// It has a buffer size of 128K:
	// https://github.com/aws/aws-sdk-java/blob/master/aws-java-sdk-s3/src/main/java/com/amazonaws/services/s3/internal/eventstreaming/MessageDecoder.java#L26
	// but we must make sure there is always space to add 256 bytes:
	// https://github.com/aws/aws-sdk-java/blob/master/aws-java-sdk-s3/src/main/java/com/amazonaws/services/s3/model/SelectObjectContentEventStream.java#L197
	maxRecordMessageLength = (128 << 10) - 256
)

また、将来的にリファレンスとして機能するように構築されています。

従って、後でこのチュートリアルに戻ってきて必要なものを確認できます。

## コードを実行する

すべてのコードブロックをコピーして直接使用できます（実際にテストされたPythonファイルです）。

いずれかの例を実行するには、コードを `main.py`ファイルにコピーし、` uvicorn`を次のように起動します:

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)

이 예시에서, 하위 응용프로그램션은 `/subapi` 경로에 마운트 될 것입니다:

{* ../../docs_src/sub_applications/tutorial001.py hl[11, 19] *}

### 자동으로 생성된 API 문서 확인

이제, `uvicorn`으로 메인 응용프로그램을 실행하십시오. 당신의 파일이 `main.py`라면, 이렇게 실행합니다:

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

from fastapi.testclient import TestClient

from .main import app

client = TestClient(app)


def test_query():
    response = client.get("/query")
    assert response.status_code == 422
    assert response.json() == {
        "detail": [
            {
                "type": "missing",
                "loc": ["query", "query"],
                "msg": "Field required",
                "input": None,
            }
        ]

    /**
     * Shortcut for {@code getService(DependencyResolver.class).flatten(...)}.
     *
     * @param node node for which to get a flattened list
     * @param scope build path scope (main compile, test compile, etc.) of desired nodes
     * @return flattened list of node with the given build path scope
     * @throws org.apache.maven.api.services.DependencyResolverException if the dependency flattening failed
     *

                        break;
                    }
                }
            }
        }

        if (version != null) {
            // if LATEST worked out of the box, remain silent as today, otherwise inform user about search result
            if (searchPerformed) {
                logger.info("Selected plugin {}:{}:{}", request.getGroupId(), request.getArtifactId(), version);
            }

            systemRegistry.setLineReader(reader);
            new TailTipWidgets(reader, systemRegistry::commandDescription, 5, TailTipWidgets.TipType.COMPLETER);
            KeyMap<Binding> keyMap = reader.getKeyMaps().get("main");
            keyMap.bind(new Reference("tailtip-toggle"), KeyMap.alt("s"));

            // start the shell and process input until the user quits with Ctrl-D

<div class="termy">

```console
$ cd ~/code/prisoner-of-azkaban

$ python main.py

// sirius를 임포트하는 데 실패했습니다. 설치되어 있지 않아요 😱
Traceback (most recent call last):
    File "main.py", line 1, in <module>
        import sirius
```

</div>

```

In a given setup, there are `n` MinIO instances talking to `m` KES servers but only `1` central KMS. The most simple setup consists of `1` MinIO server or cluster talking to `1` KMS via `1` KES server.

The main difference between various MinIO-KMS deployments is the KMS implementation. The following table helps you select the right option for your use case:

The main tasks that you can do right now are:

* [Help others with questions in GitHub](#help-others-with-questions-in-github){.internal-link target=_blank} (see the section above).
* [Review Pull Requests](#review-pull-requests){.internal-link target=_blank} (see the section above).

Those two tasks are what **consume time the most**. That's the main work of maintaining FastAPI.