Und es wird entsprechend annotiert/dokumentiert.

## Verschachtelte Modelle

Jedes Attribut eines Pydantic-Modells hat einen Typ.

Aber dieser Typ kann selbst ein anderes Pydantic-Modell sein.

Sie können also tief verschachtelte JSON-„Objekte“ deklarieren, mit spezifischen Attributnamen, -typen, und -validierungen.

Alles das beliebig tief verschachtelt.

		RequestID:    reqID,
		RemoteHost:   handlers.GetSourceIP(r),
		Host:         getHostName(r),
		UserAgent:    r.UserAgent(),
		API:          api,
		BucketName:   bucket,
		ObjectName:   object,
		VersionID:    strings.TrimSpace(r.Form.Get(xhttp.VersionID)),
	}

	return logger.SetReqInfo(r.Context(), reqInfo)
}

    return new Builder<>();
  }

  /**
   * A builder for creating immutable class-to-instance maps. Example:
   *
   * <pre>{@code
   * static final ImmutableClassToInstanceMap<Handler> HANDLERS =
   *     new ImmutableClassToInstanceMap.Builder<Handler>()
   *         .put(FooHandler.class, new FooHandler())
   *         .put(BarHandler.class, new SubBarHandler())
   *         .put(Handler.class, new QuuxHandler())

	return globalObjectAPI
}

func setObjectLayer(o ObjectLayer) {
	globalObjLayerMutex.Lock()
	globalObjectAPI = o
	globalObjLayerMutex.Unlock()
}

// objectAPIHandlers implements and provides http handlers for S3 API.
type objectAPIHandlers struct {
	ObjectAPI func() ObjectLayer
}

// getHost tries its best to return the request host.
// According to section 14.23 of RFC 2616 the Host header

func (h hFlag) Has(flag hFlag) bool {
	// Use bitwise-AND and check if the result is non-zero.
	return h&flag != 0
}

// adminMiddleware performs some common admin handler functionality for all
// handlers:
//
// - updates request context with `logger.ReqInfo` and api name based on the
// name of the function handler passed (this handler must be a method of
// `adminAPIHandlers`).
//
// - sets up call to send AuditLog

        }
      };

  @Override
  protected final void tearDown() {
    tearDownStack.runTearDown();
    assertNull(
        "exceptions should not be propagated to uncaught exception handlers",
        thrownByExecutionThread);
  }

  public void testServiceStartStop() throws Exception {
    WaitOnRunService service = new WaitOnRunService();
    assertFalse(service.startUpCalled);

## Example Lambda handler

Install the necessary dependencies.
```sh
pip install flask requests
```

Following is an example lambda handler.
```py

	// There is no need to use an existing bucket and valid input for creating the request
	// since the `objectLayer==nil`  check is performed before any other checks inside the handlers.
	// The only aim is to generate an HTTP request in a way that the relevant/registered end point is evoked/called.
	nilBucket := "dummy-bucket"

	for testNum, test := range tests {
		t.Run(fmt.Sprintf("%d %s", testNum+1, test.name), func(t *testing.T) {
			execKMSTest(t, test, adminTestBed)
		})
	}
}

// execKMSTest runs a single test case for KMS handlers
func execKMSTest(t *testing.T, test kmsTestCase, adminTestBed *adminErasureTestBed) {
	var accessKey, secretKey string
	if test.asRoot {
		accessKey, secretKey = globalActiveCred.AccessKey, globalActiveCred.SecretKey

```Python hl_lines="27"
{!> ../../docs_src/body_multiple_params/tutorial004.py!}
```

////

/// info

`Body` hat die gleichen zusätzlichen Validierungs- und Metadaten-Parameter wie `Query` und `Path` und andere, die Sie später kennenlernen.

///

## Einen einzelnen Body-Parameter einbetten

Nehmen wir an, Sie haben nur einen einzelnen `item`-Body-Parameter, ein Pydantic-Modell `Item`.