//Visitors
public async Task <IdentifiedVisitor> CreateVisitorAsync(IdentifiedVisitor identifiedVisitor)
{
//TODO: Validate if the visitor exists
identifiedVisitor.CreatedAt = DateTime.UtcNow;
identifiedVisitor.IsActive = true;
identifiedVisitor.IsDeleted = false;
identifiedVisitor.PartitionKey = string.IsNullOrEmpty(identifiedVisitor.PartitionKey) ? AppConstants.DbColIdentifiedVisitorPartitionKeyValue : identifiedVisitor.PartitionKey;
identifiedVisitor.Id = $"{Guid.NewGuid().ToString()}-{identifiedVisitor.PartitionKey}";
var cognitivePerson = await FaceServiceHelper.CreatePersonAsync(identifiedVisitor.GroupId, identifiedVisitor.Name, identifiedVisitor.Id);
identifiedVisitor.PersonDetails = cognitivePerson;
double?age = null;
Gender?gender = null;
foreach (var photo in identifiedVisitor.Photos)
{
if (!photo.IsSaved)
{
photoData = photo.PhotoData;
var photoFileExtension = Path.GetExtension(photo.Name);
var newPhotoFileName = $"{identifiedVisitor.Id}-{identifiedVisitor.Photos.IndexOf(photo) + 1}{photoFileExtension}";
//Only accept photos with single face
var detectedFaces = await FaceServiceHelper.DetectWithStreamAsync(GetPhotoStream, returnFaceAttributes : faceAttributes);
if (detectedFaces.Count == 0)
{
photo.Status = "Invalid: No faces detected in photo";
continue;
}
else if (detectedFaces.Count > 1)
{
photo.Status = "Invalid: More than 1 face detected in photo. Only photos with single face can be used to train";
continue;
}
//Upload the new photo to storage
photo.Url = await storageRepo.CreateFileAsync(newPhotoFileName, photo.PhotoData);
age = detectedFaces[0].FaceAttributes.Age;
gender = detectedFaces[0].FaceAttributes.Gender;
var persistedFace = await AddVisitorPhotoAsync(identifiedVisitor.GroupId, cognitivePerson.PersonId, photo.Url, detectedFaces[0].FaceRectangle);
//Update photo details
photo.IsSaved = true;
photo.Name = newPhotoFileName;
photo.Status = "Saved";
}
}
//Save the new identified visitor details to database
identifiedVisitor.Age = age.HasValue ? age.Value : 0;
identifiedVisitor.Gender = gender.HasValue ? gender.ToString() : "NA";
var result = await identifiedVisitorRepo.AddAsync(identifiedVisitor);
return(result);
}
public async Task <IdentifiedVisitor> UpdateVisitorAsync(IdentifiedVisitor identifiedVisitor)
{
if (identifiedVisitor == null)
{
throw new InvalidDataException("No visitor data");
}
if (identifiedVisitor.Photos != null && identifiedVisitor.Photos.Count > 0)
{
double?age = null;
Gender?gender = null;
foreach (var photo in identifiedVisitor.Photos)
{
if (!photo.IsSaved)
{
photoData = photo.PhotoData;
var photoFileExtension = Path.GetExtension(photo.Name);
var newPhotoFileName = $"{identifiedVisitor.Id}-{identifiedVisitor.Photos.IndexOf(photo) + 1}{photoFileExtension}";
//Only accept photos with single face
var detectedFaces = await FaceServiceHelper.DetectWithStreamAsync(GetPhotoStream, returnFaceAttributes : faceAttributes);
if (detectedFaces.Count == 0)
{
photo.Status = "Invalid: No faces detected in photo";
continue;
}
else if (detectedFaces.Count > 1)
{
photo.Status = "Invalid: More than 1 face detected in photo. Only photos with single face can be used to train";
continue;
}
//Upload the new photo to storage
photo.Url = await storageRepo.CreateFileAsync(newPhotoFileName, photo.PhotoData);
age = detectedFaces[0].FaceAttributes.Age;
gender = detectedFaces[0].FaceAttributes.Gender;
var persistedFace = await AddVisitorPhotoAsync(identifiedVisitor.GroupId, identifiedVisitor.PersonDetails.PersonId, photo.Url, detectedFaces[0].FaceRectangle);
//Update photo details
photo.IsSaved = true;
photo.Name = newPhotoFileName;
photo.Status = "Saved";
}
}
}
await identifiedVisitorRepo.UpdateAsync(identifiedVisitor);
return(identifiedVisitor);
}
