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>
Anders Kaseorg
m-e-l-u-h-a-n
Aman Agrawal
Alex Vandiver
Steve Howell
shanukun
Tim Abbott
Mateusz Mandera
arpit551
Vishnu KS