This commit is contained in:
Josh-Heaps
2026-06-12 18:02:09 -06:00
parent 743c395e11
commit f09ca60315
23 changed files with 1286 additions and 61 deletions
@@ -7,7 +7,10 @@ namespace JoshHeaps.Net.Services.Implementations;
public enum ChessEngineKind
{
Stockfish,
Custom
Custom,
/// <summary>The custom engine with the reinforcement-learned piece-square evaluation.</summary>
CustomLearned
}
/// <summary>Configuration selecting which <see cref="IChessEngine"/> to use.</summary>
@@ -19,14 +22,19 @@ public sealed class ChessEngineOptions
}
/// <summary>Creates the configured <see cref="IChessEngine"/> per game.</summary>
public sealed class ChessEngineFactory(IOptions<ChessEngineOptions> options) : IChessEngineFactory
public sealed class ChessEngineFactory(
IOptions<ChessEngineOptions> options,
ILearnedWeightsStore weightsStore) : IChessEngineFactory
{
private readonly ChessEngineKind _kind = options.Value.Engine;
public IChessEngine Create(int skill) => _kind switch
public IChessEngine Create(int skill) => Create(skill, _kind);
public IChessEngine Create(int skill, ChessEngineKind kind) => kind switch
{
ChessEngineKind.Custom => new CustomChessEngine(skill),
ChessEngineKind.CustomLearned => new CustomChessEngine(skill, EngineVariant.Learned, weightsStore.WeightsFilePath),
ChessEngineKind.Stockfish => new Stockfish(skill),
_ => throw new InvalidOperationException($"Unknown chess engine '{_kind}'.")
_ => throw new InvalidOperationException($"Unknown chess engine '{kind}'.")
};
}
@@ -11,23 +11,60 @@ namespace JoshHeaps.Net.Services.Implementations;
/// </summary>
public sealed class ComputerMoveOrchestrator(
IHubContext<ChessHub> chessHub,
IChessService chessService) : IComputerMoveOrchestrator
IChessService chessService,
ILearnedWeightsStore weightsStore) : IComputerMoveOrchestrator
{
public async Task<(MoveDto move, MoveResultDto result)> PlayAsync(GameState state, IChessEngine engine)
public async Task<(MoveDto move, MoveResultDto result)> PlayAsync(GameState state)
{
var engine = (state.CurrentPlayer == PieceColor.White ? state.WhiteComputer : state.BlackComputer)
?? throw new InvalidOperationException($"No engine is set for {state.CurrentPlayer} in game {state.GameId}.");
var uci = await engine.GetBestMoveAsync(state.ToFen(), state.RepetitionHistory());
var move = uci.ToMoveDto(state, CurrentPlayerId(state));
var move = uci.ToMoveDto(
state,
state.CurrentPlayer == PieceColor.White
? state.WhitePlayerId
: state.BlackPlayerId);
return await ApplyAndBroadcastAsync(state, move);
}
public async Task PlayRandomMoveAsync(GameState state)
{
var options = chessService.GetAllLegalMoves(state);
// No legal moves means the game is already over; let the caller's loop detect it.
if (options.Count == 0)
return;
var (piece, moves) = options[Random.Shared.Next(options.Count)];
var target = moves[Random.Shared.Next(moves.Count)];
var move = new MoveDto
{
GameId = state.GameId,
PlayerId = CurrentPlayerId(state),
PieceId = piece.Id,
SourceRow = piece.Position.Row,
SourceCol = piece.Position.Col,
TargetRow = target.Row,
TargetCol = target.Col,
PromotionChoice = null // a pawn cannot reach the last rank within the opening plies
};
await ApplyAndBroadcastAsync(state, move);
}
private async Task<(MoveDto move, MoveResultDto result)> ApplyAndBroadcastAsync(GameState state, MoveDto move)
{
var result = chessService.MakeMove(state, move);
// Record the played position for training (no-op for non-training games).
if (state.Trainer != nint.Zero)
weightsStore.Record(state.Trainer, state.ToFen());
await chessHub.Clients.Group(state.GameId.ToString())
.SendAsync("ReceiveMoveUpdate", state.GameId.ToString(), move, result, state.ToDto());
return (move, result);
}
private static Guid CurrentPlayerId(GameState state) =>
state.CurrentPlayer == PieceColor.White ? state.WhitePlayerId : state.BlackPlayerId;
}
@@ -5,6 +5,16 @@ using System.Runtime.InteropServices;
namespace JoshHeaps.Net.Services.Implementations;
/// <summary>Which evaluation the native engine uses.</summary>
public enum EngineVariant
{
/// <summary>The hand-crafted evaluation.</summary>
Classic,
/// <summary>Material plus a learned per-square bonus table loaded from a weights file.</summary>
Learned
}
/// <summary>
/// Middleman wrapper over the native custom chess engine (chess_engine.dll / libchess_engine.so).
/// Shares <see cref="IChessEngine"/> with <see cref="Stockfish"/> so the two are swappable.
@@ -16,11 +26,17 @@ public sealed partial class CustomChessEngine : IChessEngine
public int Skill { get; }
public CustomChessEngine(int skill = 20)
public CustomChessEngine(int skill = 20, EngineVariant variant = EngineVariant.Classic, string? weightsPath = null)
{
Skill = skill;
var handle = NativeMethods.engine_create($"skill={skill}");
// weights= must come last: the native side reads the path as the rest of the
// string, which lets it contain ';' and spaces.
var options = variant == EngineVariant.Learned
? $"skill={skill};variant=learned;weights={weightsPath}"
: $"skill={skill}";
var handle = NativeMethods.engine_create(options);
if (handle == IntPtr.Zero)
throw new InvalidOperationException("Native chess engine failed to initialize (engine_create returned null).");
@@ -79,8 +95,9 @@ public sealed partial class CustomChessEngine : IChessEngine
/// <summary>
/// P/Invoke surface for chess_engine.(dll|so). The resolver maps the logical name
/// "chess_engine" to the platform binary in the Resources folder (mirrors Stockfish).
/// Internal so <see cref="LearnedWeightsStore"/> can share the single import resolver.
/// </summary>
private static partial class NativeMethods
internal static partial class NativeMethods
{
private const string LibName = "chess_engine";
@@ -115,5 +132,31 @@ public sealed partial class CustomChessEngine : IChessEngine
[LibraryImport(LibName)]
[UnmanagedCallConv(CallConvs = [typeof(CallConvCdecl)])]
internal static partial void engine_destroy(IntPtr engine);
// ---- Learned-weights / training ABI (see chess_engine.h) ----
[LibraryImport(LibName, StringMarshalling = StringMarshalling.Utf8)]
[UnmanagedCallConv(CallConvs = [typeof(CallConvCdecl)])]
internal static partial void learned_load(string path);
[LibraryImport(LibName)]
[UnmanagedCallConv(CallConvs = [typeof(CallConvCdecl)])]
internal static unsafe partial int weights_snapshot(int* outBuf, int outLen);
[LibraryImport(LibName)]
[UnmanagedCallConv(CallConvs = [typeof(CallConvCdecl)])]
internal static partial IntPtr trainer_create();
[LibraryImport(LibName, StringMarshalling = StringMarshalling.Utf8)]
[UnmanagedCallConv(CallConvs = [typeof(CallConvCdecl)])]
internal static partial void trainer_record(IntPtr trainer, string fen);
[LibraryImport(LibName)]
[UnmanagedCallConv(CallConvs = [typeof(CallConvCdecl)])]
internal static partial void trainer_apply(IntPtr trainer, int winner, double weight);
[LibraryImport(LibName)]
[UnmanagedCallConv(CallConvs = [typeof(CallConvCdecl)])]
internal static partial void trainer_destroy(IntPtr trainer);
}
}
@@ -0,0 +1,64 @@
using JoshHeaps.Net.Models;
using JoshHeaps.Net.Services.Interfaces;
namespace JoshHeaps.Net.Services.Implementations;
/// <summary>
/// Managed facade over the native learned-weights model (see <see cref="ILearnedWeightsStore"/>).
/// On construction it points the native engine at the weights file; everything else delegates
/// to the shared native ABI in <see cref="CustomChessEngine"/>.
/// </summary>
public sealed class LearnedWeightsStore : ILearnedWeightsStore
{
private const int Pieces = 6; // Pawn..King
private const int Squares = 64;
private const int Features = 8; // mobility N/B/R/Q, passed, isolated, doubled, king safety
public string WeightsFilePath { get; }
public LearnedWeightsStore(IHostEnvironment env)
{
WeightsFilePath = Path.Combine(env.ContentRootPath, "chess-data", "learned-weights.txt");
Directory.CreateDirectory(Path.GetDirectoryName(WeightsFilePath)!);
CustomChessEngine.NativeMethods.learned_load(WeightsFilePath);
}
public nint CreateTrainer() => CustomChessEngine.NativeMethods.trainer_create();
public void Record(nint trainer, string fen) =>
CustomChessEngine.NativeMethods.trainer_record(trainer, fen);
public void ApplyResult(nint trainer, PieceColor winner, double weight) =>
CustomChessEngine.NativeMethods.trainer_apply(trainer, winner == PieceColor.White ? 0 : 1, weight);
public void DestroyTrainer(nint trainer) =>
CustomChessEngine.NativeMethods.trainer_destroy(trainer);
public LearnedWeightsSnapshot Snapshot()
{
const int total = Pieces * Squares * 2 + Features;
var buffer = new int[total];
unsafe
{
fixed (int* p = buffer)
CustomChessEngine.NativeMethods.weights_snapshot(p, total);
}
var mg = new int[Pieces][];
var eg = new int[Pieces][];
for (int piece = 0; piece < Pieces; piece++)
{
mg[piece] = new int[Squares];
eg[piece] = new int[Squares];
Array.Copy(buffer, piece * Squares, mg[piece], 0, Squares);
Array.Copy(buffer, Pieces * Squares + piece * Squares, eg[piece], 0, Squares);
}
var features = new int[Features];
Array.Copy(buffer, Pieces * Squares * 2, features, 0, Features);
return new LearnedWeightsSnapshot(mg, eg, features);
}
}