durango 0.1.2

Flexible layered configuration management built on Pydantic Settings.

Durango

Durango is a lightweight configuration management toolkit that layers strongly typed settings, configuration files, environment variables, and programmatic overrides using Pydantic Settings. It is designed for CLI tools and services that need predictable precedence, multi-format config files, and clear error reporting.

Key Features

• Config precedence: defaults → config file → environment variables → user overrides.
• Format flexibility: parse YAML, JSON, or TOML files by default with optional extras.
• Typed settings: describe your configuration with Pydantic models and receive fully validated objects.
• Reload aware: refresh configuration at runtime and hook into lifecycle callbacks.
• Extensible: adapt environment prefixes, merge behaviour, and file lookup strategies to fit your application.

Quick Start

from durango import ConfigManager, DurangoSettings


class AppSettings(DurangoSettings):
    debug: bool = False
    api_url: str


manager = ConfigManager(
    settings_type=AppSettings,
    identifier="MYAPP",
    default_file="~/.config/myapp/settings.yaml",
)

settings = manager.load()
print(settings.api_url)

If ~/.config/myapp/settings.yaml does not exist, Durango will create it and populate it with the model defaults before layering environment variables and runtime overrides.

Environment variables take the form MYAPP__API_URL=true. To override a nested section named database, use MYAPP__DATABASE__URL.

Documentation

• Docs site (WIP): see docs/
• Architecture notes: ARCH.md
• Working session notes: notes/STATUS.md

Contributing

See docs/contributing.md for full setup, workflow, and review guidelines. Highlights:

• Install dependencies with uv sync --all-extras --dev.
• Run uv run invoke ci before opening a pull request.
• Publishing and release automation are covered in docs/publishing.md.

License

Durango is available under the MIT License. See LICENSE for details.