CleanAbandonedData(ctx context.Context, volume string, path string) error

	// Write all data, syncs the data to disk.
	// Should be used for smaller payloads.
	WriteAll(ctx context.Context, volume string, path string, b []byte) (err error)

	// Read all.
	ReadAll(ctx context.Context, volume string, path string) (buf []byte, err error)

Then we use the request directly, and extract the body as `bytes`. This means that FastAPI won't even try to parse the request payload as JSON.

And then in our code, we parse that YAML content directly, and then we are again using the same Pydantic model to validate the YAML content:

func (store *QueueStore[I]) Get(key Key) (item I, err error) {
	items, err := store.GetMultiple(key)
	if err != nil {
		return item, err
	}
	return items[0], nil
}

// GetMultiple will read the multi payload file and fetch the items
func (store *QueueStore[I]) GetMultiple(key Key) (items []I, err error) {
	raw, err := store.GetRaw(key)
	if err != nil {
		return nil, err
	}

	ctx, cancel := context.WithCancel(ctx)
	h.storeCtxCancel = cancel
	h.lastStarted = time.Now()
	go h.startQueueProcessor(ctx, true)
	return nil
}

func (h *Target) send(ctx context.Context, payload []byte, payloadCount int, payloadType string, timeout time.Duration) (err error) {
	defer func() {
		if err != nil {
			if xnet.IsNetworkOrHostDown(err, false) {
				h.status.Store(statusOffline)
			}

 * thrown and no [WebSocketListener.onFailure] callback is triggered, so callers should always check
 * the return value of `send()`.
 *
 * Use [queueSize] to monitor backpressure before sending. For large payloads, consider breaking
 * them into smaller messages or using HTTP requests instead.
 */
interface WebSocket {
  /** Returns the original request that initiated this web socket. */
  fun request(): Request

  /**

Dann verwenden wir den Request direkt und extrahieren den Body als `bytes`. Das bedeutet, dass FastAPI nicht einmal versucht, die Request-Payload als JSON zu parsen.

Und dann parsen wir in unserem Code diesen YAML-Inhalt direkt und verwenden dann wieder dasselbe Pydantic-Modell, um den YAML-Inhalt zu validieren:

        SMBProtocolDecodingException exception =
                assertThrows(SMBProtocolDecodingException.class, () -> smallResponse.readDataWireFormat(buffer, 0, 10));

        assertEquals("Payload exceeds buffer size", exception.getMessage());
    }

    @ParameterizedTest
    @ValueSource(ints = { 1, 10, 100, 500, 1024 })

Ensuite, nous utilisons directement la requête et extrayons le corps en tant que `bytes`. Cela signifie que FastAPI n’essaiera même pas d’analyser le payload de la requête en JSON.

Ensuite, dans notre code, nous analysons directement ce contenu YAML, puis nous utilisons à nouveau le même modèle Pydantic pour valider le contenu YAML :

> - [**AD/LDAP**](https://github.com/minio/minio/blob/master/docs/sts/ldap.md)

	UploadID = "uploadId"
)

// http headers sent to webhook targets
const (
	// Reports the version of MinIO server
	MinIOVersion             = "x-minio-version"
	WebhookEventPayloadCount = "x-minio-webhook-payload-count"