py-spring-core 0.0.2.dev2

Default template for PDM package

PySpring Framework

PySpring is a Python web framework inspired by Spring Boot. It combines FastAPI for the web layer, SQLModel for ORM, 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

• Model Import and Table Creation: PySpring dynamically imports model modules and creates SQLModel tables based on the imported models. It supports SQLAlchemy for database operations.

• 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.

Getting Started

To get started with PySpring, follow these steps:

1. Install the PySpring framework by running:

pip3 install git+https://github.com/PythonSpring/pyspring-core.git

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

• Implement your application properties, components, controllers, using PySpring conventions inside declared source code folder (whcih can be modified the key app_src_target_dir inside app-config.json), this controls what folder will be scanned by the framework.

• Instantiate a PySpringApplication object in your main script, passing the path to your application configuration file.

• Optionally, define and enable any framework modules you want to use.

• Run the application by calling the run() method on the PySpringApplication object, as shown in the example code below:

from py_spring import PySpringApplication

def main():
    app = PySpringApplication()
    app.run()

if __name__ == "__main__":
    main()

• For example project, please refer to this github repo.

Contributing

Contributions to PySpring are welcome! If you find any issues or have suggestions for improvements, please submit a pull request or open an issue on GitHub.