supervisor-pydantic
Typed, YAML-friendly models and lifecycle tools for supervisord.
from supervisor_pydantic import ProgramConfiguration, SupervisorConvenienceConfiguration
config = SupervisorConvenienceConfiguration(
working_dir="/tmp/example-supervisor",
program={
"worker": ProgramConfiguration(command="python worker.py"),
},
)
print(config.to_cfg())
The package models supervisord configuration sections, renders
supervisord.conf, loads Hydra/YAML configuration, exposes an XML-RPC client,
and provides the _supervisor_convenience lifecycle CLI.
Documentation
- Tutorial: render a supervisord configuration
- How-to guides
- Why the convenience layer exists
- API reference
Published documentation is available at airflow-laminar.github.io/supervisor-pydantic.
Ecosystem
- systemd-pydantic provides aligned models for systemd services and timers.
- cron-pydantic models traditional crontabs.
- airflow-supervisor orchestrates these configurations from Airflow.
- airflow-systemd and airflow-cron provide alternative Airflow integrations.
- airflow-pydantic supplies declarative Airflow models.
- airflow-config loads YAML-based Airflow configurations.
1 maintainer
Metadata
1 maintainer
Release files for supervisor-pydantic 1.5.0
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| File | Size | Uploaded | |
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| supervisor_pydantic-1.5.0.tar.gz | 38.1 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| supervisor_pydantic-1.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 100.6 kB
Release files / supervisor_pydantic-1.5.0.tar.gz
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| Tags | Python 3 |
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