// Copyright (c) Microsoft Corporation
// The Microsoft Corporation licenses this file to you under the MIT license.
// See the LICENSE file in the project root for more information.

// Code forked from Betsegaw Tadele's https://github.com/betsegaw/windowwalker/
using System;
using System.Collections.Generic;
using System.Globalization;
using System.Linq;

namespace Microsoft.Plugin.WindowWalker.Components
{
    /// <summary>
    /// Class housing fuzzy matching methods
    /// </summary>
    internal static class FuzzyMatching
    {
        /// <summary>
        /// Finds the best match (the one with the most
        /// number of letters adjacent to each other) and
        /// returns the index location of each of the letters
        /// of the matches
        /// </summary>
        /// <param name="text">The text to search inside of</param>
        /// <param name="searchText">the text to search for</param>
        /// <returns>returns the index location of each of the letters of the matches</returns>
        [System.Diagnostics.CodeAnalysis.SuppressMessage("Performance", "CA1814:Prefer jagged arrays over multidimensional", Justification = "matches does not waste space with the current implementation, however this could probably be optimized to store the indices of matches instead of boolean values.  Currently there are no unit tests for this, but we could refactor if memory/perf becomes an issue. ")]
        internal static List<int> FindBestFuzzyMatch(string text, string searchText)
        {
            if (searchText == null)
            {
                throw new ArgumentNullException(nameof(searchText));
            }

            if (text == null)
            {
                throw new ArgumentNullException(nameof(text));
            }

            // Using CurrentCulture since this is user facing
            searchText = searchText.ToLower(CultureInfo.CurrentCulture);
            text = text.ToLower(CultureInfo.CurrentCulture);

            // Create a grid to march matches like
            // eg.
            //   a b c a d e c f g
            // a x     x
            // c     x       x
            bool[,] matches = new bool[text.Length, searchText.Length];
            for (int firstIndex = 0; firstIndex < text.Length; firstIndex++)
            {
                for (int secondIndex = 0; secondIndex < searchText.Length; secondIndex++)
                {
                    matches[firstIndex, secondIndex] =
                        searchText[secondIndex] == text[firstIndex] ?
                        true :
                        false;
                }
            }

            // use this table to get all the possible matches
            List<List<int>> allMatches = GetAllMatchIndexes(matches);

            // return the score that is the max
            int maxScore = allMatches.Count > 0 ? CalculateScoreForMatches(allMatches[0]) : 0;
            List<int> bestMatch = allMatches.Count > 0 ? allMatches[0] : new List<int>();

            foreach (var match in allMatches)
            {
                int score = CalculateScoreForMatches(match);
                if (score > maxScore)
                {
                    bestMatch = match;
                    maxScore = score;
                }
            }

            return bestMatch;
        }

        /// <summary>
        /// Gets all the possible matches to the search string with in the text
        /// </summary>
        /// <param name="matches"> a table showing the matches as generated by
        /// a two dimensional array with the first dimension the text and the second
        /// one the search string and each cell marked as an intersection between the two</param>
        /// <returns>a list of the possible combinations that match the search text</returns>
        [System.Diagnostics.CodeAnalysis.SuppressMessage("Performance", "CA1814:Prefer jagged arrays over multidimensional", Justification = "matches does not waste space with the current implementation, however this could probably be optimized to store the indices of matches instead of boolean values.  Currently there are no unit tests for this, but we could refactor if memory/perf becomes an issue. ")]
        internal static List<List<int>> GetAllMatchIndexes(bool[,] matches)
        {
            if (matches == null)
            {
                throw new ArgumentNullException(nameof(matches));
            }

            List<List<int>> results = new List<List<int>>();

            for (int secondIndex = 0; secondIndex < matches.GetLength(1); secondIndex++)
            {
                for (int firstIndex = 0; firstIndex < matches.GetLength(0); firstIndex++)
                {
                    if (secondIndex == 0 && matches[firstIndex, secondIndex])
                    {
                        results.Add(new List<int> { firstIndex });
                    }
                    else if (matches[firstIndex, secondIndex])
                    {
                        var tempList = results.Where(x => x.Count == secondIndex && x[x.Count - 1] < firstIndex).Select(x => x.ToList()).ToList();

                        foreach (var pathSofar in tempList)
                        {
                            pathSofar.Add(firstIndex);
                        }

                        results.AddRange(tempList);
                    }
                }

                results = results.Where(x => x.Count == secondIndex + 1).ToList();
            }

            return results.Where(x => x.Count == matches.GetLength(1)).ToList();
        }

        /// <summary>
        /// Calculates the score for a string
        /// </summary>
        /// <param name="matches">the index of the matches</param>
        /// <returns>an integer representing the score</returns>
        internal static int CalculateScoreForMatches(List<int> matches)
        {
            if (matches == null)
            {
                throw new ArgumentNullException(nameof(matches));
            }

            var score = 0;

            for (int currentIndex = 1; currentIndex < matches.Count; currentIndex++)
            {
                var previousIndex = currentIndex - 1;

                score -= matches[currentIndex] - matches[previousIndex];
            }

            return score == 0 ? -10000 : score;
        }
    }
}