Pydantic models for nomad
Project description
nomad-pydantic
Typed Python models for building, validating, rendering, and managing Nomad jobs.
nomad-pydantic represents jobs, task groups, tasks, resources, services,
volumes, and periodic schedules as Pydantic models. It renders the JSON envelope
accepted by nomad job run -json and provides a mockable client for common
Nomad CLI lifecycle operations.
from nomad_pydantic import Job, NomadConfiguration, Task, TaskGroup
config = NomadConfiguration(
job=Job(
id="hello",
type="batch",
task_groups=[
TaskGroup(
name="hello",
tasks=[
Task(
name="hello",
driver="docker",
config={"image": "alpine:3", "args": ["echo", "hello"]},
)
],
)
],
)
)
config.write()
Documentation
- Tutorial builds and renders a first job.
- How-to guides cover Hydra, periodic jobs, and lifecycle operations.
- Concepts explains the model hierarchy and JSON boundary.
- API reference documents every public model and client.
Ecosystem
nomad-pydantic follows the same configuration pattern as
supervisor-pydantic,
systemd-pydantic, and
cron-pydantic. The broader
declarative Airflow stack is built from
airflow-pydantic and
airflow-config, with runtime
integrations provided by
airflow-supervisor,
airflow-systemd, and
airflow-cron.
Installation
pip install nomad-pydantic
Project details
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