blob: efb3c2396c32d54b5deead0a04bc0a3b851c7edb [file] [log] [blame]
use std::cmp;
use crate::symbol::Symbol;
#[cfg(test)]
mod tests;
/// Finds the Levenshtein distance between two strings
pub fn lev_distance(a: &str, b: &str) -> usize {
// cases which don't require further computation
if a.is_empty() {
return b.chars().count();
} else if b.is_empty() {
return a.chars().count();
}
let mut dcol: Vec<_> = (0..=b.len()).collect();
let mut t_last = 0;
for (i, sc) in a.chars().enumerate() {
let mut current = i;
dcol[0] = current + 1;
for (j, tc) in b.chars().enumerate() {
let next = dcol[j + 1];
if sc == tc {
dcol[j + 1] = current;
} else {
dcol[j + 1] = cmp::min(current, next);
dcol[j + 1] = cmp::min(dcol[j + 1], dcol[j]) + 1;
}
current = next;
t_last = j;
}
}
dcol[t_last + 1]
}
/// Finds the best match for a given word in the given iterator
///
/// As a loose rule to avoid the obviously incorrect suggestions, it takes
/// an optional limit for the maximum allowable edit distance, which defaults
/// to one-third of the given word.
///
/// Besides Levenshtein, we use case insensitive comparison to improve accuracy on an edge case with
/// a lower(upper)case letters mismatch.
pub fn find_best_match_for_name<'a, T>(iter_names: T,
lookup: &str,
dist: Option<usize>) -> Option<Symbol>
where T: Iterator<Item = &'a Symbol> {
let max_dist = dist.map_or_else(|| cmp::max(lookup.len(), 3) / 3, |d| d);
let (case_insensitive_match, levenstein_match) = iter_names
.filter_map(|&name| {
let dist = lev_distance(lookup, &name.as_str());
if dist <= max_dist {
Some((name, dist))
} else {
None
}
})
// Here we are collecting the next structure:
// (case_insensitive_match, (levenstein_match, levenstein_distance))
.fold((None, None), |result, (candidate, dist)| {
(
if candidate.as_str().to_uppercase() == lookup.to_uppercase() {
Some(candidate)
} else {
result.0
},
match result.1 {
None => Some((candidate, dist)),
Some((c, d)) => Some(if dist < d { (candidate, dist) } else { (c, d) })
}
)
});
if let Some(candidate) = case_insensitive_match {
Some(candidate) // exact case insensitive match has a higher priority
} else {
levenstein_match.map(|(candidate, _)| candidate)
}
}