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https://github.com/catlog22/Claude-Code-Workflow.git
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rename: orchestrator.md → SKILL.md for issue-devpipeline
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catlog22
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.codex/skills/issue-devpipeline/SKILL.md
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.codex/skills/issue-devpipeline/SKILL.md
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---
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name: issue-devpipeline
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description: |
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Plan-and-Execute pipeline with Wave Pipeline pattern.
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Orchestrator coordinates planner (Deep Interaction) and executors (Parallel Fan-out).
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Planner produces wave queues, executors implement solutions concurrently.
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agents: 4
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phases: 4
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---
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# Issue DevPipeline
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边规划边执行流水线。编排器通过 Wave Pipeline 协调 planner 和 executor(s)：planner 完成一个 wave 的规划后输出执行队列，编排器立即为该 wave 派发 executor agents，同时 planner 继续规划下一 wave。
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## Architecture Overview
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```
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┌─────────────────────────────────────────────────────────────┐
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│ Orchestrator (this file) │
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│ → Parse input → Manage planner → Dispatch executors │
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└───────────┬──────────────────────────────────────┬──────────┘
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│ │
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┌──────┴──────┐ ┌──────────┴──────────┐
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│ Planner │ │ Executors (N) │
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│ (Deep │ │ (Parallel Fan-out) │
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│ Interaction│ │ │
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│ multi-round│ │ exec-1 exec-2 ... │
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└──────┬──────┘ └──────────┬──────────┘
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│ │
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┌──────┴──────┐ ┌──────────┴──────────┐
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│ issue-plan │ │ code-developer │
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│ issue-queue │ │ (role reference) │
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│ (existing) │ │ │
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└─────────────┘ └─────────────────────┘
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```
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**Wave Pipeline Flow**:
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```
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Planner Round 1 → Wave 1 queue
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↓ (spawn executors for wave 1)
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↓ send_input → Planner Round 2 → Wave 2 queue
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↓ (spawn executors for wave 2)
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...
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↓ Planner outputs "ALL_PLANNED"
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↓ wait for all executor agents
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↓ Aggregate results → Done
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```
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## Agent Registry
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| Agent | Role File | Responsibility | New/Existing |
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|-------|-----------|----------------|--------------|
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| `planex-planner` | `~/.codex/agents/planex-planner.md` | 需求拆解 → issue 创建 → 方案设计 → 队列编排 | New |
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| `planex-executor` | `~/.codex/agents/planex-executor.md` | 加载 solution → 代码实现 → 测试 → 提交 | New |
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| `issue-plan-agent` | `~/.codex/agents/issue-plan-agent.md` | Closed-loop: ACE 探索 + solution 生成 | Existing |
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| `issue-queue-agent` | `~/.codex/agents/issue-queue-agent.md` | Solution 排序 + 冲突检测 → 执行队列 | Existing |
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## Input Types
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支持 3 种输入方式（通过 orchestrator 参数传入）：
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| 输入类型 | 格式 | 示例 |
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|----------|------|------|
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| Issue IDs | 直接传入 ID | `ISS-20260215-001 ISS-20260215-002` |
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| 需求文本 | `--text '...'` | `--text '实现用户认证模块'` |
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| Plan 文件 | `--plan path` | `--plan plan/2026-02-15-auth.md` |
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## Phase Execution
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### Phase 1: Input Parsing (Orchestrator Inline)
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```javascript
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// Parse input arguments
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const args = orchestratorInput
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const issueIds = args.match(/ISS-\d{8}-\d{6}/g) || []
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const textMatch = args.match(/--text\s+['"]([^'"]+)['"]/)
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const planMatch = args.match(/--plan\s+(\S+)/)
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let inputType = 'unknown'
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if (issueIds.length > 0) inputType = 'issue_ids'
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else if (textMatch) inputType = 'text'
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else if (planMatch) inputType = 'plan_file'
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else inputType = 'text_from_description'
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const inputPayload = {
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type: inputType,
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issueIds: issueIds,
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text: textMatch ? textMatch[1] : args,
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planFile: planMatch ? planMatch[1] : null
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}
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```
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### Phase 2: Planning (Deep Interaction with Planner)
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```javascript
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// Track all agents for cleanup
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const allAgentIds = []
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// Spawn planner agent
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const plannerId = spawn_agent({
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message: `
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## TASK ASSIGNMENT
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### MANDATORY FIRST STEPS (Agent Execute)
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1. **Read role definition**: ~/.codex/agents/planex-planner.md (MUST read first)
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2. Read: .workflow/project-tech.json
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3. Read: .workflow/project-guidelines.json
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---
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Goal: 分析需求并完成第一波 (Wave 1) 的规划。输出执行队列。
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Input:
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${JSON.stringify(inputPayload, null, 2)}
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Scope:
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- Include: 需求分析、issue 创建、方案设计、队列编排
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- Exclude: 代码实现、测试执行、git 操作
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Deliverables:
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输出严格遵循以下 JSON 格式：
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\`\`\`json
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{
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"wave": 1,
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"status": "wave_ready" | "all_planned",
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"issues": ["ISS-xxx", ...],
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"queue": [
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{
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"issue_id": "ISS-xxx",
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"solution_id": "SOL-xxx",
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"title": "描述",
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"priority": "normal",
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"depends_on": []
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}
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],
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"remaining_issues": ["ISS-yyy", ...],
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"summary": "本波次规划摘要"
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}
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\`\`\`
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Quality bar:
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- 每个 issue 必须有绑定的 solution
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- 队列必须按依赖排序
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- 每波最多 5 个 issues
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`
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})
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allAgentIds.push(plannerId)
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// Wait for planner Wave 1 output
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let plannerResult = wait({ ids: [plannerId], timeout_ms: 900000 })
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if (plannerResult.timed_out) {
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send_input({ id: plannerId, message: "请尽快输出当前已完成的规划结果。" })
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plannerResult = wait({ ids: [plannerId], timeout_ms: 120000 })
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}
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// Parse planner output
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let waveData = parseWaveOutput(plannerResult.status[plannerId].completed)
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```
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### Phase 3: Wave Execution Loop
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```javascript
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const executorResults = []
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let waveNum = 0
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while (true) {
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waveNum++
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// ─── Dispatch executors for current wave (Parallel Fan-out) ───
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const waveExecutors = waveData.queue.map(entry =>
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spawn_agent({
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message: `
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## TASK ASSIGNMENT
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### MANDATORY FIRST STEPS (Agent Execute)
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1. **Read role definition**: ~/.codex/agents/planex-executor.md (MUST read first)
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2. Read: .workflow/project-tech.json
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3. Read: .workflow/project-guidelines.json
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---
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Goal: 实现 ${entry.issue_id} 的 solution
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Issue: ${entry.issue_id}
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Solution: ${entry.solution_id}
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Title: ${entry.title}
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Priority: ${entry.priority}
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Dependencies: ${entry.depends_on?.join(', ') || 'none'}
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Scope:
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- Include: 加载 solution plan、代码实现、测试运行、git commit
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- Exclude: issue 创建、方案修改、队列变更
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Deliverables:
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输出严格遵循以下格式：
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\`\`\`json
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{
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"issue_id": "${entry.issue_id}",
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"status": "success" | "failed",
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"files_changed": ["path/to/file", ...],
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"tests_passed": true | false,
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"committed": true | false,
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"commit_hash": "abc123" | null,
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"error": null | "错误描述",
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"summary": "实现摘要"
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}
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\`\`\`
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Quality bar:
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- solution plan 中的所有任务必须实现
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- 现有测试不能 break
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- 遵循项目编码规范
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- 每个变更必须 commit
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`
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})
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)
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allAgentIds.push(...waveExecutors)
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// ─── Check if more waves needed ───
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if (waveData.status === 'all_planned') {
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// No more waves — wait for current executors and finish
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const execResults = wait({ ids: waveExecutors, timeout_ms: 1200000 })
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waveExecutors.forEach((id, i) => {
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executorResults.push({
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wave: waveNum,
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issue: waveData.queue[i].issue_id,
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result: execResults.status[id]?.completed || 'timeout'
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})
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})
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break
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}
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// ─── Request next wave from planner (while executors run) ───
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send_input({
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id: plannerId,
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message: `
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## WAVE ${waveNum} 已派发
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已为 Wave ${waveNum} 创建 ${waveExecutors.length} 个 executor agents。
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## NEXT
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请继续规划下一波 (Wave ${waveNum + 1})。
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剩余 issues: ${JSON.stringify(waveData.remaining_issues)}
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输出格式同前。如果所有 issues 已规划完毕，status 设为 "all_planned"。
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`
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})
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// ─── Wait for both: executors (current wave) + planner (next wave) ───
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const allWaiting = [...waveExecutors, plannerId]
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const batchResult = wait({ ids: allWaiting, timeout_ms: 1200000 })
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// Collect executor results
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waveExecutors.forEach((id, i) => {
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executorResults.push({
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wave: waveNum,
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issue: waveData.queue[i].issue_id,
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result: batchResult.status[id]?.completed || 'timeout'
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})
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})
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// Parse next wave from planner
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if (batchResult.status[plannerId]?.completed) {
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waveData = parseWaveOutput(batchResult.status[plannerId].completed)
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} else {
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// Planner timed out — wait more
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const plannerRetry = wait({ ids: [plannerId], timeout_ms: 300000 })
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if (plannerRetry.timed_out) {
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// Abort pipeline
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break
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}
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waveData = parseWaveOutput(plannerRetry.status[plannerId].completed)
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}
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}
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```
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### Phase 4: Aggregation & Cleanup
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```javascript
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// ─── Aggregate results ───
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const succeeded = executorResults.filter(r => {
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try {
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const parsed = JSON.parse(r.result)
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return parsed.status === 'success'
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} catch { return false }
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})
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const failed = executorResults.filter(r => {
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try {
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const parsed = JSON.parse(r.result)
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return parsed.status === 'failed'
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} catch { return true }
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})
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// ─── Output final report ───
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const report = `
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## PlanEx Pipeline Complete
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**Waves**: ${waveNum}
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**Total Issues**: ${executorResults.length}
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**Succeeded**: ${succeeded.length}
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**Failed**: ${failed.length}
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### Results by Wave
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${executorResults.map(r => `- Wave ${r.wave} | ${r.issue} | ${(() => {
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try { return JSON.parse(r.result).status } catch { return 'error' }
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})()}`).join('\n')}
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${failed.length > 0 ? `### Failed Issues
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${failed.map(r => `- ${r.issue}: ${(() => {
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try { return JSON.parse(r.result).error } catch { return r.result.slice(0, 200) }
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})()}`).join('\n')}` : ''}
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`
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console.log(report)
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// ─── Lifecycle cleanup ───
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allAgentIds.forEach(id => {
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try { close_agent({ id }) } catch { /* already closed */ }
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})
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```
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## Helper Functions
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```javascript
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function parseWaveOutput(output) {
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// Extract JSON block from agent output
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const jsonMatch = output.match(/```json\s*([\s\S]*?)```/)
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if (jsonMatch) {
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try { return JSON.parse(jsonMatch[1]) } catch {}
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}
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// Fallback: try parsing entire output as JSON
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try { return JSON.parse(output) } catch {}
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// Last resort: return empty wave with all_planned
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return { wave: 0, status: 'all_planned', queue: [], remaining_issues: [], summary: 'Parse failed' }
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}
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```
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## Configuration
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```javascript
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const CONFIG = {
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sessionDir: ".workflow/.team/PEX-{slug}-{date}/",
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issueDataDir: ".workflow/issues/",
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maxWaveSize: 5,
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plannerTimeout: 900000, // 15 min
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executorTimeout: 1200000, // 20 min
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maxWaves: 10
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}
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```
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## Lifecycle Management
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### Timeout Handling
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| Scenario | Action |
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|----------|--------|
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| Planner wave timeout | send_input 催促收敛，retry wait 120s |
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| Executor timeout | 标记为 failed，继续其他 executor |
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| Batch wait partial timeout | 收集已完成结果，继续 pipeline |
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| Pipeline stall (> 2 waves timeout) | 中止 pipeline，输出部分结果 |
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### Cleanup Protocol
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```javascript
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// All agents tracked in allAgentIds
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// Final cleanup at end or on error
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allAgentIds.forEach(id => {
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try { close_agent({ id }) } catch { /* already closed */ }
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})
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```
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## Error Handling
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| Scenario | Resolution |
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|----------|------------|
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| Planner output parse failure | Retry with send_input asking for strict JSON |
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| No issues created | Report error, abort pipeline |
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| Solution planning failure | Skip issue, report in final results |
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| Executor implementation failure | Mark as failed, continue with other executors |
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| All executors in wave fail | Report wave failure, continue to next wave |
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| Planner exits early | Treat as all_planned, finish current wave |
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Reference in New Issue
Block a user