This djangoapp was designed for talking to sailthru, in a fairly
edx.org-specific way. Nowadays, edx.org doesn't need this code and
if other installations do, it's better off as a more distinct
plugin anyway, rather than direct support in the platform.
I've moved the one signal that was still useful (calling
segment.identify() whenever user fields change) into user_authn.
And I've left the EmailMarketingConfiguration model alone for now,
but will remove that shortly. Nothing uses it as of this commit.
AA-607
DEPR-139
The course name can contain apostrophes and other special characters. The email template right now escapes every words. This is not desired because it can render apostrophes like #39;. Update the email templates so only second half of the email template is escaped
NOTE: This will require a forced backfill of course outlines to update
the course content data in learning_sequences:
python manage.py cms backfill_course_outlines --force
Without this backfill, the learning_sequences API will continue to serve
stale content data that has no user partition group data. It won't cause
errors, but it won't do the exclusions properly.
Commit summary:
* Created EnrollmentTrackPartitionGroupsOutlineProcessor to process the
enrollment_track User Partition Group, allowing Sequences and Sections
to be removed based on their group_access settings.
* Added user_partition_groups attribute to CourseLearningSequenceData
and CourseSectionData in learning_sequences/data.py, along with
backing model data.
* get_outline_from_modulestore now extracts group_access settings from
Sections and Sequences. It also bubbles up group_access settings from
Units, meaning that if a Sequence with no group_access setting has
Units that are all set to show only to the Verified enrollment track,
then the Sequence will only show to the Verified enrollment track.
This commit adds model-level support for all user partition groups by
capturing all the content group associations (group_access), but it only
implements the code checks for the enrollment track partition. It's not
clear that we want to generalize, since there's only one other partition
type (A/B testing) that is applicable at the outline level.
It's important to note that there is no way to set the group_access for
a Section or Sequence in Studio today. It's only possible by direct
editing of the OLX for import. That being said, the block structures
framework supports applying course groups at this level, and this commit
moves learning_sequences closer to feature parity.
The bubbling up from Units to the parent Sequence was done to mitigate
confusion when a Sequence is entirely composed of Units that are not
visible to the user because of content group restrictions. It's not
clear whether this is something we want to do in the long term, since it
would simplify the code to always specify group_access at the Sequence
level. This first pass is done partially to collect better data about
places in our courses where this kind of usage is already happening.
Most of the EnrollmentTrackPartitionGroupsOutlineProcessor code and its
tests were written by @schenedx.
Modify the existing login api in a way that
it will allow the user to login via username as well.
currently it is only allowing email to log the user in.
VAN-445
Previously, ProblemBlock's implementation was split between
CapaMixin/CapaFields (in capa_base.py) and ProblemBlock
(in capa_module.py), the former being the base classes of the
latter. The split existed for a historical reason:
as a former XModule, ProblemBlock was once split
between CapaDescriptor (author-facing) and CapaModule
(learner-facing). Since ProblemBlock has been converted
to being a pure XBlock, the division between the base
classes and the block class are no longer necessary
nor semantically helpful.
docs: Flesh out ProblemBlock's docstring a bit.
We don't need to execute instuctor code for the problem response
report because we're grabbing existing student state and scores.
Running codejail is expensive, slow, and risks report failures if
there is CPU intensive instructor code that is run at times when
the servers are already heavily loaded (and things start timing
out). This came up in TNL-8183 (and many others).
