//NLP Nonsense -> NLP Offense model
 public OffensivenessModelRequest(NewQuestionNonsenseCheck newQuestionNonsenseCheck)
 {
     this.question    = newQuestionNonsenseCheck.question;
     this.question_id = newQuestionNonsenseCheck.question_id;
     this.msg_id      = ServerUtilities.getAndGenerateMsgIDForGivenQuestion(newQuestionNonsenseCheck.user_id, newQuestionNonsenseCheck.question, newQuestionNonsenseCheck.question_id);
     this.action      = "ESTIMATE_OFFENSIVENESS".ToLower();
 }
        private void SendQuestionOffenseRequest(NewQuestionNonsenseCheck newQuestionNonsenseCheck)
        {
            var temp = new OffensivenessModelRequest(newQuestionNonsenseCheck);

            if (connections.ContainsKey("NLP") && connections["NLP"] != null && connections["NLP"].State == WebSocketState.Open && temp != null)
            {
                String json = JsonSerializer.Serialize(temp);

                connections["NLP"].SendAsync(new ArraySegment <byte>(usedEncoding.GetBytes(json), 0, json.Length), WebSocketMessageType.Text, true, CancellationToken.None);
            }
            else
            {
                taskQueue.Enqueue(new NLPTask <NewQuestionNonsenseCheck>(newQuestionNonsenseCheck, SendQuestionOffenseRequest));
            }
        }
Пример #3
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 public ChatbotVariousServerResponses(NewQuestionNonsenseCheck newQuestionNonsenseCheck, bool isNonsense = true)
 {
     if (isNonsense)
     {
         question_id = newQuestionNonsenseCheck.question_id;
         status_msg  = "The given question was nonsense.";
         status_code = 2;
         user_id     = newQuestionNonsenseCheck.user_id;
     }
     else
     {
         question_id = newQuestionNonsenseCheck.question_id;
         status_msg  = "The given question was offensive.";
         status_code = 3;
         user_id     = newQuestionNonsenseCheck.user_id;
     }
 }
 internal static void ProcessProperQuestion(NewQuestionNonsenseCheck newQuestionNonsenseCheck)
 {
     try
     {
         var result = ProcessChatbotLogic.ProcessChatbotReceiveQuestion(new List <ChatbotNewQuestionModel>()
         {
             new ChatbotNewQuestionModel(newQuestionNonsenseCheck)
         });
         if (result != null)
         {
             NLPWebSocketController.SendQuestionMatchRequest(result);
         }
     }
     catch (Exception e)
     {
         System.Diagnostics.Trace.Write(e.Message);
     }
 }
Пример #5
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 public ChatbotNewQuestionModel(NewQuestionNonsenseCheck newQuestionNonsenseCheck)
 {
     user_id         = newQuestionNonsenseCheck.user_id;
     question        = newQuestionNonsenseCheck.question;
     chatbot_temp_id = newQuestionNonsenseCheck.question_id;
 }
Пример #6
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 /// <summary>
 /// Given is an answer that is guaranteed to be offensive, you are given the question and user id, process these.
 /// </summary>
 /// <param name="newQuestionNonsenseCheck"></param>
 public static void ProcessOffensiveAnswer(NewQuestionNonsenseCheck newQuestionNonsenseCheck)
 {
     //throw new NotImplementedException();
     return;
 }