pysae-cli-tools 0.1.5

Reusable utilities for Pysae Python CLIs (k8s pod dispatch, …).

pysae-cli-tools

Reusable utilities for Pysae Python CLIs.

Installation

pip install pysae-cli-tools
# or
poetry add pysae-cli-tools

What's included

pysae_cli_tools.k8s — run any Typer command in an ephemeral pod

The @k8s_support decorator injects three flags into a Typer command — --k8s, --k8s-environment {dev|prod}, --k8s-from-local-sources — and dispatches the call into a freshly-spawned Kubernetes pod when --k8s is set.

It is meant for CLIs that need to run inside the same network as their target infrastructure (private-link databases, VPC-only APIs, …) without rewriting the command for kubectl run.

Usage with build_k8s_support (recommended)

Most projects share the same K8sConfig across every decorated command — declare it once and reuse the bound decorator everywhere:

from pathlib import Path

from typer import Typer

from pysae_cli_tools.k8s import K8sConfig, build_k8s_support

K8S_CONFIG = K8sConfig(
    default_image="<registry>/<project>:latest",
    project_root=Path(__file__).resolve().parents[1],
    copy_paths=("my_pkg", "pyproject.toml", "poetry.lock"),
    install_script=(
        "apt-get update -qq && pip install poetry && "
        "poetry config virtualenvs.create false && "
        "poetry install --only main --no-interaction"
    ),
    forwarded_envvars=("MY_API_KEY", "MY_DB_URI"),
    redacted_options=("--api-key", "--password"),
)

k8s_support = build_k8s_support(K8S_CONFIG)
app = Typer()


@app.command()
@k8s_support()
def my_command() -> None:
    ...


@app.command()
@k8s_support(pod_name_prefix="my-second-command")  # override per-command
def my_second_command() -> None:
    ...

Usage with the explicit form

When you want to use a different config per command, pass it directly:

from pysae_cli_tools.k8s import K8sConfig, k8s_support

@app.command()
@k8s_support(config=K8S_CONFIG)
def my_command() -> None:
    ...

What happens at runtime

When --k8s is set on the command line, the decorator:

1. Spawns an ephemeral pod using K8sConfig.default_image (or the Dockerfile base image when --k8s-from-local-sources is also set).
2. Forwards every envvar listed in K8sConfig.forwarded_envvars from your local shell into the pod's env block.
3. Runs python -m <your.cli.module> <subcommand> <filtered argv> inside the pod, with values matching K8sConfig.redacted_options masked in the [K8S] Running: log line.
4. Streams stdout/stderr back to your terminal and deletes the pod on exit.

See pysae_cli_tools/k8s/config.py for the complete K8sConfig reference.

Development

poetry install
poetry run pre-commit install
poetry run pytest

CI publishes a new version to PyPI on every push to main — see .gitlab-ci.yml. The version is computed from git describe via pysae_cli_tools.compute_version.