///

## Bodys aus reinen Listen

Wenn Sie möchten, dass das äußerste Element des JSON-Bodys ein JSON-`array` (eine Python-`list`e) ist, können Sie den Typ im Funktionsparameter deklarieren, mit der gleichen Syntax wie in Pydantic-Modellen:

```Python
images: List[Image]
```

oder in Python 3.9 und darüber:

```Python

## What is a Container Image

A **container** is run from a **container image**.

A container image is a **static** version of all the files, environment variables, and the default command/program that should be present in a container. **Static** here means that the container **image** is not running, it's not being executed, it's only the packaged files and metadata.

        <img class="sponsor-image" src="/img/sponsors/platform-sh-banner.png" />
      </a>
    </div>
    <div class="item">
      <a title="Deploy FastAPI on AWS with a few clicks" style="display: block; position: relative;" href="https://www.porter.run" target="_blank">
        <span class="sponsor-badge">sponsor</span>
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services:
  mysql:
    image: 'mysql/mysql-server:latest'
    ports:
      - "127.0.0.1:9910:3306"
    environment:
      - MYSQL_DATABASE=gorm
      - MYSQL_USER=gorm
      - MYSQL_PASSWORD=gorm
      - MYSQL_RANDOM_ROOT_PASSWORD="yes"
  postgres:
    image: 'postgres:latest'
    ports:
      - "127.0.0.1:9920:5432"
    environment:
      - TZ=Asia/Shanghai
      - POSTGRES_DB=gorm
      - POSTGRES_USER=gorm

///

## Bodies of pure lists

If the top level value of the JSON body you expect is a JSON `array` (a Python `list`), you can declare the type in the parameter of the function, the same as in Pydantic models:

```Python
images: List[Image]
```

or in Python 3.9 and above:

```Python
images: list[Image]
```

as in:

mkdocs-material==9.5.18
mdx-include >=1.4.1,<2.0.0
mkdocs-redirects>=1.2.1,<1.3.0
typer == 0.12.5
pyyaml >=5.3.1,<7.0.0
# For Material for MkDocs, Chinese search
jieba==0.42.1
# For image processing by Material for MkDocs
pillow==11.0.0
# For image processing by Material for MkDocs
cairosvg==2.7.1
mkdocstrings[python]==0.26.1
griffe-typingdoc==0.2.7
# For griffe, it formats with black
black==24.3.0
mkdocs-macros-plugin==1.0.5

    runs-on: ubuntu-latest

    services:
      openldap:
        image: quay.io/minio/openldap
        ports:
          - "389:389"
          - "636:636"
        env:
          LDAP_ORGANIZATION: "MinIO Inc"
          LDAP_DOMAIN: "min.io"
          LDAP_ADMIN_PASSWORD: "admin"
      etcd:
        image: "quay.io/coreos/etcd:v3.5.1"
        env:
          ETCD_LISTEN_CLIENT_URLS: "http://0.0.0.0:2379"

///

## Тела с чистыми списками элементов

Если верхний уровень значения тела JSON-объекта представляет собой JSON `array` (в Python - `list`), вы можете объявить тип в параметре функции, так же, как в моделях Pydantic:

```Python
images: List[Image]
```

в Python 3.9 и выше:

```Python
images: list[Image]
```

например так:

CONTAINER_CLI="${CONTAINER_CLI:-docker}"

# Try to use the latest cached image we have. Use at your own risk, may have incompatibly-old versions
if [[ "${LATEST_CACHED_IMAGE:-}" != "" ]]; then
  prefix="$(<<<"$IMAGE_VERSION" cut -d- -f1)"
  query="${TOOLS_REGISTRY_PROVIDER}/${PROJECT_ID}/${IMAGE_NAME}:${prefix}-*"

```

////

/// info

请注意 `Offer` 拥有一组 `Item` 而反过来 `Item` 又是一个可选的 `Image` 列表是如何发生的。

///

## 纯列表请求体

如果你期望的 JSON 请求体的最外层是一个 JSON `array`（即 Python `list`），则可以在路径操作函数的参数中声明此类型，就像声明 Pydantic 模型一样：

```Python
images: List[Image]
```

例如：

//// tab | Python 3.9+

```Python hl_lines="13"