Fir*_*his 6 python starlette fastapi
我尝试为 FastAPI 编写一个简单的中间件来查看响应主体。
在这个例子中,我只记录正文内容:
app = FastAPI()
@app.middleware("http")
async def log_request(request, call_next):
logger.info(f'{request.method} {request.url}')
response = await call_next(request)
logger.info(f'Status code: {response.status_code}')
async for line in response.body_iterator:
logger.info(f' {line}')
return response
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但是看起来我以这种方式“消耗”了身体,导致了这个异常:
...
File ".../python3.7/site-packages/starlette/middleware/base.py", line 26, in __call__
await response(scope, receive, send)
File ".../python3.7/site-packages/starlette/responses.py", line 201, in __call__
await send({"type": "http.response.body", "body": b"", "more_body": False})
File ".../python3.7/site-packages/starlette/middleware/errors.py", line 156, in _send
await send(message)
File ".../python3.7/site-packages/uvicorn/protocols/http/httptools_impl.py", line 515, in send
raise RuntimeError("Response content shorter than Content-Length")
RuntimeError: Response content shorter than Content-Length
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尝试查看响应对象时,我看不到任何其他方式来读取其内容。正确的做法是什么?
我对 FastAPI 中间件也有类似的需求,虽然不理想,但我们最终得到的结果是:
app = FastAPI()
@app.middleware("http")
async def log_request(request, call_next):
logger.info(f'{request.method} {request.url}')
response = await call_next(request)
logger.info(f'Status code: {response.status_code}')
body = b""
async for chunk in response.body_iterator:
body += chunk
# do something with body ...
return Response(
content=body,
status_code=response.status_code,
headers=dict(response.headers),
media_type=response.media_type
)
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请注意,这样的实现在响应流式传输不适合您的服务器 RAM 的主体时存在问题(想象一下 100GB 的响应)。
根据您的应用程序的功能,您将决定它是否有问题。
在某些端点产生大量响应的情况下,您可能希望避免使用中间件,而是实现自定义 ApiRoute。这个自定义的 ApiRoute 在使用 body 时会有同样的问题,但你可以将它的使用限制在特定的端点上。
在https://fastapi.tiangolo.com/advanced/custom-request-and-route/了解更多信息
小智 5
我知道这是一个相对较旧的帖子,但我最近遇到了这个问题并想出了一个解决方案:
中间件代码
from starlette.middleware.base import BaseHTTPMiddleware
from starlette.requests import Request
import json
from .async_iterator_wrapper import async_iterator_wrapper as aiwrap
class some_middleware(BaseHTTPMiddleware):
async def dispatch(self, request:Request, call_next:RequestResponseEndpoint):
# --------------------------
# DO WHATEVER YOU TO DO HERE
#---------------------------
response = await call_next(request)
# Consuming FastAPI response and grabbing body here
resp_body = [section async for section in response.__dict__['body_iterator']]
# Repairing FastAPI response
response.__setattr__('body_iterator', aiwrap(resp_body)
# Formatting response body for logging
try:
resp_body = json.loads(resp_body[0].decode())
except:
resp_body = str(resp_body)
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async_iterator_wrapper代码 从 类型错误在Python 3异步for循环
class async_iterator_wrapper:
def __init__(self, obj):
self._it = iter(obj)
def __aiter__(self):
return self
async def __anext__(self):
try:
value = next(self._it)
except StopIteration:
raise StopAsyncIteration
return value
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我真的希望这可以帮助某人!我发现这对记录非常有帮助。
非常感谢@Eddified 的 aiwrap 课程
小智 5
这可以通过BackgroundTasks轻松完成(https://fastapi.tiangolo.com/tutorial/background-tasks/)
非阻塞,代码在响应发送到客户端后执行,非常容易添加。
只需获取该request对象并将其传递给后台任务即可。另外,在返回响应字典(或任何数据)之前,将其传递给后台任务。缺点是丢失了一部分response,只有返回的数据会传递给BT。
此外,另一个缺点是:必须将这些后台任务添加到每个端点。
例如
from fastapi import BackgroundTasks, FastAPI
from starlette.requests import Request
app = FastAPI()
async def log_request(request, response):
logger.info(f'{request.method} {request.url}')
logger.info(f"{response['message']}")
@app.post("/dummy-endpoint/")
async def send_notification(request: Request, background_tasks: BackgroundTasks):
my_response = {"message": "Notification sent in the background"}
background_tasks.add_task(log_request, request=request, response=my_response)
return my_response
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