def get_grading_status_list(request):
"""
Get a list of locations where student has submitted open ended questions and the status of each.
Input:
Course id, student id
Output:
Dictionary containing success, and a list of problems in the course with student submission status.
See grader_util for format details.
"""
if request.method != 'GET':
return util._error_response("Request type must be GET", _INTERFACE_VERSION)
for tag in ['course_id', 'student_id']:
if tag not in request.GET:
return util._error_response("Missing required key {0}".format(tag), _INTERFACE_VERSION)
course_id = request.GET.get('course_id')
student_id = request.GET.get('student_id')
success, sub_list = grader_util.get_problems_student_has_tried(student_id, course_id)
if not success:
return util._error_response("Could not generate a submission list. {0}".format(sub_list),_INTERFACE_VERSION)
problem_list_dict={
'success' : success,
'problem_list' : sub_list,
}
util.log_connection_data()
return util._success_response(problem_list_dict, _INTERFACE_VERSION)
def get_pending_count(request):
"""
Returns the number of submissions pending grading
"""
if cache.get(NOTHING_TO_ML_GRADE_CACHE_KEY):
# If get_submission_ml resulted in no ml grading being found, then return pending count as 0.
# When cache timeout expires, it will check again. This saves us from excessive calls to
# get_submission_ml.
to_be_graded_count = 0
else:
if request.method != 'GET':
return util._error_response("'get_pending_count' must use HTTP GET", _INTERFACE_VERSION)
grader_type = request.GET.get("grader_type")
if not grader_type:
return util._error_response("grader type is a needed key", _INTERFACE_VERSION)
if grader_type not in [i[0] for i in GRADER_TYPE]:
return util._error_response("invalid grader type", _INTERFACE_VERSION)
to_be_graded_count = Submission.objects.filter(
state=SubmissionState.waiting_to_be_graded,
next_grader_type=grader_type,
).count()
util.log_connection_data()
return util._success_response({'to_be_graded_count' : to_be_graded_count}, _INTERFACE_VERSION)
def get_submission_ml(request):
"""
Gets a submission for the ML grader
Input:
Get request with no parameters
"""
unique_locations = [
x['location']
for x in list(Submission.objects.values('location').distinct())
]
for location in unique_locations:
sl = staff_grading_util.StaffLocation(location)
subs_graded_by_instructor = sl.graded_count()
success = ml_grading_util.check_for_all_model_and_rubric_success(
location)
if subs_graded_by_instructor >= settings.MIN_TO_USE_ML and success:
to_be_graded = Submission.objects.filter(
location=location,
state=SubmissionState.waiting_to_be_graded,
next_grader_type="ML",
)
if (to_be_graded.count() > 0):
to_be_graded = to_be_graded[0]
if to_be_graded is not None:
to_be_graded.state = SubmissionState.being_graded
to_be_graded.save()
return util._success_response(
{'submission_id': to_be_graded.id}, _INTERFACE_VERSION)
util.log_connection_data()
return util._error_response("Nothing to grade.", _INTERFACE_VERSION)
def take_action_on_flags(request):
if request.method != 'POST':
return util._error_response("Request type must be POST", _INTERFACE_VERSION)
for tag in ['course_id', 'student_id', 'submission_id', 'action_type']:
if tag not in request.POST:
return util._error_response("Missing required key {0}".format(tag), _INTERFACE_VERSION)
course_id = request.POST.get('course_id')
student_id = request.POST.get('student_id')
submission_id = request.POST.get('submission_id')
action_type = request.POST.get('action_type')
success, data = peer_grading_util.take_action_on_flags(course_id, student_id, submission_id, action_type)
log.debug(data)
if not success:
return util._error_response(data,_INTERFACE_VERSION)
submission_dict={
'success' : success,
'data' : data,
}
util.log_connection_data()
return util._success_response(submission_dict, _INTERFACE_VERSION)
def check_for_notifications(request):
"""
Check if a given problem name, location tuple is unique
Input:
A problem location and the problem name
Output:
Dictionary containing success, and and indicator of whether or not the name is unique
"""
if request.method != 'GET':
return util._error_response("Request type must be GET",
_INTERFACE_VERSION)
for tag in [
'course_id', 'user_is_staff', 'last_time_viewed', 'student_id'
]:
if tag not in request.GET:
return util._error_response("Missing required key {0}".format(tag),
_INTERFACE_VERSION)
request_dict = request.GET.copy()
success, combined_notifications = grader_util.check_for_combined_notifications(
request_dict)
if not success:
return util._error_response(combined_notifications, _INTERFACE_VERSION)
util.log_connection_data()
return util._success_response(combined_notifications, _INTERFACE_VERSION)
def get_grading_status_list(request):
"""
Get a list of locations where student has submitted open ended questions and the status of each.
Input:
Course id, student id
Output:
Dictionary containing success, and a list of problems in the course with student submission status.
See grader_util for format details.
"""
if request.method != 'GET':
return util._error_response("Request type must be GET", _INTERFACE_VERSION)
for tag in ['course_id', 'student_id']:
if tag not in request.GET:
return util._error_response("Missing required key {0}".format(tag), _INTERFACE_VERSION)
course_id = request.GET.get('course_id')
student_id = request.GET.get('student_id')
success, sub_list = grader_util.get_problems_student_has_tried(student_id, course_id)
if not success:
return util._error_response("Could not generate a submission list. {0}".format(sub_list),_INTERFACE_VERSION)
problem_list_dict={
'success' : success,
'problem_list' : sub_list,
}
util.log_connection_data()
return util._success_response(problem_list_dict, _INTERFACE_VERSION)
def get_pending_count(request):
"""
Returns the number of submissions pending grading
"""
if cache.get(NOTHING_TO_ML_GRADE_CACHE_KEY):
# If get_submission_ml resulted in no ml grading being found, then return pending count as 0.
# When cache timeout expires, it will check again. This saves us from excessive calls to
# get_submission_ml.
to_be_graded_count = 0
else:
if request.method != 'GET':
return util._error_response(
"'get_pending_count' must use HTTP GET", _INTERFACE_VERSION)
grader_type = request.GET.get("grader_type")
if not grader_type:
return util._error_response("grader type is a needed key",
_INTERFACE_VERSION)
if grader_type not in [i[0] for i in GRADER_TYPE]:
return util._error_response("invalid grader type",
_INTERFACE_VERSION)
to_be_graded_count = Submission.objects.filter(
state=SubmissionState.waiting_to_be_graded,
next_grader_type=grader_type,
).count()
util.log_connection_data()
return util._success_response({'to_be_graded_count': to_be_graded_count},
_INTERFACE_VERSION)
def get_submission_ml(request):
"""
Gets a submission for the ML grader
Input:
Get request with no parameters
"""
unique_locations = [x["location"] for x in list(Submission.objects.values("location").distinct())]
for location in unique_locations:
subs_graded_by_instructor = staff_grading_util.finished_submissions_graded_by_instructor(location).count()
success = ml_grading_util.check_for_all_model_and_rubric_success(location)
if subs_graded_by_instructor >= settings.MIN_TO_USE_ML and success:
to_be_graded = Submission.objects.filter(
location=location, state=SubmissionState.waiting_to_be_graded, next_grader_type="ML"
)
if to_be_graded.count() > 0:
to_be_graded = to_be_graded[0]
if to_be_graded is not None:
to_be_graded.state = SubmissionState.being_graded
to_be_graded.save()
# Insert timing initialization code
initialize_timing(to_be_graded)
return util._success_response({"submission_id": to_be_graded.id}, _INTERFACE_VERSION)
util.log_connection_data()
return util._error_response("Nothing to grade.", _INTERFACE_VERSION)
def get_pending_count(request):
"""
Returns the number of submissions pending grading
"""
if request.method != 'GET':
return util._error_response("'get_pending_count' must use HTTP GET",
_INTERFACE_VERSION)
grader_type = request.GET.get("grader_type")
if not grader_type:
return util._error_response("grader type is a needed key",
_INTERFACE_VERSION)
if grader_type not in [i[0] for i in GRADER_TYPE]:
return util._error_response("invalid grader type", _INTERFACE_VERSION)
to_be_graded_count = Submission.objects.filter(
state=SubmissionState.waiting_to_be_graded,
next_grader_type=grader_type,
).count()
util.log_connection_data()
return util._success_response({'to_be_graded_count': to_be_graded_count},
_INTERFACE_VERSION)
def take_action_on_flags(request):
if request.method != 'POST':
return util._error_response("Request type must be POST", _INTERFACE_VERSION)
for tag in ['course_id', 'student_id', 'submission_id', 'action_type']:
if tag not in request.POST:
return util._error_response("Missing required key {0}".format(tag), _INTERFACE_VERSION)
course_id = request.POST.get('course_id')
student_id = request.POST.get('student_id')
submission_id = request.POST.get('submission_id')
action_type = request.POST.get('action_type')
success, data = peer_grading_util.take_action_on_flags(course_id, student_id, submission_id, action_type)
if not success:
return util._error_response(data,_INTERFACE_VERSION)
submission_dict={
'success' : success,
'data' : data,
}
util.log_connection_data()
return util._success_response(submission_dict, _INTERFACE_VERSION)
def put_result(request):
"""
Used by external interfaces to post results back to controller
"""
if request.method != 'POST':
return util._error_response("'put_result' must use HTTP POST", _INTERFACE_VERSION)
else:
post_data = request.POST.dict().copy()
for tag in ['feedback', 'submission_id', 'grader_type', 'status', 'confidence', 'grader_id', 'score', 'errors', 'rubric_scores_complete', 'rubric_scores']:
if not post_data.has_key(tag):
return util._error_response("Failed to find needed key {0}.".format(tag), _INTERFACE_VERSION)
#list comprehension below just gets all available grader types ['ML','IN', etc
if post_data['grader_type'] not in [i[0] for i in GRADER_TYPE]:
return util._error_response("Invalid grader type {0}.".format(post_data['grader_type']),_INTERFACE_VERSION)
#list comprehension below gets all available status codes ['F',"S']
if post_data['status'] not in [i[0] for i in STATUS_CODES]:
return util._error_response("Invalid grader status.".format(post_data['status']), _INTERFACE_VERSION)
try:
post_data['score'] = int(post_data['score'])
except Exception:
return util._error_response("Can't parse score {0} into an int.".format(post_data['score']), _INTERFACE_VERSION)
try:
sub=Submission.objects.get(id=int(post_data['submission_id']))
except Exception:
return util._error_response(
"Submission id {0} is not valid.".format(post_data.get('submission_id', "NA")),
_INTERFACE_VERSION,
)
rubric_scores_complete = request.POST.get('rubric_scores_complete', False)
rubric_scores = request.POST.get('rubric_scores', [])
try:
rubric_scores=json.loads(rubric_scores)
except Exception:
pass
success, error_message = grader_util.validate_rubric_scores(rubric_scores, rubric_scores_complete, sub)
if not success:
return util._error_response(
error_message,
_INTERFACE_VERSION,
)
post_data['rubric_scores']=rubric_scores
post_data['rubric_scores_complete'] = rubric_scores_complete
success, header = grader_util.create_and_handle_grader_object(post_data)
if not success:
return util._error_response("Could not save grader.", _INTERFACE_VERSION)
util.log_connection_data()
return util._success_response({'message' : "Saved successfully."}, _INTERFACE_VERSION)
def put_result(request):
"""
Used by external interfaces to post results back to controller
"""
if request.method != 'POST':
return util._error_response("'put_result' must use HTTP POST", _INTERFACE_VERSION)
else:
post_data = request.POST.dict().copy()
for tag in ['feedback', 'submission_id', 'grader_type', 'status', 'confidence', 'grader_id', 'score', 'errors', 'rubric_scores_complete', 'rubric_scores']:
if not post_data.has_key(tag):
return util._error_response("Failed to find needed key {0}.".format(tag), _INTERFACE_VERSION)
#list comprehension below just gets all available grader types ['ML','IN', etc
if post_data['grader_type'] not in [i[0] for i in GRADER_TYPE]:
return util._error_response("Invalid grader type {0}.".format(post_data['grader_type']),_INTERFACE_VERSION)
#list comprehension below gets all available status codes ['F',"S']
if post_data['status'] not in [i[0] for i in STATUS_CODES]:
return util._error_response("Invalid grader status.".format(post_data['status']), _INTERFACE_VERSION)
try:
post_data['score'] = int(post_data['score'])
except:
return util._error_response("Can't parse score {0} into an int.".format(post_data['score']), _INTERFACE_VERSION)
try:
sub=Submission.objects.get(id=int(post_data['submission_id']))
except:
return util._error_response(
"Submission id {0} is not valid.".format(post_data.get('submission_id', "NA")),
_INTERFACE_VERSION,
)
rubric_scores_complete = request.POST.get('rubric_scores_complete', False)
rubric_scores = request.POST.get('rubric_scores', [])
try:
rubric_scores=json.loads(rubric_scores)
except:
pass
success, error_message = grader_util.validate_rubric_scores(rubric_scores, rubric_scores_complete, sub)
if not success:
return util._error_response(
error_message,
_INTERFACE_VERSION,
)
post_data['rubric_scores']=rubric_scores
post_data['rubric_scores_complete'] = rubric_scores_complete
success, header = grader_util.create_and_handle_grader_object(post_data)
if not success:
return util._error_response("Could not save grader.", _INTERFACE_VERSION)
util.log_connection_data()
return util._success_response({'message' : "Saved successfully."}, _INTERFACE_VERSION)
def get_submission_ml(request):
"""
Gets a submission for the ML grader
Input:
Get request with no parameters
"""
unique_locations = [
x['location']
for x in list(Submission.objects.values('location').distinct())
]
for location in unique_locations:
nothing_to_ml_grade_for_location_key = NOTHING_TO_ML_GRADE_LOCATION_CACHE_KEY.format(
location=location)
# Go to the next location if we have recently determined that a location
# has no ML grading ready.
if cache.get(nothing_to_ml_grade_for_location_key):
continue
sl = staff_grading_util.StaffLocation(location)
control = SubmissionControl(sl.latest_submission())
subs_graded_by_instructor = sl.graded_count()
success = ml_grading_util.check_for_all_model_and_rubric_success(
location)
if subs_graded_by_instructor >= control.minimum_to_use_ai and success:
to_be_graded = Submission.objects.filter(
location=location,
state=SubmissionState.waiting_to_be_graded,
next_grader_type="ML",
)
if (to_be_graded.count() > 0):
to_be_graded = to_be_graded[0]
if to_be_graded is not None:
to_be_graded.state = SubmissionState.being_graded
to_be_graded.save()
return util._success_response(
{'submission_id': to_be_graded.id}, _INTERFACE_VERSION)
# If we don't get a submission to return, then there is no ML grading for this location.
# Cache this boolean to avoid an expensive loop iteration.
cache.set(nothing_to_ml_grade_for_location_key, True,
settings.RECHECK_EMPTY_ML_GRADE_QUEUE_DELAY)
util.log_connection_data()
# Set this cache key to ensure that this expensive function isn't repeatedly called when not needed.
cache.set(NOTHING_TO_ML_GRADE_CACHE_KEY, True,
settings.RECHECK_EMPTY_ML_GRADE_QUEUE_DELAY)
return util._error_response("Nothing to grade.", _INTERFACE_VERSION)
def get_submission_instructor(request):
"""
Gets a submission for the Instructor grading view
"""
try:
course_id = util._value_or_default(request.GET['course_id'], None)
except Exception:
return util._error_response("'get_submission' requires parameter 'course_id'", _INTERFACE_VERSION)
sc = staff_grading_util.StaffCourse(course_id)
found, sub_id = sc.next_item()
if not found:
return util._error_response("Nothing to grade.", _INTERFACE_VERSION)
util.log_connection_data()
return util._success_response({'submission_id' : sub_id}, _INTERFACE_VERSION)
def get_submission_peer(request):
"""
Gets a submission for the Peer grading view
"""
try:
location = util._value_or_default(request.GET['location'], None)
grader_id = util._value_or_default(request.GET['grader_id'], None)
except KeyError:
return util._error_response("'get_submission' requires parameters 'location', 'grader_id'", _INTERFACE_VERSION)
pl = peer_grading_util.PeerLocation(location, grader_id)
found, sub_id = pl.next_item()
if not found:
return util._error_response("Nothing to grade.", _INTERFACE_VERSION)
util.log_connection_data()
return util._success_response({'submission_id' : sub_id}, _INTERFACE_VERSION)
def get_submission_instructor(request):
"""
Gets a submission for the Instructor grading view
"""
try:
course_id = util._value_or_default(request.GET['course_id'], None)
except:
return util._error_response("'get_submission' requires parameter 'course_id'", _INTERFACE_VERSION)
found, sub_id = staff_grading_util.get_single_instructor_grading_item(course_id)
if not found:
return util._error_response("Nothing to grade.", _INTERFACE_VERSION)
#Insert timing initialization code
initialize_timing(sub_id)
util.log_connection_data()
return util._success_response({'submission_id' : sub_id}, _INTERFACE_VERSION)
def get_submission_instructor(request):
"""
Gets a submission for the Instructor grading view
"""
try:
course_id = util._value_or_default(request.GET["course_id"], None)
except:
return util._error_response("'get_submission' requires parameter 'course_id'", _INTERFACE_VERSION)
found, sub_id = staff_grading_util.get_single_instructor_grading_item(course_id)
if not found:
return util._error_response("Nothing to grade.", _INTERFACE_VERSION)
# Insert timing initialization code
initialize_timing(sub_id)
util.log_connection_data()
return util._success_response({"submission_id": sub_id}, _INTERFACE_VERSION)
def get_submission_instructor(request):
"""
Gets a submission for the Instructor grading view
"""
try:
course_id = util._value_or_default(request.GET['course_id'], None)
except Exception:
return util._error_response(
"'get_submission' requires parameter 'course_id'",
_INTERFACE_VERSION)
sc = staff_grading_util.StaffCourse(course_id)
found, sub_id = sc.next_item()
if not found:
return util._error_response("Nothing to grade.", _INTERFACE_VERSION)
util.log_connection_data()
return util._success_response({'submission_id': sub_id},
_INTERFACE_VERSION)
def get_submission_peer(request):
"""
Gets a submission for the Peer grading view
"""
try:
location = util._value_or_default(request.GET["location"], None)
grader_id = util._value_or_default(request.GET["grader_id"], None)
except KeyError:
return util._error_response("'get_submission' requires parameters 'location', 'grader_id'", _INTERFACE_VERSION)
found, sub_id = peer_grading_util.get_single_peer_grading_item(location, grader_id)
if not found:
return util._error_response("Nothing to grade.", _INTERFACE_VERSION)
# Insert timing initialization code
initialize_timing(sub_id)
util.log_connection_data()
return util._success_response({"submission_id": sub_id}, _INTERFACE_VERSION)
def get_flagged_problem_list(request):
if request.method != 'GET':
return util._error_response("Request type must be GET", _INTERFACE_VERSION)
for tag in ['course_id']:
if tag not in request.GET:
return util._error_response("Missing required key {0}".format(tag), _INTERFACE_VERSION)
success, flagged_submissions = peer_grading_util.get_flagged_submissions(request.GET.get('course_id'))
if not success:
return util._error_response(flagged_submissions,_INTERFACE_VERSION)
flagged_submission_dict={
'success' : success,
'flagged_submissions' : flagged_submissions,
}
util.log_connection_data()
return util._success_response(flagged_submission_dict, _INTERFACE_VERSION)
def get_flagged_problem_list(request):
if request.method != 'GET':
return util._error_response("Request type must be GET", _INTERFACE_VERSION)
for tag in ['course_id']:
if tag not in request.GET:
return util._error_response("Missing required key {0}".format(tag), _INTERFACE_VERSION)
success, flagged_submissions = peer_grading_util.get_flagged_submissions(request.GET.get('course_id'))
if not success:
return util._error_response(flagged_submissions,_INTERFACE_VERSION)
flagged_submission_dict={
'success' : success,
'flagged_submissions' : flagged_submissions,
}
util.log_connection_data()
return util._success_response(flagged_submission_dict, _INTERFACE_VERSION)
def get_submission_peer(request):
"""
Gets a submission for the Peer grading view
"""
try:
location = util._value_or_default(request.GET['location'], None)
grader_id = util._value_or_default(request.GET['grader_id'], None)
except KeyError:
return util._error_response("'get_submission' requires parameters 'location', 'grader_id'", _INTERFACE_VERSION)
found, sub_id = peer_grading_util.get_single_peer_grading_item(location, grader_id)
if not found:
return util._error_response("Nothing to grade.", _INTERFACE_VERSION)
#Insert timing initialization code
initialize_timing(sub_id)
util.log_connection_data()
return util._success_response({'submission_id' : sub_id}, _INTERFACE_VERSION)
def get_pending_count(request):
"""
Returns the number of submissions pending grading
"""
if request.method != "GET":
return util._error_response("'get_pending_count' must use HTTP GET", _INTERFACE_VERSION)
grader_type = request.GET.get("grader_type")
if not grader_type:
return util._error_response("grader type is a needed key", _INTERFACE_VERSION)
if grader_type not in [i[0] for i in GRADER_TYPE]:
return util._error_response("invalid grader type", _INTERFACE_VERSION)
to_be_graded_count = Submission.objects.filter(
state=SubmissionState.waiting_to_be_graded, next_grader_type=grader_type
).count()
util.log_connection_data()
return util._success_response({"to_be_graded_count": to_be_graded_count}, _INTERFACE_VERSION)
def get_submission_ml(request):
"""
Gets a submission for the ML grader
Input:
Get request with no parameters
"""
unique_locations = [x['location'] for x in list(Submission.objects.values('location').distinct())]
for location in unique_locations:
nothing_to_ml_grade_for_location_key = NOTHING_TO_ML_GRADE_LOCATION_CACHE_KEY.format(location=location)
# Go to the next location if we have recently determined that a location
# has no ML grading ready.
if cache.get(nothing_to_ml_grade_for_location_key):
continue
sl = staff_grading_util.StaffLocation(location)
subs_graded_by_instructor = sl.graded_count()
success = ml_grading_util.check_for_all_model_and_rubric_success(location)
if subs_graded_by_instructor >= settings.MIN_TO_USE_ML and success:
to_be_graded = Submission.objects.filter(
location=location,
state=SubmissionState.waiting_to_be_graded,
next_grader_type="ML",
)
if(to_be_graded.count() > 0):
to_be_graded = to_be_graded[0]
if to_be_graded is not None:
to_be_graded.state = SubmissionState.being_graded
to_be_graded.save()
return util._success_response({'submission_id' : to_be_graded.id}, _INTERFACE_VERSION)
# If we don't get a submission to return, then there is no ML grading for this location.
# Cache this boolean to avoid an expensive loop iteration.
cache.set(nothing_to_ml_grade_for_location_key, True, settings.RECHECK_EMPTY_ML_GRADE_QUEUE_DELAY)
util.log_connection_data()
# Set this cache key to ensure that this expensive function isn't repeatedly called when not needed.
cache.set(NOTHING_TO_ML_GRADE_CACHE_KEY, True, settings.RECHECK_EMPTY_ML_GRADE_QUEUE_DELAY)
return util._error_response("Nothing to grade.", _INTERFACE_VERSION)
def check_for_notifications(request):
"""
Check if a given problem name, location tuple is unique
Input:
A problem location and the problem name
Output:
Dictionary containing success, and and indicator of whether or not the name is unique
"""
if request.method != 'GET':
return util._error_response("Request type must be GET", _INTERFACE_VERSION)
for tag in ['course_id', 'user_is_staff', 'last_time_viewed', 'student_id']:
if tag not in request.GET:
return util._error_response("Missing required key {0}".format(tag), _INTERFACE_VERSION)
request_dict = request.GET.copy()
success, combined_notifications = grader_util.check_for_combined_notifications(request_dict)
if not success:
return util._error_response(combined_notifications,_INTERFACE_VERSION)
util.log_connection_data()
return util._success_response(combined_notifications, _INTERFACE_VERSION)
def submit(request):
'''
Xqueue pull script posts objects here.
Input:
request - dict with keys xqueue_header and xqueue_body
xqueue_header needs submission_id,submission_key,queue_name
xqueue_body needs grader_payload, student_info, student_response, max_score
grader_payload needs location, course_id,problem_id,grader
student_info needs anonymous_student_id, submission_time
Output:
Returns status code indicating success (0) or failure (1) and message
'''
transaction.commit_unless_managed()
if request.method != 'POST':
return util._error_response("'submit' must use HTTP POST", _INTERFACE_VERSION)
else:
#Minimal parsing of reply
reply_is_valid, header, body = _is_valid_reply(request.POST.copy())
if not reply_is_valid:
log.error("Invalid xqueue object added: request_ip: {0} request.POST: {1}".format(
util.get_request_ip(request),
request.POST,
))
statsd.increment("open_ended_assessment.grading_controller.controller.xqueue_interface.submit",
tags=["success:Exception"])
return util._error_response('Incorrect format', _INTERFACE_VERSION)
else:
try:
#Retrieve individual values from xqueue body and header.
prompt = util._value_or_default(body['grader_payload']['prompt'], "")
rubric = util._value_or_default(body['grader_payload']['rubric'], "")
student_id = util._value_or_default(body['student_info']['anonymous_student_id'])
location = util._value_or_default(body['grader_payload']['location'])
course_id = util._value_or_default(body['grader_payload']['course_id'])
problem_id = util._value_or_default(body['grader_payload']['problem_id'], location)
grader_settings = util._value_or_default(body['grader_payload']['grader_settings'], "")
student_response = util._value_or_default(body['student_response'])
student_response = util.sanitize_html(student_response)
xqueue_submission_id = util._value_or_default(header['submission_id'])
xqueue_submission_key = util._value_or_default(header['submission_key'])
state_code = SubmissionState.waiting_to_be_graded
xqueue_queue_name = util._value_or_default(header["queue_name"])
max_score = util._value_or_default(body['max_score'])
submission_time_string = util._value_or_default(body['student_info']['submission_time'])
student_submission_time = datetime.strptime(submission_time_string, "%Y%m%d%H%M%S")
skip_basic_checks = util._value_or_default(body['grader_payload']['skip_basic_checks'], False)
if isinstance(skip_basic_checks, basestring):
skip_basic_checks = (skip_basic_checks.lower() == "true")
#TODO: find a better way to do this
#Need to set rubric to whatever the first submission for this location had
#as its rubric. If the rubric is changed in the course XML, it will break things.
try:
first_sub_for_location=Submission.objects.filter(location=location).order_by('date_created')[0]
rubric= first_sub_for_location.rubric
except:
error_message="Could not find an existing submission in location. rubric is original."
log.info(error_message)
initial_display=""
if 'initial_display' in body['grader_payload'].keys():
initial_display = util._value_or_default(body['grader_payload']['initial_display'], "")
answer=""
if 'answer' in body['grader_payload'].keys():
answer = util._value_or_default(body['grader_payload']['answer'], "")
#Sleep for some time to allow other pull_from_xqueue processes to get behind/ahead
time_sleep_value = random.uniform(0, .1)
time.sleep(time_sleep_value)
transaction.commit_unless_managed()
#Without this, sometimes a race condition creates duplicate submissions
sub_count = Submission.objects.filter(
prompt=prompt,
rubric=rubric,
student_id=student_id,
problem_id=problem_id,
student_submission_time=student_submission_time,
xqueue_submission_id=xqueue_submission_id,
xqueue_submission_key=xqueue_submission_key,
xqueue_queue_name=xqueue_queue_name,
location=location,
course_id=course_id,
grader_settings=grader_settings,
).count()
if sub_count>0:
log.error("Exact submission already exists.")
return util._error_response('Submission already exists.', _INTERFACE_VERSION)
transaction.commit_unless_managed()
#Create submission object
sub, created = Submission.objects.get_or_create(
prompt=prompt,
rubric=rubric,
student_id=student_id,
problem_id=problem_id,
state=state_code,
student_response=student_response,
student_submission_time=student_submission_time,
xqueue_submission_id=xqueue_submission_id,
xqueue_submission_key=xqueue_submission_key,
xqueue_queue_name=xqueue_queue_name,
location=location,
course_id=course_id,
max_score=max_score,
grader_settings=grader_settings,
initial_display=initial_display,
answer=answer,
skip_basic_checks = skip_basic_checks,
)
transaction.commit_unless_managed()
if created==False:
log.error("Exact submission already exists.")
return util._error_response('Submission already exists.', _INTERFACE_VERSION)
except Exception as err:
xqueue_submission_id = util._value_or_default(header['submission_id'])
xqueue_submission_key = util._value_or_default(header['submission_key'])
log.exception(
"Error creating submission and adding to database: sender: {0}, submission_id: {1}, submission_key: {2}".format(
util.get_request_ip(request),
xqueue_submission_id,
xqueue_submission_key,
))
statsd.increment("open_ended_assessment.grading_controller.controller.xqueue_interface.submit",
tags=["success:Exception"])
return util._error_response('Unable to create submission.', _INTERFACE_VERSION)
#Handle submission and write to db
success = handle_submission(sub)
statsd.increment("open_ended_assessment.grading_controller.controller.xqueue_interface.submit",
tags=[
"success:{0}".format(success),
"location:{0}".format(sub.location),
"course_id:{0}".format(course_id),
])
transaction.commit_unless_managed()
if not success:
return util._error_response("Failed to handle submission.", _INTERFACE_VERSION)
util.log_connection_data()
transaction.commit_unless_managed()
return util._success_response({'message': "Saved successfully."}, _INTERFACE_VERSION)
def submit(request):
'''
Xqueue pull script posts objects here.
Input:
request - dict with keys xqueue_header and xqueue_body
xqueue_header needs submission_id,submission_key,queue_name
xqueue_body needs grader_payload, student_info, student_response, max_score
grader_payload needs location, course_id,problem_id,grader
student_info needs anonymous_student_id, submission_time
Output:
Returns status code indicating success (0) or failure (1) and message
'''
transaction.commit_unless_managed()
if request.method != 'POST':
return util._error_response("'submit' must use HTTP POST",
_INTERFACE_VERSION)
else:
#Minimal parsing of reply
reply_is_valid, header, body = _is_valid_reply(request.POST.copy())
if not reply_is_valid:
log.error(
"Invalid xqueue object added: request_ip: {0} request.POST: {1}"
.format(
util.get_request_ip(request),
request.POST,
))
statsd.increment(
"open_ended_assessment.grading_controller.controller.xqueue_interface.submit",
tags=["success:Exception"])
return util._error_response('Incorrect format', _INTERFACE_VERSION)
else:
try:
#Retrieve individual values from xqueue body and header.
prompt = util._value_or_default(
body['grader_payload']['prompt'], "")
rubric = util._value_or_default(
body['grader_payload']['rubric'], "")
student_id = util._value_or_default(
body['student_info']['anonymous_student_id'])
location = util._value_or_default(
body['grader_payload']['location'])
course_id = util._value_or_default(
body['grader_payload']['course_id'])
problem_id = util._value_or_default(
body['grader_payload']['problem_id'], location)
grader_settings = util._value_or_default(
body['grader_payload']['grader_settings'], "")
student_response = util._value_or_default(
body['student_response'])
student_response = util.sanitize_html(student_response)
xqueue_submission_id = util._value_or_default(
header['submission_id'])
xqueue_submission_key = util._value_or_default(
header['submission_key'])
state_code = SubmissionState.waiting_to_be_graded
xqueue_queue_name = util._value_or_default(
header["queue_name"])
max_score = util._value_or_default(body['max_score'])
submission_time_string = util._value_or_default(
body['student_info']['submission_time'])
student_submission_time = datetime.strptime(
submission_time_string, "%Y%m%d%H%M%S")
control_fields = body['grader_payload'].get('control', {})
try:
control_fields = json.loads(control_fields)
except Exception:
pass
skip_basic_checks = util._value_or_default(
body['grader_payload']['skip_basic_checks'], False)
if isinstance(skip_basic_checks, basestring):
skip_basic_checks = (skip_basic_checks.lower() == "true")
#TODO: find a better way to do this
#Need to set rubric to whatever the first submission for this location had
#as its rubric. If the rubric is changed in the course XML, it will break things.
try:
first_sub_for_location = Submission.objects.filter(
location=location).order_by('date_created')[0]
rubric = first_sub_for_location.rubric
except Exception:
error_message = "Could not find an existing submission in location. rubric is original."
log.info(error_message)
initial_display = ""
if 'initial_display' in body['grader_payload'].keys():
initial_display = util._value_or_default(
body['grader_payload']['initial_display'], "")
answer = ""
if 'answer' in body['grader_payload'].keys():
answer = util._value_or_default(
body['grader_payload']['answer'], "")
#Sleep for some time to allow other pull_from_xqueue processes to get behind/ahead
time_sleep_value = random.uniform(0, .1)
time.sleep(time_sleep_value)
transaction.commit_unless_managed()
#Without this, sometimes a race condition creates duplicate submissions
sub_count = Submission.objects.filter(
prompt=prompt,
rubric=rubric,
student_id=student_id,
problem_id=problem_id,
student_submission_time=student_submission_time,
xqueue_submission_id=xqueue_submission_id,
xqueue_submission_key=xqueue_submission_key,
xqueue_queue_name=xqueue_queue_name,
location=location,
course_id=course_id,
grader_settings=grader_settings,
).count()
if sub_count > 0:
return util._error_response('Submission already exists.',
_INTERFACE_VERSION)
transaction.commit_unless_managed()
#Create submission object
sub, created = Submission.objects.get_or_create(
prompt=prompt,
rubric=rubric,
student_id=student_id,
problem_id=problem_id,
state=state_code,
student_response=student_response,
student_submission_time=student_submission_time,
xqueue_submission_id=xqueue_submission_id,
xqueue_submission_key=xqueue_submission_key,
xqueue_queue_name=xqueue_queue_name,
location=location,
course_id=course_id,
max_score=max_score,
grader_settings=grader_settings,
initial_display=initial_display,
answer=answer,
skip_basic_checks=skip_basic_checks,
control_fields=json.dumps(control_fields))
transaction.commit_unless_managed()
if created == False:
return util._error_response('Submission already exists.',
_INTERFACE_VERSION)
except Exception as err:
xqueue_submission_id = util._value_or_default(
header['submission_id'])
xqueue_submission_key = util._value_or_default(
header['submission_key'])
log.exception(
"Error creating submission and adding to database: sender: {0}, submission_id: {1}, submission_key: {2}"
.format(
util.get_request_ip(request),
xqueue_submission_id,
xqueue_submission_key,
))
statsd.increment(
"open_ended_assessment.grading_controller.controller.xqueue_interface.submit",
tags=["success:Exception"])
return util._error_response('Unable to create submission.',
_INTERFACE_VERSION)
#Handle submission and write to db
success = handle_submission(sub)
statsd.increment(
"open_ended_assessment.grading_controller.controller.xqueue_interface.submit",
tags=[
"success:{0}".format(success),
"location:{0}".format(sub.location),
"course_id:{0}".format(course_id),
])
transaction.commit_unless_managed()
if not success:
return util._error_response("Failed to handle submission.",
_INTERFACE_VERSION)
util.log_connection_data()
transaction.commit_unless_managed()
return util._success_response({'message': "Saved successfully."},
_INTERFACE_VERSION)