}

// ImageReviewContainerSpec is a description of a container within the pod creation request.
message ImageReviewContainerSpec {
  // This can be in the form image:tag or image@SHA:012345679abcdef.
  // +optional
  optional string image = 1;
}

// ImageReviewSpec is a description of the pod creation request.
message ImageReviewSpec {

from fastapi import FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Image(BaseModel):
    url: HttpUrl
    name: str


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None
    tags: set[str] = set()
    images: Union[list[Image], None] = None


class Offer(BaseModel):
    name: str

from fastapi import FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Image(BaseModel):
    url: HttpUrl
    name: str


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: set[str] = set()
    images: list[Image] | None = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):

from fastapi import FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Image(BaseModel):
    url: HttpUrl
    name: str


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None
    tags: set[str] = set()
    images: Union[list[Image], None] = None


@app.put("/items/{item_id}")

          # the end of the line.
          # See https://cloud.google.com/architecture/using-container-images#exploring_image_manifests_digests_and_tags
          echo -n "Trying to map name $1 to tag $2... "
          digest=$(curl -s --head "https://gcr.io/v2/tensorflow-sigs/build/manifests/$2" | egrep -o "sha256:[[:alnum:]]*")
          # Find the line matching the regex "sigbuild-r2.9" (with quotes) and

## 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:

=== "Python 3.9+"

    defaultTolerations: []

    # Default hub for Istio images.
    # Releases are published to docker hub under 'istio' project.
    # Dev builds from prow are on gcr.io
    hub: gcr.io/istio-testing

    # Default tag for Istio images.
    tag: latest

    # Specify image pull policy if default behavior isn't desired.
    # Default behavior: latest images will be Always else IfNotPresent.
    imagePullPolicy: ""

    # Default hub for Istio images.
    # Releases are published to docker hub under 'istio' project.
    # Dev builds from prow are on gcr.io
    hub: gcr.io/istio-testing

    # Default tag for Istio images.
    tag: latest

    # Variant of the image to use.
    # Currently supported are: [debug, distroless]
    variant: ""

    # Specify image pull policy if default behavior isn't desired.

### Docker

We provide Docker images on [ghcr.io](https://github.com/orgs/codelibs/packages). We also provide a Docker Compose (YAML) file in [this repository](https://github.com/codelibs/docker-fess/tree/master/compose). 

### Browser UI

- Search UI: http://localhost:8080/

![Search UI](https://fess.codelibs.org/_images/fess_search_result1.png)

        "bar"
    ],
    "images": [
        {
            "url": "http://example.com/baz.jpg",
            "name": "The Foo live"
        },
        {
            "url": "http://example.com/dave.jpg",
            "name": "The Baz"
        }
    ]
}
```

!!! info "informação"
    Note como o campo `images` agora tem uma lista de objetos de image.

## Modelos profundamente aninhados