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>

lib/air_runtime/review.py

@@ -0,0 +1,126 @@
+"""
+并行审查模块 — V2 从 V1 迁移。
+分析任务依赖、写集冲突、产出并行组和串行点。
+"""
+
+from __future__ import annotations
+
+import re
+from dataclasses import dataclass, field
+from pathlib import Path
+from air_runtime.todo_parser import parse_tasks
+
+
+@dataclass
+class ParallelGroup:
+    name: str
+    task_ids: list[str]
+    reason: str = ""
+
+    def to_dict(self) -> dict:
+        return {"name": self.name, "task_ids": self.task_ids, "reason": self.reason}
+
+
+@dataclass
+class Conflict:
+    task_a: str
+    task_b: str
+    reason: str = ""
+
+    def to_dict(self) -> dict:
+        return {"task_a": self.task_a, "task_b": self.task_b, "reason": self.reason}
+
+
+@dataclass
+class ReviewResult:
+    parallel_groups: list[ParallelGroup] = field(default_factory=list)
+    conflicts: list[Conflict] = field(default_factory=list)
+    serialization_points: list[dict] = field(default_factory=list)
+    edges: list[dict] = field(default_factory=list)
+
+    def to_dict(self) -> dict:
+        return {
+            "parallelGroups": [{"name": g.name, "task_ids": g.task_ids, "reason": g.reason} for g in self.parallel_groups],
+            "conflicts": [{"task_a": c.task_a, "task_b": c.task_b, "reason": c.reason} for c in self.conflicts],
+            "serializationPoints": self.serialization_points,
+            "edges": self.edges,
+        }
+
+    @classmethod
+    def from_dict(cls, data: dict) -> ReviewResult:
+        return cls(
+            parallel_groups=[ParallelGroup(**g) for g in data.get("parallelGroups", [])],
+            conflicts=[Conflict(**c) for c in data.get("conflicts", [])],
+            serialization_points=data.get("serializationPoints", []),
+            edges=data.get("edges", []),
+        )
+
+
+def build_parallel_review(todo_path: Path) -> ReviewResult:
+    """分析 todo.md，产出并行组和冲突。"""
+    tasks = parse_tasks(todo_path)
+    result = ReviewResult()
+
+    # 解析依赖：task 文本中的 "依赖 T-xxx" 或 Done When 中的引用
+    edges = []
+    for t in tasks:
+        deps = re.findall(r"T-\d+[a-z]*", t.done_when)
+        deps.extend(re.findall(r"依赖\s+(T-\d+[a-z]*)", t.task))
+        for dep in deps:
+            if dep != t.task_id:
+                edges.append({"source": dep, "target": t.task_id, "kind": "dependency"})
+                result.edges.append({"source": dep, "target": t.task_id, "kind": "dependency"})
+
+    # 写集冲突检测
+    file_map: dict[str, list[str]] = {}
+    for t in tasks:
+        if t.files_dirs:
+            files = [f.strip() for f in t.files_dirs.split(",")]
+            for f in files:
+                file_map.setdefault(f, []).append(t.task_id)
+
+    conflicts = []
+    for fpath, tid_list in file_map.items():
+        for i, tid_a in enumerate(tid_list):
+            for tid_b in tid_list[i + 1:]:
+                conflicts.append(Conflict(tid_a, tid_b, f"shared file: {fpath}"))
+    result.conflicts = conflicts
+
+    # 串行点：同文件不同任务的依赖链
+    for fpath, tid_list in file_map.items():
+        if len(tid_list) > 1:
+            for tid in tid_list[1:]:
+                result.serialization_points.append({
+                    "taskId": tid,
+                    "reasons": [f"serialized with {tid_list[0]} due to shared file: {fpath}"],
+                })
+
+    # 并行组：入度为 0 的任务
+    target_count = {e["target"] for e in edges}
+    ready = [t.task_id for t in tasks if t.task_id not in target_count and t.status == "TODO"]
+    if ready:
+        result.parallel_groups.append(ParallelGroup(
+            name="wave-1", task_ids=ready,
+            reason="no dependencies on other TODO tasks",
+        ))
+
+    return result
+
+
+def render_review_markdown(review: ReviewResult) -> str:
+    lines = ["# AirArc Parallel Review", ""]
+    lines.append(f"## Summary")
+    lines.append(f"- Parallel groups: {len(review.parallel_groups)}")
+    lines.append(f"- Conflicts: {len(review.conflicts)}")
+    lines.append(f"- Serialization points: {len(review.serialization_points)}")
+    lines.append("")
+    lines.append("## Parallel Groups")
+    for g in review.parallel_groups:
+        lines.append(f"### {g.name}")
+        lines.append(f"Reason: {g.reason}")
+        lines.append(f"Tasks: {', '.join(g.task_ids)}")
+        lines.append("")
+    lines.append("## Conflicts")
+    for c in review.conflicts:
+        lines.append(f"- {c.task_a} <-> {c.task_b}: {c.reason}")
+    return "\n".join(lines)