BatchDeploymentResource IOperationSource <BatchDeploymentResource> .CreateResult(Response response, CancellationToken cancellationToken) { using var document = JsonDocument.Parse(response.ContentStream); var data = BatchDeploymentData.DeserializeBatchDeploymentData(document.RootElement); return(new BatchDeploymentResource(_client, data)); }
internal BatchDeploymentResource(ArmClient client, BatchDeploymentData data) : this(client, data.Id) { HasData = true; _data = data; }
public virtual async Task <ArmOperation <BatchDeploymentResource> > CreateOrUpdateAsync(WaitUntil waitUntil, string deploymentName, BatchDeploymentData data, CancellationToken cancellationToken = default) { Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName)); Argument.AssertNotNull(data, nameof(data)); using var scope = _batchDeploymentClientDiagnostics.CreateScope("BatchDeploymentCollection.CreateOrUpdate"); scope.Start(); try { var response = await _batchDeploymentRestClient.CreateOrUpdateAsync(Id.SubscriptionId, Id.ResourceGroupName, Id.Parent.Name, Id.Name, deploymentName, data, cancellationToken).ConfigureAwait(false); var operation = new MachineLearningArmOperation <BatchDeploymentResource>(new BatchDeploymentOperationSource(Client), _batchDeploymentClientDiagnostics, Pipeline, _batchDeploymentRestClient.CreateCreateOrUpdateRequest(Id.SubscriptionId, Id.ResourceGroupName, Id.Parent.Name, Id.Name, deploymentName, data).Request, response, OperationFinalStateVia.Location); if (waitUntil == WaitUntil.Completed) { await operation.WaitForCompletionAsync(cancellationToken).ConfigureAwait(false); } return(operation); } catch (Exception e) { scope.Failed(e); throw; } }