django-ratelimit | Cache-based rate-limiting for Django
kandi X-RAY | django-ratelimit Summary
kandi X-RAY | django-ratelimit Summary
Cache-based rate-limiting for Django
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Top functions reviewed by kandi - BETA
- Return the IP address of the request
- Return the user or IP
django-ratelimit Key Features
django-ratelimit Examples and Code Snippets
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Trending Discussions on django-ratelimit
QUESTION
What is the best way to limit form submissions in Django? The form should be only submitted 5 times from the same IP in one hour, is there a way to do that in Django?
I tried Django Ratelimit but it doesn't really work, because the traffic doesn't get blocked.
...ANSWER
Answered 2021-Dec-21 at 09:18Follow up answer.
I used Memcache to check if a user submitted the same form more than five times in a specific timeframe. Worked very well and is quite simple to do.
QUESTION
I am using the following
...ANSWER
Answered 2021-Oct-05 at 09:47I was looking at the wrong place. By default, redis has databases indexed from 0 to 15. In my Django settings.py
, I am using database with index 1 for my cache. I can select that database using redis-cli -n -1
. So,
QUESTION
I am attempting to use a method decorator so I can apply a decorator to the get_queryset method. My main goal is to limit the number of GET requests per minute to avoid query spam. Although, the problem is the decorator keeps throwing an error as written in the title. I've tried switching the order of and adding the self and request parameters, but so far no luck. Thanks!
Ratelimit Library: https://django-ratelimit.readthedocs.io/en/stable/usage.html (Ctrl-F to class-based views section.)
...ANSWER
Answered 2020-Oct-11 at 23:48There are some problems here:
- a mixin should be listed before the view, so
ConnectMe(LoginRequiredMixin, ListView)
; - the method decorator should decorate the dispatch method; and
- the
.get_queryset()
method [Django-doc] does not take arequest
parameter.
You thus implement this like:
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Install django-ratelimit
You can use django-ratelimit like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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