mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-11-25 14:24:26 +01:00
Search: spans with a finer granularity
This commit is contained in:
parent
3129f96603
commit
128e6c7502
@ -752,10 +752,15 @@ fn prepare_search<'t>(
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SearchKind::SemanticOnly { embedder_name, embedder } => {
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let vector = match query.vector.clone() {
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Some(vector) => vector,
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None => embedder
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None => {
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let span = tracing::trace_span!(target: "search::vector", "embed_one");
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let _entered = span.enter();
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embedder
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.embed_one(query.q.clone().unwrap())
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.map_err(milli::vector::Error::from)
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.map_err(milli::Error::from)?,
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.map_err(milli::Error::from)?
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}
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};
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search.semantic(embedder_name.clone(), embedder.clone(), Some(vector));
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@ -17,6 +17,7 @@ struct ScoreWithRatioResult {
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type ScoreWithRatio = (Vec<ScoreDetails>, f32);
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#[tracing::instrument(level = "trace", skip_all, target = "search::hybrid")]
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fn compare_scores(
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&(ref left_scores, left_ratio): &ScoreWithRatio,
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&(ref right_scores, right_ratio): &ScoreWithRatio,
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@ -84,6 +85,7 @@ impl ScoreWithRatioResult {
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}
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::hybrid")]
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fn merge(
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vector_results: Self,
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keyword_results: Self,
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@ -150,6 +152,7 @@ impl ScoreWithRatioResult {
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}
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impl<'a> Search<'a> {
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#[tracing::instrument(level = "trace", skip_all, target = "search::hybrid")]
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pub fn execute_hybrid(&self, semantic_ratio: f32) -> Result<(SearchResult, Option<u32>)> {
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// TODO: find classier way to achieve that than to reset vector and query params
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// create separate keyword and semantic searches
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@ -194,6 +197,9 @@ impl<'a> Search<'a> {
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Some(vector_query) => vector_query,
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None => {
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// attempt to embed the vector
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let span = tracing::trace_span!(target: "search::hybrid", "embed_one");
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let _entered = span.enter();
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match embedder.embed_one(query) {
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Ok(embedding) => embedding,
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Err(error) => {
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@ -213,9 +213,6 @@ pub fn bucket_sort<'ctx, Q: RankingRuleQueryTrait>(
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continue;
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}
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let span = tracing::trace_span!(target: "search::bucket_sort", "next_bucket", id = ranking_rules[cur_ranking_rule_index].id());
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let entered = span.enter();
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let Some(next_bucket) = ranking_rules[cur_ranking_rule_index].next_bucket(
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ctx,
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logger,
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@ -225,7 +222,6 @@ pub fn bucket_sort<'ctx, Q: RankingRuleQueryTrait>(
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back!();
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continue;
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};
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drop(entered);
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ranking_rule_scores.push(next_bucket.score);
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@ -27,6 +27,7 @@ impl<'ctx> RankingRule<'ctx, QueryGraph> for ExactAttribute {
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"exact_attribute".to_owned()
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::exact_attribute")]
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fn start_iteration(
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&mut self,
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ctx: &mut SearchContext<'ctx>,
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@ -38,6 +39,7 @@ impl<'ctx> RankingRule<'ctx, QueryGraph> for ExactAttribute {
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Ok(())
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::exact_attribute")]
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fn next_bucket(
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&mut self,
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_ctx: &mut SearchContext<'ctx>,
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@ -51,6 +53,7 @@ impl<'ctx> RankingRule<'ctx, QueryGraph> for ExactAttribute {
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Ok(output)
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::exact_attribute")]
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fn end_iteration(
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&mut self,
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_ctx: &mut SearchContext<'ctx>,
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@ -209,6 +209,7 @@ impl<'ctx, Q: RankingRuleQueryTrait> RankingRule<'ctx, Q> for GeoSort<Q> {
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"geo_sort".to_owned()
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::geo_sort")]
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fn start_iteration(
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&mut self,
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ctx: &mut SearchContext<'ctx>,
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@ -234,6 +235,7 @@ impl<'ctx, Q: RankingRuleQueryTrait> RankingRule<'ctx, Q> for GeoSort<Q> {
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Ok(())
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::geo_sort")]
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#[allow(clippy::only_used_in_recursion)]
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fn next_bucket(
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&mut self,
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@ -285,6 +287,7 @@ impl<'ctx, Q: RankingRuleQueryTrait> RankingRule<'ctx, Q> for GeoSort<Q> {
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self.next_bucket(ctx, logger, universe)
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::geo_sort")]
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fn end_iteration(&mut self, _ctx: &mut SearchContext<'ctx>, _logger: &mut dyn SearchLogger<Q>) {
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// we do not reset the rtree here, it could be used in a next iteration
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self.query = None;
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@ -127,6 +127,8 @@ impl<'ctx, G: RankingRuleGraphTrait> RankingRule<'ctx, QueryGraph> for GraphBase
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fn id(&self) -> String {
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self.id.clone()
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::graph_based")]
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fn start_iteration(
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&mut self,
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ctx: &mut SearchContext<'ctx>,
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@ -209,6 +211,7 @@ impl<'ctx, G: RankingRuleGraphTrait> RankingRule<'ctx, QueryGraph> for GraphBase
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Ok(())
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::graph_based")]
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fn next_bucket(
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&mut self,
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ctx: &mut SearchContext<'ctx>,
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@ -358,6 +361,7 @@ impl<'ctx, G: RankingRuleGraphTrait> RankingRule<'ctx, QueryGraph> for GraphBase
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Ok(Some(RankingRuleOutput { query: next_query_graph, candidates: bucket, score }))
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::graph_based")]
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fn end_iteration(
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&mut self,
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_ctx: &mut SearchContext<'ctx>,
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@ -212,7 +212,7 @@ fn resolve_maximally_reduced_query_graph(
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Ok(docids)
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search")]
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#[tracing::instrument(level = "trace", skip_all, target = "search::universe")]
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fn resolve_universe(
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ctx: &mut SearchContext,
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initial_universe: &RoaringBitmap,
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@ -229,7 +229,7 @@ fn resolve_universe(
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)
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search")]
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#[tracing::instrument(level = "trace", skip_all, target = "search::query")]
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fn resolve_negative_words(
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ctx: &mut SearchContext,
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negative_words: &[Word],
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@ -243,7 +243,7 @@ fn resolve_negative_words(
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Ok(negative_bitmap)
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search")]
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#[tracing::instrument(level = "trace", skip_all, target = "search::query")]
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fn resolve_negative_phrases(
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ctx: &mut SearchContext,
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negative_phrases: &[LocatedQueryTerm],
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@ -548,7 +548,7 @@ fn resolve_sort_criteria<'ctx, Query: RankingRuleQueryTrait>(
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Ok(())
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search")]
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#[tracing::instrument(level = "trace", skip_all, target = "search::universe")]
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pub fn filtered_universe(
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index: &Index,
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txn: &RoTxn<'_>,
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@ -620,7 +620,7 @@ pub fn execute_vector_search(
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}
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#[allow(clippy::too_many_arguments)]
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#[tracing::instrument(level = "trace", skip_all, target = "search")]
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#[tracing::instrument(level = "trace", skip_all, target = "search::main")]
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pub fn execute_search(
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ctx: &mut SearchContext,
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query: Option<&str>,
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@ -44,6 +44,7 @@ fn compute_docids(
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impl RankingRuleGraphTrait for ExactnessGraph {
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type Condition = ExactnessCondition;
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#[tracing::instrument(level = "trace", skip_all, target = "search::exactness")]
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fn resolve_condition(
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ctx: &mut SearchContext,
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condition: &Self::Condition,
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@ -71,6 +72,7 @@ impl RankingRuleGraphTrait for ExactnessGraph {
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})
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::exactness")]
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fn build_edges(
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_ctx: &mut SearchContext,
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conditions_interner: &mut DedupInterner<Self::Condition>,
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@ -86,6 +88,7 @@ impl RankingRuleGraphTrait for ExactnessGraph {
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Ok(vec![(0, exact_condition), (dest_node.term_ids.len() as u32, skip_condition)])
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::exactness")]
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fn rank_to_score(rank: Rank) -> ScoreDetails {
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ScoreDetails::ExactWords(score_details::ExactWords::from_rank(rank))
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}
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@ -20,6 +20,7 @@ pub enum FidGraph {}
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impl RankingRuleGraphTrait for FidGraph {
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type Condition = FidCondition;
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#[tracing::instrument(level = "trace", skip_all, target = "search::fid")]
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fn resolve_condition(
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ctx: &mut SearchContext,
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condition: &Self::Condition,
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@ -44,6 +45,7 @@ impl RankingRuleGraphTrait for FidGraph {
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})
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::fid")]
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fn build_edges(
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ctx: &mut SearchContext,
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conditions_interner: &mut DedupInterner<Self::Condition>,
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@ -101,6 +103,7 @@ impl RankingRuleGraphTrait for FidGraph {
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Ok(edges)
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::fid")]
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fn rank_to_score(rank: Rank) -> ScoreDetails {
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ScoreDetails::Fid(rank)
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}
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@ -20,6 +20,7 @@ pub enum PositionGraph {}
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impl RankingRuleGraphTrait for PositionGraph {
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type Condition = PositionCondition;
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#[tracing::instrument(level = "trace", skip_all, target = "search::position")]
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fn resolve_condition(
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ctx: &mut SearchContext,
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condition: &Self::Condition,
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@ -44,6 +45,7 @@ impl RankingRuleGraphTrait for PositionGraph {
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})
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::position")]
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fn build_edges(
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ctx: &mut SearchContext,
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conditions_interner: &mut DedupInterner<Self::Condition>,
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@ -117,6 +119,7 @@ impl RankingRuleGraphTrait for PositionGraph {
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Ok(edges)
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::position")]
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fn rank_to_score(rank: Rank) -> ScoreDetails {
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ScoreDetails::Position(rank)
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}
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@ -21,6 +21,7 @@ pub enum ProximityGraph {}
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impl RankingRuleGraphTrait for ProximityGraph {
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type Condition = ProximityCondition;
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#[tracing::instrument(level = "trace", skip_all, target = "search::proximity")]
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fn resolve_condition(
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ctx: &mut SearchContext,
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condition: &Self::Condition,
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@ -29,6 +30,7 @@ impl RankingRuleGraphTrait for ProximityGraph {
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compute_docids::compute_docids(ctx, condition, universe)
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::proximity")]
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fn build_edges(
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ctx: &mut SearchContext,
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conditions_interner: &mut DedupInterner<Self::Condition>,
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@ -38,6 +40,7 @@ impl RankingRuleGraphTrait for ProximityGraph {
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build::build_edges(ctx, conditions_interner, source_term, dest_term)
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::proximity")]
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fn rank_to_score(rank: Rank) -> ScoreDetails {
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ScoreDetails::Proximity(rank)
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}
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@ -19,6 +19,7 @@ pub enum TypoGraph {}
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impl RankingRuleGraphTrait for TypoGraph {
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type Condition = TypoCondition;
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#[tracing::instrument(level = "trace", skip_all, target = "search::typo")]
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fn resolve_condition(
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ctx: &mut SearchContext,
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condition: &Self::Condition,
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@ -37,6 +38,7 @@ impl RankingRuleGraphTrait for TypoGraph {
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})
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::typo")]
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fn build_edges(
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ctx: &mut SearchContext,
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conditions_interner: &mut DedupInterner<Self::Condition>,
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@ -77,6 +79,7 @@ impl RankingRuleGraphTrait for TypoGraph {
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Ok(edges)
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::typo")]
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fn rank_to_score(rank: Rank) -> ScoreDetails {
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ScoreDetails::Typo(score_details::Typo::from_rank(rank))
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}
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@ -18,6 +18,7 @@ pub enum WordsGraph {}
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impl RankingRuleGraphTrait for WordsGraph {
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type Condition = WordsCondition;
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#[tracing::instrument(level = "trace", skip_all, target = "search::words")]
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fn resolve_condition(
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ctx: &mut SearchContext,
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condition: &Self::Condition,
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@ -36,6 +37,7 @@ impl RankingRuleGraphTrait for WordsGraph {
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})
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::words")]
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fn build_edges(
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_ctx: &mut SearchContext,
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conditions_interner: &mut DedupInterner<Self::Condition>,
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@ -45,6 +47,7 @@ impl RankingRuleGraphTrait for WordsGraph {
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Ok(vec![(0, conditions_interner.insert(WordsCondition { term: to_term.clone() }))])
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::words")]
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fn rank_to_score(rank: Rank) -> ScoreDetails {
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ScoreDetails::Words(score_details::Words::from_rank(rank))
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}
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@ -88,6 +88,8 @@ impl<'ctx, Query: RankingRuleQueryTrait> RankingRule<'ctx, Query> for Sort<'ctx,
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let Self { field_name, is_ascending, .. } = self;
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format!("{field_name}:{}", if *is_ascending { "asc" } else { "desc" })
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::sort")]
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fn start_iteration(
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&mut self,
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ctx: &mut SearchContext<'ctx>,
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@ -186,6 +188,7 @@ impl<'ctx, Query: RankingRuleQueryTrait> RankingRule<'ctx, Query> for Sort<'ctx,
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Ok(())
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::sort")]
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fn next_bucket(
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&mut self,
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_ctx: &mut SearchContext<'ctx>,
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@ -211,6 +214,7 @@ impl<'ctx, Query: RankingRuleQueryTrait> RankingRule<'ctx, Query> for Sort<'ctx,
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}
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::sort")]
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fn end_iteration(
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&mut self,
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_ctx: &mut SearchContext<'ctx>,
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@ -73,6 +73,7 @@ impl<'ctx, Q: RankingRuleQueryTrait> RankingRule<'ctx, Q> for VectorSort<Q> {
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"vector_sort".to_owned()
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::vector_sort")]
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fn start_iteration(
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&mut self,
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ctx: &mut SearchContext<'ctx>,
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@ -89,6 +90,7 @@ impl<'ctx, Q: RankingRuleQueryTrait> RankingRule<'ctx, Q> for VectorSort<Q> {
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}
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#[allow(clippy::only_used_in_recursion)]
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#[tracing::instrument(level = "trace", skip_all, target = "search::vector_sort")]
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fn next_bucket(
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&mut self,
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ctx: &mut SearchContext<'ctx>,
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@ -139,6 +141,7 @@ impl<'ctx, Q: RankingRuleQueryTrait> RankingRule<'ctx, Q> for VectorSort<Q> {
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self.next_bucket(ctx, _logger, universe)
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::vector_sort")]
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fn end_iteration(&mut self, _ctx: &mut SearchContext<'ctx>, _logger: &mut dyn SearchLogger<Q>) {
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self.query = None;
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}
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