// 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
{
///
/// Class housing fuzzy matching methods
///
internal static class FuzzyMatching
{
///
/// 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
///
/// The text to search inside of
/// the text to search for
/// returns the index location of each of the letters of the matches
internal static List FindBestFuzzyMatch(string text, string searchText)
{
ArgumentNullException.ThrowIfNull(searchText);
ArgumentNullException.ThrowIfNull(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
// e.g.
// 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> allMatches = GetAllMatchIndexes(matches);
// return the score that is the max
int maxScore = allMatches.Count > 0 ? CalculateScoreForMatches(allMatches[0]) : 0;
List bestMatch = allMatches.Count > 0 ? allMatches[0] : new List();
foreach (var match in allMatches)
{
int score = CalculateScoreForMatches(match);
if (score > maxScore)
{
bestMatch = match;
maxScore = score;
}
}
return bestMatch;
}
///
/// Gets all the possible matches to the search string with in the text
///
/// 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
/// a list of the possible combinations that match the search text
internal static List> GetAllMatchIndexes(bool[,] matches)
{
ArgumentNullException.ThrowIfNull(matches);
List> results = new List>();
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 { 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();
}
///
/// Calculates the score for a string
///
/// the index of the matches
/// an integer representing the score
internal static int CalculateScoreForMatches(List matches)
{
ArgumentNullException.ThrowIfNull(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;
}
}
}