constants.go 22 KB

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  1. package utils
  2. import "time"
  3. // 常量定义
  4. const (
  5. FormatTime = "15:04:05" //时间格式
  6. FormatDate = "2006-01-02" //日期格式
  7. FormatDateUnSpace = "20060102" //日期格式
  8. FormatDateTime = "2006-01-02 15:04:05" //完整时间格式
  9. FormatDateTimeMinute = "2006-01-02 15:04" //完整时间格式
  10. HlbFormatDateTime = "2006-01-02_15:04:05.999" //完整时间格式
  11. FormatDateTimeUnSpace = "20060102150405" //完整时间格式
  12. FormatShortDateTimeUnSpace = "060102150405" //省去开头两位年份的时间格式
  13. FormatYearMonthDate = "2006-01" //日期格式
  14. FormatYearMonthUnSpace = "200601" //年月的日期格式
  15. PageSize15 = 15 //列表页每页数据量
  16. PageSize5 = 5
  17. PageSize10 = 10
  18. PageSize20 = 20
  19. PageSize30 = 30
  20. )
  21. // 数据来源渠道
  22. const (
  23. DATA_SOURCE_THS = iota + 1 //同花顺
  24. DATA_SOURCE_WIND //wind
  25. DATA_SOURCE_PB //彭博
  26. DATA_SOURCE_CALCULATE //指标运算
  27. DATA_SOURCE_CALCULATE_LJZZY //累计值转月
  28. DATA_SOURCE_CALCULATE_TBZ //同比值
  29. DATA_SOURCE_CALCULATE_TCZ //同差值
  30. DATA_SOURCE_CALCULATE_NSZYDPJJS //N数值移动平均计算
  31. DATA_SOURCE_MANUAL //手工指标
  32. DATA_SOURCE_LZ //隆众
  33. DATA_SOURCE_YS //有色
  34. DATA_SOURCE_CALCULATE_HBZ //环比值->12
  35. DATA_SOURCE_CALCULATE_HCZ //环差值->13
  36. DATA_SOURCE_CALCULATE_BP //变频->14
  37. DATA_SOURCE_GL //钢联->15
  38. DATA_SOURCE_ZZ //郑商所->16
  39. DATA_SOURCE_DL //大商所->17
  40. DATA_SOURCE_SH //上期所->18
  41. DATA_SOURCE_CFFEX //中金所->19
  42. DATA_SOURCE_SHFE //上期能源->20
  43. DATA_SOURCE_GIE //欧洲天然气->21
  44. DATA_SOURCE_CALCULATE_TIME_SHIFT //时间移位->22
  45. DATA_SOURCE_CALCULATE_ZJPJ //直接拼接->23
  46. DATA_SOURCE_CALCULATE_LJZTBPJ //累计值同比拼接->24
  47. DATA_SOURCE_LT //路透->25
  48. DATA_SOURCE_COAL //煤炭网->26
  49. DATA_SOURCE_PYTHON //python代码->27
  50. DATA_SOURCE_PB_FINANCE //彭博财务数据->28
  51. DATA_SOURCE_GOOGLE_TRAVEL //谷歌出行数据->29
  52. DATA_SOURCE_PREDICT //普通预测指标->30
  53. DATA_SOURCE_PREDICT_CALCULATE //预测指标运算->31
  54. DATA_SOURCE_PREDICT_CALCULATE_TBZ //预测指标 - 同比值->32
  55. DATA_SOURCE_PREDICT_CALCULATE_TCZ //预测指标 - 同差值->33
  56. DATA_SOURCE_MYSTEEL_CHEMICAL //钢联化工->34
  57. DATA_SOURCE_CALCULATE_CJJX //超季节性->35
  58. DATA_SOURCE_EIA_STEO //eia steo报告->36
  59. DATA_SOURCE_CALCULATE_NHCC //计算指标(拟合残差)->37
  60. DATA_SOURCE_COM_TRADE //联合国商品贸易数据->38
  61. DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS //预测指标 - N数值移动平均计算 -> 39
  62. DATA_SOURCE_CALCULATE_ADJUST //数据调整->40
  63. DATA_SOURCE_SCI //卓创数据(红桃三)->41
  64. DATA_SOURCE_PREDICT_CALCULATE_LJZZY //预测指标 - 累计值转月->42
  65. DATA_SOURCE_PREDICT_CALCULATE_HBZ //预测指标 - 环比值->43
  66. DATA_SOURCE_PREDICT_CALCULATE_HCZ //预测指标 - 环差值->44
  67. DATA_SOURCE_PREDICT_CALCULATE_BP //预测指标 - 变频->45
  68. DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT //预测指标 - 时间移位->46
  69. DATA_SOURCE_PREDICT_CALCULATE_ZJPJ //预测指标 - 直接拼接->47
  70. DATA_SOURCE_PREDICT_CALCULATE_LJZTBPJ //预测指标 - 累计值同比拼接->48
  71. DATA_SOURCE_PREDICT_CALCULATE_CJJX //预测指标 - 超季节性->49
  72. DATA_SOURCE_PREDICT_CALCULATE_NHCC //预测指标 - 计算指标(拟合残差)->50
  73. DATA_SOURCE_CALCULATE_JP //降频->51
  74. DATA_SOURCE_CALCULATE_NH //年化->52
  75. DATA_SOURCE_CALCULATE_KSZS //扩散指数->53
  76. DATA_SOURCE_PREDICT_CALCULATE_JP //预测指标 - 计算指标(降频)->54
  77. DATA_SOURCE_PREDICT_CALCULATE_NH //预测指标 - 计算指标(年化)->55
  78. DATA_SOURCE_PREDICT_CALCULATE_KSZS //预测指标 - 计算指标(扩散指数)->56
  79. DATA_SOURCE_BAIINFO //百川盈孚 ->57
  80. DATA_SOURCE_STOCK_PLANT //存量装置 ->58
  81. DATA_SOURCE_CALCULATE_CORRELATION //相关性计算->59
  82. DATA_SOURCE_NATIONAL_STATISTICS //国家统计局->60
  83. DATA_SOURCE_CALCULATE_LJZZJ //累计值转季 -> 61
  84. DATA_SOURCE_CALCULATE_LJZ //累计值 -> 62
  85. DATA_SOURCE_CALCULATE_LJZNCZJ //累计值(年初至今) -> 63
  86. DATA_SOURCE_PREDICT_CALCULATE_LJZZJ //预测指标 - 累计值转季->64
  87. DATA_SOURCE_PREDICT_CALCULATE_LJZ //预测指标 - 累计值 -> 65
  88. DATA_SOURCE_PREDICT_CALCULATE_LJZNCZJ //预测指标 - 累计值(年初至今) -> 66
  89. DATA_SOURCE_CALCULATE_STANDARD_DEVIATION //标准差->67
  90. DATA_SOURCE_CALCULATE_PERCENTILE //百分位->68
  91. DATA_SOURCE_PREDICT_CALCULATE_STANDARD_DEVIATION //预测标准差->69
  92. DATA_SOURCE_PREDICT_CALCULATE_PERCENTILE //预测百分位->70
  93. DATA_SOURCE_FUBAO //富宝数据->71
  94. DATA_SOURCE_CALCULATE_ZSXY // 指数修匀->72
  95. DATA_SOURCE_PREDICT_CALCULATE_ZSXY // 预测指数修匀->73
  96. DATA_SOURCE_CALCULATE_ZDYFX // 自定义分析->74
  97. DATA_SOURCE_CALCULATE_RJZ // 日均值计算->75
  98. DATA_SOURCE_YONYI = 76 //涌益咨询
  99. DATA_SOURCE_FENWEI = 77 //汾渭煤炭
  100. DATA_SOURCE_GFEX = 78 // 广州期货交易所->78
  101. DATA_SOURCE_ICPI = 79 // ICPI消费价格指数->79
  102. DATA_SOURCE_MTJH = 80 // 煤炭江湖->80
  103. DATA_SOURCE_CALCULATE_SUM = 81
  104. DATA_SOURCE_CALCULATE_AVG = 82
  105. DATA_SOURCE_BLOOMBERG = 83 // bloomberg彭博数据
  106. DATA_SOURCE_BUSINESS = 84 // 来源于自有数据
  107. DATA_SOURCE_SCI99 = 85 // 卓创资讯
  108. DATA_SOURCE_CCF = 86 // CCF化纤信息
  109. DATA_SOURCE_CALCULATE_RANGEANLYSIS = 87 //区间计算->87
  110. DATA_SOURCE_SCI_HQ = 88 // 卓创红期->88
  111. DATA_SOURCE_OILCHEM = 89 // 隆众资讯 -> 89
  112. DATA_SOURCE_PREDICT_CALCULATE_RANGEANLYSIS = 90 // 预测指标区间计算->90
  113. )
  114. // 指标来源的中文展示
  115. const (
  116. DATA_SOURCE_NAME_THS = `同花顺` //同花顺
  117. DATA_SOURCE_NAME_WIND = `wind` //wind
  118. DATA_SOURCE_NAME_PB = `彭博` //彭博
  119. DATA_SOURCE_NAME_CALCULATE = `指标运算` //指标运算
  120. DATA_SOURCE_NAME_CALCULATE_LJZZY = `累计值转月值` //累计值转月
  121. DATA_SOURCE_NAME_CALCULATE_TBZ = `同比值` //同比值
  122. DATA_SOURCE_NAME_CALCULATE_TCZ = `同差值` //同差值
  123. DATA_SOURCE_NAME_CALCULATE_NSZYDPJJS = `N数值移动平均计算` //N数值移动平均计算
  124. DATA_SOURCE_NAME_MANUAL = `手工数据` //手工指标
  125. DATA_SOURCE_NAME_LZ = `隆众` //隆众
  126. DATA_SOURCE_NAME_YS = `SMM` //有色
  127. DATA_SOURCE_NAME_CALCULATE_HBZ = `环比值` //环比值->12
  128. DATA_SOURCE_NAME_CALCULATE_HCZ = `环差值` //环差值->13
  129. DATA_SOURCE_NAME_CALCULATE_BP = `升频` //变频,2023-2-10 13:56:01调整为"升频"->14
  130. DATA_SOURCE_NAME_GL = `钢联` //钢联->15
  131. DATA_SOURCE_NAME_ZZ = `郑商所` //郑商所->16
  132. DATA_SOURCE_NAME_DL = `大商所` //大商所->17
  133. DATA_SOURCE_NAME_SH = `上期所` //上期所->18
  134. DATA_SOURCE_NAME_CFFEX = `中金所` //中金所->19
  135. DATA_SOURCE_NAME_SHFE = `上期能源` //上期能源->20
  136. DATA_SOURCE_NAME_GIE = `欧洲天然气` //欧洲天然气->21
  137. DATA_SOURCE_NAME_CALCULATE_TIME_SHIFT = `时间移位` //时间移位->22
  138. DATA_SOURCE_NAME_CALCULATE_ZJPJ = `直接拼接` //直接拼接->23
  139. DATA_SOURCE_NAME_CALCULATE_LJZTBPJ = `累计值同比拼接` //累计值同比拼接->24
  140. DATA_SOURCE_NAME_LT = `路透` //路透->25
  141. DATA_SOURCE_NAME_COAL = `中国煤炭市场网` //中国煤炭市场网->26
  142. DATA_SOURCE_NAME_PYTHON = `代码运算` //python代码->27
  143. DATA_SOURCE_NAME_PB_FINANCE = `彭博财务` //彭博财务数据->28
  144. DATA_SOURCE_NAME_GOOGLE_TRAVEL = `our world in data` //谷歌出行数据->29
  145. DATA_SOURCE_NAME_PREDICT = `预测指标` //普通预测指标->30
  146. DATA_SOURCE_NAME_PREDICT_CALCULATE = `预测指标运算` //预测指标运算->31
  147. DATA_SOURCE_NAME_PREDICT_CALCULATE_TBZ = `预测同比` //预测指标 - 同比值->32
  148. DATA_SOURCE_NAME_PREDICT_CALCULATE_TCZ = `预测同差` //预测指标 - 同差值->33
  149. DATA_SOURCE_NAME_MYSTEEL_CHEMICAL = `钢联化工` //钢联化工->34
  150. DATA_SOURCE_NAME_CALCULATE_CJJX = `超季节性` //超季节性->35
  151. DATA_SOURCE_NAME_EIA_STEO = `EIA STERO报告` //eia stero报告->36
  152. DATA_SOURCE_NAME_CALCULATE_NHCC = `拟合残差` //计算指标(拟合残差)->37
  153. DATA_SOURCE_NAME_COM_TRADE = `UN` //联合国商品贸易数据->38
  154. DATA_SOURCE_NAME_PREDICT_CALCULATE_NSZYDPJJS = `预测N数值移动平均计算` //预测指标 - N数值移动平均计算 -> 39
  155. DATA_SOURCE_NAME_CALCULATE_ADJUST = `数据调整` //数据调整->40
  156. DATA_SOURCE_NAME_SCI = `SCI` //卓创数据(红桃三)->41
  157. DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZZY = `预测累计值转月值` //预测指标 - 累计值转月->42
  158. DATA_SOURCE_NAME_PREDICT_CALCULATE_HBZ = `预测环比值` //预测指标 - 环比值->43
  159. DATA_SOURCE_NAME_PREDICT_CALCULATE_HCZ = `预测环差值` //预测指标 - 环差值->44
  160. DATA_SOURCE_NAME_PREDICT_CALCULATE_BP = `预测升频` //预测指标 - 升频->45
  161. DATA_SOURCE_NAME_PREDICT_CALCULATE_TIME_SHIFT = `预测时间移位` //预测指标 - 时间移位->46
  162. DATA_SOURCE_NAME_PREDICT_CALCULATE_ZJPJ = `预测直接拼接` //预测指标 - 直接拼接->47
  163. DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZTBPJ = `预测累计值同比拼接` //预测指标 - 累计值同比拼接->48
  164. DATA_SOURCE_NAME_PREDICT_CALCULATE_CJJX = `预测超季节性` //预测指标 - 超季节性->49
  165. DATA_SOURCE_NAME_PREDICT_CALCULATE_NHCC = `预测拟合残差` //预测指标 - 计算指标(拟合残差)->50
  166. DATA_SOURCE_NAME_CALCULATE_JP = `降频` //降频->51
  167. DATA_SOURCE_NAME_CALCULATE_NH = `年化` //年化->52
  168. DATA_SOURCE_NAME_CALCULATE_KSZS = `扩散指数` //扩散指数->53
  169. DATA_SOURCE_NAME_PREDICT_CALCULATE_JP = `预测降频` //预测指标 - 计算指标(降频)->54
  170. DATA_SOURCE_NAME_PREDICT_CALCULATE_NH = `预测年化` //预测指标 - 计算指标(年化)->55
  171. DATA_SOURCE_NAME_PREDICT_CALCULATE_KSZS = `预测扩散指数` //预测指标 - 计算指标(扩散指数)->56
  172. DATA_SOURCE_NAME_BAIINFO = `百川盈孚` //百川盈孚 ->57
  173. DATA_SOURCE_NAME_STOCK_PLANT = `存量装置` //存量装置 ->58
  174. DATA_SOURCE_NAME_CALCULATE_CORRELATION = `相关性计算` //相关性计算->59
  175. DATA_SOURCE_NAME_NATIONAL_STATISTICS = `国家统计局` //国家统计局->60
  176. DATA_SOURCE_NAME_CALCULATE_LJZZJ = `累计值转季值` //累计值转季 -> 61
  177. DATA_SOURCE_NAME_CALCULATE_LJZ = `累计值` //累计值 -> 62
  178. DATA_SOURCE_NAME_CALCULATE_LJZNCZJ = `年初至今累计值` //累计值(年初至今) -> 63
  179. DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZZJ = `预测累计值转季值` //预测指标 - 累计值转季->64
  180. DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZ = `预测累计值` //预测指标 - 累计值 -> 65
  181. DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZNCZJ = `预测年初至今累计值` //预测指标 - 累计值(年初至今) -> 66
  182. DATA_SOURCE_NAME_CALCULATE_STANDARD_DEVIATION = `标准差` //标准差->67
  183. DATA_SOURCE_NAME_CALCULATE_PERCENTILE = `百分位` //百分位->68
  184. DATA_SOURCE_NAME_PREDICT_CALCULATE_STANDARD_DEVIATION = `预测标准差` //预测标准差->69
  185. DATA_SOURCE_NAME_PREDICT_CALCULATE_PERCENTILE = `预测百分位` //预测百分位->70
  186. DATA_SOURCE_NAME_FUBAO = `富宝数据` //富宝数据->71
  187. DATA_SOURCE_NAME_CALCULATE_ZSXY = `指数修匀` //指数修匀->72
  188. DATA_SOURCE_NAME_PREDICT_CALCULATE_ZSXY = `预测指数修匀` //预测指数修匀->73
  189. DATA_SOURCE_NAME_CALCULATE_ZDYFX = `自定义分析` //自定义分析->74
  190. DATA_SOURCE_NAME_YONYI = `涌益咨询` // 涌益咨询
  191. DATA_SOURCE_NAME_FENWEI = `汾渭数据` // 汾渭煤炭
  192. DATA_SOURCE_NAME_MTJH = `煤炭江湖` // 煤炭江湖->80
  193. DATA_SOURCE_NAME_ICPI = "ICPI消费价格指数"
  194. DATA_SOURCE_NAME_CALCULATE_SUM = `多指标求和`
  195. DATA_SOURCE_NAME_CALCULATE_AVG = `多指标求平均`
  196. DATA_SOURCE_NAME_BUSINESS = `自有数据`
  197. DATA_SOURCE_NAME_CCF = `CCF` // CCF化纤信息
  198. DATA_SOURCE_NAME_SCI_HQ = `卓创红期` // 卓创红期
  199. DATA_SOURCE_NAME_OILCHEM = `隆众资讯` // 隆众资讯 -> 89
  200. DATA_SOURCE_NAME_CALCULATE_RANGEANLYSIS = `区间计算` //区间计算->87
  201. DATA_SOURCE_NAME_PREDICT_CALCULATE_RANGEANLYSIS = `预测区间计算` //区间计算->90
  202. )
  203. // 基础数据初始化日期
  204. var (
  205. BASE_START_DATE = `1900-01-01` //基础数据开始日期
  206. BASE_END_DATE = time.Now().AddDate(4, 0, 0).Format(FormatDate) //基础数据结束日期
  207. BASE_START_DATE_UnSpace = "19000101" //基础数据开始日期
  208. BASE_END_DATE_UnSpace = time.Now().AddDate(4, 0, 0).Format(FormatDateUnSpace) //基础数据结束日期
  209. )
  210. const (
  211. DATA_PREFIX = "hz_data"
  212. CHART_PREFIX = "hz_chart"
  213. )
  214. // 数据刷新频率
  215. const (
  216. DATA_REFRESH = 7 //7个单位,日/周/月/季度/年
  217. DATA_END_DATE_LIMIT = 4 //数据结束日期为,当前日期,加上4年时间
  218. )
  219. const (
  220. CACHE_EDB_DATA_ADD = "CACHE_EDB_DATA_ADD_"
  221. CACHE_EDB_DATA_EDIT = "CACHE_EDB_DATA_EDIT_"
  222. CACHE_EDB_DATA_REFRESH = "CACHE_EDB_DATA_REFRESH_"
  223. CACHE_WIND_URL = "CACHE_WIND_URL"
  224. CACHE_CHART_INFO_DATA = "chart:info:data:" //图表数据
  225. CACHE_STOCK_PLANT_CALCULATE = "CACHE_STOCK_PLANT_CALCULATE_" // 库存装置减产计算
  226. CACHE_EDB_TERMINAL_CODE_URL = "edb:terminal_code:edb_code:" // 指标与终端关系的缓存
  227. CACHE_EDB_TERMINAL_CODE_GOOD_URL = "edb:terminal_code:good:edb_code:" // 指标与终端关系的缓存, 商品期货
  228. CACHE_EDB_THS_SERVER_TOKEN = "edb:ths_server_token:" //同花顺调用凭证
  229. CACHE_SELF_EDB_HANDLE = "CACHE_SELF_EDB_HANDLE:" // 自定义指标缓存
  230. CACHE_BASE_EDB_ADD = "CACHE_BASE_EDB_ADD_" // 添加至数据源缓存
  231. CACHE_BASE_EDB_REFRESH = "CACHE_BASE_EDB_REFRESH_" // 刷新数据源缓存
  232. )
  233. // 图表类型
  234. const (
  235. CHART_SOURCE_DEFAULT = 1
  236. CHART_SOURCE_FUTURE_GOOD = 2
  237. CHART_SOURCE_CORRELATION = 3 // 相关性图表
  238. CHART_SOURCE_ROLLING_CORRELATION = 4 // 滚动相关性图表
  239. CHART_SOURCE_FUTURE_GOOD_PROFIT = 5 // 商品利润曲线
  240. )
  241. // MonthQuarterMap 月份与季度的map
  242. var MonthQuarterMap = map[int]int{
  243. 1: 1,
  244. 2: 1,
  245. 3: 1,
  246. 4: 2,
  247. 5: 2,
  248. 6: 2,
  249. 7: 3,
  250. 8: 3,
  251. 9: 3,
  252. 10: 4,
  253. 11: 4,
  254. 12: 4,
  255. }
  256. // FrequencyDaysMap 频度日期的map关系
  257. var FrequencyDaysMap = map[string]int{
  258. "天": 1, "周": 7, "月": 30, "季": 90, "年": 365,
  259. }
  260. var (
  261. HZ_TRIAL_BUSSINESS_CODE = "E2023080700" //商家试用平台
  262. )
  263. // 指标类型:1:基础指标,2:计算指标
  264. const (
  265. DEFAULT_EDB_TYPE = 1 //基础指标
  266. CALCULATE_EDB_TYPE = 2 //计算指标
  267. )
  268. // 指标类型
  269. const (
  270. EDB_INFO_TYPE = 0 //指标类型 0:普通指标
  271. PREDICT_EDB_INFO_TYPE = 1 //指标类型 1:预测指标
  272. )
  273. // ETA表格
  274. const (
  275. EXCEL_DEFAULT = 1 // 自定义excel
  276. TIME_TABLE = 2 // 时间序列表格
  277. MIXED_TABLE = 3 // 混合表格
  278. CUSTOM_ANALYSIS_TABLE = 4 // 自定义分析表格
  279. )
  280. // 子数据来源渠道
  281. const (
  282. DATA_SUB_SOURCE_EDB = iota //经济数据库
  283. DATA_SUB_SOURCE_DATE //日期序列
  284. DATA_SUB_SOURCE_HIGH_FREQUENCY //高频数据
  285. )
  286. // 语言版本
  287. const (
  288. ZhLangVersion = "zh" // 中文语言版本
  289. EnLangVersion = "en" // 英文语言版本
  290. )
  291. const (
  292. PercentCalculateTypeRange = 0 // 百分位算法类型-数据区间
  293. PercentCalculateTypeNum = 1 // 百分位算法类型-数据个数
  294. )
  295. const (
  296. WindDbWsd = "wsd"
  297. ThsDs = "thsds"
  298. ThsHf = "thshf"
  299. )
  300. // 指标计算方式
  301. const (
  302. EdbBaseCalculateLjzzy = 1 // 累计值转月->1
  303. EdbBaseCalculateLjzzj = 2 // 累计值转季->2
  304. EdbBaseCalculateTbz = 3 // 同比值->3
  305. EdbBaseCalculateTcz = 4 // 同差值->4
  306. EdbBaseCalculateNszydpjjs = 5 // N数值移动平均数计算->5
  307. EdbBaseCalculateHbz = 6 // 环比值->6
  308. EdbBaseCalculateHcz = 7 // 环差值->7
  309. EdbBaseCalculateUpFrequency = 8 // 升频->8
  310. EdbBaseCalculateDownFrequency = 9 // 降频->9
  311. EdbBaseCalculateTimeShift = 10 // 时间移位->10
  312. EdbBaseCalculateCjjx = 11 // 超季节性->11
  313. EdbBaseCalculateAnnualized = 12 // 年化->12
  314. EdbBaseCalculateLjz = 13 // 累计值->13
  315. EdbBaseCalculateLjzNczj = 14 // 累计值年初至今->14
  316. EdbBaseCalculateExponentialSmoothing = 15 // 指数修匀->15
  317. EdbBaseCalculateRjz = 16 // 日均值->16
  318. )