airflow_systemd.SystemdAirflowConfiguration

pydantic model airflow_systemd.SystemdAirflowConfiguration[source]

Bases: SystemdConvenienceConfiguration

Systemd configuration for an Airflow-managed job.

field check_interval: timedelta = datetime.timedelta(seconds=5)

Interval between service status checks

field check_timeout: timedelta = datetime.timedelta(seconds=28800)

Timeout for service status checks

field runtime: timedelta | None = None

Maximum runtime of the systemd job

field endtime: time | None = None

End time of the systemd job

field maxretrigger: int | None = None

Maximum number of service check retriggers

field reference_date: Literal['start_date', 'logical_date', 'data_interval_end'] = 'data_interval_end'

Date used to evaluate runtime and endtime

field pool: str | Pool | None = None

Airflow pool for systemd tasks

field stop_on_exit: bool = True

Stop services when the DAG finishes

field cleanup: bool = True

Remove generated unit files when the DAG finishes

field restart_on_initial: bool = False

Restart services on an initial Airflow run

field restart_on_retrigger: bool = False

Restart services when airflow-ha retriggers the job

systemd_json() → str[source]

Serialize only fields understood by systemd-pydantic.