Files
edx-platform/lms/djangoapps/instructor_task/tasks.py
2013-06-18 14:28:00 -04:00

98 lines
4.4 KiB
Python

"""
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,
rescore_problem_module_state,
reset_attempts_module_state,
delete_problem_module_state)
@task
def rescore_problem(entry_id, xmodule_instance_args):
"""Rescores a problem in a course, for all students or one specific student.
`entry_id` is the id value of the InstructorTask entry that corresponds to this task.
The entry contains the `course_id` that identifies the course, as well as the
`task_input`, which contains task-specific input.
The task_input should be a dict with the following entries:
'problem_url': the full URL to the problem to be rescored. (required)
'student': the identifier (username or email) of a particular user whose
problem submission should be rescored. If not specified, all problem
submissions for the problem will be rescored.
`xmodule_instance_args` provides information needed by _get_module_instance_for_task()
to instantiate an xmodule instance.
"""
action_name = 'rescored'
update_fcn = rescore_problem_module_state
filter_fcn = lambda(modules_to_update): modules_to_update.filter(state__contains='"done": true')
return update_problem_module_state(entry_id,
update_fcn, action_name, filter_fcn=filter_fcn,
xmodule_instance_args=xmodule_instance_args)
@task
def reset_problem_attempts(entry_id, xmodule_instance_args):
"""Resets problem attempts to zero for a particular problem for all students in a course.
`entry_id` is the id value of the InstructorTask entry that corresponds to this task.
The entry contains the `course_id` that identifies the course, as well as the
`task_input`, which contains task-specific input.
The task_input should be a dict with the following entries:
'problem_url': the full URL to the problem to be rescored. (required)
`xmodule_instance_args` provides information needed by _get_module_instance_for_task()
to instantiate an xmodule instance.
"""
action_name = 'reset'
update_fcn = reset_attempts_module_state
return update_problem_module_state(entry_id,
update_fcn, action_name, filter_fcn=None,
xmodule_instance_args=xmodule_instance_args)
@task
def delete_problem_state(entry_id, xmodule_instance_args):
"""Deletes problem state entirely for all students on a particular problem in a course.
`entry_id` is the id value of the InstructorTask entry that corresponds to this task.
The entry contains the `course_id` that identifies the course, as well as the
`task_input`, which contains task-specific input.
The task_input should be a dict with the following entries:
'problem_url': the full URL to the problem to be rescored. (required)
`xmodule_instance_args` provides information needed by _get_module_instance_for_task()
to instantiate an xmodule instance.
"""
action_name = 'deleted'
update_fcn = delete_problem_module_state
return update_problem_module_state(entry_id,
update_fcn, action_name, filter_fcn=None,
xmodule_instance_args=xmodule_instance_args)