constants.go 17 KB

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  1. package utils
  2. // 常量定义
  3. const (
  4. FormatTime = "15:04:05" //时间格式
  5. FormatDate = "2006-01-02" //日期格式
  6. FormatDateCN = "2006年01月02日" //日期格式(中文)
  7. FormatDateUnSpace = "20060102" //日期格式
  8. FormatDateTime = "2006-01-02 15:04:05" //完整时间格式
  9. HlbFormatDateTime = "2006-01-02_15:04:05.999" //完整时间格式
  10. FormatDateTimeUnSpace = "20060102150405" //完整时间格式
  11. PageSize15 = 15 //列表页每页数据量
  12. PageSize5 = 5
  13. PageSize10 = 10
  14. PageSize20 = 20
  15. PageSize30 = 30
  16. )
  17. // 手机号,电子邮箱正则
  18. const (
  19. 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
  20. RegularEmail = `\w+([-+.]\w+)*@\w+([-.]\w+)*\.\w+([-.]\w+)*` //匹配电子邮箱
  21. )
  22. const (
  23. APPNAME = "弘则研报"
  24. EmailSendToUsers = "317699326@qq.com;984198890@qq.com;hsun@hzinsights.com;xyxie@hzinsights.com"
  25. )
  26. // 聚合短信
  27. var (
  28. JhGnTplId = "65692" //聚合国内模板编码
  29. JhGjTplId = "10054" //聚合国内模板编码
  30. JhGnAppKey = "4c8504c49dd335e99cfd7b6a3a9e2415" //聚合国内AppKey
  31. JhGjAppKey = "3326ad2c1047a4cd92ace153e6044ca3"
  32. )
  33. const (
  34. key = "zDeESsxsXuionhqSLZYHWcDJ" //全局加密KEY
  35. )
  36. // 数据来源渠道
  37. const (
  38. DATA_SOURCE_THS = iota + 1 //同花顺
  39. DATA_SOURCE_WIND //wind
  40. DATA_SOURCE_PB //彭博
  41. DATA_SOURCE_CALCULATE //指标运算
  42. DATA_SOURCE_CALCULATE_LJZZY //累计值转月
  43. DATA_SOURCE_CALCULATE_TBZ //同比值
  44. DATA_SOURCE_CALCULATE_TCZ //同差值
  45. DATA_SOURCE_CALCULATE_NSZYDPJJS //N数值移动平均计算
  46. DATA_SOURCE_MANUAL //手工指标
  47. DATA_SOURCE_LZ //隆众
  48. DATA_SOURCE_YS //有色
  49. DATA_SOURCE_CALCULATE_HBZ //环比值->12
  50. DATA_SOURCE_CALCULATE_HCZ //环差值->13
  51. DATA_SOURCE_CALCULATE_BP //变频->14
  52. DATA_SOURCE_GL //钢联->15
  53. DATA_SOURCE_ZZ //郑商所->16
  54. DATA_SOURCE_DL //大商所->17
  55. DATA_SOURCE_SH //上期所->18
  56. DATA_SOURCE_CFFEX //中金所->19
  57. DATA_SOURCE_SHFE //上期能源->20
  58. DATA_SOURCE_GIE //欧洲天然气->21
  59. DATA_SOURCE_CALCULATE_TIME_SHIFT //时间移位->22
  60. DATA_SOURCE_CALCULATE_ZJPJ //直接拼接->23
  61. DATA_SOURCE_CALCULATE_LJZTBPJ //累计值同比拼接->24
  62. DATA_SOURCE_LT //路透->25
  63. DATA_SOURCE_COAL //中国煤炭网->26
  64. DATA_SOURCE_PYTHON //python代码->27
  65. DATA_SOURCE_PB_FINANCE //彭博财务数据->28
  66. DATA_SOURCE_GOOGLE_TRAVEL //谷歌出行->29
  67. DATA_SOURCE_PREDICT //普通预测指标->30
  68. DATA_SOURCE_PREDICT_CALCULATE //预测指标运算->31
  69. DATA_SOURCE_PREDICT_CALCULATE_TBZ //预测指标同比值->32
  70. DATA_SOURCE_PREDICT_CALCULATE_TCZ //预测指标同差值->33
  71. DATA_SOURCE_MYSTEEL_CHEMICAL //钢联化工->34
  72. DATA_SOURCE_CALCULATE_CJJX //超季节性->35
  73. DATA_SOURCE_EIA_STEO //eia steo报告->36
  74. DATA_SOURCE_CALCULATE_NHCC //计算指标(拟合残差)->37
  75. DATA_SOURCE_COM_TRADE //联合国商品贸易数据->38
  76. DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS //预测指标 - N数值移动平均计算 -> 39
  77. DATA_SOURCE_CALCULATE_ADJUST //数据调整->40
  78. DATA_SOURCE_SCI //卓创数据(红桃三)-> 41
  79. DATA_SOURCE_PREDICT_CALCULATE_LJZZY //预测指标 - 累计值转月->42
  80. DATA_SOURCE_PREDICT_CALCULATE_HBZ //预测指标 - 环比值->43
  81. DATA_SOURCE_PREDICT_CALCULATE_HCZ //预测指标 - 环差值->44
  82. DATA_SOURCE_PREDICT_CALCULATE_BP //预测指标 - 变频->45
  83. DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT //预测指标 - 时间移位->46
  84. DATA_SOURCE_PREDICT_CALCULATE_ZJPJ //预测指标 - 直接拼接->47
  85. DATA_SOURCE_PREDICT_CALCULATE_LJZTBPJ //预测指标 - 累计值同比拼接->48
  86. DATA_SOURCE_PREDICT_CALCULATE_CJJX //预测指标 - 超季节性->49
  87. DATA_SOURCE_PREDICT_CALCULATE_NHCC //预测指标 - 计算指标(拟合残差)->50
  88. DATA_SOURCE_CALCULATE_JP //降频->51
  89. DATA_SOURCE_CALCULATE_NH //年化->52
  90. DATA_SOURCE_CALCULATE_KSZS //扩散指数->53
  91. DATA_SOURCE_PREDICT_CALCULATE_JP //预测指标 - 计算指标(降频)->54
  92. DATA_SOURCE_PREDICT_CALCULATE_NH //预测指标 - 计算指标(年化)->55
  93. DATA_SOURCE_PREDICT_CALCULATE_KSZS //预测指标 - 计算指标(扩散指数)->56
  94. DATA_SOURCE_BAIINFO //百川盈孚 ->57
  95. DATA_SOURCE_STOCK_PLANT //存量装置 ->58
  96. DATA_SOURCE_CALCULATE_CORRELATION //相关性计算->59
  97. DATA_SOURCE_NATIONAL_STATISTICS //国家统计局->60
  98. DATA_SOURCE_CALCULATE_LJZZJ //累计值转季 -> 61
  99. DATA_SOURCE_CALCULATE_LJZ //累计值 -> 62
  100. DATA_SOURCE_CALCULATE_LJZNCZJ //累计值(年初至今) -> 63
  101. DATA_SOURCE_PREDICT_CALCULATE_LJZZJ //预测指标 - 累计值转季->64
  102. DATA_SOURCE_PREDICT_CALCULATE_LJZ //预测指标 - 累计值 -> 65
  103. DATA_SOURCE_PREDICT_CALCULATE_LJZNCZJ //预测指标 - 累计值(年初至今) -> 66
  104. DATA_SOURCE_CALCULATE_STANDARD_DEVIATION //标准差->67
  105. DATA_SOURCE_CALCULATE_PERCENTILE //百分位->68
  106. DATA_SOURCE_PREDICT_CALCULATE_STANDARD_DEVIATION //预测标准差->69
  107. DATA_SOURCE_PREDICT_CALCULATE_PERCENTILE //预测百分位->70
  108. DATA_SOURCE_FUBAO //富宝数据->71
  109. )
  110. const (
  111. HZ_CHART_LIB_DETAIL = "HZ_CHART_LIB_DETAIL_"
  112. HONGZEYB_ = "hongze_yb:"
  113. )
  114. //var (
  115. // Hz_Server_Data_Url string //同花顺,万得接口服务地址(阿里云windows服务器地址)
  116. //)
  117. const (
  118. DATA_PREFIX = "hz_data"
  119. CHART_PREFIX = "hz_chart"
  120. )
  121. // 数据刷新频率
  122. const (
  123. DATA_REFRESH = 7 //7个单位,日/周/月/季度/年
  124. DATA_START_REFRESH_LIMIT = 7 //7个单位,日/周/月/季度/年
  125. DATA_END_DATE_LIMIT = 4 //数据结束日期为,当前日期,加上4年时间
  126. )
  127. const (
  128. Hz_Data_Url = "http://datawind.hzinsights.com:8040/" //同花顺,万得接口服务地址
  129. Hz_Data_PB_Url = "http://datapb.hzinsights.com:8040/" //彭博接口地址
  130. Hz_Data_LT_Url = "http://dataek.hzinsights.com:8040/" //路透社接口地址
  131. EDB_DATA_LIMIT = 10
  132. )
  133. var PermissionFiccClassifyArr = [...]string{"宏观经济", "化工产业", "建材产业", "有色产业"}
  134. // 缓存key
  135. const (
  136. CACHE_KEY_USER_VIEW = "user_view_record" //用户阅读数据
  137. )
  138. // es相关
  139. const (
  140. ES_INDEX_RDDP_REPORT = "research_report_v1" //报告
  141. )
  142. // EDB_LIB
  143. var (
  144. APP_EDB_LIB_NAME_EN = "hongze_edb_lib"
  145. EDB_LIB_Md5_KEY = "GuRaB6dY1bXOJcwG"
  146. )
  147. const ALIYUN_YBIMG_HOST = "https://hzstatic.hzinsights.com/static/yb_wx/"
  148. const HZ_DEFAULT_AVATAR = "https://hzstatic.hzinsights.com/static/yb_wx/hz_default_avatar.png"
  149. const HZPHONE = "057187186319" //弘则电话
  150. const HZ_ADMIN_WX_ACCESS_TOEKN = "hz_admin:wx:access_token:"
  151. // 模板消息推送类型
  152. const (
  153. TEMPLATE_MSG_YB_COMMUNITY_QUESTION = 11 //研报问答社区
  154. TEMPLATE_MSG_YB_VOICE_BROADCAST = 20 //研报语音播报
  155. )
  156. // 微信用户user_record注册平台
  157. const (
  158. USER_RECORD_PLATFORM_RDDP = iota + 1 // 日度点评公众号
  159. USER_RECORD_PLATFORM_BACKSTAGE // 管理后台
  160. USER_RECORD_PLATFORM_PC // PC端网站
  161. USER_RECORD_PLATFORM_CYGX // 查研观向小程序
  162. _
  163. USER_RECORD_PLATFORM_YB // 研报小程序
  164. )
  165. const (
  166. DEFAULT_HONGZE_USER_LOGO = "https://hzstatic.hzinsights.com/static/icon/hzyb/default_avatar.png" //个人中心默认头像、匿名用户留言默认头像
  167. DEFAULT_HONGZE_USER_LOGO_GRAY = "https://hzstatic.hzinsights.com/static/icon/hzyb/default_avatar_gray.png" //默认头像-未登录状态
  168. DEFAULT_HONGZE_SYS_LOGO = "https://hzstatic.hzinsights.com/static/yb_wx/hongze_sys_default_head.png" //弘则官方默认头像
  169. )
  170. const (
  171. AdminId = 11 //系统操作的用户id
  172. RealName = "超级管理员" //系统操作的用户名称
  173. HzCompanyId = 16 // 弘则研究公司ID
  174. )
  175. // 报告
  176. const (
  177. DEFAULT_REPORT_SHARE_BG_IMG = "https://hzstatic.hzinsights.com/static/icon/hzyb/rddp-share-bg.png" // 分享默认背景图
  178. )
  179. // SystemSourceList 系统来源
  180. var SystemSourceList = []int{
  181. DATA_SOURCE_CALCULATE, //指标运算
  182. DATA_SOURCE_CALCULATE_LJZZY, //累计值转月
  183. DATA_SOURCE_CALCULATE_TBZ, //同比值
  184. DATA_SOURCE_CALCULATE_TCZ, //同差值
  185. DATA_SOURCE_CALCULATE_NSZYDPJJS, //N数值移动平均计算
  186. DATA_SOURCE_MANUAL, //手工指标
  187. DATA_SOURCE_CALCULATE_HBZ, //环比值->12
  188. DATA_SOURCE_CALCULATE_HCZ, //环差值->13
  189. DATA_SOURCE_CALCULATE_BP, //变频->14
  190. DATA_SOURCE_CALCULATE_TIME_SHIFT, //时间移位->22
  191. DATA_SOURCE_CALCULATE_ZJPJ, //直接拼接->23
  192. DATA_SOURCE_CALCULATE_LJZTBPJ, //累计值同比拼接->24
  193. DATA_SOURCE_PYTHON, //python代码->27
  194. DATA_SOURCE_PREDICT, //预测指标->30
  195. DATA_SOURCE_PREDICT_CALCULATE, //预测指标运算->31
  196. DATA_SOURCE_PREDICT_CALCULATE_TBZ, //预测指标同比值->32
  197. DATA_SOURCE_PREDICT_CALCULATE_TCZ, //预测指标同差值->33
  198. DATA_SOURCE_MYSTEEL_CHEMICAL, //钢联化工->34
  199. DATA_SOURCE_CALCULATE_CJJX, //超季节性->35
  200. DATA_SOURCE_CALCULATE_NHCC, //计算指标(拟合残差)->37
  201. DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS, //预测指标 - N数值移动平均计算 -> 39
  202. DATA_SOURCE_CALCULATE_ADJUST, //数据调整->40
  203. DATA_SOURCE_PREDICT_CALCULATE_LJZZY, //预测指标 - 累计值转月->42
  204. DATA_SOURCE_PREDICT_CALCULATE_HBZ, //预测指标 - 环比值->43
  205. DATA_SOURCE_PREDICT_CALCULATE_HCZ, //预测指标 - 环差值->44
  206. DATA_SOURCE_PREDICT_CALCULATE_BP, //预测指标 - 变频->45
  207. DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT, //预测指标 - 时间移位->46
  208. DATA_SOURCE_PREDICT_CALCULATE_ZJPJ, //预测指标 - 直接拼接->47
  209. DATA_SOURCE_PREDICT_CALCULATE_LJZTBPJ, //预测指标 - 累计值同比拼接->48
  210. DATA_SOURCE_PREDICT_CALCULATE_CJJX, //预测指标 - 超季节性->49
  211. DATA_SOURCE_PREDICT_CALCULATE_NHCC, //预测指标 - 计算指标(拟合残差)->50
  212. DATA_SOURCE_CALCULATE_JP, //降频->51
  213. DATA_SOURCE_CALCULATE_NH, //年化->52
  214. DATA_SOURCE_CALCULATE_KSZS, //扩散指数->53
  215. DATA_SOURCE_PREDICT_CALCULATE_JP, //预测指标 - 计算指标(降频)->54
  216. DATA_SOURCE_PREDICT_CALCULATE_NH, //预测指标 - 计算指标(年化)->55
  217. DATA_SOURCE_PREDICT_CALCULATE_KSZS, //预测指标 - 计算指标(扩散指数)->56
  218. DATA_SOURCE_STOCK_PLANT, //存量装置 ->58
  219. DATA_SOURCE_CALCULATE_CORRELATION, //相关性计算->59
  220. DATA_SOURCE_NATIONAL_STATISTICS, //国家统计局->60
  221. DATA_SOURCE_CALCULATE_LJZZJ, //累计值转季 -> 61
  222. DATA_SOURCE_CALCULATE_LJZ, //累计值 -> 62
  223. DATA_SOURCE_CALCULATE_LJZNCZJ, //累计值(年初至今) -> 63
  224. DATA_SOURCE_PREDICT_CALCULATE_LJZZJ, //预测指标 - 累计值转季->64
  225. DATA_SOURCE_PREDICT_CALCULATE_LJZ, //预测指标 - 累计值 -> 65
  226. DATA_SOURCE_PREDICT_CALCULATE_LJZNCZJ, //预测指标 - 累计值(年初至今) -> 66
  227. DATA_SOURCE_CALCULATE_STANDARD_DEVIATION, //标准差->67
  228. DATA_SOURCE_CALCULATE_PERCENTILE, //百分位->68
  229. DATA_SOURCE_PREDICT_CALCULATE_STANDARD_DEVIATION, //预测标准差->69
  230. DATA_SOURCE_PREDICT_CALCULATE_PERCENTILE, //预测百分位->70
  231. }
  232. const (
  233. SendTemplateMsgAuthorization = "dc855fce962a639faa779cbdd4cd332f"
  234. )
  235. // 研报类型标识
  236. var (
  237. REPORT_TYPE_DAY = "day"
  238. REPORT_TYPE_WEEK = "week"
  239. )
  240. var REPORT_CHAPTER_TYPE_NAME_MAP = map[string]string{
  241. REPORT_TYPE_DAY: "晨报",
  242. REPORT_TYPE_WEEK: "周报",
  243. }
  244. const ALIYUN_OSS_HOST = "https://hzstatic.hzinsights.com"
  245. // 图表类型
  246. const (
  247. CHART_SOURCE_DEFAULT = 1
  248. CHART_SOURCE_FUTURE_GOOD = 2
  249. CHART_SOURCE_CORRELATION = 3 // 相关性图表
  250. CHART_SOURCE_ROLLING_CORRELATION = 4 // 滚动相关性图表
  251. CHART_SOURCE_FUTURE_GOOD_PROFIT = 5 // 商品利润曲线
  252. CHART_SOURCE_LINE_EQUATION = 6 // 拟合方程图表
  253. CHART_SOURCE_LINE_FEATURE_STANDARD_DEVIATION = 7 // 统计特征-标准差图表
  254. CHART_SOURCE_LINE_FEATURE_PERCENTILE = 8 // 统计特征-百分位图表
  255. CHART_SOURCE_LINE_FEATURE_FREQUENCY = 9 // 统计特征-频率分布图表
  256. )
  257. // 图表类型
  258. const (
  259. CHART_MULTIPLE_GRAPH_CURVE = 1 // 曲线图
  260. CHART_MULTIPLE_GRAPH_CORRELATION = 2 // 相关性图
  261. CHART_MULTIPLE_GRAPH_ROLLING_CORRELATION_ONE = 3 // 滚动相关性图1
  262. CHART_MULTIPLE_GRAPH_ROLLING_CORRELATION_TWO = 4 // 滚动相关性图2
  263. CHART_MULTIPLE_GRAPH_LINE_EQUATION_ONE = 5 // 拟合方程-斜率图
  264. CHART_MULTIPLE_GRAPH_LINE_EQUATION_TWO = 6 // 拟合方程-截距图
  265. CHART_MULTIPLE_GRAPH_LINE_EQUATION_THREE = 7 // 拟合方程-相关性图
  266. )
  267. // 图表样式类型
  268. const (
  269. CHART_TYPE_CURVE = 1 //曲线图
  270. CHART_TYPE_BAR = 7 //柱形图
  271. CHART_TYPE_SECTION_SCATTER = 10 //截面散点图样式
  272. )
  273. // FrequencyDaysMap 频度日期的map关系
  274. var FrequencyDaysMap = map[string]int{
  275. "天": 1, "周": 7, "月": 30, "季": 90, "年": 365,
  276. }
  277. // DataSourceEnMap 指标来源的英文名称
  278. var DataSourceEnMap = map[int]string{
  279. DATA_SOURCE_WIND: "Wind",
  280. DATA_SOURCE_THS: "iFind",
  281. DATA_SOURCE_PB: "Bloomberg",
  282. DATA_SOURCE_PB_FINANCE: "Bloomberg Finance",
  283. DATA_SOURCE_LT: "Reuters",
  284. DATA_SOURCE_MANUAL: "Horizon Insights",
  285. DATA_SOURCE_LZ: "OilChem",
  286. DATA_SOURCE_YS: "SMM",
  287. DATA_SOURCE_GL: "MySteel",
  288. DATA_SOURCE_ZZ: "Zhengzhou Commodity Exchange",
  289. DATA_SOURCE_DL: "Dalian Commodity Exchange",
  290. DATA_SOURCE_SH: "Shanghai Futures Exchange",
  291. DATA_SOURCE_CFFEX: "China Financial Futures Exchange",
  292. DATA_SOURCE_SHFE: "Shanghai International Energy Exchange",
  293. DATA_SOURCE_GIE: "Eurostat",
  294. DATA_SOURCE_COAL: "China Coal Transport & Distribution Association",
  295. DATA_SOURCE_GOOGLE_TRAVEL: "Our World in Data",
  296. DATA_SOURCE_EIA_STEO: "Energy Information Administration",
  297. DATA_SOURCE_COM_TRADE: "United Nations",
  298. DATA_SOURCE_SCI: "Sublime China Information",
  299. DATA_SOURCE_BAIINFO: "BAIINFO",
  300. DATA_SOURCE_MYSTEEL_CHEMICAL: "Horizon Insights",
  301. }