* feat: removing visible_date-to-creds updates per-cert
The credentials IDA now relies on the course certificate configuration
and (if present) `certificate_available_date` for displayability. We no
longer need to send `visible_date` updates for every awarded certificate
when a course overview changes.
* feat: Upgrade Python dependency edx-enterprise
Commit generated by workflow `openedx/edx-platform/.github/workflows/upgrade-one-python-dependency.yml@refs/heads/master`
* fix: one space to force push
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Co-authored-by: kiram15 <31229189+kiram15@users.noreply.github.com>
Co-authored-by: Kira Miller <kira.miller15@yahoo.com>
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
This is an attempt to fix a performance problem on the libraries home page. When you go to studio home and click on the libraries tab, on prod it will be quick for admins but extremely slow for course instructors (> 12 seconds) and leads to timeouts. It grows with the number of libraries that are assigned to the instructor.
The Python code for the request to load libraries for a particular user goes through all existing libraries and then checks all of the user's roles for each library, which results in a complexity of O(l*r), l=libraries, r=roles. This PR improves the complexity to O(l).
The BulkRoleCache and RoleCache classes were using a python set to store all roles for a particular user. A user can have a large number of roles, and lookup speed of iterating through a set is slow (O(n)). Most roles don't have the same course id, however. So if you have the course id of the role you're looking for, we can use a dict of course ids that contain related roles. The number of roles per course id is negligible, so we arrive at a lookup speed of O(1) when looking up a user's roles that belong to a specific course id.
The BulkRoleCache now caches and stores user roles in a data structure like this:
{
user_id_1: {
course_id_1: {role1, role2, role3}, # Set of roles associated with course_id_1
course_id_2: {role4, role5, role6}, # Set of roles associated with course_id_2
[ROLE_CACHE_UNGROUPED_ROLES_KEY]: {role7, role8} # Set of roles not tied to any specific course or library. For example, Global Staff roles.
},
user_id_2: { ... } # Similar structure for another user
}
While this changes the data structure used to store roles under the hood and adds the new property `roles_by_course_id` to the RoleCache,
when initializing the RoleCache will store roles additionally in the previous data structure - as a flat set - in the `_roles` property accessible via `all_roles_set`. This establishes
backwards compatibility.
We are now storing roles twice in the RoleCache (in each of the two data structures), which means this takes twice as much memory, but only in the scope of a request.
Blockstore and all of its (experimental) functionality has been replaced with
openedx-learning, aka "Learning Core". This commit uninstalls the now-unused
openedx-blockstore package and removes all dangling references to it.
Note: This also removes the `copy_library_from_v1_to_v2` management command,
which has been broken ever since we switched from Blockstore to Learning Core.
Part of this DEPR: https://github.com/openedx/public-engineering/issues/238
* feat: make tagging feature enabled by default
* fix: use the correct flag for tagging enabled
* fix: make compatible with other changes from master
* fix: more compatibility fixes
* fix: show tag counts at all levels of the outline, not just units
* chore: typo
* test: fix counts in test suite now that tagging is on by default
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Co-authored-by: Braden MacDonald <braden@opencraft.com>
Co-authored-by: Yusuf Musleh <yusuf@opencraft.com>
Implements the connection from the teams feature to the content groups feature. This implementation uses the dynamic partition generator extension point to associate content groups with the users that belong to a Team.
This implementation was heavily inspired by the enrollment tracks dynamic partitions.
