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data-center-auto
Commit 16c13690 by 泽锋 李
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现金流报表支持导出

parent 8f8b9efa
Showing with 150 additions and 1 deletion
AutoTurnOver.Services/CashFlowServices.cs
......@@ -24,6 +24,7 @@ namespace AutoTurnOver.Services
{
var dic = (IDictionary<string, object>)o;
dic["occur_" + (dat_item.date_title)] = new { val = Math.Round(dat_item.occur_val, 2), btime = dat_item.btime, etime = dat_item.etime, data_type = item.date_type };
dic["v_occur_" + (dat_item.date_title)] = Math.Round(dat_item.occur_val, 2);
if(
item.date_type .Contains( (int)dc_report_cash_flow_log_data_type_enum.销售数量)
//|| item.date_type==(int)dc_report_cash_flow_log_data_type_enum.利润
......@@ -33,11 +34,13 @@ namespace AutoTurnOver.Services
//|| item.date_type == (int)dc_report_cash_flow_log_data_type_enum.释放头程费用
)
{
dic["pay_" + (dat_item.date_title)] = null;
dic["v_pay_" + (dat_item.date_title)] = null;
}
else
{
dic["pay_" + (dat_item.date_title)] = new { val = Math.Round(dat_item.pay_val, 2), btime = dat_item.btime, etime = dat_item.etime, data_type = item.date_type };
dic["v_pay_" + (dat_item.date_title)] = Math.Round(dat_item.pay_val, 2);
}
}
......
AutoTurnOver/Controllers/CashFlowController.cs
......@@ -11,6 +11,7 @@ using AutoTurnOver.Services;
using Dapper;
using Microsoft.AspNetCore.Http;
using Microsoft.AspNetCore.Mvc;
using AutoTurnOver.Utility;
namespace AutoTurnOver.Controllers
{
......@@ -38,6 +39,78 @@ namespace AutoTurnOver.Controllers
});
}
public FileResult ExportView(DateTime? btime, DateTime? etime, string platform_type, string web_site, string bailun_sku, string warehouse_code)
{
report_cash_flow_view_search_dto search_data = new report_cash_flow_view_search_dto
{
etime = etime,
btime = btime,
web_site = web_site,
platform_type = platform_type,
warehouse_code = warehouse_code,
bailun_sku = bailun_sku
};
var e_btime = DateTime.Now.AddDays(-8).ToDayHome();
var e_etime = DateTime.Now.AddDays(-1).ToDayEnd();
if (search_data.btime != null)
{
e_btime = search_data.btime.Value.ToDayHome();
}
if (search_data.etime != null)
{
e_etime = search_data.etime.Value.ToDayEnd();
}
var list = new CashFlowServices().GetView(search_data);
DataTable table = new DataTable();
string[] cols = new string[] { "类型", "汇总-发生", "汇总-支付"};
foreach (var item in cols)
{
table.Columns.Add(item);
}
var col_this_date =e_etime;
while (col_this_date.ToDayHome()> e_btime.ToDayHome())
{
table.Columns.Add($"{col_this_date.ToString("MM-dd")}-发生");
table.Columns.Add($"{col_this_date.ToString("MM-dd")}-支付");
col_this_date = col_this_date.AddDays(-1);
}
foreach (var itemDataD in list)
{
DataRow row = table.NewRow();
var itemData = (IDictionary<string, object>)itemDataD;
row["类型"] = itemData["date_type_str"];
row["汇总-发生"] = itemData["v_occur_汇总"];
row["汇总-支付"] = itemData["v_pay_汇总"];
var row_this_date = e_etime;
while (row_this_date.ToDayHome() > e_btime.ToDayHome())
{
row[$"{row_this_date.ToString("MM-dd")}-发生"] =itemData["v_occur_" + $"{row_this_date.Month}-{row_this_date.Day}"];
row[$"{row_this_date.ToString("MM-dd")}-支付"] =itemData["v_pay_" + $"{row_this_date.Month}-{row_this_date.Day}"];
row_this_date = row_this_date.AddDays(-1);
}
table.Rows.Add(row);
}
var fileName = AppContext.BaseDirectory + @"Result\RealtimeStock\现金流报表.csv";
DataTableHelper.SaveCSV(table, fileName);
var memory = new MemoryStream();
using (var stream = new FileStream(fileName, FileMode.Open))
{
stream.CopyTo(memory);
}
memory.Position = 0;
return File(memory, "text/csv", "现金流报表.csv");
}
public FileResult Export(DateTime? btime, DateTime? etime, string bailun_sku, string data_type = null, int? type = null, string platform_type = null, string warehouse_code = null, string web_site = "", int? view_type = 1)
{
var m = new dc_report_cash_flow_log_export_page_search_dto
......@@ -140,6 +213,79 @@ namespace AutoTurnOver.Controllers
}
public FileResult ExportSkuView(int? data_type, string sku_label, string bailun_sku, int offset, int limit, string order, string sort, string buyer_name, string warehousecode, string supplier_name, string warehousetype, int? warehousearea, int? monitor_status = null, string product_type = null)
{
var m = new dc_report_cash_flow_sku_group_search_dto
{
bailun_sku = bailun_sku,
page = 1,
rows = int.MaxValue,
sidx = sort,
sord = order,
buyer_name = buyer_name,
sku_label = string.IsNullOrWhiteSpace(sku_label) ? null : WebUtility.UrlDecode(sku_label),
data_type = data_type,
supplier_name = supplier_name,
product_type = product_type,
warehouse_code = warehousecode,
monitor_status = monitor_status,
warehousearea = warehousearea,
warehousetype = warehousetype
};
var services = new CashFlowServices();
var list = services.SkuView(m).Items;
DataTable table = new DataTable();
string[] cols = new string[] { "sku","仓库编码","仓库名称","名称","累计值","本月结余","本月正数","本月负数","上月结余","上月正数","上月负数","采购员","可用库存"
,"可用库存金额","在途数量","在途金额","7日日均","14日日均","30日日均","停售状态"
};
foreach (var item in cols)
{
table.Columns.Add(item);
}
foreach (var itemData in list)
{
DataRow row = table.NewRow();
row["sku"] = itemData.bailun_sku;
row["仓库编码"] = itemData.warehouse_code;
row["仓库名称"] = itemData.warehouse_name;
row["名称"] = itemData.sku_name;
row["累计值"] = itemData.balance;
row["本月结余"] = itemData.current_balance;
row["本月正数"] = itemData.current_income;
row["本月负数"] = itemData.current_expend;
row["上月结余"] = itemData.last_balance;
row["上月正数"] = itemData.last_income;
row["上月负数"] = itemData.last_expend;
row["采购员"] = itemData.buyer_name;
row["可用库存"] = itemData.usable_stock;
row["可用库存金额"] = itemData.stock_amount;
row["在途数量"] = itemData.on_the_way;
row["在途金额"] = itemData.on_the_way_amount;
row["7日日均"] = itemData.history_sevenday_sales;
row["14日日均"] = itemData.history_fourteenday_sales;
row["30日日均"] = itemData.history_thirtyday_sales;
row["停售状态"] = itemData.sku_status==1? "停售" : "在售";
table.Rows.Add(row);
}
var fileName = AppContext.BaseDirectory + @"Result\RealtimeStock\现金流明细.csv";
DataTableHelper.SaveCSV(table, fileName);
var memory = new MemoryStream();
using (var stream = new FileStream(fileName, FileMode.Open))
{
stream.CopyTo(memory);
}
memory.Position = 0;
return File(memory, "text/csv", "现金流明细.csv");
}
[HttpGet]
public JsonResult LogPage(int limit, int offset, string order, string sort, DateTime? btime, DateTime? etime, string bailun_sku, string data_type = null, int? type = null, string platform_type = null, string warehouse_code = null, string web_site = "", int? view_type = 1)
{
......
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