private void PopulateFieldsWithFood(int amount)
{
for (int i = 0; i < amount; ++i)
{
Food food = Foods.GetRandomFood();
GetRandomEmptyField().SetContent(Field.CONTENT.Food, food.Sprite, food.Value, food.Predicted);
}
}
public static BoardInput CreateBoard(Field[][] fields)
{
string dimensions = (Config.FIELD_ROWS_AMOUNT).ToString() + " " + (Config.FIELD_COLUMNS_AMOUNT).ToString();
string walls = Config.WALLS_AMOUNT.ToString();
string foods = Config.FIELDS_WITH_FOOD_AMOUNT.ToString();
string coins = Config.FIELDS_WITH_COINS_AMOUNT.ToString();
File.WriteAllText(".\\config.txt", dimensions.Trim() + " " + walls.Trim() + " " + foods.Trim() + " " + coins.Trim());
var proc = new Process();
proc.StartInfo.UseShellExecute = false;
proc.StartInfo.RedirectStandardOutput = true;
proc.StartInfo.FileName = "node";
proc.StartInfo.Arguments = Config.PATH_BOARD_GENERATION + "\\index.js";
proc.Start();
string output = proc.StandardOutput.ReadToEnd().Trim();
proc.WaitForExit();
string[] outputLines = output.Split('\n');
int[] outputAgent = outputLines[0].Split(' ').Select((input) => Int32.Parse(input)).ToArray();
Agent.ORIENTATION agentOrientation = outputLines[1] == "polnoc"
? Agent.ORIENTATION.North
: outputLines[1] == "poludnie"
? Agent.ORIENTATION.South
: outputLines[1] == "wschod"
? Agent.ORIENTATION.East
: Agent.ORIENTATION.West;
Agent agent;
int agentX = outputAgent[0] % 2 == 0 ? outputAgent[0] / 2 : (outputAgent[0] - 1) / 2;
int agentY = outputAgent[1] % 2 == 0 ? outputAgent[1] / 2 : (outputAgent[1] - 1) / 2;
agent = new Agent(fields[agentX][agentY], agentOrientation);
int[] outputFoods = outputLines[3].Split(' ').Select((input) => Int32.Parse(input)).ToArray();
for (int i = 0; i < outputFoods.Length; i += 2)
{
int foodX = outputFoods[i] % 2 == 0 ? outputFoods[i] / 2 : (outputFoods[i] - 1) / 2;
int foodY = outputFoods[i + 1] % 2 == 0 ? outputFoods[i + 1] / 2 : (outputFoods[i + 1] - 1) / 2;
Food food = Foods.GetRandomFood();
fields[foodX][foodY].SetContent(Field.CONTENT.Food, food.Sprite, food.Value, food.Predicted);
}
int[] outputCoins = outputLines[4].Split(' ').Select((input) => Int32.Parse(input)).ToArray();
Coin[] coinObjects = Coins.GetRandomCoins(outputCoins.Length / 2);
for (int i = 0; i < outputCoins.Length; i += 2)
{
int coinX = outputCoins[i] % 2 == 0 ? outputCoins[i] / 2 : (outputCoins[i] - 1) / 2;
int coinY = outputCoins[i + 1] % 2 == 0 ? outputCoins[i + 1] / 2 : (outputCoins[i + 1] - 1) / 2;
Coin coin = coinObjects[i / 2];
fields[coinX][coinY].SetContent(Field.CONTENT.Coins, coin.Sprite, coin.Value, coin.Predicted);
}
List <Wall> wallsResult = new List <Wall>();
int[] outputObstacles = outputLines[2].Split(' ').Select((input) => Int32.Parse(input)).ToArray();
for (int i = 0; i < outputObstacles.Length; i += 2)
{
if (!(outputObstacles[i] % 2 == 1 && outputObstacles[i + 1] % 2 == 1))
{
if (outputObstacles[i] % 2 == 0)
{
int x = outputObstacles[i] / 2;
int y = (outputObstacles[i + 1] - 1) / 2;
wallsResult.Add(new Wall(fields[x][y], fields[x][y + 1]));
}
else
{
int x = (outputObstacles[i] - 1) / 2;
int y = outputObstacles[i + 1] / 2;
wallsResult.Add(new Wall(fields[x][y], fields[x + 1][y]));
}
}
}
return(new BoardInput(wallsResult, agent));
}
