counter++
        }

        //updating/modifying the metadata and making sure every type reference across the metadata is fully qualified
        //so, the superClassName, interfaces and types needed by declared properties and declared methods will have fully qualified name
        TypeNameResolver resolver = new TypeNameResolver(repository)
        repository.each { name, metaData ->
            fullyQualifyAllTypeNames(metaData, resolver)

# you may need to define a router file `my.application.routes`.
# Default to Routes in the root package (and `conf/routes`)
# application.router=my.application.Routes

# Database configuration
# ~~~~~
# You can declare as many datasources as you want.
# By convention, the default datasource is named `default`
#
# db.default.driver=org.h2.Driver
# db.default.url="jdbc:h2:mem:play"
# db.default.user=sa
# db.default.password=""
#

E se você declarar um `response_model`, ele ainda será utilizado para filtrar e converter o objeto que você retornou.

O **FastAPI** utilizará este retorno *temporal* para extrair o código de status (e também cookies e headers), e irá colocá-los no retorno final que contém o valor que você retornou, filtrado por qualquer `response_model`.

# Background Tasks - `BackgroundTasks`

You can declare a parameter in a *path operation function* or dependency function with the type `BackgroundTasks`, and then you can use it to schedule the execution of background tasks after the response is sent.

You can import it directly from `fastapi`:

```python
from fastapi import BackgroundTasks
```

///

/// note | "Nota"

Isto é suportado desde a versão `0.113.0` do FastAPI. 🤓

///

## Modelos Pydantic para Formulários

Você precisa apenas declarar um **modelo Pydantic** com os campos que deseja receber como **campos de formulários**, e então declarar o parâmetro como um `Form`:

//// tab | Python 3.9+

```Python hl_lines="9-11  15"
{!> ../../docs_src/request_form_models/tutorial001_an_py39.py!}
```

////

## Múltiplos parâmetros de rota e consulta

Você pode declarar múltiplos parâmetros de rota e parâmetros de consulta ao mesmo tempo, o **FastAPI** vai saber o quê é o quê.

E você não precisa declarar eles em nenhuma ordem específica.

Eles serão detectados pelo nome:

//// tab | Python 3.10+

```Python hl_lines="6  8"

     * and signature declared in a public superclass or implemented interface of this
     * method's declaring class. This counterpart method is publicly callable.
     *
     * @param method a method whose publicly callable counterpart is requested.
     * @return the publicly callable counterpart method. Note that if the parameter
     *         method is itself declared by a public class, this method is an identity

Next it will convert and validate the data. So, when you use that `settings` object, you will have data of the types you declared (e.g. `items_per_user` will be an `int`).

### Use the `settings`

Then you can use the new `settings` object in your application:

```Python hl_lines="18-20"
{!../../docs_src/settings/tutorial001.py!}
```

# `Request` class

You can declare a parameter in a *path operation function* or dependency to be of type `Request` and then you can access the raw request object directly, without any validation, etc.

You can import it directly from `fastapi`:

```python
from fastapi import Request
```

/// tip

          // Since this is an artificially generated type variable, we don't bother checking
          // subtyping between declared type bound and actual type bound. So it's possible that we
          // may generate something like <capture#1-of ? extends Foo&SubFoo>.
          // Checking subtype between declared and actual type bounds
          // adds recursive isSubtypeOf() call and feels complicated.