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https://github.com/meilisearch/MeiliSearch
synced 2024-12-24 13:40:31 +01:00
Introduce the depth_first_search path resolution function
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@ -186,8 +186,6 @@ impl<'a> Search<'a> {
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debug!("candidates: {:?}", candidates);
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let mut documents = Vec::new();
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// If there is only one query word, no need to compute the best proximities.
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if derived_words.len() == 1 || candidates.is_empty() {
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let found_words = derived_words.into_iter().flat_map(|(w, _)| w).map(|(w, _)| w).collect();
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@ -211,31 +209,53 @@ impl<'a> Search<'a> {
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pairs
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}
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let mut answer = RoaringBitmap::new();
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for (i, words) in derived_words.windows(2).enumerate() {
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let pairs = words_pair_combinations(&words[0].0, &words[1].0);
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eprintln!("found pairs {:?}", pairs);
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fn depth_first_search(
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index: &Index,
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rtxn: &heed::RoTxn,
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words: &[(HashMap<String, (u8, RoaringBitmap)>, RoaringBitmap)],
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candidates: &RoaringBitmap,
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parent_docids: Option<&RoaringBitmap>,
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) -> anyhow::Result<Option<RoaringBitmap>>
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{
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let (words1, words2) = (&words[0].0, &words[1].0);
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let pairs = words_pair_combinations(words1, words2);
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let mut pairs_union = RoaringBitmap::new();
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'pairs: for (w1, w2) in pairs {
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for prox in 1..=7 {
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let key = (w1, w2, prox);
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eprintln!("{:?}", key);
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if let Some(docids) = index.word_pair_proximity_docids.get(rtxn, &key)? {
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pairs_union.union_with(&docids);
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continue 'pairs;
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for proximity in 1..=8 {
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let mut docids = RoaringBitmap::new();
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if proximity == 8 {
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docids = candidates.clone();
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} else {
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for (w1, w2) in pairs.iter().cloned() {
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let key = (w1, w2, proximity);
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if let Some(di) = index.word_pair_proximity_docids.get(rtxn, &key)? {
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docids.union_with(&di);
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}
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}
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};
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if let Some(parent_docids) = &parent_docids {
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docids.intersect_with(parent_docids);
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}
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if !docids.is_empty() {
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let words = &words[1..];
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// We are the last word.
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if words.len() < 2 { return Ok(Some(docids)) }
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if let Some(di) = depth_first_search(index, rtxn, words, candidates, Some(&docids))? {
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return Ok(Some(di))
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}
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}
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}
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if i == 0 {
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answer = pairs_union;
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} else {
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answer.intersect_with(&pairs_union);
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}
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Ok(None)
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}
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documents.push(answer);
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let mut documents = Vec::new();
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let answer = depth_first_search(index, rtxn, &derived_words, &candidates, None)?;
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if let Some(answer) = answer {
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documents.push(answer);
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}
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let found_words = derived_words.into_iter().flat_map(|(w, _)| w).map(|(w, _)| w).collect();
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let documents_ids = documents.into_iter().flatten().take(limit).collect();
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