51 lines
1.6 KiB
C#
51 lines
1.6 KiB
C#
using System;
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using System.Collections.Generic;
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using System.Text;
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using System.Threading.Tasks;
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using BotSharp.Core.Abstractions;
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using BotSharp.Core.Agents;
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using EntityFrameworkCore.BootKit;
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using Microsoft.Extensions.Configuration;
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using Newtonsoft.Json.Linq;
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using RestSharp;
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namespace BotSharp.Core.Engines.SpaCy
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{
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public class SpacyFeaturizer : INlpPipeline
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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("featurize", Method.GET);
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List<List<decimal>> vectors = new List<List<decimal>>();
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Boolean res = true;
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var dc = new DefaultDataContextLoader().GetDefaultDc();
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/*var corpus = agent.GrabCorpus(dc);
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corpus.UserSays.ForEach(usersay => {
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request.AddParameter("text", usersay.Text);
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var response = client.Execute<Result>(request);
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vectors.Add(response.Data.Vectors);
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res = res && response.IsSuccessful;
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});*/
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// data.Add("Features", JToken.FromObject(vectors));
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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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return true;
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}
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public class Result
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{
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public List<decimal> Vectors { get; set; }
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}
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}
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}
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