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Add changelog entry.

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Brian Wilson
2013-06-18 14:28:00 -04:00
parent 2d1ebb7329
commit 5389bba490
3 changed files with 26 additions and 1 deletions
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7
CHANGELOG.rst
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@@ -5,6 +5,13 @@ These are notable changes in edx-platform. This is a rolling list of changes,
in roughly chronological order, most recent first. Add your entries at or near
the top. Include a label indicating the component affected.
LMS: Problem rescoring. Added options on the Grades tab of the
Instructor Dashboard to allow all students' submissions for a
particular problem to be rescored. Also supports resetting all
students' number of attempts to zero. Provides a list of background
tasks that are currently running for the course, and an option to
see a history of background tasks for a given problem.
LMS: Forums. Added handling for case where discussion module can get `None` as
value of lms.start in `lms/djangoapps/django_comment_client/utils.py`

4
lms/djangoapps/instructor_task/api.py
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@@ -1,7 +1,9 @@
"""
API for submitting background tasks by an instructor for a course.
TODO:
Also includes methods for getting information about tasks that have
already been submitted, filtered either by running state or input
arguments.
"""

16
lms/djangoapps/instructor_task/tasks.py
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@@ -2,6 +2,22 @@
This file contains tasks that are designed to perform background operations on the
running state of a course.
At present, these tasks all operate on StudentModule objects in one way or another,
so they share a visitor architecture. Each task defines an "update function" that
takes a module_descriptor, a particular StudentModule object, and xmodule_instance_args.
A task may optionally specify a "filter function" that takes a query for StudentModule
objects, and adds additional filter clauses.
A task also passes through "xmodule_instance_args", that are used to provide
information to our code that instantiates xmodule instances.
The task definition then calls the traversal function, passing in the three arguments
above, along with the id value for an InstructorTask object. The InstructorTask
object contains a 'task_input' row which is a JSON-encoded dict containing
a problem URL and optionally a student. These are used to set up the initial value
of the query for traversing StudentModule objects.
"""
from celery import task
from instructor_task.tasks_helper import (update_problem_module_state,