public static async Task <HttpResponseMessage> Run([HttpTrigger(AuthorizationLevel.Anonymous, "get", "post",
Route = null)] HttpRequestMessage req, TraceWriter log)
{
log.Info("C# HTTP trigger function processed a request.");
HttpResponseMessage response;
try {
PhotoToProcessDTO photoToProcessDTO = JsonConvert.DeserializeObject <PhotoToProcessDTO>(await req.Content.ReadAsStringAsync());
PhotoInfoDTO photoInfo = ProcessPhotoAsync(photoToProcessDTO.PhotoAsByteArray,
photoToProcessDTO.RecognizeEmotions, log);
if (photoInfo.FoundAndProcessedFaces)
{
SaveToDatabase(photoToProcessDTO.PhotoAsByteArray, photoInfo, log);
}
var json = JsonConvert.SerializeObject(photoInfo);
response = new HttpResponseMessage(HttpStatusCode.OK)
{
Content = new StringContent(json, Encoding.UTF8, "application/json")
};
}
catch (Exception e) {
response = new HttpResponseMessage(HttpStatusCode.BadRequest)
{
Content = new StringContent("{\"exception_message\": \"" + e.Message + "\"}",
Encoding.UTF8, "application/json")
};
}
return(response);
}
private static async Task SaveToDatabase(byte[] photoAsByteArray, PhotoInfoDTO photoInfoDTO, TraceWriter log)
{
string new_elem_guid = Guid.NewGuid().ToString();
SingleFaceFaceAPIInfoDTO singleFaceFaceApiInfo = new SingleFaceFaceAPIInfoDTO {
FaceRectangle = new Rectangle(0, 0, 0, 0),
Age = double.Parse(photoInfoDTO.Age),
Emotion = photoInfoDTO.Emotion,
Gender = photoInfoDTO.Gender
};
SavePhotoMetaToDatabase(new_elem_guid, singleFaceFaceApiInfo, "photosInfo", log);
SavePhotoToDatabase(new_elem_guid, photoAsByteArray, "photos", log);
}
public static PhotoInfoDTO ProcessPhotoAsync(byte[] photoAsByteArray, bool recognizeEmotions, TraceWriter log)
{
HttpClient client = new HttpClient();
string emotion = "";
FaceAPIInfoDTO faceAPIInfoDTO = new FaceAPIInfoDTO()
{
Age = "",
FaceCountAsString = "",
Gender = "",
FoundAndProcessedFaces = false
};
List <SingleFaceFaceAPIInfoDTO> facesInfo = new List <SingleFaceFaceAPIInfoDTO>();
Task[] tasks = new Task[2];
tasks[0] = Task.Run(async() => {
if (recognizeEmotions)
{
try {
emotion = (await RecognizeEmotionsAsync(client, photoAsByteArray)).Item1;
}
catch (Exception e) {
log.Error("Error when using emotions api! Exception message: " + e.Message);
}
}
});
tasks[1] = Task.Run(async() => {
try {
var analysisResult = await AnalyzeFacesAsync(client, photoAsByteArray);
faceAPIInfoDTO = analysisResult.Item1;
facesInfo = analysisResult.Item2;
}
catch (Exception e) {
log.Error("Error when using face api! Exception message: " + e.Message);
}
});
Task.WaitAll(tasks);
CropAndSaveToDb(facesInfo, photoAsByteArray, log);
PhotoInfoDTO photoInfo = new PhotoInfoDTO {
Age = faceAPIInfoDTO.Age,
Emotion = emotion,
FaceCountAsString = faceAPIInfoDTO.FaceCountAsString,
Gender = faceAPIInfoDTO.Gender,
FoundAndProcessedFaces = faceAPIInfoDTO.FoundAndProcessedFaces
};
return(photoInfo);
}
