Bring back the move from alpha beta

Question

I am trying to use the alpha-beta minimax trimming algorithm to return a valid transition from my board. The algorithm returns the correct value, but I have no idea how I should return the move. In the case of this code, I would like to return the child to get_successor_stateswhen the value of bestValue is greater than the current alpha. I was thinking about returning two values ​​at the end of max and min, like return bestValue, child, but I have no idea how to get this to work with other calls

def alpha_beta_pruning(board, depth, alpha, beta, isMaximizingPlayer):

    if depth == 0:
        return evaluate_state(board)
    if isMaximizingPlayer:
        bestValue = -sys.maxint - 1
        bestMove = None
        for child in get_successor_states(board):
            temp_board = copy.deepcopy(board)
            temp_board.move_queen(child[0], child[1])
            temp_board.shoot_arrow(child[2])
            bestValue = max(bestValue, alpha_beta_pruning(temp_board, depth-1, alpha, beta, False))
            del temp_board
            alpha = max(alpha, bestValue)
            if beta <= alpha:
                break
        return bestValue
    else:
        bestValue = sys.maxint
        for child in get_successor_states(board):
            temp_board = copy.deepcopy(board)
            temp_board.move_queen(child[0], child[1])
            temp_board.shoot_arrow(child[2])
            bestValue = min(bestValue, alpha_beta_pruning(temp_board, depth-1, alpha, beta, True))
            del temp_board
            beta = min(beta, bestValue)
            if beta <= alpha:
                break
        return bestValue