feat(ai): add algorithm

This commit is contained in:
Kristofers Solo 2024-01-10 03:36:36 +02:00
parent 9c4b697722
commit 20f9b15001
7 changed files with 138 additions and 3 deletions

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@ -0,0 +1,3 @@
from .ai import run
__all__ = ["run"]

35
src/ai/ai.py Normal file
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@ -0,0 +1,35 @@
from game import Main
from game.sprites import Tetromino
from loguru import logger
from utils import BestMove, GameMode
from .move import get_best_move
def run() -> None:
app = Main(GameMode.AI_TRAINING)
game = app.game
if not game:
return
tetris = game.tetris
while True:
app.handle_events()
app.run_game_loop()
phantom_tetermino = Tetromino(tetris.phantom_sprites, None, tetris.field, tetris.tetromino.figure, True)
best_move: BestMove = get_best_move(app, game.tetris, phantom_tetermino)
figure = game.tetris.tetromino.figure
logger.debug(f"{figure.name=} {best_move=}")
for rotation in range(best_move.rotation):
tetris.tetromino.rotate()
for _ in range(abs(best_move.x_axis_offset)):
if best_move.x_axis_offset > 0:
tetris.move_right()
elif best_move.x_axis_offset < 0:
tetris.move_left()
tetris.drop()

55
src/ai/move.py Normal file
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from typing import Optional
from game import Main, Tetris
from game.sprites import Tetromino
from loguru import logger
from utils import CONFIG, BestMove, Direction, Figure
from .score import calculate_score
NUM_ROTATIONS: dict[Figure, int] = {
Figure.I: 2,
Figure.O: 1,
Figure.T: 4,
Figure.S: 2,
Figure.Z: 2,
Figure.J: 4,
Figure.L: 4,
}
def get_best_move(app: Main, game: Tetris, tetermino: Tetromino) -> BestMove:
best_move: Optional[BestMove] = None
best_score: Optional[float] = None
for rotation in range(NUM_ROTATIONS[tetermino.figure]):
for i in range(CONFIG.game.columns):
x_axis_movement: int = 0
for _ in range(rotation):
tetermino.rotate()
while tetermino.move_horizontal(Direction.LEFT): # move maximaly to the left
x_axis_movement -= 1
for _ in range(i):
if tetermino.move_horizontal(Direction.RIGHT): # slowly move to the right
x_axis_movement += 1
tetermino.drop()
score: float = calculate_score(game)
logger.debug(
f"{tetermino.figure.name=:3} {score=:6.6f} {best_score=:6.6f} {rotation=:1} {x_axis_movement=:1}"
)
tetermino.kill()
tetermino = Tetromino(game.phantom_sprites, None, game.field, game.tetromino.figure, True)
if best_score is None or score > best_score:
best_score = score
best_move = BestMove(rotation, x_axis_movement)
if not best_move:
best_move = BestMove(0, 0)
return best_move

17
src/ai/score.py Normal file
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import numpy as np
from game import Tetris
from .heuristics import aggregate_height, complete_lines, count_holes, get_bumpiness
def calculate_score(game: Tetris) -> float:
field: np.ndarray[int, np.dtype[np.uint8]] = np.where(game.field != None, 1, 0)
for block in game.tetromino.blocks:
field[int(block.pos.y), int(block.pos.x)] = 1
height = aggregate_height(field) * -0.510066
lines = complete_lines(field) * 0.760666
holes = count_holes(field) * -0.35663
bumpiness = get_bumpiness(field) * -0.184483
return height + lines + holes + bumpiness

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@ -3,7 +3,7 @@ from .enum import Direction, GameMode, Rotation
from .figure import Figure, FigureConfig
from .path import BASE_PATH
from .settings import read_settings, save_settings
from .tuples import Size
from .tuples import BestMove, Size
__all__ = [
"BASE_PATH",
@ -16,4 +16,5 @@ __all__ = [
"GameMode",
"read_settings",
"save_settings",
"BestMove",
]

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@ -17,3 +17,16 @@ class Size(NamedTuple):
if isinstance(other, Size):
return Size(self.width - other.width, self.height - other.height)
return Size(self.width - other, self.height - other)
class BestMove(NamedTuple):
"""
A best move object.
Attributes:
rotation: The rotation of the best move.
x_axis_offset: The x-axis offset of the best move.
"""
rotation: int
x_axis_offset: int

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@ -27,6 +27,13 @@ parser.add_argument(
help="Run app with GUI [Default]",
)
parser.add_argument(
"-t",
"--train",
action="store_true",
help="Train AI",
)
def setup_logger(level: str = "warning") -> None:
from utils import BASE_PATH
@ -64,10 +71,14 @@ def main(args) -> None:
level = "info"
else:
level = "warning"
setup_logger(level)
run()
if args.train: # type: ignore
import ai
ai.train()
else:
run()
if __name__ == "__main__":