#
Install fastapi and ASGI server (e.g. uvicorn):
Make sure you are using Python 3.6.7 If
pip and
python give you a python 2 version, you may have to use
pip3
python3
. Also, check out my article on getting started with python.pip install fastapi uvicorn
file:
from fastapi import FastAPI app = FastAPI() @app.get("/") def home(): return {"Hello": "World"}
then To run for development, you can run
uvicorn main:app --reload
That’s all a simple server does! Now you can check //localhost:8000/ to see the "Home Page". And, as you can see, the JSON response "just works"! You can also get Swagger UI for free at //localhost:8000/docs.
As mentioned before, it is easy to validate the data (and generate Swagger documentation for the accepted data formats). Just add the
import from fastapi and use it to force validation: <div class="code" style="position:relative; padding:0px; margin:0px;"><pre class="brush:php;toolbar:false">from fastapi import FastAPI, Query
@app.get('/user')
async def user(
*,
user_id: int = Query(..., title="The ID of the user to get", gt=0)
):
return { 'user_id': user_id }</pre><div class="contentsignin">Copy after login</div></div>
The first parameter ...
is the default value if the user does not provide a value This default value is provided. If set to None
, there is no default value and the parameter is optional. In order that there is no default value and the parameter is mandatory, use Ellipsis, or
Query. It is also possible to combine both
Post routes
POST route, you can just define the input
@app.post('/user/update') async def update_user( *, user_id: int, really_update: int = Query(...) ): pass
in this case, you can see that
user_id is only defined as an integer without
Query or
Path; which means it will be in the POST request body. If You accept more complex data structures, such as JSON data, you should look into request models.
Request and Response Models You can use Pydantic models to record and declare detailed Request and response models. Not only does this allow you to have automatic OpenAPI documentation for all your models, but it also validates the request and response models to ensure that any POST data entered is correct and that the data returned conforms to the model.
from pydantic import BaseModel class User(BaseModel): id:: int name: str email: str
async def update_user(*, user: User): pass
@app.get('/user') async def user( *, user_id: int = Query(..., title="The ID of the user to get", gt=0), response_model=User ): my_user = get_user(user_id) return my_user
Routing and decomposing a larger API
from fastapi import APIRouter from .user import router as user_router router = APIRouter() router.include_router( user_router, prefix='/user', tags=['users'], )
from fastapi import APIRouter router = APIRouter() @router.get('/') async def user( *, user_id: int = Query(..., title="The ID of the user to get", gt=0), response_model=User ): my_user = get_user(user_id) return my_user
from fastapi import FastAPI from app.routers import v1 app = FastAPI() app.include_router( v1.router, prefix="/api/v1" )
FROM tiangolo/uvicorn-gunicorn-fastapi:python3.7 COPY ./app /app
是否想通过自动重新加载进行 Dockerize 开发?这是我在撰写文件中使用的秘方:
version: "3" services: test-api: build: .. entrypoint: '/start-reload.sh' ports: - 8080:80 volumes: - ./:/app
这会将当前目录挂载为app
并将在任何更改时自动重新加载。您可能还想将app / app
用于更大的应用程序。
所有这些信息都来自 Fastapi网站,该文档具有出色的文档,我鼓励您阅读。此外,作者在 Gitter 上非常活跃并乐于助人!
就是这样-我希望本指南对您有所帮助,并且您会像我一样喜欢使用 Fastapi。
推荐教程:Python教程
The above is the detailed content of Python quick use of REST API. For more information, please follow other related articles on the PHP Chinese website!