mirror of
https://github.com/meilisearch/meilisearch.git
synced 2025-03-12 20:02:52 +08:00
204 lines
7.7 KiB
Rust
204 lines
7.7 KiB
Rust
use std::collections::BTreeMap;
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use itertools::Itertools;
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use super::ProximityEdge;
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use crate::search::new::query_term::{LocatedQueryTerm, QueryTerm, WordDerivations};
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use crate::search::new::ranking_rule_graph::proximity::WordPair;
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use crate::search::new::ranking_rule_graph::EdgeDetails;
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use crate::search::new::{QueryNode, SearchContext};
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use crate::Result;
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pub fn visit_from_node(
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ctx: &mut SearchContext,
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from_node: &QueryNode,
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) -> Result<Option<(WordDerivations, i8)>> {
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Ok(Some(match from_node {
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QueryNode::Term(LocatedQueryTerm { value: value1, positions: pos1 }) => match value1 {
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QueryTerm::Word { derivations } => (derivations.clone(), *pos1.end()),
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QueryTerm::Phrase { phrase: phrase1 } => {
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let phrase1 = ctx.phrase_interner.get(*phrase1);
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if let Some(original) = *phrase1.words.last().unwrap() {
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(
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WordDerivations {
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original,
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zero_typo: Box::new([original]),
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one_typo: Box::new([]),
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two_typos: Box::new([]),
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use_prefix_db: false,
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synonyms: Box::new([]),
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split_words: None,
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},
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*pos1.end(),
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)
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} else {
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// No word pairs if the phrase does not have a regular word as its last term
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return Ok(None);
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}
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}
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},
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QueryNode::Start => (
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WordDerivations {
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original: ctx.word_interner.insert(String::new()),
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zero_typo: Box::new([]),
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one_typo: Box::new([]),
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two_typos: Box::new([]),
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use_prefix_db: false,
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synonyms: Box::new([]),
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split_words: None,
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},
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-100,
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),
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_ => return Ok(None),
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}))
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}
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pub fn visit_to_node<'search, 'from_data>(
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ctx: &mut SearchContext<'search>,
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to_node: &QueryNode,
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from_node_data: &'from_data (WordDerivations, i8),
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) -> Result<Vec<(u8, EdgeDetails<ProximityEdge>)>> {
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let (derivations1, pos1) = from_node_data;
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let term2 = match &to_node {
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QueryNode::End => return Ok(vec![(0, EdgeDetails::Unconditional)]),
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QueryNode::Deleted | QueryNode::Start => return Ok(vec![]),
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QueryNode::Term(term) => term,
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};
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let LocatedQueryTerm { value: value2, positions: pos2 } = term2;
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let (derivations2, pos2, ngram_len2) = match value2 {
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QueryTerm::Word { derivations } => (derivations.clone(), *pos2.start(), pos2.len()),
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QueryTerm::Phrase { phrase: phrase2 } => {
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let phrase2 = ctx.phrase_interner.get(*phrase2);
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if let Some(original) = *phrase2.words.first().unwrap() {
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(
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WordDerivations {
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original,
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zero_typo: Box::new([original]),
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one_typo: Box::new([]),
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two_typos: Box::new([]),
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use_prefix_db: false,
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synonyms: Box::new([]),
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split_words: None,
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},
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*pos2.start(),
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1,
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)
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} else {
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// No word pairs if the phrase does not have a regular word as its first term
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return Ok(vec![]);
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}
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}
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};
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if pos1 + 1 != pos2 {
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// TODO: how should this actually be handled?
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// We want to effectively ignore this pair of terms
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// Unconditionally walk through the edge without computing the docids
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// But also what should the cost be?
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return Ok(vec![(0, EdgeDetails::Unconditional)]);
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}
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let updb1 = derivations1.use_prefix_db;
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let updb2 = derivations2.use_prefix_db;
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// left term cannot be a prefix
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assert!(!updb1);
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let derivations1 = derivations1.all_derivations_except_prefix_db();
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// TODO: eventually, we want to get rid of the uses from `orginal`
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let mut cost_proximity_word_pairs = BTreeMap::<u8, BTreeMap<u8, Vec<WordPair>>>::new();
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if updb2 {
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for word1 in derivations1.clone() {
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for proximity in 1..=(8 - ngram_len2) {
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let cost = (proximity + ngram_len2 - 1) as u8;
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// TODO: if we had access to the universe here, we could already check whether
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// the bitmap corresponding to this word pair is disjoint with the universe or not
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if ctx
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.get_word_prefix_pair_proximity_docids(
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word1,
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derivations2.original,
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proximity as u8,
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)?
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.is_some()
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{
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cost_proximity_word_pairs
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.entry(cost)
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.or_default()
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.entry(proximity as u8)
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.or_default()
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.push(WordPair::WordPrefix {
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left: word1,
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right_prefix: derivations2.original,
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});
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}
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if ctx
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.get_prefix_word_pair_proximity_docids(
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derivations2.original,
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word1,
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proximity as u8 - 1,
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)?
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.is_some()
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{
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cost_proximity_word_pairs
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.entry(cost)
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.or_default()
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.entry(proximity as u8)
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.or_default()
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.push(WordPair::WordPrefixSwapped {
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left_prefix: derivations2.original,
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right: word1,
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});
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}
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}
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}
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}
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let derivations2 = derivations2.all_derivations_except_prefix_db();
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// TODO: add safeguard in case the cartesian product is too large?
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let product_derivations = derivations1.cartesian_product(derivations2);
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for (word1, word2) in product_derivations {
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for proximity in 1..=(8 - ngram_len2) {
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let cost = (proximity + ngram_len2 - 1) as u8;
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if ctx.get_word_pair_proximity_docids(word1, word2, proximity as u8)?.is_some() {
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cost_proximity_word_pairs
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.entry(cost)
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.or_default()
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.entry(proximity as u8)
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.or_default()
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.push(WordPair::Words { left: word1, right: word2 });
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}
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if proximity > 1
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&& ctx.get_word_pair_proximity_docids(word2, word1, proximity as u8 - 1)?.is_some()
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{
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cost_proximity_word_pairs
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.entry(cost)
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.or_default()
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.entry(proximity as u8 - 1)
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.or_default()
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.push(WordPair::Words { left: word2, right: word1 });
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}
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}
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}
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let mut new_edges = cost_proximity_word_pairs
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.into_iter()
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.flat_map(|(cost, proximity_word_pairs)| {
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let mut edges = vec![];
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for (proximity, word_pairs) in proximity_word_pairs {
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edges.push((
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cost,
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EdgeDetails::Data(ProximityEdge {
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pairs: word_pairs.into_boxed_slice(),
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proximity,
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}),
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))
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}
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edges
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})
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.collect::<Vec<_>>();
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new_edges.push((8 + (ngram_len2 - 1) as u8, EdgeDetails::Unconditional));
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Ok(new_edges)
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}
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