238 lines
8.9 KiB
C#
238 lines
8.9 KiB
C#
using System;
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using System.Collections.Generic;
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using System.Collections.ObjectModel;
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using System.ComponentModel;
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using System.Diagnostics;
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using System.Linq;
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using System.Threading;
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using System.Threading.Tasks;
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using System.Windows;
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using System.Windows.Controls;
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using CommunityToolkit.Mvvm.ComponentModel;
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using CommunityToolkit.Mvvm.Input;
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using LangChain.Chains.LLM;
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using LangChain.Memory;
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using LangChain.Prompts;
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using LangChain.Providers;
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using LangChain.Providers.DeepSeek;
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using LangChain.Providers.DeepSeek.Predefined;
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using LangChain.Providers.OpenAI;
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using LangChain.Providers.OpenAI.Predefined;
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using LangChain.Schema;
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using Markdig;
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using Markdig.Wpf.ColorCode;
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using tryAGI.OpenAI;
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//using static LangChain.Chains.Chain;
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namespace WPFUI.Test
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{
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public partial class ChatDialogueViewModel : ObservableObject
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{
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static readonly DeepSeekConfiguration config = new DeepSeekConfiguration()
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{
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ApiKey = "sk-3a3126167f1343228b1a5745bcd0bf01",
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Endpoint = "https://api.deepseek.com",
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ChatSettings = new() { UseStreaming = true }
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};
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private ScrollViewer scrollViewer;
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/// <summary>
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/// 当前AI的回复
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/// </summary>
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[ObservableProperty]
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public partial Message? CurrentRespone { get; set; } = Message.Ai(string.Empty);
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/// <summary>
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/// 发送给AI的消息，包括上下文记录
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/// </summary>
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private Message? CurrentRequest { get; set; } = Message.Empty;
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public MarkdownPipeline Pipeline { get; set; } = new MarkdownPipelineBuilder().UseAdvancedExtensions().UseColorCodeWpf().Build();
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public ChatDialogueViewModel()
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{
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ChatHistory ??= new ObservableCollection<Message?>();
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}
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/// <summary>
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/// 用户输入
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/// </summary>
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[ObservableProperty]
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[NotifyCanExecuteChangedFor(nameof(SendCommand))]
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public partial string UserInput { get; set; }
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private bool CanSend()
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{
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return !string.IsNullOrEmpty(UserInput);
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}
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[RelayCommand]
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private async void PromptChat()
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{
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try
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{
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var deepseekLLM = new DeepSeekChatModel(new DeepSeekProvider(config));
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var prompt = new PromptTemplate(new PromptTemplateInput(
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template: "Revit二次开发中，使用变量doc和uidoc两个变量，构造一个保证可以执行的C#代码块，添加相应注释，不需要方法签名和using命名空间，但使用时需要完整的命名空间。实现{需求}的功能", inputVariables: ["需求"]));
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deepseekLLM.RequestSent += DeepseekLLM_RequestSent;
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var chain = new LlmChain(new LlmChainInput(deepseekLLM, prompt));
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var result = await chain.CallAsync(new ChainValues(new Dictionary<string, object>
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{
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{ "需求", UserInput}
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})).ConfigureAwait(true);
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// The result is an object with a `text` property.
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var respones = result.Value["text"].ToString();
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}
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catch (Exception ex)
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{
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}
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}
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/// <summary>
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/// 历史聊天记录
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/// </summary>
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public ObservableCollection<Message?> ChatHistory { get; set; }
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[RelayCommand(CanExecute = nameof(CanSend), IncludeCancelCommand = true)]
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private async Task SendAsync(object obj, CancellationToken cancellationToken)
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{
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try
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{
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if (obj is ScrollViewer scroll)
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{
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scrollViewer = scroll;
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}
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ChatHistory.Add(Message.Human(UserInput));
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//UserInput.Content=string.Empty;
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#region DeepSeek
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var deepseekLLM = new DeepSeekChatModel(new DeepSeekProvider(config));
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deepseekLLM.ResponseReceived += DeepseekLLM_ResponseReceived;
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deepseekLLM.DeltaReceived += DeepseekLLM_DeltaReceived;
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//deepseekLLM.RequestSent += DeepseekLLM_RequestSent;
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CurrentRequest += Message.Human(UserInput);
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UserInput = string.Empty;
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/*var result = */
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await deepseekLLM.GenerateAsync(CurrentRequest, cancellationToken: cancellationToken);
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#endregion
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// Since the LLMChain is a single-input, single-output chain, we can also call it with `run`.
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// This takes in a string and returns the `text` property.
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}
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catch (Exception ex)
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{
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MessageBox.Show(ex.Message);
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}
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}
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private async static Task RunChainAsync()
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{
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try
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{
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var client = new OpenAiClient("sk-3a3126167f1343228b1a5745bcd0bf01");
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OpenAiProvider provider = new OpenAiProvider(client);
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var llm = new OpenAiLatestFastChatModel(provider);
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var embeddingModel = new TextEmbeddingV3SmallModel(provider);
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var prompt = new PromptTemplate(new PromptTemplateInput(
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template: "Revit二次开发中，使用变量doc和uidoc两个变量，构造一个保证可以执行的C#代码块，添加相应注释，不需要方法签名和using命名空间，但使用时需要完整的命名空间。实现{需求}的功能", inputVariables: ["需求"]));
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var chain = new LlmChain(new LlmChainInput(llm, prompt));
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var result2 = await chain.RunAsync("彩色长筒靴");
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Console.WriteLine(result2);
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var chatPrompt = ChatPromptTemplate.FromPromptMessages([
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SystemMessagePromptTemplate.FromTemplate(
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"You are a helpful assistant that translates {input_language} to {output_language}."),
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HumanMessagePromptTemplate.FromTemplate("{text}")
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]);
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var chainB = new LlmChain(new LlmChainInput(llm, chatPrompt)
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{
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Verbose = true
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});
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var resultB = await chainB.CallAsync(new ChainValues(new Dictionary<string, object>(3)
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{
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{"input_language", "English"},
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{"output_language", "French"},
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{"text", "I love programming"},
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}));
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Console.WriteLine(resultB.Value["text"]);
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}
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catch (Exception ex)
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{
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}
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}
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private void DeepseekLLM_RequestSent(object sender, ChatRequest e)
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{
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Debug.WriteLine("-------------RequestSent-------------");
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foreach (var mes in e.Messages)
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{
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Debug.WriteLine($"{mes}");
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}
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//Debug.WriteLine("-------------RequestSent-------------");
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//Debug.WriteLine($"发送者{sender}");
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//scrollViewer.Dispatcher.Invoke(() =>
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//{
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// ChatHistory.Add(CurrentRespone);
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//});
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}
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//接收完毕
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private void DeepseekLLM_ResponseReceived(object sender, ChatResponse e)
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{
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//Debug.WriteLine("-------------ResponseReceived-------------");
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Application.Current.Dispatcher.Invoke(() =>
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{
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//Debug.WriteLine($"发送者:{sender};使用量:{e.Usage}");
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CurrentRequest += e.LastMessage;
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CurrentRespone = Message.Ai(string.Empty);
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//最后一条完整的消息
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//Debug.WriteLine($"{ChatHistory}");
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//ChatHistory.Add(e.LastMessage);
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//Respones.Content += e.Content;
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});
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}
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//partial void OnCurrentResponeChanged(Message? value)
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//{
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//}
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//接收Delta
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private void DeepseekLLM_DeltaReceived(object sender, ChatResponseDelta e)
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{
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if (string.IsNullOrEmpty(e.Content))
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{
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return;
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}
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scrollViewer.Dispatcher.Invoke(() =>
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{
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ChatHistory.Remove(CurrentRespone);
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//Debug.WriteLine("-------------DeltaReceived-------------");
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Debug.WriteLine($"{e.Content}");
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CurrentRespone += Message.Ai(e.Content);
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ChatHistory.Add(CurrentRespone);
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Task.Delay(1);
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//ChatHistory.
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//判断滚动条是否在底部
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if (scrollViewer.VerticalOffset == scrollViewer.ExtentHeight - scrollViewer.ViewportHeight)
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{
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scrollViewer?.ScrollToEnd();
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}
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//Respones.Content += e.Content;
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});
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}
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[RelayCommand]
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private void NewSession()
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{
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ChatHistory?.Clear();
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CurrentRequest = Message.Empty;
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}
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}
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} |