bench_ext.py 22.1 KB
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485
"""扩展基准:多步轨迹 + 多轮对话用例。

bench50_v2.py 只测「单发话语 → 首个工具选择」;本脚本补它测不到的:
- 多步 ReAct 轨迹(喂回固定工具结果,跑到模型给出最终文字为止)
- 多轮接续(翻页、代词回指、澄清后接续)
- 回答夹带新需求
- 「改审核人」类消歧(改带"审核"字样的字段 ≠ 审核操作)
- 长会话回指(30 轮后引用最早实体)
- 跨轮流程接续(弹表单后隔轮补字段,值须逐字保留)
- 提议卡后的状态纪律(不重复提议、不声称已执行)

用法:
  uv run --no-project bench_ext.py --arch old        # 现产线:统一 prompt + 6 工具
  uv run --no-project bench_ext.py --arch new        # skill-ReAct(Phase 2 落地后从仓库资源读 prompt/skill)
  uv run --no-project bench_ext.py --arch old --only M5
"""

import json
import sys
import time
import urllib.request

URL = "http://112.82.245.194:41434/v1/chat/completions"
MODEL = "qwen3.6-27b-iq3:latest"
MAX_STEPS = 8

# ---------------- 与 bench50_v2 相同的生产复刻 prompt / 工具定义 ----------------
import pathlib  # noqa: E402

from bench50_v2 import UNIFIED_PROMPT, ALL6, DOMAIN_MAP, fn, CASES as FIFTY_CASES  # noqa: E402

ROOT = pathlib.Path(__file__).resolve().parent.parent
SKILLS_DIR = ROOT / "src/main/resources/skills"

T_USESKILL = fn("useSkill",
    "载入一项技能(业务流程的权威步骤说明),返回完整步骤文本。凡要 新建/报价/问价/修改/作废/审核 等"
    "会改动数据的业务,或不确定流程怎么走,先用它载入对应技能再动手。技能名见 system prompt 的技能清单。",
    {"skillName": {"type": "string",
                   "description": "技能名,如 新建报价 / 修改记录 / 单据状态操作 / 新建单据 / 查询数据"}},
    ["skillName"])


def load_skills():
    """{名称: (一句话用途, 正文)} —— 与生产 SkillService 同源同格式(首行=名,次行=用途,余=正文)。"""
    out = {}
    for p in sorted(SKILLS_DIR.glob("*.md")):
        parts = p.read_text(encoding="utf-8").split("\n", 2)
        if len(parts) >= 3:
            out[parts[0].strip()] = (parts[1].strip(), parts[2].strip())
    return out


def build_context(arch):
    """返回 (system_prompt, tools)。new 架构从仓库资源文件读取(与生产同源),避免复刻漂移。"""
    if arch == "old":
        return UNIFIED_PROMPT, ALL6
    if arch == "new":
        template = (ROOT / "src/main/resources/prompts/system.txt").read_text(encoding="utf-8")
        skills = load_skills()
        index = "".join(f"- {name}:{brief}\n" for name, (brief, _) in skills.items())
        sp = template.replace("{DOMAIN_MAP}", DOMAIN_MAP).replace("{SKILL_INDEX}", index)
        return sp, [T_USESKILL] + ALL6
    raise SystemExit(f"未知 arch: {arch}")


# ---------------- 固定工具结果(fixtures) ----------------
CUSTOMERS = {
    "必胜客": {"客户名称": "必胜客", "联系电话": "13912345678", "地址": "上海市静安区南京西路1266号", "销售员": "王五"},
    "上海创远包装": {"客户名称": "上海创远包装", "联系电话": "021-58991234", "地址": "浦东新区川沙路500号", "销售员": "李四"},
    "苏州华为": {"客户名称": "苏州华为", "联系电话": "0512-67771234", "地址": "苏州工业园区", "销售员": "赵六"},
    "杭州大华印务": {"客户名称": "杭州大华印务", "联系电话": "0571-87654321", "地址": "杭州市余杭区", "销售员": "钱七"},
}

FORMS = {
    "报价": [{"formName": "报价单", "formId": "FQ01", "moduleId": "M-BJ", "source": "quoquotationmaster"}],
    "客户": [{"formName": "客户资料", "formId": "FC01", "moduleId": "M-JC", "source": "custmaster"}],
    "送货": [{"formName": "送货单", "formId": "FD01", "moduleId": "M-XS", "source": "deliverymaster"}],
    "销售": [{"formName": "销售订单", "formId": "FS01", "moduleId": "M-XS", "source": "salesorder"}],
}

READFORM_PAGES = {
    ("FC01", 1): "共 6 条记录,第 1 页:必胜客、上海创远包装、苏州华为、杭州大华印务",
    ("FC01", 2): "共 6 条记录,第 2 页:宁波天海包装、无锡礼盒厂",
    ("FD01", 1): "共 2 条记录,第 1 页:DH202607005(客户 必胜客)、DH202607008(客户 苏州华为)",
}


def fixture_result(name, args):
    args = args or {}
    if name == "findForms":
        kw = args.get("keyword", "")
        for k, forms in FORMS.items():
            if k in kw:
                return json.dumps(forms, ensure_ascii=False)
        return json.dumps([{"formName": kw + "列表", "formId": "FX99", "moduleId": "M-QT", "source": "misc"}],
                          ensure_ascii=False)
    if name == "readFormData":
        page = int(args.get("page") or 1)
        key = (args.get("formId", ""), page)
        if key in READFORM_PAGES:
            return READFORM_PAGES[key]
        kw = args.get("keyword") or ""
        for cname, rec in CUSTOMERS.items():
            if cname in kw:
                return f"共 1 条记录:{json.dumps(rec, ensure_ascii=False)}"
        return f"共 0 条记录(formId={args.get('formId','')} page={page} keyword={kw})"
    if name == "lookupRecord":
        rk = args.get("recordKeyword", "")
        for cname, rec in CUSTOMERS.items():
            if cname in rk or rk in cname:
                return json.dumps(rec, ensure_ascii=False)
        return f"未找到「{rk}」对应的记录"
    if name == "collectForm":
        return (f"[已弹出「{args.get('entityKeyword','')}」表单,预填={args.get('knownFieldsJson') or '{}'}。"
                "等待用户在表单里补齐并点提交,本轮到此为止。]")
    if name == "proposeWrite":
        return (f"[已生成待确认提议 OP-TEST-1:action={args.get('action','')},实体={args.get('entityKeyword','')},"
                f"记录={args.get('recordKeyword','')}。仅提议,未执行;请用户点【确认】。]")
    if name == "askUser":
        return "[问题已发给用户,等待回答,本轮到此为止。]"
    if name == "useSkill":
        skills = load_skills()
        want = args.get("skillName", "")
        for sname, (_, body) in skills.items():
            if sname == want or sname in want or want in sname:
                return body
        return "没有叫「" + want + "」的技能。可用技能:" + "、".join(skills)
    return "OK"


# ---------------- 轨迹模拟器 ----------------
def call(body, timeout=200):
    req = urllib.request.Request(
        URL, data=json.dumps(body).encode(),
        headers={"Content-Type": "application/json", "Authorization": "Bearer ollama"})
    with urllib.request.urlopen(req, timeout=timeout) as r:
        return json.loads(r.read())


def run_trajectory_once(system_prompt, tools, history, utterance):
    """history: [(role, text)] 已渲染的往轮。返回 (calls, final_text, steps, err)。"""
    messages = [{"role": "system", "content": system_prompt}]
    for role, text in history:
        messages.append({"role": role, "content": text})
    messages.append({"role": "user", "content": utterance})
    calls = []
    for step in range(MAX_STEPS):
        body = {"model": MODEL, "stream": False, "temperature": 0.1, "top_p": 0.9,
                "reasoning_effort": "none", "tools": tools, "messages": messages}
        try:
            resp = call(body)
        except Exception as ex:
            return calls, None, step, str(ex)
        msg = resp["choices"][0]["message"]
        tcs = msg.get("tool_calls") or []
        if not tcs:
            return calls, (msg.get("content") or "").strip(), step + 1, None
        messages.append({"role": "assistant", "content": msg.get("content") or "",
                         "tool_calls": tcs})
        for tc in tcs:
            name = tc["function"]["name"]
            try:
                args = json.loads(tc["function"].get("arguments") or "{}")
            except Exception:
                args = {}
            calls.append((name, args))
            messages.append({"role": "tool", "tool_call_id": tc.get("id", "tc"),
                            "content": fixture_result(name, args)})
    return calls, None, MAX_STEPS, "step-cap"


GUARD_NUDGE = "你上一条回答没有调用任何工具、数字疑似编造。请先用工具查询真实数据,再重新回答这个问题:"


def run_trajectory(system_prompt, tools, history, utterance):
    """带生产反编造护栏的轨迹:零工具却答出数字 → 注入纠正话术重试一次(复刻 AgentChatController)。"""
    calls, text, steps, err = run_trajectory_once(system_prompt, tools, history, utterance)
    if err or calls or not text or not any(c.isdigit() for c in text):
        return calls, text, steps, err
    retry_hist = history + [("user", utterance), ("assistant", text)]
    calls2, text2, steps2, err2 = run_trajectory_once(system_prompt, tools, retry_hist, GUARD_NUDGE + utterance)
    return calls2, text2, steps + steps2, err2


# ---------------- 判分辅助 ----------------
def argstr(args):
    return json.dumps(args or {}, ensure_ascii=False)


def find(calls, name, pred=None):
    for n, a in calls:
        if n == name and (pred is None or pred(a)):
            return a
    return None


def any_read(calls, needle=None):
    for n, a in calls:
        if n in ("findForms", "readFormData", "lookupRecord"):
            if needle is None or needle in argstr(a):
                return a
    return None


def asked(calls, final_text):
    return find(calls, "askUser") is not None or (final_text and ("?" in final_text or "?" in final_text))


# ---------------- 用例 ----------------
# 每条: id, cat, history, utter, judge(calls, text) -> ("PASS"|"PARTIAL"|"FAIL", reason)

def j_shenheren_update(target_val):
    def judge(calls, text):
        p = find(calls, "proposeWrite")
        if p and p.get("action") == "update":
            if target_val in argstr(p):
                return "PASS", ""
            return "PARTIAL", f"update 但参数缺 {target_val}"
        if p and p.get("action") in ("examine", "cancelExamine"):
            return "FAIL", f"误判为审核操作 action={p.get('action')}"
        if asked(calls, text):
            return "PARTIAL", "反问(信息已足够)"
        return "FAIL", "未产生 update 提议"
    return judge


def mk(id_, cat, history, utter, judge, desc):
    return {"id": id_, "cat": cat, "history": history, "utter": utter, "judge": judge, "desc": desc}


def long_history():
    pairs = [
        ("查一下杭州大华印务的资料", "杭州大华印务:印刷类客户,地址杭州市余杭区,销售员钱七。"),
        ("必胜客上个月下了几单?", "必胜客上个月共 3 张销售订单。"),
        ("铜版纸库存还有多少?", "铜版纸当前库存 12,000 张。"),
        ("上海创远包装的地址?", "浦东新区川沙路500号。"),
        ("这个月开了几张送货单?", "本月共 18 张送货单。"),
        ("苏州华为的销售员是谁?", "赵六。"),
        ("白卡纸多少库存?", "300g 白卡纸库存 8,500 张。"),
        ("最近有新采购订单吗?", "最近一周有 2 张采购订单。"),
        ("应收账款总额?", "当前应收账款合计 156 万元。"),
        ("宁波天海包装是我们客户吗?", "是,客户资料里有宁波天海包装。"),
        ("今天的生产任务?", "今日 4 个生产任务,均在排程中。"),
        ("金田纸业的电话?", "0571-88881234。"),
        ("上季度销售额最高的客户?", "必胜客,合计 89 万元。"),
        ("画册类产品最近报价几张?", "最近一个月 5 张画册报价单。"),
        ("无锡礼盒厂有欠款吗?", "无锡礼盒厂当前无逾期欠款。"),
    ]
    h = []
    for q, a in pairs:
        h.append(("user", q))
        h.append(("assistant", a))
    return h


def j_m4(calls, text):
    if any_read(calls, "杭州大华印务"):
        return "PASS", ""
    if "钱七" in (text or ""):
        return "PASS", "从历史正确回忆(未重查)"
    if asked(calls, text):
        return "PARTIAL", "反问是哪个客户(历史里可查)"
    return "FAIL", "既没读 杭州大华印务 也没答对销售员"


def j_m5(calls, text):
    c = find(calls, "collectForm")
    if c:
        s = argstr(c)
        if "大16开" in s and "5000" in s:
            return "PASS", ""
        if "16开" in s and "大16开" not in s:
            return "FAIL", "尺寸值被改写(大16开→16开),违反逐字照抄"
        return "PARTIAL", f"collectForm 但预填不全: {s[:80]}"
    p = find(calls, "proposeWrite", lambda a: a.get("action") == "create")
    if p and "大16开" in argstr(p):
        return "PASS", "直接 create 且值逐字"
    return "FAIL", "未回到报价表单流程"


def j_m7(calls, text):
    if find(calls, "proposeWrite"):
        return "FAIL", "重复生成提议"
    done_words = [w for w in ("已修改", "已完成", "修改成功") if w in (text or "")]
    if done_words:
        return "FAIL", f"声称已执行: {done_words}"
    if any_read(calls, "必胜客"):
        return "PASS", ""
    return "FAIL", "未查询必胜客地址"


def j_m3(calls, text):
    upd = find(calls, "proposeWrite",
               lambda a: a.get("action") == "update" and "13800138000" in argstr(a) and "必胜客" in argstr(a))
    qry = any_read(calls, "上海")
    if upd and qry:
        return "PASS", ""
    if upd:
        return "PARTIAL", "只完成修改提议,丢了夹带的查询"
    if qry:
        return "PARTIAL", "只做了查询,丢了修改"
    return "FAIL", "两个请求都没完成"


CASES = [
    # --- 「审核」字样消歧:改带审核字样的字段是 update,不是 examine ---
    mk("S1", "消歧", [], "把BJD202607001的审核人改成张三",
       j_shenheren_update("张三"), "改审核人=update"),
    mk("S2", "消歧", [], "报价单BJD202607082的审核人换成李四",
       j_shenheren_update("李四"), "换审核人=update"),
    mk("S3", "消歧", [],
       "查一下BJD202607001是谁审核的",
       lambda calls, text: ("PASS", "") if any_read(calls) or (text and not any(ch.isdigit() for ch in text))
       else ("FAIL", "既没读也没答"), "查审核人=查询"),
    mk("S4", "消歧", [], "BJD202607001不用审了,帮我撤回来",
       lambda calls, text:
       ("PASS", "") if find(calls, "proposeWrite", lambda a: a.get("action") == "cancelExamine")
       else (("PARTIAL", "反问") if asked(calls, text) else ("FAIL", "未识别为销审")),
       "撤回审核=cancelExamine"),
    # 上下文无候选、记录指代不清 → 反问哪张与直接 cancelInvalid 提议同为正确行为
    mk("S5", "消歧", [], "上次作废的那张送货单帮我恢复一下",
       lambda calls, text:
       ("PASS", "") if find(calls, "proposeWrite", lambda a: a.get("action") == "cancelInvalid")
       or asked(calls, text) else ("FAIL", "未识别为复原"),
       "恢复作废=cancelInvalid或问哪张"),
    # --- 多轮接续 ---
    mk("M1", "多轮接续",
       [("user", "查一下客户列表"),
        ("assistant", "共 6 个客户,第 1 页:必胜客、上海创远包装、苏州华为、杭州大华印务。(表单:客户资料 formId=FC01 moduleId=M-JC)")],
       "下一页",
       lambda calls, text:
       ("PASS", "") if find(calls, "readFormData", lambda a: int(a.get("page") or 1) == 2)
       else ("FAIL", "没有翻到第 2 页"), "翻页接续"),
    mk("M2", "多轮接续",
       [("user", "查一下必胜客的资料"),
        ("assistant", "必胜客:地址 上海市静安区南京西路1266号,销售员 王五。")],
       "他的电话是多少",
       lambda calls, text:
       (("PASS", "") if "13912345678" in (text or "") else ("PARTIAL", "读了但答案未含固定电话"))
       if any_read(calls, "必胜客") else ("FAIL", "未解析代词「他」=必胜客"),
       "代词回指"),
    mk("M6", "多轮接续",
       [("user", "作废那张送货单"),
        ("assistant", "请问是哪一张送货单?候选:DH202607005(必胜客)、DH202607008(苏州华为)")],
       "第一张",
       lambda calls, text:
       ("PASS", "") if find(calls, "proposeWrite",
                            lambda a: a.get("action") in ("invalid",) and "DH202607005" in argstr(a))
       else (("PARTIAL", "再次反问") if asked(calls, text) else ("FAIL", "未把「第一张」解析为 DH202607005")),
       "澄清后接续"),
    # --- 夹带新需求 ---
    mk("M3", "夹带", [("user", "把必胜客的电话改一下"), ("assistant", "请问要改成什么号码?")],
       "13800138000,另外查下上海有哪些客户", j_m3, "回答+新查询"),
    # --- 长会话回指 ---
    mk("M4", "长会话回指", long_history(), "最早问的那个客户,帮我查下它的销售员", j_m4, "30 轮后回指最早实体"),
    # --- 跨轮表单接续 ---
    mk("M5", "跨轮表单",
       [("user", "报价纸盒"),
        ("assistant", "[已为您弹出「报价」表单,请填写客户、产品、数量、尺寸等字段后提交。]"),
        ("user", "先查下必胜客的电话"),
        ("assistant", "必胜客电话:13912345678。")],
       "报价那个,尺寸大16开,数量5000", j_m5, "隔轮补字段,值逐字"),
    # --- 提议卡后的状态纪律 ---
    mk("M7", "提议纪律",
       [("user", "把必胜客电话改成13800138000"),
        ("assistant", "[已生成待确认提议 OP123:修改 客户「必胜客」联系电话 → 13800138000],请点击【确认】执行。")],
       "顺便查下它的地址", j_m7, "提议后查询:不重提、不谎称已执行"),
]


# ---------------- bench50 用例的全轨迹判分(新旧架构同口径对照) ----------------
def judge_fifty(exp, calls, text):
    """与 bench50_v2.judge 同语义,但看整条轨迹而非首步。useSkill 是自由动作,不计对错。"""
    biz = [(n, a) for n, a in calls if n != "useSkill"]
    actions = [(a or {}).get("action", "") for n, a in biz if n == "proposeWrite"]
    names = [n for n, _ in biz]
    ask = asked(calls, text)
    if exp == "查询":
        if any(n in READ_TOOLS_50 for n in names):
            return "ok"
        if not biz and text and not any(c.isdigit() for c in text):
            return "ok"
        return "fail"
    if exp == "新增":
        if "collectForm" in names or "create" in actions:
            return "ok"
        return "clarify" if ask else "fail"
    if exp == "修改":
        if "update" in actions or "askUser" in names or "lookupRecord" in names:
            return "ok"
        return "clarify" if ask else "fail"
    if exp == "删除":
        if any(a in ("invalid", "delete", "cancelInvalid") for a in actions):
            return "ok"
        return "clarify" if ask else "fail"
    if exp == "审核":
        if any(a in ("examine", "cancelExamine") for a in actions):
            return "ok"
        return "clarify" if ask else "fail"
    if exp == "闲聊":
        return "ok" if not biz and text else "fail"
    if exp == "不清楚":
        if "askUser" in names or (not biz and text):
            return "ok"
        return "fail"
    return "fail"


READ_TOOLS_50 = {"findForms", "readFormData", "lookupRecord"}


def run_fifty(arch):
    system_prompt, tools = build_context(arch)
    print(f"bench50 全轨迹判分  arch={arch}  model={MODEL}")
    strict = 0
    lenient = 0
    per = {}
    fails = []
    for utt, exp in FIFTY_CASES:
        t0 = time.time()
        calls, text, steps, err = run_trajectory(system_prompt, tools, [], utt)
        dt = time.time() - t0
        v = "fail" if err else judge_fifty(exp, calls, text)
        if err:
            fails.append((utt, exp, f"ERROR {err}"))
        strict += v == "ok"
        lenient += v in ("ok", "clarify")
        s, l, n = per.get(exp, (0, 0, 0))
        per[exp] = (s + (v == "ok"), l + (v in ("ok", "clarify")), n + 1)
        mark = {"ok": "✓", "clarify": "◐", "fail": "✗"}[v]
        traj = " → ".join(n for n, _ in calls) or "文字"
        if v == "fail" and not err:
            fails.append((utt, exp, traj + (" 「" + (text or "")[:60].replace("\n", " ") + "」" if text else "")))
        print(f"{mark} [{exp}] {utt}  →  {traj}  ({steps}步 {dt:.0f}s)")
    n = len(FIFTY_CASES)
    print(f"\n[{arch}] bench50 全轨迹: 严格 {strict}/{n} = {strict/n*100:.0f}%   宽松 {lenient}/{n} = {lenient/n*100:.0f}%")
    print("按意图分(严格/宽松/总数):", {k: f"{s}/{l}/{c}" for k, (s, l, c) in per.items()})
    for utt, exp, d in fails:
        print(f"  失败: 「{utt}」[{exp}] → {d}")


def main():
    arch = "old"
    only = None
    argv = sys.argv[1:]
    if "--arch" in argv:
        arch = argv[argv.index("--arch") + 1]
    if "--only" in argv:
        only = argv[argv.index("--only") + 1]
    if "--fifty" in argv:
        run_fifty(arch)
        return
    system_prompt, tools = build_context(arch)
    cases = [c for c in CASES if only is None or c["id"] == only]
    print(f"arch={arch}  model={MODEL}  cases={len(cases)}")
    results = []
    for c in cases:
        t0 = time.time()
        calls, text, steps, err = run_trajectory(system_prompt, tools, c["history"], c["utter"])
        dt = time.time() - t0
        if err:
            verdict, reason = "FAIL", f"ERROR {err}"
        else:
            verdict, reason = c["judge"](calls, text)
        results.append((c, verdict, reason))
        mark = {"PASS": "✓", "PARTIAL": "◐", "FAIL": "✗"}[verdict]
        traj = " → ".join(n for n, _ in calls) or "文字"
        print(f'{mark} [{c["cat"]}] {c["id"]} {c["desc"]}: {traj}'
              f'{"  |  " + reason if reason else ""}  ({steps}步 {dt:.0f}s)')
        if verdict != "PASS" and text:
            print(f'    最终答复: {text[:100]}')
    n = len(results)
    strict = sum(v == "PASS" for _, v, _ in results)
    lenient = sum(v in ("PASS", "PARTIAL") for _, v, _ in results)
    by_cat = {}
    for c, v, _ in results:
        s, l, t = by_cat.get(c["cat"], (0, 0, 0))
        by_cat[c["cat"]] = (s + (v == "PASS"), l + (v != "FAIL"), t + 1)
    print(f"\n[{arch}] 严格 {strict}/{n}  宽松 {lenient}/{n}")
    for cat, (s, l, t) in by_cat.items():
        print(f"  {cat}: 严格 {s}/{t} 宽松 {l}/{t}")


if __name__ == "__main__":
    main()