def _get_sections(client_facade: ClientFacade, output_directory: str) -> None:
sections = client_facade.get_sections()
result_bucket["sections"] = sections
_create_file_from_dataframe(sections,
lms.get_section_file_path(output_directory))
def _initialize(
arguments: MainArguments,
) -> Tuple[ClientFacade, sqlalchemy.engine.base.Engine]:
global logger
try:
request_client: RequestClient = RequestClient(arguments.client_key,
arguments.client_secret)
db_engine = get_sync_db_engine(arguments.sync_database_directory)
facade = ClientFacade(request_client, arguments.page_size, db_engine)
# Will generate an exception if directory is not valid
os.lstat(arguments.output_directory)
if arguments.input_directory:
os.lstat(arguments.input_directory)
return facade, db_engine
except BaseException as e:
logger.critical(e)
print(
"A fatal error occurred, please review the log output for more information.",
file=sys.stderr,
)
sys.exit(1)
def _get_section_activities(facade: ClientFacade, output_directory: str,
section_id: int) -> None:
section_activities_file_path: str = lms.get_section_activities_file_path(
output_directory, section_id)
section_activities = facade.get_section_activities(section_id)
_create_file_from_dataframe(section_activities,
section_activities_file_path)
def _get_section_associations(client_facade: ClientFacade,
output_directory: str, section_id: int) -> None:
file_path = lms.get_section_association_file_path(output_directory,
section_id)
section_associations = client_facade.get_section_associations(section_id)
result_bucket["section_associations"] = section_associations
_create_file_from_dataframe(section_associations, file_path)
def _get_assignments(client_facade: ClientFacade, output_directory: str,
section_id: int) -> None:
assignment_file_path: str = lms.get_assignment_file_path(
output_directory, section_id)
assignments = client_facade.get_assignments(section_id)
result_bucket["assignments"] = assignments
_create_file_from_dataframe(assignments, assignment_file_path)
def _get_attendance_events(client_facade: ClientFacade, output_directory: str,
section_id: int) -> None:
file_path = lms.get_attendance_events_file_path(output_directory,
section_id)
section_associations: DataFrame = result_bucket["section_associations"]
attendance_events: DataFrame = client_facade.get_attendance_events(
section_id, section_associations)
_create_file_from_dataframe(attendance_events, file_path)
def _get_submissions(client_facade: ClientFacade, output_directory: str,
section_id: int) -> None:
assignments: DataFrame = result_bucket["assignments"]
if not assignments.empty:
for assignment in assignments["SourceSystemIdentifier"].tolist():
assignment_id = int(assignment)
submission_file_name = lms.get_submissions_file_path(
output_directory, section_id, assignment_id)
submissions = client_facade.get_submissions(
assignment_id, section_id)
_create_file_from_dataframe(
submissions,
submission_file_name,
)
def _get_users(client_facade: ClientFacade, output_directory: str) -> None:
users = client_facade.get_users()
_create_file_from_dataframe(users,
lms.get_user_file_path(output_directory))