2023-02-21 09:46:00 +01:00
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pub mod build;
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pub mod cheapest_paths;
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pub mod edge_docids_cache;
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pub mod empty_paths_cache;
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pub mod paths_map;
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pub mod proximity;
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pub mod resolve_paths;
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use std::collections::{BTreeSet, HashSet};
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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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#[derive(Debug, Clone)]
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pub enum EdgeDetails<E> {
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Unconditional,
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Data(E),
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}
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#[derive(Debug, Clone)]
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pub struct Edge<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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pub struct EdgePointer<'graph, E> {
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pub index: u32,
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pub edge: &'graph Edge<E>,
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}
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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 + Clone;
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type BuildVisitedFromNode;
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/// Return the label of the given edge details, to be used when visualising
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/// the ranking rule graph using GraphViz.
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fn graphviz_edge_details_label(edge: &Self::EdgeDetails) -> String;
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/// Compute the document ids associated with the given edge.
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fn compute_docids<'transaction>(
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index: &Index,
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txn: &'transaction RoTxn,
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db_cache: &mut DatabaseCache<'transaction>,
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edge_details: &Self::EdgeDetails,
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) -> Result<RoaringBitmap>;
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/// Prepare to build the edges outgoing from `from_node`.
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///
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/// This call is followed by zero, one or more calls to [`build_visit_to_node`](RankingRuleGraphTrait::build_visit_to_node),
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/// which builds the actual edges.
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fn build_visit_from_node<'transaction>(
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index: &Index,
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txn: &'transaction RoTxn,
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db_cache: &mut DatabaseCache<'transaction>,
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from_node: &QueryNode,
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) -> Result<Option<Self::BuildVisitedFromNode>>;
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/// Return the cost and details of the edges going from the previously visited node
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/// (with [`build_visit_from_node`](RankingRuleGraphTrait::build_visit_from_node)) to `to_node`.
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fn build_visit_to_node<'from_data, 'transaction: 'from_data>(
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index: &Index,
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txn: &'transaction RoTxn,
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db_cache: &mut DatabaseCache<'transaction>,
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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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pub query_graph: QueryGraph,
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// pub edges: Vec<HashMap<usize, Vec<Edge<G::EdgeDetails>>>>,
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pub all_edges: Vec<Option<Edge<G::EdgeDetails>>>,
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pub node_edges: Vec<RoaringBitmap>,
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pub successors: Vec<RoaringBitmap>,
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// TODO: to get the edges between two nodes:
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// 1. get node_outgoing_edges[from]
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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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&'graph self,
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from: u32,
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to: u32,
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mut visit: impl FnMut(u32, &'graph Edge<G::EdgeDetails>) -> ControlFlow<O>,
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) -> Option<O> {
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let from_edges = &self.node_edges[from as usize];
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for edge_idx in from_edges {
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let edge = self.all_edges[edge_idx as usize].as_ref().unwrap();
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if edge.to_node == to {
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let cf = visit(edge_idx, edge);
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match cf {
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ControlFlow::Continue(_) => continue,
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ControlFlow::Break(o) => return Some(o),
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}
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}
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}
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None
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}
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fn remove_edge(&mut self, edge_index: u32) {
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let edge_opt = &mut self.all_edges[edge_index as usize];
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let Some(edge) = &edge_opt else { return };
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let (from_node, to_node) = (edge.from_node, edge.to_node);
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*edge_opt = None;
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let from_node_edges = &mut self.node_edges[from_node as usize];
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from_node_edges.remove(edge_index);
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let mut new_successors_from_node = RoaringBitmap::new();
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for from_node_edge in from_node_edges.iter() {
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let Edge { to_node, .. } = &self.all_edges[from_node_edge as usize].as_ref().unwrap();
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new_successors_from_node.insert(*to_node);
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}
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self.successors[from_node as usize] = new_successors_from_node;
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}
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pub fn graphviz(&self) -> String {
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let mut desc = String::new();
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desc.push_str("digraph G {\nrankdir = LR;\nnode [shape = \"record\"]\n");
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for (node_idx, node) in self.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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desc.push_str(&format!("{node_idx} [label = {:?}]", node));
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if node_idx == self.query_graph.root_node as usize {
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desc.push_str("[color = blue]");
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} else if node_idx == self.query_graph.end_node as usize {
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desc.push_str("[color = red]");
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}
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desc.push_str(";\n");
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}
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for edge in self.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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desc.push_str(&format!(
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"{from_node} -> {to_node} [label = \"always cost {cost}\"];\n",
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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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desc.push_str(&format!(
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"{from_node} -> {to_node} [label = \"cost {cost} {edge_label}\"];\n",
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cost = edge.cost,
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edge_label = G::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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desc.push('}');
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desc
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}
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}
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