Sebastián Ramírez <******@****.***> 1731896744 +0100

timothy <******@****.***> 1748612313 +0900

        <artifactId>modello-maven-plugin</artifactId>
        <version>1.0.1</version>
        <configuration>
          <version>1.1.0</version>
          <models>
            <model>src/main/mdo/remote-resources.mdo</model>
          </models>
        </configuration>
      </plugin>
    </plugins>
  </build>

          <basedir>${project.basedir}/../../api/maven-api-model</basedir>
          <velocityBasedir>${project.basedir}/../../src/mdo</velocityBasedir>
          <version>4.1.0</version>
          <models>
            <model>src/main/mdo/maven.mdo</model>
          </models>
          <params>
            <param>forcedIOModelVersion=4.0.0</param>
            <param>packageModelV3=org.apache.maven.model</param>

## Use Case { #use-case }

Let's start with an example **use case** and then see how to solve it with this.

Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖

The same models are shared among requests, so, it's not one model per request, or one per user or something similar.

 * under the License.
 */
package org.apache.maven.model.normalization;

import org.apache.maven.model.Model;
import org.apache.maven.model.building.ModelBuildingRequest;
import org.apache.maven.model.building.ModelProblemCollector;

/**
 * Handles normalization of a model. In this context, normalization is the process of producing a canonical
 * representation for models that physically look different but are semantically equivalent.
 *

 */
package org.apache.maven.model.superpom;

import org.apache.maven.model.Model;

/**
 * Provides the super POM that all models implicitly inherit from.
 *
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
public interface SuperPomProvider {

    /**

        <artifactId>modello-maven-plugin</artifactId>
        <configuration>
          <version>1.2.0</version>
          <models>
            <model>src/main/mdo/core-extensions.mdo</model>
          </models>
          <templates>
            <template>model.vm</template>
          </templates>
          <params>
            <param>locationTracking=true</param>

**FastAPI** prendra ce modèle, générera son schéma JSON et l'inclura au bon endroit dans OpenAPI.

Par exemple, pour déclarer une autre réponse avec un code HTTP `404` et un modèle Pydantic `Message`, vous pouvez écrire :

{* ../../docs_src/additional_responses/tutorial001.py hl[18,22] *}

/// note | Remarque

Gardez à l'esprit que vous devez renvoyer directement `JSONResponse`.

///

/// info

La clé `model` ne fait pas partie d'OpenAPI.

* 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.