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https://github.com/meilisearch/meilisearch.git
synced 2024-11-23 10:37:41 +08:00
feat: Remove query splitting from the automaton generation
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parent
225a3bf184
commit
795557c046
@ -65,29 +65,6 @@ pub fn normalize_str(string: &str) -> String {
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string
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}
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fn split_best_frequency<'a, S: Store>(
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word: &'a str,
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store: &S,
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) -> Result<Option<(&'a str, &'a str)>, S::Error>
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{
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let chars = word.char_indices().skip(1);
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let mut best = None;
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for (i, _) in chars {
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let (left, right) = word.split_at(i);
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let left_freq = store.word_indexes(left.as_bytes())?.map_or(0, |i| i.len());
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let right_freq = store.word_indexes(right.as_bytes())?.map_or(0, |i| i.len());
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let min_freq = cmp::min(left_freq, right_freq);
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if min_freq != 0 && best.map_or(true, |(old, _, _)| min_freq > old) {
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best = Some((min_freq, left, right));
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}
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}
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Ok(best.map(|(_, l, r)| (l, r)))
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}
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fn generate_automatons<S: Store>(query: &str, store: &S) -> Result<(Vec<Automaton>, QueryEnhancer), S::Error> {
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let has_end_whitespace = query.chars().last().map_or(false, char::is_whitespace);
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let query_words: Vec<_> = split_query_string(query).map(str::to_lowercase).collect();
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@ -160,24 +137,7 @@ fn generate_automatons<S: Store>(query: &str, store: &S) -> Result<(Vec<Automato
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}
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}
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if n == 1 {
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// TODO we do not support "phrase query" in other words:
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// first term *must* follow the second term
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if let Some((left, right)) = split_best_frequency(&ngram, store)? {
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let real_query_index = automatons.len();
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enhancer_builder.declare(query_range.clone(), real_query_index, &[left, right]);
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// TODO must mark it as "phrase query"
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// (the next match must follow its query index)
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let automaton = Automaton::exact(left);
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automatons.push(automaton);
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let automaton = Automaton::exact(right);
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automatons.push(automaton);
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}
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} else {
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if n != 1 {
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// automaton of concatenation of query words
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let concat = ngram_slice.concat();
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let normalized = normalize_str(&concat);
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@ -1544,50 +1504,4 @@ mod tests {
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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_split() {
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let store = InMemorySetStore::from_iter(vec![
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("porte", &[doc_char_index(0, 0, 0)][..]),
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("feuille", &[doc_char_index(0, 1, 1)][..]),
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("search", &[doc_char_index(1, 0, 0)][..]),
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("engine", &[doc_char_index(1, 1, 1)][..]),
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]);
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let builder = QueryBuilder::new(&store);
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let results = builder.query("portefeuille", 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, highlights }) => {
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let mut matches = matches.into_iter();
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let mut highlights = highlights.into_iter();
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assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, .. })); // porte
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assert_matches!(highlights.next(), Some(Highlight { char_index: 0, .. }));
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assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, .. })); // feuille
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assert_matches!(highlights.next(), Some(Highlight { char_index: 1, .. }));
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assert_matches!(matches.next(), None);
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});
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assert_matches!(iter.next(), None);
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let builder = QueryBuilder::new(&store);
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let results = builder.query("searchengine", 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(1), matches, highlights }) => {
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let mut matches = matches.into_iter();
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let mut highlights = highlights.into_iter();
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assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, .. })); // search
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assert_matches!(highlights.next(), Some(Highlight { char_index: 0, .. }));
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assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, .. })); // engine
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assert_matches!(highlights.next(), Some(Highlight { char_index: 1, .. }));
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assert_matches!(matches.next(), None);
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});
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assert_matches!(iter.next(), None);
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}
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}
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