适配 Trending (#539)

*  适配 v1 tetrio 的 Trending

* 🗃️ 添加 compare_delta 配置项

* 🗃️ 添加 TETRIOLeagueUserMap 索引表

*  添加对比时间配置项

*  添加 compare_delta 解析函数

*  添加 Trending 类的 compare 方法

* 🗃️ 移除不正确的复合索引

*  定时任务拉取tl数据时同步更新索引

*  适配 trending

* 🐛 修复 find_entry 在无 uid 时的索引返回逻辑

* 📝 修正 compare_delta 迁移父迁移注释

* 🗃️ 为非 PostgreSQL 回填迁移补充外键约束

* 🔒 迁移中使用参数绑定设置 PG 内存参数

*  修正 Trends 的 vs 为 adpm

* 🐛 修正获取玩家 ID 的范围
This commit is contained in:
呵呵です
2026-02-23 01:04:01 +08:00
committed by GitHub
parent 14f3e6960e
commit ba0d1677cf
19 changed files with 1267 additions and 149 deletions

View File

@@ -1,9 +1,9 @@
from collections import defaultdict
from collections.abc import Callable, Sequence
from collections.abc import Callable, Iterator, Sequence
from datetime import datetime, timedelta, timezone
from math import floor
from statistics import mean
from typing import TYPE_CHECKING
from typing import TYPE_CHECKING, TypeVar
from uuid import uuid4
from nonebot import get_driver
@@ -22,7 +22,13 @@ from ..api.schemas.base import P
from ..api.schemas.leaderboards import Parameter
from ..api.schemas.leaderboards.by import Entry
from ..constant import RANK_PERCENTILE
from ..models import TETRIOLeagueHistorical, TETRIOLeagueStats, TETRIOLeagueStatsField
from ..models import (
TETRIOLeagueHistorical,
TETRIOLeagueStats,
TETRIOLeagueStatsField,
TETRIOLeagueUserMap,
TETRIOUserUniqueIdentifier,
)
if TYPE_CHECKING:
from ..api.schemas.leaderboards.by import BySuccessModel
@@ -81,6 +87,14 @@ def find_special_player(
return sort(users, field)
T = TypeVar('T')
def _chunked(values: list[T], size: int) -> Iterator[list[T]]:
for i in range(0, len(values), size):
yield values[i : i + size]
@scheduler.scheduled_job('cron', hour='0,6,12,18', minute=0)
async def get_tetra_league_data() -> None:
x_session_id = uuid4()
@@ -94,9 +108,7 @@ async def get_tetra_league_data() -> None:
if len(model.data.entries) < 100: # 分页值 # noqa: PLR2004
break
players: list[Entry] = []
for result in results:
players.extend([i for i in result.data.entries if isinstance(i, Entry)])
players = [i for result in results for i in result.data.entries if isinstance(i, Entry)]
players.sort(key=lambda x: x.league.tr, reverse=True)
rank_player_mapping: defaultdict[Rank, list[Entry]] = defaultdict(list)
@@ -132,8 +144,37 @@ async def get_tetra_league_data() -> None:
]
stats.raw = historicals
stats.fields = fields
player_ids = {i.id for result in results for i in result.data.entries}
async with get_session() as session:
session.add(stats)
existing_ids: list[TETRIOUserUniqueIdentifier] = []
for chunk in _chunked(list(player_ids), 500):
existing_ids.extend(
(
await session.scalars(
select(TETRIOUserUniqueIdentifier).filter(
TETRIOUserUniqueIdentifier.user_unique_identifier.in_(chunk)
)
)
).all()
)
new_ids = [
TETRIOUserUniqueIdentifier(user_unique_identifier=i)
for i in player_ids - {i.user_unique_identifier for i in existing_ids}
]
session.add_all(new_ids)
await session.flush()
uid_mapping = {i.user_unique_identifier: i.id for i in list(existing_ids) + new_ids}
maps: list[TETRIOLeagueUserMap] = []
for i in stats.raw:
for index, entry in enumerate(i.data.data.entries):
maps.append(
TETRIOLeagueUserMap(
stats_id=stats.id, uid_id=uid_mapping[entry.id], hist_id=i.id, entry_index=index
)
)
session.add_all(maps)
maps.clear()
await session.commit()