using CMS.Extensions.Variable;
using CMS.Plugin.FlowManagement.Abstractions.FlowBusiness;
using CMS.Plugin.PipeLineLems.Apis;
using CMS.Plugin.PipeLineLems.Application.Contracts.Dtos.MyTestEntityNames;
using CMS.Plugin.PipeLineLems.Domain.MyTestEntityNames;
using CMS.Plugin.PipeLineLems.Jobs;
using CMS.Plugin.ProcessManagement.Abstractions;
using CMS.Plugin.TraceManagement.Abstractions.Models.Traces;
using CMS.Plugin.TraceManagement.Abstractions;
using CMS.Project;
using CMS.Project.Abstractions;
using CMS.Unit.RuntimeValue.Abstractions;
using KissUtil.Extensions;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Logging;
using System;
using Volo.Abp.BackgroundJobs;
using Volo.Abp.Uow;

namespace CMS.Plugin.PipeLineLems.ProjectService
{
    /// <summary>
    /// 工程服务，和工程关联的后台服务，当<see cref="IProjectServiceRunner"/>以当前Key调用时会被执行
    /// </summary>
    public class PipeLineLemsProjectService : BaseProjectService
    {
        private IServiceProvider _serviceProvider;
        private readonly ILogger<PipeLineLemsProjectService> _logger;
        private readonly IVariableDataCache _variableDataCache;
        private readonly IWorkSectionManager _workSectionManager;
        /// <summary>
        /// 变量服务
        /// </summary>
        private readonly VariableService _variableService;
        private FlowVariableChannelListener _channelListener;
        private Dictionary<string, string> _monitorVariableNames;

        /// <summary>
        /// 服务的Key，唯一，供<see cref="IProjectServiceRunner"/>使用
        /// </summary>
        public override string Key => "PipeLineLems";

        /// <summary>
        /// 服务描述，显示在服务列表UI上的名称
        /// </summary>
        public override string Description => "PipeLineLems服务";

        /// <summary>
        /// 启用授权
        /// </summary>
        public override bool AuthRequired => true;

        /// <summary>
        /// Initializes a new instance of the <see cref="PipeLineLemsProjectService"/> class.
        /// </summary>
        /// <param name="logger">The logger.</param>
        /// <param name="variableDataCache">The variable data cache.</param>
        public PipeLineLemsProjectService(
            IWorkSectionManager workSectionManager,
            VariableService variableService,
            IServiceProvider serviceProvider, ILogger<PipeLineLemsProjectService> logger, IVariableDataCache variableDataCache)
        {
            _serviceProvider = serviceProvider;
            _logger = logger;
            _variableDataCache = variableDataCache;
            _variableService = variableService;
            _workSectionManager = workSectionManager;
        }

        /// <summary>
        /// 开启服务
        /// </summary>
        /// <param name="serviceProvider">具有工程上下文的实例</param>
        public override async Task StartAsync(IServiceProvider serviceProvider)
        {
            if (State == ProjectServiceState.Started)
            {
                return;
            }

            // 监听变量
            _monitorVariableNames = new Dictionary<string, string>
            {
                { "打码进站信号", "打码进站信号(描述)" },
            };

            // 创建通道监听
            _channelListener?.Token?.Dispose();
            _channelListener = new FlowVariableChannelListener(_logger, _variableDataCache);
            _channelListener.CreateChannel(Key, waitListener: false, timeout: TimeSpan.FromSeconds(30), variableFilter: _monitorVariableNames.Keys.ToHashSet());
            _channelListener.TagChanged += OnTagValueChanged;

            await base.StartAsync(serviceProvider);
        }

        /// <summary>
        /// 停止服务
        /// </summary>
        /// <param name="serviceProvider">具有工程上下文的实例</param>
        public override async Task StopAsync(IServiceProvider serviceProvider)
        {
            if (_channelListener != null)
            {
                // 释放监听
                _channelListener.TagChanged -= OnTagValueChanged;
                _channelListener.Token.Dispose();
                _channelListener = null;
            }

            // 使用后台作业异步处理
            //await _serviceProvider.GetRequiredService<IBackgroundJobManager>().EnqueueAsync(new PipeLineLemsArgs
            //{
            //    Subject = "PipeLineLems_Subject",
            //    Body = "PipeLineLems_Body",
            //});


            await base.StopAsync(serviceProvider);
        }

        /// <summary>
        /// Called when [tag value changed].
        /// </summary>
        /// <param name="sender">The sender.</param>
        /// <param name="e">The <see cref="TagChangedEventArgs"/> instance containing the event data.</param>
        private async void OnTagValueChanged(object sender, TagChangedEventArgs e)
        {
            var changeds = e.Changeds.Where(x => _monitorVariableNames != null && _monitorVariableNames.ContainsKey(x.Name));
            if (!changeds.Any())
            {
                return;
            }

            foreach (var changed in changeds)
            {
                var oldValue = changed.Old?.Value;
                var newValue = changed.New?.Value;
                var traceId = e.TraceId;

                _logger.LogInformation($"{changed.Name} 变量值发生变化，旧值{oldValue}=新值{newValue}，TraceId={traceId}");

                if (changed.Name == "打码进站信号" && changed.New?.Value.SafeString().ToBool() == true)
                {

                    // TODO: 处理变量值变化
                    // Tips：https://cms-docs.shengyc.com/cms/api/%E5%90%8E%E7%AB%AF#3-%E5%8F%98%E9%87%8F%E6%A8%A1%E5%9D%97
                    /* 说明：通过订阅 IVariableDataCache.TagChanged 事件，您可以实时监控变量的变化。此事件会传递所有变量至事件处理函数，因此，业务层需在函数中筛选关注的变量。
                        注意事项：
                        （1）性能影响： 发布事件时，事件的发送者将阻塞流程。因此，强烈建议避免在事件处理函数中执行 I/ O 操作、HTTP 接口访问或其他耗时操作，以防止对系统性能产生严重影响，导致整个系统响应延迟。
                        （2）高频率触发： 由于事件订阅了全量变量，触发频率可能非常高。
                        （3）异步处理： 鉴于事件触发频率很高，建议业务层在筛选关注变量后，使用 Task 启动新线程处理业务逻辑，以避免阻塞核心的变量监听功能，实现业务层与平台基座的解耦。
                        （4）并发管理： 如果业务层并发量大，必须优化代码设计和实施，以减少在高并发情况下的系统资源消耗，防止系统性能问题。
                        （5）代码安全： 安装并使用 CMS.CodeAnalysis 分析器来分析 IVariableDataCache.TagChanged 的使用情况。该工具能在使用不当时提供编译错误，帮助您提高代码质量。*/

                    _ = Task.Run(async () =>
                    {
                        //await HanlderForPringBarCodeAsync();
                        // 例1：同步处理
                        //await ProcessAsync();

                        // 例2：调用外部API
                        //await ExecuteExternalApiAsync();
                    });
                }

                //if (changed.Name == "切割进站信号" && changed.New?.Value.SafeString().ToBool() == true)
                //{

                //    // TODO: 处理变量值变化
                //    // Tips：https://cms-docs.shengyc.com/cms/api/%E5%90%8E%E7%AB%AF#3-%E5%8F%98%E9%87%8F%E6%A8%A1%E5%9D%97
                //    /* 说明：通过订阅 IVariableDataCache.TagChanged 事件，您可以实时监控变量的变化。此事件会传递所有变量至事件处理函数，因此，业务层需在函数中筛选关注的变量。
                //        注意事项：
                //        （1）性能影响： 发布事件时，事件的发送者将阻塞流程。因此，强烈建议避免在事件处理函数中执行 I/ O 操作、HTTP 接口访问或其他耗时操作，以防止对系统性能产生严重影响，导致整个系统响应延迟。
                //        （2）高频率触发： 由于事件订阅了全量变量，触发频率可能非常高。
                //        （3）异步处理： 鉴于事件触发频率很高，建议业务层在筛选关注变量后，使用 Task 启动新线程处理业务逻辑，以避免阻塞核心的变量监听功能，实现业务层与平台基座的解耦。
                //        （4）并发管理： 如果业务层并发量大，必须优化代码设计和实施，以减少在高并发情况下的系统资源消耗，防止系统性能问题。
                //        （5）代码安全： 安装并使用 CMS.CodeAnalysis 分析器来分析 IVariableDataCache.TagChanged 的使用情况。该工具能在使用不当时提供编译错误，帮助您提高代码质量。*/

                //    _ = Task.Run(async () =>
                //    {
                //        await HanlderForCutAsync();
                //        // 例1：同步处理
                //        //await ProcessAsync();

                //        // 例2：调用外部API
                //        //await ExecuteExternalApiAsync();
                //    });
                //}
            }
        }

        /// <summary>
        /// Processes the asynchronous.
        /// </summary>
        private async Task ProcessAsync()
        {
            using var scope = _serviceProvider.CreateScope();
            var unitOfWorkManager = scope.ServiceProvider.GetRequiredService<IUnitOfWorkManager>();
            using var uow = unitOfWorkManager.Begin(requiresNew: true);
            var mytestentitynameRepository = scope.ServiceProvider.GetRequiredService<IMyTestEntityNameRepository>();
            var count = await mytestentitynameRepository.GetCountAsync();

            // 如果有更新数据库操作，需提交保存
            // await uow.SaveChangesAsync();

            _logger.LogInformation($"ProcessAsync，Count={count}");
        }

        /// <summary>
        /// Executes the external API.
        /// </summary>
        private async Task ExecuteExternalApiAsync()
        {
            try
            {
                await _serviceProvider.GetRequiredService<IPipeLineLemsExternalApi>().CreateAsync(new MyTestEntityNameCreateDto
                {
                    Name = "MyTestEntityName_Name",
                    Code = "MyTestEntityName_Code",
                });
            }
            catch (Exception e)
            {
                _logger.LogException(e);
            }
        }

        /// <summary>
        /// 打码
        /// </summary>
        /// <returns></returns>
        private async Task HanlderForPringBarCodeAsync()
        {

            var plcTaskNo = await _variableService.ReadValueAsync("打码进站PLC任务号");

            if (string.IsNullOrEmpty(plcTaskNo?.Content?.Value.SafeString().ToString()))
            {

            }
            else
            {
                var myTaskNo = plcTaskNo.Content.Value.SafeString().ToString();
                //TODO:暂时先写入 内部变量
                Dictionary<string, object?> keyValuePairs = new Dictionary<string, object?>
                    {
                        { "打码1", "11111111" },
                        { "打码2", "22222222" },
                        { "打码3", "33333333" }
                    };
                _variableService.WriteValueAsync(keyValuePairs);

                //TODO:模拟采集参数
                keyValuePairs = new Dictionary<string, object?>
                    {
                        { "打码速度", 100},
                        { "打码质量", 2},
                    };
                var ret2 = _variableService.WriteValueAsync(keyValuePairs);

                //TODO:暂时生成产品ID
                //var productID = Guid.NewGuid().ToString();
                var productID = DateTime.Now.ToString("yyyyMMddHHmmssfff");
                keyValuePairs = new Dictionary<string, object?>
                    {
                        { "打码_ProductID", productID},
                    };
                var ret = _variableService.WriteValueAsync(keyValuePairs);
            }
        }


        /// <summary>
        /// 切割
        /// </summary>
        /// <returns></returns>
        private async Task HanlderForCutAsync()
        {

            var plcTaskNo = await _variableService.ReadValueAsync("切割进站PLC任务号");

            if (string.IsNullOrEmpty(plcTaskNo?.Content?.Value.SafeString().ToString()))
            {

            }
            else
            {
                var myTaskNo = plcTaskNo.Content.Value.SafeString().ToString();
                //TODO:暂时先写入 内部变量
                Dictionary<string, object?> keyValuePairs = new Dictionary<string, object?>
                    {
                        { "切割1", "555555" },
                        { "切割2", "66666" },
                        { "切割3", "77777" }
                    };
                _variableService.WriteValueAsync(keyValuePairs);

                //TODO:模拟采集参数
                keyValuePairs = new Dictionary<string, object?>
                    {
                        { "切割速度", 99},
                        { "切割质量", 1},
                    };
                var ret2 = _variableService.WriteValueAsync(keyValuePairs);

                //TODO:暂时生成产品ID
                //获取上一个工序的产品ID
                //根据工序名获取工序对象
                var lastWorkSection = "打码工序";
                var workSection = await _workSectionManager.GetByNameAsync(lastWorkSection);

                //获取工单数据（从末工序查询3个产品）
                //读取scms_productions表，根据当前时间查询最近3条记录
                var traceManager = _serviceProvider.GetRequiredService<ITraceProvider>();
                GetTracesRequest request = new GetTracesRequest()
                {
                    WorkSectionId = workSection.Id,
                };
                TraceModel traceModel = null;
                var list = await traceManager.GetTracesAsync(request);
                if (list?.Count > 0)
                {
                    //重新排序
                    list = list.OrderByDescending(x => x.FinishTime).ToList();
                    traceModel = list.First();
                }
                //var productID = Guid.NewGuid().ToString();
                var productID = DateTime.Now.ToString("yyyyMMddHHmmssfff");
                if (traceModel != null)
                {
                    productID = traceModel.SerialNumber;
                }
                keyValuePairs = new Dictionary<string, object?>
                    {
                        { "切割_ProductID", productID},
                    };
                var ret = _variableService.WriteValueAsync(keyValuePairs);
            }
        }
    }
}