# Window.cs

``` cs
/// Author : Maxime Rohmer
/// Date : 08/05/2023
/// File : Window.cs
/// Brief : Default Window object that is mainly expected to be inherited.
/// Version : 0.1

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Drawing;
using System.IO;
using Tesseract;
using System.Text.RegularExpressions;
using System.Drawing.Drawing2D;

namespace Test_Merge
{
    public class Window
    {
        private Rectangle _bounds;
        private Bitmap _image;
        private string _name;
        protected TesseractEngine Engine;
        public Rectangle Bounds { get => _bounds; private set => _bounds = value; }
        public Bitmap Image { get => _image; set => _image = value; }
        public string Name { get => _name; protected set => _name = value; }
        //This will have to be changed if you want to make it run on your machine
        public static DirectoryInfo TESS_DATA_FOLDER = new DirectoryInfo(@"C:\Users\Moi\Pictures\SeleniumScreens\TessData");

        public Bitmap WindowImage
        {
            get
            {
                //This little trickery lets you have the image that the window sees
                Bitmap sample = new Bitmap(Bounds.Width, Bounds.Height);
                Graphics g = Graphics.FromImage(sample);
                g.DrawImage(Image, new Rectangle(0, 0, sample.Width, sample.Height), Bounds, GraphicsUnit.Pixel);
                return sample;
            }
        }
        public Window(Bitmap image, Rectangle bounds, bool generateEngine = true)
        {
            Image = image;
            Bounds = bounds;
            if (generateEngine)
            {
                Engine = new TesseractEngine(TESS_DATA_FOLDER.FullName, "eng", EngineMode.Default);
                Engine.DefaultPageSegMode = PageSegMode.SingleLine;
            }
        }
        /// <summary>
        /// Method that will have to be used by the childrens to let the model make them decode the images they have
        /// </summary>
        /// <returns>Returns an object because we dont know what kind of return it will be</returns>
        public virtual async Task<Object> DecodePng()
        {
            return "NaN";
        }
        /// <summary>
        /// Method that will have to be used by the childrens to let the model make them decode the images they have
        /// </summary>
        /// <param name="driverList">This is a list of the different possible drivers in the race. It should not be too big but NEVER be too short</param>
        /// <returns>Returns an object because we dont know what kind of return it will be</returns>
        public virtual async Task<Object> DecodePng(List<string> driverList)
        {
            return "NaN";
        }
        /// <summary>
        /// This converts an image into a byte[]. It can be usefull when doing unsafe stuff. Use at your own risks
        /// </summary>
        /// <param name="inputImage">The image you want to convert</param>
        /// <returns>A byte array containing the image informations</returns>
        public static byte[] ImageToByte(Image inputImage)
        {
            using (var stream = new MemoryStream())
            {
                inputImage.Save(stream, System.Drawing.Imaging.ImageFormat.Png);
                return stream.ToArray();
            }
        }
        /// <summary>
        /// This method is used to recover a time from a PNG using Tesseract OCR
        /// </summary>
        /// <param name="windowImage">The image where the text is</param>
        /// <param name="windowType">The type of window it is</param>
        /// <param name="Engine">The Tesseract Engine</param>
        /// <returns>The time in milliseconds</returns>
        public static async Task<int> GetTimeFromPng(Bitmap windowImage, OcrImage.WindowType windowType, TesseractEngine Engine)
        {
            //Kind of a big method but it has a lot of error handling and has to work with three special cases
            string rawResult = "";
            int result = 0;

            switch (windowType)
            {
                case OcrImage.WindowType.Sector:
                    //The usual sector is in this form : 33.456
                    Engine.SetVariable("tessedit_char_whitelist", "0123456789.");
                    break;
                case OcrImage.WindowType.LapTime:
                    //The usual Lap time is in this form : 1:45:345
                    Engine.SetVariable("tessedit_char_whitelist", "0123456789.:");
                    break;
                case OcrImage.WindowType.Gap:
                    //The usual Gap is in this form : + 34.567
                    Engine.SetVariable("tessedit_char_whitelist", "0123456789.+");
                    break;
                default:
                    Engine.SetVariable("tessedit_char_whitelist", "");
                    break;
            }


            Bitmap enhancedImage = new OcrImage(windowImage).Enhance(windowType);

            var tessImage = Pix.LoadFromMemory(ImageToByte(enhancedImage));

            Page page = Engine.Process(tessImage);
            Graphics g = Graphics.FromImage(enhancedImage);
            // Get the iterator for the page layout
            using (var iter = page.GetIterator())
            {
                // Loop over the elements of the page layout
                iter.Begin();
                do
                {
                    // Get the text for the current element
                    try
                    {
                        rawResult += iter.GetText(PageIteratorLevel.Word);
                    }
                    catch
                    {
                        //nothing we just dont add it if its not a number
                    }
                } while (iter.Next(PageIteratorLevel.Word));
            }

            List<string> rawNumbers;

            //In the gaps we can find '+' but we dont care about it its redondant a driver will never be - something
            if (windowType == OcrImage.WindowType.Gap)
                rawResult = Regex.Replace(rawResult, "[^0-9.:]", "");

            //Splits into minuts seconds miliseconds
            rawNumbers = rawResult.Split('.', ':').ToList<string>();
            //removes any empty cells (tho this usually sign of a really bad OCR implementation tbh will have to be fixed higher in the chian)
            rawNumbers.RemoveAll(x => ((string)x) == "");

            if (rawNumbers.Count == 3)
            {
                //mm:ss:ms
                result = (Convert.ToInt32(rawNumbers[0]) * 1000 * 60) + (Convert.ToInt32(rawNumbers[1]) * 1000) + Convert.ToInt32(rawNumbers[2]);
            }
            else
            {
                if (rawNumbers.Count == 2)
                {
                    //ss:ms
                    result = (Convert.ToInt32(rawNumbers[0]) * 1000) + Convert.ToInt32(rawNumbers[1]);

                    if (result > 999999)
                    {
                        //We know that we have way too much seconds to make a minut
                        //Its usually because the ":" have been interpreted as a number
                        int minuts = (int)(rawNumbers[0][0] - '0');
                        // rawNumbers[0][1] should contain the : that has been mistaken
                        int seconds = Convert.ToInt32(rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString());
                        int ms = Convert.ToInt32(rawNumbers[1]);
                        result = (Convert.ToInt32(minuts) * 1000 * 60) + (Convert.ToInt32(seconds) * 1000) + Convert.ToInt32(ms);
                    }
                }
                else
                {
                    if (rawNumbers.Count == 1)
                    {
                        try
                        {
                            result = Convert.ToInt32(rawNumbers[0]);
                        }
                        catch
                        {
                            //It can be because the input is empty or because its the LEADER bracket
                            result = 0;
                        }
                    }
                    else
                    {
                        //Auuuugh
                        result = 0;
                    }
                }
            }
            page.Dispose();
            return result;
        }
        /// <summary>
        /// Method that recovers strings from an image using Tesseract OCR
        /// </summary>
        /// <param name="WindowImage">The image of the window that contains text</param>
        /// <param name="Engine">The Tesseract engine</param>
        /// <param name="allowedChars">The list of allowed chars</param>
        /// <param name="windowType">The type of window the text is on. Depending on the context the OCR will behave differently</param>
        /// <returns>the string it found</returns>
        public static async Task<string> GetStringFromPng(Bitmap WindowImage, TesseractEngine Engine, string allowedChars = "", OcrImage.WindowType windowType = OcrImage.WindowType.Text)
        {
            string result = "";

            Engine.SetVariable("tessedit_char_whitelist", allowedChars);

            Bitmap rawData = WindowImage;
            Bitmap enhancedImage = new OcrImage(rawData).Enhance(windowType);

            Page page = Engine.Process(enhancedImage);
            using (var iter = page.GetIterator())
            {
                iter.Begin();
                do
                {
                    result += iter.GetText(PageIteratorLevel.Word);
                } while (iter.Next(PageIteratorLevel.Word));
            }
            page.Dispose();
            return result;
        }
        /// <summary>
        /// Get a smaller image from a bigger one
        /// </summary>
        /// <param name="inputBitmap">The big bitmap you want to get a part of</param>
        /// <param name="newBitmapDimensions">The dimensions of the new bitmap</param>
        /// <returns>The little bitmap</returns>
        protected Bitmap GetSmallBitmapFromBigOne(Bitmap inputBitmap, Rectangle newBitmapDimensions)
        {
            Bitmap sample = new Bitmap(newBitmapDimensions.Width, newBitmapDimensions.Height);
            Graphics g = Graphics.FromImage(sample);
            g.DrawImage(inputBitmap, new Rectangle(0, 0, sample.Width, sample.Height), newBitmapDimensions, GraphicsUnit.Pixel);
            return sample;
        }
        /// <summary>
        /// Returns the closest string from a list of options
        /// </summary>
        /// <param name="options">an array of all the possibilities</param>
        /// <param name="testString">the string you want to compare</param>
        /// <returns>The closest option</returns>
        protected static string FindClosestMatch(List<string> options, string testString)
        {
            var closestMatch = "";
            var closestDistance = int.MaxValue;

            foreach (var item in options)
            {
                var distance = LevenshteinDistance(item, testString);
                if (distance < closestDistance)
                {
                    closestMatch = item;
                    closestDistance = distance;
                }
            }
            return closestMatch;
        }
        //This method has been generated with the help of ChatGPT
        /// <summary>
        /// Method that computes a score of distance between two strings
        /// </summary>
        /// <param name="string1">The first string (order irrelevant)</param>
        /// <param name="string2">The second string (order irrelevant)</param>
        /// <returns>The levenshtein distance</returns>
        protected static int LevenshteinDistance(string string1, string string2)
        {
            if (string.IsNullOrEmpty(string1))
            {
                return string.IsNullOrEmpty(string2) ? 0 : string2.Length;
            }

            if (string.IsNullOrEmpty(string2))
            {
                return string.IsNullOrEmpty(string1) ? 0 : string1.Length;
            }

            var d = new int[string1.Length + 1, string2.Length + 1];
            for (var i = 0; i <= string1.Length; i++)
            {
                d[i, 0] = i;
            }

            for (var j = 0; j <= string2.Length; j++)
            {
                d[0, j] = j;
            }

            for (var i = 1; i <= string1.Length; i++)
            {
                for (var j = 1; j <= string2.Length; j++)
                {
                    var cost = (string1[i - 1] == string2[j - 1]) ? 0 : 1;
                    d[i, j] = Math.Min(Math.Min(d[i - 1, j] + 1, d[i, j - 1] + 1), d[i - 1, j - 1] + cost);
                }
            }

            return d[string1.Length, string2.Length];
        }
        public virtual string ToJSON()
        {
            string result = "";

            result += "\"" + Name + "\"" + ":{" + Environment.NewLine;
            result += "\t" + "\"x\":" + Bounds.X + "," + Environment.NewLine;
            result += "\t" + "\"y\":" + Bounds.Y + "," + Environment.NewLine;
            result += "\t" + "\"width\":" + Bounds.Width + Environment.NewLine;
            result += "}";

            return result;
        }
    }
}

```