<img src="/img/tutorial/body/image01.png">

And will also be used in the API docs inside each *path operation* that needs them:

<img src="/img/tutorial/body/image02.png">

## Editor support { #editor-support }

In your editor, inside your function you will get type hints and completion everywhere (this wouldn't happen if you received a `dict` instead of a Pydantic model):

<img src="/img/tutorial/body/image03.png">

 *
 * <p>Strategies work with domtrip Documents for perfect formatting preservation.
 * Individual strategies can create domtrip Editors from Documents as needed:
 * <pre>
 * Editor editor = new Editor(document);
 * // ... perform domtrip operations ...
 * // Document is automatically updated
 * </pre>
 */
public interface UpgradeStrategy {

    /**

I tested several ideas in the most popular Python editors: PyCharm, VS Code, Jedi based editors.

By the last <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">Python Developer Survey</a>, that covers about 80% of the users.

<img src="/img/tutorial/body/image01.png">

Und werden auch in der API-Dokumentation innerhalb jeder *Pfadoperation*, die sie benötigt, verwendet:

<img src="/img/tutorial/body/image02.png">

## Editor-Unterstützung { #editor-support }

In Ihrem Editor erhalten Sie innerhalb Ihrer Funktion Typhinweise und Code-Vervollständigung überall (was nicht der Fall wäre, wenn Sie ein `dict` anstelle eines Pydantic-Modells erhalten hätten):

 * and reduces code duplication across strategy implementations.
 *
 * <p>Strategies work with domtrip Documents for perfect formatting preservation.
 * Subclasses can create domtrip Editors from Documents as needed:
 * <pre>
 * Editor editor = new Editor(document);
 * // ... perform domtrip operations ...
 * // Document is automatically updated
 * </pre>
 */
public abstract class AbstractUpgradeStrategy implements UpgradeStrategy {

You will rarely need to come back to the docs.

Here's how your editor might help you:

* in <a href="https://code.visualstudio.com/" class="external-link" target="_blank">Visual Studio Code</a>:

![editor support](https://fastapi.tiangolo.com/img/vscode-completion.png)

* in <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a>:

![editor support](https://fastapi.tiangolo.com/img/pycharm-completion.png)

{* ../../docs_src/body_nested_models/tutorial008_py39.py hl[13] *}

## Soporte de editor en todas partes { #editor-support-everywhere }

Y obtienes soporte de editor en todas partes.

Incluso para elementos dentro de listas:

<img src="/img/tutorial/body-nested-models/image01.png">

No podrías obtener este tipo de soporte de editor si estuvieras trabajando directamente con `dict` en lugar de modelos Pydantic.

Algunos editores revisan los parámetros de función no usados y los muestran como errores.

Usando estas `dependencies` en el decorador de *path operation* puedes asegurarte de que se ejecutan mientras evitas errores en editores/herramientas.

También puede ayudar a evitar confusiones para nuevos desarrolladores que vean un parámetro no usado en tu código y puedan pensar que es innecesario.

///

/// info | Información

/// tip

Some editors check for unused function parameters, and show them as errors.

Using these `dependencies` in the *path operation decorator* you can make sure they are executed while avoiding editor/tooling errors.

        Editor editor = new Editor(document);
        return editor.toXml();
    }

    /**
     * Removes an element from its parent.
     *
     * @param element the element to remove
     *
     */
    public static void removeElement(Element element) {
        Editor editor = new Editor(element.document());
        editor.removeElement(element);
    }

    /**