Glücklicherweise bietet Pydantic ein großartiges Werkzeug zur Verarbeitung dieser Einstellungen, die von Umgebungsvariablen stammen, mit [Pydantic: Settings Management](https://docs.pydantic.dev/latest/concepts/pydantic_settings/).

### `pydantic-settings` installieren { #install-pydantic-settings }

		return nil, err
	}
	return &req, nil
}

// validate a RestoreObjectRequest as per AWS S3 spec https://docs.aws.amazon.com/AmazonS3/latest/API/API_RestoreObject.html
func (r *RestoreObjectRequest) validate(ctx context.Context, objAPI ObjectLayer) error {
	if r.Type != SelectRestoreRequest && !r.SelectParameters.IsEmpty() {

   * containing two inner lists of three and two elements, all in the original order.
   *
   * <p>The outer list is unmodifiable, but reflects the latest state of the source list. The inner
   * lists are sublist views of the original list, produced on demand using {@link List#subList(int,
   * int)}, and are subject to all the usual caveats about modification as explained in that API.

{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}

這之所以可行，要感謝 **Pydantic**，因為它 [內建支援 `dataclasses`](https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel)。

所以，即使上面的程式碼沒有明確使用 Pydantic，FastAPI 仍會使用 Pydantic 將那些標準的 dataclass 轉換為 Pydantic 版本的 dataclass。

而且當然一樣支援：

- 資料驗證
- 資料序列化
- 資料文件化等

## Pydantic `Settings` { #pydantic-settings }

На щастя, Pydantic надає чудовий інструмент для обробки цих налаштувань із змінних оточення - [Pydantic: Settings management](https://docs.pydantic.dev/latest/concepts/pydantic_settings/).

### Встановіть `pydantic-settings` { #install-pydantic-settings }

## Pydantic `Settings` { #pydantic-settings }

Heureusement, Pydantic fournit un excellent utilitaire pour gérer ces paramètres provenant des variables d'environnement avec [Pydantic : gestion des paramètres](https://docs.pydantic.dev/latest/concepts/pydantic_settings/).

### Installer `pydantic-settings` { #install-pydantic-settings }

		}
		return rinfo
	}
	defer gr.Close()

	objInfo := gr.ObjInfo

	// make sure we have the latest metadata for metrics calculation
	rinfo.PrevReplicationStatus = objInfo.TargetReplicationStatus(tgt.ARN)

	// use latest ObjectInfo to check if previous replication attempt succeeded

{* ../../docs_src/settings/app02_an_py310/main.py hl[17,19:21] *}

### Ayarlar ve test { #settings-and-testing }

Ardından, `get_settings` için bir dependency override oluşturarak test sırasında farklı bir settings nesnesi sağlamak çok kolay olur:

{* ../../docs_src/settings/app02_an_py310/test_main.py hl[9:10,13,21] *}

			Err:            fmt.Sprintf("server is running the latest version: %s", Version),
			CurrentVersion: Version,
		})

		for _, client := range globalNotificationSys.peerClients {
			updateStatus.Results = append(updateStatus.Results, madmin.ServerPeerUpdateStatus{
				Host:           client.String(),
				Err:            fmt.Sprintf("server is running the latest version: %s", Version),
				CurrentVersion: Version,
			})

* Filter out non-RestartAlways mirror pod in restart test. ([#37203](https://github.com/kubernetes/kubernetes/pull/37203), [@Random-Liu](https://github.com/Random-Liu))
* Validate volume spec before returning azure mounter ([#37018](https://github.com/kubernetes/kubernetes/pull/37018), [@rootfs](https://github.com/rootfs))