Django 限制访问频率的思路详解

yipeiwu_com7年前Python基础

最近做了一个系统由于部分接口需要进行耗时操作,因而不希望用户进行频繁访问,需要进行访问频率限制。如果要自己实现一个访问限制功能相对来说也不会太复杂,并且网上有各种代码可以参考。如果自己不想实现这个代码可以使用 Django Ratelimit

Django Ratelimit is a ratelimiting decorator for Django views.
/zb_users/upload/202003/skmu4f3cnxb.png?branch=master Code: https://github.com/jsocol/django-ratelimit License: Apache Software License Issues: https://github.com/jsocol/django-ratelimit/issues Documentation: http://django-ratelimit.readthedocs.org/

使用方法也相对来说比较简单:

@ratelimit(key='ip', rate='5/m')
def myview(request):
  # Will be true if the same IP makes more than 5 POST
  # requests/minute.
  was_limited = getattr(request, 'limited', False)
  return HttpResponse()
@ratelimit(key='ip', rate='5/m', block=True)
def myview(request):
  # If the same IP makes >5 reqs/min, will raise Ratelimited
  return HttpResponse()
@ratelimit(key='post:username', rate='5/m', method=['GET', 'POST'])
def login(request):
  # If the same username is used >5 times/min, this will be True.
  # The `username` value will come from GET or POST, determined by the
  # request method.
  was_limited = getattr(request, 'limited', False)
  return HttpResponse()
@ratelimit(key='post:username', rate='5/m')
@ratelimit(key='post:tenant', rate='5/m')
def login(request):
  # Use multiple keys by stacking decorators.
  return HttpResponse()
@ratelimit(key='get:q', rate='5/m')
@ratelimit(key='post:q', rate='5/m')
def search(request):
  # These two decorators combine to form one rate limit: the same search
  # query can only be tried 5 times a minute, regardless of the request
  # method (GET or POST)
  return HttpResponse()
@ratelimit(key='ip', rate='4/h')
def slow(request):
  # Allow 4 reqs/hour.
  return HttpResponse()
rate = lambda r: None if request.user.is_authenticated else '100/h'
@ratelimit(key='ip', rate=rate)
def skipif1(request):
  # Only rate limit anonymous requests
  return HttpResponse()
@ratelimit(key='user_or_ip', rate='10/s')
@ratelimit(key='user_or_ip', rate='100/m')
def burst_limit(request):
  # Implement a separate burst limit.
  return HttpResponse()
@ratelimit(group='expensive', key='user_or_ip', rate='10/h')
def expensive_view_a(request):
  return something_expensive()
@ratelimit(group='expensive', key='user_or_ip', rate='10/h')
def expensive_view_b(request):
  # Shares a counter with expensive_view_a
  return something_else_expensive()
@ratelimit(key='header:x-cluster-client-ip')
def post(request):
  # Uses the X-Cluster-Client-IP header value.
  return HttpResponse()
@ratelimit(key=lambda r: r.META.get('HTTP_X_CLUSTER_CLIENT_IP',
                  r.META['REMOTE_ADDR'])
def myview(request):
  # Use `X-Cluster-Client-IP` but fall back to REMOTE_ADDR.
  return HttpResponse()

不过需要注意如果和django rest framwork一起使用的话,要将Ratelimit 装饰器放到第一行,如下:

@ratelimit(key='user', rate='1/3s', block=True, method=ratelimit.ALL)
@api_view(['POST', 'GET'])
@csrf_exempt
def api_get_level(request):

否则会导致如下的错误信息:

IndexError at /rest-api/level/
tuple index out of range
Request Method: GET
Request URL: http://192.168.1.195:8006/rest-api/level/
Django Version: 2.2.7
Exception Type: IndexError
Exception Value: 
tuple index out of range
Exception Location: F:\PyCharmProjects\server\venv\lib\site-packages\ratelimit\decorators.py in _wrapped, line 23
Python Executable: F:\PyCharmProjects\server\venv\Scripts\python.exe
Python Version: 3.7.5
Python Path: 
['F:\\PyCharmProjects\\server\\TaichiGameServer',
 'I:\\Python37-64\\python37.zip',
 'I:\\Python37-64\\DLLs',
 'I:\\Python37-64\\lib',
 'I:\\Python37-64',
 'F:\\PyCharmProjects\\server\\venv',
 'F:\\PyCharmProjects\\server\\venv\\lib\\site-packages',
 'F:\\PyCharmProjects\\server\\venv\\lib\\site-packages\\setuptools-39.1.0-py3.7.egg']
Server time: Tue, 24 Dec 2019 09:49:01 +0800
 
Traceback (most recent call last):
 File "F:\PyCharmProjects\server\venv\lib\site-packages\django\core\handlers\exception.py", line 34, in inner
  response = get_response(request)
 File "F:\PyCharmProjects\server\venv\lib\site-packages\django\core\handlers\base.py", line 115, in _get_response
  response = self.process_exception_by_middleware(e, request)
 File "F:\PyCharmProjects\server\venv\lib\site-packages\django\core\handlers\base.py", line 113, in _get_response
  response = wrapped_callback(request, *callback_args, **callback_kwargs)
 File "F:\PyCharmProjects\server\venv\lib\site-packages\django\views\decorators\csrf.py", line 54, in wrapped_view
  return view_func(*args, **kwargs)
 File "F:\PyCharmProjects\server\venv\lib\site-packages\django\views\generic\base.py", line 71, in view
  return self.dispatch(request, *args, **kwargs)
 File "F:\PyCharmProjects\server\venv\lib\site-packages\rest_framework\views.py", line 505, in dispatch
  response = self.handle_exception(exc)
 File "F:\PyCharmProjects\server\venv\lib\site-packages\rest_framework\views.py", line 465, in handle_exception
  self.raise_uncaught_exception(exc)
 File "F:\PyCharmProjects\server\venv\lib\site-packages\rest_framework\views.py", line 476, in raise_uncaught_exception
  raise exc
 File "F:\PyCharmProjects\server\venv\lib\site-packages\rest_framework\views.py", line 502, in dispatch
  response = handler(request, *args, **kwargs)
 File "F:\PyCharmProjects\server\venv\lib\site-packages\rest_framework\decorators.py", line 50, in handler
  return func(*args, **kwargs)
 File "F:\PyCharmProjects\server\venv\lib\site-packages\django\views\decorators\csrf.py", line 54, in wrapped_view
  return view_func(*args, **kwargs)
 File "F:\PyCharmProjects\server\venv\lib\site-packages\ratelimit\decorators.py", line 23, in _wrapped
  request = args[1]
IndexError: tuple index out of range

总结

以上所述是小编给大家介绍的Django 限制访问频率的思路详解,希望对大家有所帮助,如果大家有任何疑问请给我留言,小编会及时回复大家的。在此也非常感谢大家对【听图阁-专注于Python设计】网站的支持!
如果你觉得本文对你有帮助,欢迎转载,烦请注明出处,谢谢!

相关文章

数据挖掘之Apriori算法详解和Python实现代码分享

数据挖掘之Apriori算法详解和Python实现代码分享

关联规则挖掘(Association rule mining)是数据挖掘中最活跃的研究方法之一,可以用来发现事情之间的联系,最早是为了发现超市交易数据库中不同的商品之间的关系。(啤酒与尿...

Python3 处理JSON的实例详解

Python3 处理JSON的实例详解 真的好简单,灰常简单 import os, io, sys, re, time, base64, json import webbrowser...

pandas中read_csv的缺失值处理方式

今天遇到的问题是,要将一份csv数据读入dataframe,但某些列中含有NA值。对于这些列来说,NA应该作为一个有意义的level,而不是缺失值,但read_csv函数会自动将类似的缺...

python实现每次处理一个字符的三种方法

本文实例讲述了python每次处理一个字符的三种方法。分享给大家供大家参考。 具体方法如下: a_string = "abccdea" print 'the first' f...

详解windows python3.7安装numpy问题的解决方法

详解windows python3.7安装numpy问题的解决方法

我的是win7的系统,去python官网下载python3.7安装 CMD  #打开命令窗口 pip install numpy #在cmd中输入 提示 需要c++14....