extends SceneTree

## P06-01 A06 performance regression probe. Same script runs on the baseline
## and candidate checkouts; prints one JSON line. Measures ordinary Runtime
## minute ticks, full snapshots and disk saves; not rendering or Windows.
const TRIALS := 5
const MINUTES := 1440
const SNAPSHOTS := 20


func _initialize() -> void:
	call_deferred("_run")


func _run() -> void:
	var tick_ms: Array = []
	var snapshot_ms: Array = []
	var save_ms: Array = []
	for trial: int in TRIALS:
		var clock: Variant = load("res://autoload/game_clock.gd").new()
		var state: Variant = load("res://autoload/game_state.gd").new()
		var runtime: Variant = load("res://autoload/simulation_runtime.gd").new()
		clock.reset(1, 6, 0)
		state.reset()
		runtime.initialize(clock, state, 5505 + trial)
		clock.set_paused(true)
		var start := Time.get_ticks_usec()
		clock.advance_minutes(MINUTES)
		tick_ms.append((Time.get_ticks_usec() - start) / 1000.0)
		start = Time.get_ticks_usec()
		var snapshot: Dictionary
		for i: int in SNAPSHOTS:
			snapshot = runtime.create_snapshot()
		snapshot_ms.append((Time.get_ticks_usec() - start) / 1000.0 / SNAPSHOTS)
		var path := "user://saves/p06_01_perf_probe_%d" % trial
		start = Time.get_ticks_usec()
		var saved: Dictionary = SaveService.save_snapshot(path, snapshot)
		save_ms.append((Time.get_ticks_usec() - start) / 1000.0)
		SaveService.delete_save(path)
		if not saved[&"ok"]:
			push_error("save failed")
		runtime.free(); clock.free(); state.free()
	print("P06_01_PERF=" + JSON.stringify({
		"trials": TRIALS, "minutes": MINUTES,
		"tick_day_ms_avg": _avg(tick_ms), "tick_day_ms_max": tick_ms.max(),
		"snapshot_ms_avg": _avg(snapshot_ms), "save_ms_avg": _avg(save_ms), "save_ms_max": save_ms.max(),
	}))
	quit(0)


func _avg(values: Array) -> float:
	var total := 0.0
	for value: float in values:
		total += value
	return total / values.size()