//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

* Recuperar los datos almacenados.
* Poner esos datos en un modelo de Pydantic.
* Generar un `dict` sin valores por defecto del modelo de entrada (usando `exclude_unset`).
    * De esta manera puedes actualizar solo los valores realmente establecidos por el usuario, en lugar de sobrescribir valores ya almacenados con valores por defecto en tu modelo.

 * reasonable and it will be fine.
 *
 * <ul>
 *   <li>If checking whether the <i>caller</i> has violated your method or constructor's contract
 *       (such as by passing an invalid argument), use the utilities of the {@link Preconditions}
 *       class instead.
 *   <li>If checking an <i>impossible</i> condition (which <i>cannot</i> happen unless your own
 *       class or its <i>trusted</i> dependencies is badly broken), this is what ordinary Java

The same example from above, returning an `HTMLResponse`, could look like:

{* ../../docs_src/custom_response/tutorial003_py39.py hl[2,7,19] *}

/// warning

          do not modify the License. You may add Your own attribution
          notices within Derivative Works that You distribute, alongside
          or as an addendum to the NOTICE text from the Work, provided
          that such additional attribution notices cannot be construed
          as modifying the License.

      You may add Your own copyright statement to Your modifications and

/// tip

First try with `bump-pydantic`, if your tests pass and that works, then you're done in one command. ✨

///

If `bump-pydantic` doesn't work for your use case, you can use the support for both Pydantic v1 and v2 models in the same app to do the migration to Pydantic v2 gradually.

You could fist upgrade Pydantic to use the latest version 2, and change the imports to use `pydantic.v1` for all your models.

## Headers reenviados por el Proxy { #proxy-forwarded-headers }

Un **proxy** delante de tu aplicación normalmente establecería algunos headers sobre la marcha antes de enviar los requests a tu **server** para que el servidor sepa que el request fue **reenviado** por el proxy, informándole la URL original (pública), incluyendo el dominio, que está usando HTTPS, etc.

 * map.put(new Object(), Boolean.TRUE);
 * GcFinalization.awaitDone(new FinalizationPredicate() {
 *   public boolean isDone() {
 *     return map.isEmpty();
 *   }
 * });
 * }
 *
 * <p>Even if your non-test code does not use finalization, you can use this class to test for
 * leaks, by ensuring that objects are no longer strongly referenced:
 *
 * {@snippet :
 * // Helper function keeps victim stack-unreachable.

Pero al revisar benchmarks y comparaciones, debes tener en cuenta lo siguiente.

## Benchmarks y velocidad { #benchmarks-and-speed }

### Use the `app.dependency_overrides` attribute { #use-the-app-dependency-overrides-attribute }

For these cases, your **FastAPI** application has an attribute `app.dependency_overrides`, it is a simple `dict`.

To override a dependency for testing, you put as a key the original dependency (a function), and as the value, your dependency override (another function).