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Response Model Example - Fastapi Typing CST Test

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Response Model Example — Fastapi Code

Use Pydantic models to control response data.

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class UserOut(BaseModel):
	username: str

@app.get('/user/{user_id}', response_model=UserOut)
async def get_user(user_id: int):
	return { 'username': f'user{user_id}', 'password': 'secret' }

Fastapi Language Guide

FastAPI is a modern, high-performance Python web framework for building APIs with automatic interactive documentation. It emphasizes speed, type hints, and ease of development, leveraging Python 3.7+ features.

Primary Use Cases

  • ▸Building RESTful and JSON APIs
  • ▸High-performance asynchronous backend
  • ▸Microservices architecture
  • ▸Data validation and processing APIs
  • ▸Integrating with frontend frameworks or machine learning models

Notable Features

  • ▸Automatic validation with Pydantic models
  • ▸Asynchronous support with async/await
  • ▸Interactive API documentation with Swagger UI/ReDoc
  • ▸Dependency injection system for modular code
  • ▸High performance close to Node.js frameworks

Origin & Creator

FastAPI was created by Sebastián Ramírez in 2018 to provide a fast and developer-friendly Python API framework.

Industrial Note

FastAPI is ideal for projects requiring high-performance async APIs, automatic data validation, and rapid development cycles in Python.

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