| `minio_s3_requests_canceled_total`            | Total number S3 requests canceled by the client.         |
| `minio_s3_requests_errors_total`              | Total number S3 requests with (4xx and 5xx) errors.      |
| `minio_s3_requests_incoming_total`            | Volatile number of total incoming S3 requests.           |

You can read more details about the <a href="https://www.starlette.io/requests/" class="external-link" target="_blank">`Request` object in the official Starlette documentation site</a>.

/// note | "Technical Details"

You could also use `from starlette.requests import Request`.

**FastAPI** provides it directly just as a convenience for you, the developer. But it comes directly from Starlette.

				for b := range in {
					PutByteBuffer(b)
					got++
				}
				if got != requests {
					return NewRemoteErrf("wrong number of requests. want %d, got %d", requests, got)
				}
				return nil
			},

			Subroute:    "some-subroute",
			OutCapacity: 1,
			InCapacity:  1, // Only one message buffered.
		}))
		errFatal(err)
	}
	const payloadSize = 512

			r := RemoteErr(err.Error())
			return nil, &r
		}
		return payload, nil
	}, subroute...)
}

// Requester is able to send requests to a remote.
type Requester interface {
	Request(ctx context.Context, h HandlerID, req []byte) ([]byte, error)
}

// Call the remote with the request and return the response.
// The response should be returned with PutResponse when no error.

    permissions:
      contents: read
      pull-requests: write
    runs-on: ubuntu-latest
    steps:
    - uses: actions/labeler@v5
      if: ${{ github.event.action != 'labeled' && github.event.action != 'unlabeled' }}
    - run: echo "Done adding labels"
  # Run this after labeler applied labels
  check-labels:
    needs:
      - labeler
    permissions:
      pull-requests: read
    runs-on: ubuntu-latest
    steps:

Install the necessary dependencies.
```sh
pip install flask requests
```

Following is an example lambda handler.
```py
from flask import Flask, request, abort, make_response
import requests

app = Flask(__name__)
@app.route('/', methods=['POST'])
def get_webhook():
	if request.method == 'POST':
		# obtain the request event from the 'POST' call
		event = request.json

		object_context = event["getObjectContext"]

 * follow-up requests. The client is unblocked and free to continue as soon as it has received the
 * entire response body. If and when the client makes a subsequent request using a pooled socket the
 * server may not have had time to close the socket. The socket will be closed at an indeterminate
 * point before or during the second request. It may be closed after client has started sending the

  schedule: # Runs the action on the first day of every month at 3:42 UTC
    - cron: '42 3 1 * *'

permissions:
  contents: write
  pull-requests: write

jobs:
  update-jdks:
    permissions:
      contents: write
      pull-requests: write
    runs-on: ubuntu-latest
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3
        with:
          persist-credentials: false

Here we use it to create a `GzipRequest` from the original request.

{* ../../docs_src/custom_request_and_route/tutorial001.py hl[18:26] *}

/// note | "Technical Details"

A `Request` has a `request.scope` attribute, that's just a Python `dict` containing the metadata related to the request.

// Package-wide variables from generator "generated".
option go_package = "k8s.io/api/autoscaling/v2beta2";

// ContainerResourceMetricSource indicates how to scale on a resource metric known to
// Kubernetes, as specified in requests and limits, describing each pod in the
// current scale target (e.g. CPU or memory).  The values will be averaged
// together before being compared to the target.  Such metrics are built in to