placeholder: |
        Go: devel go1.22-0262ea1ff9 Thu Oct 26 18:46:50 2023 +0000
        Scanner: govulncheck@v1.0.2-0.20231108200754-fcf7dff7b242
        DB: https://vuln.go.dev
        DB updated: 2023-11-21 15:39:17 +0000 UTC
    validations:
      required: true
  - type: textarea
    id: reproduce-latest-version
    attributes:
      label: "Does this issue reproduce at the latest version of golang.org/x/vuln?"

        + "'round':4,"
        + "'lastSaved':1367702411696,"
        + "'dateStarted':1367702378785,"
        + "'players':["
        + "{'name':'" + player1 + "','history':[10,8,6,7,8],'color':-13388315,'total':39},"
        + "{'name':'" + player2 + "','history':[6,10,5,10,10],'color':-48060,'total':41}"
        + "]}";
  }

  public static void main(String[] args) throws IOException {
    PostExample example = new PostExample();

	_ = x[HandlerLoadPolicyMapping-33]
	_ = x[HandlerDeleteServiceAccount-34]
	_ = x[HandlerLoadServiceAccount-35]
	_ = x[HandlerDeleteUser-36]
	_ = x[HandlerLoadUser-37]
	_ = x[HandlerLoadGroup-38]
	_ = x[HandlerHealBucket-39]
	_ = x[HandlerMakeBucket-40]
	_ = x[HandlerHeadBucket-41]
	_ = x[HandlerDeleteBucket-42]
	_ = x[HandlerGetMetrics-43]
	_ = x[HandlerGetResourceMetrics-44]
	_ = x[HandlerGetMemInfo-45]
	_ = x[HandlerGetProcInfo-46]

    A4IBAQCT1DCw1wMgKtD5Y+iRDAUgqV8ZyntyTtSx29CW+1RaGSwMCPeyvIWonX9t
    O1KzKtvn1ISMY/YPyyYBkVBs9F8U4pN0wBOeMDpQ47RgxRzwIkSNcUesyBrJ6Zua
    AGAT/3B+XxFNSRuzFVJ7yVTav52Vr2ua2J7p8eRDjeIRRDq/r72DQnNSi6q7pynP
    9WQcCk3RvKqsnyrQ/39/2n3qse0wJcGE2jTSW3iDVuycNsMm4hH2Z0kdkquM++v/
    eu6FSqdQgPCnXEqULl8FmTxSQeDNtGPPAUO6nIPcj2A781q0tHuu2guQOHXvgR1m
    0vdXcDazv/wor3ElhVsT/h5/WrQ8
    -----END CERTIFICATE-----
    """.trimIndent().decodeCertificatePem()

```Python hl_lines="25-28"
{!../../../docs_src/async_sql_databases/tutorial001.py!}
```

## 创建模型

创建以下 Pydantic 模型：

* 创建笔记的模型（`NoteIn`）
* 返回笔记的模型（`Note`）

```Python hl_lines="31-33  36-39"
{!../../../docs_src/async_sql_databases/tutorial001.py!}
```

这两个 Pydantic 模型都可以辅助验证、序列化（转换）并注释（存档）输入的数据。

因此，API 文档会显示这些数据。

## 连接与断开

* 创建 `FastAPI` 应用
* 创建事件处理器，执行数据库连接与断开操作

	_ = x[ErrNoSuchBucket-34]
	_ = x[ErrNoSuchBucketPolicy-35]
	_ = x[ErrNoSuchBucketLifecycle-36]
	_ = x[ErrNoSuchLifecycleConfiguration-37]
	_ = x[ErrInvalidLifecycleWithObjectLock-38]
	_ = x[ErrNoSuchBucketSSEConfig-39]
	_ = x[ErrNoSuchCORSConfiguration-40]
	_ = x[ErrNoSuchWebsiteConfiguration-41]
	_ = x[ErrReplicationConfigurationNotFoundError-42]
	_ = x[ErrRemoteDestinationNotFoundError-43]
	_ = x[ErrReplicationDestinationMissingLock-44]

Ниже изложена основная идея того, как могут выглядеть эти модели с полями для паролей, а также описаны места, где они используются:

=== "Python 3.10+"

    ```Python hl_lines="7  9  14  20  22  27-28  31-33  38-39"
    {!> ../../../docs_src/extra_models/tutorial001_py310.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="9  11  16  22  24  29-30  33-35  40-41"
    {!> ../../../docs_src/extra_models/tutorial001.py!}

## Multiple models

Here's a general idea of how the models could look like with their password fields and the places where they are used:

=== "Python 3.10+"

    ```Python hl_lines="7  9  14  20  22  27-28  31-33  38-39"
    {!> ../../../docs_src/extra_models/tutorial001_py310.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="9  11  16  22  24  29-30  33-35  40-41"
    {!> ../../../docs_src/extra_models/tutorial001.py!}

{!../../../docs_src/async_sql_databases/tutorial001.py!}
```

## Create models

Create Pydantic models for:

* Notes to be created (`NoteIn`).
* Notes to be returned (`Note`).

```Python hl_lines="31-33  36-39"
{!../../../docs_src/async_sql_databases/tutorial001.py!}
```

By creating these Pydantic models, the input data will be validated, serialized (converted), and annotated (documented).

			Objects: []ObjectInfo{
				{Name: "foo/201910/1112"},
				{Name: "foo/201910/1122"},
				{Name: "foo/201910/2112"},
				{Name: "foo/201910_txt"},
			},
		},
		// ListObjectsResult-39 list with prefix match 1 level deep
		39: {
			IsTruncated: false,
			Objects: []ObjectInfo{
				{Name: "201910/foo/bar/xl.meta/1.txt"},
			},
		},
		// ListObjectsResult-40
		40: {
			IsTruncated: false,