from langchain_core.tools import tool
from image_to_text_tool import image_to_text
from utils import get_base64
from typing import Literal

@tool
def convert_chessboard_image_to_fen(chessboard_image_base64_path: str, current_player: Literal["black", "white"]) -> str:
    """
    Given the path to a file with a chessboard image in base64, returns the FEN description of the chessboard.

    Args:
        image_path: Path to the image file with the chessboard.
        current_player: Whose turn it is to play. Must be either 'black' or 'white'.
    Returns:
        JSON with FEN (Forsyth-Edwards Notation) string representing the current board position.
    """

    chessboard_image_base64_str = get_base64(chessboard_image_base64_path)

    print("Calling chessboard description")

    fen = image_to_text.invoke(
        {
        "image_base64_str": chessboard_image_base64_str, 
        "instructions": f'Return the fen notation of this chessboard. Assume {current_player} will play.'
        }
    )

    print("FEN returned: " + fen)

    #gabarito do FEN: 3r2k1/pp3pp1/4b2p/7Q/3n4/PqBBR2P/5PP1/6K1 b - - 0 1