// Default constructor
    }

    /**
     * The logger.
     */
    protected Logger logger = null;

    /**
     * The logger name.
     */
    protected String loggerName = "fess.log.audit";

    /**
     * The permission separator.
     */
    protected String permissionSeparator = "|";

    /**
     * The flag to use ECS format.
     */
    protected boolean useEcsFormat = false;

¿Quieres tener un `id` y `email` y no tener un `username` en tu modelo? Claro. Puedes usar estas mismas herramientas.

¿Quieres solo tener un `str`? ¿O solo un `dict`? ¿O un instance de clase modelo de base de datos directamente? Todo funciona de la misma manera.

        return redirect(getClass());
    }

    //===================================================================================
    //                                                                       Assist Logic
    //                                                                       ============
    private static OptionalEntity<User> getEntity(final CreateForm form) {
        switch (form.crudMode) {

        return redirect(getClass());
    }

    //===================================================================================
    //                                                                        Assist Logic
    //                                                                        ============
    /**
     * Retrieves or creates a WebAuthentication entity based on the form's CRUD mode.
     *

    To disable TLS fallback:

    ```java
    client.setConnectionSpecs(Arrays.asList(
        ConnectionSpec.MODERN_TLS, ConnectionSpec.CLEARTEXT));
    ```

    To disable cleartext connections, permitting `https` URLs only:

    ```java
    client.setConnectionSpecs(Arrays.asList(
        ConnectionSpec.MODERN_TLS, ConnectionSpec.COMPATIBLE_TLS));
    ```

すべての属性にpython標準の型を使用します:

{* ../../docs_src/body/tutorial001.py hl[7:11] *}

クエリパラメータの宣言と同様に、モデル属性がデフォルト値をもつとき、必須な属性ではなくなります。それ以外は必須になります。オプショナルな属性にしたい場合は `None` を使用してください。

例えば、上記のモデルは以下の様なJSON「`オブジェクト`」(もしくはPythonの `dict` ) を宣言しています:

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,
    "tax": 3.5
}
```

Der `scopes`-Parameter erhält ein <abbr title="Dictionary – Zuordnungstabelle: In anderen Sprachen auch Hash, Map, Objekt, Assoziatives Array genannt">`dict`</abbr> mit jedem Scope als Schlüssel und dessen Beschreibung als Wert:

{* ../../docs_src/security/tutorial005_an_py310.py hl[63:66] *}

		if _, err := xnet.ParseHost(b.String()); err != nil {
			return err
		}
	}
	return nil
}

// Name returns the name of the target
func (h *Target) Name() string {
	return "minio-kafka-audit"
}

// Endpoint - return kafka target
func (h *Target) Endpoint() string {
	return "kafka"
}

// String - kafka string
func (h *Target) String() string {
	return "kafka"
}

            effectiveFilter = new ExclusionArtifactFilter(dependency.getExclusions());

            if (inheritedFilter != null) {
                effectiveFilter = new AndArtifactFilter(Arrays.asList(inheritedFilter, effectiveFilter));
            }
        }

        return effectiveFilter;
    }

    @Override
    public List<ArtifactVersion> retrieveAvailableVersions(

Na versão 1 do Pydantic a configuração era feita em uma classe interna `Config`, na versão 2 do Pydantic é feita em um atributo `model_config`. Esse atributo recebe um `dict`, e para ter autocompletar e erros inline você pode importar e usar `SettingsConfigDict` para definir esse `dict`.

///

Aqui definimos a configuração `env_file` dentro da sua classe `Settings` do Pydantic e definimos o valor como o nome do arquivo dotenv que queremos usar.