private final HttpServletRequest request;

        private final String[] tags;

        protected RequestParameter(final HttpServletRequest request, final String query, final String[] tags, final String[] fields,
                final int num) {
            this.query = query;
            this.tags = tags;
            this.fields = fields;
            this.num = num;
            this.request = request;

#      createdAfter: "date" # match objects created after "date"
#      createdBefore: "date" # match objects created before "date"

      ## NOTE: tags are not supported when "source" is remote.
      tags:
         - key: "name"
           value: "pick*" # match objects with tag 'name', with all values starting with 'pick'

      metadata:
         - key: "content-type"

			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"

	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 == "" {

## 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!}
```

////

//// 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"