mirror of
https://github.com/meilisearch/meilisearch.git
synced 2024-11-27 04:25:06 +08:00
feat: Rewrite Automaton generation related code
This commit is contained in:
parent
1cb42cbb30
commit
5aa49d232c
@ -1,8 +1,7 @@
|
||||
use fst::Automaton;
|
||||
use lazy_static::lazy_static;
|
||||
use levenshtein_automata::{
|
||||
LevenshteinAutomatonBuilder as LevBuilder,
|
||||
DFA, Distance,
|
||||
DFA,
|
||||
};
|
||||
|
||||
lazy_static! {
|
||||
@ -11,55 +10,16 @@ lazy_static! {
|
||||
static ref LEVDIST2: LevBuilder = LevBuilder::new(2, false);
|
||||
}
|
||||
|
||||
pub struct DfaExt {
|
||||
query_len: usize,
|
||||
automaton: DFA,
|
||||
}
|
||||
|
||||
impl Automaton for DfaExt {
|
||||
type State = <DFA as Automaton>::State;
|
||||
|
||||
fn start(&self) -> Self::State {
|
||||
self.automaton.start()
|
||||
}
|
||||
|
||||
fn is_match(&self, state: &Self::State) -> bool {
|
||||
self.automaton.is_match(state)
|
||||
}
|
||||
|
||||
fn can_match(&self, state: &Self::State) -> bool {
|
||||
self.automaton.can_match(state)
|
||||
}
|
||||
|
||||
fn will_always_match(&self, state: &Self::State) -> bool {
|
||||
self.automaton.will_always_match(state)
|
||||
}
|
||||
|
||||
fn accept(&self, state: &Self::State, byte: u8) -> Self::State {
|
||||
self.automaton.accept(state, byte)
|
||||
}
|
||||
}
|
||||
|
||||
impl AutomatonExt for DfaExt {
|
||||
fn eval<B: AsRef<[u8]>>(&self, s: B) -> Distance {
|
||||
self.automaton.eval(s)
|
||||
}
|
||||
|
||||
fn query_len(&self) -> usize {
|
||||
self.query_len
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Copy, Clone)]
|
||||
enum PrefixSetting {
|
||||
Prefix,
|
||||
NoPrefix,
|
||||
}
|
||||
|
||||
fn build_dfa_with_setting(query: &str, setting: PrefixSetting) -> DfaExt {
|
||||
fn build_dfa_with_setting(query: &str, setting: PrefixSetting) -> DFA {
|
||||
use self::PrefixSetting::{Prefix, NoPrefix};
|
||||
|
||||
let dfa = match query.len() {
|
||||
match query.len() {
|
||||
0 ..= 4 => match setting {
|
||||
Prefix => LEVDIST0.build_prefix_dfa(query),
|
||||
NoPrefix => LEVDIST0.build_dfa(query),
|
||||
@ -72,20 +32,13 @@ fn build_dfa_with_setting(query: &str, setting: PrefixSetting) -> DfaExt {
|
||||
Prefix => LEVDIST2.build_prefix_dfa(query),
|
||||
NoPrefix => LEVDIST2.build_dfa(query),
|
||||
},
|
||||
};
|
||||
|
||||
DfaExt { query_len: query.len(), automaton: dfa }
|
||||
}
|
||||
}
|
||||
|
||||
pub fn build_prefix_dfa(query: &str) -> DfaExt {
|
||||
pub fn build_prefix_dfa(query: &str) -> DFA {
|
||||
build_dfa_with_setting(query, PrefixSetting::Prefix)
|
||||
}
|
||||
|
||||
pub fn build_dfa(query: &str) -> DfaExt {
|
||||
pub fn build_dfa(query: &str) -> DFA {
|
||||
build_dfa_with_setting(query, PrefixSetting::NoPrefix)
|
||||
}
|
||||
|
||||
pub trait AutomatonExt: Automaton {
|
||||
fn eval<B: AsRef<[u8]>>(&self, s: B) -> Distance;
|
||||
fn query_len(&self) -> usize;
|
||||
}
|
||||
|
@ -11,8 +11,9 @@ use meilidb_tokenizer::{is_cjk, split_query_string};
|
||||
use rayon::slice::ParallelSliceMut;
|
||||
use sdset::SetBuf;
|
||||
use slice_group_by::GroupByMut;
|
||||
use levenshtein_automata::DFA;
|
||||
|
||||
use crate::automaton::{DfaExt, AutomatonExt, build_dfa, build_prefix_dfa};
|
||||
use crate::automaton::{build_dfa, build_prefix_dfa};
|
||||
use crate::distinct_map::{DistinctMap, BufferedDistinctMap};
|
||||
use crate::criterion::Criteria;
|
||||
use crate::raw_documents_from_matches;
|
||||
@ -21,18 +22,38 @@ use crate::{Match, DocumentId, Store, RawDocument, Document};
|
||||
const NGRAMS: usize = 3;
|
||||
|
||||
struct Automaton {
|
||||
index: usize,
|
||||
query_index: usize,
|
||||
query_len: usize,
|
||||
is_exact: bool,
|
||||
dfa: DfaExt,
|
||||
dfa: DFA,
|
||||
}
|
||||
|
||||
impl Automaton {
|
||||
fn exact(index: usize, dfa: DfaExt) -> Automaton {
|
||||
Automaton { index, is_exact: true, dfa }
|
||||
fn exact(query_index: usize, query: &str) -> Automaton {
|
||||
Automaton {
|
||||
query_index,
|
||||
query_len: query.len(),
|
||||
is_exact: true,
|
||||
dfa: build_dfa(query),
|
||||
}
|
||||
}
|
||||
|
||||
fn non_exact(index: usize, dfa: DfaExt) -> Automaton {
|
||||
Automaton { index, is_exact: false, dfa }
|
||||
fn prefix_exact(query_index: usize, query: &str) -> Automaton {
|
||||
Automaton {
|
||||
query_index,
|
||||
query_len: query.len(),
|
||||
is_exact: true,
|
||||
dfa: build_prefix_dfa(query),
|
||||
}
|
||||
}
|
||||
|
||||
fn non_exact(query_index: usize, query: &str) -> Automaton {
|
||||
Automaton {
|
||||
query_index,
|
||||
query_len: query.len(),
|
||||
is_exact: false,
|
||||
dfa: build_dfa(query),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@ -54,7 +75,7 @@ fn generate_automatons<S: Store>(query: &str, store: &S) -> Result<Vec<Automaton
|
||||
let synonyms = store.synonyms()?;
|
||||
|
||||
for n in 1..=NGRAMS {
|
||||
let mut index = 0;
|
||||
let mut query_index = 0;
|
||||
let mut ngrams = query_words.windows(n).peekable();
|
||||
|
||||
while let Some(ngram_slice) = ngrams.next() {
|
||||
@ -65,7 +86,7 @@ fn generate_automatons<S: Store>(query: &str, store: &S) -> Result<Vec<Automaton
|
||||
// automaton of concatenation of query words
|
||||
let normalized = normalize_str(&concat);
|
||||
let lev = build_dfa(&normalized);
|
||||
let automaton = Automaton::exact(index, lev);
|
||||
let automaton = Automaton::exact(query_index, lev);
|
||||
automatons.push((automaton, normalized));
|
||||
|
||||
let has_following_word = ngrams.peek().is_some();
|
||||
@ -92,11 +113,10 @@ fn generate_automatons<S: Store>(query: &str, store: &S) -> Result<Vec<Automaton
|
||||
let nb_synonym_words = split_query_string(synonyms).count();
|
||||
|
||||
for synonym in split_query_string(synonyms) {
|
||||
let lev = build_dfa(synonym);
|
||||
let automaton = if nb_synonym_words == 1 {
|
||||
Automaton::exact(index, lev)
|
||||
Automaton::exact(query_index, synonym)
|
||||
} else {
|
||||
Automaton::non_exact(index, lev)
|
||||
Automaton::non_exact(query_index, synonym)
|
||||
};
|
||||
automatons.push((automaton, synonym.to_owned()));
|
||||
}
|
||||
@ -106,21 +126,34 @@ fn generate_automatons<S: Store>(query: &str, store: &S) -> Result<Vec<Automaton
|
||||
|
||||
if n == 1 {
|
||||
let lev = if not_prefix_dfa { build_dfa(&ngram) } else { build_prefix_dfa(&ngram) };
|
||||
let automaton = Automaton::exact(index, lev);
|
||||
let automaton = Automaton::exact(query_index, lev);
|
||||
automatons.push((automaton, ngram));
|
||||
}
|
||||
|
||||
index += 1;
|
||||
query_index += 1;
|
||||
}
|
||||
}
|
||||
|
||||
automatons.sort_unstable_by(|a, b| (a.0.index, &a.1).cmp(&(b.0.index, &b.1)));
|
||||
automatons.dedup_by(|a, b| (a.0.index, &a.1) == (b.0.index, &b.1));
|
||||
automatons.sort_unstable_by(|a, b| (a.0.query_index, &a.1).cmp(&(b.0.query_index, &b.1)));
|
||||
automatons.dedup_by(|a, b| (a.0.query_index, &a.1) == (b.0.query_index, &b.1));
|
||||
let automatons = automatons.into_iter().map(|(a, _)| a).collect();
|
||||
|
||||
Ok(automatons)
|
||||
}
|
||||
|
||||
fn rewrite_matched_positions(matches: &mut [(DocumentId, Match)]) {
|
||||
for document_matches in matches.linear_group_by_mut(|(a, _), (b, _)| a == b) {
|
||||
let mut offset = 0;
|
||||
for query_indexes in document_matches.linear_group_by_mut(|(_, a), (_, b)| a.query_index == b.query_index) {
|
||||
let word_index = query_indexes[0].1.word_index - offset as u16;
|
||||
for (_, match_) in query_indexes.iter_mut() {
|
||||
match_.word_index = word_index;
|
||||
}
|
||||
offset += query_indexes.len() - 1;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
pub struct QueryBuilder<'c, S, FI = fn(DocumentId) -> bool> {
|
||||
store: S,
|
||||
criteria: Criteria<'c>,
|
||||
@ -184,9 +217,9 @@ where S: Store,
|
||||
|
||||
while let Some((input, indexed_values)) = stream.next() {
|
||||
for iv in indexed_values {
|
||||
let Automaton { index, is_exact, ref dfa } = automatons[iv.index];
|
||||
let Automaton { query_index, is_exact, query_len, ref dfa } = automatons[iv.index];
|
||||
let distance = dfa.eval(input).to_u8();
|
||||
let is_exact = is_exact && distance == 0 && input.len() == dfa.query_len();
|
||||
let is_exact = is_exact && distance == 0 && input.len() == query_len;
|
||||
|
||||
let doc_indexes = self.store.word_indexes(input)?;
|
||||
let doc_indexes = match doc_indexes {
|
||||
@ -197,8 +230,8 @@ where S: Store,
|
||||
for di in doc_indexes.as_slice() {
|
||||
if self.searchable_attrs.as_ref().map_or(true, |r| r.contains(&di.attribute)) {
|
||||
let match_ = Match {
|
||||
query_index: index as u32,
|
||||
distance: distance,
|
||||
query_index: query_index as u32,
|
||||
distance,
|
||||
attribute: di.attribute,
|
||||
word_index: di.word_index,
|
||||
is_exact,
|
||||
@ -206,23 +239,15 @@ where S: Store,
|
||||
char_length: di.char_length,
|
||||
};
|
||||
matches.push((di.document_id, match_));
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// rewrite the matched positions for next criteria evaluations
|
||||
matches.par_sort_unstable();
|
||||
|
||||
for document_matches in matches.linear_group_by_mut(|(a, _), (b, _)| a == b) {
|
||||
let mut offset = 0;
|
||||
for query_indexes in document_matches.linear_group_by_mut(|(_, a), (_, b)| a.query_index == b.query_index) {
|
||||
let word_index = query_indexes[0].1.word_index - offset as u16;
|
||||
for (_, match_) in query_indexes.iter_mut() {
|
||||
match_.word_index = word_index;
|
||||
}
|
||||
offset += query_indexes.len() - 1;
|
||||
}
|
||||
}
|
||||
rewrite_matched_positions(&mut matches);
|
||||
|
||||
let total_matches = matches.len();
|
||||
let padded_matches = SetBuf::from_dirty(matches);
|
||||
|
Loading…
Reference in New Issue
Block a user