public async static void Run([BlobTrigger("kyccontainer/{name}", Connection = "AzureWebJobsStorage")] Stream blob, string name, TraceWriter log)
{
try
{
log.Info($"Azure blob function triggered for the passport image: {name}");
// Resolve assembly
FunctionsAssemblyResolver.StaticInstance();
// Using AbbyyCloudOCR to extract Passport details
RestServiceClient restClient = new RestServiceClient();
// Convert stream into image stream
MemoryStream streamOut = ImageStream.GetImageStream(blob);
OcrSdkTask task = restClient.ProcessMrz(streamOut);
// Get Passport details
AbbyyCloudOCRResponse abbyyCloudOCRResponse = restClient.WaitAndGetAbbyyCloudOCRResponse(task);
// Using Trulioo API for Passport verification
Transaction transaction = await Verify.VerifyPassport(abbyyCloudOCRResponse, streamOut);
// Save the AbbyyCloudOCR response and transaction response into the database
DataLayer.KYCDbContext.Save(abbyyCloudOCRResponse, transaction);
}
catch (Exception ex)
{
log.Error(ex.Message, ex, "KYC blob function");
}
}
public async Task CarPhotoReceivedAsync(IDialogContext context, IAwaitable <IMessageActivity> argument)
{
var message = await argument;
if (message.Attachments != null && message.Attachments.Count > 0)
{
var attachment = message.Attachments[0];
if (attachment.ContentType == "image/png" || attachment.ContentType == "image/jpeg")
{
var contentStream = await ImageStream.GetImageStream(attachment.ContentUrl);
JObject json = await CustomVision.GetCustomVisionJson(contentStream);
// check is car
Boolean isCar = false;
foreach (var prediction in json["predictions"])
{
//var tag = prediction["tagName"];
//var percent = decimal.Parse(prediction["probability"].ToString()) * 100;
//var percentStr = percent.ToString("0.##");
//await context.PostAsync($"{tag} {percentStr}%");
var tag = prediction["tagName"].ToString();
var percent = decimal.Parse(prediction["probability"].ToString()) * 100;
if (tag == "car" && percent >= 50)
{
isCar = true;
break;
}
}
if (isCar)
{
foreach (var prediction in json["predictions"])
{
var tag = prediction["tagName"].ToString();
if (tag == "car")
{
continue;
}
else
{
SuggestCarConditionFromModel(tag);
this.user.likedCar = this.user.suggestCar3;
var outMessage = context.MakeMessage();
outMessage.Attachments = new List <Attachment>()
{
new HeroCard
{
Title = this.user.suggestCar3,
Text = $"จากรูปรถของ{this.user.genderThai} รถยนต์ที่เหมาะสมและใกล้เคียงกับความต้องการของ{this.user.genderThai} คือ {this.user.suggestCar3}",
Images = new List <CardImage> {
new CardImage(this.user.suggestImage3)
},
Buttons = new List <CardAction> {
new CardAction(ActionTypes.OpenUrl, "ข้อมูล", value: this.user.suggestUrl3)
}
}.ToAttachment()
};
await context.PostAsync(outMessage);
var quiz = $"{this.user.genderThai}ชอบรถยนต์คันนี้หรือไม่";
PromptDialog.Choice(context, this.OnLikeVisionCarSelected, yesNoOptions, quiz, "ออเจ้าเลือกไม่ถูกต้อง", 3);
break;
}
}
}
else
{
await context.PostAsync($"ข้าว่านี่ไม่ใช่รถนะเจ้าคะ โปรดส่งรูปรถให้ข้าเถิดเจ้าค่ะ");
context.Wait(CarPhotoReceivedAsync);
}
}
else
{
await context.PostAsync($"ข้าว่านี่ไม่ใช่รูปนะเจ้าคะ โปรดส่งรูปรถให้ข้าเถิดเจ้าค่ะ");
context.Wait(CarPhotoReceivedAsync);
}
}
else
{
await context.PostAsync($"ข้าไม่เห็นรูปอะไรเลยเจ้าค่ะ");
context.Wait(CarPhotoReceivedAsync);
}
}
private async Task MessageReceivedAsync(IDialogContext context, IAwaitable <IMessageActivity> argument)
{
var message = await argument;
if (message.Attachments != null && message.Attachments.Count > 0)
{
var attachment = message.Attachments[0];
if (attachment.ContentType == "image/png" || attachment.ContentType == "image/jpeg")
{
var contentStream = await ImageStream.GetImageStream(attachment.ContentUrl);
dynamic json = await FaceAPI.GetFaceAPIJson(contentStream);
if (json.Count > 0)
{
var face = json[0]["faceAttributes"];
this.user.gender = face["gender"].ToString();
this.user.age = decimal.Parse(face["age"].ToString());
this.user.smile = decimal.Parse(face["smile"].ToString());
this.user.glasses = face["glasses"].ToString();
this.user.anger = decimal.Parse(face["emotion"]["anger"].ToString());
this.user.eyeMakeup = Convert.ToBoolean(face["makeup"]["eyeMakeup"].ToString());
this.user.lipMakeup = Convert.ToBoolean(face["makeup"]["lipMakeup"].ToString());
this.user.hair = face["hair"].ToString();
this.user.bald = decimal.Parse(face["smile"].ToString());
var hairColor = face["hair"]["hairColor"];
if (hairColor.Count > 0)
{
this.user.hairColor = hairColor[0]["color"].ToString();
}
else
{
this.user.hairColor = "";
}
this.user.moustache = decimal.Parse(face["facialHair"]["moustache"].ToString());
this.user.beard = decimal.Parse(face["facialHair"]["beard"].ToString());
this.user.emotion = face["emotion"].ToString();
if (this.user.gender == "male")
{
this.user.genderThai = "ท่านหมื่น";
}
else
{
this.user.genderThai = "แม่หญิง";
}
if (this.user.eyeMakeup || this.user.lipMakeup)
{
this.user.makeupStr = "ชอบการแต่งตัว";
}
else
{
this.user.makeupStr = "เป็นคนง่ายๆ สบายๆ";
}
if (this.user.smile > 0.0M)
{
this.user.smileStr = "รักความสนุกสนาน";
}
else
{
if (this.user.eyeMakeup || this.user.lipMakeup)
{
this.user.smileStr = "ชอบความเรียบง่าย";
}
else
{
this.user.smileStr = "ชอบความโก้หรู";
}
}
if (this.user.anger > 0.7M)
{
this.user.angerStr = "ชอบความปราดเปรียว";
}
else
{
this.user.angerStr = "";
}
var quiz = $"ข้าเห็นหน้าออเจ้าแล้ว ออเจ้าเป็น{this.user.genderThai} ใช่หรือไม่";
PromptDialog.Choice(context, this.OnGenderSelected, yesNoOptions, quiz, "ออเจ้าเลือกไม่ถูกต้อง", 3);
}
else
{
--attempts;
await context.PostAsync($"ออเจ้าไม่ได้ส่งรูปใบหน้าของออเจ้ามา ส่งรูปหน้าออเจ้ามาให้ข้าด้วยเถิด");
context.Wait(MessageReceivedAsync);
}
}
else
{
--attempts;
await context.PostAsync($"ออเจ้าไม่ได้ส่งรูปใบหน้าของออเจ้ามา ส่งรูปหน้าออเจ้ามาให้ข้าด้วยเถิด");
context.Wait(MessageReceivedAsync);
}
}
else
{
--attempts;
await context.PostAsync($"ส่งรูปหน้าออเจ้ามาให้ข้าด้วยเถิด");
context.Wait(MessageReceivedAsync);
}
if (attempts <= 0)
{
context.Fail(new TooManyAttemptsException("รูปที่ออเจ้าส่งมาไม่ถูกต้อง"));
}
}