#!/usr/bin/env python3 # -*- coding: utf-8 -*- r"""数值验证工具(判定端)——自动化评判 + 元进度爬升测量,替代「亲手试玩再反馈」循环。 两段采集(数据源 = smoke/verifier_batch.gd,本文件驱动它并做全部判定): adventure 段 全冒险连探基线(零永久强化)——逐关条件通关率派生 + 止步分布 + 败退节点归因(层/节点/敌人) campaign 段 营地循环战役(隔离档真实元进度账本:注入→冒险→收束入账→买锻造)——爬升曲线 评判标准(溯源): ① 逐关条件通关率(冒险口径派生——打通 k-1 关才到达第 k 关,通关数/到达数):单关直入口口径 (分带批 2026-09-20,难度曲线与Boss v0.16)满血零上下文进关,与真实冒险的条件通关率脱节, 曾误导曲线调参——已随单关试玩入口一并退役(2026-09-23 用户拍板);旧带值 (L1 普通 [35,55]/L2 普通 [25,45]/完美档 [35,65])锚定直入口读数不可比, 带重锚归曲线调参批——重锚前本表只测不判。 ② 元循环目标(用户提案 2026-09-22,数字待确认):累计通过 5 次第 k 层的冒险后,第 k+1 层的 条件通关率(滑窗)应进入该层验收带——判定同①随口径退役暂停(重锚前只给滑窗读数与触发点)。 ③ 魔法道具面:道具工坊六件按通关次数解锁(阈值 1/1/2/2/3/3),局内效果未实装(归 Alpha 魔法道具批)—— 本工具只报解锁时点,不入判定。 表值硬编码溯源(单一事实源仍在 .tres / GDD,变更须同步): · 锻造三档 flat(meta.tres):生命 +3 / 攻击 +1 / 护甲 +1 · 钥石入账(adventure.tres + meta.tres):每层通关 10 + Boss 首杀/重复杀 5/1 · 8/2 · 12/3 · 工坊阈值(meta.tres):显影尘1 · 工兵令1 · 探宝罗盘2 · 探巢摆钟2 · 地穴全图卷3 · 爆破工兵包3 用法: python tools/balance_verifier.py # 全段默认规模 python tools/balance_verifier.py --quick # 小规模快跑(读数精度低) python tools/balance_verifier.py --na 60 --k 60 --seed0 9000 --spend atk_first python tools/balance_verifier.py --from-raw # 免重跑,对既有采集重新判定/出报告 输出:控制台判定结论 + production/qa/balance-verifier-<时间戳>.md(报告)+ 同名 .raw.jsonl(原始逐局数据)。 兼容注:2026-09-23 前的旧 raw.jsonl 含 level 段(直入口单关)行——本版判定自动忽略, 逐关读数一律由冒险行派生。 """ import argparse import json import math import subprocess import sys import time from pathlib import Path ROOT = Path(__file__).resolve().parent.parent SLICE = ROOT / "prototypes" / "dungeon-sweeper-vertical-slice" GODOT = r"D:\code\godot\Godot_v4.7.2-stable_win64_console.exe" SCRIPT = "res://smoke/verifier_batch.gd" QA_DIR = ROOT / "production" / "qa" VJSON_PREFIX = "VJSON " ERROR_MARKERS = ("SCRIPT ERROR", "Parse Error") # ---- 判定标准区(溯源见文件头) ---- # 直入口验收带(原 LEVEL_BANDS)已随单关直入口口径退役(2026-09-23 用户拍板)—— # 逐关/检查点判定全部暂停(judge_band 传 band=None = 只测不判),带重锚归曲线调参批。 CAMPAIGN_CLEARS_TARGET = 5 # 元循环检查点:累计通过第 k 层的冒险次数(用户提案 2026-09-22,待确认) CAMPAIGN_WINDOW = 10 # 检查点滑窗局数(条件通关率的窗口) CAMPAIGN_MIN_ATTEMPTS = 5 # 滑窗内少于此局数 = 数据不足(不出判定) LEVEL_CN = {1: "第一层", 2: "第二层", 3: "第三层"} NODE_TYPE_CN = {"battle": "战斗", "boss": "Boss", "rest": "恢复", "reward": "奖励", "shop": "商店房"} FORGE_FLAT = {"max_hp": 3, "atk": 1, "armor_class": 1} # meta.tres 锻造三档每级 flat 值 WORKSHOP_CN = {"probe_dust": "显影尘", "sapper_order": "工兵令", "loot_compass": "探宝罗盘", "nest_pendulum": "探巢摆钟", "catacomb_scroll": "地穴全图卷", "blast_kit": "爆破工兵包"} def die(msg): print(f"[数值验证] FAIL:{msg}") sys.exit(1) def disp_w(s): return sum(2 if ord(c) > 0x2E7F else 1 for c in str(s)) def pad(s, w, right=False): s = str(s) gap = w - disp_w(s) return (" " * gap + s) if right else (s + " " * gap) # ---------------------------------------------------------------- 采集 def collect(args): segs = args.only.split(",") cmd = [args.godot, "--headless", "--path", str(SLICE), "--script", SCRIPT, "--", f"na={args.na}", f"k={args.k}", f"seed0={args.seed0}", f"only={args.only}", f"spend={args.spend}"] print(f"[数值验证] 采集启动({' · '.join(segs)},约 {args.est_min:.0f} 分钟)…") t0 = time.time() try: proc = subprocess.run(cmd, capture_output=True, text=True, encoding="utf-8", errors="replace", timeout=args.timeout) except subprocess.TimeoutExpired: die(f"外部超时(>{args.timeout}s)——可加大 --timeout 或缩小规模") out = (proc.stdout or "") + (proc.stderr or "") if proc.returncode != 0: print(out[-3000:]) die(f"采集进程退出码 {proc.returncode}") hits = [ln.strip() for ln in out.splitlines() if any(k in ln for k in ERROR_MARKERS)] if hits: print("\n".join(hits[:5])) die(f"脚本错误标记命中 {len(hits)} 行(脚本错误静默中断断言/采集,必须人工排查)") rows, bad = [], 0 for ln in out.splitlines(): if ln.startswith(VJSON_PREFIX): try: rows.append(json.loads(ln[len(VJSON_PREFIX):])) except json.JSONDecodeError: bad += 1 if bad: die(f"VJSON 行解析失败 {bad} 行(采集端输出契约被破坏)") if not rows: die("采集零数据行(verifier_batch.gd 未按契约输出)") print(f"[数值验证] 采集完成:{len(rows)} 局,耗时 {(time.time() - t0) / 60:.1f} 分钟") return rows, out def load_raw(path): rows = [] with open(path, encoding="utf-8") as f: for ln in f: ln = ln.strip() if ln: rows.append(json.loads(ln)) return rows # ---------------------------------------------------------------- 判定件 def binom_ci(wins, n): if n == 0: return 0.0 p = wins / n return 1.96 * math.sqrt(p * (1 - p) / n) def judge_band(rate_pct, band): """落带判定:返回 (结论, 是否达标)。band=None = 带未定(直入口口径退役后待重锚),只报读数。""" if band is None: return "带未定(只测不判)", None lo, hi = band if rate_pct < lo: return f"越下界(低于 {lo}% 达 {lo - rate_pct:.1f} 点)", False if rate_pct > hi: return f"越上界(高于 {hi}% 达 {rate_pct - hi:.1f} 点)", False return f"落带 [{lo},{hi}] ✓", True def node_label(defeat): """败退节点人读名:第X层·节点N·类型·敌人(敌人 = 死亡遭遇显示名,最多 3 个)。""" if not defeat: return "—" t = NODE_TYPE_CN.get(defeat.get("node_type", ""), defeat.get("node_type", "?")) s = f"{LEVEL_CN.get(defeat.get('level_index', -1), '?层')}·节点{defeat.get('node_id', '?')}·{t}" enemies = defeat.get("enemies") or [] if enemies: seen, names = set(), [] for e in enemies: if e not in seen: seen.add(e) names.append(e) s += "·" + "、".join(names[:3]) return s # ---------------------------------------------------------------- 分段分析 def valid_adventure_runs(rows, policy): """冒险段有效局(summary 在场——levels_cleared >= 0);编排异常局单列。""" runs = [r for r in rows if r.get("seg") == "adventure" and r.get("policy") == policy and int(r.get("levels_cleared", -1)) >= 0] invalid = sum(1 for r in rows if r.get("seg") == "adventure" and r.get("policy") == policy and int(r.get("levels_cleared", -1)) < 0) return runs, invalid def analyze_adventure_levels(rows): """逐关条件通关率(冒险口径派生——直入口口径退役 2026-09-23): 到达第 k 关 ⇔ levels_cleared >= k-1;通关第 k 关 ⇔ levels_cleared >= k。 条件通关率 = 通关数 / 到达数(L1 的到达数 = 全部有效局——冒险即从第一关开始)。""" out = {} for policy in ("normal", "perfect"): runs, invalid = valid_adventure_runs(rows, policy) levels = {} for k in (1, 2, 3): reached = sum(1 for r in runs if int(r.get("levels_cleared", 0)) >= k - 1) cleared = sum(1 for r in runs if int(r.get("levels_cleared", 0)) >= k) levels[k] = {"reached": reached, "cleared": cleared} out[policy] = {"n": len(runs), "invalid": invalid, "levels": levels} return out def analyze_adventure(rows): out = {} for policy in ("normal", "perfect"): runs, invalid = valid_adventure_runs(rows, policy) stopped, death_nodes = {}, {} for r in runs: sa = int(r.get("stopped_at", -1)) if sa == 0: stopped["通关"] = stopped.get("通关", 0) + 1 elif sa > 0: stopped[f"止步第{sa}层"] = stopped.get(f"止步第{sa}层", 0) + 1 d = r.get("defeat") or {} if d: lb = node_label(d) death_nodes[lb] = death_nodes.get(lb, 0) + 1 out[policy] = {"n": len(runs), "invalid": invalid, "stopped": stopped, "death_nodes": death_nodes} return out def campaign_series(runs): """逐局爬升序列:条件通关尝试流(第 k 层的尝试 = levels_cleared ≥ k-1 的局,按局序)。""" return { k: [(r["run_no"], int(r.get("levels_cleared", -1)) >= k, r) for r in sorted(runs, key=lambda x: x["run_no"]) if int(r.get("levels_cleared", -1)) >= k - 1] for k in (1, 2, 3) } def window_rate(series, end_idx, window): """尝试流截至 end_idx(含)往前 window 次尝试的通关率(%)。""" chunk = series[max(0, end_idx - window + 1): end_idx + 1] if not chunk: return None, 0 return 100.0 * sum(1 for _, ok, _ in chunk if ok) / len(chunk), len(chunk) def analyze_campaign(rows): out = {} for policy in ("normal", "perfect"): runs = [r for r in rows if r.get("seg") == "campaign" and r.get("policy") == policy and not r.get("anomaly")] anomalies = [r for r in rows if r.get("seg") == "campaign" and r.get("policy") == policy and r.get("anomaly")] res = {"n": len(runs), "anomalies": len(anomalies), "runs": runs} if not runs: out[policy] = res continue series = campaign_series(runs) res["series"] = series # 检查点:累计通过第 k 层达目标后,第 k+1 层滑窗条件通关率——带待重锚(直入口口径退役)只报读数 checkpoints = [] for k in (1, 2): clears = 0 trigger_run = None for r in sorted(runs, key=lambda x: x["run_no"]): if int(r.get("levels_cleared", 0)) >= k: clears += 1 if clears >= CAMPAIGN_CLEARS_TARGET and trigger_run is None: trigger_run = r["run_no"] cp = {"level": k, "trigger_run": trigger_run, "clears": clears} if trigger_run is None: cp["verdict"] = f"数据不足:全程通过{LEVEL_CN[k]}仅 {clears} 次(目标 {CAMPAIGN_CLEARS_TARGET})——加大 --k 重跑" else: attempts = [(rn, ok, r) for rn, ok, r in series.get(k + 1, []) if rn > trigger_run] chunk = attempts[:CAMPAIGN_WINDOW] if len(chunk) < CAMPAIGN_MIN_ATTEMPTS: cp["verdict"] = (f"触发于第 {trigger_run} 局,但其后通过{LEVEL_CN[k + 1]}的尝试仅 " f"{len(chunk)} 局(不足 {CAMPAIGN_MIN_ATTEMPTS})——加大 --k 重跑") else: rate = 100.0 * sum(1 for _, ok, _ in chunk if ok) / len(chunk) cp["rate"] = rate cp["attempts"] = len(chunk) cp["verdict"], cp["pass"] = judge_band(rate, None) # 带重锚归曲线调参批 cp["forge_at"] = chunk[0][2].get("override", {}) checkpoints.append(cp) res["checkpoints"] = checkpoints # 工坊解锁时点(魔法道具面——只报不判) unlocks = {} for r in runs: for iid in r.get("new_unlocks", []): unlocks[WORKSHOP_CN.get(iid, iid)] = r["run_no"] res["unlocks"] = unlocks # 累计钥石与锻造终态 last = max(runs, key=lambda x: x["run_no"]) res["forge_final"] = last.get("forge", {}) res["keystone_final"] = int(last.get("keystone_after", -1)) res["income_total"] = sum(int(r.get("keystone_income", 0)) for r in runs) out[policy] = res return out # ---------------------------------------------------------------- 报告 def fmt_table(header, rows): widths = [max(disp_w(h), max((disp_w(r[i]) for r in rows), default=0)) for i, h in enumerate(header)] def line(cells): return "| " + " | ".join(pad(c, w) for c, w in zip(cells, widths)) + " |" sep = "|" + "|".join("-" * (w + 2) for w in widths) + "|" out = [line(header), sep] out += [line(r) for r in rows] return "\n".join(out) def report(args, rows, meta): lines = [] A = lines.append A(f"# 数值验证报告({meta['ts']})") A("") A(f"- 采集规模:基线冒险 {args.na} 局/画像 · 战役 {args.k} 局/画像" f" · 种子 {args.seed0} 起逐局独立 · 锻造花费策略 = {args.spend}") A(f"- 切片版本:{meta['commit']} · 口径:逐关读数 = 冒险条件口径(单关直入口口径已退役 2026-09-23," f"带待重锚只测不判——重锚归曲线调参批)") A("") # ① 逐关条件通关率(冒险口径派生) A("## ① 逐关条件通关率(冒险口径——打通 k-1 关才到达第 k 关;带待重锚只测不判)") A("") alv = analyze_adventure_levels(rows) tbl = [] for policy in ("normal", "perfect"): d = alv[policy] cn = "普通档" if policy == "normal" else "完美档" for k in (1, 2, 3): lv = d["levels"][k] if lv["reached"] <= 0: tbl.append([LEVEL_CN[k], cn, f"—/{d['n']}", "—(未到达)", "未定"]) continue rate = 100.0 * lv["cleared"] / lv["reached"] ci = binom_ci(lv["cleared"], lv["reached"]) * 100 tbl.append([LEVEL_CN[k], cn, f"{lv['cleared']}/{lv['reached']}", f"{rate:.1f}% ±{ci:.1f}", "未定"]) A(fmt_table(["层", "画像", "通关/到达", "条件通关率±95%CI", "验收带"], tbl)) A("") # ② 冒险基线:止步分布与败退节点 A("## ② 零永久强化冒险:止步分布与败退节点(用户判据③)") A("") adv = analyze_adventure(rows) for policy in ("normal", "perfect"): d = adv[policy] cn = "普通档" if policy == "normal" else "完美档" A(f"### {cn}({d['n']} 局)") A("") stop_line = "、".join(f"{k} {v}({100.0 * v / max(1, d['n']):.0f}%)" for k, v in sorted(d["stopped"].items())) A(f"- 止步分布:{stop_line or '—'}") A("- 败退节点分布(失败局归因):") for lb, c in sorted(d["death_nodes"].items(), key=lambda x: -x[1]): A(f" - {lb} ×{c}") A("") # ③ 元循环爬升 A("## ③ 营地循环爬升(用户判据④:5 次通关 → 下一层可过)") A("") camp = analyze_campaign(rows) for policy in ("normal", "perfect"): d = camp[policy] cn = "普通档" if policy == "normal" else "完美档" A(f"### {cn}({d['n']} 局战役)") A("") if not d["runs"]: A("- 无数据") A("") continue A(f"- 钥石:全程入账 {d['income_total']} · 终态余额 {d['keystone_final']}" f" · 锻造终态 = 生命+{d['forge_final'].get('max_hp', 0) * FORGE_FLAT['max_hp']}" f"/攻击+{d['forge_final'].get('atk', 0) * FORGE_FLAT['atk']}" f"/护甲+{d['forge_final'].get('armor_class', 0) * FORGE_FLAT['armor_class']}") if d["unlocks"]: A("- 道具工坊解锁时点(魔法道具面,局内效果未实装只报不判):" + "、".join(f"{k} 第 {v} 局" for k, v in sorted(d["unlocks"].items(), key=lambda x: x[1]))) else: A("- 道具工坊解锁时点:无(未达阈值)") if d.get("anomalies"): A(f"- ⚠ 编排异常局 {d['anomalies']} 局(未结算零入账——timeout/advance_failed,须排查)") A("") for cp in d.get("checkpoints", []): A(f"- 判据:累计通过{LEVEL_CN[cp['level']]} {CAMPAIGN_CLEARS_TARGET} 次后,{LEVEL_CN[cp['level'] + 1]}" f"条件通关率(滑窗 {CAMPAIGN_WINDOW} 局)——{cp['verdict']}" + (f"(触发时注入 = 生命+{cp['forge_at'].get('max_hp', 0)}/攻击+{cp['forge_at'].get('atk', 0)}" f"/护甲+{cp['forge_at'].get('armor_class', 0)})" if "forge_at" in cp else "")) A("") tbl = [] series = d.get("series", {}) for r in d["runs"][::max(1, len(d["runs"]) // 20)]: cells = [f"第{r['run_no']}局", f"血{r['override'].get('max_hp', 0)}/攻{r['override'].get('atk', 0)}/甲{r['override'].get('armor_class', 0)}", str(r.get("keystone_after", "-"))] for k in (1, 2, 3): s = series.get(k, []) idx = next((i for i, (rn, _, _) in enumerate(s) if rn == r["run_no"]), None) if idx is None: cells.append("—") else: rate, cnt = window_rate(s, idx, CAMPAIGN_WINDOW) cells.append(f"{rate:.0f}%(n={cnt})" if rate is not None else "—") sa = int(r.get("stopped_at", -1)) cells.append("通关" if sa == 0 else (f"止步第{sa}层" if sa > 0 else str(r.get("result", "?")))) tbl.append(cells) A(fmt_table(["局", "注入(flat)", "钥石", "第1层率(窗)", "第2层率(窗)", "第3层率(窗)", "终局"], tbl)) A("") return "\n".join(lines) def console_verdict(args, rows): """控制台判定结论(先读数后细节)。""" alv = analyze_adventure_levels(rows) print("\n判定结论(detail 见报告文件)") for policy in ("normal", "perfect"): d = alv[policy] cn = "普通档" if policy == "normal" else "完美档" cells = [] for k in (1, 2, 3): lv = d["levels"][k] if lv["reached"] > 0: rate = 100.0 * lv["cleared"] / lv["reached"] cells.append(f"{LEVEL_CN[k]} {rate:.1f}%({lv['cleared']}/{lv['reached']})") print(f" [·] 逐关条件通关率·{cn}:{' · '.join(cells) or '—'}(冒险口径——带待重锚只测不判)") adv = analyze_adventure(rows) for policy in ("normal", "perfect"): d = adv[policy] cn = "普通档" if policy == "normal" else "完美档" top = sorted(d["death_nodes"].items(), key=lambda x: -x[1])[:2] print(f" [·] 零强化冒险·{cn}:止步分布 {'、'.join(f'{k}{v}' for k, v in sorted(d['stopped'].items()))}" + (f";主要败退点 = {';'.join(f'{lb} ×{c}' for lb, c in top)}" if top else "")) camp = analyze_campaign(rows) for policy in ("normal", "perfect"): d = camp[policy] cn = "普通档" if policy == "normal" else "完美档" if not d["runs"]: print(f" [·] 营地循环·{cn}:无数据") continue for cp in d.get("checkpoints", []): mark = {True: "✓", False: "✗", None: "·"}.get(cp.get("pass"), "·") print(f" [{mark}] 营地循环·{cn}·{LEVEL_CN[cp['level']]}→{LEVEL_CN[cp['level'] + 1]}:{cp['verdict']}") print() # ---------------------------------------------------------------- 入口 def main(): if hasattr(sys.stdout, "reconfigure"): sys.stdout.reconfigure(encoding="utf-8", errors="replace") ap = argparse.ArgumentParser(description="数值验证工具(判定端)") ap.add_argument("--godot", default=GODOT) ap.add_argument("--na", type=int, default=60, help="基线冒险局数/画像(±95%CI 约 ±9 点——判读须看 CI)") ap.add_argument("--k", type=int, default=60, help="战役局数/画像") ap.add_argument("--seed0", type=int, default=8000) ap.add_argument("--only", default="adventure,campaign") ap.add_argument("--spend", default="hp_first", choices=["hp_first", "atk_first"]) ap.add_argument("--timeout", type=int, default=5400) ap.add_argument("--quick", action="store_true", help="小规模快跑(8/10)") ap.add_argument("--from-raw", default=None, help="跳过采集,对既有 raw.jsonl 重新判定出报告") args = ap.parse_args() if args.quick: args.na, args.k = 8, 10 args.est_min = (2 * args.na * 3.5 + 2 * args.k * 4.0) / 60 ts = time.strftime("%Y%m%d-%H%M%S") if args.from_raw: rows = load_raw(args.from_raw) raw_path = Path(args.from_raw) print(f"[数值验证] 已载入既有采集 {len(rows)} 局:{raw_path}") else: rows, _ = collect(args) QA_DIR.mkdir(parents=True, exist_ok=True) raw_path = QA_DIR / f"balance-verifier-{ts}.raw.jsonl" with open(raw_path, "w", encoding="utf-8") as f: for r in rows: f.write(json.dumps(r, ensure_ascii=False) + "\n") commit = "?" try: commit = subprocess.run(["git", "-C", str(SLICE), "rev-parse", "--short", "HEAD"], capture_output=True, text=True).stdout.strip() except OSError: pass meta = {"ts": ts, "commit": commit} console_verdict(args, rows) md = report(args, rows, meta) if args.from_raw: md_path = raw_path.with_suffix(".md") else: md_path = QA_DIR / f"balance-verifier-{ts}.md" md_path.write_text(md, encoding="utf-8") print(f"[数值验证] 报告:{md_path}") print(f"[数值验证] 原始逐局数据:{raw_path}(--from-raw 可免重跑重判)") return 0 if __name__ == "__main__": sys.exit(main())