## Usando `BackgroundTasks`

Primeiro, importe `BackgroundTasks` e defina um parâmetro em sua _função de operação de caminho_ com uma declaração de tipo de `BackgroundTasks`:

```Python hl_lines="1  13"
{!../../docs_src/background_tasks/tutorial001.py!}
```

O **FastAPI** criará o objeto do tipo `BackgroundTasks` para você e o passará como esse parâmetro.

## Criar uma função de tarefa

    - [Client Binaries](#client-binaries-6)
    - [Server Binaries](#server-binaries-6)
    - [Node Binaries](#node-binaries-6)
  - [Changelog since v1.11.3](#changelog-since-v1113)
    - [Other notable changes](#other-notable-changes-6)
- [v1.11.3](#v1113)
  - [Downloads for v1.11.3](#downloads-for-v1113)
    - [Client Binaries](#client-binaries-7)
    - [Server Binaries](#server-binaries-7)
    - [Node Binaries](#node-binaries-7)

    * 예를 들어 처리에 오랜 시간이 걸리는 데이터를 받았을 때 "Accepted" (HTTP 202)을 반환하고, 백그라운드에서 데이터를 처리할 수 있습니다.

## `백그라운드 작업` 사용

먼저 아래와 같이 `BackgroundTasks`를 임포트하고, `BackgroundTasks`를 _경로 작동 함수_ 에서 매개변수로 가져오고 정의합니다.

```Python hl_lines="1  13"
{!../../docs_src/background_tasks/tutorial001.py!}
```

**FastAPI** 는 `BackgroundTasks` 개체를 생성하고, 매개 변수로 전달합니다.

## 작업 함수 생성

백그라운드 작업으로 실행할 함수를 정의합니다.

이것은 단순히 매개변수를 받을 수 있는 표준 함수일 뿐입니다.

    enum class Level {
      /** No logs. */
      NONE,

      /**
       * Logs request and response lines.
       *
       * Example:
       * ```
       * --> POST /greeting http/1.1 (3-byte body)
       *
       * <-- 200 OK (22ms, 6-byte body)
       * ```
       */
      BASIC,

      /**
       * Logs request and response lines and their respective headers.
       *
       * Example:

```console
$ pytest

================ test session starts ================
platform linux -- Python 3.6.9, pytest-5.3.5, py-1.8.1, pluggy-0.13.1
rootdir: /home/user/code/superawesome-cli/app
plugins: forked-1.1.3, xdist-1.31.0, cov-2.8.1
collected 6 items

---> 100%

test_main.py <span style="color: green; white-space: pre;">......                            [100%]</span>

```console
$ pytest

================ test session starts ================
platform linux -- Python 3.6.9, pytest-5.3.5, py-1.8.1, pluggy-0.13.1
rootdir: /home/user/code/superawesome-cli/app
plugins: forked-1.1.3, xdist-1.31.0, cov-2.8.1
collected 6 items

---> 100%

test_main.py <span style="color: green; white-space: pre;">......                            [100%]</span>

	github.com/lucasb-eyer/go-colorful v1.2.0 // indirect
	github.com/lufia/plan9stats v0.0.0-20240909124753-873cd0166683 // indirect
	github.com/mailru/easyjson v0.7.7 // indirect
	github.com/mattn/go-colorable v0.1.13 // indirect
	github.com/mattn/go-ieproxy v0.0.12 // indirect
	github.com/mattn/go-isatty v0.0.20 // indirect
	github.com/mattn/go-localereader v0.0.1 // indirect
	github.com/mattn/go-runewidth v0.0.16 // indirect

### Asynchroner Kontextmanager

Wie Sie sehen, ist die Funktion mit einem `@asynccontextmanager` versehen.

Dadurch wird die Funktion in einen sogenannten „**asynchronen Kontextmanager**“ umgewandelt.

```Python hl_lines="1  13"
{!../../docs_src/events/tutorial003.py!}
```

Ein **Kontextmanager** in Python ist etwas, das Sie in einer `with`-Anweisung verwenden können, zum Beispiel kann `open()` als Kontextmanager verwendet werden:

```Python

```console
$ pytest

================ test session starts ================
platform linux -- Python 3.6.9, pytest-5.3.5, py-1.8.1, pluggy-0.13.1
rootdir: /home/user/code/superawesome-cli/app
plugins: forked-1.1.3, xdist-1.31.0, cov-2.8.1
collected 6 items

---> 100%

test_main.py <span style="color: green; white-space: pre;">......                            [100%]</span>

    testReverse(new byte[] {}, new byte[] {});
    testReverse(new byte[] {1}, new byte[] {1});
    testReverse(new byte[] {1, 2}, new byte[] {2, 1});
    testReverse(new byte[] {3, 1, 1}, new byte[] {1, 1, 3});
    testReverse(new byte[] {-1, 1, -2, 2}, new byte[] {2, -2, 1, -1});
  }

  private static void testReverse(byte[] input, byte[] expectedOutput) {
    input = Arrays.copyOf(input, input.length);