* Use full LMS imports paths in LMS settings and urls modules
* Use full LMS import paths in Studio settings and urls modules
* Import from lms.djangoapps.badges instead of badges
* Import from lms.djangoapps.branding instead of branding
* Import from lms.djangoapps.bulk_email instead of bulk_email
* Import from lms.djangoapps.bulk_enroll instead of bulk_enroll
* Import from lms.djangoapps.ccx instead of ccx
* Import from lms.djangoapps.course_api instead of course_api
* Import from lms.djangoapps.course_blocks instead of course_blocks
* Import from lms.djangoapps.course_wiki instead of course_wiki
* Import from lms.djangoapps.courseware instead of courseware
* Import from lms.djangoapps.dashboard instead of dashboard
* Import from lms.djangoapps.discussion import discussion
* Import from lms.djangoapps.email_marketing instead of email_marketing
* Import from lms.djangoapps.experiments instead of experiments
* Import from lms.djangoapps.gating instead of gating
* Import from lms.djangoapps.grades instead of grades
* Import from lms.djangoapps.instructor_analytics instead of instructor_analytics
* Import form lms.djangoapps.lms_xblock instead of lms_xblock
* Import from lms.djangoapps.lti_provider instead of lti_provider
* Import from lms.djangoapps.mobile_api instead of mobile_api
* Import from lms.djangoapps.rss_proxy instead of rss_proxy
* Import from lms.djangoapps.static_template_view instead of static_template_view
* Import from lms.djangoapps.survey instead of survey
* Import from lms.djangoapps.verify_student instead of verify_student
* Stop suppressing EdxPlatformDeprecatedImportWarnings
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
For better user-facing performance, the SCORE_CHANGED signal is now handled by
enqueueing an async task to update the relevant stored grade, rather than
making the request wait until that operation finishes.
TNL-5738
* First take at forcing a subsection's grade to update when a signal is
sent that a problem's score has changed
* Refactor signal handler connection.
* Expand bokchoy tests to cover progress page
* Add some grading unit tests
TNL-5394
TNL-5364
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.
This change allows the LTI provider to pass grades back to the campus LMS platform using the
LTI outcome service. For full details of the outcome service, see:
http://www.imsglobal.org/LTI/v1p1/ltiIMGv1p1.html
In brief, the LTI 1.1 spec defines an outcome service that can be offered by an LTI consumer.
The consumer determines whether a score should be returned (in Canvas, this means that the LTI
tool is used in an assignment, and the launch was performed by a student). If so, it sends
two additional parameters along with the LTI launch:
lis_outcome_service_url: the endpoint for the outcome service on the consumer;
lis_result_sourcedid: a unique identifier for the row in the gradebook (i.e. the tool/student/assignment combination).
The LTI Provider launch view detects the presence of these optional fields, and creates database
records for the specific Outcome Service and for the graded LTI launch. Later, when a score on
edX changes (identified using the signal mechanism from previous LTI Provider pull requests),
a Celery task is launched to pass the score back to the LTI consumer.
