refactor(波2 目录收尾): game/smoke/ 目录退役——44 件探针三件套迁 game/probe/、30 件测量/诊断/驱动件迁 game/sim/；全仓 100+ 处 res://smoke 与 game/smoke 引用改指（闸件/产品码 tune_sim_controller/宿主 preload/根规则/README/设计文档）；熵增闸 RETIRED 收编 game/smoke 防回潮；AGENTS.md Project Layout 换代；static_scan 豁免理由换新宿主；波 2 施工件预计算表全部命中（8d 预扫零红灯）；全量域闸验收通过零新增红
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# VERTICAL SLICE - NOT FOR PRODUCTION
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# 判定端 tools/balance_verifier.py 的数据源，本文件零判定逻辑
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# 两段一次采集，stdout 以「VJSON 」前缀行出机器读 JSON（其余行为人读进度/摘要）：
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# adventure 段 全冒险连探基线（run_adventure 零永久强化）× 双画像 × na——止步分布、败退节点
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# （摘要 defeat 明细 + 末场战斗敌方名）与逐关条件通关率派生源；inject 档行带
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# inject_tag/override（flat 三键）
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# campaign 段 营地循环战役 × 双画像 × k 局——SaveManager 隔离档 + MetaProgression 真实账本：
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# 逐局 hero_override() 注入 → 冒险 → settle_adventure 入账 → 花费策略买锻造，
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# 回答「累计几次通关冒险后下一关可过」（元进度换算率标定的模拟读数源）
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# 运行：Godot_console.exe --headless --path . --script res://sim/verifier_batch.gd -- [k=v ...]
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# na=40(基线冒险局数) k=40(战役局数) seed0=8000
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# only=adventure,campaign(缺省全段) spend=hp_first|atk_first|armor_first(锻造花费优先序)
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# inject=max_hp:3,atk:1(冒险段 flat 注入档——三键 {max_hp, atk, armor_class}，缺省全零白板；
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# 换算率标定用：每档与白板同种子流配对，逐关条件通关率差 = 该档的带平移量实测)
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# 种子纪律：unique 逐局独立（掷点测量修复批 A 案——seed0 + 全局游标，每掷点恰消费一次）。
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# 同 seed0 跨档复用 = 配对读数（同序种子流——分析侧按种子配对消方差）。
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# 日志合规：全段共享 playtest_logger 会话（与真人试玩同日志），分析工具可直接消费。
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# 存档红线：战役档用 user://verifier_campaign_<画像>.json 隔离路径，段首清陈旧段尾清理——
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# 绝不碰 user://save.json（与 smoke 存档隔离纪律同源）。
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extends SceneTree
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# 花费策略主语=树脊柱两节点（钥石单币；攻/AC 无树来源
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# 〔契约 9——唯一入口=锻造工坊路线，未实装〕）
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const SPEND_ORDERS := {
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"hp_first": ["sp_hp", "sp_hit"],
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"atk_first": ["sp_hit", "sp_hp"],
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"armor_first": ["sp_hp", "sp_hit"],
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}
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const OVERRIDE_KEYS := ["atk", "max_hp", "armor_class"] # 注入契约三键（同 AdventureRunner 白板形）
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var _cursor := 0 # unique 种子全局游标（三段连续消费，段间不重叠）
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func _initialize() -> void:
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var opt := _parse_args(OS.get_cmdline_user_args())
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var db = load("res://core/config_db.gd").new()
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if not db.load_tables("res://data/tables", false):
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print("表加载失败")
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quit(1)
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return
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var logger = load("res://presentation/playtest_logger.gd").new()
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logger.ap_per_round = int(db.action_economy.ap_per_round)
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var log_path: String = logger.start_session(opt.seed0)
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print("模拟日志: %s" % log_path)
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var autoplay = load("res://sim/level_autoplay.gd")
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var t0 := Time.get_ticks_msec()
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var counts := {"adventure": 0, "campaign": 0}
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if "adventure" in opt.only:
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_seg_adventure(db, autoplay, logger, opt, counts)
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if "campaign" in opt.only:
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_seg_campaign(db, autoplay, logger, opt, counts)
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logger.close_session()
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print("数值验证采集完成：adventure %d 局 · campaign %d 局，耗时 %.1f 秒"
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% [counts.adventure, counts.campaign, float(Time.get_ticks_msec() - t0) / 1000.0])
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quit(0)
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func _parse_args(args: PackedStringArray) -> Dictionary:
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var opt := {"na": 40, "k": 40, "seed0": 8000, "only": "adventure,campaign",
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"spend": "hp_first", "inject": ""}
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for a in args:
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var kv := String(a).split("=", true, 1)
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if kv.size() != 2:
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continue
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var key := String(kv[0])
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if opt.has(key):
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if key in ["only", "spend", "inject"]:
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opt[key] = String(kv[1])
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else:
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opt[key] = int(kv[1])
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var segs: Array = []
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for s in String(opt.only).split(","):
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if s in ["adventure", "campaign"]:
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segs.append(s)
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opt["only"] = segs
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if not SPEND_ORDERS.has(String(opt.spend)):
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opt["spend"] = "hp_first"
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opt["override"] = _parse_inject(String(opt.inject))
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return opt
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# inject 档解析："max_hp:3,atk:1" → 三键 flat 字典（缺键 = 0、负值 clamp 0、未知键丢弃）
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func _parse_inject(raw: String) -> Dictionary:
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var out := {"atk": 0, "max_hp": 0, "armor_class": 0}
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for part in raw.split(","):
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var kv := String(part).split(":", true, 1)
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if kv.size() == 2 and String(kv[0]) in OVERRIDE_KEYS:
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out[String(kv[0])] = maxi(0, int(kv[1]))
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return out
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# 注入档人读标签（白板 = "白板"；行键 inject_tag 供判定端分档聚合）
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func _inject_tag(ov: Dictionary) -> String:
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var parts: Array = []
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for k in OVERRIDE_KEYS:
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if int(ov.get(k, 0)) != 0:
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parts.append("%s+%d" % [k, int(ov[k])])
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return "白板" if parts.is_empty() else ",".join(parts)
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func _next_seed(seed0: int) -> int:
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var s: int = seed0 + _cursor
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_cursor += 1
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return s
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func _emit(row: Dictionary) -> void:
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print("VJSON " + JSON.stringify(row))
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# ---- adventure 段：全冒险连探基线（零永久强化——止步分布/败退节点归因/逐关条件通关率派生源）；
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# inject 档 = 同种子流配对的 OFAT 边际读数（行带 inject_tag/override flat 三键） ----
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func _seg_adventure(db, autoplay, logger, opt: Dictionary, counts: Dictionary) -> void:
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var ov: Dictionary = opt.override
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var tag := _inject_tag(ov)
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for policy in ["normal", "perfect"]:
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for i in range(int(opt.na)):
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var seed_val := _next_seed(int(opt.seed0))
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var st: Dictionary = autoplay.run_adventure(db, seed_val, 0, 0, false, logger, policy, "min", ov)
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var row := _adventure_row(st, policy, seed_val)
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row["inject_tag"] = tag
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row["override"] = ov.duplicate()
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_emit(row)
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counts.adventure += 1
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print("进度 adventure %s %d/%d（%s）" % [policy, int(opt.na), int(opt.na), tag])
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# 冒险局共用取数行（adventure/campaign 两段同构——summary 缺席 = 编排异常局，原样带 result 供判定端计异常）
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func _adventure_row(st: Dictionary, policy: String, seed_val: int) -> Dictionary:
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var sum: Dictionary = st.summary
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var row := {
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"seg": "adventure", "policy": policy, "seed": seed_val,
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"result": String(st.result),
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"levels_cleared": int(sum.get("levels_cleared", -1)),
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"stopped_at": int(sum.get("stopped_at", -1)),
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"keystone": int(sum.get("keystone_total", -1)),
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"defeat": sum.get("defeat", {}),
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"last_enemies": st.last_battle_enemies,
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}
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if not row.defeat.is_empty() and not st.last_battle_enemies.is_empty():
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row.defeat["enemies"] = st.last_battle_enemies
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return row
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# ---- campaign 段：营地循环战役（隔离档真实账本——逐局注入/收束/购买全走正式侧路径） ----
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func _seg_campaign(db, autoplay, logger, opt: Dictionary, counts: Dictionary) -> void:
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for policy in ["normal", "perfect"]:
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var save_path := "user://verifier_campaign_%s.json" % policy
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_remove_save(save_path) # 段首清陈旧（新档 = 白板存档）
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var save = load("res://core/save_manager.gd").new(save_path)
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var meta = load("res://core/meta_progression.gd").new(db, save)
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for r in range(int(opt.k)):
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var seed_val := _next_seed(int(opt.seed0))
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var ov: Dictionary = meta.hero_override()
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var keystone_before: int = meta.keystone_balance()
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var st: Dictionary = autoplay.run_adventure(db, seed_val, 0, 0, false, logger, policy, "min", ov)
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var row := _adventure_row(st, policy, seed_val)
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row["seg"] = "campaign"
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row["run_no"] = r + 1
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row["spend"] = String(opt.spend)
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row["override"] = ov
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row["keystone_before"] = keystone_before
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if st.summary.is_empty():
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# 冒险未正常结算（timeout/advance_failed——编排异常零入账零购买，判定端计异常）
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row["anomaly"] = true
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_emit(row)
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counts.campaign += 1
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continue
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var settle: Dictionary = meta.settle_adventure(st.summary)
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row["keystone_income"] = int(settle.total)
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row["purchases"] = _spend(meta, String(opt.spend))
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row["keystone_after"] = meta.keystone_balance()
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row["tree"] = {"sp_hp": meta.save.tree_level("sp_hp"), "sp_hit": meta.save.tree_level("sp_hit")}
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row["new_unlocks"] = settle.new_unlocks
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_emit(row)
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counts.campaign += 1
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if (r + 1) % 10 == 0:
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print("进度 campaign %s %d/%d（树 血%d/命中%d · 钥石 %d）" % [policy, r + 1, int(opt.k),
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meta.save.tree_level("sp_hp"), meta.save.tree_level("sp_hit"),
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meta.keystone_balance()])
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_remove_save(save_path) # 段尾清理（与 smoke 存档纪律同源——不遗留隔离档）
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# 花费策略（贪心——按优先序反复买当前可负担的最高优先项；树行门槛随买随涨自然外溢到次节点
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# ——购买原语 tree_buy，行门槛=节点等级轴）
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func _spend(meta, policy_name: String) -> Array:
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var out: Array = []
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var order: Array = SPEND_ORDERS.get(policy_name, SPEND_ORDERS["hp_first"])
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var guard := 200
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while guard > 0:
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guard -= 1
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var bought := false
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for nid in order:
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var price: int = int(meta.db.tree_node(nid).get("price", 0))
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if price > 0 and meta.keystone_balance() >= price and meta.tree_buy(nid):
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out.append({"node_id": nid, "level": meta.save.tree_level(nid), "price": price})
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bought = true
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break
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if not bought:
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break
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return out
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func _remove_save(path: String) -> void:
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if FileAccess.file_exists(path):
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DirAccess.remove_absolute(path)
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