Local#

Grader#

class AutogradingStatus(status: str, started_at: datetime.datetime, finished_at: datetime.datetime)[source]#

finished_at: datetime.datetime#

started_at: datetime.datetime#

status: str#

class LocalAutogradeExecutor(**kwargs: Any)[source]#

Runs an autograde job on the local machine with the current Python environment. Sets up the necessary directories and the gradebook JSON file used by grader_convert.

base_input_path#: A trait for unicode strings.

base_output_path#: A trait for unicode strings.

git_executable#: A trait for unicode strings.

property input_path#

property output_path#

async start()[source]#: Starts the autograding job. This is the only method that is exposed to the client. It re-raises all exceptions that happen while running.

class LocalProcessAutogradeExecutor(**kwargs: Any)[source]#

Runs an autograde job on the local machine with the default Python environment in a separate process. Sets up the necessary directories and the gradebook JSON file used by grader_convert.

autograding_finished: Optional[datetime.datetime]#

autograding_start: Optional[datetime.datetime]#

autograding_status: Optional[str]#

convert_executable#: A trait for unicode strings.

grading_logs: Optional[str]#

session: sqlalchemy.orm.session.Session#

rm_error(func, path, exc_info)[source]#

Feedback#

class GenerateFeedbackExecutor(**kwargs: Any)[source]#

autograding_finished: Optional[datetime]#

autograding_start: Optional[datetime]#

autograding_status: Optional[str]#

grading_logs: Optional[str]#

property input_path#

property output_path#

session: Session#

class GenerateFeedbackProcessExecutor(**kwargs: Any)[source]#

autograding_finished: Optional[datetime]#

autograding_start: Optional[datetime]#

autograding_status: Optional[str]#

convert_executable#: A trait for unicode strings.

grading_logs: Optional[str]#

session: Session#

Executor

Kube Grading