using System.Collections.Concurrent;
using System.Diagnostics;
using System.Runtime.CompilerServices;
using System.Text;
using System.Text.Json;
using Microsoft.AspNetCore.Http;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Logging;
using Newtonsoft.Json;
using Newtonsoft.Json.Serialization;
using Volo.Abp.Domain.Services;
using Yi.Framework.AiHub.Domain.AiGateWay;
using Yi.Framework.AiHub.Domain.AiGateWay.Exceptions;
using Yi.Framework.AiHub.Domain.Entities.Model;
using Yi.Framework.AiHub.Domain.Shared.Dtos;
using Yi.Framework.AiHub.Domain.Shared.Dtos.OpenAi;
using Yi.Framework.AiHub.Domain.Shared.Dtos.OpenAi.Embeddings;
using Yi.Framework.AiHub.Domain.Shared.Dtos.OpenAi.Images;
using Yi.Framework.Core.Extensions;
using Yi.Framework.SqlSugarCore.Abstractions;

namespace Yi.Framework.AiHub.Domain.Managers;

public class AiGateWayManager : DomainService
{
    private readonly ISqlSugarRepository<AiAppAggregateRoot> _aiAppRepository;
    private readonly ILogger<AiGateWayManager> _logger;
    private readonly AiMessageManager _aiMessageManager;
    private readonly UsageStatisticsManager _usageStatisticsManager;
    private readonly ISpecialCompatible _specialCompatible;

    public AiGateWayManager(ISqlSugarRepository<AiAppAggregateRoot> aiAppRepository, ILogger<AiGateWayManager> logger,
        AiMessageManager aiMessageManager, UsageStatisticsManager usageStatisticsManager,
        ISpecialCompatible specialCompatible)
    {
        _aiAppRepository = aiAppRepository;
        _logger = logger;
        _aiMessageManager = aiMessageManager;
        _usageStatisticsManager = usageStatisticsManager;
        _specialCompatible = specialCompatible;
    }

    /// <summary>
    /// 获取模型
    /// </summary>
    /// <param name="modelId"></param>
    /// <returns></returns>
    private async Task<AiModelDescribe> GetModelAsync(string modelId)
    {
        var allApp = await _aiAppRepository._DbQueryable.Includes(x => x.AiModels).ToListAsync();
        foreach (var app in allApp)
        {
            var model = app.AiModels.FirstOrDefault(x => x.ModelId == modelId);
            if (model is not null)
            {
                return new AiModelDescribe
                {
                    AppId = app.Id,
                    AppName = app.Name,
                    Endpoint = app.Endpoint,
                    ApiKey = app.ApiKey,
                    OrderNum = model.OrderNum,
                    HandlerName = model.HandlerName,
                    ModelId = model.ModelId,
                    ModelName = model.Name,
                    Description = model.Description,
                    AppExtraUrl = app.ExtraUrl,
                    ModelExtraInfo = model.ExtraInfo
                };
            }
        }

        throw new UserFriendlyException($"{modelId}模型当前版本不支持");
    }


    /// <summary>
    /// 聊天完成-流式
    /// </summary>
    /// <param name="request"></param>
    /// <param name="cancellationToken"></param>
    /// <returns></returns>
    public async IAsyncEnumerable<ThorChatCompletionsResponse> CompleteChatStreamAsync(
        ThorChatCompletionsRequest request,
        [EnumeratorCancellation] CancellationToken cancellationToken)
    {
        _specialCompatible.Compatible(request);
        var modelDescribe = await GetModelAsync(request.Model);
        var chatService =
            LazyServiceProvider.GetRequiredKeyedService<IChatCompletionService>(modelDescribe.HandlerName);

        await foreach (var result in chatService.CompleteChatStreamAsync(modelDescribe, request, cancellationToken))
        {
            yield return result;
        }
    }


    /// <summary>
    /// 聊天完成-非流式
    /// </summary>
    /// <param name="httpContext"></param>
    /// <param name="request"></param>
    /// <param name="userId"></param>
    /// <param name="sessionId"></param>
    /// <param name="cancellationToken"></param>
    /// <returns></returns>
    public async Task CompleteChatForStatisticsAsync(HttpContext httpContext,
        ThorChatCompletionsRequest request,
        Guid? userId = null,
        Guid? sessionId = null,
        CancellationToken cancellationToken = default)
    {
        _specialCompatible.Compatible(request);
        var response = httpContext.Response;
        // 设置响应头，声明是 json
        //response.ContentType = "application/json; charset=UTF-8";
        var modelDescribe = await GetModelAsync(request.Model);
        var chatService =
            LazyServiceProvider.GetRequiredKeyedService<IChatCompletionService>(modelDescribe.HandlerName);
        var data = await chatService.CompleteChatAsync(modelDescribe, request, cancellationToken);
        if (userId is not null)
        {
            await _aiMessageManager.CreateUserMessageAsync(userId.Value, sessionId,
                new MessageInputDto
                {
                    Content = request.Messages?.LastOrDefault().Content ?? string.Empty,
                    ModelId = request.Model,
                    TokenUsage = data.Usage,
                });

            await _aiMessageManager.CreateSystemMessageAsync(userId.Value, sessionId,
                new MessageInputDto
                {
                    Content = data.Choices.FirstOrDefault()?.Delta.Content,
                    ModelId = request.Model,
                    TokenUsage = data.Usage
                });

            await _usageStatisticsManager.SetUsageAsync(userId.Value, request.Model, data.Usage);
        }

        await response.WriteAsJsonAsync(data, cancellationToken);
    }

    /// <summary>
    /// 聊天完成-缓存处理
    /// </summary>
    /// <param name="httpContext"></param>
    /// <param name="request"></param>
    /// <param name="userId"></param>
    /// <param name="sessionId"></param>
    /// <param name="cancellationToken"></param>
    /// <returns></returns>
    public async Task CompleteChatStreamForStatisticsAsync(
        HttpContext httpContext,
        ThorChatCompletionsRequest request,
        Guid? userId = null,
        Guid? sessionId = null,
        CancellationToken cancellationToken = default)
    {
        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");


        var gateWay = LazyServiceProvider.GetRequiredService<AiGateWayManager>();
        var completeChatResponse = gateWay.CompleteChatStreamAsync(request, cancellationToken);
        var tokenUsage = new ThorUsageResponse();

        //缓存队列算法
        // 创建一个队列来缓存消息
        var messageQueue = new ConcurrentQueue<string>();

        StringBuilder backupSystemContent = new StringBuilder();
        // 设置输出速率（例如每50毫秒输出一次）
        var outputInterval = TimeSpan.FromMilliseconds(75);
        // 标记是否完成接收
        var isComplete = false;
        // 启动一个后台任务来消费队列
        var outputTask = Task.Run(async () =>
        {
            while (!(isComplete && messageQueue.IsEmpty))
            {
                if (messageQueue.TryDequeue(out var message))
                {
                    await response.WriteAsync(message, Encoding.UTF8, cancellationToken).ConfigureAwait(false);
                    await response.Body.FlushAsync(cancellationToken).ConfigureAwait(false);
                }

                if (!isComplete)
                {
                    // 如果没有完成，才等待，已完成，全部输出
                    await Task.Delay(outputInterval, cancellationToken).ConfigureAwait(false);
                }
            }
        }, cancellationToken);


        //IAsyncEnumerable 只能在最外层捕获异常（如果你有其他办法的话...）
        try
        {
            await foreach (var data in completeChatResponse)
            {
                if (data.Usage is not null)
                {
                    tokenUsage = data.Usage;
                }

                var message = System.Text.Json.JsonSerializer.Serialize(data, ThorJsonSerializer.DefaultOptions);
                backupSystemContent.Append(data.Choices.FirstOrDefault()?.Delta.Content);
                // 将消息加入队列而不是直接写入
                messageQueue.Enqueue($"data: {message}\n\n");
            }
        }
        catch (Exception e)
        {
            _logger.LogError(e, $"Ai对话异常");
            var errorContent = $"对话Ai异常，异常信息：\n当前Ai模型：{request.Model}\n异常信息：{e.Message}\n异常堆栈:{e}";
            var model = new ThorChatCompletionsResponse()
            {
                Choices = new List<ThorChatChoiceResponse>()
                {
                    new ThorChatChoiceResponse()
                    {
                        Delta = new ThorChatMessage()
                        {
                            Content = errorContent
                        }
                    }
                }
            };
            var message = JsonConvert.SerializeObject(model, new JsonSerializerSettings
            {
                ContractResolver = new CamelCasePropertyNamesContractResolver()
            });
            backupSystemContent.Append(errorContent);
            messageQueue.Enqueue($"data: {message}\n\n");
        }

        //断开连接
        messageQueue.Enqueue("data: [DONE]\n\n");
        // 标记完成并发送结束标记
        isComplete = true;

        await outputTask;


        await _aiMessageManager.CreateUserMessageAsync(userId, sessionId,
            new MessageInputDto
            {
                Content = request.Messages?.LastOrDefault()?.Content ?? string.Empty,
                ModelId = request.Model,
                TokenUsage = tokenUsage,
            });

        await _aiMessageManager.CreateSystemMessageAsync(userId, sessionId,
            new MessageInputDto
            {
                Content = backupSystemContent.ToString(),
                ModelId = request.Model,
                TokenUsage = tokenUsage
            });

        await _usageStatisticsManager.SetUsageAsync(userId, request.Model, tokenUsage);
    }


    /// <summary>
    /// 图片生成
    /// </summary>
    /// <param name="context"></param>
    /// <param name="userId"></param>
    /// <param name="sessionId"></param>
    /// <param name="request"></param>
    /// <exception cref="BusinessException"></exception>
    /// <exception cref="Exception"></exception>
    public async Task CreateImageForStatisticsAsync(HttpContext context, Guid? userId, Guid? sessionId,
        ImageCreateRequest request)
    {
        try
        {
            var model = request.Model;
            if (string.IsNullOrEmpty(model)) model = "dall-e-2";

            var modelDescribe = await GetModelAsync(model);

            // 获取渠道指定的实现类型的服务
            var imageService =
                LazyServiceProvider.GetRequiredKeyedService<IImageService>(modelDescribe.HandlerName);

            var response = await imageService.CreateImage(request, modelDescribe);

            if (response.Error != null || response.Results.Count == 0)
            {
                throw new BusinessException(response.Error?.Message ?? "图片生成失败", response.Error?.Code?.ToString());
            }

            await context.Response.WriteAsJsonAsync(response);

            await _aiMessageManager.CreateUserMessageAsync(userId, sessionId,
                new MessageInputDto
                {
                    Content = request.Prompt,
                    ModelId = model,
                    TokenUsage = response.Usage,
                });

            await _aiMessageManager.CreateSystemMessageAsync(userId, sessionId,
                new MessageInputDto
                {
                    Content = response.Results?.FirstOrDefault()?.Url,
                    ModelId = model,
                    TokenUsage = response.Usage
                });

            await _usageStatisticsManager.SetUsageAsync(userId, model, response.Usage);
        }
        catch (Exception e)
        {
            var errorContent = $"图片生成Ai异常，异常信息：\n当前Ai模型：{request.Model}\n异常信息：{e.Message}\n异常堆栈:{e}";
            throw new UserFriendlyException(errorContent);
        }
    }


    /// <summary>
    /// 向量生成
    /// </summary>
    /// <param name="context"></param>
    /// <param name="sessionId"></param>
    /// <param name="input"></param>
    /// <param name="userId"></param>
    /// <exception cref="Exception"></exception>
    /// <exception cref="BusinessException"></exception>
    public async Task EmbeddingForStatisticsAsync(HttpContext context, Guid? userId, Guid? sessionId,
        ThorEmbeddingInput input)
    {
        try
        {
            if (input == null) throw new Exception("模型校验异常");

            using var embedding =
                Activity.Current?.Source.StartActivity("向量模型调用");

            var modelDescribe = await GetModelAsync(input.Model);

            // 获取渠道指定的实现类型的服务
            var embeddingService =
                LazyServiceProvider.GetRequiredKeyedService<ITextEmbeddingService>(modelDescribe.HandlerName);

            var embeddingCreateRequest = new EmbeddingCreateRequest
            {
                Model = input.Model,
                EncodingFormat = input.EncodingFormat
            };

            //dto进行转换，支持多种格式
            if (input.Input is JsonElement str)
            {
                if (str.ValueKind == JsonValueKind.String)
                {
                    embeddingCreateRequest.Input = str.ToString();
                }
                else if (str.ValueKind == JsonValueKind.Array)
                {
                    var inputString = str.EnumerateArray().Select(x => x.ToString()).ToArray();
                    embeddingCreateRequest.InputAsList = inputString.ToList();
                }
                else
                {
                    throw new Exception("Input，输入格式错误，非string或Array类型");
                }
            }
            else if (input.Input is string strInput)
            {
                embeddingCreateRequest.Input = strInput;
            }
            else
            {
                throw new Exception("Input，输入格式错误，未找到类型");
            }


            var stream =
                await embeddingService.EmbeddingAsync(embeddingCreateRequest, modelDescribe, context.RequestAborted);

            var usage = new ThorUsageResponse()
            {
                InputTokens = stream.Usage?.InputTokens ?? 0,
                CompletionTokens = 0,
                TotalTokens = stream.Usage?.InputTokens ?? 0
            };
            await context.Response.WriteAsJsonAsync(new
            {
                input.Model,
                stream.Data,
                stream.Error,
                stream.ObjectTypeName,
                Usage = usage
            });

            //知识库暂不使用message统计
            // await _aiMessageManager.CreateUserMessageAsync(userId, sessionId,
            //     new MessageInputDto
            //     {
            //         Content = string.Empty,
            //         ModelId = input.Model,
            //         TokenUsage = usage,
            //     });
            //
            // await _aiMessageManager.CreateSystemMessageAsync(userId, sessionId,
            //     new MessageInputDto
            //     {
            //         Content = string.Empty,
            //         ModelId = input.Model,
            //         TokenUsage = usage
            //     });

            await _usageStatisticsManager.SetUsageAsync(userId, input.Model, usage);
        }
        catch (ThorRateLimitException)
        {
            context.Response.StatusCode = 429;
        }
        catch (UnauthorizedAccessException e)
        {
            context.Response.StatusCode = 401;
        }
        catch (Exception e)
        {
            var errorContent = $"嵌入Ai异常，异常信息：\n当前Ai模型：{input.Model}\n异常信息：{e.Message}\n异常堆栈:{e}";
            throw new UserFriendlyException(errorContent);
        }
    }
}