type serverConfigV33 struct {
	quick.Config `json:"-"` // ignore interfaces

	Version string `json:"version"`

	// S3 API configuration.
	Credential auth.Credentials `json:"credential"`
	Region     string           `json:"region"`
	Worm       config.BoolFlag  `json:"worm"`

	// Storage class configuration
	StorageClass storageclass.Config `json:"storageclass"`

	// Notification queue configuration.

///

### JSON Schema's `examples` field { #json-schemas-examples-field }

But then JSON Schema added an <a href="https://json-schema.org/draft/2019-09/json-schema-validation.html#rfc.section.9.5" class="external-link" target="_blank">`examples`</a> field to a new version of the specification.

And then the new OpenAPI 3.1.0 was based on the latest version (JSON Schema 2020-12) that included this new field `examples`.

# JSON Compatible Encoder { #json-compatible-encoder }

There are some cases where you might need to convert a data type (like a Pydantic model) to something compatible with JSON (like a `dict`, `list`, etc).

For example, if you need to store it in a database.

For that, **FastAPI** provides a `jsonable_encoder()` function.

## Using the `jsonable_encoder` { #using-the-jsonable-encoder }

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

Neste exemplo, ele converteria o modelo Pydantic em um `dict`, e o `datetime` em um `str`.

O resultado de chamar a função é algo que pode ser codificado com o padrão do Python <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.

///

### `UJSONResponse`

Un response JSON alternativo usando <a href="https://github.com/ultrajson/ultrajson" class="external-link" target="_blank">`ujson`</a>.

/// info | Información

Esto requiere instalar `ujson`, por ejemplo, con `pip install ujson`.

///

/// warning | Advertencia

Et vous pouvez le faire même si le type de données dans la requête n'est pas au format JSON.

Dans cet exemple, nous n'utilisons pas les fonctionnalités de FastAPI pour extraire le schéma JSON des modèles Pydantic ni la validation automatique pour JSON. En fait, nous déclarons le type de contenu de la requête en tant que YAML, et non JSON :

{* ../../docs_src/path_operation_advanced_configuration/tutorial007.py hl[17:22,24] *}

Refer to the dashboard [json file here](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/minio-dashboard.json).

![Grafana](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/grafana-minio.png)

	// Total number of failed operations
	FailedCount int64 `json:"failedReplicationCount"  msg:"frc"`
	// Completed size in bytes
	ReplicatedSize int64 `json:"completedReplicationSize"  msg:"rs"`
	// Total number of failed operations
	ReplicatedCount int64 `json:"replicationCount"  msg:"rrc"`
	// Last bucket/object replicated.
	Bucket string `json:"-" msg:"bkt"`
	Object string `json:"-" msg:"obj"`

				}
				drive := pool.Endpoints[i*setDriveCount+j]
				fmtBytes, err := json.Marshal(newFormat)
				if err != nil {
					//nolint:gocritic
					log.Fatalf("failed to marshal format.json for %s: %v", drive.String(), err)
				}
				fmtJSON := filepath.Join(drive.Host, drive.Path, minioMetaBucket, "format.json")
				embedFileInZip(fmtZipW, fmtJSON, fmtBytes, 0o600)
			}
		}
	}

Тогда, подразумеваются атрибуты JSON, их типы данных и т.п.

#### OpenAPI и JSON Schema

OpenAPI описывает схему API. Эта схема содержит определения (или "схемы") данных, отправляемых и получаемых API. Для описания структуры данных в JSON используется стандарт **JSON Schema**.

#### Рассмотрим `openapi.json`