pcf-config 1.1.9

A simple YAML configuration management library

PCF Config

A simple and flexible YAML configuration management library for Python applications. PCF Config provides an easy way to manage configuration files with support for nested keys, default values, and read/write operations.

Features

• 🔧 Simple API: Easy-to-use methods for getting and setting configuration values
• 🏗️ Nested Keys: Support for dot-notation nested key access (e.g., database.host)
• 🛡️ Default Values: Graceful handling of missing keys with default values
• 🔄 Hot Reload: Reload configuration files at runtime
• ✏️ Read/Write: Set configuration values and save to files
• 🪶 Lightweight: Minimal dependencies (only PyYAML required)
• 🎯 Type Hints: Full type hint support for better IDE experience
• 🚀 No Singleton: Multiple instances supported for flexibility

Installation

Install from PyPI:

pip install pcf-config

Quick Start

1. Create a configuration file (config.yaml):

database:
  host: localhost
  port: 5432
  name: myapp

api:
  host: 0.0.0.0
  port: 8000
  debug: true

2. Use in your Python code:

from pcf_config import Config

# Create config instance with file path
config = Config("config.yaml")

# Get configuration values
db_host = config.get("database.host")  # Returns: "localhost"
db_port = config.get("database.port")  # Returns: 5432

# Get with default values
redis_host = config.get("redis.host", "localhost")
timeout = config.get("api.timeout", 30)

# Set new values
config.set("database.timeout", 30)
config.set("api.debug", True)

# Save changes to file
config.save()

print(f"Database: {db_host}:{db_port}")
print(f"Redis: {redis_host}")

API Reference

Config Class

The main class for configuration management:

from pcf_config import Config

# Create config instance with file path
config = Config("config.yaml")

# Get configuration values
value = config.get("key")
value_with_default = config.get("key", "default")

# Set configuration values
config.set("new.key", "value")

# Save changes to file
config.save()

# Reload from file
config.reload()

# Check if key exists
if config.has_key("key"):
    print("Key exists")

Methods

__init__(config_file: str)

Initialize Config instance with configuration file path.

Parameters:

• config_file (str): Path to the YAML configuration file

get(key: str, default: Any = ...) -> Any

Get configuration value by key. Supports nested keys using dot notation.

Parameters:

• key (str): Configuration key, supports dot notation for nested keys
• default (Any): Default value if key doesn't exist

Returns:

• Any: The configuration value or default

Raises:

• KeyError: If the key doesn't exist and no default is provided

set(key: str, value: Any) -> None

Set configuration value. Creates nested structure if needed.

Parameters:

• key (str): Configuration key, supports dot notation for nested keys
• value (Any): Value to set

save() -> None

Save current configuration to the file.

reload() -> None

Reload the configuration file from disk.

has_key(key: str) -> bool

Check if a configuration key exists.

Parameters:

• key (str): Configuration key to check

Returns:

• bool: True if key exists, False otherwise

Configuration File Location

PCF Config requires you to specify the configuration file path when creating a Config instance:

config = Config("path/to/your/config.yaml")

Examples

Basic Usage

from pcf_config import Config

# Create config instance
config = Config("config.yaml")

# config.yaml:
# app:
#   name: "My App"
#   version: "1.0.0"
#   debug: true
# database:
#   host: "localhost"
#   port: 5432

app_name = config.get("app.name")           # "My App"
app_version = config.get("app.version")     # "1.0.0"
db_host = config.get("database.host")       # "localhost"

# Using defaults for missing keys
cache_ttl = config.get("cache.ttl", 3600)  # 3600 (default)
debug_mode = config.get("app.debug", False)  # True (from config)

Error Handling

from pcf_config import Config

config = Config("config.yaml")

try:
    api_key = config.get("api.secret_key")
except KeyError:
    print("API key not configured!")
    api_key = None

# Or use default values to avoid exceptions
api_key = config.get("api.secret_key", None)
if not api_key:
    print("Warning: API key not configured!")

Hot Reload

from pcf_config import Config

config = Config("config.yaml")

# Initial load
print(config.get("app.name"))

# Modify config.yaml file externally...

# Reload configuration
config.reload()
print(config.get("app.name"))  # Updated value

Read/Write Operations

from pcf_config import Config

config = Config("config.yaml")

# Read existing values
db_host = config.get("database.host")

# Set new values
config.set("database.timeout", 30)
config.set("api.rate_limit", 1000)

# Save changes to file
config.save()

# Verify changes
print(config.get("database.timeout"))  # 30
print(config.get("api.rate_limit"))    # 1000

Complex Configuration

# config.yaml
app:
  name: "My Application"
  version: "2.1.0"
  
database:
  primary:
    host: "db1.example.com"
    port: 5432
    credentials:
      username: "admin"
      password: "secret"
  
  replica:
    host: "db2.example.com"
    port: 5432
    
services:
  - name: "auth"
    url: "https://auth.example.com"
  - name: "payment"
    url: "https://payment.example.com"

from pcf_config import Config

config = Config("config.yaml")

# Access nested configurations
primary_db = config.get("database.primary.host")
username = config.get("database.primary.credentials.username")

# Access array elements
services = config.get("services")
auth_service = services[0]["url"]  # "https://auth.example.com"

Development

Setting up development environment

# Clone the repository
git clone https://github.com/yourusername/pcf-config.git
cd pcf-config

# Install in development mode
pip install -e .[dev]

# Run tests
pytest

# Run linting
black .
flake8
mypy pcf_config

Running Tests

# Run all tests
pytest

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

# Run specific test file
pytest tests/test_config.py

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

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.

Changelog

v1.1.0

• BREAKING: Removed singleton pattern - Config now requires explicit file path
• BREAKING: Removed convenience functions get_config and get_config_with_default
• NEW: Added set() method for modifying configuration values
• NEW: Added save() method for persisting changes to file
• IMPROVED: get() method now supports default values with ... sentinel
• IMPROVED: reload() method no longer requires file path parameter
• REMOVED: loguru dependency - now uses standard logging only
• REMOVED: All Chinese characters from source code
• IMPROVED: Better error handling and type hints

v1.0.0

• Initial release
• Basic configuration loading from YAML files
• Support for nested keys with dot notation
• Default value support
• Hot reload functionality
• Singleton pattern implementation
• Optional loguru integration

Support

If you encounter any issues or have questions, please open an issue on GitHub.