def import_models(self, fake=False):
with BulkCreator(model_class=CommentFile) as commentfile_bulk_creator:
for object_dict in self.v2filemeta_directoryparser.iterate_object_dicts():
if fake:
print('Would import: {}'.format(pprint.pformat(object_dict)))
else:
comment_file = self._create_comment_file_from_object_id(object_dict=object_dict)
commentfile_bulk_creator.add(comment_file)
def import_models(self, fake=False):
with BulkCreator(model_class=CommentFile) as commentfile_bulk_creator:
for object_dict in self.v2staticfeedback_directoryparser.iterate_object_dicts():
if fake:
print('Would import: {}'.format(pprint.pformat(object_dict)))
else:
group_comment, commentfiles = self._create_group_comment_from_object_dict(object_dict=object_dict)
if commentfiles:
commentfile_bulk_creator.add(*commentfiles)
def import_models(self, fake=False):
directory_parser = self.v2deadline_directoryparser
directory_parser.set_max_id_for_models_with_auto_generated_sequence_numbers(model_class=self.get_model_class())
with BulkCreator(model_class=FeedbackSet) as feedbackset_bulk_creator:
for object_dict in directory_parser.iterate_object_dicts():
if fake:
print('Would import: {}'.format(pprint.pformat(object_dict)))
else:
feedback_set = self._create_feedback_set_from_object_dict(object_dict=object_dict)
feedbackset_bulk_creator.add(feedback_set)
def import_models(self, fake=False):
directory_parser = self.v2qualifiesforexam_status_directoryparser
directory_parser.set_max_id_for_models_with_auto_generated_sequence_numbers(model_class=self.get_model_class())
with BulkCreator(model_class=self.get_model_class()) as status_bulk_creator:
for object_dict in directory_parser.iterate_object_dicts():
if fake:
print('Would import: {}'.format(pprint.pformat(object_dict)))
else:
status = self._create_status_from_object_dict(object_dict=object_dict)
status_bulk_creator.add(status)
def import_models(self, fake=False):
directory_parser = self.v2assignmentgroup_directoryparser
directory_parser.set_max_id_for_models_with_auto_generated_sequence_numbers(
model_class=self.get_model_class())
with BulkCreator(model_class=AssignmentGroup) as group_bulk_creator:
for object_dict in directory_parser.iterate_object_dicts():
if fake:
print('Would import: {}'.format(
pprint.pformat(object_dict)))
else:
group = self._create_assignmentgroup_from_object_dict(
object_dict=object_dict)
group_bulk_creator.add(group)
def import_models(self, fake=False):
directory_parser = self.v2pointrangetograde_directoryparser
directory_parser.set_max_id_for_models_with_auto_generated_sequence_numbers(
model_class=self.get_model_class())
with BulkCreator(model_class=self.get_model_class()
) as point_range_to_grade_bulk_creator:
for object_dict in directory_parser.iterate_object_dicts():
if fake:
print('Would import: {}'.format(
pprint.pformat(object_dict)))
else:
point_range_to_grade = self._create_point_range_to_grade_from_object_dict(
object_dict=object_dict)
point_range_to_grade_bulk_creator.add(point_range_to_grade)