92 lines
2.9 KiB
C#
92 lines
2.9 KiB
C#
using BotSharp.Core.Abstractions;
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using BotSharp.Core.Agents;
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using BotSharp.Core.Models;
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using BotSharp.MachineLearning.NLP;
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using EntityFrameworkCore.BootKit;
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using Microsoft.Extensions.Configuration;
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using Newtonsoft.Json;
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using Newtonsoft.Json.Linq;
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using RestSharp;
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using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Text;
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using System.Threading.Tasks;
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namespace BotSharp.Core.Engines.SpaCy
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{
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public class SpaCyTokenizer : INlpTrain, INlpPredict
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{
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public IConfiguration Configuration { get; set; }
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public PipeSettings Settings { get; set; }
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public async Task<bool> Train(Agent agent, NlpDoc doc, PipeModel meta)
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{
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var client = new RestClient(Configuration.GetSection("SpaCyProvider:Url").Value);
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var request = new RestRequest("spacytokenizesentences", Method.POST);
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List<List<NlpToken>> tokens = new List<List<NlpToken>>();
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Boolean res = true;
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var dc = new DefaultDataContextLoader().GetDefaultDc();
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var corpus = agent.Corpus;
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doc.Sentences = new List<NlpDocSentence>();
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List<string> sentencesList = new List<string>();
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corpus.UserSays.ForEach(usersay => sentencesList.Add(usersay.Text));
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request.RequestFormat = DataFormat.Json;
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request.AddParameter("application/json", JsonConvert.SerializeObject(new Documents(sentencesList)), ParameterType.RequestBody);
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var response = client.Execute<Result>(request);
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tokens = response.Data.TokensList;
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for (int i = 0; i < sentencesList.Count; i++)
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{
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doc.Sentences.Add(new NlpDocSentence
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{
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Tokens = tokens[i],
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Text = sentencesList[i]
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});
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}
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res = res && response.IsSuccessful;
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return res;
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}
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public async Task<bool> Predict(Agent agent, NlpDoc doc, PipeModel meta)
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{
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var client = new RestClient(Configuration.GetSection("SpaCyProvider:Url").Value);
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var request = new RestRequest("tokenizer", Method.GET);
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List<List<NlpToken>> tokens = new List<List<NlpToken>>();
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Boolean res = true;
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var corpus = agent.Corpus;
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request.AddParameter("text", doc.Sentences[0].Text);
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var response = client.Execute<Result>(request);
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tokens = response.Data.TokensList;
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res = res && response.IsSuccessful;
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doc.Sentences[0].Tokens = tokens[0];
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return true;
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}
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private class Result
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{
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public List<List<NlpToken>> TokensList { get; set; }
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}
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private class Documents
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{
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public List<string> Sentences { get; set; }
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public Documents(List<string> sentences)
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{
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this.Sentences = sentences;
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}
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}
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}
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}
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