@tool
def PNG2FENTool(png_file: str) -> str:
    """Tool for converting a PNG file containing a chess board to a FEN position string.
    Args:
        png_file (str): The path to the PNG file.
    Returns:
        str: The FEN position string representing the chess board.
    """
#    Raises:
#    - FileNotFoundError:
#        If the PNG file does not exist.
#    - ValueError:
#        If the PNG file cannot be processed or does not contain a valid chess board.

    try:
        # Open and preprocess image with modern Pillow
        img = Image.open(png_file)
        img = ImageOps.exif_transpose(img).convert("L")
        
        # Use LANCZOS instead of ANTIALIAS
        img = img.resize((img.width*2, img.height*2), Image.Resampling.LANCZOS)
        
        # Save temp file for OCR
        temp_path = "chess_temp.png"
        img.save(temp_path)
        
        # Perform OCR
        import easyocr
        reader = easyocr.Reader(['en'])
        result = reader.readtext(png_file, detail=0)
        fen_candidates = [text for text in result if validate_fen_format(text)]
        
        if not fen_candidates:
            raise ValueError("No valid FEN found in image")
            
        return fen_candidates[0]
        
    except Exception as e:
        raise ValueError(f"OCR processing failed: {str(e)}")
    
    
#    try:
#        # Open the PNG file using PIL
#        image = Image.open(png_file)
#
#        # Use pytesseract to extract text from the image
#        text = pytesseract.image_to_string(image)
#
#        # Process the extracted text to get the FEN position string
#        fen_position = process_text_to_fen(text)
#
#        return fen_position
#
    except FileNotFoundError:
        raise FileNotFoundError("PNG file not found.")
#
#    except Exception as e:
#        raise ValueError("Error processing PNG file: " + str(e))

def process_text_to_fen(text):
    """
    Processes the extracted text from the image to obtain the FEN position string.
    Parameters:
    - text: str
        The extracted text from the image.
    Returns:
    - str:
        The FEN position string representing the chess board.
    Raises:
    - ValueError:
        If the extracted text does not contain a valid chess board.
    """

    # Process the text to remove any unnecessary characters or spaces
    processed_text = text.strip().replace("\n", "").replace(" ", "")

    # Check if the processed text matches the expected format of a FEN position string
    if not validate_fen_format(processed_text):
        raise ValueError("Invalid chess board.")

    return processed_text

def validate_fen_format(fen_string):
    """
    Validates if a given string matches the format of a FEN (Forsyth–Edwards Notation) position string.
    Parameters:
    - fen_string: str
        The string to be validated.
    Returns:
    - bool:
        True if the string matches the FEN format, False otherwise.
    """

    # FEN format: 8 sections separated by '/'
    sections = fen_string.split("/")
    if len(sections) != 8:
        return False

    # Check if each section contains valid characters
    for section in sections:
        if not validate_section(section):
            return False

    return True

def validate_section(section):
    """
    Validates if a given section of a FEN (Forsyth–Edwards Notation) position string contains valid characters.
    Parameters:
    - section: str
        The section to be validated.
    Returns:
    - bool:
        True if the section contains valid characters, False otherwise.
    """

    # Valid characters: digits 1-8 or letters 'r', 'n', 'b', 'q', 'k', 'p', 'R', 'N', 'B', 'Q', 'K', 'P'
    valid_chars = set("12345678rnbqkpRNBQKP")
    return all(char in valid_chars for char in section)

import chess
import chess.engine

class ChessEngineTool(Tool):
    name = "chess_engine"
    description = "Analyzes a chess position (FEN) with Stockfish and returns the best move."
    inputs = {
        "fen": {"type": "string", "description": "FEN string of the position."},
        "time_limit": {"type": "number", "description": "Time in seconds for engine analysis.", "nullable": True}
    }
    output_type = "string"

    def forward(self, fen: str, time_limit: float = 0.1) -> str:
        # figure out where the binary actually is
        sf_bin = shutil.which("stockfish") or "/usr/games/stockfish"
        if not sf_bin:
            raise RuntimeError(
                f"Cannot find stockfish on PATH or at /usr/games/stockfish. "
                "Did you install it in apt.txt or via apt-get?"
            )

        board = chess.Board(fen)
        engine = chess.engine.SimpleEngine.popen_uci(sf_bin)
        result = engine.play(board, chess.engine.Limit(time=time_limit))
        engine.quit()
        return board.san(result.move)