`cachify` is essentially caching the return value of a function using only
the non-keyword-only arguments as the key.
The use case of the function in the backend can be sufficiently covered by
`functools.lru_cache` as an unbound cache. There is no signficant difference
apart from `cachify` overlooking keyword-only arguments, and
`functools.lru_cache` being conveniently typed.
Signed-off-by: Zixuan James Li <359101898@qq.com>
Adds request as a parameter to json_success as a refactor towards
making `ignored_parameters_unsupported` functionality available
for all API endpoints.
Also, removes any data parameters that are an empty dict or
a dict with the generic success response values.
We recently ran into a payload in production that didn't contain
an event type at all. A payload where we can't figure out the event
type is quite rare. Instead of letting these payloads run amok, we
should raise a more informative exception for such unusual payloads.
If we encounter too many of these, then we can choose to conduct a
deeper investigation on a case-by-case basis.
With some changes by Tim Abbott.
TOR users are legitimate users of the system; however, that system can
also be used for abuse -- specifically, by evading IP-based
rate-limiting.
For the purposes of IP-based rate-limiting, add a
RATE_LIMIT_TOR_TOGETHER flag, defaulting to false, which lumps all
requests from TOR exit nodes into the same bucket. This may allow a
TOR user to deny other TOR users access to the find-my-account and
new-realm endpoints, but this is a low cost for cutting off a
significant potential abuse vector.
If enabled, the list of TOR exit nodes is fetched from their public
endpoint once per hour, via a cron job, and cached on disk. Django
processes load this data from disk, and cache it in memcached.
Requests are spared from the burden of checking disk on failure via a
circuitbreaker, which trips of there are two failures in a row, and
only begins trying again after 10 minutes.
For users who are not logged in and for those who don't have
'prefers_web_public_view' set in session, we redirect them
to the default login page where they can choose to login
as spectator or authenticated user.
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.
As we only return the actual decorator as-is only if `function` is
`None`, we can use `@overload` to accurately annotate the return type
for the decorator.
This commit adds moderators and full members options for
user_group_edit_policy by using COMMON_POLICY_TYPES.
Moderators do not require to be a member of user group in
order to edit or remove the user group if they are allowed
to do so according to user_group_edit_policy.
But full members need to be a member of user group to edit
or remove the user group.
This concludes the HttpRequest migration to eliminate arbitrary
attributes (except private ones that are belong to django) attached
to the request object during runtime and migrated them to a
separate data structure dedicated for the purpose of adding
information (so called notes) to a HttpRequest.
This includes the migration of fields that require trivial changes
to be migrated to be stored with ZulipRequestNotes.
Specifically _requestor_for_logs, _set_language, _query, error_format,
placeholder_open_graph_description, saveed_response, which were all
previously set on the HttpRequest object at some point. This migration
allows them to be typed.
We don't want this rate limit to affect legitimate users so it being hit
should be abnormal - thus worth logging so that we can spot if we're
rate limiting legitimate users and can know to increase the limit.
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 option of specifying a different domain isn't used anywhere as of
now and we don't have a concrete way it could be used in the near
future. It's also getting in the way of how we want to do rate limiting
by IP, for which we'll want to apply a new domain 'api_by_ip'. That's
incompatible with how this decorator wants to determine the domain based
on the argument it receives when called to decorate a view function.
If in the future we want to have more granular control over API domains,
this can be refactored to be more general, but as of now it's just
imposing restrictions on how we can write the rate limiting code inside
it.
In addition to event filtering, we add support for registering supported
events for a webhook integration using the webhook_view decorator.
The event types are stored in the view function directly as a function
attribute, and can be later accessed via the module path and the view
function name are given (which is already specified the integrations.py)
Note that the WebhookTestCase doesn't know the name of the view function
and the module of the webhook. WEBHOOK_DIR_NAME needs to be overridden
if we want exceptions to raised when one of our test functions triggered
a unspecified event, but this practice is not enforced.
all_event_type does not need to be given even if event filters are used
in the webhook. But if a list of event types is given, it will be possible
for us to include it in the documentation while ensuring that all the
tested events are included (but not vice versa at the current stage, as
we yet not required all the events included in the list to be tested)
This guarantees that we can always access the list of all the tested
events of a webhook. This feature will be later plumbed to marcos to
display all event types dynamically in doc.md.
JsonableError has two major benefits over json_error:
* It can be raised from anywhere in the codebase, rather than
being a return value, which is much more convenient for refactoring,
as one doesn't potentially need to change error handling style when
extracting a bit of view code to a function.
* It is guaranteed to contain the `code` property, which is helpful
for API consistency.
Various stragglers are not updated because JsonableError requires
subclassing in order to specify custom data or HTTP status codes.
This avoids calling parse_user_agent twice when dealing with official
Zulip clients, and also makes the logical flow hopefully easier to read.
We move get_client_name out of decorator.py, since it no longer
belongs there, and give it a nicer name.
This ensures it is present for all requests; while that was already
essentially true via process_client being called from every standard
decorator, this allows middleware and other code to rely on this
having been set.
django.utils.translation.ugettext is a deprecated alias of
django.utils.translation.gettext as of Django 3.0, and will be removed
in Django 4.0.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
In `validate_account_and_subdomain` we check
if user's realm is not deactivated. In case
of failure of this check, we raise our standard
JsonableError. While this works well in most
cases but it creates difficulties in handling
of users with deactivated realms for non-browser
clients.
So we register a new REALM_DEACTIVATED error
code so that clients can distinguish if error
is because of deactivated account. Following
these changes `validate_account_and_subdomain`
raises RealmDeactivatedError if user's realm
is deactivated.
This error is also documented in
`/api/rest-error-handling`.
Testing: I have mostly relied on automated
backend tests to test this.
Fixes#17763.
In validate_account_and_subdomain we check if
user's account is not deactivated. In case of
failure of this check we raise our standard
JsonableError. While this works well in most
cases but it creates difficulties in handling
of deactivated accounts for non-browser clients.
So we register a new USER_DEACTIVATED error
code so that clients can distinguish if error
is because of deactivated account. Following
these changes `validate_account_and_subdomain`
raises UserDeactivatedError if user's account
is deactivated.
This error is also documented in
`/api/rest-error-handling`.
Testing: I have mostly relied on automated
backend tests to test this.
Partially addresses issue #17763.
Using web_public_guest for anonymous users is confusing since
'guest' is actually a logged-in user compared to
web_public_guest which is not logged-in and has only
read access to messages. So, we rename it to
web_public_visitor.
For users who are not authenticated, we don't need to 2fa them,
we only need it once they are trying to login.
Tweaked by tabbott to be much more readable; the new style might
require new test coverage.
These represent known errors in what the user submitted. This is
slightly complicated by UnsupportedWebhookEventType being an instance
of JsonableError.
allow_webhook_access may be true if the request allows webhook
requests, regardless of if it only used for a webhook integration.
Only actually log to the verbose webhook logger if it is explicitly a
webhook endpoint, as judged by `webhook_client_name`. This prevents
requests for `POST /api/v1/messages` from being logged to the webhook
logger if they mistakenly contain a `payload` argument.
This argument does not define if an endpoint "is a webhook"; it is set
for "/api/v1/messages", which is not really a webhook, but allows
access from webhooks.
This clears it out of the data sent to Sentry, where it is duplicative
with the indexed metadata -- and potentially exposes PHI if Sentry's
"make this issue public" feature is used.
The previous link was to "extended callable" types, which are
deprecated in favor of callback protocols. Unfortunately, defining a
protocol class can't express the typing -- we need some sort of
variadic generics[1]. Specifically, we wish to support hitting the
endpoint with additional parameters; thus, this protocol is
insufficient:
```
class WebhookHandler(Protocol):
def __call__(request: HttpRequest, api_key: str) -> HttpResponse: ...
```
...since it prohibits additional parameters. And allowing extra
arguments:
```
class WebhookHandler(Protocol):
def __call__(request: HttpRequest, api_key: str,
*args: object, **kwargs: object) -> HttpResponse: ...
```
...is similarly problematic, since the view handlers do not support
_arbitrary_ keyword arguments.
[1] https://github.com/python/typing/issues/193
`zulip.zerver.lib.webhooks.common` was very opaque previously,
especially since none of the logging was actually done from that
module.
Adjust to a more explicit logger name.
Any exception is an "unexpected event", which means talking about
having an "unexpected event logger" or "unexpected event exception" is
confusing. As the error message in `exceptions.py` already explains,
this is about an _unsupported_ event type.
This also switches the path that these exceptions are written to,
accordingly.
Before this the only way we took advantage
of the summary from UnexpectedWebhookEventType
was by looking at exc_info().
Now we just explicitly add it to the log
message, which also sets us up to call
log_exception_to_webhook_logger directly
with some sort of "summary" info
when we don't actually want a real
exception (for example, we might want to
report anomalous webhook data but still
continue the transaction).
A minor change in passing is that I move
the payload parameter lexically.
We eliminate optional parameters and replace `request_body`
with `payload`.
There is much less confusion if we just pass in `payload`,
and then we optionally re-format it if it's json.
For unclear reasons the original code was trying to
do `request_body = str(payload)` when `request_body`
was no longer being used.
It's never safe to access the mock RemoteZulipServer object; this
caused exceptions on every request in production for any server with
ZILENCER_ENABLED=False.
Django always sets request.user to a UserProfile or AnonymousUser
instance, so it's better to mimic that in the tests where we pass a
dummy request objects for rate limiter testing purposes.
The data is now stored in memory if things are happening inside tornado.
That aside, there is no reason for a comment on a rate_limit_user call
to talk about low level implementation details of that function.
I can find no evidence of it being possible to get an Exception when
accessing request.user or for it to be falsy. Django should always set
request.user to either a UserProfile (if logged in) or AnonymousUser
instance. Thus, this seems to be dead code that's handling cases that
can't happen.
Since bug https://bugs.python.org/issue3445 was resolved in Python
3.3, we can avoid the use of assigned=available_attrs(view_func) in
wraps decorator (which we were only using because we'd copied code
that handled that from Django).
Also available_attrs is now depreciated from Django 3.0 onwards.
These weren’t wrong since orjson.JSONDecodeError subclasses
json.JSONDecodeError which subclasses ValueError, but the more
specific ones express the intention more clearly.
(ujson raised ValueError directly, as did json in Python 2.)
Signed-off-by: Anders Kaseorg <anders@zulip.com>
The exception trace only goes from where the exception was thrown up
to where the `logging.exception` call is; any context as to where
_that_ was called from is lost, unless `stack_info` is passed as well.
Having the stack is particularly useful for Sentry exceptions, which
gain the full stack trace.
Add `stack_info=True` on all `logging.exception` calls with a
non-trivial stack; we omit `wsgi.py`. Adjusts tests to match.
In a decorator annotated with generic type (ViewFuncT) -> ViewFuncT,
the type variable ViewFuncT = TypeVar(…) must be instantiated to
the *same* type in both places. This amounts to a claim that the
decorator preserves the signature of the view function, which is not
the case for decorators that add a user_profile parameter.
The corrected annotations enforce no particular relationship between
the input and output signatures, which is not the ideal type we might
get if mypy supported variadic generics, but is better than enforcing
a relationship that is guaranteed to be wrong.
This removes a bunch of ‘# type: ignore[call-arg] # mypy doesn't seem
to apply the decorator’ annotations. Mypy does apply the decorator,
but the decorator’s incorrect annotation as signature-preserving made
it appear as if it didn’t.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
There seems to have been a confusion between two different uses of the
word “optional”:
• An optional parameter may be omitted and replaced with a default
value.
• An Optional type has None as a possible value.
Sometimes an optional parameter has a default value of None, or None
is otherwise a meaningful value to provide, in which case it makes
sense for the optional parameter to have an Optional type. But in
other cases, optional parameters should not have Optional type. Fix
them.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
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 saves the completely unnecessary work of mapping the Client name
to its ID. Because we had in-process caching of the immutable Client
objects, this isn't a material performance win, but it will eventually
let us delete that caching logic and have a simpler system.
mock is just a backport of the standard library’s unittest.mock now.
The SAMLAuthBackendTest change is needed because
MagicMock.call_args.args wasn’t introduced until Python
3.8 (https://bugs.python.org/issue21269).
The PROVISION_VERSION bump is skipped because mock is still an
indirect dev requirement via moto.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
Since production testing of `message_retention_days` is finished, we can
enable this feature in the organization settings page. We already had this
setting in frontend but it was bit rotten and not rendered in templates.
Here we replaced our past text-input based setting with a
dropdown-with-text-input setting approach which is more consistent with our
existing UI.
Along with frontend changes, we also incorporated a backend change to
handle making retention period forever. This change introduces a new
convertor `to_positive_or_allowed_int` which only allows positive integers
and an allowed value for settings like `message_retention_days` which can
be a positive integer or has the value `Realm.RETAIN_MESSAGE_FOREVER` when
we change the setting to retain message forever.
This change made `to_not_negative_int_or_none` redundant so removed it as
well.
Fixes: #14854
Anders Kaseorg
Zixuan James Li
Aman Agrawal
Lauryn Menard
Eeshan Garg
Alex Vandiver
Mateusz Mandera
Tim Abbott
sahil839
orientor
m-e-l-u-h-a-n
Steve Howell
shanukun
arpit551
Vishnu KS
Anders Kaseorg
Mateusz Mandera
Pragati Agrawal