mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-11-26 23:04:26 +01:00
Make the Typo and Words work with synonyms
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parent
f87c67fcad
commit
4e91b31b1f
@ -188,7 +188,7 @@ fn replacement(
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let n = real - range.start;
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let start = origins[origin];
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let end = origins[new_origin + 1];
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let end = origins.get(new_origin + 1)?;
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let remaining = (end - start) - n;
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Some(Range {
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@ -56,7 +56,11 @@ pub fn bucket_sort<'c>(
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let before_raw_documents_building = Instant::now();
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let mut raw_documents = Vec::new();
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for raw_matches in bare_matches.linear_group_by_key_mut(|sm| sm.document_id) {
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raw_documents.push(RawDocument { raw_matches, processed_matches: None });
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raw_documents.push(RawDocument {
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raw_matches,
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processed_matches: Vec::new(),
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processed_distances: Vec::new(),
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});
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}
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debug!("creating {} candidates documents took {:.02?}",
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raw_documents.len(),
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@ -134,7 +138,10 @@ pub fn bucket_sort<'c>(
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pub struct RawDocument<'a, 'tag> {
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pub raw_matches: &'a mut [BareMatch<'tag>],
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pub processed_matches: Option<Vec<SimpleMatch>>,
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pub processed_matches: Vec<SimpleMatch>,
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/// The list of minimum `distance` found
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/// where the `query_index` is the index
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pub processed_distances: Vec<Option<u8>>,
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}
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pub struct BareMatch<'tag> {
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@ -226,7 +233,7 @@ fn fetch_matches<'txn, 'tag>(
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for (query_index, automaton) in automatons.iter().enumerate() {
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let before_dfa = Instant::now();
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let dfa = automaton.dfa();
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let QueryWordAutomaton { index, query, is_exact, is_prefix } = automaton;
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let QueryWordAutomaton { query, is_exact, is_prefix } = automaton;
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dfa_time += before_dfa.elapsed();
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let mut number_of_words = 0;
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@ -287,7 +294,6 @@ fn fetch_matches<'txn, 'tag>(
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#[derive(Debug)]
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pub struct QueryWordAutomaton {
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index: usize,
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query: String,
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/// Is it a word that must be considered exact
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/// or is it some derived word (i.e. a synonym)
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@ -296,16 +302,16 @@ pub struct QueryWordAutomaton {
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}
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impl QueryWordAutomaton {
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pub fn exact(query: &str, index: usize) -> QueryWordAutomaton {
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QueryWordAutomaton { index, query: query.to_string(), is_exact: true, is_prefix: false }
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pub fn exact(query: &str) -> QueryWordAutomaton {
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QueryWordAutomaton { query: query.to_string(), is_exact: true, is_prefix: false }
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}
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pub fn exact_prefix(query: &str, index: usize) -> QueryWordAutomaton {
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QueryWordAutomaton { index, query: query.to_string(), is_exact: true, is_prefix: true }
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pub fn exact_prefix(query: &str) -> QueryWordAutomaton {
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QueryWordAutomaton { query: query.to_string(), is_exact: true, is_prefix: true }
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}
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pub fn non_exact(query: &str, index: usize) -> QueryWordAutomaton {
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QueryWordAutomaton { index, query: query.to_string(), is_exact: false, is_prefix: false }
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pub fn non_exact(query: &str) -> QueryWordAutomaton {
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QueryWordAutomaton { query: query.to_string(), is_exact: false, is_prefix: false }
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}
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pub fn dfa(&self) -> DFA {
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@ -317,27 +323,6 @@ impl QueryWordAutomaton {
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}
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}
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// fn construct_automatons(query: &str) -> Vec<QueryWordAutomaton> {
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// let has_end_whitespace = query.chars().last().map_or(false, char::is_whitespace);
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// let mut original_words = split_query_string(query).map(str::to_lowercase).peekable();
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// let mut automatons = Vec::new();
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// while let Some(word) = original_words.next() {
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// let has_following_word = original_words.peek().is_some();
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// let not_prefix_dfa = has_following_word || has_end_whitespace || word.chars().all(is_cjk);
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// let automaton = if not_prefix_dfa {
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// QueryWordAutomaton::exact(word)
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// } else {
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// QueryWordAutomaton::exact_prefix(word)
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// };
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// automatons.push(automaton);
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// }
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// automatons
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// }
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fn construct_automatons2(
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reader: &heed::RoTxn<MainT>,
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query: &str,
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@ -364,9 +349,9 @@ fn construct_automatons2(
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let not_prefix_dfa = has_following_word || has_end_whitespace || word.chars().all(is_cjk);
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let automaton = if not_prefix_dfa {
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QueryWordAutomaton::exact(word, automaton_index)
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QueryWordAutomaton::exact(word)
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} else {
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QueryWordAutomaton::exact_prefix(word, automaton_index)
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QueryWordAutomaton::exact_prefix(word)
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};
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automaton_index += 1;
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automatons.push(automaton);
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@ -413,9 +398,9 @@ fn construct_automatons2(
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for synonym in synonyms_words {
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let automaton = if nb_synonym_words == 1 {
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QueryWordAutomaton::exact(synonym, automaton_index)
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QueryWordAutomaton::exact(synonym)
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} else {
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QueryWordAutomaton::non_exact(synonym, automaton_index)
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QueryWordAutomaton::non_exact(synonym)
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};
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automaton_index += 1;
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automatons.push(automaton);
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@ -426,12 +411,12 @@ fn construct_automatons2(
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if n == 1 {
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if let Some((left, right)) = split_best_frequency(reader, &normalized, postings_lists_store)? {
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let left_automaton = QueryWordAutomaton::exact(left, automaton_index);
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let left_automaton = QueryWordAutomaton::exact(left);
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enhancer_builder.declare(query_range.clone(), automaton_index, &[left]);
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automaton_index += 1;
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automatons.push(left_automaton);
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let right_automaton = QueryWordAutomaton::exact(right, automaton_index);
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let right_automaton = QueryWordAutomaton::exact(right);
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enhancer_builder.declare(query_range.clone(), automaton_index, &[right]);
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automaton_index += 1;
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automatons.push(right_automaton);
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@ -445,23 +430,12 @@ fn construct_automatons2(
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let real_query_index = automaton_index;
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enhancer_builder.declare(query_range.clone(), real_query_index, &[&normalized]);
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let automaton = QueryWordAutomaton::exact(&normalized, automaton_index);
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let automaton = QueryWordAutomaton::exact(&normalized);
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automaton_index += 1;
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automatons.push(automaton);
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}
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}
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}
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// // order automatons, the most important first,
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// // we keep the original automatons at the front.
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// automatons[1..].sort_by_key(|group| {
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// let a = group.automatons.first().unwrap();
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// (
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// Reverse(a.is_exact),
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// a.ngram,
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// Reverse(group.automatons.len()),
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// )
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// });
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Ok((automatons, enhancer_builder.build()))
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}
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@ -41,6 +41,32 @@ pub trait Criterion {
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}
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}
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fn prepare_query_distances(
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documents: &mut [RawDocument],
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query_enhancer: &QueryEnhancer,
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) {
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for document in documents {
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if !document.processed_distances.is_empty() { continue }
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let mut processed = Vec::new();
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for m in document.raw_matches.iter() {
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let range = query_enhancer.replacement(m.query_index as u32);
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processed.resize(range.end as usize, None);
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for index in range {
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let index = index as usize;
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processed[index] = match processed[index] {
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Some(distance) if distance > m.distance => Some(m.distance),
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Some(distance) => Some(distance),
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None => Some(m.distance),
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};
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}
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}
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document.processed_distances = processed;
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}
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}
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pub struct Typo;
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impl Criterion for Typo {
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@ -52,9 +78,7 @@ impl Criterion for Typo {
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postings_lists: &mut PostingsListsArena,
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query_enhancer: &QueryEnhancer,
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) {
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for document in documents {
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document.raw_matches.sort_unstable_by_key(|bm| (bm.query_index, bm.distance));
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}
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prepare_query_distances(documents, query_enhancer);
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}
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fn evaluate(
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@ -79,20 +103,22 @@ impl Criterion for Typo {
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}
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#[inline]
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fn compute_typos(matches: &[BareMatch]) -> usize {
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fn compute_typos(distances: &[Option<u8>]) -> usize {
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let mut number_words: usize = 0;
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let mut sum_typos = 0.0;
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for group in matches.linear_group_by_key(|bm| bm.query_index) {
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sum_typos += custom_log10(group[0].distance);
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for distance in distances {
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if let Some(distance) = distance {
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sum_typos += custom_log10(*distance);
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number_words += 1;
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}
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}
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(number_words as f32 / (sum_typos + 1.0) * 1000.0) as usize
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}
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let lhs = compute_typos(&lhs.raw_matches);
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let rhs = compute_typos(&rhs.raw_matches);
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let lhs = compute_typos(&lhs.processed_distances);
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let rhs = compute_typos(&rhs.processed_distances);
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lhs.cmp(&rhs).reverse()
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}
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@ -109,9 +135,7 @@ impl Criterion for Words {
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postings_lists: &mut PostingsListsArena,
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query_enhancer: &QueryEnhancer,
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) {
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for document in documents {
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document.raw_matches.sort_unstable_by_key(|bm| bm.query_index);
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}
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prepare_query_distances(documents, query_enhancer);
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}
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fn evaluate(
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@ -122,28 +146,26 @@ impl Criterion for Words {
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) -> Ordering
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{
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#[inline]
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fn number_of_query_words(matches: &[BareMatch]) -> usize {
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matches.linear_group_by_key(|bm| bm.query_index).count()
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fn number_of_query_words(distances: &[Option<u8>]) -> usize {
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distances.iter().cloned().filter(Option::is_some).count()
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}
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let lhs = number_of_query_words(&lhs.raw_matches);
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let rhs = number_of_query_words(&rhs.raw_matches);
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let lhs = number_of_query_words(&lhs.processed_distances);
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let rhs = number_of_query_words(&rhs.processed_distances);
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lhs.cmp(&rhs).reverse()
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}
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}
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fn process_raw_matches<'a, 'tag, 'txn>(
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fn prepare_raw_matches<'a, 'tag, 'txn>(
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documents: &mut [RawDocument<'a, 'tag>],
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postings_lists: &mut PostingsListsArena<'tag, 'txn>,
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query_enhancer: &QueryEnhancer,
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) {
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for document in documents {
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if document.processed_matches.is_some() { continue }
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if !document.processed_matches.is_empty() { continue }
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let mut processed = Vec::new();
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let document_id = document.raw_matches[0].document_id;
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for m in document.raw_matches.iter() {
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let postings_list = &postings_lists[m.postings_list];
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processed.reserve(postings_list.len());
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@ -160,7 +182,7 @@ fn process_raw_matches<'a, 'tag, 'txn>(
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}
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let processed = multiword_rewrite_matches(&mut processed, query_enhancer);
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document.processed_matches = Some(processed.into_vec());
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document.processed_matches = processed.into_vec();
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}
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}
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@ -175,7 +197,7 @@ impl Criterion for Proximity {
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postings_lists: &mut PostingsListsArena<'tag, 'txn>,
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query_enhancer: &QueryEnhancer,
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) {
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process_raw_matches(documents, postings_lists, query_enhancer);
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prepare_raw_matches(documents, postings_lists, query_enhancer);
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}
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fn evaluate<'a, 'tag, 'txn>(
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@ -225,8 +247,8 @@ impl Criterion for Proximity {
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proximity
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}
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let lhs = matches_proximity(&lhs.processed_matches.as_ref().unwrap());
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let rhs = matches_proximity(&rhs.processed_matches.as_ref().unwrap());
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let lhs = matches_proximity(&lhs.processed_matches);
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let rhs = matches_proximity(&rhs.processed_matches);
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lhs.cmp(&rhs)
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}
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@ -243,7 +265,7 @@ impl Criterion for Attribute {
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postings_lists: &mut PostingsListsArena<'tag, 'txn>,
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query_enhancer: &QueryEnhancer,
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) {
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process_raw_matches(documents, postings_lists, query_enhancer);
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prepare_raw_matches(documents, postings_lists, query_enhancer);
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}
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fn evaluate<'a, 'tag, 'txn>(
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@ -262,8 +284,8 @@ impl Criterion for Attribute {
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sum_attribute
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}
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let lhs = sum_attribute(&lhs.processed_matches.as_ref().unwrap());
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let rhs = sum_attribute(&rhs.processed_matches.as_ref().unwrap());
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let lhs = sum_attribute(&lhs.processed_matches);
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let rhs = sum_attribute(&rhs.processed_matches);
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lhs.cmp(&rhs)
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}
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@ -280,7 +302,7 @@ impl Criterion for WordsPosition {
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postings_lists: &mut PostingsListsArena<'tag, 'txn>,
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query_enhancer: &QueryEnhancer,
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) {
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process_raw_matches(documents, postings_lists, query_enhancer);
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prepare_raw_matches(documents, postings_lists, query_enhancer);
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}
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fn evaluate<'a, 'tag, 'txn>(
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@ -299,8 +321,8 @@ impl Criterion for WordsPosition {
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sum_words_position
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}
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let lhs = sum_words_position(&lhs.processed_matches.as_ref().unwrap());
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let rhs = sum_words_position(&rhs.processed_matches.as_ref().unwrap());
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let lhs = sum_words_position(&lhs.processed_matches);
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let rhs = sum_words_position(&rhs.processed_matches);
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lhs.cmp(&rhs)
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}
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