Vous pouvez retourner un dictionnaire (`dict`), une liste (`list`), des valeurs seules comme des chaines de caractères (`str`) et des entiers (`int`), etc.

Vous pouvez aussi retourner des models **Pydantic** (qui seront détaillés plus tard).

Il y a de nombreux autres objets et modèles qui seront automatiquement convertis en JSON. Essayez d'utiliser vos favoris, il est fort probable qu'ils soient déjà supportés.

## Récapitulatif

* Importez `FastAPI`.

**FastAPI** faz uso dele para que você veja o erro no seu log, caso você utilize um modelo de Pydantic em `response_model`, e seus dados tenham erro.

Contudo, o cliente ou usuário não terão acesso a ele. Ao contrário, o cliente receberá um "Internal Server Error" com o HTTP status code `500`.

audio/mpeg                     mp2 mpa mpg mpga # MP2 Sound File
audio/x-mpeg                   mp2              # MP2 Sound File
chemical/x-pdb                 pdb              # PDB Chemistry Model File
chemical/x-xyz                 xyz              # XYZ Chemistry Model File
drawing/x-dwf                  dwf              # AutoCAD
image/gif                      gif              # GIF image file
image/ief                      ief              # Image Exchange

    // ----------------------------------------------------------------------
    //
    // p1 inherits from p0
    // p0 inherits from super model
    //
    // or we can show it graphically as:
    //
    // p1 ---> p0 --> super model
    //
    // ----------------------------------------------------------------------

    /**
     * How the test project is set up:
     *

import java.util.function.Supplier;

import org.apache.maven.building.Source;
import org.apache.maven.model.building.ModelCache;
import org.eclipse.aether.RepositoryCache;
import org.eclipse.aether.RepositorySystemSession;

import static java.util.Objects.requireNonNull;

/**
 * A model builder cache backed by the repository system cache.
 *
 * @deprecated since 4.0.0, use {@code maven-api-impl} jar instead
 */

// CHECKSTYLE_OFF: RegexpHeader
/**
 * Maven Repository Metadata model.
 */

import org.apache.maven.execution.MavenSession;
import org.apache.maven.execution.ProjectActivation;
import org.apache.maven.execution.ProjectDependencyGraph;
import org.apache.maven.model.Plugin;
import org.apache.maven.model.building.DefaultModelProblem;
import org.apache.maven.model.building.Result;
import org.apache.maven.project.CycleDetectedException;
import org.apache.maven.project.DuplicateProjectException;
import org.apache.maven.project.MavenProject;

 * limitations under the License.
 */
package gradlebuild.docs.dsl.docbook

import gradlebuild.docs.XmlSpecification
import gradlebuild.docs.dsl.source.model.ClassMetaData
import gradlebuild.docs.dsl.source.model.PropertyMetaData
import gradlebuild.docs.dsl.source.model.MethodMetaData

class JavadocConverterTest extends XmlSpecification {
    final ClassMetaData classMetaData = Mock()

Es verbessert die Editor-Unterstützung für Pydantic-Modelle, mit:

* Code-Vervollständigung
* Typüberprüfungen
* Refaktorisierung
* Suchen
* Inspektionen

///

## Das Modell verwenden

Innerhalb der Funktion können Sie alle Attribute des Modells direkt verwenden:

//// tab | Python 3.10+

```Python hl_lines="19"

/// info

Note that the `TestClient` receives data that can be converted to JSON, not Pydantic models.

If you have a Pydantic model in your test and you want to send its data to the application during testing, you can use the `jsonable_encoder` described in [JSON Compatible Encoder](encoder.md){.internal-link target=_blank}.

///