public void CreateMLModelMarshallTest()
{
var request = InstantiateClassGenerator.Execute <CreateMLModelRequest>();
var marshaller = new CreateMLModelRequestMarshaller();
var internalRequest = marshaller.Marshall(request);
var jsonRequest = UTF8Encoding.UTF8.GetString(internalRequest.Content);
Comparer.CompareObjectToJson <CreateMLModelRequest>(request, jsonRequest);
var webResponse = new WebResponseData
{
Headers =
{
{ "x-amzn-RequestId", Guid.NewGuid().ToString() },
{ "x-amz-crc32", "0" }
}
};
var jsonResponse = new JsonSampleGenerator(service_model, service_model.FindOperation("CreateMLModel").ResponseStructure).Execute();
webResponse.Headers.Add("Content-Length", UTF8Encoding.UTF8.GetBytes(jsonResponse).Length.ToString());
UnmarshallerContext context = new JsonUnmarshallerContext(Utils.CreateStreamFromString(jsonResponse), false, webResponse);
var response = CreateMLModelResponseUnmarshaller.Instance.Unmarshall(context)
as CreateMLModelResponse;
InstantiateClassGenerator.ValidateObjectFullyInstantiated(response);
}
/// <summary>
/// Initiates the asynchronous execution of the CreateMLModel operation.
/// </summary>
///
/// <param name="request">Container for the necessary parameters to execute the CreateMLModel operation.</param>
/// <param name="cancellationToken">
/// A cancellation token that can be used by other objects or threads to receive notice of cancellation.
/// </param>
/// <returns>The task object representing the asynchronous operation.</returns>
public Task<CreateMLModelResponse> CreateMLModelAsync(CreateMLModelRequest request, System.Threading.CancellationToken cancellationToken = default(CancellationToken))
{
var marshaller = new CreateMLModelRequestMarshaller();
var unmarshaller = CreateMLModelResponseUnmarshaller.Instance;
return InvokeAsync<CreateMLModelRequest,CreateMLModelResponse>(request, marshaller,
unmarshaller, cancellationToken);
}
public void CreateMLModelMarshallTest()
{
var request = InstantiateClassGenerator.Execute<CreateMLModelRequest>();
var marshaller = new CreateMLModelRequestMarshaller();
var internalRequest = marshaller.Marshall(request);
var jsonRequest = UTF8Encoding.UTF8.GetString(internalRequest.Content);
Comparer.CompareObjectToJson<CreateMLModelRequest>(request,jsonRequest);
var webResponse = new WebResponseData
{
Headers = {
{"x-amzn-RequestId", Guid.NewGuid().ToString()},
{"x-amz-crc32","0"}
}
};
var jsonResponse = new JsonSampleGenerator(service_model, service_model.FindOperation("CreateMLModel").ResponseStructure).Execute();
webResponse.Headers.Add("Content-Length", UTF8Encoding.UTF8.GetBytes(jsonResponse).Length.ToString());
UnmarshallerContext context = new JsonUnmarshallerContext(Utils.CreateStreamFromString(jsonResponse), false, webResponse);
var response = CreateMLModelResponseUnmarshaller.Instance.Unmarshall(context)
as CreateMLModelResponse;
InstantiateClassGenerator.ValidateObjectFullyInstantiated(response);
}
internal CreateMLModelResponse CreateMLModel(CreateMLModelRequest request)
{
var marshaller = new CreateMLModelRequestMarshaller();
var unmarshaller = CreateMLModelResponseUnmarshaller.Instance;
return Invoke<CreateMLModelRequest,CreateMLModelResponse>(request, marshaller, unmarshaller);
}
/// <summary>
/// Initiates the asynchronous execution of the CreateMLModel operation.
/// </summary>
///
/// <param name="request">Container for the necessary parameters to execute the CreateMLModel operation on AmazonMachineLearningClient.</param>
/// <param name="callback">An AsyncCallback delegate that is invoked when the operation completes.</param>
/// <param name="state">A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback
/// procedure using the AsyncState property.</param>
///
/// <returns>An IAsyncResult that can be used to poll or wait for results, or both; this value is also needed when invoking EndCreateMLModel
/// operation.</returns>
public IAsyncResult BeginCreateMLModel(CreateMLModelRequest request, AsyncCallback callback, object state)
{
var marshaller = new CreateMLModelRequestMarshaller();
var unmarshaller = CreateMLModelResponseUnmarshaller.Instance;
return BeginInvoke<CreateMLModelRequest>(request, marshaller, unmarshaller,
callback, state);
}