That's the value that matters to the code that catches the exception,
and this change allows simplifying the plumbing somewhat, and gets rid
of the get_rate_limit_result_from_request function.
Instead of operating on RateLimitedObjects, and making the classes
depend on each too strongly. This also allows getting rid of get_keys()
function from RateLimitedObject, which was a redis rate limiter
implementation detail. RateLimitedObject should only define their own
key() function and the logic forming various necessary redis keys from
them should be in RedisRateLimiterBackend.
type().__name__ is sufficient, and much readable than type(), so it's
better to use the former for keys.
We also make the classes consistent in forming the keys in the format
type(self).__name__:identifier and adjust logger.warning and statsd to
take advantage of that and simply log the key().
As more types of rate limiting of requests are added, one request may
end up having various limits applied to it - and the middleware needs to
be able to handle that. We implement that through a set_response_headers
function, which sets the X-RateLimit-* headers in a sensible way based
on all the limits that were applied to the request.
Previous cleanups (mostly the removals of Python __future__ imports)
were done in a way that introduced leading newlines. Delete leading
newlines from all files, except static/assets/zulip-emoji/NOTICE,
which is a verbatim copy of the Apache 2.0 license.
Signed-off-by: Anders Kaseorg <anders@zulipchat.com>
Fixes#11209.
This requires changing how zadd is used in rate_limiter.py:
In redis-py >= 3.0 the pairs to ZADD need to be passed as a dictionary,
not as *args or **kwargs, as described at
https://pypi.org/project/redis/3.2.1/ in the section
"Upgrading from redis-py 2.X to 3.0".
The rate_limiter change has to be in one commit with the redis upgrade,
because the dict format is not supported before redis-py 3.0.
We create rate_limit_entity as a general rate-limiting function for
RateLimitedObjects, from code that was possible to abstract away from
rate_limit_user and that will be used for other kinds of rate limiting.
We make rate_limit_user use this new general framework from now.
We should rate-limit users when our rate limiter deadlocks trying to
increment its count; we also now log at warning level (so it doesn't
send spammy emails) and include details on the user and route was, so
that we can properly investigate whether the rate-limiting on the
route was in error.
This gives us type-checking, to help prevent bugs like the
last couple of commits fixed in our Tornado code and our
missed-message email handling. Fortunately no behavior
changes are needed here.
After annotating rate_limiter.rules, mypy complained that rules does
not support cmp. So use key to customize sort instead of cmp.
Python docs also recommend using key over cmp.
Here we introduce a new Django app, zilencer. The intent is to not have
this app enabled on LOCALSERVER instances, and for it to grow to include
all the functionality we want to have in our central server that isn't
relevant for local deployments.
Currently we have to modify functions in zerver/* to match; in the
future, it would be cool to have the relevant shared code broken out
into a separate library.
This commit inclues both the migration to create the models as well as a
data migration that (for non-LOCALSERVER) creates a single default
Deployment for zulip.com.
To apply this migration to your system, run:
./manage.py migrate zilencer
(imported from commit 86d5497ac120e03fa7f298a9cc08b192d5939b43)
This needs to be deployed to both staging and prod at the same
off-peak time (and the schema migration run).
At the time it is deployed, we need to make a few changes directly in
the database:
(1) UPDATE django_content_type set app_label='zerver' where app_label='zephyr';
(2) UPDATE south_migrationhistory set app_name='zerver' where app_name='zephyr';
(imported from commit eb3fd719571740189514ef0b884738cb30df1320)
Mateusz Mandera
Anders Kaseorg
Anders Kaseorg
Tim Abbott
Aditya Bansal
rht
Greg Price
Umair Khan
Raghav Jajodia
Robert Hönig
Taranjeet
Eklavya Sharma
Tim Abbott
Ashish
Zev Benjamin
Luke Faraone
Tim Abbott