#' @title get purchase stock data from BI database
#' @description 采购入库数据
#' @param con BI connector
#' @param ... 汇总字段 可以按照 SHOP_NO,SKU_NO,年,月等
#' @param start_date 数据开始日期
#' @param end_date 数据结束日期
#' @param brand_name 事业部名称
#' @param channel_type 门店渠道
#' @param area_name 管辖区域
#' @param boss_name 加盟商客户
#' @param shop_no the shop of Number
#' @param category_name the category name of goods
#' @encoding UTF-8
#' @import dbplyr
#' @import lubridate
#' @return a data.frame
#' @export
#'
#' @examples
#'get_inventory_shipment_data(con = con,SKU_NO,brand_name = c('mujosh','aj'),
#'start_date = '2020-10-10',end_date = '2020-10-31',category = c("frame","sunglasses"))
#'get_purchase_data(con,SHOP_NO,brand_name = 'brand',start_date = '2021-01-01',end_date = '2021-01-10',category_name = 'frame')
#'
get_purchase_data <- function(con, ..., start_date, end_date,
brand_name, channel_type = NULL, area_name = NULL,
boss_name = NULL, shop_no = NULL, category_name = NULL) {
store_table <- store(con, brand_name = brand_name, channel_type = channel_type, area_name = area_name, boss_name = boss_name, shop_no = shop_no)
sku_table <- sku(con, category_name = category_name)
tbl(con, in_schema("DW", "DW_PURCHASE_STOCK_F")) %>%
select(SHOP_NO, STOR_NO, QTY, PRICE, SKU_NO, BILL_DATE) %>%
filter(between(BILL_DATE, to_date(start_date, "yyyy-mm-dd"), to_date(end_date, "yyyy-mm-dd"))) %>%
filter(STOR_NO %in% c("DC011001","DC011994", "DC011996", "DC011997",
"DC021001","DC021994", "DC021996", "DC021997")) %>%
mutate(SHOP_NO = STOR_NO, 年 = year(BILL_DATE), 月 = month(BILL_DATE)) %>%
inner_join(store_table) %>%
inner_join(sku_table) %>%
group_by(...) %>%
summarise(
入库数量 = sum(QTY, na.rm = TRUE),
入库金额 = sum(PRICE, na.rm = TRUE)
) %>%
collect()
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.