public async Task <AiResponse> TextRequest(AiRequest request)
{
var aiResponse = new AiResponse();
// Load agent
var projectPath = Path.Combine(AppDomain.CurrentDomain.GetData("DataPath").ToString(), "Projects", request.AgentId);
var model = Directory.GetDirectories(projectPath).Where(x => x.Contains("model_")).Last().Split(Path.DirectorySeparatorChar).Last();
var modelPath = Path.Combine(projectPath, model);
request.AgentDir = projectPath;
request.Model = model;
var agent = await GetAgentById(request.AgentId);
var preditor = new BotPredictor();
var doc = await preditor.Predict(agent, request);
var parameters = new Dictionary <String, Object>();
if (doc.Sentences[0].Entities == null)
{
doc.Sentences[0].Entities = new List <NlpEntity>();
}
doc.Sentences[0].Entities.ForEach(x => parameters[x.Entity] = x.Value);
aiResponse.Intent = doc.Sentences[0].Intent.Label;
aiResponse.Speech = aiResponse.Intent;
return(aiResponse);
}
public virtual async Task <TResult> TextRequest <TResult>(AiRequest request)
{
// merge last contexts
string contextHash = await GetContextsHash(request);
Console.WriteLine($"TextRequest: {request.Text}, {request.Contexts}, {request.SessionId}");
// Load agent
var projectPath = Path.Combine(AppDomain.CurrentDomain.GetData("DataPath").ToString(), "Projects", request.AgentId);
var model = Directory.GetDirectories(projectPath).Where(x => x.Contains("model_")).Last().Split(Path.DirectorySeparatorChar).Last();
var modelPath = Path.Combine(projectPath, model);
request.AgentDir = projectPath;
request.Model = model + $"{Path.DirectorySeparatorChar}{contextHash}";
Agent = await GetAgentById(request.AgentId);
var preditor = new BotPredictor();
var doc = await preditor.Predict(Agent, request);
var predictedIntent = doc.Sentences[0].Intent;
if (predictedIntent.Confidence < Agent.MlConfig.MinConfidence)
{
predictedIntent = await FallbackResponse(request);
predictedIntent.Confidence = Agent.MlConfig.MinConfidence;
predictedIntent.Label = "fallback";
Agent.Intents.Add(new Intent
{
Name = predictedIntent.Label,
Responses = new List <IntentResponse>
{
new IntentResponse
{
IntentName = predictedIntent.Label,
Messages = new List <IntentResponseMessage>
{
new IntentResponseMessage
{
Speech = "\"" + predictedIntent.Text + "\"",
Type = AIResponseMessageType.Text
}
}
}
}
});
}
var aiResponse = new AiResponse
{
ResolvedQuery = request.Text,
Score = predictedIntent.Confidence,
Source = predictedIntent.Classifier,
Intent = predictedIntent.Label,
Entities = doc.Sentences[0].Entities
};
Console.WriteLine($"TextResponse: {aiResponse.Intent}, {request.SessionId}");
return(await AssembleResult <TResult>(request, aiResponse));
}
