Now, the topic wildcard mention follows the following
rules:
* If the topic has less than 15 participants , anyone
can use @ topic mentions.
* For more than 15, the org setting 'wildcard_mention_policy'
determines who can use @ topic mentions.
Earlier, topic wildcard mentions followed the same restriction
as stream wildcard mentions, which was incorrect.
Fixes part of #27700.
This makes it possible for a self-hosted realm administrator to
directly access a logged-page on the push notifications bouncer
service, enabling billing, support contacts, and other administrator
for enterprise customers to be managed without manual setup.
This endpoint verifies that the services that Zulip needs to function
are running, and Django can talk to them. It is designed to be used
as a readiness probe[^1] for Zulip, either by Kubernetes, or some other
reverse-proxy load-balancer in front of Zulip. Because of this, it
limits access to only localhost and the IP addresses of configured
reverse proxies.
Tests are limited because we cannot stop running services (which would
impact other concurrent tests) and there would be extremely limited
utility to mocking the very specific methods we're calling to raising
the exceptions that we're looking for.
[^1]: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/
The goal of typed_endpoint is to replicate most features supported by
has_request_variables, and to improve on top of it. There are some
unresolved issues that we don't plan to work on currently. For example,
typed_endpoint does not support ignored_parameters_supported for 400
responses, and it does not run validators on path-only arguments.
Unlike has_request_variables, typed_endpoint supports error handling by
processing validation errors from Pydantic.
Most features supported by has_request_variables are supported by
typed_endpoint in various ways.
To define a function, use a syntax like this with Annotated if there is
any metadata you want to associate with a parameter, do note that
parameters that are not keyword-only are ignored from the request:
```
@typed_endpoint
def view(
request: HttpRequest,
user_profile: UserProfile,
*,
foo: Annotated[int, ApiParamConfig(path_only=True)],
bar: Json[int],
other: Annotated[
Json[int],
ApiParamConfig(
whence="lorem",
documentation_status=NTENTIONALLY_UNDOCUMENTED
)
] = 10,
) -> HttpResponse:
....
```
There are also some shorthands for the commonly used annotated types,
which are encouraged when applicable for better readability and less
typing:
```
WebhookPayload = Annotated[Json[T], ApiParamConfig(argument_type_is_body=True)]
PathOnly = Annotated[T, ApiParamConfig(path_only=True)]
```
Then the view function above can be rewritten as:
```
@typed_endpoint
def view(
request: HttpRequest,
user_profile: UserProfile,
*,
foo: PathOnly[int],
bar: Json[int],
other: Annotated[
Json[int],
ApiParamConfig(
whence="lorem",
documentation_status=INTENTIONALLY_UNDOCUMENTED
)
] = 10,
) -> HttpResponse:
....
```
There are some intentional restrictions:
- A single parameter cannot have more than one ApiParamConfig
- Path-only parameters cannot have default values
- argument_type_is_body is incompatible with whence
- Arguments of name "request", "user_profile", "args", and "kwargs" and
etc. are ignored by typed_endpoint.
- positional-only arguments are not supported by typed_endpoint. Only
keyword-only parameters are expected to be parsed from the request.
- Pydantic's strict mode is always enabled, because we don't want to
coerce input parsed from JSON into other types unnecessarily.
- Using strict mode all the time also means that we should always use
Json[int] instead of int, because it is only possible for the request
to have data of type str, and a type annotation of int will always
reject such data.
typed_endpoint's handling of ignored_parameters_unsupported is mostly
identical to that of has_request_variables.
Because the third party might not be expecting a 400 from our
webhooks, we now instead use 200 status code for unknown events,
while sending back the error to Sentry. Because it is no longer an error
response, the response type should now be "success".
Fixes#24721.
We previously allowed moving messages that have passed the time limit
using "change_all" value for "propagate_mode" parameter. This commit
changes the behavior to not allow moving messages (both stream and
topic edit) that have passed the time limit for non-admin and
non-moderator users.
Iterating over ValidatorError does not necessarily return a tuple. This
uses the `message_dict` property on `ValidationError` instead to make
sure that we always get a `dict` (it otherwise raises an `AttributeError`
when the `dict` is not available).
Signed-off-by: Zixuan James Li <p359101898@gmail.com>
We have now decided to not continue with the stream administrator
concept as we are changing the permissions model to be based on
user groups as per #19525. So, this commit updates the error message
to "Must be an organization administrator".
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.
This commit updates the error message returned when the maximum
invite limit for the day. We update the error returned by API to
only mention that the limit is reached and add the suggestion
to use multi-use link or contact support in the message shown
in webapp.
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.
Previously we were just returning a dict containing a message id when
trying to mirror a already sent message in 'zephyr_mirror' cases.
This commit changes this behaviour to raise an exception when trying
to mirror an already sent message by adding a new exception class
ZephyrMessageAlreadySentException and then the caller returns the
message_id directly, instead of calling do_send_messages which also
returns a list of size one containing the message_id only.
This is a prep commit for changing the return type of check_message to
be a dataclass instead of a Dict as now we have only single output for
check_message.
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.
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.
When user requests for a realm that doesn't exists, we raise
a InvalidSubdomainError.
This reduces our effort at repeatedly ensuring realm is valid
in request in web-public queries.
We raise two types of json_unauthorized when
MissingAuthenticationError is raised. Raising the one
with www_authenticate let's the client know that user needs
to be logged in to access the requested content.
Sending `www_authenticate='session'` header with the response
also stops modern web-browsers from showing a login form to the
user and let's the client handle it completely.
Structurally, this moves the handling of common authentication errors
to a single shared middleware exception handler.
We raise two types of json_unauthorized when
MissingAuthenticationError is raised. Raising the one
with www_authenticate let's the client know that user needs
to be logged in to access the requested content.
Sending `www_authenticate='session'` header with the response
also stops modern web-browsers from showing a login form to the
user and let's the client handle it completely.
Structurally, this moves the handling of common authentication errors
to a single shared middleware exception handler.
The new Stream administrator role is allowed to manage a stream they
administer, including:
* Setting properties like name, description, privacy and post-policy.
* Removing subscribers
* Deactivating the stream
The access_stream_for_delete_or_update is modified and is used only
to get objects from database and further checks for administrative
rights is done by check_stream_access_for_delete_or_update.
We have also added a new exception class StreamAdministratorRequired.
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>
Prakhar Pratyush
Mateusz Mandera
Anders Kaseorg
Alex Vandiver
Zixuan James Li
Sahil Batra
Eeshan Garg
Tim Abbott
PIG208
Vishnu KS
m-e-l-u-h-a-n
sahil839
Aman Agrawal
Mohit Gupta