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 designed to help PostgreSQL have better specificity and
locality in its indexes. Subsequent commits will adjust the code to
make sure that we use these indexes rather than the `realm_id`-less
versions.
We do not add a `realm_id` variation to the full-text index, since
it is a GIN index; multi-column GIN indexes are not terribly
performant, require the `btree_gin` extension for `int` types (which
requires superuser privileges on PostgreSQL 12 and earlier), and
cannot be consistently added concurrently on running instances.
After all indexes have been made, we also run `CREATE STATISTICS` in
order to give PostgreSQL the opportunity to realize that recipient and
sender are highly correlated with message realm, allowing it to
estimate that `(realm_id, recipient_id)` is likely as specific as
matching a given `recipient_id`, instead of as likely as matching
`realm_id` times matching a `recipient_id`. Finally, those statistics
must be filled by `ANALYZE zerver_message`, which is run last.
Matching the topic exactly, as opposed to case-insensitively, is not a
common operation, and one that we want to make difficult to do
accidentally. Inline the single use case of it.
We now have a `realm_id` on Message; use it, rather than having to
check the sender's realm. This is theoretically different for
cross-realm bots, but these changes are all in tests where that does
not apply.
This algorithm existed in multiple places, with different queries.
Since we only access properties in the UserMessage table, we
standardize on the much simpler and faster Index Only Scan, rather
than a merge join.
When searching for links inside a topic name, the question mark (?)
was used to split the topic. If a URL had a query after the URL
(e.g., "?foo=bar"), then the query was trimmed from the URL.
Removing the question mark from `basic_link_splitter` is sufficient
to fix this issue. The `get_web_link_regex` function then removes
the trailing punctuation if any, including literal question marks.
Fixes#26368.
When there was no space right after `/todo` but there was content on a
new line, the message would be rendered plainly, not as a todo widget.
This was because we split on only the space character to then check if
the first token was a valid widget.
Now we split on both spaces and newlines to extract the widget name,
irrespective of whether it is followed by a space or a newline. This
results in the message being rendered as a todo widget as expected.
Rename existing shortened references to demo organizations, like
`is_demo_org` or `demo-org-warning`, that have been used in the
codebase so far and replace them to be like the `models.py`
variable: `Realm.demo_organization_scheduled_deletion_date`.
This REDOS was not exploitable, as its content is only read from
checked-in files; regardless, simplify it to not backtrack. We also
do not actually have any location which use leading or trailing
whitespace, so remove those optional bits.
Our logic for extracting strings from templates did not properly
handle the syntax for code containing whitespace control characters,
resulting in a couple strings from subscribe_to_more_streams.hbs not
being processed.
The Librato webhook requires a mapping (which should be considered
immutable) with a default value. Ruff reports a false-positive due to
the Json wrapper.
Instead of a WildValue, the JSON/Sentry webhook expect the request body to be a
dict.
For the JSON webhook, json.dumps accepts other types of input as well and the
constraint is not necessary, but this serve as a good example of an alternative
use of WebhookPayload to describe a payload that is intended to be parsed from
the entire request body from JSON, into a type other than WildValue.
Transifex has parameters that need to be parsed from JSON and converted
to int. Note that we use Optional[Json[int]] instead of
Json[Optional[int]] to replicate the behavior of json_validator. This
caveat is explained in a new test called test_json_optional.
These webhooks have some URL query params that do not need additional
validation or parsing from JSON. So WebhookPaylaod is not applicable to
these webhooks.
This converts most webhook integration views to use @typed_endpoint instead
of @has_request_variables, rewriting REQ parameters. For these
webhooks, it simply requires switching the decorator, rewriting the
type annotation of payload/message to WebhookPayload[WildValue], and
removing the REQ default that defines the to_wild_value converter.
This function is used by almost all webhooks.
To support it, we use the "api_ignore_parameter" flag so that positional
arguments like topic and body that are not intended to be parsed from
the request can be ignored.
This demonstrates the use of BaseModel to replace a check_dict_only
validator.
We also add support to referring to $defs in the OpenAPI tests. In the
future, we can descend down each object instead of mapping them to dict
for more accurate checks.
This demonstrates some basic use cases of the Json[...] wrapper with
@typed_endpoint.
Along with this change we extend test_openapi so that schema checking
based on function signatures will still work with this new decorator.
Pydantic's TypeAdapter supports dumping the JSON schema of any given type,
which is leveraged here to validate against our own OpenAPI definitions.
Parts of the implementation will be covered in later commits as we
migrate more functions to use @typed_endpoint.
See also:
https://docs.pydantic.dev/latest/api/type_adapter/#pydantic.type_adapter.TypeAdapter.json_schema
For the OpenAPI schema, we preprocess it mostly the same way. For the
parameter types though, we no longer need to use
get_standardized_argument_type to normalize type annotation, because
Pydantic dumps a JSON schema that is compliant with OpenAPI schema
already, which makes it a lot convenient for us to compare the types
with our OpenAPI definitions.
Do note that there are some exceptions where our definitions do not match
the generated one. For example, we use JSON to parse int and bool parameters,
but we don't mark them to use "application/json" in our definitions.
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.
_default_manager is the same as objects on most of our models. But
when a model class is stored in a variable, the type system doesn’t
know which model the variable is referring to, so it can’t know that
objects even exists (Django doesn’t add it if the user added a custom
manager of a different name). django-stubs used to incorrectly assume
it exists unconditionally, but it no longer does.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
Commit cf0eb46afc added this to let
Django understand the CREATE INDEX CONCURRENTLY statement that had
been hidden in a RunSQL query in migration 0244. However, migration
0245 explained that same index to Django in a different way by setting
db_index=True. Move that to 0244 where the index is actually created,
using SeparateDatabaseAndState.
Also remove the part of the SQL in 0245 that was mirrored by dummy
state_operations, and replace it with real operations.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
This is important because the "guests" value isn't one that we'd
expect anyone to pick intentionally, and in particular isn't an
available option for the similar/adjacent "email invitations" setting.
Earlier whenever a new invitation is created a event was sent
to only admin users. So, if invites by a non-admins user are changed
the invite panel does not live update.
This commit makes changes to also send event to non-admin
user if invites by them are changed.
This commit rename the existing setting `Who can invite users to this
organization` to `Who can send email invitations to new users` and
also renames all the variables related to this setting that do not
require a change to the API.
This was done for better code readability as a new setting
`Who can create invite links` will be added in future commits.
This commit does the backend changes required for adding a realm
setting based on groups permission model and does the API changes
required for the new setting `Who can create multiuse invite link`.
This commit adds id_field_name field to GroupPermissionSetting
type which will be used to store the string formed by concatenation
of setting_name and `_id`.
This was already enforced via separate logic that requires an owner to
invite an owner, but it makes the intent of the code a lot more clear
if we don't have this value mysteriously absent.
Earlier there was a function to check if owner is
required to create invitations for the role specified
in invite and check for administrator was done
without any function call.
This commit adds a new function to check whether
owner or administrator is required for creating
invitations for the specified role and
refactors the code to use that new function.
This commit makes the database changes while creating internal_realm
to be done in a single transaction.
This is needed for deferring the foreign key constraints
to the end of transaction.
Previously (with ERROR_REPORTING = True), we’d stuff the entire
traceback of the initial exception into the subject line of an error
email, and then also send a separate email for the JSON 500 response.
Instead, log one error with the standard Django format.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
Rewrite the test so that we don't have a dedicated URL for testing.
dev_update_subgroups is called directly from the tests without using the
test client.
Anders Kaseorg
Alex Vandiver
Adrián Oliva
N-Shar-ma
Lauryn Menard
Tim Abbott
Zixuan James Li
Ujjawal Modi