Failing to remove all of the rules which were added causes action at a
distance with other tests. The two methods were also only used by
test code, making their existence in zerver.lib.rate_limiter clearly
misplaced.
This fixes one instance of a mis-balanced add/remove, which caused
tests to start failing if run non-parallel and one more anonymous
request was added within a rate-limit-enabled block.
Because rate_limit_request_by_ip is the only caller of it, it is safe
for us to inline RateLimitedIpAddr and remove this helper. This ensures
that we have consistent internals for rate limiting functions, which all
have a should_rate_limit check.
Signed-off-by: Zixuan James Li <p359101898@gmail.com>
This change incorporate should_rate_limit into rate_limit_user and
rate_limit_request_by_ip. Note a slight behavior change to other callers
to rate_limit_request_by_ip is made as we now check if the client is
eligible to be exempted from rate limiting now, which was previously
only done as a part of zerver.lib.rate_limiter.rate_limit.
Now we mock zerver.lib.rate_limiter.RateLimitedUser instead of
zerver.decorator.rate_limit_user in
zerver.tests.test_decorators.RateLimitTestCase, because rate_limit_user
will always be called but rate limit only happens the should_rate_limit
check passes;
we can continue to mock zerver.lib.rate_limiter.rate_limit_ip, because the
decorated view functions call rate_limit_request_by_ip that calls
rate_limit_ip when the should_rate_limit check passes.
We need to mock zerver.decorator.rate_limit_user for SkipRateLimitingTest
now because rate_limit has been removed. We don't need to mock
RateLimitedUser in this case because we are only verifying that
the skip_rate_limiting flag works.
To ensure coverage in add_logging_data, a new test case is added to use
a web_public_view (which decorates the view function with
add_logging_data) with a new flag to check_rate_limit_public_or_user_views.
Signed-off-by: Zixuan James Li <p359101898@gmail.com>
This allows us to avoid importing from zilencer conditionally in
zerver.lib.rate_limiter, as we make rate limiting self-contained now.
Signed-off-by: Zixuan James Li <p359101898@gmail.com>
This refactors the test case alongside, since normal views accessed by
remote server do not get rate limited by remote server anymore.
Signed-off-by: Zixuan James Li <p359101898@gmail.com>
This refactors rate limit related functions from `zerver.decorator` to
zerver.lib.rate_limiter.
We conditionally import `RemoteZulipServer`, `RequestNotes`, and
`RateLimitedRemoteZulipServer` to avoid circular dependency.
Most instances of importing these functions from `zerver.decorator` got
updated, with a few exceptions in `zerver.tests.test_decorators`, where
we do want to mock the rate limiting functions imported in
`zerver.decorator`. The same goes with the mocking example in the
"testing-with-django" documentation.
Signed-off-by: Zixuan James Li <p359101898@gmail.com>
This utilizes the generic `BaseNotes` we added for multipurpose
patching. With this migration as an example, we can further support
more types of notes to replace the monkey-patching approach we have used
throughout the codebase for type safety.
This prevents a memory leak caused by the `SimpleLazyObject` instance of
`UserProfile` that create a reference loop with the request object
via `ZulipRequestNotes`.
We will no longer use the HttpRequest to store the rate limit data.
Using ZulipRequestNotes, we can access rate_limit and ratelimits_applied
with type hints support. We also save the process of initializing
ratelimits_applied by giving it a default value.
If the user is logged in, we'll stick to rate limiting by the
UserProfile. In case of requests without authentication, we'll apply the
same limits but to the IP address.
This simplifies the code, as it allows using the mechanism of converting
JsonableErrors into a response instead of having separate, but
ultimately similar, logic in RateLimitMiddleware.
We don't touch tests here because "rate limited" error responses are
already verified in test_external.py.
Fixes#2665.
Regenerated by tabbott with `lint --fix` after a rebase and change in
parameters.
Note from tabbott: In a few cases, this converts technical debt in the
form of unsorted imports into different technical debt in the form of
our largest files having very long, ugly import sequences at the
start. I expect this change will increase pressure for us to split
those files, which isn't a bad thing.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
Automatically generated by the following script, based on the output
of lint with flake8-comma:
import re
import sys
last_filename = None
last_row = None
lines = []
for msg in sys.stdin:
m = re.match(
r"\x1b\[35mflake8 \|\x1b\[0m \x1b\[1;31m(.+):(\d+):(\d+): (\w+)", msg
)
if m:
filename, row_str, col_str, err = m.groups()
row, col = int(row_str), int(col_str)
if filename == last_filename:
assert last_row != row
else:
if last_filename is not None:
with open(last_filename, "w") as f:
f.writelines(lines)
with open(filename) as f:
lines = f.readlines()
last_filename = filename
last_row = row
line = lines[row - 1]
if err in ["C812", "C815"]:
lines[row - 1] = line[: col - 1] + "," + line[col - 1 :]
elif err in ["C819"]:
assert line[col - 2] == ","
lines[row - 1] = line[: col - 2] + line[col - 1 :].lstrip(" ")
if last_filename is not None:
with open(last_filename, "w") as f:
f.writelines(lines)
Signed-off-by: Anders Kaseorg <anders@zulipchat.com>
Generated by pyupgrade --py36-plus --keep-percent-format, but with the
NamedTuple changes reverted (see commit
ba7906a3c6, #15132).
Signed-off-by: Anders Kaseorg <anders@zulip.com>
This will protect us in case of some kinds of bugs that could allow
making requests such as password authentication attempts to tornado.
Without restricting the domains to which the in-memory backend can
be applied, such bugs would lead to attackers having multiple times
larger rate limits for these sensitive requests.
The Redis-based rate limiting approach takes a lot of time talking to
Redis with 3-4 network requests to Redis on each request. It had a
negative impact on the performance of `get_events()` since this is our
single highest-traffic endpoint.
This commit introduces an in-process rate limiting alternate for
`/json/events` endpoint. The implementation uses Leaky Bucket
algorithm and Python dictionaries instead of Redis. This drops the
rate limiting time for `get_events()` from about 3000us to less than
100us (on my system).
Fixes#13913.
Co-Author-by: Mateusz Mandera <mateusz.mandera@protonmail.com>
Co-Author-by: Anders Kaseorg <anders@zulipchat.com>
If we had a rule like "max 3 requests in 2 seconds", there was an
inconsistency between is_ratelimited() and get_api_calls_left().
If you had:
request #1 at time 0
request #2 and #3 at some times < 2
Next request, if exactly at time 2, would not get ratelimited, but if
get_api_calls_left was called, it would return 0. This was due to
inconsistency on the boundary - the check in is_ratelimited was
exclusive, while get_api_calls_left uses zcount, which is inclusive.
time_reset returned from api_calls_left() was a timestamp, but
mistakenly treated as delta seconds. We change the return value of
api_calls_left() to be delta seconds, to be consistent with the return
value of rate_limit().
The information used to be stored in a request._ratelimit dict, but
there's no need for that, and a list is a simpler structure, so this
allows us to simplify the plumbing somewhat.
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().
Anders Kaseorg
Alex Vandiver
Zixuan James Li
Aman Agrawal
PIG208
Mateusz Mandera
Anders Kaseorg
Mateusz Mandera
Hashir Sarwar