private void ShowDebugData(Direction direction, SnakePlayer snake, IEnumerable <double> avoidRates, IEnumerable <double> eagerRates)
{
var directions = Enum.GetValues(typeof(Direction)).OfType <Direction>().Where(d => d != Direction.none).ToList();
var wallAwareness = WallAwareness.Select(v => v.ToString("F1")).Aggregate((a, b) => $"{a}, {b}");
var wallDistances = directions.Select(d => snake.GetWallDistance(d).ToString("F1")).Aggregate((a, b) => $"{a}, {b}");
var avoidRatesDbg = directions.Select(d => avoidRates.ElementAt((int)d).ToString("F1")).Aggregate((a, b) => $"{a}, {b}");
var foodAwareness = FoodAwareness.Select(v => v.ToString("F1")).Aggregate((a, b) => $"{a}, {b}");
var foodDistances = directions.Select(d => snake.GetFoodDistance(d).ToString("F1")).Aggregate((a, b) => $"{a}, {b}");
var eagerRatesDbg = directions.Select(d => eagerRates.ElementAt((int)d).ToString("F1")).Aggregate((a, b) => $"{a}, {b}");
var debug = string.Concat(
$"Gen. #{_generationId:00} / Snake #{_individualId:00} - {Fitness:F} pts", Environment.NewLine, Environment.NewLine,
"Wall Aware: ", wallAwareness, Environment.NewLine,
"Food Aware: ", foodAwareness, Environment.NewLine,
"Avoid. Lvl: ", AvoidLevel.ToString("F"), Environment.NewLine,
"Eager Lvl: ", EagerLevel.ToString("F"), Environment.NewLine, Environment.NewLine,
"Wall Dist.: ", wallDistances, Environment.NewLine,
"Avoid Rate: ", avoidRatesDbg, Environment.NewLine,
"Food Dist.: ", foodDistances, Environment.NewLine,
"Eager Rate: ", eagerRatesDbg, Environment.NewLine, Environment.NewLine,
"Dir. Taken: ", direction
);
Program.NotifyDebugData(debug);
}
// snake game commands
public void SnakeGame_OnSnakeMove(SnakePlayer snake)
{
_playedMoves++;
UpdateFitness(snake);
var directions = Enum.GetValues(typeof(Direction)).OfType <Direction>().Where(d => d != Direction.none).OrderBy(d => (int)d).ToList();
//var avoidRates = directions.Select((d, i) => (dir: d, rate: WallAwareness[i] / 100 * (MAX_DISTANCE[(int)d] - snake.GetWallDistance(d)) * AvoidLevel / 100));
//var eagerRates = directions.Select((d, i) => (dir: d, rate: FoodAwareness[i] / 100 * (MAX_DISTANCE[(int)d] - snake.GetFoodDistance(d)) * EagerLevel / 100));
var eagerRates = directions.Select((d, i) => (dir: d, rate: FoodAwareness[i] / 100 * (100d * snake.GetFoodDistance(d) / MAX_DISTANCE[(int)d]) * EagerLevel / 100));
// implement random factor to adjust rates randomly
//var randomFactor = new []
//{
// RandomData.GetInt(0, Convert.ToInt32(AvoidLevel * 100)),
// RandomData.GetInt(0, Convert.ToInt32(EagerLevel * 100)),
//};
//var avoidRateAvg = avoidRates.Average(e => e.rate); // MIN values are the best to take...
var eagerRateAvg = eagerRates.Average(e => e.rate); // MAX values are the best to take...
//var result = eagerRateAvg > avoidRateAvg
// ? eagerRates.OrderByDescending(e => e.rate)
// : avoidRates.OrderBy(e => e.rate);
var result = eagerRates.Where(e => e.rate > 0).OrderBy(e => e.rate);
//var notAllowedDirection = GetOppositeDirection(snake.Direction);
//var maxRate = result.First(e => e.dir != notAllowedDirection);
var maxRate = result.Any() ? result.First() : eagerRates.OrderBy(e => e.rate).First();
snake.SetDirection(maxRate.dir);
ShowDebugData(maxRate.dir, snake, eagerRates.Select(i => i.rate), eagerRates.Select(i => i.rate));
}
