To save the memory get cert and grade object directly from
the db because by doing that we'll override the queryset
evaluation and object won't be cached once it has gone out
of scope.
PROD-987
EnterpriseMiddleware set value of user's enterprise customer in session. In order to get value of enterprise customer it calls `enterprise/api/v1/enterprise-learner` API. Sometimes this middleware is called many times which result in many call to the under lying API and throttling of API causes 429 http errors.
We are not removing that middleware and storing value of user's enterprise customer in session inside underlying method.
ENT-1849
Removed pdb statement
These tests fail intermittently. The related jira ticket to remove flaky test can be found at: https://openedx.atlassian.net/browse/ENT-2479
The tests fail with error log output of: SafeCookieData BWC parse error: 'm3i1v99yuohzsbyjhfp4i9nktjrq4i05'
The error seems to be something to do with safe_cookie_string
- Upgrade edx-drf-extensions to 2.4.5
- Removed constraint to 2.4.0, because 2.4.2 introduces a workaround for
ARCH-1210 by putting the problematic code behind a django setting.
- Remove unused JWT_AUTH_REFRESH_COOKIE setting.
ARCH-418, ARCH-1269, ARCH-1044
fix broken toggle
Added caller in to the exception message to debug ENT-1849
Replaced `get_enterprise_learner_data` method call with `enterprise_customer_for_request` to get enterprise customer data from cache or session instead of hitting API.
This is a follow up from MST-16, which was commited
in 3858036a4e.
Changes:
* Enrich course teams_configuration from a plain Dict
to a custom XBlock field that uses the new TeamsConfig
wrapper class.
* Remove teams_conf property from course, as the previous
change made it redundant.
* Update teams_enabled implementation.
* Remove teams_max_size field from course, which is
no longer semantically correct, as max team size
is now defined on a teamset level.
* Remove teams_topics in order to discourage use of raw
teams config dict.
* Add convenience properties teamsets and teamsets_by_id
to course.
* Allow periods and spaces in teamset IDs to avoid breaking
existing course teams.
Some parts of the code still use the old raw config data
(identifiable by searching "cleaned_data_old_format"),
which we expect to be slowly factored away as we build
new teams features. MST-40 has been created to remove any
remaining references if necessary.
MST-18
* fix: bokchoy test
* fix: remove pdb break
This PR introduces some backend python + REST APIs for storing static
asset files along with an XBlock in a content library. It also updates
the new runtime to be able to load such static asset files.
Example use cases:
* Store an image file with an HTML block and then use the image inline
in the HTML block.
* Store a PDF file with an HTML block and provide a link in the HTML for
the learner to download the PDF.
* Store .srt files or even video .mp4 files that belong to a video
XBlock.
Within the bundle, these static asset files are stored in a "static/"
subfolder of the folder that contains the OLX file. Extending an
existing LMS/Studio convention, a static asset file such as "image.png"
is referenced within the OLX as "/static/image.png" and the URL will be
rewritten by the runtime.
Python 3 has no way to access this implementation of rounding in the
standard library. We implement it here so that we can continue to use
it for grades calculation to keep regrading consistent.
Currently we can't be confident that if we change the rounding behaviour
we won't impact students. We can't be sure that students that were
previously passing wouldn't suddenly no longer be passing. Given this,
it's lower risk to just implement the old rounding strategy here and use
it when we are rounding to calculate grades.
