styxpodman is a Python package that provides Podman integration for Styx compiled wrappers. It allows you to run Styx functions within Podman containers, offering improved isolation and reproducibility for your workflows.
You can install styxpodman using pip:
pip install styxpodmanfrom styxdefs import set_global_runner
from styxpodman import PodmanRunner
# Initialize the PodmanRunner
runner = PodmanRunner()
# Set the global runner for Styx
set_global_runner(runner)
# Now you can use any Styx functions as usual, and they will run in Podman containersThe PodmanRunner class accepts several parameters for advanced configuration:
image_overrides: A dictionary to override container image tagspodman_executable: Path to the Podman executable (default:"podman")data_dir: Directory for temporary data storageenviron: Environment variables to set in the container
Example:
runner = PodmanRunner(
image_overrides={"python:3.9": "my-custom-python:3.9"},
podman_executable="/usr/local/bin/podman",
data_dir="/tmp/styx_data",
environ={"PYTHONPATH": "/app/lib"}
)styxpodman provides a custom error class, StyxPodmanError, which is raised when a Podman execution fails. This error includes details about the return code, command arguments, and Podman arguments for easier debugging.
Contributions to styxpodman are welcome! Please refer to the GitHub repository for information on how to contribute, report issues, or submit pull requests.
styxpodman is released under the MIT License. See the LICENSE file for details.
For detailed API documentation, please visit our API Docs.
If you encounter any issues or have questions, please open an issue on the GitHub repository.
- Python 3.10+
- Podman installed and running on your system
Comparison with styxdocker
While styxdocker and styxpodman serve similar purposes, they have some key differences:
- Container Technology:
styxdockeruses Docker, whilestyxpodmanuses Podman.
Choose the package that best fits your infrastructure and requirements.