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);
}