public async Task <HttpResponseMessage> ProcessPhotoPostAsync(string personGroupId, string personId)
{
InitEnvironment();
#region Step1-Step2. 첨부된 파일을 Web App의 Map Path에 복사하고, 이를 Blob Container에 업로드
MultipartFormdataStreamBlobUploader multipartFormdataStreamBlobUploader = new MultipartFormdataStreamBlobUploader(provider, storageAccount, container);
listUrlBlob = await multipartFormdataStreamBlobUploader.UploadAttachedFileToBlobContainer(this.Request, blobPrefixString);
#endregion
// 변수 만들기 PhotoUploadedResult
// try 안에서 할당
// 스텝4에서 활용
PhotoUploadedResult photoUploadedResult;
HttpResponseMessage message;
#region Step3. 저장한 blob 위치를 json body로 반환
try
{
if (listUrlBlob.Count > 0)
{
photoUploadedResult = new PhotoUploadedResult(personGroupId, personId, listUrlBlob[0].url);
message = Request.CreateResponse(HttpStatusCode.OK, photoUploadedResult);
}
else
{
photoUploadedResult = new PhotoUploadedResult(personGroupId, personId, "");
message = Request.CreateResponse(HttpStatusCode.OK, photoUploadedResult);
}
}
catch (Exception e)
{
Trace.WriteLine("Exception occurred while reading returningBlobUrl.");
return(Request.CreateErrorResponse(HttpStatusCode.InternalServerError, e));
}
#endregion
#region Step4. Queue에도 전송
try {
CloudQueueMessage messageQueue = new CloudQueueMessage(JsonConvert.SerializeObject(photoUploadedResult));
queue.AddMessage(messageQueue);
Trace.WriteLine("BlobInQueue: " + JsonConvert.SerializeObject(photoUploadedResult));
}
catch (Exception e)
{
Trace.WriteLine("Exception occurred while sending message to queue.");
return(Request.CreateErrorResponse(HttpStatusCode.InternalServerError, e));
}
return(message);
#endregion
}
public async Task <HttpResponseMessage> ProcessIdcardPostAsync()
{
InitEnvironment();
#region Step1-Step2. 첨부된 파일을 Web App의 Map Path에 복사하고, 이를 Blob Container에 업로드
MultipartFormdataStreamBlobUploader multipartFormdataStreamBlobUploader = new MultipartFormdataStreamBlobUploader(provider, storageAccount, container);
listUrlBlob = await multipartFormdataStreamBlobUploader.UploadAttachedFileToBlobContainer(this.Request, blobPrefixString);
#endregion
#region Step3. 저장한 blob 위치를 인지서비스에 전달하여 OCR 및 Face 정보 추출
try
{
foreach (UrlBlob urlBlob in listUrlBlob)
{
//OCR 호출
List <string> contentsOcr = await CognitiveServicesCallHelper.CognitiveServicePostAsync(
CloudConfigurationManager.GetSetting("CognitiveServicesKeyVision"),
"https://eastasia.api.cognitive.microsoft.com/vision/v1.0/ocr?language=ko&detectOrientation=true",
urlBlob.url);
//OCR 결과를 건별로 Queue에 넣음, trace 표시
foreach (string content in contentsOcr)
{
CloudQueueMessage message = new CloudQueueMessage(content);
queue.AddMessage(message);
Trace.WriteLine("OCR: " + content);
}
//Face Detection 호출
List <string> contentsFace = await CognitiveServicesCallHelper.CognitiveServicePostAsync(
CloudConfigurationManager.GetSetting("CognitiveServicesKeyVision"),
"https://eastasia.api.cognitive.microsoft.com/face/v1.0/detect?returnFaceAttributes=age,gender,headPose,glasses,accessories",
urlBlob.url);
//Face 결과를 trace 표시
foreach (string content in contentsFace)
{
List <FaceDetectResult> faceDetectResults = JsonConvert.DeserializeObject <List <FaceDetectResult> >(content);
if (faceDetectResults.Count > 0)
{
Trace.WriteLine("Face: " + content);
Trace.WriteLine("FaceId: " + faceDetectResults[0].faceId);
HttpResponseMessage message = Request.CreateResponse(HttpStatusCode.OK, new JsonFaceId(faceDetectResults[0].faceId));
return(message);
}
}
}
// return empty FaceId if no faces were found.
return(Request.CreateResponse(HttpStatusCode.OK, new JsonFaceId("")));
}
catch (Exception e)
{
return(Request.CreateErrorResponse(HttpStatusCode.InternalServerError, e));
}
#endregion
}
