import os import shutil import subprocess import logging from typing import Optional, Tuple import chess class RandomEngine: """ Thin wrapper around the C engine in C/lichess_random_engine/random_engine. Contract: - Given a chess.Board, call the C binary with all legal moves encoded as UCI (with optional annotations in the future). The binary prints the chosen move's UCI on stdout (or JSON when --explain, which we don't need). - We do not compute or rank anything in Python; we just pass through moves and play exactly what the engine returns. - If the binary is missing or returns an invalid/illegal move, raise. """ def __init__(self, *, engine_path: Optional[str] = None, max_time_sec: float = 2.0, depth: Optional[int] = None): self.max_time_sec = max_time_sec # depth is accepted for compatibility with existing callers but is unused; # the C engine handles its own scoring/selection. self.depth = depth # Default relative path inside this repo default_path = os.path.abspath( os.path.join( os.path.dirname(__file__), "..", "..", "C", "lichess_random_engine", "random_engine", ) ) self.engine_path = engine_path or default_path if not os.path.isfile(self.engine_path) or not os.access(self.engine_path, os.X_OK): raise FileNotFoundError( f"C engine not found or not executable at '{self.engine_path}'. " "Build it first (make -C C/lichess_random_engine)." ) def _call_engine(self, args: list[str], *, timeout: float) -> str: try: proc = subprocess.run( [self.engine_path] + args, capture_output=True, text=True, timeout=timeout, check=True, ) except subprocess.CalledProcessError as e: stderr = (e.stderr or "").strip() raise RuntimeError(f"C engine failed: {stderr or e}") from e except subprocess.TimeoutExpired as e: raise TimeoutError("C engine timed out") from e out = (proc.stdout or "").strip() return out def choose_move(self, board: chess.Board) -> chess.Move: mv, _ = self.choose_move_with_explanation(board, time_budget_sec=self.max_time_sec) return mv def choose_move_with_explanation(self, board: chess.Board, *, time_budget_sec: float) -> Tuple[Optional[chess.Move], str]: # Collect legal moves and send to engine as plain UCI tokens. legal = list(board.legal_moves) if not legal: return None, "no_legal_moves" args = ["--fen", board.fen()] + [m.uci() for m in legal] # Optionally pass a seed for reproducibility when desired; keep default behavior otherwise. # We deliberately avoid adding annotations here per request. output = self._call_engine(args, timeout=max(0.1, time_budget_sec)) # The engine, without --explain, should print the chosen UCI. chosen_uci = output.splitlines()[-1].strip() if output else "" try: move = chess.Move.from_uci(chosen_uci) except Exception: raise RuntimeError(f"Engine returned invalid move: '{chosen_uci}' (output: {output!r})") if move not in board.legal_moves: raise RuntimeError(f"Engine returned illegal move for position: {chosen_uci}") return move, "from_c_engine" def evaluate_proposed_move_with_suggestion( self, board: chess.Board, proposed_move_uci: str, *, time_budget_sec: float, ) -> Tuple[float, str, Optional[chess.Move], str]: """ Ask the C engine to explain the current move list and analyze a specific candidate. Returns (candidate_score, candidate_expl, best_move, best_expl) where explanations are concise JSON snippets from the engine. All logic is delegated to the C binary; no scoring is done in Python. """ legal = list(board.legal_moves) if not legal: return 0.0, "no_legal_moves", None, "no_best_move" args = ["--fen", board.fen(), "--explain", "--analyze", proposed_move_uci] + [m.uci() for m in legal] out = self._call_engine(args, timeout=max(0.1, time_budget_sec)) # Try to parse the engine's JSON explanation import json as _json cand_score = 0.0 best_move: Optional[chess.Move] = None cand_expl = out best_expl = out try: data = _json.loads(out) # candidate score if provided analyze = data.get("analyze") or {} cs = analyze.get("candidate_score") if isinstance(cs, (int, float)): cand_score = float(cs) # best move chosen = data.get("chosen_move") if isinstance(chosen, str): try: bm = chess.Move.from_uci(chosen) if bm in board.legal_moves: best_move = bm except Exception: best_move = None # Store compact explanations for debugging cand_expl = _json.dumps(analyze, ensure_ascii=False) best_expl = _json.dumps({ "chosen_index": data.get("chosen_index"), "chosen_move": data.get("chosen_move"), }, ensure_ascii=False) except Exception: # Leave defaults with raw output text pass return cand_score, cand_expl, best_move, best_expl