private void OnEncounteredError()
{
var exception = new MediaException("A VLC exception occurred");
Trace.TraceError(exception.ToString());
Error.Exception = exception;
}
private void HandleError(Exception exception)
{
if (exception != null)
{
var ex = new MediaException("Could not open audio", exception);
Trace.TraceWarning(ex.ToString());
Error.Exception = ex;
}
else
{
Error.Exception = null;
}
}
public async Task <Tuple <bool, MediaJob, MediaException> > EncodeMediaAsync(
string title,
string assetName,
byte[] assetData,
Action <string> progess,
bool downloadAssets,
CancellationToken token)
{
_logger.LogInformation($"EncodeMediaAsync: {assetName} with file: {assetData.Length}");
bool isSuccess = false;
MediaJob result = null;
MediaException exception = null;
IAzureMediaServicesClient client = await GetClient();
// create unique name to prevent collisions with dup file names
string uniqueness = Guid.NewGuid().ToString().Substring(0, 13);
string jobName = $"job-{uniqueness}";
string locatorName = $"locator-{uniqueness}";
string inputAssetName = $"input-{assetName}{uniqueness}";
string outputAssetName = $"output-{assetName}{uniqueness}";
bool stopEndpoint = false;
try
{
// Ensure that you have customized encoding Transform. This is really a one time setup operation.
progess("Creating Transform...");
// var transform = await CreateCustomTransform(client, _settings.ResourceGroup, _settings.AccountName, CustomTransform);
var transform = await CreateBuiltinTransform(client, _settings.ResourceGroup, _settings.AccountName, DefaultTransform);
_logger.LogInformation($"Transform created...{transform.Description}");
// Create a new input Asset and upload the specified local video file into it.
progess("Creating input Asset...");
var inputAsset = await CreateInputAssetAsync(client, _settings.ResourceGroup, _settings.AccountName,
inputAssetName, assetName, assetData, token);
_logger.LogInformation($"Input Asset created...{inputAsset.AssetId}");
// Output from the Job must be written to an Asset, so let's create one
progess("Creating output Asset...");
var outputAsset = await CreateOutputAssetAsync(client, _settings.ResourceGroup, _settings.AccountName, outputAssetName, token);
_logger.LogInformation($"Output Asset created...{outputAsset.AssetId}");
// create job
progess("Creating and Submitting Job...");
var job = await SubmitJobAsync(client, _settings.ResourceGroup, _settings.AccountName, DefaultTransform, jobName, inputAsset.Name, outputAsset.Name, token);
_logger.LogInformation($"Job created...{job.Name}");
DateTime startedTime = DateTime.Now;
//TODO: event hub
// Polling is not a recommended best practice for production applications because of the latency it introduces.
// Overuse of this API may trigger throttling. Developers should instead use Event Grid and listen for the status events on the jobs
_logger.LogInformation("Polling job status...");
progess("Polling job status...");
job = await WaitForJobToFinishAsync(client, _settings.ResourceGroup, _settings.AccountName, DefaultTransform, jobName, progess, token);
TimeSpan elapsed = DateTime.Now - startedTime;
if (job.State == JobState.Finished)
{
_logger.LogInformation($"Job finished: {elapsed}");
progess($"Job finished: {elapsed}");
var thumbnailList = await GenerateResults(client, _settings.ResourceGroup, _settings.AccountName, outputAsset.Name, OutputFolder, progess, downloadAssets, token);
//Streaming
progess("Creating Stream endpoints...");
var locator = await CreateStreamingLocatorAsync(client, _settings.ResourceGroup, _settings.AccountName, outputAssetName, locatorName, token);
var streamingEndpoint = await client.StreamingEndpoints.GetAsync(_settings.ResourceGroup, _settings.AccountName, DefaultStreamingEndpointName, token);
if (streamingEndpoint != null)
{
if (streamingEndpoint.ResourceState != StreamingEndpointResourceState.Running)
{
_logger.LogInformation("Streaming Endpoint was Stopped, restarting now..");
progess("Streaming Endpoint was Stopped, restarting now..");
await client.StreamingEndpoints.StartAsync(_settings.ResourceGroup, _settings.AccountName, DefaultStreamingEndpointName, token);
// Since we started the endpoint, we should stop it in cleanup.
stopEndpoint = true;
}
}
_logger.LogInformation("Getting the Streaming manifest URLs for HLS and DASH:");
progess("Getting the Streaming manifest URLs for HLS and DASH:");
var streamUrls = await GetStreamingUrlsAsync(client, _settings.ResourceGroup, _settings.AccountName, locator.Name, streamingEndpoint, token);
_logger.LogInformation($"Retuning {streamUrls.Count} URLs");
isSuccess = true;
result = new MediaJob(jobName, locatorName, inputAssetName, outputAssetName,
stopEndpoint, streamUrls, thumbnailList.FirstOrDefault(), title);
}
else if (job.State == JobState.Error)
{
_logger.LogInformation($"ERROR: Job finished with error message: {job.Outputs[0].Error.Message}");
_logger.LogInformation($"ERROR: error details: {job.Outputs[0].Error.Details[0].Message}");
exception = new MediaException(job.Outputs[0].Error.Message);
_logger.LogInformation("Cleaning up...");
await CleanUpAsync(client, _settings.ResourceGroup, _settings.AccountName, DefaultTransform, jobName,
inputAssetName, outputAssetName, locatorName, stopEndpoint, DefaultStreamingEndpointName);
}
}
catch (ApiErrorException e)
{
_logger.LogError(e, e.Message);
exception = new MediaException(e.Message, e);
_logger.LogInformation("Cleaning up...");
await CleanUpAsync(client, _settings.ResourceGroup, _settings.AccountName, DefaultTransform, jobName,
inputAssetName, outputAssetName, locatorName, stopEndpoint, DefaultStreamingEndpointName);
}
return(new Tuple <bool, MediaJob, MediaException>(isSuccess, result, exception));
}
