superconf 0.1.4

Super config for python

SuperConf

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This project is in Beta.

A powerful and flexible configuration management library for Python. SuperConf provides a clean, type-safe, and intuitive way to handle configuration from multiple sources including environment variables, configuration files, and dictionaries.

Inspired from Cafram, forked from ClassyConf.

Features

• 🔒 Type-safe configuration with built-in validation
• 🔄 Multiple configuration sources (environment variables, files, dictionaries)
• 📦 Nested configuration support
• 🎯 Default values and custom casting
• 🚀 Easy to use and extend
• 🔍 Strict type checking mode
• 📝 Comprehensive field types (Boolean, Integer, String, List, Dict, etc.)
• 🎨 Support for custom field types

Quickstart

Installation

Install using pip:

pip install superconf

Or install from source:

git clone https://github.com/mrjk/python-superconf.git
cd python-superconf
pip install -e .

Basic Usage

Here's a simple example of how to use SuperConf:

from superconf.configuration import Configuration
from superconf.fields import FieldString, FieldInt, FieldBool, FieldList

class AppConfig(Configuration):

    class Meta:
        loaders = [Environment()]  # Load from environment variables
    
    debug = FieldBool(default=False, help="Enable debug mode")
    port = FieldInt(default=8080, help="Server port")
    app_name = FieldString(default="myapp", help="Application name")
    plugins = FieldList(default=[], help="Enabled plugins")

# Create and use the configuration
config = AppConfig()
print(config.debug)  # False
print(config.port)   # 8080

# Use environment variables to override defaults
# export APP_PORT=9000
# export APP_DEBUG=true

Overview

Requirements

• Python 3.9 or higher
• Dependencies:
  • pyaml >= 24.12.1

FAQ

Q: How is SuperConf different from other configuration libraries?
A: SuperConf combines the best features of existing libraries with strong type safety, nested configurations, and a clean API.

Q: Can I use multiple configuration sources?
A: Yes, SuperConf supports multiple loaders that can be prioritized in order.

Q: Is it possible to extend SuperConf with custom field types?
A: Yes, you can create custom field types by extending the Field class.

Known Issues

• String parsing for dictionary fields is not implemented yet
• Cache settings need refinement
• Some features are marked as WIP (Work in Progress)

Development

Setup Development Environment

1. Clone the repository:

git clone https://github.com/mrjk/python-superconf.git
cd python-superconf

2. Install development dependencies:

poetry install

Development Commands

SuperConf uses Taskfile for development tasks:

• Run tests: task test
• Run linting: task test_lint
• Fix linting issues: task fix_lint
• Generate documentation: task gen_doc_class_graph

Running Tests

task test        # Run all tests
task test_pytest # Run pytest suite
task test_recap  # View test coverage report

Project Information

License

This project is licensed under the GPLv3 License.

Author

• mrjk [e-mail]

Support

For support, please:

1. Check the documentation
2. Open an issue on GitHub

Related Projects

• ClassyConf
• python-decouple
• dynaconf

Roadmap

• Implement string parsing for dictionary fields
• Improve caching mechanism
• Add more configuration sources
• Create comprehensive documentation site
• Add more examples and use cases
• Implement configuration validation hooks