app = FastAPI()@app.get('/{id}')asyncdeffunc1(id:int):# id就是路径参数,设置了类型校验pass@app.get('/test/{id}')asyncdeffunc2(id:int=Path(...,ge=1)):# Path是路径参数的类,可以做验证,即对路径参数的校验passPath(# noqa: N802default:Any,# None为非必传参数,...为必传,指定值...
response.headers["X-Process-Time"] =f'{str(process_time)}ms'returnresponsereturnapp 6、然后在main.py调用 create_app 方法,初始化 fastapi 框架。 fromapiimportcreat_appimportuvicorn app = creat_app()if__name__ =="__main__": uvicorn.run(app='main:app', host="0.0.0.0", log_config='....
_router(test_router,tags=['test'],responses={404:{'description':'Not Found'}},prefix="/api/test",)defcreate_app():app=FastAPI()app.mount("/static",StaticFiles(directory=os.path.join(BASE_DIR,"statics")),name="static",)origins=["http://localhost","http://localhost:19988",]app...
app = FastAPI() @app.put("/items/{item_id}") async def create_item(item_id: int, item: Item, q: str = None): result = {"item_id": item_id, **item.dict()} if q: result.update({"q": q}) return result put 方法用于更新,传入参数后成功返回一个字典。 关于模板引擎 FastAPI ...
fromtypingimportOptional fromfastapiimportFastAPI frompydanticimportBaseModel classItem(BaseModel): name:str description:Optional[str]=None price:float tax:Optional[float]=None app=FastAPI() @app.post("/items/") asyncdefcreate_item(item:Item): returnitem ...
1. create database.py from sqlalchemyimport create_engine from sqlalchemy.ext.declarativeimport declarative_base from sqlalchemy.ormimport sessionmaker # SQLALCHEMY_DATABASE_URL = "sqlite:///./sql_app.db" SQLALCHEMY_DATABASE_URL ="mysql://root:123456@localhost:3306/sqlalchemy_test" ...
app=FastAPI if__name__ =='__main__': uvicorn.run(app) 服务器运行 添加接口 main importuvicorn fromfastapiimportFastAPI app=FastAPI # 添加首页 @app.get("/") defindex: return"This is Home Page." if__name__ =='__main__':
uvicorn main:app --reload 1. FastAPI 推荐使用 uvicorn 来运行服务,Uvicorn 是基于uvloop 和 httptools 构建的闪电般快速的 ASGI 服务器。 uvicorn main:app 指的是: main:文件main.py app: 创建的启用对象 --reload: 热启动,方便代码的开发 启动界面如下: ...
使用以下代码创建fastapi app（即对外restful api服务）app.py @auto_deploy_api.post("/create_resource")async def create_res(VERABLES_DICT: Item, backgroundTasks: BackgroundTasks):VERABLES = VERABLES_DICT.VERABLES try:# 启动异步任务，因为创建资源耗时较长，http请求不应也无法一直保持 backgroundTasks...
将上面定义的模型添加到你的路径操作中,就和定义Path和Query参数一样的方式:from fastapi import FastAPI from pydantic import BaseModel class Item(BaseModel): name: str description: str = None price: float tax: float = None app = FastAPI() @app.post("/items/") async def create_item(item: It...