"price": 35.4,
            "images": {"url": "http://example.com/image.png", "name": "example image"},
        },
    )
    assert response.status_code == 422, response.text
    assert response.json() == {
        "detail": [
            {
                "loc": ["body", "images"],
                "input": {
                    "url": "http://example.com/image.png",
                    "name": "example image",

            "name": "Foo",
            "price": 35.4,
            "image": {"url": "http://example.com/image.png"},
        },
    )
    assert response.status_code == 422, response.text
    assert response.json() == {
        "detail": [
            {
                "loc": ["body", "image", "name"],
                "input": {"url": "http://example.com/image.png"},
                "msg": "Field required",

                "price": 35.4,
                "tax": 3.2,
                "tags": ["foo"],
                "images": [
                    {
                        "url": "http://example.com/image.png",
                        "name": "example image",
                    }
                ],
            }
        ],
    }

    response = client.post(
        "/offers/",

## What is a Container Image { #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/propelauth-banner.png" />
      </a>
    </div>
    <div class="item">
      <a title="Zuplo: Scale, Protect, Document, and Monetize your FastAPI" style="display: block; position: relative;" href="https://zuplo.link/fastapi-web" target="_blank">
        <span class="sponsor-badge">sponsor</span>
        <img class="sponsor-image" src="/img/sponsors/zuplo-banner.png" />
      </a>

            "name": "Foo",
            "price": 35.4,
            "image": {"url": "http://example.com/image.png"},
        },
    )
    assert response.status_code == 422, response.text
    assert response.json() == {
        "detail": [
            {
                "loc": ["body", "image", "name"],
                "input": {"url": "http://example.com/image.png"},
                "msg": "Field required",

## Ein Docker-Image für FastAPI erstellen { #build-a-docker-image-for-fastapi }

Okay, wollen wir jetzt etwas bauen! 🚀

Ich zeige Ihnen, wie Sie ein **Docker-Image** für FastAPI **von Grund auf** erstellen, basierend auf dem **offiziellen Python**-Image.

Das ist, was Sie in **den meisten Fällen** tun möchten, zum Beispiel:

///

## Тіла запитів, що складаються зі списків

Якщо верхній рівень JSON тіла, яке Ви очікуєте, є JSON `масивом` (у Python — `list`), Ви можете оголосити тип у параметрі функції, як і в моделях Pydantic:

```Python
images: List[Image]
```
або в Python 3.9 і вище:

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

наприклад:

Observa cómo `Offer` tiene una lista de `Item`s, que a su vez tienen una lista opcional de `Image`s

///

## Cuerpos de listas puras { #bodies-of-pure-lists }

Si el valor superior del cuerpo JSON que esperas es un `array` JSON (una `list` en Python), puedes declarar el tipo en el parámetro de la función, al igual que en los modelos Pydantic:

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

como en:

  mssql:
    image: '${MSSQL_IMAGE}:latest'
    ports:
      - "127.0.0.1:9930:1433"
    environment:
      - TZ=Asia/Shanghai
      - ACCEPT_EULA=Y
      - MSSQL_SA_PASSWORD=LoremIpsum86
  tidb:
    image: 'pingcap/tidb:v6.5.0'
    ports:
      - "127.0.0.1:9940:4000"
    command: /tidb-server -store unistore -path "" -lease 0s > tidb.log 2>&1 &
  gaussdb:
    image: 'opengauss/opengauss:7.0.0-RC1.B023'