tool
extends Chart
class_name ScatterChart

"""
[ScatterChart] - General purpose node for Scatter Charts

A scatter plot (also called a scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram)
 is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables 
for a set of data. If the points are coded (color/shape/size), one additional variable can be displayed. 
The data are displayed as a collection of points, each having the value of one variable determining the position on 
the horizontal axis and the value of the other variable determining the position on the vertical axis.

/ source : Wikipedia /
"""

# ---------------------

func _get_property_list():
		return [
				# Chart Properties
				{
						"hint": PROPERTY_HINT_NONE,
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Properties/are_values_columns",
						"type": TYPE_BOOL
				},
				{
						"hint": PROPERTY_HINT_RANGE,
						"hint_string": "-1,100,1",
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Properties/labels_index",
						"type": TYPE_INT
				},
				{
						"hint": PROPERTY_HINT_NONE,
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Properties/show_x_values_as_labels",
						"type": TYPE_BOOL
				},
				
				# Chart Display
				{
						"hint": PROPERTY_HINT_RANGE,
						"hint_string": "0.1,10",
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Display/x_decim",
						"type": TYPE_REAL
				},
				{
						"hint": PROPERTY_HINT_RANGE,
						"hint_string": "0.1,10",
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Display/y_decim",
						"type": TYPE_REAL
				},
				
				# Chart Style
				{ 
						"hint": 24, 
						"hint_string": "%d/%d:%s"%[TYPE_INT, PROPERTY_HINT_ENUM,
						PoolStringArray(PointShapes.keys()).join(",")],
						"name": "Chart_Style/points_shape", 
						"type": TYPE_ARRAY, 
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE
				},
				{
						"hint": PROPERTY_HINT_NONE,
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Style/function_colors",
						"type": TYPE_COLOR_ARRAY
				},
				{
						"hint": PROPERTY_HINT_NONE,
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Style/box_color",
						"type": TYPE_COLOR
				},
				{
						"hint": PROPERTY_HINT_NONE,
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Style/v_lines_color",
						"type": TYPE_COLOR
				},
				{
						"hint": PROPERTY_HINT_NONE,
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Style/h_lines_color",
						"type": TYPE_COLOR
				},
				{
						"class_name": "Font",
						"hint": PROPERTY_HINT_RESOURCE_TYPE,
						"hint_string": "Font",
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Style/font",
						"type": TYPE_OBJECT
				},
				{
						"class_name": "Font",
						"hint": PROPERTY_HINT_RESOURCE_TYPE,
						"hint_string": "Font",
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Style/bold_font",
						"type": TYPE_OBJECT
				},
				{
						"hint": PROPERTY_HINT_NONE,
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Style/font_color",
						"type": TYPE_COLOR
				},
				{
						"hint": PROPERTY_HINT_ENUM,
						"hint_string": PoolStringArray(Utilities.templates.keys()).join(","),
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Style/template",
						"type": TYPE_INT
				},
				
				# Chart Modifiers
				{
						"hint": PROPERTY_HINT_NONE,
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Modifiers/invert_chart",
						"type": TYPE_BOOL
				},
		]

func structure_datas(database : Array, are_values_columns : bool, x_values_index : int):
		# @x_values_index can be either a column or a row relative to x values
		# @y_values can be either a column or a row relative to y values
		self.are_values_columns = are_values_columns
		match are_values_columns:
				true:
						for row in database.size():
								var t_vals : Array
								for column in database[row].size():
										if column == x_values_index:
												var x_data = database[row][column]
												if x_data.is_valid_float() or x_data.is_valid_integer():
														x_datas.append(x_data as float)
												else:
														x_datas.append(x_data.replace(",",".") as float)
										else:
												if row != 0:
														var y_data = database[row][column]
														if y_data.is_valid_float() or y_data.is_valid_integer():
																t_vals.append(y_data as float)
														else:
																t_vals.append(y_data.replace(",",".") as float)
												else:
														y_labels.append(str(database[row][column]))
								if not t_vals.empty():
										y_datas.append(t_vals)
						x_label = str(x_datas.pop_front())
				false:
						for row in database.size():
								if row == x_values_index:
										x_datas = (database[row])
										x_label = x_datas.pop_front() as String
								else:
										var values = database[row] as Array
										y_labels.append(values.pop_front() as String)
										y_datas.append(values)
						for data in y_datas:
								for value in data.size():
										data[value] = data[value] as float
		
		# draw y labels
		var to_order : Array
		var to_order_min : Array
		for cluster in y_datas.size():
				# define x_chors and y_chors
				var ordered_cluster = y_datas[cluster] as Array
				ordered_cluster.sort()
				ordered_cluster = PoolIntArray(ordered_cluster)
				var margin_max = ordered_cluster[ordered_cluster.size()-1]
				var margin_min = ordered_cluster[0]
				to_order.append(margin_max)
				to_order_min.append(margin_min)
		
		to_order.sort()
		to_order_min.sort()
		var margin = to_order.pop_back()
		if not origin_at_zero:
				y_margin_min = to_order_min.pop_front()
		v_dist = y_decim * pow(10.0,str(margin).length()-2)
		var multi = 0
		var p = (v_dist*multi) + ((y_margin_min) if not origin_at_zero else 0)
		y_chors.append(p as String)
		while p < margin:
				multi+=1
				p = (v_dist*multi) + ((y_margin_min) if not origin_at_zero else 0)
				y_chors.append(p as String)
		
		# draw x_labels
		if not show_x_values_as_labels:
				to_order.clear()
				to_order = x_datas as PoolIntArray
				
				to_order.sort()
				margin = to_order.pop_back()
				if not origin_at_zero:
						x_margin_min = to_order.pop_front()
				h_dist = x_decim * pow(10.0,str(margin).length()-2)
				multi = 0
				p = (h_dist*multi) + ((x_margin_min) if not origin_at_zero else 0)
				x_labels.append(p as String)
				while p < margin:
						multi+=1
						p = (h_dist*multi) + ((x_margin_min) if not origin_at_zero else 0)
						x_labels.append(p as String)

func build_chart():
		SIZE = get_size()
		origin = Vector2(OFFSET.x,SIZE.y-OFFSET.y)

func calculate_pass():
		if invert_chart:
				x_chors = y_labels as PoolStringArray
		else:
				if show_x_values_as_labels:
						x_chors = x_datas as PoolStringArray
				else:
						x_chors = x_labels
		
		# calculate distance in pixel between 2 consecutive values/datas
		x_pass = (SIZE.x - OFFSET.x) / (x_chors.size()-1)
		y_pass = origin.y / (y_chors.size()-1)

func calculate_coordinates():
		x_coordinates.clear()
		y_coordinates.clear()
		point_values.clear()
		point_positions.clear()
		
		if invert_chart:
				for column in y_datas[0].size():
						var single_coordinates : Array
						for row in y_datas:
								if origin_at_zero:
										single_coordinates.append((row[column]*y_pass)/v_dist)
								else:
										single_coordinates.append((row[column] - y_margin_min)*y_pass/v_dist)
						y_coordinates.append(single_coordinates)
		else:
				for cluster in y_datas:
						var single_coordinates : Array
						for value in cluster.size():
								if origin_at_zero:
										single_coordinates.append((cluster[value]*y_pass)/v_dist)
								else:
										single_coordinates.append((cluster[value] - y_margin_min)*y_pass/v_dist)
						y_coordinates.append(single_coordinates)
		
		if show_x_values_as_labels:
				for x in x_datas.size():
						x_coordinates.append(x_pass*x)
		else:
				for x in x_datas.size():
						if origin_at_zero:
								if invert_chart:
										x_coordinates.append(x_pass*x)
								else:
										x_coordinates.append(x_datas[x]*x_pass/h_dist)
						else:
								x_coordinates.append((x_datas[x] - x_margin_min)*x_pass/h_dist)
		
		for f in functions:
				point_values.append([])
				point_positions.append([])
		
		if invert_chart:
				for function in y_coordinates.size():
						for function_value in y_coordinates[function].size():
								if are_values_columns:
										point_positions[function_value].append(Vector2(x_coordinates[function]+origin.x, origin.y-y_coordinates[function][function_value]))
										point_values[function_value].append([x_datas[function_value],y_datas[function_value][function]])
								else:
										point_positions[function].append(Vector2(x_coordinates[function_value]+origin.x,origin.y-y_coordinates[function][function_value]))
										point_values[function].append([x_datas[function_value],y_datas[function_value][function]])
		else:
				for cluster in y_coordinates.size():
						for y in y_coordinates[cluster].size():
								if are_values_columns:
										point_values[y].append([x_datas[cluster],y_datas[cluster][y]])
										point_positions[y].append(Vector2(x_coordinates[cluster]+origin.x,origin.y-y_coordinates[cluster][y]))
								else:
										point_values[cluster].append([x_datas[y],y_datas[cluster][y]])
										point_positions[cluster].append(Vector2(x_coordinates[y]+origin.x,origin.y-y_coordinates[cluster][y]))

func _draw():
		clear_points()
		
		draw_grid()
		draw_chart_outlines()
		
		var defined_colors : bool = false
		if function_colors.size():
				defined_colors = true
		
		for _function in point_values.size():
				var PointContainer : Control = Control.new()
				Points.add_child(PointContainer)
				
				for function_point in point_values[_function].size():
						var point : Point = point_node.instance()
						point.connect("_point_pressed",self,"point_pressed")
						point.connect("_mouse_entered",self,"show_data")
						point.connect("_mouse_exited",self,"hide_data")
						
						point.create_point(points_shape[_function], function_colors[function_point if invert_chart else _function], 
						Color.white, point_positions[_function][function_point], 
						point.format_value(point_values[_function][function_point], false, false), 
						y_labels[function_point if invert_chart else _function] as String)
						
						PointContainer.add_child(point)

func draw_grid():
		# ascisse
		for p in x_chors.size():
				var point : Vector2 = origin+Vector2((p)*x_pass,0)
				# v grid
				draw_line(point,point-Vector2(0,SIZE.y-OFFSET.y),v_lines_color,0.2,true)
				# ascisse
				draw_line(point-Vector2(0,5),point,v_lines_color,1,true)
				draw_string(font,point+Vector2(-const_width/2*x_chors[p].length(),font_size+const_height),x_chors[p],font_color)
		
		# ordinate
		for p in y_chors.size():
				var point : Vector2 = origin-Vector2(0,(p)*y_pass)
				# h grid
				draw_line(point,point+Vector2(SIZE.x-OFFSET.x,0),h_lines_color,0.2,true)
				# ordinate
				draw_line(point,point+Vector2(5,0),h_lines_color,1,true)
				draw_string(font,point-Vector2(y_chors[p].length()*const_width+font_size,-const_height),y_chors[p],font_color)

func draw_chart_outlines():
		draw_line(origin,SIZE-Vector2(0,OFFSET.y),box_color,1,true)
		draw_line(origin,Vector2(OFFSET.x,0),box_color,1,true)
		draw_line(Vector2(OFFSET.x,0),Vector2(SIZE.x,0),box_color,1,true)
		draw_line(Vector2(SIZE.x,0),SIZE-Vector2(0,OFFSET.y),box_color,1,true)