JoelForkTest/Game1/Sources/Smart/AI.cs

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using Microsoft.Xna.Framework;
using Microsoft.Xna.Framework.Graphics;


class AI
{
    private Vector2 tractorPos;
    private Vector2 housePos;
    private Farm farm;
    private Vector2 Size;
    private Vector2 targetPos;
    private Inventory inventory = new Inventory();
    private int Rotation;
    private PriorityQueueC5 PriorityQueueC5;
    private Astar astar = new Astar();

    private Random r = new Random();


    public void init()
    {
        inventory.initInventorySystem();
        inventory.addItem(1, 1);
        inventory.addItem(1, 1);
        inventory.addItem(3, 1);
        inventory.addItem(5, 1);
        inventory.addItem(7, 1);
        inventory.addItem(7, 1);
        inventory.addItem(10, 1);
        inventory.addItem(10, 1);
        inventory.useItem(10, 1);

    }


    public void update(Farm newFarm, Vector2 newSize, Vector2 newTractorPos, Vector2 newHousePos, Vector2 newtargetPos, int rotation)
    {
        tractorPos = new Vector2((int)newTractorPos.X, (int)newTractorPos.Y);
        housePos = new Vector2((int)newHousePos.X, (int)newHousePos.Y);
        targetPos = newtargetPos;
        farm = newFarm;
        Size = newSize;
        Rotation = rotation;
        astar.update(farm.getCrops(), Size, tractorPos, housePos, rotation);
    }


    public void drawInventory(Input input, SpriteBatch spriteBatch, SpriteFont Bold, Cargo itemStorageDefined)
    {
        inventory.printItems(input, spriteBatch, Bold);
    }


    public Vector2 newTarget()
    {
        PriorityQueueC5 queue = new PriorityQueueC5();
        int score = 0;
        Vector2 newTarget;
        for (int x = 0; x < Size.X; x++)
            for (int y = 0; y < Size.Y; y++)
            {
                if (farm.getCrop(x, y).getStatus() >= 2 && tractorPos != new Vector2(x, y))
                {
                    if (farm.getCrop(x, y).getStatus() == 4 && farm.getCrop(x, y).getCropTimer() != 1)
                    {
                        //do nothing
                    }
                    else
                    {
                        score = calculateSoilScore(x, y);
                        queue.AddToQueue(x, y, score);
                    }
                }
            }

        newTarget = GetMinFNode(5, queue);
        return newTarget;
    }

    public Farm changeCropStatus()
    {
        if (farm.getCrop((int)tractorPos.X, (int)tractorPos.Y).getCropTimer() == 1)
        {
            farm.setCropStatus(tractorPos.X, tractorPos.Y);
        }
        return farm;
    }

    public Inventory getInventory()
    {
        return inventory;
    }

    private int calculateSoilScore(int x, int y)
    {
        int score = 0;
        int statusScore = 0;
        int aproxDistance = (int)(Math.Abs(x - tractorPos.X) + Math.Abs(y - tractorPos.Y));
        CropTypesHolder holder = new CropTypesHolder();
        holder.init();

        Crops crop = farm.getCrop(x, y);
        SoilProperties soilP = crop.getSoilProperties();
        int cropType = crop.getCropType();
        CropTypes avgHold = holder.getPresetCropTypes(cropType);

        if (crop.getStatus() == 2)
            statusScore = 25;
        else if (crop.getStatus() == 3)
            statusScore = 5;
        else if (crop.getStatus() == 4)
            statusScore = -10;
        else
            statusScore = 1;

        float[] currentValue = { soilP.Temperature, soilP.Humidity, soilP.Moisture, soilP.Nitrogen, soilP.Potassium, soilP.Phosphorous };
        float[] targetAvg = { avgHold.Temparature, avgHold.Humidity, avgHold.Moisture, avgHold.Nitrogen, avgHold.Potassium, avgHold.Phosphorous };
        float[,] minMax = { {22,30}, {22*1.9f, 30*2.1f}, {20, 70}, {4, 55}, {0, 28}, {0, 60} };         //probably should make it dynamic
        float[] normVal = normArray(minMax, currentValue);
        float[] normAvg = normArray(minMax, targetAvg);

        for (int i = 0; i < normVal.Count(); i++)
        {
            score = score + (int)Math.Round(System.Convert.ToDouble(10*(1 - Math.Abs(normAvg[i] - normVal[i]))));
        }

        return score + (-aproxDistance * 3) + statusScore;
    }

    private float[] normArray(float[,] minMax, float[] values)
    {
        float[] temp = new float[values.Count()];
        if (minMax.GetLength(0) != values.Count())
            throw new InvalidOperationException("Values and their MinMax arrays are not of the same length!");

        for (int i = 0; i < values.Count(); i++)
            temp[i] = norm(minMax[i, 0], minMax[i, 1], values[i]);

        return temp;
    }

    private float norm(float min, float max, float val)
    {
        return ((val - min) / (max - min));
    }

    public Vector2 GetMinFNode(int testSize, PriorityQueueC5 queue)
    {
        int index = 0;
        int min = 999;
        Path path = new Path();
        List<PQEntry> entryList = new List<PQEntry>();
        for (int i = 0; i < testSize; i++)
        {
            entryList.Add(queue.DeleteMax());
        }

        for (int i = 0; i < testSize; i++)
        {
            Nodes temp = new Nodes(entryList[i].Coordinates);
            path = astar.FindPath(false);
            Nodes tempF = new Nodes(path.getByIndex(0));
            if (min > tempF.getF())
            {
                min = tempF.getF();
                index = i;
            }
        }
        PQEntry minEntry = entryList[index];
        entryList.RemoveAt(index);

        //add the non-minimum entries back to the queue.
        queue.AddAll(entryList);

        return minEntry.Coordinates;
    }

}