using System.ClientModel;
using System.Diagnostics.CodeAnalysis;
using System.Net;
using System.Reflection;
using System.Text;
using System.Text.Json;
using Dm.util;
using Microsoft.Agents.AI;
using Microsoft.AspNetCore.Http;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Logging;
using ModelContextProtocol.Server;
using OpenAI;
using OpenAI.Chat;
using OpenAI.Responses;
using Volo.Abp.Domain.Repositories;
using Volo.Abp.Domain.Services;
using Yi.Framework.AiHub.Application.Contracts.Dtos.Chat;
using Yi.Framework.AiHub.Domain.AiGateWay;
using Yi.Framework.AiHub.Domain.Entities.Chat;
using Yi.Framework.AiHub.Domain.Entities.OpenApi;
using Yi.Framework.AiHub.Domain.Shared.Dtos.OpenAi;
using Yi.Framework.SqlSugarCore.Abstractions;

namespace Yi.Framework.AiHub.Domain.Managers;

public class ChatManager : DomainService
{
    private readonly AiGateWayManager _aiGateWayManager;
    private readonly ILoggerFactory _loggerFactory;
    private readonly ISqlSugarRepository<MessageAggregateRoot> _messageRepository;
    private readonly ISqlSugarRepository<AgentStoreAggregateRoot> _agentStoreRepository;
    private readonly ISqlSugarRepository<TokenAggregateRoot> _tokenRepository;

    public ChatManager(AiGateWayManager aiGateWayManager, ILoggerFactory loggerFactory,
        ISqlSugarRepository<MessageAggregateRoot> messageRepository,
        ISqlSugarRepository<AgentStoreAggregateRoot> agentStoreRepository,
        ISqlSugarRepository<TokenAggregateRoot> tokenRepository)
    {
        _aiGateWayManager = aiGateWayManager;
        _loggerFactory = loggerFactory;
        _messageRepository = messageRepository;
        _agentStoreRepository = agentStoreRepository;
        _tokenRepository = tokenRepository;
    }


    public async Task AgentCompleteChatStreamAsync(HttpContext httpContext,
        Guid sessionId,
        string content,
        Guid tokenId,
        string modelId,
        Guid userId,
        List<string> tools
        , CancellationToken cancellationToken)
    {
        
        // HttpClient.DefaultProxy = new WebProxy("127.0.0.1:8888");
        var response = httpContext.Response;
        // 设置响应头，声明是 SSE 流
        response.ContentType = "text/event-stream;charset=utf-8;";
        response.Headers.TryAdd("Cache-Control", "no-cache");
        response.Headers.TryAdd("Connection", "keep-alive");

        //token状态检查，在应用层统一处理
        var token = await _tokenRepository.GetFirstAsync(x => x.Id == tokenId);
        var client = new OpenAIClient(new ApiKeyCredential(token.Token),
            new OpenAIClientOptions
            {
                Endpoint = new Uri("https://yxai.chat/v1"),
            });

        var agent = client.GetChatClient(modelId)
            .CreateAIAgent("你是一个专业的网页ai助手，擅长解答用户问题");

        //线程根据sessionId数据库中获取
        var agentStore =
            await _agentStoreRepository.GetFirstAsync(x => x.SessionId == sessionId);
        if (agentStore is null)
        {
            agentStore = new AgentStoreAggregateRoot(sessionId);
        }

        //获取当前线程
        AgentThread currentThread;
        if (!string.IsNullOrWhiteSpace(agentStore.Store))
        {
            //获取当前存储
            JsonElement reloaded = JsonSerializer.Deserialize<JsonElement>(agentStore.Store, JsonSerializerOptions.Web);
            currentThread = agent.DeserializeThread(reloaded, JsonSerializerOptions.Web);
        }
        else
        {
            currentThread = agent.GetNewThread();
        }


        var toolContents = GetTools();
        var chatOptions = new ChatOptions()
        {
            Tools = toolContents.Select(x => (AITool)x).ToList(),
            ToolMode = ChatToolMode.Auto
        };

        await foreach (var update in agent.RunStreamingAsync(content, currentThread, new ChatClientAgentRunOptions(chatOptions), cancellationToken))
        {
            // 检查每个更新中的内容  
            foreach (var updateContent in update.Contents)
            {
                switch (updateContent)
                {
                    //工具调用中
                    case FunctionCallContent functionCall:
                        await SendHttpStreamMessageAsync(httpContext,
                            new AgentResultOutput
                            {
                                TypeEnum = AgentResultTypeEnum.ToolCalling,
                                Content = functionCall.Name
                            },
                            isDone: false, cancellationToken);
                        break;
                    
                    //工具调用完成
                    case FunctionResultContent functionResult:
                        await SendHttpStreamMessageAsync(httpContext,
                            new AgentResultOutput
                            {
                                TypeEnum = AgentResultTypeEnum.ToolCalled,
                                Content = functionResult.Result
                            },
                            isDone: false, cancellationToken);
                        break;
                    
                    //内容输出
                    case TextContent textContent:
                        //发送消息给前端
                        await SendHttpStreamMessageAsync(httpContext,
                            new AgentResultOutput
                            {
                                TypeEnum = AgentResultTypeEnum.Text,
                                Content = textContent.Text
                            },
                            isDone: false, cancellationToken);
                        break;
                    
                    //用量统计
                    case UsageContent usageContent:
                        //存储message 为了token算费
                        await SendHttpStreamMessageAsync(httpContext,
                            new AgentResultOutput
                            {
                                TypeEnum = AgentResultTypeEnum.Usage,
                                Content = new ThorUsageResponse
                                {
                                    InputTokens = Convert.ToInt32(usageContent.Details.InputTokenCount ?? 0),
                                    OutputTokens = Convert.ToInt32(usageContent.Details.OutputTokenCount ?? 0),
                                    TotalTokens = usageContent.Details.TotalTokenCount ?? 0,
                                }
                            },
                            isDone: false, cancellationToken);
                        Console.WriteLine();
                        Console.WriteLine($"✅ 用量统计: {usageContent.Details.TotalTokenCount}");
                        break;
                }
            }
        }

        //断开连接
        await SendHttpStreamMessageAsync(httpContext, null, isDone: true, cancellationToken);

        //将线程持久化到数据库
        string serializedJson = currentThread.Serialize(JsonSerializerOptions.Web).GetRawText();
        agentStore.Store = serializedJson;

        //插入或者更新
        await _agentStoreRepository.InsertOrUpdateAsync(agentStore);
    }


    private List<AIFunction> GetTools()
    {
        var toolClasses = typeof(YiFrameworkAiHubDomainModule).Assembly.GetTypes()
            .Where(x => x.GetCustomAttribute<McpServerToolTypeAttribute>() is not null)
            .ToList();

        List<AIFunction> mcpTools = new List<AIFunction>();
        foreach (var toolClass in toolClasses)
        {
            var instance = LazyServiceProvider.GetRequiredService(toolClass);
            var toolMethods = toolClass.GetMethods()
                .Where(y => y.GetCustomAttribute<McpServerToolAttribute>() is not null).ToList();
            foreach (var toolMethod in toolMethods)
            {
                mcpTools.add(AIFunctionFactory.Create(toolMethod, instance));
            }
        }

        return mcpTools;
    }

    /// <summary>
    /// 发送消息
    /// </summary>
    /// <param name="httpContext"></param>
    /// <param name="content"></param>
    /// <param name="isDone"></param>
    /// <param name="cancellationToken"></param>
    /// <returns></returns>
    private async Task SendHttpStreamMessageAsync(HttpContext httpContext,
        AgentResultOutput? content,
        bool isDone = false,
        CancellationToken cancellationToken = default)
    {
        var response = httpContext.Response;
        string output;
        if (isDone)
        {
            output = "[DONE]";
        }
        else
        {
            output = JsonSerializer.Serialize(content,ThorJsonSerializer.DefaultOptions);
        }

        await response.WriteAsync($"data: {output}\n\n", Encoding.UTF8, cancellationToken).ConfigureAwait(false);
        await response.Body.FlushAsync(cancellationToken).ConfigureAwait(false);
    }
}