def test_get_single_peer_grading_item(self):
for i in xrange(0,settings.MIN_TO_USE_PEER):
test_sub = test_util.get_sub("PE", STUDENT_ID, LOCATION, "PE")
test_sub.save()
handle_submission(test_sub)
test_grader = test_util.get_grader("IN")
test_grader.submission=test_sub
test_grader.save()
test_sub.state = SubmissionState.finished
test_sub.previous_grader_type = "IN"
test_sub.posted_results_back_to_queue = True
test_sub.save()
test_sub = test_util.get_sub("PE", ALTERNATE_STUDENT, LOCATION, "PE")
test_sub.save()
handle_submission(test_sub)
test_sub.is_duplicate = False
test_sub.save()
pl = peer_grading_util.PeerLocation(LOCATION, STUDENT_ID)
found, grading_item = pl.next_item()
self.assertEqual(found, True)
pl = peer_grading_util.PeerLocation(LOCATION,"1")
subs_graded = pl.graded()
def test_get_single_peer_grading_item(self):
for i in xrange(0,settings.MIN_TO_USE_PEER):
test_sub = test_util.get_sub("PE", STUDENT_ID, LOCATION, "PE")
test_sub.save()
handle_submission(test_sub)
test_grader = test_util.get_grader("IN")
test_grader.submission=test_sub
test_grader.save()
test_sub.state = SubmissionState.finished
test_sub.previous_grader_type = "IN"
test_sub.posted_results_back_to_queue = True
test_sub.save()
test_sub = test_util.get_sub("PE", ALTERNATE_STUDENT, LOCATION, "PE")
test_sub.save()
handle_submission(test_sub)
test_sub.is_duplicate = False
test_sub.save()
pl = peer_grading_util.PeerLocation(LOCATION, STUDENT_ID)
found, grading_item = pl.next_item()
self.assertEqual(found, True)
pl = peer_grading_util.PeerLocation(LOCATION,"1")
subs_graded = pl.graded()
def test_get_peer_grading_notifications(self):
test_sub = test_util.get_sub("PE", ALTERNATE_STUDENT, LOCATION, "PE")
test_sub.save()
handle_submission(test_sub)
test_sub.next_grader_type = "PE"
test_sub.is_duplicate = False
test_sub.save()
test_sub = test_util.get_sub("PE", STUDENT_ID, LOCATION, "PE")
test_sub.save()
handle_submission(test_sub)
test_sub.next_grader_type = "PE"
test_sub.is_duplicate = False
test_sub.save()
success, student_needs_to_peer_grade = peer_grading_util.get_peer_grading_notifications(COURSE_ID, ALTERNATE_STUDENT)
self.assertEqual(success, True)
self.assertEqual(student_needs_to_peer_grade, True)
def test_get_peer_grading_notifications(self):
test_sub = test_util.get_sub("PE", ALTERNATE_STUDENT, LOCATION, "PE")
test_sub.save()
handle_submission(test_sub)
test_sub.next_grader_type = "PE"
test_sub.is_duplicate = False
test_sub.save()
test_sub = test_util.get_sub("PE", STUDENT_ID, LOCATION, "PE")
test_sub.save()
handle_submission(test_sub)
test_sub.next_grader_type = "PE"
test_sub.is_duplicate = False
test_sub.save()
pc = peer_grading_util.PeerCourse(COURSE_ID, ALTERNATE_STUDENT)
success, student_needs_to_peer_grade = pc.notifications()
self.assertEqual(success, True)
self.assertEqual(student_needs_to_peer_grade, True)
def test_subs_to_peer_grading(self):
submission = test_util.get_sub(
"BC",
STUDENT_ID,
LOCATION,
course_id=COURSE_ID,
preferred_grader_type="PE",
student_response="This is answer."
)
submission.preferred_grader_type = "NA"
submission.save()
handle_submission(submission)
submission = Submission.objects.get(id=submission.id)
self.assertEqual(
submission.state, SubmissionState.waiting_to_be_graded
)
self.assertEqual(submission.preferred_grader_type, "PE")
self.assertEqual(submission.next_grader_type, "IN")
# Skipping submission from instructor to ML.
set_instructor_grading_item_back_to_preferred_grader(submission.id)
submission = Submission.objects.get(id=submission.id)
submission.next_grader_type = "ML"
submission.save()
# Divert skipped submission to peer grading.
update_subs_skipped_by_instructor(COURSE_ID, dry_run=False)
# Next grader type should be PE.
submission = Submission.objects.get(id=submission.id)
self.assertEqual(submission.next_grader_type, "PE")
peer_location = PeerLocation(student_id="123", location=LOCATION)
pending_submissions = peer_location.pending()
self.assertEqual(pending_submissions.count(), 1)
def handle(self, *args, **options):
"""
Read from file
"""
if len(args) != 2:
raise Exception("Not enough input arguments!")
number, location = args
number = int(number)
valid_location_dicts = Submission.objects.all().values(
'location').distinct()
valid_locations = [vld['location'] for vld in valid_location_dicts]
if location not in valid_locations:
raise Exception(
"Cannot find location in the available locations. Available locations are: {0}"
.format(valid_locations))
if number < COUNT_MIN or number > COUNT_MAX:
raise Exception(
"Input number is too large or too small. Must be over {0} and under {1}."
.format(COUNT_MIN, COUNT_MAX))
sub_count = Submission.objects.filter(location=location).count()
if number >= sub_count:
raise Exception(
"You specified too high a number of copies. Only {0} submissions exist for location {1}."
.format(sub_count, location))
slice_start = random.randint(0, sub_count - number - 1)
subs = Submission.objects.filter(
location=location)[slice_start:(slice_start + number)]
last_sub = Submission.objects.filter(
location=location).order_by('-date_modified')[0]
preferred_grader_type = last_sub.preferred_grader_type
log.info(
"Copying {0} submissions from location {1}. Starting from number {2}."
.format(number, location, slice_start))
for sub in subs:
#Set these to none to copy the submission
sub.pk = None
sub.id = None
#Reset basic information
sub.student_id = COPIED_STUDENT_ID
sub.state = SubmissionState.waiting_to_be_graded
if sub.preferred_grader_type == "NA":
sub.preferred_grader_type = preferred_grader_type
if sub.preferred_grader_type == "IN":
sub.preferred_grader_type = preferred_grader_type
if sub.grader_settings == "":
sub.grader_settings = GRADER_SETTINGS[
sub.preferred_grader_type]
sub.previous_grader_type = "NA"
sub.next_grader_type = "BC"
sub.xqueue_submission_id = ""
sub.xqueue_submission_key = ""
sub.skip_basic_checks = False
sub.save()
#Run basic checks on the sub
handle_submission(sub)
#Ensure that submission is not marked as a duplicate
sub.is_duplicate = False
sub.is_plagiarized = False
sub.duplicate_submission_id = None
sub.save()
log.info("Done copying submissions.")
transaction.commit_unless_managed()
def handle(self, *args, **options):
"""
Read from file
"""
if len(args)!=2:
raise Exception("Not enough input arguments!")
number, location= args
number = int(number)
valid_location_dicts = Submission.objects.all().values('location').distinct()
valid_locations = [vld['location'] for vld in valid_location_dicts]
if location not in valid_locations:
raise Exception("Cannot find location in the available locations. Available locations are: {0}".format(valid_locations))
if number < COUNT_MIN or number> COUNT_MAX:
raise Exception("Input number is too large or too small. Must be over {0} and under {1}.".format(COUNT_MIN, COUNT_MAX))
sub_count = Submission.objects.filter(location=location).count()
if number >= sub_count:
raise Exception("You specified too high a number of copies. Only {0} submissions exist for location {1}.".format(sub_count, location))
slice_start = random.randint(0, sub_count - number -1)
subs = Submission.objects.filter(location=location)[slice_start:(slice_start+number)]
last_sub = Submission.objects.filter(location=location).order_by('-date_modified')[0]
preferred_grader_type = last_sub.preferred_grader_type
log.info("Copying {0} submissions from location {1}. Starting from number {2}.".format(number, location, slice_start))
for sub in subs:
#Set these to none to copy the submission
sub.pk = None
sub.id = None
#Reset basic information
sub.student_id = COPIED_STUDENT_ID
sub.state = SubmissionState.waiting_to_be_graded
if sub.preferred_grader_type == "NA":
sub.preferred_grader_type = preferred_grader_type
if sub.preferred_grader_type == "IN":
sub.preferred_grader_type = preferred_grader_type
if sub.grader_settings == "":
sub.grader_settings = GRADER_SETTINGS[sub.preferred_grader_type]
sub.previous_grader_type = "NA"
sub.next_grader_type = "BC"
sub.xqueue_submission_id = ""
sub.xqueue_submission_key = ""
sub.skip_basic_checks = False
sub.save()
#Run basic checks on the sub
handle_submission(sub)
#Ensure that submission is not marked as a duplicate
sub.is_duplicate = False
sub.is_plagiarized = False
sub.duplicate_submission_id = None
sub.save()
log.info("Done copying submissions.")
transaction.commit_unless_managed()
