* parameter type matches boolean primitive formal type). This behavior
     * is because this method is used to determine applicable methods for
     * an actual parameter list, and primitive types are represented by
     * their object duals in reflective method calls.
     *
     * @param formal the formal parameter type to which the actual

            return null;
        }
    }

    /**
     * Retrieves the pipeline configuration parameter for a given config ID.
     * The pipeline parameter is extracted from the crawling configuration's parameter map.
     *
     * @param configId the configuration ID to get the pipeline for

Declara los **parámetros de header** que necesitas en un **modelo Pydantic**, y luego declara el parámetro como `Header`:

{* ../../docs_src/header_param_models/tutorial001_an_py310.py hl[9:14,18] *}

**FastAPI** **extraerá** los datos para **cada campo** de los **headers** en el request y te dará el modelo Pydantic que definiste.

## Revisa la Documentación { #check-the-docs }

Declare os **parâmetros de cabeçalho** que você precisa em um **modelo do Pydantic**, e então declare o parâmetro como `Header`:

{* ../../docs_src/header_param_models/tutorial001_an_py310.py hl[9:14,18] *}

O **FastAPI** irá **extrair** os dados de **cada campo** a partir dos **cabeçalhos** da requisição e te retornará o modelo do Pydantic que você definiu.

labels.boost=Boost
labels.crawlingConfigName=Name
labels.crawlingConfigPath=Path to Crawl
labels.processType=Process Type
labels.parameters=Parameters
labels.designFile=File to Upload
labels.bulkFile=Bulk File
labels.appendQueryParameter=Append Search Parameters
labels.configId=Config ID
labels.configParameter=Config Parameter
labels.content=Content
labels.csvFileEncoding=CSV Encoding
labels.defaultLabelValue=Default Label

It is designed to have functions that receive two parameters, one "request" and one "response". Then you "read" parts from the request, and "write" parts to the response. Because of this design, it is not possible to declare request parameters and bodies with standard Python type hints as function parameters.

# 쿼리 매개변수와 문자열 검증 { #query-parameters-and-string-validations }

**FastAPI**를 사용하면 매개변수에 대한 추가 정보 및 검증을 선언할 수 있습니다.

이 애플리케이션을 예로 들어보겠습니다:

{* ../../docs_src/query_params_str_validations/tutorial001_py310.py hl[7] *}

쿼리 매개변수 `q`는 `str | None` 자료형입니다. 즉, `str` 자료형이지만 `None` 역시 될 수 있음을 뜻하고, 실제로 기본값은 `None`이기 때문에 FastAPI는 이 매개변수가 필수가 아니라는 것을 압니다.

/// note | 참고

FastAPI는 `q`의 기본값이 `= None`이기 때문에 필수가 아님을 압니다.

Dentro de la función, puedes acceder a todos los atributos del objeto modelo directamente:

{* ../../docs_src/body/tutorial002_py310.py *}

## Request body + parámetros de path { #request-body-path-parameters }

Puedes declarar parámetros de path y request body al mismo tiempo.

/// warning | Achtung

Der empfohlene Weg, den *Startup* und *Shutdown* zu handhaben, ist die Verwendung des `lifespan`-Parameters der `FastAPI`-App, wie oben beschrieben. Wenn Sie einen `lifespan`-Parameter übergeben, werden die `startup`- und `shutdown`-Eventhandler nicht mehr aufgerufen. Es ist entweder alles `lifespan` oder alles Events, nicht beides.

                [FastAPI docs for Query Parameters and String Validations](https://fastapi.tiangolo.com/tutorial/query-params-str-validations/#exclude-parameters-from-openapi).
                """
            ),
        ] = True,
        swagger_ui_parameters: Annotated[
            dict[str, Any] | None,
            Doc(
                """
                Parameters to configure Swagger UI, the autogenerated interactive API