FastAPI

FastAPI框架，高性能，易学，快速编码，可投入生产 FastAPI是一种现代，快速（高性能）的Web框架，用于基于标准Python类型提示使用Python 3.6+构建API。

文档 ：https : //fastapi.tiangolo测试数据 源代码 ：https : //github测试数据/tiangolo/fastapi

Hello World

集各大框架于一身，站在巨人肩膀上的FastAPI环境搭建起来还是比较简单的。 短短几行代码就可以完成接口开发，与接口文档的开发。

 from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: str = None):
    return {"item_id": item_id, "q": q}

if __name__ == '__main__':
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=8000, workers=4)

 

API

http://127.0.0.1:8000/

交互式API文档

http://127.0.0.1:8000/docs

Windows可能的报错

报错提示1

 Traceback (most recent call last):
  File "D:/coding/vn-var-test/test/main.py", line 19, in <module>
    uvicorn.run(app, host='127.0.0.1', port=8000, workers=3)
  File "D:\Python\Python37\lib\site-packages\uvicorn\main.py", line 272, in run
    socket = config.bind_socket()
  File "D:\Python\Python37\lib\site-packages\uvicorn\config.py", line 216, in bind_socket
    sock.bind((self.host, self.port))
OSError: [WinError 10013] 以一种访问权限不允许的方式做了一个访问套接字的尝试。
 

报错提示2

由于添加了异常值处理中间件，报错信息看起来是序列化的问题，和报错提示1的问题一样

 Traceback (most recent call last):
  File "D:/coding/ivc/app.py", line 53, in <module>
    uvicorn.run(app, host="127.0.0.1", port=8000, workers=4)
  File "D:\Python\Python37\lib\site-packages\uvicorn\main.py", line 274, in run
    supervisor.run(server.run, sockets=[socket])
  File "D:\Python\Python37\lib\site-packages\uvicorn\supervisors\multiprocess.py", line 33, in run
    process.start()
  File "D:\Python\Python37\lib\multiprocessing\process.py", line 112, in start
    self._popen = self._Popen(self)
  File "D:\Python\Python37\lib\multiprocessing\context.py", line 223, in _Popen
    return _default_context.get_context().Process._Popen(process_obj)
  File "D:\Python\Python37\lib\multiprocessing\context.py", line 322, in _Popen
    return Popen(process_obj)
  File "D:\Python\Python37\lib\multiprocessing\popen_spawn_win32.py", line 65, in __init__
    reduction.dump(process_obj, to_child)
  File "D:\Python\Python37\lib\multiprocessing\reduction.py", line 60, in dump
    ForkingPickler(file, protocol).dump(obj)
AttributeError: Can't pickle local object 'FastAPI.setup.<locals>.openapi'
 

解决方式

     uvicorn.run(app, host="0.0.0.0", port=8000, workers=4)
    # 替换为
    uvicorn.run(app, host="0.0.0.0", port=8000)
 

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