292 lines
10 KiB
Python
292 lines
10 KiB
Python
from __future__ import annotations
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import asyncio
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import math
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import os
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import sys
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
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from app.calculator import (
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calculate_pp,
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calculate_score_to_level,
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calculate_weighted_acc,
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calculate_weighted_pp,
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clamp,
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)
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from app.config import settings
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from app.const import BANCHOBOT_ID
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from app.database import BestScore, UserStatistics
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from app.database.beatmap import Beatmap
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from app.database.pp_best_score import PPBestScore
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from app.database.score import Score, calculate_playtime, get_user_best_pp
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from app.dependencies.database import engine, get_redis
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from app.dependencies.fetcher import get_fetcher
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from app.fetcher import Fetcher
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from app.log import logger
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from app.models.mods import mod_to_save, mods_can_get_pp
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from app.models.score import GameMode, Rank
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from httpx import HTTPError
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from redis.asyncio import Redis
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from sqlalchemy.orm import joinedload
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from sqlmodel import col, delete, select
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from sqlmodel.ext.asyncio.session import AsyncSession
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async def recalculate():
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async with AsyncSession(engine, autoflush=False) as session:
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fetcher = await get_fetcher()
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redis = get_redis()
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for mode in GameMode:
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await session.execute(delete(PPBestScore).where(col(PPBestScore.gamemode) == mode))
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await session.execute(delete(BestScore).where(col(BestScore.gamemode) == mode))
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await session.commit()
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logger.info(f"Recalculating for mode: {mode}")
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statistics_list = (
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await session.exec(
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select(UserStatistics).where(
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UserStatistics.mode == mode,
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UserStatistics.user_id != BANCHOBOT_ID,
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)
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)
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).all()
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await asyncio.gather(
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*[
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_recalculate_pp(statistics.user_id, statistics.mode, session, fetcher, redis)
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for statistics in statistics_list
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]
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)
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await asyncio.gather(
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*[
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_recalculate_best_score(statistics.user_id, statistics.mode, session)
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for statistics in statistics_list
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]
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)
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await session.commit()
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await asyncio.gather(*[_recalculate_statistics(statistics, session) for statistics in statistics_list])
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await session.commit()
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logger.success(f"Recalculated for mode: {mode}, total users: {len(statistics_list)}")
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await engine.dispose()
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async def _recalculate_pp(
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user_id: int,
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gamemode: GameMode,
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session: AsyncSession,
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fetcher: Fetcher,
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redis: Redis,
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):
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scores = (
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await session.exec(
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select(Score).where(
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Score.user_id == user_id,
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Score.gamemode == gamemode,
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col(Score.passed).is_(True),
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)
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)
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).all()
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prev: dict[int, PPBestScore] = {}
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async def cal(score: Score):
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time = 10
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beatmap_id = score.beatmap_id
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while time > 0:
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try:
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db_beatmap = await Beatmap.get_or_fetch(session, fetcher, bid=beatmap_id)
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except HTTPError:
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time -= 1
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await asyncio.sleep(2)
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continue
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ranked = db_beatmap.beatmap_status.has_pp() | settings.enable_all_beatmap_pp
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if not ranked or not mods_can_get_pp(int(score.gamemode), score.mods):
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score.pp = 0
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return
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try:
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beatmap_raw = await fetcher.get_or_fetch_beatmap_raw(redis, beatmap_id)
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pp = await calculate_pp(score, beatmap_raw, session)
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if pp == 0:
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return
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if score.beatmap_id not in prev or prev[score.beatmap_id].pp < pp:
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best_score = PPBestScore(
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user_id=user_id,
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beatmap_id=beatmap_id,
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acc=score.accuracy,
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score_id=score.id,
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pp=pp,
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gamemode=score.gamemode,
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)
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prev[score.beatmap_id] = best_score
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return
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except HTTPError:
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time -= 1
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await asyncio.sleep(2)
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continue
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except Exception:
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logger.exception(f"Error calculating pp for score {score.id} on beatmap {beatmap_id}")
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return
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if time <= 0:
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logger.warning(f"Failed to fetch beatmap {beatmap_id} after 10 attempts, retrying later...")
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return score
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while len(scores) > 0:
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results = await asyncio.gather(*[cal(s) for s in scores])
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scores = [s for s in results if s is not None]
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if len(scores) == 0:
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break
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await asyncio.sleep(30)
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logger.info(f"Retry to calculate for {gamemode}, total: {len(scores)}")
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for best_score in prev.values():
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session.add(best_score)
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async def _recalculate_best_score(
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user_id: int,
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gamemode: GameMode,
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session: AsyncSession,
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):
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beatmap_best_score: dict[int, list[BestScore]] = {}
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scores = (
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await session.exec(
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select(Score).where(
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Score.gamemode == gamemode,
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col(Score.passed).is_(True),
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Score.user_id == user_id,
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)
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)
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).all()
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for score in scores:
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if not (
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(await score.awaitable_attrs.beatmap).beatmap_status.has_leaderboard()
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| settings.enable_all_beatmap_leaderboard
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):
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continue
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mod_for_save = mod_to_save(score.mods)
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bs = BestScore(
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user_id=score.user_id,
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score_id=score.id,
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beatmap_id=score.beatmap_id,
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gamemode=score.gamemode,
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total_score=score.total_score,
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mods=mod_for_save,
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rank=score.rank,
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)
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if score.beatmap_id not in beatmap_best_score:
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beatmap_best_score[score.beatmap_id] = [bs]
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else:
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b = next(
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(
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s
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for s in beatmap_best_score[score.beatmap_id]
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if s.mods == mod_for_save and s.beatmap_id == score.beatmap_id
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),
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None,
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)
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if b is None:
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beatmap_best_score[score.beatmap_id].append(bs)
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elif score.total_score > b.total_score:
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beatmap_best_score[score.beatmap_id].remove(b)
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beatmap_best_score[score.beatmap_id].append(bs)
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for best_score_in_beatmap in beatmap_best_score.values():
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for score in best_score_in_beatmap:
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session.add(score)
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async def _recalculate_statistics(statistics: UserStatistics, session: AsyncSession):
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await session.refresh(statistics)
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pp_sum = 0
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acc_sum = 0
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bps = await get_user_best_pp(session, statistics.user_id, statistics.mode)
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for i, s in enumerate(bps):
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pp_sum += calculate_weighted_pp(s.pp, i)
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acc_sum += calculate_weighted_acc(s.acc, i)
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if len(bps):
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# https://github.com/ppy/osu-queue-score-statistics/blob/c538ae/osu.Server.Queues.ScoreStatisticsProcessor/Helpers/UserTotalPerformanceAggregateHelper.cs#L41-L45
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acc_sum *= 100 / (20 * (1 - math.pow(0.95, len(bps))))
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acc_sum = clamp(acc_sum, 0.0, 100.0)
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statistics.pp = pp_sum
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statistics.hit_accuracy = acc_sum
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statistics.play_count = 0
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statistics.total_score = 0
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statistics.maximum_combo = 0
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statistics.play_time = 0
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statistics.total_hits = 0
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statistics.count_100 = 0
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statistics.count_300 = 0
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statistics.count_50 = 0
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statistics.count_miss = 0
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statistics.ranked_score = 0
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statistics.grade_ss = 0
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statistics.grade_ssh = 0
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statistics.grade_s = 0
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statistics.grade_sh = 0
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statistics.grade_a = 0
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scores = (
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await session.exec(
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select(Score)
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.where(
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Score.user_id == statistics.user_id,
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Score.gamemode == statistics.mode,
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)
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.options(joinedload(Score.beatmap))
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)
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).all()
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cached_beatmap_best: dict[int, Score] = {}
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for score in scores:
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beatmap: Beatmap = score.beatmap
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ranked = beatmap.beatmap_status.has_pp() | settings.enable_all_mods_pp
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statistics.play_count += 1
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statistics.total_score += score.total_score
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playtime, is_valid = calculate_playtime(score, beatmap.hit_length)
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if is_valid:
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statistics.play_time += playtime
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statistics.count_300 += score.n300 + score.ngeki
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statistics.count_100 += score.n100 + score.nkatu
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statistics.count_50 += score.n50
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statistics.count_miss += score.nmiss
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statistics.total_hits += score.n300 + score.ngeki + score.n100 + score.nkatu + score.n50
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if ranked and score.passed:
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statistics.maximum_combo = max(statistics.maximum_combo, score.max_combo)
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previous = cached_beatmap_best.get(score.beatmap_id)
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difference = score.total_score - (previous.total_score if previous else 0)
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if difference > 0:
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cached_beatmap_best[score.beatmap_id] = score
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statistics.ranked_score += difference
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match score.rank:
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case Rank.X:
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statistics.grade_ss += 1
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case Rank.XH:
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statistics.grade_ssh += 1
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case Rank.S:
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statistics.grade_s += 1
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case Rank.SH:
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statistics.grade_sh += 1
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case Rank.A:
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statistics.grade_a += 1
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if previous is not None:
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match previous.rank:
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case Rank.X:
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statistics.grade_ss -= 1
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case Rank.XH:
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statistics.grade_ssh -= 1
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case Rank.S:
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statistics.grade_s -= 1
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case Rank.SH:
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statistics.grade_sh -= 1
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case Rank.A:
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statistics.grade_a -= 1
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statistics.level_current = calculate_score_to_level(statistics.total_score)
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if __name__ == "__main__":
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asyncio.run(recalculate())
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