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;
}
}