Then we can create an `AsyncClient` with the app, and send async requests to it, using `await`.

{* ../../docs_src/async_tests/test_main.py hl[9:12] *}

This is the equivalent to:

```Python
response = client.get('/')
```

...that we used to make our requests with the `TestClient`.

/// tip

Note that we're using async/await with the new `AsyncClient` - the request is asynchronous.

///

/// warning

      panels.timeSeries.statPercent('Success Rate', queries.globalRequestSuccessRate, 'Total success rate of requests in the cluster'),
      panels.timeSeries.statRps('4xxs', queries.globalRequest4xx, 'Total 4xx requests in in the cluster'),
      panels.timeSeries.statRps('5xxs', queries.globalRequest5xx, 'Total 5xx requests in in the cluster'),
    ]),
  ], panelHeight=5)

import okio.Timeout

/**
 * A call is a request that has been prepared for execution. A call can be canceled. As this object
 * represents a single request/response pair (stream), it cannot be executed twice.
 */
interface Call : Cloneable {
  /** Returns the original request that initiated this call. */
  fun request(): Request

  /**

///

### <a href="https://requests.readthedocs.io" class="external-link" target="_blank">Requests</a>

На самом деле **FastAPI** не является альтернативой **Requests**.
Их область применения очень разная.

В принципе, можно использовать Requests *внутри* приложения FastAPI.

Но всё же я использовал в FastAPI некоторые идеи из Requests.

**Requests** - это библиотека для взаимодействия с API в качестве клиента,

    // value seen so far
    while (cache.getUnchecked(nextRandomKey()) < maximumSize) {}

    requests.set(0);
    misses.set(0);
  }

  @Benchmark
  int time(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {
      dummy += cache.getUnchecked(nextRandomKey());
    }
    requests.addAndGet(reps);
    return dummy;
  }

  private int nextRandomKey() {
    int a = random.nextInt(max);

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.

                  "mode": "fixed"
                }
              }
            ]
          },
          {
            "matcher": {
              "id": "byName",
              "options": "Replication Requests"
            },
            "properties": [
              {
                "id": "color",
                "value": {
                  "fixedColor": "light-green",
                  "mode": "fixed"

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"]

  }

  companion object {
    /**
     * Cache control request directives that require network validation of responses. Note that such
     * requests may be assisted by the cache via conditional GET requests.
     */
    @JvmField
    val FORCE_NETWORK = commonForceNetwork()

    /**
     * Cache control request directives that uses the cache only, even if the cached response is

			Name:    "s3_ttfb_seconds",
			Help:    "Time taken by requests served by current MinIO server instance",
			Buckets: []float64{.05, .1, .25, .5, 1, 2.5, 5, 10},
		},
		[]string{"api"},
	)
	bucketHTTPRequestsDuration = prometheus.NewHistogramVec(
		prometheus.HistogramOpts{
			Name:    "s3_ttfb_seconds",
			Help:    "Time taken by requests served by current MinIO server instance per bucket",