82 lines
4.1 KiB
GDScript
82 lines
4.1 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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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 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)
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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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"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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"refreshes": int(st["refreshes"]), "choices": int(st["choices"]),
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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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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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