app = FastAPI()


@app.get("/valid1", responses={"500": {"model": int}})
def valid1():
    pass


@app.get("/valid2", responses={"500": {"model": List[int]}})
def valid2():
    pass


@app.get("/valid3", responses={"500": {"model": Model}})
def valid3():
    pass


@app.get("/valid4", responses={"500": {"model": List[Model]}})
def valid4():
    pass


client = TestClient(app)

}

// Checks bucket and object name validity, returns nil if both are valid.
func checkBucketAndObjectNames(ctx context.Context, bucket, object string) error {
	// Verify if bucket is valid.
	if !isMinioMetaBucketName(bucket) && s3utils.CheckValidBucketNameStrict(bucket) != nil {
		return BucketNameInvalid{Bucket: bucket}
	}
	// Verify if object is valid.
	if len(object) == 0 {

* Valide les **structures complexes**:
    * Utilise les modèles hiérarchique de Pydantic, le `typage` Python pour les `Lists`, `Dict`, etc.
    * Et les validateurs permettent aux schémas de données complexes d'être clairement et facilement définis, validés et documentés sous forme d'un schéma JSON.

	if objInfo.DeleteMarker {
		return false
	}

	lhold := objectlock.GetObjectLegalHoldMeta(objInfo.UserDefined)
	if lhold.Status.Valid() && lhold.Status == objectlock.LegalHoldOn {
		return true
	}

	ret := objectlock.GetObjectRetentionMeta(objInfo.UserDefined)
	if ret.Mode.Valid() && (ret.Mode == objectlock.RetCompliance || ret.Mode == objectlock.RetGovernance) {
		t, err := objectlock.UTCNowNTP()
		if err != nil {

          ),
        )

      return result
    }

    private fun validity(): Validity {
      val notBefore = if (notBefore != -1L) notBefore else System.currentTimeMillis()
      val notAfter = if (notAfter != -1L) notAfter else notBefore + DEFAULT_DURATION_MILLIS
      return Validity(
        notBefore = notBefore,
        notAfter = notAfter,
      )
    }

  // ExpirationSeconds is the requested duration of validity of the request. The
  // token issuer may return a token with a different validity duration so a
  // client needs to check the 'expiration' field in a response.
  // +optional
  optional int64 expirationSeconds = 4;

  // BoundObjectRef is a reference to an object that the token will be bound to.
  // The token will only be valid for as long as the bound object exists.

	}

	// If a file we are watching has a change event, yield and let caller check validity
	select {
	case <-watcher.Events:
		// Something changed, and we must yield
		return nil
	case err := <-watcher.Errors:
		// We had a watch error - that's no good
		return err
	case <-ctx.Done():
		return ctx.Err()
	default:
		// Valid configuration; set isReady to true and wait for modifications before checking again

		}
		return bindDN, nil
	}

	// Since the username parses as a valid DN, check that it exists and is
	// under a configured base DN in the LDAP directory.
	validDN, isUnderBaseDN, err := l.GetValidatedUserDN(conn, username)
	if err == nil && !isUnderBaseDN {
		// Not under any configured base DN, so treat as not found.
		return nil, nil
	}
	return validDN, err
}

```

A string será verificada para se tornar uma URL válida e documentada no esquema JSON/1OpenAPI como tal.

## Atributos como listas de submodelos

Você também pode usar modelos Pydantic como subtipos de `list`, `set`, etc:

```Python hl_lines="20"
{!../../docs_src/body_nested_models/tutorial006.py!}
```

Isso vai esperar(converter, validar, documentar, etc) um corpo JSON tal qual:

```JSON hl_lines="11"

```Python
q: Union[str, None] = Query(default=None, max_length=50)
```

Cela va valider les données, montrer une erreur claire si ces dernières ne sont pas valides, et documenter le paramètre dans le schéma `OpenAPI` de cette *path operation*.

## Rajouter plus de validation

Vous pouvez aussi rajouter un second paramètre `min_length` :