#!/usr/bin/env python3
"""upgrade 升格拆卡执行器·纯逻辑离线自测（升格卡改造 3 洞补齐）。

红线：**不连真实库、不发任何网络/嵌入/LLM 调用**——只覆盖纯函数、提示词构造器和
使用内存 fake DB 的事务/CAS 合同：
  · 机械判重分类 _classify_new_name（各分支）
  · 登场兜底 _debut_milestone（有/无登场、无出场章、跨章事实隔离）
  · 里程碑台阶守卫 _clean_milestone（超 80 字截断）
  · 归并材料 _merge_material（演变历程完整不截、其余字段截断）
  · embed_drafts.build_embed_text 对 type 键的型修正
  · observe/update/relation 三个提示词含关键纪律语句
连库/联网路径（prejudge_semantic / recall_neighbors / semantic_dedup / embed_touched_cards）
本测试**不触碰真实服务**——质量修复命令只通过 fake DB 验证 preview、CAS 和原子写入，
不在离线自测中执行真实 work/window。

跑法：仓库根目录 `.venv/bin/python tests/skills/extract-work-knowledge/test_parse_upgrade_offline.py`
"""
import json
import hashlib
import inspect
from io import StringIO
import pathlib
import sys
from contextlib import nullcontext
from contextlib import redirect_stderr
from copy import deepcopy
from unittest.mock import patch

from click.testing import CliRunner

# 从生产 scripts 导入 upgrade；upgrade 自己装配 parse-book/embed/llm 的生产模块路径。
PROJECT_ROOT = pathlib.Path(__file__).resolve().parents[3]
SCRIPT_DIR = PROJECT_ROOT / ".claude" / "skills" / "extract-work-knowledge" / "scripts"
sys.path.insert(0, str(SCRIPT_DIR))
import upgrade as pu  # noqa: E402
import embed_drafts  # noqa: E402  （型修正验证在 embed skill 本体）

_passed = 0


def check(name, cond, detail=""):
    """单项断言：通过打 [PASS]，失败抛 AssertionError（带上下文，令 CI/人工一眼定位）。"""
    global _passed
    assert cond, f"[FAIL] {name} :: {detail}"
    _passed += 1
    print(f"[PASS] {name}")


# ── ① 机械判重分类 _classify_new_name（洞①：预判段与写段共用判据）──
def test_classify_new_name():
    name_map = {
        "张三": (10, "character", "主角"),
        "生物机甲": (20, "power_system", "机甲体系"),
        "开心果子": (30, "item", "道具"),
    }
    presence = {("character", "李四"): {5, 12}}  # 李四靠留档跨章

    check("classify-empty",
          pu._classify_new_name({"名称": "   ", "型": "character"}, name_map, presence) == ("empty", None))
    check("classify-merge(在册直接归并)",
          pu._classify_new_name({"名称": "张三", "型": "character"}, name_map, presence) == ("merge", "张三"))
    check("classify-alias(疑似别名指向在册)",
          pu._classify_new_name({"名称": "阿三", "型": "character", "疑似别名指向": "张三"},
                                name_map, presence) == ("alias", "张三"))
    check("classify-substr(同型互为子串)",
          pu._classify_new_name({"名称": "果子", "型": "item", "出场章": [1]},
                                name_map, presence) == ("substr", "开心果子"))
    # 子串判据须同型：果子(character) 不应命中 开心果子(item)，单章 → presence
    check("classify-substr跨型不命中",
          pu._classify_new_name({"名称": "果子", "型": "character", "出场章": [1]},
                                name_map, presence) == ("presence", None))
    check("classify-new(本窗跨章立卡)",
          pu._classify_new_name({"名称": "王五", "型": "character", "出场章": [3, 8]},
                                name_map, presence) == ("new", None))
    check("classify-new(留档补足跨章)",
          pu._classify_new_name({"名称": "李四", "型": "character", "出场章": [20]},
                                name_map, presence) == ("new", None))
    check("classify-presence(单章龙套留档)",
          pu._classify_new_name({"名称": "路人甲", "型": "character", "出场章": [7]},
                                name_map, presence) == ("presence", None))


def test_classify_candidate_alias_same_type_merges():
    """候选自身别名命中同型既有卡时，允许机械 alias 归并。"""

    name_map = {"伊琳娅丝": (24403, "item", "既有物件别名")}
    candidate = {
        "型": "item",
        "名称": "VI代生物机甲·伊琳娅丝",
        "别名": [" 伊琳娅丝 "],
        "出场章": [527, 528],
    }
    check(
        "classify-own-alias-同型命中既有draft",
        pu._classify_new_name(candidate, name_map, {}) == ("alias", "伊琳娅丝"),
    )


def test_classify_candidate_alias_cross_type_does_not_merge():
    """候选自身别名命中跨型既有卡时，纯分类阶段不得直接归并。"""

    name_map = {"伊琳娅丝": (24403, "character", "既有角色别名")}
    candidate = {
        "型": "item",
        "名称": "VI代生物机甲·伊琳娅丝",
        "别名": [" 伊琳娅丝 "],
        "出场章": [527, 528],
    }
    try:
        pu._classify_new_name(candidate, name_map, {})
    except RuntimeError as exc:
        check("classify-own-alias-跨型未裁决失败关闭", "跨型" in str(exc))
    else:
        check("classify-own-alias-跨型未裁决失败关闭", False, detail="未抛稳定冲突")


def test_classify_cross_type_hits_without_normalization_fail_closed():
    """规范名、alias/hint 跨型未被上游规范化时均稳定失败，伪造旧标记也无效。"""

    canonical = "既有角色"
    target = (24403, "character", "既有角色摘要")
    name_map = {canonical: target, "伊琳娅丝": target}
    cases = [
        ("规范名", {"型": "item", "名称": canonical, "别名": [], "出场章": [527, 528]}),
        ("alias", _cross_type_candidate()),
        (
            "伪造旧标记",
            {**_cross_type_candidate(), "_cross_type_alias_arbitrated": True},
        ),
    ]
    for label, candidate in cases:
        try:
            pu._classify_new_name(candidate, name_map, {})
        except RuntimeError as exc:
            check(f"classify-cross-type-{label}-失败关闭", "跨型" in str(exc))
        else:
            check(f"classify-cross-type-{label}-失败关闭", False, detail="未抛稳定冲突")


def test_classify_multiple_candidate_aliases_same_draft_merges():
    """候选多个清洗后别名命中同一 draft 时仍按一个实体归并。"""

    target = (24403, "item", "既有物件别名")
    name_map = {"伊琳娅丝": target, "琳娅丝": target}
    candidate = {
        "型": "item",
        "名称": "VI代生物机甲·伊琳娅丝",
        "别名": ["伊琳娅丝", " 琳娅丝 "],
        "出场章": [527, 528],
    }
    kind, key = pu._classify_new_name(candidate, name_map, {})
    check(
        "classify-own-alias-多个别名同draft仍归并",
        kind == "alias" and key in {"伊琳娅丝", "琳娅丝"}
        and name_map[key][0] == 24403,
    )


def test_classify_multiple_candidate_aliases_different_drafts_fails_closed():
    """候选多个别名命中不同 draft 时必须在判重阶段失败关闭。"""

    name_map = {
        "伊琳娅丝": (24403, "character", "既有角色别名"),
        "机甲伊琳": (24404, "item", "既有机甲别名"),
    }
    candidate = {
        "型": "item",
        "名称": "VI代生物机甲·伊琳娅丝",
        "别名": ["伊琳娅丝", "机甲伊琳"],
        "出场章": [527, 528],
    }
    try:
        pu._classify_new_name(candidate, name_map, {})
    except RuntimeError as exc:
        check("classify-own-alias-多个draft失败关闭", "多个 draft" in str(exc))
    else:
        check("classify-own-alias-多个draft失败关闭", False, detail="未抛出冲突")


def _cross_type_candidate(aliases=None):
    """构造窗口97使用的跨型别名候选。"""

    return {
        "型": "item",
        "名称": "VI代生物机甲·伊琳娅丝",
        "别名": ["伊琳娅丝"] if aliases is None else aliases,
        "一句话摘要": "候选机甲摘要",
        "字段": {"当前状态": "在机库活动"},
        "出场章": [527, 528],
    }


def _cross_type_known():
    """构造规范名与别名均指向 character draft=24403 的底册。"""

    canonical = "既有角色"
    target = (24403, "character", "既有角色摘要")
    return canonical, {
        canonical: target,
        "伊琳娅丝": target,
    }, {24403: {"伊琳娅丝"}}


def _cross_type_decision(candidate, canonical, verdict, aliases=None):
    """构造严格绑定候选与 owner 的裁决行。"""

    return {
        "候选名称": candidate["名称"],
        "候选类型": candidate["型"],
        "已有规范名": canonical,
        "已有类型": "character",
        "冲突别名": ["伊琳娅丝"] if aliases is None else aliases,
        "候选出场章": list(candidate.get("出场章") or []),
        "裁决": verdict,
    }


def _cross_type_arbitration_call(decisions, calls):
    """构造只响应跨型别名裁决的离线 call fake。"""

    def call(prompt, need_keys):
        calls.append((prompt, need_keys))
        if need_keys != ("跨型别名裁决",):
            raise AssertionError(f"不应出现的裁决外模型调用：{need_keys}")
        return {"跨型别名裁决": deepcopy(decisions)}, {}

    return call


def test_cross_type_alias_arbitration_same_entity_updates_existing_plan():
    """same_entity 后设置疑似别名指向，planner 更新旧卡并登记完整称谓。"""

    canonical, name_map, aliases_by_draft = _cross_type_known()
    candidate = _cross_type_candidate()
    obs = {"新名字": [candidate], "已知实体新信息": [], "纯出场": []}
    calls = []
    pu._arbitrate_cross_type_aliases(
        obs, name_map, aliases_by_draft,
        "第527章原文：VI代生物机甲·伊琳娅丝现身。\n第528章原文：伊琳娅丝继续行动。",
        _cross_type_arbitration_call(
            [_cross_type_decision(candidate, canonical, "same_entity")], calls
        ),
    )
    check("cross-type-same-设置疑似别名指向", candidate["疑似别名指向"] == canonical)
    check("cross-type-same-规范化为owner型", candidate["型"] == "character")
    check(
        "cross-type-same-裁决绑定出场章",
        '"候选出场章"' in calls[0][0]
        and '527' in calls[0][0]
        and '528' in calls[0][0],
        detail=calls[0][0],
    )
    plan = pu._plan_window_entities(
        8, 97, obs, name_map, {}, aliases_by_draft, {}, False, set(),
        {527: "VI代生物机甲·伊琳娅丝现身。", 528: "伊琳娅丝继续行动。"},
    )
    check(
        "cross-type-same-update旧draft登记完整称谓",
        set(plan["to_update"]) == {24403}
        and any(
            action[0] == "alias" and action[1] == 24403
            and action[2] == canonical and action[3] == candidate["名称"]
            for action in plan["actions"]
        ),
        detail=str(plan),
    )
    check(
        "cross-type-same-不创建new-payload",
        plan["payloads"] == {} and not any(action[0] == "new" for action in plan["actions"]),
        detail=str(plan),
    )
    check("cross-type-same-单次批量裁决", len(calls) == 1)


def test_same_type_multi_owner_exact_name_skips_arbitration_and_merges():
    """精确候选名命中同型 owner 时，附加别名命中另一同型 owner 仍走精确 merge。"""

    primary = (24403, "character", "加布雷斯大将卡")
    secondary = (24404, "character", "加布雷斯大将之父卡")
    name_map = {
        "加布雷斯大将": primary,
        "加布雷斯大将之父": secondary,
    }
    aliases_by_draft = {24403: set(), 24404: {"加布雷斯大将之父"}}
    candidate = {
        "型": "character",
        "名称": "加布雷斯大将",
        "别名": ["加布雷斯大将之父"],
        "一句话摘要": "同型精确名称候选",
        "字段": {"当前状态": "出现"},
        "出场章": [569, 570],
    }
    calls = []

    def must_not_arbitrate(*args):
        calls.append(args)
        raise AssertionError("同型精确名称命中不得调用跨型裁决")

    pu._arbitrate_cross_type_aliases(
        {"新名字": [candidate], "已知实体新信息": [], "纯出场": []},
        name_map,
        aliases_by_draft,
        "第569章加布雷斯大将出现。第570章加布雷斯大将之父提及。",
        must_not_arbitrate,
    )
    check("same-type-multi-owner-裁决零调用", calls == [])
    check(
        "same-type-multi-owner-精确分类merge",
        pu._classify_new_name(candidate, name_map, {}) == ("merge", "加布雷斯大将"),
    )
    plan = pu._plan_window_entities(
        8,
        110,
        {"新名字": [candidate], "已知实体新信息": [], "纯出场": []},
        name_map,
        {},
        aliases_by_draft,
        {},
        False,
        set(),
        {569: "第569章加布雷斯大将出现。", 570: "第570章加布雷斯大将之父提及。"},
    )
    check(
        "same-type-multi-owner-planner只更新精确owner",
        set(plan["to_update"]) == {24403}
        and plan["payloads"] == {}
        and not any(action[0] == "new" for action in plan["actions"]),
        detail=str(plan),
    )


def test_cross_type_alias_arbitration_different_entity_keeps_new_card():
    """different_entity 只移除冲突 alias，候选继续走新卡计划。"""

    canonical, name_map, aliases_by_draft = _cross_type_known()
    candidate = _cross_type_candidate()
    obs = {"新名字": [candidate], "已知实体新信息": [], "纯出场": []}
    calls = []
    pu._arbitrate_cross_type_aliases(
        obs, name_map, aliases_by_draft,
        "第527章原文：VI代生物机甲·伊琳娅丝现身。\n第528章原文：VI代生物机甲·伊琳娅丝继续行动。",
        _cross_type_arbitration_call(
            [_cross_type_decision(candidate, canonical, "different_entity")], calls
        ),
    )
    check(
        "cross-type-different-只移除冲突alias",
        candidate["别名"] == [] and "疑似别名指向" not in candidate,
    )
    plan = pu._plan_window_entities(
        8, 97, obs, name_map, {}, aliases_by_draft, {}, False, set(),
        {
            527: "VI代生物机甲·伊琳娅丝现身。",
            528: "VI代生物机甲·伊琳娅丝继续行动。",
        },
    )
    check(
        "cross-type-different-保持new卡",
        any(action[0] == "new" for action in plan["actions"])
        and len(plan["payloads"]) == 1
        and next(iter(plan["payloads"].values()))["别名"] == [],
        detail=str(plan),
    )
    check("cross-type-different-单次批量裁决", len(calls) == 1)

    exact_name = {
        "型": "item", "名称": "伊琳娅丝", "别名": [],
        "一句话摘要": "同名物件", "字段": {}, "出场章": [527, 528],
        "疑似别名指向": "伊琳娅丝",
    }
    exact_calls = []
    try:
        pu._arbitrate_cross_type_aliases(
            {"新名字": [exact_name], "已知实体新信息": [], "纯出场": []},
            name_map,
            aliases_by_draft,
            "第527章伊琳娅丝出现。",
            _cross_type_arbitration_call(
                [_cross_type_decision(exact_name, canonical, "different_entity")], exact_calls
            ),
        )
    except RuntimeError as exc:
        check(
            "cross-type-different-精确候选名称被占用失败关闭",
            "候选名称" in str(exc)
            and exact_calls
            and '"候选名称": "伊琳娅丝"' in exact_calls[0][0]
            and exact_name["疑似别名指向"] == "伊琳娅丝",
            detail=str(exact_calls),
        )
    else:
        check("cross-type-different-精确候选名称被占用失败关闭", False, detail="精确名称冲突被删除后继续")


def test_cross_type_different_entity_new_card_claims_only_remaining_aliases():
    """different_entity 应用阶段不再 claim 旧 alias，剩余 alias 仍经过唯一门。"""

    canonical, name_map, aliases_by_draft = _cross_type_known()
    candidate = _cross_type_candidate(["伊琳娅丝", "机甲独有"])
    obs = {"新名字": [candidate], "已知实体新信息": [], "纯出场": []}
    pu._arbitrate_cross_type_aliases(
        obs, name_map, aliases_by_draft,
        "第527章原文：VI代生物机甲·伊琳娅丝现身。\n第528章原文：VI代生物机甲·伊琳娅丝继续行动。",
        _cross_type_arbitration_call(
            [_cross_type_decision(candidate, canonical, "different_entity")], []
        ),
    )
    plan = pu._plan_window_entities(
        8, 97, obs, name_map, {}, aliases_by_draft, {}, False, set(),
        {
            527: "VI代生物机甲·伊琳娅丝现身。",
            528: "VI代生物机甲·伊琳娅丝继续行动。",
        },
    )
    claimed = []
    real_claim_alias = pu._claim_alias

    def guarded_claim_alias(conn, work_id, canonical_name, alias, win_no, verdict_by):
        claimed.append(alias)
        if alias == "伊琳娅丝":
            raise AssertionError("different_entity 不得再次 claim 冲突 alias")
        return real_claim_alias(conn, work_id, canonical_name, alias, win_no, verdict_by)

    with patch.object(pu, "_claim_alias", side_effect=guarded_claim_alias):
        pu.new_card(
            _RunConn({"payloads": {}}),
            8,
            97,
            plan["actions"][0][2],
            set(),
            chapter_texts={
                527: "VI代生物机甲·伊琳娅丝现身。",
                528: "VI代生物机甲·伊琳娅丝继续行动。",
            },
        )
    check("cross-type-different-应用不claim旧alias", claimed == ["机甲独有"], detail=str(claimed))


def test_cross_type_alias_arbitration_rejects_invalid_cases():
    """多 owner、非法 alias、非法裁决和缺项均必须失败关闭。"""

    canonical, name_map, aliases_by_draft = _cross_type_known()
    multi_owner_map = dict(name_map)
    multi_owner_map["机甲伊琳"] = (24404, "item", "另一张卡摘要")
    multi_owner_aliases = {**aliases_by_draft, 24404: {"机甲伊琳"}}
    calls = []
    try:
        pu._arbitrate_cross_type_aliases(
            {"新名字": [_cross_type_candidate(["伊琳娅丝", "机甲伊琳"])]},
            multi_owner_map, multi_owner_aliases, "当前窗原文",
            _cross_type_arbitration_call([], calls),
        )
    except RuntimeError as exc:
        check("cross-type-invalid-多个owner失败关闭", "多个 owner" in str(exc))
    else:
        check("cross-type-invalid-多个owner失败关闭", False, detail="未抛冲突")
    check("cross-type-invalid-多个owner不调用模型", calls == [])

    invalid_alias = _cross_type_candidate()
    invalid_alias["别名"] = "伊琳娅丝"
    try:
        pu._arbitrate_cross_type_aliases(
            {"新名字": [invalid_alias]}, name_map, aliases_by_draft,
            "当前窗原文", _cross_type_arbitration_call([], []),
        )
    except RuntimeError as exc:
        check("cross-type-invalid-alias失败关闭", "字符串列表" in str(exc))
    else:
        check("cross-type-invalid-alias失败关闭", False, detail="未抛冲突")

    candidate = _cross_type_candidate()
    calls = []
    try:
        pu._arbitrate_cross_type_aliases(
            {"新名字": [candidate]}, name_map, aliases_by_draft,
            "当前窗原文",
            _cross_type_arbitration_call(
                [_cross_type_decision(candidate, canonical, "uncertain")], calls
            ),
        )
    except RuntimeError as exc:
        check("cross-type-invalid-非法裁决失败关闭", "裁决" in str(exc))
    else:
        check("cross-type-invalid-非法裁决失败关闭", False, detail="未抛冲突")

    candidate = _cross_type_candidate()
    try:
        pu._arbitrate_cross_type_aliases(
            {"新名字": [candidate]}, name_map, aliases_by_draft,
            "当前窗原文", _cross_type_arbitration_call([], []),
        )
    except RuntimeError as exc:
        check("cross-type-invalid-裁决缺项失败关闭", "缺失" in str(exc))
    else:
        check("cross-type-invalid-裁决缺项失败关闭", False, detail="未抛冲突")


def test_cross_type_alias_arbitration_uncertain_fails_closed_without_planner():
    """uncertain 是合法保留裁决，但解析后必须稳定失败且不触碰 observation/planner。"""

    canonical, name_map, aliases_by_draft = _cross_type_known()
    candidate = _cross_type_candidate()
    obs = {"新名字": [candidate], "已知实体新信息": [], "纯出场": []}
    original_obs = deepcopy(obs)
    calls = []

    def uncertain_call(prompt, need_keys):
        calls.append((prompt, need_keys))
        if "same_entity|different_entity|uncertain" not in prompt:
            raise AssertionError("输出合同未允许 uncertain")
        return {
            "跨型别名裁决": [_cross_type_decision(candidate, canonical, "uncertain")],
        }, {}

    with patch.object(
        pu, "_plan_window_entities", side_effect=AssertionError("uncertain 不得进入 planner")
    ) as planner_mock:
        try:
            pu._arbitrate_cross_type_aliases(
                obs, name_map, aliases_by_draft, "当前窗原文", uncertain_call,
            )
        except RuntimeError as exc:
            check("cross-type-uncertain-稳定失败关闭", str(exc) == "跨型别名裁决不确定，拒绝继续")
        else:
            check("cross-type-uncertain-稳定失败关闭", False, detail="未抛稳定 RuntimeError")
    check("cross-type-uncertain-observation不变", obs == original_obs, detail=str(obs))
    check("cross-type-uncertain-不进入planner", planner_mock.call_count == 0)
    check("cross-type-uncertain-只调用一次裁决", len(calls) == 1)


def test_observe_prompt_known_entity_info_requires_type():
    """observe 输出合同必须要求已知实体新信息携带型。"""

    prompt = pu.observe_prompt(
        _fake_contracts(), "测试书", 527, 528, "当前窗原文", {}
    )
    check(
        "observe-known-info-型必填",
        '"已知实体新信息": [{"名称": "", "型": "", "观察点": ""}]' in prompt
        and '"已知实体新信息": [{"名称": "", "型": "", "观察点": "", "出场章"' not in prompt,
        detail=prompt,
    )
    check(
        "observe-known-info-观察点允许600字",
        "机械上限≤600字，超出按前600字截断" in prompt,
        detail=prompt,
    )


def test_observe_prompt_is_incremental_two_array_contract():
    """模型 observation 只承担新增/变化语义，不再生成纯出场数组。"""

    prompt = pu.observe_prompt(
        _fake_contracts(), "测试书", 527, 528, "当前窗原文", {
            "铁壳": (701, "item", "既有实体"),
        },
    )
    check("observe-incremental-模型keys只有两组",
          pu.OBSERVATION_MODEL_KEYS == ("新名字", "已知实体新信息"))
    check("observe-incremental-prompt声明两类变化",
          "只产出两类需要语义判断的变化结果" in prompt)
    check("observe-incremental-prompt不要求纯出场数组",
          '"纯出场": [' not in prompt and "不要输出「纯出场」数组" in prompt,
          detail=prompt)
    check("observe-incremental-prompt输出两数组",
          '"已知实体新信息": [{"名称": "", "型": "", "观察点": ""}]}'
          in prompt,
          detail=prompt)
    check(
        "observe-incremental-新名字要求正文原名",
        '"正文原名": ""' in prompt and "逐字出现" in prompt,
        detail=prompt,
    )


def test_model_observation_chapters_are_mechanical_and_verified():
    """模型不负责出场章；正文索引覆盖缺失/伪造值，并拒绝无正文命中。"""

    name_map = {
        "安若雪": (701, "character", "既有角色"),
        "雪姐": (701, "character", "既有角色"),
    }
    aliases_by_draft = {701: {"雪姐"}}
    chapter_texts = {
        527: "安若雪带着新物件抵达。",
        528: "雪姐检查新物件。",
    }
    obs = {
        "新名字": [{
            "型": "item", "名称": "新物件", "正文原名": "新物件", "别名": [],
            "一句话摘要": "刚出现", "字段": {}, "出场章": [999],
        }],
        "已知实体新信息": [{
            "名称": "安若雪", "型": "character", "观察点": "身份变化",
        }],
    }
    pu.populate_model_observation_chapters(
        obs, name_map, aliases_by_draft, chapter_texts,
    )
    check(
        "observation-chapters-新名字索引覆盖伪造章",
        obs["新名字"][0]["出场章"] == [527, 528],
        detail=str(obs),
    )
    check(
        "observation-chapters-known合并canonical与alias",
        obs["已知实体新信息"][0]["出场章"] == [527, 528],
        detail=str(obs),
    )

    paraphrased = {
        "新名字": [{
            "型": "item", "名称": "巨型四方金属魔方",
            "正文原名": "巨大的四方型金属魔方", "别名": [],
            "一句话摘要": "运输兵器", "字段": {},
        }],
        "已知实体新信息": [],
    }
    pu.populate_model_observation_chapters(
        paraphrased, {}, {}, {572: "三艘战列舰连接着一个巨大的四方型金属魔方。"},
    )
    check(
        "observation-chapters-规范名可由正文原名索引",
        paraphrased["新名字"][0]["出场章"] == [572],
        detail=str(paraphrased),
    )

    missing = {
        "新名字": [{
            "型": "item", "名称": "不存在的物件", "别名": [],
            "一句话摘要": "无证据", "字段": {},
        }],
        "已知实体新信息": [],
    }
    pu.populate_model_observation_chapters(
        missing, name_map, aliases_by_draft, chapter_texts,
    )
    check(
        "observation-chapters-无正文命中过滤候选",
        missing["新名字"] == [],
        detail=str(missing),
    )


def test_model_observation_type_alias_is_deterministically_normalized():
    """模型偶发输出英文 type 时只做结构键归一，不放宽其他额外键。"""

    obs = {
        "新名字": [],
        "已知实体新信息": [{
            "名称": "安若雪", "type": "character", "观察点": "身份变化",
        }],
    }
    pu.normalize_model_observation_aliases(obs)
    check(
        "observation-type别名归一",
        obs["已知实体新信息"][0] == {
            "名称": "安若雪", "型": "character", "观察点": "身份变化",
        },
        detail=str(obs),
    )

    invalid = {
        "新名字": [],
        "已知实体新信息": [{
            "名称": "安若雪", "type": "not-a-type", "观察点": "身份变化",
        }],
    }
    pu.normalize_model_observation_aliases(invalid)
    check(
        "observation-type非法值不静默放宽",
        "type" in invalid["已知实体新信息"][0]
        and "型" not in invalid["已知实体新信息"][0],
        detail=str(invalid),
    )

    misplaced = {
        "新名字": [{
            "型": "item", "名称": "新物件", "正文原名": "新物件",
            "字段": {}, "演变历程": [],
        }],
        "已知实体新信息": [],
    }
    pu.normalize_model_observation_aliases(misplaced)
    check(
        "observation-合同字段从顶层移入字段",
        misplaced["新名字"][0].get("字段") == {"演变历程": []}
        and "演变历程" not in misplaced["新名字"][0],
        detail=str(misplaced),
    )


def test_mechanical_presence_scans_canonical_and_alias_for_changed_draft():
    """presence 覆盖正名/合法 alias 的多章命中，并覆盖同时有 known-info 的变化卡。"""

    target = (701, "character", "既有角色")
    other = (702, "location", "既有地点")
    name_map = {
        "安若雪": target,
        "雪姐": target,
        "北港": other,
        "港口": other,
    }
    aliases_by_draft = {701: {"雪姐"}, 702: {"港口"}}
    chapter_texts = {
        527: "安若雪在北港停留。",
        528: "雪姐转身离开港口。",
        529: "北港恢复安静。",
    }
    onstage = pu.prescan(name_map, "\n".join(chapter_texts.values()))
    entries = pu.mechanical_presence(onstage, name_map, aliases_by_draft, chapter_texts)
    by_name = {item["名称"]: item["出场章"] for item in entries}
    check("mechanical-presence-正名与alias合并",
          by_name == {"安若雪": [527, 528], "北港": [527, 528, 529]},
          detail=str(entries))

    obs = {
        "新名字": [],
        "已知实体新信息": [
            {"名称": "安若雪", "型": "character", "观察点": "身份变化", "出场章": [527]},
        ],
    }
    pu.populate_mechanical_presence(obs, onstage, name_map, aliases_by_draft, chapter_texts)
    changed_presence = {item["名称"]: item["出场章"] for item in obs["纯出场"]}
    check("mechanical-presence-变化卡仍机械登记完整章节",
          changed_presence["安若雪"] == [527, 528], detail=str(obs))

    plan = pu._plan_window_entities(
        8, 97, obs, name_map, {}, aliases_by_draft, {}, False, set(), chapter_texts,
    )
    check("mechanical-presence-planner继续消费内部三数组",
          plan["appearances"][701] == {527, 528}, detail=str(plan))


def test_model_observation_pure_presence_is_rejected_before_repair():
    """生产两数组合同拒收模型自带纯出场，避免静默接收或进入 planner。"""

    calls = []
    invalid = {
        "新名字": [],
        "已知实体新信息": [],
        "纯出场": [{"名称": "安若雪", "出场章": [527]}],
    }
    try:
        pu._repair_entity_observation_structure(
            invalid,
            title="测试书",
            a=527,
            b=528,
            text="正文",
            onstage={},
            name_map={},
            call=lambda *args: calls.append(args),
            keys=pu.OBSERVATION_MODEL_KEYS,
        )
    except RuntimeError as exc:
        check("model-presence-额外数组失败关闭", "禁止包含纯出场" in str(exc))
    else:
        check("model-presence-额外数组失败关闭", False, detail="额外纯出场被放行")
    check("model-presence-额外数组不触发repair", calls == [], detail=str(calls))


def test_normalize_known_entity_observations():
    """known-info 先按 owner 型归一，未知名称仍要求合法模型型。"""

    name_map = {
        "安若雪": (24403, "character", "人物摘要"),
        "伊琳娅丝": (24404, "character", "角色旧摘要"),
        "风穹号": (24405, "item", "风穹号旧摘要"),
        "龙基之枪": (24406, "item", "龙基之枪旧摘要"),
    }
    long_observation = "  苏铭观察点：" + "长" * 700 + "  "
    obs = {
        "新名字": [],
        "已知实体新信息": [
            {"名称": "安若雪", "型": "character", "观察点": "状态变化", "出场章": [527]},
            {"名称": "伊琳娅丝", "型": "item", "观察点": "机甲化形", "出场章": [527, 528]},
            {"名称": "风穹号", "观察点": "航向改变", "出场章": [527]},
            {"名称": "龙基之枪", "型": "非法型", "观察点": "枪身展开", "出场章": [527, 528]},
            {"名称": "传奇级歼星舰·神隐号", "型": "item", "观察点": "跨区跃迁", "出场章": [527, 528, 529]},
            {"名称": "苏铭", "型": "character", "观察点": long_observation, "出场章": [527, 528]},
        ],
        "纯出场": [],
    }
    pu._validate_known_entity_observations(obs, name_map)
    check(
        "known-info-同型精确命中保留",
        obs["已知实体新信息"] == [
            {"名称": "安若雪", "型": "character", "观察点": "状态变化", "出场章": [527]},
            {"名称": "伊琳娅丝", "型": "character", "观察点": "机甲化形", "出场章": [527, 528]},
            {"名称": "风穹号", "观察点": "航向改变", "出场章": [527], "型": "item"},
            {"名称": "龙基之枪", "型": "item", "观察点": "枪身展开", "出场章": [527, 528]},
        ],
        detail=str(obs),
    )
    candidates = {item["名称"]: item for item in obs["新名字"]}
    check(
        "known-info-item命中character-owner直接规范化保留",
        "伊琳娅丝" not in candidates
        and obs["已知实体新信息"][1]["型"] == "character",
        detail=str(obs),
    )
    check(
        "known-info-已知缺型按owner归一保留",
        "风穹号" not in candidates
        and obs["已知实体新信息"][2]["型"] == "item",
        detail=str(obs),
    )
    check(
        "known-info-已知非法型按owner归一保留",
        "龙基之枪" not in candidates
        and obs["已知实体新信息"][3]["型"] == "item",
        detail=str(obs),
    )
    check(
        "known-info-未知移入新名字且观察不丢",
        candidates["传奇级歼星舰·神隐号"] == {
            "型": "item", "名称": "传奇级歼星舰·神隐号", "别名": [],
            "一句话摘要": "跨区跃迁", "字段": {}, "出场章": [527, 528, 529],
        },
        detail=str(candidates.get("传奇级歼星舰·神隐号")),
    )
    check(
        "known-info-长苏铭观察点截断不失败",
        candidates["苏铭"]["一句话摘要"] == long_observation.strip()[:600]
        and len(candidates["苏铭"]["一句话摘要"]) == 600,
        detail=str(candidates.get("苏铭")),
    )
    single_obs = {
        "新名字": [],
        "已知实体新信息": [{"名称": "单章未知", "型": "item", "观察点": "只出现一次", "出场章": [527]}],
        "纯出场": [],
    }
    pu._validate_known_entity_observations(single_obs, name_map)
    check(
        "known-info-未知单章走presence",
        pu._classify_new_name(single_obs["新名字"][0], name_map, {}) == ("presence", None),
        detail=str(single_obs),
    )

    invalid_cases = [
        ("缺名称", {"型": "item", "观察点": "状态变化", "出场章": [527]}),
        ("未知缺型", {"名称": "未知缺型", "观察点": "状态变化", "出场章": [527]}),
        ("缺观察点", {"名称": "安若雪", "型": "character", "出场章": [527]}),
        ("出场章非列表", {"名称": "安若雪", "型": "character", "观察点": "状态变化", "出场章": 527}),
        ("出场章含非法值", {"名称": "安若雪", "型": "character", "观察点": "状态变化", "出场章": ["bad"]}),
    ]
    for label, item in invalid_cases:
        try:
            pu._validate_known_entity_observations(
                {"新名字": [], "已知实体新信息": [item], "纯出场": []}, name_map
            )
        except RuntimeError as exc:
            check(f"known-info-{label}-结构失败关闭", True, detail=str(exc))
        else:
            check(f"known-info-{label}-结构失败关闭", False, detail="未抛结构冲突")


def _work8_observation_fixture():
    """构造 work8 窗110 已确认的两类观察结构错误。"""

    name_map = {
        "那样东西": (701, "item", "神秘物质"),
        "那东西": (701, "item", "神秘物质"),
    }
    obs = {
        "新名字": [],
        "已知实体新信息": [
            {"名称": "那东西", "观察点": "第570章明确指向该神秘物质", "出场章": 570},
            {"名称": "阿曼芬高级议员", "观察点": "以议员身份出现", "出场章": [570]},
        ],
        "纯出场": [],
    }
    return name_map, obs


def test_observation_structure_repair_work8_regressions():
    """先固定 scalar 出场章和未知 known-info 缺型的严格失败，再覆盖一次 repair 三路径。"""

    name_map, broken = _work8_observation_fixture()
    try:
        pu._normalize_known_entity_observations(deepcopy(broken), name_map)
    except RuntimeError as exc:
        check("work8-原始scalar出场章仍由严格列表校验拒绝", "必须是列表" in str(exc))
    else:
        check("work8-原始scalar出场章仍由严格列表校验拒绝", False, detail="未失败")

    missing_type = deepcopy(broken)
    missing_type["已知实体新信息"][0]["出场章"] = [570]
    try:
        pu._normalize_known_entity_observations(missing_type, name_map)
    except RuntimeError as exc:
        check("work8-未知known-info缺型仍失败关闭", "缺少有效型" in str(exc))
    else:
        check("work8-未知known-info缺型仍失败关闭", False, detail="未失败")

    repair_calls = []

    def successful_repair(prompt, need_keys):
        repair_calls.append((prompt, need_keys))
        return ({
            "新名字": [],
            "已知实体新信息": [
                {"名称": "那东西", "型": "character", "观察点": "第570章明确指向该神秘物质", "出场章": [570]},
                {"名称": "阿曼芬高级议员", "型": "character", "观察点": "以议员身份出现", "出场章": [570]},
            ],
            "纯出场": [],
        }, {})

    repaired = pu._repair_entity_observation_structure(
        deepcopy(broken),
        title="测试书",
        a=569,
        b=572,
        text="第570章那东西指向神秘物质；阿曼芬高级议员出现。",
        onstage={"那东西": (701, "item", "神秘物质")},
        name_map=name_map,
        call=successful_repair,
    )
    pu._normalize_known_entity_observations(repaired, name_map)
    check("work8-repair成功只调用一次", len(repair_calls) == 1)
    check(
        "work8-repair提示词只要求三数组结构修复",
        repair_calls[0][1] == pu.OBSERVATION_KEYS
        and "仅做结构修复" in repair_calls[0][0]
        and "那样东西" in repair_calls[0][0]
        and "character/location/item/faction/power_system/event" in repair_calls[0][0],
        detail=repair_calls[0][0],
    )
    repaired_known = {item["名称"]: item for item in repaired["已知实体新信息"]}
    check(
        "work8-repair-owner型仍由name_map归一",
        repaired_known["那东西"]["型"] == "item",
        detail=str(repaired_known["那东西"]),
    )
    check(
        "work8-repair未知known-info保留合法型与观察点",
        repaired["新名字"][-1]["名称"] == "阿曼芬高级议员"
        and repaired["新名字"][-1]["型"] == "character"
        and repaired["新名字"][-1]["一句话摘要"] == "以议员身份出现",
        detail=str(repaired),
    )

    illegal_calls = []

    def illegal_repair(prompt, need_keys):
        illegal_calls.append((prompt, need_keys))
        return ({
            "新名字": [],
            "已知实体新信息": [
                {"名称": "阿曼芬高级议员", "型": "alien", "观察点": "以议员身份出现", "出场章": 570},
            ],
            "纯出场": [],
        }, {})

    try:
        pu._repair_entity_observation_structure(
            deepcopy(broken),
            title="测试书",
            a=569,
            b=572,
            text="第570章正文",
            onstage={},
            name_map=name_map,
            call=illegal_repair,
        )
    except RuntimeError as exc:
        check("work8-repair仍非法失败关闭", "出场章必须是列表" in str(exc) or "缺少有效型" in str(exc))
    else:
        check("work8-repair仍非法失败关闭", False, detail="非法结果被放行")
    check("work8-repair非法结果不追加第二次结构调用", len(illegal_calls) == 1)

    no_repair_calls = []
    valid = {
        "新名字": [],
        "已知实体新信息": [
            {"名称": "那东西", "型": "item", "观察点": "第570章明确指向该神秘物质", "出场章": [570]},
        ],
        "纯出场": [],
    }
    unchanged = pu._repair_entity_observation_structure(
        valid,
        title="测试书",
        a=569,
        b=572,
        text="第570章正文",
        onstage={"那东西": (701, "item", "神秘物质")},
        name_map=name_map,
        call=lambda *args: no_repair_calls.append(args),
    )
    check("work8-无需repair不额外调用", unchanged is valid and no_repair_calls == [])


def test_observation_structure_repair_conservation_gates():
    """repair 只能修结构，三数组对象身份和首轮事实必须机械守恒。"""

    name_map = {"那东西": (701, "item", "神秘物质")}
    base = {
        "新名字": [
            {"型": "character", "名称": "阿曼芬高级议员", "别名": ["阿曼芬议员"],
             "一句话摘要": "以议员身份出现", "字段": {"阵营": "议会", "身份": "高级议员"},
             "出场章": [570], "疑似别名指向": "议会高级议员"},
        ],
        "已知实体新信息": [
            {"名称": "那东西", "观察点": "第570章明确指向该神秘物质", "出场章": 570},
        ],
        "纯出场": [
            {"名称": "路过的门", "出场章": [571]},
        ],
    }

    extra = deepcopy(base)
    extra["额外"] = []
    check(
        "work8-结构校验拒绝额外顶层键",
        any("额外" in error for error in pu._observation_structure_errors(
            extra, name_map, 569, 572
        )),
    )

    repair_calls = []

    def return_extra(prompt, need_keys):
        repair_calls.append((prompt, need_keys))
        repaired = deepcopy(base)
        repaired["已知实体新信息"][0]["出场章"] = [570]
        repaired["额外"] = []
        return repaired, {}

    try:
        pu._repair_entity_observation_structure(
            extra, title="测试书", a=569, b=572, text="第570章正文",
            onstage={"那东西": name_map["那东西"]}, name_map=name_map, call=return_extra,
        )
    except RuntimeError as exc:
        check("work8-repair输出额外顶层键失败关闭", "仍非法" in str(exc))
    else:
        check("work8-repair输出额外顶层键失败关闭", False, detail="额外键被放行")
    check("work8-repair额外顶层键只调用一次", len(repair_calls) == 1)

    def repair_without_name(prompt, need_keys):
        repaired = deepcopy(base)
        repaired["已知实体新信息"][0]["出场章"] = [570]
        repaired["已知实体新信息"] = []
        return repaired, {}

    try:
        pu._repair_entity_observation_structure(
            deepcopy(base), title="测试书", a=569, b=572, text="第570章正文",
            onstage={"那东西": name_map["那东西"]}, name_map=name_map, call=repair_without_name,
        )
    except RuntimeError as exc:
        check("work8-repair删除对象失败关闭", "守恒" in str(exc))
    else:
        check("work8-repair删除对象失败关闭", False, detail="删除对象后仍通过")

    def repair_with_renamed_name(prompt, need_keys):
        repaired = deepcopy(base)
        repaired["已知实体新信息"][0]["出场章"] = [570]
        repaired["纯出场"][0]["名称"] = "换了名字的门"
        return repaired, {}

    try:
        pu._repair_entity_observation_structure(
            deepcopy(base), title="测试书", a=569, b=572, text="第570章正文",
            onstage={"那东西": name_map["那东西"]}, name_map=name_map,
            call=repair_with_renamed_name,
        )
    except RuntimeError as exc:
        check("work8-repair改名对象失败关闭", "名称多重集合" in str(exc))
    else:
        check("work8-repair改名对象失败关闭", False, detail="改名后仍通过")

    def repair_with_rewritten_fact(prompt, need_keys):
        repaired = deepcopy(base)
        repaired["已知实体新信息"][0]["出场章"] = [570]
        repaired["新名字"][0]["一句话摘要"] = "被改写的摘要"
        repaired["已知实体新信息"][0]["观察点"] = "被改写的观察点"
        return repaired, {}

    try:
        pu._repair_entity_observation_structure(
            deepcopy(base), title="测试书", a=569, b=572, text="第570章正文",
            onstage={"那东西": name_map["那东西"]}, name_map=name_map,
            call=repair_with_rewritten_fact,
        )
    except RuntimeError as exc:
        check("work8-repair改写观察事实失败关闭", "原样保留" in str(exc))
    else:
        check("work8-repair改写观察事实失败关闭", False, detail="事实改写后仍通过")

    def repair_with_deleted_chapter(prompt, need_keys):
        repaired = deepcopy(base)
        repaired["纯出场"][0]["出场章"] = []
        return repaired, {}

    try:
        pu._repair_entity_observation_structure(
            deepcopy(base), title="测试书", a=569, b=572, text="第570章正文",
            onstage={"那东西": name_map["那东西"]}, name_map=name_map,
            call=repair_with_deleted_chapter,
        )
    except RuntimeError as exc:
        check("work8-repair删除合法出场章失败关闭", "出场章" in str(exc))
    else:
        check("work8-repair删除合法出场章失败关闭", False, detail="删除章号后仍通过")

    def repair_with_numeric_normalization(prompt, need_keys):
        repaired = deepcopy(base)
        repaired["已知实体新信息"][0]["出场章"] = ["570"]
        return repaired, {}

    normalized = pu._repair_entity_observation_structure(
        deepcopy(base), title="测试书", a=569, b=572, text="第570章正文",
        onstage={"那东西": name_map["那东西"]}, name_map=name_map,
        call=repair_with_numeric_normalization,
    )
    check(
        "work8-repair数字字符串章号归一化允许",
        normalized["已知实体新信息"][0]["出场章"] == ["570"],
    )

    moved = deepcopy(base)
    moved["已知实体新信息"][0]["出场章"] = 570

    def repair_known_to_new_name(prompt, need_keys):
        repaired = deepcopy(moved)
        repaired["已知实体新信息"] = []
        repaired["新名字"].append({
            "型": "item", "名称": "那东西", "别名": [],
            "一句话摘要": "第570章明确指向该神秘物质", "字段": {}, "出场章": [570],
        })
        return repaired, {}

    moved_result = pu._repair_entity_observation_structure(
        moved, title="测试书", a=569, b=572, text="第570章正文",
        onstage={"那东西": name_map["那东西"]}, name_map=name_map,
        call=repair_known_to_new_name,
    )
    check(
        "work8-repair-known-info迁移到新名字保留原观察点",
        moved_result["新名字"][-1]["一句话摘要"] == "第570章明确指向该神秘物质",
    )

    def assert_repair_fact_drift_rejected(label, mutate, expected_text="守恒"):
        def drifted_repair(prompt, need_keys):
            repaired = deepcopy(base)
            repaired["已知实体新信息"][0]["出场章"] = [570]
            mutate(repaired)
            return repaired, {}

        try:
            pu._repair_entity_observation_structure(
                deepcopy(base), title="测试书", a=569, b=572, text="第570章正文",
                onstage={"那东西": name_map["那东西"]}, name_map=name_map,
                call=drifted_repair,
            )
        except RuntimeError as exc:
            check(f"work8-repair-{label}-失败关闭", expected_text in str(exc), detail=str(exc))
        else:
            check(f"work8-repair-{label}-失败关闭", False, detail="事实漂移后仍通过")

    assert_repair_fact_drift_rejected(
        "改已有型",
        lambda repaired: repaired["新名字"][0].update({"型": "item"}),
    )
    assert_repair_fact_drift_rejected(
        "改已有别名",
        lambda repaired: repaired["新名字"][0].update({"别名": ["被改写的别名"]}),
    )
    assert_repair_fact_drift_rejected(
        "改已有字段",
        lambda repaired: repaired["新名字"][0]["字段"].update({"阵营": "被改写的阵营"}),
    )
    assert_repair_fact_drift_rejected(
        "改已有疑似别名指向",
        lambda repaired: repaired["新名字"][0].update({"疑似别名指向": "被改写的指向"}),
    )
    assert_repair_fact_drift_rejected(
        "注入额外事实键",
        lambda repaired: repaired["新名字"][0].update({"新增事实": "repair编造"}),
        expected_text="额外",
    )
    assert_repair_fact_drift_rejected(
        "删除已有事实键",
        lambda repaired: repaired["新名字"][0].pop("字段"),
    )

    missing_type = deepcopy(base)
    missing_type["新名字"][0].pop("型")

    def repair_adds_legal_type(prompt, need_keys):
        repaired = deepcopy(missing_type)
        repaired["新名字"][0]["型"] = "character"
        repaired["已知实体新信息"][0]["出场章"] = [570]
        return repaired, {}

    missing_type_result = pu._repair_entity_observation_structure(
        missing_type, title="测试书", a=569, b=572, text="第570章正文",
        onstage={"那东西": name_map["那东西"]}, name_map=name_map,
        call=repair_adds_legal_type,
    )
    check(
        "work8-repair缺型补合法型允许",
        missing_type_result["新名字"][0]["型"] == "character",
    )

    moved_presence = deepcopy(base)

    def repair_move_presence_to_new(prompt, need_keys):
        repaired = deepcopy(moved_presence)
        repaired["已知实体新信息"][0]["出场章"] = [570]
        presence = repaired["纯出场"].pop()
        repaired["新名字"].append({
            "型": "item", "名称": presence["名称"], "出场章": presence["出场章"],
        })
        return repaired, {}

    moved_presence_result = pu._repair_entity_observation_structure(
        moved_presence, title="测试书", a=569, b=572, text="第570章正文",
        onstage={"那东西": name_map["那东西"]}, name_map=name_map,
        call=repair_move_presence_to_new,
    )
    check(
        "work8-repair纯出场跨数组移动并补缺型允许",
        moved_presence_result["新名字"][-1]["名称"] == "路过的门"
        and moved_presence_result["新名字"][-1]["型"] == "item"
        and moved_presence_result["纯出场"] == [],
    )

    no_call = []
    non_dict = deepcopy(base)
    non_dict["新名字"].append("不是对象")
    try:
        pu._repair_entity_observation_structure(
            non_dict, title="测试书", a=569, b=572, text="第570章正文",
            onstage={}, name_map=name_map,
            call=lambda *args: no_call.append(args),
        )
    except RuntimeError as exc:
        check("work8-repair首轮非字典项先失败关闭", "身份" in str(exc))
    else:
        check("work8-repair首轮非字典项先失败关闭", False, detail="非字典项送入repair")
    check("work8-repair首轮非字典项不调用模型", no_call == [])

    invalid_name = deepcopy(base)
    invalid_name["纯出场"][0]["名称"] = "   "
    try:
        pu._repair_entity_observation_structure(
            invalid_name, title="测试书", a=569, b=572, text="第570章正文",
            onstage={}, name_map=name_map,
            call=lambda *args: no_call.append(args),
        )
    except RuntimeError as exc:
        check("work8-repair首轮无有效名称先失败关闭", "身份" in str(exc))
    else:
        check("work8-repair首轮无有效名称先失败关闭", False, detail="无名称项送入repair")
    check("work8-repair首轮无有效名称不调用模型", no_call == [])


def test_run_repair_then_cross_type_arbitration_then_planner():
    """repair 修改候选型后，后置跨型裁决必须 same 并继续进入 planner。"""

    canonical = "蚀日要塞"
    target = (24403, "item", "既有要塞摘要")
    name_map = {canonical: target}
    aliases_by_draft = {24403: set()}
    candidate = {
        "型": "item", "名称": canonical, "别名": [],
        "一句话摘要": "要塞现身", "字段": {}, "出场章": [527, 528],
    }
    state = {"windows": [(97, 527, 528)], "window_status": "pending"}
    events = []
    observed = {}
    model_calls = []
    observation_calls = 0
    real_normalize = pu._normalize_known_entity_observations
    real_filter = pu._filter_entity_chapters
    real_arbitrate = pu._arbitrate_cross_type_aliases

    def fake_m3_json(prompt, model, need_keys, system=None):
        nonlocal observation_calls
        model_calls.append(need_keys)
        if need_keys == pu.OBSERVATION_MODEL_KEYS:
            observation_calls += 1
            if observation_calls == 1:
                return ({
                    "新名字": [deepcopy(candidate), "需要结构修复的非字典项"],
                    "已知实体新信息": [],
                }, {})
            events.append("structure-repair")
            return ({"新名字": [deepcopy(candidate)], "已知实体新信息": []}, {})
        if need_keys == ("跨型别名裁决",):
            return ({"跨型别名裁决": [{
                "候选名称": canonical,
                "候选类型": "location",
                "已有规范名": canonical,
                "已有类型": "item",
                "冲突别名": [canonical],
                "候选出场章": [527, 528],
                "裁决": "same_entity",
            }]}, {})
        raise AssertionError(f"不应出现的完整链路模型调用：{need_keys}")

    def normalize_and_record(obs, current_name_map):
        events.append("normalize")
        observed["normalize_types"] = [type(item).__name__ for item in obs["新名字"]]
        return real_normalize(obs, current_name_map)

    def filter_and_record(*args, **kwargs):
        events.append("chapter-filter")
        return real_filter(*args, **kwargs)

    def fake_repair(obs, **kwargs):
        events.append("repair")
        obs["新名字"][0]["型"] = "location"
        return 1

    def arbitrate_and_record(*args, **kwargs):
        events.append("arbitrate")
        return real_arbitrate(*args, **kwargs)

    def planner_and_record(work_id, win_no, obs, *args, **kwargs):
        events.append("planner")
        observed["planner_type"] = obs["新名字"][0]["型"]
        observed["planner_hint"] = obs["新名字"][0].get("疑似别名指向")
        return {"actions": [], "payloads": {}, "to_update": {}, "appearances": {},
                "aliases": {}, "names": {}}

    with patch.object(pu.psycopg, "connect", side_effect=lambda *_: _RunConn(state)), \
            patch.object(pu, "_recover_processing_windows", return_value=None), \
            patch.object(pu, "load_entity_contracts", return_value=_fake_contracts()), \
            patch.object(pu, "load_window_material", return_value=(
                "第527章蚀日要塞出现。第528章蚀日要塞继续运行。",
                {527: "蚀日要塞出现。", 528: "蚀日要塞继续运行。"},
            )), \
            patch.object(pu, "load_known", return_value=(
                name_map, {}, aliases_by_draft, {24403: 0},
            )), \
            patch.object(pu, "m3_json", side_effect=fake_m3_json), \
            patch.object(pu, "_normalize_known_entity_observations", side_effect=normalize_and_record), \
            patch.object(pu, "_filter_entity_chapters", side_effect=filter_and_record), \
            patch.object(pu, "repair_missing_milestone_evidence", side_effect=fake_repair), \
            patch.object(pu, "_arbitrate_cross_type_aliases", side_effect=arbitrate_and_record), \
            patch.object(pu, "_plan_window_entities", side_effect=planner_and_record), \
            patch.object(pu, "_compute_entity_updates", return_value=([], {})), \
            patch.object(pu, "_apply_entity_stage", return_value=({}, {}, {}, set(), "entity-state")), \
            patch.object(pu, "_read_relation_snapshot", return_value=([], [], {})), \
            patch.object(pu, "_apply_relation_stage", return_value=(set(), "relation-state")), \
            patch.object(pu, "_finalize_window", return_value=0):
        pu._run(
            work_id=8, max_windows=0, max_calls=0, model="MiniMax-M3",
            redo_window=0, semantic_on=False, validate_window_input=False,
        )

    check(
        "run-结构repair后再normalize",
        observed["normalize_types"] == ["dict"],
        detail=str(observed),
    )
    check(
        "run-结构repair后置repair裁决再进planner",
        events == [
            "chapter-filter", "structure-repair", "chapter-filter", "chapter-filter",
            "normalize", "chapter-filter", "chapter-filter", "repair", "arbitrate", "planner",
        ],
        detail=str(events),
    )
    check(
        "run-repair跨型same后planner看到owner型",
        observed["planner_type"] == "item"
        and observed["planner_hint"] == canonical,
        detail=str(observed),
    )
    check(
        "run-观察与后置裁决模型调用顺序",
        model_calls == [
            pu.OBSERVATION_MODEL_KEYS,
            pu.OBSERVATION_MODEL_KEYS,
            ("跨型别名裁决",),
        ],
        detail=str(model_calls),
    )


def test_resolve_canonical_name():
    """name_map 的 alias 键命中时，落库正名仍必须取同 draft 的真实活跃卡名称。"""

    target = (701, "item", "一代机械外骨骼")
    name_map = {
        "一代机械外骨骼·铁壳": target,
        "铁壳": target,
        "机械铁壳": target,
    }
    aliases_by_draft = {701: {"铁壳", "机械铁壳"}}
    check(
        "canonical-alias-token解析为真实卡名",
        pu._resolve_canonical_name(name_map, aliases_by_draft, "铁壳") == "一代机械外骨骼·铁壳",
    )
    check(
        "canonical-substring命中alias仍解析为真实卡名",
        pu._resolve_canonical_name(name_map, aliases_by_draft, "机械铁壳") == "一代机械外骨骼·铁壳",
    )
    try:
        pu._resolve_canonical_name({"铁壳": target}, {701: {"铁壳"}}, "铁壳")
    except RuntimeError as exc:
        check("canonical-找不到真实卡名失败关闭", "真实规范名" in str(exc))
    else:
        check("canonical-找不到真实卡名失败关闭", False, detail="未抛 RuntimeError")


# ── ② 登场兜底 _debut_milestone（洞②机械那一保险）──
def test_debut_milestone():
    # 已有登场 → 原样返回，不重复补
    has = [{"章": 10, "台阶": "训练机登场", "周期": "登场"}, {"章": 50, "台阶": "进化", "周期": "成长"}]
    out = pu._debut_milestone(has, "训练机", "item", [], [8], 3, {8: "训练机进入机库。"})
    check("debut-已有登场不补", len(out) == 2 and out[0]["台阶"] == "训练机登场")

    # 无登场 + 有正文实证出场章 → 只补中性名称/型描述，章=min(出场章)，_win 盖窗号
    no_debut = [{"章": 50, "台阶": "V代编队", "周期": "成长"}]
    out = pu._debut_milestone(
        no_debut,
        "4级训练机",
        "item",
        [],
        [15, 3, 8],
        7,
        {3: "4级训练机被推入测试场。", 8: "4级训练机完成返航。", 15: "4级训练机封存。"},
    )
    check("debut-无登场则补一条",
          len(out) == 2 and out[0]["周期"] == "登场" and out[0]["章"] == 3 and out[0]["_win"] == 7)
    check("debut-台阶仅用中性名称与型", out[0]["台阶"] == "物件「4级训练机」登场")
    check("debut-进化台阶仍在尾部", out[1]["台阶"] == "V代编队")

    # 无正文实证出场章 → 不补登场里程碑（真实性优先，不能生成无证据台阶）
    out = pu._debut_milestone([], "无章实体", "item", [], [], 5, {})
    check("debut-无真实章不补", out == [])

    # milestones=None 也当空处理
    out = pu._debut_milestone(None, "空列表实体", "item", [], [2], 5, {2: "空列表实体出现。"})
    check("debut-None当空补登场", len(out) == 1 and out[0]["周期"] == "登场" and out[0]["章"] == 2)

    # 反例：实体第57章首现，但当前窗后续章材料含第59/60章事实；兜底绝不能把未来事实倒灌到57章。
    future_fact = "第59章升级二代装甲，第60章击毁母舰"
    out = pu._debut_milestone(
        [],
        "一代机械外骨骼·铁壳",
        "item",
        ["铁壳"],
        [57, 59, 60],
        8,
        {
            57: "一代机械外骨骼·铁壳第一次走出维修架。",
            59: "铁壳升级成二代装甲。",
            60: "铁壳击毁母舰。",
        },
    )
    check("debut-57章台阶不含59与60章事实",
          out[0]["章"] == 57 and future_fact not in out[0]["台阶"]
          and "升级" not in out[0]["台阶"] and "母舰" not in out[0]["台阶"])
    alias_only = pu._debut_milestone(
        [],
        "二代机械外骨骼·铁壳",
        "item",
        ["铁壳"],
        [57],
        8,
        {57: "铁壳第一次走出维修架。"},
    )
    check("debut-规范名未出现时只用首章真实别名", alias_only[0]["台阶"] == "物件「铁壳」登场")
    ambiguous = pu._debut_milestone(
        [],
        "二代机械外骨骼·铁壳",
        "item",
        ["铁壳", "老铁"],
        [57],
        8,
        {57: "铁壳又被队员叫作老铁。"},
    )
    check("debut-多名称命中退化为仅类型", ambiguous[0]["台阶"] == "物件登场")
    generic_only = pu._debut_milestone(
        [], "未来规范名", "character", ["队长"], [57], 8, {57: "队长首次出现。"}
    )
    check("debut-通用称谓不得进入台阶", generic_only[0]["台阶"] == "人物登场")
    check("debut-缺少首章正文宁可不补",
          pu._debut_milestone([], "铁壳", "item", [], [57], 8, {59: "铁壳升级。"}) == [])


# ── ③ 里程碑台阶守卫 _clean_milestone（洞③：超 80 字截断）──
def test_clean_milestone_guard():
    # 对象入参：台阶 90 字 → 截到 80
    m = pu._clean_milestone({"章": 100, "台阶": "阶" * 90, "周期": "成长"}, 1)
    check("clean-对象台阶截至80", m is not None and len(m["台阶"]) == 80 and m["台阶"] == "阶" * 80)
    check("clean-对象保真章周期", m["章"] == 100 and m["周期"] == "成长" and m["_win"] == 1)
    # 字符串入参：整串当台阶，同样受守卫
    m = pu._clean_milestone("步" * 120, 2)
    check("clean-字符串台阶截至80", m is not None and len(m["台阶"]) == 80)
    # 正常短台阶不动
    m = pu._clean_milestone({"章": 5, "台阶": "短台阶", "周期": "高光"}, 3)
    check("clean-短台阶不截", m["台阶"] == "短台阶" and len(m["台阶"]) == 3)
    # 截断顺序回归（主代理核验修复）：跑飞长文缺章缺周期时，藏在 80 字外的内嵌章号/周期关键词
    # 必须先用**全文**抽取/推断、抽完再截——若先截后抽，兜底线索被截丢（章=None、周期误判成长）。
    m = pu._clean_milestone({"台阶": "阶" * 85 + "突破至V代（见第432章）"}, 4)
    check("clean-截断前先抽全文章号", m is not None and m["章"] == 432)
    check("clean-截断前先推全文周期", m["周期"] == "高光")
    check("clean-抽后仍截至80", len(m["台阶"]) == 80)

    # 新抽取里程碑必须用短原文证据把章号绑定到对应正文；证据只用于校验，不写入卡体。
    chapter_texts = {
        488: "安若雪率领亲卫继续突进，环星防御火力全面展开。",
        489: "安若雪与加特朗激战，同步率飙至100%，击碎能量屏障。",
    }
    verified = pu._clean_milestone(
        {
            "章": 489,
            "台阶": "同步率飙至100%击碎加特朗屏障",
            "周期": "高光",
            "证据": "同步率飙至100%，击碎能量屏障",
        },
        84,
        chapter_texts=chapter_texts,
        require_evidence=True,
    )
    check(
        "clean-证据绑定正确章",
        verified is not None and verified["章"] == 489 and "证据" not in verified,
    )
    wrong_chapter = pu._clean_milestone(
        {
            "章": 488,
            "台阶": "同步率飙至100%击碎加特朗屏障",
            "周期": "高光",
            "证据": "同步率飙至100%，击碎能量屏障",
        },
        84,
        chapter_texts=chapter_texts,
        require_evidence=True,
    )
    check("clean-错章证据拒收", wrong_chapter is None)
    missing_evidence = pu._clean_milestone(
        {"章": 489, "台阶": "同步率飙至100%", "周期": "高光"},
        84,
        chapter_texts=chapter_texts,
        require_evidence=True,
    )
    check("clean-缺证据拒收", missing_evidence is None)
    short_evidence = {"章": 488, "台阶": "继续突进", "周期": "成长", "证据": "安若雪率领亲卫"}
    check(
        "clean-不足8字证据拒收",
        not pu._milestone_evidence_matches(short_evidence, chapter_texts),
    )
    long_quote = "证" * 31
    long_evidence = {"章": 489, "台阶": "长证据", "周期": "成长", "证据": long_quote}
    check(
        "clean-超过30字证据拒收",
        not pu._milestone_evidence_matches(long_evidence, {489: f"前缀{long_quote}后缀"}),
    )


# ── ④ 归并材料 _merge_material（洞②：演变历程完整不截、其余字段截断）──
def test_merge_material():
    milestones = [{"章": i, "台阶": f"台阶第{i}条", "周期": "成长"} for i in range(1, 21)]
    ent = {"型": "item", "名称": "影杀者", "一句话摘要": "IV代机甲",
           "字段": {"演变历程": milestones, "能力与限制": "填充" * 500}}  # 其余字段 1000 字
    mat = pu._merge_material(ent, rest_limit=600)
    # 演变历程每条台阶完整保留（尤其末条不被截断丢失）
    check("material-演变历程首条在", "台阶第1条" in mat)
    check("material-演变历程末条在", "台阶第20条" in mat)
    check("material-摘要在", "IV代机甲" in mat and "影杀者" in mat)
    # 其余字段被截断（1000 字巨型字段不应整段进材料）
    check("material-其余字段被截断", ("填充" * 500) not in mat)
    # 无字段时不崩
    check("material-空字段不崩", pu._merge_material({"型": "character", "名称": "甲", "一句话摘要": "s"}))


# ── ⑤ build_embed_text 型键修正（洞①配套；改在 embed skill 本体）──
def test_build_embed_text_type_fix():
    # 升格卡用 type 键存型：修正后应认出（修正前会产「【】名称…」丢型）
    txt = embed_drafts.build_embed_text({"type": "power_system", "名称": "生物机甲",
                                         "一句话摘要": "体系", "字段": {"境界阶梯": "一代<二代"}})
    check("embed-type键认出型", txt.startswith("【power_system】生物机甲"))
    check("embed-非空型不再丢", not txt.startswith("【】"))
    # 型 键仍优先（既有行为不动）
    check("embed-型键优先",
          embed_drafts.build_embed_text({"型": "item", "名称": "剑"}).startswith("【item】"))
    # target_type 回退仍在
    check("embed-target_type回退",
          embed_drafts.build_embed_text({"target_type": "faction", "名称": "军团"}).startswith("【faction】"))
    # 三者优先级：型 > type > target_type
    check("embed-型优先于type与target_type",
          embed_drafts.build_embed_text({"型": "A", "type": "B", "target_type": "C",
                                         "名称": "x"}).startswith("【A】"))


def _fake_contracts():
    """离线假合同（覆盖六实体型 + 关系型），供三个提示词构造器渲染，不连库。"""
    c = {}
    for t in pu.ENTITY_TYPES + (pu.RELATION_TYPE,):
        c[t] = {"中文名": t, "判据": f"{t}判据",
                "字段": [{"key": "演变历程", "说明": "里程碑数组"},
                        {"key": "一句话摘要", "说明": "摘要"}]}
    return c


# ── ⑦ 出场章归一化 _int_chaps（窗113 实证 bug：int/str 混排炸 + 并集虚增计数）──
def test_int_chaps():
    # 核心复现：模型给字符串章号 "508" 与库内 int 507 混合，旧代码 sorted 直接炸
    mixed = [507, "508", 509]
    got = pu._int_chaps(mixed)
    check("intchaps-混类型归一为int", got == {507, 508, 509})
    check("intchaps-归一后可安全排序", sorted(got) == [507, 508, 509])
    # 并集不再虚增：{"508"} 与 {508} 旧代码算 2 个（误判跨章立卡），归一后算 1 个
    union = pu._int_chaps(["508"]) | {508}
    check("intchaps-并集不虚增计数", union == {508} and len(union) == 1)
    # 脏值/区间/bool 丢弃（出场章只应是单章整数）
    check("intchaps-丢非数字与区间", pu._int_chaps(["420-423", "abc", None, 12]) == {12})
    check("intchaps-排除bool", pu._int_chaps([True, False, 5]) == {5})
    check("intchaps-空输入", pu._int_chaps([]) == set() and pu._int_chaps(None) == set())


class _CardResult:
    """为立卡与归并离线测试提供最小查询结果对象。"""

    def __init__(self, row=None, rows=None):
        self.row = row
        self.rows = rows or []

    def fetchone(self):
        """返回预置的单行结果。"""

        return self.row

    def fetchall(self):
        """返回预置的多行结果。"""

        return self.rows


class _CardConn:
    """只模拟卡片写入所需 SQL，并保留最终 payload 供机械断言。"""

    def __init__(self, payload=None):
        self.payload = payload
        self.audits = []
        self.revision = 1

    def execute(self, query, params):
        """按 SQL 用途返回最小结果，或捕获立卡、更新后的 payload。"""

        normalized = " ".join(query.split())
        if normalized.startswith(
                "SELECT draft_payload, status, revision, source_type FROM muse_knowledge_draft"):
            return _CardResult((self.payload, "pending", self.revision, pu.SOURCE_TYPE))
        if normalized.startswith("SELECT draft_payload"):
            return _CardResult((self.payload,))
        if normalized.startswith("SELECT watermark_window"):
            return _CardResult((0,))
        if normalized.startswith("SELECT a.draft_id, a.field_name, a.old_value"):
            rows = [(did, field_name, old_value)
                    for did, _, field_name, old_value in reversed(self.audits)]
            return _CardResult(rows=rows)
        if normalized.startswith("SELECT id, draft_payload FROM muse_knowledge_draft"):
            return _CardResult(rows=[(101, self.payload)])
        if "INSERT INTO muse_knowledge_draft" in query:
            self.payload = json.loads(params[1])
            return _CardResult((101, self.revision)
                               if "RETURNING id, revision" in normalized else (101,))
        if normalized.startswith("INSERT INTO example_upgrade_alias"):
            return _CardResult((params[1],))
        if "INSERT INTO example_upgrade_audit" in query and len(params) >= 4 \
                and params[2] == "顶层:出场章":
            self.audits.append((params[0], params[1], params[2], params[3]))
        if normalized.startswith("DELETE FROM example_upgrade_audit"):
            self.audits = []
        if "UPDATE muse_knowledge_draft SET draft_payload" in query:
            self.payload = json.loads(params[0])
            if "revision=revision+1" in normalized:
                self.revision += 1
                return _CardResult((self.revision,))
        return _CardResult()

    def commit(self):
        """模拟事务提交；离线测试中的状态已在内存立即生效。"""


class _RelationConn:
    """关系卡持久化与 undo 的内存数据库，覆盖 payload、审计、水位和软删。"""

    def __init__(self, drafts=None, states=None):
        self.drafts = {
            did: {
                "payload": deepcopy(payload),
                "deleted": False,
                "status": "pending",
                "source_type": pu.SOURCE_TYPE,
                "revision": 0,
                "updater": "before",
            }
            for did, payload in (drafts or {}).items()
        }
        self.states = dict(states or {})
        self.audits = []
        self.next_draft_id = max(self.drafts, default=700) + 1
        self.before_lock = None

    def execute(self, query, params=()):
        """按生产 SQL 语义更新内存状态，测试不建立任何真实连接。"""

        normalized = " ".join(query.split())
        if normalized.startswith(
                "SELECT draft_payload, status, revision, source_type FROM muse_knowledge_draft"):
            if "FOR UPDATE" in normalized and self.before_lock:
                self.before_lock(params[0])
            row = self.drafts.get(params[0])
            if not row or row["deleted"]:
                return _CardResult(None)
            return _CardResult(
                (row["payload"], row["status"], row["revision"], row["source_type"])
            )
        if normalized.startswith(
                "SELECT work_id, draft_payload, status, revision, source_type, deleted"):
            row = self.drafts.get(params[0])
            if not row:
                return _CardResult(None)
            return _CardResult((
                8, row["payload"], row["status"], row["revision"],
                row["source_type"], row["deleted"],
            ))
        if normalized.startswith("SELECT watermark_window FROM example_upgrade_card_state"):
            watermark = self.states.get(params[0])
            return _CardResult((watermark,) if watermark is not None else None)
        if normalized.startswith("SELECT a.draft_id, a.field_name, a.old_value"):
            window_no = params[1]
            rows = [
                (item["draft_id"], item["field_name"], item["old_value"])
                for item in reversed(self.audits)
                if item["window_no"] == window_no
            ]
            return _CardResult(rows=rows)
        if normalized.startswith("SELECT draft_payload FROM muse_knowledge_draft WHERE id=%s"):
            return _CardResult((self.drafts[params[0]]["payload"],))
        if normalized.startswith("SELECT id, draft_payload FROM muse_knowledge_draft"):
            return _CardResult(rows=[
                (did, row["payload"])
                for did, row in self.drafts.items()
                if not row["deleted"]
            ])
        if normalized.startswith("INSERT INTO example_upgrade_audit"):
            self.audits.append({
                "draft_id": params[0],
                "window_no": params[1],
                "field_name": params[2],
                "old_value": params[3],
                "new_value": params[4],
            })
            return _CardResult()
        if normalized.startswith("INSERT INTO muse_knowledge_draft"):
            did = self.next_draft_id
            self.next_draft_id += 1
            self.drafts[did] = {
                "payload": json.loads(params[1]),
                "deleted": False,
                "status": "pending",
                "source_type": pu.SOURCE_TYPE,
                "revision": 0,
                "updater": "upgrade",
            }
            return _CardResult((did,))
        if normalized.startswith("UPDATE muse_knowledge_draft SET draft_payload=%s"):
            row = self.drafts[params[1]]
            row["payload"] = json.loads(params[0])
            if "revision=revision+1" in normalized:
                row["revision"] += 1
                if "updater='upgrade-undo'" in normalized:
                    row["updater"] = "upgrade-undo"
                return _CardResult((row["revision"],))
            return _CardResult()
        if normalized.startswith("UPDATE muse_knowledge_draft SET deleted=TRUE"):
            row = self.drafts[params[0]]
            row["deleted"] = True
            if "revision=revision+1" in normalized:
                row["revision"] += 1
            if "updater='upgrade-undo'" in normalized:
                row["updater"] = "upgrade-undo"
            return _CardResult()
        if normalized.startswith("INSERT INTO example_upgrade_card_state"):
            did, _, watermark = params[:3]
            if "SET watermark_window=EXCLUDED.watermark_window" in normalized:
                self.states[did] = watermark
            else:
                self.states[did] = max(self.states.get(did, watermark), watermark)
            return _CardResult()
        if normalized.startswith("UPDATE example_upgrade_card_state SET watermark_window=%s"):
            self.states[params[1]] = params[0]
            return _CardResult()
        if normalized.startswith("DELETE FROM example_upgrade_card_state"):
            self.states.pop(params[0], None)
            return _CardResult()
        if normalized.startswith("DELETE FROM example_upgrade_audit"):
            window_no = params[1]
            self.audits = [item for item in self.audits if item["window_no"] != window_no]
            return _CardResult()
        return _CardResult(rows=[])


def test_relation_update_and_new_card_undo_boundaries():
    """关系更新按真实落点审计并可完整 undo；本窗新关系软删且清除 state。"""

    old_payload = {
        "type": pu.RELATION_TYPE,
        "名称": "甲×乙",
        "甲方draft": 11,
        "乙方draft": 12,
        "关系类型": "盟友",
        "字段": {"当前状态": "合作", "演变轨迹": ["[窗3] 初次合作"]},
        "来源": "升格@窗3",
        "_work_id": 8,
    }
    conn = _RelationConn({701: old_payload}, {701: 3})
    pu._update_relation_card(
        conn,
        8,
        8,
        701,
        0,
        {
            "关系类型": "对手",
            "本窗演变": "公开决裂",
            "其他字段": {"当前状态": "敌对", "信任基础": "破裂"},
        },
    )
    updated = conn.drafts[701]["payload"]
    check("relation-update-顶层关系类型落正确位置", updated["关系类型"] == "对手")
    check("relation-update-其他字段逐字段落库",
          updated["字段"]["当前状态"] == "敌对" and updated["字段"]["信任基础"] == "破裂")
    check("relation-update-演变轨迹带窗号", updated["字段"]["演变轨迹"][-1] == "[窗8] 公开决裂")
    audit_by_name = {item["field_name"]: item for item in conn.audits}
    check("relation-update-关系类型使用顶层sentinel",
          pu.TOP_LEVEL_RELATION_TYPE_AUDIT_FIELD in audit_by_name)
    check("relation-update-其他字段完整旧新审计",
          json.loads(audit_by_name["当前状态"]["old_value"]) == "合作"
          and json.loads(audit_by_name["当前状态"]["new_value"]) == "敌对"
          and audit_by_name["信任基础"]["old_value"] is None)
    check("relation-update-演变轨迹完整旧新审计",
          json.loads(audit_by_name["演变轨迹"]["old_value"]) == ["[窗3] 初次合作"]
          and json.loads(audit_by_name["演变轨迹"]["new_value"])[-1] == "[窗8] 公开决裂")
    check("relation-update-state升到本窗且留旧水位审计",
          conn.states[701] == 8
          and json.loads(audit_by_name[pu.CARD_STATE_WATERMARK_AUDIT_FIELD]["old_value"]) == 3)

    pu.undo_window(conn, 8, 8)
    check("relation-update-undo完整恢复payload", conn.drafts[701]["payload"] == old_payload)
    check("relation-update-undo恢复旧水位", conn.states[701] == 3)

    new_payload = {
        "type": pu.RELATION_TYPE,
        "名称": "甲×丙",
        "甲方draft": 11,
        "乙方draft": 13,
        "关系类型": "师徒",
        "字段": {"当前状态": "建立", "演变轨迹": ["[窗8] 首次指点"]},
        "来源": "升格@窗8",
        "_work_id": 8,
    }
    new_id = pu._insert_relation_card(conn, 8, 8, new_payload)
    new_audits = [item for item in conn.audits if item["draft_id"] == new_id]
    check("relation-new-取得RETURNING-id并建state", new_id in conn.drafts and conn.states[new_id] == 8)
    check("relation-new-不是单条占位审计",
          {item["field_name"] for item in new_audits}
          >= {pu.TOP_LEVEL_RELATION_TYPE_AUDIT_FIELD, "当前状态", "演变轨迹",
              pu.CARD_STATE_WATERMARK_AUDIT_FIELD})
    pu.undo_window(conn, 8, 8)
    check("relation-new-undo软删", conn.drafts[new_id]["deleted"] is True)
    check("relation-new-undo清除state", new_id not in conn.states)


def test_entity_chapter_evidence_filter():
    """模型出场章只能保留规范名或合法别名在对应正文真实出现的章节。"""

    chapter_texts = {
        488: "环星防线开启，亲卫继续突进。",
        489: "安若雪同步率飙至100%，击碎能量屏障。",
        490: "众人称雪姐已经抵达核心区。",
        491: "备忘录提到雪（指挥官）这个带注释称呼。",
    }
    got = pu._filter_entity_chapters(
        "安若雪",
        ["雪姐", "雪（指挥官）", "新"],
        [488, "489", 490, 491],
        chapter_texts,
    )
    check("chapter-evidence-错488过滤为489与合法别名章", got == {489, 490})
    parenthetical = pu._filter_entity_chapters(
        "白色游魂（无名侦察兵）",
        [],
        [492],
        {492: "白色游魂从破损舱门后现身。"},
    )
    check("chapter-evidence-括号注名称按规范名命中", parenthetical == {492})

    false_positive_texts = {
        493: "大小姐转身离开大厅。",
        494: "小姐姐转身离开大厅。",
        495: "雪姐已经抵达核心区。",
        496: "安若雪已经抵达核心区。",
        497: "小姐转身离开大厅。",
    }
    check(
        "chapter-evidence-单字规范名禁作证据",
        pu._filter_entity_chapters("雪", [], [495, 496], false_positive_texts) == set(),
    )
    check(
        "chapter-evidence-通用称谓别名完全禁作证据",
        pu._filter_entity_chapters("安若雪", ["小姐"], [493, 494, 497], false_positive_texts) == set(),
    )
    generic_titles = (
        "队长", "舰长", "指挥官", "司令", "统领", "院长", "校长",
        "会长", "团长", "主任", "长老", "领主", "城主", "陛下", "殿下",
    )
    titles = {500 + index: f"{title}下令立刻行动。"
              for index, title in enumerate(generic_titles)}
    check(
        "chapter-evidence-规范名常见职务称谓全部禁作证据",
        all(
            pu._filter_entity_chapters(title, [], [500 + index], titles) == set()
            for index, title in enumerate(generic_titles)
        ),
    )
    check(
        "chapter-evidence-别名常见职务称谓全部禁作证据",
        all(
            pu._filter_entity_chapters("安若雪", [title], [500 + index], titles) == set()
            for index, title in enumerate(generic_titles)
        ),
    )

    proper_names = {
        530: "银河指挥官越过了环星防线。",
        531: "青云院长打开密室入口。",
        532: "玄天宗主唤醒护山大阵。",
        533: "司令塔发出低沉警报。",
    }
    check(
        "chapter-evidence-完整专名不因职务片段误杀",
        pu._filter_entity_chapters(
            "银河指挥官",
            ["青云院长", "玄天宗主", "司令塔"],
            ["530", 531, 532, 533],
            proper_names,
        ) == {530, 531, 532, 533},
    )
    check(
        "chapter-evidence-常规二至四字专名不受损",
        pu._filter_entity_chapters("安若雪", ["雪姐"], [495, 496], false_positive_texts) == {495, 496},
    )


def test_new_card_chapter_evidence_chain():
    """串联复现：错章里程碑被拒后，初卡只能用正文实证章补登场。"""

    conn = _CardConn()
    pu.new_card(
        conn,
        8,
        84,
        {
            "型": "character",
            "名称": "安若雪",
            "别名": ["雪姐"],
            "一句话摘要": "联邦战士",
            "字段": {
                "演变历程": [
                    {
                        "章": 488,
                        "台阶": "同步率飙至100%",
                        "周期": "高光",
                        "证据": "同步率飙至100%，击碎能量屏障",
                    }
                ]
            },
            "出场章": [488, 489],
        },
        {"character"},
        chapter_texts={
            488: "环星防线开启，亲卫继续突进。",
            489: "安若雪同步率飙至100%，击碎能量屏障。",
        },
    )
    milestones = conn.payload["字段"]["演变历程"]
    check("new-card-错488过滤为489", conn.payload["出场章"] == [489])
    check(
        "new-card-拒错里程碑后仅补实证登场",
        len(milestones) == 1
        and milestones[0]["章"] == 489
        and milestones[0]["周期"] == "登场"
        and milestones[0]["_win"] == 84,
    )

    no_evidence_conn = _CardConn()
    pu.new_card(
        no_evidence_conn,
        8,
        85,
        {
            "型": "character",
            "名称": "安若雪",
            "别名": [],
            "一句话摘要": "联邦战士",
            "字段": {"演变历程": []},
            "出场章": [488],
        },
        {"character"},
        chapter_texts={488: "环星防线开启，亲卫继续突进。"},
    )
    check("new-card-无真实章不落出场章", no_evidence_conn.payload["出场章"] == [])
    check("new-card-无真实章不补里程碑", no_evidence_conn.payload["字段"]["演变历程"] == [])

    history_conn = _CardConn()
    pu.new_card(
        history_conn,
        8,
        86,
        {
            "型": "character",
            "名称": "安若雪",
            "别名": [],
            "一句话摘要": "联邦战士",
            "字段": {"演变历程": []},
            "出场章": [489],
        },
        {"character"},
        chapter_texts={489: "安若雪抵达核心区。"},
        known_chapters=[480],
    )
    check("new-card-历史留档章不被当前窗过滤", history_conn.payload["出场章"] == [480, 489])


def test_merge_card_chapter_evidence():
    """既有卡顶层出场章追加必须复用正文实体命中过滤。"""

    conn = _CardConn(
        {
            "type": "character",
            "名称": "安若雪",
            "别名": ["雪姐"],
            "一句话摘要": "联邦战士",
            "字段": {},
            "出场章": [487],
            "_work_id": 8,
        }
    )
    pu.merge_card(
        conn,
        101,
        84,
        {},
        [],
        chapter_texts={
            488: "环星防线开启，亲卫继续突进。",
            489: "雪姐同步率飙至100%，击碎能量屏障。",
        },
        appearance_chapters=[488, 489],
    )
    check("merge-card-顶层错488过滤为489", conn.payload["出场章"] == [487, 489])

    # 顶层出场章必须随窗可撤销；正文变化后重跑不得残留上一轮已失效的章。
    pu.undo_window(conn, 8, 84)
    check("merge-card-undo精确恢复旧出场章", conn.payload["出场章"] == [487])
    pu.merge_card(
        conn,
        101,
        84,
        {},
        [],
        chapter_texts={
            489: "同步率飙至100%，击碎能量屏障。",
            490: "安若雪已经抵达核心区。",
        },
        appearance_chapters=[489, 490],
    )
    check("merge-card-正文变化重跑删除旧错章", conn.payload["出场章"] == [487, 490])




def _offline_window_input_rows(start, end, state=None):
    """共享 run fake 返回完整章/块输入，覆盖短写阶段的真实 fence 复验。"""

    default_text = {
        70: "安若雪状态变化。",
        71: "正文。",
    } if state and (state.get("payload") or {}).get("名称") == "安若雪" else {}
    return [
        (
            10000 + order_no,
            order_no,
            f"第{order_no}章",
            "published",
            1,
            20000 + order_no,
            1,
            "scene",
            1,
            default_text.get(order_no, f"离线正文{order_no}"),
        )
        for order_no in range(start, end + 1)
    ]


class _RunConn:
    """run 级离线夹具：只模拟控制流所需 SQL，绝不建立真实连接。"""

    def __init__(self, state):
        self.state = state
        self.writes = []
        self.commits = 0
        self.connection_id = self.state.setdefault("connection_seq", 0) + 1
        self.state["connection_seq"] = self.connection_id

    def __enter__(self):
        return self

    def __exit__(self, exc_type, exc, tb):
        return False

    def execute(self, query, params=()):
        normalized = " ".join(query.split())
        if self.state.get("track_sql"):
            self.state.setdefault("sql_order", []).append(normalized)
        if normalized.startswith("SELECT title FROM muse_content_work"):
            return _CardResult(("离线书",))
        if normalized.startswith(
                "SELECT window_no, from_chapter, to_chapter, status, error_message"):
            rows = self.state.get("windows", [(7, 70, 71)])
            status = self.state.get("window_status", "pending")
            error = self.state.get("window_error")
            return _CardResult(rows=[(*row[:3], status, error) for row in rows])
        if normalized.startswith("SELECT window_no FROM example_upgrade_window"):
            return _CardResult(rows=[])
        if normalized.startswith("SELECT id, window_no, from_chapter, to_chapter, deleted"):
            row = self.state.get("windows", [(7, 70, 71)])[0]
            return _CardResult((91, *row[:3], False))
        if normalized.startswith("SELECT c.id, c.order_no, c.title, c.status, c.revision"):
            row = self.state.get("windows", [(7, 70, 71)])[0]
            return _CardResult(rows=_offline_window_input_rows(row[1], row[2], self.state))
        if normalized.startswith("SELECT c.order_no, COALESCE(b.content_text,'')"):
            return _CardResult(rows=[])
        if normalized.startswith("SELECT s.schema_key, s.active_version_id"):
            return _CardResult(rows=[])
        if normalized.startswith("SELECT to_jsonb("):
            return _CardResult(rows=[])
        if normalized.startswith("SELECT id, status, error_message FROM example_upgrade_window"):
            return _CardResult((91, self.state.get("window_status", "pending"),
                                self.state.get("window_error")))
        if normalized.startswith("SELECT window_no, from_chapter, to_chapter FROM example_upgrade_window"):
            return _CardResult(rows=self.state.get("windows", [(7, 70, 71)]))
        if normalized.startswith("SELECT window_no, from_chapter, to_chapter, status FROM example_upgrade_window"):
            return _CardResult(rows=[(7, 70, 71, "pending")])
        if normalized.startswith("SELECT window_no, error_message FROM example_upgrade_window"):
            return _CardResult(rows=self.state.get("failed_windows", []))
        if normalized.startswith(
                "SELECT draft_payload, status, revision, source_type FROM muse_knowledge_draft"):
            draft_id = params[0]
            payload = self.state.get("payloads", {}).get(draft_id, self.state.get("payload"))
            revision = self.state.setdefault("revisions", {}).get(draft_id, 0)
            status = self.state.get("draft_status", "pending")
            source_type = self.state.get("draft_source_type", pu.SOURCE_TYPE)
            if self.state.get("bump_revision_after_lock"):
                self.state["revisions"][draft_id] = revision + 1
            return _CardResult((payload, status, revision, source_type))
        if normalized.startswith(
                "SELECT work_id, draft_payload, status, revision, source_type, deleted"):
            draft_id = params[0]
            payload = self.state.get("payloads", {}).get(draft_id, self.state.get("payload"))
            return _CardResult((
                8,
                payload,
                self.state.get("draft_status", "pending"),
                self.state.setdefault("revisions", {}).get(draft_id, 0),
                self.state.get("draft_source_type", pu.SOURCE_TYPE),
                False,
            ))
        if normalized.startswith("SELECT draft_payload FROM muse_knowledge_draft"):
            payload = self.state.get("payloads", {}).get(params[0], self.state.get("payload"))
            return _CardResult((payload,))
        if normalized.startswith("INSERT INTO muse_knowledge_draft"):
            draft_id = self.state.setdefault("next_draft_id", 101)
            self.state["next_draft_id"] = draft_id + 1
            self.state.setdefault("payloads", {})[draft_id] = json.loads(params[1])
            initial_revision = self.state.get("new_card_initial_revision", 1)
            self.state.setdefault("revisions", {})[draft_id] = initial_revision
            self.state.setdefault("inserted_draft_revisions", {})[draft_id] = initial_revision
            return _CardResult(
                (draft_id, initial_revision)
                if "RETURNING id, revision" in normalized else (draft_id,)
            )
        if normalized.startswith("UPDATE muse_knowledge_draft SET draft_payload=%s"):
            self.state.setdefault("draft_update_sql", []).append(normalized)
            if "RETURNING revision" in normalized:
                draft_id = params[1]
                revisions = self.state.setdefault("revisions", {})
                expected_revision = params[-1]
                if self.state.get("draft_status", "pending") != "pending" \
                        or self.state.get("draft_source_type", pu.SOURCE_TYPE) != pu.SOURCE_TYPE \
                        or revisions.get(draft_id, 0) != expected_revision:
                    return _CardResult(None)
            payload = json.loads(params[0])
            if "payloads" in self.state:
                self.state["payloads"][params[1]] = payload
            else:
                self.state["payload"] = payload
            if "revision=revision+1" in normalized:
                revisions = self.state.setdefault("revisions", {})
                revisions[params[1]] = revisions.get(params[1], 0) + 1
                return _CardResult((revisions[params[1]],))
        if normalized.startswith("INSERT INTO example_upgrade_alias"):
            self.state.setdefault("alias_rows", []).append(params)
            return _CardResult((params[1],))
        if normalized.startswith("UPDATE example_upgrade_window SET status='failed'"):
            if "AND status='done'" in normalized and "RETURNING status" in normalized and (
                    self.state.get("window_status") != "done"
                    or self.state.get("window_error") is not None
                    or self.state.get("window_updater", "upgrade") != "upgrade"):
                return _CardResult(None)
            self.state["window_status"] = "failed"
            self.state["window_error"] = params[0]
            self.state.setdefault("window_errors", []).append(params[0])
            self.state["window_updater"] = "upgrade"
            if self.state.get("track_events"):
                self.state.setdefault("events", []).append(("failed", self.connection_id))
            if "RETURNING status" in normalized:
                return _CardResult(("failed",))
        if normalized.startswith("UPDATE example_upgrade_window SET status='processing'"):
            self.state["window_status"] = "processing"
            self.state["window_error"] = None
        if normalized.startswith("UPDATE example_upgrade_window SET error_message=%s"):
            self.state["window_error"] = params[0]
        if normalized.startswith("UPDATE example_upgrade_window SET status='done'"):
            self.state["window_status"] = "done"
            self.state["window_error"] = None
            self.state["window_updater"] = "upgrade"
            if "RETURNING status" in normalized:
                return _CardResult(("done",))
        if normalized.startswith("SELECT count(*)"):
            return _CardResult((0,))
        if not normalized.startswith("SELECT"):
            self.writes.append((normalized, params))
        return _CardResult()

    def commit(self):
        """内存状态即时生效。"""
        self.commits += 1
        if self.state.get("track_events"):
            self.state.setdefault("events", []).append(("commit", self.connection_id))


def test_run_alias_paths_store_real_canonical_name():
    """疑似别名与 substring 命中 alias 键时，实际 INSERT 均写活跃卡真实名称。"""

    canonical = "一代机械外骨骼·铁壳"
    target = (701, "item", "一代机械外骨骼")
    state = {
        "windows": [(7, 57, 58)],
        "payload": {
            "type": "item",
            "名称": canonical,
            "别名": ["铁壳"],
            "字段": {},
            "_work_id": 8,
        },
    }

    def fake_m3_json(prompt, model, need_keys, system=None):
        if need_keys == pu.OBSERVATION_MODEL_KEYS:
            return ({
                "新名字": [
                    {"型": "item", "名称": "新铁壳", "疑似别名指向": "铁壳",
                     "出场章": [57], "字段": {}},
                    {"型": "item", "名称": "机械铁壳", "出场章": [58], "字段": {}},
                ],
                "已知实体新信息": [],
            }, {})
        if need_keys == ("更新",):
            return ({"更新": []}, {})
        raise AssertionError(f"不应出现的离线模型调用：{need_keys}")

    name_map = {canonical: target, "铁壳": target}
    with patch.object(pu.psycopg, "connect", side_effect=lambda *_: _RunConn(state)), \
            patch.object(pu, "load_entity_contracts", return_value=_fake_contracts()), \
            patch.object(pu, "load_window_material", return_value=(
                "新铁壳出现，机械铁壳随后启动。",
                {57: "新铁壳出现。", 58: "机械铁壳随后启动。"},
            )), \
            patch.object(pu, "load_known", return_value=(name_map, {}, {701: {"铁壳"}}, {701: 0})), \
            patch.object(pu, "m3_json", side_effect=fake_m3_json):
        # 该 fake 的材料由 load_window_material 单独提供，显式跳过真实章域一致性校验。
        pu._run(
            work_id=8,
            max_windows=0,
            max_calls=0,
            model="MiniMax-M3",
            redo_window=0,
            semantic_on=False,
            validate_window_input=False,
        )
    check("alias-run-两条alias路径均执行", len(state.get("alias_rows", [])) == 2)
    check("alias-run-canonical_name始终是真实卡名",
          {params[1] for params in state["alias_rows"]} == {canonical}, detail=str(state["alias_rows"]))


def test_run_new_card_registers_normalized_name_and_aliases_same_window():
    """括号名立卡后，同窗后续 alias/substr 必须命中新 canonical 并写真实规范名。"""

    state = {"payloads": {}}

    def fake_m3_json(prompt, model, need_keys, system=None):
        if need_keys == pu.OBSERVATION_MODEL_KEYS:
            return ({
                "新名字": [
                    {"型": "item", "名称": "白色游魂（无名侦察兵）", "出场章": [70, 71],
                     "字段": {}, "别名": []},
                    {"型": "item", "名称": "侦察兵甲", "疑似别名指向": "无名侦察兵",
                     "出场章": [70], "字段": {}},
                    {"型": "item", "名称": "无名侦察兵甲", "出场章": [71], "字段": {}},
                ],
                "已知实体新信息": [],
            }, {})
        if need_keys == ("更新",):
            return ({"更新": []}, {})
        raise AssertionError(f"不应出现的离线模型调用：{need_keys}")

    with patch.object(pu.psycopg, "connect", side_effect=lambda *_: _RunConn(state)), \
            patch.object(pu, "load_entity_contracts", return_value=_fake_contracts()), \
            patch.object(pu, "load_window_material", return_value=(
                "白色游魂现身，侦察兵甲靠近。无名侦察兵甲随后出现。",
                {70: "白色游魂现身，侦察兵甲靠近。", 71: "无名侦察兵甲随后出现。"},
            )), \
            patch.object(pu, "load_known", return_value=({}, {}, {}, {})), \
            patch.object(pu, "m3_json", side_effect=fake_m3_json):
        # 该 fake 的材料由 load_window_material 单独提供，显式跳过真实章域一致性校验。
        pu._run(
            work_id=8,
            max_windows=0,
            max_calls=0,
            model="MiniMax-M3",
            redo_window=0,
            semantic_on=False,
            validate_window_input=False,
        )
    candidate_rows = [
        params for params in state.get("alias_rows", [])
        if params[2] in {"侦察兵甲", "无名侦察兵甲"}
    ]
    check("new-card-index-同窗alias与substr均命中", len(candidate_rows) == 2, detail=str(state))
    check("new-card-index-canonical_name均为规范化名称",
          {params[1] for params in candidate_rows} == {"白色游魂"}, detail=str(candidate_rows))


def test_new_card_same_window_update_uses_database_initial_revision():
    """新卡同窗继续更新时，CAS 必须从 INSERT 返回的数据库初始 revision=1 起步。"""

    state = {
        "payloads": {},
        "window_status": "pending",
        "new_card_initial_revision": 1,
    }
    conn = _RunConn(state)
    entity = {
        "型": "item",
        "名称": "星钥",
        "别名": [],
        "一句话摘要": "沉睡中的钥匙",
        "字段": {},
        "出场章": [70, 71],
    }
    plan = {
        "actions": [("new", -1, entity, set(), [])],
        "to_update": {-1: ["同窗补充状态"]},
        "appearances": {},
        "aliases": {},
    }
    updates = [{
        "draft_id": -1,
        "变更字段": {"一句话摘要": "星钥已激活"},
        "别名新增": [],
        "valid_keys": {"一句话摘要"},
    }]
    chapter_texts = {70: "星钥被发现。", 71: "星钥完成激活。"}
    input_sha = pu._window_input_sha(*pu._capture_window_input(conn, 8, 7))

    with patch.object(pu, "merge_card", wraps=pu.merge_card) as merge_mock:
        ref_map, _, _, touched, _ = pu._apply_entity_stage(
            conn,
            8,
            7,
            plan,
            updates,
            {-1: (pu._build_new_card_payload(8, 7, entity), 0)},
            {},
            set(),
            chapter_texts,
            input_sha,
            91,
        )

    draft_id = ref_map[-1]
    check("new-card-revision-INSERT取得数据库初始值",
          state["inserted_draft_revisions"][draft_id] == 1, detail=str(state))
    check("new-card-revision-同窗merge使用真实初始revision",
          merge_mock.call_args.kwargs["expected_revision"] == 1,
          detail=str(merge_mock.call_args))
    check("new-card-revision-CAS从1推进到2并完成实体阶段",
          state["revisions"][draft_id] == 2
          and state["payloads"][draft_id]["一句话摘要"] == "星钥已激活"
          and touched == {draft_id}
          and state["window_status"] == "processing",
          detail=str(state))


def _run_duplicate_entity_update_case(updates, *, return_error=False):
    """执行同一实体的重复更新输出，并返回写入口调用和窗失败证据。"""

    draft_id = 24473
    state = {
        "window_status": "pending",
        "revisions": {draft_id: 3},
        "payload": {
            "type": "character", "名称": "安捷", "别名": [], "字段": {}, "_work_id": 8,
        },
    }
    contracts = _fake_contracts()
    contracts["character"]["字段"].extend([
        {"key": "阵营", "说明": "当前所属阵营"},
        {"key": "当前状态", "说明": "人物当前状态"},
    ])

    def fake_m3_json(prompt, model, need_keys, system=None):
        if need_keys == pu.OBSERVATION_MODEL_KEYS:
            return ({
                "新名字": [],
                "已知实体新信息": [
                    {"名称": "安捷", "型": "character", "观察点": "安捷状态发生变化", "出场章": []},
                ],
            }, {})
        if need_keys == ("更新",):
            return ({"更新": deepcopy(updates)}, {})
        raise AssertionError(f"不应出现的离线模型调用：{need_keys}")

    with patch.object(pu.psycopg, "connect", side_effect=lambda *_: _RunConn(state)), \
            patch.object(pu, "load_entity_contracts", return_value=contracts), \
            patch.object(pu, "load_window_material", return_value=("安捷保持警戒。", {70: "安捷保持警戒。"})), \
            patch.object(pu, "load_known", return_value=(
                {"安捷": (draft_id, "character", "")}, {}, {}, {draft_id: 3},
            )), \
            patch.object(pu, "m3_json", side_effect=fake_m3_json), \
            patch.object(pu, "undo_window"), \
            patch.object(pu, "merge_card", wraps=pu.merge_card) as merge_mock:
        try:
            # 该 fake 的材料由 load_window_material 单独提供，显式跳过真实章域一致性校验。
            pu._run(8, 0, 0, "MiniMax-M3", 0, False, validate_window_input=False)
        except pu.click.ClickException as exc:
            if return_error:
                return state, merge_mock, exc
            raise
    return (state, merge_mock, None) if return_error else (state, merge_mock)


def test_run_exact_and_disjoint_duplicate_entity_updates_merge_once():
    """相同项折叠、互补字段合并、别名稳定去重后，每个实体只写一次。"""

    exact = {
        "draft_id": 24473,
        "变更字段": {"阵营": "探索队"},
        "别名新增": ["小安", 7, "捷哥"],
    }
    disjoint = {
        "draft_id": 24473,
        "变更字段": {"当前状态": "保持警戒"},
        "别名新增": ["捷哥", None, "安队"],
    }
    state, merge_mock = _run_duplicate_entity_update_case([exact, deepcopy(exact), disjoint])
    check("entity-update-相同与互补重复只写一次", merge_mock.call_count == 1,
          detail=str(merge_mock.call_args_list))
    args, kwargs = merge_mock.call_args
    check("entity-update-互补字段按key合并",
          args[3] == {"阵营": "探索队", "当前状态": "保持警戒"}, detail=str(args[3]))
    check("entity-update-别名仅字符串稳定去重并集",
          args[4] == ["小安", "捷哥", "安队"], detail=str(args[4]))
    check("entity-update-仍使用模型读取时revision",
          kwargs.get("expected_revision") == 3 and state["revisions"][24473] == 4,
          detail=f"kwargs={kwargs}, revisions={state['revisions']}")
    check("entity-update-合并后整窗成功", state["window_status"] == "done")


def test_normalize_entity_updates_merges_compatible_milestones_only():
    """演变历程只合并可证明相同/互补的里程碑，不把冲突跃迁静默拼接。"""

    updates = [
        {
            "draft_id": 24473,
            "变更字段": {
                "演变历程": [
                    {"章": 569, "台阶": "进入跃迁态", "周期": "成长"},
                    {"章": 570, "台阶": "完成跃迁", "周期": "高光"},
                ]
            },
        },
        {
            "draft_id": 24473,
            "变更字段": {
                "演变历程": [
                    {
                        "章": "569",
                        "台阶": "进入跃迁态",
                        "周期": "成长",
                        "证据": "正文中的跃迁证据",
                    },
                    {"章": 571, "台阶": "稳定新形态", "周期": "成长"},
                ]
            },
        },
    ]
    normalized = pu._normalize_entity_updates(updates, {24473})
    milestones = normalized[0]["变更字段"]["演变历程"]
    check("entity-update-里程碑重复与互补安全合并", len(milestones) == 3,
          detail=str(milestones))
    check("entity-update-里程碑相同事件补齐证据",
          milestones[0]["章"] == 569
          and milestones[0]["证据"] == "正文中的跃迁证据",
          detail=str(milestones[0]))
    check("entity-update-里程碑互补事件保留", [item["章"] for item in milestones] == [569, 570, 571],
          detail=str(milestones))

    conflicting = [
        {
            "draft_id": 24473,
            "变更字段": {"演变历程": [{"章": 569, "台阶": "进入跃迁态", "周期": "成长"}]},
        },
        {
            "draft_id": 24473,
            "变更字段": {"演变历程": [{"章": "569", "台阶": "退化失控", "周期": "成长"}]},
        },
    ]
    try:
        pu._normalize_entity_updates(conflicting, {24473})
    except pu.EntityUpdateOutputConflict as exc:
        check("entity-update-同章同周期台阶冲突仍失败", "演变历程" in str(exc))
    else:
        check("entity-update-同章同周期台阶冲突仍失败", False, detail="未抛冲突")


def test_run_conflicting_duplicate_entity_updates_fail_before_any_write():
    """同一实体同一字段值冲突时，整批预检必须在 merge_card 与 alias 写入前稳定失败。"""

    state, merge_mock, second_failure = _run_duplicate_entity_update_case(
        [
            {"draft_id": 24473, "变更字段": {"阵营": "探索队"}, "别名新增": ["小安"]},
            {"draft_id": 24473, "变更字段": {"阵营": "敌方"}, "别名新增": ["安队"]},
        ],
        return_error=True,
    )
    check("entity-update-冲突重复第二次失败CLI非零", second_failure is not None,
          detail=str(second_failure))
    check("entity-update-冲突重复零merge写入", merge_mock is None or merge_mock.call_count == 0,
          detail=str(merge_mock.call_args_list if merge_mock else None))
    check("entity-update-冲突重复零alias写入", not state.get("alias_rows"),
          detail=str(state.get("alias_rows")))
    check("entity-update-冲突重复两次尝试错误稳定",
          len(state.get("window_errors", [])) == 2
          and len(set(state["window_errors"])) == 1,
          detail=str(state.get("window_errors")))
    check("entity-update-冲突重复整窗失败", state["window_status"] == "failed")


class _RelationRunConn:
    """复用关系内存库执行一个完整窗，验证关系 draft id 真进入提交后 touched。"""

    def __init__(self, db):
        self.db = db

    def __enter__(self):
        return self

    def __exit__(self, exc_type, exc, tb):
        return False

    def execute(self, query, params=()):
        normalized = " ".join(query.split())
        if normalized.startswith("SELECT title FROM muse_content_work"):
            return _CardResult(("离线关系书",))
        if normalized.startswith(
                "SELECT window_no, from_chapter, to_chapter, status, error_message"):
            return _CardResult(rows=[(
                8, 57, 60, getattr(self.db, "window_status", "pending"),
                getattr(self.db, "window_error", None),
            )])
        if normalized.startswith("SELECT window_no FROM example_upgrade_window"):
            return _CardResult(rows=[])
        if normalized.startswith("SELECT id, window_no, from_chapter, to_chapter, deleted"):
            return _CardResult((92, 8, 57, 60, False))
        if normalized.startswith("SELECT c.id, c.order_no, c.title, c.status, c.revision"):
            return _CardResult(rows=_offline_window_input_rows(57, 60))
        if normalized.startswith("SELECT c.order_no, COALESCE(b.content_text,'')"):
            return _CardResult(rows=[])
        if normalized.startswith("SELECT s.schema_key, s.active_version_id"):
            return _CardResult(rows=[])
        if normalized.startswith("SELECT to_jsonb("):
            return _CardResult(rows=[])
        if normalized.startswith("SELECT id, status, error_message FROM example_upgrade_window"):
            return _CardResult((92, getattr(self.db, "window_status", "pending"),
                                getattr(self.db, "window_error", None)))
        if normalized.startswith("SELECT window_no, error_message FROM example_upgrade_window"):
            return _CardResult(rows=[])
        if normalized.startswith("UPDATE example_upgrade_window SET status='failed'"):
            self.db.window_status = "failed"
            if not hasattr(self.db, "window_errors"):
                self.db.window_errors = []
            self.db.window_errors.append(params[0])
            self.db.window_error = params[0]
            return _CardResult(("failed",) if "RETURNING status" in normalized else None)
        if normalized.startswith("UPDATE example_upgrade_window SET status='processing'"):
            self.db.window_status = "processing"
            self.db.window_error = None
        if normalized.startswith("UPDATE example_upgrade_window SET error_message=%s"):
            self.db.window_error = params[0]
        if normalized.startswith("UPDATE example_upgrade_window SET status='done'"):
            self.db.window_status = "done"
            self.db.window_error = None
            return _CardResult(("done",) if "RETURNING status" in normalized else None)
        if normalized.startswith("SELECT count(*)"):
            return _CardResult((0,))
        if normalized.startswith("SELECT id, draft_payload, revision FROM muse_knowledge_draft") \
                and "draft_payload->>'type'=%s" in normalized:
            return _CardResult(rows=[
                (did, row["payload"], row["revision"])
                for did, row in self.db.drafts.items()
                if not row["deleted"] and row["payload"].get("type") == pu.RELATION_TYPE
            ])
        return self.db.execute(query, params)

    def commit(self):
        """内存写即时生效，无需额外动作。"""


def test_run_relation_cards_enter_touched_embedding():
    """关系更新与新建都必须进入窗提交后的 touched，复用唯一活向量刷新链路。"""

    character_payloads = {
        11: {"type": "character", "名称": "甲", "字段": {}, "_work_id": 8},
        12: {"type": "character", "名称": "乙", "字段": {}, "_work_id": 8},
        13: {"type": "character", "名称": "丙", "字段": {}, "_work_id": 8},
    }
    relation_payload = {
        "type": pu.RELATION_TYPE,
        "名称": "甲×乙",
        "甲方draft": 11,
        "乙方draft": 12,
        "关系类型": "盟友",
        "字段": {"演变轨迹": ["[窗3] 初次合作"]},
        "来源": "升格@窗3",
        "_work_id": 8,
    }
    db = _RelationConn({**character_payloads, 701: relation_payload}, {701: 3})
    embedded = []

    def fake_m3_json(prompt, model, need_keys, system=None):
        if need_keys == pu.OBSERVATION_MODEL_KEYS:
            return ({"新名字": [], "已知实体新信息": []}, {})
        if need_keys == ("关系",):
            return ({
                "关系": [
                    {"甲方": 11, "乙方": 12, "关系类型": "对手", "本窗演变": "公开决裂",
                     "其他字段": {"当前状态": "敌对"}},
                    {"甲方": 11, "乙方": 13, "关系类型": "师徒", "本窗演变": "首次指点",
                     "其他字段": {"当前状态": "建立"}},
                ]
            }, {})
        raise AssertionError(f"不应出现的离线模型调用：{need_keys}")

    name_map = {
        "甲": (11, "character", ""),
        "乙": (12, "character", ""),
        "丙": (13, "character", ""),
    }
    with patch.object(pu.psycopg, "connect", side_effect=lambda *_: _RelationRunConn(db)), \
            patch.object(pu, "load_entity_contracts", return_value=_fake_contracts()), \
            patch.object(pu, "load_window_material", return_value=(
                "甲与乙决裂，随后甲开始指点丙。",
                {57: "甲与乙共同出现。", 60: "甲开始指点丙。"},
            )), \
            patch.object(pu, "load_known", return_value=(name_map, {}, {}, {11: 0, 12: 0, 13: 0})), \
            patch.object(pu, "m3_json", side_effect=fake_m3_json), \
            patch.object(pu, "_embed_session", return_value=object()), \
            patch.object(pu, "prejudge_semantic", return_value=({}, 0, 0)), \
            patch.object(
                pu,
                "prepare_touched_cards",
                side_effect=lambda sess, touched: embedded.append(set(touched)) or [],
            ):
        # 该 fake 的材料由 load_window_material 单独提供，显式跳过真实章域一致性校验。
        pu._run(
            work_id=8,
            max_windows=0,
            max_calls=0,
            model="MiniMax-M3",
            redo_window=0,
            semantic_on=True,
            validate_window_input=False,
        )
    check("relation-run-新关系取得id", 702 in db.drafts)
    check("relation-run-更新与新建关系均进入touched", embedded == [{701, 702}], detail=str(embedded))


def _run_duplicate_relation_case(relations, *, return_error=False):
    """执行同一无序人物对的重复关系输出，并返回关系写调用与稳定失败证据。"""

    characters = {
        11: {"type": "character", "名称": "甲", "字段": {}, "_work_id": 8},
        12: {"type": "character", "名称": "乙", "字段": {}, "_work_id": 8},
    }
    relation_payload = {
        "type": pu.RELATION_TYPE,
        "名称": "甲×乙",
        "甲方draft": 11,
        "乙方draft": 12,
        "关系类型": "盟友",
        "字段": {"演变轨迹": ["[窗3] 初次合作"]},
        "来源": "升格@窗3",
        "_work_id": 8,
    }
    db = _RelationConn({**characters, 701: relation_payload}, {701: 3})
    db.window_status = "pending"
    db.window_errors = []

    def fake_m3_json(prompt, model, need_keys, system=None):
        if need_keys == pu.OBSERVATION_MODEL_KEYS:
            return ({"新名字": [], "已知实体新信息": []}, {})
        if need_keys == ("关系",):
            return ({"关系": deepcopy(relations)}, {})
        raise AssertionError(f"不应出现的离线模型调用：{need_keys}")

    name_map = {
        "甲": (11, "character", ""),
        "乙": (12, "character", ""),
    }
    with patch.object(pu.psycopg, "connect", side_effect=lambda *_: _RelationRunConn(db)), \
            patch.object(pu, "load_entity_contracts", return_value=_fake_contracts()), \
            patch.object(pu, "load_window_material", return_value=(
                "甲与乙的关系发生变化。", {57: "甲与乙的关系发生变化。"},
            )), \
            patch.object(pu, "load_known", return_value=(name_map, {}, {}, {11: 0, 12: 0})), \
            patch.object(pu, "m3_json", side_effect=fake_m3_json), \
            patch.object(pu, "undo_window"), \
            patch.object(pu, "_update_relation_card", wraps=pu._update_relation_card) as update_mock, \
            patch.object(pu, "_insert_relation_card", wraps=pu._insert_relation_card) as insert_mock:
        try:
            # 该 fake 的材料由 load_window_material 单独提供，显式跳过真实章域一致性校验。
            pu._run(8, 0, 0, "MiniMax-M3", 0, False, validate_window_input=False)
        except pu.click.ClickException as exc:
            if return_error:
                return db, update_mock.call_count, insert_mock.call_count, exc
            raise
    result = (db, update_mock.call_count, insert_mock.call_count)
    return (*result, None) if return_error else result


def test_run_conflicting_duplicate_relations_fail_before_any_relation_write():
    """同一无序实体对内容冲突时，整批预检必须在任何关系卡写入前稳定失败。"""

    db, update_calls, insert_calls, second_failure = _run_duplicate_relation_case([
        {"甲方": 11, "乙方": 12, "关系类型": "盟友", "本窗演变": "继续合作",
         "其他字段": {"当前状态": "互相信任"}},
        {"甲方": 12, "乙方": 11, "关系类型": "对手", "本窗演变": "公开决裂",
         "其他字段": {"当前状态": "彼此敌对"}},
    ], return_error=True)
    check("relation-冲突重复第二次失败CLI非零", second_failure is not None,
          detail=str(second_failure))
    check("relation-冲突重复零关系写入", update_calls == 0 and insert_calls == 0,
          detail=f"update={update_calls}, insert={insert_calls}")
    check("relation-冲突重复两次尝试错误稳定",
          len(db.window_errors) == 2 and len(set(db.window_errors)) == 1,
          detail=str(db.window_errors))
    check("relation-冲突重复整窗失败", db.window_status == "failed")


def _run_relation_repair_case(first_relations, repaired_relations, *, return_error=False):
    """执行关系首轮冲突与一次专用重整，返回模型调用和关系写入证据。"""

    characters = {
        11: {"type": "character", "名称": "甲", "字段": {}, "_work_id": 8},
        12: {"type": "character", "名称": "乙", "字段": {}, "_work_id": 8},
    }
    db = _RelationConn(characters)
    db.window_status = "pending"
    db.window_errors = []
    relation_prompts = []

    def fake_m3_json(prompt, model, need_keys, system=None):
        if need_keys == pu.OBSERVATION_MODEL_KEYS:
            return ({"新名字": [], "已知实体新信息": []}, {})
        if need_keys == ("关系",):
            relation_prompts.append(prompt)
            if len(relation_prompts) % 2 == 1:
                return ({"关系": deepcopy(first_relations)}, {})
            return ({"关系": deepcopy(repaired_relations)}, {})
        raise AssertionError(f"不应出现的离线模型调用：{need_keys}")

    name_map = {
        "甲": (11, "character", ""),
        "乙": (12, "character", ""),
    }
    with patch.object(pu.psycopg, "connect", side_effect=lambda *_: _RelationRunConn(db)), \
            patch.object(pu, "load_entity_contracts", return_value=_fake_contracts()), \
            patch.object(pu, "load_window_material", return_value=(
                "甲与乙的关系发生变化。", {57: "甲与乙的关系发生变化。"},
            )), \
            patch.object(pu, "load_known", return_value=(name_map, {}, {}, {11: 0, 12: 0})), \
            patch.object(pu, "m3_json", side_effect=fake_m3_json), \
            patch.object(pu, "undo_window") as undo_mock, \
            patch.object(pu, "_update_relation_card", wraps=pu._update_relation_card) as update_mock, \
            patch.object(pu, "_insert_relation_card", wraps=pu._insert_relation_card) as insert_mock:
        try:
            # 该 fake 的材料由 load_window_material 单独提供，显式跳过真实章域一致性校验。
            pu._run(8, 0, 0, "MiniMax-M3", 0, False, validate_window_input=False)
        except pu.click.ClickException as exc:
            if return_error:
                return (
                    db, relation_prompts, update_mock.call_count,
                    insert_mock.call_count, undo_mock.call_count, exc,
                )
            raise
    result = (db, relation_prompts, update_mock.call_count, insert_mock.call_count, undo_mock.call_count)
    return (*result, None) if return_error else result


def test_run_relation_conflict_repair_merges_to_one_card():
    """repair 仍拆成同一无序人物对的多维记录时，机械合并后只写一张卡。"""

    first = [
        {"甲方": 11, "乙方": 12, "关系类型": "盟友", "本窗演变": "并肩作战",
         "其他字段": {"当前状态": "互信"}},
        {"甲方": 12, "乙方": 11, "关系类型": "上下级", "本窗演变": "接受指挥",
         "其他字段": {"权力结构": "乙指挥甲"}},
    ]
    repaired = [
        {
            "甲方": 11, "乙方": 12, "关系类型": "盟友",
            "本窗演变": "并肩作战",
            "其他字段": {"当前状态": "互信"},
        },
        {
            "甲方": 12, "乙方": 11, "关系类型": "上下级",
            "本窗演变": "接受指挥",
            "其他字段": {"权力结构": "乙指挥甲"},
        },
    ]
    with StringIO() as stderr, redirect_stderr(stderr):
        db, prompts, update_calls, insert_calls, undo_calls = _run_relation_repair_case(
            first, repaired
        )
        repair_log = stderr.getvalue()
    relation_cards = [
        row for row in db.drafts.values()
        if row["payload"].get("type") == pu.RELATION_TYPE
    ]
    check("relation-repair-首轮冲突后只额外调用一次", len(prompts) == 2,
          detail=f"calls={len(prompts)}")
    check("relation-repair-专用prompt包含首轮输出与唯一性纪律",
          "关系专用重整" in prompts[1]
          and "首次关系输出" in prompts[1]
          and "同一无序人物对最多一条" in prompts[1],
          detail=prompts[1])
    check("relation-repair-合并后只写一张关系卡",
          update_calls == 0 and insert_calls == 1 and len(relation_cards) == 1,
          detail=f"update={update_calls}, insert={insert_calls}, cards={relation_cards}")
    relation_payload = relation_cards[0]["payload"]
    check("relation-repair-关系类型稳定合并",
          relation_payload["关系类型"] == "上下级 / 盟友", detail=str(relation_payload))
    check("relation-repair-本窗演变稳定合并",
          relation_payload["字段"]["演变轨迹"] == ["[窗8] 并肩作战；接受指挥"],
          detail=str(relation_payload))
    check("relation-repair-其他字段并集完整",
          relation_payload["字段"]["当前状态"] == "互信"
          and relation_payload["字段"]["权力结构"] == "乙指挥甲",
          detail=str(relation_payload))
    check("relation-repair-二次机械合并stderr可追踪",
          "pair=(11, 12)" in repair_log and "合并数=1" in repair_log,
          detail=repair_log)
    check("relation-repair-合并后整窗成功", db.window_status == "done",
          detail=str(db.window_errors))
    check("relation-repair-成功不触发整窗重试", undo_calls == 0,
          detail=f"undo_calls={undo_calls}")


def test_repaired_relation_merge_order_and_reverse_are_stable():
    """二次机械合并对互补反向关系输出完全确定的 payload。"""

    forward_rows = [
        {"甲方": 20, "乙方": 21, "关系类型": "师徒", "本窗演变": "首次指点",
         "其他字段": {"序列": "第二对"}},
        {"甲方": 12, "乙方": 11, "关系类型": "上下级", "本窗演变": "接受指挥",
         "其他字段": {"权力结构": "乙指挥甲"}},
        {"甲方": 11, "乙方": 12, "关系类型": "盟友", "本窗演变": "并肩",
         "其他字段": {"状态": "互信"}},
    ]
    reverse_rows = [
        {"甲方": 12, "乙方": 11, "关系类型": "盟友", "本窗演变": "并肩",
         "其他字段": {"状态": "互信"}},
        {"甲方": 21, "乙方": 20, "关系类型": "师徒", "本窗演变": "首次指点",
         "其他字段": {"序列": "第二对"}},
        {"甲方": 11, "乙方": 12, "关系类型": "上下级", "本窗演变": "接受指挥",
         "其他字段": {"权力结构": "乙指挥甲"}},
    ]
    first = pu._merge_repaired_relation_output(forward_rows, {11, 12, 20, 21})
    second = pu._merge_repaired_relation_output(reverse_rows, {11, 12, 20, 21})
    expected = [
        {
            "甲方": 11,
            "乙方": 12,
            "关系类型": "上下级 / 盟友",
            "本窗演变": "并肩；接受指挥",
            "其他字段": {"权力结构": "乙指挥甲", "状态": "互信"},
        },
        {
            "甲方": 20,
            "乙方": 21,
            "关系类型": "师徒",
            "本窗演变": "首次指点",
            "其他字段": {"序列": "第二对"},
        },
    ]
    check("relation-repair-互补反向输出完全相等",
          first == second, detail=f"first={first}, second={second}")
    check("relation-repair-确定pair片段和字段键顺序",
          first == expected and list(first[0]["其他字段"]) == ["权力结构", "状态"],
          detail=f"first={first}")


def test_repaired_relation_merge_rejects_unknown_top_level_dimensions():
    """repair 的非空未知顶层维度必须失败关闭；空值未知键可忽略。"""

    with_unknown = [{
        "甲方": 11,
        "乙方": 12,
        "关系类型": "盟友",
        "本窗演变": "并肩",
        "其他字段": {},
        "正文证据": "两人共同迎敌",
    }]
    try:
        pu._merge_repaired_relation_output(with_unknown, {11, 12})
    except pu.RelationOutputConflict as exc:
        check("relation-repair-非空未知顶层键失败关闭",
              "正文证据" in str(exc), detail=str(exc))
    else:
        check("relation-repair-非空未知顶层键失败关闭", False,
              detail="未知顶层维度被静默丢弃")

    empty_unknowns = [{
        "甲方": 12,
        "乙方": 11,
        "关系类型": "盟友",
        "本窗演变": "并肩",
        "其他字段": {"状态": "互信"},
        "空字符串": " ",
        "空对象": {},
        "空数组": [],
        "空值": None,
    }]
    check("relation-repair-空值未知顶层键可忽略",
          pu._merge_repaired_relation_output(empty_unknowns, {11, 12}) == [{
              "甲方": 11, "乙方": 12, "关系类型": "盟友", "本窗演变": "并肩",
              "其他字段": {"状态": "互信"},
          }])


def test_run_relation_conflict_repair_single_unknown_top_level_key_fails_window_without_relation_write():
    """首轮冲突后的单条 repair 也必须经过机械合并，未知键不得进入关系写事务。"""

    first = [
        {"甲方": 11, "乙方": 12, "关系类型": "盟友", "本窗演变": "继续合作",
         "其他字段": {"当前状态": "互信"}},
        {"甲方": 12, "乙方": 11, "关系类型": "对手", "本窗演变": "公开决裂",
         "其他字段": {"当前状态": "敌对"}},
    ]
    repaired = [{
        "甲方": 11,
        "乙方": 12,
        "关系类型": "盟友",
        "本窗演变": "继续合作",
        "其他字段": {"当前状态": "互信"},
        "正文证据": "两人共同迎敌",
    }]
    db, prompts, update_calls, insert_calls, undo_calls, second_failure = _run_relation_repair_case(
        first, repaired, return_error=True
    )
    relation_cards = [
        row for row in db.drafts.values()
        if row["payload"].get("type") == pu.RELATION_TYPE
    ]
    check("relation-repair-单条未知键CLI非零", second_failure is not None,
          detail=str(second_failure))
    check("relation-repair-单条未知键每次只补一次重整", len(prompts) == 4,
          detail=f"calls={len(prompts)}")
    check("relation-repair-单条未知键计算后零关系写入",
          update_calls == 0 and insert_calls == 0 and not relation_cards,
          detail=f"update={update_calls}, insert={insert_calls}, cards={relation_cards}")
    check("relation-repair-单条未知键最终整窗失败",
          db.window_status == "failed" and undo_calls == 2,
          detail=f"status={db.window_status}, undo_calls={undo_calls}")


def test_run_relation_conflict_repair_conflict_fails_window_without_relation_write():
    """关系专用重整仍冲突时不放宽比较，整窗重试后仍零关系写并失败关闭。"""

    conflicting = [
        {"甲方": 11, "乙方": 12, "关系类型": "盟友", "本窗演变": "继续合作",
         "其他字段": {"当前状态": "互信"}},
        {"甲方": 12, "乙方": 11, "关系类型": "对手", "本窗演变": "公开决裂",
         "其他字段": {"当前状态": "敌对"}},
    ]
    db, prompts, update_calls, insert_calls, undo_calls, second_failure = _run_relation_repair_case(
        conflicting, conflicting, return_error=True
    )
    check("relation-repair-二次冲突CLI非零", second_failure is not None,
          detail=str(second_failure))
    relation_cards = [
        row for row in db.drafts.values()
        if row["payload"].get("type") == pu.RELATION_TYPE
    ]
    check("relation-repair-二次冲突每次只补一次重整", len(prompts) == 4,
          detail=f"calls={len(prompts)}")
    check("relation-repair-二次冲突零关系写入",
          update_calls == 0 and insert_calls == 0 and not relation_cards,
          detail=f"update={update_calls}, insert={insert_calls}, cards={relation_cards}")
    check("relation-repair-二次冲突最终整窗失败",
          db.window_status == "failed" and len(db.window_errors) == 2,
          detail=str(db.window_errors))
    check("relation-repair-两次失败均clean后停止", undo_calls == 2,
          detail=f"undo_calls={undo_calls}")


def test_run_identical_duplicate_relations_write_existing_card_once():
    """完全相同的反向重复项规范成同一无序对，既有关系卡最多更新一次。"""

    first = {"甲方": 11, "乙方": 12, "关系类型": "盟友", "本窗演变": "继续合作",
             "其他字段": {"当前状态": "互相信任"}}
    reversed_duplicate = {**deepcopy(first), "甲方": 12, "乙方": 11}
    db, update_calls, insert_calls = _run_duplicate_relation_case([
        {"甲方": 11, "乙方": 11, "关系类型": "自关系"},
        {"甲方": 11, "乙方": 999, "关系类型": "窗外角色"},
        first,
        reversed_duplicate,
    ])
    check("relation-相同重复既有卡只更新一次", update_calls == 1 and insert_calls == 0,
          detail=f"update={update_calls}, insert={insert_calls}")
    check("relation-相同重复整窗成功", db.window_status == "done",
          detail=str(db.window_errors))
    check("relation-相同重复只推进一次revision", db.drafts[701]["revision"] == 1,
          detail=str(db.drafts[701]))


def test_run_prompt_revision_rejects_entity_and_relation_stale_results():
    """实体与关系模型调用期间 revision 变化时，旧模型结果都不得覆盖外部新值。"""

    entity_state = {
        "window_status": "pending",
        "revisions": {701: 0},
        "payload": {
            "type": "character", "名称": "安若雪", "字段": {}, "_work_id": 8,
        },
    }

    def entity_m3(prompt, model, need_keys, system=None):
        if need_keys == pu.OBSERVATION_MODEL_KEYS:
            return ({"新名字": [], "已知实体新信息": [
                {"名称": "安若雪", "型": "character", "观察点": "模型观察", "出场章": []}
            ]}, {})
        if need_keys == ("更新",):
            entity_state["payload"]["字段"]["外部改版"] = "保留"
            entity_state["revisions"][701] += 1
            return ({"更新": [{
                "draft_id": 701, "变更字段": {"阵营": "模型旧结果"}, "别名新增": []
            }]}, {})
        raise AssertionError(f"不应出现的离线模型调用：{need_keys}")

    with patch.object(pu.psycopg, "connect", side_effect=lambda *_: _RunConn(entity_state)), \
            patch.object(pu, "load_entity_contracts", return_value=_fake_contracts()), \
            patch.object(pu, "load_window_material", return_value=("安若雪出现。", {70: "安若雪出现。"})), \
            patch.object(pu, "load_known", return_value=(
                {"安若雪": (701, "character", "")}, {}, {}, {701: 0},
            )), \
            patch.object(pu, "m3_json", side_effect=entity_m3), \
            patch.object(pu, "undo_window"):
        # 该 fake 专门验证外部漂移后的失败状态，不验证 CLI 停止策略，因此显式保留旁路。
        pu._run(
            8, 0, 0, "MiniMax-M3", 0, False,
            raise_on_second_failure=False, validate_window_input=False,
        )
    check("prompt-revision-实体外部改版保留",
          entity_state["payload"]["字段"] == {"外部改版": "保留"})
    check("prompt-revision-实体旧模型结果令窗失败", entity_state["window_status"] == "failed")

    chars = {
        11: {"type": "character", "名称": "甲", "字段": {}, "_work_id": 8},
        12: {"type": "character", "名称": "乙", "字段": {}, "_work_id": 8},
    }
    relation_payload = {
        "type": pu.RELATION_TYPE, "名称": "甲×乙", "甲方draft": 11, "乙方draft": 12,
        "关系类型": "盟友", "字段": {"当前状态": "旧值"}, "_work_id": 8,
    }
    relation_db = _RelationConn({**chars, 701: relation_payload}, {701: 3})

    def relation_m3(prompt, model, need_keys, system=None):
        if need_keys == pu.OBSERVATION_MODEL_KEYS:
            return ({"新名字": [], "已知实体新信息": []}, {})
        if need_keys == ("关系",):
            row = relation_db.drafts[701]
            row["payload"]["字段"]["外部改版"] = "保留"
            row["revision"] += 1
            return ({"关系": [{
                "甲方": 11, "乙方": 12, "关系类型": "对手",
                "本窗演变": "模型旧结果", "其他字段": {"当前状态": "模型覆盖"},
            }]}, {})
        raise AssertionError(f"不应出现的离线模型调用：{need_keys}")

    with patch.object(pu.psycopg, "connect", side_effect=lambda *_: _RelationRunConn(relation_db)), \
            patch.object(pu, "load_entity_contracts", return_value=_fake_contracts()), \
            patch.object(pu, "load_window_material", return_value=("甲与乙出现。", {57: "甲与乙出现。"})), \
            patch.object(pu, "load_known", return_value=(
                {"甲": (11, "character", ""), "乙": (12, "character", "")},
                {}, {}, {11: 0, 12: 0},
            )), \
            patch.object(pu, "m3_json", side_effect=relation_m3), \
            patch.object(pu, "undo_window"):
        # 该 fake 专门验证外部漂移后的失败状态，不验证 CLI 停止策略，因此显式保留旁路。
        pu._run(
            8, 0, 0, "MiniMax-M3", 0, False,
            raise_on_second_failure=False, validate_window_input=False,
        )
    relation_fields = relation_db.drafts[701]["payload"]["字段"]
    check("prompt-revision-关系外部改版保留",
          relation_fields == {"当前状态": "旧值", "外部改版": "保留"})
    check("prompt-revision-关系零审计副作用", not relation_db.audits)


def test_relation_participants_lock_before_prompt_and_reject_external_drift():
    """关系短读后允许无连接 prompt，提交前改版、确认或删除必须失败关闭。"""

    characters = {
        11: {"type": "character", "名称": "甲", "字段": {}, "_work_id": 8},
        12: {"type": "character", "名称": "乙", "字段": {}, "_work_id": 8},
    }
    for name in ("revision改版", "外部确认", "外部删除"):
        db = _RelationConn(characters)
        relation_calls = []

        def drift_before_lock(draft_id):
            if draft_id != 12:
                return
            row = db.drafts[12]
            if name == "revision改版":
                row["payload"]["字段"]["外部改版"] = "保留"
                row["revision"] += 1
            elif name == "外部确认":
                row["status"] = "confirmed"
            else:
                row["deleted"] = True

        db.before_lock = drift_before_lock

        def fake_m3_json(prompt, model, need_keys, system=None):
            if need_keys == pu.OBSERVATION_MODEL_KEYS:
                return ({"新名字": [], "已知实体新信息": []}, {})
            if need_keys == ("关系",):
                relation_calls.append(prompt)
                return ({"关系": [{"甲方": 11, "乙方": 12, "关系类型": "盟友"}]}, {})
            raise AssertionError(f"不应出现的离线模型调用：{need_keys}")

        with patch.object(pu.psycopg, "connect", side_effect=lambda *_: _RelationRunConn(db)), \
                patch.object(pu, "load_entity_contracts", return_value=_fake_contracts()), \
                patch.object(pu, "load_window_material", return_value=("甲与乙出现。", {57: "甲与乙出现。"})), \
                patch.object(pu, "load_known", return_value=(
                    {"甲": (11, "character", ""), "乙": (12, "character", "")},
                    {}, {}, {11: 0, 12: 0},
                )), \
                patch.object(pu, "m3_json", side_effect=fake_m3_json), \
                patch.object(pu, "undo_window"):
            # 该 fake 专门验证提交前拒绝外部漂移，不验证 CLI 停止策略，因此显式保留旁路。
            pu._run(
                8, 0, 0, "MiniMax-M3", 0, False,
                raise_on_second_failure=False, validate_window_input=False,
            )
        expected_calls = 2 if name == "revision改版" else 1
        check(f"relation-participant-{name}-prompt后提交拒绝",
              len(relation_calls) == expected_calls, detail=f"calls={len(relation_calls)}")
        check(f"relation-participant-{name}-不新建关系",
              set(db.drafts) == {11, 12} and not db.audits)


def test_run_alias_gate_precedes_empty_update_and_deleted_alias_fails_closed():
    """alias 分类先校验目标版本；唯一 tombstone 即使同 canonical 也不可视为成功。"""

    state = {
        "window_status": "pending",
        "revisions": {701: 0},
        "payload": {"type": "item", "名称": "铁壳", "字段": {}, "_work_id": 8},
    }

    def fake_m3(prompt, model, need_keys, system=None):
        if need_keys == pu.OBSERVATION_MODEL_KEYS:
            state["revisions"][701] += 1
            return ({"新名字": [{
                "型": "item", "名称": "新铁壳", "疑似别名指向": "铁壳",
                "出场章": [70], "字段": {},
            }], "已知实体新信息": []}, {})
        if need_keys == ("更新",):
            return ({"更新": []}, {})
        raise AssertionError(f"不应出现的离线模型调用：{need_keys}")

    with patch.object(pu.psycopg, "connect", side_effect=lambda *_: _RunConn(state)), \
            patch.object(pu, "load_entity_contracts", return_value=_fake_contracts()), \
            patch.object(pu, "load_window_material", return_value=("新铁壳出现。", {70: "新铁壳出现。"})), \
            patch.object(pu, "load_known", return_value=(
                {"铁壳": (701, "item", "")}, {}, {}, {701: 0},
            )), \
            patch.object(pu, "m3_json", side_effect=fake_m3), \
            patch.object(pu, "undo_window"):
        # 该 fake 专门验证 alias gate 失败状态，不验证 CLI 停止策略，因此显式保留旁路。
        pu._run(
            8, 0, 0, "MiniMax-M3", 0, False,
            raise_on_second_failure=False, validate_window_input=False,
        )
    check("alias-gate-空更新前版本冲突不写alias", not state.get("alias_rows"))
    check("alias-gate-版本冲突窗失败", state["window_status"] == "failed")

    tombstone = _IntegrityConn(
        {"type": "character", "名称": "安若雪", "字段": {}, "_work_id": 8},
        aliases={"雪姐": ("安若雪", 2)},
    )
    tombstone.aliases["雪姐"]["deleted"] = True
    try:
        pu.merge_card(tombstone, 701, 8, {}, ["雪姐"], expected_revision=4)
    except pu.AliasOwnershipConflict as exc:
        check("alias-tombstone-同canonical仍失败关闭", "deleted" in str(exc))
    else:
        check("alias-tombstone-同canonical仍失败关闭", False, detail="tombstone 被当作幂等成功")
    check("alias-tombstone-不复活不写payload",
          tombstone.aliases["雪姐"]["deleted"] is True
          and "别名" not in tombstone.drafts[701]["payload"])


def test_run_embedding_owner_conflict_marks_window_failed():
    """当前新 hash 无 owner 时，同 draft 旧活向量的 entity owner 仍必须阻断且保持活跃。"""

    state = {
        "window_status": "pending",
        "track_events": True,
        "payload": {
            "type": "character",
            "名称": "安若雪",
            "别名": [],
            "字段": {},
            "_work_id": 8,
        },
        "artifacts": {
            "drafts": [701],
            "states": [701],
            "audits": [701],
            "aliases": ["雪姐"],
            "presence": ["窗7出场"],
        },
    }

    def fake_m3_json(prompt, model, need_keys, system=None):
        if need_keys == pu.OBSERVATION_MODEL_KEYS:
            return ({
                "新名字": [],
                "已知实体新信息": [{"名称": "安若雪", "型": "character", "观察点": "状态变化", "出场章": [70]}],
            }, {})
        if need_keys == ("更新",):
            return ({"更新": []}, {})
        raise AssertionError(f"不应出现的离线模型调用：{need_keys}")

    embed_text = "当前新向量文本"
    old_embed_text = "同 draft 旧向量文本"
    old_content_hash = hashlib.sha256(f"{old_embed_text}|{pu.EMBED_MODEL}".encode()).hexdigest()
    embedding_state = {
        "drafts": {
            701: {"payload": deepcopy(state["payload"]), "deleted": False},
        },
        "embeddings": [{
            "draft_id": 701,
            "entity_id": 9001,
            "content_hash": old_content_hash,
            "embed_text": old_embed_text,
            "model": pu.EMBED_MODEL,
            "dimensions": pu.EMBED_DIM,
            "embedding": "[0.3]",
            "deleted": False,
        }],
    }
    embed_calls = []
    real_apply_prepared_cards = pu.apply_prepared_cards

    def compensate_undo(conn, work_id, win_no):
        """模拟真实 undo 的五域清理，并记录必须发生在 failed 更新之前的连接身份。"""
        state.setdefault("events", []).append(("undo", conn.connection_id))
        for values in state["artifacts"].values():
            values.clear()
        state.setdefault("revisions", {})[701] = 0

    def run_real_prepare(sess, touched):
        embed_calls.append([embed_text])
        content_hash = hashlib.sha256(f"{embed_text}|{pu.EMBED_MODEL}".encode()).hexdigest()
        return [(701, embed_text, content_hash, 0, [0.9])]

    def run_real_finalize(work_id, win_no, input_sha, relation_state_sha, prepared):
        return real_apply_prepared_cards(_EmbeddingConn(embedding_state), work_id, prepared)

    with patch.object(pu, "upgrade_work_lock", return_value=nullcontext()), \
            patch.object(pu.psycopg, "connect", side_effect=lambda *_: _RunConn(state)), \
            patch.object(pu, "load_entity_contracts", return_value=_fake_contracts()), \
            patch.object(
                pu,
                "load_window_material",
                return_value=("安若雪状态变化。", {70: "安若雪状态变化。", 71: "正文。"}),
            ), \
            patch.object(
                pu,
                "load_known",
                return_value=({"安若雪": (701, "character", "旧摘要")}, {}, {}, {701: 0}),
            ), \
            patch.object(pu, "m3_json", side_effect=fake_m3_json), \
            patch.object(pu, "_embed_session", return_value=object()), \
            patch.object(pu, "prejudge_semantic", return_value=({}, 0, 0)), \
            patch.object(pu, "undo_window", side_effect=compensate_undo), \
            patch.object(
                pu,
                "prepare_touched_cards",
                side_effect=run_real_prepare,
            ), \
            patch.object(pu, "_finalize_window", side_effect=run_real_finalize):
        result = CliRunner().invoke(pu.cli, ["run", "--work-id", "8", "--semantic-dedup"])
    check("embed-conflict-run-命令非零", result.exit_code != 0, detail=result.output)
    check("embed-conflict-run-status补偿为failed", state["window_status"] == "failed")
    compensation = state.get("events", [])[-3:]
    check(
        "embed-conflict-run-同事务先undo再failed后commit",
        [event for event, _ in compensation] == ["undo", "failed", "commit"]
        and len({conn_id for _, conn_id in compensation}) == 1,
        detail=str(state.get("events")),
    )
    check(
        "embed-conflict-run-五域无已提交窗残留",
        all(not values for values in state["artifacts"].values()),
        detail=str(state["artifacts"]),
    )
    check("embed-conflict-run-不打印窗完成", "窗7✓" not in result.output, detail=result.output)
    check("embed-old-entity-owner-两次尝试均先计算新向量",
          embed_calls == [[embed_text], [embed_text]])
    check("embed-old-entity-owner-保持活跃与绑定",
          embedding_state["embeddings"][0]["draft_id"] == 701
          and embedding_state["embeddings"][0]["entity_id"] == 9001
          and embedding_state["embeddings"][0]["deleted"] is False)


def _run_owner_conflict_case(state, *, undo_effect=None):
    """执行一个完整窗直到 embedding prepare 冲突，供补偿边界反例复用。"""

    def fake_m3_json(prompt, model, need_keys, system=None):
        if need_keys == pu.OBSERVATION_MODEL_KEYS:
            return ({
                "新名字": [],
                "已知实体新信息": [
                    {"名称": "安若雪", "型": "character", "观察点": "状态变化", "出场章": []}
                ],
            }, {})
        if need_keys == ("更新",):
            return ({"更新": []}, {})
        raise AssertionError(f"不应出现的离线模型调用：{need_keys}")

    def owner_conflict(sess, touched):
        callback = state.get("before_owner_conflict")
        if callback:
            callback()
        raise pu.EmbeddingOwnershipConflict("离线 owner 冲突")

    def capture_state(conn, work_id, current_window_id):
        return {
            "drafts": [(
                deepcopy(state.get("payload")), state.get("draft_status", "pending"),
                state.setdefault("revisions", {}).get(701, 0),
            )],
            "aliases": [], "presence": [], "card_state": [], "audits": [], "windows": [],
        }

    with patch.object(pu, "upgrade_work_lock", return_value=nullcontext()), \
            patch.object(pu.psycopg, "connect", side_effect=lambda *_: _RunConn(state)), \
            patch.object(pu, "load_entity_contracts", return_value=_fake_contracts()), \
            patch.object(pu, "load_window_material", return_value=(
                "安若雪状态变化。", {70: "安若雪状态变化。", 71: "正文。"},
            )), \
            patch.object(pu, "load_known", return_value=(
                {"安若雪": (701, "character", "旧摘要")}, {}, {}, {701: 0},
            )), \
            patch.object(pu, "m3_json", side_effect=fake_m3_json), \
            patch.object(pu, "_embed_session", return_value=object()), \
            patch.object(pu, "prejudge_semantic", return_value=({}, 0, 0)), \
            patch.object(pu, "_capture_window_state", side_effect=capture_state), \
            patch.object(pu, "prepare_touched_cards", side_effect=owner_conflict), \
            patch.object(pu, "undo_window", side_effect=undo_effect) as undo:
        result = CliRunner().invoke(
            pu.cli, ["run", "--work-id", "8", "--semantic-dedup"]
        )
    return result, undo


def test_owner_conflict_external_confirmation_preserves_draft_and_persists_breakpoint():
    """嵌入冲突前被外部确认/改版的 touched 卡绝不 undo，并持久化补偿失败断点。"""

    original_payload = {
        "type": "character", "名称": "安若雪", "字段": {}, "_work_id": 8,
    }
    state = {
        "window_status": "pending",
        "payload": deepcopy(original_payload),
        "revisions": {701: 0},
    }

    def confirm_externally():
        state["draft_status"] = "confirmed"
        state["revisions"][701] = 1
        state["payload"]["字段"]["人工确认"] = "必须保留"

    state["before_owner_conflict"] = confirm_externally
    result, undo = _run_owner_conflict_case(state)
    check("compensation-fence-外部确认后命令非零", result.exit_code != 0, detail=result.output)
    check("compensation-fence-绝不undo或软删外部卡", not undo.called
          and state["draft_status"] == "confirmed"
          and state["payload"]["字段"] == {"人工确认": "必须保留"})
    check("compensation-fence-窗口持久failed断点",
          state["window_status"] == "failed"
          and str(state.get("window_error", "")).startswith(pu.COMPENSATION_FAILED_PREFIX),
          detail=str(state))






def test_compensation_exception_persists_durable_failed_and_next_run_stops():
    """clean undo 异常必须持久化 compensation-failed，下一次 run 失败关闭。"""

    state = {
        "window_status": "pending",
        "track_events": True,
        "payload": {"type": "character", "名称": "安若雪", "字段": {}, "_work_id": 8},
        "revisions": {701: 0},
    }

    def fail_compensation(*args, **kwargs):
        raise RuntimeError("undo离线故障")

    result, undo = _run_owner_conflict_case(state, undo_effect=fail_compensation)
    error_message = str(state.get("window_error", ""))
    check(
        "compensation-durable-undo异常持久failed",
        result.exit_code != 0
        and state["window_status"] == "failed"
        and error_message.startswith(pu.COMPENSATION_FAILED_PREFIX),
        detail=f"output={result.output!r}, state={state!r}",
    )
    check("compensation-durable-确实进入undo", undo.called)
    durable_events = state.get("events", [])[-2:]
    check(
        "compensation-durable-failed与commit同事务",
        [event for event, _ in durable_events] == ["failed", "commit"]
        and durable_events[0][1] == durable_events[1][1],
        detail=str(state.get("events")),
    )

    with patch.object(pu.psycopg, "connect", side_effect=lambda *_: _RunConn(state)), \
            patch.object(pu, "upgrade_work_lock", return_value=nullcontext()), \
            patch.object(pu, "load_entity_contracts", return_value=_fake_contracts()):
        second = CliRunner().invoke(
            pu.cli, ["run", "--work-id", "8", "--semantic-dedup"]
        )
    check(
        "compensation-durable-下次run立即阻断",
        second.exit_code != 0 and "禁止自动恢复" in second.output,
        detail=second.output,
    )


def test_run_embedding_payload_drift_marks_window_failed_without_vector_writes():
    """HTTP 期间 payload 漂移时，写段必须锁行复验并在任何向量 UPDATE/UPSERT 前阻断。"""

    state = {
        "window_status": "pending",
        "payload": {
            "type": "character", "名称": "安若雪", "别名": [], "字段": {}, "_work_id": 8,
        },
    }
    embedding_state = {
        "drafts": {701: {
            "payload": deepcopy(state["payload"]), "deleted": False,
            "tenant_id": pu.TENANT, "status": "pending",
        }},
        "embeddings": [],
    }
    real_embed_touched_cards = pu.embed_touched_cards

    def fake_m3_json(prompt, model, need_keys, system=None):
        if need_keys == pu.OBSERVATION_MODEL_KEYS:
            return ({"新名字": [], "已知实体新信息": [
                {"名称": "安若雪", "型": "character", "观察点": "状态变化", "出场章": [70]}
            ]}, {})
        if need_keys == ("更新",):
            return ({"更新": []}, {})
        raise AssertionError(f"不应出现的离线模型调用：{need_keys}")

    def run_real_embed(sess, work_id, touched):
        def drift_during_http(embed_sess, texts):
            embedding_state["drafts"][701]["payload"]["字段"]["HTTP后漂移"] = "新值"
            return ([[0.7]], set())

        with patch.object(pu.psycopg, "connect", side_effect=lambda *_: _EmbeddingConn(embedding_state)), \
                patch.object(pu, "embed_texts", side_effect=drift_during_http):
            return real_embed_touched_cards(sess, work_id, touched)

    with patch.object(pu, "upgrade_work_lock", return_value=nullcontext()), \
            patch.object(pu.psycopg, "connect", side_effect=lambda *_: _RunConn(state)), \
            patch.object(pu, "load_entity_contracts", return_value=_fake_contracts()), \
            patch.object(pu, "load_window_material", return_value=(
                "安若雪状态变化。", {70: "安若雪状态变化。", 71: "正文。"},
            )), \
            patch.object(pu, "load_known", return_value=(
                {"安若雪": (701, "character", "旧摘要")}, {}, {}, {701: 0},
            )), \
            patch.object(pu, "m3_json", side_effect=fake_m3_json), \
            patch.object(pu, "_embed_session", return_value=object()), \
            patch.object(pu, "prejudge_semantic", return_value=({}, 0, 0)), \
            patch.object(pu, "embed_touched_cards", side_effect=run_real_embed):
        result = CliRunner().invoke(pu.cli, ["run", "--work-id", "8", "--semantic-dedup"])

    vector_writes = [sql for sql in embedding_state.get("sql_order", [])
                     if sql.startswith("UPDATE example_knowledge_embedding")
                     or sql.startswith("INSERT INTO example_knowledge_embedding")]
    check("embed-payload-drift-命令非零且窗failed",
          result.exit_code != 0 and state["window_status"] == "failed", detail=result.output)
    check("embed-payload-drift-无窗完成", "窗7✓" not in result.output, detail=result.output)
    check("embed-payload-drift-零向量写入", not vector_writes, detail=str(vector_writes))


class _EmbeddingConn:
    """增量嵌入 fake DB：复现旧软删 draft 占用同 hash 唯一键的冲突行。"""

    def __init__(self, state):
        self.state = state

    def __enter__(self):
        return self

    def __exit__(self, exc_type, exc, tb):
        return False

    def execute(self, query, params=()):
        normalized = " ".join(query.split())
        if normalized.startswith("SELECT draft_payload, revision FROM muse_knowledge_draft"):
            draft_id = params[0]
            row = self.state["drafts"].get(draft_id)
            if not row or row.get("deleted") or row.get("status", "pending") != "pending":
                return _CardResult(None)
            return _CardResult((row["payload"], row.get("revision", 0)))
        if normalized.startswith("SELECT content_hash FROM example_knowledge_embedding"):
            draft_id = params[1]
            return _CardResult(rows=[
                (row["content_hash"],) for row in self.state["embeddings"]
                if row.get("draft_id") == draft_id and not row.get("deleted")
            ])
        if normalized.startswith(
                "SELECT work_id, draft_payload, status, revision, source_type, deleted"):
            draft_id = params[0]
            row = self.state["drafts"].get(draft_id)
            if not row:
                return _CardResult(None)
            return _CardResult((
                row.get("work_id", 8), row["payload"], row.get("status", "pending"),
                row.get("revision", 0), row.get("source_type", pu.SOURCE_TYPE),
                row.get("deleted", False),
            ))
        self.state.setdefault("sql_order", []).append(normalized)
        if normalized.startswith("SELECT tenant_id, deleted, status, draft_payload"):
            draft = self.state["drafts"].get(params[0])
            if not draft:
                return _CardResult(None)
            return _CardResult((
                draft.get("tenant_id", pu.TENANT),
                draft["deleted"],
                draft.get("status", "pending"),
                draft["payload"],
            ))
        self.state.setdefault("sql_order", []).append(normalized)
        if normalized.startswith("SELECT draft_payload FROM muse_knowledge_draft"):
            draft = self.state["drafts"].get(params[0])
            if not draft or draft["deleted"]:
                return _CardResult(None)
            return _CardResult((draft["payload"],))
        if normalized.startswith("SELECT content_hash FROM example_knowledge_embedding"):
            rows = [
                (row["content_hash"],)
                for row in self.state["embeddings"]
                if row["draft_id"] == params[1] and not row["deleted"]
            ]
            return _CardResult(rows=rows)
        if normalized.startswith("SELECT id, content_hash, entity_id FROM example_knowledge_embedding"):
            rows = [
                (index + 1, row["content_hash"], row.get("entity_id"))
                for index, row in enumerate(self.state["embeddings"])
                if row["draft_id"] == params[1] and not row["deleted"]
            ]
            return _CardResult(rows=rows)
        if normalized.startswith("SELECT e.draft_id"):
            content_hash = params[1]
            row = next(
                (item for item in self.state["embeddings"] if item["content_hash"] == content_hash),
                None,
            )
            if row is None:
                return _CardResult(None)
            owner = self.state["drafts"].get(row["draft_id"])
            owner_values = (
                row["draft_id"],
                row["deleted"],
                owner["deleted"] if owner else True,
                owner["payload"] if owner else None,
            )
            if "e.entity_id" in normalized:
                owner_values = (owner_values[0], row.get("entity_id"), *owner_values[1:])
            return _CardResult(owner_values)
        if normalized.startswith("UPDATE example_knowledge_embedding SET deleted=TRUE"):
            for row in self.state["embeddings"]:
                if row["draft_id"] == params[2] and not row["deleted"] \
                        and row["content_hash"] != params[3] \
                        and ("entity_id IS NULL" not in normalized or row.get("entity_id") is None):
                    row["deleted"] = True
            return _CardResult()
        if normalized.startswith("INSERT INTO example_knowledge_embedding"):
            draft_id, content_hash, embed_text, model, dimensions, embedding = params[:6]
            row = next(
                (item for item in self.state["embeddings"] if item["content_hash"] == content_hash),
                None,
            )
            is_new = row is None
            if is_new:
                row = {"entity_id": None}
                self.state["embeddings"].append(row)
            previous_owner = row.get("draft_id")
            previous_draft = self.state["drafts"].get(previous_owner)
            guarded = "WHERE example_knowledge_embedding.draft_id=EXCLUDED.draft_id" in normalized
            can_update = is_new or previous_owner == draft_id or row.get("deleted") \
                or not previous_draft or previous_draft["deleted"]
            if "example_knowledge_embedding.entity_id IS NULL" in normalized:
                can_update = can_update and row.get("entity_id") is None
            if guarded and not can_update:
                return _CardResult(None)
            # 按 SQL 文本模拟真实 ON CONFLICT：旧实现没有迁移 draft_id，测试应先 RED。
            if is_new or "draft_id=EXCLUDED.draft_id" in normalized:
                row["draft_id"] = draft_id
            row.update({
                "content_hash": content_hash,
                "embed_text": embed_text if "embed_text=EXCLUDED.embed_text" in normalized or is_new else row.get("embed_text"),
                "model": model,
                "dimensions": dimensions if "dimensions=EXCLUDED.dimensions" in normalized or is_new else row.get("dimensions"),
                "embedding": embedding if "embedding=EXCLUDED.embedding" in normalized or is_new else row.get("embedding"),
                "deleted": False,
            })
            return _CardResult((row["draft_id"],))
        return _CardResult()

    def commit(self):
        """fake DB 写入即时生效。"""


def test_embed_touched_migrates_soft_deleted_hash_owner():
    """全重抽新 draft 命中旧软删同 hash 时，唯一活向量必须迁到新 draft 并刷新当前列。"""

    payload = {"type": pu.RELATION_TYPE, "名称": "甲×乙", "字段": {"演变轨迹": ["首次合作"]}}
    embed_text = "当前关系卡嵌入文本"
    content_hash = hashlib.sha256(f"{embed_text}|{pu.EMBED_MODEL}".encode()).hexdigest()
    state = {
        "drafts": {
            701: {"payload": deepcopy(payload), "deleted": True},
            902: {"payload": deepcopy(payload), "deleted": False},
        },
        "embeddings": [{
            "draft_id": 701,
            "content_hash": content_hash,
            "embed_text": "旧文本",
            "model": pu.EMBED_MODEL,
            "dimensions": pu.EMBED_DIM,
            "embedding": "[0.1]",
            "deleted": True,
        }],
    }
    current_vector = [0.9, 0.8]
    with patch.object(pu.psycopg, "connect", side_effect=lambda *_: _EmbeddingConn(state)), \
            patch.object(pu, "build_embed_text", return_value=embed_text), \
            patch.object(pu, "embed_texts", return_value=([current_vector], set())):
        done = pu.embed_touched_cards(object(), 8, {902})
    active = [row for row in state["embeddings"] if not row["deleted"]]
    check("embed-conflict-只保留唯一活向量", done == 1 and len(active) == 1)
    check("embed-conflict-同hash迁到新draft", active[0]["draft_id"] == 902, detail=str(active))
    check("embed-conflict-同步当前嵌入列",
          active[0]["embed_text"] == embed_text
          and active[0]["dimensions"] == pu.EMBED_DIM
          and json.loads(active[0]["embedding"]) == current_vector)
    sql_order = state.get("sql_order", [])
    table_lock = next((i for i, sql in enumerate(sql_order)
                       if sql.startswith("LOCK TABLE muse_knowledge_draft, example_knowledge_embedding")), None)
    row_locks = [i for i, sql in enumerate(sql_order) if "FOR UPDATE" in sql]
    check("embed-write-固定表锁早于draft与hash行锁",
          table_lock is not None and row_locks and table_lock < min(row_locks), detail=str(sql_order))


def test_embed_touched_rejects_two_active_drafts_with_same_hash():
    """两个活跃 touched draft 当前文本同 hash 时必须失败关闭，禁止按循环顺序抢占唯一行。"""

    state = {
        "drafts": {
            801: {"payload": {"名称": "重复卡"}, "deleted": False},
            802: {"payload": {"名称": "重复卡"}, "deleted": False},
        },
        "embeddings": [],
    }
    embed_calls = []
    try:
        with patch.object(pu.psycopg, "connect", side_effect=lambda *_: _EmbeddingConn(state)), \
                patch.object(pu, "build_embed_text", return_value="完全相同文本"), \
                patch.object(
                    pu,
                    "embed_texts",
                    side_effect=lambda sess, texts: embed_calls.append(list(texts)) or ([[0.1], [0.1]], set()),
                ):
            pu.embed_touched_cards(object(), 8, {801, 802})
    except pu.EmbeddingOwnershipConflict:
        check("embed-duplicate-active-失败关闭", True)
    else:
        check("embed-duplicate-active-失败关闭", False, detail="同 hash 活跃 owner 冲突未抛硬错误")
    check("embed-duplicate-active-不调用嵌入不落错误owner", not embed_calls and not state["embeddings"])


def test_embed_touched_rejects_existing_active_hash_owner():
    """单个新候选撞到另一活跃 draft 的当前 hash 时，也不得迁移或复活成错误 owner。"""

    embed_text = "跨窗完全相同文本"
    content_hash = hashlib.sha256(f"{embed_text}|{pu.EMBED_MODEL}".encode()).hexdigest()
    state = {
        "drafts": {
            811: {"payload": {"名称": "重复卡"}, "deleted": False},
            812: {"payload": {"名称": "重复卡"}, "deleted": False},
        },
        "embeddings": [{
            "draft_id": 811,
            "content_hash": content_hash,
            "embed_text": embed_text,
            "model": pu.EMBED_MODEL,
            "dimensions": pu.EMBED_DIM,
            "embedding": "[0.2]",
            "deleted": False,
        }],
    }
    try:
        with patch.object(pu.psycopg, "connect", side_effect=lambda *_: _EmbeddingConn(state)), \
                patch.object(pu, "build_embed_text", return_value=embed_text), \
                patch.object(pu, "embed_texts", return_value=([[0.8]], set())):
            pu.embed_touched_cards(object(), 8, {812})
    except pu.EmbeddingOwnershipConflict:
        check("embed-existing-active-失败关闭", True)
    else:
        check("embed-existing-active-失败关闭", False, detail="已有活跃 owner 未阻断")
    check("embed-existing-active-owner保持不变",
          len(state["embeddings"]) == 1
          and state["embeddings"][0]["draft_id"] == 811
          and state["embeddings"][0]["deleted"] is False)
















def test_presence_chapter_normalization_boundaries():
    """归并卡与纯出场章号都必须接受数字字符串，并丢弃非数字值。"""

    check("presence-归并卡数字字符串", pu._int_chaps(["489", 490, "bad"]) == {489, 490})
    check("presence-纯出场数字字符串", pu._int_chaps(["491", " 492 ", None]) == {491, 492})


def test_run_pure_presence_rejects_external_state_and_revision_conflicts():
    """窗尾纯出场必须锁当前 draft；外部终态或 revision 漂移都不得覆盖 payload。"""

    original_payload = {
        "type": "character",
        "名称": "安若雪",
        "别名": [],
        "字段": {},
        "出场章": [],
        "_work_id": 8,
    }

    def fake_m3_json(prompt, model, need_keys, system=None):
        if need_keys == pu.OBSERVATION_MODEL_KEYS:
            return ({
                "新名字": [],
                "已知实体新信息": [],
            }, {})
        raise AssertionError(f"不应出现的离线模型调用：{need_keys}")

    for name, extra_state in (
            ("外部状态终态", {"draft_status": "confirmed"}),
            ("外部revision漂移", {"revisions": {701: 0}})):
        state = {
            "window_status": "pending",
            "payload": deepcopy(original_payload),
            **extra_state,
        }
        def drift_during_observe(prompt, model, need_keys, system=None):
            if need_keys == pu.OBSERVATION_MODEL_KEYS:
                if name == "外部revision漂移":
                    state["revisions"][701] += 1
                return fake_m3_json(prompt, model, need_keys, system)
            return fake_m3_json(prompt, model, need_keys, system)

        with patch.object(pu.psycopg, "connect", side_effect=lambda *_: _RunConn(state)), \
                patch.object(pu, "load_entity_contracts", return_value=_fake_contracts()), \
                patch.object(
                    pu,
                    "load_window_material",
                    return_value=("安若雪出现。", {70: "安若雪出现。", 71: "正文。"}),
                ), \
                patch.object(
                    pu,
                    "load_known",
                    return_value=({"安若雪": (701, "character", "旧摘要")}, {}, {701: set()}, {701: 0}),
                ), \
                patch.object(pu, "m3_json", side_effect=drift_during_observe), \
                patch.object(pu, "undo_window"):
            # 该 fake 专门验证外部状态漂移后的持久化，不验证 CLI 停止策略，因此显式保留旁路。
            pu._run(
                work_id=8,
                max_windows=0,
                max_calls=0,
                model="MiniMax-M3",
                redo_window=0,
                semantic_on=False,
                raise_on_second_failure=False,
                validate_window_input=False,
            )
        check(f"pure-presence-{name}-payload零覆盖", state["payload"] == original_payload)
        check(f"pure-presence-{name}-窗失败关闭", state["window_status"] == "failed")
        if name == "外部状态终态":
            check("pure-presence-终态在UPDATE前阻断", not state.get("draft_update_sql"))
        else:
            check(
                "pure-presence-模型期间revision变化在UPDATE前阻断",
                not state.get("draft_update_sql"),
                detail=str(state.get("draft_update_sql")),
            )


def test_run_presence_paths_accept_numeric_strings():
    """同卡横跨新信息与纯出场时，有无模型更新都只走一次实体写入并落全章节。"""

    def run_case(updates):
        state = {
            "window_status": "pending",
            "revisions": {701: 0},
            "payload": {
                "type": "character",
                "名称": "安若雪",
                "别名": [],
                "字段": {},
                "出场章": [],
                "_work_id": 8,
            },
        }

        def fake_m3_json(prompt, model, need_keys, system=None):
            if need_keys == pu.OBSERVATION_MODEL_KEYS:
                return ({
                    "新名字": [],
                    "已知实体新信息": [
                        {"名称": "安若雪", "型": "character", "观察点": "出现新变化", "出场章": ["70"]}
                    ],
                }, {})
            return ({"更新": deepcopy(updates)}, {})

        with patch.object(pu.psycopg, "connect", side_effect=lambda *_: _RunConn(state)), \
                patch.object(pu, "load_entity_contracts", return_value=_fake_contracts()), \
                patch.object(
                    pu,
                    "load_window_material",
                    return_value=("安若雪连续出现", {70: "安若雪出现新变化。", 71: "安若雪继续前进。"}),
                ), \
                patch.object(
                    pu,
                    "load_known",
                    return_value=({"安若雪": (701, "character", "旧摘要")}, {}, {}, {701: 0}),
                ), \
                patch.object(pu, "m3_json", side_effect=fake_m3_json), \
                patch.object(pu, "undo_window"), \
                patch.object(pu, "merge_card", wraps=pu.merge_card) as merge_mock, \
                patch.object(
                    pu, "_write_locked_upgrade_draft", wraps=pu._write_locked_upgrade_draft
                ) as write_mock:
            # 该 fake 的材料由 load_window_material 单独提供，显式跳过真实章域一致性校验。
            pu._run(8, 0, 0, "MiniMax-M3", 0, False, validate_window_input=False)
        return state, merge_mock.call_count, write_mock.call_count

    updated, merge_calls, write_calls = run_case([
        {"draft_id": 701, "变更字段": {"一句话摘要": "新摘要"}, "别名新增": []},
    ])
    check("run-presence-有更新时只写一次",
          merge_calls == 1 and write_calls == 1 and updated["revisions"][701] == 1,
          detail=f"merge={merge_calls}, write={write_calls}, state={updated}")
    check("run-presence-有更新时一次消费两数组章节",
          updated["window_status"] == "done" and updated["payload"]["出场章"] == [70, 71],
          detail=str(updated))

    unchanged, merge_calls, write_calls = run_case([])
    check("run-presence-无更新时由机械收尾写一次",
          merge_calls == 0 and write_calls == 1 and unchanged["revisions"][701] == 1,
          detail=f"merge={merge_calls}, write={write_calls}, state={unchanged}")
    check("run-presence-无更新时两数组章节仍落库",
          unchanged["window_status"] == "done" and unchanged["payload"]["出场章"] == [70, 71],
          detail=str(unchanged))


def test_load_known_projection():
    """判重底册只投影索引字段，禁止跨网搬运每张卡的完整 payload。"""

    class Result:
        def __init__(self, rows):
            self.rows = rows

        def fetchall(self):
            return self.rows

    class Conn:
        def __init__(self):
            self.queries = []

        def execute(self, query, params):
            self.queries.append(query)
            if "muse_knowledge_draft" in query:
                return Result([(1, "character", "安若雪", "联邦战士", [], 6)])
            if "example_upgrade_alias" in query:
                return Result([("安若雪", "雪姐")])
            return Result([("character", "李四", 7)])

    conn = Conn()
    name_map, presence, aliases_by_draft, revisions = pu.load_known(conn, 8)
    check("known-正名投影", name_map["安若雪"] == (1, "character", "联邦战士"))
    check("known-别名表投影", name_map["雪姐"] == name_map["安若雪"])
    check("known-按卡携带alias表独有别名", aliases_by_draft[1] == {"雪姐"})
    check("known-presence保留", presence[("character", "李四")] == {7})
    check("known-revision与模型底册同步捕获", revisions == {1: 6})
    first_query = conn.queries[0]
    check(
        "known-禁搬完整payload",
        "SELECT id, draft_payload FROM" not in first_query
        and "draft_payload->>'名称'" in first_query,
    )

    merge_conn = _CardConn(
        {
            "type": "character",
            "名称": "安若雪",
            "别名": [],
            "一句话摘要": "联邦战士",
            "字段": {},
            "出场章": [488],
            "_work_id": 8,
        }
    )
    pu.merge_card(
        merge_conn,
        1,
        84,
        {},
        [],
        chapter_texts={489: "雪姐已经抵达核心区。"},
        appearance_chapters=[489],
        known_aliases=aliases_by_draft[1],
    )
    check("known-alias表独有别名可供merge过滤", merge_conn.payload["出场章"] == [488, 489])

    pure_payload = {
        "名称": "安若雪",
        "别名": [],
        "出场章": [488],
    }
    pure_conn = _CardConn(pure_payload)
    changed = pu._append_verified_appearance_chapters(
        pure_conn,
        1,
        84,
        pure_payload,
        [489],
        {489: "雪姐已经抵达核心区。"},
        known_aliases=aliases_by_draft[1],
    )
    check(
        "known-alias表独有别名可供纯出场过滤",
        changed and pure_payload["出场章"] == [488, 489],
    )


def test_repair_milestone_evidence():
    """只修本窗缺证据里程碑；未来重抄项不能借修复调用混回卡体。"""

    output = {
        "更新": [
            {
                "draft_id": 1,
                "变更字段": {
                    "演变历程": [
                        {"章": 489, "台阶": "同步率飙至100%", "周期": "高光"},
                        {"章": 493, "台阶": "未来治疗事件", "周期": "高光"},
                    ]
                },
            }
        ]
    }
    chapter_texts = {488: "防线开启。", 489: "安若雪同步率飙至100%，击碎能量屏障。"}
    seen = {}

    def fake_call(prompt, required_keys):
        seen["prompt"] = prompt
        seen["required_keys"] = required_keys
        return (
            {
                "证据修复": [
                    {
                        "ref": "$.更新[0].变更字段.演变历程[0]",
                        "章": 489,
                        "证据": "同步率飙至100%，击碎能量屏障",
                    }
                ]
            },
            {},
        )

    repaired = pu.repair_missing_milestone_evidence(
        output,
        title="深空之影",
        a=488,
        b=489,
        text="## 第488章\n防线开启。\n## 第489章\n安若雪同步率飙至100%，击碎能量屏障。",
        chapter_texts=chapter_texts,
        call=fake_call,
    )
    milestones = output["更新"][0]["变更字段"]["演变历程"]
    check("repair-本窗证据补齐", repaired == 1 and "证据" in milestones[0])
    check("repair-未来重抄不送修复", "证据" not in milestones[1] and "未来治疗事件" not in seen["prompt"])
    check("repair-固定输出键", seen["required_keys"] == ("证据修复",))


class _IntegrityConn:
    """升格写入完整性内存库：模拟 draft 行锁、alias 唯一键、审计与水位撤销。"""

    def __init__(self, payload, *, status="pending", source_type=None, revision=4,
                 watermark=3, aliases=None):
        self.drafts = {
            701: {
                "payload": deepcopy(payload),
                "status": status,
                "source_type": source_type or pu.SOURCE_TYPE,
                "revision": revision,
                "deleted": False,
                "updater": "before",
            }
        }
        self.states = {} if watermark is None else {701: watermark}
        self.aliases = {
            alias: {
                "canonical_name": canonical,
                "evidence_window": evidence_window,
                "deleted": False,
            }
            for alias, (canonical, evidence_window) in (aliases or {}).items()
        }
        self.audits = []
        self.sql_order = []

    def execute(self, query, params=()):
        """按生产 SQL 的关键语义更新内存状态，任何未模拟读查询默认返回空集。"""
        normalized = " ".join(query.split())
        self.sql_order.append(normalized)
        if normalized.startswith(
                "SELECT draft_payload, status, revision, source_type FROM muse_knowledge_draft"):
            row = self.drafts.get(params[0])
            if not row or row["deleted"]:
                return _CardResult(None)
            return _CardResult((row["payload"], row["status"], row["revision"], row["source_type"]))
        if normalized.startswith("SELECT draft_payload FROM muse_knowledge_draft WHERE id=%s"):
            return _CardResult((self.drafts[params[0]]["payload"],))
        if normalized.startswith("SELECT watermark_window FROM example_upgrade_card_state"):
            watermark = self.states.get(params[0])
            return _CardResult((watermark,) if watermark is not None else None)
        if normalized.startswith("INSERT INTO example_upgrade_audit"):
            self.audits.append({
                "draft_id": params[0],
                "window_no": params[1],
                "field_name": params[2],
                "old_value": params[3],
                "new_value": params[4],
            })
            return _CardResult()
        if normalized.startswith("INSERT INTO example_upgrade_alias"):
            work_id, canonical_name, alias, evidence_window = params[:4]
            existing = self.aliases.get(alias)
            if existing is None:
                self.aliases[alias] = {
                    "canonical_name": canonical_name,
                    "evidence_window": evidence_window,
                    "deleted": False,
                }
                return _CardResult((canonical_name,))
            if existing["canonical_name"] == canonical_name and not existing.get("deleted", False):
                return _CardResult((canonical_name,))
            return _CardResult(None)
        if normalized.startswith("SELECT canonical_name, deleted FROM example_upgrade_alias"):
            existing = self.aliases.get(params[2])
            return _CardResult(
                (existing["canonical_name"], existing.get("deleted", False)) if existing else None
            )
        if normalized.startswith("UPDATE muse_knowledge_draft SET draft_payload=%s"):
            row = self.drafts[params[1]]
            if "RETURNING revision" in normalized:
                expected_revision = params[-1]
                if row["status"] != "pending" or row["source_type"] != pu.SOURCE_TYPE \
                        or row["revision"] != expected_revision or row["deleted"]:
                    return _CardResult(None)
                row["payload"] = json.loads(params[0])
                row["revision"] += 1
                if "updater='upgrade-undo'" in normalized:
                    row["updater"] = "upgrade-undo"
                return _CardResult((row["revision"],))
            row["payload"] = json.loads(params[0])
            if "revision=revision+1" in normalized:
                row["revision"] += 1
            if "updater='upgrade-undo'" in normalized:
                row["updater"] = "upgrade-undo"
            return _CardResult()
        if normalized.startswith("INSERT INTO example_upgrade_card_state"):
            draft_id, _, watermark = params[:3]
            if "SET watermark_window=EXCLUDED.watermark_window" in normalized:
                self.states[draft_id] = watermark
            else:
                self.states[draft_id] = max(self.states.get(draft_id, watermark), watermark)
            return _CardResult()
        if normalized.startswith("SELECT a.draft_id, a.field_name, a.old_value"):
            window_no = params[1]
            rows = [
                (audit["draft_id"], audit["field_name"], audit["old_value"])
                for audit in reversed(self.audits)
                if audit["window_no"] == window_no
            ]
            return _CardResult(rows=rows)
        if normalized.startswith("DELETE FROM example_upgrade_card_state"):
            self.states.pop(params[0], None)
            return _CardResult()
        if normalized.startswith("DELETE FROM example_upgrade_audit"):
            window_no = params[1]
            self.audits = [audit for audit in self.audits if audit["window_no"] != window_no]
            return _CardResult()
        if normalized.startswith("SELECT id, draft_payload FROM muse_knowledge_draft"):
            return _CardResult(rows=[
                (draft_id, row["payload"])
                for draft_id, row in self.drafts.items()
                if not row["deleted"]
            ])
        if normalized.startswith("DELETE FROM example_upgrade_alias"):
            evidence_window = params[2]
            self.aliases = {
                alias: row for alias, row in self.aliases.items()
                if row["evidence_window"] != evidence_window
            }
            return _CardResult()
        return _CardResult(rows=[])


def test_upgrade_writes_lock_current_draft_and_reject_invalid_state():
    """实体与关系写入必须锁后取当前值，并拒绝非 pending 或非 upgrade_book。"""
    current_payload = {
        "type": pu.RELATION_TYPE,
        "名称": "甲×乙",
        "关系类型": "盟友",
        "字段": {"当前状态": "数据库新值", "并发新增": "必须保留"},
        "_work_id": 8,
    }
    stale_payload = deepcopy(current_payload)
    stale_payload["字段"] = {"当前状态": "模型调用前旧值"}
    conn = _IntegrityConn(current_payload, revision=9)
    pu._update_relation_card(
        conn,
        8,
        8,
        701,
        9,
        {"关系类型": "盟友", "本窗演变": "继续合作", "其他字段": {"信任基础": "共同目标"}},
    )
    updated = conn.drafts[701]
    first_write = next(index for index, sql in enumerate(conn.sql_order)
                       if sql.startswith(("INSERT", "UPDATE", "DELETE")))
    lock_index = next(index for index, sql in enumerate(conn.sql_order)
                      if "FROM muse_knowledge_draft" in sql and "FOR UPDATE" in sql)
    check("write-lock-关系基于锁后当前payload", updated["payload"]["字段"]["并发新增"] == "必须保留")
    check("write-lock-先锁行后写入", lock_index < first_write, detail=str(conn.sql_order))
    check("write-lock-revision受保护只增一次", updated["revision"] == 10)

    guarded = _IntegrityConn(current_payload, revision=5)
    try:
        pu._write_locked_upgrade_draft(guarded, 701, current_payload, 4)
    except pu.UpgradeDraftWriteConflict:
        check("write-lock-过期revision失败关闭", True)
    else:
        check("write-lock-过期revision失败关闭", False, detail="过期 revision 被写入")
    check("write-lock-过期revision零覆盖", guarded.drafts[701]["revision"] == 5)

    for name, status, source_type in (
            ("非pending", "confirmed", pu.SOURCE_TYPE),
            ("非upgrade来源", "pending", "parse_book")):
        invalid = _IntegrityConn(
            {"type": "character", "名称": "安若雪", "字段": {}, "_work_id": 8},
            status=status,
            source_type=source_type,
        )
        try:
            pu.merge_card(invalid, 701, 8, {"阵营": "联邦"}, [])
        except pu.UpgradeDraftWriteConflict:
            check(f"write-lock-{name}失败关闭", True)
        else:
            check(f"write-lock-{name}失败关闭", False, detail="非法 draft 被写入")
        check(f"write-lock-{name}零写入", not invalid.audits and invalid.states == {701: 3})


def test_alias_claim_payload_undo_and_entity_watermark():
    """alias 不同 owner 必须拒绝；同 owner 幂等后 payload 与实体水位都可精确撤销。"""
    old_payload = {
        "type": "character",
        "名称": "安若雪",
        "一句话摘要": "旧摘要",
        "字段": {"阵营": "联邦"},
        "_work_id": 8,
    }
    conflict = _IntegrityConn(old_payload, aliases={"雪姐": ("另一人物", 2)})
    try:
        pu.merge_card(conflict, 701, 8, {}, ["雪姐"])
    except pu.AliasOwnershipConflict as exc:
        check("alias-不同canonical确定性失败", "雪姐" in str(exc))
    else:
        check("alias-不同canonical确定性失败", False, detail="唯一冲突被静默吞掉")
    check("alias-冲突不写payload", conflict.drafts[701]["payload"] == old_payload)

    conn = _IntegrityConn(old_payload, revision=6, watermark=3,
                          aliases={"雪姐": ("安若雪", 2)})
    pu.merge_card(conn, 701, 8, {"一句话摘要": "新摘要"}, ["雪姐"])
    check("alias-同canonical幂等后才写payload", conn.drafts[701]["payload"]["别名"] == ["雪姐"])
    check("alias-同canonical保留原证据窗", conn.aliases["雪姐"]["evidence_window"] == 2)
    watermark_audit = next(
        audit for audit in conn.audits
        if audit["field_name"] == pu.CARD_STATE_WATERMARK_AUDIT_FIELD
    )
    check("entity-watermark-审计完整旧值", json.loads(watermark_audit["old_value"]) == 3)
    check("entity-watermark-推进到本窗", conn.states[701] == 8)
    pu.undo_window(conn, 8, 8)
    check("alias-undo恢复顶层键缺失", conn.drafts[701]["payload"] == old_payload)
    check("entity-watermark-undo恢复旧值", conn.states[701] == 3)
    check("alias-undo不删旧窗同canonical映射", "雪姐" in conn.aliases)

    payload_with_empty_aliases = {**deepcopy(old_payload), "别名": []}
    fresh = _IntegrityConn(payload_with_empty_aliases, watermark=None)
    pu.merge_card(fresh, 701, 8, {}, ["若雪"])
    check("alias-新映射成功后写payload", fresh.drafts[701]["payload"]["别名"] == ["若雪"])
    pu.undo_window(fresh, 8, 8)
    check("alias-undo恢复顶层空列表", fresh.drafts[701]["payload"] == payload_with_empty_aliases)
    check("alias-undo删除本窗新映射", "若雪" not in fresh.aliases)
    check("entity-watermark-undo删除本窗新state", 701 not in fresh.states)


def test_undo_advances_revision_and_invalidates_precompensation_cas():
    """撤销恢复与新卡软删都推进 revision，使基于撤销前版本的外部 CAS 必然失败。"""

    old_payload = {
        "type": "character", "名称": "安若雪", "一句话摘要": "旧摘要",
        "字段": {}, "_work_id": 8,
    }
    conn = _IntegrityConn(old_payload, revision=4)
    pu.merge_card(
        conn, 701, 8, {"一句话摘要": "窗内摘要"}, [], expected_revision=4
    )
    stale_revision = conn.drafts[701]["revision"]
    stale_payload = deepcopy(conn.drafts[701]["payload"])
    pu.undo_window(conn, 8, 8)
    check("undo-revision-既有卡恢复后单调推进且标记updater",
          conn.drafts[701]["revision"] > stale_revision
          and conn.drafts[701]["updater"] == "upgrade-undo")
    try:
        pu._write_locked_upgrade_draft(conn, 701, stale_payload, stale_revision)
    except pu.UpgradeDraftWriteConflict:
        check("undo-revision-撤销前旧CAS失败", True)
    else:
        check("undo-revision-撤销前旧CAS失败", False, detail="旧 revision 仍写入成功")
    check("undo-revision-旧CAS不覆盖恢复payload", conn.drafts[701]["payload"] == old_payload)

    relation_conn = _RelationConn()
    new_payload = {
        "type": pu.RELATION_TYPE, "名称": "甲×乙", "甲方draft": 11, "乙方draft": 12,
        "关系类型": "盟友", "字段": {"演变轨迹": ["[窗8] 建立"]},
        "来源": "升格@窗8", "_work_id": 8,
    }
    new_id = pu._insert_relation_card(relation_conn, 8, 8, new_payload)
    before_delete_revision = relation_conn.drafts[new_id]["revision"]
    pu.undo_window(relation_conn, 8, 8)
    deleted = relation_conn.drafts[new_id]
    check("undo-revision-新卡软删revision单调且标记updater",
          deleted["deleted"] is True and deleted["revision"] > before_delete_revision
          and deleted["updater"] == "upgrade-undo")


# ── ⑥ 三个提示词含关键纪律语句（洞②登场必须 / 洞③≤40字 + 体系级 / 洞②归并去重）──
def test_prompts_disciplines():
    c = _fake_contracts()
    obs = pu.observe_prompt(c, "测试书", 1, 12, "正文占位", {"张三": (10, "character", "主角")})
    check("observe-登场必须硬约束", "必须给「演变历程」的首条登场里程碑" in obs)
    check("observe-台阶≤40字", "≤40 字" in obs)
    check("observe-体系级纪律", "体系级纪律" in obs)
    check("observe-里程碑要求原文证据", '"证据"' in obs and "正文原样连续短句" in obs)

    upd = pu.update_prompt(c, "测试书", 1, 12, "正文占位",
                           [(10, {"type": "power_system", "名称": "生物机甲"}, ["观察点"])])
    check("update-台阶≤40字", "≤40 字" in upd)
    check("update-体系级纪律", "体系级纪律" in upd)
    check("update-登场归并去重", "若本卡演变历程已有登场里程碑则不再重复追加" in upd)
    check("update-里程碑要求原文证据", '"证据"' in upd and "正文原样连续短句" in upd)

    rel = pu.relation_prompt(c, "测试书", 1, 12, "正文占位",
                             [(10, {"名称": "张三"}), (11, {"名称": "李四"})], [])
    check("relation-构造器可渲染", "人物关系增量" in rel)
    check("relation-同一无序人物对最多一条", "同一无序人物对最多一条" in rel)
    check("relation-多维关系必须合并不得拆条",
          "必须合并为一条综合记录" in rel
          and "不得按关系维度拆成多条" in rel)

    # 判重终判 prompt（小样校准后）：近邻六元组带字段摘选进证据 + 名称互含判据
    nbs = [(6223, "power_system", "生物机甲", "机甲体系", '{"境界阶梯":"IV代→V代"}', 0.66)]
    jp = pu.dedup_judge_prompt({"型": "power_system", "名称": "联邦生物机甲技术",
                                "一句话摘要": "s", "字段": {}}, nbs)
    check("judge-近邻字段摘选入证据", "字段摘选：" in jp and "境界阶梯" in jp)
    check("judge-名称互含判据", "同型且名称互含" in jp)
    check("judge-跨型禁判同一实体仍在", "绝不判同一实体" in jp)


# ── ⑦ 两阶段窗口事务：纯 hash/marker 合同与连接边界 ──
def _fence_fixture():
    """构造稳定的窗口输入与七域状态，供逐域漂移反例复用。"""

    window = {"id": 91, "window_no": 7, "from_chapter": 70, "to_chapter": 71, "deleted": False}
    chapters = [
        {
            "chapter_id": 7001,
            "order_no": 70,
            "title": "甲章",
            "status": "published",
            "revision": 3,
            "block_id": 7101,
            "block_order_no": 1,
            "block_type": "scene",
            "block_revision": 4,
            "content_text": "正文甲",
        },
        {
            "chapter_id": 7002,
            "order_no": 71,
            "title": "乙章",
            "status": "published",
            "revision": 5,
            "block_id": 7102,
            "block_order_no": 1,
            "block_type": "scene",
            "block_revision": 6,
            "content_text": "正文乙",
        },
    ]
    schemas = [("character", 11, {"字段": ["名称"]}), ("item", 12, {"字段": ["名称"]})]
    state = {
        "drafts": [(701, {"名称": "安若雪"}, "pending", 3, False)],
        "aliases": [(1, "雪姐", False)],
        "presence": [(2, 7, 70, "安若雪", False)],
        "card_state": [(701, 7)],
        "audits": [(3, 701, 7, "阵营", None, "联邦")],
        "windows": [(91, 7, 70, 71, False, "processing", "旧 marker")],
        "embeddings": [(4, "digest-a")],
    }
    return window, chapters, schemas, state


def test_window_fence_hashes_and_markers():
    """input/state hash 必须覆盖合同规定的全部漂移面，且 marker 只接受两个阶段。"""

    window, chapters, schemas, state = _fence_fixture()
    with patch.object(pu, "_script_sha256", return_value="a" * 64):
        input_sha = pu._window_input_sha(window, chapters, schemas, work_title="测试书")
    check("fence-input-sha256", len(input_sha) == 64)
    input_changes = [
        ("window-id", {**window, "id": 92}, chapters, schemas, "测试书", "a" * 64),
        ("window-no", {**window, "window_no": 8}, chapters, schemas, "测试书", "a" * 64),
        ("window-from", {**window, "from_chapter": 69}, chapters, schemas, "测试书", "a" * 64),
        ("window-to", {**window, "to_chapter": 72}, chapters, schemas, "测试书", "a" * 64),
        ("window-deleted", {**window, "deleted": True}, chapters, schemas, "测试书", "a" * 64),
        ("work-title", window, chapters, schemas, "标题漂移", "a" * 64),
        ("chapter-id", window, [{**chapters[0], "chapter_id": 9999}, chapters[1]], schemas, "测试书", "a" * 64),
        ("chapter-title", window, [{**chapters[0], "title": "标题漂移"}, chapters[1]], schemas, "测试书", "a" * 64),
        ("chapter-status", window, [{**chapters[0], "status": "draft"}, chapters[1]], schemas, "测试书", "a" * 64),
        ("chapter-revision", window, [{**chapters[0], "revision": 99}, chapters[1]], schemas, "测试书", "a" * 64),
        ("block-id", window, [{**chapters[0], "block_id": 9999}, chapters[1]], schemas, "测试书", "a" * 64),
        ("block-order", window, [{**chapters[0], "block_order_no": 2}, chapters[1]], schemas, "测试书", "a" * 64),
        ("block-type", window, [{**chapters[0], "block_type": "chapter"}, chapters[1]], schemas, "测试书", "a" * 64),
        ("block-revision", window, [{**chapters[0], "block_revision": 99}, chapters[1]], schemas, "测试书", "a" * 64),
        ("chapter-content", window, [{**chapters[0], "content_text": "正文漂移"}, chapters[1]], schemas, "测试书", "a" * 64),
        ("schema-version", window, chapters, [("character", 99, {"字段": ["名称"]})], "测试书", "a" * 64),
        ("schema-contract", window, chapters, [("character", 11, {"字段": ["名称", "别名"]})], "测试书", "a" * 64),
        ("script-sha", window, chapters, schemas, "测试书", "b" * 64),
    ]
    for name, changed_window, changed_chapters, changed_schemas, title, code_sha in input_changes:
        with patch.object(pu, "_script_sha256", return_value=code_sha):
            changed_sha = pu._window_input_sha(
                changed_window, changed_chapters, changed_schemas, work_title=title,
            )
        check(f"fence-input-{name}漂移", changed_sha != input_sha)

    state_sha = pu._window_state_sha(state, current_window_id=91)
    check("fence-state-sha256", len(state_sha) == 64)
    for domain in ("drafts", "aliases", "presence", "card_state", "audits", "windows", "embeddings"):
        changed = deepcopy(state)
        changed[domain] = deepcopy(changed[domain]) + [("漂移",)]
        check(f"fence-state-{domain}漂移", pu._window_state_sha(changed, 91) != state_sha)
    for name, changed_embedding in (
        ("元数据", (4, "digest-b")),
        ("向量摘要", (4, "digest-c")),
        ("行ID", (5, "digest-a")),
    ):
        changed = deepcopy(state)
        changed["embeddings"][0] = changed_embedding
        check(f"fence-state-embedding-{name}漂移", pu._window_state_sha(changed, 91) != state_sha)
    mutable = deepcopy(state)
    mutable["windows"][0] = (91, 7, 70, 71, False, "failed", "任意错误文本")
    check("fence-state-当前窗status-error不自引用", pu._window_state_sha(mutable, 91) == state_sha)

    for stage in ("entity", "relation"):
        marker = pu._upgrade_marker(stage, input_sha, state_sha)
        check(f"fence-marker-{stage}-往返", pu._parse_upgrade_marker(marker) == (stage, input_sha, state_sha))
    for invalid in (None, "", "upgrade-fence:v2:entity:a:b", "upgrade-fence:v1:batch:a:b",
                    "upgrade-fence:v1:entity:not-sha:not-sha"):
        try:
            pu._parse_upgrade_marker(invalid)
        except pu.CompensationFenceConflict:
            check(f"fence-marker-invalid-{invalid}", True)
        else:
            check(f"fence-marker-invalid-{invalid}", False, detail="非法 marker 被接受")


class _CaptureInputConn:
    """输入快照 fake：用于验证空章域和缺章域在送模前失败关闭。"""

    def __init__(self, rows):
        self.rows = rows

    def execute(self, query, params=()):
        normalized = " ".join(query.split())
        if normalized.startswith("SELECT id, window_no, from_chapter, to_chapter, deleted"):
            return _CardResult((91, 7, 70, 71, False))
        if normalized.startswith("SELECT title FROM muse_content_work"):
            return _CardResult(("测试书",))
        if normalized.startswith("SELECT c.id, c.order_no, c.title, c.status, c.revision"):
            return _CardResult(rows=self.rows)
        if normalized.startswith("SELECT s.schema_key, s.active_version_id"):
            return _CardResult(rows=[])
        return _CardResult()


def test_capture_window_input_rejects_incomplete_or_empty_content():
    """捕获阶段必须覆盖完整章域并保证每章拼接正文非空。"""

    for name, rows in (
        ("空章域", []),
        ("缺少一章", _offline_window_input_rows(70, 70)),
        ("正文为空", [*_offline_window_input_rows(70, 70), (*_offline_window_input_rows(71, 71)[0][:9], "")]),
    ):
        try:
            pu._capture_window_input(_CaptureInputConn(rows), 8, 7)
        except pu.CompensationFenceConflict:
            check(f"capture-{name}-失败关闭", True)
        else:
            check(f"capture-{name}-失败关闭", False, detail="不完整/空正文被送入模型")


class _CaptureStateConn:
    """窗口状态摘要 fake：按 SQL 中的 CASE 语义计算逐行摘要并记录绑定参数。"""

    def __init__(self, windows):
        self.windows = windows
        self.window_sql = None
        self.window_params = None

    def execute(self, query, params=()):
        normalized = " ".join(query.split())
        if normalized.startswith("SELECT w.id, encode(sha256(convert_to("):
            self.window_sql = normalized
            self.window_params = params
            uses_current_case = "CASE WHEN w.id=%s THEN" in normalized
            current_window_id = params[0] if uses_current_case else None
            rows = []
            for window in self.windows:
                payload = deepcopy(window)
                if uses_current_case and window["id"] == current_window_id:
                    payload.pop("status", None)
                    payload.pop("error_message", None)
                raw = json.dumps(payload, ensure_ascii=False, sort_keys=True, separators=(",", ":"))
                rows.append((window["id"], hashlib.sha256(raw.encode("utf-8")).hexdigest()))
            return _CardResult(rows=rows)
        return _CardResult(rows=[])


def test_capture_window_state_binds_current_window_and_preserves_other_status():
    """只有当前 marker 窗忽略 status/error，其他窗口的完整行变化必须使摘要漂移。"""

    base = [
        {"id": 91, "window_no": 7, "status": "processing", "error_message": "marker-a", "deleted": False},
        {"id": 92, "window_no": 8, "status": "pending", "error_message": None, "deleted": False},
    ]
    base_conn = _CaptureStateConn(base)
    base_state = pu._capture_window_state(base_conn, 8, 91)
    changed_current = deepcopy(base)
    changed_current[0].update(status="failed", error_message="marker-b")
    current_state = pu._capture_window_state(_CaptureStateConn(changed_current), 8, 91)
    check("state-当前窗status-error不改变摘要", current_state == base_state)
    check(
        "state-窗口SQL绑定current-window-id",
        base_conn.window_params[0] == 91
        and "CASE WHEN w.id=%s THEN" in base_conn.window_sql
        and "-'status'-'error_message'" in base_conn.window_sql,
        detail=f"sql={base_conn.window_sql}, params={base_conn.window_params}",
    )

    changed_other = deepcopy(base)
    changed_other[1].update(status="failed", error_message="other-window-error")
    other_state = pu._capture_window_state(_CaptureStateConn(changed_other), 8, 91)
    check("state-其他窗status-error改变摘要", other_state != base_state)
    check(
        "state-七域窗口查询仍只返回逐行id-sha",
        all(len(row) == 2 and len(row[1]) == 64 for row in base_state["windows"]),
    )
    check("state-窗口查询不回传to_jsonb整行", "SELECT to_jsonb(w)" not in base_conn.window_sql)


class _WindowMaterialConn:
    """正文材料 fake：记录排序 SQL，模拟多 block 章节返回。"""

    def __init__(self):
        self.sql = None

    def execute(self, query, params=()):
        self.sql = " ".join(query.split())
        return _CardResult(rows=[
            (70, "甲章", "block-1"),
            (70, "甲章", "block-2"),
            (71, "乙章", "block-1"),
        ])


def test_load_window_material_orders_blocks_like_capture_input():
    """材料加载必须按章号、block.order_no、block.id 与 input 捕获保持同序。"""

    conn = _WindowMaterialConn()
    pu.load_window_material(conn, 8, 70, 71)
    check(
        "material-多block排序与capture-input一致",
        "ORDER BY c.order_no, b2.order_no, b2.id" in conn.sql,
        detail=conn.sql,
    )


def test_run_defaults_enforce_safety_contract():
    """内部默认调用必须开启章域校验和二次失败异常，CLI 不应再提供旁路参数。"""

    defaults = pu._run.__kwdefaults__
    check("run-默认强制二次失败抛ClickException", defaults["raise_on_second_failure"] is True)
    check("run-默认强制窗口输入校验", defaults["validate_window_input"] is True)
    cli_source = inspect.getsource(pu.run.callback)
    check(
        "run-cli使用安全默认不显式旁路",
        "raise_on_second_failure" not in cli_source
        and "validate_window_input" not in cli_source,
        detail=cli_source,
    )


def test_two_phase_external_calls_and_atomic_embedding_contract():
    """外部调用期间连接必须为零；向量 apply 与 done 共用一个事务，失败不得放行。"""

    tracker = {"connections": 0, "external": [], "applied": [], "status": "processing"}

    def external(kind, value):
        tracker["external"].append((kind, tracker["connections"]))
        if value == "fail":
            raise RuntimeError("离线嵌入失败")
        return f"prepared:{value}"

    prepared = pu._call_external_without_connection(tracker, external, "observe", "entity")
    check("two-phase-observe零连接", prepared == "prepared:entity" and tracker["external"][-1] == ("observe", 0))
    prepared = pu._call_external_without_connection(tracker, external, "relation", "relation")
    check("two-phase-relation零连接", prepared == "prepared:relation" and tracker["external"][-1] == ("relation", 0))
    prepared = pu._call_external_without_connection(tracker, external, "embed", "vector")
    check("two-phase-embed零连接", prepared == "prepared:vector" and tracker["external"][-1] == ("embed", 0))
    try:
        pu._call_external_without_connection(tracker, external, "embed", "fail")
    except RuntimeError:
        check("two-phase-普通嵌入失败整窗失败", tracker["status"] == "processing")
    else:
        check("two-phase-普通嵌入失败整窗失败", False, detail="嵌入异常被放行")

    class AtomicConn:
        """最小事务感知 fake：未 commit 的向量与 done 必须一起回滚。"""

        def __init__(self):
            self.pending = []
            self.committed = []

        def apply_embedding(self, item):
            self.pending.append(("embedding", item))

        def mark_done(self):
            self.pending.append(("status", "done"))

        def commit(self):
            self.committed.extend(self.pending)
            self.pending.clear()

        def rollback(self):
            self.pending.clear()

    conn = AtomicConn()
    pu._apply_prepared_and_done(conn, ["v1"], apply_one=conn.apply_embedding, mark_done=conn.mark_done)
    check("two-phase-embed+done同事务", conn.committed == [("embedding", "v1"), ("status", "done")])
    broken = AtomicConn()
    try:
        pu._apply_prepared_and_done(
            broken, ["v1"],
            apply_one=lambda item: broken.apply_embedding(item) or (_ for _ in ()).throw(RuntimeError("crash")),
            mark_done=broken.mark_done,
        )
    except RuntimeError:
        broken.rollback()
    check("two-phase-crash不提交向量和done", broken.committed == [] and broken.pending == [])


def test_recovery_and_redo_rejection_contracts():
    """恢复判定与 redo 双入口零 DB 拒绝必须机械且确定。"""

    input_sha = "a" * 64
    state_sha = "b" * 64
    marker = pu._upgrade_marker("entity", input_sha, state_sha)
    check("recovery-exact允许undo", pu._recovery_decision(marker, input_sha, state_sha) == "undo")
    for name, current_input, current_state in (
            ("input", "c" * 64, state_sha),
            ("drafts", input_sha, "c" * 64),
            ("aliases", input_sha, "d" * 64),
            ("presence", input_sha, "e" * 64),
            ("card_state", input_sha, "f" * 64),
            ("audits", input_sha, "1" * 64),
            ("windows", input_sha, "2" * 64),
    ):
        check(
            f"recovery-{name}漂移补偿失败",
            pu._recovery_decision(marker, current_input, current_state) == "compensation-failed",
        )
    check(
        "recovery-非法marker补偿失败",
        pu._recovery_decision("broken", input_sha, state_sha) == "compensation-failed",
    )

    db_calls, lock_calls = [], []
    with patch.object(pu.psycopg, "connect", side_effect=lambda *_: db_calls.append(True)), \
            patch.object(
                pu,
                "upgrade_work_lock",
                side_effect=lambda *_: lock_calls.append(True) or nullcontext(),
            ):
        result = CliRunner().invoke(pu.cli, ["run", "--work-id", "8", "--redo-window", "7"])
    check(
        "redo-wrapper机械拒绝非零",
        result.exit_code != 0 and "backup" in result.output and "reset/rebuild" in result.output,
    )
    check("redo-wrapper拒绝发生在advisory与业务DB前", db_calls == [] and lock_calls == [])

    try:
        pu._run(8, 0, 0, "MiniMax-M3", 7, False)
    except pu.click.ClickException as exc:
        check("redo-run首行机械拒绝", "backup" in str(exc) and db_calls == [])
    else:
        check("redo-run首行机械拒绝", False, detail="_run 接受了 redo")


class _LegacyRecoveryConn:
    """恢复命令离线夹具：用安全墓碑及异常软删验证 SQL 过滤。"""

    def __init__(self, active_artifact=None, non_reset_deleted=None,
                 embedding_variant=None):
        self.window_status = "failed"
        self.window_error = "legacy parser error"
        self.active_artifact = active_artifact
        self.non_reset_deleted = non_reset_deleted
        self.drafts = [{
            "id": 701, "work_id": 8, "source_type": pu.SOURCE_TYPE,
            "origin": "升格@窗7", "deleted": True, "updater": "upgrade-reset",
            "status": "pending",
        }]
        self.aliases = [{"work_id": 8, "window_no": 7, "deleted": True,
                         "updater": "upgrade-reset"}]
        self.presence = []
        self.card_states = []
        self.audits = []
        self.embeddings = [{"draft_id": 701, "deleted": True, "entity_id": None}]
        if non_reset_deleted == "draft":
            self.drafts[0]["updater"] = "upgrade"
        elif non_reset_deleted == "draft-undo":
            self.drafts[0]["updater"] = "upgrade-undo"
        elif non_reset_deleted == "embedding-draft":
            self.drafts[0]["updater"] = "upgrade"
        elif non_reset_deleted == "embedding-draft-undo":
            self.drafts[0]["updater"] = "upgrade-undo"
        elif non_reset_deleted == "draft-status":
            self.drafts[0]["status"] = "confirmed"
        elif non_reset_deleted == "alias":
            self.aliases[0]["updater"] = "upgrade"
        elif non_reset_deleted == "alias-undo":
            self.aliases[0]["updater"] = "upgrade-undo"
        if active_artifact == "draft":
            self.drafts[0]["deleted"] = False
        elif active_artifact == "embedding":
            self.embeddings[0]["deleted"] = False
        elif active_artifact == "embedding-owner":
            self.embeddings[0]["entity_id"] = 9001
        elif active_artifact == "embedding-not-deleted":
            self.embeddings[0]["deleted"] = False
        elif active_artifact == "card_state":
            self.card_states.append({"draft_id": 701, "watermark_window": 7})
        elif active_artifact == "audit":
            self.audits.append({"draft_id": 701, "window_no": 7})
        elif active_artifact == "alias":
            self.aliases[0]["deleted"] = False
        elif active_artifact == "presence":
            self.presence.append({"work_id": 8, "window_no": 7, "deleted": False})
        elif active_artifact == "presence-deleted":
            self.presence.append({"work_id": 8, "window_no": 7, "deleted": True})
        self.processing_count = 0
        self.writes = []
        self.commits = 0
        self.queries = []

    def __enter__(self):
        return self

    def __exit__(self, exc_type, exc, tb):
        return False

    def execute(self, query, params=()):
        normalized = " ".join(query.split())
        self.queries.append(normalized)
        if normalized.startswith("SET TRANSACTION ISOLATION LEVEL REPEATABLE READ"):
            return _CardResult()
        if normalized.startswith("LOCK TABLE"):
            return _CardResult()
        if normalized.startswith("SELECT id, window_no, from_chapter, to_chapter, status, error_message, deleted"):
            return _CardResult((91, 7, 70, 71, self.window_status, self.window_error, False))
        if normalized.startswith("SELECT count(*) FROM example_upgrade_window"):
            return _CardResult((self.processing_count,))
        if normalized.startswith("SELECT count(*)"):
            if "example_upgrade_audit" in normalized:
                self._assert_artifact_sql("audits", normalized, "a.window_no=%s")
                if "deleted=FALSE" in normalized:
                    raise AssertionError("audit 计数不得依赖不存在的 deleted 列")
                return _CardResult((sum(row["window_no"] == 7 for row in self.audits),))
            if "example_upgrade_alias" in normalized:
                self._assert_artifact_sql(
                    "aliases", normalized, "a.deleted=TRUE", "a.updater = ANY(%s)",
                )
                allowed = self._allowed_tombstone_updaters(params)
                return _CardResult((sum(
                    row["work_id"] == 8 and row["window_no"] == 7
                    and not (row["deleted"] and row["updater"] in allowed)
                    for row in self.aliases
                ),))
            if "example_upgrade_presence" in normalized:
                self._assert_artifact_sql("presence", normalized, "p.window_no=%s")
                if "p.deleted" in normalized or "p.updater" in normalized:
                    raise AssertionError("presence 没有可证明 reset 来源的列，任何本窗行都必须阻断")
                return _CardResult((sum(
                    row["work_id"] == 8 and row["window_no"] == 7
                    for row in self.presence
                ),))
            if "example_knowledge_embedding" in normalized:
                self._assert_artifact_sql(
                    "embeddings", normalized, "e.entity_id IS NULL", "e.deleted=TRUE",
                    "d.deleted=TRUE", "d.updater = ANY(%s)", "d.status='pending'",
                )
                allowed = self._allowed_tombstone_updaters(params)
                return _CardResult((sum(
                    row["draft_id"] == 701 and not (
                        row["entity_id"] is None and row["deleted"]
                        and self.drafts[0]["deleted"]
                        and self.drafts[0]["updater"] in allowed
                        and self.drafts[0]["status"] == "pending"
                    )
                    for row in self.embeddings
                ),))
            if "example_upgrade_card_state" in normalized:
                self._assert_artifact_sql(
                    "card_state", normalized, "JOIN muse_knowledge_draft d ON d.id=s.draft_id",
                    "d.work_id=%s", "d.source_type=%s",
                )
                if "d.deleted=FALSE" in normalized:
                    raise AssertionError("card_state 计数不得豁免 deleted draft 关联行")
                return _CardResult((sum(
                    row["draft_id"] == 701 and row["watermark_window"] == 7
                    for row in self.card_states
                ),))
            if "muse_knowledge_draft" in normalized:
                self._assert_artifact_sql(
                    "new_cards", normalized, "d.deleted=TRUE", "d.updater = ANY(%s)",
                    "d.status='pending'",
                )
                allowed = self._allowed_tombstone_updaters(params)
                return _CardResult((sum(
                    row["work_id"] == 8 and row["source_type"] == pu.SOURCE_TYPE
                    and row["origin"] == "升格@窗7" and not (
                        row["deleted"] and row["updater"] in allowed
                        and row["status"] == "pending"
                    )
                    for row in self.drafts
                ),))
            return _CardResult((0,))
        if normalized.startswith("UPDATE example_upgrade_window"):
            self.writes.append((normalized, params))
            self.window_error = params[0]
            return _CardResult(("failed",))
        return _CardResult()

    def commit(self):
        self.commits += 1

    def _assert_artifact_sql(self, name, normalized, *required):
        """要求生产查询显式携带活跃语义，防止只把 fixture 计数改成零。"""

        missing = [fragment for fragment in required if fragment not in normalized]
        if missing:
            raise AssertionError(f"{name} 计数 SQL 缺少过滤条件：{missing}; sql={normalized}")

    @staticmethod
    def _allowed_tombstone_updaters(params):
        """从生产 SQL 的数组参数读取本次上下文允许的墓碑 updater。"""

        for value in params:
            if isinstance(value, list):
                return set(value)
        raise AssertionError(f"产物计数 SQL 未绑定 allowed_tombstone_updaters：params={params}")


class _CompensationConn(_LegacyRecoveryConn):
    """无 marker 普通补偿夹具，复用七域计数并显式保留窗口状态。"""

    def __init__(self, non_reset_deleted=None):
        super().__init__(non_reset_deleted=non_reset_deleted)
        self.window_status = "pending"
        self.window_error = None

    def execute(self, query, params=()):
        normalized = " ".join(query.split())
        if normalized.startswith("SELECT id, status, error_message FROM example_upgrade_window"):
            self.queries.append(normalized)
            return _CardResult((91, self.window_status, self.window_error))
        result = super().execute(query, params)
        if normalized.startswith("UPDATE example_upgrade_window SET status='failed'"):
            self.window_status = "failed"
        return result


def _compensation_baseline_fixture(non_reset_deleted="draft"):
    """构造含历史非 allowlist 墓碑的 attempt baseline 补偿夹具。"""

    conn = _CompensationConn(non_reset_deleted=non_reset_deleted)
    conn.input_snapshot = {"window": "baseline"}
    conn.state_snapshot = {
        "drafts": [(701, "draft-baseline")],
        "aliases": [(801, "alias-baseline")],
        "presence": [],
        "card_state": [],
        "audits": [],
        "windows": [{
            "id": 91,
            "window_no": 7,
            "from_chapter": 70,
            "to_chapter": 71,
            "status": "pending",
            "error_message": None,
            "updater": "upgrade",
        }],
        "embeddings": [(901, "embedding-baseline")],
    }

    def capture_input(current_conn, work_id, win_no):
        """返回夹具当前 input；测试通过修改 snapshot 模拟外部 input 漂移。"""

        return current_conn.input_snapshot, [], [], None

    def capture_state(current_conn, work_id, current_window_id):
        """返回夹具当前七域状态；测试通过修改 snapshot 模拟外部 state 漂移。"""

        return deepcopy(current_conn.state_snapshot)

    expected_input_sha = pu._window_input_sha(conn.input_snapshot, [], [], None)
    expected_state_sha = pu._window_state_sha(conn.state_snapshot, 91)
    expected_state_counts = pu._window_state_domain_counts(conn.state_snapshot)
    return (
        conn,
        capture_input,
        capture_state,
        expected_input_sha,
        expected_state_sha,
        expected_state_counts,
    )


def _run_baseline_compensation(conn, capture_input, capture_state,
                               expected_input_sha=None, expected_state_sha=None,
                               expected_state_counts=None, error="阶段异常"):
    """调用补偿入口，统一注入离线 input/state 捕获。"""

    kwargs = {}
    if expected_input_sha is not None:
        kwargs["expected_input_sha"] = expected_input_sha
    if expected_state_sha is not None:
        kwargs["expected_state_sha"] = expected_state_sha
    if expected_state_counts is not None:
        kwargs["expected_state_counts"] = expected_state_counts
    with patch.object(pu.psycopg, "connect", return_value=conn), \
            patch.object(pu, "_capture_window_input", side_effect=capture_input), \
            patch.object(pu, "_capture_window_state", side_effect=capture_state):
        return pu._compensate_window(8, 7, error, **kwargs)


def test_compensation_attempt_baseline_exact_allows_old_non_allowlist_tombstone():
    """本次 attempt 零漂移时，历史非 allowlist 软删不应阻断 retryable-clean。"""

    (conn, capture_input, capture_state, expected_input_sha,
     expected_state_sha, expected_state_counts) = _compensation_baseline_fixture()
    _run_baseline_compensation(
        conn,
        capture_input,
        capture_state,
        expected_input_sha,
        expected_state_sha,
        expected_state_counts,
        error="本次 attempt 外部调用异常",
    )
    check(
        "compensation-baseline-exact-旧非allowlist墓碑可retry",
        conn.window_status == "failed"
        and str(conn.window_error).startswith(pu.RETRYABLE_CLEAN_PREFIX)
        and pu.COMPENSATION_FAILED_PREFIX not in str(conn.window_error),
        detail=str(conn.window_error),
    )


def test_compensation_attempt_baseline_input_drift_blocks():
    """attempt baseline 的 input 漂移必须失败关闭，不能套用历史墓碑豁免。"""

    (conn, capture_input, capture_state, expected_input_sha,
     expected_state_sha, expected_state_counts) = _compensation_baseline_fixture()
    conn.input_snapshot = {"window": "input-drift"}
    try:
        _run_baseline_compensation(
            conn,
            capture_input,
            capture_state,
            expected_input_sha,
            expected_state_sha,
            expected_state_counts,
            error="input 漂移异常",
        )
    except pu.CompensationFenceConflict:
        pass
    else:
        check("compensation-baseline-input-漂移阻断", False, detail="未抛出 CompensationFenceConflict")
    check(
        "compensation-baseline-input-漂移持久failed",
        conn.window_status == "failed"
        and str(conn.window_error).startswith(pu.COMPENSATION_FAILED_PREFIX),
        detail=str(conn.window_error),
    )


def test_compensation_attempt_baseline_state_drift_blocks():
    """attempt baseline 的七域 state 漂移必须失败关闭。"""

    (conn, capture_input, capture_state, expected_input_sha,
     expected_state_sha, expected_state_counts) = _compensation_baseline_fixture()
    conn.state_snapshot["drafts"].append((702, "state-drift"))
    try:
        _run_baseline_compensation(
            conn,
            capture_input,
            capture_state,
            expected_input_sha,
            expected_state_sha,
            expected_state_counts,
            error="state 漂移异常",
        )
    except pu.CompensationFenceConflict:
        pass
    else:
        check("compensation-baseline-state-漂移阻断", False, detail="未抛出 CompensationFenceConflict")
    check(
        "compensation-baseline-state-漂移持久failed",
        conn.window_status == "failed"
        and str(conn.window_error).startswith(pu.COMPENSATION_FAILED_PREFIX),
        detail=str(conn.window_error),
    )


def test_compensation_without_attempt_baseline_keeps_strict_tombstone_rule():
    """没有完整 baseline 时继续按旧规则阻断非 allowlist 墓碑。"""

    conn = _CompensationConn(non_reset_deleted="draft")
    try:
        _run_baseline_compensation(conn, None, None, error="缺少 baseline")
    except pu.CompensationFenceConflict:
        pass
    else:
        check("compensation-no-baseline-严格墓碑阻断", False, detail="未抛出 CompensationFenceConflict")
    check(
        "compensation-no-baseline-持久compensation-failed",
        conn.window_status == "failed"
        and str(conn.window_error).startswith(pu.COMPENSATION_FAILED_PREFIX),
        detail=str(conn.window_error),
    )


def test_compensation_failed_preserves_original_error_and_artifact_counts():
    """baseline 漂移的 failed 断点要保留原异常、input/state 对比和产物计数。"""

    (conn, capture_input, capture_state, expected_input_sha,
     expected_state_sha, expected_state_counts) = _compensation_baseline_fixture()
    conn.state_snapshot["aliases"].append((802, "artifact-drift"))
    original_error = "原始 LLM 异常：应保留"
    current_input_sha = pu._window_input_sha(conn.input_snapshot, [], [], None)
    current_state_sha = pu._window_state_sha(conn.state_snapshot, 91)
    try:
        _run_baseline_compensation(
            conn,
            capture_input,
            capture_state,
            expected_input_sha,
            expected_state_sha,
            expected_state_counts,
            error=original_error,
        )
    except pu.CompensationFenceConflict:
        pass
    else:
        check("compensation-failed-证据保留阻断", False, detail="未抛出 CompensationFenceConflict")
    message = str(conn.window_error)
    check(
        "compensation-failed-保留原异常",
        original_error in message,
        detail=message,
    )
    check(
        "compensation-failed-保留input-state对比",
        expected_input_sha in message
        and current_input_sha in message
        and expected_state_sha in message
        and current_state_sha in message,
        detail=message,
    )
    check(
        "compensation-failed-保留artifact-counts",
        "artifact_counts=" in message and "new_cards" in message,
        detail=message,
    )


def test_compensation_tombstone_domains_are_separate():
    """普通补偿只放行 alias/embedding/new_card 的 upgrade-undo 墓碑，其余产物仍阻断。"""

    for tombstone in ("draft-undo", "alias-undo", "embedding-draft-undo"):
        clean = _CompensationConn(non_reset_deleted=tombstone)
        with patch.object(pu.psycopg, "connect", return_value=clean):
            pu._compensate_window(8, 7, "普通阶段失败")
        check(
            f"compensation-{tombstone}-upgrade-undo墓碑放行",
            clean.window_status == "failed"
            and str(clean.window_error).startswith(pu.RETRYABLE_CLEAN_PREFIX)
            and pu.COMPENSATION_FAILED_PREFIX not in str(clean.window_error),
            detail=str(clean.window_error),
        )

    for artifact, row in (
            ("presence", {"work_id": 8, "window_no": 7, "updater": "upgrade-undo"}),
            ("card_state", {"draft_id": 701, "watermark_window": 7, "updater": "upgrade-undo"}),
            ("audit", {"draft_id": 701, "window_no": 7, "updater": "upgrade-undo"}),
    ):
        blocked = _CompensationConn()
        getattr(blocked, {
            "presence": "presence",
            "card_state": "card_states",
            "audit": "audits",
        }[artifact]).append(row)
        with patch.object(pu.psycopg, "connect", return_value=blocked):
            try:
                pu._compensate_window(8, 7, "普通阶段失败")
            except pu.CompensationFenceConflict:
                pass
            else:
                check(f"compensation-{artifact}-看似undo仍阻断", False,
                      detail="未抛 CompensationFenceConflict")
        check(
            f"compensation-{artifact}-看似undo持久compensation-failed",
            blocked.window_status == "failed"
            and str(blocked.window_error).startswith(pu.COMPENSATION_FAILED_PREFIX),
            detail=str(blocked.window_error),
        )

    invalid = _CompensationConn()
    try:
        pu._window_artifact_counts(invalid, 8, 7, ("upgrade",))
    except ValueError as exc:
        check("compensation-非allowlist-updater拒绝", "不允许" in str(exc), detail=str(exc))
    else:
        check("compensation-非allowlist-updater拒绝", False,
              detail="非 allowlist updater 被接受")
    check("compensation-非法updater拒绝不查库", invalid.queries == [], detail=str(invalid.queries))


def test_recover_legacy_failed_cli_contract():
    """legacy failed 只允许清理副作用为零的窗口，只有安全 reset 墓碑可豁免。"""

    help_result = CliRunner().invoke(pu.maintenance_cli, ["recover-legacy-failed", "--help"])
    check(
        "recover-legacy-failed-help",
        help_result.exit_code == 0
        and "preview" in help_result.output
        and "execute" in help_result.output
        and "confirmation-sha" in help_result.output
        and "confirm-no-live-process" in help_result.output,
        detail=help_result.output,
    )

    conn = _LegacyRecoveryConn()
    with patch.object(pu.psycopg, "connect", return_value=conn):
        preview = CliRunner().invoke(
            pu.maintenance_cli, ["recover-legacy-failed", "--work-id", "8", "--window-no", "7", "--preview"]
        )
    check("recover-legacy-failed-preview成功", preview.exit_code == 0, detail=preview.output)
    preview_data = json.loads(preview.output)
    check("recover-legacy-failed-preview六类产物与processing",
          set(preview_data["artifact_counts"]) == {
              "audits", "aliases", "presence", "new_cards", "card_state", "embeddings",
          } and preview_data["artifact_counts"] == {
              "audits": 0, "aliases": 0, "presence": 0,
              "new_cards": 0, "card_state": 0, "embeddings": 0,
          } and preview_data["processing_count"] == 0
          and preview_data["window"]["status"] == "failed", detail=preview.output)
    check("recover-legacy-failed-preview零副作用", conn.writes == [] and conn.commits == 0)
    check(
        "recover-legacy-failed-preview首条事务语句是RR只读",
        conn.queries[0] == "SET TRANSACTION ISOLATION LEVEL REPEATABLE READ, READ ONLY",
        detail=str(conn.queries),
    )

    with patch.object(pu.psycopg, "connect", return_value=conn), \
            patch.object(pu, "upgrade_work_lock", return_value=nullcontext()):
        execute = CliRunner().invoke(
            pu.maintenance_cli,
            [
                "recover-legacy-failed", "--work-id", "8", "--window-no", "7", "--execute",
                "--confirmation-sha", preview_data["confirmation_sha"],
                "--confirm-no-live-process",
            ],
        )
    check("recover-legacy-failed-execute成功", execute.exit_code == 0, detail=execute.output)
    check(
        "recover-legacy-failed-execute保持failed并标retryable-clean",
        conn.window_status == "failed" and conn.window_error.startswith(pu.RETRYABLE_CLEAN_PREFIX),
        detail=conn.window_error,
    )

    drift_conn = _LegacyRecoveryConn()
    drift_conn.processing_count = 1
    with patch.object(pu.psycopg, "connect", return_value=drift_conn), \
            patch.object(pu, "upgrade_work_lock", return_value=nullcontext()):
        drift = CliRunner().invoke(
            pu.maintenance_cli,
            [
                "recover-legacy-failed", "--work-id", "8", "--window-no", "7", "--execute",
                "--confirmation-sha", preview_data["confirmation_sha"],
                "--confirm-no-live-process",
            ],
        )
    check("recover-legacy-failed-漂移非零", drift.exit_code != 0, detail=drift.output)
    check("recover-legacy-failed-漂移零副作用", drift_conn.writes == [] and drift_conn.commits == 0)

    for artifact in ("draft", "embedding", "alias", "presence", "card_state", "audit"):
        active_conn = _LegacyRecoveryConn(active_artifact=artifact)
        with patch.object(pu.psycopg, "connect", return_value=active_conn):
            active_preview = CliRunner().invoke(
                pu.maintenance_cli, ["recover-legacy-failed", "--work-id", "8", "--window-no", "7", "--preview"]
            )
        active_data = json.loads(active_preview.output)
        check(
            f"recover-legacy-failed-active-{artifact}-preview非零",
            active_preview.exit_code == 0 and active_data["artifact_counts"][{
                "draft": "new_cards",
                "embedding": "embeddings",
                "alias": "aliases",
                "presence": "presence",
                "card_state": "card_state",
                "audit": "audits",
            }[artifact]] > 0,
            detail=active_preview.output,
        )
        with patch.object(pu.psycopg, "connect", return_value=active_conn), \
                patch.object(pu, "upgrade_work_lock", return_value=nullcontext()):
            active_execute = CliRunner().invoke(
                pu.maintenance_cli,
                [
                    "recover-legacy-failed", "--work-id", "8", "--window-no", "7", "--execute",
                    "--confirmation-sha", active_data["confirmation_sha"],
                    "--confirm-no-live-process",
                ],
            )
        check(
            f"recover-legacy-failed-active-{artifact}-execute拒绝",
            active_execute.exit_code != 0 and active_conn.writes == [] and active_conn.commits == 0,
            detail=active_execute.output,
        )

    for artifact in ("draft", "embedding-draft", "draft-status", "alias"):
        non_reset_conn = _LegacyRecoveryConn(non_reset_deleted=artifact)
        with patch.object(pu.psycopg, "connect", return_value=non_reset_conn):
            non_reset_preview = CliRunner().invoke(
                pu.maintenance_cli, ["recover-legacy-failed", "--work-id", "8", "--window-no", "7", "--preview"]
            )
        non_reset_data = json.loads(non_reset_preview.output)
        key = {"draft": "new_cards", "embedding-draft": "embeddings",
               "draft-status": "new_cards",
               "alias": "aliases"}[artifact]
        check(
            f"recover-legacy-failed-non-reset-{artifact}-阻断",
            non_reset_preview.exit_code == 0 and non_reset_data["artifact_counts"][key] > 0,
            detail=non_reset_preview.output,
        )

    for artifact in ("draft-undo", "embedding-draft-undo", "alias-undo"):
        undo_conn = _LegacyRecoveryConn(non_reset_deleted=artifact)
        with patch.object(pu.psycopg, "connect", return_value=undo_conn):
            undo_preview = CliRunner().invoke(
                pu.maintenance_cli, ["recover-legacy-failed", "--work-id", "8", "--window-no", "7", "--preview"]
            )
        undo_data = json.loads(undo_preview.output)
        key = {"draft-undo": "new_cards", "embedding-draft-undo": "embeddings",
               "alias-undo": "aliases"}[artifact]
        check(
            f"recover-legacy-failed-{artifact}-默认仍阻断",
            undo_preview.exit_code == 0 and undo_data["artifact_counts"][key] > 0,
            detail=undo_preview.output,
        )

    deleted_presence_conn = _LegacyRecoveryConn(active_artifact="presence-deleted")
    with patch.object(pu.psycopg, "connect", return_value=deleted_presence_conn):
        deleted_presence_preview = CliRunner().invoke(
            pu.maintenance_cli, ["recover-legacy-failed", "--work-id", "8", "--window-no", "7", "--preview"]
        )
    deleted_presence_data = json.loads(deleted_presence_preview.output)
    check(
        "recover-legacy-failed-deleted-presence-仍阻断",
        deleted_presence_preview.exit_code == 0
        and deleted_presence_data["artifact_counts"]["presence"] > 0,
        detail=deleted_presence_preview.output,
    )

    for artifact in ("embedding-owner", "embedding-not-deleted"):
        embedding_conn = _LegacyRecoveryConn(active_artifact=artifact)
        with patch.object(pu.psycopg, "connect", return_value=embedding_conn):
            embedding_preview = CliRunner().invoke(
                pu.maintenance_cli, ["recover-legacy-failed", "--work-id", "8", "--window-no", "7", "--preview"]
            )
        embedding_data = json.loads(embedding_preview.output)
        check(
            f"recover-legacy-failed-{artifact}-阻断",
            embedding_preview.exit_code == 0
            and embedding_data["artifact_counts"]["embeddings"] > 0,
            detail=embedding_preview.output,
        )


class _QualityRepairConn:
    """单卡质量修复 fake DB：只实现该命令的读快照、CAS 和 embedding 写 SQL。"""

    def __init__(self, state):
        self.state = state

    def __enter__(self):
        return self

    def __exit__(self, exc_type, exc, tb):
        return False

    def execute(self, query, params=()):
        normalized = " ".join(query.split())
        self.state.setdefault("queries", []).append(normalized)
        if normalized.startswith("SET TRANSACTION") or normalized.startswith("LOCK TABLE"):
            return _CardResult()
        if normalized.startswith(
                "SELECT work_id, draft_payload, status, revision, source_type, updater, deleted"):
            draft = self.state["draft"]
            return _CardResult((
                draft["work_id"], draft["payload"], draft["status"], draft["revision"],
                draft["source_type"], draft["updater"], draft["deleted"],
            ))
        if normalized.startswith(
                "SELECT id, draft_id, content_hash, embed_text, model, dimensions, embedding,"):
            rows = [
                (
                    row["id"], row["draft_id"], row["content_hash"], row["embed_text"],
                    row["model"], row["dimensions"], row["embedding"], row.get("entity_id"),
                    row["deleted"],
                )
                for row in sorted(self.state["embeddings"], key=lambda item: item["id"])
                if row["draft_id"] == params[1]
            ]
            return _CardResult(rows=rows)
        if normalized.startswith("SELECT id, canonical_name, alias, evidence_window"):
            rows = [
                row for row in self.state["aliases"]
                if row[0] == params[2] or row[1] == params[3] or row[2] == params[4]
            ]
            return _CardResult(rows=rows)
        if normalized.startswith("SELECT id, window_no, chapter_no, entity_type, name, observation"):
            return _CardResult(rows=[row for row in self.state["presence"] if row[4] == params[2]])
        if normalized.startswith("SELECT draft_id, work_id, watermark_window, tenant_id"):
            return _CardResult(rows=list(self.state["card_state"]))
        if normalized.startswith("SELECT id, content_hash, entity_id FROM example_knowledge_embedding"):
            rows = [
                (row["id"], row["content_hash"], row.get("entity_id"))
                for row in self.state["embeddings"]
                if row["draft_id"] == params[1] and not row["deleted"]
            ]
            return _CardResult(rows=rows)
        if normalized.startswith("SELECT e.draft_id, e.entity_id, e.deleted"):
            content_hash = params[1]
            row = next(
                (
                    item for item in self.state["embeddings"]
                    if item["content_hash"] == content_hash and item["model"] == pu.EMBED_MODEL
                ),
                None,
            )
            if row is None:
                return _CardResult()
            owner = self.state["draft"] if row["draft_id"] == pu.QUALITY_REPAIR_DRAFT_ID else None
            return _CardResult((
                row["draft_id"], row.get("entity_id"), row["deleted"],
                owner["deleted"] if owner else True,
                owner["payload"] if owner else None,
            ))
        if normalized.startswith("UPDATE muse_knowledge_draft SET draft_payload=%s"):
            draft = self.state["draft"]
            if draft["revision"] != params[6]:
                return _CardResult()
            draft["payload"] = json.loads(params[0])
            draft["revision"] += 1
            draft["updater"] = params[1]
            self.state["writes"].append("UPDATE muse_knowledge_draft")
            return _CardResult((draft["revision"],))
        if normalized.startswith("UPDATE example_knowledge_embedding SET deleted=TRUE"):
            _, tenant_id, draft_id, keep_hash = params
            assert tenant_id == pu.TENANT
            for row in self.state["embeddings"]:
                if row["draft_id"] == draft_id and not row["deleted"] \
                        and row.get("entity_id") is None and row["content_hash"] != keep_hash:
                    row["deleted"] = True
            self.state["writes"].append("UPDATE example_knowledge_embedding")
            return _CardResult()
        if normalized.startswith("INSERT INTO example_knowledge_embedding"):
            (
                draft_id, content_hash, embed_text, model, dimensions, embedding,
                creator, updater, tenant_id,
            ) = params
            assert tenant_id == pu.TENANT
            existing = next(
                (
                    row for row in self.state["embeddings"]
                    if row["content_hash"] == content_hash and row["model"] == model
                ),
                None,
            )
            if existing is not None and existing.get("entity_id") is not None:
                return _CardResult()
            if existing is None:
                existing = {
                    "id": max((row["id"] for row in self.state["embeddings"]), default=41253) + 1,
                    "entity_id": None,
                }
                self.state["embeddings"].append(existing)
            existing.update({
                "draft_id": draft_id,
                "content_hash": content_hash,
                "embed_text": embed_text,
                "model": model,
                "dimensions": dimensions,
                "embedding": embedding,
                "deleted": False,
                "creator": creator,
                "updater": updater,
            })
            self.state["writes"].append("INSERT example_knowledge_embedding")
            return _CardResult((draft_id,))
        raise AssertionError(f"质量修复 fake DB 未覆盖 SQL：{normalized}")

    def commit(self):
        self.state["commits"] += 1


def _quality_repair_old_payload():
    """构造与已核实 work8 快照同形、但仍为 item 的旧 payload。"""

    return {
        "type": "item",
        "名称": pu.QUALITY_REPAIR_NAME,
        "别名": [],
        "一句话摘要": "天启神国主星相关物件。",
        "字段": {
            "类别": "兵器",
            "品阶": "要塞级",
            "来历": "天启神国主星",
            "能力与限制": "镜面护盾和主炮",
            "当前持有者": "天启神国",
            "知情范围": "天启神国",
            "流转计划": "未知",
            "演变历程": [{"章": 566, "台阶": "物件登场", "周期": "登场"}],
            "演变概括": "已有物件记录",
            "前身": "",
            "后继": "",
        },
        "出场章": list(pu.QUALITY_REPAIR_OLD_APPEARANCES),
        "来源": "升格@窗109",
        "状态": "草稿",
        "目标库": "本书作品库",
        "可见范围": "本书私有",
        "_work_id": pu.QUALITY_REPAIR_WORK_ID,
    }


def _quality_repair_state():
    payload = _quality_repair_old_payload()
    embed_text = pu.build_embed_text(payload)
    content_hash = hashlib.sha256(f"{embed_text}|{pu.EMBED_MODEL}".encode()).hexdigest()
    return {
        "draft": {
            "work_id": pu.QUALITY_REPAIR_WORK_ID,
            "payload": payload,
            "status": "pending",
            "revision": 6,
            "source_type": pu.SOURCE_TYPE,
            "deleted": False,
            "updater": "upgrade",
        },
        "embeddings": [{
            "id": 41253,
            "draft_id": pu.QUALITY_REPAIR_DRAFT_ID,
            "content_hash": content_hash,
            "embed_text": embed_text,
            "model": pu.EMBED_MODEL,
            "dimensions": pu.EMBED_DIM,
            "embedding": json.dumps([0.1] * pu.EMBED_DIM),
            "entity_id": None,
            "deleted": False,
        }],
        "aliases": [
            (pu.QUALITY_REPAIR_REVOKED_ALIAS_ID, pu.QUALITY_REPAIR_ALIAS_CANONICAL,
             pu.QUALITY_REPAIR_ALIAS_VALUE, pu.QUALITY_REPAIR_ALIAS_EVIDENCE_WINDOW,
             pu.QUALITY_REPAIR_ALIAS_VERDICT_BY,
             pu.QUALITY_REPAIR_REVOKED_ALIAS_UPDATER, True),
        ],
        "presence": [
            (pu.QUALITY_REPAIR_PRESENCE_ID, pu.QUALITY_REPAIR_PRESENCE_WINDOW,
             pu.QUALITY_REPAIR_PRESENCE_CHAPTER, "location", pu.QUALITY_REPAIR_NAME,
             pu.QUALITY_REPAIR_PRESENCE_OBSERVATION, False),
        ],
        "card_state": [
            (pu.QUALITY_REPAIR_DRAFT_ID, pu.QUALITY_REPAIR_WORK_ID,
             pu.QUALITY_REPAIR_CARD_WATERMARK, pu.TENANT),
        ],
        "writes": [],
        "queries": [],
        "commits": 0,
    }


def _quality_repair_preview(state):
    conn = _QualityRepairConn(state)
    with patch.object(pu.psycopg, "connect", return_value=conn):
        result = CliRunner().invoke(
            pu.maintenance_cli,
            [
                "repair-card-quality", "--work-id", "8", "--draft-id", "25360",
                "--preview",
            ],
        )
    check("quality-repair-preview成功", result.exit_code == 0, detail=result.output)
    data = json.loads(result.output)
    check("quality-repair-preview只读", state["writes"] == [] and state["commits"] == 0)
    check(
        "quality-repair-preview使用RR只读",
        state["queries"][0] == "SET TRANSACTION ISOLATION LEVEL REPEATABLE READ, READ ONLY",
        detail=str(state["queries"]),
    )
    return data


def test_quality_repair_payload_mapping():
    state = _quality_repair_state()
    target = pu._quality_repair_target_payload(
        state["draft"]["payload"], pu.QUALITY_REPAIR_WORK_ID, pu.QUALITY_REPAIR_DRAFT_ID,
    )
    check("quality-repair-类型改为location", target["type"] == "location")
    check(
        "quality-repair-只保留location字段",
        set(target["字段"]) == pu.QUALITY_REPAIR_LOCATION_FIELDS
        and not (set(target["字段"]) & {"类别", "品阶", "当前持有者", "能力与限制"}),
    )
    milestones = target["字段"]["演变历程"]
    check(
        "quality-repair-演变保留403并加入已核实高光",
        [item["章"] for item in milestones] == [403, 566, 587]
        and target["出场章"] == sorted(set(pu.QUALITY_REPAIR_OLD_APPEARANCES) | {403}),
    )


def test_quality_repair_preview_contract():
    data = _quality_repair_preview(_quality_repair_state())
    check(
        "quality-repair-preview摘要完整",
        data["mode"] == "preview"
        and data["work_id"] == 8
        and data["draft_id"] == 25360
        and data["old_revision"] == 6
        and data["new_revision"] is None
        and data["old_embedding_id"] == 41253
        and data["presence_id"] == 10879
        and data["revoked_alias_id"] == 8738
        and data["card_state_watermark"] == 109
        and data["audit_rows_written"] == 0
        and isinstance(data["confirmation_sha"], str)
        and len(data["confirmation_sha"]) == 64,
        detail=json.dumps(data, ensure_ascii=False),
    )
    check(
        "quality-repair-preview目标payload可审查",
        data["target_payload"]["type"] == "location"
        and set(data["target_payload"]["字段"]) == pu.QUALITY_REPAIR_LOCATION_FIELDS,
    )


def test_quality_repair_execute_atomically_updates_payload_and_embedding():
    preview_state = _quality_repair_state()
    preview = _quality_repair_preview(preview_state)
    execute_state = _quality_repair_state()
    conn = _QualityRepairConn(execute_state)
    with patch.object(pu.psycopg, "connect", return_value=conn), \
            patch.object(pu, "upgrade_work_lock", return_value=nullcontext()), \
            patch.object(pu, "_embed_session", return_value=object()), \
            patch.object(pu, "embed_texts", return_value=([[0.9] * pu.EMBED_DIM], set())):
        result = CliRunner().invoke(
            pu.maintenance_cli,
            [
                "repair-card-quality", "--work-id", "8", "--draft-id", "25360",
                "--execute", "--confirmation-sha", preview["confirmation_sha"],
                "--confirm-no-live-process",
            ],
        )
    check("quality-repair-execute成功", result.exit_code == 0, detail=result.output)
    output = json.loads(result.output)
    active = [row for row in execute_state["embeddings"] if not row["deleted"]]
    check(
        "quality-repair-execute-draft-CAS递增",
        execute_state["draft"]["payload"]["type"] == "location"
        and execute_state["draft"]["revision"] == 7
        and execute_state["draft"]["updater"] == pu.QUALITY_REPAIR_UPDATER
        and output["new_revision"] == 7,
        detail=str(execute_state["draft"]),
    )
    check(
        "quality-repair-execute-唯一活embedding更新",
        len(active) == 1
        and active[0]["id"] != 41253
        and active[0]["content_hash"] == output["new_embedding_hash"]
        and active[0]["draft_id"] == pu.QUALITY_REPAIR_DRAFT_ID,
        detail=str(execute_state["embeddings"]),
    )
    check(
        "quality-repair-execute-向量为1024维",
        len(json.loads(active[0]["embedding"])) == pu.EMBED_DIM,
    )
    check(
        "quality-repair-execute-同事务提交且不写窗口域",
        execute_state["commits"] == 1
        and execute_state["writes"] == [
            "UPDATE muse_knowledge_draft", "UPDATE example_knowledge_embedding",
            "INSERT example_knowledge_embedding",
        ]
        and execute_state["aliases"] == _quality_repair_state()["aliases"]
        and execute_state["presence"] == _quality_repair_state()["presence"]
        and execute_state["card_state"] == _quality_repair_state()["card_state"]
        and not any("example_upgrade_audit" in sql for sql in execute_state["writes"]),
        detail=json.dumps(execute_state, ensure_ascii=False, default=str),
    )


def test_quality_repair_rejects_stale_confirmation_before_embedding():
    state = _quality_repair_state()
    preview = _quality_repair_preview(state)
    state["draft"]["revision"] = 7
    embed_calls = []
    with patch.object(pu.psycopg, "connect", return_value=_QualityRepairConn(state)), \
            patch.object(pu, "upgrade_work_lock", return_value=nullcontext()), \
            patch.object(pu, "_embed_session", return_value=object()), \
            patch.object(
                pu, "embed_texts", side_effect=lambda *args: embed_calls.append(args) or ([[0.9]], set())
            ):
        result = CliRunner().invoke(
            pu.maintenance_cli,
            [
                "repair-card-quality", "--work-id", "8", "--draft-id", "25360",
                "--execute", "--confirmation-sha", preview["confirmation_sha"],
                "--confirm-no-live-process",
            ],
        )
    check("quality-repair-旧confirmation拒绝", result.exit_code != 0, detail=result.output)
    check(
        "quality-repair-旧confirmation不调用embedding不写入",
        not embed_calls and state["writes"] == [] and state["commits"] == 0,
    )


def test_quality_repair_rejects_final_snapshot_drift_and_bad_embedding():
    preview = _quality_repair_preview(_quality_repair_state())
    precheck_state = _quality_repair_state()
    drift_state = _quality_repair_state()
    drift_state["draft"]["revision"] = 7
    precheck_conn = _QualityRepairConn(precheck_state)
    final_conn = _QualityRepairConn(drift_state)
    with patch.object(pu.psycopg, "connect", side_effect=[precheck_conn, final_conn]), \
            patch.object(pu, "upgrade_work_lock", return_value=nullcontext()), \
            patch.object(pu, "_embed_session", return_value=object()), \
            patch.object(pu, "embed_texts", return_value=([[0.9] * pu.EMBED_DIM], set())):
        drift = CliRunner().invoke(
            pu.maintenance_cli,
            [
                "repair-card-quality", "--work-id", "8", "--draft-id", "25360",
                "--execute", "--confirmation-sha", preview["confirmation_sha"],
                "--confirm-no-live-process",
            ],
        )
    check("quality-repair-锁内快照漂移拒绝", drift.exit_code != 0, detail=drift.output)
    check(
        "quality-repair-锁内漂移无提交",
        final_conn.state["writes"] == [] and final_conn.state["commits"] == 0,
    )

    bad_state = _quality_repair_state()
    bad_conn = _QualityRepairConn(bad_state)
    with patch.object(pu.psycopg, "connect", return_value=bad_conn), \
            patch.object(pu, "upgrade_work_lock", return_value=nullcontext()), \
            patch.object(pu, "_embed_session", return_value=object()), \
            patch.object(pu, "embed_texts", return_value=([], {0})):
        bad = CliRunner().invoke(
            pu.maintenance_cli,
            [
                "repair-card-quality", "--work-id", "8", "--draft-id", "25360",
                "--execute", "--confirmation-sha", preview["confirmation_sha"],
                "--confirm-no-live-process",
            ],
        )
    check("quality-repair-embedding不完整拒绝", bad.exit_code != 0, detail=bad.output)
    check(
        "quality-repair-embedding不完整无写入",
        bad_state["writes"] == [] and bad_state["commits"] == 0,
    )

    malformed_state = _quality_repair_state()
    malformed_conn = _QualityRepairConn(malformed_state)
    with patch.object(pu.psycopg, "connect", return_value=malformed_conn), \
            patch.object(pu, "upgrade_work_lock", return_value=nullcontext()), \
            patch.object(pu, "_embed_session", return_value=object()), \
            patch.object(pu, "embed_texts", return_value=(None, None)):
        malformed = CliRunner().invoke(
            pu.maintenance_cli,
            [
                "repair-card-quality", "--work-id", "8", "--draft-id", "25360",
                "--execute", "--confirmation-sha", preview["confirmation_sha"],
                "--confirm-no-live-process",
            ],
        )
    check("quality-repair-embedding返回形状非法拒绝", malformed.exit_code != 0, detail=malformed.output)
    check(
        "quality-repair-embedding返回形状非法无写入",
        malformed_state["writes"] == [] and malformed_state["commits"] == 0,
    )


def test_quality_repair_rejects_invalid_vector_dimension_and_values():
    """embedding 必须是 1024 维有限数值列表，任何脏值均不得进入事务。"""

    preview = _quality_repair_preview(_quality_repair_state())
    invalid_vectors = (
        ("wrong-dimension", [0.0]),
        ("nan", [float("nan")] * pu.EMBED_DIM),
        ("inf", [float("inf")] * pu.EMBED_DIM),
        ("bool", [False] * pu.EMBED_DIM),
        ("string", ["0.0"] * pu.EMBED_DIM),
    )
    for label, vector in invalid_vectors:
        state = _quality_repair_state()
        conn = _QualityRepairConn(state)
        with patch.object(pu.psycopg, "connect", return_value=conn), \
                patch.object(pu, "upgrade_work_lock", return_value=nullcontext()), \
                patch.object(pu, "_embed_session", return_value=object()), \
                patch.object(pu, "embed_texts", return_value=([vector], set())):
            result = CliRunner().invoke(
                pu.maintenance_cli,
                [
                    "repair-card-quality", "--work-id", "8", "--draft-id", "25360",
                    "--execute", "--confirmation-sha", preview["confirmation_sha"],
                    "--confirm-no-live-process",
                ],
            )
        check(f"quality-repair-{label}-向量拒绝", result.exit_code != 0, detail=result.output)
        check(
            f"quality-repair-{label}-零写入",
            state["writes"] == [] and state["commits"] == 0,
        )


def test_quality_repair_rejects_alias_and_presence_duplicates():
    """alias/presence 关联集合必须是已核实的唯一行，不能靠 ID 忽略重复。"""

    cases = (
        (
            "alias-active-duplicate",
            lambda state: state["aliases"].append(
                (9001, "其他地点", pu.QUALITY_REPAIR_ALIAS_VALUE, 109,
                 pu.QUALITY_REPAIR_ALIAS_VERDICT_BY, "upgrade", False)
            ),
        ),
        (
            "alias-canonical-name-duplicate",
            lambda state: state["aliases"].append(
                (9002, pu.QUALITY_REPAIR_NAME, "另一称谓", 109,
                 pu.QUALITY_REPAIR_ALIAS_VERDICT_BY, "upgrade", False)
            ),
        ),
        (
            "presence-item-duplicate",
            lambda state: state["presence"].append(
                (9003, 57, 403, "item", pu.QUALITY_REPAIR_NAME,
                 pu.QUALITY_REPAIR_PRESENCE_OBSERVATION, False)
            ),
        ),
        (
            "presence-observation-drift",
            lambda state: state["presence"].__setitem__(
                0,
                (
                    pu.QUALITY_REPAIR_PRESENCE_ID,
                    pu.QUALITY_REPAIR_PRESENCE_WINDOW,
                    pu.QUALITY_REPAIR_PRESENCE_CHAPTER,
                    "location",
                    pu.QUALITY_REPAIR_NAME,
                    "错误 observation",
                    False,
                ),
            ),
        ),
    )
    for label, mutate in cases:
        state = _quality_repair_state()
        mutate(state)
        conn = _QualityRepairConn(state)
        with patch.object(pu.psycopg, "connect", return_value=conn):
            result = CliRunner().invoke(
                pu.maintenance_cli,
                [
                    "repair-card-quality", "--work-id", "8", "--draft-id", "25360",
                    "--preview",
                ],
            )
        check(f"quality-repair-{label}-失败关闭", result.exit_code != 0, detail=result.output)
        check(
            f"quality-repair-{label}-零副作用",
            state["writes"] == [] and state["commits"] == 0,
        )





if __name__ == "__main__":
    for fn in (test_classify_new_name, test_resolve_canonical_name,
               test_classify_candidate_alias_same_type_merges,
               test_classify_candidate_alias_cross_type_does_not_merge,
               test_classify_cross_type_hits_without_normalization_fail_closed,
               test_classify_multiple_candidate_aliases_same_draft_merges,
               test_classify_multiple_candidate_aliases_different_drafts_fails_closed,
               test_cross_type_alias_arbitration_same_entity_updates_existing_plan,
               test_same_type_multi_owner_exact_name_skips_arbitration_and_merges,
               test_cross_type_alias_arbitration_different_entity_keeps_new_card,
               test_cross_type_different_entity_new_card_claims_only_remaining_aliases,
               test_cross_type_alias_arbitration_rejects_invalid_cases,
               test_cross_type_alias_arbitration_uncertain_fails_closed_without_planner,
               test_observe_prompt_known_entity_info_requires_type,
               test_observe_prompt_is_incremental_two_array_contract,
               test_model_observation_chapters_are_mechanical_and_verified,
               test_model_observation_type_alias_is_deterministically_normalized,
               test_mechanical_presence_scans_canonical_and_alias_for_changed_draft,
               test_model_observation_pure_presence_is_rejected_before_repair,
               test_normalize_known_entity_observations,
               test_observation_structure_repair_work8_regressions,
               test_observation_structure_repair_conservation_gates,
               test_run_repair_then_cross_type_arbitration_then_planner,
               test_debut_milestone, test_clean_milestone_guard,
               test_merge_material, test_build_embed_text_type_fix, test_int_chaps,
               test_relation_update_and_new_card_undo_boundaries,
               test_upgrade_writes_lock_current_draft_and_reject_invalid_state,
               test_alias_claim_payload_undo_and_entity_watermark,
               test_undo_advances_revision_and_invalidates_precompensation_cas,
               test_entity_chapter_evidence_filter, test_new_card_chapter_evidence_chain,
               test_merge_card_chapter_evidence,
               test_run_alias_paths_store_real_canonical_name,
               test_run_new_card_registers_normalized_name_and_aliases_same_window,
               test_new_card_same_window_update_uses_database_initial_revision,
               test_run_exact_and_disjoint_duplicate_entity_updates_merge_once,
               test_normalize_entity_updates_merges_compatible_milestones_only,
               test_run_conflicting_duplicate_entity_updates_fail_before_any_write,
               test_run_relation_cards_enter_touched_embedding,
               test_run_conflicting_duplicate_relations_fail_before_any_relation_write,
               test_run_relation_conflict_repair_merges_to_one_card,
               test_repaired_relation_merge_order_and_reverse_are_stable,
               test_repaired_relation_merge_rejects_unknown_top_level_dimensions,
               test_run_relation_conflict_repair_single_unknown_top_level_key_fails_window_without_relation_write,
               test_run_relation_conflict_repair_conflict_fails_window_without_relation_write,
               test_run_identical_duplicate_relations_write_existing_card_once,
               test_run_prompt_revision_rejects_entity_and_relation_stale_results,
               test_relation_participants_lock_before_prompt_and_reject_external_drift,
               test_run_alias_gate_precedes_empty_update_and_deleted_alias_fails_closed,
               test_run_embedding_owner_conflict_marks_window_failed,
               test_owner_conflict_external_confirmation_preserves_draft_and_persists_breakpoint,
               test_compensation_exception_persists_durable_failed_and_next_run_stops,
               test_run_embedding_payload_drift_marks_window_failed_without_vector_writes,
               test_embed_touched_migrates_soft_deleted_hash_owner,
               test_embed_touched_rejects_two_active_drafts_with_same_hash,
               test_embed_touched_rejects_existing_active_hash_owner,
               test_presence_chapter_normalization_boundaries,
               test_run_pure_presence_rejects_external_state_and_revision_conflicts,
               test_run_presence_paths_accept_numeric_strings,
               test_load_known_projection, test_repair_milestone_evidence,
               test_prompts_disciplines, test_window_fence_hashes_and_markers,
               test_capture_window_input_rejects_incomplete_or_empty_content,
               test_two_phase_external_calls_and_atomic_embedding_contract,
               test_recovery_and_redo_rejection_contracts,
               test_compensation_attempt_baseline_exact_allows_old_non_allowlist_tombstone,
               test_compensation_attempt_baseline_input_drift_blocks,
               test_compensation_attempt_baseline_state_drift_blocks,
               test_compensation_without_attempt_baseline_keeps_strict_tombstone_rule,
               test_compensation_failed_preserves_original_error_and_artifact_counts,
               test_compensation_tombstone_domains_are_separate,
               test_recover_legacy_failed_cli_contract,
               test_quality_repair_payload_mapping,
               test_quality_repair_preview_contract,
               test_quality_repair_execute_atomically_updates_payload_and_embedding,
               test_quality_repair_rejects_stale_confirmation_before_embedding,
               test_quality_repair_rejects_final_snapshot_drift_and_bad_embedding,
               test_quality_repair_rejects_invalid_vector_dimension_and_values,
               test_quality_repair_rejects_alias_and_presence_duplicates,
               test_capture_window_state_binds_current_window_and_preserves_other_status,
               test_load_window_material_orders_blocks_like_capture_input,
               test_run_defaults_enforce_safety_contract):
        fn()
    print(f"\n全部离线自测通过：{_passed} 项（未发网络/嵌入/LLM 调用）")