def test_successful_result_too_long(self):
# while we don't expect the existing tasks to generate output that is too
# long, we can test the framework will handle such an occurrence.
task_entry = self._create_input_entry()
self.define_option_problem(PROBLEM_URL_NAME)
action_name = 'x' * 1000
update_fcn = lambda (_module_descriptor, _student_module,
_xmodule_instance_args): True
task_function = (
lambda entry_id, xmodule_instance_args:
update_problem_module_state(entry_id,
update_fcn,
action_name,
filter_fcn=None,
xmodule_instance_args=None))
with self.assertRaises(ValueError):
self._run_task_with_mock_celery(task_function, task_entry.id,
task_entry.task_id)
# compare with entry in table:
entry = InstructorTask.objects.get(id=task_entry.id)
self.assertEquals(entry.task_state, FAILURE)
self.assertGreater(1023, len(entry.task_output))
output = json.loads(entry.task_output)
self.assertEquals(output['exception'], 'ValueError')
self.assertTrue(
"Length of task output is too long" in output['message'])
self.assertTrue('traceback' not in output)
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)
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)
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)
def test_successful_result_too_long(self):
# while we don't expect the existing tasks to generate output that is too
# long, we can test the framework will handle such an occurrence.
task_entry = self._create_input_entry()
self.define_option_problem(PROBLEM_URL_NAME)
action_name = 'x' * 1000
update_fcn = lambda(_module_descriptor, _student_module, _xmodule_instance_args): True
task_function = (lambda entry_id, xmodule_instance_args:
update_problem_module_state(entry_id,
update_fcn, action_name, filter_fcn=None,
xmodule_instance_args=None))
with self.assertRaises(ValueError):
self._run_task_with_mock_celery(task_function, task_entry.id, task_entry.task_id)
# compare with entry in table:
entry = InstructorTask.objects.get(id=task_entry.id)
self.assertEquals(entry.task_state, FAILURE)
self.assertGreater(1023, len(entry.task_output))
output = json.loads(entry.task_output)
self.assertEquals(output['exception'], 'ValueError')
self.assertTrue("Length of task output is too long" in output['message'])
self.assertTrue('traceback' not in output)
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)
