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py-spring-core

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.

0.0.25
pipPyPI
Maintainers
1

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

  • Install the PySpring framework:
pip install py-spring-core
  • Create a new Python project and navigate to its directory

  • 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
  • Create your main application script:

from py_spring_core import PySpringApplication

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

if __name__ == "__main__":
    main()
  • Run your application:
python main.py

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

Development Setup

  • Clone the repository:
git clone https://github.com/NFUChen/PySpring.git
cd PySpring
  • Install development dependencies:
pip install -e ".[dev]"
  • 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:

  • Fork the repository
  • Create a feature branch
  • Commit your changes
  • Push to the branch
  • Create a Pull Request

License

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

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