The closest($stream_row) logic is unnecessary, and worth cleaning up
because we'll be adding other calls from places that don't have a
stream row object.
narrow is a term that is intended to only apply to a message feed
view; it comes from "narrowing the set of messages you're looking
at from the All messages" so switching it to something different
makes sense.
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.
Adds a section to the demo organizations help center article about
configuring an email and password for demo organization owners.
For demo organization warning banners about needing to configure
an email, add a link to the new section in the help article.
Also, adds a related articles section to the help center article,
and updates the current draft text for changes in how the demo
organization feature is being implemented.
To reduce extra work for translators, make text for warning banners
and tooltips in demo organizations when the organization owner has
not configured an email address consistent.
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.
The callers of function `upload_widget.build_direct_upload_widget` always
have a defined value for the parameter `max_file_upload_size`, hence we
should just remove the default value for this parameter here.
As stated in the deactivate function comments, it should be called
via `browser_history.go_to_location` so that all the correct
functions are called like recent view being hidden.
This fixes a bug where searching for nothing results in activating
all messages narrow without hiding recent view. Now, all messages
should be activated as expected.
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
Tim Abbott
Aman Agrawal
Lalit Kumar Singh
Anders Kaseorg
Mateusz Mandera
Adrián Oliva
N-Shar-ma
Lauryn Menard
Alex Vandiver
Karl Stolley
Zixuan James Li