Extract some logical segments of test_openapi_arguments into
individual (helper) functions. E.g. extraction of the regex
to OpenAPI URL format conversion and testing.
The previous code for the validator test was fairly messy due to
checking for both formats of the openapi url, one with
<variable_name> and the other with {variable_name}. To eliminate
this, we have standardized the format and restricted it to
{variable_name} as per the official format at:
https://swagger.io/docs/specification/describing-parameters.
In addition to the test which checks to to see if each endpoint in
code (urls.py) is documented in the openapi documentation (and with
the right arugments). We now also have a test to see if every
endpoint in the openapi documentation is a legitimate endpoint
also existing in code.
We do this by piggy-backing on the work done be the former test and
using set operations. This method avoid the need for an extra loop
and it uses set operations for additional speed and ease of reading.
The main things targeted by the refactor are the usage of comments and
moving the top-level variables to the scope of the class.
The movement of variables was to facilitate allowing us to perform
a reverse mapping test from OpenAPI URLs -> Code defined URLs.
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.
In each url of urls.py, if we want to mark an endpoint as being
intentionally undocumented, then in the kwargs instead of directly
mapping like 'METHOD': 'zerver.views.package.foo', we can provide
a tag called 'intentionally_undocumented' and map like:
'METHOD': ('zerver.views.package.foo', {'intentionally_undocumented'}).
If an endpoint is marked as intentionally undocumented, but we find
some OpenAPI documentation for it then we'll throw an error, in which
case either the 'intentionally_undocumented' tag should be removed or
the faulty documentation should be removed.
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.
We found out in #9953 that, appparently, loading the OpenAPI file was
taking abut a 5% of the Zulip server startup time.
Since in many cases (especially in development) having the file loaded
won't be necessary at all, we read it on the first time data from the
OpenAPI spec is needed.
Tweaked by tabbott to add a test.
Automatically detect if the OpenAPI spec file has been modified since
the last time it was loaded into memory, and if it has, automatically
reload it to have the latest version.
This feature is designed with development environments in mind. The main
benefit is being able to see the changes made to the OpenAPI document
without needing to restart the development server, which is tedious and
slows the documentation workflow down.
Hemanth V. Alluri
Tim Abbott
Yago González