2c4b3340bf
Merges 8 V1 plugins into 1 unified plugin, adds 4 new components (dep, tst, sec, rvr). 12 sub-modes: arc, eng, do, dbg, xdb, sdb, ndb, ctx, dep, tst, sec, rvr. L1 code-level guarantees: atomic writes, file locks, evidence gating, forced debug routing, 3-phase arc gate, evidence-first debug gate, Chinese language lock, scheduler boundary. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
578 lines
23 KiB
Python
578 lines
23 KiB
Python
"""
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AirEng mode — V2 调度引擎。
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L1 代码级保障：硬编码轮询循环、Worker 超时、资源压力检测、事务化合并。
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"""
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from __future__ import annotations
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import json
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import os
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import time
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from datetime import datetime, timezone
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from pathlib import Path
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from air_runtime.io import atomic_json_write, safe_json_load
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from air_runtime.lock import FileLock
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from air_runtime.paths import (
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airplan_root, todo_path as get_todo_path, engine_state_path,
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event_log_path, plan_path, agents_path,
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)
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from air_runtime.events import EventLog, TASK_DISPATCHED, TASK_COMPLETED, TASK_BLOCKED, MERGE_STARTED, MERGE_COMPLETED, \
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INTERVENTION_STALL, ENGINE_CYCLE, WORKER_TIMEOUT, REPAIR_CREATED, REPAIR_RESOLVED
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from air_runtime.evidence_gate import EvidenceGatePolicy, EvidenceClass
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from air_runtime.modes.merge_pipeline import (
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apply_document_updates,
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enforce_doc_sync_requirements,
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sync_engine_managed_docs,
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update_todo_after_merge,
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)
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from air_runtime.task_graph import TaskGraph
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from air_runtime.todo_parser import parse_tasks
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from air_runtime.utils import now_iso, session_stamp, truncate_history
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WORKER_MAX_WALL_TIME = 7200 # 2小时硬上限
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DEFAULT_CONCURRENCY = 3
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MONITOR_INTERVAL_SECONDS = 300 # 5分钟
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AIRDBG_MAX_ATTEMPTS = 1 # AirDbg 升级最大尝试次数，超过则降级为串行重执行
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def check_worktree_merge_status(project_root: Path, task_id: str) -> dict:
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"""
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检查某 task 的 worktree 是否需要 merge 回主分支。
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如果 merge 失败（conflicts），自动升级到 AirDbg。
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再失败则降级为串行重执行。
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返回: {"status": "ok" | "upgraded_to_airdbg" | "downgraded_to_serial", ...}
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"""
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from air_runtime.worktree import WorktreeIsolation
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wt_path = project_root / ".git" / "worktrees" / f"air-{task_id}"
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if not wt_path.exists():
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return {"status": "ok"} # 无 worktree，正常
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# 尝试 merge 回主分支
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wt = WorktreeIsolation(repo_root=project_root)
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result = wt.merge_back(task_id, wt_path)
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if result.successful:
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# merge 成功，清理 worktree
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wt.cleanup(task_id, wt_path)
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return {"status": "ok", "conflicts": []}
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# merge 失败 → 升级到 AirDbg
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from air_runtime.modes.dbg_mode import start_session
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session = start_session(project_root, task_id)
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return {
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"status": "upgraded_to_airdbg",
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"taskId": task_id,
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"conflicts": result.conflicts,
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"sessionId": session.get("sessionId"),
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}
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def _paths(project_root: Path) -> dict[str, Path]:
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root = airplan_root(project_root) / "state" / "aireng"
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return {
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"root": root,
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"state": root / "state.json",
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"dispatch_dir": root / "dispatch",
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"archive_dir": root / "archive",
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"plan_dir": root / "plans",
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}
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def _ensure_dirs(paths: dict[str, Path]) -> None:
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for key in ("dispatch_dir", "archive_dir", "plan_dir"):
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paths[key].mkdir(parents=True, exist_ok=True)
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def _init_state(project_root: Path) -> dict:
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return {
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"enabled": True,
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"updatedAt": now_iso(),
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"projectRoot": str(project_root),
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"engineMode": "idle",
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"activeWaveId": "",
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"activeDispatchPath": "",
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"activeWorkers": [],
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"mergedResults": [],
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"pendingGlobalUpdates": [],
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"interventionHistory": [],
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"monitoringPolicy": {"checkIntervalSeconds": MONITOR_INTERVAL_SECONDS},
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"concurrency": DEFAULT_CONCURRENCY,
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"planningSource": "",
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"nextAction": "plan",
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"lastLoopAt": "",
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"lastInterventionAt": "",
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"xdbSessions": [],
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"debugSessions": [],
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"repairAttempts": [],
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"activeRepairCount": 0,
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"repairPolicy": {"enabled": True, "maxAttempts": 3},
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"xdbPolicy": {"enabled": True},
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"reviewPolicy": {"requireBeforeMerge": False, "maxRepairRounds": 3},
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"residualItems": [],
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"debugPolicy": {"enabled": True},
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}
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def enter_engine(project_root: Path) -> tuple[str, dict]:
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paths = _paths(project_root)
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_ensure_dirs(paths)
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state = _init_state(project_root)
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atomic_json_write(paths["state"], state)
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log = EventLog(event_log_path(project_root))
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log.emit("engine.entered")
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return str(paths["state"]), {}
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def status_engine(project_root: Path) -> dict:
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paths = _paths(project_root)
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return safe_json_load(paths["state"]) or _init_state(project_root)
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def build_engine_plan(project_root: Path, todo_path: Path) -> dict:
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paths = _paths(project_root)
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_ensure_dirs(paths)
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arc_reviews = airplan_root(project_root) / "state" / "airarc" / "reviews"
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plan_json = arc_reviews / "execution-plan.json"
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task_graph_json = arc_reviews / "task-graph.json"
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planning_source = "engine-fallback"
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plan_data: dict = {}
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if plan_json.exists():
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loaded = safe_json_load(plan_json)
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if loaded and isinstance(loaded, dict):
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plan_data = loaded
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planning_source = "airarc-execution-plan"
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if not plan_data:
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tasks = parse_tasks(todo_path)
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plan_data = {
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"selectedTasks": [t.task_id for t in tasks if t.status == "TODO"],
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"parallelGroups": [],
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}
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plan_path = paths["plan_dir"] / f"{session_stamp()}.json"
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atomic_json_write(plan_path, plan_data)
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state = safe_json_load(paths["state"]) or _init_state(project_root)
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state["planningSource"] = planning_source
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state["nextAction"] = "dispatch"
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atomic_json_write(paths["state"], state)
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return {
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"planPath": str(plan_path),
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"planningSource": planning_source,
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"selectedTasks": plan_data.get("selectedTasks", []),
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"parallelGroupCount": len(plan_data.get("parallelGroups", [])),
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"taskGraphPath": str(task_graph_json),
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"planJson": plan_data,
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}
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def dispatch_worker_group(project_root: Path, group_name: str = "") -> dict:
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"""派发 worker 组，含区域冲突检测。"""
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paths = _paths(project_root)
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_ensure_dirs(paths)
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# P0 修复：每次派发前检查 todo.md 是否更新，如有则触发增量重规划
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replan_result = maybe_replan(project_root)
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state = safe_json_load(paths["state"]) or _init_state(project_root)
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if replan_result:
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log = EventLog(event_log_path(project_root))
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log.emit("eng.replan.triggered", {
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"added": replan_result.get("added_count", 0),
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"removed": replan_result.get("removed_count", 0),
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"modified": replan_result.get("modified_count", 0),
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})
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state["lastReplanAt"] = now_iso()
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atomic_json_write(paths["state"], state)
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state = safe_json_load(paths["state"]) or _init_state(project_root)
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wave_id = f"wave-{session_stamp()}"
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task_ids = _select_ready_tasks(project_root, state.get("concurrency", DEFAULT_CONCURRENCY))
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if not task_ids:
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return {"dispatchPath": "", "groupName": group_name, "waveId": wave_id,
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"taskIds": [], "recommendedConcurrency": 0}
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# 区域冲突检测：多个任务时检查写集重叠
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dispatch_metadata: dict | None = None
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if len(task_ids) > 1:
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from air_runtime.worktree import RegionConflictDetector, ConflictLevel
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todo_path = get_todo_path(project_root)
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tasks = parse_tasks(todo_path)
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task_write_sets = {
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t.task_id: [f.strip() for f in t.files_dirs.split(",") if f.strip()]
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for t in tasks if t.task_id in task_ids
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}
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if task_write_sets:
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detector = RegionConflictDetector()
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conflicts = detector.detect_batch(task_write_sets)
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hard_blocked = [c for c in conflicts if c.level == ConflictLevel.HARD]
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if hard_blocked:
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# HARD 冲突：强制串行，只派第一个
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task_ids = task_ids[:1]
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dispatch_metadata = {
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"forcedSerialization": True,
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"reason": f"HARD conflict: {hard_blocked[0].task_a} <-> {hard_blocked[0].task_b}",
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}
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else:
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soft_conflicts = [c for c in conflicts if c.level == ConflictLevel.SOFT]
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if soft_conflicts:
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dispatch_metadata = {
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"worktreeIsolation": True,
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"softConflicts": [c.to_dict() for c in soft_conflicts],
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}
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dispatch_payload = {
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"waveId": wave_id, "groupName": group_name,
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"taskIds": task_ids,
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"createdAt": now_iso(),
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"recommendedConcurrency": min(len(task_ids), state.get("concurrency", DEFAULT_CONCURRENCY)),
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}
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dispatch_path = paths["dispatch_dir"] / f"{wave_id}.json"
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atomic_json_write(dispatch_path, dispatch_payload)
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state["activeWaveId"] = wave_id
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state["activeDispatchPath"] = str(dispatch_path)
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state["engineMode"] = "running"
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state["nextAction"] = "monitor"
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if dispatch_metadata:
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state["dispatchMetadata"] = dispatch_metadata
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atomic_json_write(paths["state"], state)
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log = EventLog(event_log_path(project_root))
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for tid in task_ids:
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log.emit(TASK_DISPATCHED, {"taskId": tid, "waveId": wave_id})
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result = {
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"dispatchPath": str(dispatch_path), "groupName": group_name,
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"waveId": wave_id, "taskIds": task_ids,
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"recommendedConcurrency": dispatch_payload["recommendedConcurrency"],
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}
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if dispatch_metadata:
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result["dispatchMetadata"] = dispatch_metadata
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return result
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def monitor_engine(project_root: Path) -> dict:
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"""L1 代码级轮询：硬编码循环检测 Worker 状态，不依赖 LLM 自觉。"""
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paths = _paths(project_root)
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state = safe_json_load(paths["state"]) or _init_state(project_root)
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active_workers = state.get("activeWorkers", [])
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stalled_count = 0
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ready_to_merge = 0
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interventions = []
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for worker in active_workers:
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worker_state_path = Path(worker.get("workerStatePath", ""))
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age = (datetime.now(timezone.utc) - datetime.fromisoformat(worker.get("spawnedAt", now_iso()))).total_seconds()
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# 超时检测
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if age > WORKER_MAX_WALL_TIME:
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interventions.append({"taskId": worker["taskId"], "reason": "wall-time-exceeded",
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"action": "terminate-and-block"})
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stalled_count += 1
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log = EventLog(event_log_path(project_root))
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log.emit(WORKER_TIMEOUT, {"taskId": worker["taskId"], "ageSeconds": int(age)})
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# 停滞检测：state 文件 mtime 超过 MONITOR_INTERVAL
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elif worker_state_path.exists():
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mtime = worker_state_path.stat().st_mtime
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if time.time() - mtime > MONITOR_INTERVAL_SECONDS:
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interventions.append({"taskId": worker["taskId"], "reason": "stalled",
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"action": "re-dispatch-or-block"})
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stalled_count += 1
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log = EventLog(event_log_path(project_root))
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log.emit(INTERVENTION_STALL, {"taskId": worker["taskId"]})
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else:
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ready_to_merge += 1 if worker.get("status") == "done" else 0
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# 资源压力检测
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try:
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load = os.getloadavg()[0]
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cpu_count = os.cpu_count() or 4
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resource_pressure = load > cpu_count * 2
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except OSError:
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resource_pressure = False
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# 新增：检查 pending worktree merges — merge 失败自动升级到 AirDbg
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wt_root = project_root / ".git" / "worktrees"
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if wt_root.exists():
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for wt_dir in wt_root.iterdir():
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if wt_dir.is_dir() and wt_dir.name.startswith("air-"):
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task_id = wt_dir.name[4:] # 去掉 "air-" 前缀
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# 跳过当前仍在运行的 worker，只处理已完成但未 merge 的 worktree
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is_active = any(w.get("taskId") == task_id for w in active_workers)
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if is_active:
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continue
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status = check_worktree_merge_status(project_root, task_id)
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if status["status"] == "upgraded_to_airdbg":
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interventions.append({
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"taskId": task_id,
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"reason": "worktree-merge-conflict",
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"action": "upgraded-to-airdbg",
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"conflicts": status.get("conflicts", []),
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"sessionId": status.get("sessionId"),
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})
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log = EventLog(event_log_path(project_root))
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log.emit("worktree.merge.conflict", {
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"taskId": task_id,
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"action": "upgraded-to-airdbg",
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"sessionId": status.get("sessionId"),
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})
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elif status["status"] == "downgraded_to_serial":
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interventions.append({
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"taskId": task_id,
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"reason": "worktree-merge-conflict-airdbg-failed",
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"action": "downgraded-to-serial",
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"conflicts": status.get("conflicts", []),
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})
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log = EventLog(event_log_path(project_root))
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log.emit("worktree.merge.conflict", {
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"taskId": task_id,
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"action": "downgraded-to-serial",
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})
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state["lastLoopAt"] = now_iso()
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state["interventionHistory"].extend(interventions)
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# 将升级到 AirDbg 的 session 记入 state.debugSessions
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for iv in interventions:
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if iv.get("action") == "upgraded-to-airdbg" and iv.get("sessionId"):
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state.setdefault("debugSessions", []).append({
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"sessionId": iv["sessionId"],
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"taskId": iv["taskId"],
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"trigger": "worktree-merge-conflict",
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"startedAt": now_iso(),
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})
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if iv.get("action") == "downgraded-to-serial":
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state.setdefault("repairAttempts", []).append({
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"taskId": iv["taskId"],
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"trigger": "worktree-merge-conflict-airdbg-failed",
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"action": "serial-redo",
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"startedAt": now_iso(),
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})
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atomic_json_write(paths["state"], state)
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log = EventLog(event_log_path(project_root))
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log.emit(ENGINE_CYCLE, {"stalledCount": stalled_count, "readyToMerge": ready_to_merge,
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"interventionCount": len(interventions)})
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return {
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"engineMode": state.get("engineMode", ""),
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"activeWorkerCount": len(active_workers),
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"readyToMergeCount": ready_to_merge,
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"stalledCount": stalled_count,
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"interventionCount": len(interventions),
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"blockedTaskCount": sum(1 for w in active_workers if w.get("status") == "blocked"),
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"resourcePressure": resource_pressure,
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"worktreeMergeConflicts": [iv for iv in interventions
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if iv.get("reason", "").startswith("worktree-merge")],
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"nextAction": "monitor" if active_workers else "dispatch",
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}
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def merge_worker_result(project_root: Path, result_path: Path) -> dict:
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"""事务化合并：6 阶段流水线，持有 state.json 锁。"""
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paths = _paths(project_root)
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_ensure_dirs(paths)
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log = EventLog(event_log_path(project_root))
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state_lock = FileLock(paths["state"], timeout=30.0)
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todo_lock = FileLock(get_todo_path(project_root), timeout=10.0)
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# 锁外捕获 taskId 用于 MERGE_STARTED 日志（避免锁内 IO 阻塞日志）
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preview = safe_json_load(result_path) or {}
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preview_tid = preview.get("taskId", "") if isinstance(preview, dict) else ""
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log.emit(MERGE_STARTED, {"taskId": preview_tid, "resultPath": str(result_path)})
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with state_lock:
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# Phase 1: 验证（含 doc sync 强制）
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result = safe_json_load(result_path)
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if not result or not isinstance(result, dict):
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raise ValueError(f"invalid result at {result_path}")
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enforce_doc_sync_requirements(project_root, result)
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task_id = result.get("taskId", "")
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status = result.get("status", "")
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# Phase 1.5: Rvr 审查（仅在 policy 或 result 声明需要时调用）
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review_state = safe_json_load(paths["state"]) or _init_state(project_root)
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rvr_policy = review_state.get("reviewPolicy", {"requireBeforeMerge": False})
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if rvr_policy.get("requireBeforeMerge") or result.get("requireReview"):
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from air_runtime.review_runtime import ReviewRuntime
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rvr = ReviewRuntime(project_root)
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verdict_info = rvr.get_verdict_for_task(task_id)
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verdict = verdict_info.get("verdict", "pass") if isinstance(verdict_info, dict) else "pass"
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if verdict == "fail":
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# 阻止合并，emit REPAIR_CREATED
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log.emit(REPAIR_CREATED, {
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"taskId": task_id,
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"verdict": "fail",
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"reviewReport": verdict_info.get("reportPath", ""),
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})
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raise ValueError(
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f"merge blocked by Rvr verdict=fail for {task_id}: "
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f"review report at {verdict_info.get('reportPath', '')}"
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)
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elif verdict == "conditional-pass":
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# 记录遗留项但允许合并
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review_state.setdefault("residualItems", []).append({
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"taskId": task_id,
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"verdict": "conditional-pass",
|
||
"residual": verdict_info.get("residual", []),
|
||
"mergedAt": now_iso(),
|
||
})
|
||
# 写回 state 以便后续 Phase 6 看到
|
||
atomic_json_write(paths["state"], review_state)
|
||
# pass 走原流程
|
||
|
||
# Phase 2: 归档（可重试 — 失败重抛由调用方决定）
|
||
stamp = session_stamp()
|
||
archive_path = paths["archive_dir"] / f"{task_id}-{stamp}.json"
|
||
atomic_json_write(archive_path, result)
|
||
|
||
# Phase 3: 应用文档更新（原子写入）
|
||
applied = apply_document_updates(project_root, result)
|
||
|
||
# Phase 4: 同步引擎管理文档（原子写入）
|
||
sync_paths = sync_engine_managed_docs(project_root, result, applied)
|
||
|
||
# Phase 5: 更新 todo（嵌套 FileLock）
|
||
with todo_lock:
|
||
update_todo_after_merge(project_root, result, applied, sync_paths)
|
||
|
||
# Phase 6: 更新引擎状态（原子写入）
|
||
state = safe_json_load(paths["state"]) or _init_state(project_root)
|
||
state["mergedResults"].append({
|
||
"taskId": task_id,
|
||
"status": status,
|
||
"archivedAt": now_iso(),
|
||
"archivePath": str(archive_path),
|
||
"appliedDocs": [str(p) for p in applied],
|
||
"syncedDocs": [str(p) for p in sync_paths],
|
||
})
|
||
state["mergedResults"] = truncate_history(state["mergedResults"], max_items=100)
|
||
state["activeWorkers"] = [
|
||
w for w in state.get("activeWorkers", []) if w.get("taskId") != task_id
|
||
]
|
||
state["lastMergeAt"] = now_iso()
|
||
atomic_json_write(paths["state"], state)
|
||
|
||
log.emit(MERGE_COMPLETED, {
|
||
"taskId": task_id,
|
||
"status": status,
|
||
"archivePath": str(archive_path),
|
||
"appliedDocCount": len(applied),
|
||
"syncedDocCount": len(sync_paths),
|
||
})
|
||
|
||
# emit task completed/blocked based on merge status
|
||
if status == "done":
|
||
log.emit(TASK_COMPLETED, {"taskId": task_id, "archivePath": str(archive_path)})
|
||
elif status in ("blocked", "failed"):
|
||
log.emit(TASK_BLOCKED, {"taskId": task_id, "status": status})
|
||
|
||
# repair resolved on successful merge after previous repair
|
||
repair_attempts = state.get("repairAttempts", [])
|
||
if repair_attempts and any(r.get("taskId") == task_id for r in repair_attempts):
|
||
log.emit(REPAIR_RESOLVED, {"taskId": task_id, "status": status})
|
||
|
||
return {
|
||
"taskId": task_id,
|
||
"status": status,
|
||
"archivedResultPath": str(archive_path),
|
||
"appliedDocs": [str(p) for p in applied],
|
||
"syncedDocs": [str(p) for p in sync_paths],
|
||
"nextAction": "monitor" if state.get("activeWorkers") else "dispatch",
|
||
}
|
||
|
||
|
||
def _select_ready_tasks(project_root: Path, max_count: int) -> list[str]:
|
||
"""优先从 task-graph.json 的 DAG 计算 in-degree 为 0 的 TODO task，fallback parse_tasks。"""
|
||
task_graph_json = airplan_root(project_root) / "state" / "airarc" / "reviews" / "task-graph.json"
|
||
if task_graph_json.exists():
|
||
try:
|
||
graph = TaskGraph.load(task_graph_json)
|
||
ready = graph.ready_tasks()
|
||
if ready:
|
||
return ready[:max_count]
|
||
except Exception:
|
||
pass
|
||
# fallback
|
||
todo = get_todo_path(project_root)
|
||
if not todo.exists():
|
||
return []
|
||
tasks = parse_tasks(todo)
|
||
return [t.task_id for t in tasks if t.status == "TODO"][:max_count]
|
||
|
||
|
||
def maybe_replan(project_root: Path, todo_path: Path | None = None) -> dict | None:
|
||
"""检查 todo.md mtime vs task_graph.json mtime，若 todo 更新则触发 replan。"""
|
||
from air_runtime.modes.arc_mode import incremental_replan_mode
|
||
todo = todo_path or get_todo_path(project_root)
|
||
tg = airplan_root(project_root) / "state" / "airarc" / "reviews" / "task-graph.json"
|
||
if not tg.exists():
|
||
return None
|
||
if not todo.exists():
|
||
return None
|
||
if todo.stat().st_mtime <= tg.stat().st_mtime:
|
||
return None
|
||
return incremental_replan_mode(project_root, todo, tg)
|
||
|
||
|
||
def main(args) -> None:
|
||
project_root = Path(args.project).expanduser().resolve()
|
||
sub = args.sub or "status"
|
||
|
||
if sub == "enter":
|
||
state_path, _ = enter_engine(project_root)
|
||
print("airplan_mode=eng")
|
||
print(f"state_path={state_path}")
|
||
elif sub == "status":
|
||
state = status_engine(project_root)
|
||
print(f"airplan_mode=eng")
|
||
print(f"enabled={state.get('enabled', False)}")
|
||
print(f"engine_mode={state.get('engineMode', '')}")
|
||
print(f"active_workers={len(state.get('activeWorkers', []))}")
|
||
print(f"merged_results={len(state.get('mergedResults', []))}")
|
||
print(f"next_action={state.get('nextAction', '')}")
|
||
elif sub == "plan":
|
||
tpath = Path(args.todo).expanduser().resolve() if args.todo else get_todo_path(project_root)
|
||
result = build_engine_plan(project_root, tpath)
|
||
print("airplan_mode=eng")
|
||
print(f"planning_source={result['planningSource']}")
|
||
print(f"selected_tasks={','.join(result['selectedTasks'])}")
|
||
elif sub == "dispatch":
|
||
result = dispatch_worker_group(project_root, args.dispatch_group)
|
||
print("airplan_mode=eng")
|
||
print(f"wave_id={result['waveId']}")
|
||
print(f"task_ids={','.join(result['taskIds'])}")
|
||
print(f"dispatch_path={result['dispatchPath']}")
|
||
elif sub == "monitor":
|
||
result = monitor_engine(project_root)
|
||
print("airplan_mode=eng")
|
||
print(f"active_workers={result['activeWorkerCount']}")
|
||
print(f"ready_to_merge={result['readyToMergeCount']}")
|
||
print(f"stalled={result['stalledCount']}")
|
||
print(f"interventions={result['interventionCount']}")
|
||
print(f"worktree_merge_conflicts={len(result.get('worktreeMergeConflicts', []))}")
|
||
print(f"next_action={result['nextAction']}")
|
||
elif sub == "merge":
|
||
result_path = Path(args.result).expanduser().resolve()
|
||
merged = merge_worker_result(project_root, result_path)
|
||
print("airplan_mode=eng")
|
||
print(f"task_id={merged['taskId']}")
|
||
print(f"status={merged['status']}")
|
||
print(f"next_action={merged['nextAction']}")
|