eta_data_analysis/utils/constants.go

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
	HlbFormatDateTime          = "2006-01-02_15:04:05.999" //完整时间格式
	HlbFormatDateTimeNoSecond  = "2006-01-02 15:04"        //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
	FormatDate1                = "2006/1/02"               //日期格式
	FormatDate2                = "2006/01/02"              //日期格式
	FormatDateYearMonthDay     = "2006年01月02日"             //日期格式
	FormatDatePoint            = "2006.01.02"              //日期格式
	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_LY                                   = 91       // 粮油商务网
	DATA_SOURCE_RZD                                  = 97       // 睿姿得数据
)

// 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
)

// 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,
}

// edb_index_lib 的接口名称
const (
	LIB_ROUTE_YONGYI_HANDLE                           = "yongyi/handle/excel_data"                              //涌益咨询处理excel数据并入库 数据地址
	LIB_ROUTE_COAL_MINE_JSM_HISTORY                   = "/coal_mine/jsm/history"                                //jsm三省煤炭网历史数据处理excel数据并入库 数据地址
	LIB_ROUTE_COAL_MINE_COASTAL_HISTORY               = "/coal_mine/coastal/history"                            //沿海煤炭网历史数据处理excel数据并入库 数据地址
	LIB_ROUTE_COAL_MINE_INLAND_HISTORY                = "/coal_mine/inland/history"                             //内陆三省煤炭网历史数据处理excel数据并入库 数据地址
	LIB_ROUTE_COAL_MINE_JSM                           = "/coal_mine/jsm"                                        //jsm三省煤炭网历史数据处理excel数据并入库 数据地址
	LIB_ROUTE_COAL_MINE_COASTAL                       = "/coal_mine/coastal"                                    //沿海煤炭网历史数据处理excel数据并入库 数据地址
	LIB_ROUTE_COAL_MINE_INLAND                        = "/coal_mine/inland"                                     //内陆三省煤炭网历史数据处理excel数据并入库 数据地址
	LIB_ROUTE_COAL_MINE_FIRM                          = "/coal_mine/firm"                                       //分公司旬度煤炭网数据处理excel数据并入库 数据地址
	LIB_ROUTE_FENWEI_HANDLE                           = "fenwei/handle/excel_data"                              // 汾渭煤炭excel数据入库接口地址
	LIB_ROUTE_FENWEI_CLASSIFY                         = "fenwei/classify_tree"                                  // 汾渭煤炭分类接口地址
	LIB_ROUTE_FENWEI_INDEX_LIST                       = "fenwei/base_index_list"                                // 汾渭煤炭指标列表接口地址
	LIB_ROUTE_COAL_MINE_MTJH                          = "/mtjh/data"                                            //煤炭江湖数据处理excel数据并入库 数据地址
	LIB_ROUTE_CCF_EDB_HANDLE                          = "ccf/handle/edb_data"                                   // CCF化纤信息指标入库接口地址
	LIB_ROUTE_CCF_TABLE_HANDLE                        = "ccf/handle/table_data"                                 // CCF化纤信息装置表格入库接口地址
	LIB_ROUTE_OILCHEM_TABLE_HANDLE                    = "oilchem/handle/edb_data"                               // 隆众资讯入库接口地址
	LIB_ROUTE_Hisugar_TABLE_HANDLE                    = "hisugar/handle/edb_data"                               // 泛糖科技入库接口地址
	LIB_ROUTE_FENWEI_NET_DATA_HANDLE                  = "/fenwei/net/data/handle"                               // 汾渭网页数据处理
	GET_LY_CLASSIFY_BY_NAME                           = "/ly/get/ly/classify/by/name"                           // 获取分类
	GET_LY_INDEX_RECORD_BY_URL                        = "/ly/get/ly/index/record/by/url"                        // 根据url获取指标已读取记录
	ADD_LY_INDEX_RECORD                               = "/ly/add/ly/index/record"                               // 维护指标数据读取进度到数据库
	ADD_LY_DATA_LIST                                  = "/ly/add/ly/data/list"                                  // 新增指标数据列表
	ADD_LY_INDEX                                      = "/ly/add/ly/index"                                      // 新增指标
	GET_LY_DATA_BY_INDEX_ID_AND_DATA_TIME             = "/ly/get/ly/data/by/index/id/and/data/time"             // 根据指标id和时间获取指标数据
	GET_LY_DATA_BY_INDEX_ID_AND_DATA_TIME_YM          = "/ly/get/ly/data/by/index/id/and/data/time/ym"          // 根据指标id和年月时间获取指标数据
	UPDATE_LY_DATA_BY_ID                              = "/ly/update/ly/data/by/id"                              // 更新数据源指标数据
	UPDATE_LY_EDB_DATA_BY_ID                          = "/ly/update/ly/edb/data/by/id"                          // 更新指标库指标数据
	GET_LY_EDB_DATA_BY_INDEX_CODE_AND_DATA_TIME       = "/ly/get/ly/edb/data/by/index/code/and/data/time"       // 根据指标编码和模糊日期获取指标库数据
	GET_LY_EDB_DATA_BY_INDEX_CODE_AND_EXACT_DATA_TIME = "/ly/get/ly/edb/data/by/index/code/and/exact/data/time" //根据指标编码和精确日期获取指标库数据
	GET_LY_INDEX_BY_CODE                              = "/ly/get/ly/index/by/code"                              // 根据指标编码获取指标
	GET_EDB_INFO_BY_INDEX_CODE                        = "/ly/get/edb/info/by/index/code"                        // 根据指标code获取指标信息
	ADD_BATCH_LY_EDB_DATA                             = "/ly/add/batch/ly/edb/data"                             // 批量增加粮油指标库数据

	ADD_RZD_INDEX                       = "/rzd/add/rzd/index"                       // 新增睿咨得指标
	ADD_BATCH_RZD_DATA                  = "/rzd/add/batch/rzd/data"                  // 新增数据源指标数据列表
	GET_RZD_INDEX_DATA_BY_CODE_AND_TIME = "/rzd/get/rzd/index/data/by/code/and/time" // 根据指标编码和日期获取指标数据
	GET_EDB_RZD_DATA_BY_CODE_AND_TIME   = "/rzd/get/edb/rzd/data/by/code/and/time"   // 根据指标编码和日期获取指标数据
	GET_RZD_INDEX_BY_CODE               = "/rzd/get/rzd/index/by/code"               // 根据指标编码获取指标
	GET_RZD_CLASSIFY_BY_NAME            = "/rzd/get/rzd/classify/by/name"            // 根据分类名称查询分类
	ADD_RZD_CLASSIFY                    = "/rzd/add/rzd/classify"                    // 新增睿咨得分类
	ADD_BATCH_RZD_EDB_DATA              = "/rzd/add/batch/rzd/edb/data"              // 批量增加指标库指标数据
	GET_RZD_EDB_INFO_BY_INDEX_CODE      = "/rzd/get/rzd/edb/info/by/code"            // 根据指标code获取指标信息
	UPDATE_RZD_EDB_DATA                 = "/rzd/update/rzd/edb/data"                 // 修改指标库指标数据

)

const (
	APPNAME = "弘则-数据爬虫"
)