Files
g0v0-server/tools/recalculate.py
2025-08-27 21:20:59 +08:00

293 lines
11 KiB
Python

from __future__ import annotations
import asyncio
import os
import sys
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from app.calculator import (
calculate_pp,
calculate_score_to_level,
)
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, calculate_user_pp
from app.dependencies.database import engine, get_redis
from app.dependencies.fetcher import get_fetcher
from app.fetcher import Fetcher
from app.log import logger
from app.models.mods import mod_to_save, mods_can_get_pp
from app.models.score import GameMode, Rank
from httpx import HTTPError
from redis.asyncio import Redis
from sqlalchemy.orm import joinedload
from sqlmodel import col, delete, select
from sqlmodel.ext.asyncio.session import AsyncSession
SEMAPHORE = asyncio.Semaphore(50)
async def run_in_batches(coros, batch_size=200):
for i in range(0, len(coros), batch_size):
await asyncio.gather(*coros[i : i + batch_size])
async def recalculate():
async with AsyncSession(engine, autoflush=False) as session:
fetcher = await get_fetcher()
redis = get_redis()
for mode in GameMode:
await session.execute(delete(PPBestScore).where(col(PPBestScore.gamemode) == mode))
await session.execute(delete(BestScore).where(col(BestScore.gamemode) == mode))
await session.commit()
logger.info(f"Recalculating for mode: {mode}")
statistics_list = (
await session.exec(
select(UserStatistics).where(
UserStatistics.mode == mode,
UserStatistics.user_id != BANCHOBOT_ID,
)
)
).all()
await run_in_batches(
[
_recalculate_pp(statistics.user_id, statistics.mode, session, fetcher, redis)
for statistics in statistics_list
],
batch_size=200,
)
await run_in_batches(
[
_recalculate_best_score(statistics.user_id, statistics.mode, session)
for statistics in statistics_list
],
batch_size=200,
)
await session.commit()
for statistics in statistics_list:
await session.refresh(statistics)
await run_in_batches(
[_recalculate_statistics(statistics, session) for statistics in statistics_list], batch_size=200
)
await session.commit()
logger.success(f"Recalculated for mode: {mode}, total users: {len(statistics_list)}")
await engine.dispose()
async def _recalculate_pp(
user_id: int,
gamemode: GameMode,
session: AsyncSession,
fetcher: Fetcher,
redis: Redis,
):
async with SEMAPHORE:
scores = (
await session.exec(
select(Score).where(
Score.user_id == user_id,
Score.gamemode == gamemode,
col(Score.passed).is_(True),
)
)
).all()
prev: dict[int, PPBestScore] = {}
async def cal(score: Score):
time = 10
beatmap_id = score.beatmap_id
while time > 0:
try:
db_beatmap = await Beatmap.get_or_fetch(session, fetcher, bid=beatmap_id)
except HTTPError:
time -= 1
await asyncio.sleep(2)
continue
ranked = db_beatmap.beatmap_status.has_pp() | settings.enable_all_beatmap_pp
if not ranked or not mods_can_get_pp(int(score.gamemode), score.mods):
score.pp = 0
return
try:
beatmap_raw = await fetcher.get_or_fetch_beatmap_raw(redis, beatmap_id)
pp = await calculate_pp(score, beatmap_raw, session)
if pp == 0:
return
score.pp = pp
if score.beatmap_id not in prev or prev[score.beatmap_id].pp < pp:
best_score = PPBestScore(
user_id=user_id,
beatmap_id=beatmap_id,
acc=score.accuracy,
score_id=score.id,
pp=pp,
gamemode=score.gamemode,
)
prev[score.beatmap_id] = best_score
return
except HTTPError:
time -= 1
await asyncio.sleep(2)
continue
except Exception:
logger.exception(f"Error calculating pp for score {score.id} on beatmap {beatmap_id}")
return
if time <= 0:
logger.warning(f"Failed to fetch beatmap {beatmap_id} after 10 attempts, retrying later...")
return score
while len(scores) > 0:
results = await asyncio.gather(*[cal(s) for s in scores])
scores = [s for s in results if s is not None]
if len(scores) == 0:
break
await asyncio.sleep(30)
logger.info(f"Retry to calculate for {gamemode}, total: {len(scores)}")
for best_score in prev.values():
session.add(best_score)
async def _recalculate_best_score(
user_id: int,
gamemode: GameMode,
session: AsyncSession,
):
async with SEMAPHORE:
beatmap_best_score: dict[int, list[BestScore]] = {}
scores = (
await session.exec(
select(Score).where(
Score.gamemode == gamemode,
col(Score.passed).is_(True),
Score.user_id == user_id,
)
)
).all()
for score in scores:
if not (
(await score.awaitable_attrs.beatmap).beatmap_status.has_leaderboard()
| settings.enable_all_beatmap_leaderboard
):
continue
mod_for_save = mod_to_save(score.mods)
bs = BestScore(
user_id=score.user_id,
score_id=score.id,
beatmap_id=score.beatmap_id,
gamemode=score.gamemode,
total_score=score.total_score,
mods=mod_for_save,
rank=score.rank,
)
if score.beatmap_id not in beatmap_best_score:
beatmap_best_score[score.beatmap_id] = [bs]
else:
b = next(
(
s
for s in beatmap_best_score[score.beatmap_id]
if s.mods == mod_for_save and s.beatmap_id == score.beatmap_id
),
None,
)
if b is None:
beatmap_best_score[score.beatmap_id].append(bs)
elif score.total_score > b.total_score:
beatmap_best_score[score.beatmap_id].remove(b)
beatmap_best_score[score.beatmap_id].append(bs)
for best_score_in_beatmap in beatmap_best_score.values():
for score in best_score_in_beatmap:
session.add(score)
async def _recalculate_statistics(statistics: UserStatistics, session: AsyncSession):
async with SEMAPHORE:
statistics.pp, statistics.hit_accuracy = await calculate_user_pp(session, statistics.user_id, statistics.mode)
statistics.play_count = 0
statistics.total_score = 0
statistics.maximum_combo = 0
statistics.play_time = 0
statistics.total_hits = 0
statistics.count_100 = 0
statistics.count_300 = 0
statistics.count_50 = 0
statistics.count_miss = 0
statistics.ranked_score = 0
statistics.grade_ss = 0
statistics.grade_ssh = 0
statistics.grade_s = 0
statistics.grade_sh = 0
statistics.grade_a = 0
scores = (
await session.exec(
select(Score)
.where(
Score.user_id == statistics.user_id,
Score.gamemode == statistics.mode,
)
.options(joinedload(Score.beatmap))
)
).all()
cached_beatmap_best: dict[int, Score] = {}
for score in scores:
beatmap: Beatmap = score.beatmap
ranked = beatmap.beatmap_status.has_pp() | settings.enable_all_mods_pp
statistics.play_count += 1
statistics.total_score += score.total_score
playtime, is_valid = calculate_playtime(score, beatmap.hit_length)
if is_valid:
statistics.play_time += playtime
statistics.count_300 += score.n300 + score.ngeki
statistics.count_100 += score.n100 + score.nkatu
statistics.count_50 += score.n50
statistics.count_miss += score.nmiss
statistics.total_hits += score.n300 + score.ngeki + score.n100 + score.nkatu + score.n50
if ranked and score.passed:
statistics.maximum_combo = max(statistics.maximum_combo, score.max_combo)
previous = cached_beatmap_best.get(score.beatmap_id)
difference = score.total_score - (previous.total_score if previous else 0)
if difference > 0:
cached_beatmap_best[score.beatmap_id] = score
statistics.ranked_score += difference
match score.rank:
case Rank.X:
statistics.grade_ss += 1
case Rank.XH:
statistics.grade_ssh += 1
case Rank.S:
statistics.grade_s += 1
case Rank.SH:
statistics.grade_sh += 1
case Rank.A:
statistics.grade_a += 1
if previous is not None:
match previous.rank:
case Rank.X:
statistics.grade_ss -= 1
case Rank.XH:
statistics.grade_ssh -= 1
case Rank.S:
statistics.grade_s -= 1
case Rank.SH:
statistics.grade_sh -= 1
case Rank.A:
statistics.grade_a -= 1
statistics.level_current = calculate_score_to_level(statistics.total_score)
if __name__ == "__main__":
asyncio.run(recalculate())