public static string GeneratesInsights([ActivityTrigger] InitialSetupResult initialSetup, TraceWriter log)
{
// Building up Json sentence
dynamic flexibleObj = new ExpandoObject();
flexibleObj.assetId = initialSetup.Asset.Id;
flexibleObj.videoFileName = initialSetup.Video.VideoFileName;
var jsonStr = JsonConvert.SerializeObject(flexibleObj);
try
{
using (var client = new HttpClient())
{
var content = new StringContent(jsonStr);
content.Headers.ContentType.CharSet = string.Empty;
content.Headers.ContentType.MediaType = "application/json";
var response = client.PostAsync(_logicappuri, content);
log.Info(response.Result.ToString());
return(response.Result.ToString());
}
}
catch (Exception)
{
return(string.Empty);
}
}
public static string GeneratesEncoder([ActivityTrigger] InitialSetupResult initialSetupResult, TraceWriter log)
{
IJob job;
// Step 1: Setting up queue, context and endpoint
string endPointAddress = Guid.NewGuid().ToString();
AzureAdTokenCredentials tokenCredentials = new AzureAdTokenCredentials(_tenantDomain, new AzureAdClientSymmetricKey(_clientId, _clientSecret), AzureEnvironments.AzureCloudEnvironment);
var tokenProvider = new AzureAdTokenProvider(tokenCredentials);
_context = new CloudMediaContext(new Uri(_restApiUrl), tokenProvider);
// Create the queue that will be receiving the notification messages.
_queue = MediaServices.CreateQueue(_storageConnection, endPointAddress);
// Create the notification point that is mapped to the queue.
_notificationEndPoint = _context.NotificationEndPoints.Create(Guid.NewGuid().ToString(), NotificationEndPointType.AzureQueue, endPointAddress);
// Step 2: Creating the encoding job
try
{
log.Info("Starting encoding job...");
IMediaProcessor mediaProcessor = MediaServices.GetLatestMediaProcessorByName("Media Encoder Standard", _context);
job = MediaServices.SubmitEncodingJobWithNotificationEndPoint(_context, mediaProcessor.Name, initialSetupResult, _notificationEndPoint);
log.Info("Done. Encoding job successfuly scheduled.");
log.Info("Waiting the encoding process get completed...");
MediaServices.WaitForJobToReachedFinishedState(job.Id, _queue, log);
}
catch (Exception ex)
{
return(string.Empty);
}
log.Info("Done. Encoding completed.");
// Step 3: Cleaning up temporary resources
_queue.Delete();
_notificationEndPoint.Delete();
// Step 4: Returns the final result
return(job.Id);
}
////////////////////////////////////////////////////////////// NEW VERSION ////////////////////////////////////////////////////////////////////////////////////
public static IJob SubmitEncodingJobWithNotificationEndPoint(CloudMediaContext _context, string mediaProcessorName, InitialSetupResult initialSetup, INotificationEndPoint _notificationEndPoint)
{
// Declare a new job.
IJob job = _context.Jobs.Create($"Job_Encoding_{initialSetup.Video.VideoFileName}");
//Create an encrypted asset and upload the mp4
IAsset asset = LoadExistingAsset(initialSetup.Asset.Id, _context);
// Get a media processor reference, and pass to it the name of the
// processor to use for the specific task.
IMediaProcessor processor = GetLatestMediaProcessorByName(mediaProcessorName, _context);
// Create a task with the conversion details, using a configuration file.
ITask task = job.Tasks.AddNew($"Job_Encoding_Task_{initialSetup.Video.VideoFileName}", processor, "Adaptive Streaming", Microsoft.WindowsAzure.MediaServices.Client.TaskOptions.None);
// Specify the input asset to be encoded.
task.InputAssets.Add(asset);
// Add an output asset to contain the results of the job.
task.OutputAssets.AddNew($"Output_Encoding_{initialSetup.Video.VideoFileName}", AssetCreationOptions.None);
// Add a notification point to the job. You can add multiple notification points.
job.JobNotificationSubscriptions.AddNew(NotificationJobState.FinalStatesOnly, _notificationEndPoint);
job.Submit();
return(job);
}
