logging
The logging parameter controls the worker's logger.
Definition
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24 | @dataclasses.dataclass(
frozen=True,
)
class LoggingEvents:
on_success: bool = False
on_failure: bool = True
on_timeout: bool = True
on_retry: bool = True
on_max_retries: bool = True
on_requeue: bool = True
@dataclasses.dataclass(
frozen=True,
)
class Logging:
level: int = logging.ERROR
log_to_stdout: bool = False
events: LoggingEvents = dataclasses.field(
default_factory=LoggingEvents,
)
handlers: typing.List[logging.Handler] = dataclasses.field(
default_factory=list,
)
|
There are the following configuration options:
level [logging.ERROR] - The logger's logging.level. Available levels can be found in the logging library.log_to_stdout [False] - Whether the logger should write to stdout.Events - Events which the logger should record.
on_success [False] - When a task is successfully completed.on_failure - Whenever a task fails.on_timeout [True] - When a task timed out.on_retry [True] - Whenever a task asks for retry.on_max_retries [True] - Each time a task asks for a retry beyond the maximum number of tries.on_requeue [True] - Every time a task requeues.on_stop [True] - Every time a task calls stop or is interrupted by a SIGTERM.
handlers - List of handlers [logging.Handler] attached to the logging.Logger object.
Examples