This utilizes the generic `BaseNotes` we added for multipurpose
patching. With this migration as an example, we can further support
more types of notes to replace the monkey-patching approach we have used
throughout the codebase for type safety.
This prevents a memory leak arising from Python’s inability to collect
a reference cycle from a WeakKeyDictionary value to its key
(https://bugs.python.org/issue44680).
Signed-off-by: Anders Kaseorg <anders@zulip.com>
We add "ignored_parameters_unsupported" field to the response object
of 'PATCH /settings' endpoint. This will contain the parameters
passed to the endpoint which are not changed by the endpoint and are
ignored.
This will help in removing the other fields like "full_name" from
response which was essentially present to specify that only these
fields were updated by the endpoint and rest were ignored.
We will also change other endpoints to follow this in future.
We create a class called ZulipRequestNotes as a new home to all the
additional attributes that we add to the Django HttpRequest object.
This allows mypy to do the typecheck and also enforces type safety.
Most of the attributes are added in the middleware, and thus it is
generally safe to assert that they are not None in a code path that
goes through the middleware. The caller is obligated to do manual
the type check otherwise.
This also resolves some cyclic dependencies that zerver.lib.request
have with zerver.lib.rate_limiter and zerver.tornado.handlers.
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>
This makes it much more clear that this feature does JSON encoding,
which previously was only indicated in the documentation.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
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>
We only use this in a few places, but they're really important places
for understanding the types in the codebase, and so it's worth having
a bit of expository documentation explaining how we use it.
(And I expect we'll add more with time).
Old: a validator returns None on success and returns an error string
on error.
New: a validator returns the validated value on success and raises
ValidationError on error.
This allows mypy to catch mismatches between the annotated type of a
REQ parameter and the type that the validator actually validates.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
Use read-only types (List ↦ Sequence, Dict ↦ Mapping, Set ↦
AbstractSet) to guard against accidental mutation of the default
value.
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>
‘req_var in request.GET’ was previously believed to be slow from
profiling results. However, the real explanation for those profiling
results is that WSGIRequest.GET is a lazy cached property, so there’s
no reason to avoid it if we’re accessing request.GET anyway.
Signed-off-by: Anders Kaseorg <anders@zulipchat.com>
A sloppy implementation of the main has_request_variables wrapper
function meant that it did two very inefficient things:
* To combine together the GET and POST parameters, it would make a
copy of the request.GET QueryDict object, which combined with the
fact that these objects are slow to access, consumed about 90us per
argument.
* Doing this in a loop (one time per argument), rather than once,
which resulted in us doing this 11 times for a `GET /events` query.
Fixing this to just make a dictionary and combine things with some
small loops saved about 1 millisecond from the total runtime of GET
/events (for comparison, the total actual work of that view function
is about 700ms).
We need to fix at least one test that used a bad mock HttpRequest
object that didn't have a .GET property.
Then, find and fix a predictable number of previous misuses.
With a small change by tabbott to preserve backwards compatibility for
sending `yes` for the `forged` field.
Signed-off-by: Anders Kaseorg <anders@zulipchat.com>
Most of the failures were due to parameters that are not intended to
be used by third-party code, so the correct fix for those was the set
intentionally_undocumented=True.
Fixes#12969.
Previously, our OpenAPI documentation validation was failing for some
endpoints because it didn't account for the `in: path` type of
parameter, resulting in a mismatch between what was declared via REQ
and what was declared in the OpenAPI docs.
We fix this by excluding the path type parameters in both places from
what's considered by documentation using the `path_only` flag.
I doubt this is the correct long-term fix; in particular, I don't
think we're actually running the validators for these path-only
parameters. The examples that exist today are all IDs with validators
for being non-negative numbers, but longer-term I think we'll want to
do something different (possibly at the REQ layer, see the TODO).
By importing a few view modules in the validation test itself we
can remove a few endpoints which were marked as buggy. What was
happening was that the view functions weren't imported and hence
the arguments map was not filled. Thus the test complained that
there was documentation for request parameters that seemed to be
missing in the code. Also, for the events register endpoint, we
have renamed one of the documented request parameters from
"stream" to "topic" (the API itself was not modified though).
We add a new "documentation_pending" attribute to req variables
so that any arguments not currently documented but should be
documented can be properly accounted for.
This will allow us to mark a REQ variable as intentionally
undocumented. With this, we can remove some of the endpoints marked
as "buggy" even though they're not actually buggy, we just needed to
specify certain parameters as intentionally undocumented (e.g. the
stream_id for the /users/me/subscriptions/muted_topics endpoint.)
Any REQ variable with intentionally_undocumentated set to True
will not be added to the arguments_map data structure.
For some of the other "buggy" endpoints, we would want to mark the
entire endpoint as being undocumented intentionally via. the urls.py
file.
This validation is incomplete, in large part because of the long list
of TODOs in this code. But this test should provide a ton of support
for us in avoiding regressions as we work towards having complete API
documentation.
See https://github.com/zulip/zulip/issues/12521 for a bunch of
follow-up improvements.
Our webhook-errors.log file is riddled with exceptions that are
logged when a webhook is incorrectly configured to send data in
a non-JSON format. To avoid this, api_key_only_webhook_view
now supports an additional argument, notify_bot_owner_on_invalid_json.
This argument, when True, will send a PM notification to the bot's
owner notifying them of the configuration issue.
This is helpful for cases where an argument is supposed to be a normal
string, and we want to use a Zulip validator function to do basic
things like check its length.