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ptn_parser.py
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ptn_parser.py
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import sys
import typing
from tqdm import tqdm
from position_processor import PositionProcessor
from tak import GameState
from db_extractor import get_moves_array
def add_game(game: dict, dp: PositionProcessor, max_plies=sys.maxsize):
ptn_array = get_moves_array(game['notation'])
all_moves = ptn_array[0:min(len(ptn_array), max_plies)]
# create board
tak = GameState(game['size'])
# add game to database
result = game['result']
komi = int(game['komi'] or 0)
game_id = dp.add_game(
size=game['size'],
playtak_id=game['id'],
white_name=game['player_white'],
black_name=game['player_black'],
result=game['result'],
komi=komi,
rating_white=game['rating_white'],
rating_black=game['rating_black'],
date=game['date'],
tournament=bool(game['tournament'])
)
# make all moves
last_tps = tak.get_tps()
for move in all_moves:
tak.move(move)
current_tps = tak.get_tps() # we want to calculate the TPS only once per game state
dp.add_position(game_id, move, result, last_tps, current_tps, tak)
last_tps = current_tps
dp.add_position(game_id, None, result, last_tps, None, tak)
def add_games_to_db(games: typing.Iterable[dict], dp: PositionProcessor, max_plies=30):
games = list(games)
with tqdm(total=len(games), mininterval=0.5, maxinterval=2.0) as progress:
for game in games:
add_game(game, dp, max_plies)
progress.update()