mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-11-23 05:14:27 +01:00
re-implement the Damerau-Levenshtein used for the highlighting
This commit is contained in:
parent
9dbc8b2dd0
commit
56fceb1928
@ -33,18 +33,19 @@ impl MatchingWords {
|
||||
}
|
||||
|
||||
/// Returns the number of matching bytes if the word matches one of the query words.
|
||||
pub fn matching_bytes(&self, word: &str) -> Option<usize> {
|
||||
self.dfas.iter().find_map(|(dfa, query_word, typo, is_prefix)| match dfa.eval(word) {
|
||||
Distance::Exact(t) if t <= *typo => {
|
||||
if *is_prefix {
|
||||
let (_dist, len) =
|
||||
prefix_damerau_levenshtein(query_word.as_bytes(), word.as_bytes());
|
||||
Some(len)
|
||||
} else {
|
||||
Some(word.len())
|
||||
pub fn matching_bytes(&self, word_to_highlight: &str) -> Option<usize> {
|
||||
self.dfas.iter().find_map(|(dfa, query_word, typo, is_prefix)| {
|
||||
match dfa.eval(word_to_highlight) {
|
||||
Distance::Exact(t) if t <= *typo => {
|
||||
if *is_prefix {
|
||||
let len = bytes_to_highlight(word_to_highlight, query_word);
|
||||
Some(len)
|
||||
} else {
|
||||
Some(word_to_highlight.len())
|
||||
}
|
||||
}
|
||||
_otherwise => None,
|
||||
}
|
||||
_otherwise => None,
|
||||
})
|
||||
}
|
||||
}
|
||||
@ -101,20 +102,23 @@ impl<T> IndexMut<(usize, usize)> for N2Array<T> {
|
||||
}
|
||||
}
|
||||
|
||||
/// Returns the distance between the source word and the target word,
|
||||
/// and the number of byte matching in the target word.
|
||||
fn prefix_damerau_levenshtein(source: &[u8], target: &[u8]) -> (u32, usize) {
|
||||
let (n, m) = (source.len(), target.len());
|
||||
/// Returns the number of **bytes** we want to highlight in the `source` word.
|
||||
/// Basically we want to highlight as much characters as possible in the source until it has too much
|
||||
/// typos (= 2)
|
||||
/// The algorithm is a modified
|
||||
/// [Damerau-Levenshtein](https://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance)
|
||||
fn bytes_to_highlight(source: &str, target: &str) -> usize {
|
||||
let (n, m) = (source.chars().count(), target.chars().count());
|
||||
|
||||
if n == 0 {
|
||||
return (m as u32, 0);
|
||||
return 0;
|
||||
}
|
||||
if m == 0 {
|
||||
return (n as u32, 0);
|
||||
// since we allow two typos we can send two characters even if it's completely wrong
|
||||
if m < 3 {
|
||||
return source.chars().take(m).map(|c| c.len_utf8()).sum();
|
||||
}
|
||||
|
||||
if n == m && source == target {
|
||||
return (0, m);
|
||||
return source.len();
|
||||
}
|
||||
|
||||
let inf = n + m;
|
||||
@ -132,11 +136,11 @@ fn prefix_damerau_levenshtein(source: &[u8], target: &[u8]) -> (u32, usize) {
|
||||
|
||||
let mut last_row = BTreeMap::new();
|
||||
|
||||
for (row, char_s) in source.iter().enumerate() {
|
||||
for (row, char_s) in source.chars().enumerate() {
|
||||
let mut last_match_col = 0;
|
||||
let row = row + 1;
|
||||
|
||||
for (col, char_t) in target.iter().enumerate() {
|
||||
for (col, char_t) in target.chars().enumerate() {
|
||||
let col = col + 1;
|
||||
let last_match_row = *last_row.get(&char_t).unwrap_or(&0);
|
||||
let cost = if char_s == char_t { 0 } else { 1 };
|
||||
@ -148,9 +152,7 @@ fn prefix_damerau_levenshtein(source: &[u8], target: &[u8]) -> (u32, usize) {
|
||||
+ (row - last_match_row - 1)
|
||||
+ 1
|
||||
+ (col - last_match_col - 1);
|
||||
|
||||
let dist = min(min(dist_add, dist_del), min(dist_sub, dist_trans));
|
||||
|
||||
matrix[(row + 1, col + 1)] = dist;
|
||||
|
||||
if cost == 0 {
|
||||
@ -161,32 +163,77 @@ fn prefix_damerau_levenshtein(source: &[u8], target: &[u8]) -> (u32, usize) {
|
||||
last_row.insert(char_s, row);
|
||||
}
|
||||
|
||||
let mut minimum = (u32::max_value(), 0);
|
||||
|
||||
for x in 0..=m {
|
||||
let dist = matrix[(n + 1, x + 1)] as u32;
|
||||
if dist < minimum.0 {
|
||||
minimum = (dist, x)
|
||||
let mut minimum = 2;
|
||||
for x in 0..=n {
|
||||
// let dist = matrix[(x + 1, m + 1)];
|
||||
let min_dist = (0..=m).map(|y| matrix[(x + 1, y + 1)]).min().unwrap();
|
||||
if min_dist <= 2 {
|
||||
minimum = x;
|
||||
}
|
||||
}
|
||||
|
||||
minimum
|
||||
// everything was done characters wise and now we want to returns a number of bytes
|
||||
source.chars().take(minimum).map(|c| c.len_utf8()).sum()
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use std::str::from_utf8;
|
||||
|
||||
use super::*;
|
||||
use crate::search::query_tree::{Operation, Query, QueryKind};
|
||||
use crate::MatchingWords;
|
||||
|
||||
#[test]
|
||||
fn matched_length() {
|
||||
let query = "Levenste";
|
||||
let text = "Levenshtein";
|
||||
fn test_bytes_to_highlight() {
|
||||
struct TestBytesToHighlight {
|
||||
query: &'static str,
|
||||
text: &'static str,
|
||||
length: usize,
|
||||
}
|
||||
let tests = [
|
||||
TestBytesToHighlight { query: "bip", text: "bip", length: "bip".len() },
|
||||
TestBytesToHighlight { query: "bip", text: "boup", length: "bip".len() },
|
||||
TestBytesToHighlight {
|
||||
query: "Levenshtein",
|
||||
text: "Levenshtein",
|
||||
length: "Levenshtein".len(),
|
||||
},
|
||||
// we get to the end of our word with only one typo
|
||||
TestBytesToHighlight {
|
||||
query: "Levenste",
|
||||
text: "Levenshtein",
|
||||
length: "Levenste".len(),
|
||||
},
|
||||
// we get our third and last authorized typo right on the last character
|
||||
TestBytesToHighlight {
|
||||
query: "Levenstein",
|
||||
text: "Levenshte",
|
||||
length: "Levenstei".len(),
|
||||
},
|
||||
// we get to the end of our word with only two typos at the beginning
|
||||
TestBytesToHighlight {
|
||||
query: "Bavenshtein",
|
||||
text: "Levenshtein",
|
||||
length: "Bavenshtein".len(),
|
||||
},
|
||||
// Since we calculate a distance char by char we are supposed to have only two mistakes
|
||||
// here. That would've not be the case if we were computing the distance bytes per bytes
|
||||
TestBytesToHighlight { query: "Båve", text: "Chiøt", length: "Bå".len() },
|
||||
TestBytesToHighlight { query: "💪🙂🍤", text: "plouf", length: "💪🙂".len() },
|
||||
TestBytesToHighlight { query: "clôu¿i", text: "bloubi", length: "clôu".len() },
|
||||
];
|
||||
|
||||
let (dist, length) = prefix_damerau_levenshtein(query.as_bytes(), text.as_bytes());
|
||||
assert_eq!(dist, 1);
|
||||
assert_eq!(&text[..length], "Levenshte");
|
||||
for test in &tests {
|
||||
let length = bytes_to_highlight(test.query, test.text);
|
||||
assert_eq!(length, test.length, r#"lenght between: "{}" "{}""#, test.query, test.text);
|
||||
assert!(
|
||||
from_utf8(&test.query.as_bytes()[..length]).is_ok(),
|
||||
r#"converting {}[..{}] to an utf8 str failed"#,
|
||||
test.query,
|
||||
length
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
@ -214,9 +261,9 @@ mod tests {
|
||||
assert_eq!(matching_words.matching_bytes("word"), Some(4));
|
||||
assert_eq!(matching_words.matching_bytes("nyc"), None);
|
||||
assert_eq!(matching_words.matching_bytes("world"), Some(5));
|
||||
assert_eq!(matching_words.matching_bytes("splitted"), Some(5));
|
||||
assert_eq!(matching_words.matching_bytes("splitted"), Some(7));
|
||||
assert_eq!(matching_words.matching_bytes("thisnew"), None);
|
||||
assert_eq!(matching_words.matching_bytes("borld"), Some(5));
|
||||
assert_eq!(matching_words.matching_bytes("wordsplit"), Some(4));
|
||||
assert_eq!(matching_words.matching_bytes("wordsplit"), Some(5));
|
||||
}
|
||||
}
|
||||
|
Loading…
Reference in New Issue
Block a user