#' @title store information
#'
#' @description get the store information from BI database
#'
#' @param con BI con connector
#' @param brand_name brand_name
#' @param channel_type store type
#' @param area_name the area of store
#' @param boss_name the boss of store
#' @param city_name the city name of store
#' @param shop_no the shop of Number
#' @details 门店属性:SHOP_NO 门店名称 原ERP店编码 品牌 一级部门 门店性质 国家 管辖区域 省份 城市 城市等级 门店负责人 区域经理 经营状态
#' 店铺类型 老板
#'
#' @import dbplyr tidyverse
#' @encoding UTF-8
#' @return a dbplyrlink
#'
#'
#'
#' @examples
#' store <- store(con,brand_name = "mujosh")
#' store <- store(con,brand_name = c("mujosh",'aojo'),channel_type= 'zhiying')
#' store_table <- store(con,brand_name = "mujosh") %>% collect()
#' @export
#'
#'
store <- function(con,brand_name,channel_type = NULL ,area_name = NULL,boss_name = NULL,city_name = NULL,shop_no = NULL) {
# store information
store_table1 <- tbl(con, in_schema("DW", "MD_SHOP_DETAIL")) %>%
select(
SHOP_NO, SHOP_NAME, ERP_NO, BRAND_NAME, SHOP_TYPE39,
SHOP_TYPE29, COUNT_NAME, SHOP_AREA, PROVINCE_NAME, CITY_NAME, NIELS,
SHOP_PNAME1, SHOP_PNAME2, SHOP_TYPE04, SHOP_TYPE05, SHOP_TYPE15,
SHOP_TYPE36, SHOP_TYPE37, SHOP_TYPE48, SHOP_TYPE47, SHOP_TYPE49, SHOP_BRAN,SHOP_TYPE17
) %>%
rename(
SHOP_NO = SHOP_NO, 门店名称 = SHOP_NAME, 原ERP店编码 = ERP_NO, 品牌 = BRAND_NAME, 一级部门 = SHOP_TYPE39,
门店性质 = SHOP_TYPE29, 国家 = COUNT_NAME, 管辖区域 = SHOP_AREA, 省份 = PROVINCE_NAME, 城市 = CITY_NAME,
城市等级 = NIELS, 门店负责人 = SHOP_PNAME1, 区域经理 = SHOP_PNAME2, 经营状态 = SHOP_TYPE04, 店铺类型 = SHOP_TYPE05,
老板 = SHOP_TYPE15, 加盟商编码 = SHOP_TYPE36, 加盟商名称 = SHOP_TYPE37, 重点客户标识 = SHOP_TYPE48, 年可比店 = SHOP_TYPE47,
当月可比店 = SHOP_TYPE49, 门店属性 = SHOP_BRAN,区域 = SHOP_TYPE17
) %>% # rename
mutate(仓位类型 = '门店库存')
store_table2 <- tbl(con, in_schema("DW", "MD_HOUSE_DETAIL")) %>%
select(SHOP_NO = STOR_NO, SHOP_NAME = STORE_NAME, fuzhu1 = SHOP_NO) %>%
filter(SHOP_NO %in% c("DC012001","DC011001", "DC011002", "DC011994", "DC011998", "DC011999", "DC011003", "DC011996", "DC011997","DC016001", "EM061001", "DC021001", "DC021002", "DC021994", "DC021998", "DC021999", "DC021003", "DC021996", "DC021997")) %>%
mutate(ERP_NO = "") %>%
mutate(BRAND_NAME = case_when(
fuzhu1 == "DC01" ~ "木九十",
fuzhu1 == "EM06" ~ "木九十",
fuzhu1 == "DC02" ~ "aojo"
)) %>%
mutate(SHOP_TYPE39 = case_when(
fuzhu1 == "DC01" ~ "木九十事业部",
fuzhu1 == "EM06" ~ "木九十事业部",
fuzhu1 == "DC02" ~ "aojo事业部"
)) %>%
select(SHOP_NO, SHOP_NAME , ERP_NO,BRAND_NAME,SHOP_TYPE39) %>%
mutate(
SHOP_TYPE29 = "总仓",
COUNT_NAME = "",
SHOP_AREA = "总仓",
PROVINCE_NAME = "总仓",
CITY_NAME = "总仓",
NIELS = "",
SHOP_PNAME1 = "",
SHOP_PNAME2 = "",
SHOP_TYPE04 = "正常营业",
SHOP_TYPE05 = "",
SHOP_TYPE15 = "",
SHOP_TYPE36 = "",
SHOP_TYPE37 = "",
SHOP_TYPE48 = 1,
SHOP_TYPE47 = "1",
SHOP_TYPE49 = "1",
SHOP_BRAN = "总仓" ,
SHOP_TYPE17 = "总仓"
) %>%
rename(
SHOP_NO = SHOP_NO, 门店名称 = SHOP_NAME, 原ERP店编码 = ERP_NO, 品牌 = BRAND_NAME, 一级部门 = SHOP_TYPE39,
门店性质 = SHOP_TYPE29, 国家 = COUNT_NAME, 管辖区域 = SHOP_AREA, 省份 = PROVINCE_NAME, 城市 = CITY_NAME,
城市等级 = NIELS, 门店负责人 = SHOP_PNAME1, 区域经理 = SHOP_PNAME2, 经营状态 = SHOP_TYPE04, 店铺类型 = SHOP_TYPE05,
老板 = SHOP_TYPE15, 加盟商编码 = SHOP_TYPE36, 加盟商名称 = SHOP_TYPE37, 重点客户标识 = SHOP_TYPE48, 年可比店 = SHOP_TYPE47,
当月可比店 = SHOP_TYPE49, 门店属性 = SHOP_BRAN,区域 = SHOP_TYPE17
) %>%
mutate(仓位类型 = '总仓库存')
store_table <- union_all(store_table1,store_table2)
if(is.null(brand_name)){
stop("请明确输入事业部名称,如木九十事业部")
} else {
store_table <- store_table %>% filter(一级部门 %in% brand_name)
}
# if(is.null(channel_type)){
# store_table <- store_table
# } else {
# store_table <- store_table %>% filter(门店性质 %in% channel_type)
# }
#
if(is.null(channel_type)){
store_table <- store_table
} else {
store_table <- store_table %>% filter(门店性质 %in% channel_type)
}
if(is.null(area_name)){
store_table <- store_table
} else {
store_table <- store_table %>% filter(管辖区域 %in% area_name)
}
#groups_vars <- quos(...)
if(is.null(boss_name)){
store_table <- store_table
} else {
store_table <- store_table %>% filter(老板 %in% boss_name)
}
if(is.null(city_name)){
store_table <- store_table
} else {
store_table <- store_table %>% filter(城市 %in% city_name)
}
if(is.null(shop_no)){
store_table <- store_table
} else {
store_table <- store_table %>% filter(SHOP_NO %in% shop_no)
}
}
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