systemd-pydantic

Typed, YAML-friendly models and lifecycle tools for systemd services and timers.

from systemd_pydantic import ServiceConfiguration, ServiceUnitConfiguration

unit = ServiceUnitConfiguration(
    unit={"description": "Example worker"},
    service=ServiceConfiguration(
        type="exec",
        exec_start="/opt/jobs/worker",
        restart="on-failure",
    ),
)

print(unit.to_unit_file())

The package models unit-file sections, named service/timer collections, filesystem persistence, systemctl operations, and a convenience CLI used by external orchestrators.

Documentation

• Tutorial: render a service and timer

• How-to guides

• Why services and timers share one model

• API reference

Published documentation is available at airflow-laminar.github.io/systemd-pydantic.

Ecosystem

• supervisor-pydantic provides the analogous supervisord models.

• cron-pydantic models traditional crontabs.

• airflow-systemd orchestrates these services from Airflow.

• airflow-supervisor and airflow-cron provide alternative Airflow integrations.

• airflow-pydantic supplies declarative Airflow models.

• airflow-config loads YAML-based Airflow configurations.

Note

This library was generated using copier from the Base Python Project Template repository.