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>
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133
lib/air_runtime/deploy_runtime.py
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133
lib/air_runtime/deploy_runtime.py
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"""
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AirDep 部署运行时 — V2 新增组件。
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SSH 远程构建 + 二进制传输 + systemd 生命周期管理 + 部署验证。
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"""
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from __future__ import annotations
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import hashlib
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import subprocess
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from dataclasses import dataclass
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from pathlib import Path
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from air_runtime.contracts import DeploymentRecord, now_iso
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from air_runtime.io import atomic_json_write, safe_json_load
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from air_runtime.paths import dep_state_path
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@dataclass
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class DeployTarget:
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host: str
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user: str = "root"
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port: int = 22
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build_dir: str = "/tmp/airdep-build"
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deploy_dir: str = "/opt/app"
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@dataclass
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class DeployResult:
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task_id: str
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success: bool
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binary_md5: str = ""
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service_status: str = ""
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error: str = ""
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journal_excerpt: str = ""
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def _ssh(target: DeployTarget, cmd: str, timeout: int = 120) -> subprocess.CompletedProcess[str]:
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return subprocess.run(
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["ssh", "-o", "StrictHostKeyChecking=accept-new", "-p", str(target.port),
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f"{target.user}@{target.host}", cmd],
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capture_output=True, text=True, timeout=timeout,
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)
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def _scp(target: DeployTarget, local: Path, remote: str, timeout: int = 300) -> subprocess.CompletedProcess[str]:
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return subprocess.run(
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["scp", "-o", "StrictHostKeyChecking=accept-new", "-P", str(target.port),
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str(local), f"{target.user}@{target.host}:{remote}"],
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capture_output=True, text=True, timeout=timeout,
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)
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def _md5_file(path: Path) -> str:
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h = hashlib.md5()
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with open(path, "rb") as f:
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while chunk := f.read(8192):
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h.update(chunk)
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return h.hexdigest()
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def deploy(task_id: str, project_root: Path, target: DeployTarget,
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local_binary: Path, service_name: str,
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build_cmd: str | None = None,
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smoke_test_cmd: str | None = None) -> DeployResult:
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"""执行完整部署流程:构建 → 传输 → systemd → 验证。"""
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state_file = dep_state_path(project_root)
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try:
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# Step 1: 远程构建(可选)
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if build_cmd:
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result = _ssh(target, f"cd {target.build_dir} && {build_cmd}", timeout=600)
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if result.returncode != 0:
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return DeployResult(task_id=task_id, success=False,
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error=f"build failed: {result.stderr[-500:]}")
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# Step 2: 二进制传输 + MD5 校验
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remote_tmp = f"/tmp/{local_binary.name}"
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scp_result = _scp(target, local_binary, remote_tmp)
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if scp_result.returncode != 0:
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return DeployResult(task_id=task_id, success=False,
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error=f"scp failed: {scp_result.stderr[-500:]}")
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local_md5 = _md5_file(local_binary)
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md5_result = _ssh(target, f"md5sum {remote_tmp} | cut -d' ' -f1")
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remote_md5 = md5_result.stdout.strip()
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if local_md5 != remote_md5:
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return DeployResult(task_id=task_id, success=False,
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binary_md5=f"local={local_md5} remote={remote_md5}",
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error="md5 mismatch after transfer")
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# Step 3: 部署二进制
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_ssh(target, f"mv {remote_tmp} {target.deploy_dir}/{local_binary.name}")
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# Step 4: systemd 生命周期
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_ssh(target, f"systemctl daemon-reload")
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_ssh(target, f"systemctl restart {service_name}")
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status_result = _ssh(target, f"systemctl is-active {service_name}")
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service_status = status_result.stdout.strip()
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# Step 5: 冒烟验证(可选)
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smoke_passed: bool | None = None
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if smoke_test_cmd:
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smoke_result = _ssh(target, smoke_test_cmd, timeout=60)
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smoke_passed = (smoke_result.returncode == 0)
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# Step 6: 记录部署产物
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record = DeploymentRecord(
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task_id=task_id,
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host=target.host,
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binary_path=str(target.deploy_dir / local_binary.name),
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md5=local_md5,
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service_name=service_name,
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service_status=service_status,
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smoke_test_passed=smoke_passed,
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)
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# 持久化
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sessions = safe_json_load(state_file) or {"sessions": []}
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if isinstance(sessions, dict):
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sessions.setdefault("sessions", []).append(record.__dict__)
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atomic_json_write(state_file, sessions)
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return DeployResult(
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task_id=task_id,
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success=service_status == "active",
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binary_md5=local_md5,
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service_status=service_status,
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)
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except subprocess.TimeoutExpired as exc:
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return DeployResult(task_id=task_id, success=False, error=f"timeout: {exc}")
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except Exception as exc:
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return DeployResult(task_id=task_id, success=False, error=str(exc))
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