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feat(cutting): cap feasible entries with side fallback coverage
ContourEntrySelection: lazy bounded selection over one contour's ranked candidates. Greedy global rank order until the cap (default 16) fills or the finite catalogue ends; blocked and incomplete candidates never consume a slot, and once selection settles the untouched tail is never evaluated (EvaluatedCount/EvaluatedKeys pin the counts, not timings). At caps of 4+ a corrective scan represents every side of the candidate bounding rectangle that HAS a feasible candidate — lazily chasing each missing side and replacing the worst selected candidate only when every other covered side survives; one corner may cover two sides. The cap is never exceeded and points are never manufactured on infeasible sides; caps 1-3 obey cap+ranking first, as promised. Verdicts memoize per attempt; duplicate geometric points never take two slots. Honest metadata: Choices/EvaluatedCount/Shortfall/Reason with None, Exhausted and Incomplete kept distinct — 'no tested lead-in fits' is producible only from a fully evaluated Exhausted catalogue; incomplete checks and cancellation are never presented as geometric impossibility. Sides are exactly the ranker's bounding-rectangle geometry. No search changes and no larger search budget.
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using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Threading;
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using OpenNest.CNC.CuttingPlanning;
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using OpenNest.Diagnostics;
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using OpenNest.Geometry;
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namespace OpenNest.Engine.CuttingPlanning;
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/// <summary>Why a selection ended the way it did. Honest metadata, never a geometric overclaim.</summary>
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internal enum ContourSelectionShortfall
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{
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/// <summary>Selection ended at the cap with the side scan satisfied: a complete verdict.</summary>
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None,
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/// <summary>
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/// The finite catalogue was fully evaluated and the selection is all there is. With an
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/// empty selection this is exactly the sentence "no tested lead-in fits on part N,
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/// contour M" — and ONLY here may that sentence be spoken.
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/// </summary>
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Exhausted,
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/// <summary>
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/// At least one check could not complete (incomplete material or emission). Never
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/// present this as geometric impossibility and never as "nothing fits".
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/// </summary>
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Incomplete,
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}
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/// <summary>
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/// Outcome of one bounded selection: selected choices in global rank order, how many
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/// distinct candidates were evaluated, which ones (in catalogue order, for cost tests), and
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/// why the selection stopped.
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/// </summary>
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internal sealed record ContourSelectionResult(
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IReadOnlyList<ContourChoice> Choices,
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int EvaluatedCount,
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IReadOnlyList<(long, long)> EvaluatedKeys,
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ContourSelectionShortfall Shortfall,
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string? Reason);
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/// <summary>
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/// Bounded, lazy selection of lead-feasible entry candidates for ONE contour. Greedy global
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/// rank order until the cap (default 16) fills or the finite catalogue ends — rejected and
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/// incomplete candidates never consume a slot. When the cap can afford it (5+), one
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/// corrective scan makes sure every side of the candidate bounding rectangle that HAS a
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/// feasible candidate is represented, replacing the worst selected candidate only when
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/// every other covered side survives; one corner may cover two sides. The cap is never
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/// exceeded and points are never manufactured on infeasible sides — a capped selection may
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/// truthfully omit a feasible side. Sides are exactly the ranker's side geometry (the
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/// candidate-set bounding rectangle). Verdicts are memoized per attempt (the adapter
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/// memoizes too): no candidate is ever evaluated twice, and once selection settles the
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/// untouched tail is never evaluated. No search/DFS changes and no larger search budget.
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/// </summary>
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internal static class ContourEntrySelection
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{
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internal const int DefaultMaxEntries = 16;
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/// <summary>Below this cap all-side coverage is not promised; the cap and ranking bind first (caps 1-3).</summary>
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internal const int SideCoverageMinCap = 4;
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/// <summary>
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/// Selects up to <paramref name="maxEntries"/> feasible choices from one contour's
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/// globally ranked catalogue. <paramref name="evaluate"/> is the S07 adapter verdict,
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/// called lazily at most once per distinct candidate.
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/// </summary>
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internal static ContourSelectionResult Select(
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IReadOnlyList<ContourEntryCandidate> rankedCandidates,
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Func<ContourEntryCandidate, ContourFeasibilityVerdict> evaluate,
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int maxEntries = DefaultMaxEntries,
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CancellationToken token = default)
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{
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token.ThrowIfCancellationRequested();
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if (rankedCandidates == null)
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throw new ArgumentException("Ranked candidates are required.", nameof(rankedCandidates));
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if (evaluate == null)
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throw new ArgumentException("A feasibility evaluation is required.", nameof(evaluate));
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if (maxEntries <= 0)
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throw new ArgumentException("The cap must be positive.", nameof(maxEntries));
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// Distinct points only — the cap must not double-count a geometric duplicate.
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var candidates = new List<ContourEntryCandidate>();
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var seen = new HashSet<(long, long)>();
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foreach (var candidate in rankedCandidates)
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if (seen.Add(candidate.GeometryKey))
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candidates.Add(candidate);
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var evaluated = new List<ContourEntryCandidate>();
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var verdicts = new Dictionary<(long, long), ContourFeasibilityVerdict>();
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var box = Box(candidates);
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var selected = new List<ContourEntryCandidate>();
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var sawIncomplete = false;
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var index = 0;
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ContourFeasibilityVerdict Verdict(ContourEntryCandidate candidate)
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{
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if (!verdicts.TryGetValue(candidate.GeometryKey, out var known))
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{
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token.ThrowIfCancellationRequested();
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known = evaluate(candidate);
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verdicts[candidate.GeometryKey] = known;
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evaluated.Add(candidate);
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}
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return known;
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}
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// Phase 1: greedy global order until the cap fills or the catalogue ends.
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for (; index < candidates.Count && selected.Count < maxEntries; index++)
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{
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var verdict = Verdict(candidates[index]);
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if (verdict.Status == ContourFeasibilityStatus.Incomplete)
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{
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sawIncomplete = true;
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break;
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}
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if (verdict.IsClear)
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selected.Add(candidates[index]);
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}
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// Phase 2: side coverage when the cap affords it. Every missing side with an
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// unexamined tail is chased lazily; a clear candidate on that side is appended when
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// a slot remains, otherwise it replaces the worst selected candidate whose removal
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// keeps every other covered side covered.
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var coverage = maxEntries >= SideCoverageMinCap && selected.Count > 0;
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if (coverage && !sawIncomplete)
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for (var side = 0; side < 4 && !sawIncomplete; side++)
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{
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if (selected.Any(c => Sides(c, box).Contains(side)))
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continue;
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for (; index < candidates.Count; index++)
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{
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var verdict = Verdict(candidates[index]);
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if (verdict.Status == ContourFeasibilityStatus.Incomplete)
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{
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sawIncomplete = true;
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break;
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}
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if (!verdict.IsClear || !Sides(candidates[index], box).Contains(side))
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continue;
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TryPlace(selected, candidates[index], box, maxEntries);
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break;
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}
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}
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var exhausted = index >= candidates.Count;
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ContourSelectionShortfall shortfall;
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string? reason;
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if (sawIncomplete)
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{
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shortfall = ContourSelectionShortfall.Incomplete;
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reason = "At least one lead check could not complete; this is not a geometric verdict and nothing is proven impossible.";
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}
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else if (selected.Count >= maxEntries)
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{
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shortfall = ContourSelectionShortfall.None;
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reason = null;
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}
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else if (exhausted)
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{
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shortfall = ContourSelectionShortfall.Exhausted;
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reason = selected.Count == 0
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? "No tested lead-in fits on this contour."
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: null;
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}
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else
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{
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// Unreachable: phase 1 ends at cap or catalogue end and phase 2 chases every
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// side to the end; a cancellation throws before this point.
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shortfall = ContourSelectionShortfall.Incomplete;
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reason = "Selection stopped before the catalogue ended.";
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}
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var ordered = selected
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.OrderBy(c => evaluated.FindIndex(x => x.GeometryKey == c.GeometryKey) is var e && e >= 0
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? e : candidates.FindIndex(x => x.GeometryKey == c.GeometryKey))
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.Select(c => c.Choice)
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.ToList();
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return new(ordered, evaluated.Count,
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evaluated.Select(c => c.GeometryKey).ToList(), shortfall, reason);
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}
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private static (double MinX, double MinY, double MaxX, double MaxY) Box(
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List<ContourEntryCandidate> candidates)
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{
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double minX = double.PositiveInfinity, minY = double.PositiveInfinity,
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maxX = double.NegativeInfinity, maxY = double.NegativeInfinity;
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foreach (var c in candidates)
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{
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var p = c.Choice.Point;
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if (p.X < minX) minX = p.X;
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if (p.X > maxX) maxX = p.X;
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if (p.Y < minY) minY = p.Y;
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if (p.Y > maxY) maxY = p.Y;
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}
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if (!double.IsFinite(minX))
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return (0, 0, 0, 0);
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return (minX, minY, maxX, maxY);
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}
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/// <summary>Sides 0 left, 1 right, 2 bottom, 3 top of the candidate bounding rectangle that the point sits on.</summary>
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private static List<int> Sides(ContourEntryCandidate candidate,
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(double MinX, double MinY, double MaxX, double MaxY) box)
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{
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var p = candidate.Choice.Point;
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var left = p.X - box.MinX;
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var right = box.MaxX - p.X;
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var bottom = p.Y - box.MinY;
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var top = box.MaxY - p.Y;
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var min = System.Math.Min(System.Math.Min(left, right), System.Math.Min(bottom, top));
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var sides = new List<int>(2);
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if (left <= min + PostVerificationGeometry.Epsilon) sides.Add(0);
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if (right <= min + PostVerificationGeometry.Epsilon) sides.Add(1);
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if (bottom <= min + PostVerificationGeometry.Epsilon) sides.Add(2);
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if (top <= min + PostVerificationGeometry.Epsilon) sides.Add(3);
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return sides;
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}
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/// <summary>Appends when a slot remains, else replaces the worst (latest-ranked) candidate whose removal preserves every other covered side.</summary>
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private static void TryPlace(List<ContourEntryCandidate> selected, ContourEntryCandidate candidate,
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(double MinX, double MinY, double MaxX, double MaxY) box, int maxEntries)
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{
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if (selected.Count < maxEntries)
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{
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selected.Add(candidate);
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return;
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}
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var incoming = Sides(candidate, box);
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for (var i = selected.Count - 1; i >= 0; i--)
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{
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var removalSafe = true;
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for (var side = 0; side < 4 && removalSafe; side++)
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{
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if (incoming.Contains(side))
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continue; // the replacement covers it
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var covers = selected.Where((c, at) => at != i && Sides(c, box).Contains(side)).Any();
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var wasCovered = selected.Any(c => Sides(c, box).Contains(side));
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if (wasCovered && !covers)
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removalSafe = false;
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}
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if (removalSafe)
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{
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selected[i] = candidate;
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return;
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}
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}
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// No safe victim: the side stays truthfully unrepresented at this cap.
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}
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}
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