status_code=HTTP_401_UNAUTHORIZED,
            detail="Not authenticated",
            headers={"WWW-Authenticate": "Bearer"},
        )

    async def __call__(self, request: Request) -> Optional[str]:
        authorization = request.headers.get("Authorization")
        if not authorization:
            if self.auto_error:
                raise self.make_not_authenticated_error()
            else:

    now served with tensorflow/serving, it will accept requests using 'inputs'
    and 'outputs'. Starting at 1.2, such a model will accept the keys specified
    during export. Therefore, inference requests using 'inputs' and 'outputs'
    may start to fail. To fix this, either update any inference clients to send
    requests with the actual input and output keys used by the trainer code, or

**참고**: 만약 이슈를 생성한다면, 저는 여러분에게 다른 사람들을 도와달라고 부탁할 것입니다. 😉

## Pull Requests 리뷰하기

다른 사람들의 pull request를 리뷰하는 데 도움을 줄 수 있습니다.

다시 한번 말하지만, 최대한 친절하게 리뷰해 주세요. 🤗

---

Pull Rrquest를 리뷰할 때 고려해야 할 사항과 방법은 다음과 같습니다:

### 문제 이해하기

* 먼저, 해당 pull request가 해결하려는 **문제를 이해하는지** 확인하세요. GitHub 디스커션 또는 이슈에서 더 긴 논의가 있었을 수도 있습니다.

* Pull request가 필요하지 않을 가능성도 있습니다. **다른 방식**으로 문제를 해결할 수 있다면, 그 방법을 제안하거나 질문할 수 있습니다.

	// request to get next set of objects. Server lists objects in alphabetical
	// order Note: This element is returned only if you have delimiter request parameter
	// specified. If response does not include the NextMaker and it is truncated,
	// you can use the value of the last Key in the response as the marker in the
	// subsequent request to get the next set of object keys.

	reqInfo := logger.GetReqInfo(ctx)
	var newReqInfo *logger.ReqInfo
	if reqInfo != nil {
		newReqInfo = logger.NewReqInfo(reqInfo.RemoteHost, reqInfo.UserAgent, reqInfo.DeploymentID, reqInfo.RequestID, reqInfo.API, bucket, object)
	} else {
		newReqInfo = logger.NewReqInfo("", "", globalDeploymentID(), "", "Heal", bucket, object)
	}
	healCtx := logger.SetReqInfo(GlobalContext, newReqInfo)

   */
  open fun requestHeadersEnd(
    call: Call,
    request: Request,
  ) {
  }

  /**
   * Invoked just prior to sending a request body.  Will only be invoked for request allowing and
   * having a request body to send.
   *
   * The connection is implicit, and will generally relate to the last [connectionAcquired] event.
   *

	var lastReq *http.Request
	checkRedirect := func(req *http.Request, via []*http.Request) error {
		// fmt.Printf("CheckRedirect:\n")
		// fmt.Printf("Upcoming: %s %s\n", req.Method, req.URL.String())
		// for i, c := range via {
		// 	fmt.Printf("Sofar %d: %s %s\n", i, c.Method, c.URL.String())
		// }
		// Save the last request in a redirect chain.
		lastReq = req

In versions lower than `0.65.2`, FastAPI would try to read the request payload as JSON even if the `content-type` header sent was not set to `application/json` or a compatible JSON media type (e.g. `application/geo+json`).

So, a request with a content type of `text/plain` containing JSON data would be accepted and the JSON data would be extracted.

    else:
        actual_response_class = response_class

    async def app(request: Request) -> Response:
        response: Union[Response, None] = None
        file_stack = request.scope.get("fastapi_middleware_astack")
        assert isinstance(file_stack, AsyncExitStack), (
            "fastapi_middleware_astack not found in request scope"
        )

        # Extract endpoint context for error messages

* Add `metrics-port` to kube-proxy cmd flags. ([#72682](https://github.com/kubernetes/kubernetes/pull/72682), [@whypro](https://github.com/whypro))