# Модели Header-параметров { #header-parameter-models }

Если у вас есть группа связанных **header-параметров**, то вы можете объединить их в одну **Pydantic-модель**.

Это позволит вам **переиспользовать модель** в **разных местах**, а также задать валидацию и метаданные сразу для всех параметров. 😎

/// note | Заметка

Этот функционал доступен в FastAPI начиная с версии `0.115.0`. 🤓

///

            if (properties != null) {
                // We will attempt to get nab a property as a way to specify a parameter
                // to a plugin. My particular case here is allowing the surefire plugin
                // to run a single test so I want to specify that class on the cli as
                // a parameter.

                value = properties.getProperty(expression);
            }

It could be called as:

```Python
oauth2_scheme(some, parameters)
```

So, it can be used with `Depends`.

### Use it { #use-it }

Now you can pass that `oauth2_scheme` in a dependency with `Depends`.

{* ../../docs_src/security/tutorial001_an_py39.py hl[12] *}

This dependency will provide a `str` that is assigned to the parameter `token` of the *path operation function*.

    public void add(final String name, final ScriptEngine scriptEngine) {
        if (name == null || scriptEngine == null) {
            throw new IllegalArgumentException(
                    "Both name and scriptEngine parameters are required. name: " + name + ", scriptEngine: " + scriptEngine);
        }
        if (logger.isDebugEnabled()) {
            logger.debug("Loaded ScriptEngine: {}", name);
        }

        try {
            final RequestParameter parameter = RequestParameter.parse(request);
            final String[] langs = searchHelper.getLanguages(request, parameter);

            final SuggestHelper suggestHelper = ComponentUtil.getSuggestHelper();
            final SuggestRequestBuilder builder = suggestHelper.suggester().suggest();
            builder.setQuery(parameter.getQuery());

## API Request Parameters

### Version

     * 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

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.

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 }

                [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[
            Optional[dict[str, Any]],
            Doc(
                """
                Parameters to configure Swagger UI, the autogenerated interactive API