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https://github.com/meilisearch/MeiliSearch
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Build ranking rule graph correctly after changes to trait definition
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@ -1,20 +1,18 @@
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use std::collections::HashSet;
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use super::{Edge, RankingRuleGraph, RankingRuleGraphTrait};
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use crate::search::new::interner::DedupInterner;
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use crate::search::new::interner::{DedupInterner, MappedInterner};
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use crate::search::new::query_graph::{QueryNode, QueryNodeData};
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use crate::search::new::small_bitmap::SmallBitmap;
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use crate::search::new::{QueryGraph, SearchContext};
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use crate::Result;
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use std::collections::HashSet;
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impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
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// TODO: here, the docids of all the edges should already be computed!
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// an edge condition would then be reduced to a (ptr to) a roaring bitmap?
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// we could build fewer of them by directly comparing them with the universe
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// (e.g. for each word pairs?) with `deserialize_within_universe` maybe
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//
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/// Build the ranking rule graph from the given query graph
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pub fn build(ctx: &mut SearchContext, query_graph: QueryGraph) -> Result<Self> {
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pub fn build(
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ctx: &mut SearchContext,
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query_graph: QueryGraph,
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cost_of_ignoring_node: MappedInterner<QueryNode, Option<(u32, SmallBitmap<QueryNode>)>>,
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) -> Result<Self> {
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let QueryGraph { nodes: graph_nodes, .. } = &query_graph;
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let mut conditions_interner = DedupInterner::default();
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@ -26,8 +24,41 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
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let new_edges = edges_of_node.get_mut(source_id);
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for dest_idx in source_node.successors.iter() {
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let src_term = match &source_node.data {
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QueryNodeData::Term(t) => Some(t),
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QueryNodeData::Start => None,
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QueryNodeData::Deleted | QueryNodeData::End => panic!(),
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};
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let dest_node = graph_nodes.get(dest_idx);
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let edges = G::build_edges(ctx, &mut conditions_interner, source_node, dest_node)?;
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let dest_term = match &dest_node.data {
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QueryNodeData::Term(t) => t,
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QueryNodeData::End => {
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let new_edge_id = edges_store.insert(Some(Edge {
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source_node: source_id,
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dest_node: dest_idx,
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cost: 0,
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condition: None,
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nodes_to_skip: SmallBitmap::for_interned_values_in(graph_nodes),
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}));
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new_edges.insert(new_edge_id);
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continue;
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}
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QueryNodeData::Deleted | QueryNodeData::Start => panic!(),
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};
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if let Some((cost_of_ignoring, forbidden_nodes)) =
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cost_of_ignoring_node.get(dest_idx)
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{
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let new_edge_id = edges_store.insert(Some(Edge {
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source_node: source_id,
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dest_node: dest_idx,
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cost: *cost_of_ignoring,
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condition: None,
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nodes_to_skip: forbidden_nodes.clone(),
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}));
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new_edges.insert(new_edge_id);
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}
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let edges = G::build_edges(ctx, &mut conditions_interner, src_term, dest_term)?;
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if edges.is_empty() {
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continue;
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}
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@ -37,7 +68,8 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
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source_node: source_id,
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dest_node: dest_idx,
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cost,
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condition,
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condition: Some(condition),
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nodes_to_skip: SmallBitmap::for_interned_values_in(graph_nodes),
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}));
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new_edges.insert(new_edge_id);
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}
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@ -47,11 +79,8 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
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let edges_of_node =
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edges_of_node.map(|edges| SmallBitmap::from_iter(edges.iter().copied(), &edges_store));
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Ok(RankingRuleGraph {
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query_graph,
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edges_store,
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edges_of_node,
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conditions_interner: conditions_interner.freeze(),
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})
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let conditions_interner = conditions_interner.freeze();
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Ok(RankingRuleGraph { query_graph, edges_store, edges_of_node, conditions_interner })
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}
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}
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