feat: T-1.21 + T-1.22 + P1-23 — 打通 dispatch→Worker→merge 全链路
T-1.21 (P1-22): Dispatch → Worker 桥接 - eng_mode: spawn_workers() 为每个 ready 任务生成标准 Skill 调用参数 - commands/eng.md: dispatch 段从意图描述改为可执行5步伪代码 Agent 不再需要猜测工具名、参数格式、task-text 来源 T-1.22 (P1-24): Merge → TaskGraph 状态同步 - merge_worker_result Phase 6.5: 写回 task-graph.json 节点 status - merge 后节点状态 DONE,ready_tasks() 过滤已完成任务 _select_ready_tasks 修复: - DAG ready 为空时不再 fallback 到 todo.md(todo.md 状态陈旧时导致重复派发) P1-23: commands/eng.md dispatch 指令操作化 - 保留 Eng 工具白名单不变(极端接管需要 Write/Edit) - Arc/Eng 约束非对称性是刻意的设计决策 63+4 项测试全通过,含端到端全链路测试 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
@@ -31,11 +31,8 @@ python "$HOME/plugins/airplan/scripts/airplan.py" --mode eng --project . --sub s
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```
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```
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然后:
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然后:
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- 无活跃波次 → 派发下一波次
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- 无活跃波次 → 执行 dispatch 流程(见下方 dispatch 段)
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- 有活跃 Worker → 监控,不要盲目重新派发
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- 有活跃 Worker → 执行 monitor,不要盲目重新派发
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- 每个 dispatched 任务 spawn 一个 /do 子代理(fork_context=false)
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- 只传递项目路径+任务 handoff 内容,不要 fork 完整父对话
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- 最多 recommendedConcurrency 个 Worker 同时活跃
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- 就绪结果出现时:merge through `--sub merge --result <path>`
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- 就绪结果出现时:merge through `--sub merge --result <path>`
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### status
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### status
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@@ -56,7 +53,23 @@ python "$HOME/plugins/airplan/scripts/airplan.py" --mode eng --project . --sub p
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python "$HOME/plugins/airplan/scripts/airplan.py" --mode eng --project . --sub dispatch
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python "$HOME/plugins/airplan/scripts/airplan.py" --mode eng --project . --sub dispatch
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```
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```
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读取 AirPlan/state/aireng/dispatch/ 中的派发清单,为每个任务 spawn 一个隔离的 /do Worker 子代理。
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dispatch 返回 `{waveId, taskIds, dispatchPath}`。**然后按以下步骤操作,不可跳过**:
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1. 从 dispatch 返回值中取 `taskIds` 列表
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2. 对 `taskIds` 中的**每个** `tid`,顺序执行:
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a. 读 `AirPlan/state/airarc/reviews/task-graph.json`,从 `nodes[tid].task` 取任务描述文本
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b. 调用 `Skill` 工具启动子代理:
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- `skill`: `"airplan"`
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- `args`: `"do --sub enter --task-id {tid} --task-text '{task描述}' --project ."`
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c. 每个 `Skill` 调用自动以 `fork_context=false` 运行,创建隔离的 Do Worker
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3. 所有 Worker spawn 完成后,进入 monitor 状态
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4. Worker 完成后,对其 `result.json` 调用 `--sub merge --result <path>`
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5. merge 后 `task-graph.json` 节点状态自动同步为 DONE,不会被重复派发
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**注意**:
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- 一个 task 对应一次 `Skill("airplan", ...)` 调用,多个 task 可以在同一条消息中并发发起
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- task-text 从 task-graph.json 获取,不是猜的
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- Do Worker 子代理的 allowed-tools 是 `[Read, Glob, Grep, Bash, Write, Edit]`,Agent 框架自动应用
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### monitor
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### monitor
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@@ -556,6 +556,16 @@ def merge_worker_result(project_root: Path, result_path: Path) -> dict:
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state["lastMergeAt"] = now_iso()
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state["lastMergeAt"] = now_iso()
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atomic_json_write(paths["state"], state)
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atomic_json_write(paths["state"], state)
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# Phase 6.5: 同步 task-graph.json 节点状态(P1-24)
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tg_json = airplan_root(project_root) / "state" / "airarc" / "reviews" / "task-graph.json"
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if tg_json.exists():
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from air_runtime.modes.arc_mode import _export_task_graph_json
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graph = TaskGraph.load(tg_json)
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if task_id in graph.nodes:
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new_status = "DONE" if status == "done" else status.upper()
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graph.nodes[task_id].status = new_status
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_export_task_graph_json(graph, tg_json)
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log.emit(MERGE_COMPLETED, {
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log.emit(MERGE_COMPLETED, {
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"taskId": task_id,
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"taskId": task_id,
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"status": status,
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"status": status,
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@@ -586,17 +596,17 @@ def merge_worker_result(project_root: Path, result_path: Path) -> dict:
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def _select_ready_tasks(project_root: Path, max_count: int) -> list[str]:
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def _select_ready_tasks(project_root: Path, max_count: int) -> list[str]:
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"""优先从 task-graph.json 的 DAG 计算 in-degree 为 0 的 TODO task,fallback parse_tasks。"""
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"""优先从 task-graph.json 的 DAG 计算 in-degree 为 0 的 TODO task。
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DAG 中 ready 为空意味着无任务可派发(全部完成或全部被依赖阻塞),不应 fallback 到 todo.md。"""
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task_graph_json = airplan_root(project_root) / "state" / "airarc" / "reviews" / "task-graph.json"
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task_graph_json = airplan_root(project_root) / "state" / "airarc" / "reviews" / "task-graph.json"
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if task_graph_json.exists():
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if task_graph_json.exists():
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try:
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try:
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graph = TaskGraph.load(task_graph_json)
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graph = TaskGraph.load(task_graph_json)
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ready = graph.ready_tasks()
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ready = graph.ready_tasks()
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if ready:
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return ready[:max_count] # 空列表也是正确答案,不 fallback
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return ready[:max_count]
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except Exception:
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except Exception:
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pass
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pass
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# fallback
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# fallback:仅在 task-graph.json 不存在时使用 todo.md
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todo = get_todo_path(project_root)
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todo = get_todo_path(project_root)
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if not todo.exists():
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if not todo.exists():
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return []
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return []
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@@ -604,6 +614,25 @@ def _select_ready_tasks(project_root: Path, max_count: int) -> list[str]:
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return [t.task_id for t in tasks if t.status == "TODO"][:max_count]
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return [t.task_id for t in tasks if t.status == "TODO"][:max_count]
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def spawn_workers(project_root: Path, task_ids: list[str]) -> list[dict]:
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"""T-1.21: 为每个 ready 任务准备 spawn 指令,返回 Agent 可直接消费的 Skill 调用参数列表。
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不实际启动子进程——启动由 Agent 框架的 Skill 工具完成。
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"""
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tg_json = airplan_root(project_root) / "state" / "airarc" / "reviews" / "task-graph.json"
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graph = TaskGraph.load(tg_json) if tg_json.exists() else TaskGraph()
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instructions = []
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for tid in task_ids:
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node = graph.nodes.get(tid)
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task_text = node.task if node else ""
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instructions.append({
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"skill": "airplan",
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"args": f"do --sub enter --task-id {tid} --task-text '{task_text}' --project .",
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"taskId": tid,
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"taskText": task_text,
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})
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return instructions
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def handle_adr_invalidation(project_root: Path, adr_id: str) -> dict:
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def handle_adr_invalidation(project_root: Path, adr_id: str) -> dict:
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"""P1-21: ADR 变更级联失效处理。
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"""P1-21: ADR 变更级联失效处理。
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271
test_t_121_122.py
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271
test_t_121_122.py
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@@ -0,0 +1,271 @@
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#!/usr/bin/env python3
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"""T-1.21 + T-1.22 端到端测试:arc → eng → do → merge → task-graph sync 全链路"""
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import sys
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import tempfile
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import json
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent / "lib"))
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def test_spawn_workers():
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"""测试 spawn_workers 返回正确的 Skill 调用参数"""
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from air_runtime.task_graph import TaskGraph, TaskNode
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from air_runtime.modes.arc_mode import _export_task_graph_json
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from air_runtime.modes.eng_mode import spawn_workers
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with tempfile.TemporaryDirectory() as tmpdir:
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root = Path(tmpdir)
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arc_dir = root / "AirPlan" / "state" / "airarc" / "reviews"
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arc_dir.mkdir(parents=True, exist_ok=True)
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graph = TaskGraph()
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graph.add_node(TaskNode(id="G-001", status="TODO", task="实现视频解码器",
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files_dirs="src/decoder.cpp"))
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graph.add_node(TaskNode(id="G-002", status="TODO", task="实现音频解码器",
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files_dirs="src/audio.cpp"))
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_export_task_graph_json(graph, arc_dir / "task-graph.json")
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instructions = spawn_workers(root, ["G-001", "G-002"])
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assert len(instructions) == 2
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assert instructions[0]["skill"] == "airplan"
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assert "do --sub enter --task-id G-001" in instructions[0]["args"]
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assert "实现视频解码器" in instructions[0]["args"]
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assert instructions[1]["taskId"] == "G-002"
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print("✓ spawn_workers 测试通过")
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return True
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def test_merge_syncs_task_graph():
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"""P1-24: 测试 merge 后 task-graph.json 节点状态同步"""
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from air_runtime.task_graph import TaskGraph, TaskNode
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from air_runtime.modes.arc_mode import _export_task_graph_json, ArcPhaseGate
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from air_runtime.modes.eng_mode import enter_engine, merge_worker_result
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from air_runtime.modes.do_mode import enter_worker, finish_worker
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from air_runtime.contracts import WorkerResult
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with tempfile.TemporaryDirectory() as tmpdir:
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root = Path(tmpdir)
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# Arc 准备
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from air_runtime.modes.arc_mode import enter_mode, parallel_review_mode
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enter_mode(root)
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gate = ArcPhaseGate(root / "AirPlan" / "state" / "airarc" / "state.json")
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gate.advance_to("confirmed")
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todo = root / "AirPlan" / "todo.md"
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todo.parent.mkdir(parents=True, exist_ok=True)
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todo.write_text("| Task | Status | Files/Dirs | Done When |\n"
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"|------|--------|------------|-----------|\n"
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"| G-001 解码器 | TODO | src/decoder.cpp | 编译通过 |\n")
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parallel_review_mode(root, todo)
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# Eng 初始化
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enter_engine(root)
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# 验证 merge 前 task-graph 中 G-001 是 TODO
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tg_json = root / "AirPlan" / "state" / "airarc" / "reviews" / "task-graph.json"
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graph = TaskGraph.load(tg_json)
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assert "G-001" in graph.nodes
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assert graph.nodes["G-001"].status == "TODO"
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print(f" merge 前: G-001 status = {graph.nodes['G-001'].status}")
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# Do Worker 执行
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w = enter_worker(root, "G-001", task_text="G-001 解码器")
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wr = WorkerResult(task_id="G-001", status="done", summary="完成",
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files_changed=["src/decoder.cpp"], validations="编译通过")
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rpath = root / "AirPlan" / "state" / "airdo" / "tasks" / "G-001" / "result.json"
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rpath.parent.mkdir(parents=True, exist_ok=True)
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rpath.write_text(json.dumps(wr.to_dict()))
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f = finish_worker(root, "G-001", rpath)
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print(f" Do finish: status={f['status']}, route={f['routingDecision']['target']}")
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# Eng merge
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m = merge_worker_result(root, rpath)
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print(f" Eng merge: task={m['taskId']}, status={m['status']}")
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# 验证 merge 后 task-graph 中 G-001 是 DONE
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graph_after = TaskGraph.load(tg_json)
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assert graph_after.nodes["G-001"].status == "DONE", \
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f"merge 后 G-001 应为 DONE,实际: {graph_after.nodes['G-001'].status}"
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print(f" merge 后: G-001 status = {graph_after.nodes['G-001'].status}")
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# 验证不会重复派发(ready_tasks 不包含已完成的 G-001)
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ready = graph_after.ready_tasks()
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assert "G-001" not in ready, f"G-001 不应在 ready 队列中: {ready}"
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print(f" ready queue: {ready}")
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print("✓ merge 同步 task-graph 状态测试通过")
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return True
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def test_full_pipeline_e2e():
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"""完整端到端流水线:arc → eng plan → dispatch → do → merge → task-graph sync"""
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from air_runtime.task_graph import TaskGraph
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from air_runtime.modes.arc_mode import enter_mode, parallel_review_mode, ArcPhaseGate, _export_task_graph_json
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from air_runtime.modes.eng_mode import (enter_engine, build_engine_plan,
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dispatch_worker_group, spawn_workers,
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merge_worker_result)
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from air_runtime.modes.do_mode import enter_worker, finish_worker
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from air_runtime.contracts import WorkerResult
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with tempfile.TemporaryDirectory() as tmpdir:
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root = Path(tmpdir)
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# ============ ARC ============
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enter_mode(root)
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gate = ArcPhaseGate(root / "AirPlan" / "state" / "airarc" / "state.json")
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gate.advance_to("confirmed")
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todo = root / "AirPlan" / "todo.md"
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todo.parent.mkdir(parents=True, exist_ok=True)
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todo.write_text("| Task | Status | Files/Dirs | Done When |\n"
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"|------|--------|------------|-----------|\n"
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"| H-000 前置 | DONE | | 完成 |\n"
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"| G-001 解码器 | TODO | src/decoder.cpp | 编译通过 |\n"
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"| G-002 编码器 | TODO | src/encoder.cpp | 编译通过 |\n")
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r = parallel_review_mode(root, todo)
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assert not r.get("blocked"), f"Arc blocked: {r.get('reason')}"
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print("1. ARC parallel-review ✓")
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# ============ ENG PLAN ============
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enter_engine(root)
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plan = build_engine_plan(root, todo)
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assert plan["planningSource"] == "airarc-execution-plan"
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assert "G-001" in plan["selectedTasks"]
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assert "G-002" in plan["selectedTasks"]
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print(f"2. ENG plan: tasks={plan['selectedTasks']}")
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# ============ ENG DISPATCH ============
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dispatch = dispatch_worker_group(root)
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assert not dispatch.get("blocked"), f"dispatch blocked: {dispatch.get('reason')}"
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assert len(dispatch["taskIds"]) >= 2
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print(f"3. ENG dispatch: wave={dispatch['waveId']}, tasks={dispatch['taskIds']}")
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# ============ SPAWN INSTRUCTIONS ============
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instructions = spawn_workers(root, dispatch["taskIds"])
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assert len(instructions) >= 2
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for inst in instructions:
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assert inst["skill"] == "airplan"
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assert "do --sub enter --task-id" in inst["args"]
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assert inst["taskText"] # 不能为空
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print(f"4. spawn_workers: {len(instructions)} 个 Worker 指令准备完成")
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for inst in instructions:
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print(f" - {inst['taskId']}: {inst['taskText'][:40]}")
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# ============ DO WORKER (模拟 Agent 调 Skill) ============
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for inst in instructions:
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tid = inst["taskId"]
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task_text = inst["taskText"]
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w = enter_worker(root, tid, task_text=task_text)
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wr = WorkerResult(task_id=tid, status="done", summary="完成",
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files_changed=[f"src/{tid.lower()}.cpp"],
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validations="编译通过")
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rpath = root / "AirPlan" / "state" / "airdo" / "tasks" / tid / "result.json"
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rpath.parent.mkdir(parents=True, exist_ok=True)
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rpath.write_text(json.dumps(wr.to_dict()))
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f = finish_worker(root, tid, rpath)
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|
assert f["routingDecision"]["target"] == "merge"
|
||||||
|
print("5. DO Workers 全部完成 (G-001, G-002)")
|
||||||
|
|
||||||
|
# ============ ENG MERGE ============
|
||||||
|
for inst in instructions:
|
||||||
|
tid = inst["taskId"]
|
||||||
|
rpath = root / "AirPlan" / "state" / "airdo" / "tasks" / tid / "result.json"
|
||||||
|
m = merge_worker_result(root, rpath)
|
||||||
|
assert m["status"] == "done"
|
||||||
|
print("6. ENG merge 全部完成")
|
||||||
|
|
||||||
|
# ============ VERIFY TASK-GRAPH SYNC ============
|
||||||
|
tg_json = root / "AirPlan" / "state" / "airarc" / "reviews" / "task-graph.json"
|
||||||
|
graph_after = TaskGraph.load(tg_json)
|
||||||
|
assert graph_after.nodes["G-001"].status == "DONE", \
|
||||||
|
f"G-001 应为 DONE,实际: {graph_after.nodes['G-001'].status}"
|
||||||
|
assert graph_after.nodes["G-002"].status == "DONE", \
|
||||||
|
f"G-002 应为 DONE,实际: {graph_after.nodes['G-002'].status}"
|
||||||
|
print(f"7. task-graph sync: G-001={graph_after.nodes['G-001'].status}, "
|
||||||
|
f"G-002={graph_after.nodes['G-002'].status}")
|
||||||
|
|
||||||
|
# ============ VERIFY NO RE-DISPATCH ============
|
||||||
|
ready_after = graph_after.ready_tasks()
|
||||||
|
assert "G-001" not in ready_after
|
||||||
|
assert "G-002" not in ready_after
|
||||||
|
# H-000 是 DONE,也不在 ready
|
||||||
|
# 只有 T-TEST-* 还在 TODO
|
||||||
|
print(f"8. 无重复派发: ready={ready_after}")
|
||||||
|
# 再次 dispatch 不应包含已完成任务
|
||||||
|
dispatch2 = dispatch_worker_group(root)
|
||||||
|
for done_tid in ["G-001", "G-002", "H-000"]:
|
||||||
|
assert done_tid not in dispatch2.get("taskIds", []), \
|
||||||
|
f"已完成任务 {done_tid} 不应再次被派发"
|
||||||
|
|
||||||
|
print(f"9. 二次 dispatch: tasks={dispatch2.get('taskIds', [])} (无已完成任务)")
|
||||||
|
print("✓ 完整端到端流水线测试通过")
|
||||||
|
return True
|
||||||
|
|
||||||
|
|
||||||
|
def test_dispatch_no_workers_means_no_dispatch():
|
||||||
|
"""测试所有任务完成后 dispatch 返回空"""
|
||||||
|
from air_runtime.task_graph import TaskGraph, TaskNode
|
||||||
|
from air_runtime.modes.arc_mode import _export_task_graph_json
|
||||||
|
from air_runtime.modes.eng_mode import dispatch_worker_group, enter_engine
|
||||||
|
from air_runtime.modes.arc_mode import enter_mode
|
||||||
|
|
||||||
|
with tempfile.TemporaryDirectory() as tmpdir:
|
||||||
|
root = Path(tmpdir)
|
||||||
|
enter_mode(root)
|
||||||
|
enter_engine(root)
|
||||||
|
|
||||||
|
# 所有任务都是 DONE
|
||||||
|
arc_dir = root / "AirPlan" / "state" / "airarc" / "reviews"
|
||||||
|
arc_dir.mkdir(parents=True, exist_ok=True)
|
||||||
|
graph = TaskGraph()
|
||||||
|
graph.add_node(TaskNode(id="G-001", status="DONE", task="已完成"))
|
||||||
|
graph.add_node(TaskNode(id="G-002", status="DONE", task="已完成"))
|
||||||
|
_export_task_graph_json(graph, arc_dir / "task-graph.json")
|
||||||
|
|
||||||
|
result = dispatch_worker_group(root)
|
||||||
|
assert result["taskIds"] == [], f"全部完成时应为空,实际: {result['taskIds']}"
|
||||||
|
print("✓ 全部完成时 dispatch 返回空测试通过")
|
||||||
|
return True
|
||||||
|
|
||||||
|
|
||||||
|
def main():
|
||||||
|
print("=" * 50)
|
||||||
|
print("T-1.21 + T-1.22 端到端全链路测试")
|
||||||
|
print("=" * 50)
|
||||||
|
|
||||||
|
tests = [
|
||||||
|
("spawn_workers", test_spawn_workers),
|
||||||
|
("merge 同步 task-graph", test_merge_syncs_task_graph),
|
||||||
|
("完整端到端流水线", test_full_pipeline_e2e),
|
||||||
|
("全完成时 dispatch 返回空", test_dispatch_no_workers_means_no_dispatch),
|
||||||
|
]
|
||||||
|
|
||||||
|
passed = 0
|
||||||
|
failed = 0
|
||||||
|
|
||||||
|
for name, test_fn in tests:
|
||||||
|
try:
|
||||||
|
test_fn()
|
||||||
|
passed += 1
|
||||||
|
except Exception as e:
|
||||||
|
print(f"✗ {name} 失败: {e}")
|
||||||
|
import traceback
|
||||||
|
traceback.print_exc()
|
||||||
|
failed += 1
|
||||||
|
|
||||||
|
print("=" * 50)
|
||||||
|
print(f"测试结果: {passed} 通过, {failed} 失败")
|
||||||
|
print("=" * 50)
|
||||||
|
return failed == 0
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
success = main()
|
||||||
|
sys.exit(0 if success else 1)
|
||||||
Reference in New Issue
Block a user