public static void SendQuestionNonsenseRequest(OffensivenessModelRequest offensivenessModel) { if (connections.ContainsKey("NLP") && connections["NLP"] != null && connections["NLP"].State == WebSocketState.Open && offensivenessModel != null) { String json = JsonSerializer.Serialize(offensivenessModel); connections["NLP"].SendAsync(new ArraySegment <byte>(usedEncoding.GetBytes(json), 0, json.Length), WebSocketMessageType.Text, true, CancellationToken.None); } else { taskQueue.Enqueue(new NLPTask <OffensivenessModelRequest>(offensivenessModel, SendQuestionNonsenseRequest)); } }
private void SendAnswerOffenseRequest(NewAnswerNonsenseCheck newAnswerNonsenseCheck) { var temp = new OffensivenessModelRequest(newAnswerNonsenseCheck); 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 <NewAnswerNonsenseCheck>(newAnswerNonsenseCheck, SendAnswerOffenseRequest)); } }
internal static void CheckIfQuestionIsNonsense(ChatbotNewQuestionModel chatbotNewQuestionModel) { var temp = new OffensivenessModelRequest(chatbotNewQuestionModel); 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 <ChatbotNewQuestionModel>(chatbotNewQuestionModel, CheckIfQuestionIsNonsense)); } }
internal static void SendTestToNLP() { if (connections.ContainsKey("NLP") && connections["NLP"] != null && connections["NLP"].State == WebSocketState.Open) { OffensivenessModelRequest omr = new OffensivenessModelRequest(); omr.msg_id = 65; omr.question = "It's f*****g snowing!"; omr.question_id = 25; omr.action = "ESTIMATE_OFFENSIVENESS".ToLower(); String json = JsonSerializer.Serialize(omr); connections["NLP"].SendAsync(new ArraySegment <byte>(usedEncoding.GetBytes(json), 0, json.Length), WebSocketMessageType.Text, true, CancellationToken.None); } }
public IHttpActionResult GetTestQuestion() { OffensivenessModelRequest[] actions = new OffensivenessModelRequest[1]; OffensivenessModelRequest nLPAction = new OffensivenessModelRequest(); nLPAction.action = DEFAULT_ACTION; nLPAction.question_id = -1; nLPAction.question = "ROSES ARE RED, VIOLETS ARE BLUE, GANDALF IS A WIZARD, NOW FLY YOU FOOL!"; nLPAction.msg_id = -1; if (nLPAction == null) { return(NotFound()); } actions[0] = nLPAction; return(Ok(actions)); }
/// <summary> /// Send a message to the NLP Controller to process the given answer and check if the contents are nonsone or not. /// /// </summary> /// <param name="result"></param> private void SendAnswerToNLPForNonsense(OffensivenessModelRequest result) { NLPWebSocketController.SendQuestionNonsenseRequest(result); }