110 lines
3.5 KiB
C#
110 lines
3.5 KiB
C#
using BotSharp.Core.Engines;
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using BotSharp.Core.Engines.Rasa;
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using BotSharp.Core.Models;
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using BotSharp.NLP;
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using Microsoft.AspNetCore.Mvc;
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using Newtonsoft.Json;
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using System;
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using System.Collections.Generic;
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using System.Drawing;
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using System.IO;
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using System.Linq;
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using System.Text;
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using Console = Colorful.Console;
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namespace BotSharp.RestApi.Rasa
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{
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#if RASA
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/// <summary>
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/// send a text request
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/// </summary>
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[Route("[controller]")]
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public class ParseController : ControllerBase
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{
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private readonly IBotPlatform _platform;
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/// <summary>
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/// Initialize dialog controller and get a platform instance
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/// </summary>
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/// <param name="platform"></param>
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public ParseController(IBotPlatform platform)
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{
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_platform = platform;
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}
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/// <summary>
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/// parse request
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/// </summary>
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/// <param name="request"></param>
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/// <returns></returns>
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[HttpPost, HttpGet]
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public ActionResult<RasaResponse> Parse(RasaRequestModel request)
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{
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var config = new AIConfiguration("", SupportedLanguage.English);
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config.SessionId = "rasa nlu";
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string body = "";
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using (var reader = new StreamReader(Request.Body))
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{
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body = reader.ReadToEnd();
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}
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Console.WriteLine($"Got message from {Request.Host}: {body}", Color.Green);
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if(request.Project ==null && !String.IsNullOrEmpty(body))
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{
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request = JsonConvert.DeserializeObject<RasaRequestModel>(body);
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}
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// Load agent
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var projectPath = Path.Combine(AppDomain.CurrentDomain.GetData("DataPath").ToString(), "Projects", request.Project);
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if (String.IsNullOrEmpty(request.Model))
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{
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request.Model = Directory.GetDirectories(projectPath).Where(x => x.Contains("model_")).Last().Split(Path.DirectorySeparatorChar).Last();
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}
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var modelPath = Path.Combine(projectPath, request.Model);
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var agent = _platform.LoadAgentFromFile(modelPath);
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var aIResponse = _platform.TextRequest(new AIRequest
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{
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AgentDir = projectPath,
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Model = request.Model,
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Query = new String[] { request.Text }
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});
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var rasaResponse = new RasaResponse
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{
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Intent = new RasaResponseIntent
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{
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Name = aIResponse.Result.Metadata.IntentName,
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Confidence = aIResponse.Result.Score
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},
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Entities = aIResponse.Result.Entities.Select(x => new RasaResponseEntity
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{
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Extractor = x.Extrator,
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Start = x.Start,
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Entity = x.Entity,
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Value = x.Value
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}).ToList(),
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Text = request.Text,
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Model = request.Model,
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Project = agent.Name,
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IntentRanking = new List<RasaResponseIntent>
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{
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new RasaResponseIntent
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{
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Name = aIResponse.Result.Metadata.IntentName,
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Confidence = aIResponse.Result.Score
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}
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},
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Fullfillment = aIResponse.Result.Fulfillment
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};
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return rasaResponse;
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}
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}
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#endif
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}
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