storytelling-assistant/traits.gd

extends Control

@export var traits:Array = [
	"Courage",
	"Passion",
	"Creativity",
	"Temperance",
	"Sensuality",
	"Energy",
	"Responsibility",
	"Empathy",
	"Self-esteem",
	"Flexibility",
	"Hope",
	"Will"
	]
@export var seed: int = 0
@export var amount: int = 3
var pin_items: Array = []

# variables for nodes
@onready var traits_list: VBoxContainer = $Traits_list

# Variable for icons
@onready var icon_up: Texture2D = load("res://textures/arrowUp.png")
@onready var icon_down: Texture2D = load("res://textures/arrowDown.png")

# Called when the node enters the scene tree for the first time.
func _ready() -> void:
	build_traits()

func build_traits() -> void:
	# Build the traits list with checkboxes to pin any
	
	var list_amount: int = amount
	var pinned: Array = []
	
	# First, clear the box for non-pinned traits
	for child in traits_list.get_children():
		for sub_child in child.get_children():
			if sub_child is CheckBox:
				if sub_child.button_pressed:
					list_amount -= 1
					pinned.append([child.get_index(), child])
					
	for child in traits_list.get_children():
		for sub_child in child.get_children():
			if sub_child is CheckBox:
				if sub_child.button_pressed:
					traits_list.remove_child(child)
				else:
					child.queue_free()
					
	
	# generate the amount of traits needed
	var char_traits: Dictionary = generate_traits(traits, seed, list_amount)
	var char_traits_list: Array = []
	
	for key in char_traits.keys():
		char_traits_list.append([key, char_traits[key][0], char_traits[key][1]])
	
	for pin in pinned:
		char_traits_list.insert(pin[0], pin[1])

	# Generate a line for each trait
	for traitline in range(amount):
		print("At index: ", traitline, " found: ", char_traits_list[traitline])
		if char_traits_list[traitline] is HBoxContainer:
			print("Je confirme")
			print("Parent: ", char_traits_list[traitline].get_parent())
			traits_list.add_child(char_traits_list[traitline])
			#char_traits_list[traitline].reparent(traits_list)
		else:
			# Create horizontal container for elements
			var container = HBoxContainer.new()

			# Checkbox to pin or not
			var checkbox: CheckBox = CheckBox.new()
			var checkbox_index: int = pin_items.size()
			checkbox.text = ""  # No text
			checkbox.tooltip_text = "PIN"
			checkbox.toggled.connect(Callable(self, "_on_checkbox_toggled").bind(checkbox_index))

			# Label for trait name
			var label: Label = Label.new()
			label.text = char_traits_list[traitline][0]
			
			# Icon for up or down
			var icon: Texture2D = icon_down
			var icon_rect: TextureRect = TextureRect.new()
			icon_rect.texture = icon_down
			var value: bool = char_traits_list[traitline][1]
			if value:
				icon_rect.texture = icon_up

			# Add the elements to the horizontal container
			container.add_child(checkbox)
			container.add_child(label)
			container.add_child(icon_rect)

			# Add the container
			traits_list.add_child(container)

			# Stock checkbox reference
			pin_items.append(checkbox)

	
func _on_checkbox_toggled(checked: bool, checkbox: int) -> void:
	# Manage checkbox signal
	pass

func generate_traits(traits_list: Array = traits, chosen_seed: int = 0, chosen_amount: int = 3) -> Dictionary:
	# Return a dictionary,
	# with trait as key and
	# an array with index as first value and boolean as second value
	# Inputs:
	# chosen_seed for random seed
	# chosen_amount for the amount of traits to return
	var picked_traits: Dictionary = {}
	var traits_duplicate = traits_list.duplicate()
	for select in range(chosen_amount):
		# Pick a trait first and then choose if it is up or down
		var picked_trait:Dictionary = {}
		var random = RandomNumberGenerator.new()
		random.seed = chosen_seed
		random.randomize()
		var result: int = random.randi_range(0, traits_duplicate.size() - 1)

		var random_value = RandomNumberGenerator.new()
		random_value.seed = chosen_seed
		random_value.randomize()
		var value: bool = random_value.randi_range(0, 1)
		
		# Add the key and array value to the array
		picked_traits[traits_duplicate[result]] = [select, value]
		
		# Delete the chosen trait from the possible list
		traits_duplicate.pop_at(result)
	
	return picked_traits