config command

Synopsis

uv run python -m scripts.cli config [ACTION] [OPTIONS]

Actions

view

Print the current config as JSON or YAML.

uv run python -m scripts.cli config view --path ./config.yaml
uv run python -m scripts.cli config view --path ./config.yaml --output-format yaml

When --path is omitted, the CLI uses ./config.yaml. If that default file is missing or empty, load_config() populates it with ProjectConfig() defaults.

save

Load an existing config, validate it, and write it back. If the file doesn't exist, creates a new default.

uv run python -m scripts.cli config save --path ./config.yaml

Useful after manually editing config.yaml — catches validation errors before the next CI run.

generate-default

Write a fresh ProjectConfig() with all Pydantic defaults to disk. Prompts before overwriting an existing file.

uv run python -m scripts.cli config generate-default --path ./config.yaml

Notes

• Config files are always written as YAML (via PyYAML).
• The config is serialized with mode="json" to produce clean, safe-loadable YAML (avoids Python-object tags).
• load_config() validates the file on load — a malformed config fails fast.