Letting the clock tick without a reason introduces the
possibility of nondeterministic test failures depending on the execution
time. The default value when not specified is tick=True, which makes it
easy to miss.
The rule doesn't prohibit setting tick=True, as perhaps there will be
tests wanting to use that feature on purpose, but such a test should
explicitly set it to make the intent clear.
Refactor tools/lib/provision_inner to conditionally write activation commands to user's bash profile based on the host machine type. Automatic activation now skipped for native linux containers.
Fixes#15029
Semgrep 0.118.0 changed the default of --scan-unknown-extensions to
false. It also seems that it no longer respects --lang (or never
did), so rename the config file to reflect that it only includes
Python rules, to make it clear that additional languages will require
separate config files.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
This commit creates a new file integration_url_modal.js which
now contains the code for showing integration url modal.
Since show_generate_integration_url_modal is used in multiple
places, this change helps us in avoiding import cycles.
This commit creates a new file user_deactivation_ui.js which
now contains the code for showing deactivation modal for user
and bots.
Since confirm_deactivation and confirm_bot_deactivation functions
are used in multiple places, this change helps us in avoiding
import cycles.
This commit moves initialize_custom_pronouns_type_fields,
initialize_custom_user_type_fields, initialize_custom_date_type_fields
and append_custom_profile_fields functions to the new file
custom_profile_fields_ui.js from settings_account.js since
they are used for both showing custom profile fields in
"Profile" settings panel and "Edit user" form shown in
user profile modal. This change also helps us in avoiding
import cycles.
We already allowed reruns for failing tests, and this adds
the ability to rerun tests that succeeded as well, which is
helpful for debugging flaky tests.
The intent behind this commit is to tidy up how we handle user info
popovers. The first step is to move everything related to them into
its own module. This commit should not have any functional changes.
The type annotation for functools.partial uses unchecked Any for all
the function parameters (both early and late). returns.curry.partial
uses a mypy plugin to check the parameters safely.
https://returns.readthedocs.io/en/latest/pages/curry.html
Signed-off-by: Anders Kaseorg <anders@zulip.com>
This is a preparatory commit before we migrate `user_group_popover`
from Bootstrap to Tippy library.
The previous implementation was weirdly sharing the logic around
`current_message_info_popover_elem` with the user info popovers based
on a message; very likely an unfortunate latent bug caused by
copy/paste.
To address that, we need to add dedicated functions like
get_user_group_popover_items to avoid breaking keyboard navigation
with this extraction.
We want to reject ambiguous type annotations that set ApiParamConfig
inside a Union. If a parameter is Optional and has a default of None, we
prefer Annotated[Optional[T], ...] over Optional[Annotated[T, ...]].
This implements a check that detects Optional[Annotated[T, ...]] and
raise an assertion error if ApiParamConfig is in the annotation. It also
checks if the type annotation contains any ApiParamConfig objects that
are ignored, which can happen if the Annotated type is nested inside
another type like List, Union, etc.
Note that because
param: Annotated[Optional[T], ...] = None
and
param: Optional[Annotated[Optional[T], ...]] = None
are equivalent in runtime prior to Python 3.11, there is no way for us
to distinguish the two. So we cannot detect that in runtime.
See also: https://github.com/python/cpython/issues/90353
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.
Anders Kaseorg
Mateusz Mandera
Sudip Bose
Hardik Dharmani
Aman Agrawal
Sahil Batra
Tim Abbott
YashRE42
Daniil Fadeev
evykassirer
Alex Vandiver
Lalit Kumar Singh
Zixuan James Li