mirror of
https://github.com/RGBCube/serenity
synced 2025-05-18 14:05:06 +00:00

'Assistant' is similar to macOS spotlight where you can quickly open a text input, start typing, and hit 'enter' to launch apps or open directories.
29 lines
1 KiB
C++
29 lines
1 KiB
C++
/*
|
|
* Copyright (c) 2021, Spencer Dixon <spencercdixon@gmail.com>
|
|
*
|
|
* SPDX-License-Identifier: BSD-2-Clause
|
|
*/
|
|
|
|
#pragma once
|
|
|
|
#include <AK/String.h>
|
|
#include <AK/Tuple.h>
|
|
|
|
namespace Assistant {
|
|
|
|
struct FuzzyMatchResult {
|
|
bool matched { false };
|
|
int score { 0 };
|
|
};
|
|
|
|
// This fuzzy_match algorithm is based off a similar algorithm used by Sublime Text. The key insight is that instead
|
|
// of doing a total in the distance between characters (I.E. Levenshtein Distance), we apply some meaningful heuristics
|
|
// related to our dataset that we're trying to match to build up a score. Scores can then be sorted and displayed
|
|
// with the highest at the top.
|
|
//
|
|
// Scores are not normalized between any values and have no particular meaning. The starting value is 100 and when we
|
|
// detect good indicators of a match we add to the score. When we detect bad indicators, we penalize the match and subtract
|
|
// from its score. Therefore, the longer the needle/haystack the greater the range of scores could be.
|
|
FuzzyMatchResult fuzzy_match(String needle, String haystack);
|
|
|
|
}
|