196 lines
12 KiB
Python
196 lines
12 KiB
Python
#!/usr/bin/env python3
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"""parse_upgrade 升格拆卡执行器·纯逻辑离线自测（升格卡改造 3 洞补齐）。
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红线：**不连库、不发任何网络/嵌入/LLM 调用**——只覆盖纯函数与提示词构造器：
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· 机械判重分类 _classify_new_name（各分支）
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· 登场兜底 _debut_milestone（有/无登场、无出场章、摘要超长）
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· 里程碑台阶守卫 _clean_milestone（超 80 字截断）
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· 归并材料 _merge_material（演变历程完整不截、其余字段截断）
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· embed_drafts.build_embed_text 对 type 键的型修正
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· observe/update/relation 三个提示词含关键纪律语句
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连库/联网路径（prejudge_semantic / recall_neighbors / semantic_dedup / embed_touched_cards）
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本测试**不触碰**——它们需真连接，属放量前零落库小样阶段的活体验收，不在离线自测范围。
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跑法：仓根 `.venv/bin/python .claude/skills/parse-book/scripts/test_parse_upgrade_offline.py`
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"""
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import pathlib
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import sys
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# 与 parse_upgrade 同目录：直接 import 触发其 sys.path 装配（含 embed/llm scripts），随后可导 embed_drafts
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sys.path.insert(0, str(pathlib.Path(__file__).resolve().parent))
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import parse_upgrade as pu # noqa: E402
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import embed_drafts # noqa: E402 （型修正验证在 embed skill 本体）
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_passed = 0
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def check(name, cond, detail=""):
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"""单项断言：通过打 [PASS]，失败抛 AssertionError（带上下文，令 CI/人工一眼定位）。"""
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global _passed
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assert cond, f"[FAIL] {name} :: {detail}"
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_passed += 1
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print(f"[PASS] {name}")
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# ── ① 机械判重分类 _classify_new_name（洞①：预判段与写段共用判据）──
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def test_classify_new_name():
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name_map = {
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"张三": (10, "character", "主角"),
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"生物机甲": (20, "power_system", "机甲体系"),
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"开心果子": (30, "item", "道具"),
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}
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presence = {("character", "李四"): {5, 12}} # 李四靠留档跨章
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check("classify-empty",
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pu._classify_new_name({"名称": " ", "型": "character"}, name_map, presence) == ("empty", None))
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check("classify-merge(在册直接归并)",
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pu._classify_new_name({"名称": "张三", "型": "character"}, name_map, presence) == ("merge", "张三"))
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check("classify-alias(疑似别名指向在册)",
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pu._classify_new_name({"名称": "阿三", "型": "character", "疑似别名指向": "张三"},
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name_map, presence) == ("alias", "张三"))
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check("classify-substr(同型互为子串)",
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pu._classify_new_name({"名称": "果子", "型": "item", "出场章": [1]},
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name_map, presence) == ("substr", "开心果子"))
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# 子串判据须同型：果子(character) 不应命中 开心果子(item)，单章 → presence
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check("classify-substr跨型不命中",
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pu._classify_new_name({"名称": "果子", "型": "character", "出场章": [1]},
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name_map, presence) == ("presence", None))
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check("classify-new(本窗跨章立卡)",
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pu._classify_new_name({"名称": "王五", "型": "character", "出场章": [3, 8]},
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name_map, presence) == ("new", None))
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check("classify-new(留档补足跨章)",
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pu._classify_new_name({"名称": "李四", "型": "character", "出场章": [20]},
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name_map, presence) == ("new", None))
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check("classify-presence(单章龙套留档)",
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pu._classify_new_name({"名称": "路人甲", "型": "character", "出场章": [7]},
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name_map, presence) == ("presence", None))
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# ── ② 登场兜底 _debut_milestone（洞②机械那一保险）──
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def test_debut_milestone():
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# 已有登场 → 原样返回，不重复补
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has = [{"章": 10, "台阶": "训练机登场", "周期": "登场"}, {"章": 50, "台阶": "进化", "周期": "成长"}]
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out = pu._debut_milestone(has, "摘要", [8], 3)
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check("debut-已有登场不补", len(out) == 2 and out[0]["台阶"] == "训练机登场")
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# 无登场 + 有出场章 → 头部补登场，章=min(出场章)，_win 盖窗号
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no_debut = [{"章": 50, "台阶": "V代编队", "周期": "成长"}]
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out = pu._debut_milestone(no_debut, "4级训练机", [15, 3, 8], 7)
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check("debut-无登场则补一条",
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len(out) == 2 and out[0]["周期"] == "登场" and out[0]["章"] == 3 and out[0]["_win"] == 7)
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check("debut-台阶取摘要", out[0]["台阶"].startswith("登场：4级训练机"))
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check("debut-进化台阶仍在尾部", out[1]["台阶"] == "V代编队")
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# 无出场章 → 省略「章」键（诚实边界：不编造章号）
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out = pu._debut_milestone([], "无章摘要", [], 5)
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check("debut-无出场章省略章键", len(out) == 1 and "章" not in out[0] and out[0]["周期"] == "登场")
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# milestones=None 也当空处理
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out = pu._debut_milestone(None, "空列表摘要", [2], 5)
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check("debut-None当空补登场", len(out) == 1 and out[0]["周期"] == "登场" and out[0]["章"] == 2)
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# 摘要超长 → 台阶截 40 字摘要 + 过 STEP_MAX 守卫（总长 ≤ STEP_MAX）
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out = pu._debut_milestone([], "甲" * 100, [2], 9)
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step = out[0]["台阶"]
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check("debut-摘要超长台阶受守卫", len(step) <= pu.STEP_MAX and step.startswith("登场：") and "甲" * 40 in step)
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check("debut-摘要只取前40字", "甲" * 41 not in step)
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# ── ③ 里程碑台阶守卫 _clean_milestone（洞③：超 80 字截断）──
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def test_clean_milestone_guard():
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# 对象入参：台阶 90 字 → 截到 80
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m = pu._clean_milestone({"章": 100, "台阶": "阶" * 90, "周期": "成长"}, 1)
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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)
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check("clean-对象保真章周期", m["章"] == 100 and m["周期"] == "成长" and m["_win"] == 1)
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# 字符串入参：整串当台阶，同样受守卫
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m = pu._clean_milestone("步" * 120, 2)
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check("clean-字符串台阶截至80", m is not None and len(m["台阶"]) == 80)
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# 正常短台阶不动
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m = pu._clean_milestone({"章": 5, "台阶": "短台阶", "周期": "高光"}, 3)
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check("clean-短台阶不截", m["台阶"] == "短台阶" and len(m["台阶"]) == 3)
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# 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
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# 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）。
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m = pu._clean_milestone({"台阶": "阶" * 85 + "突破至V代（见第432章）"}, 4)
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check("clean-截断前先抽全文章号", m is not None and m["章"] == 432)
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check("clean-截断前先推全文周期", m["周期"] == "高光")
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check("clean-抽后仍截至80", len(m["台阶"]) == 80)
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# ── ④ 归并材料 _merge_material（洞②：演变历程完整不截、其余字段截断）──
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def test_merge_material():
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milestones = [{"章": i, "台阶": f"台阶第{i}条", "周期": "成长"} for i in range(1, 21)]
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ent = {"型": "item", "名称": "影杀者", "一句话摘要": "IV代机甲",
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"字段": {"演变历程": milestones, "能力与限制": "填充" * 500}} # 其余字段 1000 字
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mat = pu._merge_material(ent, rest_limit=600)
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# 演变历程每条台阶完整保留（尤其末条不被截断丢失）
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check("material-演变历程首条在", "台阶第1条" in mat)
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check("material-演变历程末条在", "台阶第20条" in mat)
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check("material-摘要在", "IV代机甲" in mat and "影杀者" in mat)
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# 其余字段被截断（1000 字巨型字段不应整段进材料）
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check("material-其余字段被截断", ("填充" * 500) not in mat)
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# 无字段时不崩
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check("material-空字段不崩", pu._merge_material({"型": "character", "名称": "甲", "一句话摘要": "s"}))
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# ── ⑤ build_embed_text 型键修正（洞①配套；改在 embed skill 本体）──
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def test_build_embed_text_type_fix():
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# 升格卡用 type 键存型：修正后应认出（修正前会产「【】名称…」丢型）
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txt = embed_drafts.build_embed_text({"type": "power_system", "名称": "生物机甲",
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"一句话摘要": "体系", "字段": {"境界阶梯": "一代<二代"}})
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check("embed-type键认出型", txt.startswith("【power_system】生物机甲"))
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check("embed-非空型不再丢", not txt.startswith("【】"))
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# 型 键仍优先（既有行为不动）
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check("embed-型键优先",
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embed_drafts.build_embed_text({"型": "item", "名称": "剑"}).startswith("【item】"))
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# target_type 回退仍在
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check("embed-target_type回退",
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embed_drafts.build_embed_text({"target_type": "faction", "名称": "军团"}).startswith("【faction】"))
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# 三者优先级：型 > type > target_type
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check("embed-型优先于type与target_type",
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embed_drafts.build_embed_text({"型": "A", "type": "B", "target_type": "C",
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"名称": "x"}).startswith("【A】"))
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def _fake_contracts():
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"""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。"""
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c = {}
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for t in pu.ENTITY_TYPES + (pu.RELATION_TYPE,):
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c[t] = {"中文名": t, "判据": f"{t}判据",
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"字段": [{"key": "演变历程", "说明": "里程碑数组"},
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{"key": "一句话摘要", "说明": "摘要"}]}
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return c
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# ── 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）──
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def test_prompts_disciplines():
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c = _fake_contracts()
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obs = pu.observe_prompt(c, "测试书", 1, 12, "正文占位", {"张三": (10, "character", "主角")})
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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)
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check("observe-台阶≤40字", "≤40 字" in obs)
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check("observe-体系级纪律", "体系级纪律" in obs)
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upd = pu.update_prompt(c, "测试书", 1, 12, "正文占位",
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[(10, {"type": "power_system", "名称": "生物机甲"}, ["观察点"])])
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check("update-台阶≤40字", "≤40 字" in upd)
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check("update-体系级纪律", "体系级纪律" in upd)
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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)
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rel = pu.relation_prompt(c, "测试书", 1, 12, "正文占位",
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[(10, {"名称": "张三"}), (11, {"名称": "李四"})], [])
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check("relation-构造器可渲染", "人物关系增量" in rel)
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# 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
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nbs = [(6223, "power_system", "生物机甲", "机甲体系", '{"境界阶梯":"IV代→V代"}', 0.66)]
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jp = pu.dedup_judge_prompt({"型": "power_system", "名称": "联邦生物机甲技术",
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"一句话摘要": "s", "字段": {}}, nbs)
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check("judge-近邻字段摘选入证据", "字段摘选：" in jp and "境界阶梯" in jp)
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check("judge-名称互含判据", "同型且名称互含" in jp)
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check("judge-跨型禁判同一实体仍在", "绝不判同一实体" in jp)
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if __name__ == "__main__":
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for fn in (test_classify_new_name, test_debut_milestone, test_clean_milestone_guard,
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test_merge_material, test_build_embed_text_type_fix, test_prompts_disciplines):
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fn()
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print(f"\n全部离线自测通过：{_passed} 项（未连库、未发任何网络/嵌入/LLM 调用）")
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