import dataclasses
import datetime
import logging
import datetime
from collections.abc import Iterator, Mapping
from decimal import Decimal
from pathlib import Path
import bs4
import zoneinfo

from personal_data.data import DeduplicateMode, Scraper

from .. import secrets

logger = logging.getLogger(__name__)

STATS_FILE_PATH: Path = Path('/home/jmaa/.itgmania/Save/LocalProfiles/00000000/Stats.xml')

@dataclasses.dataclass(frozen=True)
class Stepmania(Scraper):
    dataset_name = 'stepmania'
    deduplicate_mode = DeduplicateMode.BY_ALL_COLUMNS
    deduplicate_ignore_columns = []

    def scrape(self) -> Iterator[Mapping[str, object]]:
        timezone = zoneinfo.ZoneInfo(
            'Europe/Copenhagen',
        )  # TODO: Parameterize in an intelligent manner

        print(STATS_FILE_PATH)

        with open(STATS_FILE_PATH) as f:
            soup = bs4.BeautifulSoup(f.read(), 'lxml-xml')

        # Derp
        for score in soup.select('SongScores Song HighScoreList HighScore'):
            print(score.parent.parent)
            song = score.parent.parent.parent
            song_path = Path(song ['Dir'].removesuffix('/'))

            disqualified = score.select_one('Disqualified').get_text().strip() != '0'
            if disqualified:
                logger.warning('Ignored disqualified')
                continue

            play_start = datetime.datetime.fromisoformat(score.select_one('DateTime').get_text())
            play_start = play_start.replace(tzinfo=timezone).astimezone(datetime.UTC)

            play_seconds = float(score.select_one('SurviveSeconds').get_text())

            yield {
                    'song.name': song_path.stem,
                    'song.pack': song_path.parent.stem,
                    'song.difficulty': score.parent.parent['Difficulty'],
                    'song.grade': score.select_one('Grade').get_text(),
                    'play.start': play_start,
                    'play.duration': datetime.timedelta(seconds=play_seconds),
                    'score.score': float(score.select_one('PercentDP').get_text()),
                    'score.w1': int(score.select_one('W1').get_text()),
                    'score.w2': int(score.select_one('W2').get_text()),
                    'score.w3': int(score.select_one('W3').get_text()),
                    'score.w4': int(score.select_one('W4').get_text()),
                    'score.w5': int(score.select_one('W5').get_text()),
                    'score.miss': int(score.select_one('Miss').get_text()),
            }