As of Python 3.3, the 3rd-party `mock` package has been subsumed into the
standard `unittest.mock` package. Refactoring tests to use the latter will
allow us to drop `mock` as a dependency, which is currently coming in
transitively through requirements/edx/paver.in.
We don't actually drop the `mock` dependency in this PR. That will happen
naturally in:
* https://github.com/openedx/edx-platform/pull/34830
It's long past time that the default test modulestore was Split,
instead of Old Mongo. This commit switches the default store and
fixes some tests that now fail:
- Tests that didn't expect MFE to be enabled (because we don't
enable MFE for Old Mongo) - opt out of MFE for those
- Tests that hardcoded old key string formats
- Lots of other random little differences
In many places, I didn't spend much time trying to figure out how to
properly fix the test, and instead just set the modulestore to Old
Mongo.
For those tests that I didn't spend time investigating, I've set
the modulestore to TEST_DATA_MONGO_AMNESTY_MODULESTORE - search for
that string to find further work.
* feat: [AA-922] remove deprecated Goals backend
While the new Weekly Learning Goals were being rolled out, the previous goal setting feature still existed behind a waffle flag.
The Weekly Learning Goals now become the one and only learning goal feature.
This change does not remove the old goals feature from the legacy backend, and therefore it does not remove any of the data that was used by the old goals feature.
The goals are now driven by the single pre-existing Waffle flag ENABLE_COURSE_GOALS
- Removed COURSE_GOALS_NUMBER_OF_DAYS_GOALS waffle flag, replacing it where needed with the existing ENABLE_COURSE_GOALS
- modified the API to remove the old goal_options, keeping the redundant weekly_learning_goal_enabled flag
- updated tests
- refactor tests to fit 50 line limit in lint
* feat: Add support for returning thread counts for all topics in a course
In the new discussions experience the thread counts for questions and discussions are displayed in the UI.
This uses a new cs_comments_service API to fetch that data and embed it in the topic listing.
* fix: apply review feedback fixes