DATA_SOURCE_GOOGLE_TRAVEL: "our world in data",
  1432. utils.DATA_SOURCE_MYSTEEL_CHEMICAL: "钢联化工",
  1433. utils.DATA_SOURCE_EIA_STEO: "EIA STEO报告",
  1434. utils.DATA_SOURCE_COM_TRADE: "UN",
  1435. utils.DATA_SOURCE_SCI: "SCI",
  1436. utils.DATA_SOURCE_BAIINFO: "BAIINFO",
  1437. utils.DATA_SOURCE_STOCK_PLANT: "存量装置",
  1438. utils.DATA_SOURCE_NATIONAL_STATISTICS: "国家统计局",
  1439. utils.DATA_SOURCE_FUBAO: "富宝数据",
  1440. }
  1441. sourceName, ok := sourceNameMap[source]
  1442. if !ok {
  1443. edbSource := EdbSourceIdMap[source]
  1444. if edbSource != nil {
  1445. sourceName = edbSource.SourceName
  1446. }
  1447. if sourceName == "" {
  1448. err = errors.New("指标来源异常")
  1449. return
  1450. }
  1451. }
  1452. edbInfo.SourceName = sourceName
  1453. edbType := 1 //基础指标
  1454. if source == utils.DATA_SOURCE_STOCK_PLANT {
  1455. edbType = 2 //计算指标
  1456. }
  1457. var sourceIndexName string
  1458. // 钢联化工需要校验下信息是否完整
  1459. if source == utils.DATA_SOURCE_MYSTEEL_CHEMICAL {
  1460. indexObj := new(BaseFromMysteelChemicalIndex)
  1461. tmpItem, tmpErr := indexObj.GetIndexItem(req.EdbCode)
  1462. if tmpErr != nil {
  1463. err = tmpErr
  1464. return
  1465. }
  1466. if tmpItem == nil || tmpItem.IndexName == `` {
  1467. err = errors.New("指标信息不全")
  1468. return
  1469. }
  1470. // 兼容数据
  1471. {
  1472. if req.Frequency == `` {
  1473. req.Frequency = tmpItem.Frequency
  1474. }
  1475. if req.Unit == `` {
  1476. req.Unit = tmpItem.Unit
  1477. }
  1478. }
  1479. }
  1480. edbInfo.EdbCode = req.EdbCode
  1481. edbInfo.EdbName = req.EdbName
  1482. edbInfo.EdbNameSource = req.EdbName
  1483. edbInfo.EdbNameEn = req.EdbName
  1484. edbInfo.Frequency = req.Frequency
  1485. edbInfo.Unit = req.Unit
  1486. edbInfo.UnitEn = req.Unit
  1487. edbInfo.ClassifyId = req.ClassifyId
  1488. edbInfo.SysUserId = sysUserId
  1489. edbInfo.SysUserRealName = sysUserRealName
  1490. edbInfo.StartDate = "1990-01-01"
  1491. edbInfo.CreateTime = time.Now()
  1492. edbInfo.ModifyTime = time.Now()
  1493. edbInfo.ServerUrl = serverUrl
  1494. edbInfo.TerminalCode = req.TerminalCode
  1495. edbInfo.Sort = GetAddEdbMaxSortByClassifyId(req.ClassifyId, 0)
  1496. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1497. edbInfo.UniqueCode = utils.MD5(utils.DATA_PREFIX + "_" + req.EdbCode + timestamp)
  1498. itemVal, err := GetEdbInfoMaxAndMinInfo(source, utils.DATA_SUB_SOURCE_EDB, req.EdbCode)
  1499. if itemVal != nil && err == nil {
  1500. edbInfo.MaxValue = itemVal.MaxValue
  1501. edbInfo.MinValue = itemVal.MinValue
  1502. }
  1503. edbInfo.EdbType = edbType
  1504. edbInfo.SourceIndexName = sourceIndexName
  1505. edbInfoId, err := AddEdbInfo(edbInfo)
  1506. if err != nil {
  1507. err = errors.New("保存失败,Err:" + err.Error())
  1508. return
  1509. }
  1510. edbInfo.EdbInfoId = int(edbInfoId)
  1511. return
  1512. }
  1513. func ModifyEdbInfoBaseTimeById(edbInfoId int, cTime time.Time) (err error) {
  1514. //o := orm.NewOrm()
  1515. // 更新修改时间
  1516. sql := ` UPDATE edb_info SET base_modify_time = ? WHERE edb_info_id = ? `
  1517. //_, err = o.Raw(sql, cTime, edbInfoId).Exec()
  1518. err = global.DEFAULT_DB.Exec(sql, cTime, edbInfoId).Error
  1519. return
  1520. }
  1521. // EdbInfoRefreshCheckReq 指标数据更新情况查询
  1522. type EdbInfoRefreshCheckReq struct {
  1523. Source int `description:"来源id"`
  1524. LatestDate string `description:"数据最新日期"`
  1525. FrequencyBatch string `description:"更新频度"`
  1526. }
  1527. // EdbInfoRefreshCheckResp 指标数据更新情况查询
  1528. type EdbInfoRefreshCheckResp struct {
  1529. UpdateNum int `description:"已更新指标数"`
  1530. UnUpdateNum int `description:"未更新指标数"`
  1531. }
  1532. // ResetEdbClassifyReq 指标重新分类请求体
  1533. type ResetEdbClassifyReq struct {
  1534. IndexCode string `description:"指标编码"`
  1535. ClassifyFirst string `description:"一级分类名称"`
  1536. ClassifySecond string `description:"二级分类名称"`
  1537. ClassifyThird string `description:"三级分类名称"`
  1538. }
  1539. // GetEdbInfoMaxSortByClassifyId 获取分类下指标的最大的排序数
  1540. func GetEdbInfoMaxSortByClassifyId(classifyId int) (sort int, err error) {
  1541. var intNull sql2.NullInt64
  1542. sql := `SELECT Max(sort) AS sort FROM edb_info WHERE classify_id=? `
  1543. //err = o.Raw(sql, classifyId).QueryRow(&sort)
  1544. err = global.DEFAULT_DB.Raw(sql, classifyId).Scan(&intNull).Error
  1545. if err == nil && intNull.Valid {
  1546. sort = int(intNull.Int64)
  1547. }
  1548. return
  1549. }
  1550. func GetEdbAndClassifyMaxSort(parentId int, classifyType uint8) (maxSort int, err error) {
  1551. //获取该层级下最大的排序数
  1552. classifyMaxSort, err := GetEdbClassifyMaxSort(parentId, classifyType)
  1553. if err != nil {
  1554. return
  1555. }
  1556. maxSort = classifyMaxSort
  1557. edbMaxSort, err := GetEdbInfoMaxSortByClassifyId(parentId)
  1558. if err != nil {
  1559. return
  1560. }
  1561. if maxSort < edbMaxSort {
  1562. maxSort = edbMaxSort
  1563. }
  1564. return
  1565. }
  1566. // CalculateEdbExtra 指标运算额外配置
  1567. type CalculateEdbExtra struct {
  1568. 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"`
  1569. }
  1570. // CalculateLjzEdbExtra 累计值额外配置
  1571. type CalculateLjzEdbExtra struct {
  1572. LastValType int `description:"最新值处理:0默认、均值填充"`
  1573. }
  1574. type EdbInfoEditRecord struct {
  1575. EdbInfoId int `description:"指标ID"`
  1576. EdbName string `description:"指标名称"`
  1577. Frequency string `description:"频率"`
  1578. Unit string `description:"单位"`
  1579. ClassifyId int `description:"分类id"`
  1580. CalculateFormula string `description:"计算公式"`
  1581. OperateUserId int `description:"操作人id"`
  1582. OperateUserRealName string `description:"操作人姓名"`
  1583. }
  1584. // GetEdbInfoByEdbCodeList
  1585. // @Description: 根据来源和指标编码列表获取指标信息列表
  1586. // @author: Roc
  1587. // @datetime 2024-05-31 16:31:52
  1588. // @param source int
  1589. // @param edbCodeList []string
  1590. // @return items []*EdbInfo
  1591. // @return err error
  1592. func GetEdbInfoByEdbCodeList(source int, edbCodeList []string) (items []*EdbInfo, err error) {
  1593. num := len(edbCodeList)
  1594. if num <= 0 {
  1595. return
  1596. }
  1597. //o := orm.NewOrm()
  1598. sql := ` SELECT * FROM edb_info WHERE source=? AND edb_code IN (` + utils.GetOrmInReplace(num) + `) `
  1599. //_, err = o.Raw(sql, source, edbCodeList).QueryRows(&items)
  1600. err = global.DEFAULT_DB.Raw(sql, source, edbCodeList).Find(&items).Error
  1601. return
  1602. }
  1603. // GetAddEdbMaxSortByClassifyId
  1604. // @Description: 获取添加指标时,该分类下最大的排序(忽略错误信息)
  1605. // @author: Roc
  1606. // @datetime 2024-07-05 09:39:46
  1607. // @param classifyId int
  1608. // @param classifyType uint8
  1609. // @return sort int
  1610. func GetAddEdbMaxSortByClassifyId(classifyId int, classifyType uint8) (sort int) {
  1611. sort, _ = GetEdbAndClassifyMaxSort(classifyId, classifyType)
  1612. sort = sort + 1
  1613. return
  1614. }
  1615. // EdbInfoExtra 指标额外数据-extra字段
  1616. type EdbInfoExtra struct {
  1617. ApiExtraPars string `description:"API-额外参数(如同花顺日期序列)"`
  1618. }
  1619. // GetEdbInfoNoUpdateTotalByIdList 根据指标id列表获取指标信息
  1620. func GetEdbInfoNoUpdateTotalByIdList(edbInfoIdList []int) (total int, err error) {
  1621. num := len(edbInfoIdList)
  1622. if num <= 0 {
  1623. return
  1624. }
  1625. //o := orm.NewOrm()
  1626. sql := ` SELECT count(*) FROM edb_info WHERE edb_info_id in (` + utils.GetOrmInReplace(num) + `) and no_update=1`
  1627. //err = o.Raw(sql, edbInfoIdList).QueryRow(&total)
  1628. err = global.DEFAULT_DB.Raw(sql, edbInfoIdList).Scan(&total).Error
  1629. return
  1630. }
  1631. func TransEdbInfoSearchData2DataList(items []*EdbInfoSearchData) (list []*EdbDataList) {
  1632. if len(items) == 0 {
  1633. return
  1634. }
  1635. list = make([]*EdbDataList, 0)
  1636. for _, v := range items {
  1637. list = append(list, &EdbDataList{
  1638. EdbDataId: v.EdbDataId,
  1639. EdbInfoId: v.EdbInfoId,
  1640. DataTime: v.DataTime,
  1641. DataTimestamp: v.DataTimestamp,
  1642. Value: v.Value,
  1643. })
  1644. }
  1645. return
  1646. }
  1647. func TransEdbInfoDataList2SearchData(items []*EdbDataList) (list []*EdbInfoSearchData) {
  1648. if len(items) == 0 {
  1649. return
  1650. }
  1651. list = make([]*EdbInfoSearchData, 0)
  1652. for _, v := range items {
  1653. list = append(list, &EdbInfoSearchData{
  1654. EdbDataId: v.EdbDataId,
  1655. EdbInfoId: v.EdbInfoId,
  1656. DataTime: v.DataTime,
  1657. DataTimestamp: v.DataTimestamp,
  1658. Value: v.Value,
  1659. })
  1660. }
  1661. return
  1662. }
  1663. type SortEdbDataList []*EdbInfoSearchData
  1664. func (m SortEdbDataList) Len() int {
  1665. return len(m)
  1666. }
  1667. func (m SortEdbDataList) Less(i, j int) bool {
  1668. return m[i].DataTime > m[j].DataTime
  1669. }
  1670. func (m SortEdbDataList) Swap(i, j int) {
  1671. m[i], m[j] = m[j], m[i]
  1672. }
  1673. func ModifyEdbInfoDataStatus(edbInfoId int64, source, subSource int, edbCode string) (err error) {
  1674. //o := orm.NewOrm()
  1675. sql := ``
  1676. tableName := GetEdbDataTableName(source, subSource)
  1677. sql = ` UPDATE %s SET edb_info_id=?,modify_time=NOW() WHERE edb_code=? `
  1678. sql = fmt.Sprintf(sql, tableName)
  1679. //_, err = o.Raw(sql, edbInfoId, edbCode).Exec()
  1680. err = global.DEFAULT_DB.Exec(sql, edbInfoId, edbCode).Error
  1681. return
  1682. }
  1683. // ConvertDate
  1684. // @Description: 格式化EdbData的日期
  1685. // @receiver e
  1686. func (m *EdbInfoSearchDataV1) ConvertDate() {
  1687. m.DataTime = utils.GormDateStrToDateStr(m.DataTime)
  1688. return
  1689. }