DKChan
c571af226f
概念层由用户逐轮裁定定稿（《奇物》v1.0→v2.7），本批只做落地对齐。 主要内容： - 新建 design/gdd/systems/冒险循环/奇物.md v2.7（本概念唯一定义文档） - 新建 design/research/任务书-奇物词族对齐与渠道分离批-2026-10-05.md （loop engineering 八件成文 + 12 条批末验收断言 + 11 条设计契约含 6 条停机级） - 代码词族对齐：feature_* → FEATURE_KINDS/feature_quota_*/feature_value_* （adventure_table.gd 24 字段 + 方法 + 常量，adventure.tres 21 键，值零变更） - 三个 schema 补概念指路注释；relic_table.gd / adventure_table.gd 概念注释指向奇物.md - ux/battle.md、level-map.md、HUD框架.md、06-待办清单.md、02-系统清单.md、 registry/entities.yaml 同步称谓与元信息 六处冲突解法： - 02-系统清单.md：版本历史整段重编（master v0.1-v1.3 原号复原，奇物系列从 v1.4 起） - ux/battle.md：取分支侧新称谓，但「魔法道具槽」须写「秘宝槽」（master v1.3 已更名） - adventure_table.gd：合成并集（取本批改名 + 保留 master SR-1 商店刷新三字段） - level_map_screen.gd：块1 取 master M5 底栏结构，块2 取本批配色与称谓 - registry/entities.yaml：7 处三方混战，块1-5/7 取 master，块6 取本批 - roadmap.md：迭代 15 两卡并存（①调试 已落籍 / ②奇物 待开工） 合并后自查修正： - 批量替换误伤 70 处（清图奖励/安全格奖励/关卡大奖励/奖励身份预读 等 属地图战斗资源域；「奖励道具经济」旧文件名与「迭代 10 奖励重构」属历史留痕）→ 全部回退 - battle.md 历史修订行误改 → 恢复 master 原文 - 奇物.md 5 处死链（../ux/ 少一层、魔法道具.md 已更名）→ 修 - registry 条目 markdown 链接 → 改纯路径（同文件惯例） - 奇物.md R1 散文段 656 字 → 拆段，现在零结构性告警 验证读数（合并后主区全量复跑）： - 冒烟 755 项 / 0 失败，三闸全过 - ui_input_probe 十六断言全绿 - ui_layout_probe 四区尺寸逐位吻合 battle.md 规格 - doc_link 死链 0；doc_term 与基线同；gdd_lint 零新增 - 旧标识符残留全 0；_status_box 未成死代码，四个投喂键齐全
150 lines
7.8 KiB
GDScript
150 lines
7.8 KiB
GDScript
# VERTICAL SLICE - NOT FOR PRODUCTION
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# Date: 2026-09-21
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# 冒险全流程期望扫描（三关连探零加成基线批量试玩——run_adventure 的蒙特卡洛批量工具，
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# 补 level_monte_carlo 只测单关的空白面）：固定 atk+0%/hp+0%（零天赋格加成，关间大奖励
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# 按冒险结构现行设计自动兑付），逐局独立种子，输出：
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# ① 每局一行 RUNSUM JSON（stdout，局级摘要：策略/种子/result/summary/战斗轮数/承伤/踩雷/
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# 刷新/行进序列/逐战上限序列——后续统计分析的取数面）；
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# ② 全量操作日志 = playtest_logger 共享会话 JSONL（与真人试玩同合规口径，每策略一批一文件，
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# run 行携带种子/策略切分局次，落 user://logs/）。
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# 本工具只采集与落盘数据，不做统计判读（通关率/败因分布归分析会话）。
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# 运行：Godot_console.exe --headless --path . --script res://smoke/adventure_monte_carlo.gd -- [N] [seed0] [normal|perfect|both] [route min|max]
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extends SceneTree
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var _run_cursor := 0 # 全局局序号（seed = seed0 + cursor，逐局独立消费一次）
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func _initialize() -> void:
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var args := OS.get_cmdline_user_args()
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var n := 200
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if args.size() >= 1 and args[0].is_valid_int():
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n = maxi(5, int(args[0]))
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var seed0 := 71000
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if args.size() >= 2 and args[1].is_valid_int():
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seed0 = int(args[1])
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var policy_arg := "both"
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if args.size() >= 3 and args[2] in ["normal", "perfect", "both"]:
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policy_arg = args[2]
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var policies: Array = ["normal"]
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if policy_arg == "perfect":
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policies = ["perfect"]
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elif policy_arg == "both":
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policies = ["normal", "perfect"]
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var route := "min"
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if args.size() >= 4 and args[3] in ["min", "max"]:
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route = args[3]
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# 同调分层开关（迭代 11 第①批 T8——off=现行基线零装配零扰动；on=贪心装配画像，确定性同种子可复放）
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var attune_mode := "off"
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if args.size() >= 5 and args[4] in ["off", "on"]:
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attune_mode = args[4]
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# 商店分层开关（迭代 11 第②批 T5——off=legacy 对照缺省零扰动；on=共享池货架面，终局池读数随行）
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var shop_mode := "off"
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if args.size() >= 6 and args[5] in ["off", "on"]:
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shop_mode = args[5]
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# 特性/树分层开关（迭代 12 T7/T10——off=基线；formed=成型画像开局注入七流派各 2 件档一成型集
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# 〔测量面专用 params.relics_seed——真实局规则改写型特性只走局内随机渠道〕；ab_a/ab_b=Fork posture 两侧
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# rule 键集——A/B 面两侧差 <~3pp 验收载体）
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var relic_mode := "off"
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if args.size() >= 7 and args[6] in ["off", "formed", "ab_a", "ab_b"]:
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relic_mode = args[6]
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var relic_profile := {}
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if relic_mode == "formed":
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relic_profile = {"mode": "on", "seed_ids": [
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"arcane_ember", "mana_weaver", "pierce_shot", "chain_arrows",
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"miner_stubborn", "miner_hammer", "greedy_lantern", "vein_intuition",
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"mine_atlas", "nest_hunter", "armory_prep", "iron_wall",
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"ley_harvest", "thorn_weaver"]}
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elif relic_mode == "ab_a":
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relic_profile = {"mode": "off", "tree_rules": ["posture_first_strike"]}
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elif relic_mode == "ab_b":
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relic_profile = {"mode": "off", "tree_rules": ["posture_bulwark"]}
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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 attune_profile := {}
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if attune_mode == "on":
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# 贪心画像：中间进度计数（通关 3/Boss 击杀 6）经谓词表求值 Slots；装配序 = 表序 passive 优先至
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# Slots-1 + 首个 active（slots=3 → [淬毒刃纹, 标中殉爆, 掘进蓄能]，provisional 画像归调参批）；
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# Y = 营地升级 Lv1 表值 1。autoplay 默认不刷——Y 仅注入容量，刷新消费归玩家策略面（钓鱼归玩家）。
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var slots: int = db.attunement_growth.slots({"clear_count": 3, "boss_kill_count": 6})
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var passives: Array = []
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var actives: Array = []
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for r in db.aux_attunement_rows():
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if String(r.get("form", "")) == "passive":
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passives.append(String(r.get("item_id", "")))
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elif String(r.get("form", "")) == "active_charged":
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actives.append(String(r.get("item_id", "")))
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var equipped: Array = []
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for p in passives:
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if equipped.size() >= maxi(0, slots - 1):
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break
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equipped.append(p)
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if slots > equipped.size() and not actives.is_empty():
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equipped.append(actives[0])
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for p in passives:
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if equipped.size() >= slots:
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break
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if not equipped.has(p):
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equipped.append(p)
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attune_profile = {"equipped": equipped, "refresh_y": 1}
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var autoplay = load("res://smoke/level_autoplay.gd")
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var t0 := Time.get_ticks_msec()
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print("=== 冒险全流程扫描：三关连探 · N=%d/策略 · 种子 %d 起逐局独立 · 策略=%s · atk+0%%/hp+0%% 零加成 · route=%s ===" % [n, seed0, policy_arg, route])
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for policy in policies:
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# 每策略一个共享日志会话（全量 JSONL 体量随局数增长，分文件便于定位）
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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(seed0)
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var tally := {}
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for i in range(n):
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var seed_val := seed0 + _run_cursor
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_run_cursor += 1
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var st = autoplay.run_adventure(db, seed_val, 0, 0, false, logger, policy, route, {}, attune_profile,
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{"mode": "pool"} if shop_mode == "on" else {}, relic_profile)
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var sum: Dictionary = st["summary"]
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var rec := {
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"policy": policy, "seed": seed_val, "atk_pct": 0, "hp_pct": 0, "route": route,
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"attune": attune_mode, "equipped": attune_profile.get("equipped", []),
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"relic_mode": relic_mode,
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"result": st["result"],
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"cleared": bool(sum.get("cleared", false)),
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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_total": int(sum.get("keystone_total", -1)),
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"battles": int(st["battles"]), "rounds": int(st["rounds"]),
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"hero_dmg": int(st["hero_dmg"]), "mine_hits": int(st["mine_hits"]),
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"mine_dmg": int(st.get("mine_dmg", 0)),
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"taken": int(st["hero_dmg"]) + int(st.get("mine_dmg", 0)),
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"refreshes": int(st["refreshes"]), "choices": int(st["choices"]),
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# 旗经济五字段（迭代14②判式换代批 T1——η=flag_hit÷flag_placed、标空率=flag_miss÷flag_placed
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# 派生归分析侧；gain/penalty=结算流水行值合计（原始行值口径，等价换算归判读侧——登记））
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"flag_placed": int(st.get("flag_placed", 0)), "flag_hit": int(st.get("flag_hit", 0)),
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"flag_miss": int(st.get("flag_miss", 0)),
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"flag_hit_gain": int(st.get("flag_hit_gain", 0)),
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"flag_miss_penalty": int(st.get("flag_miss_penalty", 0)),
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"relics": st.get("relics", []),
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"visited_count": (st["visited_ids"] as Array).size(),
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"encounter_max_hp_seq": st["encounter_max_hp_seq"],
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"reward_events": st["reward_events"],
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"shop_gp_seq": st["shop_gp_seq"],
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"level_templates": st.get("level_templates", []),
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"wallet_count": (st["wallet_events"] as Array).size(),
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}
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if shop_mode == "on":
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# pool 面增量字段（迭代 11 第②批 T5——off 行零新增保对拍逐位干净）
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rec["shop_mode"] = "pool"
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rec["shop_buys"] = int(st.get("shop_buys", 0))
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rec["pool_stock"] = st.get("pool_stock", {})
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var rs := String(sum.get("result", ""))
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tally[rs] = int(tally.get(rs, 0)) + 1
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print("RUNSUM " + JSON.stringify(rec))
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if (i + 1) % 20 == 0:
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print("... %s 进度 %d/%d（耗时 %.1f 秒）" % [policy, i + 1, n, float(Time.get_ticks_msec() - t0) / 1000.0])
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logger.close_session()
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print("BATCH %s N=%d 终局计数=%s 日志=%s" % [policy, n, JSON.stringify(tally), log_path])
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print("（口径注：零加成 = atk/hp 天赋格百分比均 0；关间大奖励（HP 上限提升+回满）按冒险结构设计自动兑付，未额外剥离 · 全程日志见 user://logs/ · 总耗时 %.1f 秒）" % [float(Time.get_ticks_msec() - t0) / 1000.0])
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quit(0)
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