예제 #1
0
        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);
        }