Initial refactoring for bulk_email monitoring.
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@@ -58,13 +58,14 @@ def _reserve_task(course_id, task_type, task_key, task_input, requester):
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return InstructorTask.create(course_id, task_type, task_key, task_input, requester)
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def _get_xmodule_instance_args(request):
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def _get_xmodule_instance_args(request, task_id):
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"""
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Calculate parameters needed for instantiating xmodule instances.
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The `request_info` will be passed to a tracking log function, to provide information
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about the source of the task request. The `xqueue_callback_url_prefix` is used to
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permit old-style xqueue callbacks directly to the appropriate module in the LMS.
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The `task_id` is also passed to the tracking log function.
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"""
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request_info = {'username': request.user.username,
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'ip': request.META['REMOTE_ADDR'],
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@@ -74,6 +75,7 @@ def _get_xmodule_instance_args(request):
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xmodule_instance_args = {'xqueue_callback_url_prefix': get_xqueue_callback_url_prefix(request),
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'request_info': request_info,
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'task_id': task_id,
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}
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return xmodule_instance_args
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@@ -214,7 +216,7 @@ def check_arguments_for_rescoring(course_id, problem_url):
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def encode_problem_and_student_input(problem_url, student=None):
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"""
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Encode problem_url and optional student into task_key and task_input values.
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Encode optional problem_url and optional student into task_key and task_input values.
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`problem_url` is full URL of the problem.
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`student` is the user object of the student
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@@ -257,7 +259,7 @@ def submit_task(request, task_type, task_class, course_id, task_input, task_key)
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# submit task:
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task_id = instructor_task.task_id
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task_args = [instructor_task.id, _get_xmodule_instance_args(request)]
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task_args = [instructor_task.id, _get_xmodule_instance_args(request, task_id)]
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task_class.apply_async(task_args, task_id=task_id)
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return instructor_task
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return instructor_task
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