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FastAPI是流行的Python web框架,适用于开发高吞吐量API和微服务(直接支持异步编程)
FastAPI的优势之一:通过提供高级抽象和自动数据模型转换,简化请求数据的处理(用户不需要手动处理原始请求数据),并能根据路由和 Pydantic 模型自动生成 OpenAPI 接口文档。
import uuid import uvicorn from typing import Any, Union, Optional from typing_extensions import Literal from fastapi import Body, FastAPI from pydantic import ( BaseModel, Field, UUID4 ) app = FastAPI() class UserIn(BaseModel): channel: Literal[0, 1] = Field(0, title="渠道") username: str = Field(..., title="用户名") password: str = Field(..., title="用户密码", description="长度6-8位") email: str = Field(..., title="用户邮箱地址") full_name: str = Field(None, title="用户全名") request_id: Optional[UUID4] class UserOut(BaseModel): username: str = Field(..., title="用户名") email: str = Field(..., title="用户邮箱地址") full_name: str = Field(None, title="用户全名") request_id: Optional[UUID4] # FastAPI will take care of filtering out all the data that is not declared in the output model (using Pydantic). # 因此,FastAPI将负责过滤掉输出模型中未声明的所有数据(使用Pydantic)。 @app.post("/user/", response_model=UserOut) async def create_user( user: UserIn = Body( examples={ "example1": { "summary": "A short summary or description of the example", "value": { # example data here "channel": 0, "username": "Foo", "password": "33759", "email": "chencare@163.com", "full_name": "xiaotao" } } }) ) -> UserOut: user.request_id = uuid.uuid4() print(user.request_id) return user if __name__ == '__main__': uvicorn.run(app=app, access_log=True, port=9988)
运行后,会提示Uvicorn running on http://127.0.0.1:9988 (Press CTRL+C to quit)
在浏览器输入http://127.0.0.1:9988/redoc
( ReDoc),http://127.0.0.1:9988/docs
(Swagger UI )即可查看
ReDoc 页面如下:
ReDoc vs. Swagger UI
ReDoc更美观,Swagger UI更注重交互(用户直接从界面中发送请求,查看响应,这对于测试和调试 API 非常有用。)
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