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https://github.com/meilisearch/meilisearch.git
synced 2024-11-23 02:27:40 +08:00
integration with new tokenizer wip
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parent
8a4d05b7bb
commit
5e00842087
@ -2,13 +2,3 @@ mod dfa;
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pub use self::dfa::{build_dfa, build_prefix_dfa, build_exact_dfa};
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pub fn normalize_str(string: &str) -> String {
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let mut string = string.to_lowercase();
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if !string.contains(is_cjk) {
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string = deunicode::deunicode_with_tofu(&string, "");
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}
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string
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}
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@ -7,13 +7,14 @@ use std::{cmp, fmt, iter::once};
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use fst::{IntoStreamer, Streamer};
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use itertools::{EitherOrBoth, merge_join_by};
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use meilisearch_tokenizer::split_query_string;
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use sdset::{Set, SetBuf, SetOperation};
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use log::debug;
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use meilisearch_tokenizer::Token;
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use meilisearch_tokenizer::tokenizer::{Analyzer, AnalyzerConfig};
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use sdset::{Set, SetBuf, SetOperation};
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use crate::database::MainT;
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use crate::{store, DocumentId, DocIndex, MResult, FstSetCow};
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use crate::automaton::{normalize_str, build_dfa, build_prefix_dfa, build_exact_dfa};
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use crate::automaton::{build_dfa, build_prefix_dfa, build_exact_dfa};
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use crate::QueryWordsMapper;
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#[derive(Clone, PartialEq, Eq, Hash)]
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@ -146,7 +147,7 @@ fn split_best_frequency<'a>(reader: &heed::RoTxn<MainT>, ctx: &Context, word: &'
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}
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fn fetch_synonyms(reader: &heed::RoTxn<MainT>, ctx: &Context, words: &[&str]) -> MResult<Vec<Vec<String>>> {
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let words = normalize_str(&words.join(" "));
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let words = &words.join(" ");
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let set = ctx.synonyms.synonyms_fst(reader, words.as_bytes())?;
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let mut strings = Vec::new();
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@ -174,15 +175,25 @@ where I: IntoIterator<Item=Operation>,
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const MAX_NGRAM: usize = 3;
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fn split_query_string(s: &str) -> Vec<(usize, String)> {
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// TODO: Use global instance instead
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let analyzer = Analyzer::new(AnalyzerConfig::default());
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analyzer
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.analyze(s)
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.tokens()
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.filter(|t| !t.is_stopword())
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.enumerate()
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.map(|(i, Token { word, .. })| (i, word.to_string()))
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.collect()
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}
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pub fn create_query_tree(
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reader: &heed::RoTxn<MainT>,
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ctx: &Context,
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query: &str,
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) -> MResult<(Operation, HashMap<QueryId, Range<usize>>)>
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{
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let words = split_query_string(query).map(str::to_lowercase);
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let words = words.filter(|w| !ctx.stop_words.contains(w));
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let words: Vec<_> = words.enumerate().collect();
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let words = split_query_string(query);
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let mut mapper = QueryWordsMapper::new(words.iter().map(|(_, w)| w));
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@ -2,8 +2,9 @@ use std::borrow::Cow;
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use std::collections::{BTreeMap, HashMap};
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use std::convert::TryFrom;
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use deunicode::deunicode_with_tofu;
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use meilisearch_schema::IndexedPos;
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use meilisearch_tokenizer::tokenizer::{Analyzer, AnalyzerConfig};
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use meilisearch_tokenizer::Token;
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use sdset::SetBuf;
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use crate::{DocIndex, DocumentId};
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@ -18,6 +19,7 @@ pub struct RawIndexer<A> {
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stop_words: fst::Set<A>,
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words_doc_indexes: BTreeMap<Word, Vec<DocIndex>>,
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docs_words: HashMap<DocumentId, Vec<Word>>,
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analyzer: Analyzer,
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}
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pub struct Indexed<'a> {
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@ -36,6 +38,7 @@ impl<A> RawIndexer<A> {
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stop_words,
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words_doc_indexes: BTreeMap::new(),
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docs_words: HashMap::new(),
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analyzer: Analyzer::new(AnalyzerConfig::default()),
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}
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}
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}
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@ -44,9 +47,12 @@ impl<A: AsRef<[u8]>> RawIndexer<A> {
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pub fn index_text(&mut self, id: DocumentId, indexed_pos: IndexedPos, text: &str) -> usize {
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let mut number_of_words = 0;
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for token in Tokenizer::new(text) {
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let analyzed_text = self.analyzer.analyze(text);
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for (word_pos, (token_index, token)) in analyzed_text.tokens().enumerate().filter(|(_, t)| !t.is_separator()).enumerate() {
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let must_continue = index_token(
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token,
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token_index,
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word_pos,
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id,
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indexed_pos,
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self.word_limit,
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@ -69,20 +75,47 @@ impl<A: AsRef<[u8]>> RawIndexer<A> {
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where
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I: IntoIterator<Item = &'s str>,
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{
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let iter = iter.into_iter();
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for token in SeqTokenizer::new(iter) {
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let must_continue = index_token(
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token,
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id,
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indexed_pos,
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self.word_limit,
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&self.stop_words,
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&mut self.words_doc_indexes,
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&mut self.docs_words,
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);
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let mut token_index_offset = 0;
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let mut byte_offset = 0;
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let mut word_offset = 0;
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if !must_continue {
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break;
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for s in iter.into_iter() {
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let current_token_index_offset = token_index_offset;
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let current_byte_offset = byte_offset;
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let current_word_offset = word_offset;
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let analyzed_text = self.analyzer.analyze(s);
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let tokens = analyzed_text
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.tokens()
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.enumerate()
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.map(|(i, mut t)| {
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t.byte_start = t.byte_start + current_byte_offset;
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t.byte_end = t.byte_end + current_byte_offset;
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(i + current_token_index_offset, t)
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})
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.enumerate()
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.map(|(i, t)| (i + current_word_offset, t));
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for (word_pos, (token_index, token)) in tokens {
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token_index_offset = token_index + 1;
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word_offset = word_pos + 1;
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byte_offset = token.byte_end + 1;
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let must_continue = index_token(
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token,
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token_index,
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word_pos,
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id,
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indexed_pos,
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self.word_limit,
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&self.stop_words,
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&mut self.words_doc_indexes,
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&mut self.docs_words,
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);
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if !must_continue {
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break;
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}
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}
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}
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}
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@ -114,6 +147,8 @@ impl<A: AsRef<[u8]>> RawIndexer<A> {
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fn index_token<A>(
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token: Token,
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position: usize,
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word_pos: usize,
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id: DocumentId,
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indexed_pos: IndexedPos,
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word_limit: usize,
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@ -123,20 +158,14 @@ fn index_token<A>(
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) -> bool
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where A: AsRef<[u8]>,
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{
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if token.index >= word_limit {
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if position >= word_limit {
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return false;
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}
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let lower = token.word.to_lowercase();
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let token = Token {
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word: &lower,
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..token
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};
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if !stop_words.contains(&token.word) {
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match token_to_docindex(id, indexed_pos, token) {
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if !stop_words.contains(&token.word.as_ref()) {
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match token_to_docindex(id, indexed_pos, &token, word_pos) {
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Some(docindex) => {
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let word = Vec::from(token.word);
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let word = Vec::from(token.word.as_ref());
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if word.len() <= WORD_LENGTH_LIMIT {
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words_doc_indexes
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@ -144,20 +173,6 @@ where A: AsRef<[u8]>,
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.or_insert_with(Vec::new)
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.push(docindex);
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docs_words.entry(id).or_insert_with(Vec::new).push(word);
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if !lower.contains(is_cjk) {
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let unidecoded = deunicode_with_tofu(&lower, "");
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if unidecoded != lower && !unidecoded.is_empty() {
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let word = Vec::from(unidecoded);
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if word.len() <= WORD_LENGTH_LIMIT {
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words_doc_indexes
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.entry(word.clone())
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.or_insert_with(Vec::new)
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.push(docindex);
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docs_words.entry(id).or_insert_with(Vec::new).push(word);
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}
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}
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}
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}
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}
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None => return false,
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@ -167,8 +182,8 @@ where A: AsRef<[u8]>,
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true
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}
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fn token_to_docindex(id: DocumentId, indexed_pos: IndexedPos, token: Token) -> Option<DocIndex> {
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let word_index = u16::try_from(token.word_index).ok()?;
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fn token_to_docindex(id: DocumentId, indexed_pos: IndexedPos, token: &Token, word_index: usize) -> Option<DocIndex> {
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let word_index = u16::try_from(word_index).ok()?;
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let char_index = u16::try_from(token.char_index).ok()?;
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let char_length = u16::try_from(token.word.chars().count()).ok()?;
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@ -11,7 +11,6 @@ use meilisearch_core::criterion::*;
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use meilisearch_core::settings::RankingRule;
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use meilisearch_core::{Highlight, Index, RankedMap};
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use meilisearch_schema::{FieldId, Schema};
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use meilisearch_tokenizer::is_cjk;
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use serde::{Deserialize, Serialize};
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use serde_json::Value;
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use siphasher::sip::SipHasher;
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@ -344,7 +343,7 @@ pub struct SearchResult {
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/// returns the start index and the length on the crop.
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fn aligned_crop(text: &str, match_index: usize, context: usize) -> (usize, usize) {
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let is_word_component = |c: &char| c.is_alphanumeric() && !is_cjk(*c);
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let is_word_component = |c: &char| c.is_alphanumeric() && !super::is_cjk(*c);
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let word_end_index = |mut index| {
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if text.chars().nth(index - 1).map_or(false, |c| is_word_component(&c)) {
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@ -5,3 +5,22 @@ pub mod compression;
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pub use authentication::Authentication;
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pub use normalize_path::NormalizePath;
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pub fn is_cjk(c: char) -> bool {
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(c >= '\u{1100}' && c <= '\u{11ff}') // Hangul Jamo
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|| (c >= '\u{2e80}' && c <= '\u{2eff}') // CJK Radicals Supplement
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|| (c >= '\u{2f00}' && c <= '\u{2fdf}') // Kangxi radical
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|| (c >= '\u{3000}' && c <= '\u{303f}') // Japanese-style punctuation
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|| (c >= '\u{3040}' && c <= '\u{309f}') // Japanese Hiragana
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|| (c >= '\u{30a0}' && c <= '\u{30ff}') // Japanese Katakana
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|| (c >= '\u{3100}' && c <= '\u{312f}')
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|| (c >= '\u{3130}' && c <= '\u{318F}') // Hangul Compatibility Jamo
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|| (c >= '\u{3200}' && c <= '\u{32ff}') // Enclosed CJK Letters and Months
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|| (c >= '\u{3400}' && c <= '\u{4dbf}') // CJK Unified Ideographs Extension A
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|| (c >= '\u{4e00}' && c <= '\u{9fff}') // CJK Unified Ideographs
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|| (c >= '\u{a960}' && c <= '\u{a97f}') // Hangul Jamo Extended-A
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|| (c >= '\u{ac00}' && c <= '\u{d7a3}') // Hangul Syllables
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|| (c >= '\u{d7b0}' && c <= '\u{d7ff}') // Hangul Jamo Extended-B
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|| (c >= '\u{f900}' && c <= '\u{faff}') // CJK Compatibility Ideographs
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|| (c >= '\u{ff00}' && c <= '\u{ffef}') // Full-width roman characters and half-width katakana
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}
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