///

## 多个模型

下面的代码展示了不同模型处理密码字段的方式，及使用位置的大致思路：

//// tab | Python 3.10+

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

////

//// tab | Python 3.8+

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

	cmd := &cobra.Command{
		Use:   "tag",
		Short: "Command group used to interact with revision tags",
		Long: `Command group used to interact with revision tags. Revision tags allow for the creation of mutable aliases
referring to control plane revisions for sidecar injection.

With revision tags, rather than relabeling a namespace from "istio.io/rev=revision-a" to "istio.io/rev=revision-b" to

			return true
		}

		if hasTags {
			// Only parse object tags if tags filter is specified.
			tagMap := map[string]string{}
			tagStr := oi.UserTags
			if len(tagStr) != 0 {
				t, err := tags.ParseObjectTags(tagStr)
				if err != nil {
					return false
				}
				tagMap = t.ToMap()
			}
			for _, kv := range r.Flags.Filter.Tags {
				for t, v := range tagMap {

Das bedeutet auch, dass Sie in Python 3.10 `Something | None` verwenden können:

//// tab | Python 3.10+

```Python hl_lines="1"
{!> ../../docs_src/python_types/tutorial009_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="1  4"
{!> ../../docs_src/python_types/tutorial009.py!}
```

////

//// tab | Python 3.8+ Alternative

```Python hl_lines="1  4"

## Optionale Parameter

Auf die gleiche Weise können Sie optionale Query-Parameter deklarieren, indem Sie deren Defaultwert auf `None` setzen:

//// tab | Python 3.10+

```Python hl_lines="7"
{!> ../../docs_src/query_params/tutorial002_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="9"
{!> ../../docs_src/query_params/tutorial002.py!}
```

////

	API := "SYSTEM"
	switch {
	case req.API != "":
		API = req.API
	case subsystem != "":
		API += "." + subsystem
	}

	// Copy tags. We hold read lock already.
	tags := make(map[string]interface{}, len(req.tags))
	for _, entry := range req.tags {
		tags[entry.Key] = entry.Val
	}

	// Get the cause for the Error
	deploymentID := req.DeploymentID
	if req.DeploymentID == "" {

//// tab | Python 3.10+

```Python hl_lines="9-12  16"
{!> ../../docs_src/cookie_param_models/tutorial001_an_py310.py!}
```

////

//// tab | Python 3.9+

```Python hl_lines="9-12  16"
{!> ../../docs_src/cookie_param_models/tutorial001_an_py39.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="10-13  17"

먼저 `pydantic`에서 `BaseModel`를 임포트해야 합니다:

//// tab | Python 3.10+

```Python hl_lines="2"
{!> ../../docs_src/body/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="4"
{!> ../../docs_src/body/tutorial001.py!}
```

////

## 여러분의 데이터 모델 만들기

`BaseModel`를 상속받은 클래스로 여러분의 데이터 모델을 선언합니다.

모든 어트리뷰트에 대해 표준 파이썬 타입을 사용합니다:

//// tab | Python 3.10+

```Python hl_lines="5-9"

///

## Importieren Sie Pydantics `BaseModel`

Zuerst müssen Sie `BaseModel` von `pydantic` importieren:

//// tab | Python 3.10+

```Python hl_lines="2"
{!> ../../docs_src/body/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="4"
{!> ../../docs_src/body/tutorial001.py!}
```

////

## Erstellen Sie Ihr Datenmodell

从 `pydantic` 中导入 `BaseModel`：

//// tab | Python 3.10+

```Python hl_lines="2"
{!> ../../docs_src/body/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="4"
{!> ../../docs_src/body/tutorial001.py!}
```

////

## 创建数据模型

把数据模型声明为继承 `BaseModel` 的类。

使用 Python 标准类型声明所有属性：

//// tab | Python 3.10+

```Python hl_lines="5-9"