Files
cad-agent/dwg_review/checks.py
T
gjm f6d61f8d07 feat(review): 新增确定性检查前置与结论结构化内核
- checks.py:确定性检查(find_zero_length / find_duplicate_entities 传 window
  + 纯 Python 派生空文字、未闭合多段线)。问题带 source=deterministic,handle 来自
  工具/数据本身,不依赖 LLM 回忆
- findings.py:解析 LLM 的 JSON 结论 + handle 交叉校验(引用未知 handle 时保留问题、
  剥掉 handle、verified=False)+ findings 装配
- config.py:新增 DETERMINISTIC_CHECKS / VALIDATE_HANDLES / CHECK_UNCLOSED_POLYLINES
  开关与 ZERO_LENGTH_TOLERANCE / DUP_TOLERANCE / DUP_GROUP_LIMIT

实机验证:find_zero_length / find_duplicate_entities 的 window 参数在基座上生效
(schema 未声明,C++ 侧 parseCommonQuery 实际支持)。
2026-10-14 19:53:31 +08:00

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"""确定性检查:MCP 工具(find_zero_length / find_duplicate_entities)+ 纯 Python 派生。
产出的 issue 带 `source="deterministic"`,其 handle 来自工具/数据本身,
因此被视为**可信**,可直接进入批注链路,不依赖 LLM 回忆。
注意:`find_zero_length` / `find_duplicate_entities` 的 `window` 参数在 C++ 侧
(`parseCommonQuery`)**实际生效**,只是 JSON schema 未声明——Python 侧显式传参即可。
"""
from . import config
from .mcp_client import McpError, McpToolError, result_json
def make_issue(category, severity, message, *, handle=None, handles=None,
source="deterministic"):
"""构造统一 issue(`verified` 由 findings 层补齐)。"""
issue = {
"category": category,
"severity": severity,
"message": message,
"source": source,
}
if handle:
issue["handle"] = handle
if handles:
issue["handles"] = list(handles)
return issue
def _iter_items(envelope):
"""健壮迭代 items(`result_json` 解析失败会返回原始字符串)。"""
if not isinstance(envelope, dict):
return []
items = envelope.get("items")
if not isinstance(items, list):
return []
return [i for i in items if isinstance(i, dict)]
# ---------------------------------------------------------------------------
# MCP 检查
# ---------------------------------------------------------------------------
def check_zero_length(ctx, window, *, tolerance, limit, log=print):
"""find_zero_length(window) → 逐条零长度实体转 issue。"""
try:
resp = ctx.tools.call(
"find_zero_length",
{"window": window, "tolerance": tolerance, "limit": limit},
)
except (McpError, McpToolError) as exc:
log(f" [确定性] find_zero_length 失败: {exc}")
return []
out = []
for item in _iter_items(result_json(resp, {})):
handle = item.get("handle")
if not handle:
continue
out.append(
make_issue(
"几何", "medium",
f"零长度/退化实体(类型 {item.get('type')},长度 {item.get('length')})",
handle=handle,
)
)
return out
def check_duplicate_entities(ctx, window, *, tolerance, group_limit, log=print):
"""find_duplicate_entities(window) → 每个重复组一条 issue。
`limit` 的语义是「最大重复组数」(非条目数)。一组重复是一个问题,
故只产出一条 issue,主 handle 取组内首个,全部 handle 放进 `handles`。
"""
try:
resp = ctx.tools.call(
"find_duplicate_entities",
{"window": window, "tolerance": tolerance, "limit": group_limit},
)
except (McpError, McpToolError) as exc:
log(f" [确定性] find_duplicate_entities 失败: {exc}")
return []
env = result_json(resp, {})
groups = env.get("groups") if isinstance(env, dict) else None
out = []
for group in groups or []:
if not isinstance(group, dict):
continue
handles = [h for h in (group.get("handles") or []) if h]
if not handles:
continue
out.append(
make_issue(
"几何", "low",
f"重复/重叠实体组(类型 {group.get('type')},共 {len(handles)} 个几何相同)",
handle=handles[0],
handles=handles,
)
)
return out
# ---------------------------------------------------------------------------
# 纯 Python 派生(零额外 MCP 往返)
# ---------------------------------------------------------------------------
def _empty_texts(evidence):
out = []
for item in _iter_items(evidence.get("texts")):
content = item.get("content")
if content is None or str(content).strip() == "":
out.append(
make_issue("文字", "medium", "存在空文字或仅含空格的文字",
handle=item.get("handle"))
)
return out
def _unclosed_polylines(evidence):
out = []
for item in _iter_items(evidence.get("polylines")):
if item.get("vertex_count", 0) >= 3 and item.get("closed") is False:
out.append(
make_issue("几何", "low",
"多段线顶点≥3但未闭合,可能是应当闭合的轮廓",
handle=item.get("handle"))
)
return out
def derive_from_evidence(evidence, *, check_unclosed=True):
"""从已采集证据里做零成本派生检查。"""
issues = _empty_texts(evidence)
if check_unclosed:
issues += _unclosed_polylines(evidence)
return issues
# ---------------------------------------------------------------------------
# 入口
# ---------------------------------------------------------------------------
def run_deterministic_checks(ctx, evidence, *, log=print):
"""对单个图框跑全部确定性检查,返回 issue 列表。
任何单项 MCP 失败都只记录并跳过,不抛出(不拖垮该图框)。
"""
issues = derive_from_evidence(
evidence, check_unclosed=config.CHECK_UNCLOSED_POLYLINES
)
window = evidence.get("window")
if window:
issues += check_zero_length(
ctx, window,
tolerance=config.ZERO_LENGTH_TOLERANCE,
limit=config.FRAME_ENTITY_LIMIT,
log=log,
)
issues += check_duplicate_entities(
ctx, window,
tolerance=config.DUP_TOLERANCE,
group_limit=config.DUP_GROUP_LIMIT,
log=log,
)
return issues