BotSharp/BotSharp.Core/PlatformBuilderBase.cs

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using BotSharp.Core.Engines;
using BotSharp.Models.NLP;
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using BotSharp.Platform.Abstraction;
using BotSharp.Platform.Models;
using BotSharp.Platform.Models.AiRequest;
using BotSharp.Platform.Models.AiResponse;
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using BotSharp.Platform.Models.MachineLearning;
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using DotNetToolkit;
using Microsoft.Extensions.Configuration;
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using Newtonsoft.Json;
using System;
using System.Collections.Generic;
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using System.IO;
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using System.Linq;
using System.Text;
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using System.Threading.Tasks;
namespace BotSharp.Core
{
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public abstract class PlatformBuilderBase<TAgent> where TAgent : AgentBase
{
public TAgent Agent { get; set; }
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public IAgentStorage<TAgent> Storage { get; set; }
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private readonly IAgentStorageFactory<TAgent> agentStorageFactory;
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private readonly IPlatformSettings settings;
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public PlatformBuilderBase(IAgentStorageFactory<TAgent> agentStorageFactory, IPlatformSettings settings)
{
this.agentStorageFactory = agentStorageFactory;
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this.settings = settings;
}
public async Task<List<TAgent>> GetAllAgents()
{
await GetStorage();
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return await Storage.Query();
}
public async Task<TAgent> LoadAgentFromFile<TImporter>(string dataDir) where TImporter : IAgentImporter<TAgent>, new()
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{
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Console.WriteLine($"Loading agent from folder {dataDir}");
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var meta = LoadMeta(dataDir);
var importer = new TImporter
{
AgentDir = dataDir
};
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// Load agent summary
var agent = await importer.LoadAgent(meta);
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// Load user custom entities
await importer.LoadCustomEntities(agent);
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// Load agent intents
await importer.LoadIntents(agent);
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// Load system buildin entities
await importer.LoadBuildinEntities(agent);
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Console.WriteLine($"Loaded agent: {agent.Name} {agent.Id}");
Agent = agent;
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return agent;
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}
private AgentImportHeader LoadMeta(string dataDir)
{
// load meta
string metaJson = File.ReadAllText(Path.Combine(dataDir, "meta.json"));
return JsonConvert.DeserializeObject<AgentImportHeader>(metaJson);
}
public async Task<TAgent> GetAgentById(string agentId)
{
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GetStorage();
return await Storage.FetchById(agentId);
}
public async Task<TAgent> GetAgentByName(string agentName)
{
await GetStorage();
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return await Storage.FetchByName(agentName);
}
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public virtual async Task<ModelMetaData> Train(TAgent agent, TrainingCorpus corpus, BotTrainOptions options)
{
if (String.IsNullOrEmpty(options.AgentDir))
{
options.AgentDir = Path.Combine(AppDomain.CurrentDomain.GetData("DataPath").ToString(), "Projects", agent.Id);
}
if (String.IsNullOrEmpty(options.Model))
{
options.Model = "model_" + DateTime.UtcNow.ToString("yyyyMMdd");
}
ModelMetaData meta = null;
// train by contexts
corpus.UserSays.GroupBy(x => x.ContextHash).Select(g => new
{
Context = g.Key,
Corpus = new TrainingCorpus
{
Entities = corpus.Entities,
UserSays = corpus.UserSays.Where(x => x.ContextHash == g.Key).ToList()
}
})
.ToList()
.ForEach(async c =>
{
var trainer = new BotTrainer(settings);
agent.Corpus = c.Corpus;
meta = await trainer.Train(agent, new BotTrainOptions
{
AgentDir = options.AgentDir,
Model = options.Model + $"{Path.DirectorySeparatorChar}{c.Context}"
});
});
meta.Pipeline.Clear();
meta.Model = options.Model;
return meta;
}
public virtual async Task<TResult> TextRequest<TResult>(AiRequest request)
{
string contexts = String.Join("_", request.Contexts);
string contextHash = contexts.GetMd5Hash();
Console.WriteLine($"TextRequest: {request.Text}, {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 + $"{Path.DirectorySeparatorChar}{contextHash}";
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Agent = await GetAgentById(request.AgentId);
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var preditor = new BotPredictor();
var doc = await preditor.Predict(Agent, request);
var parameters = new Dictionary<String, Object>();
if (doc.Sentences[0].Entities == null)
{
doc.Sentences[0].Entities = new List<NlpEntity>();
}
doc.Sentences[0].Entities.ForEach(x => parameters[x.Entity] = x.Value);
var predictedIntent = doc.Sentences[0].Intent;
var aiResponse = new AiResponse
{
ResolvedQuery = request.Text,
Score = predictedIntent.Confidence,
Source = predictedIntent.Classifier,
Intent = predictedIntent.Label
};
Console.WriteLine($"TextResponse: {aiResponse.Intent}, {request.SessionId}");
return await AssembleResult<TResult>(aiResponse);
}
public virtual async Task<TResult> AssembleResult<TResult>(AiResponse response)
{
throw new NotImplementedException();
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}
public virtual async Task<bool> SaveAgent(TAgent agent)
{
await GetStorage();
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// default save agent in FileStorage
await Storage.Persist(agent);
return true;
}
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protected async Task<IAgentStorage<TAgent>> GetStorage()
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{
if (Storage == null)
{
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Storage = await agentStorageFactory.Get();
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}
return Storage;
}
}
}