py-spring-core 0.3.5

PySpring is a Python web framework inspired by Spring Boot, combining FastAPI, and Pydantic for building scalable web applications with auto dependency injection, configuration management, and a web server.

PySpring Framework

PySpring is a Python web framework inspired by Spring Boot. It combines FastAPI for the web layer, and Pydantic for data validation. PySpring provides a structured approach to building scalable web applications with auto dependency injection, auto configuration management and a web server for hosting your application.

Key Features

• Application Initialization: PySpringApplication class serves as the main entry point for the PySpring application. It initializes the application from a configuration file, scans the application source directory for Python files, and groups them into class files and model files.

• Application Context Management: PySpring manages the application context and dependency injection. It registers application entities such as components, controllers, bean collections, and properties. It also initializes the application context and injects dependencies.

• REST Controllers: PySpring supports RESTful API development using the RestController class. It allows you to define routes, handle HTTP requests, and register middlewares easily.

• Component-based Architecture: PySpring encourages a component-based architecture, where components are reusable and modular building blocks of the application. Components can have their own lifecycle and can be registered and managed by the application context.

• Properties Management: Properties classes provide a convenient way to manage application-specific configurations. PySpring supports loading properties from a properties file and injecting them into components.

• Framework Modules: PySpring allows the integration of additional framework modules to extend the functionality of the application. Modules can provide additional routes, middlewares, or any other custom functionality required by the application.

• Builtin FastAPI Integration: PySpring integrates with FastAPI, a modern, fast (high-performance), web framework for building APIs with Python. It leverages FastAPI's features for routing, request handling, and server configuration.

Project Structure

PySpring/
├── src/                    # Source code directory
├── tests/                  # Test files
├── logs/                   # Application logs
├── py_spring_core/         # Core framework package
├── app-config.json         # Application configuration
├── application-properties.json  # Application properties
├── main.py                 # Application entry point
├── pyproject.toml          # Project metadata and dependencies
└── README.md              # Project documentation

Getting Started

Prerequisites

• Python 3.10 or higher
• pip (Python package installer)

Installation

1. Install the PySpring framework:

pip install py-spring-core

2. Create a new Python project and navigate to its directory

3. Set up your application:

   • Implement your application properties, components, and controllers using PySpring conventions inside the declared source code folder (which can be modified via the app_src_target_dir key in app-config.json)
   • Create an app-config.json file for your application configuration
   • Create an application-properties.json file for your application properties

4. Create your main application script:

from py_spring_core import PySpringApplication

def main():
    app = PySpringApplication("./app-config.json")
    app.run()

if __name__ == "__main__":
    main()

5. Run your application:

python main.py

For a complete example project, please refer to the PySpring Example Project.

Development Setup

1. Clone the repository:

git clone https://github.com/NFUChen/PySpring.git
cd PySpring

2. Install development dependencies:

pip install -e ".[dev]"

3. Run tests:

pytest

Dependencies

PySpring relies on several key dependencies:

• FastAPI (0.112.0)
• Pydantic (2.8.2)
• Uvicorn (0.30.5)
• Loguru (0.7.2)
• And other supporting packages

For a complete list of dependencies, see pyproject.toml.

Contributing

Contributions to PySpring are welcome! If you find any issues or have suggestions for improvements, please:

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

License

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