public static int AddTask(Microsoft.Azure.WebJobs.ExecutionContext execContext, CloudMediaContext context, IJob job, IAsset sourceAsset, string value, string processor, string presetfilename, string stringtoreplace, ref int taskindex, int priority = 10, string specifiedStorageAccountName = null) { if (value != null) { // Get a media processor reference, and pass to it the name of the // processor to use for the specific task. IMediaProcessor mediaProcessor = MediaServicesHelper.GetLatestMediaProcessorByName(context, processor); string presetPath = Path.Combine(System.IO.Directory.GetParent(execContext.FunctionDirectory).FullName, "presets", presetfilename); string Configuration = File.ReadAllText(presetPath).Replace(stringtoreplace, value); // Create a task with the encoding details, using a string preset. var task = job.Tasks.AddNew(processor + " task", mediaProcessor, Configuration, TaskOptions.None); task.Priority = priority; // Specify the input asset to be indexed. task.InputAssets.Add(sourceAsset); // Add an output asset to contain the results of the job. // Use a non default storage account in case this was provided in 'AddTask' task.OutputAssets.AddNew(sourceAsset.Name + " " + processor + " Output", specifiedStorageAccountName, AssetCreationOptions.None); return(taskindex++); } else { return(-1); } }
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 })); }