////

/// info | Información

En la versión 1 de Pydantic el método para obtener el JSON Schema para un modelo se llamaba `Item.schema()`, en la versión 2 de Pydantic, el método se llama `Item.model_json_schema()`.

///

Sin embargo, aunque no estamos usando la funcionalidad integrada por defecto, aún estamos usando un modelo Pydantic para generar manualmente el JSON Schema para los datos que queremos recibir en YAML.

////

/// info | Informação

Na versão 1 do Pydantic, o método para obter o JSON Schema de um modelo é `Item.schema()`, na versão 2 do Pydantic, o método é `Item.model_json_schema()`.

///

Entretanto, mesmo que não utilizemos a funcionalidade integrada por padrão, ainda estamos usando um modelo Pydantic para gerar um JSON Schema manualmente para os dados que queremos receber no formato YAML.

  <groupId>com.example.group</groupId>
  <artifactId>testvalidpom</artifactId>
  <version>0.0.1-SNAPSHOT</version>

  <description>
    This will test if the module validator recognized that this dependency with classifier
    is not the same as the module itself.
  </description>
  <dependencies>
    <dependency>
      <groupId>com.example.group</groupId>
      <artifactId>testvalidpom</artifactId>

  <groupId>com.example.group</groupId>
  <artifactId>testinvalidpom</artifactId>
  <version>0.0.1-SNAPSHOT</version>

  <description>
    This will test if the module validator recognized that this
    dependency is the same as the module itself.
  </description>
  <dependencies>
    <dependency>
      <groupId>com.example.group</groupId>
      <artifactId>testinvalidpom</artifactId>

## Other models { #other-models }

You can now get the current user directly in the *path operation functions* and deal with the security mechanisms at the **Dependency Injection** level, using `Depends`.

And you can use any model or data for the security requirements (in this case, a Pydantic model `User`).

But you are not restricted to using some specific data model, class or type.

Disons que vous avez seulement un paramètre `item` dans le body, correspondant à un modèle Pydantic `Item`.

Par défaut, **FastAPI** attendra sa déclaration directement dans le body.

Does nothing. false true false false false true generate-sources org.apache.maven.plugin.coreit.CMojo java per-lookup once-per-session models java.lang.String[] false true version java.lang.String false true ${version} xpp3-writer Does nothing. false true false false false true generate-sources org.apache.maven.plugin.coreit.BMojo java per-lookup once-per-session models java.lang.String[] false true version java.lang.String false true ${version} org.apache.maven maven-plugin-api jar 2.0 org/apache/m...

<span style="color: green;">INFO</span>:     Application startup complete.
```

</div>

/// note

La commande `uvicorn main:app` fait référence à :

* `main` : le fichier `main.py` (le module Python).
* `app` : l'objet créé dans `main.py` via la ligne `app = FastAPI()`.
* `--reload` : l'option disant à uvicorn de redémarrer le serveur à chaque changement du code. À ne pas utiliser en production !

///

    boolean isResolveDependencies();

    /**
     * Controls the level of validation to perform on processed models. By default, models are validated in strict mode.
     *
     * @param validationLevel The level of validation to perform on processed models, e.g.
     *            {@link org.apache.maven.model.building.ModelBuildingRequest#VALIDATION_LEVEL_STRICT}.
     * @return This configuration, never {@code null}.
     */

<module>
<source path="">
  <!-- Hack to keep collect from hiding collect.testing supersource: -->
  <exclude name="**/testing/**"/>
</source>

<!--
    We used to set this only for packages that had manual supersource. That
    worked everywhere that I know of except for one place: when running the GWT
    util.concurrent tests under Guava.

    The problem is that GWT responds poorly to two .gwt.xml files in the same
    Java package; see