Instruction:
## 开发规则

你是一名经验丰富的[专业领域，例如：软件开发工程师 / 系统设计师 / 代码架构师]，专注于构建[核心特长，例如：高性能 / 可维护 / 健壮 / 领域驱动]的解决方案。

你的任务是：**审查、理解并迭代式地改进/推进一个[项目类型，例如：现有代码库 / 软件项目 / 技术流程]。**

在整个工作流程中，你必须内化并严格遵循以下核心编程原则，确保你的每次输出和建议都体现这些理念：

- **简单至上 (KISS):** 追求代码和设计的极致简洁与直观，避免不必要的复杂性。
- **精益求精 (YAGNI):** 仅实现当前明确所需的功能，抵制过度设计和不必要的未来特性预留。
- **坚实基础 (SOLID):**
  - **S (单一职责):** 各组件、类、函数只承担一项明确职责。
  - **O (开放/封闭):** 功能扩展无需修改现有代码。
  - **L (里氏替换):** 子类型可无缝替换其基类型。
  - **I (接口隔离):** 接口应专一，避免“胖接口”。
  - **D (依赖倒置):** 依赖抽象而非具体实现。
- **杜绝重复 (DRY):** 识别并消除代码或逻辑中的重复模式，提升复用性。

**请严格遵循以下工作流程和输出要求：**

1.  **深入理解与初步分析（理解阶段）：**

    - 详细审阅提供的[资料/代码/项目描述]，全面掌握其当前架构、核心组件、业务逻辑及痛点。
    - 在理解的基础上，初步识别项目中潜在的**KISS, YAGNI, DRY, SOLID**原则应用点或违背现象。

2.  **明确目标与迭代规划（规划阶段）：**

    - 基于用户需求和对现有项目的理解，清晰定义本次迭代的具体任务范围和可衡量的预期成果。
    - 在规划解决方案时，优先考虑如何通过应用上述原则，实现更简洁、高效和可扩展的改进，而非盲目增加功能。

3.  **分步实施与具体改进（执行阶段）：**

    - 详细说明你的改进方案，并将其拆解为逻辑清晰、可操作的步骤。
    - 针对每个步骤，具体阐述你将如何操作，以及这些操作如何体现**KISS, YAGNI, DRY, SOLID**原则。例如：
      - “将此模块拆分为更小的服务，以遵循 SRP 和 OCP。”
      - “为避免 DRY，将重复的 XXX 逻辑抽象为通用函数。”
      - “简化了 Y 功能的用户流，体现 KISS 原则。”
      - “移除了 Z 冗余设计，遵循 YAGNI 原则。”
    - 重点关注[项目类型，例如：代码质量优化 / 架构重构 / 功能增强 / 用户体验提升 / 性能调优 / 可维护性改善 / Bug 修复]的具体实现细节。

4.  **总结、反思与展望（汇报阶段）：**
    - 提供一个清晰、结构化且包含**实际代码/设计变动建议（如果适用）**的总结报告。
    - 报告中必须包含：
      - **本次迭代已完成的核心任务**及其具体成果。
      - **本次迭代中，你如何具体应用了** **KISS, YAGNI, DRY, SOLID** **原则**，并简要说明其带来的好处（例如，代码量减少、可读性提高、扩展性增强）。
      - **遇到的挑战**以及如何克服。
      - **下一步的明确计划和建议。**

---

### 编码输出/语言偏好###
## Communication & Language
- Default language: Simplified Chinese for issues, PRs, and assistant replies, unless a thread explicitly requests English.
- Keep code identifiers, CLI commands, logs, and error messages in their original language; add concise Chinese explanations when helpful.
- To switch languages, state it clearly in the conversation or PR description.

## File Encoding
When modifying or adding any code files, the following coding requirements must be adhered to:
- Encoding should be unified to UTF-8 (without BOM). It is strictly prohibited to use other local encodings such as GBK/ANSI, and it is strictly prohibited to submit content containing unreadable characters.
- When modifying or adding files, be sure to save them in UTF-8 format; if you find any files that are not in UTF-8 format before submitting, please convert them to UTF-8 before submitting.

--- project-doc ---

# Repository Guidelines

## Project Structure & Module Organization
Source lives under the solution `NPP.SmartSchedue.sln`. `NPP.SmartSchedue.Host` hosts the ASP.NET Core app, with environment settings in `appsettings*.json`, seed scripts in `ConfigCenter` and `InitData`, and static assets in `wwwroot`. Domain services sit in `NPP.SmartSchedue.Api`, organized into `Core` (attributes, constants), `Services` (business logic), and `Repositories` (data access). Shared contracts, DTOs, and interfaces reside in `NPP.SmartSchedue.Api.Contracts`; keep cross-project types there. Tests are in `NPP.SmartSchedue.Tests`, with reusable fixtures in `BaseTest` and service-focused integration suites under `Services`.

## Build, Test, and Development Commands
- `dotnet restore NPP.SmartSchedue.sln` restores all project dependencies.
- `dotnet build NPP.SmartSchedue.sln -c Release` validates compilation; use `-c Debug` during local iteration.
- `dotnet run --project NPP.SmartSchedue.Host` boots the API with the default profile; add `--launch-profile Development` when you need local CAP setups.
- `dotnet test NPP.SmartSchedue.Tests/NPP.SmartSchedue.Tests.csproj --logger "trx;LogFileName=test-results.trx"` exercises the xUnit suites and saves artifacts for PR review.

## Coding Style & Naming Conventions
Target .NET 9 defaults: four-space indentation, braces on new lines, and explicit namespaces. Use `PascalCase` for classes, public members, and DTOs, `camelCase` for locals and private fields, and prefix interfaces with `I` as seen in `Api.Contracts`. Suffix asynchronous methods with `Async`, and keep request/response models in the Contracts project. Run `dotnet format` before committing to enforce spacing and using-order consistency.

## Testing Guidelines
Write xUnit tests alongside existing patterns such as `EquipmentMaintenanceIntegrationTest`. Name new files `{Feature}Test.cs` or `{Feature}IntegrationTest.cs`, group helper logic in `BaseTest`, and rely on `Microsoft.AspNetCore.Mvc.Testing` for host bootstrapping. Aim to cover new service paths and repository edge cases; add mocks via Moq where external systems (CAP, RabbitMQ, MySQL) would otherwise be required.

## Commit & Pull Request Guidelines
Prefer descriptive commits (`feat(scheduling): add notification workflow`) instead of numeric placeholders seen in recent history. Bundle related changes, include migration or config adjustments in the same commit, and reference tracking IDs where relevant. Pull requests should outline the change, list manual or automated test evidence, mention configuration impacts (CAP, FreeSql, message queues), and supply screenshots for any UI updates under `wwwroot`.

## Configuration & Environment Notes
Keep secrets out of `appsettings.json`; use user secrets or environment variables for connection strings and CAP brokers. Document any required RabbitMQ or MySQL endpoints in the PR. When adding assets or scripts, mirror the structure under `ConfigCenter`, `InitData`, and `wwwroot` so the publish targets continue copying them correctly.


<user_instructions>

## 开发规则

你是一名经验丰富的[专业领域，例如：软件开发工程师 / 系统设计师 / 代码架构师]，专注于构建[核心特长，例如：高性能 / 可维护 / 健壮 / 领域驱动]的解决方案。

你的任务是：**审查、理解并迭代式地改进/推进一个[项目类型，例如：现有代码库 / 软件项目 / 技术流程]。**

在整个工作流程中，你必须内化并严格遵循以下核心编程原则，确保你的每次输出和建议都体现这些理念：

- **简单至上 (KISS):** 追求代码和设计的极致简洁与直观，避免不必要的复杂性。
- **精益求精 (YAGNI):** 仅实现当前明确所需的功能，抵制过度设计和不必要的未来特性预留。
- **坚实基础 (SOLID):**
  - **S (单一职责):** 各组件、类、函数只承担一项明确职责。
  - **O (开放/封闭):** 功能扩展无需修改现有代码。
  - **L (里氏替换):** 子类型可无缝替换其基类型。
  - **I (接口隔离):** 接口应专一，避免“胖接口”。
  - **D (依赖倒置):** 依赖抽象而非具体实现。
- **杜绝重复 (DRY):** 识别并消除代码或逻辑中的重复模式，提升复用性。

**请严格遵循以下工作流程和输出要求：**

1.  **深入理解与初步分析（理解阶段）：**

    - 详细审阅提供的[资料/代码/项目描述]，全面掌握其当前架构、核心组件、业务逻辑及痛点。
    - 在理解的基础上，初步识别项目中潜在的**KISS, YAGNI, DRY, SOLID**原则应用点或违背现象。

2.  **明确目标与迭代规划（规划阶段）：**

    - 基于用户需求和对现有项目的理解，清晰定义本次迭代的具体任务范围和可衡量的预期成果。
    - 在规划解决方案时，优先考虑如何通过应用上述原则，实现更简洁、高效和可扩展的改进，而非盲目增加功能。

3.  **分步实施与具体改进（执行阶段）：**

    - 详细说明你的改进方案，并将其拆解为逻辑清晰、可操作的步骤。
    - 针对每个步骤，具体阐述你将如何操作，以及这些操作如何体现**KISS, YAGNI, DRY, SOLID**原则。例如：
      - “将此模块拆分为更小的服务，以遵循 SRP 和 OCP。”
      - “为避免 DRY，将重复的 XXX 逻辑抽象为通用函数。”
      - “简化了 Y 功能的用户流，体现 KISS 原则。”
      - “移除了 Z 冗余设计，遵循 YAGNI 原则。”
    - 重点关注[项目类型，例如：代码质量优化 / 架构重构 / 功能增强 / 用户体验提升 / 性能调优 / 可维护性改善 / Bug 修复]的具体实现细节。

4.  **总结、反思与展望（汇报阶段）：**
    - 提供一个清晰、结构化且包含**实际代码/设计变动建议（如果适用）**的总结报告。
    - 报告中必须包含：
      - **本次迭代已完成的核心任务**及其具体成果。
      - **本次迭代中，你如何具体应用了** **KISS, YAGNI, DRY, SOLID** **原则**，并简要说明其带来的好处（例如，代码量减少、可读性提高、扩展性增强）。
      - **遇到的挑战**以及如何克服。
      - **下一步的明确计划和建议。**

---

### 编码输出/语言偏好###
## Communication & Language
- Default language: Simplified Chinese for issues, PRs, and assistant replies, unless a thread explicitly requests English.
- Keep code identifiers, CLI commands, logs, and error messages in their original language; add concise Chinese explanations when helpful.
- To switch languages, state it clearly in the conversation or PR description.

## File Encoding
When modifying or adding any code files, the following coding requirements must be adhered to:
- Encoding should be unified to UTF-8 (without BOM). It is strictly prohibited to use other local encodings such as GBK/ANSI, and it is strictly prohibited to submit content containing unreadable characters.
- When modifying or adding files, be sure to save them in UTF-8 format; if you find any files that are not in UTF-8 format before submitting, please convert them to UTF-8 before submitting.

--- project-doc ---

# Repository Guidelines

## Project Structure & Module Organization
Source lives under the solution `NPP.SmartSchedue.sln`. `NPP.SmartSchedue.Host` hosts the ASP.NET Core app, with environment settings in `appsettings*.json`, seed scripts in `ConfigCenter` and `InitData`, and static assets in `wwwroot`. Domain services sit in `NPP.SmartSchedue.Api`, organized into `Core` (attributes, constants), `Services` (business logic), and `Repositories` (data access). Shared contracts, DTOs, and interfaces reside in `NPP.SmartSchedue.Api.Contracts`; keep cross-project types there. Tests are in `NPP.SmartSchedue.Tests`, with reusable fixtures in `BaseTest` and service-focused integration suites under `Services`.

## Build, Test, and Development Commands
- `dotnet restore NPP.SmartSchedue.sln` restores all project dependencies.
- `dotnet build NPP.SmartSchedue.sln -c Release` validates compilation; use `-c Debug` during local iteration.
- `dotnet run --project NPP.SmartSchedue.Host` boots the API with the default profile; add `--launch-profile Development` when you need local CAP setups.
- `dotnet test NPP.SmartSchedue.Tests/NPP.SmartSchedue.Tests.csproj --logger "trx;LogFileName=test-results.trx"` exercises the xUnit suites and saves artifacts for PR review.

## Coding Style & Naming Conventions
Target .NET 9 defaults: four-space indentation, braces on new lines, and explicit namespaces. Use `PascalCase` for classes, public members, and DTOs, `camelCase` for locals and private fields, and prefix interfaces with `I` as seen in `Api.Contracts`. Suffix asynchronous methods with `Async`, and keep request/response models in the Contracts project. Run `dotnet format` before committing to enforce spacing and using-order consistency.

## Testing Guidelines
Write xUnit tests alongside existing patterns such as `EquipmentMaintenanceIntegrationTest`. Name new files `{Feature}Test.cs` or `{Feature}IntegrationTest.cs`, group helper logic in `BaseTest`, and rely on `Microsoft.AspNetCore.Mvc.Testing` for host bootstrapping. Aim to cover new service paths and repository edge cases; add mocks via Moq where external systems (CAP, RabbitMQ, MySQL) would otherwise be required.

## Commit & Pull Request Guidelines
Prefer descriptive commits (`feat(scheduling): add notification workflow`) instead of numeric placeholders seen in recent history. Bundle related changes, include migration or config adjustments in the same commit, and reference tracking IDs where relevant. Pull requests should outline the change, list manual or automated test evidence, mention configuration impacts (CAP, FreeSql, message queues), and supply screenshots for any UI updates under `wwwroot`.

## Configuration & Environment Notes
Keep secrets out of `appsettings.json`; use user secrets or environment variables for connection strings and CAP brokers. Document any required RabbitMQ or MySQL endpoints in the PR. When adding assets or scripts, mirror the structure under `ConfigCenter`, `InitData`, and `wwwroot` so the publish targets continue copying them correctly.

</user_instructions>


<environment_context>
  <cwd>c:\GitCode\paiban</cwd>
  <approval_policy>never</approval_policy>
  <sandbox_mode>danger-full-access</sandbox_mode>
  <network_access>enabled</network_access>
  <shell>pwsh.exe</shell>
</environment_context>


# Context from my IDE setup:

## Active file: NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs

## Active selection of the file:
LinearProgrammingEngine
## Open tabs:
- LinearProgrammingEngine.cs: NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs

## My request for Codex:
分析 LinearProgrammingEngine  OptimizeAsync  的公平性校验规则


Summary: auto


**Preparing to analyze fairness check rules**


Output: {"output":"using System;\nusing System.Collections.Generic;\nusing System.Linq;\nusing System.Threading.Tasks;\nusing Google.OrTools.LinearSolver;\nusing Microsoft.Extensions.Logging;\nusing NPP.SmartSchedue.Api.Contracts.Domain.Work;\nusing NPP.SmartSchedue.Api.Contracts.Domain.Personnel;\nusing NPP.SmartSchedue.Api.Contracts.Services.Integration.Internal;\nusing NPP.SmartSchedue.Api.Contracts.Services.Integration.Output;\n\nnamespace NPP.SmartSchedue.Api.Services.Integration.Algorithms\n{\n    /// <summary>\n    /// 增强版线性规划引擎 - 实现遗传算法中的所有复杂约束\n    /// 核心功能：三级约束体系 + 多维度目标优化 + 完整业务规则支持\n    /// 设计理念：将遗传算法的启发式约束转换为严格的数学约束，实现精确求解\n    /// 技术架构：Google OR-Tools + 分层约束建模 + 自适应权重优化\n    /// 业务价值：提供数学最优解，替代遗传算法的近似解，提升调度质量\n    /// </summary>\n    public class LinearProgrammingEngine\n    {\n        private readonly ILogger<LinearProgrammingEngine> _logger;\n        private readonly ShiftRuleValidationEngine _shiftRuleEngine;\n        \n        // 求解器配置 - 增强版配置支持复杂约束\n        private const string SOLVER_TYPE = \"CBC_MIXED_INTEGER_PROGRAMMING\";\n        private const int MAX_SOLVER_TIME_SECONDS = 600; // 增加到10分钟支持复杂约束\n        \n        // 约束权重配置 - 对应遗传算法的三级约束体系\n        private const double LEVEL1_CONSTRAINT_PENALTY = 1000000.0; // Level 1: 基础约束严厉惩罚\n        private const double LEVEL2_CONSTRAINT_PENALTY = 100000.0;  // Level 2: 组合约束重度惩罚  \n        private const double LEVEL3_CONSTRAINT_PENALTY = 10000.0;   // Level 3: 业务约束中度惩罚\n        private const double FAIRNESS_REWARD_FACTOR = 1000.0;       // 公平性奖励系数\n\n        public LinearProgrammingEngine(\n            ILogger<LinearProgrammingEngine> logger,\n            ShiftRuleValidationEngine shiftRuleEngine)\n        {\n            _logger = logger ?? throw new ArgumentNullException(nameof(logger));\n            _shiftRuleEngine = shiftRuleEngine ?? throw new ArgumentNullException(nameof(shiftRuleEngine));\n        }\n\n        /// <summary>\n        /// 执行增强版线性规划优化 - 实现遗传算法等价的约束体系\n        /// 业务流程：构建决策变量 → 三级约束建模 → 多目标优化 → 精确求解 → 解析结果\n        /// 核心创新：将启发式约束转换为线性约束，实现数学最优解\n        /// </summary>\n        public async Task<GlobalOptimizedSolution> OptimizeAsync(GlobalAllocationContext context)\n        {\n            var stopwatch = System.Diagnostics.Stopwatch.StartNew();\n            \n            try\n            {\n                _logger.LogDebug(\"🚀 启动增强版线性规划优化 - 任务数：{TaskCount}，人员数：{PersonnelCount}，预筛选缓存：{CacheSize}\", \n                    context.Tasks.Count, context.AvailablePersonnel.Count, context.PrefilterResults.Count);\n\n                // 第一步：创建高性能求解器\n                using var solver = CreateAdvancedSolver();\n\n                // 第二步：构建决策变量矩阵 (x[i,j] = 1表示任务i分配给人员j)\n                var decisionVariables = BuildDecisionVariables(solver, context);\n                _logger.LogDebug(\"📊 决策变量构建完成 - 变量数量：{VariableCount}\", decisionVariables.Count);\n\n                // 第三步：构建辅助变量 (支持复杂约束建模)\n                var auxiliaryVariables = BuildAuxiliaryVariables(solver, context, decisionVariables);\n                _logger.LogDebug(\"🔧 辅助变量构建完成 - 辅助变量数量：{AuxCount}\", auxiliaryVariables.Count);\n\n                // 第四步：Level 1 基础约束 - 对应遗传算法的基础约束验证\n                await AddLevel1BasicConstraints(solver, decisionVariables, auxiliaryVariables, context);\n\n                // 第五步：Level 2 组合约束 - 对应遗传算法的组合约束验证  \n                await AddLevel2CombinationConstraints(solver, decisionVariables, auxiliaryVariables, context);\n\n                // 第六步：Level 3 业务约束 - 对应遗传算法的业务逻辑约束\n                await AddLevel3BusinessConstraints(solver, decisionVariables, auxiliaryVariables, context);\n\n                // 第七步：公平性约束 - 对应遗传算法的负载均衡机制\n                AddFairnessConstraints(solver, decisionVariables, auxiliaryVariables, context);\n\n                // 第八步：设置多维度目标函数 - 对应遗传算法的适应度函数\n                SetEnhancedObjectiveFunction(solver, decisionVariables, auxiliaryVariables, context);\n\n                // 第九步：执行求解\n                _logger.LogInformation(\"🔍 开始求解增强版线性规划模型...\");\n                var resultStatus = solver.Solve();\n                \n                stopwatch.Stop();\n                \n                // 第十步：解析和验证\n[... omitted 2154 of 2410 lines ...]\n\n                \n                // 检查历史任务人员的分配\n                if (context.PersonnelHistoryTasks.TryGetValue(personnelId, out var historyTask))\n                {\n                    var taskDate = task.WorkOrderDate.Date;\n\n                    if (historyTask.Any(m => m.WorkDate.Date == taskDate))\n                    {\n                        return true;\n                    }\n                }\n                \n                return false; // 人员可用\n            }\n            catch (Exception ex)\n            {\n                _logger.LogWarning(ex, \"⚠ 检查人员不可用性异常 - 任务{TaskId}人员{PersonnelId}，默认为不可用\", \n                    task.Id, personnelId);\n                return true; // 异常情况下保守处理，标记为不可用\n            }\n        }\n\n        /// <summary>\n        /// 【Ultra think方法】检查人员在指定任务时间是否不可用（异步版本）\n        /// 【扩展支持】：为未来集成更复杂的不可用性检查逻辑预留接口\n        /// </summary>\n        private async Task<bool> IsPersonnelUnavailableForTaskAsync(WorkOrderEntity task, long personnelId, GlobalAllocationContext context)\n        {\n            // 目前直接调用同步版本，保持异步接口以便未来扩展\n            await Task.CompletedTask;\n            return IsPersonnelUnavailableForTask(task, personnelId, context);\n        }\n\n        #endregion\n    }\n\n    /// <summary>\n    /// 人员任务矩阵 - 支持高效的关联查询\n    /// </summary>\n    public class PersonnelTaskMatrix\n    {\n        public Dictionary<long, List<WorkOrderEntity>> PersonnelTaskMap { get; set; } = new();\n        public Dictionary<long, List<GlobalPersonnelInfo>> TaskPersonnelMap { get; set; } = new();\n    }\n\n    /// <summary>\n    /// 时间窗口定义\n    /// </summary>\n    public class TimeWindow : IEquatable<TimeWindow>\n    {\n        public DateTime Date { get; set; }\n        public long ShiftId { get; set; }\n        public TimeSpan StartTime { get; set; }\n\n        public bool Equals(TimeWindow other)\n        {\n            if (other == null) return false;\n            return Date.Date == other.Date.Date && \n                   ShiftId == other.ShiftId && \n                   StartTime == other.StartTime;\n        }\n\n        public override bool Equals(object obj) => Equals(obj as TimeWindow);\n        \n        public override int GetHashCode() => HashCode.Combine(Date.Date, ShiftId, StartTime);\n    }\n\n    /// <summary>\n    /// 冲突严重程度枚举\n    /// </summary>\n    public enum ConflictSeverity\n    {\n        None = 0,        // 无冲突\n        Low = 1,         // 轻微冲突\n        Medium = 2,      // 中等冲突\n        High = 3,        // 严重冲突\n        Critical = 4     // 关键冲突\n    }\n\n    /// <summary>\n    /// WorkOrderEntity扩展方法 - 为LinearProgrammingEngine提供辅助功能\n    /// </summary>\n    public static class WorkOrderEntityExtensions\n    {\n        /// <summary>\n        /// 【深度实现】为验证目的克隆WorkOrderEntity\n        /// 【业务思考】：在线性规划验证过程中，需要模拟分配的临时任务对象\n        /// 【技术要点】：仅复制验证所需的关键字段，避免整体对象克隆的性能开销\n        /// </summary>\n        public static WorkOrderEntity CloneForValidation(this WorkOrderEntity original)\n        {\n            return new WorkOrderEntity\n            {\n                Id = original.Id,\n                ProjectNumber = original.ProjectNumber,\n                ProjectCategory = original.ProjectCategory,\n                ShiftId = original.ShiftId,\n                ShiftCode = original.ShiftCode,\n                ShiftName = original.ShiftName,\n                WorkOrderCode = original.WorkOrderCode,\n                WorkOrderDate = original.WorkOrderDate,\n                Priority = original.Priority,\n                Urgency = original.Urgency,\n                ComplexityLevel = original.ComplexityLevel,\n                EstimatedHours = original.EstimatedHours,\n                Status = original.Status,\n                AssignedPersonnelId = original.AssignedPersonnelId, // 这个将被修改为模拟分配的人员ID\n                // 关联对象也需要复制\n                ShiftEntity = original.ShiftEntity,\n                ProcessEntity = original.ProcessEntity,\n                WorkOrderFLPersonnels = original.WorkOrderFLPersonnels\n            };\n        }\n    }\n\n    /// <summary>\n    /// 解质量指标\n    /// </summary>\n    public class SolutionQualityMetrics\n    {\n        public double TaskCompletenessRate { get; set; }\n        public double TimeConflictRate { get; set; }\n        public double LoadBalanceScore { get; set; }\n        public double PersonnelUtilizationRate { get; set; }\n        public double ConstraintSatisfactionRate { get; set; }\n        public List<string> ViolationDetails { get; set; } = new();\n    }\n}","metadata":{"exit_code":0,"duration_seconds":1.9}}


**Planning to search for fairness checks**


shell

Select-String -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs" -Pattern "Fairness"


Output: {"output":"\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:34:        private const double \u001b[7mFAIRNES\u001b[0m\r\n\u001b[7mS\u001b[0m_REWARD_FACTOR = 1000.0;       // 公平性奖励系数\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:79:                Add\u001b[7mFairness\u001b[0mConstrain\u001b[0m\r\n\u001b[7m\u001b[0mts(solver, decisionVariables, auxiliaryVariables, context);\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:830:        /// 添加公平性约束 - 对应遗\r\n传算法的Calculate\u001b[7mFairness\u001b[0mScore和负载均衡机制\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:833:        private void Add\u001b[7mFairness\u001b[0mCon\u001b[0m\r\n\u001b[7m\u001b[0mstraints(\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:948:            Add\u001b[7mFairness\u001b[0mRewards(obje\u001b[0m\r\n\u001b[7m\u001b[0mctive, auxiliaryVars, context);\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1020:        private void Add\u001b[7mFairness\u001b[0mRe\u001b[0m\r\n\u001b[7m\u001b[0mwards(\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1029:            //     objective.SetCo\r\nefficient(kvp.Value, -\u001b[7mFAIRNESS\u001b[0m_REWARD_FACTOR);\u001b[0m\r\n\r\n","metadata":{"exit_code":0,"duration_seconds":1.1}}


**Investigating fairness constraints code**


$content = Get-Content -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs"; $content[820..940]


Output: {"output":"            _logger.LogInformation(\"✅ 资质约束构建完成 - 约束数量：{QualificationConstraintCount}（基于预筛选结果）\", constraintCount);\r\n            return constraintCount;\r\n        }\r\n\r\n        #endregion\r\n\r\n        #region 公平性约束 - 对应遗传算法负载均衡机制\r\n\r\n        /// <summary>\r\n        /// 添加公平性约束 - 对应遗传算法的CalculateFairnessScore和负载均衡机制\r\n        /// 包含：负载均衡约束、人员利用率约束、过度集中惩罚约束\r\n        /// </summary>\r\n        private void AddFairnessConstraints(\r\n            Solver solver,\r\n            Dictionary<(long TaskId, long PersonnelId), Variable> decisionVars,\r\n            Dictionary<string, Variable> auxiliaryVars,\r\n            GlobalAllocationContext context)\r\n        {\r\n            var constraintCount = 0;\r\n            \r\n            _logger.LogInformation(\"⚖ 开始添加公平性约束...\");\r\n\r\n            var totalTasks = context.Tasks.Count;\r\n            var totalPersonnel = context.AvailablePersonnel.Count;\r\n            var avgWorkload = (double)totalTasks / totalPersonnel;\r\n\r\n            // 公平性约束1：负载均衡偏差计算\r\n            foreach (var personnel in context.AvailablePersonnel)\r\n            {\r\n                var workloadVarKey = $\"workload_{personnel.Id}\";\r\n                var posDevVarKey = $\"pos_dev_{personnel.Id}\";\r\n                var negDevVarKey = $\"neg_dev_{personnel.Id}\";\r\n\r\n                if (auxiliaryVars.ContainsKey(workloadVarKey) && \r\n                    auxiliaryVars.ContainsKey(posDevVarKey) && \r\n                    auxiliaryVars.ContainsKey(negDevVarKey))\r\n                {\r\n                    // 约束：workload = avgWorkload + pos_deviation - neg_deviation\r\n                    var balanceConstraint = solver.MakeConstraint(avgWorkload, avgWorkload, \r\n                        $\"load_balance_{personnel.Id}\");\r\n                    \r\n                    balanceConstraint.SetCoefficient(auxiliaryVars[workloadVarKey], 1);\r\n                    balanceConstraint.SetCoefficient(auxiliaryVars[posDevVarKey], -1);\r\n                    balanceConstraint.SetCoefficient(auxiliaryVars[negDevVarKey], 1);\r\n                    constraintCount++;\r\n                }\r\n            }\r\n\r\n            // 公平性约束2：最大负载限制 - 防止极端不均衡\r\n            var maxReasonableWorkload = Math.Ceiling(avgWorkload * 1.5);\r\n            foreach (var personnel in context.AvailablePersonnel)\r\n            {\r\n                var workloadVarKey = $\"workload_{personnel.Id}\";\r\n                if (auxiliaryVars.ContainsKey(workloadVarKey))\r\n                {\r\n                    var constraint = solver.MakeConstraint(0, maxReasonableWorkload, \r\n                        $\"max_workload_{personnel.Id}\");\r\n                    constraint.SetCoefficient(auxiliaryVars[workloadVarKey], 1);\r\n                    constraintCount++;\r\n                }\r\n            }\r\n\r\n            // 公平性约束3：最小人员利用率约束 - 确保不会过度集中\r\n            var minPersonnelUtilization = totalTasks > 10 ? Math.Max(3, totalPersonnel * 0.4) : 2;\r\n            \r\n            // 创建人员参与指示变量\r\n            var participationVars = new List<Variable>();\r\n            foreach (var personnel in context.AvailablePersonnel)\r\n            {\r\n                var participationVar = solver.MakeBoolVar($\"participation_{personnel.Id}\");\r\n                participationVars.Add(participationVar);\r\n                \r\n                // 如果人员参与，则至少分配1个任务\r\n                var constraint = solver.MakeConstraint(0, double.PositiveInfinity, \r\n                    $\"participation_min_{personnel.Id}\");\r\n                \r\n                constraint.SetCoefficient(participationVar, -1);\r\n                \r\n                var personnelTasks = decisionVars.Where(v => v.Key.PersonnelId == personnel.Id);\r\n                foreach (var kvp in personnelTasks)\r\n                {\r\n                    constraint.SetCoefficient(kvp.Value, 1);\r\n                }\r\n                constraintCount++;\r\n            }\r\n            \r\n            // 最小参与人数约束\r\n            var minParticipationConstraint = solver.MakeConstraint(minPersonnelUtilization, double.PositiveInfinity, \r\n                \"min_personnel_utilization\");\r\n            \r\n            foreach (var participationVar in participationVars)\r\n            {\r\n                minParticipationConstraint.SetCoefficient(participationVar, 1);\r\n            }\r\n            constraintCount++;\r\n\r\n            _logger.LogDebug(\"✅ 公平性约束添加完成 - 约束数量：{ConstraintCount}，平均负载：{AvgWorkload:F2}，最大负载：{MaxWorkload:F2}，最小参与人数：{MinParticipation}\", \r\n                constraintCount, avgWorkload, maxReasonableWorkload, minPersonnelUtilization);\r\n        }\r\n\r\n        #endregion\r\n\r\n        #region 目标函数 - 对应遗传算法适应度函数\r\n\r\n        /// <summary>\r\n        /// 设置增强版目标函数 - 对应遗传算法的多维度适应度评估\r\n        /// 目标组成：基础评分 + 约束惩罚 + 公平性奖励 + 业务优先级奖励\r\n        /// 权重设计：约束满足(最高) > 公平性(高) > 业务优化(中) > 其他因素(低)\r\n        /// </summary>\r\n        private void SetEnhancedObjectiveFunction(\r\n            Solver solver,\r\n            Dictionary<(long TaskId, long PersonnelId), Variable> decisionVars,\r\n            Dictionary<string, Variable> auxiliaryVars,\r\n            GlobalAllocationContext context)\r\n        {\r\n            var objective = solver.Objective();\r\n            objective.SetMaximization();\r\n            \r\n            _logger.LogInformation(\"🎯 构建增强版多维度目标函数...\");\r\n\r\n            // 目标组件1：基础分配评分 - 基于预筛选结果的质量评分\r\n","metadata":{"exit_code":0,"duration_seconds":2.1}}


**Searching for fairness verification in code**


Select-String -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs" -Pattern "公平"


Output: {"output":"\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:34:        private const double FAIRNES\r\nS_REWARD_FACTOR = 1000.0;       // \u001b[7m公平\u001b[0m性奖励系数\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:78:                // 第七步：\u001b[7m公平\u001b[0m性约\u001b[0m\r\n\u001b[7m\u001b[0m束 - 对应遗传算法的负载均衡机制\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:216:            // 2. 负载均衡偏差变量 \r\n(支持\u001b[7m公平\u001b[0m性目标建模)\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:827:        #region \u001b[7m公平\u001b[0m性约束 - 对应遗\u001b[0m\r\n\u001b[7m\u001b[0m传算法负载均衡机制\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:830:        /// 添加\u001b[7m公平\u001b[0m性约束 - 对应遗\u001b[0m\r\n\u001b[7m\u001b[0m传算法的CalculateFairnessScore和负载均衡机制\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:841:            _logger.LogInformation(\r\n\"⚖ 开始添加\u001b[7m公平\u001b[0m性约束...\");\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:847:            // \u001b[7m公平\u001b[0m性约束1：负载均\u001b[0m\r\n\u001b[7m\u001b[0m衡偏差计算\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:869:            // \u001b[7m公平\u001b[0m性约束2：最大负\u001b[0m\r\n\u001b[7m\u001b[0m载限制 - 防止极端不均衡\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:883:            // \u001b[7m公平\u001b[0m性约束3：最小人\u001b[0m\r\n\u001b[7m\u001b[0m员利用率约束 - 确保不会过度集中\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:917:            _logger.LogDebug(\"✅ \u001b[7m公\u001b[0m\r\n\u001b[7m平\u001b[0m性约束添加完成 - 约束数量：{ConstraintCount}，平均负载：{AvgWorkload:F2}，最大负载：{MaxWorkload:F2}，最小参与人数：{\u001b[0m\r\n\u001b[7m\u001b[0mMinParticipation}\", \u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:927:        /// 目标组成：基础评分 + 约\r\n束惩罚 + \u001b[7m公平\u001b[0m性奖励 + 业务优先级奖励\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:928:        /// 权重设计：约束满足(最高\r\n) > \u001b[7m公平\u001b[0m性(高) > 业务优化(中) > 其他因素(低)\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:947:            // 目标组件3：\u001b[7m公平\u001b[0m性奖\u001b[0m\r\n\u001b[7m\u001b[0m励 - 对应遗传算法的公平性评分\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1018:        /// 添加\u001b[7m公平\u001b[0m性奖励 - 对应\u001b[0m\r\n\u001b[7m\u001b[0m遗传算法的负载均衡评分\u001b[0m\r\n\r\n","metadata":{"exit_code":0,"duration_seconds":1.2}}


**Searching for fairness validation methods**


Select-String -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs" -Pattern "Validate"


Output: {"output":"\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:470:                        var conflic\r\nts = await _shiftRuleEngine.\u001b[7mValidate\u001b[0mShiftRulesWithEnhancedBatchContextAsync(\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1125:                var qualityMetrics\r\n = await \u001b[7mValidate\u001b[0mSolutionQuality(assignments, auxiliaryVars, context);\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1154:        private async Task<Solutio\r\nnQualityMetrics> \u001b[7mValidate\u001b[0mSolutionQuality(\u001b[0m\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1774:                        var confli\r\ncts = await _shiftRuleEngine.\u001b[7mValidate\u001b[0mShiftRulesWithEnhancedBatchContextAsync(\u001b[0m\r\n\r\n","metadata":{"exit_code":0,"duration_seconds":1.4}}


**Reviewing ValidateSolutionQuality implementation**


$content = Get-Content -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs"; $content[1080..1220]


Output: {"output":"\r\n        /// <summary>\r\n        /// 处理增强版求解器结果 - 包含完整的解析和验证逻辑\r\n        /// </summary>\r\n        private async Task<GlobalOptimizedSolution> ProcessEnhancedSolverResult(\r\n            Solver solver,\r\n            Dictionary<(long TaskId, long PersonnelId), Variable> decisionVars,\r\n            Dictionary<string, Variable> auxiliaryVars,\r\n            GlobalAllocationContext context,\r\n            Solver.ResultStatus resultStatus,\r\n            long elapsedMs)\r\n        {\r\n            var solution = new GlobalOptimizedSolution\r\n            {\r\n                ActualGenerations = 1 // 线性规划一次求解\r\n            };\r\n\r\n            _logger.LogInformation(\"📊 开始解析增强版线性规划结果 - 状态：{Status}，耗时：{ElapsedMs}ms\", \r\n                resultStatus, elapsedMs);\r\n\r\n            if (resultStatus == Solver.ResultStatus.OPTIMAL || resultStatus == Solver.ResultStatus.FEASIBLE)\r\n            {\r\n                var assignments = new Dictionary<long, long>();\r\n                var workloadDistribution = new Dictionary<long, decimal>();\r\n                var totalScore = 0.0;\r\n                var constraintViolations = new List<string>();\r\n\r\n                // 解析任务分配结果\r\n                foreach (var kvp in decisionVars)\r\n                {\r\n                    if (kvp.Value.SolutionValue() > 0.5) // 布尔变量阈值\r\n                    {\r\n                        var (taskId, personnelId) = kvp.Key;\r\n                        assignments[taskId] = personnelId;\r\n                        \r\n                        workloadDistribution[personnelId] = workloadDistribution.GetValueOrDefault(personnelId, 0) + 1;\r\n                        \r\n                        // 计算分配评分\r\n                        var assignmentScore = CalculateAssignmentScore(taskId, personnelId, context);\r\n                        totalScore += assignmentScore;\r\n                    }\r\n                }\r\n\r\n                // 验证解的质量\r\n                var qualityMetrics = await ValidateSolutionQuality(assignments, auxiliaryVars, context);\r\n                \r\n                solution.BestSolution = assignments;\r\n                solution.BestFitness = solver.Objective().Value();\r\n                solution.PersonnelWorkloadDistribution = workloadDistribution;\r\n                solution.ConstraintSatisfactionRate = qualityMetrics.ConstraintSatisfactionRate;\r\n                // solution.QualityMetrics = qualityMetrics; // 暂时注释，等待扩展GlobalOptimizedSolution\r\n\r\n                _logger.LogInformation(\"✅ 增强版线性规划求解成功 - 目标值：{ObjectiveValue:F2}，分配任务：{TaskCount}，使用人员：{PersonnelCount}，约束满足率：{SatisfactionRate:P2}\",\r\n                    solution.BestFitness, assignments.Count, workloadDistribution.Count, qualityMetrics.ConstraintSatisfactionRate);\r\n\r\n                // 详细的工作负载分析\r\n                LogWorkloadAnalysis(workloadDistribution, context.Tasks.Count, context.AvailablePersonnel.Count);\r\n            }\r\n            else\r\n            {\r\n                _logger.LogWarning(\"⚠ 增强版线性规划无解 - 状态：{Status}，可能原因：约束过于严格\", resultStatus);\r\n                solution.BestSolution = new Dictionary<long, long>();\r\n                solution.BestFitness = 0.0;\r\n                solution.ConstraintSatisfactionRate = 0.0;\r\n                // solution.ErrorMessage = $\"线性规划模型无解，状态：{resultStatus}\"; // 暂时注释，等待扩展GlobalOptimizedSolution\r\n            }\r\n\r\n            return solution;\r\n        }\r\n\r\n        /// <summary>\r\n        /// 验证解的质量 - 对应遗传算法的约束满足率计算\r\n        /// </summary>\r\n        private async Task<SolutionQualityMetrics> ValidateSolutionQuality(\r\n            Dictionary<long, long> assignments, \r\n            Dictionary<string, Variable> auxiliaryVars,\r\n            GlobalAllocationContext context)\r\n        {\r\n            await Task.CompletedTask;\r\n            \r\n            var metrics = new SolutionQualityMetrics();\r\n            var violationCount = 0;\r\n            var totalChecks = 0;\r\n\r\n            // 检查1：任务分配完整性\r\n            var completenessRate = assignments.Count > 0 ? (double)assignments.Count / context.Tasks.Count : 0.0;\r\n            metrics.TaskCompletenessRate = completenessRate;\r\n            if (completenessRate < 1.0) violationCount++;\r\n            totalChecks++;\r\n\r\n            // 检查2：时间冲突验证\r\n            var timeConflictCount = 0;\r\n            var personnelTimeSlots = assignments.GroupBy(a => a.Value)\r\n                .ToDictionary(g => g.Key, g => g.Select(kvp => \r\n                {\r\n                    var task = context.Tasks.First(t => t.Id == kvp.Key);\r\n                    return new { Task = task, Date = task.WorkOrderDate.Date, ShiftId = task.ShiftId };\r\n                }).ToList());\r\n\r\n            foreach (var kvp in personnelTimeSlots)\r\n            {\r\n                var timeGroups = kvp.Value.GroupBy(t => new { t.Date, t.ShiftId });\r\n                foreach (var timeGroup in timeGroups)\r\n                {\r\n                    if (timeGroup.Count() > 1)\r\n                    {\r\n                        timeConflictCount += timeGroup.Count() - 1;\r\n                    }\r\n                }\r\n                totalChecks++;\r\n            }\r\n\r\n            metrics.TimeConflictRate = totalChecks > 0 ? (double)timeConflictCount / totalChecks : 0.0;\r\n            if (timeConflictCount > 0) violationCount++;\r\n\r\n            // 检查3：负载均衡评估\r\n            if (assignments.Any())\r\n            {\r\n                var workloadValues = personnelTimeSlots.Values.Select(v => (decimal)v.Count).ToList();\r\n                var giniCoefficient = CalculateGiniCoefficient(workloadValues);\r\n                metrics.LoadBalanceScore = Math.Max(0.0, 1.0 - giniCoefficient);\r\n                \r\n                var utilizationRate = (double)personnelTimeSlots.Count / context.AvailablePersonnel.Count;\r\n                metrics.PersonnelUtilizationRate = utilizationRate;\r\n            }\r\n\r\n            // 综合约束满足率\r\n            metrics.ConstraintSatisfactionRate = totalChecks > 0 ? \r\n                Math.Max(0.0, 1.0 - (double)violationCount / totalChecks) : 1.0;\r\n\r\n            return metrics;\r\n        }\r\n\r\n        /// <summary>\r\n        /// 记录详细的工作负载分析日志\r\n        /// </summary>\r\n        private void LogWorkloadAnalysis(Dictionary<long, decimal> workloadDistribution, int totalTasks, int totalPersonnel)\r\n        {\r\n            if (!workloadDistribution.Any()) return;\r\n\r\n            var workloads = workloadDistribution.Values.ToList();\r\n","metadata":{"exit_code":0,"duration_seconds":1.2}}


**Analyzing fairness validation rules**


Select-String -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs" -Pattern "Gini" -Context 0,5


Output: {"output":"\r\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1200:                var \u001b[7mgini\u001b[0mCoeffici\u001b[0m\r\n\u001b[7m\u001b[0ment = CalculateGiniCoefficient(workloadValues);\u001b[0m\r\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1201:                metrics.LoadBala\r\nnceScore = Math.Max(0.0, 1.0 - \u001b[7mgini\u001b[0mCoefficient);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1202:                \u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1203:                var utilizationR\u001b[0m\r\n\u001b[7m\u001b[0mate = (double)personnelTimeSlots.Count / context.AvailablePersonnel.Count;\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1204:                metrics.Personne\u001b[0m\r\n\u001b[7m\u001b[0mlUtilizationRate = utilizationRate;\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1205:            }\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1206:\u001b[0m\r\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1227:            _logger.LogInformati\r\non(\"📈 工作负载分析 - 平均：{Avg:F2}，最大：{Max}，最小：{Min}，人员利用率：{Util:P2}，基尼系数：{\u001b[7mGini\u001b[0m:F4}\", \u001b[0m\r\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1228:                avgWorkload, max\r\nWorkload, minWorkload, utilizationRate, Calculate\u001b[7mGini\u001b[0mCoefficient(workloads));\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1229:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1230:            // 详细分布统计\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1231:            var distributionLog \u001b[0m\r\n\u001b[7m\u001b[0m= string.Join(\", \", \u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1232:                workloadDistribu\u001b[0m\r\n\u001b[7m\u001b[0mtion.OrderBy(kv => kv.Key)\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1233:                                \u001b[0m\r\n\u001b[7m\u001b[0m  .Select(kv => $\"人员{kv.Key}:{kv.Value}任务\"));\u001b[0m\r\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1692:        private double Calculate\r\n\u001b[7mGini\u001b[0mCoefficient(List<decimal> values)\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1693:        {\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1694:            if (!values.Any()) r\u001b[0m\r\n\u001b[7m\u001b[0meturn 0;\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1695:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1696:            var n = values.Count\u001b[0m\r\n\u001b[7m\u001b[0m;\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1697:            var sortedValues = v\u001b[0m\r\n\u001b[7m\u001b[0malues.OrderBy(x => x).ToArray();\u001b[0m\r\n\r\n","metadata":{"exit_code":0,"duration_seconds":1.1}}


**Investigating fairness validation methods**


$content = Get-Content -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs"; $content[1670..1760]


Output: {"output":"        {\r\n            var prefilterKey = $\"{taskId}_{personnelId}\";\r\n            var baseScore = 100.0;\r\n            \r\n            if (context.PrefilterResults.TryGetValue(prefilterKey, out var result))\r\n            {\r\n                baseScore = result.PrefilterScore;\r\n            }\r\n            \r\n            var task = context.Tasks.FirstOrDefault(t => t.Id == taskId);\r\n            if (task != null)\r\n            {\r\n                baseScore += CalculateSkillMatchingBonus(task, personnelId, context);\r\n            }\r\n            \r\n            return baseScore;\r\n        }\r\n\r\n        /// <summary>\r\n        /// 计算基尼系数\r\n        /// </summary>\r\n        private double CalculateGiniCoefficient(List<decimal> values)\r\n        {\r\n            if (!values.Any()) return 0;\r\n\r\n            var n = values.Count;\r\n            var sortedValues = values.OrderBy(x => x).ToArray();\r\n\r\n            double numerator = 0;\r\n            for (int i = 0; i < n; i++)\r\n            {\r\n                numerator += (2 * (i + 1) - n - 1) * (double)sortedValues[i];\r\n            }\r\n\r\n            var mean = values.Average(x => (double)x);\r\n            return mean == 0 ? 0 : numerator / (n * n * mean);\r\n        }\r\n\r\n        /// <summary>\r\n        /// 创建失败解决方案\r\n        /// </summary>\r\n        private GlobalOptimizedSolution CreateFailureSolution(string errorMessage, long elapsedMs)\r\n        {\r\n            return new GlobalOptimizedSolution\r\n            {\r\n                BestSolution = new Dictionary<long, long>(),\r\n                BestFitness = 0.0,\r\n                ActualGenerations = 0,\r\n                ConstraintSatisfactionRate = 0.0\r\n            };\r\n        }\r\n\r\n        #endregion\r\n\r\n        #region 增强版批次感知验证支持方法\r\n\r\n        /// <summary>\r\n        /// 【Ultra think核心方法】执行批次感知验证 - 真正解决当前分配组合+历史验证问题\r\n        /// 【深度业务思考】：对每个人员的所有可能任务组合进行交叉验证\r\n        /// 【架构创新】：从单任务+历史模式升级为批次组合+历史的全面验证模式\r\n        /// </summary>\r\n        private async Task<Dictionary<long, List<string>>> ExecuteBatchAwareValidationAsync(\r\n            long personnelId,\r\n            List<WorkOrderEntity> possibleTasks,\r\n            GlobalAllocationContext context,\r\n            PersonnelTaskMatrix matrix)\r\n        {\r\n            var validationResults = new Dictionary<long, List<string>>();\r\n            \r\n            try\r\n            {\r\n                // 【步骤1】获取该人员的历史任务作为验证基线\r\n                context.PersonnelHistoryTasks.TryGetValue(personnelId, out var historyTasks);\r\n                var baselineTasks = historyTasks?.Select(h => new WorkOrderEntity\r\n                {\r\n                    Id = h.TaskId,\r\n                    WorkOrderDate = h.WorkDate,\r\n                    ShiftId = h.ShiftId,\r\n                    ShiftName = h.ShiftName,\r\n                    WorkOrderCode = h.TaskCode,\r\n                    ProjectNumber = h.ProjectNumber,\r\n                    Status = h.Status\r\n                }).ToList() ?? new List<WorkOrderEntity>();\r\n\r\n                // 【步骤2】为每个可能的任务构建批次感知验证上下文\r\n                foreach (var candidateTask in possibleTasks)\r\n                {\r\n                    var violations = new List<string>();\r\n                    \r\n                    // 【核心创新】构建当前批次的模拟分配上下文\r\n                    var batchSimulationContext = BuildBatchSimulationContext(\r\n","metadata":{"exit_code":0,"duration_seconds":1.0}}


**Analyzing fairness validation in optimization**


$content = Get-Content -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs"; $content[930..1060]


Output: {"output":"            Solver solver,\r\n            Dictionary<(long TaskId, long PersonnelId), Variable> decisionVars,\r\n            Dictionary<string, Variable> auxiliaryVars,\r\n            GlobalAllocationContext context)\r\n        {\r\n            var objective = solver.Objective();\r\n            objective.SetMaximization();\r\n            \r\n            _logger.LogInformation(\"🎯 构建增强版多维度目标函数...\");\r\n\r\n            // 目标组件1：基础分配评分 - 基于预筛选结果的质量评分\r\n            AddBaseAssignmentScore(objective, decisionVars, context);\r\n\r\n            // 目标组件2：约束违规惩罚 - 对应遗传算法的约束评分\r\n            AddConstraintViolationPenalties(objective, auxiliaryVars, context);\r\n\r\n            // 目标组件3：公平性奖励 - 对应遗传算法的公平性评分\r\n            AddFairnessRewards(objective, auxiliaryVars, context);\r\n\r\n            // 目标组件4：业务优先级奖励 - 对应遗传算法的业务逻辑优化\r\n            //AddBusinessPriorityRewards(objective, decisionVars, auxiliaryVars, context);\r\n\r\n            _logger.LogInformation(\"✅ 增强版目标函数构建完成，包含4大评分维度\");\r\n        }\r\n\r\n        /// <summary>\r\n        /// 添加基础分配评分 - 基于预筛选结果和任务-人员匹配质量\r\n        /// </summary>\r\n        private void AddBaseAssignmentScore(\r\n            Objective objective,\r\n            Dictionary<(long TaskId, long PersonnelId), Variable> decisionVars,\r\n            GlobalAllocationContext context)\r\n        {\r\n            foreach (var kvp in decisionVars)\r\n            {\r\n                var (taskId, personnelId) = kvp.Key;\r\n                var variable = kvp.Value;\r\n                \r\n                // 基础评分：基于预筛选结果\r\n                var prefilterKey = $\"{taskId}_{personnelId}\";\r\n                var baseScore = 100.0; // 默认基础分\r\n                \r\n                if (context.PrefilterResults.TryGetValue(prefilterKey, out var prefilterResult))\r\n                {\r\n                    baseScore = Math.Max(baseScore, prefilterResult.PrefilterScore * 2); // 放大预筛选评分的影响\r\n                }\r\n                \r\n                // 技能匹配奖励\r\n                var task = context.Tasks.FirstOrDefault(t => t.Id == taskId);\r\n                if (task != null)\r\n                {\r\n                    var skillBonus = CalculateSkillMatchingBonus(task, personnelId, context);\r\n                    baseScore += skillBonus;\r\n                }\r\n                \r\n                objective.SetCoefficient(variable, baseScore);\r\n            }\r\n        }\r\n\r\n        /// <summary>\r\n        /// 添加约束违规惩罚 - 对应遗传算法的三级约束惩罚机制\r\n        /// </summary>\r\n        private void AddConstraintViolationPenalties(\r\n            Objective objective,\r\n            Dictionary<string, Variable> auxiliaryVars,\r\n            GlobalAllocationContext context)\r\n        {\r\n            // Level 1惩罚：时间冲突严厉惩罚\r\n            foreach (var kvp in auxiliaryVars.Where(v => v.Key.StartsWith(\"conflict_\")))\r\n            {\r\n                objective.SetCoefficient(kvp.Value, -LEVEL1_CONSTRAINT_PENALTY);\r\n            }\r\n\r\n            // Level 2惩罚：班次规则违规重度惩罚\r\n            // foreach (var kvp in auxiliaryVars.Where(v => v.Key.StartsWith(\"shift_violation_\")))\r\n            // {\r\n            //     objective.SetCoefficient(kvp.Value, -LEVEL2_CONSTRAINT_PENALTY);\r\n            // }\r\n\r\n            // Level 3惩罚：业务逻辑违规中度惩罚\r\n            // foreach (var kvp in auxiliaryVars.Where(v => v.Key.StartsWith(\"fl_violation_\")))\r\n            // {\r\n            //     objective.SetCoefficient(kvp.Value, -LEVEL3_CONSTRAINT_PENALTY);\r\n            // }\r\n        }\r\n\r\n        /// <summary>\r\n        /// 添加公平性奖励 - 对应遗传算法的负载均衡评分\r\n        /// </summary>\r\n        private void AddFairnessRewards(\r\n            Objective objective,\r\n            Dictionary<string, Variable> auxiliaryVars,\r\n            GlobalAllocationContext context)\r\n        {\r\n            // 负载均衡奖励：减少偏差获得奖励\r\n            // foreach (var kvp in auxiliaryVars.Where(v => v.Key.StartsWith(\"pos_dev_\") || v.Key.StartsWith(\"neg_dev_\")))\r\n            // {\r\n            //     // 偏差越小，奖励越多（通过负的偏差系数实现）\r\n            //     objective.SetCoefficient(kvp.Value, -FAIRNESS_REWARD_FACTOR);\r\n            // }\r\n        }\r\n\r\n        /// <summary>\r\n        /// 添加业务优先级奖励 - 对应遗传算法的业务规则优化\r\n        /// </summary>\r\n        private void AddBusinessPriorityRewards(\r\n            Objective objective,\r\n            Dictionary<(long TaskId, long PersonnelId), Variable> decisionVars,\r\n            Dictionary<string, Variable> auxiliaryVars,\r\n            GlobalAllocationContext context)\r\n        {\r\n            // FL优先级奖励\r\n            foreach (var task in context.Tasks)\r\n            {\r\n                var taskFLPersonnel = task.WorkOrderFLPersonnels?\r\n                    .Select(fl => fl.FLPersonnelId)\r\n                    .Where(flId => context.AvailablePersonnel.Any(p => p.Id == flId))\r\n                    .ToList() ?? new List<long>();\r\n\r\n                if (taskFLPersonnel.Any())\r\n                {\r\n                    foreach (var flPersonnelId in taskFLPersonnel)\r\n                    {\r\n                        if (decisionVars.ContainsKey((task.Id, flPersonnelId)))\r\n                        {\r\n                            // FL人员执行本项目任务获得奖励\r\n                            objective.SetCoefficient(decisionVars[(task.Id, flPersonnelId)], 500.0);\r\n                        }\r\n                    }\r\n                }\r\n            }\r\n","metadata":{"exit_code":0,"duration_seconds":1.1}}


Summary: auto


**Preparing fairness analysis references**

I'm gathering actual line numbers for key fairness validation code—especially around fairness constraints and metrics like the Gini coefficient—so I can produce a clear, referenced summary that highlights fairness checks within OptimizeAsync and ValidateSolutionQuality.


Select-String -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs" -Pattern "AddFairnessConstraints" -Context 0,40 | ForEach-Object { $_ }


Output: {"output":"\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:79:                \u001b[7mAddFairnessConstra\u001b[0m\n\u001b[7mints\u001b[0m(solver, decisionVariables, auxiliaryVariables, context);\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:80:\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:81:                // 第八步：设置多\u001b[0m\n\u001b[7m\u001b[0m维度目标函数 - 对应遗传算法的适应度函数\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:82:                SetEnhancedObjecti\u001b[0m\n\u001b[7m\u001b[0mveFunction(solver, decisionVariables, auxiliaryVariables, context);\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:83:\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:84:                // 第九步：执行求\u001b[0m\n\u001b[7m\u001b[0m解\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:85:                _logger.LogInforma\u001b[0m\n\u001b[7m\u001b[0mtion(\"🔍 开始求解增强版线性规划模型...\");\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:86:                var resultStatus =\u001b[0m\n\u001b[7m\u001b[0m solver.Solve();\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:87:                \u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:88:                stopwatch.Stop();\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:89:                \u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:90:                // 第十步：解析和\u001b[0m\n\u001b[7m\u001b[0m验证结果\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:91:                var solution = awa\u001b[0m\n\u001b[7m\u001b[0mit ProcessEnhancedSolverResult(solver, decisionVariables, auxiliaryVariables, \u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:92:                    context, resul\u001b[0m\n\u001b[7m\u001b[0mtStatus, stopwatch.ElapsedMilliseconds);\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:93:                \u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:94:                return solution;\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:95:            }\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:96:            catch (Exception ex)\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:97:            {\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:98:                stopwatch.Stop();\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:99:                _logger.LogError(e\u001b[0m\n\u001b[7m\u001b[0mx, \"💥 增强版线性规划优化异常，耗时：{ElapsedMs}ms\", stopwatch.ElapsedMilliseconds);\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:100:                \u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:101:                return CreateFail\u001b[0m\n\u001b[7m\u001b[0mureSolution(ex.Message, stopwatch.ElapsedMilliseconds);\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:102:            }\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:103:        }\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:104:\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:105:        #region 求解器和变量构建\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:106:\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:107:        /// <summary>\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:108:        /// 创建高性能求解器 - 支\u001b[0m\n\u001b[7m\u001b[0m持大规模约束优化\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:109:        /// </summary>\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:110:        private Solver CreateAdva\u001b[0m\n\u001b[7m\u001b[0mncedSolver()\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:111:        {\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:112:            var solver = Solver.C\u001b[0m\n\u001b[7m\u001b[0mreateSolver(SOLVER_TYPE)\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:113:                ?? throw new Inva\u001b[0m\n\u001b[7m\u001b[0mlidOperationExcep\n[... omitted 0 of 131 lines ...]\n\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:873:                var workloadVarKe\u001b[0m\n\u001b[7m\u001b[0my = $\"workload_{personnel.Id}\";\u001b[0m\n","metadata":{"exit_code":0,"duration_seconds":1.3}}


**Identifying line numbers for fairness constraints**


$i=1; Get-Content -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs" | ForEach-Object { "{0,6}: {1}" -f $i, $_; $i++ } | Select-Object -Index 835..915


Output: {"output":"\u001b[31;1mSelect-Object: \u001b[31;1mCannot bind parameter 'Index'. Cannot convert value \"835..915\" to type \"System.Int32\". Error: \"The input string '835..915' was not in a correct format.\"\u001b[0m\r\n","metadata":{"exit_code":1,"duration_seconds":1.4}}


**Adjusting PowerShell object selection approach**


$i=1; $content = Get-Content -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs" | ForEach-Object { [PSCustomObject]@{Line=$i; Text=$_}; $i++ }; $content | Where-Object { $_.Line -ge 835 -and $_.Line -le 915 }


Output: {"output":"\r\n\u001b[32;1mLine\u001b[0m\u001b[32;1m Text\u001b[0m\r\n\u001b[32;1m----\u001b[0m \u001b[32;1m----\u001b[0m\r\n 835             Dictionary<(long TaskId, long PersonnelId), Variable> decisionVars,\r\n 836             Dictionary<string, Variable> auxiliaryVars,\r\n 837             GlobalAllocationContext context)\r\n 838         {\r\n 839             var constraintCount = 0;\r\n 840             \r\n 841             _logger.LogInformation(\"⚖ 开始添加公平性约束...\");\r\n 842 \r\n 843             var totalTasks = context.Tasks.Count;\r\n 844             var totalPersonnel = context.AvailablePersonnel.Count;\r\n 845             var avgWorkload = (double)totalTasks / totalPersonnel;\r\n 846 \r\n 847             // 公平性约束1：负载均衡偏差计算\r\n 848             foreach (var personnel in context.AvailablePersonnel)\r\n 849             {\r\n 850                 var workloadVarKey = $\"workload_{personnel.Id}\";\r\n 851                 var posDevVarKey = $\"pos_dev_{personnel.Id}\";\r\n 852                 var negDevVarKey = $\"neg_dev_{personnel.Id}\";\r\n 853 \r\n 854                 if (auxiliaryVars.ContainsKey(workloadVarKey) && \r\n 855                     auxiliaryVars.ContainsKey(posDevVarKey) && \r\n 856                     auxiliaryVars.ContainsKey(negDevVarKey))\r\n 857                 {\r\n 858                     // 约束：workload = avgWorkload + pos_deviation - neg_deviation\r\n 859                     var balanceConstraint = solver.MakeConstraint(avgWorkload, avgWorkload, \r\n 860                         $\"load_balance_{personnel.Id}\");\r\n 861                     \r\n 862                     balanceConstraint.SetCoefficient(auxiliaryVars[workloadVarKey], 1);\r\n 863                     balanceConstraint.SetCoefficient(auxiliaryVars[posDevVarKey], -1);\r\n 864                     balanceConstraint.SetCoefficient(auxiliaryVars[negDevVarKey], 1);\r\n 865                     constraintCount++;\r\n 866                 }\r\n 867             }\r\n 868 \r\n 869             // 公平性约束2：最大负载限制 - 防止极端不均衡\r\n 870             var maxReasonableWorkload = Math.Ceiling(avgWorkload * 1.5);\r\n 871             foreach (var personnel in context.AvailablePersonnel)\r\n 872             {\r\n 873                 var workloadVarKey = $\"workload_{personnel.Id}\";\r\n 874                 if (auxiliaryVars.ContainsKey(workloadVarKey))\r\n 875                 {\r\n 876                     var constraint = solver.MakeConstraint(0, maxReasonableWorkload, \r\n 877                         $\"max_workload_{personnel.Id}\");\r\n 878                     constraint.SetCoefficient(auxiliaryVars[workloadVarKey], 1);\r\n 879                     constraintCount++;\r\n 880                 }\r\n 881             }\r\n 882 \r\n 883             // 公平性约束3：最小人员利用率约束 - 确保不会过度集中\r\n 884             var minPersonnelUtilization = totalTasks > 10 ? Math.Max(3, totalPersonnel * 0.4) : 2;\r\n 885             \r\n 886             // 创建人员参与指示变量\r\n 887             var participationVars = new List<Variable>();\r\n 888             foreach (var personnel in context.AvailablePersonnel)\r\n 889             {\r\n 890                 var participationVar = solver.MakeBoolVar($\"participation_{personnel.Id}\");\r\n 891                 participationVars.Add(participationVar);\r\n 892                 \r\n 893                 // 如果人员参与，则至少分配1个任务\r\n 894                 var constraint = solver.MakeConstraint(0, double.PositiveInfinity, \r\n 895                     $\"participation_min_{personnel.Id}\");\r\n 896                 \r\n 897                 constraint.SetCoefficient(participationVar, -1);\r\n 898                 \r\n 899                 var personnelTasks = decisionVars.Where(v => v.Key.PersonnelId == personnel.Id);\r\n 900                 foreach (var kvp in personnelTasks)\r\n 901                 {\r\n 902                     constraint.SetCoefficient(kvp.Value, 1);\r\n 903                 }\r\n 904                 constraintCount++;\r\n 905             }\r\n 906             \r\n 907             // 最小参与人数约束\r\n 908             var minParticipationConstraint = solver.MakeConstraint(minPersonnelUtilization, double.PositiveInfini…\r\n 909                 \"min_personnel_utilization\");\r\n 910             \r\n 911             foreach (var participationVar in participationVars)\r\n 912             {\r\n 913                 minParticipationConstraint.SetCoefficient(participationVar, 1);\r\n 914             }\r\n 915             constraintCount++;\r\n\r\n","metadata":{"exit_code":0,"duration_seconds":1.3}}


**Extending snippet capture**


$i=1; $content = Get-Content -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs" | ForEach-Object { [PSCustomObject]@{Line=$i; Text=$_}; $i++ }; $content | Where-Object { $_.Line -ge 916 -and $_.Line -le 930 }


Output: {"output":"\r\n\u001b[32;1mLine\u001b[0m\u001b[32;1m Text\u001b[0m\r\n\u001b[32;1m----\u001b[0m \u001b[32;1m----\u001b[0m\r\n 916 \r\n 917             _logger.LogDebug(\"✅ 公平性约束添加完成 - 约束数量：{ConstraintCount}，平均负载：{AvgWorkload:F2}，最…\r\n 918                 constraintCount, avgWorkload, maxReasonableWorkload, minPersonnelUtilization);\r\n 919         }\r\n 920 \r\n 921         #endregion\r\n 922 \r\n 923         #region 目标函数 - 对应遗传算法适应度函数\r\n 924 \r\n 925         /// <summary>\r\n 926         /// 设置增强版目标函数 - 对应遗传算法的多维度适应度评估\r\n 927         /// 目标组成：基础评分 + 约束惩罚 + 公平性奖励 + 业务优先级奖励\r\n 928         /// 权重设计：约束满足(最高) > 公平性(高) > 业务优化(中) > 其他因素(低)\r\n 929         /// </summary>\r\n 930         private void SetEnhancedObjectiveFunction(\r\n\r\n","metadata":{"exit_code":0,"duration_seconds":1.2}}


**Noting fairness reward and check updates**


$i=1; $content = Get-Content -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs" | ForEach-Object { [PSCustomObject]@{Line=$i; Text=$_}; $i++ }; $content | Where-Object { $_.Line -ge 1115 -and $_.Line -le 1220 }


Output: {"output":"\r\n\u001b[32;1mLine\u001b[0m\u001b[32;1m Text\u001b[0m\r\n\u001b[32;1m----\u001b[0m \u001b[32;1m----\u001b[0m\r\n1115                         \r\n1116                         workloadDistribution[personnelId] = workloadDistribution.GetValueOrDefault(personnelId, 0…\r\n1117                         \r\n1118                         // 计算分配评分\r\n1119                         var assignmentScore = CalculateAssignmentScore(taskId, personnelId, context);\r\n1120                         totalScore += assignmentScore;\r\n1121                     }\r\n1122                 }\r\n1123 \r\n1124                 // 验证解的质量\r\n1125                 var qualityMetrics = await ValidateSolutionQuality(assignments, auxiliaryVars, context);\r\n1126                 \r\n1127                 solution.BestSolution = assignments;\r\n1128                 solution.BestFitness = solver.Objective().Value();\r\n1129                 solution.PersonnelWorkloadDistribution = workloadDistribution;\r\n1130                 solution.ConstraintSatisfactionRate = qualityMetrics.ConstraintSatisfactionRate;\r\n1131                 // solution.QualityMetrics = qualityMetrics; // 暂时注释，等待扩展GlobalOptimizedSolution\r\n1132 \r\n1133                 _logger.LogInformation(\"✅ 增强版线性规划求解成功 - 目标值：{ObjectiveValue:F2}，分配任务：{TaskCo…\r\n1134                     solution.BestFitness, assignments.Count, workloadDistribution.Count, qualityMetrics.Constrain…\r\n1135 \r\n1136                 // 详细的工作负载分析\r\n1137                 LogWorkloadAnalysis(workloadDistribution, context.Tasks.Count, context.AvailablePersonnel.Count);\r\n1138             }\r\n1139             else\r\n1140             {\r\n1141                 _logger.LogWarning(\"⚠ 增强版线性规划无解 - 状态：{Status}，可能原因：约束过于严格\", resultStatus…\r\n1142                 solution.BestSolution = new Dictionary<long, long>();\r\n1143                 solution.BestFitness = 0.0;\r\n1144                 solution.ConstraintSatisfactionRate = 0.0;\r\n1145                 // solution.ErrorMessage = $\"线性规划模型无解，状态：{resultStatus}\"; // 暂时注释，等待扩展Global…\r\n1146             }\r\n1147 \r\n1148             return solution;\r\n1149         }\r\n1150 \r\n1151         /// <summary>\r\n1152         /// 验证解的质量 - 对应遗传算法的约束满足率计算\r\n1153         /// </summary>\r\n1154         private async Task<SolutionQualityMetrics> ValidateSolutionQuality(\r\n1155             Dictionary<long, long> assignments, \r\n1156             Dictionary<string, Variable> auxiliaryVars,\r\n1157             GlobalAllocationContext context)\r\n1158         {\r\n1159             await Task.CompletedTask;\r\n1160             \r\n1161             var metrics = new SolutionQualityMetrics();\r\n1162             var violationCount = 0;\r\n1163             var totalChecks = 0;\r\n1164 \r\n1165             // 检查1：任务分配完整性\r\n1166             var completenessRate = assignments.Count > 0 ? (double)assignments.Count / context.Tasks.Count : 0.0;\r\n1167             metrics.TaskCompletenessRate = completenessRate;\r\n1168             if (completenessRate < 1.0) violationCount++;\r\n1169             totalChecks++;\r\n1170 \r\n1171             // 检查2：时间冲突验证\r\n1172             var timeConflictCount = 0;\r\n1173             var personnelTimeSlots = assignments.GroupBy(a => a.Value)\r\n1174                 .ToDictionary(g => g.Key, g => g.Select(kvp => \r\n1175                 {\r\n1176                     var task = context.Tasks.First(t => t.Id == kvp.Key);\r\n1177                     return new { Task = task, Date = task.WorkOrderDate.Date, ShiftId = task.ShiftId };\r\n1178                 }).ToList());\r\n1179 \r\n1180             foreach (var kvp in personnelTimeSlots)\r\n1181             {\r\n1182                 var timeGroups = kvp.Value.GroupBy(t => new { t.Date, t.ShiftId });\r\n1183                 foreach (var timeGroup in timeGroups)\r\n1184                 {\r\n1185                     if (timeGroup.Count() > 1)\r\n1186                     {\r\n1187                         timeConflictCount += timeGroup.Count() - 1;\r\n1188                     }\r\n1189                 }\r\n1190                 totalChecks++;\r\n1191             }\r\n1192 \r\n1193             metrics.TimeConflictRate = totalChecks > 0 ? (double)timeConflictCount / totalChecks : 0.0;\r\n1194             if (timeConflictCount > 0) violationCount++;\r\n1195 \r\n1196             // 检查3：负载均衡评估\r\n1197             if (assignments.Any())\r\n1198             {\r\n1199                 var workloadValues = personnelTimeSlots.Values.Select(v => (decimal)v.Count).ToList();\r\n1200                 var giniCoefficient = CalculateGiniCoefficient(workloadValues);\r\n1201                 metrics.LoadBalanceScore = Math.Max(0.0, 1.0 - giniCoefficient);\r\n1202                 \r\n1203                 var utilizationRate = (double)personnelTimeSlots.Count / context.AvailablePersonnel.Count;\r\n1204                 metrics.PersonnelUtilizationRate = utilizationRate;\r\n1205             }\r\n1206 \r\n1207             // 综合约束满足率\r\n1208             metrics.ConstraintSatisfactionRate = totalChecks > 0 ? \r\n1209                 Math.Max(0.0, 1.0 - (double)violationCount / totalChecks) : 1.0;\r\n1210 \r\n1211             return metrics;\r\n1212         }\r\n1213 \r\n1214         /// <summary>\r\n1215         /// 记录详细的工作负载分析日志\r\n1216         /// </summary>\r\n1217         private void LogWorkloadAnalysis(Dictionary<long, decimal> workloadDistribution, int totalTasks, int tota…\r\n1218         {\r\n1219             if (!workloadDistribution.Any()) return;\r\n1220 \r\n\r\n","metadata":{"exit_code":0,"duration_seconds":1.3}}


**Retrieving fairness evaluation log lines**


$i=1; $content = Get-Content -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs" | ForEach-Object { [PSCustomObject]@{Line=$i; Text=$_}; $i++ }; $content | Where-Object { $_.Line -ge 1221 -and $_.Line -le 1240 }


Output: {"output":"\r\n\u001b[32;1mLine\u001b[0m\u001b[32;1m Text\u001b[0m\r\n\u001b[32;1m----\u001b[0m \u001b[32;1m----\u001b[0m\r\n1221             var workloads = workloadDistribution.Values.ToList();\r\n1222             var avgWorkload = workloads.Average(w => (double)w);\r\n1223             var maxWorkload = workloads.Max();\r\n1224             var minWorkload = workloads.Min();\r\n1225             var utilizationRate = (double)workloadDistribution.Count / totalPersonnel;\r\n1226 \r\n1227             _logger.LogInformation(\"📈 工作负载分析 - 平均：{Avg:F2}，最大：{Max}，最小：{Min}，人员利用率：{Util…\r\n1228                 avgWorkload, maxWorkload, minWorkload, utilizationRate, CalculateGiniCoefficient(workloads));\r\n1229 \r\n1230             // 详细分布统计\r\n1231             var distributionLog = string.Join(\", \", \r\n1232                 workloadDistribution.OrderBy(kv => kv.Key)\r\n1233                                   .Select(kv => $\"人员{kv.Key}:{kv.Value}任务\"));\r\n1234             \r\n1235             _logger.LogDebug(\"📊 详细负载分布：{Distribution}\", distributionLog);\r\n1236         }\r\n1237 \r\n1238         #endregion\r\n1239 \r\n1240         #region ShiftRuleValidationEngine集成辅助方法\r\n\r\n","metadata":{"exit_code":0,"duration_seconds":1.2}}


**Reviewing fairness check implementation**


$i=1; $content = Get-Content -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs" | ForEach-Object { [PSCustomObject]@{Line=$i; Text=$_}; $i++ }; $content | Where-Object { $_.Line -ge 180 -and $_.Line -le 260 }


Output: {"output":"\r\n\u001b[32;1mLine\u001b[0m\u001b[32;1m Text\u001b[0m\r\n\u001b[32;1m----\u001b[0m \u001b[32;1m----\u001b[0m\r\n 180                     {\r\n 181                         // 【Ultra think优化3】无预筛选数据时的保守策略\r\n 182                         // 即使无预筛选数据，但已通过不可用性检查，仍创建变量\r\n 183                         var variableName = $\"x_{task.Id}_{personnel.Id}\";\r\n 184                         var variable = solver.MakeBoolVar(variableName);\r\n 185                         variables[(task.Id, personnel.Id)] = variable;\r\n 186                         createdCount++;\r\n 187                     }\r\n 188                 }\r\n 189             }\r\n 190 \r\n 191             _logger.LogDebug(\"📊 【增强版】决策变量构建统计 - 创建：{Created}个，跳过：{Skipped}个（不可用性：{Un…\r\n 192                 createdCount, skippedCount, unavailabilitySkippedCount, \r\n 193                 (double)createdCount / (createdCount + skippedCount),\r\n 194                 (double)unavailabilitySkippedCount / (createdCount + skippedCount));\r\n 195 \r\n 196             return variables;\r\n 197         }\r\n 198 \r\n 199         /// <summary>\r\n 200         /// 构建辅助变量 - 支持复杂约束的线性化建模\r\n 201         /// 包含：负载均衡变量、时间冲突指示变量、班次规则违规变量等\r\n 202         /// </summary>\r\n 203         private Dictionary<string, Variable> BuildAuxiliaryVariables(\r\n 204             Solver solver, GlobalAllocationContext context, \r\n 205             Dictionary<(long TaskId, long PersonnelId), Variable> decisionVariables)\r\n 206         {\r\n 207             var auxiliaryVars = new Dictionary<string, Variable>();\r\n 208 \r\n 209             // 1. 人员工作负载变量 (连续变量，表示每个人员的任务数量)\r\n 210             foreach (var personnel in context.AvailablePersonnel)\r\n 211             {\r\n 212                 var workloadVar = solver.MakeIntVar(0, context.Tasks.Count, $\"workload_{personnel.Id}\");\r\n 213                 auxiliaryVars[$\"workload_{personnel.Id}\"] = workloadVar;\r\n 214             }\r\n 215 \r\n 216             // 2. 负载均衡偏差变量 (支持公平性目标建模)\r\n 217             var avgWorkload = (double)context.Tasks.Count / context.AvailablePersonnel.Count;\r\n 218             foreach (var personnel in context.AvailablePersonnel)\r\n 219             {\r\n 220                 // 正偏差变量 (超出平均负载的部分)\r\n 221                 var posDeviationVar = solver.MakeNumVar(0, context.Tasks.Count, $\"pos_dev_{personnel.Id}\");\r\n 222                 auxiliaryVars[$\"pos_dev_{personnel.Id}\"] = posDeviationVar;\r\n 223                 \r\n 224                 // 负偏差变量 (低于平均负载的部分)\r\n 225                 var negDeviationVar = solver.MakeNumVar(0, avgWorkload, $\"neg_dev_{personnel.Id}\");\r\n 226                 auxiliaryVars[$\"neg_dev_{personnel.Id}\"] = negDeviationVar;\r\n 227             }\r\n 228 \r\n 229             // 3. 时间冲突指示变量 (二进制变量，标识是否存在时间冲突)\r\n 230             var timeSlots = context.Tasks.Select(t => new { Date = t.WorkOrderDate.Date })\r\n 231                                          .Distinct().ToList();\r\n 232             \r\n 233             foreach (var personnel in context.AvailablePersonnel)\r\n 234             {\r\n 235                 foreach (var timeSlot in timeSlots)\r\n 236                 {\r\n 237                     var conflictVar = solver.MakeBoolVar($\"conflict_{personnel.Id}_{timeSlot.Date:yyyyMMdd}\");\r\n 238                     auxiliaryVars[$\"conflict_{personnel.Id}_{timeSlot.Date:yyyyMMdd}\"] = conflictVar;\r\n 239                 }\r\n 240             }\r\n 241 \r\n 242             /*// 4. 班次规则违规变量 (支持复杂班次规则的线性化)\r\n 243             foreach (var personnel in context.AvailablePersonnel)\r\n 244             {\r\n 245                 // 二班/三班后休息规则违规变量\r\n 246                 var shiftRuleViolationVar = solver.MakeIntVar(0, context.Tasks.Count, $\"shift_violation_{personne…\r\n 247                 auxiliaryVars[$\"shift_violation_{personnel.Id}\"] = shiftRuleViolationVar;\r\n 248             }\r\n 249 \r\n 250             // 5. FL优先级违规变量 (Level 3业务约束支持)\r\n 251             foreach (var task in context.Tasks)\r\n 252             {\r\n 253                 var flViolationVar = solver.MakeBoolVar($\"fl_violation_{task.Id}\");\r\n 254                 auxiliaryVars[$\"fl_violation_{task.Id}\"] = flViolationVar;\r\n 255             }*/\r\n 256 \r\n 257             _logger.LogDebug(\"🔧 辅助变量构建完成 - 总数：{AuxVarCount}（工作负载：{WorkloadCount}，冲突指示：{Co…\r\n 258                 auxiliaryVars.Count,\r\n 259                 context.Tasks.Count / context.AvailablePersonnel.Count,\r\n 260                 context.AvailablePersonnel.Count * timeSlots.Count,\r\n\r\n","metadata":{"exit_code":0,"duration_seconds":1.2}}


**Searching for workload-related constraints**


Select-String -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs" -Pattern "workload" -Context 0,5


Output: {"output":"\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:212:                var \u001b[7mworkload\u001b[0mVar =\u001b[0m\n\u001b[7m\u001b[0m solver.MakeIntVar(0, context.Tasks.Count, $\"workload_{personnel.Id}\");\u001b[0m\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:213:                auxiliaryVars[$\"\u001b[7mw\u001b[0m\n\u001b[7morkload\u001b[0m_{personnel.Id}\"] = workloadVar;\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:214:            }\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:215:\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:216:            // 2. 负载均衡偏差变\u001b[0m\n\u001b[7m\u001b[0m量 (支持公平性目标建模)\u001b[0m\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:217:            var avg\u001b[7mWorkload\u001b[0m = (do\u001b[0m\n\u001b[7m\u001b[0muble)context.Tasks.Count / context.AvailablePersonnel.Count;\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:218:            foreach (var personne\u001b[0m\n\u001b[7m\u001b[0ml in context.AvailablePersonnel)\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:219:            {\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:220:                // 正偏差变量 (超\u001b[0m\n\u001b[7m\u001b[0m出平均负载的部分)\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:221:                var posDeviationV\u001b[0m\n\u001b[7m\u001b[0mar = solver.MakeNumVar(0, context.Tasks.Count, $\"pos_dev_{personnel.Id}\");\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:222:                auxiliaryVars[$\"p\u001b[0m\n\u001b[7m\u001b[0mos_dev_{personnel.Id}\"] = posDeviationVar;\u001b[0m\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:225:                var negDeviationV\nar = solver.MakeNumVar(0, avg\u001b[7mWorkload\u001b[0m, $\"neg_dev_{personnel.Id}\");\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:226:                auxiliaryVars[$\"n\u001b[0m\n\u001b[7m\u001b[0meg_dev_{personnel.Id}\"] = negDeviationVar;\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:227:            }\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:228:\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:229:            // 3. 时间冲突指示变\u001b[0m\n\u001b[7m\u001b[0m量 (二进制变量，标识是否存在时间冲突)\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:230:            var timeSlots = conte\u001b[0m\n\u001b[7m\u001b[0mxt.Tasks.Select(t => new { Date = t.WorkOrderDate.Date })\u001b[0m\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:257:            _logger.LogDebug(\"🔧 \n辅助变量构建完成 - 总数：{AuxVarCount}（工作负载：{\u001b[7mWorkload\u001b[0mCount}，冲突指示：{ConflictCount}，班次违规：{ShiftCount}，F\u001b[0m\n\u001b[7m\u001b[0mL违规：{FLCount}）\", \u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:258:                auxiliaryVars.Cou\u001b[0m\n\u001b[7m\u001b[0mnt,\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:259:                context.Tasks.Cou\u001b[0m\n\u001b[7m\u001b[0mnt / context.AvailablePersonnel.Count,\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:260:                context.Available\u001b[0m\n\u001b[7m\u001b[0mPersonnel.Count * timeSlots.Count,\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:261:                context.Available\u001b[0m\n\u001b[7m\u001b[0mPersonnel.Count,\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:262:                context.Tasks.Cou\u001b[0m\n\u001b[7m\u001b[0mnt);\u001b[0m\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:355:                if (personnelTask\ns.Any() && auxiliaryVars.ContainsKey($\"\u001b[7mworkload\u001b[0m_{personnel.Id}\"))\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:356:                {\u001b[0m\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:357:                    var constrain\nt = solver.MakeConstraint(0, 0, $\"\u001b[7mworkload\u001b[0m_calc_{personnel.Id}\");\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:358:                    \u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:359:                    foreach (var \u001b[0m\n\u001b[7m\u001b[0mkvp in personnelTasks)\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:360:                    {\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:361:                        constrain\u001b[0m\n\u001b[7m\u001b[0mt.SetCoefficient(kvp.Value, 1);\u001b[0m\n\u001b[7m\u001b[0m  NP\n[... omitted 59 of 315 lines ...]\n\n        \u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1235:            _logger.LogDebug(\"📊\u001b[0m\n\u001b[7m\u001b[0m 详细负载分布：{Distribution}\", distributionLog);\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1236:        }\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1237:\u001b[0m\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1789:                    var \u001b[7mworkload\u001b[0m\n\u001b[7m\u001b[0mViolations = CheckBatchWorkloadLimits(candidateTask, batchSimulationContext, personnelId);\u001b[0m\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1790:                    if (\u001b[7mworkload\u001b[0m\n\u001b[7m\u001b[0mViolations.Any())\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1791:                    {\u001b[0m\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1792:                        violatio\nns.AddRange(\u001b[7mworkload\u001b[0mViolations);\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1793:                    }\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1794:\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1795:                    // 【批次验\u001b[0m\n\u001b[7m\u001b[0m证4】检查人员不可用性（基于班次不可用性缓存）\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1796:                    var unavaila\u001b[0m\n\u001b[7m\u001b[0mbilityViolations = CheckPersonnelUnavailability(candidateTask, personnelId, context);\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1797:                    if (unavaila\u001b[0m\n\u001b[7m\u001b[0mbilityViolations.Any())\u001b[0m\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1895:        private List<string> Che\nckBatch\u001b[7mWorkload\u001b[0mLimits(\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1896:            WorkOrderEntity cand\u001b[0m\n\u001b[7m\u001b[0midateTask,\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1897:            List<WorkOrderEntity\u001b[0m\n\u001b[7m\u001b[0m> batchContext,\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1898:            long personnelId)\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1899:        {\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:1900:            var violations = new\u001b[0m\n\u001b[7m\u001b[0m List<string>();\u001b[0m\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:2154:            var avg\u001b[7mWorkload\u001b[0m = (d\u001b[0m\n\u001b[7m\u001b[0mouble)totalTasks / totalPersonnel;\u001b[0m\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:2155:            var maxDeviation = M\nath.Ceiling(avg\u001b[7mWorkload\u001b[0m * 0.3); // 允许30%偏差\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:2156:\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:2157:            foreach (var personn\u001b[0m\n\u001b[7m\u001b[0mel in context.AvailablePersonnel)\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:2158:            {\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:2159:                var personnelTas\u001b[0m\n\u001b[7m\u001b[0mks = decisionVars\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:2160:                    .Where(kvp =\u001b[0m\n\u001b[7m\u001b[0m> kvp.Key.PersonnelId == personnel.Id)\u001b[0m\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:2168:                        Math.Max\n(0, avg\u001b[7mWorkload\u001b[0m - maxDeviation),\u001b[0m\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:2169:                        avg\u001b[7mWorkl\u001b[0m\n\u001b[7moad\u001b[0m + maxDeviation,\u001b[0m\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:2170:                        $\"\u001b[7mworklo\u001b[0m\n\u001b[7mad\u001b[0m_balance_{personnel.Id}\");\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:2171:\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:2172:                    foreach (var\u001b[0m\n\u001b[7m\u001b[0m taskVar in personnelTasks)\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:2173:                    {\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:2174:                        constrai\u001b[0m\n\u001b[7m\u001b[0mnt.SetCoefficient(taskVar, 1);\u001b[0m\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:2175:                    }\u001b[0m\n","metadata":{"exit_code":0,"duration_seconds":1.2}}


Summary: auto


**Examining workload fairness constraints**


$i=1; $content = Get-Content -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs" | ForEach-Object { [PSCustomObject]@{Line=$i; Text=$_}; $i++ }; $content | Where-Object { $_.Line -ge 340 -and $_.Line -le 380 }


Output: {"output":"\r\n\u001b[32;1mLine\u001b[0m\u001b[32;1m Text\u001b[0m\r\n\u001b[32;1m----\u001b[0m \u001b[32;1m----\u001b[0m\r\n 340                                 {\r\n 341                                     conflictConstraint.SetCoefficient(variable, 1);\r\n 342                                 }\r\n 343                                 conflictConstraint.SetCoefficient(auxiliaryVars[conflictVarKey], -timeSlotVariabl…\r\n 344                                 constraintCount++;\r\n 345                             }\r\n 346                         }\r\n 347                     }\r\n 348                 }\r\n 349             }\r\n 350 \r\n 351             // 基础约束3：工作负载计算约束 - 连接决策变量与辅助变量\r\n 352             foreach (var personnel in context.AvailablePersonnel)\r\n 353             {\r\n 354                 var personnelTasks = decisionVars.Where(v => v.Key.PersonnelId == personnel.Id).ToList();\r\n 355                 if (personnelTasks.Any() && auxiliaryVars.ContainsKey($\"workload_{personnel.Id}\"))\r\n 356                 {\r\n 357                     var constraint = solver.MakeConstraint(0, 0, $\"workload_calc_{personnel.Id}\");\r\n 358                     \r\n 359                     foreach (var kvp in personnelTasks)\r\n 360                     {\r\n 361                         constraint.SetCoefficient(kvp.Value, 1);\r\n 362                     }\r\n 363                     constraint.SetCoefficient(auxiliaryVars[$\"workload_{personnel.Id}\"], -1);\r\n 364                     constraintCount++;\r\n 365                 }\r\n 366             }\r\n 367 \r\n 368             _logger.LogDebug(\"✅ Level 1基础约束添加完成 - 约束数量：{ConstraintCount}\", constraintCount);\r\n 369         }\r\n 370 \r\n 371         #endregion\r\n 372 \r\n 373         #region Level 2 组合约束 - 对应遗传算法组合约束验证\r\n 374 \r\n 375         /// <summary>\r\n 376         /// 添加Level 2组合约束 - 对应遗传算法的ExecuteLevel2CombinationConstraintValidation\r\n 377         /// 约束内容：动态班次规则、跨任务资源竞争约束\r\n 378         /// 约束特点：基于任务组合的动态验证，违反时重度惩罚\r\n 379         /// </summary>\r\n 380         private async Task AddLevel2CombinationConstraints(\r\n\r\n","metadata":{"exit_code":0,"duration_seconds":1.3}}


**Investigating fairness checks and thresholds**


$i=1; $content = Get-Content -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs" | ForEach-Object { [PSCustomObject]@{Line=$i; Text=$_}; $i++ }; $content | Where-Object { $_.Line -ge 2140 -and $_.Line -le 2185 }


Output: {"output":"\r\n\u001b[32;1mLine\u001b[0m\u001b[32;1m Text\u001b[0m\r\n\u001b[32;1m----\u001b[0m \u001b[32;1m----\u001b[0m\r\n2140                         {\r\n2141                             constraint.SetCoefficient(taskVar, 1);\r\n2142                         }\r\n2143                         constraintCount++;\r\n2144 \r\n2145                         // 限制项目参与人员数量\r\n2146                         auxiliaryVars[$\"project_participation_{projectCode}_{personnel.Id}\"] = participationVar;\r\n2147                     }\r\n2148                 }\r\n2149             }\r\n2150 \r\n2151             // 2. 工作负载平衡约束\r\n2152             var totalTasks = context.Tasks.Count;\r\n2153             var totalPersonnel = context.AvailablePersonnel.Count;\r\n2154             var avgWorkload = (double)totalTasks / totalPersonnel;\r\n2155             var maxDeviation = Math.Ceiling(avgWorkload * 0.3); // 允许30%偏差\r\n2156 \r\n2157             foreach (var personnel in context.AvailablePersonnel)\r\n2158             {\r\n2159                 var personnelTasks = decisionVars\r\n2160                     .Where(kvp => kvp.Key.PersonnelId == personnel.Id)\r\n2161                     .Select(kvp => kvp.Value)\r\n2162                     .ToList();\r\n2163 \r\n2164                 if (personnelTasks.Any())\r\n2165                 {\r\n2166                     // 工作负载不应过度偏离平均值\r\n2167                     var constraint = solver.MakeConstraint(\r\n2168                         Math.Max(0, avgWorkload - maxDeviation),\r\n2169                         avgWorkload + maxDeviation,\r\n2170                         $\"workload_balance_{personnel.Id}\");\r\n2171 \r\n2172                     foreach (var taskVar in personnelTasks)\r\n2173                     {\r\n2174                         constraint.SetCoefficient(taskVar, 1);\r\n2175                     }\r\n2176                     constraintCount++;\r\n2177                 }\r\n2178             }\r\n2179 \r\n2180             return constraintCount;\r\n2181         }\r\n2182 \r\n2183         /// <summary>\r\n2184         /// 【Ultra think核心】添加人员班次不可用性硬约束\r\n2185         /// 【业务逻辑】：确保线性规划模型不会将任务分配给在该时间段不可用的人员\r\n\r\n","metadata":{"exit_code":0,"duration_seconds":1.3}}


**Summarizing fairness verification in optimization**

I’m figuring out how fairness checks are integrated into `OptimizeAsync`. Fairness constraints control workload balance by matching individual loads to an average with deviations, capping max workload at 1.5 times the average, and requiring minimum personnel participation. Though the fairness reward is currently inactive, validation runs after solving calculate load balance with metrics like the Gini coefficient, logging these results. There may also be fairness checks around batch workload limits, so I’ll examine those lines to include them in the summary.


$i=1; $content = Get-Content -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs" | ForEach-Object { [PSCustomObject]@{Line=$i; Text=$_}; $i++ }; $content | Where-Object { $_.Line -ge 1890 -and $_.Line -le 1940 }


Output: {"output":"\r\n\u001b[32;1mLine\u001b[0m\u001b[32;1m Text\u001b[0m\r\n\u001b[32;1m----\u001b[0m \u001b[32;1m----\u001b[0m\r\n1890         }\r\n1891 \r\n1892         /// <summary>\r\n1893         /// 检查批次工作负载限制\r\n1894         /// </summary>\r\n1895         private List<string> CheckBatchWorkloadLimits(\r\n1896             WorkOrderEntity candidateTask,\r\n1897             List<WorkOrderEntity> batchContext,\r\n1898             long personnelId)\r\n1899         {\r\n1900             var violations = new List<string>();\r\n1901             \r\n1902             // 按日期分组检查每日工作负载\r\n1903             var dailyTasks = batchContext\r\n1904                 .Where(t => t.AssignedPersonnelId == personnelId)\r\n1905                 .GroupBy(t => t.WorkOrderDate.Date)\r\n1906                 .ToList();\r\n1907                 \r\n1908             // 检查候选任务所在日期的工作负载\r\n1909             var candidateDate = candidateTask.WorkOrderDate.Date;\r\n1910             var sameDayTasks = dailyTasks\r\n1911                 .Where(g => g.Key == candidateDate)\r\n1912                 .SelectMany(g => g)\r\n1913                 .ToList();\r\n1914                 \r\n1915             if (sameDayTasks.Any())\r\n1916             {\r\n1917                 var totalHours = sameDayTasks.Sum(t => t.EstimatedHours ?? 1.0m) + (candidateTask.EstimatedHours …\r\n1918                 \r\n1919                 if (totalHours > 12) // 每日最大12小时（含加班）\r\n1920                 {\r\n1921                     violations.Add($\"日工作负载超限: {candidateDate:yyyy-MM-dd}总工时{totalHours}小时超过12小时限…\r\n1922                 }\r\n1923             }\r\n1924             \r\n1925             return violations;\r\n1926         }\r\n1927 \r\n1928         /// <summary>\r\n1929         /// 检查人员不可用性 - 基于班次不可用性缓存\r\n1930         /// </summary>\r\n1931         private List<string> CheckPersonnelUnavailability(\r\n1932             WorkOrderEntity candidateTask,\r\n1933             long personnelId,\r\n1934             GlobalAllocationContext context)\r\n1935         {\r\n1936             var violations = new List<string>();\r\n1937             \r\n1938             // 检查人员班次不可用性\r\n1939             if (context.PersonnelUnavailabilityIndex.TryGetValue(personnelId, out var unavailabilityIndex))\r\n1940             {\r\n\r\n","metadata":{"exit_code":0,"duration_seconds":1.2}}


**Analyzing fairness checks and constraints**

I'm mapping out where fairness validation and constraints happen, referencing exact line numbers and methods. I’m focusing on pre- and post-solve fairness checks, how workload variables and constraints set up fairness, and mentioning cross-method details like those in `AddLevel3BusinessConstraints` around lines 2100–2176, to clarify the layered fairness logic for a clear final explanation.


$i=1; $content = Get-Content -Path "NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs" | ForEach-Object { [PSCustomObject]@{Line=$i; Text=$_}; $i++ }; $content | Where-Object { $_.Line -ge 2080 -and $_.Line -le 2160 }