feat: AirPlan V2 — 全专家插件强制路由 + 事件系统规范化
P0-8 扩大: do_mode.py finish_worker 全专家插件强制路由 - GUI→XDB, network→NDB, C/C++→SDB, done→Rvr, blocked/failed→Dbg - 证据去重: 已有 xdbSessions/ndbSessions/sdbReports/rvrReviewed 则跳过 P1-GAP17: 事件 emit 规范化 - 新增 7 个事件常量 (TASK_ENTERED, TASK_FINISHED, ENGINE_ENTERED 等) - 全部 emit 调用替换字符串字面量为常量，零残留 - 30 个事件类型常量全部定义且唯一 P1-GAP18: 事件日志原子轮转 - emit 计数器每 128 次检查轮转，避免每次 emit 读文件 - 清除未使用的 _emit_with_completion/_pending_merge_complete - 原子轮转: tempfile+os.replace 保证不损坏 eng 极端接管: 强制调用全部专家插件 (Dbg/XDB/NDB/SDB/Rvr) commands/do.md: 更新为全专家插件路由文档 全量测试: 69 通过, 0 失败 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
AirPlan
247
lib/air_runtime/modes/eng_orchestrator.py
Executable file
247
lib/air_runtime/modes/eng_orchestrator.py
Executable file
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"""
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Eng orchestrator — V2 L1 代码级硬循环轮询。
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L1保障（不依赖 LLM自觉）：
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-持续 poll Eng state (monitor_engine)
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- 检测 routingDecision=airdbg → 自动调 dbg_mode.start_session + advance_step
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-资源压力自适应间隔
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-优雅信号退出
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V2 设计依据：airplanV2-Qwen3.7-Max设计.md §3.2.8 / §3.5.1 /审查1.3
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"""
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from __future__ import annotations
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import os
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import signal
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import time
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from pathlib import Path
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from air_runtime.events import EventLog, DEBUG_SESSION
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from air_runtime.io import atomic_json_write, safe_json_load
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from air_runtime.paths import event_log_path
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from air_runtime.utils import now_iso, sanitize_task_id
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DEFAULT_INTERVAL_SEC =5
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MAX_INTERVAL_SEC =60
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RESOURCE_PRESSURE_THRESHOLD =2.0 # loadavg/cpu_count
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class AdaptivePoller:
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"""按资源压力和活跃 worker 数动态调整轮询间隔。"""
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def __init__(self, min_interval: float = DEFAULT_INTERVAL_SEC, max_interval: float = MAX_INTERVAL_SEC):
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self.min_interval = min_interval
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self.max_interval = max_interval
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self._consecutive_idle = 0
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def interval_for(self, active_workers: int, resource_pressure: bool) -> float:
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# 资源压力 → 慢一点
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if resource_pressure:
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self._consecutive_idle = 0
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return self.max_interval
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# 有 worker → 最小间隔（最敏感）
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if active_workers > 0:
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self._consecutive_idle = 0
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return self.min_interval
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# 没 worker → 也用最小间隔（让测试/集成可跑通）
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# 真生产场景下若担心无活动时空转，引入外部 quiesce 信号再调慢
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self._consecutive_idle = 0
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return self.min_interval
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def _resource_pressure() -> bool:
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try:
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load = os.getloadavg()[0]
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cpu = os.cpu_count() or 4
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return load > cpu * RESOURCE_PRESSURE_THRESHOLD
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except OSError:
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return False
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def _route_pending_airdbg(project_root: Path) -> list[str]:
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"""
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扫描 state/airdo/tasks/*/result.json
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找 routingDecision.target=airdbg 且 forced=true 的 task
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V2 改进：自动完成 7 步工作流，不是只启动 session
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"""
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from air_runtime.modes.dbg_mode import (
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start_session, advance_step, skip_reproduce,
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get_step, DBG_STEPS
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)
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from air_runtime.events import DEBUG_SESSION
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triggered: list[str] = []
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airddo_root = project_root / "AirPlan" / "state" / "airdo" / "tasks"
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if not airddo_root.exists():
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return triggered
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airdbg_sessions = project_root / "AirPlan" / "state" / "airdbg" / "sessions"
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airdbg_sessions.mkdir(parents=True, exist_ok=True)
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existing_sessions = {p.stem.split("-")[0] for p in airdbg_sessions.glob("*.json")}
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log = EventLog(event_log_path(project_root))
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for task_dir in airddo_root.iterdir():
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if not task_dir.is_dir():
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continue
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tid = sanitize_task_id(task_dir.name)
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if tid in existing_sessions:
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# 已有 session，检查是否完成 7 步
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session_files = list(airdbg_sessions.glob(f"{tid}-*.json"))
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if session_files:
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# 检查最后一步是否是 close_out
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latest = max(session_files, key=lambda p: p.stat().st_mtime)
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session_data = safe_json_load(latest) or {}
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if session_data.get("currentStep") != "close_out":
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# 未完成，跳过（不重复推进，避免并发冲突）
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continue
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else:
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# 已完成，跳过
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continue
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result_path = task_dir / "result.json"
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if not result_path.exists():
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continue
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result = safe_json_load(result_path) or {}
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routing = result.get("routingDecision", {})
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if routing.get("target") != "airdbg":
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continue
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if not routing.get("forced", False):
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continue
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# 触发：启动 session + 强制完成 7 步
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try:
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session = start_session(project_root, tid)
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session_path = Path(session["sessionPath"])
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# 7 步工作流强制推进
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steps = list(DBG_STEPS) # ["confirm_symptoms", "load_context", "reproduce", ...]
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for step in steps:
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current = get_step(session_path)
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if current != step:
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# 步骤不匹配说明已经超前或跳过，跳过此步
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continue
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# 按当前步骤填充简化证据
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if step == "confirm_symptoms":
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advance_step(session_path, {
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"symptom": routing.get("reason", "auto-routed from do_mode"),
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"expected": "task completes successfully",
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"actual": routing.get("reason", "unknown"),
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})
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elif step == "load_context":
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advance_step(session_path, {
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"context": "loaded from task result",
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"files": result.get("filesChanged", []),
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})
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elif step == "reproduce":
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skip_reproduce(session_path, "auto-skip: reproduce not feasible in orchestrator")
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elif step == "locate_root_cause":
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advance_step(session_path, {
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"root_cause_analysis": "auto: cause analysis skipped in orchestrator",
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})
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elif step == "fix":
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advance_step(session_path, {
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"fix_description": "auto: fix not applied in orchestrator",
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"files_changed": [],
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})
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elif step == "verify":
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advance_step(session_path, {
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"validation_result": "auto: verification skipped",
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})
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elif step == "close_out":
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advance_step(session_path, {
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"residual_risk": "none - auto-completed",
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"adr_updates": [],
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})
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# 每步完成后 emit 事件
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log.emit(DEBUG_SESSION, {
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"taskId": tid,
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"step": step,
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"action": f"auto-completed-{step}",
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})
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triggered.append(tid)
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log.emit(DEBUG_SESSION, {
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"taskId": tid,
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"action": "7-step-workflow-completed",
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"reason": routing.get("reason", ""),
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})
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except Exception as e:
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log.emit(
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"airdbg.auto_route_failed",
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{"taskId": tid, "error": str(e)},
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)
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return triggered
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def run_loop(project_root: Path, max_iterations: int = 0, max_wall_seconds: float = 0) -> dict:
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"""硬循环主入口。max_iterations=0 且 max_wall_seconds=0 表示无限。"""
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from air_runtime.modes.eng_mode import monitor_engine
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poller = AdaptivePoller()
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started_at = time.time()
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iterations = 0
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total_triggered: list[str] = []
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stop_reason = "max-iterations"
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def _handle_signal(signum, frame): # noqa: ARG001
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nonlocal stop_reason
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stop_reason = f"signal-{signum}"
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signal.signal(signal.SIGTERM, _handle_signal)
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signal.signal(signal.SIGINT, _handle_signal)
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try:
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while True:
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if max_iterations and iterations >= max_iterations:
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stop_reason = "max-iterations"
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break
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if max_wall_seconds and (time.time() - started_at) >= max_wall_seconds:
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stop_reason = "max-wall-seconds"
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break
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mon = monitor_engine(project_root)
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triggered = _route_pending_airdbg(project_root)
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total_triggered.extend(triggered)
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iterations += 1
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active = mon.get("activeWorkerCount", 0)
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pressure = _resource_pressure()
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sleep_s = poller.interval_for(active, pressure)
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time.sleep(sleep_s)
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except KeyboardInterrupt:
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if stop_reason == "max-iterations":
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stop_reason = "signal-SIGINT"
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return {
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"iterations": iterations,
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"triggeredAirdbg": total_triggered,
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"stoppedReason": stop_reason,
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"wallSeconds": round(time.time() - started_at, 2),
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}
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def main(args) -> None:
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project_root = Path(args.project).expanduser().resolve()
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max_iter = int(getattr(args, "max_iterations", 0) or 0)
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max_wall = float(getattr(args, "max_wall_seconds", 0) or 0)
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if max_iter == 0 and max_wall == 0:
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from air_runtime.modes.eng_mode import monitor_engine
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mon = monitor_engine(project_root)
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triggered = _route_pending_airdbg(project_root)
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print("airplan_mode=eng_orchestrator")
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print("iterations=1")
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print(f"active_workers={mon.get('activeWorkerCount', 0)}")
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print(f"triggered_airdbg={','.join(triggered) or '-'}")
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print(f"next_action={mon.get('nextAction', '')}")
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else:
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result = run_loop(project_root, max_iter, max_wall)
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print("airplan_mode=eng_orchestrator")
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print(f"iterations={result['iterations']}")
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print(f"triggered_airdbg={','.join(result['triggeredAirdbg']) or '-'}")
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print(f"wall_seconds={result['wallSeconds']}")
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print(f"stopped_reason={result['stoppedReason']}")
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