Crunchy-Downloader/CRD/Utils/Helpers.cs

using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.Linq;
using System.Runtime.Serialization;
using System.Text.RegularExpressions;
using System.Threading.Tasks;
using Newtonsoft.Json;

namespace CRD.Utils;

public class Helpers{
    /// <summary>
    /// Deserializes a JSON string into a specified .NET type.
    /// </summary>
    /// <typeparam name="T">The type of the object to deserialize to.</typeparam>
    /// <param name="json">The JSON string to deserialize.</param>
    /// <param name="serializerSettings">The settings for deserialization if null default settings will be used</param>
    /// <returns>The deserialized object of type T.</returns>
    public static T? Deserialize<T>(string json, JsonSerializerSettings? serializerSettings){
        try{
            return JsonConvert.DeserializeObject<T>(json, serializerSettings);
        } catch (JsonException ex){
            Console.WriteLine($"Error deserializing JSON: {ex.Message}");
            throw;
        }
    }

    public static Locale ConvertStringToLocale(string? value){
        foreach (Locale locale in Enum.GetValues(typeof(Locale))){
            var type = typeof(Locale);
            var memInfo = type.GetMember(locale.ToString());
            var attributes = memInfo[0].GetCustomAttributes(typeof(EnumMemberAttribute), false);
            var description = ((EnumMemberAttribute)attributes[0]).Value;

            if (description == value){
                return locale;
            }
        }

        return Locale.DefaulT; // Return default if not found
    }

    public static string GenerateSessionId(){
        // Get UTC milliseconds
        var utcNow = DateTime.UtcNow;
        var milliseconds = utcNow.Millisecond.ToString().PadLeft(3, '0');

        // Get a high-resolution timestamp
        long timestamp = Stopwatch.GetTimestamp();
        double timestampToMilliseconds = (double)timestamp / Stopwatch.Frequency * 1000;
        string highResTimestamp = timestampToMilliseconds.ToString("F0").PadLeft(13, '0');

        return milliseconds + highResTimestamp;
    }

    public static async Task<(bool IsOk, int ErrorCode)> ExecuteCommandAsync(string type, string bin, string command){
        using (var process = new Process()){
            process.StartInfo.FileName = bin;
            process.StartInfo.Arguments = command;
            process.StartInfo.RedirectStandardOutput = true;
            process.StartInfo.RedirectStandardError = true;
            process.StartInfo.UseShellExecute = false;
            process.StartInfo.CreateNoWindow = true;

            process.Start();

            // To log the output or errors, you might use process.StandardOutput.ReadToEndAsync()
            // string output = await process.StandardOutput.ReadToEndAsync();
            string errors = await process.StandardError.ReadToEndAsync();

            await process.WaitForExitAsync();

            if (!string.IsNullOrEmpty(errors))
                Console.WriteLine($"Error: {errors}");

            // Define success condition more appropriately based on the application
            bool isSuccess = process.ExitCode == 0;

            return (IsOk: isSuccess, ErrorCode: process.ExitCode);
        }
    }

    public static double CalculateCosineSimilarity(string text1, string text2){
        var vector1 = ComputeWordFrequency(text1);
        var vector2 = ComputeWordFrequency(text2);

        return CosineSimilarity(vector1, vector2);
    }

    private static Dictionary<string, double> ComputeWordFrequency(string text){
        var wordFrequency = new Dictionary<string, double>();
        var words = text.Split(new[]{ ' ', ',', '.', ';', ':', '-', '_', '\'' }, StringSplitOptions.RemoveEmptyEntries);

        foreach (var word in words){
            var lowerWord = word.ToLower();
            if (!wordFrequency.ContainsKey(lowerWord)){
                wordFrequency[lowerWord] = 0;
            }

            wordFrequency[lowerWord]++;
        }

        return wordFrequency;
    }

    private static double CosineSimilarity(Dictionary<string, double> vector1, Dictionary<string, double> vector2){
        var intersection = vector1.Keys.Intersect(vector2.Keys);

        double dotProduct = intersection.Sum(term => vector1[term] * vector2[term]);
        double normA = Math.Sqrt(vector1.Values.Sum(val => val * val));
        double normB = Math.Sqrt(vector2.Values.Sum(val => val * val));

        if (normA == 0 || normB == 0){
            // If either vector has zero length, return 0 similarity.
            return 0;
        }

        return dotProduct / (normA * normB);
    }

    public static string? ExtractNumberAfterS(string input){
        // Define the regular expression pattern to match |S followed by a number and optionally C followed by another number
        string pattern = @"\|S(\d+)(?:C(\d+))?";
        Match match = Regex.Match(input, pattern);

        if (match.Success){
            string sNumber = match.Groups[1].Value;
            string cNumber = match.Groups[2].Value;

            if (!string.IsNullOrEmpty(cNumber)){
                return $"{sNumber}.{cNumber}";
            } else{
                return sNumber;
            }
        } else{
            return null;
        }
    }
}