django后台缓存下载表格

在访问django后端下载接口，直接下载数据，不在后端保存表格

# views.py

def download_csv_func(response_data_df, request_data, types=''):
    response = HttpResponse(content_type='text/csv')  # 指明下载的文件为csv格式
    response.write(codecs.BOM_UTF8)  # 指定编码类型
    now_time = re.sub(':|-', '', str(datetime.datetime.now())).split('.')[0]
    now_time = now_time.replace(' ', '_')
    filename = "download_" + types + '_' + str(request_data.get("data1")) + '_' + now_time + ".csv"
    # 指定下载的文件名
    response['Content-Disposition'] = 'attachment; filename="{}"'.format(filename)
    columns = response_data_df.columns.values  # 获取表头
    values = response_data_df.values  # 获取内容
    writer = csv.writer(response)
    writer.writerow(columns)
    writer.writerows(values)
    return response
    
def deal_request_data(req):
    if req.method == 'GET':
        data1 = req.GET.get("data1 ", None)
        data2 = req.GET.get("data2 ", None)
    else:
        data1 = req.data.get("data1 ", None)
        data2 = req.data.get("data2 ", None)
    data = {'data1 ': data1 , 'data2 ': data2}
    return data 
    
class DownloadData(ModelViewSet):

    def get_csv_result(self, request):
    	# 处理get或者post请求参数
        request_data = deal_request_data(request) 
        # 从数据库提取数据
        response_data_list = get_dataset(request_data)  # （文章无此函数）
        if response_data_list:
        	# 处理成pandas格式数据，函数是处理数据的
            response_data_df = get_data_df(response_data_list)  # （文章无此函数）
        else:
            response_data_df = DataFrame([])
        # 保存生成缓存数据
        response = download_csv_func(response_data_df, request_data, 'all_data')
        return response


# urls.py
    url(r'^tests/get_csv$',
        magenta.DownloadData.as_view({'get': 'get_csv_result','post':'get_csv_result'})),


GET请求： http://127.0.0.1:5012/tests/get_csv?data1=***&data2=***
POST请求：http://127.0.0.1:5012/tests/get_csv
data: {
	"data1":***,
	"data2":***
}