public static async Task <object> Run([HttpTrigger(WebHookType = "genericJson")] HttpRequestMessage req, TraceWriter log, Microsoft.Azure.WebJobs.ExecutionContext execContext)
{
int taskindex = 0;
bool useEncoderOutputForAnalytics = false;
IAsset outputEncoding = null;
log.Info($"Webhook was triggered!");
string triggerStart = DateTime.UtcNow.ToString("o");
string jsonContent = await req.Content.ReadAsStringAsync();
dynamic data = JsonConvert.DeserializeObject(jsonContent);
log.Info(jsonContent);
log.Info($"asset id : {data.assetId}");
if (data.assetId == null)
{
// for test
// data.assetId = "nb:cid:UUID:2d0d78a2-685a-4b14-9cf0-9afb0bb5dbfc";
return(req.CreateResponse(HttpStatusCode.BadRequest, new
{
error = "Please pass asset ID in the input object (assetId)"
}));
}
IJob job = null;
ITask taskEncoding = null;
int OutputMES = -1;
int OutputMEPW = -1;
int OutputIndex1 = -1;
int OutputIndex2 = -1;
int OutputOCR = -1;
int OutputFaceDetection = -1;
int OutputMotion = -1;
int OutputSummarization = -1;
int OutputFaceRedaction = -1;
int OutputMesThumbnails = -1;
int OutputVideoAnnotation = -1;
int NumberJobsQueue = 0;
MediaServicesCredentials amsCredentials = new MediaServicesCredentials();
log.Info($"Using Azure Media Service Rest API Endpoint : {amsCredentials.AmsRestApiEndpoint}");
try
{
AzureAdTokenCredentials tokenCredentials = new AzureAdTokenCredentials(amsCredentials.AmsAadTenantDomain,
new AzureAdClientSymmetricKey(amsCredentials.AmsClientId, amsCredentials.AmsClientSecret),
AzureEnvironments.AzureCloudEnvironment);
AzureAdTokenProvider tokenProvider = new AzureAdTokenProvider(tokenCredentials);
_context = new CloudMediaContext(amsCredentials.AmsRestApiEndpoint, tokenProvider);
// find the Asset
string assetid = (string)data.assetId;
IAsset asset = _context.Assets.Where(a => a.Id == assetid).FirstOrDefault();
if (asset == null)
{
log.Info($"Asset not found {assetid}");
return(req.CreateResponse(HttpStatusCode.BadRequest, new
{
error = "Asset not found"
}));
}
if (data.useEncoderOutputForAnalytics != null && ((bool)data.useEncoderOutputForAnalytics) && (data.mesPreset != null || data.mes != null)) // User wants to use encoder output for media analytics
{
useEncoderOutputForAnalytics = (bool)data.useEncoderOutputForAnalytics;
}
// Declare a new encoding job with the Standard encoder
int priority = 10;
if (data.priority != null)
{
priority = (int)data.priority;
}
job = _context.Jobs.Create(((string)data.jobName) ?? "Azure Functions Job", priority);
if (data.mes != null || data.mesPreset != null) // MES Task
{
// Get a media processor reference, and pass to it the name of the
// processor to use for the specific task.
IMediaProcessor processorMES = MediaServicesHelper.GetLatestMediaProcessorByName(_context, "Media Encoder Standard");
string preset = null;
if (data.mes != null)
{
preset = (string)data.mes.preset;
}
else
{
preset = (string)data.mesPreset; // Compatibility mode
}
if (preset == null)
{
preset = "Content Adaptive Multiple Bitrate MP4"; // the default preset
}
if (preset.ToUpper().EndsWith(".JSON"))
{
// Build the folder path to the preset
string presetPath = Path.Combine(System.IO.Directory.GetParent(execContext.FunctionDirectory).FullName, "presets", preset);
log.Info("presetPath= " + presetPath);
preset = File.ReadAllText(presetPath);
}
// Create a task with the encoding details, using a string preset.
// In this case "H264 Multiple Bitrate 720p" system defined preset is used.
taskEncoding = job.Tasks.AddNew("MES encoding task",
processorMES,
preset,
TaskOptions.None);
// Specify the input asset to be encoded.
taskEncoding.InputAssets.Add(asset);
OutputMES = taskindex++;
// Add an output asset to contain the results of the job.
// This output is specified as AssetCreationOptions.None, which
// means the output asset is not encrypted.
outputEncoding = taskEncoding.OutputAssets.AddNew(asset.Name + " MES encoded", JobHelpers.OutputStorageFromParam(data.mes), AssetCreationOptions.None);
}
if (data.mepw != null || data.workflowAssetId != null) // Premium Encoder Task
{
//find the workflow asset
string workflowassetid = null;
if (data.mepw != null)
{
workflowassetid = (string)data.mepw.workflowAssetId;
}
else
{
workflowassetid = (string)data.workflowAssetId; // compatibility mode
}
IAsset workflowAsset = _context.Assets.Where(a => a.Id == workflowassetid).FirstOrDefault();
if (workflowAsset == null)
{
log.Info($"Workflow not found {workflowassetid}");
return(req.CreateResponse(HttpStatusCode.BadRequest, new
{
error = "Workflow not found"
}));
}
// Get a media processor reference, and pass to it the name of the
// processor to use for the specific task.
IMediaProcessor processorMEPW = MediaServicesHelper.GetLatestMediaProcessorByName(_context, "Media Encoder Premium Workflow");
string premiumConfiguration = "";
if (data.mepw != null && data.mepw.workflowConfig != null)
{
premiumConfiguration = (string)data.mepw.workflowConfig;
}
else if (data.workflowConfig != null)
{
premiumConfiguration = (string)data.workflowConfig; // compatibility mode
}
// In some cases, a configuration can be loaded and passed it to the task to tuned the workflow
// premiumConfiguration=File.ReadAllText(Path.Combine(System.IO.Directory.GetParent(execContext.FunctionDirectory).FullName, "presets", "SetRuntime.xml")).Replace("VideoFileName", VideoFile.Name).Replace("AudioFileName", AudioFile.Name);
// Create a task
taskEncoding = job.Tasks.AddNew("Premium Workflow encoding task",
processorMEPW,
premiumConfiguration,
TaskOptions.None);
log.Info("task created");
// Specify the input asset to be encoded.
taskEncoding.InputAssets.Add(workflowAsset); // first add the Workflow
taskEncoding.InputAssets.Add(asset); // Then add the video asset
OutputMEPW = taskindex++;
// Add an output asset to contain the results of the job.
// This output is specified as AssetCreationOptions.None, which
// means the output asset is not encrypted.
outputEncoding = taskEncoding.OutputAssets.AddNew(asset.Name + " Premium encoded", JobHelpers.OutputStorageFromParam(data.mepw), AssetCreationOptions.None);
}
IAsset an_asset = useEncoderOutputForAnalytics ? outputEncoding : asset;
// Media Analytics
OutputIndex1 = JobHelpers.AddTask(execContext, _context, job, an_asset, (data.indexV1 == null) ? (string)data.indexV1Language : ((string)data.indexV1.language ?? "English"), "Azure Media Indexer", "IndexerV1.xml", "English", ref taskindex, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.indexV1));
OutputIndex2 = JobHelpers.AddTask(execContext, _context, job, an_asset, (data.indexV2 == null) ? (string)data.indexV2Language : ((string)data.indexV2.language ?? "EnUs"), "Azure Media Indexer 2 Preview", "IndexerV2.json", "EnUs", ref taskindex, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.indexV2));
OutputOCR = JobHelpers.AddTask(execContext, _context, job, an_asset, (data.ocr == null) ? (string)data.ocrLanguage : ((string)data.ocr.language ?? "AutoDetect"), "Azure Media OCR", "OCR.json", "AutoDetect", ref taskindex, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.ocr));
OutputFaceDetection = JobHelpers.AddTask(execContext, _context, job, an_asset, (data.faceDetection == null) ? (string)data.faceDetectionMode : ((string)data.faceDetection.mode ?? "PerFaceEmotion"), "Azure Media Face Detector", "FaceDetection.json", "PerFaceEmotion", ref taskindex, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.faceDetection));
OutputFaceRedaction = JobHelpers.AddTask(execContext, _context, job, an_asset, (data.faceRedaction == null) ? (string)data.faceRedactionMode : ((string)data.faceRedaction.mode ?? "comined"), "Azure Media Redactor", "FaceRedaction.json", "combined", ref taskindex, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.faceRedaction));
OutputMotion = JobHelpers.AddTask(execContext, _context, job, an_asset, (data.motionDetection == null) ? (string)data.motionDetectionLevel : ((string)data.motionDetection.level ?? "medium"), "Azure Media Motion Detector", "MotionDetection.json", "medium", ref taskindex, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.motionDetection));
OutputSummarization = JobHelpers.AddTask(execContext, _context, job, an_asset, (data.summarization == null) ? (string)data.summarizationDuration : ((string)data.summarization.duration ?? "0.0"), "Azure Media Video Thumbnails", "Summarization.json", "0.0", ref taskindex, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.summarization));
OutputVideoAnnotation = JobHelpers.AddTask(execContext, _context, job, an_asset, (data.videoAnnotation != null) ? "1.0" : null, "Azure Media Video Annotator", "VideoAnnotation.json", "1.0", ref taskindex, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.videoAnnotation));
// MES Thumbnails
OutputMesThumbnails = JobHelpers.AddTask(execContext, _context, job, asset, (data.mesThumbnails != null) ? ((string)data.mesThumbnails.Start ?? "{Best}") : null, "Media Encoder Standard", "MesThumbnails.json", "{Best}", ref taskindex, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.mesThumbnails));
job.Submit();
log.Info("Job Submitted");
NumberJobsQueue = _context.Jobs.Where(j => j.State == JobState.Queued).Count();
}
catch (Exception ex)
{
string message = ex.Message + ((ex.InnerException != null) ? Environment.NewLine + MediaServicesHelper.GetErrorMessage(ex) : "");
log.Info($"ERROR: Exception {message}");
return(req.CreateResponse(HttpStatusCode.InternalServerError, new { error = message }));
}
job = _context.Jobs.Where(j => j.Id == job.Id).FirstOrDefault(); // Let's refresh the job
log.Info("Job Id: " + job.Id);
log.Info("OutputAssetMESId: " + JobHelpers.ReturnId(job, OutputMES));
log.Info("OutputAssetMEPWId: " + JobHelpers.ReturnId(job, OutputMEPW));
log.Info("OutputAssetIndexV1Id: " + JobHelpers.ReturnId(job, OutputIndex1));
log.Info("OutputAssetIndexV2Id: " + JobHelpers.ReturnId(job, OutputIndex2));
log.Info("OutputAssetOCRId: " + JobHelpers.ReturnId(job, OutputOCR));
log.Info("OutputAssetFaceDetectionId: " + JobHelpers.ReturnId(job, OutputFaceDetection));
log.Info("OutputAssetFaceRedactionId: " + JobHelpers.ReturnId(job, OutputFaceRedaction));
log.Info("OutputAssetMotionDetectionId: " + JobHelpers.ReturnId(job, OutputMotion));
log.Info("OutputAssetSummarizationId: " + JobHelpers.ReturnId(job, OutputSummarization));
log.Info("OutputMesThumbnailsId: " + JobHelpers.ReturnId(job, OutputMesThumbnails));
log.Info("OutputAssetVideoAnnotationId: " + JobHelpers.ReturnId(job, OutputVideoAnnotation));
return(req.CreateResponse(HttpStatusCode.OK, new
{
jobId = job.Id,
otherJobsQueue = NumberJobsQueue,
mes = new
{
assetId = JobHelpers.ReturnId(job, OutputMES),
taskId = JobHelpers.ReturnTaskId(job, OutputMES)
},
mepw = new
{
assetId = JobHelpers.ReturnId(job, OutputMEPW),
taskId = JobHelpers.ReturnTaskId(job, OutputMEPW)
},
indexV1 = new
{
assetId = JobHelpers.ReturnId(job, OutputIndex1),
taskId = JobHelpers.ReturnTaskId(job, OutputIndex1),
language = (string)data.indexV1Language
},
indexV2 = new
{
assetId = JobHelpers.ReturnId(job, OutputIndex2),
taskId = JobHelpers.ReturnTaskId(job, OutputIndex2),
language = (string)data.indexV2Language
},
ocr = new
{
assetId = JobHelpers.ReturnId(job, OutputOCR),
taskId = JobHelpers.ReturnTaskId(job, OutputOCR)
},
faceDetection = new
{
assetId = JobHelpers.ReturnId(job, OutputFaceDetection),
taskId = JobHelpers.ReturnTaskId(job, OutputFaceDetection)
},
faceRedaction = new
{
assetId = JobHelpers.ReturnId(job, OutputFaceRedaction),
taskId = JobHelpers.ReturnTaskId(job, OutputFaceRedaction)
},
motionDetection = new
{
assetId = JobHelpers.ReturnId(job, OutputMotion),
taskId = JobHelpers.ReturnTaskId(job, OutputMotion)
},
summarization = new
{
assetId = JobHelpers.ReturnId(job, OutputSummarization),
taskId = JobHelpers.ReturnTaskId(job, OutputSummarization)
},
mesThumbnails = new
{
assetId = JobHelpers.ReturnId(job, OutputMesThumbnails),
taskId = JobHelpers.ReturnTaskId(job, OutputMesThumbnails)
},
videoAnnotation = new
{
assetId = JobHelpers.ReturnId(job, OutputVideoAnnotation),
taskId = JobHelpers.ReturnTaskId(job, OutputVideoAnnotation)
}
}));
}
public static async Task <object> Run([HttpTrigger(WebHookType = "genericJson")] HttpRequestMessage req, TraceWriter log, Microsoft.Azure.WebJobs.ExecutionContext execContext)
{
// Variables
int taskindex = 0;
int OutputMES = -1;
int OutputPremium = -1;
int OutputIndex1 = -1;
int OutputIndex2 = -1;
int OutputOCR = -1;
int OutputFaceDetection = -1;
int OutputFaceRedaction = -1;
int OutputMotion = -1;
int OutputSummarization = -1;
int OutputHyperlapse = -1;
int OutputMesThumbnails = -1;
int OutputVideoAnnotation = -1;
int OutputContentModeration = -1;
int id = 0;
string programid = "";
string programName = "";
string channelName = "";
string programUrl = "";
string programState = "";
string lastProgramState = "";
IJob job = null;
ITask taskEncoding = null;
int NumberJobsQueue = 0;
int intervalsec = 60; // Interval for each subclip job (sec). Default is 60
TimeSpan starttime = TimeSpan.FromSeconds(0);
TimeSpan duration = TimeSpan.FromSeconds(intervalsec);
log.Info($"Webhook was triggered!");
string triggerStart = DateTime.UtcNow.ToString("o");
string jsonContent = await req.Content.ReadAsStringAsync();
dynamic data = JsonConvert.DeserializeObject(jsonContent);
log.Info(jsonContent);
if (data.channelName == null || data.programName == null)
{
return(req.CreateResponse(HttpStatusCode.BadRequest, new
{
error = "Please pass channel name and program name in the input object (channelName, programName)"
}));
}
if (data.intervalSec != null)
{
intervalsec = (int)data.intervalSec;
}
MediaServicesCredentials amsCredentials = new MediaServicesCredentials();
log.Info($"Using Azure Media Service Rest API Endpoint : {amsCredentials.AmsRestApiEndpoint}");
try
{
AzureAdTokenCredentials tokenCredentials = new AzureAdTokenCredentials(amsCredentials.AmsAadTenantDomain,
new AzureAdClientSymmetricKey(amsCredentials.AmsClientId, amsCredentials.AmsClientSecret),
AzureEnvironments.AzureCloudEnvironment);
AzureAdTokenProvider tokenProvider = new AzureAdTokenProvider(tokenCredentials);
_context = new CloudMediaContext(amsCredentials.AmsRestApiEndpoint, tokenProvider);
// find the Channel, Program and Asset
channelName = (string)data.channelName;
var channel = _context.Channels.Where(c => c.Name == channelName).FirstOrDefault();
if (channel == null)
{
log.Info("Channel not found");
return(req.CreateResponse(HttpStatusCode.BadRequest, new
{
error = "Channel not found"
}));
}
programName = (string)data.programName;
var program = channel.Programs.Where(p => p.Name == programName).FirstOrDefault();
if (program == null)
{
log.Info("Program not found");
return(req.CreateResponse(HttpStatusCode.BadRequest, new
{
error = "Program not found"
}));
}
programState = program.State.ToString();
programid = program.Id;
var asset = ManifestHelpers.GetAssetFromProgram(_context, programid);
if (asset == null)
{
log.Info($"Asset not found for program {programid}");
return(req.CreateResponse(HttpStatusCode.BadRequest, new
{
error = "Asset not found"
}));
}
log.Info($"Using asset Id : {asset.Id}");
// Table storage to store and real the last timestamp processed
// Retrieve the storage account from the connection string.
CloudStorageAccount storageAccount = new CloudStorageAccount(new StorageCredentials(amsCredentials.StorageAccountName, amsCredentials.StorageAccountKey), true);
// Create the table client.
CloudTableClient tableClient = storageAccount.CreateCloudTableClient();
// Retrieve a reference to the table.
CloudTable table = tableClient.GetTableReference("liveanalytics");
// Create the table if it doesn't exist.
if (!table.CreateIfNotExists())
{
log.Info($"Table {table.Name} already exists");
}
else
{
log.Info($"Table {table.Name} created");
}
var lastendtimeInTable = ManifestHelpers.RetrieveLastEndTime(table, programid);
// Get the manifest data (timestamps)
var assetmanifestdata = ManifestHelpers.GetManifestTimingData(_context, asset, log);
log.Info("Timestamps: " + string.Join(",", assetmanifestdata.TimestampList.Select(n => n.ToString()).ToArray()));
var livetime = TimeSpan.FromSeconds((double)assetmanifestdata.TimestampEndLastChunk / (double)assetmanifestdata.TimeScale);
log.Info($"Livetime: {livetime}");
starttime = ManifestHelpers.ReturnTimeSpanOnGOP(assetmanifestdata, livetime.Subtract(TimeSpan.FromSeconds(intervalsec)));
log.Info($"Value starttime : {starttime}");
if (lastendtimeInTable != null)
{
lastProgramState = lastendtimeInTable.ProgramState;
log.Info($"Value ProgramState retrieved : {lastProgramState}");
var lastendtimeInTableValue = TimeSpan.Parse(lastendtimeInTable.LastEndTime);
log.Info($"Value lastendtimeInTable retrieved : {lastendtimeInTableValue}");
id = int.Parse(lastendtimeInTable.Id);
log.Info($"Value id retrieved : {id}");
if (lastendtimeInTableValue != null)
{
var delta = (livetime - lastendtimeInTableValue - TimeSpan.FromSeconds(intervalsec)).Duration();
log.Info($"Delta: {delta}");
//if (delta < (new TimeSpan(0, 0, 3*intervalsec))) // less than 3 times the normal duration (3*60s)
if (delta < (TimeSpan.FromSeconds(3 * intervalsec))) // less than 3 times the normal duration (3*60s)
{
starttime = lastendtimeInTableValue;
log.Info($"Value new starttime : {starttime}");
}
}
}
duration = livetime - starttime;
log.Info($"Value duration: {duration}");
// D:\home\site\wwwroot\Presets\LiveSubclip.json
string ConfigurationSubclip = File.ReadAllText(Path.Combine(System.IO.Directory.GetParent(execContext.FunctionDirectory).FullName, "presets", "LiveSubclip.json")).Replace("0:00:00.000000", starttime.Subtract(TimeSpan.FromMilliseconds(100)).ToString()).Replace("0:00:30.000000", duration.Add(TimeSpan.FromMilliseconds(200)).ToString());
int priority = 10;
if (data.priority != null)
{
priority = (int)data.priority;
}
// MES Subclipping TASK
// Declare a new encoding job with the Standard encoder
job = _context.Jobs.Create("Azure Function - Job for Live Analytics - " + programName, priority);
// Get a media processor reference, and pass to it the name of the
// processor to use for the specific task.
IMediaProcessor processor = MediaServicesHelper.GetLatestMediaProcessorByName(_context, "Media Encoder Standard");
// Change or modify the custom preset JSON used here.
// string preset = File.ReadAllText("D:\home\site\wwwroot\Presets\H264 Multiple Bitrate 720p.json");
// Create a task with the encoding details, using a string preset.
// In this case "H264 Multiple Bitrate 720p" system defined preset is used.
taskEncoding = job.Tasks.AddNew("Subclipping task",
processor,
ConfigurationSubclip,
TaskOptions.None);
// Specify the input asset to be encoded.
taskEncoding.InputAssets.Add(asset);
OutputMES = taskindex++;
// Add an output asset to contain the results of the job.
// This output is specified as AssetCreationOptions.None, which
// means the output asset is not encrypted.
var subclipasset = taskEncoding.OutputAssets.AddNew(asset.Name + " subclipped " + triggerStart, JobHelpers.OutputStorageFromParam(data.mesSubclip), AssetCreationOptions.None);
log.Info($"Adding media analytics tasks");
/*
* // Media Analytics
* OutputIndex1 = JobHelpers.AddTask(job, subclipasset, (string)data.indexV1Language, "Azure Media Indexer", "IndexerV1.xml", "English", ref taskindex);
* OutputIndex2 = JobHelpers.AddTask(job, subclipasset, (string)data.indexV2Language, "Azure Media Indexer 2 Preview", "IndexerV2.json", "EnUs", ref taskindex);
* OutputOCR = JobHelpers.AddTask(job, subclipasset, (string)data.ocrLanguage, "Azure Media OCR", "OCR.json", "AutoDetect", ref taskindex);
* OutputFaceDetection = JobHelpers.AddTask(job, subclipasset, (string)data.faceDetectionMode, "Azure Media Face Detector", "FaceDetection.json", "PerFaceEmotion", ref taskindex);
* OutputFaceRedaction = JobHelpers.AddTask(job, subclipasset, (string)data.faceRedactionMode, "Azure Media Redactor", "FaceRedaction.json", "combined", ref taskindex, priority - 1);
* OutputMotion = JobHelpers.AddTask(job, subclipasset, (string)data.motionDetectionLevel, "Azure Media Motion Detector", "MotionDetection.json", "medium", ref taskindex, priority - 1);
* OutputSummarization = JobHelpers.AddTask(job, subclipasset, (string)data.summarizationDuration, "Azure Media Video Thumbnails", "Summarization.json", "0.0", ref taskindex);
* OutputHyperlapse = JobHelpers.AddTask(job, subclipasset, (string)data.hyperlapseSpeed, "Azure Media Hyperlapse", "Hyperlapse.json", "8", ref taskindex);
* OutputMesThumbnails = JobHelpers.AddTask(job, subclipasset, (string)data.mesThumbnailsStart, "Media Encoder Standard", "MesThumbnails.json", "{Best}", ref taskindex);
*/
//new
OutputIndex1 = JobHelpers.AddTask(execContext, _context, job, subclipasset, (data.indexV1 == null) ? (string)data.indexV1Language : ((string)data.indexV1.language ?? "English"), "Azure Media Indexer", "IndexerV1.xml", "English", ref taskindex, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.indexV1));
OutputIndex2 = JobHelpers.AddTask(execContext, _context, job, subclipasset, (data.indexV2 == null) ? (string)data.indexV2Language : ((string)data.indexV2.language ?? "EnUs"), "Azure Media Indexer 2 Preview", "IndexerV2.json", "EnUs", ref taskindex, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.indexV2));
OutputOCR = JobHelpers.AddTask(execContext, _context, job, subclipasset, (data.ocr == null) ? (string)data.ocrLanguage : ((string)data.ocr.language ?? "AutoDetect"), "Azure Media OCR", "OCR.json", "AutoDetect", ref taskindex, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.ocr));
OutputFaceDetection = JobHelpers.AddTask(execContext, _context, job, subclipasset, (data.faceDetection == null) ? (string)data.faceDetectionMode : ((string)data.faceDetection.mode ?? "PerFaceEmotion"), "Azure Media Face Detector", "FaceDetection.json", "PerFaceEmotion", ref taskindex, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.faceDetection));
OutputFaceRedaction = JobHelpers.AddTask(execContext, _context, job, subclipasset, (data.faceRedaction == null) ? (string)data.faceRedactionMode : ((string)data.faceRedaction.mode ?? "comined"), "Azure Media Redactor", "FaceRedaction.json", "combined", ref taskindex, priority - 1, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.faceRedaction));
OutputMotion = JobHelpers.AddTask(execContext, _context, job, subclipasset, (data.motionDetection == null) ? (string)data.motionDetectionLevel : ((string)data.motionDetection.level ?? "medium"), "Azure Media Motion Detector", "MotionDetection.json", "medium", ref taskindex, priority - 1, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.motionDetection));
OutputSummarization = JobHelpers.AddTask(execContext, _context, job, subclipasset, (data.summarization == null) ? (string)data.summarizationDuration : ((string)data.summarization.duration ?? "0.0"), "Azure Media Video Thumbnails", "Summarization.json", "0.0", ref taskindex, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.summarization));
OutputVideoAnnotation = JobHelpers.AddTask(execContext, _context, job, subclipasset, (data.videoAnnotation != null) ? "1.0" : null, "Azure Media Video Annotator", "VideoAnnotation.json", "1.0", ref taskindex, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.videoAnnotation));
OutputContentModeration = JobHelpers.AddTask(execContext, _context, job, subclipasset, (data.contentModeration != null) ? "2.0" : null, "Azure Media Content Moderator", "ContentModeration.json", "2.0", ref taskindex, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.contentModeration));
// MES Thumbnails
OutputMesThumbnails = JobHelpers.AddTask(execContext, _context, job, subclipasset, (data.mesThumbnails != null) ? ((string)data.mesThumbnails.Start ?? "{Best}") : null, "Media Encoder Standard", "MesThumbnails.json", "{Best}", ref taskindex, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.mesThumbnails));
// Hyperlapse
OutputHyperlapse = JobHelpers.AddTask(execContext, _context, job, subclipasset, (data.hyperlapse == null) ? (string)data.hyperlapseSpeed : ((string)data.hyperlapse.speed ?? "8"), "Azure Media Hyperlapse", "Hyperlapse.json", "8", ref taskindex, specifiedStorageAccountName: JobHelpers.OutputStorageFromParam(data.hyperlapse));
job.Submit();
log.Info("Job Submitted");
id++;
ManifestHelpers.UpdateLastEndTime(table, starttime + duration, programid, id, program.State);
log.Info($"Output MES index {OutputMES}");
// Let store some data in altid of subclipped asset
var sid = JobHelpers.ReturnId(job, OutputMES);
log.Info($"SID {sid}");
var subclipassetrefreshed = _context.Assets.Where(a => a.Id == sid).FirstOrDefault();
log.Info($"subclipassetrefreshed ID {subclipassetrefreshed.Id}");
subclipassetrefreshed.AlternateId = JsonConvert.SerializeObject(new ManifestHelpers.SubclipInfo()
{
programId = programid, subclipStart = starttime, subclipDuration = duration
});
subclipassetrefreshed.Update();
// Let store some data in altid of index assets
var index1sid = JobHelpers.ReturnId(job, OutputIndex1);
if (index1sid != null)
{
var index1assetrefreshed = _context.Assets.Where(a => a.Id == index1sid).FirstOrDefault();
log.Info($"index1assetrefreshed ID {index1assetrefreshed.Id}");
index1assetrefreshed.AlternateId = JsonConvert.SerializeObject(new ManifestHelpers.SubclipInfo()
{
programId = programid, subclipStart = starttime, subclipDuration = duration
});
index1assetrefreshed.Update();
}
var index2sid = JobHelpers.ReturnId(job, OutputIndex2);
if (index2sid != null)
{
var index2assetrefreshed = _context.Assets.Where(a => a.Id == index2sid).FirstOrDefault();
log.Info($"index2assetrefreshed ID {index2assetrefreshed.Id}");
index2assetrefreshed.AlternateId = JsonConvert.SerializeObject(new ManifestHelpers.SubclipInfo()
{
programId = programid, subclipStart = starttime, subclipDuration = duration
});
index2assetrefreshed.Update();
}
// Get program URL
var publishurlsmooth = MediaServicesHelper.GetValidOnDemandURI(_context, asset);
if (publishurlsmooth != null)
{
programUrl = publishurlsmooth.ToString();
}
NumberJobsQueue = _context.Jobs.Where(j => j.State == JobState.Queued).Count();
}
catch (Exception ex)
{
string message = ex.Message + ((ex.InnerException != null) ? Environment.NewLine + MediaServicesHelper.GetErrorMessage(ex) : "");
log.Info($"ERROR: Exception {message}");
return(req.CreateResponse(HttpStatusCode.InternalServerError, new { error = message }));
}
log.Info("Job Id: " + job.Id);
log.Info("Output asset Id: " + ((OutputMES > -1) ? JobHelpers.ReturnId(job, OutputMES) : JobHelpers.ReturnId(job, OutputPremium)));
return(req.CreateResponse(HttpStatusCode.OK, new
{
triggerStart = triggerStart,
jobId = job.Id,
subclip = new
{
assetId = JobHelpers.ReturnId(job, OutputMES),
taskId = JobHelpers.ReturnTaskId(job, OutputMES),
start = starttime,
duration = duration,
},
mesThumbnails = new
{
assetId = JobHelpers.ReturnId(job, OutputMesThumbnails),
taskId = JobHelpers.ReturnTaskId(job, OutputMesThumbnails)
},
indexV1 = new
{
assetId = JobHelpers.ReturnId(job, OutputIndex1),
taskId = JobHelpers.ReturnTaskId(job, OutputIndex1),
language = (string)data.indexV1Language
},
indexV2 = new
{
assetId = JobHelpers.ReturnId(job, OutputIndex2),
taskId = JobHelpers.ReturnTaskId(job, OutputIndex2),
language = (string)data.indexV2Language,
},
ocr = new
{
assetId = JobHelpers.ReturnId(job, OutputOCR),
taskId = JobHelpers.ReturnTaskId(job, OutputOCR)
},
faceDetection = new
{
assetId = JobHelpers.ReturnId(job, OutputFaceDetection),
taskId = JobHelpers.ReturnTaskId(job, OutputFaceDetection)
},
faceRedaction = new
{
assetId = JobHelpers.ReturnId(job, OutputFaceRedaction),
taskId = JobHelpers.ReturnTaskId(job, OutputFaceRedaction)
},
motionDetection = new
{
assetId = JobHelpers.ReturnId(job, OutputMotion),
taskId = JobHelpers.ReturnTaskId(job, OutputMotion)
},
summarization = new
{
assetId = JobHelpers.ReturnId(job, OutputSummarization),
taskId = JobHelpers.ReturnTaskId(job, OutputSummarization)
},
hyperlapse = new
{
assetId = JobHelpers.ReturnId(job, OutputHyperlapse),
taskId = JobHelpers.ReturnTaskId(job, OutputHyperlapse)
},
videoAnnotation = new
{
assetId = JobHelpers.ReturnId(job, OutputVideoAnnotation),
taskId = JobHelpers.ReturnTaskId(job, OutputVideoAnnotation)
},
contentModeration = new
{
assetId = JobHelpers.ReturnId(job, OutputContentModeration),
taskId = JobHelpers.ReturnTaskId(job, OutputContentModeration)
},
channelName = channelName,
programName = programName,
programId = programid,
programUrl = programUrl,
programState = programState,
programStateChanged = (lastProgramState != programState).ToString(),
otherJobsQueue = NumberJobsQueue
}));
}