fastopenapi 0.7.0

FastOpenAPI is a library for generating and integrating OpenAPI schemas using Pydantic and various frameworks.

This project was inspired by FastAPI and aims to provide a similar developer-friendly experience.

📦 Installation

Install only FastOpenAPI:

pip install fastopenapi

Install FastOpenAPI with a specific framework:

pip install fastopenapi[aiohttp]

pip install fastopenapi[falcon]

pip install fastopenapi[flask]

pip install fastopenapi[quart]

pip install fastopenapi[sanic]

pip install fastopenapi[starlette]

pip install fastopenapi[tornado]

🛠️ Quick Start

Step 1. Create an application

• Create the main.py file
• Copy the code from an example
• For some examples uvicorn is required (pip install uvicorn)

Examples:

• 

  Click to expand the Falcon Example

  from aiohttp import web
  from pydantic import BaseModel
  
  from fastopenapi.routers import AioHttpRouter
  
  app = web.Application()
  router = AioHttpRouter(app=app)
  
  
  class HelloResponse(BaseModel):
      message: str
  
  
  @router.get("/hello", tags=["Hello"], status_code=200, response_model=HelloResponse)
  async def hello(name: str):
      """Say hello from aiohttp"""
      return HelloResponse(message=f"Hello, {name}! It's aiohttp!")
  
  
  if __name__ == "__main__":
      web.run_app(app, host="127.0.0.1", port=8000)
  

• 

  Click to expand the Falcon Example

  import falcon.asgi
  import uvicorn
  from pydantic import BaseModel
  
  from fastopenapi.routers import FalconRouter
  
  app = falcon.asgi.App()
  router = FalconRouter(app=app)
  
  
  class HelloResponse(BaseModel):
      message: str
  
  
  @router.get("/hello", tags=["Hello"], status_code=200, response_model=HelloResponse)
  async def hello(name: str):
      """Say hello from Falcon"""
      return HelloResponse(message=f"Hello, {name}! It's Falcon!")
  
  
  if __name__ == "__main__":
      uvicorn.run(app, host="127.0.0.1", port=8000)
  

• 

  Click to expand the Flask Example

  from flask import Flask
  from pydantic import BaseModel
  
  from fastopenapi.routers import FlaskRouter
  
  app = Flask(__name__)
  router = FlaskRouter(app=app)
  
  
  class HelloResponse(BaseModel):
      message: str
  
  
  @router.get("/hello", tags=["Hello"], status_code=200, response_model=HelloResponse)
  def hello(name: str):
      """Say hello from Flask"""
      return HelloResponse(message=f"Hello, {name}! It's Flask!")
  
  
  if __name__ == "__main__":
      app.run(port=8000)
  

• 

  Click to expand the Quart Example

  from pydantic import BaseModel
  from quart import Quart
  
  from fastopenapi.routers import QuartRouter
  
  app = Quart(__name__)
  router = QuartRouter(app=app)
  
  
  class HelloResponse(BaseModel):
      message: str
  
  
  @router.get("/hello", tags=["Hello"], status_code=200, response_model=HelloResponse)
  async def hello(name: str):
      """Say hello from Quart"""
      return HelloResponse(message=f"Hello, {name}! It's Quart!")
  
  
  if __name__ == "__main__":
      app.run(port=8000)
  

• 

  Click to expand the Sanic Example

  from pydantic import BaseModel
  from sanic import Sanic
  
  from fastopenapi.routers import SanicRouter
  
  app = Sanic("MySanicApp")
  router = SanicRouter(app=app)
  
  
  class HelloResponse(BaseModel):
      message: str
  
  
  @router.get("/hello", tags=["Hello"], status_code=200, response_model=HelloResponse)
  async def hello(name: str):
      """Say hello from Sanic"""
      return HelloResponse(message=f"Hello, {name}! It's Sanic!")
  
  
  if __name__ == "__main__":
      app.run(host="0.0.0.0", port=8000)
  

• 

  Click to expand the Starlette Example

  import uvicorn
  from pydantic import BaseModel
  from starlette.applications import Starlette
  
  from fastopenapi.routers import StarletteRouter
  
  app = Starlette()
  router = StarletteRouter(app=app)
  
  
  class HelloResponse(BaseModel):
      message: str
  
  
  @router.get("/hello", tags=["Hello"], status_code=200, response_model=HelloResponse)
  async def hello(name: str):
      """Say hello from Starlette"""
      return HelloResponse(message=f"Hello, {name}! It's Starlette!")
  
  if __name__ == "__main__":
      uvicorn.run(app, host="127.0.0.1", port=8000)
  

• 

  Click to expand the Tornado Example

  import asyncio
  
  from pydantic import BaseModel
  from tornado.web import Application
  
  from fastopenapi.routers.tornado import TornadoRouter
  
  app = Application()
  
  router = TornadoRouter(app=app)
  
  
  class HelloResponse(BaseModel):
      message: str
  
  
  @router.get("/hello", tags=["Hello"], status_code=200, response_model=HelloResponse)
  def hello(name: str):
      """Say hello from Tornado"""
      return HelloResponse(message=f"Hello, {name}! It's Tornado!")
  
  
  async def main():
      app.listen(8000)
      await asyncio.Event().wait()
  
  
  if __name__ == "__main__":
      asyncio.run(main())
  

Step 2. Run the server

Launch the application:

python main.py

Once launched, the documentation will be available at:

Swagger UI:

http://127.0.0.1:8000/docs

ReDoc UI:

http://127.0.0.1:8000/redoc

⚙️ Features

• Generate OpenAPI schemas with Pydantic v2.
• Data validation using Pydantic models.
• Supports multiple frameworks: AIOHTTP, Falcon, Flask, Quart, Sanic, Starlette, Tornado.
• Proxy routing provides FastAPI-style routing

📖 Documentation

Explore the Docs for an overview of FastOpenAPI, its core components, and usage guidelines. The documentation is continuously updated and improved.

📂 Advanced Examples

Examples of integration and detailed usage for each framework are available in the examples directory.

📊 Quick & Dirty Benchmarks

Fast but not perfect benchmarks. Check the benchmarks directory for details.

✅ Development Recommendations

• Use Pydantic models for strict typing and data validation.
• Follow the project structure similar to provided examples for easy scalability.
• Regularly update dependencies and monitor library updates for new features.

🛠️ Contributing

If you have suggestions or find a bug, please open an issue or create a pull request on GitHub.

📄 License

This project is licensed under the terms of the MIT license.