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# tools/image_chess_solver.py | |
import chess | |
import chess.engine | |
import tempfile | |
from PIL import Image | |
# Path to your Stockfish binary (update if needed) | |
STOCKFISH_PATH = "/usr/bin/stockfish" | |
def analyze_position_from_fen(fen: str, time_limit: float = 1.0) -> str: | |
""" | |
Uses Stockfish to analyze the best move from a given FEN string. | |
Args: | |
fen (str): Forsyth–Edwards Notation of the board. | |
time_limit (float): Time to let Stockfish think. | |
Returns: | |
str: Best move in algebraic notation. | |
""" | |
try: | |
board = chess.Board(fen) | |
engine = chess.engine.SimpleEngine.popen_uci(STOCKFISH_PATH) | |
result = engine.play(board, chess.engine.Limit(time=time_limit)) | |
engine.quit() | |
return board.san(result.move) | |
except Exception as e: | |
return f"Stockfish error: {e}" | |
def solve_chess_image(image_path: str) -> str: | |
""" | |
Stub function for image-to-FEN. Replace with actual OCR/vision logic. | |
Args: | |
image_path (str): Path to chessboard image. | |
Returns: | |
str: Best move or error. | |
""" | |
# Placeholder FEN for development (e.g., black to move, guaranteed mate) | |
sample_fen = "6k1/5ppp/8/8/8/8/5PPP/6K1 b - - 0 1" | |
try: | |
print(f"Simulating FEN extraction from image: {image_path}") | |
# Replace the above with actual OCR image-to-FEN logic | |
best_move = analyze_position_from_fen(sample_fen) | |
return f"Detected FEN: {sample_fen}\nBest move for Black: {best_move}" | |
except Exception as e: | |
return f"Image analysis error: {e}" | |