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https://github.com/meilisearch/MeiliSearch
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Merge pull request #164 from meilisearch/concat-query-words
Support query words concatenation
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commit
1cb42cbb30
@ -22,18 +22,17 @@ const NGRAMS: usize = 3;
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struct Automaton {
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struct Automaton {
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index: usize,
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index: usize,
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is_synonym: bool,
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is_exact: bool,
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number_words: usize,
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dfa: DfaExt,
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dfa: DfaExt,
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}
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}
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impl Automaton {
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impl Automaton {
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fn synonym(index: usize, number_words: usize, dfa: DfaExt) -> Automaton {
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fn exact(index: usize, dfa: DfaExt) -> Automaton {
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Automaton { index, is_synonym: true, number_words, dfa }
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Automaton { index, is_exact: true, dfa }
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}
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}
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fn original(index: usize, number_words: usize, dfa: DfaExt) -> Automaton {
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fn non_exact(index: usize, dfa: DfaExt) -> Automaton {
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Automaton { index, is_synonym: false, number_words, dfa }
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Automaton { index, is_exact: false, dfa }
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}
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}
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}
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}
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@ -58,17 +57,24 @@ fn generate_automatons<S: Store>(query: &str, store: &S) -> Result<Vec<Automaton
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let mut index = 0;
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let mut index = 0;
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let mut ngrams = query_words.windows(n).peekable();
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let mut ngrams = query_words.windows(n).peekable();
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while let Some(ngram) = ngrams.next() {
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while let Some(ngram_slice) = ngrams.next() {
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let ngram_nb_words = ngram.len();
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let ngram_nb_words = ngram_slice.len();
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let ngram = ngram.join(" ");
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let ngram = ngram_slice.join(" ");
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let concat = ngram_slice.concat();
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// automaton of concatenation of query words
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let normalized = normalize_str(&concat);
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let lev = build_dfa(&normalized);
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let automaton = Automaton::exact(index, lev);
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automatons.push((automaton, normalized));
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let has_following_word = ngrams.peek().is_some();
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let has_following_word = ngrams.peek().is_some();
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let not_prefix_dfa = has_following_word || has_end_whitespace || ngram.chars().all(is_cjk);
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let not_prefix_dfa = has_following_word || has_end_whitespace || ngram.chars().all(is_cjk);
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let lev = {
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// automaton of synonyms of the ngrams
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let normalized = normalize_str(&ngram);
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let normalized = normalize_str(&ngram);
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if not_prefix_dfa { build_dfa(&normalized) } else { build_prefix_dfa(&normalized) }
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let lev = if not_prefix_dfa { build_dfa(&normalized) } else { build_prefix_dfa(&normalized) };
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};
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let mut stream = synonyms.search(&lev).into_stream();
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let mut stream = synonyms.search(&lev).into_stream();
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while let Some(base) = stream.next() {
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while let Some(base) = stream.next() {
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@ -82,12 +88,16 @@ fn generate_automatons<S: Store>(query: &str, store: &S) -> Result<Vec<Automaton
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let mut stream = synonyms.into_stream();
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let mut stream = synonyms.into_stream();
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while let Some(synonyms) = stream.next() {
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while let Some(synonyms) = stream.next() {
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let synonyms = std::str::from_utf8(synonyms).unwrap();
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let synonyms = std::str::from_utf8(synonyms).unwrap();
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let nb_synonym_words = split_query_string(synonyms).count();
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let nb_synonym_words = split_query_string(synonyms).count();
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for synonym in split_query_string(synonyms) {
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for synonym in split_query_string(synonyms) {
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let lev = build_dfa(synonym);
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let lev = build_dfa(synonym);
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let automaton = Automaton::synonym(index, nb_synonym_words, lev);
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let automaton = if nb_synonym_words == 1 {
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Automaton::exact(index, lev)
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} else {
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Automaton::non_exact(index, lev)
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};
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automatons.push((automaton, synonym.to_owned()));
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automatons.push((automaton, synonym.to_owned()));
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}
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}
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}
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}
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@ -96,7 +106,7 @@ fn generate_automatons<S: Store>(query: &str, store: &S) -> Result<Vec<Automaton
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if n == 1 {
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if n == 1 {
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let lev = if not_prefix_dfa { build_dfa(&ngram) } else { build_prefix_dfa(&ngram) };
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let lev = if not_prefix_dfa { build_dfa(&ngram) } else { build_prefix_dfa(&ngram) };
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let automaton = Automaton::original(index, ngram_nb_words, lev);
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let automaton = Automaton::exact(index, lev);
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automatons.push((automaton, ngram));
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automatons.push((automaton, ngram));
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}
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}
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@ -174,9 +184,9 @@ where S: Store,
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while let Some((input, indexed_values)) = stream.next() {
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while let Some((input, indexed_values)) = stream.next() {
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for iv in indexed_values {
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for iv in indexed_values {
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let Automaton { index, is_synonym, number_words, ref dfa } = automatons[iv.index];
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let Automaton { index, is_exact, ref dfa } = automatons[iv.index];
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let distance = dfa.eval(input).to_u8();
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let distance = dfa.eval(input).to_u8();
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let is_exact = (is_synonym && number_words == 1) || (!is_synonym && distance == 0 && input.len() == dfa.query_len());
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let is_exact = is_exact && distance == 0 && input.len() == dfa.query_len();
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let doc_indexes = self.store.word_indexes(input)?;
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let doc_indexes = self.store.word_indexes(input)?;
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let doc_indexes = match doc_indexes {
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let doc_indexes = match doc_indexes {
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@ -1023,7 +1033,30 @@ mod tests {
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});
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});
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assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches }) => {
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assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches }) => {
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let mut iter = matches.into_iter();
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let mut iter = matches.into_iter();
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assert_matches!(iter.next(), Some(Match { query_index: 0, .. }));
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assert_matches!(iter.next(), Some(Match { query_index: 0, distance: 0, .. })); // téléphone
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assert_matches!(iter.next(), Some(Match { query_index: 0, distance: 1, .. })); // telephone
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assert_matches!(iter.next(), Some(Match { query_index: 0, distance: 2, .. })); // télephone
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assert_matches!(iter.next(), None);
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});
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assert_matches!(iter.next(), None);
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}
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#[test]
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fn simple_concatenation() {
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let store = InMemorySetStore::from_iter(vec![
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("iphone", &[doc_index(0, 0)][..]),
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("case", &[doc_index(0, 1)][..]),
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]);
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let builder = QueryBuilder::new(&store);
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let results = builder.query("i phone case", 0..20).unwrap();
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let mut iter = results.into_iter();
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assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches }) => {
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let mut iter = matches.into_iter();
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assert_matches!(iter.next(), Some(Match { query_index: 0, word_index: 0, distance: 0, .. })); // iphone
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assert_matches!(iter.next(), Some(Match { query_index: 1, word_index: 0, distance: 1, .. })); // phone
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assert_matches!(iter.next(), Some(Match { query_index: 2, word_index: 1, distance: 0, .. })); // case
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assert_matches!(iter.next(), None);
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assert_matches!(iter.next(), None);
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});
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});
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assert_matches!(iter.next(), None);
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assert_matches!(iter.next(), None);
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