@tool
extends TwitchData

# CLASS GOT AUTOGENERATED DON'T CHANGE MANUALLY. CHANGES CAN BE OVERWRITTEN EASILY.

## 
## #/components/schemas/PredictionOutcome
class_name TwitchPredictionOutcome
	
## An ID that identifies this outcome.
@export var id: String:
	set(val): 
		id = val
		track_data(&"id", val)

## The outcome’s text.
@export var title: String:
	set(val): 
		title = val
		track_data(&"title", val)

## The number of unique viewers that chose this outcome.
@export var users: int:
	set(val): 
		users = val
		track_data(&"users", val)

## The number of Channel Points spent by viewers on this outcome.
@export var channel_points: int:
	set(val): 
		channel_points = val
		track_data(&"channel_points", val)

## A list of viewers who were the top predictors; otherwise, **null** if none.
@export var top_predictors: Array[TopPredictors]:
	set(val): 
		top_predictors = val
		track_data(&"top_predictors", val)

## The color that visually identifies this outcome in the UX. Possible values are:  
##   
## * BLUE
## * PINK
##   
## If the number of outcomes is two, the color is BLUE for the first outcome and PINK for the second outcome. If there are more than two outcomes, the color is BLUE for all outcomes.
@export var color: String:
	set(val): 
		color = val
		track_data(&"color", val)
var response: BufferedHTTPClient.ResponseData


## Constructor with all required fields.
static func create(_id: String, _title: String, _users: int, _channel_points: int, _top_predictors: Array[TopPredictors], _color: String) -> TwitchPredictionOutcome:
	var twitch_prediction_outcome: TwitchPredictionOutcome = TwitchPredictionOutcome.new()
	twitch_prediction_outcome.id = _id
	twitch_prediction_outcome.title = _title
	twitch_prediction_outcome.users = _users
	twitch_prediction_outcome.channel_points = _channel_points
	twitch_prediction_outcome.top_predictors = _top_predictors
	twitch_prediction_outcome.color = _color
	return twitch_prediction_outcome


static func from_json(d: Dictionary) -> TwitchPredictionOutcome:
	var result: TwitchPredictionOutcome = TwitchPredictionOutcome.new()
	if d.get("id", null) != null:
		result.id = d["id"]
	if d.get("title", null) != null:
		result.title = d["title"]
	if d.get("users", null) != null:
		result.users = d["users"]
	if d.get("channel_points", null) != null:
		result.channel_points = d["channel_points"]
	if d.get("top_predictors", null) != null:
		for value in d["top_predictors"]:
			result.top_predictors.append(TopPredictors.from_json(value))
	if d.get("color", null) != null:
		result.color = d["color"]
	return result



## A list of viewers who were the top predictors; otherwise, **null** if none.
## #/components/schemas/PredictionOutcome/TopPredictors
class TopPredictors extends TwitchData:

	## An ID that identifies the viewer.
	@export var user_id: String:
		set(val): 
			user_id = val
			track_data(&"user_id", val)
	
	## The viewer’s display name.
	@export var user_name: String:
		set(val): 
			user_name = val
			track_data(&"user_name", val)
	
	## The viewer’s login name.
	@export var user_login: String:
		set(val): 
			user_login = val
			track_data(&"user_login", val)
	
	## The number of Channel Points the viewer spent.
	@export var channel_points_used: int:
		set(val): 
			channel_points_used = val
			track_data(&"channel_points_used", val)
	
	## The number of Channel Points distributed to the viewer.
	@export var channel_points_won: int:
		set(val): 
			channel_points_won = val
			track_data(&"channel_points_won", val)
	
	
	
	## Constructor with all required fields.
	static func create(_user_id: String, _user_name: String, _user_login: String, _channel_points_used: int, _channel_points_won: int) -> TopPredictors:
		var top_predictors: TopPredictors = TopPredictors.new()
		top_predictors.user_id = _user_id
		top_predictors.user_name = _user_name
		top_predictors.user_login = _user_login
		top_predictors.channel_points_used = _channel_points_used
		top_predictors.channel_points_won = _channel_points_won
		return top_predictors
	
	
	static func from_json(d: Dictionary) -> TopPredictors:
		var result: TopPredictors = TopPredictors.new()
		if d.get("user_id", null) != null:
			result.user_id = d["user_id"]
		if d.get("user_name", null) != null:
			result.user_name = d["user_name"]
		if d.get("user_login", null) != null:
			result.user_login = d["user_login"]
		if d.get("channel_points_used", null) != null:
			result.channel_points_used = d["channel_points_used"]
		if d.get("channel_points_won", null) != null:
			result.channel_points_won = d["channel_points_won"]
		return result