mirror of https://codeberg.org/topola/topola.git
refactor(router/astar): Rewrite A* like a more typical state machine
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@ -3,7 +3,8 @@
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//
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// SPDX-License-Identifier: MIT
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use std::collections::{btree_map::Entry, BTreeMap, BinaryHeap, VecDeque};
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use std::collections::btree_map::Entry;
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use std::collections::{BTreeMap, BinaryHeap, VecDeque};
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use std::ops::ControlFlow;
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@ -123,6 +124,15 @@ pub trait MakeEdgeRef: IntoEdgeReferences {
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fn edge_ref(&self, edge_id: Self::EdgeId) -> Self::EdgeRef;
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}
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enum AstarState<G>
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where
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G: GraphBase,
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{
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Scanning,
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Visiting(G::NodeId),
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Probing(G::NodeId, G::EdgeId),
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}
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#[derive(Getters)]
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pub struct AstarStepper<G, K>
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where
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@ -131,6 +141,7 @@ where
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for<'a> &'a G: IntoEdges<NodeId = G::NodeId, EdgeId = G::EdgeId> + MakeEdgeRef,
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K: Measure + Copy,
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{
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state: AstarState<G>,
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graph: G,
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#[getter(skip)]
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visit_next: BinaryHeap<MinScored<K, G::NodeId>>,
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@ -140,14 +151,9 @@ where
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estimate_scores: BTreeMap<G::NodeId, K>,
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#[getter(skip)]
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path_tracker: PathTracker<G>,
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#[getter(skip)]
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maybe_curr_node: Option<G::NodeId>,
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// FIXME: To work around edge references borrowing from the graph we collect then reiterate over them.
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#[getter(skip)]
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edge_ids: VecDeque<G::EdgeId>,
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// TODO: Rewrite this to be a well-designed state machine. Booleans are a code smell.
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#[getter(skip)]
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is_probing: bool,
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}
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/// The status enum of the A* stepper returned when there is no failure or
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@ -159,6 +165,21 @@ where
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/// `VisitSkipped` and `Visited`, would correspond to the same state.
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#[derive(Debug)]
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pub enum AstarContinueStatus {
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/// A* has now attempted to visit a new navnode, but it turned out that
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/// it has been previously reached through a path with an equal or lower
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/// estimated score, so the visit to that navnode has been skipped.
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ScanningVisitSkipped,
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/// A* has failed to visit a new navnode. Happens, so A* will just proceed
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/// to the next node in the priority queue.
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ScanningVisitFailed,
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/// A* is now visiting a new navnode.
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///
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/// Quick recap if you have been trying to remember what is the difference
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/// between probing and visiting: probing is done as part of a scan of
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/// neighboring navnodes around the currently visited navnode to add them to
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/// the priority queue, whereas when a navnode is visited it is taken from
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/// the priority queue to actually become the currently visited navnode.
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Visiting,
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/// A* has now placed a probe to measure the cost of the edge to a
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/// neighboring navnode from the current position. The probed navnode has
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/// been added to the priority queue, and the newly measured edge cost has
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@ -177,21 +198,6 @@ pub enum AstarContinueStatus {
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/// to pause the A* while the placed probe exists, which is very useful
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/// for debugging.
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Probed,
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/// A* has now attempted to visit a new navnode, but it turned out that
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/// it has been previously reached through a path with an equal or lower
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/// estimated score, so the visit to that navnode has been skipped.
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VisitSkipped,
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/// A* has failed to visit a new navnode. Happens, so A* will just proceed
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/// to the next node in the priority queue.
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VisitFailed,
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/// A* has now visited a new navnode.
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///
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/// Quick recap if you have been trying to remember what is the difference
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/// between probing and visiting: probing is done as part of a scan of
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/// neighboring navnodes around the currently visited navnode to add them to
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/// the priority queue, whereas when a navnode is visited it is taken from
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/// the priority queue to actually become the currently visited navnode.
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Visited,
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}
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#[derive(Error, Debug, Clone)]
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@ -209,14 +215,13 @@ where
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{
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pub fn new<R>(graph: G, start: G::NodeId, strategy: &mut impl AstarStrategy<G, K, R>) -> Self {
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let mut this = Self {
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state: AstarState::Scanning,
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graph,
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visit_next: BinaryHeap::new(),
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scores: BTreeMap::new(),
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estimate_scores: BTreeMap::new(),
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path_tracker: PathTracker::<G>::new(),
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maybe_curr_node: None,
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edge_ids: VecDeque::new(),
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is_probing: false,
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};
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let zero_score = K::default();
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@ -241,20 +246,58 @@ where
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&mut self,
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strategy: &mut S,
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) -> Result<ControlFlow<(K, Vec<G::NodeId>, R), AstarContinueStatus>, AstarError> {
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if let Some(curr_node) = self.maybe_curr_node {
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if self.is_probing {
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strategy.remove_probe(&self.graph);
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self.is_probing = false;
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match self.state {
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AstarState::Scanning => {
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let Some(MinScored(estimate_score, node)) = self.visit_next.pop() else {
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return Err(AstarError::NotFound);
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};
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let Ok(maybe_result) =
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strategy.visit_navnode(&self.graph, node, &self.path_tracker)
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else {
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return Ok(ControlFlow::Continue(
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AstarContinueStatus::ScanningVisitFailed,
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));
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};
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if let Some(result) = maybe_result {
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let path = self.path_tracker.reconstruct_path_to(node);
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let cost = self.scores[&node];
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return Ok(ControlFlow::Break((cost, path, result)));
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}
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if let Some(edge_id) = self.edge_ids.pop_front() {
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match self.estimate_scores.entry(node) {
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Entry::Occupied(mut entry) => {
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// If the node has already been visited with an equal or lower
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// estimated score than now, then we do not need to re-visit it.
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if *entry.get() <= estimate_score {
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return Ok(ControlFlow::Continue(
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AstarContinueStatus::ScanningVisitSkipped,
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));
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}
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entry.insert(estimate_score);
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}
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Entry::Vacant(entry) => {
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entry.insert(estimate_score);
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}
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}
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self.edge_ids = self.graph.edges(node).map(|edge| edge.id()).collect();
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self.state = AstarState::Visiting(node);
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Ok(ControlFlow::Continue(AstarContinueStatus::Visiting))
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}
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AstarState::Visiting(curr_visited_navnode) => {
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if let Some(curr_probed_navedge) = self.edge_ids.pop_front() {
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// This lookup can be unwrapped without fear of panic since the node was
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// necessarily scored before adding it to `.visit_next`.
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let node_score = self.scores[&curr_node];
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let edge = (&self.graph).edge_ref(edge_id);
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let node_score = self.scores[&curr_visited_navnode];
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let curr_probed_navedge_ref = (&self.graph).edge_ref(curr_probed_navedge);
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if let Some(edge_cost) = strategy.place_probe_at_navedge(&self.graph, edge) {
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let next = edge.target();
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if let Some(edge_cost) =
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strategy.place_probe_at_navedge(&self.graph, curr_probed_navedge_ref)
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{
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let next = curr_probed_navedge_ref.target();
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let next_score = node_score + edge_cost;
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match self.scores.entry(next) {
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@ -273,52 +316,28 @@ where
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}
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}
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self.path_tracker.set_predecessor(next, curr_node);
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self.path_tracker
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.set_predecessor(next, curr_visited_navnode);
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let next_estimate_score =
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next_score + strategy.estimate_cost(&self.graph, next);
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self.visit_next.push(MinScored(next_estimate_score, next));
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self.is_probing = true;
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return Ok(ControlFlow::Continue(AstarContinueStatus::Probing));
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self.state = AstarState::Probing(curr_visited_navnode, curr_probed_navedge);
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Ok(ControlFlow::Continue(AstarContinueStatus::Probing))
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} else {
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Ok(ControlFlow::Continue(AstarContinueStatus::Probed))
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}
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} else {
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self.state = AstarState::Scanning;
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Ok(ControlFlow::Continue(AstarContinueStatus::Probed))
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}
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}
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AstarState::Probing(curr_visited_navnode, _curr_probed_navedge) => {
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strategy.remove_probe(&self.graph);
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return Ok(ControlFlow::Continue(AstarContinueStatus::Probed));
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}
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self.maybe_curr_node = None;
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}
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let Some(MinScored(estimate_score, node)) = self.visit_next.pop() else {
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return Err(AstarError::NotFound);
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};
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let Ok(maybe_result) = strategy.visit_navnode(&self.graph, node, &self.path_tracker) else {
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return Ok(ControlFlow::Continue(AstarContinueStatus::VisitFailed));
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};
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if let Some(result) = maybe_result {
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let path = self.path_tracker.reconstruct_path_to(node);
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let cost = self.scores[&node];
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return Ok(ControlFlow::Break((cost, path, result)));
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}
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match self.estimate_scores.entry(node) {
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Entry::Occupied(mut entry) => {
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// If the node has already been visited with an equal or lower
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// estimated score than now, then we do not need to re-visit it.
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if *entry.get() <= estimate_score {
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return Ok(ControlFlow::Continue(AstarContinueStatus::VisitSkipped));
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}
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entry.insert(estimate_score);
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}
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Entry::Vacant(entry) => {
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entry.insert(estimate_score);
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self.state = AstarState::Visiting(curr_visited_navnode);
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Ok(ControlFlow::Continue(AstarContinueStatus::Probed))
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}
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}
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self.maybe_curr_node = Some(node);
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self.edge_ids = self.graph.edges(node).map(|edge| edge.id()).collect();
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Ok(ControlFlow::Continue(AstarContinueStatus::Visited))
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}
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}
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