pomdp-mcp-server
Version:
MCP服务器实现POMDP研发任务拆解
235 lines • 9.67 kB
JavaScript
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;
}
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