get it working better

This commit is contained in:
Book-reader 2025-05-09 23:21:14 +12:00
parent b4112c311c
commit 7e7079dd42
2 changed files with 89 additions and 23 deletions

View file

@ -19,6 +19,7 @@ use crate::unit_converter::UnitConversion;
use crate::wikipedia::WikipediaSummary;
use crate::{wikipedia, Opts, ALPHA, BUILT_ON, GIT_COMMIT, VERSION, YEAR};
use crate::spellcheck;
use crate::spellcheck::SpellCheckResults;
use askama::Template;
use asklyphe_common::nats;
use asklyphe_common::nats::bingservice::{
@ -69,6 +70,7 @@ pub struct Complications {
disabled: bool,
wikipedia: Option<WikipediaSummary>,
unit_converter: Option<UnitConversion>,
spellcheck: Option<SpellCheckResults>,
}
pub async fn search(
@ -173,6 +175,7 @@ pub async fn search_js(
complications.unit_converter = unit_comp;
let corrections = spellcheck::check(&query);
complications.spellcheck = corrections;
} else {
complications.disabled = true;
query = query.replace("-complications", "");

View file

@ -1,36 +1,104 @@
use tracing::{debug, error};
use std::{cmp, mem};
// use tokio::sync::{Mutex, RwLock};
// TODO: cache distances of strings/substrings
// TODO: use binary search to find direct matches, and if that fails, calculate and cache the result in BTreeMap<word: String, closest_match: String>
// TODO: limit by number of words and word length, not max chars, and use code more like this for better readability & async:
/*
let words = prepare(query).split_whitespace()
.filter(|qword| qword.len() > 0)
.map(|qword| qword.to_lowercase());
for word in words { // it might need to be while let Some(word) = words.next()
tokio::spawn(levenshtein_distance(...))
}
*/
include!("./google-10000-english-no-swears.txt");
include!("./words.txt");
// max distance before no alternatives are considered
const MAX_DISTANCE: usize = 6;
// max input text size before spellcheck is not run. on my laptop 13,000 chars of input takes around 4 seconds so this should be fine
// update: got a larger word database and it doesn't take 4 seconds anymore lmao
const MAX_QUERY_SIZE: usize = 1024;
pub fn check(query: &String) -> Vec<String> {
pub type SpellCheckResults = Vec<SpellCheckResult>;
#[derive(Debug)]
pub struct SpellCheckResult {
pub orig: String,
pub correction: String,
}
pub fn check(query: &String) -> Option<SpellCheckResults> {
error!("Query: {}", query);
let distances = query.split(" ")
let query: &str = {
if query.len() > MAX_QUERY_SIZE {
error!("Query is too large to be spell checked, only checking first {} chars", MAX_QUERY_SIZE);
query.get(0..MAX_QUERY_SIZE).unwrap()
// return None;
} else {
query
}
};
let distances = prepare(query).split_whitespace()
.filter(|qword| qword.len() > 0)
.map(|qword| qword.to_lowercase())
.map(
|qword|
KNOWN_WORDS.iter()
.map(
|kword|
(qword.clone(), kword, levenshtein_distance(&qword, kword)))
.map(|val| (val.0, val.1, val.2))
.min_by(|a, b| a.2.cmp(&b.2)).unwrap()
).filter(|(_, _, d)| *d > 0)
.for_each(|word| {
debug!("instead of '{}' did you mean '{}'? (distance of {})", word.0, word.1, word.2);
});
// .collect::<Vec<_>>();
|qword| {
let mut exact_match = false;
KNOWN_WORDS.iter()
.map(|kword| kword.to_lowercase())
.map(
|kword|
(qword.clone(), kword.clone(), levenshtein_distance(&qword, &kword)))
// totally isn't jank at all and is the best solution totally
.take_while(|val| if exact_match {false} else if val.2 == 0 {exact_match = true; true} else {true})
// .map(|val| {error!("Val: {:?}", val); val})
.min_by(|a, b| a.2.cmp(&b.2)).unwrap()
})/*.filter_map(|word| word)*/.filter(|word| word.2 > 0 && word.2 <= MAX_DISTANCE)/*.filter(|(_, _, dist)| *dist > 0 && *dist <= MAX_DISTANCE)*/.map(|word| SpellCheckResult{orig: word.0, correction: word.1.to_owned().to_owned()})/*.filter(|(_, _, d)| *d > 0)*/
.map(|word| {
debug!("instead of '{}' did you mean '{}'?", word.orig, word.correction);
word
})
.collect::<Vec<_>>();
/*for word in &distances {
debug!("instead of '{}' did you mean '{}'? (distance of )", word.0, word.1/*, word.2*/);
}*/
// distances
vec![]
if distances.len() > 0 {
Some(distances)
} else {
None
}
// vec![]
}
// TODO: handle symbols better, probably with a regex
fn prepare(s: &str) -> String {
s.replace("\"", "")
.replace(",", " ")
.replace(":", " ")
.replace(".", " ")
.replace("/", " ")
.replace("&", " ")
.replace("!", " ")
.replace("?", " ")
/*.replace("'", "")*/
.replace("0", "")
.replace("1", "")
.replace("2", "")
.replace("3", "")
.replace("4", "")
.replace("5", "")
.replace("6", "")
.replace("7", "")
.replace("8", "")
.replace("9", "")
}
// cost of 2 for add/remove, cost of 1 for replace
fn levenshtein_distance(a: &str, other: &str) -> usize {
// debug!("Self: '{}', Other: '{}'", a, other);
let mut dist = vec![0usize; other.len() + 1];
let mut dist_prev = vec![0usize; other.len() + 1];
@ -50,11 +118,6 @@ fn levenshtein_distance(a: &str, other: &str) -> usize {
cmp::min(dist_prev.get(j).unwrap(), dist_prev.get(j - 1).unwrap()));
}
}
// let temp = dist_prev;
// dist_prev = dist.clone();
// dist = temp;
// dist_prev = dist;
// dist = vec![0usize; max_len];
mem::swap(&mut dist, &mut dist_prev);
}
dist_prev[other.len()]