# Using Dataclasses { #using-dataclasses }

FastAPI is built on top of **Pydantic**, and I have been showing you how to use Pydantic models to declare requests and responses.

But FastAPI also supports using <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a> the same way:

{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}

Translate to Traditional Chinese (繁體中文).

Language code: zh-hant.

### Grammar and tone

1) Use clear, concise technical Traditional Chinese consistent with existing docs.
2) Address the reader naturally (commonly using “你/你的”).

### Headings

1) Follow existing Traditional Chinese heading style (short and descriptive).
2) Do not add trailing punctuation to headings.

### Quotes and punctuation

Aber dieser Leitfaden zeigt Ihnen mehr oder weniger, wie die beiden normalerweise verwendet werden.

///

### Pydantics `exclude_unset`-Parameter verwenden { #using-pydantics-exclude-unset-parameter }

Wenn Sie Teil-Aktualisierungen entgegennehmen, ist der `exclude_unset`-Parameter in der `.model_dump()`-Methode von Pydantic-Modellen sehr nützlich.

### Target language

Translate to Simplified Chinese (简体中文).

Language code: zh.

### Grammar and tone

1) Use clear, concise technical Chinese consistent with existing docs.
2) Address the reader naturally (commonly using “你/你的”).

### Headings

1) Follow existing Simplified Chinese heading style (short and descriptive).
2) Do not add trailing punctuation to headings.

            use case for this.

            Read more about it in the
            [FastAPI docs for Declare Request Example Data](https://fastapi.tiangolo.com/tutorial/schema-extra-example/#using-the-openapi_examples-parameter).
            """
        ),
    ] = None,
    deprecated: Annotated[
        Union[deprecated, str, bool, None],
        Doc(
            """

                """
            ),
        ] = None,
        dependencies: Annotated[
            Optional[Sequence[params.Depends]],
            Doc(
                """
                A list of dependencies (using `Depends()`) to be applied to all the
                *path operations* in this router.

                Read more about it in the

    return set(re.findall("{(.*?)}", path))


_invalid_args_message = (
    "Invalid args for response field! Hint: "
    "check that {type_} is a valid Pydantic field type. "
    "If you are using a return type annotation that is not a valid Pydantic "
    "field (e.g. Union[Response, dict, None]) you can disable generating the "
    "response model from the type annotation with the path operation decorator "

    operationId: Optional[str] = None
    parameters: Optional[list[Union[Parameter, Reference]]] = None
    requestBody: Optional[Union[RequestBody, Reference]] = None
    # Using Any for Specification Extensions
    responses: Optional[dict[str, Union[Response, Any]]] = None
    callbacks: Optional[dict[str, Union[dict[str, "PathItem"], Reference]]] = None
    deprecated: Optional[bool] = None

# Verwendung von Datenklassen { #using-dataclasses }

FastAPI basiert auf **Pydantic**, und ich habe Ihnen gezeigt, wie Sie Pydantic-Modelle verwenden können, um <abbr title="Request – Anfrage: Daten, die der Client zum Server sendet">Requests</abbr> und <abbr title="Response – Antwort: Daten, die der Server zum anfragenden Client zurücksendet">Responses</abbr> zu deklarieren.

# Usando Dataclasses { #using-dataclasses }

FastAPI é construído em cima do **Pydantic**, e eu tenho mostrado como usar modelos Pydantic para declarar requisições e respostas.

Mas o FastAPI também suporta o uso de <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a> da mesma forma:

{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}