PotatoPlan/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 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;
        int count = 0;
        int testsize = 2;
        Vector2 newTarget;
        while (true)
        {
            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))
                    {
                        score = calculateSoilScore(x, y);
                        queue.AddToQueue(x, y, score);
                        if (farm.getCrop(x, y).getCropTimer() == 1 || farm.getCrop(x, y).getStatus() == 2)
                            count++;
                    }
                }
            if (count > 0)
                break;
            else if (tractorPos != housePos)
                return newTarget = GetMaxFNode(testsize, queue);

            /*
            else if (tractorPos == housePos)
            {
                List<Nodes> temp = astar.GetAdjacentNodes(tractorPos);
                return temp[0].getCords();
            }
            */
        }
        newTarget = GetMinFNode(Math.Min(testsize, count), 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 timerScore = 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 = -100;
        else
            statusScore = 1;

        if (crop.getCropTimer() == 1)
            timerScore = 999;
        else
            statusScore = 0;

        score = (int)(crop.getProductionRate(avgHold) * 10);

        return score + (-aproxDistance * 5) + statusScore + timerScore;
    }

    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 = 9999;
        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;
    }

    public Vector2 GetMaxFNode(int testSize, PriorityQueueC5 queue)
    {
        int index = 0;
        int max = -9999;
        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 (max < tempF.getF())
            {
                max = 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;
    }



}