- PedigreeCalculator: pure, EF-free Wright path-method engine (recursive F_A,
per-common-ancestor contributions, generationsAvailable, cycle guards)
- InbreedingService: loads pedigree from ApplicationContext shadow FKs
(Gerbils.LitterId, Litters.FatherId/MotherId) into in-memory maps
- InbreedingController: GET /gerbils/{id}/inbreeding-coefficient,
POST /genetics/test-inbreeding (hypothetical pairing for Probeverpaarung)
- Injects ApplicationContext directly; no Program.cs change (Dwight owns it)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
220 lines
8.1 KiB
C#
220 lines
8.1 KiB
C#
namespace GerbilManagerWebAPI.Genetics
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{
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/// <summary>
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/// Computes the inbreeding coefficient (Inzuchtkoeffizient) using Wright's path
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/// method:
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///
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/// F = Σ over common ancestors, over every valid path, of
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/// (1/2)^(n1 + n2 + 1) * (1 + F_A)
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///
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/// where, for a given common ancestor A, n1 is the number of links from the sire
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/// up to A and n2 the number of links from the dam up to A, and F_A is A's own
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/// inbreeding coefficient (computed recursively at full available pedigree depth).
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/// A path counts only if the sire-side and dam-side chains share no individual
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/// other than A — this is what prevents double counting.
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///
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/// This type is deliberately free of any database / EF dependency: it works purely
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/// from a parent lookup, so it can be unit-tested with hand-built pedigrees.
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/// </summary>
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public sealed class PedigreeCalculator
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{
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private readonly IReadOnlyDictionary<Guid, (Guid? Father, Guid? Mother)> _parents;
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private readonly IReadOnlyDictionary<Guid, string> _names;
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// F_A memo + re-entrancy guard (the latter only matters if the data somehow
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// contains a cycle, which is biologically impossible but cheap to defend).
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private readonly Dictionary<Guid, double> _fCache = new();
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private readonly HashSet<Guid> _fInProgress = new();
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private readonly Dictionary<Guid, int> _depthCache = new();
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public PedigreeCalculator(
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IReadOnlyDictionary<Guid, (Guid? Father, Guid? Mother)> parents,
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IReadOnlyDictionary<Guid, string> names)
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{
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_parents = parents;
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_names = names;
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}
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/// <summary>True if the given individual exists in the pedigree.</summary>
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public bool Contains(Guid id) => _parents.ContainsKey(id);
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/// <summary>Inbreeding coefficient of an existing individual.</summary>
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public InbreedingResult ForIndividual(Guid id)
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{
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var (father, mother) = ParentsOf(id);
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return ForOffspringOf(father, mother);
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}
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/// <summary>
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/// Inbreeding coefficient of the (possibly hypothetical) offspring of the given
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/// sire and dam — equivalently, the kinship between the two parents.
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/// </summary>
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public InbreedingResult ForOffspringOf(Guid? sire, Guid? dam)
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{
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int generations = GenerationsAvailable(sire, dam);
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if (sire is not Guid s || dam is not Guid d)
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{
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// A parent is unknown → no inbreeding can be established.
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return new InbreedingResult(0.0, 0.0, generations, Array.Empty<CommonAncestorContribution>());
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}
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var contributions = Coefficient(s, d);
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double f = contributions.Values.Sum();
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var commonAncestors = contributions
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.Select(kv => new CommonAncestorContribution(kv.Key, NameOf(kv.Key), kv.Value))
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.OrderByDescending(c => c.Contribution)
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.ThenBy(c => c.Name, StringComparer.OrdinalIgnoreCase)
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.ToList();
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return new InbreedingResult(f, f * 100.0, generations, commonAncestors);
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}
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/// <summary>
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/// Per-common-ancestor contributions to the kinship of <paramref name="sire"/>
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/// and <paramref name="dam"/>. The sum of the values is the coefficient.
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/// </summary>
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private Dictionary<Guid, double> Coefficient(Guid sire, Guid dam)
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{
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var sirePaths = EnumerateAncestorPaths(sire);
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var damPaths = EnumerateAncestorPaths(dam);
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// Group the dam's paths by the ancestor they terminate at for quick lookup.
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var damPathsByAncestor = damPaths
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.GroupBy(p => p[^1])
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.ToDictionary(g => g.Key, g => g.ToList());
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var contributions = new Dictionary<Guid, double>();
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foreach (var sirePath in sirePaths)
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{
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var ancestor = sirePath[^1];
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if (!damPathsByAncestor.TryGetValue(ancestor, out var matchingDamPaths))
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{
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continue;
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}
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var sireNodes = new HashSet<Guid>(sirePath);
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foreach (var damPath in matchingDamPaths)
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{
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// The two chains may meet only at the common ancestor itself.
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if (damPath.Any(node => node != ancestor && sireNodes.Contains(node)))
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{
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continue;
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}
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int n1 = sirePath.Count - 1;
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int n2 = damPath.Count - 1;
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double term = Math.Pow(0.5, n1 + n2 + 1) * (1.0 + F(ancestor));
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contributions[ancestor] = contributions.GetValueOrDefault(ancestor) + term;
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}
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}
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return contributions;
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}
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/// <summary>Inbreeding coefficient F of a single individual (memoized).</summary>
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private double F(Guid id)
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{
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if (_fCache.TryGetValue(id, out var cached))
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{
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return cached;
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}
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// Defend against accidental cycles in the data.
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if (!_fInProgress.Add(id))
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{
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return 0.0;
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}
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double f = 0.0;
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var (father, mother) = ParentsOf(id);
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if (father is Guid s && mother is Guid d)
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{
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f = Coefficient(s, d).Values.Sum();
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}
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_fInProgress.Remove(id);
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_fCache[id] = f;
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return f;
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}
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/// <summary>
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/// Every chain of parent links starting at <paramref name="start"/>, including
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/// the trivial chain [start] itself. Each returned list runs from the start
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/// individual down to one of its ancestors (inclusive). A visited set keeps the
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/// walk finite even if the data contains a cycle.
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/// </summary>
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private List<List<Guid>> EnumerateAncestorPaths(Guid start)
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{
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var all = new List<List<Guid>>();
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var path = new List<Guid>();
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void Walk(Guid node)
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{
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path.Add(node);
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all.Add(new List<Guid>(path));
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var (father, mother) = ParentsOf(node);
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foreach (var parent in new[] { father, mother })
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{
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if (parent is Guid p && !path.Contains(p))
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{
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Walk(p);
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}
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}
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path.RemoveAt(path.Count - 1);
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}
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Walk(start);
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return all;
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}
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/// <summary>
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/// Deepest generation of known ancestry for the offspring of the two parents
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/// (parents = 1, grandparents = 2, …). 0 when neither parent is known.
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/// </summary>
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private int GenerationsAvailable(Guid? sire, Guid? dam)
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{
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int FromParent(Guid? parent) => parent is Guid p ? 1 + AncestorDepth(p) : 0;
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return Math.Max(FromParent(sire), FromParent(dam));
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}
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/// <summary>Number of ancestral generations above <paramref name="id"/> (0 for a founder).</summary>
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private int AncestorDepth(Guid id)
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{
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if (_depthCache.TryGetValue(id, out var cached))
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{
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return cached;
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}
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// Temporary 0 breaks any cycle while the real value is computed.
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_depthCache[id] = 0;
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var (father, mother) = ParentsOf(id);
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int depth = 0;
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if (father is Guid f)
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{
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depth = Math.Max(depth, 1 + AncestorDepth(f));
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}
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if (mother is Guid m)
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{
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depth = Math.Max(depth, 1 + AncestorDepth(m));
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}
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_depthCache[id] = depth;
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return depth;
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}
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private (Guid? Father, Guid? Mother) ParentsOf(Guid id) =>
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_parents.TryGetValue(id, out var p) ? p : (null, null);
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private string NameOf(Guid id) =>
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_names.TryGetValue(id, out var name) ? name : id.ToString();
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}
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}
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