/// <summary>
/// Run the sample async.
/// </summary>
/// <param name="config">The parm is of type ConfigWrapper. This class reads values from local configuration file.</param>
/// <returns></returns>
// <RunAsync>
private static async Task RunAsync(ConfigWrapper config)
{
IAzureMediaServicesClient client = await CreateMediaServicesClientAsync(config);
// Set the polling interval for long running operations to 2 seconds.
// The default value is 30 seconds for the .NET client SDK
client.LongRunningOperationRetryTimeout = 2;
try
{
// Ensure that you have customized transforms for the VideoAnalyzer. This is really a one time setup operation.
Transform videoAnalyzerTransform = EnsureTransformExists(client, config.ResourceGroup, config.AccountName, VideoAnalyzerTransformName, new VideoAnalyzerPreset());
// Creating a unique suffix so that we don't have name collisions if you run the sample
// multiple times without cleaning up.
string uniqueness = Guid.NewGuid().ToString().Substring(0, 13);
string jobName = "job-" + uniqueness;
string inputAssetName = "input-" + uniqueness;
string outputAssetName = "output-" + uniqueness;
CreateInputAsset(client, config.ResourceGroup, config.AccountName, inputAssetName, inputMP4FileName).Wait();
JobInput input = new JobInputAsset(assetName: inputAssetName);
Asset outputAsset = CreateOutputAsset(client, config.ResourceGroup, config.AccountName, outputAssetName);
// Note that you can now pass custom correlation data Dictionary into the job to use via EventGrid or other Job polling listeners.
// this is handy for passing tenant ID, or custom workflow data as part of your job.
var correlationData = new Dictionary <string, string>();
correlationData.Add("customData1", "some custom data to pass through the job");
correlationData.Add("custom ID", "some GUID here");
Job job = SubmitJob(client, config.ResourceGroup, config.AccountName, VideoAnalyzerTransformName, jobName, input, outputAsset.Name, correlationData);
DateTime startedTime = DateTime.Now;
job = WaitForJobToFinish(client, config.ResourceGroup, config.AccountName, VideoAnalyzerTransformName, jobName);
TimeSpan elapsed = DateTime.Now - startedTime;
if (job.State == JobState.Finished)
{
Console.WriteLine("Job finished.");
if (!Directory.Exists(outputFolder))
{
Directory.CreateDirectory(outputFolder);
}
DownloadResults(client, config.ResourceGroup, config.AccountName, outputAsset.Name, outputFolder).Wait();
}
else if (job.State == JobState.Error)
{
Console.WriteLine($"ERROR: Job finished with error message: {job.Outputs[0].Error.Message}");
Console.WriteLine($"ERROR: error details: {job.Outputs[0].Error.Details[0].Message}");
}
}
catch (ApiErrorException ex)
{
string code = ex.Body.Error.Code;
string message = ex.Body.Error.Message;
Console.WriteLine("ERROR:API call failed with error code: {0} and message: {1}", code, message);
}
}
static void Main(string[] args)
{
ConfigWrapper config = new ConfigWrapper();
IAzureMediaServicesClient client = CreateMediaServicesClient(config);
// Set the polling interval for long running operations to 2 seconds.
// The default value is 30 seconds for the .NET client SDK
client.LongRunningOperationRetryTimeout = 2;
try
{
// Ensure that you have customized encoding Transform. This is really a one time setup operation.
Transform adaptiveEncodeTransform = EnsureTransformExists(client, config.Region, transformName, preset: new BuiltInStandardEncoderPreset(EncoderNamedPreset.AdaptiveStreaming));
// Creating a unique suffix so that we don't have name collisions if you run the sample
// multiple times without cleaning up.
string uniqueness = Guid.NewGuid().ToString().Substring(0, 13);
string jobName = "job-" + uniqueness;
string inputAssetName = "input-" + uniqueness;
string outputAssetName = "output-" + uniqueness;
Asset asset = client.Assets.CreateOrUpdate(resourceGroupName, accountName, inputAssetName, new Asset());
var input = new JobInputHttp(
baseUri: "https://nimbuscdn-nimbuspm.streaming.mediaservices.windows.net/2b533311-b215-4409-80af-529c3e853622/",
files: new List <String> {
"Ignite-short.mp4"
},
label: "input1"
);
CreateOutputAsset(client, outputAssetName);
Job job = SubmitJob(client, transformName, jobName, input, outputAssetName);
DateTime startedTime = DateTime.Now;
job = WaitForJobToFinish(client, transformName, jobName);
TimeSpan elapsed = DateTime.Now - startedTime;
if (job.State == JobState.Finished)
{
Console.WriteLine("Job finished.");
if (!Directory.Exists(outputFolder))
{
Directory.CreateDirectory(outputFolder);
}
DownloadResults(client, outputAssetName, outputFolder).Wait();
}
else if (job.State == JobState.Error)
{
Console.WriteLine($"ERROR: Job finished with error message: {job.Outputs[0].Error.Message}");
Console.WriteLine($"ERROR: error details: {job.Outputs[0].Error.Details[0].Message}");
}
}
catch (ApiErrorException ex)
{
string code = ex.Body.Error.Code;
string message = ex.Body.Error.Message;
Console.WriteLine("ERROR:API call failed with error code: {0} and message: {1}", code, message);
}
}
// </GetCredentialsAsync>
/// <summary>
/// Creates the AzureMediaServicesClient object based on the credentials
/// supplied in local configuration file.
/// </summary>
/// <param name="config">The parm is of type ConfigWrapper. This class reads values from local configuration file.</param>
/// <returns></returns>
// <CreateMediaServicesClient>
private static async Task <IAzureMediaServicesClient> CreateMediaServicesClientAsync(ConfigWrapper config)
{
var credentials = await GetCredentialsAsync(config);
return(new AzureMediaServicesClient(config.ArmEndpoint, credentials)
{
SubscriptionId = config.SubscriptionId,
});
}
static void Main(string[] args)
{
ConfigWrapper config = new ConfigWrapper();
try{
IAzureMediaServicesClient client = CreateMediaServicesClient(config);
// Set the polling interval for long running operations to 2 seconds.
// The default value is 30 seconds for the .NET client SDK
client.LongRunningOperationRetryTimeout = 2;
// Creating a unique suffix so that we don't have name collisions if you run the sample
// multiple times without cleaning up.
string uniqueness = Guid.NewGuid().ToString().Substring(0, 13);
string jobName = "job-" + uniqueness;
string outputAssetName = "output-" + uniqueness;
string inputAssetName = "input-" + uniqueness;
// Ensure that you have the desired encoding Transform. This is really a one time setup operation.
Transform videoAnalyzerTransform = EnsureTransformExists(client, config.ResourceGroup, config.AccountName, VideoAnalyzerTransformName, new VideoAnalyzerPreset("en-US"));
// Create a new input Asset and upload the specified local video file into it.
CreateInputAsset(client, config.ResourceGroup, config.AccountName, inputAssetName, InputMP4FileName);
// Use the name of the created input asset to create the job input.
JobInput jobInput = new JobInputAsset(assetName: inputAssetName);
// Output from the encoding Job must be written to an Asset, so let's create one
Asset outputAsset = client.Assets.CreateOrUpdate(config.ResourceGroup, config.AccountName, outputAssetName, new Asset());
Job job = SubmitJob(client, config.ResourceGroup, config.AccountName, VideoAnalyzerTransformName, jobName, jobInput, outputAssetName);
// In this demo code, we will poll for Job status
// Polling is not a recommended best practice for production applications because of the latency it introduces.
// Overuse of this API may trigger throttling. Developers should instead use Event Grid.
job = WaitForJobToFinish(client, config.ResourceGroup, config.AccountName, VideoAnalyzerTransformName, jobName);
if (job.State == JobState.Finished)
{
Console.WriteLine("Job finished.");
if (!Directory.Exists(OutputFolder))
{
Directory.CreateDirectory(OutputFolder);
}
DownloadResults(client, config.ResourceGroup, config.AccountName, outputAssetName, OutputFolder);
}
Console.WriteLine("Done.");
Console.WriteLine("Press Enter to Continue");
Console.ReadLine();
}
catch (ApiErrorException ex)
{
Console.WriteLine("{0}", ex.Message);
Console.WriteLine("ERROR:API call failed with error code: {0} and message: {1}",
ex.Body.Error.Code, ex.Body.Error.Message);
}
}