docs: update README with accurate features and add roadmap
Remove NFP pair fitting claim from features (not yet integrated). Qualify lead-in/lead-out as engine-only (UI coming soon). Mark --autonest CLI option as experimental. Add Roadmap section with planned work: NFP nesting, lead-in UI, sheet cut-offs, post-processors, and shape library UI. Add documentation maintenance instruction to CLAUDE.md requiring README.md and CLAUDE.md updates when project structure changes. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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using System.Collections.Generic;
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using System.Diagnostics;
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using System.Linq;
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using OpenNest.Engine.ML;
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using OpenNest.Geometry;
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using OpenNest.Math;
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namespace OpenNest
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{
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/// <summary>
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/// Builds candidate rotation angles for single-item fill. Encapsulates the
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/// full pipeline: base angles, narrow-area sweep, ML prediction, and
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/// known-good pruning across fills.
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/// </summary>
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public class AngleCandidateBuilder
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{
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private readonly HashSet<double> knownGoodAngles = new();
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public bool ForceFullSweep { get; set; }
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public List<double> Build(NestItem item, double bestRotation, Box workArea)
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{
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var angles = new List<double> { bestRotation, bestRotation + Angle.HalfPI };
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var testPart = new Part(item.Drawing);
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if (!bestRotation.IsEqualTo(0))
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testPart.Rotate(bestRotation);
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testPart.UpdateBounds();
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var partLongestSide = System.Math.Max(testPart.BoundingBox.Width, testPart.BoundingBox.Length);
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var workAreaShortSide = System.Math.Min(workArea.Width, workArea.Length);
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var needsSweep = workAreaShortSide < partLongestSide || ForceFullSweep;
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if (needsSweep)
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{
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var step = Angle.ToRadians(5);
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for (var a = 0.0; a < System.Math.PI; a += step)
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{
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if (!angles.Any(existing => existing.IsEqualTo(a)))
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angles.Add(a);
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}
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}
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if (!ForceFullSweep && angles.Count > 2)
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{
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var features = FeatureExtractor.Extract(item.Drawing);
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if (features != null)
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{
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var predicted = AnglePredictor.PredictAngles(
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features, workArea.Width, workArea.Length);
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if (predicted != null)
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{
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var mlAngles = new List<double>(predicted);
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if (!mlAngles.Any(a => a.IsEqualTo(bestRotation)))
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mlAngles.Add(bestRotation);
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if (!mlAngles.Any(a => a.IsEqualTo(bestRotation + Angle.HalfPI)))
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mlAngles.Add(bestRotation + Angle.HalfPI);
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Debug.WriteLine($"[AngleCandidateBuilder] ML: {angles.Count} angles -> {mlAngles.Count} predicted");
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angles = mlAngles;
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}
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}
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}
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if (knownGoodAngles.Count > 0 && !ForceFullSweep)
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{
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var pruned = new List<double> { bestRotation, bestRotation + Angle.HalfPI };
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foreach (var a in knownGoodAngles)
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{
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if (!pruned.Any(existing => existing.IsEqualTo(a)))
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pruned.Add(a);
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}
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Debug.WriteLine($"[AngleCandidateBuilder] Pruned: {angles.Count} -> {pruned.Count} angles (known-good)");
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return pruned;
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}
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return angles;
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}
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/// <summary>
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/// Records angles that produced results. These are used to prune
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/// subsequent Build() calls.
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/// </summary>
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public void RecordProductive(List<AngleResult> angleResults)
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{
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foreach (var ar in angleResults)
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{
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if (ar.PartCount > 0)
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knownGoodAngles.Add(Angle.ToRadians(ar.AngleDeg));
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}
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}
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}
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}
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