///

/// info

이 페이지에서는 **가상 환경**을 사용하는 방법과 작동 방식을 알려드립니다.

Python 설치까지 포함해 **모든 것을 관리해주는 도구**를 도입할 준비가 되었다면 [uv](https://github.com/astral-sh/uv)를 사용해 보세요.

///

## 프로젝트 생성 { #create-a-project }

먼저, 프로젝트를 위한 디렉터리를 하나 생성합니다.

제가 보통 하는 방법은 사용자 홈/유저 디렉터리 안에 `code`라는 디렉터리를 만드는 것입니다.

그리고 그 안에 프로젝트마다 디렉터리를 하나씩 만듭니다.

<div class="termy">

```console
// 홈 디렉터리로 이동
$ cd

		}
		// CopyObject optimization where we don't create an entire copy
		// of the content, instead we add a reference, we disallow legacy
		// objects to be self referenced in this manner so make sure
		// that we actually create a new dataDir for legacy objects.
		if dstOpts.Versioned && srcOpts.VersionID != dstOpts.VersionID && !srcInfo.Legacy {

   * soft/weak entries.
   */
  final RemovalListener<K, V> removalListener;

  /** Measures time in a testable way. */
  final Ticker ticker;

  /** Factory used to create new entries. */
  final EntryFactory entryFactory;

  /**
   * Accumulates global cache statistics. Note that there are also per-segments stats counters which
   * must be aggregated to obtain a global stats view.

    public static final String ERRORS_crud_invalid_mode = "{errors.crud_invalid_mode}";

    /** The key of the message: Failed to create a new data. */
    public static final String ERRORS_crud_failed_to_create_instance = "{errors.crud_failed_to_create_instance}";

    /** The key of the message: Failed to create a new data. ({0}) */
    public static final String ERRORS_crud_failed_to_create_crud_table = "{errors.crud_failed_to_create_crud_table}";

/**
 * Helper class for indexing operations in the Fess search engine.
 * This class provides functionality for sending documents to the search engine,
 * managing document lifecycle operations (create, update, delete), and handling
 * thumbnail processing during indexing.
 *
 * <p>The IndexingHelper manages bulk operations, handles retries on failures,
 * and provides various query-based operations for document management.

                byte[] bytes = sums.get(extension).getBytes(StandardCharsets.UTF_8);
                Files.write(
                        Paths.get(temp.getAbsolutePath()), bytes, StandardOpenOption.APPEND, StandardOpenOption.CREATE);

                temporaryFiles.add(temp);
                wagon.put(temp, remotePath + "." + extension);
            }
        } catch (ConnectionException e) {

- The `kubectl debug` is able to create ephemeral containers in pre-1.22 clusters with the `EphemeralContainers` feature enabled. Note that versions of kubectl prior to 1.22 are unable to create ephemeral containers in clusters version 1.22 and greater due to an API change. ([#103292](https://github.com/kubernetes/kubernetes/pull/103292), [@verb](https://github.com/verb))...

        @Override
        public String getServletPath() {
            throw new UnsupportedOperationException();
        }

        @Override
        public jakarta.servlet.http.HttpSession getSession(boolean create) {
            throw new UnsupportedOperationException();
        }

        @Override
        public jakarta.servlet.http.HttpSession getSession() {
            throw new UnsupportedOperationException();

///

## Pydanticの `BaseModel` をインポート { #import-pydantics-basemodel }

まず、`pydantic` から `BaseModel` をインポートする必要があります:

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## データモデルの作成 { #create-your-data-model }

次に、`BaseModel` を継承するクラスとしてデータモデルを宣言します。

すべての属性に標準のPython型を使用します:

{* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}

---> 100%
```

</div>

当你用以下方式安装 `all` 扩展时，它也会被一并安装：

<div class="termy">

```console
$ pip install "fastapi[all]"
---> 100%
```

</div>

### 创建 `Settings` 对象 { #create-the-settings-object }

从 Pydantic 导入 `BaseSettings` 并创建一个子类，这与创建 Pydantic 模型非常相似。

与 Pydantic 模型一样，用类型注解声明类属性，也可以指定默认值。

你可以使用与 Pydantic 模型相同的验证功能和工具，例如不同的数据类型，以及使用 `Field()` 进行附加验证。