project-conf 0.1.2

Dictionary-style configuration with path helpers and automatic environment variable handling

project-conf

Dictionary-style configuration with path helpers and automatic environment variable handling.

A simple, powerful configuration system that behaves like a dictionary but provides convenient path helpers and automatic environment variable integration. Perfect for Python projects that need clean, flexible configuration management.

✨ Features

• 🗂️ Dictionary Interface: Full dict compatibility - use config['key'], config.get(), config.update(), etc.
• 📁 Path Helpers: Automatic directory creation with config.data_path(), config.logs_path(), etc.
• 🌐 Environment Integration: Automatic override from environment variables and .env files
• 🎯 Type-Safe Conversion: Smart type conversion based on your defaults
• 🚀 Auto Project Detection: Finds your project root automatically
• 🔧 Runtime Modification: Change configuration at runtime, visible globally
• 📦 Zero Dependencies: Pure Python, no external dependencies

🚀 Quick Start

Installation

pip install project-conf

Basic Usage

from project_conf import setup, get_config

# 1. Define your configuration schema with defaults
setup({
    'database_url': 'sqlite:///app.db',
    'debug': False,
    'max_workers': 4,
    'api_key': '',
    'features': ['auth', 'cache']
})

# 2. Use anywhere in your application
config = get_config()

# Dictionary-style access
print(config['database_url'])  # sqlite:///app.db
config['debug'] = True         # Runtime modification
config.update({'timeout': 30}) # Bulk updates

# Path helpers (creates directories automatically)
db_path = config.data_path('app.db')      # /project/data/app.db
log_file = config.logs_path('server.log') # /project/logs/server.log
cache_dir = config.cache_path()           # /project/cache/

📖 Documentation

Environment Variable Override

Configuration values are automatically overridden by environment variables:

# config.py
setup({
    'database_url': 'sqlite:///dev.db',
    'debug': True,
    'max_workers': 2
})

# Environment variables (case-insensitive, converts types)
export DATABASE_URL="postgresql://localhost/prod"
export DEBUG=false
export MAX_WORKERS=8

config = get_config()
print(config['database_url'])  # postgresql://localhost/prod
print(config['debug'])         # False
print(config['max_workers'])   # 8

.env File Support

Create a .env file in your project root:

# .env
DATABASE_URL=postgresql://localhost/myapp
DEBUG=false
MAX_WORKERS=8
API_KEY=secret-key-123
FEATURES=["auth", "admin", "analytics"]

Values are automatically loaded and type-converted based on your defaults.

Path Helpers

Any method ending with _path becomes a path helper:

config = get_config()

# Directory paths (creates directories)
config.data_path()           # /project/data/
config.logs_path()           # /project/logs/
config.uploads_path()        # /project/uploads/
config.my_custom_path()      # /project/my_custom/

# File paths (creates parent directories)
config.data_path('app.db')           # /project/data/app.db
config.logs_path('server.log')       # /project/logs/server.log
config.uploads_path('image.jpg')     # /project/uploads/image.jpg
config.my_custom_path('file.txt')    # /project/my_custom/file.txt

Type Conversion

Environment variables are automatically converted to match your default types:

setup({
    'debug': False,        # bool: 'true'/'false', '1'/'0', 'yes'/'no'
    'workers': 4,          # int: '8' -> 8
    'timeout': 30.0,       # float: '45.5' -> 45.5
    'name': 'app',         # str: kept as string
    'features': ['auth']   # list: '["auth", "admin"]' -> ['auth', 'admin']
})

Project Root Detection

The project root is automatically detected by looking for:

1. .git directory (most reliable)
2. pyproject.toml
3. setup.py
4. requirements.txt
5. poetry.lock
6. Pipfile
7. package.json
8. .env

You can also override with PROJECT_ROOT environment variable or pass it directly:

setup(defaults, project_root='/custom/path')

🎯 Real-World Example

Clean, Simple Pattern - Handle everything in your config module:

# myproject/config.py - ONLY file that deals with project_conf
from project_conf import setup, get_config

# Single source of truth for configuration
DEFAULTS = {
    'database_url': 'sqlite:///myproject.db',
    'redis_url': 'redis://localhost:6379',
    'debug': False,
    'max_workers': 4,
    'timeout': 30.0,
    'api_key': '',
    'log_level': 'INFO',
    'features': {
        'auth': True,
        'admin': False,
        'analytics': True
    }
}

# Initialize configuration
setup(DEFAULTS)

# Export clean interface - no need for project_conf anywhere else!
config = get_config()

# myproject/database.py - Clean imports, no project_conf needed!
from .config import config

def create_connection():
    # Use as dictionary
    db_url = config['database_url']
    timeout = config.get('timeout', 30)

    # Use path helper for file location
    if 'sqlite' in db_url:
        db_file = config.data_path('myproject.db')
        return f"sqlite://{db_file}"

    return db_url

# myproject/api.py - Clean imports, no project_conf needed!
from .config import config

def setup_logging():
    # Runtime configuration changes
    if not config.get('api_key'):
        config['api_key'] = 'development-key'

    # Path helpers for log files
    log_file = config.logs_path('api.log')

    return setup_logger(
        level=config['log_level'],
        file=log_file
    )

That's it! No complex imports, no worrying about initialization order. Your config.py handles everything, and the rest of your code just imports from there.

✨ Why This Pattern Works

• 🎯 Single Responsibility: Only config.py deals with project_conf
• 🧹 Clean Imports: Rest of your code just imports from your own config module
• 🔄 No Initialization Worries: Configuration is ready when you import it
• 📦 Encapsulation: project_conf is an implementation detail, hidden from your app
• 🚀 Simple Testing: Mock myproject.config.config in tests, not the underlying library

🧪 Testing

Run the test suite:

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run with coverage
pytest --cov=project_conf --cov-report=html

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🔗 Links

• PyPI Package
• Source Code
• Issue Tracker
• Changelog