Merge branch 'Oskar-ML' of https://git.wmi.amu.edu.pl/s425077/PotatoPlan into Oskar-ML
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commit
4aaf7077a9
@ -285,7 +285,7 @@ class Crops
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overhead = 0.0f;
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}
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r = (1.0f - productionRate) * 2;
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r = (1.0f - productionRate) * 4;
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g = 0.0f + productionRate;
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b = 0.0f + (float)Math.Pow((double)overhead * 10, 2);
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a = 255;
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@ -314,6 +314,11 @@ class Crops
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return ProductionRate;
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}
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public float getProductionRate()
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{
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return ProductionRate;
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}
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public float compareToDatset(float i, float j)
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{
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if (i < j)
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@ -12,6 +12,7 @@ class Farm
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private Random r;
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private CropTypesHolder PresetCrops = new CropTypesHolder();
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private int Update;
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private Astar astar = new Astar();
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//initializes the crops
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@ -41,6 +42,24 @@ class Farm
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crops[i, j].init();
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}
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}
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int dirtCount = 0;
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for (int i = 0; i < 99; i++)
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{
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for (int j = 0; j < 99; j++)
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{
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if (crops[i, j].getStatus() == 2)
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{
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dirtCount++;
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if (!astar.isReachable(crops, new Vector2((int)i, (int)j), housepos))
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{
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crops[i, j].setStatus(1);
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dirtCount--;
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}
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}
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}
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}
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if (dirtCount == 0)
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init(Size, housepos);
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}
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public void updateFarm(Vector2 Size)
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@ -11,12 +11,12 @@ using Microsoft.ML.Trainers.LightGbm;
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class MLModel
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{
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private static MLContext mlContext = new MLContext(seed: 1);
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private static string path = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/Fertilizer_Prediction.csv";
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private static string modelpath = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodel";
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private static string report = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report";
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private static string pathBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/BigFertPredict.csv";
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private static string modelpathBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodelBig";
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private static string reportBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report_BigModel";
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private static string path = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/Fertilizer_Prediction.csv";
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private static string modelpath = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodel";
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private static string report = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report";
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private static string pathBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/BigFertPredict.csv";
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private static string modelpathBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodelBig";
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private static string reportBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report_BigModel";
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// Loading data, creatin and saving ML model for smaller dataset (100)
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public static void CreateModel()
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@ -42,9 +42,9 @@ class Astar
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var adjacentNodes = new List<Nodes>()
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{
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new Nodes(new Vector2(currentPos.X, currentPos.Y+1), 0),
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new Nodes(new Vector2(currentPos.X, currentPos.Y - 1), 0),
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new Nodes(new Vector2(currentPos.X + 1, currentPos.Y), 1),
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new Nodes(new Vector2(currentPos.X, currentPos.Y - 1), 2),
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new Nodes(new Vector2(currentPos.X, currentPos.Y + 1), 2),
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new Nodes(new Vector2(currentPos.X - 1, currentPos.Y), -1),
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};
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@ -163,4 +163,65 @@ class Astar
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return path;
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}
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public bool isReachable(Crops[,] crops, Vector2 targetPos, Vector2 start)
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{
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Rotation = 0;
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int g = 0;
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int direction = ConvertRotation();
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Path path = new Path();
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MinHeap openList = new MinHeap();
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MinHeap closedList = new MinHeap();
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Nodes target = new Nodes(targetPos);
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Nodes startPos = new Nodes(tractorPos, direction);
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Nodes current = null;
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openList.Insert(startPos);
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while (openList.GetSize() > 0)
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{
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current = openList.getMin();
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closedList.Insert(current);
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openList.removeMin();
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direction = current.getDirection();
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if (current.getCords() == target.getCords())
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break;
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var adjacentNodes = GetAdjacentNodes(current.getCords());
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foreach (var adjacentNode in adjacentNodes)
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{
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if (closedList.Exists(adjacentNode.getCords())) // check if adjacent node is on closed list, if it is, skip it
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continue;
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g = current.getG() + crops[(int)adjacentNode.getCords().X, (int)adjacentNode.getCords().Y].getCostOnMovement() + CalculateRotationCost(direction, adjacentNode.getDirection()); // calculate g - cost from start point
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if (!(openList.Exists(adjacentNode.getCords()))) // if adjacent node is not on open list, add it
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{
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adjacentNode.setG(g);
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adjacentNode.setH(ComputeHScore(adjacentNode.getCords(), target.getCords()));
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adjacentNode.calculateF();
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adjacentNode.setParent(current);
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openList.Insert(adjacentNode);
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}
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else
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{
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if (g + adjacentNode.getH() < adjacentNode.getF()) // check if adjacent node is a better path than the current one
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{
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adjacentNode.setG(g);
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adjacentNode.calculateF();
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adjacentNode.setParent(current);
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}
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}
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}
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}
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openList.deleteHeap();
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closedList.deleteHeap();
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if (current.getCords() != targetPos)
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return false;
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else
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return true;
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}
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}
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@ -54,10 +54,12 @@ class AI
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int testsize = 2;
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Path newTarget;
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Nodes nodes;
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if (astar.GetAdjacentNodes(tractorPos).Count == 0)
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nodes = new Nodes(housePos);
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else
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nodes = astar.GetAdjacentNodes(tractorPos)[0];
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if (tractorPos != housePos)
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if (inventory.getWeight() == inventory.getMaxWeight() || inventory.isMissingFertilizer())
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{
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@ -71,9 +73,9 @@ class AI
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{
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if (farm.getCrop(x, y).getStatus() >= 2 && tractorPos != new Vector2(x, y))
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{
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if (farm.getCrop(x, y).getStatus() != 2 && (farm.getCrop(x, y).isSaturated(5) || !farm.getCrop(x, y).belowCapacity()))
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if (farm.getCrop(x, y).getStatus() != 2 && (farm.getCrop(x, y).getProductionRate() > 0.99f || !farm.getCrop(x, y).belowCapacity()))
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{
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//do nothing
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//skip growing fields with high production rate
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}
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else
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{
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@ -84,22 +86,16 @@ class AI
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}
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}
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}
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if (count > 0)
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break;
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else if (queue.getCount() == 0)
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{
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astar.update(farm.getCrops(), Size, tractorPos, housePos, nodes.getCords(), Rotation);
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return newTarget = astar.FindPath(true);
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}
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else //if (tractorPos != housePos)
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return newTarget = GetMaxFNode(Math.Min(queue.getCount(), testsize), queue);
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}
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if (queue.getCount() == 0)
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{
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astar.update(farm.getCrops(), Size, tractorPos, housePos, nodes.getCords(), Rotation);
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return newTarget = astar.FindPath(true);
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}
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newTarget = GetMinFNode(Math.Min(testsize, count), queue);
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newTarget = GetMinFNode(Math.Min(testsize, queue.getCount()), queue);
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queue = null;
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return newTarget;
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@ -115,12 +111,11 @@ class AI
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if (farm.getCrop(x, y).getStatus() >= 2)
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{
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fertilizer = fertilizerHolder.GetFertilizer(Engine.PredictFertilizer(farm.getCrop(x, y), farm.getPresetCropTypes(farm.getCrop(x, y).getCropType())));
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while (!(farm.getCrop(x, y).isSaturated()) && farm.getCrop(x, y).belowCapacity() && inventory.useItem(fertilizerHolder.GetFertilizerID(fertilizer.Name), 0))
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while (!(farm.getCrop(x, y).isSaturated(-1)) && farm.getCrop(x, y).belowCapacity() && inventory.useItem(fertilizerHolder.GetFertilizerID(fertilizer.Name), 0))
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{
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farm.getCrop(x, y).Fertilize(fertilizer);
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fertilizer = fertilizerHolder.GetFertilizer(Engine.PredictFertilizer(farm.getCrop(x, y), farm.getPresetCropTypes(farm.getCrop(x, y).getCropType())));
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WaitTwoFrames = true;
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//System.Threading.Thread.Sleep(5);
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}
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}
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if (farm.getCrop(x, y).getCropTimer() == 1)
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@ -142,32 +137,29 @@ class AI
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private int calculateSoilScore(int x, int y)
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{
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int score = 0;
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int statusScore = 0;
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int timerScore = 0;
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int saturationScore = 0;
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int score = 1;
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int statusScore = 1;
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int timerScore = 1;
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int saturationScore = 1;
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int productionRateScore = 1;
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int aproxDistance = (int)(Math.Abs(x - tractorPos.X) + Math.Abs(y - tractorPos.Y));
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CropTypesHolder holder = new CropTypesHolder();
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holder.init();
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Crops crop = farm.getCrop(x, y);
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SoilProperties soilP = crop.getSoilProperties();
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int cropType = crop.getCropType();
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CropTypes avgHold = holder.getPresetCropTypes(cropType);
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if (crop.getStatus() == 2)
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statusScore = 50;
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else if (crop.getStatus() == 3)
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statusScore = -100;
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else
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statusScore = 1;
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if (crop.getCropTimer() == 1)
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timerScore = 100;
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else
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statusScore = 0;
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score = (int)(crop.getProductionRate(avgHold) * 10);
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productionRateScore = (int)(crop.getProductionRate() * 25);
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score = (int)(crop.getProductionRate() * -50);
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if (crop.getStatus() == 2)
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{
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statusScore = 50;
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productionRateScore = 0;
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}
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else if (crop.getStatus() == 3)
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statusScore = -100;
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if (!crop.isSaturated(2))
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saturationScore = 5;
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