# VERTICAL SLICE - NOT FOR PRODUCTION
# Date: 2026-09-21
# 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，
# 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
# 按冒险结构现行设计自动兑付），逐局独立种子，输出：
#   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/
#      刷新/行进序列/逐战上限序列——后续统计分析的取数面）；
#   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，
#      run 行携带种子/策略切分局次，落 user://logs/）。
# 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）。
# 运行：Godot_console.exe --headless --path . --script res://smoke/adventure_monte_carlo.gd -- [N] [seed0] [normal|perfect|both] [route min|max]
extends SceneTree


var _run_cursor := 0   # 全局局序号（seed = seed0 + cursor，逐局独立消费一次）


func _initialize() -> void:
	var args := OS.get_cmdline_user_args()
	var n := 200
	if args.size() >= 1 and args[0].is_valid_int():
		n = maxi(5, int(args[0]))
	var seed0 := 71000
	if args.size() >= 2 and args[1].is_valid_int():
		seed0 = int(args[1])
	var policy_arg := "both"
	if args.size() >= 3 and args[2] in ["normal", "perfect", "both"]:
		policy_arg = args[2]
	var policies: Array = ["normal"]
	if policy_arg == "perfect":
		policies = ["perfect"]
	elif policy_arg == "both":
		policies = ["normal", "perfect"]
	var route := "min"
	if args.size() >= 4 and args[3] in ["min", "max"]:
		route = args[3]
	var db = load("res://core/config_db.gd").new()
	if not db.load_tables("res://data/tables", false):
		print("表加载失败")
		quit(1)
		return
	var autoplay = load("res://smoke/level_autoplay.gd")
	var t0 := Time.get_ticks_msec()
	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])
	for policy in policies:
		# 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）
		var logger = load("res://presentation/playtest_logger.gd").new()
		logger.ap_per_round = int(db.action_economy.ap_per_round)
		var log_path: String = logger.start_session(seed0)
		var tally := {}
		for i in range(n):
			var seed_val := seed0 + _run_cursor
			_run_cursor += 1
			var st = autoplay.run_adventure(db, seed_val, 0, 0, false, logger, policy, route)
			var sum: Dictionary = st["summary"]
			var rec := {
				"policy": policy, "seed": seed_val, "atk_pct": 0, "hp_pct": 0, "route": route,
				"result": st["result"],
				"cleared": bool(sum.get("cleared", false)),
				"levels_cleared": int(sum.get("levels_cleared", -1)),
				"stopped_at": int(sum.get("stopped_at", -1)),
				"keystone_total": int(sum.get("keystone_total", -1)),
				"battles": int(st["battles"]), "rounds": int(st["rounds"]),
				"hero_dmg": int(st["hero_dmg"]), "mine_hits": int(st["mine_hits"]),
				"refreshes": int(st["refreshes"]), "choices": int(st["choices"]),
				"visited_count": (st["visited_ids"] as Array).size(),
				"encounter_max_hp_seq": st["encounter_max_hp_seq"],
				"reward_events": st["reward_events"],
				"shop_gp_seq": st["shop_gp_seq"],
				"level_templates": st.get("level_templates", []),
				"wallet_count": (st["wallet_events"] as Array).size(),
			}
			var rs := String(sum.get("result", ""))
			tally[rs] = int(tally.get(rs, 0)) + 1
			print("RUNSUM " + JSON.stringify(rec))
			if (i + 1) % 20 == 0:
				print("... %s 进度 %d/%d（耗时 %.1f 秒）" % [policy, i + 1, n, float(Time.get_ticks_msec() - t0) / 1000.0])
		logger.close_session()
		print("BATCH %s N=%d 终局计数=%s 日志=%s" % [policy, n, JSON.stringify(tally), log_path])
	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])
	quit(0)