"""Interface to play against the model.
"""

import os

import chess
import chess.pgn
import random
import gradio as gr

from lczerolens import LczeroBoard, LczeroModel
from lczerolens.play import PolicySampler

from demo import constants
from demo.utils import create_board_figure


def get_sampler(model_name: str):
    model = LczeroModel.from_onnx_path(os.path.join(constants.ONNX_MODEL_DIRECTORY, model_name))
    return PolicySampler(model)

def get_pgn(board: LczeroBoard):
    game = chess.pgn.Game()
    for move in board.move_stack:
        game.add_variation(move)
    return str(game).split("\n")[-1]

def render_board(
    board: LczeroBoard,
):
    player = board.turn
    if len(board.move_stack) > 0:
        last_move_uci = board.peek().uci()
    else:
        last_move_uci = None
    
    if board.is_check():
        check = board.king(board.turn)
    else:
        check = None
    filepath = create_board_figure(
        board, 
        orientation=player,
        arrows=last_move_uci,
        square=check,
        name="play_board",
    )
    return filepath

def gather_outputs(board: LczeroBoard, sampler: PolicySampler):
    return sampler, board, board.fen(), get_pgn(board), render_board(board), ""

def get_init(model_name: str):
    sampler = get_sampler(model_name)
    is_ai_white = random.choice([True, False])
    init_board = LczeroBoard()
    if is_ai_white:
        play_ai_move(init_board, sampler)
    return gather_outputs(init_board, sampler)

def play_user_move_then_ai_move(
    uci_move: str,
    board: LczeroBoard,
    sampler: PolicySampler,
):
    board.push_uci(uci_move)
    play_ai_move(board, sampler)
    return gather_outputs(board, sampler)
    

def play_ai_move(
    board: LczeroBoard,
    sampler: PolicySampler,
):
    move, _ = next(iter(sampler.get_next_moves([board])))
    board.push(move)

with gr.Blocks() as interface:
    with gr.Row():
        with gr.Column():
            current_fen = gr.Textbox(
                label="Board FEN",
                lines=1,
                max_lines=1,
                value=chess.STARTING_FEN,
            )
            current_pgn = gr.Textbox(
                label="Action sequence",
                lines=1,
                value="",
            )
            model_name = gr.Dropdown(
                label="Model",
                choices=constants.ONNX_MODEL_NAMES,
            )
            with gr.Column():
                move_to_play = gr.Textbox(
                    label="Move to play (UCI)",
                    lines=1,
                    max_lines=1,
                    value="",
                )
                play_button = gr.Button("Play")
                reset_button = gr.Button("Reset")
        with gr.Column():
            image_board = gr.Image(label="Board", interactive=False)

    sampler = gr.State(value=None)
    board = gr.State(value=None)

    outputs = [sampler, board, current_fen, current_pgn, image_board, move_to_play]

    play_button.click(
        play_user_move_then_ai_move,
        inputs=[move_to_play, board, sampler],
        outputs=outputs,
    )
    move_to_play.submit(
        play_user_move_then_ai_move,
        inputs=[move_to_play, board, sampler],
        outputs=outputs,
    )

    model_name.change(
        get_sampler,
        inputs=[model_name],
        outputs=[sampler],
    )

    reset_button.click(
        get_init,
        inputs=[model_name],
        outputs=outputs,
    )
    interface.load(
        get_init,
        inputs=[model_name],
        outputs=outputs,
    )