feat(check): 偏离栏直读、响应错位判断；复查复用和硬预算（C2）

- deviation.py：模型判已响应的条目，证据所在表格行的偏离格写着「偏离 / 部分满足」等
  就改判负偏离；照抄要求格、响应格写的是别的内容的改判「响应可能对不上」
- reuse.py：按「提示词 + 要求 + 候选句原文」算缓存键，存模型原始结论；复查时内容没变、
  证据找得回的条目直接沿用，不调模型
- 每次检查送给模型的字数有上限，超出的条目列为请人工核对，写进覆盖范围
- 开发集 17 份：召回 61% → 73%，负偏离未说明 64% → 90%，规矩投标文件问题数不变

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

server/tests/test_check_units.py

@@ -191,3 +191,91 @@ def test_manual_topics_merge_by_topic_and_skip_irrelevant() -> None:
     assert list(got) == ["DECRYPT", "SIGN_ENCRYPT", "PAPER", "SUBMIT"]
     assert got["SIGN_ENCRYPT"] == ["须用CA数字证书加密投标文件"]
     assert got["SUBMIT"][0].startswith("投标文件递交截止")  # 写明截止时间的做代表
+
+
+def test_direct_read_turns_negative_deviation_cell_into_finding() -> None:
+    """偏离栏直读：证据句所在的表格行里偏离格写「偏离」，模型判了已响应也改判负偏离（check-eval §8）。"""
+    from bid_doctor.check import deviation
+
+    def c(seq: int, text: str, x0: float, y: float) -> Sentence:
+        s = Sentence(key=f"b:p1:s{seq}", page_no=1, seq=seq, text=text, quads=[[x0 + 2, y + 4, x0 + 90, y + 16]])
+        s.cell = [x0, y, x0 + 100, y + 30]
+        return s
+
+    req, resp, dev = c(1, "支持链路聚合", 100, 50), c(2, "满足，支持链路聚合", 200, 50), c(3, "偏离", 300, 50)
+    req2, resp2, dev2 = c(4, "支持堆叠", 100, 80), c(5, "满足，支持堆叠", 200, 80), c(6, "无偏离", 300, 80)
+    prose = Sentence(
+        key="b:p1:s7", page_no=1, seq=7, text="如不满足上述要求，按负偏离处理。", quads=[[74, 120, 500, 132]]
+    )
+    d = match.BidDoc(uuid4(), 1, "技术分册", [req, resp, dev, req2, resp2, dev2, prose])
+    results = {
+        uuid4(): match.Result("responded", "ai", "verified", evidence=[(d, resp)]),
+        uuid4(): match.Result("responded", "ai", "verified", evidence=[(d, resp2)]),
+        uuid4(): match.Result("responded", "ai", "verified", evidence=[(d, prose)]),
+    }
+    assert deviation.direct_read(results, [d]) == 1
+    first, second, third = results.values()
+    assert first.verdict == "negative_deviation" and [s.text for _, s in first.evidence] == [
+        "满足，支持链路聚合",
+        "偏离",
+    ]
+    assert first.detail["model_verdict"] == "responded"
+    assert second.verdict == third.verdict == "responded"
+
+
+def test_mismatch_read_only_when_response_cell_is_unrelated() -> None:
+    """响应对象错位（D09）：证据只是照抄的要求格、同一行响应格写的是别的内容 → 未找到响应。
+    指引、相关内容、只写满足的不算。"""
+    from bid_doctor.check import deviation
+
+    def c(seq: int, text: str, x0: float, y: float) -> Sentence:
+        s = Sentence(key=f"b:p1:s{seq}", page_no=1, seq=seq, text=text, quads=[[x0 + 2, y + 4, x0 + 90, y + 16]])
+        s.cell = [x0, y, x0 + 100, y + 30]
+        return s
+
+    rows = [
+        ("支持云管理、VLAN隔离、标准交换三种工作模式", "显示器升降行程：150mm"),
+        ("支持端口汇聚、端口流量统计", "满足，支持端口汇聚和端口流量统计"),
+        ("批量数据处理在非工作时段内完成", "满足，详见技术方案第12页"),
+        ("系统支持国产操作系统", "满足"),
+    ]
+    sents, results, items = [], {}, {}
+    for n, (req, resp) in enumerate(rows):
+        a, b, dev = (
+            c(n * 3 + 1, req, 100, 50 + n * 40),
+            c(n * 3 + 2, resp, 200, 50 + n * 40),
+            c(n * 3 + 3, "无偏离", 300, 50 + n * 40),
+        )
+        sents += [a, b, dev]
+        k = uuid4()
+        items[k] = {"title": req, "requirement_text": req}
+        results[k] = (a, b)
+    d = match.BidDoc(uuid4(), 1, "技术分册", sents)
+    res = {k: match.Result("responded", "ai", "verified", evidence=[(d, a)]) for k, (a, _) in results.items()}
+    assert deviation.mismatch_read(res, items, [d]) == 1
+    verdicts = [r.verdict for r in res.values()]
+    assert verdicts == ["not_found", "responded", "responded", "responded"]
+    first = next(iter(res.values()))
+    assert first.detail["mismatch"] == "显示器升降行程：150mm" and first.reason_code == "response_mismatch"
+
+
+async def test_over_budget_items_are_undetermined_without_model_calls() -> None:
+    """硬预算（C2）：超出预算的批次不调模型，条目记「超出预算」，覆盖范围另外写明。"""
+    from bid_doctor.core.db import TenantContext
+
+    d, _ = bid()
+    items = {
+        uuid4(): {
+            "title": "服务器内存不低于32GB",
+            "requirement_text": "服务器内存不低于32GB",
+            "categories": ["tech_param"],
+        }
+    }
+
+    async def progress(_: float) -> None:
+        return None
+
+    ctx = TenantContext(tenant_id=uuid4(), user_id=uuid4())
+    results, stats = await match.run(ctx, uuid4(), items, [d], progress, budget=10)
+    (r,) = results.values()
+    assert (r.verdict, r.reason_code, stats.calls, stats.over_budget) == ("undetermined", "over_budget", 0, 1)