这意味着，在 Python 中从环境变量读取的任何值都是 `str` 类型，任何到不同类型的转换或任何验证都必须在代码中完成。

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

幸运的是，Pydantic 提供了一个很好的工具来处理来自环境变量的这些设置：[Pydantic：Settings 管理](https://docs.pydantic.dev/latest/concepts/pydantic_settings/)。

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

首先，确保你创建并激活了[虚拟环境](../virtual-environments.md)，然后安装 `pydantic-settings` 包：

<div class="termy">

```console

   
      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.

bazel run //ci/official/requirements_updater:requirements.update --repo_env=HERMETIC_PYTHON_VERSION=3.12 -- --upgrade
```

For the full set of supported parameters please check
[pip-compile](https://pip-tools.readthedocs.io/en/latest/cli/pip-compile/)

 * limitations under the License.
 */

package gradlebuild.identity.model


data class ReleasedVersions(
    val latestReleaseSnapshot: ReleasedVersion,
    val latestRc: ReleasedVersion,
    val finalReleases: List<ReleasedVersion>

 * limitations under the License.
 */

package gradlebuild.buildutils.model


data class ReleasedVersions(
    val latestReleaseSnapshot: ReleasedVersion,
    val latestRc: ReleasedVersion,
    val finalReleases: List<ReleasedVersion>

		}
		db, err = gorm.Open(gaussdb.New(gaussdb.Config{
			DSN:                  dbDSN,
			PreferSimpleProtocol: true,
		}), cfg)
	case "sqlserver":
		// go install github.com/microsoft/go-sqlcmd/cmd/sqlcmd@latest
		// SQLCMDPASSWORD=LoremIpsum86 sqlcmd -U sa -S localhost:9930
		// CREATE DATABASE gorm;
		// GO
		// CREATE LOGIN gorm WITH PASSWORD = 'LoremIpsum86';
		// CREATE USER gorm FROM LOGIN gorm;

docker system prune -f || true
docker volume prune -f || true
docker volume rm $(docker volume ls -f dangling=true) || true

## change working directory
cd .github/workflows/mint

## always pull latest
docker pull docker.io/minio/mint:edge

docker-compose -f minio-${MODE}.yaml up -d
sleep 1m

docker system prune -f || true
docker volume prune -f || true

つまり、Python で環境変数から読み取られる値はすべて `str` になり、他の型への変換やバリデーションはコードで行う必要があります。

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

幸いなことに、Pydantic には環境変数から来る設定を扱うための優れたユーティリティがあり、[Pydantic: Settings management](https://docs.pydantic.dev/latest/concepts/pydantic_settings/) で提供されています。

### `pydantic-settings` のインストール { #install-pydantic-settings }

まず、[仮想環境](../virtual-environments.md)を作成して有効化し、`pydantic-settings` パッケージをインストールします:

<div class="termy">

/// check | **FastAPI**'a ilham olan

Kodla, veri tiplerini ve doğrulamayı otomatik sağlayan “şemalar” tanımlamak.

///

### [Webargs](https://webargs.readthedocs.io/en/latest/) { #webargs }

API’ların ihtiyaç duyduğu bir diğer büyük özellik, gelen isteklerden veriyi <dfn title="okuyup Python verisine dönüştürme">ayrıştırma</dfn>dır.

---
- job:
    name: "elastic+elasticsearch+pull-request+packaging-upgrade-tests"
    display-name: "elastic / elasticsearch - pull request packaging-upgrade-tests"
    description: "Testing of Elasticsearch pull requests - packaging-upgrade-tests"
    project-type: matrix
    node: master
    child-workspace: "/dev/shm/elastic+elasticsearch+pull-request+packaging-upgrade-tests"
    scm:
      - git: