FinalAssignment / tools /image_chess_solver.py
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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}"