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>


分析 CreateAdvancedSolver


Summary: auto


**Searching for CreateAdvancedSolver definition**


shell

pwsh.exe
-Command
rg "CreateAdvancedSolver"


Output: {"output":"NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:                using var solver = CreateAdvancedSolver();\r\nNPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:        private Solver CreateAdvancedSolver()\r\n","metadata":{"exit_code":0,"duration_seconds":0.7}}


**Opening file content**


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 double OPTIMALITY_TOLERANCE = 1e-6;\n        private const int MAX_SOLVER_TIME_SECONDS = 600; // 增加到10分钟支持复杂约束\n        private const int MAX_CONSTRAINT_COUNT = 50000;   // 最大约束数量限制\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 re\n[... omitted 2156 of 2412 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":0.9}}


**Searching for CreateAdvancedSolver function**


Select-String -Path "NPP.SmartSchedue.Api\Services\Integration\Algorithms\LinearProgrammingEngine.cs" -Pattern "CreateAdvancedSolver" -Context 5,20


Output: {"output":"\r\n  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:56:            {\r\n  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:57:                _logger.LogDebug(\"🚀 启动增强版线性规划优化 - 任务数：{TaskCount}，\r\n人员数：{PersonnelCount}，预筛选缓存：{CacheSize}\", \r\n  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:58:                    context.Tasks.Count, context.AvailablePersonnel.Count, context.\r\nPrefilterResults.Count);\r\n  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:59:\r\n  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:60:                // 第一步：创建高性能求解器\r\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:61:                using var solver = \u001b[7mCreateAdvancedSolver\u001b[0m();\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:62:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:63:                // 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)\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:64:                var decisionVariables = BuildDecisionVariables(solver, context);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:65:                _logger.LogDebug(\"📊 决策变量构建完成 - 变量数量：{VariableCount}\",\u001b[0m\r\n\u001b[7m\u001b[0m decisionVariables.Count);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:66:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:67:                // 第三步：构建辅助变量 (支持复杂约束建模)\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:68:                var auxiliaryVariables = BuildAuxiliaryVariables(solver, context, d\u001b[0m\r\n\u001b[7m\u001b[0mecisionVariables);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:69:                _logger.LogDebug(\"🔧 辅助变量构建完成 - 辅助变量数量：{AuxCount}\", \u001b[0m\r\n\u001b[7m\u001b[0mauxiliaryVariables.Count);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:70:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:71:                // 第四步：Level 1 基础约束 - 对应遗传算法的基础约束验证\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:72:                await AddLevel1BasicConstraints(solver, decisionVariables, auxiliar\u001b[0m\r\n\u001b[7m\u001b[0myVariables, context);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:73:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:74:                // 第五步：Level 2 组合约束 - 对应遗传算法的组合约束验证  \u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:75:                await AddLevel2CombinationConstraints(solver, decisionVariables, au\u001b[0m\r\n\u001b[7m\u001b[0mxiliaryVariables, context);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:76:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:77:                // 第六步：Level 3 业务约束 - 对应遗传算法的业务逻辑约束\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:78:                await AddLevel3BusinessConstraints(solver, decisionVariables, auxil\u001b[0m\r\n\u001b[7m\u001b[0miaryVariables, context);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:79:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:80:                // 第七步：公平性约束 - 对应遗传算法的负载均衡机制\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:81:                AddFairnessConstraints(solver, decisionVariables, auxiliaryVariable\u001b[0m\r\n\u001b[7m\u001b[0ms, context);\u001b[0m\r\n  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:107:        #region 求解器和变量构建\r\n  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:108:\r\n  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:109:        /// <summary>\r\n  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:110:        /// 创建高性能求解器 - 支持大规模约束优化\r\n  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:111:        /// </summary>\r\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:112:        private Solver \u001b[7mCreateAdvancedSolver\u001b[0m()\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:113:        {\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:114:            var solver = Solver.CreateSolver(SOLVER_TYPE);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:115:            if (solver == null)\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:116:            {\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:117:                throw new InvalidOperationException(\"无法创建增强版线性规划求解器\"\u001b[0m\r\n\u001b[7m\u001b[0m);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:118:            }\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:119:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:120:            // 高性能配置\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:121:            solver.SetTimeLimit(MAX_SOLVER_TIME_SECONDS * 1000);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:122:            \u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:123:            // 设置优化参数\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:124:            solver.SetSolverSpecificParametersAsString(\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:125:                \"cuts=1 \" +           // 启用割平面\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:126:                \"heuristics=1 \" +     // 启用启发式算法\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:127:                \"presolve=1 \" +       // 启用预处理\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:128:                \"threads=0\"           // 使用所有可用线程\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:129:            );\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:130:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:131:            _logger.LogInformation(\"🔧 高性能求解器创建完成，配置：时间限制{TimeLi\u001b[0m\r\n\u001b[7m\u001b[0mmit}s，多线程支持\", MAX_SOLVER_TIME_SECONDS);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:132:            return solver;\u001b[0m\r\n\r\n","metadata":{"exit_code":0,"duration_seconds":0.8}}


**Evaluating CreateAdvancedSolver function**


pwsh.exe
-Command
rg "OPTIMALITY_TOLERANCE" -n


Output: {"output":"NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:28:        private const double OPTIMALITY_TOLERANCE = 1e-6;\r\n","metadata":{"exit_code":0,"duration_seconds":0.7}}


**Identifying unused constants**


pwsh.exe
-Command
rg "MAX_CONSTRAINT_COUNT" -n


Output: {"output":"NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:30:        private const int MAX_CONSTRAINT_COUNT = 50000;   // 最大约束数量限制\r\n","metadata":{"exit_code":0,"duration_seconds":0.7}}


**Analyzing CreateAdvancedSolver function**

I’m examining the CreateAdvancedSolver function’s design and potential improvements following a structured multi-phase analysis covering understanding, planning, execution, and summary. I want to highlight considerations like string-building practices for solver parameters, the use and management of constants such as OPTIMALITY_TOLERANCE, adherence to KISS and SOLID principles, resource management, and opportunities for configuration injection while respecting YAGNI. I’ll include precise file and line references to ground the observations.


**理解阶段**
- `CreateAdvancedSolver`位于 `NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs:112`，负责实例化 CBC MILP 求解器、设置时间上限与特定参数、记录日志，供整个线性规划流程复用。
- 当前实现遵循 KISS：逻辑仅包含判空、超时与参数配置，确保调用端 `OptimizeAsync` 在 `using` 语句中安全使用求解器。
- 发现潜在违背 YAGNI/DRY 的信号：同文件顶部存在未被利用的 `OPTIMALITY_TOLERANCE`、`MAX_CONSTRAINT_COUNT` 常量（:28、:30），暗示求解器配置与约束控制仍未统一收敛。

**规划阶段**
- 本轮目标：评估求解器创建流程的健壮性与可维护性，并界定后续迭代（若需要）的改进方向。
- 重点考量：①是否需要抽离或注入配置以满足 SOLID；②是否存在重复或冗余的参数设置；③是否需在求解器创建阶段补充对约束上限/容差的校验，以免违背 KISS/YAGNI。

**执行阶段**
- `Solver.CreateSolver(SOLVER_TYPE)` 使用常量 `CBC_MIXED_INTEGER_PROGRAMMING`（:24、:114），简单明了；若未来支持不同求解器，可考虑通过配置注入，回应 DIP/OCP。
- 时间与求解器参数：`solver.SetTimeLimit(MAX_SOLVER_TIME_SECONDS * 1000)`（:121）确保 MILP 在 600s 内求解；`SetSolverSpecificParametersAsString`（:124-128）启用 cuts/heuristics/presolve/threads。若后续需调节更多 CBC 参数，可改为集中管理（避免硬编码字符串扩散，维护 DRY）。
- 资源管理：返回前记录日志（:131），配合调用端的 `using` 使用（:61），确保及时释放 native 资源，符合 SRP 与 KISS。
- 未使用常量提示改进空间：若不准备使用最优性容差或约束上限，应清理常量（践行 YAGNI）；若有需求，则应在求解器或模型构建阶段实际引用（保持 DRY/一致性）。

**汇报阶段**
- 已完成：梳理 `CreateAdvancedSolver` 的职责、配置项和潜在改进点，明确其与整体优化流程的协作方式。
- 原则应用：确认了方法当前保持 KISS/SRP；指出未使用常量违反 YAGNI/DRY；建议未来通过抽象或配置支持实现 OCP/DIP。
- 遇到挑战：OR-Tools CBC 参数需结合业务实践验证；在不运行求解器的前提下，解析其最优配置存在不确定性。
- 下一步建议：1) 视业务需求决定是否删除未使用常量或在求解器/约束构建时真正应用；2) 若需要支持可配置化求解器或线程/time-limit 调整，可引入配置对象并在 `LinearProgrammingEngine` 构造时注入；3) 在后续迭代中结合性能测试评估当前 CBC 参数组合是否满足复杂场景需求。


优化此方法


**Evaluating solver creation optimizations**


rg "SetNumThreads" -n NPP.SmartSchedue.Api -g"*.cs"


Output: {"output":"","metadata":{"exit_code":1,"duration_seconds":1.3}}


**Evaluating solver configuration improvements**


pwsh.exe
-Command
rg "LinearProgrammingOptions" -n


Output: {"output":"","metadata":{"exit_code":1,"duration_seconds":1.2}}


Summary: auto


**Considering solver parameter configuration**


Output: {"output":"NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:        private const int MAX_CONSTRAINT_COUNT = 50000;   // 最大约束数量限制\r\n","metadata":{"exit_code":0,"duration_seconds":1.3}}


**Evaluating constant usage and cleanup**


rg "DoubleParam" -n NPP.SmartSchedue.Api


Output: {"output":"","metadata":{"exit_code":1,"duration_seconds":1.0}}


**Exploring OR-Tools method availability**


pwsh.exe
-Command
rg "Google.OrTools" -g"*.csproj" -n


Output: {"output":"NPP.SmartSchedue.Api\\NPP.SmartSchedue.Api.csproj:35:        <PackageReference Include=\"Google.OrTools\" Version=\"9.14.6206\" />\r\n","metadata":{"exit_code":0,"duration_seconds":0.9}}


**Evaluating method optimization strategies**

I’m weighing various ways to refine the solver creation method by simplifying parameter handling, improving readability with StringBuilder and CultureInfo usage, and replacing hardcoded time values with TimeSpan conversions—while keeping it straightforward and aligned with best practices like KISS and YAGNI. There’s a focus on building a maintainable parameter string, careful use of solver-specific settings, and ensuring meaningful logs without overcomplicating. I’m considering removing unused constants and validating parameter names to avoid solver issues, aiming for improvements that balance clean design with practical usage.


Explanation: 准备提升 CreateAdvancedSolver 的可维护性与配置一致性，让求解器创建逻辑更清晰、可扩展。

整理相关常量的使用与日志输出，确保遵循 KISS/YAGNI


Output: Plan updated


**Preparing to edit code**


Get-Content -Path "NPP.SmartSchedue.Api\Services\Integration\Algorithms\LinearProgrammingEngine.cs" -TotalCount 150


Output: {"output":"using System;\r\nusing System.Collections.Generic;\r\nusing System.Linq;\r\nusing System.Threading.Tasks;\r\nusing Google.OrTools.LinearSolver;\r\nusing Microsoft.Extensions.Logging;\r\nusing NPP.SmartSchedue.Api.Contracts.Domain.Work;\r\nusing NPP.SmartSchedue.Api.Contracts.Domain.Personnel;\r\nusing NPP.SmartSchedue.Api.Contracts.Services.Integration.Internal;\r\nusing NPP.SmartSchedue.Api.Contracts.Services.Integration.Output;\r\n\r\nnamespace NPP.SmartSchedue.Api.Services.Integration.Algorithms\r\n{\r\n    /// <summary>\r\n    /// 增强版线性规划引擎 - 实现遗传算法中的所有复杂约束\r\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\r\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\r\n    /// 技术架构：Google OR-Tools + 分层约束建模 + 自适应权重优化\r\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\r\n    /// </summary>\r\n    public class LinearProgrammingEngine\r\n    {\r\n        private readonly ILogger<LinearProgrammingEngine> _logger;\r\n        private readonly ShiftRuleValidationEngine _shiftRuleEngine;\r\n        \r\n        // 求解器配置 - 增强版配置支持复杂约束\r\n        private const string SOLVER_TYPE = \"CBC_MIXED_INTEGER_PROGRAMMING\";\r\n        private const double OPTIMALITY_TOLERANCE = 1e-6;\r\n        private const int MAX_SOLVER_TIME_SECONDS = 600; // 增加到10分钟支持复杂约束\r\n        private const int MAX_CONSTRAINT_COUNT = 50000;   // 最大约束数量限制\r\n        \r\n        // 约束权重配置 - 对应遗传算法的三级约束体系\r\n        private const double LEVEL1_CONSTRAINT_PENALTY = 1000000.0; // Level 1: 基础约束严厉惩罚\r\n        private const double LEVEL2_CONSTRAINT_PENALTY = 100000.0;  // Level 2: 组合约束重度惩罚  \r\n        private const double LEVEL3_CONSTRAINT_PENALTY = 10000.0;   // Level 3: 业务约束中度惩罚\r\n        private const double FAIRNESS_REWARD_FACTOR = 1000.0;       // 公平性奖励系数\r\n\r\n        public LinearProgrammingEngine(\r\n            ILogger<LinearProgrammingEngine> logger,\r\n            ShiftRuleValidationEngine shiftRuleEngine)\r\n        {\r\n            _logger = logger ?? throw new ArgumentNullException(nameof(logger));\r\n            _shiftRuleEngine = shiftRuleEngine ?? throw new ArgumentNullException(nameof(shiftRuleEngine));\r\n        }\r\n\r\n        /// <summary>\r\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\r\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\r\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\r\n        /// </summary>\r\n        public async Task<GlobalOptimizedSolution> OptimizeAsync(GlobalAllocationContext context)\r\n        {\r\n            var stopwatch = System.Diagnostics.Stopwatch.StartNew();\r\n            \r\n            try\r\n            {\r\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}\", \r\n                    context.Tasks.Count, context.AvailablePersonnel.Count, context.PrefilterResults.Count);\r\n\r\n                // 第一步：创建高性能求解器\r\n                using var solver = CreateAdvancedSolver();\r\n\r\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)\r\n                var decisionVariables = BuildDecisionVariables(solver, context);\r\n                _logger.LogDebug(\"📊 决策变量构建完成 - 变量数量：{VariableCount}\", decisionVariables.Count);\r\n\r\n                // 第三步：构建辅助变量 (支持复杂约束建模)\r\n                var auxiliaryVariables = BuildAuxiliaryVariables(solver, context, decisionVariables);\r\n                _logger.LogDebug(\"🔧 辅助变量构建完成 - 辅助变量数量：{AuxCount}\", auxiliaryVariables.Count);\r\n\r\n                // 第四步：Level 1 基础约束 - 对应遗传算法的基础约束验证\r\n                await AddLevel1BasicConstraints(solver, decisionVariables, auxiliaryVariables, context);\r\n\r\n                // 第五步：Level 2 组合约束 - 对应遗传算法的组合约束验证  \r\n                await AddLevel2CombinationConstraints(solver, decisionVariables, auxiliaryVariables, context);\r\n\r\n                // 第六步：Level 3 业务约束 - 对应遗传算法的业务逻辑约束\r\n                await AddLevel3BusinessConstraints(solver, decisionVariables, auxiliaryVariables, context);\r\n\r\n                // 第七步：公平性约束 - 对应遗传算法的负载均衡机制\r\n                AddFairnessConstraints(solver, decisionVariables, auxiliaryVariables, context);\r\n\r\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\r\n                SetEnhancedObjectiveFunction(solver, decisionVariables, auxiliaryVariables, context);\r\n\r\n                // 第九步：执行求解\r\n                _logger.LogInformation(\"🔍 开始求解增强版线性规划模型...\");\r\n                var resultStatus = solver.Solve();\r\n                \r\n                stopwatch.Stop();\r\n                \r\n                // 第十步：解析和验证结果\r\n                var solution = await ProcessEnhancedSolverResult(solver, decisionVariables, auxiliaryVariables, \r\n                    context, resultStatus, stopwatch.ElapsedMilliseconds);\r\n                \r\n                return solution;\r\n            }\r\n            catch (Exception ex)\r\n            {\r\n                stopwatch.Stop();\r\n                _logger.LogError(ex, \"💥 增强版线性规划优化异常，耗时：{ElapsedMs}ms\", stopwatch.ElapsedMilliseconds);\r\n                \r\n                return CreateFailureSolution(ex.Message, stopwatch.ElapsedMilliseconds);\r\n            }\r\n        }\r\n\r\n        #region 求解器和变量构建\r\n\r\n        /// <summary>\r\n        /// 创建高性能求解器 - 支持大规模约束优化\r\n        /// </summary>\r\n        private Solver CreateAdvancedSolver()\r\n        {\r\n            var solver = Solver.CreateSolver(SOLVER_TYPE);\r\n            if (solver == null)\r\n            {\r\n                throw new InvalidOperationException(\"无法创建增强版线性规划求解器\");\r\n            }\r\n\r\n            // 高性能配置\r\n            solver.SetTimeLimit(MAX_SOLVER_TIME_SECONDS * 1000);\r\n            \r\n            // 设置优化参数\r\n            solver.SetSolverSpecificParametersAsString(\r\n                \"cuts=1 \" +           // 启用割平面\r\n                \"heuristics=1 \" +     // 启用启发式算法\r\n                \"presolve=1 \" +       // 启用预处理\r\n                \"threads=0\"           // 使用所有可用线程\r\n            );\r\n\r\n            _logger.LogInformation(\"🔧 高性能求解器创建完成，配置：时间限制{TimeLimit}s，多线程支持\", MAX_SOLVER_TIME_SECONDS);\r\n            return solver;\r\n        }\r\n\r\n        /// <summary>\r\n        /// 【Ultra think增强】构建决策变量 - 集成人员班次不可用性的智能变量生成\r\n        /// 【核心优化】：在变量创建阶段就排除不可用组合，大幅提升求解效率\r\n        /// 【三层优化】：预筛选结果 + 不可用性检查 + 评分阈值，实现精确的变量裁剪\r\n        /// 【性能提升】：预计减少20-40%的决策变量数量，显著提升求解速度\r\n        /// </summary>\r\n        private Dictionary<(long TaskId, long PersonnelId), Variable> BuildDecisionVariables(\r\n            Solver solver, GlobalAllocationContext context)\r\n        {\r\n            var variables = new Dictionary<(long TaskId, long PersonnelId), Variable>();\r\n            var createdCount = 0;\r\n            var skippedCount = 0;\r\n            var unavailabilitySkippedCount = 0;\r\n            \r\n            foreach (var task in context.Tasks)\r\n            {\r\n","metadata":{"exit_code":0,"duration_seconds":1.0}}


**Improving solver creation method**

I'm planning to restructure the `CreateAdvancedSolver` method to enhance readability and maintainability by using `TimeSpan`, building the parameter string with `string.Join`, and applying constants for parameters. I'm also considering how best to set the optimality tolerance, debating between using `SetSolverSpecificParametersAsString` or a typed parameter method. To clarify which parameter-setting methods are available, I'm preparing to write a small C# program to reflect on the `Solver` class methods by compiling against the OR Tools assembly. This will guide whether I can safely use `SetDoubleParam` or need to stick with the string method.


$assemblyPath = Join-Path $env:USERPROFILE ".nuget\packages\google.ortools\9.14.6206\lib\netstandard2.0\Google.OrTools.dll"; if (!(Test-Path $assemblyPath)) { throw "Assembly not found: $assemblyPath" } ; $code = @"
using System;
using System.Linq;
using Google.OrTools.LinearSolver;

class Program
{
    static void Main()
    {
        var methods = typeof(Solver).GetMethods(System.Reflection.BindingFlags.Instance | System.Reflection.BindingFlags.Public);
        foreach (var method in methods.OrderBy(m => m.Name))
        {
            Console.WriteLine(method.Name);
        }
    }
}
"@; $tempDir = Join-Path $env:TEMP "ortools_reflect"; if (!(Test-Path $tempDir)) { New-Item -ItemType Directory -Path $tempDir | Out-Null } ; $sourcePath = Join-Path $tempDir "Program.cs"; Set-Content -Path $sourcePath -Value $code -Encoding UTF8; $outPath = Join-Path $tempDir "Program.exe"; & "C:\Program Files\Microsoft Visual Studio\2022\Community\MSBuild\Current\Bin\Roslyn\csc.exe" /nologo /target:exe /out:$outPath /reference:$assemblyPath /reference:"C:\Program Files\dotnet\packs\Microsoft.NETCore.App.Ref\8.0.3\ref\net8.0\System.Runtime.dll" /reference:"C:\Program Files\dotnet\packs\Microsoft.NETCore.App.Ref\8.0.3\ref\net8.0\System.Console.dll" /reference:"C:\Program Files\dotnet\packs\Microsoft.NETCore.App.Ref\8.0.3\ref\net8.0\System.Linq.dll" $sourcePath; & $outPath;


Output: {"output":"\u001b[31;1mException: \u001b[31;1mAssembly not found: C:\\Users\\Asoka\\.nuget\\packages\\google.ortools\\9.14.6206\\lib\\netstandard2.0\\Google.OrTools.dll\u001b[0m\r\n","metadata":{"exit_code":1,"duration_seconds":1.5}}


**Checking assembly path differences**


Get-ChildItem -Recurse -Filter "Google.OrTools.dll" "$env:USERPROFILE\.nuget\packages\google.ortools"


Output: {"output":"\r\n    Directory: C:\\Users\\Asoka\\.nuget\\packages\\google.ortools\\9.14.6206\\lib\\net462\r\n\r\n\u001b[32;1mMode   \u001b[0m\u001b[32;1m              LastWriteTime\u001b[0m\u001b[32;1m         Length\u001b[0m\u001b[32;1m Name\u001b[0m\r\n\u001b[32;1m----   \u001b[0m \u001b[32;1m             -------------\u001b[0m \u001b[32;1m        ------\u001b[0m \u001b[32;1m----\u001b[0m\r\n-a---           2025/6/19    17:10        1868288 Google.OrTools.dll\r\n\r\n    Directory: C:\\Users\\Asoka\\.nuget\\packages\\google.ortools\\9.14.6206\\lib\\net8.0\r\n\r\n\u001b[32;1mMode   \u001b[0m\u001b[32;1m              LastWriteTime\u001b[0m\u001b[32;1m         Length\u001b[0m\u001b[32;1m Name\u001b[0m\r\n\u001b[32;1m----   \u001b[0m \u001b[32;1m             -------------\u001b[0m \u001b[32;1m        ------\u001b[0m \u001b[32;1m----\u001b[0m\r\n-a---           2025/6/19    17:10        1863680 Google.OrTools.dll\r\n\r\n","metadata":{"exit_code":0,"duration_seconds":1.4}}


**Evaluating compilation and reflection options**


$assemblyPath = Join-Path $env:USERPROFILE ".nuget\packages\google.ortools\9.14.6206\lib\net8.0\Google.OrTools.dll"; Add-Type -Path $assemblyPath; [Google.OrTools.LinearSolver.Solver].GetMethods("Instance, Public") | Sort-Object Name | Select-Object -ExpandProperty Name


**Evaluating solver parameter options**

I'm seeing we can replace the thread parameter with SetNumThreads for cleaner control, but handling optimality tolerance is trickier since there's no direct setter; I’m thinking about embedding it in the parameter string and verifying the exact name from OR Tools docs or related classes like MPSolverParameters.


[Google.OrTools.LinearSolver.MPSolverParameters].GetMethods("Instance, Public") | Sort-Object Name | Select-Object -ExpandProperty Name


Output: {"output":"\u001b[31;1mInvalidOperation: \u001b[31;1mUnable to find type [Google.OrTools.LinearSolver.MPSolverParameters].\u001b[0m\r\n","metadata":{"exit_code":1,"duration_seconds":1.0}}


Summary: auto


**Checking class and assembly details**


[AppDomain]::CurrentDomain.GetAssemblies() | Where-Object { $_.GetName().Name -eq 'Google.OrTools' } | ForEach-Object { $_.GetTypes().FullName }


Output: {"output":"","metadata":{"exit_code":0,"duration_seconds":0.7}}


**Checking for output truncation**


[AppDomain]::CurrentDomain.GetAssemblies() | Where-Object { $_.GetName().Name -eq 'Google.OrTools' } | ForEach-Object { $_.GetTypes() } | Select-Object -First 20 | ForEach-Object { $_.FullName }


Output: {"output":"","metadata":{"exit_code":0,"duration_seconds":0.9}}


**Considering assembly load issues**


$assembly = [AppDomain]::CurrentDomain.GetAssemblies() | Where-Object { $_.GetName().Name -eq 'Google.OrTools' }; try { $assembly.GetTypes() } catch [System.Reflection.ReflectionTypeLoadException] { $_.Exception.LoaderExceptions | ForEach-Object { $_.Message } }


Output: {"output":"\u001b[31;1mInvalidOperation: \u001b[31;1mYou cannot call a method on a null-valued expression.\u001b[0m\r\n","metadata":{"exit_code":1,"duration_seconds":1.0}}


**Checking assembly details**


Output: {"output":"\u001b[31;1mInvalidOperation: \u001b[31;1mUnable to find type [Google.OrTools.LinearSolver.Solver].\u001b[0m\r\n","metadata":{"exit_code":1,"duration_seconds":1.0}}


**Optimizing solver creation method**

I’m refining the solver setup by adding a guard clause and improving readability using `TimeSpan` for the time limit. I'll set threads explicitly with `Math.Max(Environment.ProcessorCount, 1)` to ensure at least one thread, and tidy the parameter string handling. I’m updating the log to include solver type, time limit, and thread count for clearer diagnostics, while adding a concise comment about thread count requirements. This will make the solver creation more robust and informative.


$patch = @'
*** Begin Patch
*** Update File: NPP.SmartSchedue.Api\Services\Integration\Algorithms\LinearProgrammingEngine.cs
@@
-        private Solver CreateAdvancedSolver()
-        {
-            var solver = Solver.CreateSolver(SOLVER_TYPE);
-            if (solver == null)
-            {
-                throw new InvalidOperationException("无法创建增强版线性规划求解器");
-            }
-
-            // 高性能配置
-            solver.SetTimeLimit(MAX_SOLVER_TIME_SECONDS * 1000);
-
-            // 设置优化参数
-            solver.SetSolverSpecificParametersAsString(
-                "cuts=1 " +           // 启用割平面
-                "heuristics=1 " +     // 启用启发式算法
-                "presolve=1 " +       // 启用预处理
-                "threads=0"           // 使用所有可用线程
-            );
-
-            _logger.LogInformation("🔧 高性能求解器创建完成，配置：时间限制{TimeLimit}s，多线程支持", MAX_SOLVER_TIME_SECONDS);
-            return solver;
-        }
+        private Solver CreateAdvancedSolver()
+        {
+            var solver = Solver.CreateSolver(SOLVER_TYPE)
+                ?? throw new InvalidOperationException("无法创建增强版线性规划求解器");
+
+            var timeLimitInMilliseconds = (long)TimeSpan.FromSeconds(MAX_SOLVER_TIME_SECONDS).TotalMilliseconds;
+            solver.SetTimeLimit(timeLimitInMilliseconds);
+
+            var configuredThreadCount = Math.Max(Environment.ProcessorCount, 1); // CBC 要求线程数至少为1
+            solver.SetNumThreads(configuredThreadCount);
+
+            const string solverParameterString = "cuts=1 heuristics=1 presolve=1";
+            solver.SetSolverSpecificParametersAsString(solverParameterString);
+
+            _logger.LogInformation(
+                "🔧 高性能求解器创建完成，类型：{SolverType}，时间限制：{TimeLimit}s，线程数：{ThreadCount}",
+                SOLVER_TYPE,
+                MAX_SOLVER_TIME_SECONDS,
+                configuredThreadCount);
+
+            return solver;
+        }
*** End Patch
'@; git apply --unsafe-paths - <<<'$patch'


Output: {"output":"\u001b[31;1mParserError: \u001b[0m\r\n\u001b[31;1m\u001b[36;1mLine |\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m  50 | \u001b[0m '@; git apply --unsafe-paths - <\u001b[36;1m<\u001b[0m<'$patch'\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[0m\u001b[36;1m     | \u001b[31;1m                                 ~\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[31;1m\u001b[31;1m\u001b[36;1m     | \u001b[31;1mMissing file specification after redirection operator.\u001b[0m\r\n","metadata":{"exit_code":1,"duration_seconds":0.8}}


**Handling patch application in PowerShell**


$patch = @'
*** Begin Patch
*** Update File: NPP.SmartSchedue.Api\Services\Integration\Algorithms\LinearProgrammingEngine.cs
@@
-        private Solver CreateAdvancedSolver()
-        {
-            var solver = Solver.CreateSolver(SOLVER_TYPE);
-            if (solver == null)
-            {
-                throw new InvalidOperationException("无法创建增强版线性规划求解器");
-            }
-
-            // 高性能配置
-            solver.SetTimeLimit(MAX_SOLVER_TIME_SECONDS * 1000);
-
-            // 设置优化参数
-            solver.SetSolverSpecificParametersAsString(
-                "cuts=1 " +           // 启用割平面
-                "heuristics=1 " +     // 启用启发式算法
-                "presolve=1 " +       // 启用预处理
-                "threads=0"           // 使用所有可用线程
-            );
-
-            _logger.LogInformation("🔧 高性能求解器创建完成，配置：时间限制{TimeLimit}s，多线程支持", MAX_SOLVER_TIME_SECONDS);
-            return solver;
-        }
+        private Solver CreateAdvancedSolver()
+        {
+            var solver = Solver.CreateSolver(SOLVER_TYPE)
+                ?? throw new InvalidOperationException("无法创建增强版线性规划求解器");
+
+            var timeLimitInMilliseconds = (long)TimeSpan.FromSeconds(MAX_SOLVER_TIME_SECONDS).TotalMilliseconds;
+            solver.SetTimeLimit(timeLimitInMilliseconds);
+
+            var configuredThreadCount = Math.Max(Environment.ProcessorCount, 1); // CBC 要求线程数至少为1
+            solver.SetNumThreads(configuredThreadCount);
+
+            const string solverParameterString = "cuts=1 heuristics=1 presolve=1";
+            solver.SetSolverSpecificParametersAsString(solverParameterString);
+
+            _logger.LogInformation(
+                "🔧 高性能求解器创建完成，类型：{SolverType}，时间限制：{TimeLimit}s，线程数：{ThreadCount}",
+                SOLVER_TYPE,
+                MAX_SOLVER_TIME_SECONDS,
+                configuredThreadCount);
+
+            return solver;
+        }
*** End Patch
'@; $patchPath = Join-Path $env:TEMP "lp_engine.patch"; Set-Content -Path $patchPath -Value $patch -Encoding UTF8; git apply --unsafe-paths $patchPath


Output: {"output":"error: No valid patches in input (allow with \"--allow-empty\")\n","metadata":{"exit_code":1,"duration_seconds":1.3}}


**Switching from patch to script modification**


$file = "NPP.SmartSchedue.Api\Services\Integration\Algorithms\LinearProgrammingEngine.cs"; $content = Get-Content -Path $file -Raw; $old = @"
        private Solver CreateAdvancedSolver()
        {
            var solver = Solver.CreateSolver(SOLVER_TYPE);
            if (solver == null)
            {
                throw new InvalidOperationException("无法创建增强版线性规划求解器");
            }

            // 高性能配置
            solver.SetTimeLimit(MAX_SOLVER_TIME_SECONDS * 1000);

            // 设置优化参数
            solver.SetSolverSpecificParametersAsString(
                "cuts=1 " +           // 启用割平面
                "heuristics=1 " +     // 启用启发式算法
                "presolve=1 " +       // 启用预处理
                "threads=0"           // 使用所有可用线程
            );

            _logger.LogInformation("🔧 高性能求解器创建完成，配置：时间限制{TimeLimit}s，多线程支持", MAX_SOLVER_TIME_SECONDS);
            return solver;
        }
"@;
$new = @"
        private Solver CreateAdvancedSolver()
        {
            var solver = Solver.CreateSolver(SOLVER_TYPE)
                ?? throw new InvalidOperationException("无法创建增强版线性规划求解器");

            var timeLimitInMilliseconds = (long)TimeSpan.FromSeconds(MAX_SOLVER_TIME_SECONDS).TotalMilliseconds;
            solver.SetTimeLimit(timeLimitInMilliseconds);

            var configuredThreadCount = Math.Max(Environment.ProcessorCount, 1); // CBC 要求线程数至少为1
            solver.SetNumThreads(configuredThreadCount);

            const string solverParameterString = "cuts=1 heuristics=1 presolve=1";
            solver.SetSolverSpecificParametersAsString(solverParameterString);

            _logger.LogInformation(
                "🔧 高性能求解器创建完成，类型：{SolverType}，时间限制：{TimeLimit}s，线程数：{ThreadCount}",
                SOLVER_TYPE,
                MAX_SOLVER_TIME_SECONDS,
                configuredThreadCount);

            return solver;
        }
"@;
if ($content -notlike "*" + $old.Trim() + "*") { throw "原始片段未找到，取消修改" }
$content = $content -replace [regex]::Escape($old), [System.Text.RegularExpressions.Regex]::Escape($new)


Output: {"output":"","metadata":{"exit_code":0,"duration_seconds":1.0}}


**Fixing string replacement approach**


$file = "NPP.SmartSchedue.Api\Services\Integration\Algorithms\LinearProgrammingEngine.cs"; $content = Get-Content -Path $file -Raw; $old = @"
        private Solver CreateAdvancedSolver()
        {
            var solver = Solver.CreateSolver(SOLVER_TYPE);
            if (solver == null)
            {
                throw new InvalidOperationException("无法创建增强版线性规划求解器");
            }

            // 高性能配置
            solver.SetTimeLimit(MAX_SOLVER_TIME_SECONDS * 1000);

            // 设置优化参数
            solver.SetSolverSpecificParametersAsString(
                \"cuts=1 \" +           // 启用割平面
                \"heuristics=1 \" +     // 启用启发式算法
                \"presolve=1 \" +       // 启用预处理
                \"threads=0\"           // 使用所有可用线程
            );

            _logger.LogInformation(\"🔧 高性能求解器创建完成，配置：时间限制{TimeLimit}s，多线程支持\", MAX_SOLVER_TIME_SECONDS);
            return solver;
        }
"@;
$new = @"
        private Solver CreateAdvancedSolver()
        {
            var solver = Solver.CreateSolver(SOLVER_TYPE)
                ?? throw new InvalidOperationException(\"无法创建增强版线性规划求解器\");

            var timeLimitInMilliseconds = (long)TimeSpan.FromSeconds(MAX_SOLVER_TIME_SECONDS).TotalMilliseconds;
            solver.SetTimeLimit(timeLimitInMilliseconds);

            var configuredThreadCount = Math.Max(Environment.ProcessorCount, 1); // CBC 要求线程数至少为1
            solver.SetNumThreads(configuredThreadCount);

            const string solverParameterString = \"cuts=1 heuristics=1 presolve=1\";
            solver.SetSolverSpecificParametersAsString(solverParameterString);

            _logger.LogInformation(
                \"🔧 高性能求解器创建完成，类型：{SolverType}，时间限制：{TimeLimit}s，线程数：{ThreadCount}\",
                SOLVER_TYPE,
                MAX_SOLVER_TIME_SECONDS,
                configuredThreadCount);

            return solver;
        }
"@;
if (-not $content.Contains($old)) { throw "原始片段未找到，取消修改" }
$content = $content.Replace($old, $new);
Set-Content -Path $file -Value $content -Encoding UTF8;


Output: {"output":"\u001b[31;1mException: \u001b[0m\r\n\u001b[31;1m\u001b[36;1mLine |\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m  49 | \u001b[0m if (-not $content.Contains($old)) { \u001b[36;1mthrow \"原始片段未找到，取消修改\"\u001b[0m }\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[0m\u001b[36;1m     | \u001b[31;1m                                     ~~~~~~~~~~~~~~~~~~~~\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[31;1m\u001b[31;1m\u001b[36;1m     | \u001b[31;1m原始片段未找到，取消修改\u001b[0m\r\n","metadata":{"exit_code":1,"duration_seconds":0.9}}


**Checking string matching issues**


Get-Content -Path "NPP.SmartSchedue.Api\Services\Integration\Algorithms\LinearProgrammingEngine.cs" -Raw


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 double OPTIMALITY_TOLERANCE = 1e-6;\n        private const int MAX_SOLVER_TIME_SECONDS = 600; // 增加到10分钟支持复杂约束\n        private const int MAX_CONSTRAINT_COUNT = 50000;   // 最大约束数量限制\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 re\n[... omitted 2156 of 2412 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":0.7}}


Summary: auto


**Preparing to extract method details**


Select-String -Path "NPP.SmartSchedue.Api\Services\Integration\Algorithms\LinearProgrammingEngine.cs" -Pattern "CreateAdvancedSolver" -Context 0,20


Output: {"output":"\r\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:61:                using var solver = \u001b[7mCreateAdvancedSolver\u001b[0m();\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:62:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:63:                // 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)\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:64:                var decisionVariables = BuildDecisionVariables(solver, context);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:65:                _logger.LogDebug(\"📊 决策变量构建完成 - 变量数量：{VariableCount}\",\u001b[0m\r\n\u001b[7m\u001b[0m decisionVariables.Count);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:66:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:67:                // 第三步：构建辅助变量 (支持复杂约束建模)\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:68:                var auxiliaryVariables = BuildAuxiliaryVariables(solver, context, d\u001b[0m\r\n\u001b[7m\u001b[0mecisionVariables);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:69:                _logger.LogDebug(\"🔧 辅助变量构建完成 - 辅助变量数量：{AuxCount}\", \u001b[0m\r\n\u001b[7m\u001b[0mauxiliaryVariables.Count);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:70:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:71:                // 第四步：Level 1 基础约束 - 对应遗传算法的基础约束验证\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:72:                await AddLevel1BasicConstraints(solver, decisionVariables, auxiliar\u001b[0m\r\n\u001b[7m\u001b[0myVariables, context);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:73:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:74:                // 第五步：Level 2 组合约束 - 对应遗传算法的组合约束验证  \u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:75:                await AddLevel2CombinationConstraints(solver, decisionVariables, au\u001b[0m\r\n\u001b[7m\u001b[0mxiliaryVariables, context);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:76:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:77:                // 第六步：Level 3 业务约束 - 对应遗传算法的业务逻辑约束\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:78:                await AddLevel3BusinessConstraints(solver, decisionVariables, auxil\u001b[0m\r\n\u001b[7m\u001b[0miaryVariables, context);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:79:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:80:                // 第七步：公平性约束 - 对应遗传算法的负载均衡机制\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:81:                AddFairnessConstraints(solver, decisionVariables, auxiliaryVariable\u001b[0m\r\n\u001b[7m\u001b[0ms, context);\u001b[0m\r\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:112:        private Solver \u001b[7mCreateAdvancedSolver\u001b[0m()\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:113:        {\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:114:            var solver = Solver.CreateSolver(SOLVER_TYPE);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:115:            if (solver == null)\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:116:            {\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:117:                throw new InvalidOperationException(\"无法创建增强版线性规划求解器\"\u001b[0m\r\n\u001b[7m\u001b[0m);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:118:            }\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:119:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:120:            // 高性能配置\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:121:            solver.SetTimeLimit(MAX_SOLVER_TIME_SECONDS * 1000);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:122:            \u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:123:            // 设置优化参数\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:124:            solver.SetSolverSpecificParametersAsString(\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:125:                \"cuts=1 \" +           // 启用割平面\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:126:                \"heuristics=1 \" +     // 启用启发式算法\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:127:                \"presolve=1 \" +       // 启用预处理\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:128:                \"threads=0\"           // 使用所有可用线程\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:129:            );\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:130:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:131:            _logger.LogInformation(\"🔧 高性能求解器创建完成，配置：时间限制{TimeLi\u001b[0m\r\n\u001b[7m\u001b[0mmit}s，多线程支持\", MAX_SOLVER_TIME_SECONDS);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:132:            return solver;\u001b[0m\r\n\r\n","metadata":{"exit_code":0,"duration_seconds":1.5}}


**Preparing Python script for code update**


python - <<'PY'
from pathlib import Path
from textwrap import dedent

file_path = Path('NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs')
text = file_path.read_text(encoding='utf-8')
needle = "private Solver CreateAdvancedSolver()"
start = text.index(needle)
brace_start = text.index('{', start)
# find matching closing brace (method block) naive by counting braces
count = 0
end = brace_start
while end < len(text):
    ch = text[end]
    if ch == '{':
        count += 1
    elif ch == '}':
        count -= 1
        if count == 0:
            end += 1
            break
    end += 1
old_block = text[start:end]
new_block = dedent('''
        private Solver CreateAdvancedSolver()
        {
            var solver = Solver.CreateSolver(SOLVER_TYPE)
                ?? throw new InvalidOperationException("无法创建增强版线性规划求解器");

            var timeLimitInMilliseconds = (long)TimeSpan.FromSeconds(MAX_SOLVER_TIME_SECONDS).TotalMilliseconds;
            solver.SetTimeLimit(timeLimitInMilliseconds);

            var configuredThreadCount = Math.Max(Environment.ProcessorCount, 1); // CBC 要求线程数至少为1
            solver.SetNumThreads(configuredThreadCount);

            const string solverParameterString = "cuts=1 heuristics=1 presolve=1";
            solver.SetSolverSpecificParametersAsString(solverParameterString);

            _logger.LogInformation(
                "🔧 高性能求解器创建完成，类型：{SolverType}，时间限制：{TimeLimit}s，线程数：{ThreadCount}",
                SOLVER_TYPE,
                MAX_SOLVER_TIME_SECONDS,
                configuredThreadCount);

            return solver;
        }
''')
text = text.replace(old_block, new_block)
file_path.write_text(text, encoding='utf-8')
PY


Output: {"output":"\u001b[31;1mParserError: \u001b[0m\r\n\u001b[31;1m\u001b[36;1mLine |\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m   1 | \u001b[0m python - <\u001b[36;1m<\u001b[0m'PY'\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[0m\u001b[36;1m     | \u001b[31;1m           ~\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[31;1m\u001b[31;1m\u001b[36;1m     | \u001b[31;1mMissing file specification after redirection operator.\u001b[0m\r\n","metadata":{"exit_code":1,"duration_seconds":1.4}}


**Adapting script execution for PowerShell**


$script = @'
from pathlib import Path
from textwrap import dedent

file_path = Path('NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs')
text = file_path.read_text(encoding='utf-8')
needle = "private Solver CreateAdvancedSolver()"
start = text.index(needle)
brace_start = text.index('{', start)
count = 0
end = brace_start
while end < len(text):
    ch = text[end]
    if ch == '{':
        count += 1
    elif ch == '}':
        count -= 1
        if count == 0:
            end += 1
            break
    end += 1
old_block = text[start:end]
new_block = dedent('''
        private Solver CreateAdvancedSolver()
        {
            var solver = Solver.CreateSolver(SOLVER_TYPE)
                ?? throw new InvalidOperationException("无法创建增强版线性规划求解器");

            var timeLimitInMilliseconds = (long)TimeSpan.FromSeconds(MAX_SOLVER_TIME_SECONDS).TotalMilliseconds;
            solver.SetTimeLimit(timeLimitInMilliseconds);

            var configuredThreadCount = Math.Max(Environment.ProcessorCount, 1); // CBC 要求线程数至少为1
            solver.SetNumThreads(configuredThreadCount);

            const string solverParameterString = "cuts=1 heuristics=1 presolve=1";
            solver.SetSolverSpecificParametersAsString(solverParameterString);

            _logger.LogInformation(
                "🔧 高性能求解器创建完成，类型：{SolverType}，时间限制：{TimeLimit}s，线程数：{ThreadCount}",
                SOLVER_TYPE,
                MAX_SOLVER_TIME_SECONDS,
                configuredThreadCount);

            return solver;
        }
''')
text = text.replace(old_block, new_block)
file_path.write_text(text, encoding='utf-8')
'@; $tempPy = Join-Path $env:TEMP 'update_solver.py'; Set-Content -Path $tempPy -Value $script -Encoding UTF8; python $tempPy; Remove-Item $tempPy


Output: {"output":"\u001b[31;1mpython: \u001b[0m\r\n\u001b[31;1m\u001b[36;1mLine |\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m  49 | \u001b[0m … t-Content -Path $tempPy -Value $script -Encoding UTF8; \u001b[36;1mpython\u001b[0m $tempPy …\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[0m\u001b[36;1m     | \u001b[31;1m                                                          ~~~~~~\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[31;1m\u001b[31;1m\u001b[36;1m     | \u001b[31;1mThe term 'python' is not recognized as a name of a cmdlet, function, script file, or executable program.\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[31;1m\u001b[31;1m\u001b[36;1m\u001b[31;1mCheck the spelling of the name, or if a path was included, verify that the path is correct and try again.\u001b[0m\r\n","metadata":{"exit_code":0,"duration_seconds":1.6}}


**Checking Python command availability**


$script = @'
from pathlib import Path
from textwrap import dedent

file_path = Path('NPP.SmartSchedue.Api/Services/Integration/Algorithms/LinearProgrammingEngine.cs')
text = file_path.read_text(encoding='utf-8')
needle = "private Solver CreateAdvancedSolver()"
start = text.index(needle)
brace_start = text.index('{', start)
count = 0
end = brace_start
while end < len(text):
    ch = text[end]
    if ch == '{':
        count += 1
    elif ch == '}':
        count -= 1
        if count == 0:
            end += 1
            break
    end += 1
old_block = text[start:end]
new_block = dedent('''
        private Solver CreateAdvancedSolver()
        {
            var solver = Solver.CreateSolver(SOLVER_TYPE)
                ?? throw new InvalidOperationException("无法创建增强版线性规划求解器");

            var timeLimitInMilliseconds = (long)TimeSpan.FromSeconds(MAX_SOLVER_TIME_SECONDS).TotalMilliseconds;
            solver.SetTimeLimit(timeLimitInMilliseconds);

            var configuredThreadCount = Math.Max(Environment.ProcessorCount, 1); // CBC 要求线程数至少为1
            solver.SetNumThreads(configuredThreadCount);

            const string solverParameterString = "cuts=1 heuristics=1 presolve=1";
            solver.SetSolverSpecificParametersAsString(solverParameterString);

            _logger.LogInformation(
                "🔧 高性能求解器创建完成，类型：{SolverType}，时间限制：{TimeLimit}s，线程数：{ThreadCount}",
                SOLVER_TYPE,
                MAX_SOLVER_TIME_SECONDS,
                configuredThreadCount);

            return solver;
        }
''')
text = text.replace(old_block, new_block)
file_path.write_text(text, encoding='utf-8')
'@; $tempPy = Join-Path $env:TEMP 'update_solver.py'; Set-Content -Path $tempPy -Value $script -Encoding UTF8; py $tempPy; Remove-Item $tempPy


Output: {"output":"\u001b[31;1mpy: \u001b[0m\r\n\u001b[31;1m\u001b[36;1mLine |\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m  49 | \u001b[0m … ; Set-Content -Path $tempPy -Value $script -Encoding UTF8; \u001b[36;1mpy\u001b[0m $tempPy …\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[0m\u001b[36;1m     | \u001b[31;1m                                                              ~~\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[31;1m\u001b[31;1m\u001b[36;1m     | \u001b[31;1mThe term 'py' is not recognized as a name of a cmdlet, function, script file, or executable program.\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[31;1m\u001b[31;1m\u001b[36;1m\u001b[31;1mCheck the spelling of the name, or if a path was included, verify that the path is correct and try again.\u001b[0m\r\n","metadata":{"exit_code":0,"duration_seconds":1.8}}


**Drafting PowerShell method replacement**


$path = "NPP.SmartSchedue.Api\Services\Integration\Algorithms\LinearProgrammingEngine.cs"; $lines = Get-Content -Path $path; $start = -1; for ($i = 0; $i -lt $lines.Count; $i++) { if ($lines[$i].Contains("private Solver CreateAdvancedSolver()")) { $start = $i; break; } } ; if ($start -eq -1) { throw "无法定位方法声明" } ; $braceDepth = 0; $end = $start; for ($j = $start; $j -lt $lines.Count; $j++) { $braceDepth += ($lines[$j].ToCharArray() | Where-Object { $_ -eq '{' }).Count; $braceDepth -= ($lines[$j].ToCharArray() | Where-Object { $_ -eq '}' }).Count; if ($braceDepth -eq 0 -and $j -gt $start) { $end = $j; break; } } ; if ($braceDepth -ne 0) { throw "未能找到方法结尾" } ; $newBlock = @(
"        private Solver CreateAdvancedSolver()",
"        {",
"            var solver = Solver.CreateSolver(SOLVER_TYPE)",
"                ?? throw new InvalidOperationException(\"无法创建增强版线性规划求解器\");",
"",
"            var timeLimitInMilliseconds = (long)TimeSpan.FromSeconds(MAX_SOLVER_TIME_SECONDS).TotalMilliseconds;",
"            solver.SetTimeLimit(timeLimitInMilliseconds);",
"",
"            var configuredThreadCount = Math.Max(Environment.ProcessorCount, 1); // CBC 要求线程数至少为1",
"            solver.SetNumThreads(configuredThreadCount);",
"",
"            const string solverParameterString = \"cuts=1 heuristics=1 presolve=1\";",
"            solver.SetSolverSpecificParametersAsString(solverParameterString);",
"",
"            _logger.LogInformation(",
"                \"🔧 高性能求解器创建完成，类型：{SolverType}，时间限制：{TimeLimit}s，线程数：{ThreadCount}\",",
"                SOLVER_TYPE,",
"                MAX_SOLVER_TIME_SECONDS,",
"                configuredThreadCount);",
"",
"            return solver;",
"        }");
$prefix = $lines[0..($start-1)];
$suffix = $lines[($end+1)..($lines.Count-1)];
$updated = @();
$updated += $prefix;
$updated += $newBlock;
$updated += $suffix;
Set-Content -Path $path -Value $updated -Encoding UTF8;


Output: {"output":"\u001b[31;1mParserError: \u001b[0m\r\n\u001b[31;1m\u001b[36;1mLine |\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m   5 | \u001b[0m …         ?? throw new InvalidOperationException(\\\"\u001b[36;1m无法创建增强版线性规划求解器\\\");\"\u001b[0m,\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[0m\u001b[36;1m     | \u001b[31;1m                                                    ~~~~~~~~~~~~~~~~~~~\u001b[0m\r\n\u001b[31;1m\u001b[36;1m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[0m\u001b[36;1m\u001b[31;1m\u001b[31;1m\u001b[36;1m     | \u001b[31;1mUnexpected token '无法创建增强版线性规划求解器\\\");\"' in expression or statement.\u001b[0m\r\n","metadata":{"exit_code":1,"duration_seconds":1.4}}


**Improving string quoting and splitting**


$path = "NPP.SmartSchedue.Api\Services\Integration\Algorithms\LinearProgrammingEngine.cs";
$lines = Get-Content -Path $path;
$start = -1;
for ($i = 0; $i -lt $lines.Count; $i++) {
    if ($lines[$i].Contains("private Solver CreateAdvancedSolver()")) {
        $start = $i;
        break;
    }
}
if ($start -eq -1) { throw "无法定位方法声明" }
$braceDepth = 0;
$end = $start;
for ($j = $start; $j -lt $lines.Count; $j++) {
    $braceDepth += ($lines[$j].ToCharArray() | Where-Object { $_ -eq '{' }).Count;
    $braceDepth -= ($lines[$j].ToCharArray() | Where-Object { $_ -eq '}' }).Count;
    if ($braceDepth -eq 0 -and $j -gt $start) {
        $end = $j;
        break;
    }
}
if ($braceDepth -ne 0) { throw "未能找到方法结尾" }
$newBlockText = @'
        private Solver CreateAdvancedSolver()
        {
            var solver = Solver.CreateSolver(SOLVER_TYPE)
                ?? throw new InvalidOperationException("无法创建增强版线性规划求解器");

            var timeLimitInMilliseconds = (long)TimeSpan.FromSeconds(MAX_SOLVER_TIME_SECONDS).TotalMilliseconds;
            solver.SetTimeLimit(timeLimitInMilliseconds);

            var configuredThreadCount = Math.Max(Environment.ProcessorCount, 1); // CBC 要求线程数至少为1
            solver.SetNumThreads(configuredThreadCount);

            const string solverParameterString = "cuts=1 heuristics=1 presolve=1";
            solver.SetSolverSpecificParametersAsString(solverParameterString);

            _logger.LogInformation(
                "🔧 高性能求解器创建完成，类型：{SolverType}，时间限制：{TimeLimit}s，线程数：{ThreadCount}",
                SOLVER_TYPE,
                MAX_SOLVER_TIME_SECONDS,
                configuredThreadCount);

            return solver;
        }
'@;
$newBlock = $newBlockText -split "`n";
$prefix = if ($start -gt 0) { $lines[0..($start-1)] } else { @() };
$suffix = if ($end -lt $lines.Count - 1) { $lines[($end+1)..($lines.Count-1)] } else { @() };
$updated = @();
$updated += $prefix;
$updated += $newBlock;
$updated += $suffix;
Set-Content -Path $path -Value $updated -Encoding UTF8;


Output: {"output":"","metadata":{"exit_code":0,"duration_seconds":1.5}}


**Verifying method execution**


Select-String -Path "NPP.SmartSchedue.Api\Services\Integration\Algorithms\LinearProgrammingEngine.cs" -Pattern "CreateAdvancedSolver" -Context 0,25


Output: {"output":"\r\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:61:                using var solver = \u001b[7mCreateAdvancedSolver\u001b[0m();\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:62:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:63:                // 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)\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:64:                var decisionVariables = BuildDecisionVariables(solver, context);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:65:                _logger.LogDebug(\"📊 决策变量构建完成 - 变量数量：{VariableCount}\",\u001b[0m\r\n\u001b[7m\u001b[0m decisionVariables.Count);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:66:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:67:                // 第三步：构建辅助变量 (支持复杂约束建模)\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:68:                var auxiliaryVariables = BuildAuxiliaryVariables(solver, context, d\u001b[0m\r\n\u001b[7m\u001b[0mecisionVariables);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:69:                _logger.LogDebug(\"🔧 辅助变量构建完成 - 辅助变量数量：{AuxCount}\", \u001b[0m\r\n\u001b[7m\u001b[0mauxiliaryVariables.Count);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:70:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:71:                // 第四步：Level 1 基础约束 - 对应遗传算法的基础约束验证\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:72:                await AddLevel1BasicConstraints(solver, decisionVariables, auxiliar\u001b[0m\r\n\u001b[7m\u001b[0myVariables, context);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:73:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:74:                // 第五步：Level 2 组合约束 - 对应遗传算法的组合约束验证  \u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:75:                await AddLevel2CombinationConstraints(solver, decisionVariables, au\u001b[0m\r\n\u001b[7m\u001b[0mxiliaryVariables, context);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:76:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:77:                // 第六步：Level 3 业务约束 - 对应遗传算法的业务逻辑约束\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:78:                await AddLevel3BusinessConstraints(solver, decisionVariables, auxil\u001b[0m\r\n\u001b[7m\u001b[0miaryVariables, context);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:79:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:80:                // 第七步：公平性约束 - 对应遗传算法的负载均衡机制\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:81:                AddFairnessConstraints(solver, decisionVariables, auxiliaryVariable\u001b[0m\r\n\u001b[7m\u001b[0ms, context);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:82:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:83:                // 第八步：设置多维度目标函数 - 对应遗传算法的适应度函数\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:84:                SetEnhancedObjectiveFunction(solver, decisionVariables, auxiliaryVa\u001b[0m\r\n\u001b[7m\u001b[0mriables, context);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:85:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:86:                // 第九步：执行求解\u001b[0m\r\n> NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:112:        private Solver \u001b[7mCreateAdvancedSolver\u001b[0m()\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:113:        {\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:114:            var solver = Solver.CreateSolver(SOLVER_TYPE)\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:115:                ?? throw new InvalidOperationException(\"无法创建增强版线性规划求解\u001b[0m\r\n\u001b[7m\u001b[0m器\");\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:116:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:117:            var timeLimitInMilliseconds = (long)TimeSpan.FromSeconds(MAX_SOLVER_TI\u001b[0m\r\n\u001b[7m\u001b[0mME_SECONDS).TotalMilliseconds;\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:118:            solver.SetTimeLimit(timeLimitInMilliseconds);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:119:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:120:            var configuredThreadCount = Math.Max(Environment.ProcessorCount, 1); /\u001b[0m\r\n\u001b[7m\u001b[0m/ CBC 要求线程数至少为1\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:121:            solver.SetNumThreads(configuredThreadCount);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:122:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:123:            const string solverParameterString = \"cuts=1 heuristics=1 presolve=1\";\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:124:            solver.SetSolverSpecificParametersAsString(solverParameterString);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:125:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:126:            _logger.LogInformation(\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:127:                \"🔧 高性能求解器创建完成，类型：{SolverType}，时间限制：{TimeLimit\u001b[0m\r\n\u001b[7m\u001b[0m}s，线程数：{ThreadCount}\",\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:128:                SOLVER_TYPE,\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:129:                MAX_SOLVER_TIME_SECONDS,\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:130:                configuredThreadCount);\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:131:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:132:            return solver;\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:133:        }\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:134:\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:135:        /// <summary>\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:136:        /// 【Ultra think增强】构建决策变量 - 集成人员班次不可用性的智能变量生成\u001b[0m\r\n\u001b[7m\u001b[0m  NPP.SmartSchedue.Api\\Services\\Integration\\Algorithms\\LinearProgrammingEngine.cs:137:        /// 【核心优化】：在变量创建阶段就排除不可用组合，大幅提升求解效率\u001b[0m\r\n\r\n","metadata":{"exit_code":0,"duration_seconds":1.6}}


**Updating method and plan status**


Explanation: 求解器创建逻辑已重构，下一步梳理常量及日志信息以保持配置一致性。

整理相关常量的使用与日志输出，确保遵循 KISS/YAGNI


Output: Plan updated


Summary: auto


**Cleaning up unused constants**


$path = "NPP.SmartSchedue.Api\Services\Integration\Algorithms\LinearProgrammingEngine.cs"; $lines = Get-Content -Path $path; $filtered = $lines | Where-Object { $_ -notmatch "OPTIMALITY_TOLERANCE" -and $_ -notmatch "MAX_CONSTRAINT_COUNT" }; Set-Content -Path $path -Value $filtered -Encoding UTF8;


Output: {"output":"","metadata":{"exit_code":0,"duration_seconds":1.5}}


**Checking comment removal impact**


Get-Content -Path "NPP.SmartSchedue.Api\Services\Integration\Algorithms\LinearProgrammingEngine.cs" -TotalCount 40


Output: {"output":"using System;\r\nusing System.Collections.Generic;\r\nusing System.Linq;\r\nusing System.Threading.Tasks;\r\nusing Google.OrTools.LinearSolver;\r\nusing Microsoft.Extensions.Logging;\r\nusing NPP.SmartSchedue.Api.Contracts.Domain.Work;\r\nusing NPP.SmartSchedue.Api.Contracts.Domain.Personnel;\r\nusing NPP.SmartSchedue.Api.Contracts.Services.Integration.Internal;\r\nusing NPP.SmartSchedue.Api.Contracts.Services.Integration.Output;\r\n\r\nnamespace NPP.SmartSchedue.Api.Services.Integration.Algorithms\r\n{\r\n    /// <summary>\r\n    /// 增强版线性规划引擎 - 实现遗传算法中的所有复杂约束\r\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\r\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\r\n    /// 技术架构：Google OR-Tools + 分层约束建模 + 自适应权重优化\r\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\r\n    /// </summary>\r\n    public class LinearProgrammingEngine\r\n    {\r\n        private readonly ILogger<LinearProgrammingEngine> _logger;\r\n        private readonly ShiftRuleValidationEngine _shiftRuleEngine;\r\n        \r\n        // 求解器配置 - 增强版配置支持复杂约束\r\n        private const string SOLVER_TYPE = \"CBC_MIXED_INTEGER_PROGRAMMING\";\r\n        private const int MAX_SOLVER_TIME_SECONDS = 600; // 增加到10分钟支持复杂约束\r\n        \r\n        // 约束权重配置 - 对应遗传算法的三级约束体系\r\n        private const double LEVEL1_CONSTRAINT_PENALTY = 1000000.0; // Level 1: 基础约束严厉惩罚\r\n        private const double LEVEL2_CONSTRAINT_PENALTY = 100000.0;  // Level 2: 组合约束重度惩罚  \r\n        private const double LEVEL3_CONSTRAINT_PENALTY = 10000.0;   // Level 3: 业务约束中度惩罚\r\n        private const double FAIRNESS_REWARD_FACTOR = 1000.0;       // 公平性奖励系数\r\n\r\n        public LinearProgrammingEngine(\r\n            ILogger<LinearProgrammingEngine> logger,\r\n            ShiftRuleValidationEngine shiftRuleEngine)\r\n        {\r\n            _logger = logger ?? throw new ArgumentNullException(nameof(logger));\r\n","metadata":{"exit_code":0,"duration_seconds":1.1}}


**Marking step completed**


Explanation: 已清理未使用常量并同步日志输出信息，求解器配置保持精简一致。

整理相关常量的使用与日志输出，确保遵循 KISS/YAGNI


Output: Plan updated


**Considering running dotnet format**