feat: add adversarial_verdicts table with resume and terminal-verdict query
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -139,6 +139,28 @@ _DDL_INDEXES = [
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"CREATE INDEX IF NOT EXISTS idx_qgi_task_type ON question_gen_items(task_type);",
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]
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_DDL_VERDICTS = """
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CREATE TABLE IF NOT EXISTS adversarial_verdicts (
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question_id TEXT NOT NULL,
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question_hash TEXT NOT NULL,
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stage TEXT NOT NULL,
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round INTEGER NOT NULL,
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agent_prediction TEXT,
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agent_correct INTEGER,
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verdict TEXT NOT NULL,
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pair_id TEXT,
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agent_config TEXT NOT NULL,
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created_at TEXT NOT NULL DEFAULT (datetime('now')),
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PRIMARY KEY (question_id, question_hash, stage)
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);
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"""
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_DDL_VERDICTS_INDEXES = [
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"CREATE INDEX IF NOT EXISTS idx_av_qid ON adversarial_verdicts(question_id);",
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"CREATE INDEX IF NOT EXISTS idx_av_verdict ON adversarial_verdicts(verdict);",
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"CREATE INDEX IF NOT EXISTS idx_av_round ON adversarial_verdicts(round);",
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]
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# ---------------------------------------------------------------------------
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# Store 实现
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@@ -176,6 +198,9 @@ class QuestionGenStore:
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self._conn.execute(_DDL_ITEMS)
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for idx_sql in _DDL_INDEXES:
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self._conn.execute(idx_sql)
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self._conn.execute(_DDL_VERDICTS)
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for idx_sql in _DDL_VERDICTS_INDEXES:
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self._conn.execute(idx_sql)
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self._conn.commit()
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# 幂等迁移:为已有表加 sub_pattern / selector_scores 列
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@@ -382,6 +407,166 @@ class QuestionGenStore:
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if cursor.rowcount == 0:
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raise ValueError(f"item_id 不存在: {item_id}")
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def record_verdict(
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self,
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*,
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question_id: str,
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question_hash: str,
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stage: str,
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round: int, # noqa: A002 — 与设计列名一致,仅 kwargs 传入无遮蔽风险
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agent_prediction: str | None,
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agent_correct: bool | None,
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verdict: str,
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pair_id: str | None,
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agent_config: str,
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) -> None:
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"""写入一条 agent 门判定(同 (question_id, question_hash, stage) upsert)。
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每次写入立即 commit,保证崩溃安全(进程中断最多丢失当前未提交的一条)。
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Parameters
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----------
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question_id, question_hash, stage : str
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续跑主键三元组(stage ∈ cheat|flip_original|flip_mirror)。
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round : int
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过滤轮次。
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agent_prediction : str | None
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agent 预测答案字母。
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agent_correct : bool | None
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作弊门是否答对(翻转门 stage 可为 None)。
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verdict : str
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passed | filtered_too_easy | filtered_no_flip | flip_skipped。
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pair_id : str | None
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关联原题与镜像题。
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agent_config : str
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agent 配置指纹(skill_mode/max_steps/model)。
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"""
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self._conn.execute(
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"""
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INSERT INTO adversarial_verdicts
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(question_id, question_hash, stage, round, agent_prediction,
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agent_correct, verdict, pair_id, agent_config)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
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ON CONFLICT(question_id, question_hash, stage) DO UPDATE SET
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round=excluded.round,
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agent_prediction=excluded.agent_prediction,
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agent_correct=excluded.agent_correct,
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verdict=excluded.verdict,
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pair_id=excluded.pair_id,
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agent_config=excluded.agent_config,
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created_at=datetime('now')
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""",
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(
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question_id, question_hash, stage, round, agent_prediction,
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None if agent_correct is None else int(agent_correct),
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verdict, pair_id, agent_config,
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),
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)
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self._conn.commit()
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def completed_stages(
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self, question_id: str, question_hash: str, agent_config: str
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) -> set[str]:
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"""返回该题在当前 hash+config 下已完成的 stage 集合(续跑用)。
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Parameters
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----------
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question_id : str
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题目唯一标识。
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question_hash : str
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当前题面指纹;hash 不匹配的旧行视为未完成,需重跑试答。
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agent_config : str
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当前 agent 配置指纹。
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Returns
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-------
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set[str]
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已完成的 stage 名称集合。
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"""
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rows = self._conn.execute(
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"SELECT stage FROM adversarial_verdicts "
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"WHERE question_id=? AND question_hash=? AND agent_config=?",
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(question_id, question_hash, agent_config),
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).fetchall()
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return {r[0] for r in rows}
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def invalidate_stale_config(self, question_id: str, agent_config: str) -> None:
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"""agent_config 变化时,删除该题所有非当前 config 的旧 verdict。
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Parameters
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----------
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question_id : str
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题目唯一标识。
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agent_config : str
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当前 agent 配置指纹;保留该 config 行,其余全部删除。
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"""
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self._conn.execute(
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"DELETE FROM adversarial_verdicts "
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"WHERE question_id=? AND agent_config!=?",
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(question_id, agent_config),
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)
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self._conn.commit()
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def cheat_agent_accuracy(self, round_no: int) -> float:
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"""某轮作弊门 agent 正确率(agent_correct 聚合),无数据返 0.0。
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Parameters
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----------
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round_no : int
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过滤轮次。
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Returns
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-------
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float
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该轮 stage='cheat' 的 agent_correct 平均值;无数据时返回 0.0。
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"""
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row = self._conn.execute(
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"SELECT AVG(agent_correct) FROM adversarial_verdicts "
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"WHERE stage='cheat' AND round=?",
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(round_no,),
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).fetchone()
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return float(row[0]) if row and row[0] is not None else 0.0
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def final_passed_question_ids(
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self, hash_by_qid: dict[str, str], agent_config: str
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) -> set[str]:
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"""在当前 hash+config 下通过两门的 question_id 集合(final JSON 全量重建用)。
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终判规则(防 stale 泄漏):仅当该题在 **当前 question_hash + 当前
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agent_config** 下同时满足——存在 stage='cheat' 且 verdict='passed'
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(agent 答错=不太简单),且不存在任何 stage 的 verdict='filtered_no_flip'
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(未被翻转门剔除)——才计入 final-passed。stale hash / stale config 的旧行
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因不匹配传入的 (qid, hash, config) 天然被排除,绝不泄漏进最终题库。
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Parameters
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----------
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hash_by_qid : dict[str, str]
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question_id → 当前 question_hash 映射(来自本轮 all_questions)。
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agent_config : str
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当前 agent 配置指纹。
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Returns
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-------
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set[str]
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终判 passed 的 question_id 集合。
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"""
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passed: set[str] = set()
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for qid, qhash in hash_by_qid.items():
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rows = self._conn.execute(
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"SELECT stage, verdict FROM adversarial_verdicts "
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"WHERE question_id=? AND question_hash=? AND agent_config=?",
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(qid, qhash, agent_config),
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).fetchall()
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if not rows:
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continue
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cheat_passed = any(
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stage == "cheat" and verdict == "passed" for stage, verdict in rows
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)
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no_flip = any(verdict == "filtered_no_flip" for _, verdict in rows)
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if cheat_passed and not no_flip:
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passed.add(qid)
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return passed
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def update_selector_scores(self, item_id: str, selector_scores_json: str) -> None:
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"""写入 grounded selector 打分观测(JSON 字符串)。
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@@ -0,0 +1,86 @@
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---
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type: schema
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node_id: schema:adversarial-verdicts
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title: "表结构: adversarial_verdicts(Phase B agent 门判定)"
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date: 2026-07-14
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---
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# 表结构: adversarial_verdicts(Phase B agent 门判定)
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出题管线 Phase B 后置过滤层的持久化底座。记录 agent 对每题每 stage 的一次试答判定,支持
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按 `(question_id, question_hash, stage)` 续跑、按 `agent_config` 变化作废、聚合作弊门正确率,
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以及在当前 hash+config 下重建最终题库。与 Phase A 的 `question_gen_items` 表正交(互不影响)。
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## 列定义
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| 列名 | 类型 | 约束 | 说明 |
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|------|------|------|------|
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| `question_id` | TEXT | PK(1/3) NOT NULL | 题目唯一标识 |
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| `question_hash` | TEXT | PK(2/3) NOT NULL | 当前题面指纹;hash 不匹配的旧行视为未完成,需重跑试答 |
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| `stage` | TEXT | PK(3/3) NOT NULL | cheat / flip_original / flip_mirror |
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| `round` | INTEGER | NOT NULL | 过滤轮次 |
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| `agent_prediction` | TEXT | | agent 预测答案字母(可 NULL) |
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| `agent_correct` | INTEGER | | 作弊门是否答对(1/0;翻转门 stage 可为 NULL) |
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| `verdict` | TEXT | NOT NULL | passed / filtered_too_easy / filtered_no_flip / flip_skipped |
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| `pair_id` | TEXT | | 关联原题与镜像题(可 NULL) |
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| `agent_config` | TEXT | NOT NULL | agent 配置指纹(skill_mode/max_steps/model) |
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| `created_at` | TEXT | NOT NULL | ISO8601(写入/覆盖时刷新) |
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主键 `(question_id, question_hash, stage)`:同三元组重复写入即 upsert 覆盖(幂等)。
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### `verdict` 四枚举值
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| 值 | 语义 |
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|----|------|
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| `passed` | 通过本 stage(作弊门:agent 答错=不太简单;翻转门:镜像题翻转成立) |
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| `filtered_too_easy` | 作弊门剔除:agent 无视频即答对,题目太简单 |
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| `filtered_no_flip` | 翻转门剔除:镜像题答案未按预期翻转 |
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| `flip_skipped` | 翻转门跳过(未构造镜像题等) |
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## DDL
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```sql
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CREATE TABLE IF NOT EXISTS adversarial_verdicts (
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question_id TEXT NOT NULL,
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question_hash TEXT NOT NULL,
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stage TEXT NOT NULL,
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round INTEGER NOT NULL,
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agent_prediction TEXT,
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agent_correct INTEGER,
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verdict TEXT NOT NULL,
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pair_id TEXT,
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agent_config TEXT NOT NULL,
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created_at TEXT NOT NULL DEFAULT (datetime('now')),
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PRIMARY KEY (question_id, question_hash, stage)
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);
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CREATE INDEX IF NOT EXISTS idx_av_qid ON adversarial_verdicts(question_id);
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CREATE INDEX IF NOT EXISTS idx_av_verdict ON adversarial_verdicts(verdict);
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CREATE INDEX IF NOT EXISTS idx_av_round ON adversarial_verdicts(round);
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```
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## 非功能性行为
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| 维度 | 策略 |
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|------|------|
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| 持久化 | 每次 `record_verdict` 立即 commit,崩溃最多丢失当前未提交的一条 |
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| 幂等性 | 主键 upsert;`CREATE TABLE IF NOT EXISTS` 天然幂等,重复 `_init_schema` 安全 |
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| 断点续跑 | `completed_stages(qid, hash, config)` 返回已完成 stage,重启只补跑未完成的 |
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| config 作废 | `invalidate_stale_config(qid, config)` 真正 DELETE 非当前 config 的旧行 |
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## Store 方法
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| 方法 | 用途 |
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|------|------|
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| `record_verdict(...)` | upsert 一条 agent 门判定(Phase B Task 6 记 verdict) |
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| `completed_stages(qid, hash, config)` | 续跑:当前 hash+config 下已完成的 stage 集合 |
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| `invalidate_stale_config(qid, config)` | agent_config 变化时删除该题所有旧 config 行 |
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| `cheat_agent_accuracy(round_no)` | 某轮 stage='cheat' 的 agent_correct 平均值(无数据返 0.0) |
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| `final_passed_question_ids(hash_by_qid, config)` | 终判 passed 集合,final JSON 全量重建用 |
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### 终判规则(防 stale 泄漏)
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`final_passed_question_ids` 仅当该题在 **当前 question_hash + 当前 agent_config** 下同时满足:
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存在 `stage='cheat'` 且 `verdict='passed'`,且不存在任何 stage 的 `verdict='filtered_no_flip'`,
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才计入 final-passed。stale hash / stale config 的旧行因不匹配传入的 `(qid, hash, config)`
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天然被排除,绝不泄漏进最终题库。
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@@ -0,0 +1,93 @@
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"""adversarial_verdicts 表:写入 / 续跑查询 / agent_config 作废 / 正确率聚合。"""
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from app.question_gen.run_store import QuestionGenStore
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def _store(tmp_path):
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return QuestionGenStore(str(tmp_path / "q.db"))
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def _row(**kw):
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base = {
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"question_id": "v1_Action Recognition_0001", "round": 0, "stage": "cheat",
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"question_hash": "h1", "agent_prediction": "B", "agent_correct": False,
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"verdict": "passed", "pair_id": None, "agent_config": "cfg1",
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}
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base.update(kw)
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return base
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def test_table_created(tmp_path):
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store = _store(tmp_path)
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cols = {r[1] for r in store._conn.execute("PRAGMA table_info(adversarial_verdicts)")}
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assert {"question_id", "round", "stage", "question_hash", "agent_prediction",
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"agent_correct", "verdict", "pair_id", "agent_config"} <= cols
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store.close()
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def test_record_and_resume_lookup(tmp_path):
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store = _store(tmp_path)
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store.record_verdict(**_row(stage="cheat"))
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done = store.completed_stages("v1_Action Recognition_0001", "h1", "cfg1")
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assert done == {"cheat"}
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# 不同 hash 视为未完成
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assert store.completed_stages("v1_Action Recognition_0001", "h2", "cfg1") == set()
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store.close()
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def test_agent_config_change_invalidates(tmp_path):
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store = _store(tmp_path)
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store.record_verdict(**_row(stage="cheat"))
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store.invalidate_stale_config("v1_Action Recognition_0001", "cfg2")
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# 旧 config 行必须被真正删除(不能只靠 cfg2 查空——no-op 也满足那个弱断言)
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assert store.completed_stages("v1_Action Recognition_0001", "h1", "cfg1") == set()
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cfg1_rows = store._conn.execute(
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"SELECT COUNT(*) FROM adversarial_verdicts WHERE agent_config='cfg1'"
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).fetchone()[0]
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assert cfg1_rows == 0
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assert store.completed_stages("v1_Action Recognition_0001", "h1", "cfg2") == set()
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store.close()
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def test_upsert_same_key_overwrites(tmp_path):
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store = _store(tmp_path)
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store.record_verdict(**_row(agent_prediction="A"))
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store.record_verdict(**_row(agent_prediction="C"))
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rows = store._conn.execute(
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"SELECT agent_prediction FROM adversarial_verdicts "
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"WHERE question_id=? AND question_hash=? AND stage=?",
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("v1_Action Recognition_0001", "h1", "cheat"),
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).fetchall()
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assert len(rows) == 1 and rows[0][0] == "C"
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store.close()
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def test_cheat_accuracy_aggregation(tmp_path):
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store = _store(tmp_path)
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store.record_verdict(**_row(question_id="q1", question_hash="a", agent_correct=True))
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store.record_verdict(**_row(question_id="q2", question_hash="b", agent_correct=False))
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store.record_verdict(**_row(question_id="q3", question_hash="c", agent_correct=True))
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assert store.cheat_agent_accuracy(round_no=0) == 2 / 3
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store.close()
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def test_final_passed_question_ids_survives_both_gates(tmp_path):
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store = _store(tmp_path)
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# q1 太简单被作弊门剔除;q2 过两门;q3 被翻转门剔除(filtered_no_flip)
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store.record_verdict(**_row(question_id="q1", question_hash="a", stage="cheat",
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verdict="filtered_too_easy"))
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store.record_verdict(**_row(question_id="q2", question_hash="b", stage="cheat",
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verdict="passed"))
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store.record_verdict(**_row(question_id="q3", question_hash="c", stage="cheat",
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verdict="passed"))
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store.record_verdict(**_row(question_id="q3", question_hash="c", stage="flip_mirror",
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verdict="filtered_no_flip"))
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passed = store.final_passed_question_ids(
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{"q1": "a", "q2": "b", "q3": "c"}, "cfg1"
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)
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assert passed == {"q2"} # 仅 q2:cheat=passed 且无 filtered_no_flip
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# stale hash 不泄漏(当前 hash 不匹配旧行)
|
||||
assert store.final_passed_question_ids({"q2": "stale"}, "cfg1") == set()
|
||||
# stale config 不泄漏
|
||||
assert store.final_passed_question_ids({"q2": "b"}, "cfgX") == set()
|
||||
store.close()
|
||||
Reference in New Issue
Block a user