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feat: P1-19 P1-20 实现 - 边界测试强制 + 高风险审计 + UI Skill 路由

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P1-19.1: Arc 边界测试强制
- TaskNode 新增 test_required 字段
- _inject_boundary_tests() 为每个模块注入接口测试和单元测试任务
- Done When 验证必须包含"测试通过"

P1-19.2: AirRvr 高风险审计
- 新增 HighRiskAudit, HighRiskFinding 数据类
- ReviewReport 新增 highRiskAudit 字段，含 lifecycle/nullPointer/danglingPointer/exceptionSafety/concurrency + overallRisk + deliveryVerdict
- 序列化/反序列化支持

P1-19.3: block-release 集成
- dispatch_worker_group() 派发前扫描最新审查报告
- deliveryVerdict=block-release 时阻止所有后续派发
- 记录 eng.blocked 事件

P1-20: frontend-design Skill 集成
- is_ui_task() UI 任务检测
- ensure_frontend_design_skill() 自动安装 Skill
- route_ui_task() UI 任务路由决策
- enter_worker() 集成 UI 检测，skill 不可用时阻止执行
- commands/do.md 更新 UI 处理说明
- SKILL.md 新增 INV-12/INV-13/INV-14

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
AirLongDian
2026-06-10 17:06:48 +08:00
commit e73a4da354
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#!/usr/bin/env python3
"""
AirArc mode — V2 架构规划器。
L1 代码级保障：allowed-tools 限制为只读。
产出 execution-plan.json（完整 DAG）+ plan-delta.json（增量重规划）。
"""
from __future__ import annotations
import json
import sys
from pathlib import Path
from air_runtime.contracts import now_iso
from air_runtime.io import atomic_json_write, safe_json_load
from air_runtime.paths import airplan_root, todo_path as get_todo_path
from air_runtime.review import build_parallel_review, render_review_markdown
from air_runtime.task_graph import TaskGraph, TaskNode, Edge, PlanDelta
from air_runtime.events import EventLog
from air_runtime.paths import event_log_path
from air_runtime.utils import ordered_unique
class ArcPhaseGate:
"""三阶段门控：discussing → proposing → confirmed。
execution-plan.json 仅在 phase=confirmed 时允许写入。
"""
PHASES = ["discussing", "proposing", "confirmed"]
def __init__(self, state_path: Path):
self._state_path = state_path
@property
def current_phase(self) -> str:
data = safe_json_load(self._state_path) or {}
return data.get("arcPhase", "discussing")
def advance_to(self, phase: str) -> None:
if phase not in self.PHASES:
raise ValueError(f"invalid phase: {phase!r}")
idx_current = self.PHASES.index(self.current_phase)
idx_target = self.PHASES.index(phase)
if idx_target <= idx_current:
return
data = safe_json_load(self._state_path) or {}
data["arcPhase"] = phase
data[f"arcPhase_{phase}At"] = now_iso()
atomic_json_write(self._state_path, data)
def can_write_plan(self) -> bool:
return self.current_phase == "confirmed"
def confirm_architecture(self, user_confirmation: str) -> bool:
"""检查用户确认文本中的关键词，确认后推进到 confirmed。"""
confirm_keywords = ["确认", "可以", "同意", "confirm", "yes", "ok", "好的", "没问题"]
if any(kw in user_confirmation.lower() for kw in confirm_keywords):
self.advance_to("confirmed")
return True
return False
def _paths(project_root: Path) -> dict[str, Path]:
root = airplan_root(project_root) / "state" / "airarc"
return {
"root": root,
"state": root / "state.json",
"reviews_dir": root / "reviews",
"execution_plan_json": root / "reviews" / "execution-plan.json",
"execution_plan_md": root / "reviews" / "execution-plan.md",
"plan_delta_json": root / "reviews" / "plan-delta.json",
"task_graph_json": root / "reviews" / "task-graph.json",
}
def _ensure_dirs(paths: dict[str, Path]) -> None:
paths["reviews_dir"].mkdir(parents=True, exist_ok=True)
def _export_task_graph_json(graph: TaskGraph, path: Path) -> None:
data = {
"nodes": {nid: {"id": n.id, "status": n.status, "task": n.task,
"filesDirs": n.files_dirs, "doneWhen": n.done_when,
"inDegree": n.in_degree, "outEdges": n.out_edges,
"writeSet": n.write_set, "testRequired": n.test_required}
for nid, n in graph.nodes.items()},
"edges": [{"source": e.source, "target": e.target, "kind": e.kind} for e in graph.edges],
}
atomic_json_write(path, data)
def _build_graph_from_todo(todo_path: Path) -> tuple[TaskGraph, list[str]]:
"""从 todo.md 构建初始 DAG，返回图和未满足 Done When 条件的任务列表。"""
from air_runtime.todo_parser import parse_tasks
tasks = parse_tasks(todo_path)
graph = TaskGraph()
violations = [] # P1-19.1: 记录 Done When 不含"测试通过"的任务
for t in tasks:
node = TaskNode(
id=t.task_id, status=t.status, task=t.task,
files_dirs=t.files_dirs, done_when=t.done_when,
)
graph.add_node(node)
# P1-19.1: Done When 必须包含"测试通过"
if t.done_when and "测试通过" not in t.done_when:
violations.append(t.task_id)
# P1-19.1: 注入边界测试任务
_inject_boundary_tests(graph, tasks)
return graph, violations
def _inject_boundary_tests(graph: TaskGraph, tasks: list) -> None:
"""P1-19.1: 为每个模块边界注入测试任务。
规则：
- 每个模块的公共接口必须有对应的接口测试任务
- 每个模块的核心逻辑必须有对应的单元测试任务
- 测试任务标记 test_required=True
- Done When 必须包含"测试通过"
"""
# 从 tasks 提取模块信息（通过 files_dirs 推断模块）
module_files: dict[str, set[str]] = {}
for t in tasks:
if t.files_dirs:
for fd in t.files_dirs.split(","):
fd = fd.strip()
if fd:
# 取第一级目录作为模块名
parts = fd.split("/")
if len(parts) > 1:
module = parts[0]
else:
module = fd.split(".")[0] if "." in fd else fd
module_files.setdefault(module, set()).add(fd)
# 为每个模块创建测试任务
test_counter = 0
for module, files in module_files.items():
if not files:
continue
# 接口测试任务（模块边界）
test_counter += 1
interface_test_id = f"T-TEST-{test_counter:03d}"
interface_test_node = TaskNode(
id=interface_test_id,
status="TODO",
task=f"[边界测试] {module} 模块接口测试",
files_dirs=",".join(sorted(files)),
done_when="测试通过",
test_required=True,
)
graph.add_node(interface_test_node)
# 单元测试任务（核心逻辑）
test_counter += 1
unit_test_id = f"T-TEST-{test_counter:03d}"
unit_test_node = TaskNode(
id=unit_test_id,
status="TODO",
task=f"[单元测试] {module} 模块核心逻辑测试",
files_dirs=",".join(sorted(files)),
done_when="测试通过",
test_required=True,
)
graph.add_node(unit_test_node)
# 添加依赖边：实现任务 → 测试任务
for tid, node in graph.nodes.items():
if tid.startswith("T-TEST-"):
continue
# 检查是否属于同一模块
node_files = set(node.files_dirs.split(",")) if node.files_dirs else set()
if node_files & files: # 有交集，说明是同一模块的任务
graph.add_edge(Edge(source=tid, target=interface_test_id, kind="dependency"))
graph.add_edge(Edge(source=tid, target=unit_test_id, kind="dependency"))
def enter_mode(project_root: Path) -> dict:
paths = _paths(project_root)
_ensure_dirs(paths)
payload = {"enabled": True, "updatedAt": now_iso(), "projectRoot": str(project_root)}
atomic_json_write(paths["state"], payload)
return {"state_path": str(paths["state"])}
def parallel_review_mode(project_root: Path, todo_path: Path) -> dict:
paths = _paths(project_root)
_ensure_dirs(paths)
# 三阶段门控：仅在 confirmed 阶段允许写入 execution-plan.json
gate = ArcPhaseGate(paths["state"])
if not gate.can_write_plan():
return {
"blocked": True,
"reason": f"arc phase is '{gate.current_phase}', must be 'confirmed' before generating plan",
"currentPhase": gate.current_phase,
}
review = build_parallel_review(todo_path)
review_json_path = paths["reviews_dir"] / "parallel-review.json"
review_md_path = paths["reviews_dir"] / "parallel-review.md"
atomic_json_write(review_json_path, review.to_dict())
review_md_path.write_text(render_review_markdown(review), encoding="utf-8")
# 构建 DAG（包含边界测试任务注入）
graph, done_when_violations = _build_graph_from_todo(todo_path)
for edge_info in review.to_dict().get("edges", []):
graph.add_edge(Edge(source=edge_info["source"], target=edge_info["target"],
kind=edge_info.get("kind", "dependency")))
_export_task_graph_json(graph, paths["task_graph_json"])
# 生成执行计划
selected_tasks = review.parallel_groups[0].task_ids if review.parallel_groups else []
execution_plan = {
"generatedAt": now_iso(), "projectRoot": str(project_root),
"todoPath": str(todo_path), "planSource": "airarc-post-plan-review",
"parallelReview": review.to_dict(),
"selectedTasks": selected_tasks,
"parallelGroups": [g.to_dict() for g in review.parallel_groups],
"conflicts": [c.to_dict() for c in review.conflicts],
"serializationPoints": review.serialization_points,
"doneWhenViolations": done_when_violations, # P1-19.1: Done When 不含"测试通过"的任务
"boundaryTestTasks": [n.id for n in graph.nodes.values() if n.test_required],
}
atomic_json_write(paths["execution_plan_json"], execution_plan)
markdown_lines = [
"# AirArc Execution Plan", "",
f"- Generated: `{execution_plan['generatedAt']}`",
f"- Plan Source: `{execution_plan['planSource']}`", "",
"## Selected Tasks",
]
for tid in selected_tasks:
markdown_lines.append(f"- `{tid}`")
markdown_lines.extend(["", "## Parallel Groups"])
for g in review.parallel_groups:
markdown_lines.append(f"- `{g.name}`: {', '.join(g.task_ids)} — {g.reason}")
paths["execution_plan_md"].write_text("\n".join(markdown_lines) + "\n", encoding="utf-8")
atomic_json_write(paths["state"], {"enabled": True, "updatedAt": now_iso(),
"projectRoot": str(project_root)})
return {"json_path": str(review_json_path), "markdown_path": str(review_md_path),
"execution_plan_json_path": str(paths["execution_plan_json"]),
"parallel_group_count": len(review.parallel_groups),
"conflict_count": len(review.conflicts),
"done_when_violations": done_when_violations,
"boundary_test_task_count": len([n for n in graph.nodes.values() if n.test_required])}
def incremental_replan_mode(project_root: Path, todo_path: Path, previous_graph_path: Path | None = None) -> dict:
"""增量重规划：产出 PlanDelta 并喂回 prev graph，再写 plan-delta.json。"""
paths = _paths(project_root)
_ensure_dirs(paths)
review = build_parallel_review(todo_path)
new_graph, _ = _build_graph_from_todo(todo_path)
for edge_info in review.to_dict().get("edges", []):
new_graph.add_edge(Edge(source=edge_info["source"], target=edge_info["target"],
kind=edge_info.get("kind", "dependency")))
delta = PlanDelta()
if previous_graph_path and previous_graph_path.exists():
prev_graph = TaskGraph.load(previous_graph_path)
delta = new_graph.diff(prev_graph)
# 关键：把 delta 喂回去给 prev graph，保留已调度状态
if previous_graph_path.exists():
prev_graph.apply_delta(delta)
_export_task_graph_json(prev_graph, previous_graph_path)
else:
delta.added_tasks = list(new_graph.nodes.values())
delta.edge_changes.added = list(new_graph.edges)
atomic_json_write(paths["plan_delta_json"], {
"generatedAt": now_iso(),
"removedTasks": delta.removed_tasks,
"addedTasks": [{"id": n.id, "task": n.task, "filesDirs": n.files_dirs,
"doneWhen": n.done_when, "writeSet": n.write_set}
for n in delta.added_tasks],
"modifiedTasks": [{"id": n.id, "task": n.task, "filesDirs": n.files_dirs,
"doneWhen": n.done_when, "writeSet": n.write_set}
for n in delta.modified_tasks],
"edgeChanges": {
"added": [{"source": e.source, "target": e.target, "kind": e.kind}
for e in delta.edge_changes.added],
"removed": [{"source": e.source, "target": e.target, "kind": e.kind}
for e in delta.edge_changes.removed],
},
})
_export_task_graph_json(new_graph, paths["task_graph_json"])
log = EventLog(event_log_path(project_root))
log.emit("arc.replanned", {"delta_added": len(delta.added_tasks),
"delta_removed": len(delta.removed_tasks),
"delta_modified": len(delta.modified_tasks),
"edges_added": len(delta.edge_changes.added),
"edges_removed": len(delta.edge_changes.removed)})
return {"plan_delta_json_path": str(paths["plan_delta_json"]),
"task_graph_json_path": str(paths["task_graph_json"]),
"added_count": len(delta.added_tasks),
"removed_count": len(delta.removed_tasks),
"modified_count": len(delta.modified_tasks),
"edges_added": len(delta.edge_changes.added),
"edges_removed": len(delta.edge_changes.removed)}
def main(args) -> None:
project_root = Path(args.project).expanduser().resolve()
sub = args.sub or "status"
if sub == "enter":
result = enter_mode(project_root)
print("airplan_mode=arc")
print(f"state_path={result['state_path']}")
elif sub == "parallel-review":
tpath = Path(args.todo).expanduser().resolve() if args.todo else get_todo_path(project_root)
result = parallel_review_mode(project_root, tpath)
print("airplan_mode=arc")
print(f"json_path={result['json_path']}")
print(f"parallel_group_count={result['parallel_group_count']}")
print(f"conflict_count={result['conflict_count']}")
elif sub == "incremental-replan":
tpath = Path(args.todo).expanduser().resolve() if args.todo else get_todo_path(project_root)
prev = _paths(project_root)["task_graph_json"]
result = incremental_replan_mode(project_root, tpath, prev)
print("airplan_mode=arc")
print(f"plan_delta_path={result['plan_delta_json_path']}")
print(f"added={result['added_count']} removed={result['removed_count']}")
else:
paths = _paths(project_root)
state = safe_json_load(paths["state"]) or {}
print(f"airplan_mode=arc")
print(f"enabled={state.get('enabled', False)}")