* updated files according to INCR-265
* fixed docstring and line-length problems from quality test
* Revert "fixed docstring and line-length problems from quality test"
This reverts commit d050f55a4ecfaa38f46b80ec4bb85ff399a79a8c.
* fixed errors reported in quality report
* had error, fixed it
* reversed change
* fixed over/under indentation, and added line to import.py that Ned had suggested
* tried disabling pylint for this line
* testing new email
* testing email in different window
* re-added symlink and docstring
* Minimum possible changes were made to merge CapaModule & CapaDescriptor into
one ProblemBlock class.
* There are no known changes in behavior.
* CapaModule and CapaDescriptor inherited from a number of classes which inherit
from XModule or XModuleDescriptor but did not depend on them. For all these
classes the methods were moved to mixins which did not inherit from either and
then these mixins were added to ProblemBlock in the order which maintains MRO.
Add a new waffle switch that allows us to assume zero grades for
learners who have no entry previously recorded, and another to
disable persisting grades for unengaged learners.
TNL-6691
Remove deprecated SingleSectionGrader. TNL-5987
Remove display_name and module_id from Scores objects
Update CourseGradeFactory.__init__ to not be user-specific
Update some callers to use CourseGrade class instead of "summary" dict
Remove no longer needed course_grades.py module.
Renamed django signal from GRADES_UPDATED to COURSE_GRADE_CHANGED
Makes use of the new SUBSECTION_SCORE_CHANGED signal to trigger a task that
updates persisted course grade values. We've also renamed SCORE_CHANGED to
PROBLEM_SCORE_CHANGED to head off any issues with unclear signal names.
TNL-5740
Adds ENABLE_SUBSECTION_GRADES_SAVED feature flag to both lms and cms. Also
installs the wiring that will allow robust grades to be used for courses
that enable it. This functionality is still gated by the feature flag
and should not be used until the remaining robust grades work is finished.
By default, disable all caching in tests, to preserve test independence.
In order to enable caching, inherit from CacheSetupMixin, and specify
which cache configuration is needed.
[EV-32]
This abstract class contains most of the fields (aside from the id and
foreign key to StudentModule that the subclasses need to manage). It
also provides a get_history method that abstracts searching across
multiple backends.
Move router code to openedx/core
We need to use it from cms and lms.
Ensure aws_migrate can be used for migrating both the lms and cms.
Handle queries directed to student_module_history vs default and the
extra queries generated by Django 1.8 (SAVEPOINTS, etc).
Additionally, flag testing classes as multi_db so that Django will
flush the non-default database between unit tests.
Further decouple the foreignkey relation between csm and csmhe
When calling StudentModule().delete() Django will try to delete CSMHE
objects, but naively does so in the database, not by consulting the
database router.
Instead, we disable django cascading deletes and listen for post_delete
signals and clean up CSMHE by hand.
Add feature flags for CSMHE
One to turn it on/off so we can control the deploy.
The other will control whether or not we read from two database tables
or one when searching.
Update tests to explicitly use this get_history method rather than
looking directly into StudentModuleHistory or
StudentModuleHistoryExtended.
Inform lettuce to avoid the coursewarehistoryextended app
Otherwise it fails when it can't find features/ in that app.
Add Pg support, this is not tested automatically.
This change allows graded assignments to be added to a campus LMS
regardless of the granularity at which the problem sits. Previously
a grade could only be returned if the usage ID for the problem itself
was specified in the LTI launch.
The code assumes that courses taking advantage of this functionality
are arranged in a hiearchy (with sections being parents to verticals,
and verticals being parents to problems). When a grading event occurs
it traverses the parent hiearchy to identify any previous graded LTI
launches for which the new scoring event should generate a grade
update. It then calculates and sends scores to each of those outcome
services.
Since grade calculation is an expensive operation, the code optimizes
the case where a problem has been added only once as a leaf unit. In
that case it is able to behave as before, just taking the grade from
the signal without having to calculate grades for the whole course.
