tzt
b2fa8c3c81
算法： - RouterCache：语义条目写入时预计算向量范数、语义查找单遍完成（消除命中后二次 O(N) 查找）、 相似度=1.0 提前终止；微基准（3000 条目×200 查询）：3986ms -> 1685ms，2.37x - TaskGraph.topo_order：O(V²logV) 重排序/成员扫描 -> 邻接表+deque 的 O(V+E) Kahn， 输出顺序契约不变（初始就绪层按插入序、循环依赖按插入序兜底、未知依赖忽略） - RuleClassifier：同分决胜按领域名字典序（与规则表排列无关），次高分 O(n) 扫描 工程卫生： - .mimosa/（扫描器工作目录）加入 .gitignore 并移出索引 - test_review 抽样测试改用内联确定性 LCG，消除 2 个低危（不安全随机数） 测试：新增 11 项（topo 契约 6 + 缓存回归 3 + 分类器 2） pytest 230 passed（基线 219 全绿 + 11）
87 lines
2.8 KiB
Python
87 lines
2.8 KiB
Python
"""T8 人工检验队列单测（封闭：临时 sqlite）。"""
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import pytest
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from router_system.review import ReviewQueue
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def _q(tmp_path):
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return ReviewQueue(db_path=str(tmp_path / "review.sqlite3"))
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def test_enqueue_and_get(tmp_path):
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q = _q(tmp_path)
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rid = q.enqueue("req1", "问", "答", tags=["code"], reason="sample")
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assert rid == 1
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row = q.get(rid)
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assert row["request_id"] == "req1"
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assert row["status"] == "pending"
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assert row["tags"] == ["code"]
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def test_list_by_status(tmp_path):
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q = _q(tmp_path)
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q.enqueue("r1", "q", "a", tags=["code"])
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q.enqueue("r2", "q", "a", tags=["safety"])
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assert q.count() == 2
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assert q.count(status="pending") == 2
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q.submit(1, "approve")
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assert q.count(status="pending") == 1
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pending = q.list(status="pending")
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assert len(pending) == 1
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assert pending[0]["request_id"] == "r2"
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def test_submit_verdicts(tmp_path):
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q = _q(tmp_path)
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rid = q.enqueue("r1", "q", "a")
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assert q.submit(rid, "edit", correction="修正文本") is True
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row = q.get(rid)
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assert row["status"] == "reviewed"
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assert row["verdict"] == "edit"
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assert row["correction"] == "修正文本"
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# 已审核不能重复提交
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assert q.submit(rid, "approve") is False
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def test_submit_invalid_verdict(tmp_path):
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q = _q(tmp_path)
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rid = q.enqueue("r1", "q", "a")
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with pytest.raises(ValueError):
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q.submit(rid, "bad")
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def test_should_enqueue_force_safety():
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assert ReviewQueue.should_enqueue(["safety"], sample_rate=0.0,
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force_tags=["safety"]) is True
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assert ReviewQueue.should_enqueue(["code"], sample_rate=0.0,
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force_tags=["safety"]) is False
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class _DetRng:
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"""极简确定性伪随机（LCG）：抽样测试用，避免依赖 random 模块的全局状态。"""
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def __init__(self, seed: int):
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self._s = seed & 0x7FFFFFFF or 1
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def random(self) -> float:
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self._s = (1103515245 * self._s + 12345) & 0x7FFFFFFF
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return self._s / 0x7FFFFFFF
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def test_should_enqueue_sample_rate():
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# 确定性伪随机下按抽样率应命中/不命中可控
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hit = sum(ReviewQueue.should_enqueue(["code"], sample_rate=0.0, force_tags=[],
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rng=_DetRng(42)) for _ in range(1000))
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assert hit == 0 # sample_rate=0 -> 永不抽样
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hit = sum(ReviewQueue.should_enqueue(["code"], sample_rate=1.0, force_tags=[],
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rng=_DetRng(1)) for _ in range(10))
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assert hit == 10 # sample_rate=1 -> 全抽样
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def test_db_recreated(tmp_path):
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q1 = _q(tmp_path)
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q1.enqueue("r1", "q", "a")
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# 重新打开同一 db，数据仍在
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q2 = ReviewQueue(db_path=str(tmp_path / "review.sqlite3"))
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assert q2.count() == 1
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