class_name UnlockDataLightweight
## Lightweight unlock data structure for simulations
## Contains the same calculation logic as UnlockDataResource but without Resource overhead

var unlock_id: int = 0
var unlock_name: String = ""
var base_cost: int = 0
var is_unlocked: bool = false

# Scaling settings
var is_scaling: bool = false
var current_rank: int = 0
var max_rank: int = -1

# Cost scaling
var cost_scaling_type: int = 1  # 0=Linear, 1=Exponential
var cost_scaling_multiplier: float = 1.5
var cost_linear_increase: int = 100
var cost_ladder: Array[int] = []

# Effect ladder
var effect_ladder: Array[float] = []

# Base modifiers
var base_modifiers: Dictionary = {}

## Static factory method to create from UnlockDataResource (one-time conversion)
static func from_resource(resource: UnlockDataResource) -> UnlockDataLightweight:
	var data = UnlockDataLightweight.new()
	data.unlock_id = resource.unlock_id
	data.unlock_name = resource.unlock_name
	data.base_cost = resource.base_cost
	data.is_scaling = resource.is_scaling
	data.max_rank = resource.max_rank
	data.cost_scaling_type = resource.cost_scaling_type
	data.cost_scaling_multiplier = resource.cost_scaling_multiplier
	data.cost_linear_increase = resource.cost_linear_increase
	data.cost_ladder = resource.cost_ladder.duplicate()
	data.effect_ladder = resource.effect_ladder.duplicate()
	data.base_modifiers = resource.base_modifiers.duplicate(true)
	# Start fresh
	data.is_unlocked = false
	data.current_rank = 0
	return data

## Clone for thread safety (fast - no Resource creation)
func clone() -> UnlockDataLightweight:
	var copy = UnlockDataLightweight.new()
	copy.unlock_id = unlock_id
	copy.unlock_name = unlock_name
	copy.base_cost = base_cost
	copy.is_scaling = is_scaling
	copy.max_rank = max_rank
	copy.cost_scaling_type = cost_scaling_type
	copy.cost_scaling_multiplier = cost_scaling_multiplier
	copy.cost_linear_increase = cost_linear_increase
	copy.cost_ladder = cost_ladder  # Shared - read-only
	copy.effect_ladder = effect_ladder  # Shared - read-only
	copy.base_modifiers = base_modifiers  # Shared - read-only
	# Mutable state
	copy.is_unlocked = false
	copy.current_rank = 0
	return copy

## Same logic as UnlockDataResource.get_next_cost()
func get_next_cost() -> int:
	if not is_scaling:
		return base_cost

	if cost_ladder.size() > 0 and current_rank < cost_ladder.size():
		return cost_ladder[current_rank]

	if cost_scaling_type == 0:  # Linear
		return base_cost + (cost_linear_increase * current_rank)
	else:  # Exponential
		return int(base_cost * pow(cost_scaling_multiplier, current_rank))

## Same logic as UnlockDataResource.get_current_modifiers()
func get_current_modifiers() -> Dictionary:
	if not is_unlocked or current_rank == 0:
		return {}
	return get_modifiers_at_rank(current_rank)

## Same logic as UnlockDataResource.get_modifiers_at_rank()
func get_modifiers_at_rank(rank: int) -> Dictionary:
	if rank == 0:
		return {}

	# For one-shot unlocks or empty ladder, return base_modifiers
	if effect_ladder.size() == 0:
		return base_modifiers.duplicate()

	var ladder_index = rank - 1
	if ladder_index >= effect_ladder.size():
		ladder_index = effect_ladder.size() - 1  # Use last value if rank exceeds ladder

	var result = {}
	for key in base_modifiers.keys():
		result[key] = effect_ladder[ladder_index]
	return result

## Same logic as UnlockDataResource.can_rank_up()
func can_rank_up() -> bool:
	if not is_scaling:
		return not is_unlocked

	if max_rank > 0 and current_rank >= max_rank:
		return false

	return true

## Same logic as UnlockDataResource.unlock()
func unlock() -> bool:
	if not can_rank_up():
		return false

	if not is_scaling:
		is_unlocked = true
		current_rank = 1
	else:
		current_rank += 1
		is_unlocked = true

	return true