constants.go 24 KB

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  1. package utils
  2. import (
  3. "io/fs"
  4. "time"
  5. )
  6. // 常量定义
  7. const (
  8. FormatTime = "15:04:05" //时间格式
  9. FormatTimeHm = "15:04" //时间格式
  10. FormatDate = "2006-01-02" //日期格式
  11. FormatDateUnSpace = "20060102" //日期格式
  12. ormatDateUnSpace = "2006.01.02" //日期格式
  13. FormatDateTime = "2006-01-02 15:04:05" //完整时间格式
  14. HlbFormatDateTime = "2006-01-02_15:04:05.999" //完整时间格式
  15. FormatDateTimeUnSpace = "20060102150405" //完整时间格式
  16. FormatShortDateTimeUnSpace = "060102150405" //省去开头两位年份的时间格式
  17. EmptyDateTimeStr = "0000-00-00 00:00:00" //DateTime零值字符串
  18. EmptyDateStr = "0000-00-00" //Date零值字符串
  19. FormatMonthDayUnSpace = "0102" //日期格式
  20. FormatMonthDay = "01-02" //日期格式
  21. FormatYearMonthDate = "2006-01" //日期格式
  22. FormatYearDate = "2006" //日期格式
  23. PageSize15 = 15 //列表页每页数据量
  24. PageSize5 = 5
  25. PageSize10 = 10
  26. PageSize20 = 20
  27. PageSize30 = 30
  28. PageSize50 = 50
  29. )
  30. const DateTypeNYears = 20 //时间类型为最近N年
  31. // 手机号,电子邮箱正则
  32. const (
  33. RegularMobile = "^((13[0-9])|(14[5|7])|(15([0-3]|[5-9]))|(18[0-9])|(17[0-9])|(16[0-9])|(19[0-9]))\\d{8}$" //手机号码
  34. RegularEmail = `\w+([-+.]\w+)*@\w+([-.]\w+)*\.\w+([-.]\w+)*` //匹配电子邮箱
  35. )
  36. // 验证码code
  37. const (
  38. REGISTER_CODE = iota + 1 //注册
  39. LOGIN_CODE //登录
  40. )
  41. // 管理员,ficc管理员,ficc销售,权益管理员,权益销售。
  42. // 角色类型/类型编码
  43. const (
  44. ROLE_TYPE_ADMIN = "管理员"
  45. ROLE_TYPE_FICC_ADMIN = "ficc管理员"
  46. ROLE_TYPE_FICC_SELLER = "ficc销售"
  47. ROLE_TYPE_RAI_ADMIN = "权益管理员"
  48. ROLE_TYPE_RAI_SELLER = "权益销售"
  49. ROLE_TYPE_FICC_GROUP = "ficc销售组长"
  50. ROLE_TYPE_FICC_MANAGER = "ficc销售主管"
  51. ROLE_TYPE_RAI_GROUP = "权益组长"
  52. ROLE_TYPE_FICC_DEPARTMENT = "ficc部门经理"
  53. ROLE_TYPE_RAI_DEPARTMENT = "权益部门经理"
  54. ROLE_TYPE_FICC_RESEARCHR = "ficc研究员"
  55. ROLE_TYPE_RAI_RESEARCHR = "权益研究员"
  56. ROLE_NAME_FICC_DIRECTOR = "ficc销售经理" // 实际角色类型为ficc销售主管
  57. ROLE_TYPE_CODE_ADMIN = "admin" //管理员
  58. ROLE_TYPE_CODE_FICC_ADMIN = "ficc_admin" //ficc管理员
  59. ROLE_TYPE_CODE_FICC_SELLER = "ficc_seller" //ficc销售
  60. ROLE_TYPE_CODE_RAI_ADMIN = "rai_admin" //权益管理员
  61. ROLE_TYPE_CODE_RAI_SELLER = "rai_seller" //权益销售
  62. ROLE_TYPE_CODE_FICC_GROUP = "ficc_group" //ficc销售主管
  63. ROLE_TYPE_CODE_RAI_GROUP = "rai_group" //ficc组长
  64. ROLE_TYPE_CODE_FICC_DEPARTMENT = "ficc_department" //ficc部门经理
  65. ROLE_TYPE_CODE_RAI_DEPARTMENT = "rai_department" //权益部门经理
  66. ROLE_TYPE_CODE_FICC_RESEARCHR = "ficc_researcher" //ficc研究员
  67. ROLE_TYPE_CODE_RESEARCHR = "researcher" //ficc研究员(最早定义的)
  68. ROLE_TYPE_CODE_RAI_RESEARCHR = "rai_researcher" //权益研究员
  69. ROLE_TYPE_CODE_COMPLIANCE = "compliance" //合规角色
  70. ROLE_TYPE_CODE_FINANCE = "finance" //财务角色
  71. ROLE_TYPE_CODE_FICC_TEAM = "ficc_team" //ficc销售组长
  72. ROLE_TYPE_SELLERS = "'ficc_admin','ficc_seller','ficc_team','rai_admin','rai_seller','ficc_group','rai_group','ficc_department','rai_department','compliance','finance'"
  73. )
  74. const (
  75. COMPANY_PRODUCT_FICC_ID = 1
  76. COMPANY_PRODUCT_FICC_NAME = "ficc"
  77. COMPANY_PRODUCT_RAI_ID = 2
  78. COMPANY_PRODUCT_RAI_NAME = "权益"
  79. )
  80. var PermissionFiccClassifyArr = [...]string{"宏观经济", "化工产业", "建材产业", "有色产业", "新能源", "市场策略"}
  81. var PermissionAllClassifyArr = [...]string{"宏观经济", "化工产业", "建材产业", "有色产业", "新能源", "市场策略", "权益"}
  82. //apply_method:申请类型:1:试用->正式,2:冻结—>试用,3:流失—>正式,4:试用延期,5:原销售申请领取流失客户,6:正式客户申请服务更新
  83. // 数据来源渠道
  84. const (
  85. DATA_SOURCE_THS = iota + 1 //同花顺
  86. DATA_SOURCE_WIND //wind->2
  87. DATA_SOURCE_PB //彭博->3
  88. DATA_SOURCE_CALCULATE //指标运算->4
  89. DATA_SOURCE_CALCULATE_LJZZY //累计值转月->5
  90. DATA_SOURCE_CALCULATE_TBZ //同比值->6
  91. DATA_SOURCE_CALCULATE_TCZ //同差值->7
  92. DATA_SOURCE_CALCULATE_NSZYDPJJS //N数值移动平均计算->8
  93. DATA_SOURCE_MANUAL //手工指标->9
  94. DATA_SOURCE_LZ //隆众->10
  95. DATA_SOURCE_YS //有色->11
  96. DATA_SOURCE_CALCULATE_HBZ //环比值->12
  97. DATA_SOURCE_CALCULATE_HCZ //环差值->13
  98. DATA_SOURCE_CALCULATE_BP //变频->14
  99. DATA_SOURCE_GL //钢联->15
  100. DATA_SOURCE_ZZ //郑商所->16
  101. DATA_SOURCE_DL //大商所->17
  102. DATA_SOURCE_SH //上期所->18
  103. DATA_SOURCE_CFFEX //中金所->19
  104. DATA_SOURCE_SHFE //上期能源->20
  105. DATA_SOURCE_GIE //欧洲天然气->21
  106. DATA_SOURCE_CALCULATE_TIME_SHIFT //时间移位->22
  107. DATA_SOURCE_CALCULATE_ZJPJ //直接拼接->23
  108. DATA_SOURCE_CALCULATE_LJZTBPJ //累计值同比拼接->24
  109. DATA_SOURCE_LT //路透->25
  110. DATA_SOURCE_COAL //中国煤炭市场网->26
  111. DATA_SOURCE_PYTHON //python代码->27
  112. DATA_SOURCE_PB_FINANCE //彭博财务数据->28
  113. DATA_SOURCE_GOOGLE_TRAVEL //谷歌出行->29
  114. DATA_SOURCE_PREDICT //普通预测指标->30
  115. DATA_SOURCE_PREDICT_CALCULATE //预测指标运算->31
  116. DATA_SOURCE_PREDICT_CALCULATE_TBZ //预测同比值->32
  117. DATA_SOURCE_PREDICT_CALCULATE_TCZ //预测同差值->33
  118. DATA_SOURCE_MYSTEEL_CHEMICAL //钢联化工->34
  119. DATA_SOURCE_CALCULATE_CJJX //超季节性->35
  120. DATA_SOURCE_EIA_STEO //eia steo报告->36
  121. DATA_SOURCE_CALCULATE_NHCC //计算指标(拟合残差)->37
  122. DATA_SOURCE_COM_TRADE //联合国商品贸易数据->38
  123. DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS //预测指标 - N数值移动平均计算 -> 39
  124. DATA_SOURCE_CALCULATE_ADJUST //数据调整->40
  125. DATA_SOURCE_SCI //卓创数据(红桃三)->41
  126. DATA_SOURCE_PREDICT_CALCULATE_LJZZY //预测指标 - 累计值转月->42
  127. DATA_SOURCE_PREDICT_CALCULATE_HBZ //预测指标 - 环比值->43
  128. DATA_SOURCE_PREDICT_CALCULATE_HCZ //预测指标 - 环差值->44
  129. DATA_SOURCE_PREDICT_CALCULATE_BP //预测指标 - 变频->45
  130. DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT //预测指标 - 时间移位->46
  131. DATA_SOURCE_PREDICT_CALCULATE_ZJPJ //预测指标 - 直接拼接->47
  132. DATA_SOURCE_PREDICT_CALCULATE_LJZTBPJ //预测指标 - 累计值同比拼接->48
  133. DATA_SOURCE_PREDICT_CALCULATE_CJJX //预测指标 - 超季节性->49
  134. DATA_SOURCE_PREDICT_CALCULATE_NHCC //预测指标 - 计算指标(拟合残差)->50
  135. DATA_SOURCE_CALCULATE_JP //变频->51
  136. DATA_SOURCE_CALCULATE_NH //年化->52
  137. DATA_SOURCE_CALCULATE_KSZS //扩散指数->53
  138. DATA_SOURCE_PREDICT_CALCULATE_JP //预测指标 - 计算指标(降频)->54
  139. DATA_SOURCE_PREDICT_CALCULATE_NH //预测指标 - 计算指标(年化)->55
  140. DATA_SOURCE_PREDICT_CALCULATE_KSZS //预测指标 - 计算指标(扩散指数)->56
  141. DATA_SOURCE_BAIINFO //百川盈孚 ->57
  142. DATA_SOURCE_STOCK_PLANT //存量装置 ->58
  143. DATA_SOURCE_CALCULATE_CORRELATION //滚动相关性->59
  144. DATA_SOURCE_NATIONAL_STATISTICS //国家统计局->60
  145. DATA_SOURCE_CALCULATE_LJZZJ //累计值转季 -> 61
  146. DATA_SOURCE_CALCULATE_LJZ //累计值 -> 62
  147. DATA_SOURCE_CALCULATE_LJZNCZJ //累计值(年初至今) -> 63
  148. DATA_SOURCE_PREDICT_CALCULATE_LJZZJ //预测指标 - 累计值转季->64
  149. DATA_SOURCE_PREDICT_CALCULATE_LJZ //预测指标 - 累计值 -> 65
  150. DATA_SOURCE_PREDICT_CALCULATE_LJZNCZJ //预测指标 - 累计值(年初至今) -> 66
  151. DATA_SOURCE_CALCULATE_STANDARD_DEVIATION //标准差->67
  152. DATA_SOURCE_CALCULATE_PERCENTILE //百分位图表->68
  153. DATA_SOURCE_PREDICT_CALCULATE_STANDARD_DEVIATION //预测标准差->69
  154. DATA_SOURCE_PREDICT_CALCULATE_PERCENTILE //预测百分位->70
  155. DATA_SOURCE_FUBAO //富宝->71
  156. DATA_SOURCE_CALCULATE_ZSXY // 指数修匀->72
  157. DATA_SOURCE_PREDICT_CALCULATE_ZSXY // 预测指数修匀->73
  158. DATA_SOURCE_CALCULATE_ZDYFX // 自定义分析->74
  159. DATA_SOURCE_CALCULATE_RJZ // 日均值计算->75
  160. DATA_SOURCE_YONYI = 76 //涌益咨询
  161. DATA_SOURCE_GFEX = 78 // 广州期货交易所->78
  162. DATA_SOURCE_ICPI = 79 // ICPI消费价格指数->79
  163. DATA_SOURCE_BLOOMBERG = 83 // bloomberg彭博数据
  164. DATA_SOURCE_BUSINESS = 84 // 来源于自有数据
  165. DATA_SOURCE_SCI99 = 85 // 卓创资讯 -> 85
  166. DATA_SOURCE_CALCULATE_RANGEANLYSIS = 87 //区间计算->87
  167. DATA_SOURCE_PREDICT_CALCULATE_RANGEANLYSIS = 90 // 预测指标区间计算->90
  168. DATA_SOURCE_SCI_HQ = 88 // 卓创红期->88
  169. DATA_SOURCE_OILCHEM = 89 // 隆众资讯 -> 89
  170. DATA_SOURCE_FENWEI = 77 // 汾渭数据->92
  171. DATA_SOURCE_LY = 91 // 粮油商务网
  172. DATA_SOURCE_TRADE_ANALYSIS = 92 // 持仓分析
  173. DATA_SOURCE_HISUGAR = 93 // 泛糖科技 -> 93
  174. DATA_SOURCE_RESIDUAL_ANALYSIS = 99 // 残差分析
  175. )
  176. // 数据刷新频率
  177. const (
  178. DATA_START_REFRESH_LIMIT = 7 //7个单位,日/周/月/季度/年
  179. DATA_END_DATE_LIMIT = 4 //数据结束日期为,当前日期,加上4年时间
  180. )
  181. const (
  182. DATA_PREFIX = "hz_data"
  183. CHART_PREFIX = "hz_chart"
  184. EXCEL_DATA_PREFIX = "hz_excel_data"
  185. )
  186. const (
  187. EDB_DATA_LIMIT = 10
  188. )
  189. var Hz_Data_WIND_Url_List = []string{"http://datawind.hzinsights.com:8040/", "http://datawind2.hzinsights.com:8040/"}
  190. const (
  191. HZ_CHART_LIB_DETAIL = "HZ_CHART_LIB_DETAIL_" //图表数据缓存
  192. HZ_CHART_LIB_EXCEL_TABLE_DETAIL = "HZ_CHART_LIB_EXCEL_TABLE_DETAIL" //excel表格数据缓存
  193. )
  194. // 缓存key
  195. const (
  196. CACHE_KEY_LOGS = "HZ_ADMIN_CACHE_KEY_LOGS" //api用户操作日志队列
  197. CACHE_KEY_ADMIN = "calendar:admin:list" //系统用户列表缓存key
  198. CACHE_KEY_ADMIN_ID = "calendar:admin:id:list" //系统用户列表缓存key
  199. CACHE_KEY_OLD_REPORT_PUBLISH = "HZ_CACHE_KEY_OLD_REPORT_PUBLISH" //老后台报告发布队列
  200. CACHE_ADMIN_YB_CONFIG = "admin:yb_config:" //研报配置相关缓存前缀
  201. CACHE_WIND_URL = "CACHE_WIND_URL" //指标与wind服务器的绑定关系
  202. CACHE_CHART_INFO_DATA = "chart:info:data:" //图表数据
  203. CACHE_CHART_CLASSIFY = "chart:classify" //图表分类数据
  204. CACHE_IMPORT_MANUAL_DATA = "import:manual:data" //手工数据导入后刷新
  205. CACHE_MYSTEEL_CHEMICAL_ADD_DATA = "import:mysteelchemical:data" //钢联化工的数据源导入后刷新
  206. CACHE_ACCESS_TOKEN_LOGIN = "pc_eta_admin:login:" //管理后台登录
  207. CACHE_ACCESS_TOKEN_LOGIN_NO_TRUST = "pc_eta_admin:login:no_trust:" //管理后台登录(不可信登录态)
  208. CACHE_ABNORMAL_LOGIN = "pc_eta_admin:login:abnormal:" //管理后台登录-异常登录
  209. CACHE_LOGIN_ERR_PASS = "pc_eta_admin:login:errPass:" //管理后台登录-输入错误密码次数
  210. CACHE_FIND_PASS_VERIFY = "pc_eta_admin:findPass:verify:" //找回密码校验成功标记
  211. CACHE_KEY_MYSTEEL_REFRESH = "mysteel_chemical:refresh" //钢联化工刷新
  212. CACHE_KEY_DAYNEW_REFRESH = "admin:day_new:refresh" //每日资讯拉取企业微信聊天记录
  213. CACHE_KEY_DAYNEW_TRANSLATE = "admin:day_new:translate" //每日资讯中翻英
  214. CACHE_KEY_ADMIN_OPERATE_RECORD = "HZ_ADMIN_CACHE_ADMIN_OPERATE_RECORD" //系统用户操作日志队列
  215. CACHE_SYNC_ADMIN = "hz_crm_eta:sync_admin" // 同步用户的缓存队列key
  216. CACHE_SYNC_ROLE = "hz_crm_eta:sync_role" // 同步角色的缓存队列key
  217. CACHE_SYNC_DEPARTMENT = "hz_crm_eta:sync_department" // 同步部门的缓存队列key
  218. CACHE_SYNC_GROUP = "hz_crm_eta:sync_group" // 同步分组的缓存队列key
  219. CACHE_SYNC_USER_EN_ROLE = "hz_crm_eta:sync_user_en_role" // 同步用户英文权限角色缓存队列key
  220. CACHE_SMART_REPORT_EDITING = "eta:smart_report:editing:" // 智能研报用户编辑中
  221. CACHE_SMART_REPORT_SEND_MSG = "eta:smart_report:sending:" // 智能研报用户报告推送
  222. CACHE_PPT_EDITING = "eta:ppt:editing:" // PPT用户编辑中
  223. CACHE_EN_PPT_EDITING = "eta:en_ppt:editing:" // 英文PPT用户编辑中
  224. CACHE_CREATE_REPORT_IMGPDF_QUEUE = "eta_report:report_img_pdf_queue" // 生成报告长图PDF队列
  225. CACHE_EDB_TERMINAL_CODE_URL = "edb:terminal_code:edb_code:" // 指标与终端关系的缓存
  226. CACHE_KEY_REPLACE_EDB = "eta:replace_edb" //系统用户操作日志队列
  227. )
  228. // 模板消息推送类型
  229. const (
  230. TEMPLATE_MSG_REPORT = iota + 1 //日度点评报告推送
  231. )
  232. // 研报类型标识
  233. var (
  234. REPORT_TYPE_DAY = "day"
  235. REPORT_TYPE_WEEK = "week"
  236. REPORT_TYPE_TWO_WEEK = "two_week"
  237. REPORT_TYPE_MONTH = "month"
  238. REPORT_TYPE_OTHER = "other"
  239. )
  240. // GetFiccAdminDepartmentIds 获取ficc管理员的所属部门
  241. func GetFiccAdminDepartmentIds() (idStr string) {
  242. if RunMode == "release" {
  243. idStr = `1,2,4,6`
  244. } else {
  245. idStr = `1,2,6`
  246. }
  247. return
  248. }
  249. const (
  250. ReportFrequencyDay = "日度"
  251. ReportFrequencyWeek = "周度"
  252. ReportFrequencyTwoWeek = "双周度"
  253. ReportFrequencyMonth = "月度"
  254. ReportFrequencyDefault = "不定时"
  255. )
  256. // 图表类型
  257. const (
  258. CHART_SOURCE_DEFAULT = 1
  259. CHART_SOURCE_FUTURE_GOOD = 2
  260. CHART_SOURCE_CORRELATION = 3 // 相关性图表
  261. CHART_SOURCE_ROLLING_CORRELATION = 4 // 滚动相关性图表
  262. CHART_SOURCE_FUTURE_GOOD_PROFIT = 5 // 商品利润曲线
  263. CHART_SOURCE_LINE_EQUATION = 6 // 拟合方程图表
  264. CHART_SOURCE_LINE_FEATURE_STANDARD_DEVIATION = 7 // 统计特征-标准差图表
  265. CHART_SOURCE_LINE_FEATURE_PERCENTILE = 8 // 统计特征-百分位图表
  266. CHART_SOURCE_LINE_FEATURE_FREQUENCY = 9 // 统计特征-频率分布图表
  267. CHART_SOURCE_CROSS_HEDGING = 10 // 跨品种分析图表
  268. CHART_SOURCE_BALANCE_EXCEL = 11 // 平衡表图表
  269. CHART_SOURCE_RANGE_ANALYSIS = 12 // 区间分析图表
  270. CHART_SOURCE_TRADE_ANALYSIS_PROCESS = 13 // 持仓分析-建仓过程图表
  271. )
  272. // 批量配置图表的位置来源
  273. const (
  274. CHART_MULTIPLE_GRAPH_CURVE = 1 // 曲线图
  275. CHART_MULTIPLE_GRAPH_CORRELATION = 2 // 相关性图
  276. CHART_MULTIPLE_GRAPH_ROLLING_CORRELATION_ONE = 3 // 滚动相关性图1
  277. CHART_MULTIPLE_GRAPH_ROLLING_CORRELATION_TWO = 4 // 滚动相关性图2
  278. CHART_MULTIPLE_GRAPH_LINE_EQUATION_ONE = 5 // 拟合方程-斜率图
  279. CHART_MULTIPLE_GRAPH_LINE_EQUATION_TWO = 6 // 拟合方程-截距图
  280. CHART_MULTIPLE_GRAPH_LINE_EQUATION_THREE = 7 // 拟合方程-相关性图
  281. CHART_MULTIPLE_GRAPH_LINE_FEATURE_STANDARD_DEVIATION = 8 // 统计特征-标准差图表
  282. CHART_MULTIPLE_GRAPH_LINE_FEATURE_PERCENTILE = 9 // 统计特征-百分位图表
  283. CHART_MULTIPLE_GRAPH_LINE_FEATURE_FREQUENCY = 10 // 统计特征-频率分布图表
  284. )
  285. // ETA表格
  286. const (
  287. EXCEL_DEFAULT = 1 // 自定义excel
  288. TIME_TABLE = 2 // 时间序列表格
  289. MIXED_TABLE = 3 // 混合表格
  290. CUSTOM_ANALYSIS_TABLE = 4 // 自定义分析表格
  291. BALANCE_TABLE = 5 // 平衡表
  292. )
  293. // 图表样式类型
  294. const (
  295. CHART_TYPE_CURVE = 1 //曲线图
  296. CHART_TYPE_SEASON = 2 //季节性图
  297. CHART_TYPE_BAR = 7 //柱形图
  298. CHART_TYPE_SECTION_SCATTER = 10 //截面散点图样式
  299. CHART_TYPE_RADAR = 11 //雷达图
  300. CHART_TYPE_SECTION_COMBINE = 14 //截面组合图
  301. )
  302. // 指标类型
  303. const (
  304. EDB_INFO_TYPE = 0 //指标类型 0:普通指标
  305. PREDICT_EDB_INFO_TYPE = 1 //指标类型 1:预测指标
  306. )
  307. // 是否关系 无实义
  308. const (
  309. IS_YES = 1
  310. IS_NO = 0
  311. )
  312. // 是否可用
  313. const (
  314. IS_ENABLE = 1
  315. IS_DISABLE = 0
  316. )
  317. // FrequencyDaysMap 频度日期的map关系
  318. var FrequencyDaysMap = map[string]int{
  319. "天": 1, "周": 7, "月": 30, "季": 90, "年": 365,
  320. }
  321. const (
  322. AiChatLimit = 500
  323. )
  324. // 系统来源
  325. const (
  326. SOURCE_ETA_FLAG = 2
  327. )
  328. // BusinessCodeSalt 商家编码盐值
  329. const BusinessCodeSalt = "dr7WY0OZgGR7upw1"
  330. // 自用商户号
  331. const (
  332. BusinessCodeSandbox = "E2023080700" // 试用平台
  333. BusinessCodeRelease = "E2023080900" // 生产环境
  334. BusinessCodeDebug = "E2023080901" // 测试环境
  335. )
  336. // 验证码
  337. const (
  338. CaptchaCachePrefix = "captcha:lock:eta_" // 验证码缓存Key
  339. VerifyCodeExpireMinute = 15 // 短信/邮箱验证码过期时间-分钟
  340. SmsLoginTplId = "65692" // 【弘则研究】您的验证码是XXX,如非本人操作,请忽略本短信
  341. SmsNewLoginTplId = "254663" // 【弘则研究】您的验证码是XXX,有效期15分钟
  342. )
  343. const CrmEtaAuthorization = "NIi1RbEmH0C2rksXtPGDPBBgRgTZY87Q"
  344. const LoginCacheTime = 60 // 登录缓存时长, 分钟
  345. // 对象存储客户端
  346. const (
  347. STORAGESOURCE_OSS = 1 //阿里云OSS
  348. STORAGESOURCE_MINIO = 2 //MinIo
  349. )
  350. const (
  351. STORAGESOURCE_OSS_NAME = "oss"
  352. STORAGESOURCE_MINIO_NAME = "minio"
  353. STORAGESOURCE_S3_NAME = "s3"
  354. )
  355. // DIR_MOD 目录创建权限
  356. const DIR_MOD fs.FileMode = 0766 // Unix permission bits
  357. // 子数据来源渠道
  358. const (
  359. DATA_SUB_SOURCE_EDB = iota //经济数据库
  360. DATA_SUB_SOURCE_DATE //日期序列
  361. DATA_SUB_SOURCE_HIGH_FREQUENCY //高频数据
  362. )
  363. const (
  364. WindDbWsd = "wsd"
  365. ThsDs = "thsds"
  366. ThsHf = "thshf"
  367. )
  368. const (
  369. UserLoginSalt = "MiQM9yusNA9T2uIH" // 用户登录盐值
  370. DesKeySalt = "JMCqSoUrTAmyNNIRb0TtlrPk" // DesKey盐值
  371. )
  372. // DataSourceEnMap 指标来源的英文名称
  373. var DataSourceEnMap = map[int]string{
  374. DATA_SOURCE_WIND: "Wind",
  375. DATA_SOURCE_THS: "iFind",
  376. DATA_SOURCE_PB: "Bloomberg",
  377. DATA_SOURCE_PB_FINANCE: "Bloomberg Finance",
  378. DATA_SOURCE_LT: "Reuters",
  379. DATA_SOURCE_MANUAL: "Horizon Insights",
  380. DATA_SOURCE_LZ: "OilChem",
  381. DATA_SOURCE_YS: "SMM",
  382. DATA_SOURCE_GL: "MySteel",
  383. DATA_SOURCE_ZZ: "Zhengzhou Commodity Exchange",
  384. DATA_SOURCE_DL: "Dalian Commodity Exchange",
  385. DATA_SOURCE_SH: "Shanghai Futures Exchange",
  386. DATA_SOURCE_CFFEX: "China Financial Futures Exchange",
  387. DATA_SOURCE_SHFE: "Shanghai International Energy Exchange",
  388. DATA_SOURCE_GIE: "Eurostat",
  389. DATA_SOURCE_COAL: "China Coal Transport & Distribution Association",
  390. DATA_SOURCE_GOOGLE_TRAVEL: "Our World in Data",
  391. DATA_SOURCE_EIA_STEO: "Energy Information Administration",
  392. DATA_SOURCE_COM_TRADE: "United Nations",
  393. DATA_SOURCE_SCI: "Sublime China Information",
  394. DATA_SOURCE_BAIINFO: "BAIINFO",
  395. DATA_SOURCE_MYSTEEL_CHEMICAL: "Horizon Insights",
  396. DATA_SOURCE_FUBAO: "FuBao",
  397. DATA_SOURCE_SCI_HQ: "SCI(hongqi)",
  398. }
  399. const (
  400. TelAreaCodeHome = "86" // 大陆区号
  401. )
  402. const (
  403. LdapInitPassword = "123456a" // 域用户初始密码
  404. )
  405. const (
  406. PercentCalculateTypeRange = 0 // 百分位算法类型-数据区间
  407. PercentCalculateTypeNum = 1 // 百分位算法类型-数据个数
  408. )
  409. // 语言版本
  410. const (
  411. ZhLangVersion = "zh" // 中文语言版本
  412. EnLangVersion = "en" // 英文语言版本
  413. )
  414. // 指标引用对象
  415. const (
  416. EDB_RELATION_CHART = 1 // 图表
  417. EDB_RELATION_SANDBOX = 2 // ETA逻辑
  418. EDB_RELATION_CALENDAR = 3 // 事件日历
  419. EDB_RELATION_TABLE = 4 // 表格
  420. )
  421. // 指标计算方式
  422. const (
  423. EdbBaseCalculateLjzzy = 1 // 累计值转月->1
  424. EdbBaseCalculateLjzzj = 2 // 累计值转季->2
  425. EdbBaseCalculateTbz = 3 // 同比值->3
  426. EdbBaseCalculateTcz = 4 // 同差值->4
  427. EdbBaseCalculateNszydpjjs = 5 // N数值移动平均数计算->5
  428. EdbBaseCalculateHbz = 6 // 环比值->6
  429. EdbBaseCalculateHcz = 7 // 环差值->7
  430. EdbBaseCalculateUpFrequency = 8 // 升频->8
  431. EdbBaseCalculateDownFrequency = 9 // 降频->9
  432. EdbBaseCalculateTimeShift = 10 // 时间移位->10
  433. EdbBaseCalculateCjjx = 11 // 超季节性->11
  434. EdbBaseCalculateAnnualized = 12 // 年化->12
  435. EdbBaseCalculateLjz = 13 // 累计值->13
  436. EdbBaseCalculateLjzNczj = 14 // 累计值年初至今->14
  437. EdbBaseCalculateExponentialSmoothing = 15 // 指数修匀->15
  438. EdbBaseCalculateRjz = 16 // 日均值->16
  439. )
  440. // MultiAddNum 批量插入的数据量
  441. const MultiAddNum = 500
  442. const (
  443. DateTypeOneWeek = 21 // 时间类型-近1周
  444. DateTypeOneMonth = 22 // 时间类型-近1月
  445. DateTypeTwoMonth = 23 // 时间类型-近2月
  446. DateTypeThreeMonth = 24 // 时间类型-近3月
  447. DateTypeNMonth = 25 // 时间类型-近N月
  448. )
  449. const (
  450. SourceNameTradeAnalysis = "持仓分析"
  451. )
  452. // 基础数据初始化日期
  453. var (
  454. BASE_START_DATE = `1900-01-01` //基础数据开始日期
  455. BASE_END_DATE = time.Now().AddDate(4, 0, 0).Format(FormatDate) //基础数据结束日期
  456. BASE_START_DATE_UnSpace = "19000101" //基础数据开始日期
  457. BASE_END_DATE_UnSpace = time.Now().AddDate(4, 0, 0).Format(FormatDateUnSpace) //基础数据结束日期
  458. )