Crate rust_fuzzy_search

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This crate implements Fuzzy Searching with trigrams

Fuzzy searching allows to compare strings by similarity rather than by equality:
Similar strings will get a high score (close to 1.0f32) while dissimilar strings will get a lower score (closer to 0.0f32).

Fuzzy searching tolerates changes in word order:
ex. "John Dep" and "Dep John" will get a high score.

The crate exposes 5 main functions:

The Algorithm used is taken from : https://dev.to/kaleman15/fuzzy-searching-with-postgresql-97o

Basic idea:

  1. From both strings extracts all groups of 3 adjacent letters.
    ("House" becomes [' H', ' Ho', 'Hou', 'ous', 'use', 'se ']).
    Note the 2 spaces added to the head of the string and the one on the tail, used to make the algorithm work on zero length words.

  2. Then counts the number of trigrams of the first words that are also present on the second word and divide by the number of trigrams of the first word.\

Example: Comparing 2 strings

fn test () {
   use rust_fuzzy_search::fuzzy_compare;
   let score : f32 = fuzzy_compare("kolbasobulko", "kolbasobulko");
   println!("score = {:?}", score);
}

Example: Comparing a string with a list of strings and retrieving only the best matches

fn test() {
    use rust_fuzzy_search::fuzzy_search_best_n;
    let s = "bulko";
    let list : Vec<&str> = vec![
        "kolbasobulko",
        "sandviĉo",
        "ŝatas",
        "domo",
        "emuo",
        "fabo",
        "fazano"
    ];
    let n : usize = 3;
    let res : Vec<(&str, f32)> = fuzzy_search_best_n(s,&list, n);
    for (_word, score) in res {
        println!("{:?}",score)
    }
}

Example: if you have a Vec of Strings you need to convert it to a list of &str

fn works_with_strings() {
    use rust_fuzzy_search::fuzzy_search;
    let s = String::from("varma");
    let list: Vec<String> = vec![String::from("varma vetero"), String::from("varma ĉokolado")];
    fuzzy_search(&s, &list.iter().map(String::as_ref).collect::<Vec<&str>>());
}

Functions§