paiban/NPP.SmartSchedue.Api/Services/Integration/Algorithms/GlobalOptimizationEngine.cs

using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.Linq;
using System.Threading.Tasks;
using Microsoft.Extensions.Logging;
using NPP.SmartSchedue.Api.Contracts.Domain.Work;
using NPP.SmartSchedue.Api.Contracts.Services.Integration.Internal;
using NPP.SmartSchedue.Api.Contracts.Services.Integration.Output;
using NPP.SmartSchedue.Api.Services.Integration.Algorithms;

namespace NPP.SmartSchedue.Api.Services.Integration.Algorithms
{
    /// <summary>
    /// 全局优化引擎 - 专门负责遗传算法优化和结果处理
    /// 设计原则：高内聚、低耦合、单一职责、易维护
    /// 核心价值：为智能调度提供高性能的全局优化能力
    /// </summary>
    public class GlobalOptimizationEngine
    {
        #region 私有字段

        private readonly GeneticAlgorithmEngine _geneticEngine;
        private readonly LinearProgrammingEngine _linearProgrammingEngine;
        private readonly ILogger<GlobalOptimizationEngine> _logger;

        // 人员名称缓存
        private readonly Dictionary<long, string> _personnelNameCache = new();

        #endregion

        #region 构造函数

        /// <summary>
        /// 构造函数 - 依赖注入模式
        /// </summary>
        public GlobalOptimizationEngine(
            GeneticAlgorithmEngine geneticEngine,
            LinearProgrammingEngine linearProgrammingEngine,
            ILogger<GlobalOptimizationEngine> logger)
        {
            _geneticEngine = geneticEngine ?? throw new ArgumentNullException(nameof(geneticEngine));
            _linearProgrammingEngine = linearProgrammingEngine ?? throw new ArgumentNullException(nameof(linearProgrammingEngine));
            _logger = logger ?? throw new ArgumentNullException(nameof(logger));
        }

        #endregion

        #region 公共方法

        /// <summary>
        /// 执行全局优化算法 - 主入口方法
        /// 业务流程：预筛选验证 → 遗传算法优化 → 公平性分析 → 智能协商 → 业务规则验证 → 结果构建
        /// 核心流程：遗传算法优化 → 基尼系数计算 → 智能协商 → 结果封装
        /// 性能目标：通过精英策略和收敛检测控制计算复杂度
        /// </summary>
        /// <param name="context">全局分配上下文，包含任务、人员、配置等所有必需信息</param>
        /// <returns>优化后的分配结果，包含成功匹配、失败项、性能指标</returns>
        public async Task<GlobalAllocationResult> ExecuteOptimizationAsync(GlobalAllocationContext context)
        {
            var result = new GlobalAllocationResult();
            var metrics = new GlobalOptimizationMetrics();
            var executionStopwatch = Stopwatch.StartNew();

            try
            {
                _logger.LogInformation("🧬 开始全局优化执行");

                // 第一步：验证预筛选结果
                if (!ValidatePrefilterResults(context, result))
                {
                    return result;
                }

                LogPrefilterStatistics(context);

                // 第二步：智能选择优化算法
                GlobalOptimizedSolution optimizedSolution;
                var taskCount = context.Tasks.Count;
                var personnelCount = context.AvailablePersonnel.Count;

                // 根据问题规模选择最优算法：小规模用线性规划，大规模用遗传算法

                _logger.LogInformation("🎯 第2步：执行线性规划优化 - 任务数：{TaskCount}，人员数：{PersonnelCount}",
                    taskCount, personnelCount);
                optimizedSolution = await _linearProgrammingEngine.OptimizeAsync(context);
                
                executionStopwatch.Stop();

                LogOptimizationResults(optimizedSolution, executionStopwatch.ElapsedMilliseconds, context,
                    taskCount <= 20 && personnelCount <= 10);

                // 第三步：执行后续处理流程
                await ExecutePostOptimizationProcessingAsync(optimizedSolution, context, result);

                // 第四步：构建最终结果
                BuildFinalResult(optimizedSolution, result, metrics, executionStopwatch.ElapsedMilliseconds);

                return result;
            }
            catch (Exception ex)
            {
                executionStopwatch.Stop();
                _logger.LogError(ex, "💥 全局优化执行异常，耗时：{ElapsedMs}ms", executionStopwatch.ElapsedMilliseconds);
                return CreateErrorResult(ex.Message);
            }
        }

        #endregion

        #region 验证和统计方法

        /// <summary>
        /// 验证预筛选结果的有效性
        /// </summary>
        private bool ValidatePrefilterResults(GlobalAllocationContext context, GlobalAllocationResult result)
        {
            if (!context.PrefilterResults.Any())
            {
                _logger.LogError("❌ 无预筛选结果！无法进行遗传算法优化");
                result.IsSuccess = false;
                result.AllocationSummary = "预筛选阶段未找到可行的任务-人员组合";
                return false;
            }

            return true;
        }

        /// <summary>
        /// 记录预筛选统计信息
        /// </summary>
        private void LogPrefilterStatistics(GlobalAllocationContext context)
        {
            var totalCombinations = context.Tasks.Count * context.AvailablePersonnel.Count;
            var feasibleCount = context.PrefilterResults.Count(p => p.Value.IsFeasible);
            var feasibilityRate = feasibleCount / (double)Math.Max(context.PrefilterResults.Count, 1);

            _logger.LogInformation("📊 预筛选统计 - 总组合：{TotalCombinations}，可行组合：{FeasibleCount}，可行率：{FeasibilityRate:P2}",
                totalCombinations, feasibleCount, feasibilityRate);
        }

        /// <summary>
        /// 记录优化结果统计
        /// </summary>
        private void LogOptimizationResults(GlobalOptimizedSolution optimizedSolution, long elapsedMs, GlobalAllocationContext context, bool isLinearProgramming = false)
        {
            if (isLinearProgramming)
            {
                _logger.LogInformation("🎯 线性规划完成 - 耗时：{ElapsedMs}ms，目标函数值：{BestFitness:F2}，约束满足率：{ConstraintRate:P2}",
                    elapsedMs, optimizedSolution.BestFitness, optimizedSolution.ConstraintSatisfactionRate);
            }
            else
            {
                _logger.LogInformation("🎯 遗传算法完成 - 耗时：{ElapsedMs}ms，执行代数：{ActualGens}/{MaxGens}，最佳适应度：{BestFitness:F2}，约束满足率：{ConstraintRate:P2}",
                    elapsedMs, optimizedSolution.ActualGenerations, context.Config.MaxGenerations,
                    optimizedSolution.BestFitness, optimizedSolution.ConstraintSatisfactionRate);
            }
        }

        #endregion

        #region 后续处理流程

        /// <summary>
        /// 执行优化后的处理流程
        /// 包括：公平性分析 → 智能协商 → 业务规则验证
        /// </summary>
        private async Task ExecutePostOptimizationProcessingAsync(
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            GlobalAllocationResult result)
        {
            // 公平性分析
            await ExecuteFairnessAnalysisAsync(optimizedSolution, result);

            // 智能协商
            //await ExecuteIntelligentNegotiationAsync(optimizedSolution, context, result);

            // 最终业务规则验证
            //await ExecuteFinalValidationAsync(optimizedSolution, context, result);
        }

        /// <summary>
        /// 执行公平性分析
        /// </summary>
        private async Task ExecuteFairnessAnalysisAsync(GlobalOptimizedSolution optimizedSolution, GlobalAllocationResult result)
        {
            await Task.CompletedTask; // 保持异步接口

            _logger.LogInformation("📈 第3步：计算公平性分析");
            var fairnessAnalysis = CalculateWorkloadFairness(optimizedSolution);
            
            _logger.LogInformation("📊 公平性分析完成 - 基尼系数：{GiniCoeff:F3}", fairnessAnalysis.GiniCoefficient);
            
            result.FairnessAnalysis = fairnessAnalysis;
        }

        /// <summary>
        /// 执行智能协商 - 完整的冲突检测与解决方案引擎
        /// 【业务价值】：通过智能冲突检测和多策略协商，确保遗传算法结果符合业务规则
        /// 【核心逻辑】：分层优先级处理、多维度冲突检测、智能决策选择最优解决方案
        /// 【深度思考】：协商成功率直接影响最终分配质量，必须兼顾效率和准确性
        /// 【技术特色】：利用预加载数据、并行检测、缓存优化实现高性能智能协商
        /// </summary>
        /// <param name="optimizedSolution">遗传算法优化后的解决方案</param>
        /// <param name="context">全局分配上下文，包含所有必要的缓存数据</param>
        /// <param name="result">最终分配结果，用于存储协商操作和冲突检测信息</param>
        /// <returns>异步任务</returns>
        private async Task ExecuteIntelligentNegotiationAsync(
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            GlobalAllocationResult result)
        {
            var negotiationStartTime = DateTime.Now;
            var negotiationActions = new List<GlobalNegotiationAction>();
            var conflictDetections = new List<GlobalConflictDetectionInfo>();
            
            try
            {
                _logger.LogInformation("🤝 第4步：执行智能协商处理冲突 - 分析{TaskCount}个任务分配", 
                    optimizedSolution.BestSolution?.Count ?? 0);

                // 【前置验证】检查输入数据有效性
                if (optimizedSolution?.BestSolution == null || !optimizedSolution.BestSolution.Any())
                {
                    _logger.LogWarning("⚠️ 智能协商跳过 - 无有效的遗传算法分配方案");
                    await CompleteNegotiationWithEmptyResult(result, negotiationActions, conflictDetections);
                    return;
                }

                // 【第一阶段】全面冲突检测 - 识别所有类型的约束冲突
                _logger.LogInformation("🔍 阶段1：全面冲突检测");
                await ExecuteComprehensiveConflictDetectionAsync(optimizedSolution, context, conflictDetections);

                // 【第二阶段】冲突分析与优先级排序
                _logger.LogInformation("📊 阶段2：冲突分析与优先级排序");
                var prioritizedConflicts = AnalyzeAndPrioritizeConflicts(conflictDetections);

                // 【第三阶段】智能解决方案生成与执行
                _logger.LogInformation("💡 阶段3：智能解决方案生成");
                await ExecuteIntelligentResolutionStrategiesAsync(
                    prioritizedConflicts, optimizedSolution, context, negotiationActions, conflictDetections);

                // 【第四阶段】协商结果验证与优化
                _logger.LogInformation("✅ 阶段4：协商结果验证");
                await ValidateNegotiationResultsAsync(optimizedSolution, context, negotiationActions, conflictDetections);

                // 【结果统计与性能分析】
                var negotiationDuration = DateTime.Now - negotiationStartTime;
                LogNegotiationResults(negotiationActions, conflictDetections, negotiationDuration);

                // 【最终结果封装】
                await CompleteNegotiationWithResults(result, negotiationActions, conflictDetections);

            }
            catch (Exception ex)
            {
                var negotiationDuration = DateTime.Now - negotiationStartTime;
                _logger.LogError(ex, "💥 智能协商异常 - 执行时间：{Duration}ms", negotiationDuration.TotalMilliseconds);
                
                // 【异常处理】创建异常信息记录，确保系统稳定性
                var errorConflict = new GlobalConflictDetectionInfo
                {
                    ConflictType = GlobalConflictType.LoadImbalance, // 使用通用冲突类型
                    TaskId = 0,
                    PersonnelId = 0,
                    Severity = GlobalConflictSeverity.High,
                    Description = $"智能协商执行异常: {ex.Message}",
                    IsResolved = false
                };
                conflictDetections.Add(errorConflict);
                
                await CompleteNegotiationWithResults(result, negotiationActions, conflictDetections);
            }
        }

        /// <summary>
        /// 执行全面冲突检测 - 多维度并行检测所有潜在冲突
        /// 【业务逻辑】：整合班次规则、资质匹配、时间约束、负载均衡等多个维度进行全面检测
        /// 【性能优化】：利用预加载缓存和并行检测提升检测效率
        /// 【深度思考】：每种冲突类型都有其业务优先级，必须确保检测的完整性和准确性
        /// </summary>
        /// <param name="optimizedSolution">遗传算法优化解决方案</param>
        /// <param name="context">全局分配上下文</param>
        /// <param name="conflictDetections">冲突检测结果列表</param>
        private async Task ExecuteComprehensiveConflictDetectionAsync(
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            List<GlobalConflictDetectionInfo> conflictDetections)
        {
            var detectionTasks = new List<Task>();
            
            // 【并行检测1】班次规则冲突检测 - 最重要的约束检测
            detectionTasks.Add(DetectShiftRuleConflictsAsync(optimizedSolution, context, conflictDetections));
            
            // 【并行检测2】资质匹配冲突检测 - 确保人员技能符合任务要求
            detectionTasks.Add(DetectQualificationMismatchesAsync(optimizedSolution, context, conflictDetections));
            
            // 【并行检测3】时间不可用冲突检测 - 人员请假、不可用时间冲突
            detectionTasks.Add(DetectTimeUnavailabilityConflictsAsync(optimizedSolution, context, conflictDetections));
            
            // 【并行检测4】工作负载超限检测 - 防止人员工作量过载
            detectionTasks.Add(DetectWorkLimitExceededConflictsAsync(optimizedSolution, context, conflictDetections));
            
            // 【并行检测5】负载不均衡检测 - 基于公平性分析的负载平衡检查
            detectionTasks.Add(DetectLoadImbalanceConflictsAsync(optimizedSolution, context, conflictDetections));

            // 【等待所有检测完成】确保所有维度的冲突都被识别
            await Task.WhenAll(detectionTasks);
            
            _logger.LogInformation("🔍 全面冲突检测完成 - 共发现{ConflictCount}个冲突", conflictDetections.Count);
        }

        /// <summary>
        /// 检测班次规则冲突 - 利用ShiftRuleValidationEngine进行深度验证
        /// 【业务关键】：班次规则是最重要的硬约束，违反会导致排班不可执行
        /// 【深度整合】：调用现有的ShiftRuleValidationEngine，确保验证逻辑的一致性
        /// </summary>
        private async Task DetectShiftRuleConflictsAsync(
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            List<GlobalConflictDetectionInfo> conflictDetections)
        {
            try
            {
                _logger.LogDebug("🔍 开始班次规则冲突检测");
                
                // 【创建班次规则验证引擎】使用现有的成熟验证逻辑
                // 注意：由于Logger类型不匹配，这里先注释掉实际的引擎调用
                // var shiftRuleEngine = new ShiftRuleValidationEngine(_logger, null, context);
                
                var shiftRuleConflictCount = 0;
                
                // 【逐个任务验证】对每个分配的任务进行班次规则验证
                foreach (var allocation in optimizedSolution.BestSolution)
                {
                    var taskId = allocation.Key;
                    var personnelId = allocation.Value;
                    
                    // 【获取任务信息】从上下文中获取任务详情
                    var currentTask = context.Tasks.FirstOrDefault(t => t.Id == taskId);
                    if (currentTask == null)
                    {
                        _logger.LogWarning("⚠️ 任务{TaskId}信息不存在，跳过班次规则检测", taskId);
                        continue;
                    }
                    
                    // 【构建批次上下文】创建其他相关任务的上下文（排除当前任务）
                    var batchContext = optimizedSolution.BestSolution
                        .Where(kvp => kvp.Value == personnelId && kvp.Key != taskId)
                        .Select(kvp => context.Tasks.FirstOrDefault(t => t.Id == kvp.Key))
                        .Where(t => t != null)
                        .ToList();
                    
                    // 【执行班次规则验证】调用成熟的验证引擎
                    try 
                    {
                        // 注意：这里简化处理，实际应该传入IShiftService实例
                        // var ruleViolations = await shiftRuleEngine.ValidateShiftRulesWithEnhancedBatchContextAsync(
                        //     personnelId, currentTask, batchContext);
                        
                        // 【临时实现】创建模拟的规则冲突检测，后续需要完整整合
                        var ruleViolations = await SimulateShiftRuleValidation(personnelId, currentTask, batchContext, context);
                        
                        // 【转换冲突格式】将规则违规转换为标准冲突检测格式
                        foreach (var violation in ruleViolations)
                        {
                            var conflictInfo = new GlobalConflictDetectionInfo
                            {
                                ConflictType = DetermineConflictTypeFromViolation(violation),
                                TaskId = taskId,
                                PersonnelId = personnelId,
                                Severity = DetermineConflictSeverity(violation),
                                Description = $"班次规则冲突: {violation}",
                                IsResolved = false
                            };
                            
                            conflictDetections.Add(conflictInfo);
                            shiftRuleConflictCount++;
                        }
                    }
                    catch (Exception ex)
                    {
                        _logger.LogError(ex, "⚠️ 任务{TaskId}人员{PersonnelId}班次规则检测异常", taskId, personnelId);
                        
                        // 【异常处理】创建异常冲突记录
                        var errorConflict = new GlobalConflictDetectionInfo
                        {
                            ConflictType = GlobalConflictType.NextDayRestViolation,
                            TaskId = taskId,
                            PersonnelId = personnelId,
                            Severity = GlobalConflictSeverity.Medium,
                            Description = $"班次规则验证异常: {ex.Message}",
                            IsResolved = false
                        };
                        conflictDetections.Add(errorConflict);
                    }
                }
                
                _logger.LogInformation("🔍 班次规则冲突检测完成 - 发现{ConflictCount}个冲突", shiftRuleConflictCount);
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "💥 班次规则冲突检测整体异常");
            }
        }

        /// <summary>
        /// 模拟班次规则验证 - 临时实现，后续需要完整整合ShiftRuleValidationEngine
        /// 【临时方案】：由于依赖注入的复杂性，先提供基础的规则检测逻辑
        /// 【TODO】：完整整合ShiftRuleValidationEngine的依赖注入
        /// </summary>
        private async Task<List<string>> SimulateShiftRuleValidation(
            long personnelId, 
            WorkOrderEntity currentTask, 
            List<WorkOrderEntity> batchContext,
            GlobalAllocationContext context)
        {
            var violations = new List<string>();
            await Task.CompletedTask; // 保持异步接口
            
            try
            {
                // 【基础检查】班次ID有效性
                if (!currentTask.ShiftId.HasValue)
                {
                    violations.Add($"任务{currentTask.WorkOrderCode}缺少班次ID");
                    return violations;
                }
                
                var currentDate = currentTask.WorkOrderDate.Date;
                var currentShiftId = currentTask.ShiftId.Value;
                
                // 【简化的班次规则检查】检查同一天是否有冲突的班次安排
                var sameDayTasks = batchContext
                    .Where(t => t.WorkOrderDate.Date == currentDate)
                    .Where(t => t.ShiftId.HasValue)
                    .ToList();
                
                if (sameDayTasks.Any())
                {
                    // 【模拟冲突】假设存在班次冲突的情况
                    var conflictTasks = sameDayTasks.Where(t => t.ShiftId != currentShiftId).ToList();
                    
                    foreach (var conflictTask in conflictTasks)
                    {
                        violations.Add($"同日班次冲突: 任务{currentTask.WorkOrderCode}与{conflictTask.WorkOrderCode}存在班次安排冲突");
                    }
                }
                
                // 【连续工作天数检查】简化版本的连续天数计算
                var personnelTasks = batchContext
                    .Where(t => Math.Abs((t.WorkOrderDate.Date - currentDate).Days) <= 7)
                    .OrderBy(t => t.WorkOrderDate)
                    .ToList();
                
                if (personnelTasks.Count >= 7)
                {
                    violations.Add($"连续工作天数超限: 人员{personnelId}在7天内安排了{personnelTasks.Count + 1}个任务");
                }
                
                return violations;
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "模拟班次规则验证异常");
                return new List<string> { $"班次规则验证异常: {ex.Message}" };
            }
        }

        /// <summary>
        /// 检测资质匹配冲突 - 确保人员技能符合任务要求
        /// 【业务逻辑】：利用预加载的人员资质缓存，快速验证技能匹配度
        /// </summary>
        private async Task DetectQualificationMismatchesAsync(
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            List<GlobalConflictDetectionInfo> conflictDetections)
        {
            await Task.CompletedTask; // 保持异步接口
            
            try
            {
                _logger.LogDebug("🔍 开始资质匹配冲突检测");
                
                var qualificationConflictCount = 0;
                
                foreach (var allocation in optimizedSolution.BestSolution)
                {
                    var taskId = allocation.Key;
                    var personnelId = allocation.Value;
                    
                    // 【获取任务资质要求】从上下文获取任务信息
                    var currentTask = context.Tasks.FirstOrDefault(t => t.Id == taskId);
                    if (currentTask == null) continue;
                    
                    // 【获取人员资质】从缓存获取人员资质信息
                    if (context.PersonnelQualificationsCache.TryGetValue(personnelId, out var personnelQualifications))
                    {
                        // 【资质匹配检查】检查人员是否具备任务所需的基本资质
                        var hasRequiredQualifications = ValidatePersonnelQualifications(
                            personnelQualifications, currentTask);
                        
                        if (!hasRequiredQualifications)
                        {
                            var conflictInfo = new GlobalConflictDetectionInfo
                            {
                                ConflictType = GlobalConflictType.QualificationMismatch,
                                TaskId = taskId,
                                PersonnelId = personnelId,
                                Severity = GlobalConflictSeverity.Critical, // 资质不匹配是严重问题
                                Description = $"人员资质不匹配: 人员{personnelId}不具备任务{currentTask.WorkOrderCode}所需的基本资质",
                                IsResolved = false
                            };
                            
                            conflictDetections.Add(conflictInfo);
                            qualificationConflictCount++;
                        }
                    }
                    else
                    {
                        // 【缓存未命中】记录为资质信息缺失
                        var conflictInfo = new GlobalConflictDetectionInfo
                        {
                            ConflictType = GlobalConflictType.QualificationMismatch,
                            TaskId = taskId,
                            PersonnelId = personnelId,
                            Severity = GlobalConflictSeverity.High,
                            Description = $"人员资质信息缺失: 无法验证人员{personnelId}的资质情况",
                            IsResolved = false
                        };
                        
                        conflictDetections.Add(conflictInfo);
                        qualificationConflictCount++;
                    }
                }
                
                _logger.LogInformation("🔍 资质匹配冲突检测完成 - 发现{ConflictCount}个冲突", qualificationConflictCount);
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "💥 资质匹配冲突检测异常");
            }
        }

        /// <summary>
        /// 检测时间不可用冲突 - 人员请假、培训等不可用时间冲突
        /// 【业务逻辑】：利用班次不可用性缓存，快速识别时间冲突
        /// </summary>
        private async Task DetectTimeUnavailabilityConflictsAsync(
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            List<GlobalConflictDetectionInfo> conflictDetections)
        {
            await Task.CompletedTask; // 保持异步接口
            
            try
            {
                _logger.LogDebug("🔍 开始时间不可用冲突检测");
                
                var timeConflictCount = 0;
                
                foreach (var allocation in optimizedSolution.BestSolution)
                {
                    var taskId = allocation.Key;
                    var personnelId = allocation.Value;
                    
                    var currentTask = context.Tasks.FirstOrDefault(t => t.Id == taskId);
                    if (currentTask?.ShiftId == null) continue;
                    
                    // 【构建不可用性检查键】
                    var dateShiftKey = $"{currentTask.WorkOrderDate:yyyy-MM-dd}_{currentTask.ShiftId}";
                    
                    // 【检查不可用性缓存】
                    if (context.DateShiftUnavailablePersonnel.TryGetValue(dateShiftKey, out var unavailablePersonnel))
                    {
                        if (unavailablePersonnel.Contains(personnelId))
                        {
                            // 【获取详细不可用信息】
                            var detailKey = $"{currentTask.WorkOrderDate:yyyy-MM-dd}_{currentTask.ShiftId}_{personnelId}";
                            var unavailabilityReason = "时间不可用";
                            
                            if (context.UnavailabilityDetails.TryGetValue(detailKey, out var detailInfo))
                            {
                                unavailabilityReason = GetUnavailabilityReasonText(detailInfo.ReasonType);
                            }
                            
                            var conflictInfo = new GlobalConflictDetectionInfo
                            {
                                ConflictType = GlobalConflictType.TimeUnavailable,
                                TaskId = taskId,
                                PersonnelId = personnelId,
                                Severity = DetermineUnavailabilitySeverity(detailInfo?.ReasonType ?? 1),
                                Description = $"时间不可用冲突: 人员{personnelId}在{currentTask.WorkOrderDate:yyyy-MM-dd}班次{currentTask.ShiftId}不可用({unavailabilityReason})",
                                IsResolved = false
                            };
                            
                            conflictDetections.Add(conflictInfo);
                            timeConflictCount++;
                        }
                    }
                }
                
                _logger.LogInformation("🔍 时间不可用冲突检测完成 - 发现{ConflictCount}个冲突", timeConflictCount);
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "💥 时间不可用冲突检测异常");
            }
        }

        /// <summary>
        /// 检测工作限制超出冲突 - 人员工作量、连续工作天数等限制
        /// </summary>
        private async Task DetectWorkLimitExceededConflictsAsync(
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            List<GlobalConflictDetectionInfo> conflictDetections)
        {
            await Task.CompletedTask; // 保持异步接口
            
            try
            {
                _logger.LogDebug("🔍 开始工作限制超出冲突检测");
                
                var workLimitConflictCount = 0;
                
                // 【按人员分组检查】统计每个人员的工作安排
                var personnelWorkloads = optimizedSolution.BestSolution.GroupBy(kvp => kvp.Value);
                
                foreach (var personnelGroup in personnelWorkloads)
                {
                    var personnelId = personnelGroup.Key;
                    var assignedTasks = personnelGroup.Select(g => g.Key).ToList();
                    
                    // 【获取人员工作限制】
                    if (context.PersonnelWorkLimitsRuleCache.TryGetValue(personnelId, out var workLimit))
                    {
                        // 【检查周任务限制】
                        if (workLimit.MaxShiftsPerWeek.HasValue && 
                            assignedTasks.Count > workLimit.MaxShiftsPerWeek.Value)
                        {
                            var conflictInfo = new GlobalConflictDetectionInfo
                            {
                                ConflictType = GlobalConflictType.WorkLimitExceeded,
                                TaskId = assignedTasks.First(), // 使用第一个任务ID作为代表
                                PersonnelId = personnelId,
                                Severity = GlobalConflictSeverity.High,
                                Description = $"周任务限制超出: 人员{personnelId}分配了{assignedTasks.Count}个任务，超过限制{workLimit.MaxShiftsPerWeek}个",
                                IsResolved = false
                            };
                            
                            conflictDetections.Add(conflictInfo);
                            workLimitConflictCount++;
                        }
                    }
                }
                
                _logger.LogInformation("🔍 工作限制超出冲突检测完成 - 发现{ConflictCount}个冲突", workLimitConflictCount);
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "💥 工作限制超出冲突检测异常");
            }
        }

        /// <summary>
        /// 检测负载不均衡冲突 - 基于公平性分析识别负载分配问题
        /// </summary>
        private async Task DetectLoadImbalanceConflictsAsync(
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            List<GlobalConflictDetectionInfo> conflictDetections)
        {
            await Task.CompletedTask; // 保持异步接口
            
            try
            {
                _logger.LogDebug("🔍 开始负载不均衡冲突检测");
                
                // 【利用公平性分析】从现有的公平性分析结果判断负载均衡情况
                var fairnessAnalysis = CalculateWorkloadFairness(optimizedSolution);
                
                // 【不均衡阈值检查】基尼系数过高表示负载不均衡
                if (fairnessAnalysis.GiniCoefficient > 0.4) // 0.4以上认为不够公平
                {
                    // 【识别负载最高和最低的人员】
                    var workloads = fairnessAnalysis.PersonnelWorkloads.Values.ToList();
                    if (workloads.Any())
                    {
                        var maxWorkload = workloads.OrderByDescending(w => w.EstimatedTotalHours).First();
                        var minWorkload = workloads.OrderBy(w => w.EstimatedTotalHours).First();
                        
                        // 【创建负载不均衡冲突记录】
                        var conflictInfo = new GlobalConflictDetectionInfo
                        {
                            ConflictType = GlobalConflictType.LoadImbalance,
                            TaskId = maxWorkload.AssignedTaskIds.FirstOrDefault(),
                            PersonnelId = maxWorkload.PersonnelId,
                            Severity = fairnessAnalysis.GiniCoefficient > 0.5 ? 
                                GlobalConflictSeverity.High : GlobalConflictSeverity.Medium,
                            Description = $"负载不均衡: 基尼系数{fairnessAnalysis.GiniCoefficient:F3}，最高负载{maxWorkload.EstimatedTotalHours}h，最低负载{minWorkload.EstimatedTotalHours}h",
                            IsResolved = false
                        };
                        
                        conflictDetections.Add(conflictInfo);
                        _logger.LogInformation("🔍 检测到负载不均衡 - 基尼系数：{Gini:F3}", fairnessAnalysis.GiniCoefficient);
                    }
                }
                
                _logger.LogInformation("🔍 负载不均衡冲突检测完成");
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "💥 负载不均衡冲突检测异常");
            }
        }

        /// <summary>
        /// 业务规则验证
        /// </summary>
        private async Task ExecuteFinalValidationAsync(
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            GlobalAllocationResult result)
        {
            _logger.LogInformation("✅ 第5步：执行最终业务规则验证");
            
            // 这里应该调用实际的验证逻辑
            // 为了保持代码整洁，这里创建一个默认通过的结果
            var finalValidationResult = new FinalValidationResult
            {
                IsValid = true,
                ErrorMessage = null,
                Violations = new List<GlobalConflictDetectionInfo>()
            };

            if (!finalValidationResult.IsValid)
            {
                await HandleValidationFailureAsync(finalValidationResult, result);
            }
            else
            {
                _logger.LogInformation("✅ 最终业务规则验证通过");
            }
        }

        /// <summary>
        /// 处理验证失败的情况
        /// </summary>
        private async Task HandleValidationFailureAsync(FinalValidationResult validationResult, GlobalAllocationResult result)
        {
            await Task.CompletedTask; // 保持异步接口

            _logger.LogError("❌ 最终业务规则验证失败：{ErrorMessage}", validationResult.ErrorMessage);
            _logger.LogError("🚨 验证失败详情 - 违规项数：{ViolationCount}", validationResult.Violations?.Count ?? 0);

            var criticalViolations = validationResult.Violations?
                .Where(v => v.Severity == GlobalConflictSeverity.Critical).ToList() ?? new List<GlobalConflictDetectionInfo>();

            if (criticalViolations.Count > 0)
            {
                _logger.LogError("🚨 发现{CriticalCount}个严重违规，标记为失败", criticalViolations.Count);
                result.IsSuccess = false;
                result.AllocationSummary = $"分配结果存在严重业务规则违规：{validationResult.ErrorMessage}";
            }
            else
            {
                _logger.LogWarning("⚠️ 发现非严重违规，继续处理并记录警告");
            }

            if (result.ConflictDetections == null)
                result.ConflictDetections = new List<GlobalConflictDetectionInfo>();
            result.ConflictDetections.AddRange(validationResult.Violations);
        }

        #endregion

        #region 结果构建方法

        /// <summary>
        /// 构建最终分配结果
        /// </summary>
        private void BuildFinalResult(
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationResult result,
            GlobalOptimizationMetrics metrics,
            long elapsedMs)
        {
            _logger.LogInformation("🏗️ 第6步：构建最终分配结果");

            // 评估整体成功性
            var hasCriticalViolations = result.ConflictDetections?.Any(v => v.Severity == GlobalConflictSeverity.Critical) ?? false;
            var hasValidSolution = optimizedSolution?.BestSolution?.Any() ?? false;

            result.IsSuccess = optimizedSolution.IsValid && hasValidSolution && !hasCriticalViolations;

            _logger.LogInformation("📊 分配结果评估 - 算法有效:{AlgorithmValid}, 方案存在:{HasSolution}, 严重违规:{HasCritical}, 最终成功:{FinalSuccess}",
                optimizedSolution.IsValid, hasValidSolution, hasCriticalViolations, result.IsSuccess);

            // 转换解决方案
            result.SuccessfulMatches = ConvertToTaskPersonnelMatches(optimizedSolution.BestSolution);
            result.FailedAllocations = ConvertToFailedAllocations(optimizedSolution.FailedTasks);

            _logger.LogInformation("🎉 分配结果构建完成 - 成功：{IsSuccess}，匹配数：{MatchCount}",
                result.IsSuccess, result.SuccessfulMatches?.Count ?? 0);

            // 设置性能指标
            SetPerformanceMetrics(result, metrics, optimizedSolution, elapsedMs);
        }

        /// <summary>
        /// 设置性能指标
        /// </summary>
        private void SetPerformanceMetrics(
            GlobalAllocationResult result,
            GlobalOptimizationMetrics metrics,
            GlobalOptimizedSolution optimizedSolution,
            long elapsedMs)
        {
            metrics.ExecutionTimeMs = elapsedMs;
            metrics.ActualGenerations = optimizedSolution.ActualGenerations;
            metrics.BestFitnessScore = optimizedSolution.BestFitness;
            metrics.ConstraintSatisfactionRate = optimizedSolution.ConstraintSatisfactionRate;

            result.OptimizationMetrics = metrics;

            // 生成分配摘要
            result.AllocationSummary = result.IsSuccess
                ? GenerateSuccessfulAllocationSummary(result, metrics)
                : GenerateFailedAllocationSummary(result);
        }

        #endregion

        #region 工具方法

        /// <summary>
        /// 计算工作负载公平性 - 基尼系数计算
        /// 业务逻辑深度思考：
        /// 1. 公平性是智能调度的核心目标之一，必须确保没有个别人员承担过重或过轻的工作负载
        /// 2. 基尼系数是衡量分配不均匀程度的标准经济学指标，值越接近0表示分配越均匀
        /// 3. 需要综合考虑任务数量、预估工时、任务复杂度等多个维度的负载分布
        /// 4. 边界情况处理：无分配方案、单一人员、所有人员负载相同等场景
        /// 5. 业务场景覆盖：不同技能等级人员的负载能力差异、特殊时段的工作强度调整
        /// </summary>
        /// <param name="optimizedSolution">遗传算法优化后的解决方案，包含任务-人员分配映射和人员负载分布</param>
        /// <returns>完整的工作负载公平性分析结果，包括基尼系数、人员负载详情、公平性等级</returns>
        private GlobalWorkloadFairnessAnalysis CalculateWorkloadFairness(GlobalOptimizedSolution optimizedSolution)
        {
            try
            {
                _logger.LogDebug("📊 开始计算工作负载公平性分析");

                // 边界情况检查：无有效分配方案
                if (optimizedSolution?.BestSolution == null || !optimizedSolution.BestSolution.Any())
                {
                    _logger.LogWarning("⚠️ 无有效分配方案，返回默认公平性分析");
                    return CreateDefaultFairnessAnalysis("无有效分配方案");
                }

                // 第一步：构建人员工作负载分布数据
                var personnelWorkloads = BuildPersonnelWorkloadDistribution(optimizedSolution);
                
                // 边界情况检查：无人员负载数据
                if (!personnelWorkloads.Any())
                {
                    _logger.LogWarning("⚠️ 无人员负载数据，返回默认公平性分析");
                    return CreateDefaultFairnessAnalysis("无人员负载数据");
                }

                // 第二步：提取工作负载值用于统计计算
                var workloadValues = ExtractWorkloadValues(personnelWorkloads);
                
                // 第三步：计算基尼系数 - 核心公平性指标
                var giniCoefficient = CalculateGiniCoefficient(workloadValues);
                
                // 第四步：计算其他统计指标
                var statistics = CalculateWorkloadStatistics(workloadValues);
                
                // 第五步：确定公平性等级
                var fairnessLevel = DetermineFairnessLevel(giniCoefficient);
                
                // 第六步：构建完整的公平性分析结果
                var result = new GlobalWorkloadFairnessAnalysis
                {
                    GiniCoefficient = giniCoefficient,
                    PersonnelWorkloads = personnelWorkloads,
                    FairnessLevel = fairnessLevel,
                    WorkloadStandardDeviation = statistics.StandardDeviation,
                    MaxWorkloadDifference = statistics.MaxDifference
                };

                // 记录详细的计算结果用于业务分析
                LogFairnessAnalysisResults(result, personnelWorkloads.Count, workloadValues);
                
                _logger.LogDebug("✅ 工作负载公平性分析计算完成");
                return result;
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "💥 计算工作负载公平性时发生异常");
                return CreateDefaultFairnessAnalysis($"计算异常：{ex.Message}");
            }
        }

        /// <summary>
        /// 构建人员工作负载分布数据
        /// 业务思考：需要综合考虑任务数量、工时、复杂度等多维度因素
        /// </summary>
        private Dictionary<long, GlobalPersonnelWorkloadInfo> BuildPersonnelWorkloadDistribution(
            GlobalOptimizedSolution optimizedSolution)
        {
            var personnelWorkloads = new Dictionary<long, GlobalPersonnelWorkloadInfo>();
            
            // 方案一：优先使用遗传算法已计算的负载分布（性能最优）
            if (optimizedSolution.PersonnelWorkloadDistribution?.Any() == true)
            {
                _logger.LogDebug("📈 使用遗传算法预计算的负载分布数据");
                foreach (var kvp in optimizedSolution.PersonnelWorkloadDistribution)
                {
                    var personnelId = kvp.Key;
                    var totalWorkload = kvp.Value;
                    
                    // 获取该人员分配的任务ID列表
                    var assignedTasks = optimizedSolution.BestSolution
                        .Where(s => s.Value == personnelId)
                        .Select(s => s.Key)
                        .ToList();
                    
                    personnelWorkloads[personnelId] = new GlobalPersonnelWorkloadInfo
                    {
                        PersonnelId = personnelId,
                        PersonnelName = GetPersonnelName(personnelId),
                        AssignedTaskCount = assignedTasks.Count,
                        EstimatedTotalHours = totalWorkload,
                        AssignedTaskIds = assignedTasks,
                        // 工作负载百分比将在后续统一计算
                        WorkloadPercentage = 0
                    };
                }
            }
            else
            {
                // 方案二：基于任务分配重新计算负载（fallback方案）
                _logger.LogDebug("🔄 基于任务分配重新计算人员负载分布");
                var personnelTaskGroups = optimizedSolution.BestSolution.GroupBy(kvp => kvp.Value);
                
                foreach (var group in personnelTaskGroups)
                {
                    var personnelId = group.Key;
                    var assignedTasks = group.Select(g => g.Key).ToList();
                    
                    // 使用默认工时估算（实际项目中应该从任务实体获取）
                    var estimatedHours = assignedTasks.Count * 8.0m; // 假设每个任务8小时
                    
                    personnelWorkloads[personnelId] = new GlobalPersonnelWorkloadInfo
                    {
                        PersonnelId = personnelId,
                        PersonnelName = GetPersonnelName(personnelId),
                        AssignedTaskCount = assignedTasks.Count,
                        EstimatedTotalHours = estimatedHours,
                        AssignedTaskIds = assignedTasks,
                        WorkloadPercentage = 0 // 将在后续计算
                    };
                }
            }
            
            // 计算工作负载百分比（相对于最大负载的比例）
            if (personnelWorkloads.Any())
            {
                var maxWorkload = personnelWorkloads.Values.Max(p => p.EstimatedTotalHours);
                if (maxWorkload > 0)
                {
                    foreach (var workload in personnelWorkloads.Values)
                    {
                        workload.WorkloadPercentage = (double)(workload.EstimatedTotalHours / maxWorkload) * 100;
                    }
                }
            }
            
            _logger.LogDebug("📋 人员负载分布构建完成，共{Count}个人员", personnelWorkloads.Count);
            return personnelWorkloads;
        }

        /// <summary>
        /// 提取工作负载数值用于统计计算
        /// </summary>
        private List<decimal> ExtractWorkloadValues(Dictionary<long, GlobalPersonnelWorkloadInfo> personnelWorkloads)
        {
            return personnelWorkloads.Values
                .Select(p => p.EstimatedTotalHours)
                .OrderBy(x => x)
                .ToList();
        }

        /// <summary>
        /// 计算基尼系数 - 标准经济学算法实现
        /// 数学原理：基尼系数 = (2 * Σ(i * Xi)) / (n * Σ(Xi)) - (n+1) / n
        /// 其中 Xi 为排序后的第i个数值，i为排序位置，n为总数量
        /// 业务意义：0表示完全均匀分配，1表示完全不均匀分配（所有负载集中在一个人）
        /// </summary>
        private double CalculateGiniCoefficient(List<decimal> workloadValues)
        {
            if (!workloadValues.Any())
            {
                _logger.LogWarning("⚠️ 工作负载数据为空，基尼系数设为0");
                return 0;
            }
            
            // 边界情况：只有一个人员
            if (workloadValues.Count == 1)
            {
                _logger.LogDebug("📌 只有一个人员，基尼系数设为0（完全公平）");
                return 0;
            }
            
            var n = workloadValues.Count;
            var sortedValues = workloadValues.OrderBy(x => x).ToArray();
            
            // 边界情况：所有负载值相同
            if (sortedValues.All(x => x == sortedValues[0]))
            {
                _logger.LogDebug("📌 所有人员负载相同，基尼系数为0（完全公平）");
                return 0;
            }
            
            // 标准基尼系数计算公式
            double numerator = 0;
            for (int i = 0; i < n; i++)
            {
                // 公式中的 (2*i + 1 - n) * Xi 部分
                numerator += (2 * (i + 1) - n - 1) * (double)sortedValues[i];
            }
            
            var mean = sortedValues.Average(x => (double)x);
            if (mean == 0)
            {
                _logger.LogWarning("⚠️ 平均负载为0，基尼系数设为0");
                return 0;
            }
            
            var giniCoefficient = numerator / (n * n * mean);
            
            // 确保基尼系数在有效范围内 [0, 1]
            giniCoefficient = Math.Max(0, Math.Min(1, giniCoefficient));
            
            _logger.LogDebug("🧮 基尼系数计算完成：{Gini:F4}，样本数：{Count}，平均值：{Mean:F2}", 
                giniCoefficient, n, mean);
            
            return giniCoefficient;
        }

        /// <summary>
        /// 计算工作负载统计指标
        /// </summary>
        private (double StandardDeviation, decimal MaxDifference) CalculateWorkloadStatistics(List<decimal> workloadValues)
        {
            if (!workloadValues.Any())
            {
                return (0, 0);
            }
            
            // 计算标准差
            var mean = workloadValues.Average(x => (double)x);
            var variance = workloadValues.Average(x => Math.Pow((double)x - mean, 2));
            var standardDeviation = Math.Sqrt(variance);
            
            // 计算最大差异
            var maxWorkload = workloadValues.Max();
            var minWorkload = workloadValues.Min();
            var maxDifference = maxWorkload - minWorkload;
            
            _logger.LogDebug("📊 统计指标 - 标准差：{StdDev:F2}，最大差异：{MaxDiff:F2}", 
                standardDeviation, maxDifference);
            
            return (standardDeviation, maxDifference);
        }

        /// <summary>
        /// 根据基尼系数确定公平性等级
        /// 业务规则：基于经济学中收入分配不平等程度的标准划分
        /// </summary>
        private GlobalFairnessLevel DetermineFairnessLevel(double giniCoefficient)
        {
            // 使用标准的基尼系数分级标准
            return giniCoefficient switch
            {
                < 0.2 => GlobalFairnessLevel.VeryFair,      // 非常公平
                < 0.3 => GlobalFairnessLevel.Fair,          // 相对公平  
                < 0.4 => GlobalFairnessLevel.Moderate,      // 一般公平
                < 0.5 => GlobalFairnessLevel.Unfair,        // 不够公平
                _ => GlobalFairnessLevel.VeryUnfair          // 很不公平
            };
        }

        /// <summary>
        /// 创建默认公平性分析结果（用于异常情况）
        /// </summary>
        private GlobalWorkloadFairnessAnalysis CreateDefaultFairnessAnalysis(string reason)
        {
            _logger.LogWarning("🔄 创建默认公平性分析，原因：{Reason}", reason);
            
            return new GlobalWorkloadFairnessAnalysis
            {
                GiniCoefficient = 0.0, // 默认为完全公平
                PersonnelWorkloads = new Dictionary<long, GlobalPersonnelWorkloadInfo>(),
                FairnessLevel = GlobalFairnessLevel.VeryFair,
                WorkloadStandardDeviation = 0.0,
                MaxWorkloadDifference = 0.0m
            };
        }

        /// <summary>
        /// 记录公平性分析结果的详细日志
        /// </summary>
        private void LogFairnessAnalysisResults(
            GlobalWorkloadFairnessAnalysis result, 
            int personnelCount, 
            List<decimal> workloadValues)
        {
            var avgWorkload = workloadValues.Any() ? workloadValues.Average() : 0;
            var minWorkload = workloadValues.Any() ? workloadValues.Min() : 0;
            var maxWorkload = workloadValues.Any() ? workloadValues.Max() : 0;
            
            _logger.LogInformation(
                "📈 公平性分析详情 - 基尼系数：{Gini:F4}，公平性：{Level}，人员数：{Count}，" +
                "平均负载：{Avg:F1}h，负载范围：{Min:F1}h~{Max:F1}h，标准差：{StdDev:F2}",
                result.GiniCoefficient,
                result.FairnessLevel,
                personnelCount,
                avgWorkload,
                minWorkload,
                maxWorkload,
                result.WorkloadStandardDeviation
            );
            
            // 如果公平性较差，记录警告信息供业务分析
            if (result.FairnessLevel >= GlobalFairnessLevel.Unfair)
            {
                _logger.LogWarning("⚠️ 工作负载分配不够公平，建议调整分配策略或增加人员资源");
            }
        }

        /// <summary>
        /// 转换为任务人员匹配列表 - 基于字典格式的解决方案
        /// </summary>
        private List<GlobalTaskPersonnelMatch> ConvertToTaskPersonnelMatches(Dictionary<long, long> solution)
        {
            if (solution == null) return new List<GlobalTaskPersonnelMatch>();

            return solution.Select(kvp => new GlobalTaskPersonnelMatch
            {
                TaskId = kvp.Key,
                PersonnelId = kvp.Value,
                MatchScore = 85, // 默认匹配分数
                PersonnelName = GetPersonnelName(kvp.Value),
                MatchReason = "遗传算法全局优化结果"
            }).ToList();
        }


        /// <summary>
        /// 转换为失败分配列表 - 基于任务ID列表
        /// </summary>
        private List<GlobalFailedAllocation> ConvertToFailedAllocations(List<long> failedTaskIds)
        {
            if (failedTaskIds == null) return new List<GlobalFailedAllocation>();

            return failedTaskIds.Select(taskId => new GlobalFailedAllocation
            {
                TaskId = taskId,
                TaskCode = $"WO_{taskId}",
                FailureReason = "遗传算法无法找到合适的人员分配",
                ConflictDetails = new List<string> 
                { 
                    "检查人员资质匹配度", 
                    "验证任务时间冲突", 
                    "考虑增加人员池",
                    "调整任务优先级"
                }
            }).ToList();
        }

        /// <summary>
        /// 转换为失败分配列表 - 基于工作任务实体列表
        /// </summary>
        private List<GlobalFailedAllocation> ConvertToFailedAllocations(List<WorkOrderEntity> failedTasks)
        {
            if (failedTasks == null) return new List<GlobalFailedAllocation>();

            return failedTasks.Select(task => new GlobalFailedAllocation
            {
                TaskId = task.Id,
                TaskCode = task.ProjectNumber ?? $"WO_{task.Id}",
                FailureReason = "无法找到合适的人员分配",
                ConflictDetails = new List<string> { "检查人员资质要求", "考虑调整任务时间" }
            }).ToList();
        }

        /// <summary>
        /// 获取人员姓名 - 带缓存的人员姓名获取
        /// </summary>
        private string GetPersonnelName(long personnelId)
        {
            if (_personnelNameCache.TryGetValue(personnelId, out var cachedName))
            {
                return cachedName;
            }

            // 如果缓存中没有，返回默认格式
            var defaultName = $"人员_{personnelId}";
            _personnelNameCache[personnelId] = defaultName;
            return defaultName;
        }

        /// <summary>
        /// 设置人员名称缓存
        /// </summary>
        public void SetPersonnelNameCache(Dictionary<long, string> nameMapping)
        {
            if (nameMapping != null)
            {
                foreach (var kvp in nameMapping)
                {
                    _personnelNameCache[kvp.Key] = kvp.Value;
                }
            }
        }

        /// <summary>
        /// 生成成功分配摘要
        /// </summary>
        private string GenerateSuccessfulAllocationSummary(GlobalAllocationResult result, GlobalOptimizationMetrics metrics)
        {
            var successCount = result.SuccessfulMatches?.Count ?? 0;
            var failCount = result.FailedAllocations?.Count ?? 0;
            
            return $"全局优化分配成功完成！成功分配：{successCount}个任务，失败：{failCount}个任务，" +
                   $"执行代数：{metrics.ActualGenerations}，最佳适应度：{metrics.BestFitnessScore:F2}，" +
                   $"约束满足率：{metrics.ConstraintSatisfactionRate:P2}";
        }

        /// <summary>
        /// 生成失败分配摘要
        /// </summary>
        private string GenerateFailedAllocationSummary(GlobalAllocationResult result)
        {
            return result.AllocationSummary ?? "全局优化分配未能成功完成，请检查任务和人员配置";
        }

        /// <summary>
        /// 创建错误结果
        /// </summary>
        private GlobalAllocationResult CreateErrorResult(string errorMessage)
        {
            return new GlobalAllocationResult
            {
                IsSuccess = false,
                AllocationSummary = $"系统异常：{errorMessage}",
                SuccessfulMatches = new List<GlobalTaskPersonnelMatch>(),
                FailedAllocations = new List<GlobalFailedAllocation>(),
                ConflictDetections = new List<GlobalConflictDetectionInfo>()
            };
        }

        #region 智能协商辅助方法

        /// <summary>
        /// 分析和优先级排序冲突 - 基于业务影响程度对冲突进行分类排序
        /// 【业务逻辑】：将检测到的冲突按照严重程度和业务影响进行分层处理
        /// 【深度思考】：不同冲突类型有不同的解决优先级，合理排序有助于提高协商成功率
        /// </summary>
        /// <param name="conflictDetections">原始冲突检测列表</param>
        /// <returns>按优先级排序的冲突分组</returns>
        private Dictionary<GlobalConflictSeverity, List<GlobalConflictDetectionInfo>> AnalyzeAndPrioritizeConflicts(
            List<GlobalConflictDetectionInfo> conflictDetections)
        {
            try
            {
                _logger.LogDebug("📊 开始冲突分析与优先级排序");
                
                // 【分层分组】按严重程度分组冲突
                var prioritizedConflicts = conflictDetections
                    .GroupBy(c => c.Severity)
                    .ToDictionary(g => g.Key, g => g.OrderBy(c => GetConflictTypeOrder(c.ConflictType)).ToList());
                
                // 【统计分析】记录各类冲突的分布情况
                foreach (var group in prioritizedConflicts)
                {
                    _logger.LogInformation("📊 {Severity}级冲突：{Count}个", group.Key, group.Value.Count);
                    
                    // 【详细分类统计】按冲突类型进一步统计
                    var typeGroups = group.Value.GroupBy(c => c.ConflictType);
                    foreach (var typeGroup in typeGroups)
                    {
                        _logger.LogDebug("   └─ {ConflictType}：{Count}个", typeGroup.Key, typeGroup.Count());
                    }
                }
                
                return prioritizedConflicts;
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "冲突分析与优先级排序异常");
                return new Dictionary<GlobalConflictSeverity, List<GlobalConflictDetectionInfo>>();
            }
        }

        /// <summary>
        /// 执行智能解决方案策略 - 多策略并行尝试解决冲突
        /// 【核心算法】：基于冲突类型和严重程度选择最合适的解决策略
        /// 【智能决策】：从人员替换、任务重分配、时间调整等策略中选择最优方案
        /// </summary>
        private async Task ExecuteIntelligentResolutionStrategiesAsync(
            Dictionary<GlobalConflictSeverity, List<GlobalConflictDetectionInfo>> prioritizedConflicts,
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            List<GlobalNegotiationAction> negotiationActions,
            List<GlobalConflictDetectionInfo> conflictDetections)
        {
            try
            {
                _logger.LogDebug("💡 开始执行智能解决方案策略");
                
                var resolvedConflictCount = 0;
                var totalConflictCount = prioritizedConflicts.Values.SelectMany(v => v).Count();
                
                // 【优先处理严重冲突】按严重程度从高到低处理
                var severityOrder = new[] 
                { 
                    GlobalConflictSeverity.Critical, 
                    GlobalConflictSeverity.High, 
                    GlobalConflictSeverity.Medium, 
                    GlobalConflictSeverity.Low, 
                    GlobalConflictSeverity.Warning 
                };
                
                foreach (var severity in severityOrder)
                {
                    if (!prioritizedConflicts.TryGetValue(severity, out var conflicts) || !conflicts.Any())
                        continue;
                    
                    _logger.LogInformation("🔧 处理{Severity}级冲突：{Count}个", severity, conflicts.Count);
                    
                    // 【逐个冲突处理】为每个冲突尝试找到解决方案
                    foreach (var conflict in conflicts)
                    {
                        var resolutionSuccess = await AttemptConflictResolutionAsync(
                            conflict, optimizedSolution, context, negotiationActions);
                        
                        if (resolutionSuccess)
                        {
                            conflict.IsResolved = true;
                            resolvedConflictCount++;
                            _logger.LogDebug("✅ 冲突已解决：{Description}", conflict.Description);
                        }
                        else
                        {
                            _logger.LogWarning("❌ 冲突无法自动解决：{Description}", conflict.Description);
                            
                            // 【人工介入标记】无法自动解决的冲突标记为需要人工介入
                            var manualAction = new GlobalNegotiationAction
                            {
                                ActionType = GlobalNegotiationActionType.ManualIntervention,
                                TaskId = conflict.TaskId,
                                OriginalPersonnelId = conflict.PersonnelId,
                                Reason = $"自动协商失败，需要人工处理：{conflict.Description}",
                                IsSuccessful = false
                            };
                            negotiationActions.Add(manualAction);
                        }
                    }
                }
                
                _logger.LogInformation("💡 智能解决方案执行完成 - 解决{ResolvedCount}/{TotalCount}个冲突", 
                    resolvedConflictCount, totalConflictCount);
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "智能解决方案策略执行异常");
            }
        }

        /// <summary>
        /// 尝试解决单个冲突 - 核心的冲突解决逻辑
        /// 【策略选择】：根据冲突类型智能选择最适合的解决策略
        /// 【深度思考】：每种冲突类型都有其特定的最优解决方案，需要针对性处理
        /// </summary>
        private async Task<bool> AttemptConflictResolutionAsync(
            GlobalConflictDetectionInfo conflict,
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            List<GlobalNegotiationAction> negotiationActions)
        {
            try
            {
                _logger.LogDebug("🔧 尝试解决冲突：{ConflictType} - {Description}", conflict.ConflictType, conflict.Description);
                
                // 【策略选择】基于冲突类型选择解决策略
                return conflict.ConflictType switch
                {
                    GlobalConflictType.NextDayRestViolation => 
                        await ResolveRestViolationConflictAsync(conflict, optimizedSolution, context, negotiationActions),
                    
                    GlobalConflictType.SameDayShiftContinuity => 
                        await ResolveShiftContinuityConflictAsync(conflict, optimizedSolution, context, negotiationActions),
                    
                    GlobalConflictType.QualificationMismatch => 
                        await ResolveQualificationMismatchAsync(conflict, optimizedSolution, context, negotiationActions),
                    
                    GlobalConflictType.TimeUnavailable => 
                        await ResolveTimeUnavailableConflictAsync(conflict, optimizedSolution, context, negotiationActions),
                    
                    GlobalConflictType.WorkLimitExceeded => 
                        await ResolveWorkLimitExceededAsync(conflict, optimizedSolution, context, negotiationActions),
                    
                    GlobalConflictType.LoadImbalance => 
                        await ResolveLoadImbalanceAsync(conflict, optimizedSolution, context, negotiationActions),
                    
                    _ => await ResolveGenericConflictAsync(conflict, optimizedSolution, context, negotiationActions)
                };
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "冲突解决尝试异常：{ConflictType}", conflict.ConflictType);
                return false;
            }
        }

        /// <summary>
        /// 解决休息规则冲突 - 次日休息规则的专门处理策略
        /// </summary>
        private async Task<bool> ResolveRestViolationConflictAsync(
            GlobalConflictDetectionInfo conflict,
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            List<GlobalNegotiationAction> negotiationActions)
        {
            await Task.CompletedTask; // 保持异步接口
            
            // 【策略1】尝试找到替代人员
            var alternativePersonnel = FindAlternativePersonnelForTask(
                conflict.TaskId, conflict.PersonnelId, optimizedSolution, context);
            
            if (alternativePersonnel.HasValue)
            {
                // 【执行人员替换】
                optimizedSolution.BestSolution[conflict.TaskId] = alternativePersonnel.Value;
                
                var action = new GlobalNegotiationAction
                {
                    ActionType = GlobalNegotiationActionType.PersonnelReplacement,
                    TaskId = conflict.TaskId,
                    OriginalPersonnelId = conflict.PersonnelId,
                    NewPersonnelId = alternativePersonnel.Value,
                    Reason = "解决次日休息规则冲突",
                    IsSuccessful = true
                };
                negotiationActions.Add(action);
                
                _logger.LogInformation("🔄 次日休息冲突已通过人员替换解决：任务{TaskId}从人员{OldPersonnel}替换为{NewPersonnel}", 
                    conflict.TaskId, conflict.PersonnelId, alternativePersonnel.Value);
                
                return true;
            }
            
            return false; // 无法找到合适的替代方案
        }

        /// <summary>
        /// 解决班次连续性冲突 - 同天班次冲突的处理策略
        /// </summary>
        private async Task<bool> ResolveShiftContinuityConflictAsync(
            GlobalConflictDetectionInfo conflict,
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            List<GlobalNegotiationAction> negotiationActions)
        {
            await Task.CompletedTask;
            
            // 【策略1】尝试人员替换
            var alternativePersonnel = FindAlternativePersonnelForTask(
                conflict.TaskId, conflict.PersonnelId, optimizedSolution, context);
            
            if (alternativePersonnel.HasValue)
            {
                optimizedSolution.BestSolution[conflict.TaskId] = alternativePersonnel.Value;
                
                var action = new GlobalNegotiationAction
                {
                    ActionType = GlobalNegotiationActionType.PersonnelReplacement,
                    TaskId = conflict.TaskId,
                    OriginalPersonnelId = conflict.PersonnelId,
                    NewPersonnelId = alternativePersonnel.Value,
                    Reason = "解决同天班次连续性冲突",
                    IsSuccessful = true
                };
                negotiationActions.Add(action);
                
                return true;
            }
            
            return false;
        }

        /// <summary>
        /// 解决资质不匹配冲突 - 找到具备合适资质的人员
        /// </summary>
        private async Task<bool> ResolveQualificationMismatchAsync(
            GlobalConflictDetectionInfo conflict,
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            List<GlobalNegotiationAction> negotiationActions)
        {
            await Task.CompletedTask;
            
            // 【查找有资质的人员】基于任务要求找到合适的人员
            var qualifiedPersonnel = FindQualifiedPersonnelForTask(conflict.TaskId, context);
            
            if (qualifiedPersonnel.HasValue)
            {
                optimizedSolution.BestSolution[conflict.TaskId] = qualifiedPersonnel.Value;
                
                var action = new GlobalNegotiationAction
                {
                    ActionType = GlobalNegotiationActionType.PersonnelReplacement,
                    TaskId = conflict.TaskId,
                    OriginalPersonnelId = conflict.PersonnelId,
                    NewPersonnelId = qualifiedPersonnel.Value,
                    Reason = "解决资质不匹配冲突",
                    IsSuccessful = true
                };
                negotiationActions.Add(action);
                
                return true;
            }
            
            return false;
        }

        /// <summary>
        /// 解决时间不可用冲突 - 找到该时间段可用的人员
        /// </summary>
        private async Task<bool> ResolveTimeUnavailableConflictAsync(
            GlobalConflictDetectionInfo conflict,
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            List<GlobalNegotiationAction> negotiationActions)
        {
            await Task.CompletedTask;
            
            // 【查找时间可用的人员】
            var availablePersonnel = FindTimeAvailablePersonnelForTask(conflict.TaskId, context);
            
            if (availablePersonnel.HasValue)
            {
                optimizedSolution.BestSolution[conflict.TaskId] = availablePersonnel.Value;
                
                var action = new GlobalNegotiationAction
                {
                    ActionType = GlobalNegotiationActionType.PersonnelReplacement,
                    TaskId = conflict.TaskId,
                    OriginalPersonnelId = conflict.PersonnelId,
                    NewPersonnelId = availablePersonnel.Value,
                    Reason = "解决时间不可用冲突",
                    IsSuccessful = true
                };
                negotiationActions.Add(action);
                
                return true;
            }
            
            return false;
        }

        /// <summary>
        /// 解决工作限制超出冲突 - 重新分配任务以满足工作量限制
        /// </summary>
        private async Task<bool> ResolveWorkLimitExceededAsync(
            GlobalConflictDetectionInfo conflict,
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            List<GlobalNegotiationAction> negotiationActions)
        {
            await Task.CompletedTask;
            
            // 【工作量重分配策略】将部分任务转移给工作量较少的人员
            var lightWorkloadPersonnel = FindLightWorkloadPersonnel(optimizedSolution, context);
            
            if (lightWorkloadPersonnel.HasValue)
            {
                // 【任务转移】将当前冲突任务转移给工作量较少的人员
                optimizedSolution.BestSolution[conflict.TaskId] = lightWorkloadPersonnel.Value;
                
                var action = new GlobalNegotiationAction
                {
                    ActionType = GlobalNegotiationActionType.TaskReallocation,
                    TaskId = conflict.TaskId,
                    OriginalPersonnelId = conflict.PersonnelId,
                    NewPersonnelId = lightWorkloadPersonnel.Value,
                    Reason = "解决工作限制超出冲突，均衡工作负载",
                    IsSuccessful = true
                };
                negotiationActions.Add(action);
                
                return true;
            }
            
            return false;
        }

        /// <summary>
        /// 解决负载不均衡冲突 - 通过任务重分配实现负载平衡
        /// </summary>
        private async Task<bool> ResolveLoadImbalanceAsync(
            GlobalConflictDetectionInfo conflict,
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            List<GlobalNegotiationAction> negotiationActions)
        {
            await Task.CompletedTask;
            
            // 【负载平衡策略】尝试重新分配部分任务以实现更好的负载平衡
            var balancedAllocation = AttemptLoadBalancing(optimizedSolution, context);
            
            if (balancedAllocation)
            {
                var action = new GlobalNegotiationAction
                {
                    ActionType = GlobalNegotiationActionType.TaskReallocation,
                    TaskId = conflict.TaskId,
                    OriginalPersonnelId = conflict.PersonnelId,
                    Reason = "通过任务重分配优化负载平衡",
                    IsSuccessful = true
                };
                negotiationActions.Add(action);
                
                return true;
            }
            
            return false;
        }

        /// <summary>
        /// 解决通用冲突 - 其他类型冲突的通用处理策略
        /// </summary>
        private async Task<bool> ResolveGenericConflictAsync(
            GlobalConflictDetectionInfo conflict,
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            List<GlobalNegotiationAction> negotiationActions)
        {
            await Task.CompletedTask;
            
            // 【通用策略】尝试最基本的人员替换
            var alternativePersonnel = FindAlternativePersonnelForTask(
                conflict.TaskId, conflict.PersonnelId, optimizedSolution, context);
            
            if (alternativePersonnel.HasValue)
            {
                optimizedSolution.BestSolution[conflict.TaskId] = alternativePersonnel.Value;
                
                var action = new GlobalNegotiationAction
                {
                    ActionType = GlobalNegotiationActionType.PersonnelReplacement,
                    TaskId = conflict.TaskId,
                    OriginalPersonnelId = conflict.PersonnelId,
                    NewPersonnelId = alternativePersonnel.Value,
                    Reason = "通用冲突解决策略",
                    IsSuccessful = true
                };
                negotiationActions.Add(action);
                
                return true;
            }
            
            return false;
        }

        /// <summary>
        /// 验证协商结果 - 确保协商后的方案仍然满足基本约束
        /// </summary>
        private async Task ValidateNegotiationResultsAsync(
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context,
            List<GlobalNegotiationAction> negotiationActions,
            List<GlobalConflictDetectionInfo> conflictDetections)
        {
            await Task.CompletedTask;
            
            try
            {
                _logger.LogDebug("✅ 开始验证协商结果");
                
                // 【基本一致性检查】确保所有任务都有人员分配
                var unassignedTasks = optimizedSolution.BestSolution
                    .Where(kvp => kvp.Value <= 0)
                    .Select(kvp => kvp.Key)
                    .ToList();
                
                if (unassignedTasks.Any())
                {
                    _logger.LogWarning("⚠️ 协商后发现{Count}个未分配任务", unassignedTasks.Count);
                }
                
                // 【协商效果评估】计算协商前后的改进情况
                var resolvedConflicts = conflictDetections.Count(c => c.IsResolved);
                var totalConflicts = conflictDetections.Count;
                var resolutionRate = totalConflicts > 0 ? (double)resolvedConflicts / totalConflicts : 0.0;
                
                _logger.LogInformation("✅ 协商结果验证完成 - 解决率：{Rate:P2}（{Resolved}/{Total}）", 
                    resolutionRate, resolvedConflicts, totalConflicts);
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "协商结果验证异常");
            }
        }

        /// <summary>
        /// 记录协商结果日志 - 详细的协商过程和效果统计
        /// </summary>
        private void LogNegotiationResults(
            List<GlobalNegotiationAction> negotiationActions, 
            List<GlobalConflictDetectionInfo> conflictDetections,
            TimeSpan negotiationDuration)
        {
            try
            {
                var successfulActions = negotiationActions.Count(a => a.IsSuccessful);
                var totalActions = negotiationActions.Count;
                var resolvedConflicts = conflictDetections.Count(c => c.IsResolved);
                var totalConflicts = conflictDetections.Count;
                
                _logger.LogInformation("🎯 智能协商执行完成统计：");
                _logger.LogInformation("   ⏱️ 执行时间：{Duration}ms", negotiationDuration.TotalMilliseconds);
                _logger.LogInformation("   🔧 协商操作：成功{Success}/{Total}个", successfulActions, totalActions);
                _logger.LogInformation("   ✅ 冲突解决：{Resolved}/{Total}个（解决率：{Rate:P2}）", 
                    resolvedConflicts, totalConflicts, totalConflicts > 0 ? (double)resolvedConflicts / totalConflicts : 0.0);
                
                // 【操作类型统计】
                var actionTypeGroups = negotiationActions.GroupBy(a => a.ActionType);
                foreach (var group in actionTypeGroups)
                {
                    var successful = group.Count(a => a.IsSuccessful);
                    var total = group.Count();
                    _logger.LogInformation("   └─ {ActionType}：{Success}/{Total}个", group.Key, successful, total);
                }
                
                // 【冲突类型解决统计】
                var conflictTypeGroups = conflictDetections.GroupBy(c => c.ConflictType);
                foreach (var group in conflictTypeGroups)
                {
                    var resolved = group.Count(c => c.IsResolved);
                    var total = group.Count();
                    _logger.LogInformation("   └─ {ConflictType}冲突：解决{Resolved}/{Total}个", group.Key, resolved, total);
                }
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "协商结果日志记录异常");
            }
        }

        /// <summary>
        /// 完成协商并设置空结果 - 无冲突或无有效方案时的处理
        /// </summary>
        private async Task CompleteNegotiationWithEmptyResult(
            GlobalAllocationResult result,
            List<GlobalNegotiationAction> negotiationActions,
            List<GlobalConflictDetectionInfo> conflictDetections)
        {
            await Task.CompletedTask;
            
            result.NegotiationActions = negotiationActions;
            if (result.ConflictDetections == null)
                result.ConflictDetections = new List<GlobalConflictDetectionInfo>();
            result.ConflictDetections.AddRange(conflictDetections);
            
            _logger.LogInformation("🔧 智能协商完成 - 空结果处理");
        }

        /// <summary>
        /// 完成协商并设置结果 - 正常协商流程完成后的结果设置
        /// </summary>
        private async Task CompleteNegotiationWithResults(
            GlobalAllocationResult result,
            List<GlobalNegotiationAction> negotiationActions,
            List<GlobalConflictDetectionInfo> conflictDetections)
        {
            await Task.CompletedTask;
            
            result.NegotiationActions = negotiationActions;
            if (result.ConflictDetections == null)
                result.ConflictDetections = new List<GlobalConflictDetectionInfo>();
            result.ConflictDetections.AddRange(conflictDetections);
            
            _logger.LogInformation("🔧 智能协商完成 - 执行操作：{ActionCount}个，冲突检测：{ConflictCount}个",
                negotiationActions?.Count ?? 0, conflictDetections?.Count ?? 0);
        }

        #endregion

        #region 智能协商辅助工具方法

        /// <summary>
        /// 根据违规信息确定冲突类型
        /// </summary>
        private GlobalConflictType DetermineConflictTypeFromViolation(string violation)
        {
            if (violation.Contains("次日休息") || violation.Contains("班后一天"))
                return GlobalConflictType.NextDayRestViolation;
            
            if (violation.Contains("同日班次") || violation.Contains("连续"))
                return GlobalConflictType.SameDayShiftContinuity;
            
            if (violation.Contains("连续工作天数"))
                return GlobalConflictType.WeeklyTaskLimit;
            
            if (violation.Contains("周末") || violation.Contains("跨周"))
                return GlobalConflictType.CrossWeekendContinuity;
            
            // 默认返回班次连续性冲突
            return GlobalConflictType.SameDayShiftContinuity;
        }

        /// <summary>
        /// 根据违规信息确定冲突严重程度
        /// </summary>
        private GlobalConflictSeverity DetermineConflictSeverity(string violation)
        {
            if (violation.Contains("异常"))
                return GlobalConflictSeverity.High;
            
            if (violation.Contains("超限"))
                return GlobalConflictSeverity.Critical;
            
            if (violation.Contains("冲突"))
                return GlobalConflictSeverity.High;
            
            return GlobalConflictSeverity.Medium;
        }

        /// <summary>
        /// 验证人员资质是否满足任务要求
        /// </summary>
        private bool ValidatePersonnelQualifications(
            List<PersonnelQualificationCacheItem> personnelQualifications, 
            WorkOrderEntity task)
        {
            // 【简化实现】基础资质验证，实际应根据具体业务需求实现
            if (!personnelQualifications.Any())
                return false;
                
            // 检查是否有有效的资质（未过期且激活）
            var validQualifications = personnelQualifications
                .Where(q => q.IsActive)
                .Where(q => !q.ExpiryDate.HasValue || q.ExpiryDate.Value > DateTime.Now)
                .ToList();
                
            return validQualifications.Any();
        }

        /// <summary>
        /// 获取不可用性原因文本描述
        /// </summary>
        private string GetUnavailabilityReasonText(int reasonType)
        {
            return reasonType switch
            {
                1 => "个人意愿",
                2 => "培训任务",
                3 => "会议任务", 
                4 => "设备维护",
                7 => "临时请假",
                8 => "计划请假",
                9 => "医疗原因",
                10 => "家庭事务",
                11 => "轮岗安排",
                12 => "技能认证",
                _ => "其他原因"
            };
        }

        /// <summary>
        /// 根据不可用原因确定冲突严重程度
        /// </summary>
        private GlobalConflictSeverity DetermineUnavailabilitySeverity(int reasonType)
        {
            return reasonType switch
            {
                7 or 8 or 9 => GlobalConflictSeverity.Critical, // 请假和医疗是硬约束
                4 => GlobalConflictSeverity.High,               // 设备维护重要性高
                3 or 12 => GlobalConflictSeverity.Medium,       // 会议和认证中等重要
                _ => GlobalConflictSeverity.Low                 // 其他较低重要性
            };
        }

        /// <summary>
        /// 获取冲突类型的处理优先级顺序
        /// </summary>
        private int GetConflictTypeOrder(GlobalConflictType conflictType)
        {
            return conflictType switch
            {
                GlobalConflictType.QualificationMismatch => 1,    // 资质问题优先级最高
                GlobalConflictType.TimeUnavailable => 2,          // 时间不可用次之
                GlobalConflictType.NextDayRestViolation => 3,     // 休息规则重要
                GlobalConflictType.SameDayShiftContinuity => 4,   // 班次连续性
                GlobalConflictType.WorkLimitExceeded => 5,        // 工作限制
                GlobalConflictType.WeeklyTaskLimit => 6,          // 周限制
                GlobalConflictType.CrossWeekendContinuity => 7,   // 跨周末连续性
                GlobalConflictType.LoadImbalance => 8,            // 负载均衡优先级最低
                _ => 9                                            // 其他未知类型
            };
        }

        /// <summary>
        /// 查找任务的替代人员 - 核心的人员替换算法
        /// 【业务逻辑】：在可用人员池中找到能够胜任该任务且无冲突的人员
        /// </summary>
        private long? FindAlternativePersonnelForTask(
            long taskId, 
            long currentPersonnelId, 
            GlobalOptimizedSolution optimizedSolution,
            GlobalAllocationContext context)
        {
            try
            {
                // 【获取任务信息】
                var task = context.Tasks.FirstOrDefault(t => t.Id == taskId);
                if (task == null) return null;
                
                // 【候选人员筛选】从可用人员中排除当前人员
                var candidatePersonnel = context.AvailablePersonnel
                    .Where(p => p.Id != currentPersonnelId && p.IsActive)
                    .ToList();
                
                // 【逐个检查候选人员】找到第一个无冲突的人员
                foreach (var candidate in candidatePersonnel)
                {
                    // 【基础可行性检查】检查预筛选结果
                    var prefilterKey = $"{taskId}_{candidate.Id}";
                    if (context.PrefilterResults.TryGetValue(prefilterKey, out var prefilterResult))
                    {
                        if (prefilterResult.IsFeasible && prefilterResult.PrefilterScore > 60) // 60分以上才考虑
                        {
                            // 【简化冲突检查】检查基本的时间和资质可用性
                            if (IsPersonnelAvailableForTask(candidate.Id, task, context))
                            {
                                return candidate.Id;
                            }
                        }
                    }
                }
                
                return null; // 未找到合适的替代人员
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "查找替代人员异常：任务{TaskId}", taskId);
                return null;
            }
        }

        /// <summary>
        /// 查找具备资质的人员 - 基于资质匹配的人员查找
        /// </summary>
        private long? FindQualifiedPersonnelForTask(long taskId, GlobalAllocationContext context)
        {
            try
            {
                var task = context.Tasks.FirstOrDefault(t => t.Id == taskId);
                if (task == null) return null;
                
                // 【资质匹配查找】在人员资质缓存中查找合适人员
                foreach (var personnelQual in context.PersonnelQualificationsCache)
                {
                    var personnelId = personnelQual.Key;
                    var qualifications = personnelQual.Value;
                    
                    // 【资质验证】检查是否满足任务资质要求
                    if (ValidatePersonnelQualifications(qualifications, task))
                    {
                        // 【可用性检查】确保人员在该时间段可用
                        if (IsPersonnelAvailableForTask(personnelId, task, context))
                        {
                            return personnelId;
                        }
                    }
                }
                
                return null;
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "查找有资质人员异常：任务{TaskId}", taskId);
                return null;
            }
        }

        /// <summary>
        /// 查找时间可用的人员 - 基于时间可用性的人员查找
        /// </summary>
        private long? FindTimeAvailablePersonnelForTask(long taskId, GlobalAllocationContext context)
        {
            try
            {
                var task = context.Tasks.FirstOrDefault(t => t.Id == taskId);
                if (task?.ShiftId == null) return null;
                
                // 【时间可用性检查】查找在该时间班次可用的人员
                var dateShiftKey = $"{task.WorkOrderDate:yyyy-MM-dd}_{task.ShiftId}";
                
                // 【排除不可用人员】获取该时间段不可用的人员列表
                var unavailablePersonnel = context.DateShiftUnavailablePersonnel.GetValueOrDefault(dateShiftKey, new HashSet<long>());
                
                // 【查找可用人员】从全部人员中排除不可用的人员
                var availablePersonnel = context.AvailablePersonnel
                    .Where(p => p.IsActive && !unavailablePersonnel.Contains(p.Id))
                    .FirstOrDefault();
                
                return availablePersonnel?.Id;
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "查找时间可用人员异常：任务{TaskId}", taskId);
                return null;
            }
        }

        /// <summary>
        /// 查找工作负载较轻的人员 - 用于负载均衡
        /// </summary>
        private long? FindLightWorkloadPersonnel(GlobalOptimizedSolution optimizedSolution, GlobalAllocationContext context)
        {
            try
            {
                // 【计算各人员工作负载】
                var personnelWorkloads = optimizedSolution.BestSolution
                    .GroupBy(kvp => kvp.Value)
                    .ToDictionary(g => g.Key, g => g.Count());
                
                // 【查找最少工作量人员】
                var lightestWorkload = personnelWorkloads.Values.Min();
                var lightWorkloadPersonnel = personnelWorkloads
                    .Where(kvp => kvp.Value == lightestWorkload)
                    .Select(kvp => kvp.Key)
                    .FirstOrDefault();
                
                return lightWorkloadPersonnel > 0 ? lightWorkloadPersonnel : null;
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "查找轻负载人员异常");
                return null;
            }
        }

        /// <summary>
        /// 尝试负载均衡 - 通过任务重分配优化负载分布
        /// </summary>
        private bool AttemptLoadBalancing(GlobalOptimizedSolution optimizedSolution, GlobalAllocationContext context)
        {
            try
            {
                // 【简化实现】基础的负载均衡逻辑
                // 实际项目中需要复杂的负载重分配算法
                
                var personnelWorkloads = optimizedSolution.BestSolution
                    .GroupBy(kvp => kvp.Value)
                    .ToDictionary(g => g.Key, g => g.Select(x => x.Key).ToList());
                
                var maxWorkload = personnelWorkloads.Values.Max(tasks => tasks.Count);
                var minWorkload = personnelWorkloads.Values.Min(tasks => tasks.Count);
                
                // 【负载差异检查】如果差异过大，尝试重分配
                if (maxWorkload - minWorkload > 2)
                {
                    // 找到负载最重和最轻的人员
                    var heaviestPersonnel = personnelWorkloads.First(kvp => kvp.Value.Count == maxWorkload);
                    var lightestPersonnel = personnelWorkloads.First(kvp => kvp.Value.Count == minWorkload);
                    
                    // 【任务转移】将一个任务从重负载人员转移到轻负载人员
                    var taskToTransfer = heaviestPersonnel.Value.First();
                    optimizedSolution.BestSolution[taskToTransfer] = lightestPersonnel.Key;
                    
                    _logger.LogDebug("🔄 负载均衡：将任务{TaskId}从人员{Heavy}转移到人员{Light}", 
                        taskToTransfer, heaviestPersonnel.Key, lightestPersonnel.Key);
                    
                    return true;
                }
                
                return false;
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "负载均衡尝试异常");
                return false;
            }
        }

        /// <summary>
        /// 检查人员是否可用于特定任务 - 综合可用性检查
        /// </summary>
        private bool IsPersonnelAvailableForTask(long personnelId, WorkOrderEntity task, GlobalAllocationContext context)
        {
            try
            {
                // 【时间可用性检查】
                if (task.ShiftId.HasValue)
                {
                    var dateShiftKey = $"{task.WorkOrderDate:yyyy-MM-dd}_{task.ShiftId}";
                    if (context.DateShiftUnavailablePersonnel.TryGetValue(dateShiftKey, out var unavailablePersonnel))
                    {
                        if (unavailablePersonnel.Contains(personnelId))
                        {
                            return false; // 该时间段不可用
                        }
                    }
                }
                
                // 【资质检查】
                if (context.PersonnelQualificationsCache.TryGetValue(personnelId, out var qualifications))
                {
                    if (!ValidatePersonnelQualifications(qualifications, task))
                    {
                        return false; // 资质不符合
                    }
                }
                
                // 【工作限制检查】
                if (context.PersonnelWorkLimitsRuleCache.TryGetValue(personnelId, out var workLimits))
                {
                    // 简化检查：这里应该检查周工作量等限制
                    // 实际实现时需要更复杂的逻辑
                }
                
                return true; // 通过所有检查
            }
            catch (Exception ex)
            {
                _logger.LogError(ex, "人员可用性检查异常：人员{PersonnelId}任务{TaskId}", personnelId, task.Id);
                return false;
            }
        }

        #endregion

        #endregion
    }
}