logger.debug("Add badword. {} badword: {}", arraySettings.arraySettingsIndexName, badWord);
        }

        final String validationError = getValidationError(badWord);
        if (validationError != null) {
            throw new IllegalArgumentException("Validation error. " + validationError);
        }
        arraySettings.add(BAD_WORD_SETTINGD_KEY, badWord);
    }

    /**
     * Delete a bad word.

                    "value": {
                        "title": "Value",
                        "type": "string"
                    }
                }
            },
            "ValidationError": {
                "title": "ValidationError",
                "required": [
                    "loc",
                    "msg",
                    "type"
                ],
                "type": "object",

```

#### `RequestValidationError` vs `ValidationError` { #requestvalidationerror-vs-validationerror }

/// warning

These are technical details that you might skip if it's not important for you now.

///

`RequestValidationError` is a sub-class of Pydantic's <a href="https://docs.pydantic.dev/latest/concepts/models/#error-handling" class="external-link" target="_blank">`ValidationError`</a>.

## Den `username` und das Format der Daten überprüfen

Wir verifizieren, dass wir einen `username` erhalten, und extrahieren die Scopes.

Und dann validieren wir diese Daten mit dem Pydantic-Modell (wobei wir die `ValidationError`-Exception abfangen), und wenn wir beim Lesen des JWT-Tokens oder beim Validieren der Daten mit Pydantic einen Fehler erhalten, lösen wir die zuvor erstellte `HTTPException` aus.

## Verify the `username` and data shape { #verify-the-username-and-data-shape }

We verify that we get a `username`, and extract the scopes.

And then we validate that data with the Pydantic model (catching the `ValidationError` exception), and if we get an error reading the JWT token or validating the data with Pydantic, we raise the `HTTPException` we created before.

For that, we update the Pydantic model `TokenData` with a new property `scopes`.

## Verifique o `username` e o formato dos dados

Nós verificamos que nós obtemos um `username`, e extraímos os escopos.

E depois nós validamos esse dado com o modelo Pydantic (capturando a exceção `ValidationError`), e se nós obtemos um erro ao ler o token JWT ou validando os dados com o Pydantic, nós levantamos a exceção `HTTPException` que criamos anteriormente.

{* ../../docs_src/security/tutorial005.py hl[105,107:115] *}

## ✔ `username` & 💽 💠

👥 ✔ 👈 👥 🤚 `username`, & ⚗ ↔.

& ⤴️ 👥 ✔ 👈 📊 ⏮️ Pydantic 🏷 (✊ `ValidationError` ⚠), & 🚥 👥 🤚 ❌ 👂 🥙 🤝 ⚖️ ⚖ 📊 ⏮️ Pydantic, 👥 🤚 `HTTPException` 👥 ✍ ⏭.

👈, 👥 ℹ Pydantic 🏷 `TokenData` ⏮️ 🆕 🏠 `scopes`.

## Verificar el `username` y la forma de los datos

Verificamos que obtenemos un `username`, y extraemos los scopes.

Y luego validamos esos datos con el modelo de Pydantic (capturando la excepción `ValidationError`), y si obtenemos un error leyendo el token JWT o validando los datos con Pydantic, lanzamos la `HTTPException` que creamos antes.

Para eso, actualizamos el modelo de Pydantic `TokenData` con una nueva propiedad `scopes`.

### Fixes

* ✅ Fix new/recent tests with new fixed `ValidationError` JSON Schema. PR [#4806](https://github.com/tiangolo/fastapi/pull/4806) by [@tiangolo](https://github.com/tiangolo).
* 🐛 Fix JSON Schema for `ValidationError` at field `loc`. PR [#3810](https://github.com/tiangolo/fastapi/pull/3810) by [@dconathan](https://github.com/dconathan).