def test_generate_thumbnail(self):
# Create exercise node (generated images are more predictable)
node = ContentNode(title="Test Node", kind_id=content_kinds.EXERCISE)
node.save()
# Create assessment item with image
assessment_item = AssessmentItem(contentnode=node)
assessment_item.save()
self.thumbnail_fobj.assessment_item = assessment_item
self.thumbnail_fobj.preset_id = format_presets.EXERCISE_IMAGE
self.thumbnail_fobj.save()
# Call generate_thumbnail endpoint
request = self.create_post_request(reverse_lazy('generate_thumbnail', kwargs={'contentnode_id': node.pk}))
response = generate_thumbnail(request, node.pk)
self.assertEqual(response.status_code, 200)
file_data = json.loads(response.content)
self.assertEqual(file_data['encoding'], generated_base64encoding())
def create_exercises(node, data):
""" Generate exercise from data """
with transaction.atomic():
order = 0
for question in data:
question_obj = AssessmentItem(
type = question.get('type'),
question = question.get('question'),
hints = question.get('hints'),
answers = question.get('answers'),
order = order,
contentnode = node,
assessment_id = question.get('assessment_id'),
raw_data = question.get('raw_data'),
)
order += 1
question_obj.save()
map_files_to_assessment_item(question_obj, question['files'])
def test_generate_thumbnail(self):
# Create exercise node (generated images are more predictable)
node = ContentNode(title="Test Node", kind_id=content_kinds.EXERCISE)
node.save()
# Create assessment item with image
assessment_item = AssessmentItem(contentnode=node)
assessment_item.save()
self.thumbnail_fobj.assessment_item = assessment_item
self.thumbnail_fobj.preset_id = format_presets.EXERCISE_IMAGE
self.thumbnail_fobj.save()
# Call generate_thumbnail endpoint
request = self.create_post_request(
reverse_lazy('generate_thumbnail',
kwargs={'contentnode_id': node.pk}))
response = generate_thumbnail(request, node.pk)
self.assertEqual(response.status_code, 200)
file_data = json.loads(response.content)
self.assertEqual(file_data['encoding'], generated_base64encoding())
def create_exercises(user, node, data):
""" Generate exercise from data """
with transaction.atomic():
order = 0
for question in data:
question_obj = AssessmentItem(
type=question.get('type'),
question=question.get('question'),
hints=question.get('hints'),
answers=question.get('answers'),
order=order,
contentnode=node,
assessment_id=question.get('assessment_id'),
raw_data=question.get('raw_data'),
source_url=question.get('source_url'),
randomize=question.get('randomize') or False,
)
order += 1
question_obj.save()
map_files_to_assessment_item(user, question_obj, question['files'])