package utils import "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 FormatDateTimeMinute = "2006-01-02 15:04" //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 ) // 数据来源渠道 const ( DATA_SOURCE_THS = iota + 1 //同花顺 DATA_SOURCE_WIND //wind DATA_SOURCE_PB //彭博 DATA_SOURCE_CALCULATE //指标运算 DATA_SOURCE_CALCULATE_LJZZY //累计值转月 DATA_SOURCE_CALCULATE_TBZ //同比值 DATA_SOURCE_CALCULATE_TCZ //同差值 DATA_SOURCE_CALCULATE_NSZYDPJJS //N数值移动平均计算 DATA_SOURCE_MANUAL //手工指标 DATA_SOURCE_LZ //隆众 DATA_SOURCE_YS //有色 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 //煤炭网->26 DATA_SOURCE_PYTHON //python代码->27 DATA_SOURCE_PB_FINANCE //彭博财务数据->28 DATA_SOURCE_GOOGLE_TRAVEL //谷歌出行数据->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 //预测指标 - 同比值->32 DATA_SOURCE_PREDICT_CALCULATE_TCZ //预测指标 - 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 //降频->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 //相关性计算->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->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 //富宝数据->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_YONYI = 76 //涌益咨询 DATA_SOURCE_FENWEI = 77 //汾渭煤炭 DATA_SOURCE_GFEX = 78 // 广州期货交易所->78 DATA_SOURCE_ICPI = 79 // ICPI消费价格指数->79 DATA_SOURCE_MTJH = 80 // 煤炭江湖->80 DATA_SOURCE_CALCULATE_SUM = 81 DATA_SOURCE_CALCULATE_AVG = 82 DATA_SOURCE_BLOOMBERG = 83 // bloomberg彭博数据 DATA_SOURCE_BUSINESS = 84 // 来源于自有数据 DATA_SOURCE_SCI99 = 85 // 卓创资讯 DATA_SOURCE_CCF = 86 // CCF化纤信息 DATA_SOURCE_CALCULATE_RANGEANLYSIS = 87 //区间计算->87 DATA_SOURCE_SCI_HQ = 88 // 卓创红期->88 DATA_SOURCE_OILCHEM = 89 // 隆众资讯 -> 89 DATA_SOURCE_PREDICT_CALCULATE_RANGEANLYSIS = 90 // 预测指标区间计算->90 ) // 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 = `中国煤炭市场网` //中国煤炭市场网->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 DATA_SOURCE_NAME_CALCULATE_ZSXY = `指数修匀` //指数修匀->72 DATA_SOURCE_NAME_PREDICT_CALCULATE_ZSXY = `预测指数修匀` //预测指数修匀->73 DATA_SOURCE_NAME_CALCULATE_ZDYFX = `自定义分析` //自定义分析->74 DATA_SOURCE_NAME_YONYI = `涌益咨询` // 涌益咨询 DATA_SOURCE_NAME_FENWEI = `汾渭数据` // 汾渭煤炭 DATA_SOURCE_NAME_MTJH = `煤炭江湖` // 煤炭江湖->80 DATA_SOURCE_NAME_ICPI = "ICPI消费价格指数" DATA_SOURCE_NAME_CALCULATE_SUM = `多指标求和` DATA_SOURCE_NAME_CALCULATE_AVG = `多指标求平均` DATA_SOURCE_NAME_BUSINESS = `自有数据` DATA_SOURCE_NAME_CCF = `CCF` // CCF化纤信息 DATA_SOURCE_NAME_SCI_HQ = `卓创红期` // 卓创红期 DATA_SOURCE_NAME_OILCHEM = `隆众资讯` // 隆众资讯 -> 89 DATA_SOURCE_NAME_CALCULATE_RANGEANLYSIS = `区间计算` //区间计算->87 DATA_SOURCE_NAME_PREDICT_CALCULATE_RANGEANLYSIS = `预测区间计算` //区间计算->90 ) // 基础数据初始化日期 var ( BASE_START_DATE = `1900-01-01` //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 = "19000101" //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_EDIT = "CACHE_EDB_DATA_EDIT_" 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 CACHE_EDB_TERMINAL_CODE_URL = "edb:terminal_code:edb_code:" // 指标与终端关系的缓存 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 CACHE_EDB_THS_SERVER_TOKEN = "edb:ths_server_token:" //同花顺调用凭证 CACHE_SELF_EDB_HANDLE = "CACHE_SELF_EDB_HANDLE:" // 自定义指标缓存 CACHE_BASE_EDB_ADD = "CACHE_BASE_EDB_ADD_" // 添加至数据源缓存 CACHE_BASE_EDB_REFRESH = "CACHE_BASE_EDB_REFRESH_" // 刷新数据源缓存 ) // 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 ) // 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, } var ( HZ_TRIAL_BUSSINESS_CODE = "E2023080700" //商家试用平台 ) // 指标类型:1:基础指标,2:计算指标 const ( DEFAULT_EDB_TYPE = 1 //基础指标 CALCULATE_EDB_TYPE = 2 //计算指标 ) // 指标类型 const ( EDB_INFO_TYPE = 0 //指标类型 0：普通指标 PREDICT_EDB_INFO_TYPE = 1 //指标类型 1：预测指标 ) // ETA表格 const ( EXCEL_DEFAULT = 1 // 自定义excel TIME_TABLE = 2 // 时间序列表格 MIXED_TABLE = 3 // 混合表格 CUSTOM_ANALYSIS_TABLE = 4 // 自定义分析表格 ) // 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 DATA_SUB_SOURCE_HIGH_FREQUENCY //高频数据 ) // 语言版本 const ( ZhLangVersion = "zh" // 中文语言版本 EnLangVersion = "en" // 英文语言版本 ) const ( PercentCalculateTypeRange = 0 // 百分位算法类型-数据区间 PercentCalculateTypeNum = 1 // 百分位算法类型-数据个数 ) const ( WindDbWsd = "wsd" ThsDs = "thsds" ThsHf = "thshf" ) // 指标计算方式 const ( EdbBaseCalculateLjzzy = 1 // 累计值转月->1 EdbBaseCalculateLjzzj = 2 // 累计值转季->2 EdbBaseCalculateTbz = 3 // 同比值->3 EdbBaseCalculateTcz = 4 // 同差值->4 EdbBaseCalculateNszydpjjs = 5 // N数值移动平均数计算->5 EdbBaseCalculateHbz = 6 // 环比值->6 EdbBaseCalculateHcz = 7 // 环差值->7 EdbBaseCalculateUpFrequency = 8 // 升频->8 EdbBaseCalculateDownFrequency = 9 // 降频->9 EdbBaseCalculateTimeShift = 10 // 时间移位->10 EdbBaseCalculateCjjx = 11 // 超季节性->11 EdbBaseCalculateAnnualized = 12 // 年化->12 EdbBaseCalculateLjz = 13 // 累计值->13 EdbBaseCalculateLjzNczj = 14 // 累计值年初至今->14 EdbBaseCalculateExponentialSmoothing = 15 // 指数修匀->15 EdbBaseCalculateRjz = 16 // 日均值->16 )