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pomdp-mcp-server

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MCP服务器实现POMDP研发任务拆解

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import { logger } from '../bin/logger.js'; /** * 使用POMDP方法分解研发任务 * @param taskDescription 任务自然语言描述 * @returns 研发方案文本 */ export async function pomdpTaskDecomposer(taskDescription) { try { logger.log(`开始分解任务: ${taskDescription}`); // 任务分解逻辑 // 注意:这里是一个简化的实现,实际应用中应该包含更复杂的POMDP模型和算法 // 1. 解析任务描述 const parsedTask = parseTaskDescription(taskDescription); // 2. 规划任务分解(POMDP方法) const decompositionPlan = createDecompositionPlan(parsedTask); // 3. 生成详细研发方案 const developmentPlan = generateDevelopmentPlan(decompositionPlan); logger.log("任务分解完成"); return developmentPlan; } catch (error) { logger.error("任务分解过程中发生错误:", error instanceof Error ? error.message : String(error)); throw new Error(`任务分解失败: ${error instanceof Error ? error.message : String(error)}`); } } function parseTaskDescription(taskDescription) { logger.log("解析任务描述..."); // 分析任务关键要素 const taskElements = { goal: extractGoal(taskDescription), constraints: extractConstraints(taskDescription), scope: extractScope(taskDescription), technologies: extractTechnologies(taskDescription), }; return taskElements; } /** * 从任务描述中提取主要目标 */ function extractGoal(text) { // 此处应实现目标提取逻辑 // 简化实现,可以使用更复杂的NLP技术来提取 return "从任务描述中提取的主要目标"; } /** * 提取项目约束条件 */ function extractConstraints(text) { // 此处应实现约束提取逻辑 return ["约束1", "约束2"]; } /** * 提取项目范围 */ function extractScope(text) { // 此处应实现范围提取逻辑 return "项目范围描述"; } /** * 提取相关技术要求 */ function extractTechnologies(text) { // 此处应实现技术要求提取逻辑 return ["技术1", "技术2"]; } function createDecompositionPlan(taskElements) { logger.log("使用POMDP方法创建任务分解计划..."); // POMDP分解步骤 // 1. 定义状态空间 const states = defineStateSpace(taskElements); // 2. 定义行动空间 const actions = defineActionSpace(taskElements); // 3. 定义观察空间 const observations = defineObservationSpace(taskElements); // 4. 执行POMDP推理获得最优策略 const optimalPolicy = solvePomdp(states, actions, observations, taskElements); // 5. 从策略生成任务分解结构 const decompositionStructure = generateDecompositionFromPolicy(optimalPolicy); return decompositionStructure; } function defineStateSpace(taskElements) { // 这里应该实现状态空间的定义 // 简化实现 return [ { id: "initial", description: "初始状态" }, { id: "requirements_analyzed", description: "需求已分析" }, { id: "design_complete", description: "设计已完成" }, { id: "implementation_complete", description: "实现已完成" }, { id: "testing_complete", description: "测试已完成" }, { id: "deployment_ready", description: "准备好部署" } ]; } function defineActionSpace(taskElements) { // 这里应该实现行动空间的定义 // 简化实现 return [ { id: "analyze_requirements", description: "分析需求" }, { id: "create_design", description: "创建设计" }, { id: "implement_features", description: "实现功能" }, { id: "write_tests", description: "编写测试" }, { id: "prepare_deployment", description: "准备部署" } ]; } function defineObservationSpace(taskElements) { // 这里应该实现观察空间的定义 // 简化实现 return [ { id: "requirements_clear", description: "需求清晰" }, { id: "requirements_ambiguous", description: "需求模糊" }, { id: "design_feasible", description: "设计可行" }, { id: "design_challenging", description: "设计具有挑战性" }, { id: "implementation_straightforward", description: "实现直接" }, { id: "implementation_complex", description: "实现复杂" } ]; } function solvePomdp(states, actions, observations, taskElements) { // 这里应实现POMDP求解算法 // 简化实现 return { policySteps: [ { state: "initial", bestAction: "analyze_requirements" }, { state: "requirements_analyzed", bestAction: "create_design" }, { state: "design_complete", bestAction: "implement_features" }, { state: "implementation_complete", bestAction: "write_tests" }, { state: "testing_complete", bestAction: "prepare_deployment" } ] }; } /** * 从POMDP最优策略生成任务分解结构 */ function generateDecompositionFromPolicy(policy) { console.log("从POMDP策略生成任务分解结构..."); // 简化实现 return { phases: [ { name: "需求分析阶段", tasks: [ { name: "理解业务需求", description: "深入理解业务目标和用户需求" }, { name: "定义功能范围", description: "明确系统功能范围和边界" }, { name: "创建需求文档", description: "编写详细需求规格说明书" } ] }, { name: "设计阶段", tasks: [ { name: "系统架构设计", description: "设计整体系统架构和组件交互" }, { name: "数据模型设计", description: "设计数据结构和数据流" }, { name: "接口设计", description: "设计API和用户界面" } ] }, { name: "实现阶段", tasks: [ { name: "核心功能开发", description: "实现核心业务逻辑" }, { name: "辅助功能开发", description: "实现支持性功能" }, { name: "集成开发", description: "集成各模块和外部系统" } ] }, { name: "测试阶段", tasks: [ { name: "单元测试", description: "测试各功能单元" }, { name: "集成测试", description: "测试模块集成" }, { name: "系统测试", description: "全面系统功能测试" } ] }, { name: "部署阶段", tasks: [ { name: "环境准备", description: "准备部署环境" }, { name: "部署配置", description: "配置部署参数" }, { name: "上线计划", description: "制定上线和回滚策略" } ] } ], dependencies: [ { from: "需求分析阶段", to: "设计阶段" }, { from: "设计阶段", to: "实现阶段" }, { from: "实现阶段", to: "测试阶段" }, { from: "测试阶段", to: "部署阶段" } ], risks: [ { name: "需求变更风险", mitigation: "采用敏捷开发方法,频繁迭代和反馈" }, { name: "技术难题风险", mitigation: "提前进行技术可行性验证,必要时寻求专家支持" }, { name: "进度延误风险", mitigation: "设置缓冲时间,关键路径管理" } ] }; } /** * 生成详细的研发方案 */ function generateDevelopmentPlan(decompositionStructure) { logger.log("生成详细研发方案..."); // 格式化研发方案 let plan = `# 研发任务分解方案\n\n`; // 添加项目概述 plan += `## 1. 项目概述\n\n`; plan += `本方案基于POMDP (部分可观察马尔可夫决策过程) 方法对研发任务进行系统化分解。\n\n`; // 添加开发阶段 plan += `## 2. 开发阶段\n\n`; decompositionStructure.phases.forEach((phase, index) => { plan += `### 2.${index + 1} ${phase.name}\n\n`; phase.tasks.forEach((task, taskIndex) => { plan += `${taskIndex + 1}. **${task.name}**: ${task.description}\n`; }); plan += '\n'; }); // 添加依赖关系 plan += `## 3. 阶段依赖关系\n\n`; decompositionStructure.dependencies.forEach((dep, index) => { plan += `- ${dep.from}${dep.to}\n`; }); plan += '\n'; // 添加风险管理 plan += `## 4. 风险管理\n\n`; decompositionStructure.risks.forEach((risk, index) => { plan += `- **${risk.name}**: ${risk.mitigation}\n`; }); plan += '\n'; // 添加时间估计(简化示例) plan += `## 5. 时间估计\n\n`; plan += `- 需求分析阶段: 1-2周\n`; plan += `- 设计阶段: 1-2周\n`; plan += `- 实现阶段: 3-4周\n`; plan += `- 测试阶段: 1-2周\n`; plan += `- 部署阶段: 3-5天\n\n`; // 添加结论 plan += `## 6. 结论\n\n`; plan += `本研发方案通过POMDP方法进行了系统化的任务分解,考虑了不确定性和部分可观察性,`; plan += `提供了清晰的开发路线图和风险管理策略。根据项目实际进展情况,可能需要对方案进行动态调整。\n`; return plan; } //# sourceMappingURL=pomdp-decomposer.js.map