AirPlan V2 initial release — unified scheduler with 12 sub-modes
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>
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AirPlan Team
258
lib/air_runtime/modes/arc_mode.py
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258
lib/air_runtime/modes/arc_mode.py
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#!/usr/bin/env python3
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"""
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AirArc mode — V2 架构规划器。
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L1 代码级保障：allowed-tools 限制为只读。
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产出 execution-plan.json（完整 DAG）+ plan-delta.json（增量重规划）。
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"""
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from __future__ import annotations
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import json
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import sys
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from pathlib import Path
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from air_runtime.contracts import 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 airplan_root, todo_path as get_todo_path
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from air_runtime.review import build_parallel_review, render_review_markdown
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from air_runtime.task_graph import TaskGraph, TaskNode, Edge, PlanDelta
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from air_runtime.events import EventLog
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from air_runtime.paths import event_log_path
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from air_runtime.utils import ordered_unique
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class ArcPhaseGate:
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"""三阶段门控：discussing → proposing → confirmed。
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execution-plan.json 仅在 phase=confirmed 时允许写入。
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"""
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PHASES = ["discussing", "proposing", "confirmed"]
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def __init__(self, state_path: Path):
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self._state_path = state_path
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@property
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def current_phase(self) -> str:
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data = safe_json_load(self._state_path) or {}
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return data.get("arcPhase", "discussing")
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def advance_to(self, phase: str) -> None:
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if phase not in self.PHASES:
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raise ValueError(f"invalid phase: {phase!r}")
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idx_current = self.PHASES.index(self.current_phase)
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idx_target = self.PHASES.index(phase)
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if idx_target <= idx_current:
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return
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data = safe_json_load(self._state_path) or {}
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data["arcPhase"] = phase
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data[f"arcPhase_{phase}At"] = now_iso()
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atomic_json_write(self._state_path, data)
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def can_write_plan(self) -> bool:
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return self.current_phase == "confirmed"
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def confirm_architecture(self, user_confirmation: str) -> bool:
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"""检查用户确认文本中的关键词，确认后推进到 confirmed。"""
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confirm_keywords = ["确认", "可以", "同意", "confirm", "yes", "ok", "好的", "没问题"]
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if any(kw in user_confirmation.lower() for kw in confirm_keywords):
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self.advance_to("confirmed")
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return True
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return False
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def _paths(project_root: Path) -> dict[str, Path]:
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root = airplan_root(project_root) / "state" / "airarc"
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return {
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"root": root,
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"state": root / "state.json",
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"reviews_dir": root / "reviews",
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"execution_plan_json": root / "reviews" / "execution-plan.json",
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"execution_plan_md": root / "reviews" / "execution-plan.md",
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"plan_delta_json": root / "reviews" / "plan-delta.json",
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"task_graph_json": root / "reviews" / "task-graph.json",
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}
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def _ensure_dirs(paths: dict[str, Path]) -> None:
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paths["reviews_dir"].mkdir(parents=True, exist_ok=True)
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def _export_task_graph_json(graph: TaskGraph, path: Path) -> None:
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data = {
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"nodes": {nid: {"id": n.id, "status": n.status, "task": n.task,
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"filesDirs": n.files_dirs, "doneWhen": n.done_when,
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"inDegree": n.in_degree, "outEdges": n.out_edges,
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"writeSet": n.write_set}
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for nid, n in graph.nodes.items()},
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"edges": [{"source": e.source, "target": e.target, "kind": e.kind} for e in graph.edges],
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}
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atomic_json_write(path, data)
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def _build_graph_from_todo(todo_path: Path) -> TaskGraph:
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"""从 todo.md 构建初始 DAG。"""
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from air_runtime.todo_parser import parse_tasks
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tasks = parse_tasks(todo_path)
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graph = TaskGraph()
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for t in tasks:
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node = TaskNode(
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id=t.task_id, status=t.status, task=t.task,
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files_dirs=t.files_dirs, done_when=t.done_when,
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)
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graph.add_node(node)
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return graph
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def enter_mode(project_root: Path) -> dict:
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paths = _paths(project_root)
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_ensure_dirs(paths)
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payload = {"enabled": True, "updatedAt": now_iso(), "projectRoot": str(project_root)}
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atomic_json_write(paths["state"], payload)
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return {"state_path": str(paths["state"])}
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def parallel_review_mode(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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# 三阶段门控：仅在 confirmed 阶段允许写入 execution-plan.json
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gate = ArcPhaseGate(paths["state"])
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if not gate.can_write_plan():
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return {
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"blocked": True,
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"reason": f"arc phase is '{gate.current_phase}', must be 'confirmed' before generating plan",
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"currentPhase": gate.current_phase,
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}
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review = build_parallel_review(todo_path)
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review_json_path = paths["reviews_dir"] / "parallel-review.json"
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review_md_path = paths["reviews_dir"] / "parallel-review.md"
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atomic_json_write(review_json_path, review.to_dict())
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review_md_path.write_text(render_review_markdown(review), encoding="utf-8")
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# 构建 DAG
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graph = _build_graph_from_todo(todo_path)
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for edge_info in review.to_dict().get("edges", []):
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graph.add_edge(Edge(source=edge_info["source"], target=edge_info["target"],
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kind=edge_info.get("kind", "dependency")))
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_export_task_graph_json(graph, paths["task_graph_json"])
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# 生成执行计划
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selected_tasks = review.parallel_groups[0].task_ids if review.parallel_groups else []
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execution_plan = {
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"generatedAt": now_iso(), "projectRoot": str(project_root),
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"todoPath": str(todo_path), "planSource": "airarc-post-plan-review",
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"parallelReview": review.to_dict(),
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"selectedTasks": selected_tasks,
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"parallelGroups": [g.to_dict() for g in review.parallel_groups],
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"conflicts": [c.to_dict() for c in review.conflicts],
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"serializationPoints": review.serialization_points,
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}
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atomic_json_write(paths["execution_plan_json"], execution_plan)
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markdown_lines = [
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"# AirArc Execution Plan", "",
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f"- Generated: `{execution_plan['generatedAt']}`",
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f"- Plan Source: `{execution_plan['planSource']}`", "",
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"## Selected Tasks",
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]
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for tid in selected_tasks:
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markdown_lines.append(f"- `{tid}`")
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markdown_lines.extend(["", "## Parallel Groups"])
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for g in review.parallel_groups:
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markdown_lines.append(f"- `{g.name}`: {', '.join(g.task_ids)} — {g.reason}")
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paths["execution_plan_md"].write_text("\n".join(markdown_lines) + "\n", encoding="utf-8")
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atomic_json_write(paths["state"], {"enabled": True, "updatedAt": now_iso(),
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"projectRoot": str(project_root)})
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return {"json_path": str(review_json_path), "markdown_path": str(review_md_path),
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"execution_plan_json_path": str(paths["execution_plan_json"]),
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"parallel_group_count": len(review.parallel_groups),
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"conflict_count": len(review.conflicts)}
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def incremental_replan_mode(project_root: Path, todo_path: Path, previous_graph_path: Path | None = None) -> dict:
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"""增量重规划：产出 PlanDelta 并喂回 prev graph，再写 plan-delta.json。"""
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paths = _paths(project_root)
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_ensure_dirs(paths)
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review = build_parallel_review(todo_path)
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new_graph = _build_graph_from_todo(todo_path)
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for edge_info in review.to_dict().get("edges", []):
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new_graph.add_edge(Edge(source=edge_info["source"], target=edge_info["target"],
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kind=edge_info.get("kind", "dependency")))
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delta = PlanDelta()
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if previous_graph_path and previous_graph_path.exists():
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prev_graph = TaskGraph.load(previous_graph_path)
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delta = new_graph.diff(prev_graph)
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# 关键：把 delta 喂回去给 prev graph，保留已调度状态
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if previous_graph_path.exists():
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prev_graph.apply_delta(delta)
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_export_task_graph_json(prev_graph, previous_graph_path)
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else:
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delta.added_tasks = list(new_graph.nodes.values())
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delta.edge_changes.added = list(new_graph.edges)
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atomic_json_write(paths["plan_delta_json"], {
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"generatedAt": now_iso(),
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"removedTasks": delta.removed_tasks,
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"addedTasks": [{"id": n.id, "task": n.task, "filesDirs": n.files_dirs,
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"doneWhen": n.done_when, "writeSet": n.write_set}
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for n in delta.added_tasks],
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"modifiedTasks": [{"id": n.id, "task": n.task, "filesDirs": n.files_dirs,
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"doneWhen": n.done_when, "writeSet": n.write_set}
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for n in delta.modified_tasks],
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"edgeChanges": {
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"added": [{"source": e.source, "target": e.target, "kind": e.kind}
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for e in delta.edge_changes.added],
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"removed": [{"source": e.source, "target": e.target, "kind": e.kind}
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for e in delta.edge_changes.removed],
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},
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})
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_export_task_graph_json(new_graph, paths["task_graph_json"])
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log = EventLog(event_log_path(project_root))
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log.emit("arc.replanned", {"delta_added": len(delta.added_tasks),
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"delta_removed": len(delta.removed_tasks),
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"delta_modified": len(delta.modified_tasks),
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"edges_added": len(delta.edge_changes.added),
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"edges_removed": len(delta.edge_changes.removed)})
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return {"plan_delta_json_path": str(paths["plan_delta_json"]),
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"task_graph_json_path": str(paths["task_graph_json"]),
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"added_count": len(delta.added_tasks),
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"removed_count": len(delta.removed_tasks),
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"modified_count": len(delta.modified_tasks),
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"edges_added": len(delta.edge_changes.added),
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"edges_removed": len(delta.edge_changes.removed)}
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def main(args) -> None:
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project_root = Path(args.project).expanduser().resolve()
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sub = args.sub or "status"
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if sub == "enter":
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result = enter_mode(project_root)
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print("airplan_mode=arc")
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print(f"state_path={result['state_path']}")
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elif sub == "parallel-review":
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tpath = Path(args.todo).expanduser().resolve() if args.todo else get_todo_path(project_root)
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result = parallel_review_mode(project_root, tpath)
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print("airplan_mode=arc")
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print(f"json_path={result['json_path']}")
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print(f"parallel_group_count={result['parallel_group_count']}")
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print(f"conflict_count={result['conflict_count']}")
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elif sub == "incremental-replan":
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tpath = Path(args.todo).expanduser().resolve() if args.todo else get_todo_path(project_root)
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prev = _paths(project_root)["task_graph_json"]
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result = incremental_replan_mode(project_root, tpath, prev)
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print("airplan_mode=arc")
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print(f"plan_delta_path={result['plan_delta_json_path']}")
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print(f"added={result['added_count']} removed={result['removed_count']}")
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else:
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paths = _paths(project_root)
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state = safe_json_load(paths["state"]) or {}
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print(f"airplan_mode=arc")
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print(f"enabled={state.get('enabled', False)}")
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