return q


def query_or_cookie_extractor(
    q: Annotated[str, Depends(query_extractor)],
    last_query: Annotated[str | None, Cookie()] = None,
):
    if not q:
        return last_query
    return q


@app.get("/items/")
async def read_query(
    query_or_default: Annotated[str, Depends(query_or_cookie_extractor)],
):

    return (
        _annotation_is_complex(annotation)
        or _annotation_is_complex(origin)
        or hasattr(origin, "__pydantic_core_schema__")
        or hasattr(origin, "__get_pydantic_core_schema__")
    )


def field_annotation_is_scalar(annotation: Any) -> bool:
    # handle Ellipsis here to make tuple[int, ...] work nicely
    return annotation is Ellipsis or not field_annotation_is_complex(annotation)

All the container management systems (like Docker or Kubernetes) have these networking features integrated into them.

## Containers and Processes

        for key, value in obj.items():
            if (
                (
                    not sqlalchemy_safe
                    or (not isinstance(key, str))
                    or (not key.startswith("_sa"))
                )
                and (value is not None or not exclude_none)
                and key in allowed_keys
            ):
                encoded_key = jsonable_encoder(
                    key,

                provided in one of multiple optional ways (for example, with OpenID
                Connect or in a cookie).
                """
            ),
        ] = True,
    ):
        self.model = OpenIdConnectModel(
            openIdConnectUrl=openIdConnectUrl, description=description
        )
        self.scheme_name = scheme_name or self.__class__.__name__
        self.auto_error = auto_error

        {
            "detail": [
                {
                    "type": "greater_than_equal",
                    "loc": ["path", "item_id"],
                    "msg": "Input should be greater than or equal to 3",
                    "input": "2",
                    "ctx": {"ge": 3.0},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {

А также вы можете добавить валидацию числовых данных:

* `gt`: больше (`g`reater `t`han)
* `ge`: больше или равно (`g`reater than or `e`qual)
* `lt`: меньше (`l`ess `t`han)
* `le`: меньше или равно (`l`ess than or `e`qual)

!!! info "Информация"
    `Query`, `Path` и другие классы, которые мы разберём позже, являются наследниками общего класса `Param`.

        self.prefix = prefix
        self.tags: List[Union[str, Enum]] = tags or []
        self.dependencies = list(dependencies or [])
        self.deprecated = deprecated
        self.include_in_schema = include_in_schema
        self.responses = responses or {}
        self.callbacks = callbacks or []
        self.dependency_overrides_provider = dependency_overrides_provider

Here I'll show you how to use <a href="https://gunicorn.org/" class="external-link" target="_blank">**Gunicorn**</a> with **Uvicorn worker processes**.

!!! info
    If you are using containers, for example with Docker or Kubernetes, I'll tell you more about that in the next chapter: [FastAPI in Containers - Docker](docker.md){.internal-link target=_blank}.

    ```Python hl_lines="1"
    {!> ../../../docs_src/request_forms/tutorial001.py!}
    ```

## Define `Form` parameters

Create form parameters the same way you would for `Body` or `Query`:

=== "Python 3.9+"

    ```Python hl_lines="9"
    {!> ../../../docs_src/request_forms/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="8"