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fixed the croptype change and runs the ML for those that change in the middle of the day with no lag

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This commit is contained in:
Joel 2020-05-25 13:13:11 +02:00
parent 631ad7c12f
commit b6078e14ac
5 changed files with 53 additions and 39 deletions
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64
Game1/Sources/Crops/Crops.cs
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@ -14,7 +14,7 @@ class Crops
private int cropType = 0; private int cropType = 0;
private float Timer = 1; private float Timer = 1;
private int UpdateCrop; private int UpdateCrop;
private float fullTimer; private float fullTimer = 1;
private bool housePos = false; private bool housePos = false;
private Vector2 Size; private Vector2 Size;
private Random r = new Random(); private Random r = new Random();
@ -24,6 +24,7 @@ class Crops
private float tempRain; private float tempRain;
private float prevpred; private float prevpred;
private DayNightCycle Time = new DayNightCycle(); private DayNightCycle Time = new DayNightCycle();
private int previousDay = 0;
@ -244,13 +245,17 @@ class Crops
public void setCropType(int Type, CropTypes nCropType) public void setCropType(int Type, CropTypes nCropType)
{ {
if (Timer == fullTimer)
DataSet = nCropType;
cropType = Type;
if (Status == 3)
{ {
soilProperties.Area = r.Next(nCropType.AreaMin, nCropType.AreaMax); CropTypes temp = DataSet;
DataSet = nCropType;
cropType = Type;
if (Status > 1)
{
soilProperties.Area = r.Next(nCropType.AreaMin, nCropType.AreaMax);
if (temp != nCropType)
updateMLModel(DataSet, 1.0f);
}
} }
} }
@ -275,6 +280,7 @@ class Crops
public void setStatus(int newStatus) public void setStatus(int newStatus)
{ {
Status = newStatus; Status = newStatus;
Timer = getCropTimer();
} }
public void setOriginalStatus() public void setOriginalStatus()
@ -334,25 +340,9 @@ class Crops
public float getProductionRate(CropTypes Sample) public float getProductionRate(CropTypes Sample)
{ {
float predProd = 1.0f; float predProd = 1.0f;
if (Status > 1 && Time.nDay()) if (Status > 1 && Time.getDays() != previousDay)
{ {
bool correctSeason = false; predProd = updateMLModel(Sample, predProd);
foreach (string i in Sample.Season)
{
if (i == Time.getTimeOfYear() || i == "Whole Year")
{
correctSeason = true;
break;
}
}
if (correctSeason)
{
predProd = Game1.Sources.ML_Joel.Engine.PredictProductionwithRainfall(soilProperties, Time);
predProd = (predProd / soilProperties.Area) / 2;
}
else
predProd = 0.20f;
} }
prevpred = predProd; prevpred = predProd;
ProductionRate = 1; ProductionRate = 1;
@ -396,6 +386,30 @@ class Crops
return ProductionRate * prevpred; return ProductionRate * prevpred;
} }
public float updateMLModel(CropTypes Sample, float predProd)
{
previousDay = Time.getDays();
bool correctSeason = false;
foreach (string i in Sample.Season)
{
if (i == Time.getTimeOfYear() || i == "Whole Year")
{
correctSeason = true;
break;
}
}
if (correctSeason)
{
predProd = Game1.Sources.ML_Joel.Engine.PredictProductionwithRainfall(soilProperties, Time);
predProd = (predProd / soilProperties.Area) / 2;
}
else
predProd = 0.20f;
return predProd;
}
public float getProductionRate() public float getProductionRate()
{ {
return ProductionRate; return ProductionRate;

4
Game1/Sources/Crops/Farm.cs
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@ -20,7 +20,7 @@ class Farm
private float[][] whiteNoise; private float[][] whiteNoise;
private float[][] perlinNoise; private float[][] perlinNoise;
private DayNightCycle Time; private DayNightCycle Time;
private float updatePerc = 0.10f; private float updatePerc = 0.01f;
private float updateProgress = 0; private float updateProgress = 0;
private float nextUpdate = 0; private float nextUpdate = 0;
private int productionUpdate = 0; private int productionUpdate = 0;
@ -141,7 +141,7 @@ class Farm
Update = 0; Update = 0;
} }
updateRainMapPosition(Size); updateRainMapPosition(Size);
if (productionUpdate == 60) if (productionUpdate == 2)
{ {
nextUpdate = updateProgress + updatePerc; nextUpdate = updateProgress + updatePerc;
for (int i = (int)(updateProgress * Size.X); i < nextUpdate * Size.X; i++) for (int i = (int)(updateProgress * Size.X); i < nextUpdate * Size.X; i++)

18
Game1/Sources/ML/MLModel.cs
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@ -11,7 +11,7 @@ using Microsoft.ML.Trainers.LightGbm;
class MLModel class MLModel
{ {
private static MLContext mlContext = new MLContext(seed: 1); private static MLContext mlContext = new MLContext(seed: 1);
/*
private static string path = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/Fertilizer_Prediction.csv"; private static string path = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/Fertilizer_Prediction.csv";
private static string modelpath = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodel"; private static string modelpath = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodel";
private static string report = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report"; private static string report = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report";
@ -19,15 +19,15 @@ class MLModel
private static string pathBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/BigFertPredict.csv"; private static string pathBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/BigFertPredict.csv";
private static string modelpathBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodelBig"; private static string modelpathBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodelBig";
private static string reportBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report_BigModel"; private static string reportBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report_BigModel";
/* */
private static string pathBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/BigFertPredict.csv"; private static string pathBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/BigFertPredict.csv";
private static string modelpathBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodelBig"; private static string modelpathBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodelBig";
private static string reportBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report_BigModel"; private static string reportBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report_BigModel";
private static string path = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/Fertilizer_Prediction.csv";
private static string modelpath = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodel";
private static string report = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report";
private static string path = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/Fertilizer_Prediction.csv";
private static string modelpath = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodel";
private static string report = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report";
*/
// Loading data, creatin and saving ML model for smaller dataset (100) // Loading data, creatin and saving ML model for smaller dataset (100)
public static void CreateModel() public static void CreateModel()
{ {

6
Game1/Sources/ML_Joel/Model.cs
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@ -13,7 +13,7 @@ namespace Game1.Sources.ML_Joel
class Model class Model
{ {
private static MLContext mlContext = new MLContext(seed: 1); private static MLContext mlContext = new MLContext(seed: 1);
/*
private static string path = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/Rainfall.csv"; private static string path = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/Rainfall.csv";
private static string modelpath = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodel_Joel"; private static string modelpath = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodel_Joel";
private static string report = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report_Joel"; private static string report = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report_Joel";
@ -21,8 +21,8 @@ namespace Game1.Sources.ML_Joel
private static string path_area = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/Rainfall_area.csv"; private static string path_area = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/Rainfall_area.csv";
private static string modelpath_area = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodel_Joel_area"; private static string modelpath_area = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodel_Joel_area";
private static string report_area = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report_Joel_area"; private static string report_area = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report_Joel_area";
*/
/*
private static string path = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/Rainfall.csv"; private static string path = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/Rainfall.csv";
private static string modelpath = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodel_Joel"; private static string modelpath = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodel_Joel";
private static string report = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report_Joel"; private static string report = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report_Joel";
@ -30,7 +30,7 @@ namespace Game1.Sources.ML_Joel
private static string path_area = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/Rainfall_area.csv"; private static string path_area = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/Rainfall_area.csv";
private static string modelpath_area = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodel_Joel_area"; private static string modelpath_area = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodel_Joel_area";
private static string report_area = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report_Joel_area"; private static string report_area = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report_Joel_area";
*/
// Loading data, creatin and saving ML model for smaller dataset (100) // Loading data, creatin and saving ML model for smaller dataset (100)
public static void CreateModel() public static void CreateModel()
{ {