package utils import ( "io/fs" "time" ) // 常量定义 const ( FormatTime = "15:04:05" //时间格式 FormatDate = "2006-01-02" //日期格式 FormatDateUnSpace = "20060102" //日期格式 FormatDateTime = "2006-01-02 15:04:05" //完整时间格式 HlbFormatDateTime = "2006-01-02_15:04:05.999" //完整时间格式 FormatDateTimeUnSpace = "20060102150405" //完整时间格式 FormatShortDateTimeUnSpace = "060102150405" //省去开头两位年份的时间格式 FormatYearMonthDate = "2006-01" //日期格式 FormatYearMonthUnSpace = "200601" //年月的日期格式 PageSize15 = 15 //列表页每页数据量 PageSize5 = 5 PageSize10 = 10 PageSize20 = 20 PageSize30 = 30 ) const DateTypeNYears = 20 //时间类型为最近N年 // 数据来源渠道 const ( DATA_SOURCE_THS = iota + 1 //同花顺 DATA_SOURCE_WIND //wind->2 DATA_SOURCE_PB //彭博->3 DATA_SOURCE_CALCULATE //指标运算->4 DATA_SOURCE_CALCULATE_LJZZY //累计值转月->5 DATA_SOURCE_CALCULATE_TBZ //同比值->6 DATA_SOURCE_CALCULATE_TCZ //同差值->7 DATA_SOURCE_CALCULATE_NSZYDPJJS //N数值移动平均计算->8 DATA_SOURCE_MANUAL //手工指标->9 DATA_SOURCE_LZ //隆众->10 DATA_SOURCE_YS //有色->11 DATA_SOURCE_CALCULATE_HBZ //环比值->12 DATA_SOURCE_CALCULATE_HCZ //环差值->13 DATA_SOURCE_CALCULATE_BP //变频->14 DATA_SOURCE_GL //钢联->15 DATA_SOURCE_ZZ //郑商所->16 DATA_SOURCE_DL //大商所->17 DATA_SOURCE_SH //上期所->18 DATA_SOURCE_CFFEX //中金所->19 DATA_SOURCE_SHFE //上期能源->20 DATA_SOURCE_GIE //欧洲天然气->21 DATA_SOURCE_CALCULATE_TIME_SHIFT //时间移位->22 DATA_SOURCE_CALCULATE_ZJPJ //直接拼接->23 DATA_SOURCE_CALCULATE_LJZTBPJ //累计值同比拼接->24 DATA_SOURCE_LT //路透->25 DATA_SOURCE_COAL //中国煤炭市场网->26 DATA_SOURCE_PYTHON //python代码->27 DATA_SOURCE_PB_FINANCE //彭博财务数据->28 DATA_SOURCE_GOOGLE_TRAVEL //谷歌出行->29 DATA_SOURCE_PREDICT //普通预测指标->30 DATA_SOURCE_PREDICT_CALCULATE //预测指标运算->31 DATA_SOURCE_PREDICT_CALCULATE_TBZ //预测同比值->32 DATA_SOURCE_PREDICT_CALCULATE_TCZ //预测同差值->33 DATA_SOURCE_MYSTEEL_CHEMICAL //钢联化工->34 DATA_SOURCE_CALCULATE_CJJX //超季节性->35 DATA_SOURCE_EIA_STEO //eia steo报告->36 DATA_SOURCE_CALCULATE_NHCC //计算指标（拟合残差）->37 DATA_SOURCE_COM_TRADE //联合国商品贸易数据->38 DATA_SOURCE_PREDICT_CALCULATE_NSZYDPJJS //预测指标 - N数值移动平均计算 -> 39 DATA_SOURCE_CALCULATE_ADJUST //数据调整->40 DATA_SOURCE_SCI //卓创数据（红桃三）->41 DATA_SOURCE_PREDICT_CALCULATE_LJZZY //预测指标 - 累计值转月->42 DATA_SOURCE_PREDICT_CALCULATE_HBZ //预测指标 - 环比值->43 DATA_SOURCE_PREDICT_CALCULATE_HCZ //预测指标 - 环差值->44 DATA_SOURCE_PREDICT_CALCULATE_BP //预测指标 - 变频->45 DATA_SOURCE_PREDICT_CALCULATE_TIME_SHIFT //预测指标 - 时间移位->46 DATA_SOURCE_PREDICT_CALCULATE_ZJPJ //预测指标 - 直接拼接->47 DATA_SOURCE_PREDICT_CALCULATE_LJZTBPJ //预测指标 - 累计值同比拼接->48 DATA_SOURCE_PREDICT_CALCULATE_CJJX //预测指标 - 超季节性->49 DATA_SOURCE_PREDICT_CALCULATE_NHCC //预测指标 - 计算指标（拟合残差）->50 DATA_SOURCE_CALCULATE_JP //变频->51 DATA_SOURCE_CALCULATE_NH //年化->52 DATA_SOURCE_CALCULATE_KSZS //扩散指数->53 DATA_SOURCE_PREDICT_CALCULATE_JP //预测指标 - 计算指标(降频)->54 DATA_SOURCE_PREDICT_CALCULATE_NH //预测指标 - 计算指标(年化)->55 DATA_SOURCE_PREDICT_CALCULATE_KSZS //预测指标 - 计算指标(扩散指数)->56 DATA_SOURCE_BAIINFO //百川盈孚 ->57 DATA_SOURCE_STOCK_PLANT //存量装置 ->58 DATA_SOURCE_CALCULATE_CORRELATION //滚动相关性->59 DATA_SOURCE_NATIONAL_STATISTICS //国家统计局->60 DATA_SOURCE_CALCULATE_LJZZJ //累计值转季 -> 61 DATA_SOURCE_CALCULATE_LJZ //累计值 -> 62 DATA_SOURCE_CALCULATE_LJZNCZJ //累计值(年初至今） -> 63 DATA_SOURCE_PREDICT_CALCULATE_LJZZJ //预测指标 - 累计值转季->64 DATA_SOURCE_PREDICT_CALCULATE_LJZ //预测指标 - 累计值 -> 65 DATA_SOURCE_PREDICT_CALCULATE_LJZNCZJ //预测指标 - 累计值(年初至今） -> 66 DATA_SOURCE_CALCULATE_STANDARD_DEVIATION //标准差->67 DATA_SOURCE_CALCULATE_PERCENTILE //百分位图表->68 DATA_SOURCE_PREDICT_CALCULATE_STANDARD_DEVIATION //预测标准差->69 DATA_SOURCE_PREDICT_CALCULATE_PERCENTILE //预测百分位->70 DATA_SOURCE_FUBAO //富宝->71 DATA_SOURCE_CALCULATE_ZSXY // 指数修匀->72 DATA_SOURCE_PREDICT_CALCULATE_ZSXY // 预测指数修匀->73 DATA_SOURCE_CALCULATE_ZDYFX // 自定义分析->74 DATA_SOURCE_CALCULATE_RJZ // 日均值计算->75 DATA_SOURCE_GFEX = 78 // 广州期货交易所->78 DATA_SOURCE_ICPI = 79 // ICPI消费价格指数->79 ) // 子数据来源渠道 const ( DATA_SUB_SOURCE_EDB = iota //经济数据库 DATA_SUB_SOURCE_DATE //日期序列 ) // 指标来源的中文展示 const ( DATA_SOURCE_NAME_THS = `同花顺` //同花顺 DATA_SOURCE_NAME_WIND = `wind` //wind DATA_SOURCE_NAME_PB = `彭博` //彭博 DATA_SOURCE_NAME_CALCULATE = `指标运算` //指标运算 DATA_SOURCE_NAME_CALCULATE_LJZZY = `累计值转月值` //累计值转月 DATA_SOURCE_NAME_CALCULATE_TBZ = `同比值` //同比值 DATA_SOURCE_NAME_CALCULATE_TCZ = `同差值` //同差值 DATA_SOURCE_NAME_CALCULATE_NSZYDPJJS = `N数值移动平均计算` //N数值移动平均计算 DATA_SOURCE_NAME_MANUAL = `手工数据` //手工指标 DATA_SOURCE_NAME_LZ = `隆众` //隆众 DATA_SOURCE_NAME_YS = `SMM` //有色 DATA_SOURCE_NAME_CALCULATE_HBZ = `环比值` //环比值->12 DATA_SOURCE_NAME_CALCULATE_HCZ = `环差值` //环差值->13 DATA_SOURCE_NAME_CALCULATE_BP = `升频` //变频,2023-2-10 13:56:01调整为"升频"->14 DATA_SOURCE_NAME_GL = `钢联` //钢联->15 DATA_SOURCE_NAME_ZZ = `郑商所` //郑商所->16 DATA_SOURCE_NAME_DL = `大商所` //大商所->17 DATA_SOURCE_NAME_SH = `上期所` //上期所->18 DATA_SOURCE_NAME_CFFEX = `中金所` //中金所->19 DATA_SOURCE_NAME_SHFE = `上期能源` //上期能源->20 DATA_SOURCE_NAME_GIE = `欧洲天然气` //欧洲天然气->21 DATA_SOURCE_NAME_CALCULATE_TIME_SHIFT = `时间移位` //时间移位->22 DATA_SOURCE_NAME_CALCULATE_ZJPJ = `直接拼接` //直接拼接->23 DATA_SOURCE_NAME_CALCULATE_LJZTBPJ = `累计值同比拼接` //累计值同比拼接->24 DATA_SOURCE_NAME_LT = `路透` //路透->25 DATA_SOURCE_NAME_COAL = `中国煤炭网` //煤炭网->26 DATA_SOURCE_NAME_PYTHON = `代码运算` //python代码->27 DATA_SOURCE_NAME_PB_FINANCE = `彭博财务` //彭博财务数据->28 DATA_SOURCE_NAME_GOOGLE_TRAVEL = `our world in data` //谷歌出行数据->29 DATA_SOURCE_NAME_PREDICT = `预测指标` //普通预测指标->30 DATA_SOURCE_NAME_PREDICT_CALCULATE = `预测指标运算` //预测指标运算->31 DATA_SOURCE_NAME_PREDICT_CALCULATE_TBZ = `预测同比` //预测指标 - 同比值->32 DATA_SOURCE_NAME_PREDICT_CALCULATE_TCZ = `预测同差` //预测指标 - 同差值->33 DATA_SOURCE_NAME_MYSTEEL_CHEMICAL = `钢联化工` //钢联化工->34 DATA_SOURCE_NAME_CALCULATE_CJJX = `超季节性` //超季节性->35 DATA_SOURCE_NAME_EIA_STEO = `EIA STERO报告` //eia stero报告->36 DATA_SOURCE_NAME_CALCULATE_NHCC = `拟合残差` //计算指标（拟合残差）->37 DATA_SOURCE_NAME_COM_TRADE = `UN` //联合国商品贸易数据->38 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 DATA_SOURCE_NAME_CALCULATE_ADJUST = `数据调整` //数据调整->40 DATA_SOURCE_NAME_SCI = `SCI` //卓创数据（红桃三）->41 DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZZY = `预测累计值转月值` //预测指标 - 累计值转月->42 DATA_SOURCE_NAME_PREDICT_CALCULATE_HBZ = `预测环比值` //预测指标 - 环比值->43 DATA_SOURCE_NAME_PREDICT_CALCULATE_HCZ = `预测环差值` //预测指标 - 环差值->44 DATA_SOURCE_NAME_PREDICT_CALCULATE_BP = `预测升频` //预测指标 - 升频->45 DATA_SOURCE_NAME_PREDICT_CALCULATE_TIME_SHIFT = `预测时间移位` //预测指标 - 时间移位->46 DATA_SOURCE_NAME_PREDICT_CALCULATE_ZJPJ = `预测直接拼接` //预测指标 - 直接拼接->47 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 DATA_SOURCE_NAME_PREDICT_CALCULATE_CJJX = `预测超季节性` //预测指标 - 超季节性->49 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 DATA_SOURCE_NAME_CALCULATE_JP = `降频` //降频->51 DATA_SOURCE_NAME_CALCULATE_NH = `年化` //年化->52 DATA_SOURCE_NAME_CALCULATE_KSZS = `扩散指数` //扩散指数->53 DATA_SOURCE_NAME_PREDICT_CALCULATE_JP = `预测降频` //预测指标 - 计算指标(降频)->54 DATA_SOURCE_NAME_PREDICT_CALCULATE_NH = `预测年化` //预测指标 - 计算指标(年化)->55 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 DATA_SOURCE_NAME_BAIINFO = `百川盈孚` //百川盈孚 ->57 DATA_SOURCE_NAME_STOCK_PLANT = `存量装置` //存量装置 ->58 DATA_SOURCE_NAME_CALCULATE_CORRELATION = `相关性计算` //相关性计算->59 DATA_SOURCE_NAME_NATIONAL_STATISTICS = `国家统计局` //国家统计局->60 DATA_SOURCE_NAME_CALCULATE_LJZZJ = `累计值转季值` //累计值转季 -> 61 DATA_SOURCE_NAME_CALCULATE_LJZ = `累计值` //累计值 -> 62 DATA_SOURCE_NAME_CALCULATE_LJZNCZJ = `年初至今累计值` //累计值(年初至今） -> 63 DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZZJ = `预测累计值转季值` //预测指标 - 累计值转季->64 DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZ = `预测累计值` //预测指标 - 累计值 -> 65 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 DATA_SOURCE_NAME_CALCULATE_STANDARD_DEVIATION = `标准差` //标准差->67 DATA_SOURCE_NAME_CALCULATE_PERCENTILE = `百分位` //百分位->68 DATA_SOURCE_NAME_PREDICT_CALCULATE_STANDARD_DEVIATION = `预测标准差` //预测标准差->69 DATA_SOURCE_NAME_PREDICT_CALCULATE_PERCENTILE = `预测百分位` //预测百分位->70 DATA_SOURCE_NAME_FUBAO = `富宝数据` //富宝数据->71 ) // 基础数据初始化日期 var ( BASE_START_DATE = time.Now().AddDate(-30, 0, 0).Format(FormatDate) //基础数据开始日期 BASE_END_DATE = time.Now().AddDate(4, 0, 0).Format(FormatDate) //基础数据结束日期 BASE_START_DATE_UnSpace = time.Now().AddDate(-30, 0, 0).Format(FormatDateUnSpace) //基础数据开始日期 BASE_END_DATE_UnSpace = time.Now().AddDate(4, 0, 0).Format(FormatDateUnSpace) //基础数据结束日期 ) const ( DATA_PREFIX = "hz_data" CHART_PREFIX = "hz_chart" ) // 数据刷新频率 const ( DATA_REFRESH = 7 //7个单位，日/周/月/季度/年 DATA_END_DATE_LIMIT = 4 //数据结束日期为，当前日期，加上4年时间 ) const ( CACHE_EDB_DATA_ADD = "CACHE_EDB_DATA_ADD_" CACHE_EDB_DATA_REFRESH = "CACHE_EDB_DATA_REFRESH_" CACHE_WIND_URL = "CACHE_WIND_URL" CACHE_CHART_INFO_DATA = "chart:info:data:" //图表数据 CACHE_STOCK_PLANT_CALCULATE = "CACHE_STOCK_PLANT_CALCULATE_" // 库存装置减产计算 ) // MonthQuarterMap 月份与季度的map var MonthQuarterMap = map[int]int{ 1: 1, 2: 1, 3: 1, 4: 2, 5: 2, 6: 2, 7: 3, 8: 3, 9: 3, 10: 4, 11: 4, 12: 4, } // FrequencyDaysMap 频度日期的map关系 var FrequencyDaysMap = map[string]int{ "天": 1, "周": 7, "月": 30, "季": 90, "年": 365, } // 角色类型/类型编码 const ( ROLE_TYPE_ADMIN = "管理员" ROLE_TYPE_FICC_ADMIN = "ficc管理员" ROLE_TYPE_FICC_SELLER = "ficc销售" ROLE_TYPE_RAI_ADMIN = "权益管理员" ROLE_TYPE_RAI_SELLER = "权益销售" ROLE_TYPE_FICC_GROUP = "ficc销售组长" ROLE_TYPE_FICC_MANAGER = "ficc销售主管" ROLE_TYPE_RAI_GROUP = "权益组长" ROLE_TYPE_FICC_DEPARTMENT = "ficc部门经理" ROLE_TYPE_RAI_DEPARTMENT = "权益部门经理" ROLE_TYPE_FICC_RESEARCHR = "ficc研究员" ROLE_TYPE_RAI_RESEARCHR = "权益研究员" ROLE_NAME_FICC_DIRECTOR = "ficc销售经理" // 实际角色类型为ficc销售主管 ROLE_TYPE_CODE_ADMIN = "admin" //管理员 ROLE_TYPE_CODE_FICC_ADMIN = "ficc_admin" //ficc管理员 ROLE_TYPE_CODE_FICC_SELLER = "ficc_seller" //ficc销售 ROLE_TYPE_CODE_RAI_ADMIN = "rai_admin" //权益管理员 ROLE_TYPE_CODE_RAI_SELLER = "rai_seller" //权益销售 ROLE_TYPE_CODE_FICC_GROUP = "ficc_group" //ficc销售主管 ROLE_TYPE_CODE_RAI_GROUP = "rai_group" //ficc组长 ROLE_TYPE_CODE_FICC_DEPARTMENT = "ficc_department" //ficc部门经理 ROLE_TYPE_CODE_RAI_DEPARTMENT = "rai_department" //权益部门经理 ROLE_TYPE_CODE_FICC_RESEARCHR = "ficc_researcher" //ficc研究员 ROLE_TYPE_CODE_RESEARCHR = "researcher" //ficc研究员（最早定义的） ROLE_TYPE_CODE_RAI_RESEARCHR = "rai_researcher" //权益研究员 ROLE_TYPE_CODE_COMPLIANCE = "compliance" //合规角色 ROLE_TYPE_CODE_FINANCE = "finance" //财务角色 ROLE_TYPE_CODE_FICC_TEAM = "ficc_team" //ficc销售组长 ) const ( COMPANY_PRODUCT_FICC_ID = 1 COMPANY_PRODUCT_FICC_NAME = "ficc" COMPANY_PRODUCT_RAI_ID = 2 COMPANY_PRODUCT_RAI_NAME = "权益" ) // 语言版本 const ( ZhLangVersion = "zh" // 中文语言版本 EnLangVersion = "en" // 英文语言版本 ) // redis缓存 const ( CACHE_ACCESS_TOKEN_LOGIN = "eta_forum_admin:login:" //管理后台登录 CACHE_ACCESS_TOKEN_LOGIN_NO_TRUST = "eta_forum_admin:login:no_trust:" //管理后台登录（不可信登录态） CACHE_CHART_CLASSIFY = "eta_forum_admin:chart:classify" //图表分类数据 LoginCacheTime = 600 // 登录缓存时长, 分钟 CACHE_KEY_ADMIN_OPERATE_RECORD = "eta_forum_admin:list:admin_operate_record" //系统用户操作日志队列 ) const ( UserLoginSalt = "MiQM9yusNA9T2uIH" // 用户登录盐值 DesKeySalt = "JMCqSoUrTAmyNNIRb0TtlrPk" // DesKey盐值 ) const ( CACHE_CRM_AUTH_CODE_PREFIX = "eta_forum:crm_auth_code:" // 免密登录Code-CRM CACHE_FORUM_AUTH_CODE_PREFIX = "eta_forum:forum_auth_code:" // 免密登录Code-ETA ) // 图表样式类型 const ( CHART_TYPE_CURVE = 1 //曲线图 CHART_TYPE_SEASON = 2 //季节性图 CHART_TYPE_BAR = 7 //柱形图 CHART_TYPE_SECTION_SCATTER = 10 //截面散点图样式 CHART_TYPE_RADAR = 11 //雷达图 CHART_TYPE_SECTION_COMBINE = 14 //截面组合图 ) // 图表类型 const ( CHART_SOURCE_DEFAULT = 1 CHART_SOURCE_FUTURE_GOOD = 2 CHART_SOURCE_CORRELATION = 3 // 相关性图表 CHART_SOURCE_ROLLING_CORRELATION = 4 // 滚动相关性图表 CHART_SOURCE_FUTURE_GOOD_PROFIT = 5 // 商品利润曲线 CHART_SOURCE_LINE_EQUATION = 6 // 拟合方程图表 CHART_SOURCE_LINE_FEATURE_STANDARD_DEVIATION = 7 // 统计特征-标准差图表 CHART_SOURCE_LINE_FEATURE_PERCENTILE = 8 // 统计特征-百分位图表 CHART_SOURCE_LINE_FEATURE_FREQUENCY = 9 // 统计特征-频率分布图表 CHART_SOURCE_CROSS_HEDGING = 10 // 跨品种分析图表 ) // DataSourceEnMap 指标来源的英文名称 var DataSourceEnMap = map[int]string{ DATA_SOURCE_WIND: "Wind", DATA_SOURCE_THS: "iFind", DATA_SOURCE_PB: "Bloomberg", DATA_SOURCE_PB_FINANCE: "Bloomberg Finance", DATA_SOURCE_LT: "Reuters", DATA_SOURCE_MANUAL: "Horizon Insights", DATA_SOURCE_LZ: "OilChem", DATA_SOURCE_YS: "SMM", DATA_SOURCE_GL: "MySteel", DATA_SOURCE_ZZ: "Zhengzhou Commodity Exchange", DATA_SOURCE_DL: "Dalian Commodity Exchange", DATA_SOURCE_SH: "Shanghai Futures Exchange", DATA_SOURCE_CFFEX: "China Financial Futures Exchange", DATA_SOURCE_SHFE: "Shanghai International Energy Exchange", DATA_SOURCE_GIE: "Eurostat", DATA_SOURCE_COAL: "China Coal Transport & Distribution Association", DATA_SOURCE_GOOGLE_TRAVEL: "Our World in Data", DATA_SOURCE_EIA_STEO: "Energy Information Administration", DATA_SOURCE_COM_TRADE: "United Nations", DATA_SOURCE_SCI: "Sublime China Information", DATA_SOURCE_BAIINFO: "BAIINFO", DATA_SOURCE_MYSTEEL_CHEMICAL: "Horizon Insights", DATA_SOURCE_FUBAO: "FuBao", } // BusinessCodeSalt 商家编码盐值 const BusinessCodeSalt = "dr7WY0OZgGR7upw1" //const CrmEtaAuthorization = "NIi1RbEmH0C2rksXtPGDPBBgRgTZY87Q" const HzCompanyName = "弘则研究" const HzBusinessCodeRelease = "E2023080900" // 生产环境 // DIR_MOD 目录创建权限 const DIR_MOD fs.FileMode = 0766 // Unix permission bits const ( STORAGESOURCE_OSS_NAME = "oss" STORAGESOURCE_MINIO_NAME = "minio" STORAGESOURCE_S3_NAME = "s3" ) // 客户类型 const ( COMPANY_CLASSIFY_FICC = "ficc" COMPANY_CLASSIFY_RAI = "权益" COMPANY_CLASSIFY_PARTNER = "合作伙伴" )