private void ProcessOffenseResult(OffensivenessLogicResponse result)
{
if (ServerUtilities.msgIdToUserID[result.Msg_id] is NewAnswerOffenseCheck)
{
if (result.Offensive)
{
ProcessChatbotLogic.ProcessOffensiveAnswer((NewAnswerOffenseCheck)ServerUtilities.msgIdToUserID[result.Msg_id]);
}
else
{
//ProcessChatbotLogic.SaveQuestionToDatabase((NewQuestionNonsenseCheck)ServerUtilities.msgIdToUserID[result.Msg_id]);
int answerId = ProcessChatbotLogic.SaveAnswerToOpenQuestion((NewAnswerOffenseCheck)ServerUtilities.msgIdToUserID[result.Msg_id]);
String openAnswerModelUser = ProcessChatbotLogic.RetrieveOpenAnswer(((NewAnswerOffenseCheck)ServerUtilities.msgIdToUserID[result.Msg_id]).question_id);
ChatbotWebSocketController.SendAnswerToQuestion(new ServerAnswerAfterQuestion(openAnswerModelUser, (NewAnswerOffenseCheck)ServerUtilities.msgIdToUserID[result.Msg_id], result, answerId, ProcessNLPResponse.getQuestionFromID(((NewAnswerOffenseCheck)ServerUtilities.msgIdToUserID[result.Msg_id]).question_id)));
}
}
else if (ServerUtilities.msgIdToUserID[result.Msg_id] is NewQuestionNonsenseCheck)
{
if (result.Offensive)
{
ProcessChatbotLogic.ProcessOffensiveAnswer((NewQuestionNonsenseCheck)ServerUtilities.msgIdToUserID[result.Msg_id]);
ChatbotWebSocketController.SendAnswerToQuestion(new ChatbotVariousServerResponses((NewQuestionNonsenseCheck)ServerUtilities.msgIdToUserID[result.Msg_id], false));
}
else
{
ChatbotWebSocketController.ProcessProperQuestion((NewQuestionNonsenseCheck)ServerUtilities.msgIdToUserID[result.Msg_id]);
}
}
}
private void Echo(OffensivenessLogicResponse result)
{
if (connections.ContainsKey("NLP") && connections["NLP"] != null && connections["NLP"].State == WebSocketState.Open)
{
connections["NLP"].SendAsync(new ArraySegment <byte>(usedEncoding.GetBytes("ECHO ECHO TO NLP"), 0, "ECHO ECHO TO NLP".Length), WebSocketMessageType.Text, true, CancellationToken.None);
}
}
/// <summary>
/// Process an NLP OffensivenessModelResponse and turn it into an OffensivenessLogicResponse.
/// </summary>
/// <param name="offensivenessModel">The NLP model to process.</param>
/// <returns>An OffensivenessLogicResponse describing the processed OffensivenessModelResponse. The response
/// is either descriptive of the processed response or "not complete" if the given response was invalid.</returns>
public static OffensivenessLogicResponse ProcessNLPOffensivenessResponse(OffensivenessModelResponse offensivenessModel)
{
// Create an "invalid model responses" response
OffensivenessLogicResponse nullResponse = new OffensivenessLogicResponse();
// Check to see whether there is at least a valid answer given
if (offensivenessModel == null ||
!offensivenessModel.IsComplete())
{
return(nullResponse);
}
// Decide whether the given question is offensive
bool offensive = false;
if (offensivenessModel.prob > OffensiveThreshold)
{
offensive = true;
}
// Check if the sentence contains a blacklisted word
DBManager manager = new DBManager(true);
String sentence = offensivenessModel.question;
StringBuilder sb = new StringBuilder();
sb.Append("SELECT forbidden_word ");
sb.Append("FROM dbo.Blacklist;");
String sql = sb.ToString();
String blacklistedWord = null;
using (SqlDataReader reader = manager.Read(sql))
{
if (reader != null)
{
while (reader.Read())
{
blacklistedWord = reader.GetString(0);
if (sentence.Contains(blacklistedWord))
{
offensive = true;
break;
}
}
}
else
{
Debug.WriteLine("Reader null");
}
}
manager.Close();
// Return the result
return(new OffensivenessLogicResponse(
offensivenessModel.question_id,
offensive,
offensivenessModel.question,
offensivenessModel.msg_id
));
}
