mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-11-29 16:24:26 +01:00
Improve the visual/detailed search logger
This commit is contained in:
parent
6ba4d5e987
commit
173e37584c
@ -94,6 +94,8 @@ impl<'transaction, G: RankingRuleGraphTrait> RankingRule<'transaction, QueryGrap
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return Ok(None);
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}
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G::log_state(&state.graph, &paths, logger);
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let bucket = state.graph.resolve_paths(
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index,
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txn,
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@ -5,6 +5,8 @@ use std::path::Path;
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use std::{io::Write, path::PathBuf};
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use crate::new::QueryNode;
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use crate::new::query_term::{LocatedQueryTerm, QueryTerm, WordDerivations};
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use crate::new::ranking_rule_graph::{Edge, EdgeDetails, RankingRuleGraphTrait};
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use crate::new::ranking_rule_graph::{
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paths_map::PathsMap, proximity::ProximityGraph, RankingRuleGraph,
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};
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@ -113,6 +115,11 @@ impl SearchLogger<QueryGraph> for DetailedSearchLogger {
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self.events.push(SearchEvents::WordsState { query_graph: query_graph.clone() });
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}
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fn log_proximity_state(&mut self, query_graph: &RankingRuleGraph<ProximityGraph>, paths_map: &PathsMap<u64>,) {
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self.events.push(SearchEvents::ProximityState { graph: query_graph.clone(), paths: paths_map.clone() })
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}
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}
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impl DetailedSearchLogger {
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@ -129,7 +136,7 @@ impl DetailedSearchLogger {
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}
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let index_path = self.folder_path.join("index.d2");
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let mut file = std::fs::File::create(&index_path).unwrap();
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let mut file = std::fs::File::create(index_path).unwrap();
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writeln!(&mut file, "Control Flow Between Ranking Rules: {{").unwrap();
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writeln!(&mut file, "shape: sequence_diagram");
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for (idx, rr_id) in self.ranking_rules_ids.as_ref().unwrap().iter().enumerate() {
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@ -210,29 +217,143 @@ results.{random} {{
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let id = format!("{cur_ranking_rule}.{cur_activated_id}");
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let mut new_file_path = self.folder_path.join(format!("{id}.d2"));
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let mut new_file = std::fs::File::create(new_file_path).unwrap();
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Self::query_graph_d2_description(&query_graph, &mut new_file);
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Self::query_graph_d2_description(query_graph, &mut new_file);
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writeln!(
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&mut file,
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"{id} {{
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link: \"{id}.d2.svg\"
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}}").unwrap();
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},
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SearchEvents::ProximityState { graph, paths } => {
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let cur_ranking_rule = timestamp.len() - 1;
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let cur_activated_id = activated_id(×tamp);
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let id = format!("{cur_ranking_rule}.{cur_activated_id}");
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let mut new_file_path = self.folder_path.join(format!("{id}.d2"));
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let mut new_file = std::fs::File::create(new_file_path).unwrap();
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Self::proximity_graph_d2_description(graph, paths, &mut new_file);
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writeln!(
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&mut file,
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"{id} {{
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link: \"{id}.d2.svg\"
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}}").unwrap();
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},
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SearchEvents::ProximityState { graph, paths } => todo!(),
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}
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}
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writeln!(&mut file, "}}");
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}
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fn query_node_d2_desc(node_idx: usize, node: &QueryNode, file: &mut File) {
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match &node {
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QueryNode::Term(LocatedQueryTerm { value, positions }) => {
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match value {
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QueryTerm::Phrase(_) => todo!(),
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QueryTerm::Word { derivations: WordDerivations { original, zero_typo, one_typo, two_typos, use_prefix_db } } => {
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writeln!(file,"{node_idx} : \"{original}\" {{
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shape: class").unwrap();
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for w in zero_typo {
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writeln!(file, "\"{w}\" : 0").unwrap();
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}
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for w in one_typo {
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writeln!(file, "\"{w}\" : 1").unwrap();
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}
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for w in two_typos {
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writeln!(file, "\"{w}\" : 2").unwrap();
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}
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if *use_prefix_db {
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writeln!(file, "use prefix DB : true").unwrap();
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}
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writeln!(file, "}}").unwrap();
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},
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}
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},
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QueryNode::Deleted => panic!(),
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QueryNode::Start => {
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writeln!(file,"{node_idx} : START").unwrap();
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},
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QueryNode::End => {
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writeln!(file,"{node_idx} : END").unwrap();
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},
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}
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}
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fn query_graph_d2_description(query_graph: &QueryGraph, file: &mut File) {
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writeln!(file,"direction: right");
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for node in 0..query_graph.nodes.len() {
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if matches!(query_graph.nodes[node], QueryNode::Deleted) {
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continue;
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}
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writeln!(file,"{node}");
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Self::query_node_d2_desc(node, &query_graph.nodes[node], file);
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for edge in query_graph.edges[node].successors.iter() {
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writeln!(file, "{node} -> {edge};\n").unwrap();
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}
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}
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}
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fn proximity_graph_d2_description(graph: &RankingRuleGraph<ProximityGraph>, paths: &PathsMap<u64>, file: &mut File) {
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writeln!(file,"direction: right").unwrap();
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writeln!(file, "Proximity Graph {{").unwrap();
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for (node_idx, node) in graph.query_graph.nodes.iter().enumerate() {
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if matches!(node, QueryNode::Deleted) {
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continue;
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}
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Self::query_node_d2_desc(node_idx, node, file);
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}
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for edge in graph.all_edges.iter().flatten() {
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let Edge { from_node, to_node, cost, details } = edge;
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match &details {
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EdgeDetails::Unconditional => {
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writeln!(file,
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"{from_node} -> {to_node} : \"always cost {cost}\"",
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cost = edge.cost,
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);
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}
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EdgeDetails::Data(details) => {
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writeln!(file,
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"{from_node} -> {to_node} : \"cost {cost} {edge_label}\"",
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cost = edge.cost,
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edge_label = ProximityGraph::graphviz_edge_details_label(details)
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);
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}
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}
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}
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writeln!(file, "}}").unwrap();
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writeln!(file, "Shortest Paths {{").unwrap();
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Self::paths_d2_description(graph, paths, file);
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writeln!(file, "}}").unwrap();
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}
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fn paths_d2_description(graph: &RankingRuleGraph<ProximityGraph>, paths: &PathsMap<u64>, file: &mut File) {
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for (edge_idx, rest) in paths.nodes.iter() {
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let Edge { from_node, to_node, cost, .. } = graph.all_edges[*edge_idx as usize].as_ref().unwrap();
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let from_node = &graph.query_graph.nodes[*from_node as usize];
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let from_node_desc = match from_node {
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QueryNode::Term(term) => match &term.value {
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QueryTerm::Phrase(_) => todo!(),
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QueryTerm::Word { derivations } => derivations.original.clone(),
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},
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QueryNode::Deleted => panic!(),
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QueryNode::Start => "START".to_owned(),
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QueryNode::End => "END".to_owned(),
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};
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let to_node = &graph.query_graph.nodes[*to_node as usize];
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let to_node_desc = match to_node {
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QueryNode::Term(term) => match &term.value {
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QueryTerm::Phrase(_) => todo!(),
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QueryTerm::Word { derivations } => derivations.original.clone(),
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},
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QueryNode::Deleted => panic!(),
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QueryNode::Start => "START".to_owned(),
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QueryNode::End => "END".to_owned(),
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};
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writeln!(file, "{edge_idx}: \"{from_node_desc}->{to_node_desc} [{cost}]\" {{
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shape: class
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}}").unwrap();
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for (dest_edge_idx, _) in rest.nodes.iter() {
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writeln!(file, "{edge_idx} -> {dest_edge_idx}").unwrap();
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}
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Self::paths_d2_description(graph, rest, file);
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}
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}
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}
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@ -1,8 +1,13 @@
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#[cfg(test)]
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pub mod detailed;
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use roaring::RoaringBitmap;
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use super::{query_graph, QueryGraph, RankingRule, RankingRuleQueryTrait};
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use super::{
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query_graph,
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ranking_rule_graph::{paths_map::PathsMap, proximity::ProximityGraph, RankingRuleGraph},
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QueryGraph, RankingRule, RankingRuleQueryTrait,
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};
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pub struct DefaultSearchLogger;
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impl<Q: RankingRuleQueryTrait> SearchLogger<Q> for DefaultSearchLogger {
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@ -39,6 +44,13 @@ impl<Q: RankingRuleQueryTrait> SearchLogger<Q> for DefaultSearchLogger {
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fn add_to_results(&mut self, docids: &RoaringBitmap) {}
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fn log_words_state(&mut self, query_graph: &Q) {}
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fn log_proximity_state(
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&mut self,
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query_graph: &RankingRuleGraph<ProximityGraph>,
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paths_map: &PathsMap<u64>,
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) {
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}
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}
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pub trait SearchLogger<Q: RankingRuleQueryTrait> {
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@ -69,4 +81,10 @@ pub trait SearchLogger<Q: RankingRuleQueryTrait> {
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fn add_to_results(&mut self, docids: &RoaringBitmap);
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fn log_words_state(&mut self, query_graph: &Q);
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fn log_proximity_state(
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&mut self,
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query_graph: &RankingRuleGraph<ProximityGraph>,
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paths: &PathsMap<u64>,
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);
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}
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@ -51,7 +51,7 @@ pub fn word_derivations(
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let mut two_typos = vec![];
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if max_typo == 0 {
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if is_prefix {
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if is_prefix && !use_prefix_db {
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let prefix = Str::new(word).starts_with();
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let mut stream = fst.search(prefix).into_stream();
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@ -11,7 +11,10 @@ use std::ops::ControlFlow;
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use heed::RoTxn;
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use roaring::RoaringBitmap;
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use self::paths_map::PathsMap;
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use super::db_cache::DatabaseCache;
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use super::logger::SearchLogger;
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use super::{QueryGraph, QueryNode};
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use crate::{Index, Result};
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@ -23,10 +26,10 @@ pub enum EdgeDetails<E> {
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#[derive(Debug, Clone)]
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pub struct Edge<E> {
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from_node: u32,
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to_node: u32,
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cost: u8,
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details: EdgeDetails<E>,
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pub from_node: u32,
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pub to_node: u32,
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pub cost: u8,
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pub details: EdgeDetails<E>,
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}
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#[derive(Debug, Clone)]
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@ -35,11 +38,11 @@ pub struct EdgePointer<'graph, E> {
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pub edge: &'graph Edge<E>,
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}
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pub trait RankingRuleGraphTrait {
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pub trait RankingRuleGraphTrait: Sized {
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/// The details of an edge connecting two query nodes. These details
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/// should be sufficient to compute the edge's cost and associated document ids
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/// in [`compute_docids`](RankingRuleGraphTrait).
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type EdgeDetails: Sized;
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type EdgeDetails: Sized + Clone;
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type BuildVisitedFromNode;
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@ -75,6 +78,12 @@ pub trait RankingRuleGraphTrait {
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to_node: &QueryNode,
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from_node_data: &'from_data Self::BuildVisitedFromNode,
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) -> Result<Vec<(u8, EdgeDetails<Self::EdgeDetails>)>>;
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fn log_state(
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graph: &RankingRuleGraph<Self>,
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paths: &PathsMap<u64>,
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logger: &mut dyn SearchLogger<QueryGraph>,
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);
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}
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pub struct RankingRuleGraph<G: RankingRuleGraphTrait> {
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@ -90,6 +99,16 @@ pub struct RankingRuleGraph<G: RankingRuleGraphTrait> {
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// 2. get node_incoming_edges[to]
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// 3. take intersection betweem the two
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}
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impl<G: RankingRuleGraphTrait> Clone for RankingRuleGraph<G> {
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fn clone(&self) -> Self {
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Self {
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query_graph: self.query_graph.clone(),
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all_edges: self.all_edges.clone(),
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node_edges: self.node_edges.clone(),
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successors: self.successors.clone(),
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}
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}
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}
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impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
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// Visit all edges between the two given nodes in order of increasing cost.
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pub fn visit_edges<'graph, O>(
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@ -9,10 +9,10 @@ use super::cheapest_paths::Path;
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use super::{Edge, EdgeDetails, RankingRuleGraph, RankingRuleGraphTrait};
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use crate::new::QueryNode;
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#[derive(Debug)]
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#[derive(Debug, Clone)]
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pub struct PathsMap<V> {
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nodes: Vec<(u32, PathsMap<V>)>,
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value: Option<V>,
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pub nodes: Vec<(u32, PathsMap<V>)>,
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pub value: Option<V>,
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}
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impl<V> Default for PathsMap<V> {
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fn default() -> Self {
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@ -3,6 +3,7 @@ pub mod compute_docids;
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use heed::RoTxn;
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use super::paths_map::PathsMap;
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use super::{Edge, EdgeDetails, RankingRuleGraphTrait};
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use crate::new::db_cache::DatabaseCache;
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use crate::new::query_term::WordDerivations;
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@ -18,6 +19,7 @@ pub enum WordPair {
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WordPrefixSwapped { left: String, right_prefix: String },
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}
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#[derive(Clone)]
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pub struct ProximityEdge {
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pairs: Vec<WordPair>,
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proximity: u8,
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@ -61,4 +63,12 @@ impl RankingRuleGraphTrait for ProximityGraph {
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) -> Result<Vec<(u8, EdgeDetails<Self::EdgeDetails>)>> {
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build::visit_to_node(index, txn, db_cache, to_node, from_node_data)
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}
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fn log_state(
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graph: &super::RankingRuleGraph<Self>,
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paths: &PathsMap<u64>,
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logger: &mut dyn crate::new::logger::SearchLogger<crate::new::QueryGraph>,
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) {
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logger.log_proximity_state(graph, paths);
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}
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}
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@ -270,8 +270,7 @@ mod tests {
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let mut db_cache = DatabaseCache::default();
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let query_graph =
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make_query_graph(&index, &txn, &mut db_cache, "the quick brown fox jumps over")
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.unwrap();
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make_query_graph(&index, &txn, &mut db_cache, "b b b b b b b b b b").unwrap();
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println!("{}", query_graph.graphviz());
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logger.initial_query(&query_graph);
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@ -314,8 +313,7 @@ mod tests {
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let mut db_cache = DatabaseCache::default();
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let query_graph =
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make_query_graph(&index, &txn, &mut db_cache, "released from prison by the government")
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.unwrap();
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make_query_graph(&index, &txn, &mut db_cache, "b b b b b b b b b b").unwrap();
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// TODO: filters + maybe distinct attributes?
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let universe = get_start_universe(
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@ -335,7 +333,7 @@ mod tests {
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&mut db_cache,
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&universe,
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&query_graph,
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&mut logger, /* 0, 20 */
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&mut logger, //&mut DefaultSearchLogger, /* 0, 20 */
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)
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.unwrap();
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@ -47,8 +47,6 @@ impl<'transaction> RankingRule<'transaction, QueryGraph> for Words {
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self.exhausted = false;
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self.query_graph = Some(parent_query_graph.clone());
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logger.log_words_state(parent_query_graph);
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// TODO: a phrase can contain many positions, but represents a single node.
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// That's a problem.
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let positions_to_remove = match self.terms_matching_strategy {
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@ -83,11 +81,14 @@ impl<'transaction> RankingRule<'transaction, QueryGraph> for Words {
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// println!("Words: next bucket");
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assert!(self.iterating);
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assert!(universe.len() > 1);
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if self.exhausted {
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return Ok(None);
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}
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let Some(query_graph) = &mut self.query_graph else { panic!() };
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logger.log_words_state(query_graph);
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let this_bucket = resolve_query_graph(
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index,
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txn,
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@ -107,7 +108,6 @@ impl<'transaction> RankingRule<'transaction, QueryGraph> for Words {
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let position_to_remove = self.positions_to_remove.pop().unwrap();
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query_graph.remove_words_at_position(position_to_remove);
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}
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logger.log_words_state(query_graph);
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Ok(Some(RankingRuleOutput { query: child_query_graph, candidates: this_bucket }))
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}
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