feat(score): auto recalculate for banned beatmaps

Running every hour
This commit is contained in:
MingxuanGame
2025-08-26 15:12:14 +00:00
parent f8535fdce4
commit 60745c1269
4 changed files with 151 additions and 29 deletions

View File

@@ -583,6 +583,20 @@ async def get_user_best_pp_in_beatmap(
).first()
async def calculate_user_pp(session: AsyncSession, user_id: int, mode: GameMode) -> tuple[float, float]:
pp_sum = 0
acc_sum = 0
bps = await get_user_best_pp(session, user_id, mode)
for i, s in enumerate(bps):
pp_sum += calculate_weighted_pp(s.pp, i)
acc_sum += calculate_weighted_acc(s.acc, i)
if len(bps):
# https://github.com/ppy/osu-queue-score-statistics/blob/c538ae/osu.Server.Queues.ScoreStatisticsProcessor/Helpers/UserTotalPerformanceAggregateHelper.cs#L41-L45
acc_sum *= 100 / (20 * (1 - math.pow(0.95, len(bps))))
acc_sum = clamp(acc_sum, 0.0, 100.0)
return pp_sum, acc_sum
async def get_user_best_pp(
session: AsyncSession,
user: int,
@@ -791,18 +805,9 @@ async def process_user(
if score.passed and ranked:
with session.no_autoflush:
best_pp_scores = await get_user_best_pp(session, user.id, score.gamemode)
pp_sum = 0.0
acc_sum = 0.0
for i, bp in enumerate(best_pp_scores):
pp_sum += calculate_weighted_pp(bp.pp, i)
acc_sum += calculate_weighted_acc(bp.acc, i)
if len(best_pp_scores):
# https://github.com/ppy/osu-queue-score-statistics/blob/c538ae/osu.Server.Queues.ScoreStatisticsProcessor/Helpers/UserTotalPerformanceAggregateHelper.cs#L41-L45
acc_sum *= 100 / (20 * (1 - math.pow(0.95, len(best_pp_scores))))
acc_sum = clamp(acc_sum, 0.0, 100.0)
statistics.pp = pp_sum
statistics.hit_accuracy = acc_sum
statistics.pp, statistics.hit_accuracy = await calculate_user_pp(
session, statistics.user_id, score.gamemode
)
if add_to_db:
session.add(mouthly_playcount)
with session.no_autoflush:

View File

@@ -1,10 +1,12 @@
from __future__ import annotations
from .daily_challenge import create_daily_challenge_room
from .recalculate_banned_beatmap import recalculate_banned_beatmap
from .room import create_playlist_room, create_playlist_room_from_api
__all__ = [
"create_daily_challenge_room",
"create_playlist_room",
"create_playlist_room_from_api",
"recalculate_banned_beatmap",
]

View File

@@ -0,0 +1,130 @@
from __future__ import annotations
import asyncio
import json
from app.calculator import calculate_pp
from app.config import settings
from app.database.beatmap import BannedBeatmaps, Beatmap
from app.database.pp_best_score import PPBestScore
from app.database.score import Score, calculate_user_pp
from app.database.statistics import UserStatistics
from app.dependencies.database import get_redis, with_db
from app.dependencies.fetcher import get_fetcher
from app.dependencies.scheduler import get_scheduler
from app.log import logger
from app.models.mods import mods_can_get_pp
from sqlmodel import col, delete, select
@get_scheduler().scheduled_job("interval", id="recalculate_banned_beatmap", hours=1)
async def recalculate_banned_beatmap():
redis = get_redis()
last_banned_beatmaps = set()
last_banned = await redis.get("last_banned_beatmap")
if last_banned:
last_banned_beatmaps = set(json.loads(last_banned))
affected_users = set()
async with with_db() as session:
query = select(BannedBeatmaps.beatmap_id).distinct()
if last_banned_beatmaps:
query = query.where(col(BannedBeatmaps.beatmap_id).not_in(last_banned_beatmaps))
new_banned_beatmaps = (await session.exec(query)).all()
current_banned = (await session.exec(select(BannedBeatmaps.beatmap_id).distinct())).all()
unbanned_beatmaps = [b for b in last_banned_beatmaps if b not in current_banned]
for i in new_banned_beatmaps:
last_banned_beatmaps.add(i)
await session.execute(delete(PPBestScore).where(col(PPBestScore.beatmap_id) == i))
scores = (await session.exec(select(Score).where(Score.beatmap_id == i, Score.pp > 0))).all()
for score in scores:
score.pp = 0
affected_users.add((score.user_id, score.gamemode))
if unbanned_beatmaps:
fetcher = await get_fetcher()
for beatmap_id in unbanned_beatmaps:
last_banned_beatmaps.discard(beatmap_id)
try:
scores = (
await session.exec(
select(Score).where(
Score.beatmap_id == beatmap_id,
col(Score.passed).is_(True),
)
)
).all()
except Exception:
logger.exception(f"Failed to query scores for unbanned beatmap {beatmap_id}")
continue
prev: dict[tuple[int, int], PPBestScore] = {}
for score in scores:
attempts = 3
while attempts > 0:
try:
db_beatmap = await fetcher.get_or_fetch_beatmap_raw(redis, beatmap_id)
break
except Exception:
attempts -= 1
await asyncio.sleep(1)
else:
logger.warning(f"Could not fetch beatmap raw for {beatmap_id}, skipping pp calc")
continue
try:
beatmap_obj = await Beatmap.get_or_fetch(session, fetcher, bid=beatmap_id)
except Exception:
beatmap_obj = None
ranked = (
beatmap_obj.beatmap_status.has_pp() if beatmap_obj else False
) | settings.enable_all_beatmap_pp
if not ranked or not mods_can_get_pp(int(score.gamemode), score.mods):
continue
try:
pp = await calculate_pp(score, db_beatmap, session)
if not pp or pp == 0:
continue
key = (score.beatmap_id, score.user_id)
if key not in prev or prev[key].pp < pp:
best_score = PPBestScore(
user_id=score.user_id,
beatmap_id=beatmap_id,
acc=score.accuracy,
score_id=score.id,
pp=pp,
gamemode=score.gamemode,
)
prev[key] = best_score
affected_users.add((score.user_id, score.gamemode))
score.pp = pp
except Exception:
logger.exception(f"Error calculating pp for score {score.id} on unbanned beatmap {beatmap_id}")
continue
for best in prev.values():
session.add(best)
for user_id, gamemode in affected_users:
statistics = (
await session.exec(
select(UserStatistics)
.where(UserStatistics.user_id == user_id)
.where(col(UserStatistics.mode) == gamemode)
)
).first()
if not statistics:
continue
statistics.pp, statistics.hit_accuracy = await calculate_user_pp(session, statistics.user_id, gamemode)
await session.commit()
logger.info(
f"Recalculated banned beatmaps, banned {len(new_banned_beatmaps)} beatmaps, "
f"unbanned {len(unbanned_beatmaps)} beatmaps, affected {len(affected_users)} users"
)
await redis.set("last_banned_beatmap", json.dumps(list(last_banned_beatmaps)))

View File

@@ -1,7 +1,6 @@
from __future__ import annotations
import asyncio
import math
import os
import sys
@@ -10,16 +9,13 @@ sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from app.calculator import (
calculate_pp,
calculate_score_to_level,
calculate_weighted_acc,
calculate_weighted_pp,
clamp,
)
from app.config import settings
from app.const import BANCHOBOT_ID
from app.database import BestScore, UserStatistics
from app.database.beatmap import Beatmap
from app.database.pp_best_score import PPBestScore
from app.database.score import Score, calculate_playtime, get_user_best_pp
from app.database.score import Score, calculate_playtime, calculate_user_pp
from app.dependencies.database import engine, get_redis
from app.dependencies.fetcher import get_fetcher
from app.fetcher import Fetcher
@@ -212,18 +208,7 @@ async def _recalculate_best_score(
async def _recalculate_statistics(statistics: UserStatistics, session: AsyncSession):
async with SEMAPHORE:
pp_sum = 0
acc_sum = 0
bps = await get_user_best_pp(session, statistics.user_id, statistics.mode)
for i, s in enumerate(bps):
pp_sum += calculate_weighted_pp(s.pp, i)
acc_sum += calculate_weighted_acc(s.acc, i)
if len(bps):
# https://github.com/ppy/osu-queue-score-statistics/blob/c538ae/osu.Server.Queues.ScoreStatisticsProcessor/Helpers/UserTotalPerformanceAggregateHelper.cs#L41-L45
acc_sum *= 100 / (20 * (1 - math.pow(0.95, len(bps))))
acc_sum = clamp(acc_sum, 0.0, 100.0)
statistics.pp = pp_sum
statistics.hit_accuracy = acc_sum
statistics.pp, statistics.hit_accuracy = await calculate_user_pp(session, statistics.user_id, statistics.mode)
statistics.play_count = 0
statistics.total_score = 0