public static async Task Run([EventGridTrigger] JObject eventGridEvent, TraceWriter log, ExecutionContext executionContext)
{
Guid newReqId = Guid.NewGuid();
bool result = true;
string reqId = string.Empty;
try
{
log.Info($"Start RedactorProcessing requestId: {newReqId} {eventGridEvent.ToString(Formatting.Indented)} ticks: {DateTime.Now.Ticks}");
var eventGrid = eventGridEvent.ToObject <Event <VideoAssetData> >();
reqId = eventGrid.Data.RequestId;
IAsset asset = FaceHelper.GetAsset(eventGrid.Data.AssetName);
if (asset != null)
{
string assetName = eventGrid.Data.JobName + "_" + eventGrid.Data.Step;
string configFile = Directory.GetParent(executionContext.FunctionDirectory).FullName + "\\config.json";
await FaceHelper.RunFaceRedactionJob(asset, assetName, configFile, log);
log.Info($"request {newReqId} for {reqId} started redactor process send event grid to start copy process ticks: {DateTime.Now.Ticks}");
}
else
{
log.Info($"request {newReqId} for {reqId} didn't start redactor no related asset name {eventGrid.Data.AssetName} ticks: {DateTime.Now.Ticks}");
}
}
catch (Exception ex)
{
log.Error($"Exception Message: {ex.Message}, requestId: {newReqId} for {reqId}, ticks: {DateTime.Now.Ticks}", ex);
result = false;
}
string succeed = result ? "" : "unsuccessful";
log.Info($"Finished {succeed} RedactorProcessing requestId: {newReqId} for {reqId} ticks: {DateTime.Now.Ticks}");
}
public static async Task Run([EventGridTrigger] JObject eventGridEvent, TraceWriter log)
{
Guid newReqId = Guid.NewGuid();
bool result = true;
string reqId = string.Empty;
try
{
log.Info($"Start EncodeProcessing requestId: {newReqId} {eventGridEvent.ToString(Formatting.Indented)} ticks: {DateTime.Now.Ticks}");
var eventGrid = eventGridEvent.ToObject <Event <VideoAssetData> >();
reqId = eventGrid.Data.RequestId;
IAsset asset = FaceHelper.GetAsset(eventGrid.Data.AssetName);
if (asset != null)
{
string assetName = eventGrid.Data.JobName + "_" + VideoAnalysisSteps.Encode;
await FaceHelper.EncodeToAdaptiveBitrateMP4Set(asset, assetName, ConfigurationManager.AppSettings["AMSPreset"]);
log.Info($"request {newReqId} for {reqId} started encode process, send event grid to start redactor process ticks: {DateTime.Now.Ticks}");
}
else
{
log.Info($"request {newReqId} for {reqId} didn't start encode no related asset name {eventGrid.Data.AssetName} ticks: {DateTime.Now.Ticks}");
}
}
catch (Exception ex)
{
log.Error($"Exception Message: {ex.Message}, requestId: {newReqId} for {reqId}, ticks: {DateTime.Now.Ticks}", ex);
result = false;
}
string succeed = result ? "" : "unsuccessful";
log.Info($"Finished {succeed} EncodeProcessing requestId: {newReqId} for {reqId} ticks: {DateTime.Now.Ticks}");
}
public static async Task Run([EventGridTrigger] JObject eventGridEvent,
[Blob("{data.url}", FileAccess.Read, Connection = "myblobconn")] Stream incomingThumbnail,
[DocumentDB("YOUR_COSMOS_DB_NAME", "YOUR_STREAN_COLLECTION_NAME", CreateIfNotExists = false, ConnectionStringSetting = "myCosmosDBConnection")] IAsyncCollector <object> outputItem,
TraceWriter log)
{
Guid requestID = Guid.NewGuid();
log.Info($"Start TriggerByStreamThumnail request id: {requestID} ticks: {DateTime.Now.Ticks}");
string eventdetails = eventGridEvent.ToString();
bool result = true;
try
{
string url = eventGridEvent["data"]["url"].ToString();
string[] splitted = url.Split('/');
if (splitted.Length > 1)
{
string name = splitted[splitted.Length - 1];
string videoname = splitted[splitted.Length - 2];
string[] splittedfilename = videoname.Split('-');
if (splittedfilename.Length == 2)
{
string source = splittedfilename[0];
result = await FaceHelper.RunDetect(requestID, ConfigurationManager.AppSettings["apis"], name, source, incomingThumbnail,
ConfigurationManager.AppSettings["streamsourcecontainername"],
ConfigurationManager.AppSettings["streamresultcontainername"], outputItem, log, videoname);
}
else
{
throw new IncorrectFileName(name);
}
}
else
{
throw new IncorrectFileName(url);
}
}
catch (Exception ex)
{
log.Error($"Exception Message: {ex.Message}, requestId: {requestID}, ticks: {DateTime.Now.Ticks}", ex);
result = false;
}
string succeed = result ? "" : "unsuccessful";
log.Info($"Finished {succeed} TriggerByStreamThumnail requestId: {requestID} details: {eventdetails} ticks: {DateTime.Now.Ticks}");
}
public static async Task Run([EventGridTrigger] JObject eventGridEvent, TraceWriter log, ExecutionContext executionContext)
{
Guid newReqId = Guid.NewGuid();
bool result = true;
string reqId = string.Empty;
try
{
log.Info($"Start CopyFaceProcessing requestId: {newReqId} {eventGridEvent.ToString(Formatting.Indented)} ticks: {DateTime.Now.Ticks}");
var eventGrid = eventGridEvent.ToObject <Event <VideoAssetData> >();
reqId = eventGrid.Data.RequestId;
IAsset asset = FaceHelper.GetAsset(eventGrid.Data.AssetName);
if (asset != null)
{
Func <string, bool> op = FaceHelper.IsPictureType;
if (eventGrid.Data.PrevStep == VideoAnalysisSteps.Subclip)
{
op = FaceHelper.IsVideoType;
}
string container = eventGrid.Data.ContainerName;
string sourceConn = ConfigurationManager.AppSettings["myamsconn"];
string targetConn = ConfigurationManager.AppSettings["myblobconn"];
await FaceHelper.CopyFromAssetToBlob(asset, sourceConn, targetConn, container, eventGrid.Data.VideoName, op);
log.Info($"request {newReqId} for {reqId} completed copy process to {container} ticks: {DateTime.Now.Ticks}");
}
else
{
log.Info($"request {newReqId} for {reqId} didn't start copy no related asset name {eventGrid.Data.AssetName} ticks: {DateTime.Now.Ticks}");
}
}
catch (Exception ex)
{
log.Error($"Exception Message: {ex.Message}, requestId: {newReqId} for {reqId}, ticks: {DateTime.Now.Ticks}", ex);
result = false;
}
string succeed = result ? "" : "unsuccessful";
log.Info($"Finished {succeed} CopyFaceProcessing requestId: {newReqId} for {reqId} ticks: {DateTime.Now.Ticks}");
}
public static async Task <object> Run([HttpTrigger(WebHookType = "genericJson")] HttpRequestMessage req, TraceWriter log)
{
Guid requestId = Guid.NewGuid();
log.Info($"Notification webhook started, request {requestId} RequestUri={req.RequestUri}");
try
{
Task <byte[]> taskForRequestBody = req.Content.ReadAsByteArrayAsync();
byte[] requestBody = await taskForRequestBody;
string jsonContent = await req.Content.ReadAsStringAsync();
log.Info($"Notification webhook request {requestId} Request Body = {jsonContent}");
IEnumerable <string> values = null;
if (req.Headers.TryGetValues("ms-signature", out values))
{
byte[] signingKey = Convert.FromBase64String(FaceHelper.SigningKey);
string signatureFromHeader = values.FirstOrDefault();
if (VerifyWebHookRequestSignature(requestBody, signatureFromHeader, signingKey))
{
string requestMessageContents = Encoding.UTF8.GetString(requestBody);
NotificationMessage msg = JsonConvert.DeserializeObject <NotificationMessage>(requestMessageContents);
if (VerifyHeaders(req, msg, log))
{
string newJobStateStr = (string)msg.Properties.Where(j => j.Key == "NewState").FirstOrDefault().Value;
if (newJobStateStr == "Finished")
{
log.Info($"Notification webhook finished for request Id:{requestId}");
IJob job = FaceHelper.MediaContext.Jobs.Where(j => j.Id == msg.Properties["JobId"]).FirstOrDefault();
if (job != null)
{
if (job.OutputMediaAssets.Count > 0)
{
IAsset asset = job.OutputMediaAssets[job.OutputMediaAssets.Count - 1]; //always we want to take the last output
string strStep = asset.Name.Substring(asset.Name.LastIndexOf('_') + 1);
string jobName = asset.Name.Substring(0, asset.Name.LastIndexOf('_'));
string videoname = jobName.Substring(0, jobName.LastIndexOf('_')) + ".mp4"; //TODO fix
string requestid = jobName.Substring(jobName.LastIndexOf('_') + 1);
log.Info($"Notification webhook finished duration: {job.RunningDuration} for request Id:{requestId} details: {strStep} {jobName} {videoname}");
VideoAnalysisSteps step;
if (Enum.TryParse(strStep, out step))
{
HttpClient client = FaceHelper.GetHttpClientForVideo(log);
VideoAnalysisSteps nextStep = VideoAnalysisSteps.Unknown;
string containerName = string.Empty;
switch (step)
{
case VideoAnalysisSteps.Encode:
nextStep = VideoAnalysisSteps.Redactor;
break;
case VideoAnalysisSteps.Redactor:
containerName = ConfigurationManager.AppSettings["videoresultcontainername"];
nextStep = VideoAnalysisSteps.Copy;
break;
case VideoAnalysisSteps.LiveRedactor:
containerName = ConfigurationManager.AppSettings["streamresultcontainername"];
nextStep = VideoAnalysisSteps.Copy;
break;
}
if (nextStep != VideoAnalysisSteps.Unknown)
{
await new SendToEventGrid(log, client).SendVideoData(new VideoAssetData()
{
RequestId = requestid,
AssetName = asset.Name,
JobName = jobName,
VideoName = videoname,
ContainerName = containerName,
Step = nextStep,
PrevStep = step,
TimeStamp = DateTime.UtcNow
});
//copy the subclip video to stream container in case it was set in the setting
if ((step == VideoAnalysisSteps.LiveRedactor) && (ConfigurationManager.AppSettings["copysubclip"] == "1") &&
(job.OutputMediaAssets.Count > 1))
{
await new SendToEventGrid(log, client).SendVideoData(new VideoAssetData()
{
RequestId = requestid,
AssetName = job.OutputMediaAssets[job.OutputMediaAssets.Count - 2].Name, //assume that the second from the last item is the subclip output
JobName = jobName,
VideoName = videoname,
ContainerName = ConfigurationManager.AppSettings["streamsourcecontainername"],
Step = VideoAnalysisSteps.Copy,
PrevStep = VideoAnalysisSteps.Subclip,
TimeStamp = DateTime.UtcNow
});
}
}
else
{
log.Info($"Notification webhookfor request Id:{requestId} didn't find next step: {nextStep}");
}
}
else
{
log.Info($"Notification webhookfor request Id:{requestId} didn't cast step: {strStep}");
}
}
else
{
log.Info($"Notification webhookfor request Id:{requestId} didn't find output asset for job: {job.Name}");
}
}
else
{
log.Info($"Notification webhookfor request Id:{requestId} didn't find jobid: {msg.Properties["JobId"]}");
}
}
return(req.CreateResponse(HttpStatusCode.OK, string.Empty));
}
else
{
log.Info($"Notification webhook for VerifyHeaders request {requestId} failed.");
return(req.CreateResponse(HttpStatusCode.BadRequest, "VerifyHeaders failed."));
}
}
else
{
log.Info($"Notification webhook for VerifyWebHookRequestSignature request {requestId} failed.");
return(req.CreateResponse(HttpStatusCode.BadRequest, "VerifyWebHookRequestSignature failed."));
}
}
}
catch (Exception ex)
{
log.Info($"Notification webhook for request Id:{requestId} failed with exception {ex.Message}");
return(req.CreateResponse(HttpStatusCode.BadRequest, "Exception Error " + ex.Message));
}
log.Info($"Notification webhook for request Id:{requestId} failed");
return(req.CreateResponse(HttpStatusCode.BadRequest, "Generic Error"));
}
public static async Task Run([EventGridTrigger] JObject eventGridEvent,
[Blob("{data.url}", FileAccess.Read, Connection = "myblobconn")] Stream incomingVideo,
TraceWriter log)
{
Guid requestID = Guid.NewGuid();
log.Info($"Start TriggerByVideoUploadFunc request id: {requestID} ticks: {DateTime.Now.Ticks}");
string eventdetails = eventGridEvent.ToString();
bool result = true;
try
{
string url = eventGridEvent["data"]["url"].ToString();
string name = url.Substring(url.LastIndexOf('/') + 1);
string nameWithoutExtension = name.Substring(0, name.IndexOf('.'));
string[] splittedfilename = name.Split('-');
if (splittedfilename.Length == 2)
{
string jobName = nameWithoutExtension + "_" + requestID;
string assetName = nameWithoutExtension + "_" + requestID + "_" + VideoAnalysisSteps.Upload;
log.Info($"started uploaded new asset for {requestID} ticks: {DateTime.Now.Ticks}");
IAsset asset = FaceHelper.CreateAssetAndUploadSingleFile(incomingVideo, assetName, AssetCreationOptions.None);
log.Info($"completed uploaded asset for {requestID} send event grid to start encode process ticks: {DateTime.Now.Ticks}");
HttpClient client = FaceHelper.GetHttpClientForVideo(log);
await new SendToEventGrid(log, client).SendVideoData(new VideoAssetData()
{
RequestId = requestID.ToString(),
ContainerName = string.Empty,
AssetName = asset.Name,
JobName = jobName,
VideoName = name,
Step = VideoAnalysisSteps.Encode,
PrevStep = VideoAnalysisSteps.Upload,
TimeStamp = DateTime.UtcNow
});
/* API V3 Not working for now */
//ConfigWrapper config = new ConfigWrapper();
//IAzureMediaServicesClient client = FaceHelper.CreateMediaServicesClient(config);
//client.LongRunningOperationRetryTimeout = 2;
//string uniqueness = Guid.NewGuid().ToString().Substring(0, 13);
//string jobName = FaceHelper.GenerateJobNameByUnique(nameWithoutExtension, uniqueness);
//string jobName = "job-" + uniqueness;
//string outputAssetName = "output-" + uniqueness;
//string inputAssetName = "input-" + uniqueness;
//string adaptiveStreamingTransformName = ConfigurationManager.AppSettings["AdaptiveStreamingTransformName"];
//EncoderNamedPreset encodePreset = ConfigurationManager.AppSettings["EncoderPreset"];
//log.Info($"init job encode process {requestID} jobName: {jobName} input: {inputAssetName} output: {outputAssetName} ticks: {DateTime.Now.Ticks}");
//Transform transform = FaceHelper.EnsureEncoderTransformExists(client,
// config.ResourceGroup, config.AccountName, adaptiveStreamingTransformName, encodePreset, log);
//log.Info($"after get transform for encode process {requestID} jobName: {jobName} ticks: {DateTime.Now.Ticks}");
//FaceHelper.CreateInputAsset(client, config.ResourceGroup, config.AccountName, inputAssetName, name, incomingVideo);
//log.Info($"after create input asset for encode process {requestID} jobName: {jobName} ticks: {DateTime.Now.Ticks}");
//JobInput jobInput = new JobInputAsset(assetName: inputAssetName);
//log.Info($"before create output asset for encode process {requestID} jobName: {jobName} ticks: {DateTime.Now.Ticks}");
//Asset outputAsset = FaceHelper.CreateOutputAsset(client, config.ResourceGroup, config.AccountName, outputAssetName);
//log.Info($"after create output asset for encode process {requestID} jobName: {jobName} input: {inputAssetName} output: {outputAssetName}");
//FaceHelper.SubmitJob(client, config.ResourceGroup, config.AccountName,
// adaptiveStreamingTransformName, jobName, jobInput, outputAssetName);
//log.Info($"after submit job encode process {requestID} jobName: {jobName} input: {inputAssetName} output: {outputAssetName} ticks: {DateTime.Now.Ticks}");
}
else
{
throw new IncorrectFileName(name);
}
}
catch (Exception ex)
{
log.Error($"Exception Message: {ex.Message}, requestId: {requestID}, details: {eventdetails}, ticks: {DateTime.Now.Ticks}", ex);
result = false;
}
string succeed = result ? "" : "unsuccessful";
log.Info($"Finished {succeed} TriggerByVideoUploadFunc requestId: {requestID} ticks: {DateTime.Now.Ticks}");
}
public static async Task Run([CosmosDBTrigger(
databaseName: "YOUR_COSMOS_DB_NAME",
collectionName: "YOUR_PHOTO_COLLECTION_NAME",
ConnectionStringSetting = "myCosmosDBConnection",
LeaseCollectionName = "leases", CreateLeaseCollectionIfNotExists = true)] IReadOnlyList <Document> documents,
TraceWriter log)
{
Guid requestID = Guid.NewGuid();
string strException = string.Empty;
log.Info($"Processing SaveResultImage request id: {requestID} document count: {documents.Count} ticks: {DateTime.Now.Ticks}");
try
{
BlobManager blobManager = new BlobManager(ConfigurationManager.AppSettings["myblobconn"]);
if (documents != null && documents.Count > 0)
{
for (int i = 0; i < documents.Count; i++)
{
var doc = JsonConvert.DeserializeObject <FaceIdentifyResult>(documents[i].ToString());
if (doc.DetectResultList.Length > 0)
{
using (MemoryStream stream = await blobManager.DownloadAsync(doc.ContainerName, doc.BlobName))
{
for (int j = 0; j < doc.DetectResultList.Length; j++)
{
log.Info($"Save new face candidate {requestID} face id: {doc.DetectResultList[j].FaceId} ticks: {DateTime.Now.Ticks}");
string resultBlobName = doc.DetectResultList[j].FaceBlobName;
//TODO : find better way to calc the x,y
int x = doc.DetectResultList[j].FaceRectangle.Left - 100;
int y = doc.DetectResultList[j].FaceRectangle.Top - 100;
int width = (int)Math.Round(doc.DetectResultList[j].FaceRectangle.Width * 2.5);
int height = (int)Math.Round(doc.DetectResultList[j].FaceRectangle.Height * 2.5);
Rectangle sourceRectangle = new Rectangle(x, y, width, height);
Rectangle destinationRectangle = new Rectangle(0, 0, width, height);
Bitmap croppedImage = new Bitmap(destinationRectangle.Width, destinationRectangle.Height, PixelFormat.Format24bppRgb);
using (Bitmap src = Image.FromStream(stream) as Bitmap)
{
croppedImage.SetResolution(src.HorizontalResolution, src.VerticalResolution);
using (Graphics g = Graphics.FromImage(croppedImage))
{
g.InterpolationMode = InterpolationMode.HighQualityBicubic;
g.CompositingQuality = CompositingQuality.HighQuality;
g.SmoothingMode = SmoothingMode.HighQuality;
g.PixelOffsetMode = PixelOffsetMode.HighQuality;
g.DrawImage(src, destinationRectangle, sourceRectangle, GraphicsUnit.Pixel);
using (var newStream = FaceHelper.ToStream(croppedImage, src.RawFormat))
{
Task t1 = blobManager.UploadAsync(doc.ResultContainerName, resultBlobName, newStream);
t1.Wait();
}
}
}
}
}
}
else
{
log.Info($"SaveResultImage requestId: {requestID} no detection for {doc.BlobName} ticks: {DateTime.Now.Ticks}");
}
}
}
else
{
log.Info($"SaveResultImage requestId: {requestID} no documents received ticks: {DateTime.Now.Ticks}");
}
}
catch (Exception ex)
{
log.Error($"Exception Message: {ex.Message}, requestId: {requestID}, ticks: {DateTime.Now.Ticks}", ex);
strException = "unsuccessfully";
}
log.Info($"Finished {strException} SaveResultImage requestId: {requestID} ticks: {DateTime.Now.Ticks}");
}
public static ManifestTimingData GetManifestTimingData(IAsset asset, TraceWriter log)
{
ManifestTimingData response = new ManifestTimingData()
{
IsLive = false, Error = false, TimestampOffset = 0, TimestampList = new List <ulong>()
};
try
{
ILocator mytemplocator = null;
Uri myuri = FaceHelper.GetValidOnDemandURI(asset);
if (myuri == null)
{
mytemplocator = CreatedTemporaryOnDemandLocator(asset);
myuri = FaceHelper.GetValidOnDemandURI(asset);
}
if (myuri != null)
{
XDocument manifest = XDocument.Load(myuri.ToString());
var smoothmedia = manifest.Element("SmoothStreamingMedia");
var videotrack = smoothmedia.Elements("StreamIndex").Where(a => a.Attribute("Type").Value == "video");
string timescalefrommanifest = smoothmedia.Attribute("TimeScale").Value;
if (videotrack.FirstOrDefault().Attribute("TimeScale") != null) // there is timescale value in the video track. Let's take this one.
{
timescalefrommanifest = videotrack.FirstOrDefault().Attribute("TimeScale").Value;
}
ulong timescale = ulong.Parse(timescalefrommanifest);
response.TimeScale = (ulong?)timescale;
if (videotrack.FirstOrDefault().Element("c").Attribute("t") != null)
{
response.TimestampOffset = ulong.Parse(videotrack.FirstOrDefault().Element("c").Attribute("t").Value);
}
else
{
response.TimestampOffset = 0; // no timestamp, so it should be 0
}
ulong totalduration = 0;
ulong durationpreviouschunk = 0;
ulong durationchunk;
int repeatchunk;
foreach (var chunk in videotrack.Elements("c"))
{
durationchunk = chunk.Attribute("d") != null?ulong.Parse(chunk.Attribute("d").Value) : 0;
repeatchunk = chunk.Attribute("r") != null?int.Parse(chunk.Attribute("r").Value) : 1;
totalduration += durationchunk * (ulong)repeatchunk;
if (chunk.Attribute("t") != null)
{
//totalduration = ulong.Parse(chunk.Attribute("t").Value) - response.TimestampOffset; // new timestamp, perhaps gap in live stream....
response.TimestampList.Add(ulong.Parse(chunk.Attribute("t").Value));
}
else
{
response.TimestampList.Add(response.TimestampList[response.TimestampList.Count() - 1] + durationpreviouschunk);
}
for (int i = 1; i < repeatchunk; i++)
{
response.TimestampList.Add(response.TimestampList[response.TimestampList.Count() - 1] + durationchunk);
}
durationpreviouschunk = durationchunk;
}
response.TimestampEndLastChunk = response.TimestampList[response.TimestampList.Count() - 1] + durationpreviouschunk;
if (smoothmedia.Attribute("IsLive") != null && smoothmedia.Attribute("IsLive").Value == "TRUE")
{ // Live asset.... No duration to read (but we can read scaling and compute duration if no gap)
response.IsLive = true;
response.AssetDuration = TimeSpan.FromSeconds((double)totalduration / ((double)timescale));
}
else
{
totalduration = ulong.Parse(smoothmedia.Attribute("Duration").Value);
response.AssetDuration = TimeSpan.FromSeconds((double)totalduration / ((double)timescale));
}
}
else
{
response.Error = true;
}
if (mytemplocator != null)
{
mytemplocator.Delete();
}
}
catch (Exception)
{
response.Error = true;
}
return(response);
}
public static async Task <bool> RunDetect(Guid requestID, string apis, string name, string source,
Stream incomingPicture, string sourceContainerName, string resultContainerName, IAsyncCollector <object> outputItem, TraceWriter log, string videoName = null)
{
string apikey = string.Empty;
try
{
string[] apiArr = apis.Split(',');
int randomApi = FaceHelper.Instance.Next(0, apiArr.Length);
apikey = apiArr[randomApi];
log.Info($"RunDetect request id: {requestID} apiKey: {apikey} ticks: {DateTime.Now.Ticks}");
Tuple <HttpClient, PolicyWrap <HttpResponseMessage> > tuple = FaceHelper.HttpClientList.GetOrAdd(apikey, new Tuple <HttpClient, PolicyWrap <HttpResponseMessage> >(
new HttpClient(),
FaceHelper.DefineAndRetrieveResiliencyStrategy(log)));
HttpClient client = tuple.Item1;
PolicyWrap <HttpResponseMessage> policy = tuple.Item2;
IDatabase cache = FaceHelper.Connection.GetDatabase(int.Parse(FaceHelper.Connection.GetDatabase(1).StringGet(apikey)));
//the large group id it's based on the mac address we get - each MAC address can work with different face api group
string largegroupid = ConfigurationManager.AppSettings[source];
if (videoName == null)
{
log.Info($"Detecting {name} requestId: {requestID} apiKey: {apikey} ticks: {DateTime.Now.Ticks}");
}
else
{
log.Info($"Detecting thumbnail {name} from {videoName} requestId: {requestID} apiKey: {apikey} ticks: {DateTime.Now.Ticks}");
}
byte[] pictureImage;
// Convert the incoming image stream to a byte array.
using (var br = new BinaryReader(incomingPicture))
{
pictureImage = br.ReadBytes((int)incomingPicture.Length);
}
var detectionResult = await new FaceDetect(log, client).DetectFaces(pictureImage, apikey, requestID, policy);
if ((detectionResult != null) && (detectionResult.Length > 0))
{
//prepare identify request
int maxCandidate = int.Parse(ConfigurationManager.AppSettings["maxNumOfCandidatesReturned"]);
double threshold = double.Parse(ConfigurationManager.AppSettings["confidenceThreshold"]);
var identifyResquest = new FaceIdentifyRequest()
{
ConfidenceThreshold = threshold,
MaxNumOfCandidatesReturned = maxCandidate,
LargePersonGroupId = largegroupid,
FaceIds = detectionResult.Select(s => s.FaceId).ToArray()
};
var identifyResult = await new FaceIdentify(log, client).IdentifyFaces(identifyResquest, apikey, requestID, policy);
if ((identifyResult == null) || (identifyResult.Length == 0))
{
log.Info($"No identification result requestId: {requestID}, apiKey:{apikey} ticks: {DateTime.Now.Ticks}");
}
var personResult = new PersonDetails(log, client);
//merging results and find person name
for (int i = 0; i < detectionResult.Length; i++)
{
if (videoName == null)
{
detectionResult[i].FaceBlobName = string.Concat(detectionResult[i].FaceId, "_", name);
}
else
{
detectionResult[i].FaceBlobName = videoName + "/" + name;
}
if ((identifyResult != null) && (identifyResult.Length > 0))
{
detectionResult[i].Candidates = identifyResult[i].Candidates;
for (int j = 0; j < detectionResult[i].Candidates.Length; j++)
{
string personid = detectionResult[i].Candidates[j].PersonId.ToString();
string personName = cache.StringGet(largegroupid + "-" + personid);
if (string.IsNullOrEmpty(personName) == true)
{
log.Info($"Missing cache requestId: {requestID} apiKey: {apikey} personId: {personid} ticks: {DateTime.Now.Ticks}");
var tPerson = await personResult.GetPersonName(personid, apikey, largegroupid, requestID, policy);
personName = tPerson.Name;
cache.StringSet(largegroupid + "-" + personid, personName, null, When.Always);
}
detectionResult[i].Candidates[j].PersonName = new InternalPersonDetails()
{
PersonId = detectionResult[i].Candidates[j].PersonId,
Name = personName
};
}
}
}
}
else
{
log.Info($"No dectection result requestId: {requestID}, apiKey:{apikey} ticks: {DateTime.Now.Ticks}");
//in case of video, we want to create a link to the face detected by AMS (Azure Media Services) although face api didn't recognize it
if (videoName != null)
{
detectionResult = new FaceDetectResult[1] {
new FaceDetectResult()
{
FaceBlobName = videoName + "/" + name
}
}
}
;
}
string blobname = videoName ?? name;
var actionResult = new FaceIdentifyResult()
{
BlobName = blobname,
ContainerName = sourceContainerName,
ResultContainerName = resultContainerName,
BlobLength = incomingPicture.Length,
CreatedDateTime = DateTime.UtcNow,
RequestId = requestID,
ApiKey = apikey,
LargeGroupId = largegroupid,
Source = source,
DetectResultList = detectionResult
};
string strResult = JsonConvert.SerializeObject(actionResult);
await outputItem.AddAsync(strResult);
}
catch (Exception ex)
{
log.Error($"Exception Message: {ex.Message}, requestId: {requestID}, apiKey:{apikey} ticks: {DateTime.Now.Ticks}", ex);
return(false);
}
return(true);
}
public static HttpClient GetHttpClientForVideo(TraceWriter log)
{
Tuple <HttpClient, PolicyWrap <HttpResponseMessage> > tuple = HttpClientList.GetOrAdd("video", new Tuple <HttpClient, PolicyWrap <HttpResponseMessage> >(
new HttpClient(),
FaceHelper.DefineAndRetrieveResiliencyStrategy(log)));
return(tuple.Item1);
}
public static async Task <HttpResponseMessage> Run([HttpTrigger(AuthorizationLevel.Function, "get", "post", Route = null)] HttpRequestMessage req, TraceWriter log)
{
Guid requestID = Guid.NewGuid();
try
{
log.Info($"LoadPersonGroup was triggered request id {requestID}");
string largepersongroupid = req.GetQueryNameValuePairs()
.FirstOrDefault(q => string.Compare(q.Key, "groupid", true) == 0)
.Value;
if (largepersongroupid == null)
{
// Get request body
dynamic data = await req.Content.ReadAsAsync <object>();
largepersongroupid = data?.groupid;
}
if (largepersongroupid != null)
{
string apis = ConfigurationManager.AppSettings["apis"];
string[] apiArr = apis.Split(',');
if (apiArr.Length > 0)
{
_loadPersonClient = _loadPersonClient ?? new HttpClient();
PolicyWrap <HttpResponseMessage> resilientPolicy = FaceHelper.DefineAndRetrieveResiliencyStrategy(log);
int i;
//setting the map of api to database in database 1
IDatabase cache = Connection.GetDatabase(1);
for (i = 1; i <= apiArr.Length; i++)
{
cache.StringSet(apiArr[i - 1], i + 1);
}
var personResult = new ListPersonGroup(log, _loadPersonClient);
for (i = 1; i <= apiArr.Length; i++)
{
bool isComplete = false;
string lastPerson = string.Empty;
Task <InternalPersonDetails[]> task;
List <InternalPersonDetails> personList = new List <InternalPersonDetails>();
cache = Connection.GetDatabase(i + 1);
while (!isComplete)
{
task = personResult.GetListPersonGroup(lastPerson, apiArr[i - 1], largepersongroupid, requestID, resilientPolicy);
task.Wait();
if (task.Result.Length < 1000)
{
isComplete = true;
}
if (task.Result.Length > 0)
{
lastPerson = task.Result[task.Result.Length - 1].PersonId.ToString();
personList.AddRange(task.Result.ToList());
}
int loop = task.Result.Length / 100;
var tmplist = task.Result.ToList();
int k = 0, len = 0;
for (k = 0; k < loop; k++)
{
var tmpinnerlist = tmplist.GetRange(k * 100, 100);
len += tmpinnerlist.Count;
cache.StringSet(tmpinnerlist.Select(s =>
new KeyValuePair <RedisKey, RedisValue>(largepersongroupid + "-" + s.PersonId, s.Name)).ToArray(), When.Always);
}
if (tmplist.Count - len > 0)
{
var tmpinnerlist = tmplist.GetRange(k * 100, tmplist.Count - len);
cache.StringSet(tmpinnerlist.Select(s =>
new KeyValuePair <RedisKey, RedisValue>(largepersongroupid + "-" + s.PersonId, s.Name)).ToArray(), When.Always);
}
}
}
return(req.CreateResponse(HttpStatusCode.OK, "Redis loaded successfully"));
}
else
{
string msg = "List of Api setting is empty";
log.Error($"Error-LoadPersonGroup: {msg} requestId: {requestID} ticks: {DateTime.Now.Ticks}");
return(req.CreateResponse(HttpStatusCode.BadRequest, "List of Api setting is empty"));
}
}
else
{
string msg = "Please pass a large person group id on the query string or in the request body";
log.Error($"Error-LoadPersonGroup: {msg} requestId: {requestID} ticks: {DateTime.Now.Ticks}");
return(req.CreateResponse(HttpStatusCode.BadRequest, msg));
}
}
catch (Exception e)
{
log.Error($"Exception-LoadPersonGroup: {e.Message} requestId: {requestID} ticks: {DateTime.Now.Ticks}", e);
return(req.CreateResponse(HttpStatusCode.BadRequest, e.Message));
}
}
public static async Task <HttpResponseMessage> Run([HttpTrigger(AuthorizationLevel.Function, "get", "post", Route = null)] HttpRequestMessage req, TraceWriter log,
ExecutionContext execContext)
{
Guid requestID = Guid.NewGuid();
log.Info($"Start TriggerLiveStream request id: {requestID} ticks: {DateTime.Now.Ticks}");
int lastTableId = 0;
int intervalsec = 60;
TimeSpan starttime = TimeSpan.FromSeconds(0);
try
{
string triggerStart = DateTime.UtcNow.ToString("o");
string jsonContent = await req.Content.ReadAsStringAsync();
dynamic data = JsonConvert.DeserializeObject(jsonContent);
log.Info($"TriggerLiveStream request id: {requestID} content: {jsonContent}");
if (data.channelName == null || data.programName == null)
{
log.Error($"TriggerLiveStream request id: {requestID} no channel name and program name in the input object");
return(req.CreateResponse(HttpStatusCode.BadRequest, new
{
error = "Please pass channel name and program name in the input object (channelName, programName)"
}));
}
if (data.intervalSec != null)
{
intervalsec = (int)data.intervalSec;
}
string restApiEndpoint = ConfigurationManager.AppSettings["AMSRESTAPIEndpoint"];
// find the Channel, Program and Asset
string channelName = (string)data.channelName;
var channel = FaceHelper.MediaContext.Channels.Where(c => c.Name == channelName).FirstOrDefault();
if (channel == null)
{
log.Error($"TriggerLiveStream request id: {requestID} channel not found");
return(req.CreateResponse(HttpStatusCode.BadRequest, new
{
error = "Channel not found"
}));
}
string programName = (string)data.programName;
var program = channel.Programs.Where(p => p.Name == programName).FirstOrDefault();
if (program == null)
{
log.Error($"TriggerLiveStream request id: {requestID} program not found");
return(req.CreateResponse(HttpStatusCode.BadRequest, new
{
error = "Program not found"
}));
}
string programState = program.State.ToString();
string programid = program.Id;
var asset = FaceHelper.GetAssetFromProgram(programid);
if (asset == null)
{
log.Info($"TriggerLiveStream Program asset not found for program {programid}");
return(req.CreateResponse(HttpStatusCode.BadRequest, new
{
error = "Program asset not found"
}));
}
log.Info($"TriggerLiveStream request id: {requestID} using program asset Id : {asset.Id}");
CloudTable table = FaceHelper.GetCloudTable(ConfigurationManager.AppSettings["myamsconn"], "liveanalytics");
var lastendtimeInTable = FaceHelper.RetrieveLastEndTime(table, programid);
var assetmanifestdata = FaceHelper.GetManifestTimingData(asset, log);
//log.Info($"request id: {requestID} timestamps: " + string.Join(",", assetmanifestdata.TimestampList.Select(n => n.ToString()).ToArray()));
var livetime = TimeSpan.FromSeconds((double)assetmanifestdata.TimestampEndLastChunk / (double)assetmanifestdata.TimeScale);
starttime = FaceHelper.ReturnTimeSpanOnGOP(assetmanifestdata, livetime.Subtract(TimeSpan.FromSeconds(intervalsec)));
log.Info($"TriggerLiveStream request id: {requestID} value starttime: {starttime} livetime: {livetime}");
if (lastendtimeInTable != null)
{
string lastProgramState = lastendtimeInTable.ProgramState;
var lastendtimeInTableValue = TimeSpan.Parse(lastendtimeInTable.LastEndTime);
lastTableId = int.Parse(lastendtimeInTable.Id);
log.Info($"TriggerLiveStream request id: {requestID} value id retrieved: {lastTableId} ProgramState: {lastProgramState} lastendtimeInTable: {lastendtimeInTableValue}");
if (lastendtimeInTableValue != null)
{
var delta = (livetime - lastendtimeInTableValue - TimeSpan.FromSeconds(intervalsec)).Duration();
log.Info($"TriggerLiveStream request id: {requestID} delta: {delta}");
if (delta < (TimeSpan.FromSeconds(3 * intervalsec))) // less than 3 times the normal duration
{
starttime = lastendtimeInTableValue;
log.Info($"TriggerLiveStream request id: {requestID} value new starttime : {starttime}");
}
}
}
TimeSpan duration = livetime - starttime;
log.Info($"TriggerLiveStream request id: {requestID} value duration: {duration}");
string fileName = channelName + "-" + programName + "_" + requestID + ".mp4";
string configurationSubclip =
File.ReadAllText(Directory.GetParent(execContext.FunctionDirectory).FullName + "\\streamconfig.json").Replace("0:00:00.000000",
starttime.Subtract(TimeSpan.FromMilliseconds(100)).ToString()).Replace("0:00:30.000000", duration.Add(TimeSpan.FromMilliseconds(200)).ToString())
.Replace("ArchiveTopBitrate_{Basename}.mp4", fileName);
string configurationRedactor = File.ReadAllText(Directory.GetParent(execContext.FunctionDirectory).FullName + "\\config.json");
int priority = 10;
if (data.priority != null)
{
priority = (int)data.priority;
}
string outputAssetSubclip = fileName + "_" + VideoAnalysisSteps.Subclip;
string outputAssetLiveRedactor = fileName + "_" + VideoAnalysisSteps.LiveRedactor;
await FaceHelper.RunSubclippingWithRedactor(asset, fileName, outputAssetSubclip, outputAssetLiveRedactor,
priority, configurationSubclip, configurationRedactor);
log.Info($"TriggerLiveStream request id: {requestID} filename: {fileName} job Submitted");
lastTableId++;
FaceHelper.UpdateLastEndTime(table, starttime + duration, programid, lastTableId, program.State);
}
catch (Exception ex)
{
log.Error($"Exception Message: {ex.Message}, requestId: {requestID}, ticks: {DateTime.Now.Ticks}", ex);
return(req.CreateResponse(HttpStatusCode.BadRequest, "Completed with error sub cliping " + ex.Message));
}
return(req.CreateResponse(HttpStatusCode.OK, "Complete OK sub cliping"));
}
private async Task <FaceDetectResult[]> MakeFaceDetectRequest(byte[] imageBytes, string apiKey, Guid requestId, PolicyWrap <HttpResponseMessage> policy)
{
_log.Info($"Making detect request requestId: {requestId} apiKey:{apiKey} ticks: {DateTime.Now.Ticks}");
string strResult = string.Empty;
FaceDetectResult[] result = null;
// Request parameters.
const string requestParameters = "returnFaceId=true&returnFaceLandmarks=false";
// Get the API URL and the API key from settings.
var uriBase = ConfigurationManager.AppSettings["faceDetectApiUrl"];
// Configure the HttpClient request headers.
_client.DefaultRequestHeaders.Clear();
_client.DefaultRequestHeaders.Accept.Clear();
_client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", apiKey);
//_client.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));
// Assemble the URI for the REST API Call.
var uri = uriBase + "?" + requestParameters;
try
{
// Execute the REST API call, implementing our resiliency strategy.
HttpResponseMessage response = await policy.ExecuteAsync(() => _client.PostAsync(uri, FaceHelper.GetImageHttpContent(imageBytes)));
// Get the JSON response.
strResult = await response.Content.ReadAsStringAsync();
result = await response.Content.ReadAsAsync <FaceDetectResult[]>();
_log.Info($"detect completed: {strResult} requestId: {requestId} apiKey:{apiKey} ticks: {DateTime.Now.Ticks}");
}
catch (BrokenCircuitException bce)
{
_log.Error($"Could not contact the Face API service due to the following error: {bce.Message} requestId: {requestId} apiKey:{apiKey} ticks: {DateTime.Now.Ticks}", bce);
}
catch (Exception e)
{
_log.Error($"Critical error-MakeFaceDetectRequest: {e.Message} requestId: {requestId} apiKey:{apiKey} string result:{strResult} ticks: {DateTime.Now.Ticks}", e);
}
return(result);
}
private async Task <FaceDetectResult[]> MakeFaceIdentifyRequest(FaceIdentifyRequest req, string apiKey, Guid requestId, PolicyWrap <HttpResponseMessage> policy)
{
string strResult = string.Empty;
StringBuilder faceids = new StringBuilder();
req.FaceIds.ToList().ForEach(s => faceids.Append(s + " "));
_log.Info($"Making identify request faceids: {faceids} requestId: {requestId} apiKey:{apiKey} ticks: {DateTime.Now.Ticks}");
FaceDetectResult[] result = null;
// Get the API URL and the API key from settings.
var uri = ConfigurationManager.AppSettings["faceIdentifyApiUrl"];
// Configure the HttpClient request headers.
_client.DefaultRequestHeaders.Clear();
_client.DefaultRequestHeaders.Accept.Clear();
_client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", apiKey);
//_client.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));
try
{
// Execute the REST API call, implementing our resiliency strategy.
HttpResponseMessage response = await policy.ExecuteAsync(() => _client.PostAsync(uri, FaceHelper.GetIdentifyHttpContent(req)));
// Get the JSON response.
strResult = await response.Content.ReadAsStringAsync();
result = await response.Content.ReadAsAsync <FaceDetectResult[]>();
_log.Info($"identify completed: {strResult} requestId: {requestId} apiKey:{apiKey} ticks: {DateTime.Now.Ticks}");
}
catch (BrokenCircuitException bce)
{
_log.Error($"Could not contact the Face API service due to the following error: {bce.Message} requestId: {requestId} apiKey:{apiKey} ticks: {DateTime.Now.Ticks}", bce);
}
catch (Exception e)
{
_log.Error($"Critical error-MakeFaceIdentifyRequest: {e.Message} requestId: {requestId} apiKey:{apiKey} string result:{strResult} ticks: {DateTime.Now.Ticks}", e);
}
return(result);
}